diff --git a/.github/workflows/advanced-docker-compose-build.yml b/.github/workflows/advanced-docker-compose-build.yml index 615b2e2d..93e72d68 100644 --- a/.github/workflows/advanced-docker-compose-build.yml +++ b/.github/workflows/advanced-docker-compose-build.yml @@ -15,12 +15,12 @@ on: - "extras/speaker-recognition/**" - "extras/openmemory-mcp/**" - ".github/workflows/advanced-docker-compose-build.yml" - tags: - - "v*" + release: + types: [ published ] permissions: - contents: read + contents: write packages: write actions: read @@ -122,12 +122,14 @@ jobs: run: | if [ -n "${{ github.event.inputs.version }}" ]; then VERSION="${{ github.event.inputs.version }}" + elif [ "${{ github.event_name }}" = "release" ]; then + VERSION="${{ github.event.release.tag_name }}" elif [[ "${GITHUB_REF}" == refs/tags/* ]]; then VERSION="${GITHUB_REF#refs/tags/}" else VERSION="sha-${GITHUB_SHA::7}" fi - + echo "VERSION=$VERSION" >> "$GITHUB_OUTPUT" - name: Build, tag, and push services sequentially with version @@ -267,3 +269,53 @@ jobs: echo "Built and pushed images with version tag: ${VERSION}" echo "Images pushed to: $REGISTRY/$OWNER_LC/" echo "::endgroup::" + + - name: Update release notes with Docker images + if: github.event_name == 'release' + env: + GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + OWNER: ${{ github.repository_owner }} + VERSION: ${{ steps.version.outputs.VERSION }} + TAG_NAME: ${{ github.event.release.tag_name }} + run: | + set -euo pipefail + OWNER_LC=$(echo "$OWNER" | tr '[:upper:]' '[:lower:]') + + DOCKER_SECTION=$(cat < r.ok ? Deno.exit(0) : Deno.exit(1))"] - # interval: 30s - # timeout: 10s - # retries: 3 - # start_period: 5s - # restart: unless-stopped - # profiles: - # - mycelia - - # mycelia-frontend-test: - # build: - # context: ../../extras/mycelia - # dockerfile: frontend/Dockerfile.simple - # args: - # - VITE_API_URL=http://localhost:5100 - # ports: - # - "3002:8080" # Nginx serves on 8080 internally - # environment: - # - VITE_API_URL=http://localhost:5100 - # volumes: - # - ../../extras/mycelia/frontend/src:/app/src # Mount source for development - # depends_on: - # mycelia-backend-test: - # condition: service_healthy - # restart: unless-stopped - # profiles: - # - mycelia - # caddy: # image: caddy:2-alpine # ports: diff --git a/backends/advanced/docker-compose.yml b/backends/advanced/docker-compose.yml index d8e33c7e..65f9b9fc 100644 --- a/backends/advanced/docker-compose.yml +++ b/backends/advanced/docker-compose.yml @@ -87,7 +87,7 @@ services: context: . dockerfile: Dockerfile target: prod # Use prod stage without test dependencies - command: ["uv", "run", "python", "worker_orchestrator.py"] + command: ["python", "worker_orchestrator.py"] env_file: - .env volumes: @@ -135,7 +135,7 @@ services: context: . dockerfile: Dockerfile target: prod - command: ["uv", "run", "python", "-m", "advanced_omi_backend.cron"] + command: ["python", "-m", "advanced_omi_backend.cron"] container_name: chronicle-annotation-cron env_file: - .env diff --git a/backends/advanced/init.py b/backends/advanced/init.py index 39561c71..e1b4f240 100644 --- a/backends/advanced/init.py +++ b/backends/advanced/init.py @@ -358,7 +358,6 @@ def setup_memory(self): choices = { "1": "Chronicle Native (Qdrant + custom extraction)", "2": "OpenMemory MCP (cross-client compatible, external server)", - "3": "Mycelia (Timeline-based memory with speaker diarization)" } choice = self.prompt_choice("Choose your memory storage backend:", choices, "1") @@ -394,23 +393,6 @@ def setup_memory(self): self.console.print("[green][SUCCESS][/green] OpenMemory MCP configured in config.yml and .env") self.console.print("[yellow][WARNING][/yellow] Remember to start OpenMemory: cd ../../extras/openmemory-mcp && docker compose up -d") - elif choice == "3": - self.console.print("[blue][INFO][/blue] Mycelia memory provider selected") - - mycelia_url = self.prompt_value("Mycelia API URL", "http://localhost:5173") - timeout = self.prompt_value("Mycelia timeout (seconds)", "30") - - # Update config.yml with Mycelia settings (also updates .env automatically) - self.config_manager.update_memory_config({ - "provider": "mycelia", - "mycelia": { - "api_url": mycelia_url, - "timeout": int(timeout) - } - }) - self.console.print("[green][SUCCESS][/green] Mycelia memory provider configured in config.yml and .env") - self.console.print("[yellow][WARNING][/yellow] Make sure Mycelia is running at the configured URL") - def setup_optional_services(self): """Configure optional services""" # Check if speaker service URL provided via args diff --git a/backends/advanced/pyproject.toml b/backends/advanced/pyproject.toml index e0e964c0..ce1d0dd1 100644 --- a/backends/advanced/pyproject.toml +++ b/backends/advanced/pyproject.toml @@ -21,6 +21,7 @@ dependencies = [ "httpx>=0.28.0,<1.0.0", "fastapi-users[beanie]>=14.0.1", "PyYAML>=6.0.1", + "ruamel-yaml>=0.18.0", "omegaconf>=2.3.0", "langfuse>=3.13.0,<4.0", "spacy>=3.8.2", @@ -33,6 +34,7 @@ dependencies = [ "google-auth-httplib2>=0.2.0", "websockets>=12.0", "croniter>=1.3.0", + "rich>=13.0.0", ] [project.optional-dependencies] diff --git a/backends/advanced/scripts/create_mycelia_api_key.py b/backends/advanced/scripts/create_mycelia_api_key.py deleted file mode 100755 index 1e4bcb90..00000000 --- a/backends/advanced/scripts/create_mycelia_api_key.py +++ /dev/null @@ -1,111 +0,0 @@ -#!/usr/bin/env python3 -"""Create a proper Mycelia API key (not OAuth client) for Chronicle user.""" - -import base64 -import os -import sys -import secrets -import hashlib -from pymongo import MongoClient -from bson import ObjectId -from datetime import datetime - -# MongoDB configuration -MONGO_URL = os.getenv("MONGO_URL", "mongodb://localhost:27018") -MYCELIA_DB = os.getenv("MYCELIA_DB", os.getenv("DATABASE_NAME", "mycelia_test")) - -# User ID from JWT or argument -USER_ID = os.getenv("USER_ID", "692c7727c7b16bdf58d23cd1") # test user - - -def hash_api_key_with_salt(api_key: str, salt: bytes) -> str: - """Hash API key with salt (matches Mycelia's hashApiKey function).""" - # SHA256(salt + apiKey) in base64 - h = hashlib.sha256() - h.update(salt) - h.update(api_key.encode('utf-8')) - return base64.b64encode(h.digest()).decode('utf-8') # Use base64 like Mycelia - - -def main(): - print(f"๐Ÿ“Š MongoDB Configuration:") - print(f" URL: {MONGO_URL}") - print(f" Database: {MYCELIA_DB}\n") - - print("๐Ÿ” Creating Mycelia API Key\n") - - # Generate API key in Mycelia format: mycelia_{random_base64url} - random_part = secrets.token_urlsafe(32) - api_key = f"mycelia_{random_part}" - - # Generate salt (32 bytes) - salt = secrets.token_bytes(32) - - # Hash the API key with salt - hashed_key = hash_api_key_with_salt(api_key, salt) - - # Open prefix (first 16 chars for fast lookup) - open_prefix = api_key[:16] - - print(f"โœ… Generated API Key:") - print(f" Key: {api_key}") - print(f" Open Prefix: {open_prefix}") - print(f" Owner: {USER_ID}\n") - - # Connect to MongoDB - client = MongoClient(MONGO_URL) - db = client[MYCELIA_DB] - api_keys = db["api_keys"] - - # Check for existing active keys for this user - existing = api_keys.find_one({"owner": USER_ID, "isActive": True}) - if existing: - print(f"โ„น๏ธ Existing active API key found: {existing['_id']}") - print(f" Deactivating old key...\n") - api_keys.update_one( - {"_id": existing["_id"]}, - {"$set": {"isActive": False}} - ) - - # Create API key document (matches Mycelia's format) - api_key_doc = { - "hashedKey": hashed_key, # Note: hashedKey, not hash! - "salt": base64.b64encode(salt).decode('utf-8'), # Store as base64 like Mycelia - "owner": USER_ID, - "name": "Chronicle Integration", - "policies": [ - { - "resource": "**", - "action": "*", - "effect": "allow" - } - ], - "openPrefix": open_prefix, - "createdAt": datetime.now(), - "isActive": True, - } - - # Insert into database - result = api_keys.insert_one(api_key_doc) - client_id = str(result.inserted_id) - - print(f"๐ŸŽ‰ API Key Created Successfully!") - print(f" Client ID: {client_id}") - print(f" API Key: {api_key}") - print(f"\n" + "=" * 70) - print("๐Ÿ“‹ MYCELIA CONFIGURATION (Test Environment)") - print("=" * 70) - print(f"\n1๏ธโƒฃ Configure Mycelia Frontend Settings:") - print(f" โ€ข Go to: http://localhost:3002/settings") - print(f" โ€ข API Endpoint: http://localhost:5100") - print(f" โ€ข Client ID: {client_id}") - print(f" โ€ข Client Secret: {api_key}") - print(f" โ€ข Click 'Save' and then 'Test Token'") - print(f"\nโœ… This API key uses the proper Mycelia format with salt!") - print("=" * 70 + "\n") - - return 0 - - -if __name__ == "__main__": - sys.exit(main()) diff --git a/backends/advanced/scripts/sync_friendlite_mycelia.py b/backends/advanced/scripts/sync_friendlite_mycelia.py deleted file mode 100644 index 3849a5a9..00000000 --- a/backends/advanced/scripts/sync_friendlite_mycelia.py +++ /dev/null @@ -1,382 +0,0 @@ -#!/usr/bin/env python3 -""" -Sync Chronicle users with Mycelia OAuth credentials. - -This script helps migrate existing Chronicle installations to use Mycelia, -or sync existing Mycelia installations with Chronicle users. - -Usage: - # Dry run (preview changes) - python scripts/sync_chronicle_mycelia.py --dry-run - - # Sync all users - python scripts/sync_chronicle_mycelia.py --sync-all - - # Sync specific user - python scripts/sync_chronicle_mycelia.py --email admin@example.com - - # Check for orphaned Mycelia objects - python scripts/sync_chronicle_mycelia.py --check-orphans - - # Reassign orphaned objects to a user - python scripts/sync_chronicle_mycelia.py --reassign-orphans --target-email admin@example.com - -Environment Variables: - MONGODB_URI or MONGO_URL - MongoDB connection string - MYCELIA_DB - Mycelia database name (default: mycelia) -""" - -import os -import sys -import argparse -import secrets -import hashlib -import base64 -from datetime import datetime -from typing import List, Dict, Tuple, Optional -from pymongo import MongoClient -from bson import ObjectId - -# Add parent directory to path for imports -sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src')) - - -class ChronicleMyceliaSync: - """Sync Chronicle users with Mycelia OAuth credentials.""" - - def __init__(self, mongo_url: str, mycelia_db: str, chronicle_db: str): - self.mongo_url = mongo_url - self.mycelia_db = mycelia_db - self.chronicle_db = chronicle_db - self.client = MongoClient(mongo_url) - - print(f"๐Ÿ“Š Connected to MongoDB:") - print(f" URL: {mongo_url}") - print(f" Chronicle DB: {chronicle_db}") - print(f" Mycelia DB: {mycelia_db}\n") - - def _hash_api_key_with_salt(self, api_key: str, salt: bytes) -> str: - """Hash API key with salt (matches Mycelia's implementation).""" - h = hashlib.sha256() - h.update(salt) - h.update(api_key.encode('utf-8')) - return base64.b64encode(h.digest()).decode('utf-8') - - def get_all_chronicle_users(self) -> List[Dict]: - """Get all users from Chronicle database.""" - db = self.client[self.chronicle_db] - users = list(db["users"].find({})) - return users - - def get_all_mycelia_objects(self) -> List[Dict]: - """Get all objects from Mycelia database.""" - db = self.client[self.mycelia_db] - objects = list(db["objects"].find({})) - return objects - - def get_mycelia_api_key_for_user(self, user_id: str) -> Optional[Dict]: - """Check if user already has a Mycelia API key.""" - db = self.client[self.mycelia_db] - api_key = db["api_keys"].find_one({ - "owner": user_id, - "isActive": True - }) - return api_key - - def create_mycelia_api_key(self, user_id: str, user_email: str, dry_run: bool = False) -> Tuple[str, str]: - """Create a Mycelia API key for a Chronicle user.""" - # Generate API key - random_part = secrets.token_urlsafe(32) - api_key = f"mycelia_{random_part}" - salt = secrets.token_bytes(32) - hashed_key = self._hash_api_key_with_salt(api_key, salt) - open_prefix = api_key[:16] - - api_key_doc = { - "hashedKey": hashed_key, - "salt": base64.b64encode(salt).decode('utf-8'), - "owner": user_id, - "name": f"Chronicle Auto ({user_email})", - "policies": [{"resource": "**", "action": "*", "effect": "allow"}], - "openPrefix": open_prefix, - "createdAt": datetime.utcnow(), - "isActive": True, - } - - if dry_run: - print(f" [DRY RUN] Would create API key with owner={user_id}") - return "dry-run-client-id", "dry-run-api-key" - - db = self.client[self.mycelia_db] - result = db["api_keys"].insert_one(api_key_doc) - client_id = str(result.inserted_id) - - # Update Chronicle user document - fl_db = self.client[self.chronicle_db] - fl_db["users"].update_one( - {"_id": ObjectId(user_id)}, - { - "$set": { - "mycelia_oauth": { - "client_id": client_id, - "created_at": datetime.utcnow(), - "synced": True - } - } - } - ) - - return client_id, api_key - - def sync_user(self, user: Dict, dry_run: bool = False) -> bool: - """Sync a single user to Mycelia OAuth.""" - user_id = str(user["_id"]) - user_email = user.get("email", "unknown") - - # Check if already synced - existing = self.get_mycelia_api_key_for_user(user_id) - if existing: - print(f"โœ“ {user_email:40} Already synced (Client ID: {existing['_id']})") - return False - - # Create new API key - try: - client_id, api_key = self.create_mycelia_api_key(user_id, user_email, dry_run) - - if dry_run: - print(f"โ†’ {user_email:40} [DRY RUN] Would create OAuth credentials") - else: - print(f"โœ“ {user_email:40} Created OAuth credentials") - print(f" Client ID: {client_id}") - print(f" Client Secret: {api_key}") - - return True - except Exception as e: - print(f"โœ— {user_email:40} Failed: {e}") - return False - - def sync_all_users(self, dry_run: bool = False): - """Sync all Chronicle users to Mycelia OAuth.""" - users = self.get_all_chronicle_users() - - print(f"{'='*80}") - print(f"SYNC ALL USERS") - print(f"{'='*80}") - print(f"Found {len(users)} Chronicle users\n") - - if dry_run: - print("๐Ÿ” DRY RUN MODE - No changes will be made\n") - - synced_count = 0 - for user in users: - if self.sync_user(user, dry_run): - synced_count += 1 - - print(f"\n{'='*80}") - if dry_run: - print(f"DRY RUN SUMMARY: Would sync {synced_count} users") - else: - print(f"SUMMARY: Synced {synced_count} new users, {len(users) - synced_count} already synced") - print(f"{'='*80}\n") - - def check_orphaned_objects(self): - """Find Mycelia objects with userId not matching any Chronicle user.""" - users = self.get_all_chronicle_users() - user_ids = {str(user["_id"]) for user in users} - - objects = self.get_all_mycelia_objects() - - print(f"{'='*80}") - print(f"ORPHANED OBJECTS CHECK") - print(f"{'='*80}") - print(f"Chronicle users: {len(user_ids)}") - print(f"Mycelia objects: {len(objects)}\n") - - orphaned = [] - user_object_counts = {} - - for obj in objects: - obj_user_id = obj.get("userId") - if obj_user_id: - # Count objects per user - user_object_counts[obj_user_id] = user_object_counts.get(obj_user_id, 0) + 1 - - # Check if orphaned - if obj_user_id not in user_ids: - orphaned.append(obj) - - # Display object distribution - print("Object distribution by userId:") - for user_id, count in sorted(user_object_counts.items(), key=lambda x: x[1], reverse=True): - status = "โœ“" if user_id in user_ids else "โœ— ORPHANED" - print(f" {user_id}: {count:4} objects {status}") - - # Display orphaned objects - if orphaned: - print(f"\nโš ๏ธ Found {len(orphaned)} orphaned objects:") - for obj in orphaned[:10]: # Show first 10 - obj_id = obj.get("_id") - obj_name = obj.get("name", "Unnamed")[:50] - obj_user_id = obj.get("userId") - print(f" {obj_id} - {obj_name} (userId: {obj_user_id})") - - if len(orphaned) > 10: - print(f" ... and {len(orphaned) - 10} more") - else: - print("\nโœ“ No orphaned objects found!") - - print(f"{'='*80}\n") - return orphaned - - def reassign_orphaned_objects(self, target_email: str, dry_run: bool = False): - """Reassign all orphaned objects to a specific Chronicle user.""" - # Get target user - fl_db = self.client[self.chronicle_db] - target_user = fl_db["users"].find_one({"email": target_email}) - - if not target_user: - print(f"โœ— User with email '{target_email}' not found in Chronicle") - return - - target_user_id = str(target_user["_id"]) - print(f"Target user: {target_email} (ID: {target_user_id})\n") - - # Find orphaned objects - users = self.get_all_chronicle_users() - user_ids = {str(user["_id"]) for user in users} - objects = self.get_all_mycelia_objects() - - orphaned = [obj for obj in objects if obj.get("userId") and obj.get("userId") not in user_ids] - - if not orphaned: - print("โœ“ No orphaned objects to reassign") - return - - print(f"{'='*80}") - print(f"REASSIGN ORPHANED OBJECTS") - print(f"{'='*80}") - print(f"Found {len(orphaned)} orphaned objects") - - if dry_run: - print("๐Ÿ” DRY RUN MODE - No changes will be made\n") - else: - print(f"Will reassign to: {target_email}\n") - - mycelia_db = self.client[self.mycelia_db] - - for obj in orphaned: - obj_id = obj["_id"] - old_user_id = obj.get("userId") - obj_name = obj.get("name", "Unnamed")[:50] - - if dry_run: - print(f"โ†’ [DRY RUN] Would reassign: {obj_name}") - print(f" From: {old_user_id} โ†’ To: {target_user_id}") - else: - result = mycelia_db["objects"].update_one( - {"_id": obj_id}, - {"$set": {"userId": target_user_id}} - ) - if result.modified_count > 0: - print(f"โœ“ Reassigned: {obj_name}") - else: - print(f"โœ— Failed to reassign: {obj_name}") - - print(f"\n{'='*80}") - if dry_run: - print(f"DRY RUN SUMMARY: Would reassign {len(orphaned)} objects to {target_email}") - else: - print(f"SUMMARY: Reassigned {len(orphaned)} objects to {target_email}") - print(f"{'='*80}\n") - - def display_sync_status(self): - """Display current sync status.""" - users = self.get_all_chronicle_users() - - print(f"{'='*80}") - print(f"SYNC STATUS") - print(f"{'='*80}\n") - - synced_count = 0 - unsynced_count = 0 - - print(f"{'Email':<40} {'User ID':<30} {'Status'}") - print(f"{'-'*40} {'-'*30} {'-'*20}") - - for user in users: - user_id = str(user["_id"]) - user_email = user.get("email", "unknown") - - existing = self.get_mycelia_api_key_for_user(user_id) - if existing: - status = f"โœ“ Synced (Client ID: {existing['_id']})" - synced_count += 1 - else: - status = "โœ— Not synced" - unsynced_count += 1 - - print(f"{user_email:<40} {user_id:<30} {status}") - - print(f"\n{'='*80}") - print(f"Total users: {len(users)}") - print(f"Synced: {synced_count}") - print(f"Not synced: {unsynced_count}") - print(f"{'='*80}\n") - - -def main(): - parser = argparse.ArgumentParser( - description="Sync Chronicle users with Mycelia OAuth credentials", - formatter_class=argparse.RawDescriptionHelpFormatter, - epilog=__doc__ - ) - - parser.add_argument("--dry-run", action="store_true", help="Preview changes without making them") - parser.add_argument("--sync-all", action="store_true", help="Sync all Chronicle users") - parser.add_argument("--email", type=str, help="Sync specific user by email") - parser.add_argument("--check-orphans", action="store_true", help="Check for orphaned Mycelia objects") - parser.add_argument("--reassign-orphans", action="store_true", help="Reassign orphaned objects to target user") - parser.add_argument("--target-email", type=str, help="Target user email for reassigning orphans") - parser.add_argument("--status", action="store_true", help="Display current sync status") - - args = parser.parse_args() - - # Get configuration from environment - mongo_url = os.getenv("MONGODB_URI") or os.getenv("MONGO_URL", "mongodb://localhost:27017") - - # Extract database name from MONGODB_URI if present - if "/" in mongo_url and mongo_url.count("/") >= 3: - chronicle_db = mongo_url.split("/")[-1].split("?")[0] or "chronicle" - else: - chronicle_db = "chronicle" - - mycelia_db = os.getenv("MYCELIA_DB", os.getenv("DATABASE_NAME", "mycelia")) - - # Create sync service - sync = ChronicleMyceliaSync(mongo_url, mycelia_db, chronicle_db) - - # Execute requested action - if args.status: - sync.display_sync_status() - elif args.sync_all: - sync.sync_all_users(dry_run=args.dry_run) - elif args.email: - fl_db = sync.client[chronicle_db] - user = fl_db["users"].find_one({"email": args.email}) - if user: - sync.sync_user(user, dry_run=args.dry_run) - else: - print(f"โœ— User with email '{args.email}' not found") - elif args.check_orphans: - sync.check_orphaned_objects() - elif args.reassign_orphans: - if not args.target_email: - print("โœ— --target-email required for --reassign-orphans") - sys.exit(1) - sync.reassign_orphaned_objects(args.target_email, dry_run=args.dry_run) - else: - parser.print_help() - - -if __name__ == "__main__": - main() diff --git a/backends/advanced/src/advanced_omi_backend/app_factory.py b/backends/advanced/src/advanced_omi_backend/app_factory.py index 6a99c841..13dddbea 100644 --- a/backends/advanced/src/advanced_omi_backend/app_factory.py +++ b/backends/advanced/src/advanced_omi_backend/app_factory.py @@ -130,14 +130,6 @@ async def lifespan(app: FastAPI): application_logger.error(f"Failed to create admin user: {e}") # Don't raise here as this is not critical for startup - # Sync admin user with Mycelia OAuth (if using Mycelia memory provider) - try: - from advanced_omi_backend.services.mycelia_sync import sync_admin_on_startup - await sync_admin_on_startup() - except Exception as e: - application_logger.error(f"Failed to sync admin with Mycelia OAuth: {e}") - # Don't raise here as this is not critical for startup - # Initialize Redis connection for RQ try: from advanced_omi_backend.controllers.queue_controller import redis_conn @@ -225,12 +217,18 @@ async def lifespan(app: FastAPI): try: from advanced_omi_backend.cron_scheduler import get_scheduler, register_cron_job from advanced_omi_backend.workers.finetuning_jobs import ( + run_asr_finetuning_job, run_asr_jargon_extraction_job, run_speaker_finetuning_job, ) + from advanced_omi_backend.workers.prompt_optimization_jobs import ( + run_prompt_optimization_job, + ) register_cron_job("speaker_finetuning", run_speaker_finetuning_job) + register_cron_job("asr_finetuning", run_asr_finetuning_job) register_cron_job("asr_jargon_extraction", run_asr_jargon_extraction_job) + register_cron_job("prompt_optimization", run_prompt_optimization_job) scheduler = get_scheduler() await scheduler.start() @@ -256,11 +254,17 @@ async def lifespan(app: FastAPI): if plugin.enabled: try: await plugin.initialize() + plugin_router.mark_plugin_initialized(plugin_id) application_logger.info(f"โœ… Plugin '{plugin_id}' initialized") except Exception as e: + plugin_router.mark_plugin_failed(plugin_id, str(e)) application_logger.error(f"Failed to initialize plugin '{plugin_id}': {e}", exc_info=True) - application_logger.info(f"Plugins initialized: {len(plugin_router.plugins)} active") + health = plugin_router.get_health_summary() + application_logger.info( + f"Plugins initialized: {health['initialized']}/{health['total']} active" + + (f", {health['failed']} failed" if health['failed'] else "") + ) # Store in app state for API access app.state.plugin_router = plugin_router diff --git a/backends/advanced/src/advanced_omi_backend/auth.py b/backends/advanced/src/advanced_omi_backend/auth.py index 2e14b8b0..c0d0a7b5 100644 --- a/backends/advanced/src/advanced_omi_backend/auth.py +++ b/backends/advanced/src/advanced_omi_backend/auth.py @@ -117,7 +117,7 @@ def generate_jwt_for_user(user_id: str, user_email: str) -> str: """Generate a JWT token for a user to authenticate with external services. This function creates a JWT token that can be used to authenticate with - services that share the same AUTH_SECRET_KEY, such as Mycelia. + services that share the same AUTH_SECRET_KEY. Args: user_id: User's unique identifier (MongoDB ObjectId as string) @@ -125,10 +125,6 @@ def generate_jwt_for_user(user_id: str, user_email: str) -> str: Returns: JWT token string valid for JWT_LIFETIME_SECONDS (default: 24 hours) - - Example: - >>> token = generate_jwt_for_user("507f1f77bcf86cd799439011", "user@example.com") - >>> # Use token to call Mycelia API """ # Create JWT payload matching Chronicle's standard format payload = { diff --git a/backends/advanced/src/advanced_omi_backend/chat_service.py b/backends/advanced/src/advanced_omi_backend/chat_service.py index 7cefaa0f..46b734a9 100644 --- a/backends/advanced/src/advanced_omi_backend/chat_service.py +++ b/backends/advanced/src/advanced_omi_backend/chat_service.py @@ -440,10 +440,18 @@ async def generate_response_stream( # Generate streaming response logger.info(f"Generating response for session {session_id} with {len(memory_ids)} memories") + # Resolve chat operation temperature from config + chat_temp = None + registry = get_models_registry() + if registry: + chat_op = registry.get_llm_operation("chat") + chat_temp = chat_op.temperature + # Note: For now, we'll use the regular generate method # In the future, this should be replaced with actual streaming response_content = self.llm_client.generate( - prompt=full_prompt + prompt=full_prompt, + temperature=chat_temp, ) # Simulate streaming by yielding chunks diff --git a/backends/advanced/src/advanced_omi_backend/clients/audio_stream_client.py b/backends/advanced/src/advanced_omi_backend/clients/audio_stream_client.py index 5686f1ef..0595f3a4 100644 --- a/backends/advanced/src/advanced_omi_backend/clients/audio_stream_client.py +++ b/backends/advanced/src/advanced_omi_backend/clients/audio_stream_client.py @@ -127,7 +127,6 @@ async def send_audio_start( sample_rate: int = OMI_SAMPLE_RATE, sample_width: int = OMI_SAMPLE_WIDTH, channels: int = OMI_CHANNELS, - always_persist: bool = False, ) -> None: """Send Wyoming audio-start event. @@ -136,11 +135,11 @@ async def send_audio_start( sample_rate: Audio sample rate in Hz (default: 16000) sample_width: Bytes per sample (default: 2 for 16-bit) channels: Number of audio channels (default: 1) - always_persist: Save audio even if transcription fails (default: False) Note: The mode is inside the "data" dict, matching _handle_audio_session_start in websocket_controller.py (line 618). + always_persist is a backend-level setting (not per-session). """ if not self.ws: raise RuntimeError("Not connected. Call connect() first.") @@ -152,15 +151,14 @@ async def send_audio_start( "width": sample_width, "channels": channels, "mode": recording_mode, - "always_persist": always_persist, }, "payload_length": None, } print(f"๐Ÿ”ต CLIENT: Sending audio-start message: {header}") logger.info(f"๐Ÿ”ต CLIENT: Sending audio-start message: {header}") await self.ws.send(json.dumps(header) + "\n") - print(f"โœ… CLIENT: Sent audio-start with mode={recording_mode}, always_persist={always_persist}") - logger.info(f"โœ… CLIENT: Sent audio-start with mode={recording_mode}, always_persist={always_persist}") + print(f"โœ… CLIENT: Sent audio-start with mode={recording_mode}") + logger.info(f"โœ… CLIENT: Sent audio-start with mode={recording_mode}") async def send_audio_chunk_wyoming( self, @@ -242,7 +240,6 @@ async def stream_wav_file( use_wyoming: bool = True, recording_mode: str = "streaming", realtime_factor: float = 0.1, - always_persist: bool = False, ) -> int: """Stream a WAV file in chunks, simulating real-time audio. @@ -252,7 +249,6 @@ async def stream_wav_file( use_wyoming: If True, use Wyoming protocol; if False, send raw binary recording_mode: "streaming" or "batch" realtime_factor: Fraction of real-time to simulate (0.1 = 10x speed) - always_persist: Save audio even if transcription fails (default: False) Returns: Number of chunks sent @@ -280,7 +276,6 @@ async def stream_wav_file( sample_rate=sample_rate, sample_width=sample_width, channels=channels, - always_persist=always_persist, ) # Reset counters @@ -348,7 +343,6 @@ def stream_audio_file( device_name: str = "robot-test", recording_mode: str = "streaming", use_wyoming: bool = True, - always_persist: bool = False, ) -> int: """Synchronous wrapper for streaming audio file. @@ -362,7 +356,6 @@ def stream_audio_file( device_name: Device name for client identification recording_mode: "streaming" or "batch" use_wyoming: If True, use Wyoming protocol - always_persist: Save audio even if transcription fails (default: False) Returns: Number of chunks sent @@ -374,7 +367,6 @@ async def _run() -> int: wav_path, use_wyoming=use_wyoming, recording_mode=recording_mode, - always_persist=always_persist, ) return asyncio.run(_run()) @@ -423,7 +415,6 @@ def start_stream( token: str, device_name: str = "robot-test", recording_mode: str = "streaming", - always_persist: bool = False, ) -> str: """Start a new audio stream (non-blocking). @@ -432,7 +423,6 @@ def start_stream( token: JWT token device_name: Device name for client ID recording_mode: "streaming" or "batch" - always_persist: Save audio even if transcription fails (default: False) Returns: stream_id: Unique ID for this stream session @@ -462,7 +452,7 @@ async def _connect_and_start(): await client.connect() session.connected = True logger.info(f"โœ… CLIENT: Stream {stream_id} connected, sending audio-start...") - await client.send_audio_start(recording_mode=recording_mode, always_persist=always_persist) + await client.send_audio_start(recording_mode=recording_mode) session.audio_started = True logger.info(f"โœ… CLIENT: Stream {stream_id} started for {device_name}") except Exception as e: diff --git a/backends/advanced/src/advanced_omi_backend/config.py b/backends/advanced/src/advanced_omi_backend/config.py index 63b1dcd7..a1080dfd 100644 --- a/backends/advanced/src/advanced_omi_backend/config.py +++ b/backends/advanced/src/advanced_omi_backend/config.py @@ -179,6 +179,22 @@ def get_audio_storage_settings() -> dict: return OmegaConf.to_container(cfg, resolve=True) +# ============================================================================ +# Transcription Job Timeout (OmegaConf-based) +# ============================================================================ + +def get_transcription_job_timeout() -> int: + """ + Get transcription job timeout in seconds from config. + + Returns: + Job timeout in seconds (default 900 = 15 minutes) + """ + cfg = get_backend_config('transcription') + settings = OmegaConf.to_container(cfg, resolve=True) if cfg else {} + return int(settings.get('job_timeout_seconds', 900)) + + # ============================================================================ # Miscellaneous Settings (OmegaConf-based) # ============================================================================ @@ -206,6 +222,7 @@ def get_misc_settings() -> dict: 'always_persist_enabled': audio_settings.get('always_persist_enabled', False), 'use_provider_segments': transcription_settings.get('use_provider_segments', False), 'per_segment_speaker_id': speaker_settings.get('per_segment_speaker_id', False), + 'transcription_job_timeout_seconds': int(transcription_settings.get('job_timeout_seconds', 900)), } @@ -239,4 +256,10 @@ def save_misc_settings(settings: dict) -> bool: if not save_config_section('backend.speaker_recognition', speaker_settings): success = False + # Save transcription job timeout if provided + if 'transcription_job_timeout_seconds' in settings: + timeout_settings = {'job_timeout_seconds': settings['transcription_job_timeout_seconds']} + if not save_config_section('backend.transcription', timeout_settings): + success = False + return success \ No newline at end of file diff --git a/backends/advanced/src/advanced_omi_backend/controllers/audio_controller.py b/backends/advanced/src/advanced_omi_backend/controllers/audio_controller.py index b1646a8e..ba434229 100644 --- a/backends/advanced/src/advanced_omi_backend/controllers/audio_controller.py +++ b/backends/advanced/src/advanced_omi_backend/controllers/audio_controller.py @@ -12,9 +12,7 @@ import time import uuid -from fastapi import UploadFile -from fastapi.responses import JSONResponse - +from advanced_omi_backend.config import get_transcription_job_timeout from advanced_omi_backend.controllers.queue_controller import ( JOB_RESULT_TTL, start_post_conversation_jobs, @@ -34,6 +32,8 @@ from advanced_omi_backend.workers.transcription_jobs import ( transcribe_full_audio_job, ) +from fastapi import UploadFile +from fastapi.responses import JSONResponse logger = logging.getLogger(__name__) audio_logger = logging.getLogger("audio_processing") @@ -204,7 +204,7 @@ async def upload_and_process_audio_files( conversation_id, version_id, "batch", # trigger - job_timeout=900, # 15 minutes + job_timeout=get_transcription_job_timeout(), result_ttl=JOB_RESULT_TTL, job_id=transcribe_job_id, description=f"Transcribe uploaded file {conversation_id[:8]}", diff --git a/backends/advanced/src/advanced_omi_backend/controllers/conversation_controller.py b/backends/advanced/src/advanced_omi_backend/controllers/conversation_controller.py index 13f2620d..14cbcc47 100644 --- a/backends/advanced/src/advanced_omi_backend/controllers/conversation_controller.py +++ b/backends/advanced/src/advanced_omi_backend/controllers/conversation_controller.py @@ -32,11 +32,13 @@ from advanced_omi_backend.plugins.events import ConversationCloseReason from advanced_omi_backend.users import User from advanced_omi_backend.workers.conversation_jobs import generate_title_summary_job +from advanced_omi_backend.services.memory import get_memory_service from advanced_omi_backend.workers.memory_jobs import ( enqueue_memory_processing, process_memory_job, ) from advanced_omi_backend.workers.speaker_jobs import recognise_speakers_job +from advanced_omi_backend.config import get_transcription_job_timeout logger = logging.getLogger(__name__) audio_logger = logging.getLogger("audio_processing") @@ -157,6 +159,66 @@ async def get_conversation(conversation_id: str, user: User): return JSONResponse(status_code=500, content={"error": "Error fetching conversation"}) +async def get_conversation_memories(conversation_id: str, user: User, limit: int = 100): + """Get memories extracted from a specific conversation.""" + try: + conversation = await Conversation.find_one( + Conversation.conversation_id == conversation_id + ) + if not conversation: + return JSONResponse(status_code=404, content={"error": "Conversation not found"}) + + if not user.is_superuser and conversation.user_id != str(user.user_id): + return JSONResponse(status_code=403, content={"error": "Access forbidden"}) + + memory_service = get_memory_service() + memories = await memory_service.get_memories_by_source( + user_id=str(user.user_id), source_id=conversation_id, limit=limit + ) + + return { + "conversation_id": conversation_id, + "memories": [mem.to_dict() for mem in memories], + "count": len(memories), + } + + except Exception as e: + logger.error(f"Error fetching memories for conversation {conversation_id}: {e}") + return JSONResponse( + status_code=500, content={"error": "Error fetching conversation memories"} + ) + + +def _conversation_to_list_dict(conv: Conversation) -> dict: + """Convert a Conversation model to a dict for list-view responses.""" + return { + "conversation_id": conv.conversation_id, + "user_id": conv.user_id, + "client_id": conv.client_id, + "audio_chunks_count": conv.audio_chunks_count, + "audio_total_duration": conv.audio_total_duration, + "audio_compression_ratio": conv.audio_compression_ratio, + "created_at": conv.created_at.isoformat() if conv.created_at else None, + "deleted": conv.deleted, + "deletion_reason": conv.deletion_reason, + "deleted_at": conv.deleted_at.isoformat() if conv.deleted_at else None, + "processing_status": conv.processing_status, + "always_persist": conv.always_persist, + "title": conv.title, + "summary": conv.summary, + "detailed_summary": conv.detailed_summary, + "active_transcript_version": conv.active_transcript_version, + "active_memory_version": conv.active_memory_version, + "segment_count": conv.segment_count, + "has_memory": conv.has_memory, + "memory_count": conv.memory_count, + "transcript_version_count": conv.transcript_version_count, + "memory_version_count": conv.memory_version_count, + "active_transcript_version_number": conv.active_transcript_version_number, + "active_memory_version_number": conv.active_memory_version_number, + } + + async def get_conversations( user: User, include_deleted: bool = False, @@ -240,36 +302,9 @@ async def get_conversations( # Build response with explicit curated fields - minimal for list view conversations = [] for conv in user_conversations: - conversations.append( - { - "conversation_id": conv.conversation_id, - "user_id": conv.user_id, - "client_id": conv.client_id, - "audio_chunks_count": conv.audio_chunks_count, - "audio_total_duration": conv.audio_total_duration, - "audio_compression_ratio": conv.audio_compression_ratio, - "created_at": conv.created_at.isoformat() if conv.created_at else None, - "deleted": conv.deleted, - "deletion_reason": conv.deletion_reason, - "deleted_at": conv.deleted_at.isoformat() if conv.deleted_at else None, - "processing_status": conv.processing_status, - "always_persist": conv.always_persist, - "title": conv.title, - "summary": conv.summary, - "detailed_summary": conv.detailed_summary, - "active_transcript_version": conv.active_transcript_version, - "active_memory_version": conv.active_memory_version, - # Computed fields (counts only, no heavy data) - "segment_count": conv.segment_count, - "has_memory": conv.has_memory, - "memory_count": conv.memory_count, - "transcript_version_count": conv.transcript_version_count, - "memory_version_count": conv.memory_version_count, - "active_transcript_version_number": conv.active_transcript_version_number, - "active_memory_version_number": conv.active_memory_version_number, - "is_orphan": conv.conversation_id in orphan_ids, - } - ) + d = _conversation_to_list_dict(conv) + d["is_orphan"] = conv.conversation_id in orphan_ids + conversations.append(d) return { "conversations": conversations, @@ -283,6 +318,61 @@ async def get_conversations( return JSONResponse(status_code=500, content={"error": "Error fetching conversations"}) +async def search_conversations( + query: str, + user: User, + limit: int = 50, + offset: int = 0, +): + """Full-text search across conversation titles, summaries, and transcripts.""" + try: + collection = Conversation.get_motor_collection() + + match_filter: dict = {"$text": {"$search": query}, "deleted": False} + if not user.is_superuser: + match_filter["user_id"] = str(user.user_id) + + pipeline = [ + {"$match": match_filter}, + {"$addFields": {"score": {"$meta": "textScore"}}}, + {"$sort": {"score": -1}}, + { + "$facet": { + "results": [{"$skip": offset}, {"$limit": limit}], + "count": [{"$count": "total"}], + } + }, + ] + + cursor = collection.aggregate(pipeline) + facet_result = await cursor.to_list(length=1) + facet = facet_result[0] if facet_result else {"results": [], "count": []} + + raw_docs = facet.get("results", []) + count_list = facet.get("count", []) + total = count_list[0]["total"] if count_list else 0 + + conversations = [] + for doc in raw_docs: + score = doc.pop("score", 0) + conv = Conversation.model_validate(doc) + d = _conversation_to_list_dict(conv) + d["score"] = round(score, 4) + conversations.append(d) + + return { + "conversations": conversations, + "total": total, + "limit": limit, + "offset": offset, + "query": query, + } + + except Exception as e: + logger.exception(f"Error searching conversations: {e}") + return JSONResponse(status_code=500, content={"error": "Error searching conversations"}) + + async def _soft_delete_conversation(conversation: Conversation, user: User) -> JSONResponse: """Mark conversation and chunks as deleted (soft delete). @@ -552,7 +642,7 @@ async def reprocess_orphan(conversation_id: str, user: User): conversation_id, version_id, "reprocess_orphan", - job_timeout=900, + job_timeout=get_transcription_job_timeout(), result_ttl=JOB_RESULT_TTL, job_id=f"orphan_transcribe_{conversation_id[:8]}", description=f"Transcribe orphan audio for {conversation_id[:8]}", @@ -674,7 +764,7 @@ async def reprocess_transcript(conversation_id: str, user: User): conversation_id, version_id, "reprocess", - job_timeout=900, # 15 minutes + job_timeout=get_transcription_job_timeout(), result_ttl=JOB_RESULT_TTL, job_id=f"reprocess_{conversation_id[:8]}", description=f"Transcribe audio for {conversation_id[:8]}", diff --git a/backends/advanced/src/advanced_omi_backend/controllers/memory_controller.py b/backends/advanced/src/advanced_omi_backend/controllers/memory_controller.py index 5abf4b36..fe4fca88 100644 --- a/backends/advanced/src/advanced_omi_backend/controllers/memory_controller.py +++ b/backends/advanced/src/advanced_omi_backend/controllers/memory_controller.py @@ -8,6 +8,7 @@ from fastapi.responses import JSONResponse +from advanced_omi_backend.models.conversation import Conversation from advanced_omi_backend.services.memory import get_memory_service from advanced_omi_backend.services.memory.base import MemoryEntry from advanced_omi_backend.users import User @@ -123,7 +124,7 @@ async def delete_memory(memory_id: str, user: User): if memory_id not in memory_ids: return JSONResponse(status_code=404, content={"message": "Memory not found"}) - # Delete the memory (pass user_id and user_email for Mycelia authentication) + # Delete the memory audio_logger.info(f"Deleting memory {memory_id} for user_id={user.user_id}, email={user.email}") success = await memory_service.delete_memory(memory_id, user_id=user.user_id, user_email=user.email) @@ -244,6 +245,28 @@ async def get_memory_by_id(memory_id: str, user: User, user_id: Optional[str] = if memory: # Convert MemoryEntry to dict for JSON serialization memory_dict = memory.to_dict() + + # Enrich with source conversation info if source_id exists in metadata + source_id = memory.metadata.get("source_id") + if source_id: + try: + conversation = await Conversation.find_one( + Conversation.conversation_id == source_id + ) + if conversation: + memory_dict["source_conversation"] = { + "conversation_id": conversation.conversation_id, + "title": conversation.title, + "summary": conversation.summary, + "created_at": ( + conversation.created_at.isoformat() + if conversation.created_at + else None + ), + } + except Exception as e: + logger.warning(f"Failed to fetch source conversation {source_id}: {e}") + return {"memory": memory_dict} else: return JSONResponse(status_code=404, content={"message": "Memory not found"}) diff --git a/backends/advanced/src/advanced_omi_backend/controllers/queue_controller.py b/backends/advanced/src/advanced_omi_backend/controllers/queue_controller.py index 76075d62..f53f8fcc 100644 --- a/backends/advanced/src/advanced_omi_backend/controllers/queue_controller.py +++ b/backends/advanced/src/advanced_omi_backend/controllers/queue_controller.py @@ -344,13 +344,18 @@ def start_streaming_jobs( Note: - user_email is fetched from the database when needed. - - always_persist setting is read from global config by the audio persistence job. + - always_persist setting is read from global config at enqueue time and passed to worker. """ + from advanced_omi_backend.config import get_misc_settings from advanced_omi_backend.workers.audio_jobs import audio_streaming_persistence_job from advanced_omi_backend.workers.transcription_jobs import ( stream_speech_detection_job, ) + # Read always_persist from global config NOW (backend process has fresh config) + misc_settings = get_misc_settings() + always_persist = misc_settings.get('always_persist_enabled', False) + # Enqueue speech detection job speech_job = transcription_queue.enqueue( stream_speech_detection_job, @@ -385,12 +390,12 @@ def start_streaming_jobs( # Enqueue audio persistence job on dedicated audio queue # NOTE: This job handles file rotation for multiple conversations automatically # Runs for entire session, not tied to individual conversations - # The job reads always_persist_enabled from global config internally audio_job = audio_queue.enqueue( audio_streaming_persistence_job, session_id, user_id, client_id, + always_persist, job_timeout=86400, # 24 hours for all-day sessions ttl=None, # No pre-run expiry (job can wait indefinitely in queue) result_ttl=JOB_RESULT_TTL, # Cleanup AFTER completion diff --git a/backends/advanced/src/advanced_omi_backend/controllers/system_controller.py b/backends/advanced/src/advanced_omi_backend/controllers/system_controller.py index c4794a40..33a26267 100644 --- a/backends/advanced/src/advanced_omi_backend/controllers/system_controller.py +++ b/backends/advanced/src/advanced_omi_backend/controllers/system_controller.py @@ -2,15 +2,22 @@ System controller for handling system-related business logic. """ +import asyncio +import inspect import logging import os +import re +import signal import shutil import time import warnings from datetime import UTC, datetime from pathlib import Path +from typing import Optional -import yaml +from io import StringIO + +from ruamel.yaml import YAML from fastapi import HTTPException from advanced_omi_backend.config import ( @@ -22,12 +29,16 @@ save_misc_settings, ) from advanced_omi_backend.config_loader import get_plugins_yml_path -from advanced_omi_backend.model_registry import _find_config_path, load_models_config +from advanced_omi_backend.config_loader import save_config_section +from advanced_omi_backend.model_registry import _find_config_path, get_models_registry, load_models_config from advanced_omi_backend.models.user import User logger = logging.getLogger(__name__) audio_logger = logging.getLogger("audio_processing") +_yaml = YAML() +_yaml.preserve_quotes = True + async def get_config_diagnostics(): """ @@ -353,7 +364,9 @@ async def save_misc_settings_controller(settings: dict): """Save miscellaneous settings.""" try: # Validate settings - valid_keys = {"always_persist_enabled", "use_provider_segments", "per_segment_speaker_id"} + boolean_keys = {"always_persist_enabled", "use_provider_segments", "per_segment_speaker_id"} + integer_keys = {"transcription_job_timeout_seconds"} + valid_keys = boolean_keys | integer_keys # Filter to only valid keys filtered_settings = {} @@ -362,8 +375,12 @@ async def save_misc_settings_controller(settings: dict): continue # Skip unknown keys # Type validation - if not isinstance(value, bool): - raise HTTPException(status_code=400, detail=f"Invalid value for {key}: must be boolean") + if key in boolean_keys: + if not isinstance(value, bool): + raise HTTPException(status_code=400, detail=f"Invalid value for {key}: must be boolean") + elif key == "transcription_job_timeout_seconds": + if not isinstance(value, int) or value < 60 or value > 7200: + raise HTTPException(status_code=400, detail=f"Invalid value for {key}: must be integer between 60 and 7200") filtered_settings[key] = value @@ -597,9 +614,11 @@ async def get_memory_config_raw(): raise FileNotFoundError(f"Config file not found: {cfg_path}") with open(cfg_path, 'r') as f: - data = yaml.safe_load(f) or {} + data = _yaml.load(f) or {} memory_section = data.get("memory", {}) - config_yaml = yaml.safe_dump(memory_section, sort_keys=False) + stream = StringIO() + _yaml.dump(dict(memory_section) if memory_section else {}, stream) + config_yaml = stream.getvalue() return { "config_yaml": config_yaml, @@ -617,8 +636,8 @@ async def update_memory_config_raw(config_yaml: str): try: # Validate YAML try: - new_mem = yaml.safe_load(config_yaml) or {} - except yaml.YAMLError as e: + new_mem = _yaml.load(config_yaml) or {} + except Exception as e: raise ValueError(f"Invalid YAML syntax: {str(e)}") cfg_path = _find_config_path() @@ -631,10 +650,10 @@ async def update_memory_config_raw(config_yaml: str): # Update memory section and write file with open(cfg_path, 'r') as f: - data = yaml.safe_load(f) or {} + data = _yaml.load(f) or {} data["memory"] = new_mem with open(cfg_path, 'w') as f: - yaml.safe_dump(data, f, sort_keys=False) + _yaml.dump(data, f) # Reload registry load_models_config(force_reload=True) @@ -654,8 +673,8 @@ async def validate_memory_config(config_yaml: str): """Validate memory configuration YAML syntax (memory section).""" try: try: - parsed = yaml.safe_load(config_yaml) - except yaml.YAMLError as e: + parsed = _yaml.load(config_yaml) + except Exception as e: raise HTTPException(status_code=400, detail=f"Invalid YAML syntax: {str(e)}") if not isinstance(parsed, dict): raise HTTPException(status_code=400, detail="Configuration must be a YAML object") @@ -716,7 +735,7 @@ async def get_memory_provider(): current_provider = "chronicle" # Get available providers - available_providers = ["chronicle", "openmemory_mcp", "mycelia"] + available_providers = ["chronicle", "openmemory_mcp"] return { "current_provider": current_provider, @@ -734,7 +753,7 @@ async def set_memory_provider(provider: str): try: # Validate provider provider = provider.lower().strip() - valid_providers = ["chronicle", "openmemory_mcp", "mycelia"] + valid_providers = ["chronicle", "openmemory_mcp"] if provider not in valid_providers: raise ValueError(f"Invalid provider '{provider}'. Valid providers: {', '.join(valid_providers)}") @@ -792,6 +811,149 @@ async def set_memory_provider(provider: str): raise e +# LLM Operations Configuration Functions + +async def get_llm_operations(): + """Get LLM operation configurations and available models.""" + try: + registry = get_models_registry() + if not registry: + raise RuntimeError("Model registry not loaded") + + # Serialize each LLMOperationConfig to dict + operations = {} + for op_name, op_config in registry.llm_operations.items(): + operations[op_name] = { + "model": op_config.model, + "temperature": op_config.temperature, + "max_tokens": op_config.max_tokens, + "response_format": op_config.response_format, + } + + # Collect available LLM models + available_models = [ + {"name": m.name, "description": m.description, "provider": m.model_provider} + for m in registry.get_all_by_type("llm") + ] + + default_llm = registry.defaults.get("llm") + + return { + "operations": operations, + "available_models": available_models, + "default_llm": default_llm, + "status": "success", + } + except Exception as e: + logger.exception("Error getting LLM operations") + raise e + + +async def save_llm_operations(operations: dict): + """Save LLM operation configurations to config.yml and hot-reload.""" + try: + registry = get_models_registry() + if not registry: + raise RuntimeError("Model registry not loaded") + + valid_keys = {"model", "temperature", "max_tokens", "response_format"} + + for op_name, op_value in operations.items(): + if not isinstance(op_value, dict): + raise HTTPException(status_code=400, detail=f"Operation '{op_name}' must be a dict") + + extra_keys = set(op_value.keys()) - valid_keys + if extra_keys: + raise HTTPException(status_code=400, detail=f"Invalid keys for '{op_name}': {extra_keys}") + + if "temperature" in op_value and op_value["temperature"] is not None: + t = op_value["temperature"] + if not isinstance(t, (int, float)) or t < 0 or t > 2: + raise HTTPException(status_code=400, detail=f"Invalid temperature for '{op_name}': must be 0-2") + + if "max_tokens" in op_value and op_value["max_tokens"] is not None: + mt = op_value["max_tokens"] + if not isinstance(mt, int) or mt <= 0: + raise HTTPException(status_code=400, detail=f"Invalid max_tokens for '{op_name}': must be positive int") + + if "model" in op_value and op_value["model"] is not None: + if not registry.get_by_name(op_value["model"]): + raise HTTPException(status_code=400, detail=f"Model '{op_value['model']}' not found in registry") + + if "response_format" in op_value and op_value["response_format"] is not None: + if op_value["response_format"] != "json": + raise HTTPException(status_code=400, detail=f"response_format must be 'json' or null") + + if save_config_section("llm_operations", operations): + load_models_config(force_reload=True) + logger.info(f"Updated LLM operations config: {list(operations.keys())}") + return { + "message": "LLM operations saved successfully", + "status": "success", + } + else: + return { + "message": "Failed to save LLM operations", + "status": "error", + } + + except HTTPException: + raise + except Exception as e: + logger.exception("Error saving LLM operations") + raise e + + +async def test_llm_model(model_name: Optional[str]): + """Test an LLM model connection with a trivial prompt.""" + try: + from advanced_omi_backend.openai_factory import create_openai_client + + registry = get_models_registry() + if not registry: + raise RuntimeError("Model registry not loaded") + + if model_name: + model_def = registry.get_by_name(model_name) + if not model_def: + return {"success": False, "model_name": model_name, "error": f"Model '{model_name}' not found", "status": "error"} + else: + model_def = registry.get_default("llm") + if not model_def: + return {"success": False, "model_name": None, "error": "No default LLM configured", "status": "error"} + + client = create_openai_client( + api_key=model_def.api_key or "", + base_url=model_def.model_url, + is_async=True, + ) + + start = time.time() + response = await client.chat.completions.create( + model=model_def.model_name, + messages=[{"role": "user", "content": "Say hello in one word."}], + temperature=0, + max_tokens=10, + ) + latency_ms = int((time.time() - start) * 1000) + + return { + "success": True, + "model_name": model_def.name, + "model_provider": model_def.model_provider, + "response": response.choices[0].message.content.strip(), + "latency_ms": latency_ms, + "status": "success", + } + except Exception as e: + return { + "success": False, + "model_name": model_name or "(default)", + "error": str(e), + "status": "error", + } + + # Chat Configuration Management Functions async def get_chat_config_yaml() -> str: @@ -809,7 +971,7 @@ async def get_chat_config_yaml() -> str: return default_prompt with open(config_path, 'r') as f: - full_config = yaml.safe_load(f) or {} + full_config = _yaml.load(f) or {} chat_config = full_config.get('chat', {}) system_prompt = chat_config.get('system_prompt', default_prompt) @@ -843,7 +1005,7 @@ async def save_chat_config_yaml(prompt_text: str) -> dict: # Load full config if os.path.exists(config_path): with open(config_path, 'r') as f: - full_config = yaml.safe_load(f) or {} + full_config = _yaml.load(f) or {} else: full_config = {} @@ -858,7 +1020,7 @@ async def save_chat_config_yaml(prompt_text: str) -> dict: # Save with open(config_path, 'w') as f: - yaml.dump(full_config, f, default_flow_style=False, allow_unicode=True) + _yaml.dump(full_config, f) # Reload config in memory (hot-reload) load_models_config(force_reload=True) @@ -933,7 +1095,7 @@ async def save_plugins_config_yaml(yaml_content: str) -> dict: # Validate YAML can be parsed try: - parsed_config = yaml.safe_load(yaml_content) + parsed_config = _yaml.load(yaml_content) if not isinstance(parsed_config, dict): raise ValueError("Configuration must be a YAML dictionary") @@ -941,7 +1103,9 @@ async def save_plugins_config_yaml(yaml_content: str) -> dict: if 'plugins' not in parsed_config: raise ValueError("Configuration must contain 'plugins' key") - except yaml.YAMLError as e: + except ValueError: + raise + except Exception as e: raise ValueError(f"Invalid YAML syntax: {e}") # Create config directory if it doesn't exist @@ -957,20 +1121,24 @@ async def save_plugins_config_yaml(yaml_content: str) -> dict: with open(plugins_yml_path, 'w') as f: f.write(yaml_content) - # Hot-reload plugins (optional - may require restart) + # Hot-reload plugins and signal worker restart + reload_result = None try: - from advanced_omi_backend.services.plugin_service import get_plugin_router - plugin_router = get_plugin_router() - if plugin_router: - logger.info("Plugin configuration updated - restart backend for changes to take effect") + reload_result, _ = await _reload_and_signal() + logger.info("Plugins reloaded and worker restart signaled") except Exception as reload_err: - logger.warning(f"Could not reload plugins: {reload_err}") + logger.warning(f"Auto-reload failed, manual restart needed: {reload_err}") logger.info("Plugins configuration updated successfully") + message = "Plugins configuration updated and reloaded successfully." + if reload_result is None: + message = "Plugins configuration updated. Restart backend for changes to take effect." + return { "success": True, - "message": "Plugins configuration updated successfully. Restart backend for changes to take effect." + "message": message, + "reload": reload_result, } except Exception as e: @@ -983,8 +1151,8 @@ async def validate_plugins_config_yaml(yaml_content: str) -> dict: try: # Parse YAML try: - parsed_config = yaml.safe_load(yaml_content) - except yaml.YAMLError as e: + parsed_config = _yaml.load(yaml_content) + except Exception as e: return {"valid": False, "error": f"Invalid YAML syntax: {e}"} # Check structure @@ -1028,6 +1196,90 @@ async def validate_plugins_config_yaml(yaml_content: str) -> dict: return {"valid": False, "error": f"Validation error: {str(e)}"} +async def _reload_and_signal(app=None) -> tuple[dict, bool]: + """Reload plugins and signal worker restart. + + Returns: + (reload_result, worker_signal_sent) tuple. + """ + from advanced_omi_backend.services.plugin_service import ( + reload_plugins, + signal_worker_restart, + ) + + reload_result = await reload_plugins(app=app) + + worker_signal_sent = False + try: + signal_worker_restart() + worker_signal_sent = True + except Exception as e: + logger.error(f"Failed to signal worker restart: {e}") + + return reload_result, worker_signal_sent + + +async def restart_workers() -> dict: + """Signal all RQ workers to gracefully restart via Redis. + + Workers finish their current job before restarting. + Uses the existing plugin-reload worker restart mechanism. + """ + from advanced_omi_backend.services.plugin_service import signal_worker_restart + + try: + signal_worker_restart() + logger.info("Worker restart signaled via Redis") + return { + "message": "Worker restart signal sent. Workers will restart after finishing current jobs.", + "status": "accepted", + } + except Exception as e: + logger.exception("Failed to signal worker restart") + raise e + + +async def restart_backend() -> dict: + """Schedule a SIGTERM to the current process after a short delay. + + The delay allows the HTTP response to be sent before the process dies. + Docker (or the process supervisor) will automatically restart the container. + """ + + async def _delayed_kill(): + await asyncio.sleep(1.5) + logger.info("Sending SIGTERM to self (PID %d) for backend restart", os.getpid()) + os.kill(os.getpid(), signal.SIGTERM) + + asyncio.create_task(_delayed_kill()) + logger.info("Backend restart scheduled in 1.5s") + return { + "message": "Backend restart scheduled. The service will be briefly unavailable.", + "status": "accepted", + } + + +async def reload_plugins_controller(app=None) -> dict: + """Reload all plugins and signal workers to restart. + + Args: + app: Optional FastAPI app instance for updating app.state.plugin_router + + Returns: + Combined result with backend reload details and worker signal status + """ + reload_result, worker_signal_sent = await _reload_and_signal(app=app) + + return { + "success": reload_result.get("success", False), + "message": "Plugins reloaded and worker restart signaled" + if worker_signal_sent + else "Plugins reloaded but worker restart signal failed", + "reload": reload_result, + "worker_signal_sent": worker_signal_sent, + } + + # Structured Plugin Configuration Management Functions (Form-based UI) async def get_plugins_metadata() -> dict: @@ -1057,7 +1309,7 @@ async def get_plugins_metadata() -> dict: if plugins_yml_path.exists(): with open(plugins_yml_path, 'r') as f: - plugins_data = yaml.safe_load(f) or {} + plugins_data = _yaml.load(f) or {} orchestration_configs = plugins_data.get('plugins', {}) # Build metadata for each plugin @@ -1118,7 +1370,7 @@ async def update_plugin_config_structured(plugin_id: str, config: dict) -> dict: # Load current plugins.yml if plugins_yml_path.exists(): with open(plugins_yml_path, 'r') as f: - plugins_data = yaml.safe_load(f) or {} + plugins_data = _yaml.load(f) or {} else: plugins_data = {} @@ -1143,7 +1395,7 @@ async def update_plugin_config_structured(plugin_id: str, config: dict) -> dict: # Write updated plugins.yml with open(plugins_yml_path, 'w') as f: - yaml.dump(plugins_data, f, default_flow_style=False, sort_keys=False) + _yaml.dump(plugins_data, f) updated_files.append(str(plugins_yml_path)) logger.info(f"Updated orchestration config for '{plugin_id}' in {plugins_yml_path}") @@ -1156,7 +1408,7 @@ async def update_plugin_config_structured(plugin_id: str, config: dict) -> dict: # Load current config.yml if plugin_config_path.exists(): with open(plugin_config_path, 'r') as f: - plugin_config_data = yaml.safe_load(f) or {} + plugin_config_data = _yaml.load(f) or {} else: plugin_config_data = {} @@ -1171,66 +1423,46 @@ async def update_plugin_config_structured(plugin_id: str, config: dict) -> dict: # Write updated config.yml with open(plugin_config_path, 'w') as f: - yaml.dump(plugin_config_data, f, default_flow_style=False, sort_keys=False) + _yaml.dump(plugin_config_data, f) updated_files.append(str(plugin_config_path)) logger.info(f"Updated settings for '{plugin_id}' in {plugin_config_path}") - # 3. Update .env (only changed env vars) + # 3. Update per-plugin .env (only changed env vars) if 'env_vars' in config and config['env_vars']: - env_path = os.path.join(os.getcwd(), ".env") + from advanced_omi_backend.services.plugin_service import save_plugin_env - if not os.path.exists(env_path): - raise FileNotFoundError(f".env file not found at {env_path}") + # Filter out masked values (unchanged secrets) + changed_vars = { + k: v for k, v in config['env_vars'].items() + if v != 'โ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ข' + } - # Read current .env - with open(env_path, 'r') as f: - env_lines = f.readlines() + if changed_vars: + env_path = save_plugin_env(plugin_id, changed_vars) + updated_files.append(str(env_path)) + logger.info(f"Saved {len(changed_vars)} env var(s) to per-plugin .env for '{plugin_id}'") - # Create backup - backup_path = f"{env_path}.backup" - shutil.copy2(env_path, backup_path) - - # Update env vars (only if not masked) - env_vars = config['env_vars'] - updated_env_lines = [] - updated_vars = set() - - for line in env_lines: - line_updated = False - for env_var, value in env_vars.items(): - # Skip if value is masked (not actually changed) - if value == 'โ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ข': - continue - - if line.strip().startswith(f"{env_var}="): - updated_env_lines.append(f"{env_var}={value}\n") - updated_vars.add(env_var) - line_updated = True - break - - if not line_updated: - updated_env_lines.append(line) - - # Add new env vars that weren't found in file - for env_var, value in env_vars.items(): - if value != 'โ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ข' and env_var not in updated_vars: - updated_env_lines.append(f"{env_var}={value}\n") - updated_vars.add(env_var) - - # Write updated .env - if updated_vars: - with open(env_path, 'w') as f: - f.writelines(updated_env_lines) - - updated_files.append(env_path) - logger.info(f"Updated {len(updated_vars)} environment variables in {env_path}") + # Update os.environ so hot-reload picks up changes immediately + for k, v in changed_vars.items(): + os.environ[k] = v + + # Hot-reload plugins and signal worker restart + reload_result = None + try: + reload_result, _ = await _reload_and_signal() + except Exception as reload_err: + logger.warning(f"Auto-reload failed, manual restart needed: {reload_err}") + + message = f"Plugin '{plugin_id}' configuration updated and reloaded successfully." + if reload_result is None: + message = f"Plugin '{plugin_id}' configuration updated. Restart backend for changes to take effect." return { "success": True, - "message": f"Plugin '{plugin_id}' configuration updated successfully. Restart backend for changes to take effect.", + "message": message, "updated_files": updated_files, - "requires_restart": True, + "reload": reload_result, "status": "success" } @@ -1256,6 +1488,7 @@ async def test_plugin_connection(plugin_id: str, config: dict) -> dict: from advanced_omi_backend.services.plugin_service import ( discover_plugins, expand_env_vars, + load_plugin_env, ) # Validate plugin exists @@ -1280,13 +1513,15 @@ async def test_plugin_connection(plugin_id: str, config: dict) -> dict: if 'settings' in config: test_config.update(config['settings']) + # Load per-plugin env for resolving masked values + plugin_env = load_plugin_env(plugin_id) + # Add env vars (expand any ${ENV_VAR} references with test values) if 'env_vars' in config: for key, value in config['env_vars'].items(): - # Skip masked values + # For masked values, resolve from per-plugin .env then os.environ if value == 'โ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ข': - # Use actual env var value - value = os.getenv(key, '') + value = plugin_env.get(key) or os.getenv(key, '') test_config[key.lower()] = value # Expand any remaining env var references @@ -1306,3 +1541,277 @@ async def test_plugin_connection(plugin_id: str, config: dict) -> dict: "message": f"Connection test failed: {str(e)}", "status": "error" } + + +# Plugin Lifecycle Management Functions (create / write-code / delete) + +def _snake_to_pascal(snake_str: str) -> str: + """Convert snake_case to PascalCase.""" + return "".join(word.capitalize() for word in snake_str.split("_")) + + +def _extract_class_name(code: str) -> Optional[str]: + """Extract the BasePlugin subclass name from plugin code.""" + match = re.search(r"class\s+(\w+)\s*\(.*BasePlugin.*\)", code) + return match.group(1) if match else None + + +async def create_plugin( + plugin_name: str, + description: str, + events: list[str], + plugin_code: Optional[str] = None, +) -> dict: + """Create a new plugin directory with boilerplate or LLM-generated code. + + Args: + plugin_name: snake_case plugin identifier + description: Human-readable description + events: List of event strings the plugin subscribes to + plugin_code: Optional full plugin.py source (LLM-generated) + + Returns: + Success dict with plugin_id and created_files list + """ + from advanced_omi_backend.services.plugin_service import _get_plugins_dir, discover_plugins + + # Validate name + if not plugin_name.replace("_", "").isalnum(): + return {"success": False, "error": "Plugin name must be alphanumeric with underscores only"} + + if not re.match(r"^[a-z][a-z0-9_]*$", plugin_name): + return {"success": False, "error": "Plugin name must be lowercase snake_case starting with a letter"} + + plugins_dir = _get_plugins_dir() + plugin_dir = plugins_dir / plugin_name + + # Collision check + if plugin_dir.exists(): + return {"success": False, "error": f"Plugin '{plugin_name}' already exists at {plugin_dir}"} + + discovered = discover_plugins() + if plugin_name in discovered: + return {"success": False, "error": f"Plugin '{plugin_name}' is already registered"} + + class_name = _snake_to_pascal(plugin_name) + "Plugin" + created_files: list[str] = [] + + try: + plugin_dir.mkdir(parents=True, exist_ok=True) + + # plugin.py + if plugin_code: + # Use LLM-generated code; extract real class name from it + extracted = _extract_class_name(plugin_code) + if extracted: + class_name = extracted + (plugin_dir / "plugin.py").write_text(plugin_code, encoding="utf-8") + else: + # Write standard boilerplate + events_str = ", ".join(f'"{e}"' for e in events) if events else '"conversation.complete"' + boilerplate = inspect.cleandoc(f''' + """ + {class_name} implementation. + + {description} + """ + import logging + from typing import Any, Dict, Optional + + from advanced_omi_backend.plugins.base import BasePlugin, PluginContext, PluginResult + + logger = logging.getLogger(__name__) + + + class {class_name}(BasePlugin): + """{description} + + Subscribes to: [{events_str}] + """ + + SUPPORTED_ACCESS_LEVELS = ["conversation"] + + def __init__(self, config: Dict[str, Any]): + super().__init__(config) + logger.info("{class_name} loaded") + + async def initialize(self): + if not self.enabled: + return + logger.info("{class_name} initialized") + + async def cleanup(self): + logger.info("{class_name} cleanup complete") + + async def on_conversation_complete(self, context: PluginContext) -> Optional[PluginResult]: + logger.info(f"Processing conversation for user: {{context.user_id}}") + return PluginResult(success=True, message="OK") + ''') + "\n" + (plugin_dir / "plugin.py").write_text(boilerplate, encoding="utf-8") + created_files.append("plugin.py") + + # __init__.py + init_content = f'"""{class_name} for Chronicle."""\n\nfrom .plugin import {class_name}\n\n__all__ = ["{class_name}"]\n' + (plugin_dir / "__init__.py").write_text(init_content, encoding="utf-8") + created_files.append("__init__.py") + + # config.yml + config_yml = {"description": description} + with open(plugin_dir / "config.yml", 'w', encoding="utf-8") as f: + _yaml.dump(config_yml, f) + created_files.append("config.yml") + + # README.md + readme = f"# {class_name}\n\n{description}\n" + (plugin_dir / "README.md").write_text(readme, encoding="utf-8") + created_files.append("README.md") + + # Add disabled entry to plugins.yml + plugins_yml_path = get_plugins_yml_path() + if plugins_yml_path.exists(): + with open(plugins_yml_path, "r") as f: + plugins_data = _yaml.load(f) or {} + else: + plugins_data = {} + plugins_yml_path.parent.mkdir(parents=True, exist_ok=True) + + if "plugins" not in plugins_data: + plugins_data["plugins"] = {} + + plugins_data["plugins"][plugin_name] = { + "enabled": False, + "events": events or ["conversation.complete"], + "condition": {"type": "always"}, + } + with open(plugins_yml_path, "w") as f: + _yaml.dump(plugins_data, f) + + logger.info(f"Created plugin '{plugin_name}' at {plugin_dir}") + return { + "success": True, + "plugin_id": plugin_name, + "created_files": created_files, + "plugin_dir": str(plugin_dir), + } + + except Exception as e: + # Clean up partial directory on error + if plugin_dir.exists(): + shutil.rmtree(plugin_dir, ignore_errors=True) + logger.exception(f"Error creating plugin '{plugin_name}'") + return {"success": False, "error": str(e)} + + +async def write_plugin_code( + plugin_id: str, + code: str, + config_yml: Optional[str] = None, +) -> dict: + """Overwrite an existing plugin's code. + + Args: + plugin_id: Plugin identifier (directory name) + code: New plugin.py source code + config_yml: Optional new config.yml content (YAML string) + + Returns: + Success dict with updated_files list + """ + from advanced_omi_backend.services.plugin_service import _get_plugins_dir + + plugins_dir = _get_plugins_dir() + plugin_dir = plugins_dir / plugin_id + + if not plugin_dir.exists(): + return {"success": False, "error": f"Plugin '{plugin_id}' not found at {plugin_dir}"} + + updated_files: list[str] = [] + + try: + # Write plugin.py + (plugin_dir / "plugin.py").write_text(code, encoding="utf-8") + updated_files.append("plugin.py") + + # Update __init__.py with extracted class name + class_name = _extract_class_name(code) + if class_name: + init_content = f'"""{class_name} for Chronicle."""\n\nfrom .plugin import {class_name}\n\n__all__ = ["{class_name}"]\n' + (plugin_dir / "__init__.py").write_text(init_content, encoding="utf-8") + updated_files.append("__init__.py") + + # Optionally update config.yml + if config_yml is not None: + # Validate YAML + _yaml.load(config_yml) + (plugin_dir / "config.yml").write_text(config_yml, encoding="utf-8") + updated_files.append("config.yml") + + logger.info(f"Updated plugin code for '{plugin_id}': {updated_files}") + return { + "success": True, + "plugin_id": plugin_id, + "updated_files": updated_files, + } + + except Exception as e: + logger.exception(f"Error writing code for plugin '{plugin_id}'") + return {"success": False, "error": str(e)} + + +async def delete_plugin(plugin_id: str, remove_files: bool = False) -> dict: + """Delete a plugin from plugins.yml and optionally remove its files. + + Args: + plugin_id: Plugin identifier + remove_files: If True, also delete the plugin directory + + Returns: + Success dict + """ + from advanced_omi_backend.services.plugin_service import _get_plugins_dir + + plugins_yml_path = get_plugins_yml_path() + + # Check plugins.yml + if plugins_yml_path.exists(): + with open(plugins_yml_path, "r") as f: + plugins_data = _yaml.load(f) or {} + else: + plugins_data = {} + + plugin_entry = plugins_data.get("plugins", {}).get(plugin_id) + + # Refuse if enabled + if plugin_entry and plugin_entry.get("enabled"): + return { + "success": False, + "error": f"Plugin '{plugin_id}' is currently enabled. Disable it first before deleting.", + } + + # Remove from plugins.yml + removed_from_yml = False + if plugin_entry is not None: + del plugins_data["plugins"][plugin_id] + with open(plugins_yml_path, "w") as f: + _yaml.dump(plugins_data, f) + removed_from_yml = True + + # Optionally remove files + files_removed = False + plugins_dir = _get_plugins_dir() + plugin_dir = plugins_dir / plugin_id + if remove_files and plugin_dir.exists(): + shutil.rmtree(plugin_dir) + files_removed = True + logger.info(f"Removed plugin directory: {plugin_dir}") + + if not removed_from_yml and not files_removed: + return {"success": False, "error": f"Plugin '{plugin_id}' not found in plugins.yml or on disk"} + + logger.info(f"Deleted plugin '{plugin_id}' (yml={removed_from_yml}, files={files_removed})") + return { + "success": True, + "plugin_id": plugin_id, + "removed_from_yml": removed_from_yml, + "files_removed": files_removed, + } diff --git a/backends/advanced/src/advanced_omi_backend/controllers/websocket_controller.py b/backends/advanced/src/advanced_omi_backend/controllers/websocket_controller.py index 0dc09396..c27aad62 100644 --- a/backends/advanced/src/advanced_omi_backend/controllers/websocket_controller.py +++ b/backends/advanced/src/advanced_omi_backend/controllers/websocket_controller.py @@ -368,14 +368,13 @@ async def _setup_websocket_connection( f"๐Ÿ”Œ {connection_type} WebSocket connection accepted - User: {user.user_id} ({user.email}), Client: {client_id}" ) - # Send ready message for PCM clients - if connection_type == "PCM": - try: - ready_msg = json.dumps({"type": "ready", "message": "WebSocket connection established"}) + "\n" - await ws.send_text(ready_msg) - application_logger.debug(f"โœ… Sent ready message to {client_id}") - except Exception as e: - application_logger.error(f"Failed to send ready message to {client_id}: {e}") + # Send ready message to confirm connection is established + try: + ready_msg = json.dumps({"type": "ready", "message": "WebSocket connection established"}) + "\n" + await ws.send_text(ready_msg) + application_logger.debug(f"โœ… Sent ready message to {client_id}") + except Exception as e: + application_logger.error(f"Failed to send ready message to {client_id}: {e}") # Create client state client_state = await create_client_state(client_id, user, device_name) @@ -994,6 +993,7 @@ async def _handle_button_event( } client_state.add_marker(marker) + # Map device button state to typed plugin event try: button_state_enum = ButtonState(button_state) @@ -1093,12 +1093,14 @@ async def _process_rolling_batch( version_id = str(uuid.uuid4()) transcribe_job_id = f"transcribe_rolling_{conversation_id[:12]}_{batch_number}" + from advanced_omi_backend.config import get_transcription_job_timeout + transcription_job = transcription_queue.enqueue( transcribe_full_audio_job, conversation_id, version_id, f"rolling_batch_{batch_number}", # trigger - job_timeout=900, # 15 minutes + job_timeout=get_transcription_job_timeout(), result_ttl=JOB_RESULT_TTL, job_id=transcribe_job_id, description=f"Transcribe rolling batch #{batch_number} {conversation_id[:8]}", @@ -1213,12 +1215,14 @@ async def _process_batch_audio_complete( version_id = str(uuid.uuid4()) transcribe_job_id = f"transcribe_{conversation_id[:12]}" + from advanced_omi_backend.config import get_transcription_job_timeout + transcription_job = transcription_queue.enqueue( transcribe_full_audio_job, conversation_id, version_id, "batch", # trigger - job_timeout=900, # 15 minutes + job_timeout=get_transcription_job_timeout(), result_ttl=JOB_RESULT_TTL, job_id=transcribe_job_id, description=f"Transcribe batch audio {conversation_id[:8]}", diff --git a/backends/advanced/src/advanced_omi_backend/llm_client.py b/backends/advanced/src/advanced_omi_backend/llm_client.py index 0a40595a..ca640640 100644 --- a/backends/advanced/src/advanced_omi_backend/llm_client.py +++ b/backends/advanced/src/advanced_omi_backend/llm_client.py @@ -83,24 +83,34 @@ def generate( """Generate text completion using OpenAI-compatible API.""" try: model_name = model or self.model - temp = temperature or self.temperature - - # Build completion parameters + temp = temperature if temperature is not None else self.temperature + params = { "model": model_name, "messages": [{"role": "user", "content": prompt}], + "temperature": temp, } - - # Skip temperature for gpt-4o-mini as it only supports default (1) - if not (model_name and "gpt-4o-mini" in model_name): - params["temperature"] = temp - + response = self.client.chat.completions.create(**params) return response.choices[0].message.content.strip() except Exception as e: self.logger.error(f"Error generating completion: {e}") raise + def chat_with_tools( + self, messages: list, tools: list | None = None, model: str | None = None, temperature: float | None = None + ): + """Chat completion with tool/function calling support. Returns raw response object.""" + model_name = model or self.model + params = { + "model": model_name, + "messages": messages, + "temperature": temperature if temperature is not None else self.temperature, + } + if tools: + params["tools"] = tools + return self.client.chat.completions.create(**params) + def health_check(self) -> Dict: """Check OpenAI-compatible service health.""" try: @@ -182,14 +192,71 @@ def reset_llm_client(): # Async wrapper for blocking LLM operations async def async_generate( - prompt: str, model: str | None = None, temperature: float | None = None + prompt: str, + model: str | None = None, + temperature: float | None = None, + operation: str | None = None, ) -> str: - """Async wrapper for LLM text generation.""" + """Async wrapper for LLM text generation. + + When ``operation`` is provided, parameters are resolved from the + ``llm_operations`` config section via ``get_llm_operation()``. + The resolved config determines model, temperature, max_tokens, etc. + Explicit ``model``/``temperature`` kwargs still override the resolved values. + """ + if operation: + registry = get_models_registry() + if registry: + op = registry.get_llm_operation(operation) + client = op.get_client(is_async=True) + api_params = op.to_api_params() + # Allow explicit overrides + if temperature is not None: + api_params["temperature"] = temperature + if model is not None: + api_params["model"] = model + api_params["messages"] = [{"role": "user", "content": prompt}] + response = await client.chat.completions.create(**api_params) + return response.choices[0].message.content.strip() + + # Fallback: use singleton client client = get_llm_client() loop = asyncio.get_running_loop() return await loop.run_in_executor(None, client.generate, prompt, model, temperature) +async def async_chat_with_tools( + messages: list, + tools: list | None = None, + model: str | None = None, + temperature: float | None = None, + operation: str | None = None, +): + """Async wrapper for chat completion with tool calling. + + When ``operation`` is provided, parameters are resolved from config. + """ + if operation: + registry = get_models_registry() + if registry: + op = registry.get_llm_operation(operation) + client = op.get_client(is_async=True) + api_params = op.to_api_params() + if temperature is not None: + api_params["temperature"] = temperature + if model is not None: + api_params["model"] = model + api_params["messages"] = messages + if tools: + api_params["tools"] = tools + return await client.chat.completions.create(**api_params) + + # Fallback: use singleton client + client = get_llm_client() + loop = asyncio.get_running_loop() + return await loop.run_in_executor(None, client.chat_with_tools, messages, tools, model, temperature) + + async def async_health_check() -> Dict: """Async wrapper for LLM health check.""" client = get_llm_client() diff --git a/backends/advanced/src/advanced_omi_backend/model_registry.py b/backends/advanced/src/advanced_omi_backend/model_registry.py index 5e88d91a..bc7e5fc5 100644 --- a/backends/advanced/src/advanced_omi_backend/model_registry.py +++ b/backends/advanced/src/advanced_omi_backend/model_registry.py @@ -103,6 +103,76 @@ def validate_model(self) -> ModelDef: return self +class LLMOperationConfig(BaseModel): + """Per-operation LLM config as written in YAML. + + Each field is optional so users can override only what they need; + unset fields are resolved from the model's model_params at runtime. + """ + + model_config = ConfigDict(extra="forbid") + + model: Optional[str] = None + temperature: Optional[float] = None + max_tokens: Optional[int] = None + response_format: Optional[str] = None # "json" โ†’ {"type": "json_object"} + + +class ResolvedLLMOperation(BaseModel): + """Everything needed to make an LLM call. No further lookups required. + + Works uniformly for OpenAI, Ollama, Groq, or any OpenAI-compatible provider. + The model_def carries all provider details (api_key, base_url, model_name). + """ + + model_config = ConfigDict(arbitrary_types_allowed=True) + + model_def: ModelDef + temperature: float + max_tokens: Optional[int] = None + response_format: Optional[Dict[str, Any]] = None # {"type": "json_object"} or None + + @property + def model_name(self) -> str: + return self.model_def.model_name + + @property + def api_key(self) -> Optional[str]: + return self.model_def.api_key + + @property + def base_url(self) -> str: + return self.model_def.model_url + + def to_api_params(self) -> Dict[str, Any]: + """Returns kwargs for client.chat.completions.create(). + + Works for OpenAI, Ollama, Groq โ€” all OpenAI-compatible. + """ + params: Dict[str, Any] = { + "model": self.model_def.model_name, + "temperature": self.temperature, + } + if self.max_tokens is not None: + params["max_tokens"] = self.max_tokens + if self.response_format is not None: + params["response_format"] = self.response_format + return params + + def get_client(self, is_async: bool = False): + """Create an OpenAI-compatible client for this operation. + + Uses create_openai_client which handles Langfuse tracing. + """ + from advanced_omi_backend.openai_factory import create_openai_client + + return create_openai_client( + api_key=self.model_def.api_key or "", + base_url=self.model_def.model_url, + is_async=is_async, + ) + + class AppModels(BaseModel): """Application models registry. @@ -134,6 +204,10 @@ class AppModels(BaseModel): default_factory=dict, description="Chat service configuration including system prompt" ) + llm_operations: Dict[str, LLMOperationConfig] = Field( + default_factory=dict, + description="Per-operation LLM configuration (temperature, model override, etc.)" + ) def get_by_name(self, name: str) -> Optional[ModelDef]: """Get a model by its unique name. @@ -183,12 +257,73 @@ def get_all_by_type(self, model_type: str) -> List[ModelDef]: def list_model_types(self) -> List[str]: """Get all unique model types in the registry. - + Returns: Sorted list of model types """ return sorted(set(m.model_type for m in self.models.values())) + def get_llm_operation(self, name: str) -> ResolvedLLMOperation: + """Resolve a named LLM operation to a self-contained config. + + Resolution: + 1. Look up llm_operations[name] (empty LLMOperationConfig if missing) + 2. Resolve model_def: op.model โ†’ get_by_name, else defaults.llm + 3. Merge parameters: operation > model_def.model_params > safe fallback + 4. Return ResolvedLLMOperation ready for use + + Args: + name: Operation name (e.g. "memory_extraction", "chat") + + Returns: + ResolvedLLMOperation with model_def, temperature, max_tokens, response_format + + Raises: + RuntimeError: If no model can be resolved for the operation + """ + op_config = self.llm_operations.get(name, LLMOperationConfig()) + + # Resolve model definition + if op_config.model: + model_def = self.get_by_name(op_config.model) + if not model_def: + raise RuntimeError( + f"LLM operation '{name}' references model '{op_config.model}' " + f"which is not defined in the models list" + ) + else: + model_def = self.get_default("llm") + if not model_def: + raise RuntimeError( + f"No model specified for operation '{name}' and no default LLM defined" + ) + + # Merge parameters: operation config > model_params > safe fallback + model_params = model_def.model_params or {} + + temperature = ( + op_config.temperature + if op_config.temperature is not None + else model_params.get("temperature", 0.2) + ) + max_tokens = ( + op_config.max_tokens + if op_config.max_tokens is not None + else model_params.get("max_tokens") + ) + + # Convert "json" shorthand to OpenAI format + response_format = None + if op_config.response_format == "json": + response_format = {"type": "json_object"} + + return ResolvedLLMOperation( + model_def=model_def, + temperature=float(temperature), + max_tokens=int(max_tokens) if max_tokens is not None else None, + response_format=response_format, + ) + # Global registry singleton _REGISTRY: Optional[AppModels] = None @@ -242,6 +377,7 @@ def load_models_config(force_reload: bool = False) -> Optional[AppModels]: memory_settings = raw.get("memory", {}) or {} speaker_recognition_cfg = raw.get("speaker_recognition", {}) or {} chat_settings = raw.get("chat", {}) or {} + llm_ops_raw = raw.get("llm_operations", {}) or {} # Parse and validate models using Pydantic models: Dict[str, ModelDef] = {} @@ -255,13 +391,22 @@ def load_models_config(force_reload: bool = False) -> Optional[AppModels]: logging.warning(f"Failed to load model '{m.get('name', 'unknown')}': {e}") continue + # Parse LLM operation configs + llm_operations: Dict[str, LLMOperationConfig] = {} + for op_name, op_dict in llm_ops_raw.items(): + try: + llm_operations[op_name] = LLMOperationConfig(**(op_dict or {})) + except ValidationError as e: + logging.warning(f"Failed to load llm_operation '{op_name}': {e}") + # Create and cache registry _REGISTRY = AppModels( defaults=defaults, models=models, memory=memory_settings, speaker_recognition=speaker_recognition_cfg, - chat=chat_settings + chat=chat_settings, + llm_operations=llm_operations, ) return _REGISTRY diff --git a/backends/advanced/src/advanced_omi_backend/models/annotation.py b/backends/advanced/src/advanced_omi_backend/models/annotation.py index 8eecf81a..451d84d1 100644 --- a/backends/advanced/src/advanced_omi_backend/models/annotation.py +++ b/backends/advanced/src/advanced_omi_backend/models/annotation.py @@ -20,6 +20,8 @@ class AnnotationType(str, Enum): TRANSCRIPT = "transcript" DIARIZATION = "diarization" # Speaker identification corrections ENTITY = "entity" # Knowledge graph entity corrections (name/details edits) + TITLE = "title" # Conversation title corrections + INSERT = "insert" # Insert new segment between existing segments class AnnotationSource(str, Enum): @@ -77,6 +79,12 @@ class Annotation(Document): entity_id: Optional[str] = None # Neo4j entity ID entity_field: Optional[str] = None # Which field was changed ("name" or "details") + # For INSERT annotations: + insert_after_index: Optional[int] = None # -1 = before first segment + insert_text: Optional[str] = None # e.g., "[laughter]" or "wife laughed" + insert_segment_type: Optional[str] = None # "event", "note", or "speech" + insert_speaker: Optional[str] = None # Speaker label for "speech" type inserts + # Processed tracking (applies to ALL annotation types) processed: bool = Field(default=False) # Whether annotation has been applied/sent to training processed_at: Optional[datetime] = None # When annotation was processed @@ -120,6 +128,10 @@ def is_entity_annotation(self) -> bool: """Check if this is an entity annotation.""" return self.annotation_type == AnnotationType.ENTITY + def is_title_annotation(self) -> bool: + """Check if this is a title annotation.""" + return self.annotation_type == AnnotationType.TITLE + def is_pending_suggestion(self) -> bool: """Check if this is a pending AI suggestion.""" return ( @@ -175,6 +187,31 @@ class EntityAnnotationCreate(BaseModel): corrected_text: str +class TitleAnnotationCreate(AnnotationCreateBase): + """Create title annotation request.""" + conversation_id: str + original_text: str + corrected_text: str + + +class InsertAnnotationCreate(BaseModel): + """Create insert annotation request (new segment between existing segments).""" + conversation_id: str + insert_after_index: int # -1 = before first segment + insert_text: str + insert_segment_type: str # "event", "note", or "speech" + insert_speaker: Optional[str] = None # Speaker label for "speech" type inserts + + +class AnnotationUpdate(BaseModel): + """Update an existing unprocessed annotation.""" + corrected_text: Optional[str] = None + corrected_speaker: Optional[str] = None + insert_text: Optional[str] = None + insert_segment_type: Optional[str] = None + insert_speaker: Optional[str] = None + + class AnnotationResponse(BaseModel): """Annotation response for API.""" id: str @@ -190,6 +227,10 @@ class AnnotationResponse(BaseModel): segment_start_time: Optional[float] = None entity_id: Optional[str] = None entity_field: Optional[str] = None + insert_after_index: Optional[int] = None + insert_text: Optional[str] = None + insert_segment_type: Optional[str] = None + insert_speaker: Optional[str] = None processed: bool = False processed_at: Optional[datetime] = None processed_by: Optional[str] = None diff --git a/backends/advanced/src/advanced_omi_backend/models/conversation.py b/backends/advanced/src/advanced_omi_backend/models/conversation.py index 23fae946..6a99f70f 100644 --- a/backends/advanced/src/advanced_omi_backend/models/conversation.py +++ b/backends/advanced/src/advanced_omi_backend/models/conversation.py @@ -24,7 +24,6 @@ class MemoryProvider(str, Enum): """Supported memory providers.""" CHRONICLE = "chronicle" OPENMEMORY_MCP = "openmemory_mcp" - MYCELIA = "mycelia" FRIEND_LITE = "friend_lite" # Legacy value class ConversationStatus(str, Enum): @@ -51,12 +50,22 @@ class Word(BaseModel): end: float = Field(description="End time in seconds") confidence: Optional[float] = Field(None, description="Confidence score (0-1)") + class SegmentType(str, Enum): + """Type of transcript segment.""" + SPEECH = "speech" + EVENT = "event" # Non-speech: [laughter], [music], etc. + NOTE = "note" # User-inserted annotation/tag + class SpeakerSegment(BaseModel): """Individual speaker segment in a transcript.""" start: float = Field(description="Start time in seconds") end: float = Field(description="End time in seconds") text: str = Field(description="Transcript text for this segment") speaker: str = Field(description="Speaker identifier") + segment_type: str = Field( + default="speech", + description="Type: speech, event (non-speech from ASR), or note (user-inserted)" + ) identified_as: Optional[str] = Field(None, description="Speaker name from speaker recognition (None if not identified)") confidence: Optional[float] = Field(None, description="Confidence score (0-1)") words: List["Conversation.Word"] = Field(default_factory=list, description="Word-level timestamps for this segment") @@ -385,7 +394,13 @@ class Settings: "user_id", "created_at", [("user_id", 1), ("deleted", 1), ("created_at", -1)], # Compound index for paginated list queries - IndexModel([("external_source_id", 1)], sparse=True) # Sparse index for deduplication + IndexModel([("external_source_id", 1)], sparse=True), # Sparse index for deduplication + IndexModel( + [("title", "text"), ("summary", "text"), ("detailed_summary", "text"), + ("transcript_versions.transcript", "text")], + weights={"title": 10, "summary": 5, "detailed_summary": 3, "transcript_versions.transcript": 1}, + name="conversation_text_search", + ), ] diff --git a/backends/advanced/src/advanced_omi_backend/plugins/events.py b/backends/advanced/src/advanced_omi_backend/plugins/events.py index 210c8fd6..8c177fb4 100644 --- a/backends/advanced/src/advanced_omi_backend/plugins/events.py +++ b/backends/advanced/src/advanced_omi_backend/plugins/events.py @@ -7,24 +7,34 @@ """ from enum import Enum -from typing import Dict +from typing import Dict # Used by BUTTON_STATE_TO_EVENT class PluginEvent(str, Enum): - """All events that can trigger plugins.""" + """All events that can trigger plugins. + + Each member carries a human-readable ``description`` attribute so event + metadata stays in sync with the enum automatically. + """ + + def __new__(cls, value: str, description: str = ""): + obj = str.__new__(cls, value) + obj._value_ = value + obj.description = description + return obj # Conversation lifecycle - CONVERSATION_COMPLETE = "conversation.complete" - TRANSCRIPT_STREAMING = "transcript.streaming" - TRANSCRIPT_BATCH = "transcript.batch" - MEMORY_PROCESSED = "memory.processed" + CONVERSATION_COMPLETE = ("conversation.complete", "Fires when conversation processing finishes (transcript ready)") + TRANSCRIPT_STREAMING = ("transcript.streaming", "Real-time transcript segments during a live conversation") + TRANSCRIPT_BATCH = ("transcript.batch", "Batch transcript from file upload processing") + MEMORY_PROCESSED = ("memory.processed", "After memories are extracted from a conversation") # Button events (from OMI device) - BUTTON_SINGLE_PRESS = "button.single_press" - BUTTON_DOUBLE_PRESS = "button.double_press" + BUTTON_SINGLE_PRESS = ("button.single_press", "OMI device button single press") + BUTTON_DOUBLE_PRESS = ("button.double_press", "OMI device button double press") # Cross-plugin communication (dispatched by PluginServices.call_plugin) - PLUGIN_ACTION = "plugin_action" + PLUGIN_ACTION = ("plugin_action", "Cross-plugin dispatch via PluginServices.call_plugin()") class ButtonState(str, Enum): diff --git a/backends/advanced/src/advanced_omi_backend/plugins/router.py b/backends/advanced/src/advanced_omi_backend/plugins/router.py index 422a97da..b8526aef 100644 --- a/backends/advanced/src/advanced_omi_backend/plugins/router.py +++ b/backends/advanced/src/advanced_omi_backend/plugins/router.py @@ -10,7 +10,7 @@ import re import string import time -from typing import Dict, List, Optional +from typing import Any, Dict, List, NamedTuple, Optional import redis @@ -89,6 +89,35 @@ def extract_command_after_wake_word(transcript: str, wake_word: str) -> str: return transcript.strip() +class ConditionResult(NamedTuple): + """Result of a plugin condition check.""" + execute: bool + extra: Dict[str, Any] = {} + + +class PluginHealth: + """Health status for a single plugin.""" + + # Possible status values + REGISTERED = "registered" # Registered but not yet initialized + INITIALIZED = "initialized" # Successfully initialized + FAILED = "failed" # initialize() raised an exception + + def __init__(self, plugin_id: str): + self.plugin_id = plugin_id + self.status: str = self.REGISTERED + self.error: Optional[str] = None + + def to_dict(self) -> Dict[str, Any]: + result: Dict[str, Any] = { + "plugin_id": self.plugin_id, + "status": self.status, + } + if self.error: + result["error"] = self.error + return result + + class PluginRouter: """Routes pipeline events to appropriate plugins based on event subscriptions""" @@ -97,6 +126,7 @@ class PluginRouter: def __init__(self): self.plugins: Dict[str, BasePlugin] = {} + self.plugin_health: Dict[str, PluginHealth] = {} # Index plugins by event for fast lookup self._plugins_by_event: Dict[str, List[str]] = {} self._services = None @@ -116,6 +146,7 @@ def set_services(self, services) -> None: def register_plugin(self, plugin_id: str, plugin: BasePlugin): """Register a plugin with the router""" self.plugins[plugin_id] = plugin + self.plugin_health[plugin_id] = PluginHealth(plugin_id) # Index by each event for event in plugin.events: @@ -125,6 +156,30 @@ def register_plugin(self, plugin_id: str, plugin: BasePlugin): logger.info(f"Registered plugin '{plugin_id}' for events: {plugin.events}") + def mark_plugin_initialized(self, plugin_id: str) -> None: + """Mark a plugin as successfully initialized.""" + if plugin_id in self.plugin_health: + self.plugin_health[plugin_id].status = PluginHealth.INITIALIZED + + def mark_plugin_failed(self, plugin_id: str, error: str) -> None: + """Mark a plugin as failed during initialization.""" + if plugin_id in self.plugin_health: + health = self.plugin_health[plugin_id] + health.status = PluginHealth.FAILED + health.error = error + + def get_health_summary(self) -> Dict[str, Any]: + """Get health summary for all registered plugins.""" + plugins = [h.to_dict() for h in self.plugin_health.values()] + statuses = [h.status for h in self.plugin_health.values()] + return { + "total": len(plugins), + "initialized": statuses.count(PluginHealth.INITIALIZED), + "failed": statuses.count(PluginHealth.FAILED), + "registered": statuses.count(PluginHealth.REGISTERED), + "plugins": plugins, + } + async def dispatch_event( self, event: str, @@ -167,17 +222,21 @@ async def dispatch_event( # Check execution condition (wake_word, etc.) logger.info(f" โ†’ Checking execution condition for '{plugin_id}'") - if not await self._should_execute(plugin, data): + condition = await self._should_execute(plugin, data) + if not condition.execute: logger.info(f" โŠ˜ Skipping '{plugin_id}': condition not met") continue # Execute plugin try: logger.info(f" โ–ถ Executing '{plugin_id}' for event '{event}'") + # Per-plugin data copy: merge extra context (e.g. wake word + # command) without mutating the shared data dict. + plugin_data = {**data, **condition.extra} if condition.extra else data context = PluginContext( user_id=user_id, event=event, - data=data, + data=plugin_data, metadata=metadata or {}, services=self._services, ) @@ -222,12 +281,20 @@ async def dispatch_event( return results - async def _should_execute(self, plugin: BasePlugin, data: Dict) -> bool: - """Check if plugin should be executed based on condition configuration""" + _SKIP = ConditionResult(execute=False) + _PASS = ConditionResult(execute=True) + + async def _should_execute(self, plugin: BasePlugin, data: Dict) -> ConditionResult: + """Check if plugin should be executed based on condition configuration. + + Returns a ConditionResult. The ``extra`` dict contains per-plugin data + (e.g. wake word command extraction) that gets merged into a copy of data + for the plugin's PluginContext โ€” never mutating the shared data dict. + """ condition_type = plugin.condition.get('type', 'always') if condition_type == 'always': - return True + return self._PASS elif condition_type == 'wake_word': # Normalize transcript for matching (handles punctuation and spacing) @@ -248,18 +315,19 @@ async def _should_execute(self, plugin: BasePlugin, data: Dict) -> bool: if normalized_wake_word and normalized_transcript.startswith(normalized_wake_word): # Smart extraction: find where wake word actually ends in original text command = extract_command_after_wake_word(transcript, wake_word) - data['command'] = command - data['original_transcript'] = transcript logger.debug(f"Wake word '{wake_word}' detected. Original: '{transcript}', Command: '{command}'") - return True + return ConditionResult( + execute=True, + extra={'command': command, 'original_transcript': transcript}, + ) - return False + return self._SKIP elif condition_type == 'conditional': # Future: Custom condition checking - return True + return self._PASS - return False + return self._SKIP async def _execute_plugin( self, @@ -312,6 +380,19 @@ def _log_event( except Exception: logger.debug("Failed to log event to Redis", exc_info=True) + def clear_events(self) -> int: + """Delete all events from the Redis event log. Returns the number of events that were stored.""" + if not self._event_redis: + return 0 + try: + count = self._event_redis.llen(self._EVENT_LOG_KEY) + self._event_redis.delete(self._EVENT_LOG_KEY) + return count + except Exception: + logger.debug("Failed to clear events from Redis", exc_info=True) + return 0 + + def get_recent_events(self, limit: int = 50, event_type: Optional[str] = None) -> List[Dict]: """Read recent events from the Redis log.""" if not self._event_redis: diff --git a/backends/advanced/src/advanced_omi_backend/plugins/services.py b/backends/advanced/src/advanced_omi_backend/plugins/services.py index 0322265b..a1764c9f 100644 --- a/backends/advanced/src/advanced_omi_backend/plugins/services.py +++ b/backends/advanced/src/advanced_omi_backend/plugins/services.py @@ -8,6 +8,9 @@ import logging from typing import TYPE_CHECKING, Optional +import redis.asyncio as aioredis + + from .base import PluginContext, PluginResult from .events import ConversationCloseReason, PluginEvent @@ -22,7 +25,14 @@ class PluginServices: def __init__(self, router: "PluginRouter", redis_url: str): self._router = router - self._redis_url = redis_url + self._async_redis = aioredis.from_url(redis_url, decode_responses=True) + + async def cleanup(self): + """Close the shared async Redis connection pool.""" + try: + await self._async_redis.aclose() + except Exception as e: + logger.debug(f"Error closing async Redis pool: {e}") async def close_conversation( self, @@ -41,17 +51,11 @@ async def close_conversation( Returns: True if the close request was set successfully """ - import redis.asyncio as aioredis - from advanced_omi_backend.controllers.session_controller import ( request_conversation_close, ) - r = aioredis.from_url(self._redis_url) - try: - return await request_conversation_close(r, session_id, reason=reason.value) - finally: - await r.aclose() + return await request_conversation_close(self._async_redis, session_id, reason=reason.value) async def call_plugin( self, diff --git a/backends/advanced/src/advanced_omi_backend/prompt_defaults.py b/backends/advanced/src/advanced_omi_backend/prompt_defaults.py index 58a1fdd0..cb427d4b 100644 --- a/backends/advanced/src/advanced_omi_backend/prompt_defaults.py +++ b/backends/advanced/src/advanced_omi_backend/prompt_defaults.py @@ -555,6 +555,58 @@ def register_all_defaults(registry: PromptRegistry) -> None: is_dynamic=True, ) + # ------------------------------------------------------------------ + # plugin_assistant.system + # ------------------------------------------------------------------ + registry.register_default( + "plugin_assistant.system", + template="""\ +You are a plugin lifecycle assistant for Chronicle, an AI-powered personal system. You help users create, configure, enable, disable, test, and delete plugins through natural conversation. + +## Current Plugins ({{plugin_count}} total) + +{{plugins_metadata}} + +## Available Events + +{{available_events}} + +## Plugin Architecture + +Chronicle plugins use a three-file architecture: +1. **config/plugins.yml** โ€” Orchestration: enabled/disabled, trigger events, conditions +2. **plugins/{plugin_id}/config.yml** โ€” Plugin settings (non-secret defaults) +3. **backends/advanced/.env** โ€” Secret values (API keys, passwords) + +## Condition Types +- `always` โ€” Plugin triggers on every matching event +- `wake_word` โ€” Plugin triggers only when specific wake words are detected in the transcript + +## Code Generation Guidelines +When creating plugins, generate complete plugin.py code based on the user's description. Follow the BasePlugin pattern: +- Import from `advanced_omi_backend.plugins.base` (BasePlugin, PluginContext, PluginResult) +- Inherit `BasePlugin`, implement relevant event handlers +- Use existing plugins as reference patterns: + - **hourly_recap**: button events + email sending + - **email_summarizer**: conversation.complete events + - **homeassistant**: wake word condition + cross-plugin calls + - **test_button_actions**: button action routing + +## Rules +- Describe proposed changes before applying; the system handles user confirmation +- Never reveal actual secret values (API keys, passwords) โ€” show them as masked +- After applying changes, remind the user to restart the backend for changes to take effect +- Use `get_available_events` tool to show event details on demand +- Use `get_recent_events` to check plugin activity +- Be concise and helpful +- If the user asks about something outside plugin management, politely redirect""", + name="Plugin Assistant System Prompt", + description="System prompt for the AI plugin configuration assistant. Receives current plugin metadata.", + category="plugin_assistant", + variables=["plugins_metadata", "available_events", "plugin_count"], + is_dynamic=True, + ) + # ------------------------------------------------------------------ # transcription.title_summary # ------------------------------------------------------------------ @@ -570,3 +622,75 @@ def register_all_defaults(registry: PromptRegistry) -> None: description="Generates title and summary during transcription pipeline processing.", category="transcription", ) + + # ------------------------------------------------------------------ + # prompt_optimization.title_optimizer + # ------------------------------------------------------------------ + registry.register_default( + "prompt_optimization.title_optimizer", + template="""\ +You are a prompt engineering specialist for conversation title generation. +Analyze user corrections to auto-generated titles and improve the system prompt. + +## Current Title Generation Prompt +{{current_prompt}} + +## User Title Corrections ({{count}} examples) +Each shows what the LLM generated vs what the user preferred: +{{formatted_corrections}} + +## Task +1. Identify patterns: Do users prefer shorter/longer titles? Different vocabulary? + More/less specific? Different framing (noun phrases vs descriptions)? +2. Revise the prompt to produce titles matching user preferences +3. Keep the exact output format (Title: ... / Summary: ...) and {{variable}} placeholders +4. Add specific style guidance based on the correction patterns + +## Output Format +ANALYSIS: +<2-3 sentences describing title style patterns found> + +REVISED_PROMPT: +""", + name="Title Optimizer Meta-Prompt", + description="Meta-prompt that analyzes title corrections and produces an improved title generation prompt.", + category="prompt_optimization", + variables=["current_prompt", "count", "formatted_corrections"], + is_dynamic=True, + ) + + # ------------------------------------------------------------------ + # prompt_optimization.memory_optimizer + # ------------------------------------------------------------------ + registry.register_default( + "prompt_optimization.memory_optimizer", + template="""\ +You are a prompt engineering specialist for personal fact extraction from conversations. +Analyze user corrections to extracted facts and improve the system prompt. + +## Current Fact Extraction Prompt +{{current_prompt}} + +## User Memory Corrections ({{count}} examples) +Each shows what the LLM extracted vs what the user corrected it to: +{{formatted_corrections}} + +## Task +1. Identify patterns: Are facts too vague/specific? Missing context? Wrong attribution? + Over-extracting trivial info? Missing important details? +2. Revise the prompt to extract facts matching user expectations +3. Keep the JSON output format ({{"facts": [...]}}) and {{variable}} placeholders +4. Update the few-shot examples if the correction patterns suggest better ones + +## Output Format +ANALYSIS: +<2-3 sentences describing fact extraction patterns found> + +REVISED_PROMPT: +""", + name="Memory Optimizer Meta-Prompt", + description="Meta-prompt that analyzes memory corrections and produces an improved fact extraction prompt.", + category="prompt_optimization", + variables=["current_prompt", "count", "formatted_corrections"], + is_dynamic=True, + ) diff --git a/backends/advanced/src/advanced_omi_backend/prompt_optimizer.py b/backends/advanced/src/advanced_omi_backend/prompt_optimizer.py new file mode 100644 index 00000000..c5e291e0 --- /dev/null +++ b/backends/advanced/src/advanced_omi_backend/prompt_optimizer.py @@ -0,0 +1,72 @@ +"""User-scoped prompt resolution and annotation-to-prompt mapping. + +Provides ``get_user_prompt()`` which checks for a per-user prompt override +in LangFuse before falling back to the global prompt from the registry. +User-scoped prompts are created by the prompt optimization cron job that +analyzes user annotations and rewrites prompts to match user preferences. +""" + +import logging +from typing import Optional + +from advanced_omi_backend.models.annotation import AnnotationType +from advanced_omi_backend.prompt_registry import get_prompt_registry + +logger = logging.getLogger(__name__) + +# Maps annotation types to the prompts they optimize and the meta-optimizer +# prompt used to do the rewriting. +ANNOTATION_PROMPT_MAP = { + AnnotationType.TITLE: { + "target_prompt": "conversation.title_summary", + "optimizer_prompt": "prompt_optimization.title_optimizer", + }, + AnnotationType.MEMORY: { + "target_prompt": "memory.fact_retrieval", + "optimizer_prompt": "prompt_optimization.memory_optimizer", + }, +} + + +async def get_user_prompt( + prompt_id: str, + user_id: Optional[str] = None, + **variables, +) -> str: + """Resolve a prompt with optional per-user override from LangFuse. + + Resolution order (first match wins): + 1. LangFuse user-scoped prompt ``{prompt_id}:user:{user_id}`` + 2. Global prompt via ``registry.get_prompt(prompt_id)`` + + Falls back gracefully on any error (LangFuse unavailable, prompt not + found, etc.) so callers always get a usable prompt string. + + Args: + prompt_id: Dotted prompt identifier (e.g. "conversation.title_summary") + user_id: Optional user ID for per-user override lookup + **variables: Template variables to compile into the prompt + + Returns: + Compiled prompt text ready for LLM consumption + """ + registry = get_prompt_registry() + + # Try user-scoped override when user_id is provided + if user_id: + user_prompt_name = f"{prompt_id}:user:{user_id}" + try: + client = registry._get_client() + if client is not None: + prompt_obj = client.get_prompt(user_prompt_name) + if variables: + return prompt_obj.compile(**variables) + return prompt_obj.compile() + except Exception: + # User-scoped prompt not found or LangFuse unavailable โ€” fall through + logger.debug( + f"No user-scoped prompt '{user_prompt_name}', falling back to global" + ) + + # Fall back to global prompt (LangFuse override or code default) + return await registry.get_prompt(prompt_id, **variables) diff --git a/backends/advanced/src/advanced_omi_backend/routers/modules/annotation_routes.py b/backends/advanced/src/advanced_omi_backend/routers/modules/annotation_routes.py index c4e49ce1..e04e6c76 100644 --- a/backends/advanced/src/advanced_omi_backend/routers/modules/annotation_routes.py +++ b/backends/advanced/src/advanced_omi_backend/routers/modules/annotation_routes.py @@ -18,9 +18,12 @@ AnnotationResponse, AnnotationStatus, AnnotationType, + AnnotationUpdate, DiarizationAnnotationCreate, EntityAnnotationCreate, + InsertAnnotationCreate, MemoryAnnotationCreate, + TitleAnnotationCreate, TranscriptAnnotationCreate, ) from advanced_omi_backend.models.conversation import Conversation @@ -287,6 +290,22 @@ async def update_annotation_status( except Exception as e: logger.error(f"Error applying entity suggestion: {e}") # Don't fail the status update if entity update fails + elif annotation.is_title_annotation(): + # Update conversation title + try: + conversation = await Conversation.find_one( + Conversation.conversation_id == annotation.conversation_id, + Conversation.user_id == annotation.user_id, + ) + if conversation: + conversation.title = annotation.corrected_text + await conversation.save() + logger.info( + f"Applied title suggestion to conversation {annotation.conversation_id}" + ) + except Exception as e: + logger.error(f"Error applying title suggestion: {e}") + # Don't fail the status update if title update fails await annotation.save() logger.info(f"Updated annotation {annotation_id} status to {status}") @@ -303,6 +322,189 @@ async def update_annotation_status( ) +# === Generic Annotation Management === + + +@router.delete("/{annotation_id}") +async def delete_annotation( + annotation_id: str, + current_user: User = Depends(current_active_user), +): + """ + Delete an unprocessed annotation. + + - Only allows deleting annotations that haven't been applied yet (processed=False) + - Returns 404 if not found, 400 if already processed + """ + try: + annotation = await Annotation.find_one( + Annotation.id == annotation_id, + Annotation.user_id == current_user.user_id, + ) + if not annotation: + raise HTTPException(status_code=404, detail="Annotation not found") + + if annotation.processed: + raise HTTPException(status_code=400, detail="Cannot delete a processed annotation") + + await annotation.delete() + logger.info(f"Deleted annotation {annotation_id}") + + return {"status": "deleted", "annotation_id": annotation_id} + + except HTTPException: + raise + except Exception as e: + logger.error(f"Error deleting annotation: {e}", exc_info=True) + raise HTTPException( + status_code=500, + detail=f"Failed to delete annotation: {str(e)}", + ) + + +@router.patch("/{annotation_id}", response_model=AnnotationResponse) +async def update_annotation( + annotation_id: str, + update_data: AnnotationUpdate, + current_user: User = Depends(current_active_user), +): + """ + Update an unprocessed annotation in-place. + + - Only allows updating annotations that haven't been applied yet (processed=False) + - Updates corrected_text, corrected_speaker, insert_text, or insert_segment_type + - Replaces creating duplicate annotations when re-editing + """ + try: + annotation = await Annotation.find_one( + Annotation.id == annotation_id, + Annotation.user_id == current_user.user_id, + ) + if not annotation: + raise HTTPException(status_code=404, detail="Annotation not found") + + if annotation.processed: + raise HTTPException(status_code=400, detail="Cannot update a processed annotation") + + if update_data.corrected_text is not None: + annotation.corrected_text = update_data.corrected_text + if update_data.corrected_speaker is not None: + annotation.corrected_speaker = update_data.corrected_speaker + if update_data.insert_text is not None: + annotation.insert_text = update_data.insert_text + if update_data.insert_segment_type is not None: + annotation.insert_segment_type = update_data.insert_segment_type + if update_data.insert_speaker is not None: + annotation.insert_speaker = update_data.insert_speaker + + annotation.updated_at = datetime.now(timezone.utc) + await annotation.save() + logger.info(f"Updated annotation {annotation_id}") + + return AnnotationResponse.model_validate(annotation) + + except HTTPException: + raise + except Exception as e: + logger.error(f"Error updating annotation: {e}", exc_info=True) + raise HTTPException( + status_code=500, + detail=f"Failed to update annotation: {str(e)}", + ) + + +# === Insert Annotation Routes === + + +@router.post("/insert", response_model=AnnotationResponse) +async def create_insert_annotation( + annotation_data: InsertAnnotationCreate, + current_user: User = Depends(current_active_user), +): + """ + Create an INSERT annotation to add a new segment between existing segments. + + - Validates conversation ownership and index bounds + - Creates a pending annotation that will be applied with other annotations + - insert_after_index=-1 means insert before the first segment + """ + try: + conversation = await Conversation.find_one( + Conversation.conversation_id == annotation_data.conversation_id, + Conversation.user_id == current_user.user_id, + ) + if not conversation: + raise HTTPException(status_code=404, detail="Conversation not found") + + active_transcript = conversation.active_transcript + if not active_transcript: + raise HTTPException(status_code=400, detail="No active transcript found") + + segment_count = len(active_transcript.segments) + if annotation_data.insert_after_index < -1 or annotation_data.insert_after_index >= segment_count: + raise HTTPException( + status_code=400, + detail=f"insert_after_index must be between -1 and {segment_count - 1}", + ) + + if annotation_data.insert_segment_type not in ("event", "note", "speech"): + raise HTTPException( + status_code=400, + detail="insert_segment_type must be 'event', 'note', or 'speech'", + ) + + annotation = Annotation( + annotation_type=AnnotationType.INSERT, + user_id=current_user.user_id, + conversation_id=annotation_data.conversation_id, + insert_after_index=annotation_data.insert_after_index, + insert_text=annotation_data.insert_text, + insert_segment_type=annotation_data.insert_segment_type, + insert_speaker=annotation_data.insert_speaker, + status=AnnotationStatus.PENDING, + processed=False, + ) + await annotation.save() + logger.info( + f"Created insert annotation {annotation.id} for conversation " + f"{annotation_data.conversation_id} after index {annotation_data.insert_after_index}" + ) + + return AnnotationResponse.model_validate(annotation) + + except HTTPException: + raise + except Exception as e: + logger.error(f"Error creating insert annotation: {e}", exc_info=True) + raise HTTPException( + status_code=500, + detail=f"Failed to create insert annotation: {str(e)}", + ) + + +@router.get("/insert/{conversation_id}", response_model=List[AnnotationResponse]) +async def get_insert_annotations( + conversation_id: str, + current_user: User = Depends(current_active_user), +): + """Get all insert annotations for a conversation.""" + try: + annotations = await Annotation.find( + Annotation.annotation_type == AnnotationType.INSERT, + Annotation.conversation_id == conversation_id, + Annotation.user_id == current_user.user_id, + ).to_list() + + return [AnnotationResponse.model_validate(a) for a in annotations] + + except Exception as e: + logger.error(f"Error fetching insert annotations: {e}", exc_info=True) + raise HTTPException( + status_code=500, + detail=f"Failed to fetch insert annotations: {str(e)}", + ) + + # === Entity Annotation Routes === @@ -410,6 +612,92 @@ async def get_entity_annotations( ) +# === Title Annotation Routes === + + +@router.post("/title", response_model=AnnotationResponse) +async def create_title_annotation( + annotation_data: TitleAnnotationCreate, + current_user: User = Depends(current_active_user), +): + """ + Create annotation for conversation title edit. + + - Validates user owns conversation + - Creates annotation record (instantly applied) + - Updates conversation title immediately + """ + try: + # Verify conversation ownership + conversation = await Conversation.find_one( + Conversation.conversation_id == annotation_data.conversation_id, + Conversation.user_id == current_user.user_id, + ) + if not conversation: + raise HTTPException(status_code=404, detail="Conversation not found") + + # Create annotation (instantly applied) + annotation = Annotation( + annotation_type=AnnotationType.TITLE, + user_id=current_user.user_id, + conversation_id=annotation_data.conversation_id, + original_text=annotation_data.original_text, + corrected_text=annotation_data.corrected_text, + status=AnnotationStatus.ACCEPTED, + processed=True, + processed_at=datetime.now(timezone.utc), + processed_by="instant", + ) + await annotation.save() + logger.info( + f"Created title annotation {annotation.id} for conversation {annotation_data.conversation_id}" + ) + + # Apply title change immediately + try: + conversation.title = annotation_data.corrected_text + await conversation.save() + logger.info(f"Updated title for conversation {annotation_data.conversation_id}") + except Exception as e: + logger.error(f"Error updating conversation title: {e}") + # Annotation is saved but title update failed โ€” log but don't fail the request + + return AnnotationResponse.model_validate(annotation) + + except HTTPException: + raise + except Exception as e: + logger.error(f"Error creating title annotation: {e}", exc_info=True) + raise HTTPException( + status_code=500, + detail=f"Failed to create title annotation: {str(e)}", + ) + + +@router.get("/title/{conversation_id}", response_model=List[AnnotationResponse]) +async def get_title_annotations( + conversation_id: str, + current_user: User = Depends(current_active_user), +): + """Get all title annotations for a conversation (audit trail).""" + try: + annotations = await Annotation.find( + Annotation.annotation_type == AnnotationType.TITLE, + Annotation.conversation_id == conversation_id, + Annotation.user_id == current_user.user_id, + ).to_list() + + return [AnnotationResponse.model_validate(a) for a in annotations] + + except Exception as e: + logger.error(f"Error fetching title annotations: {e}", exc_info=True) + raise HTTPException( + status_code=500, + detail=f"Failed to fetch title annotations: {str(e)}", + ) + + + # === Diarization Annotation Routes === @@ -542,13 +830,16 @@ async def apply_diarization_annotations( new_version_id = str(uuid.uuid4()) - # Copy segments and apply corrections + # Copy segments and apply corrections (most recent annotation wins) corrected_segments = [] for segment_idx, segment in enumerate(active_transcript.segments): - # Find annotation for this segment index - annotation_for_segment = next( - (a for a in annotations if a.segment_index == segment_idx), None + # Find annotation for this segment index (most recent wins if duplicates) + annotations_for_segment = sorted( + [a for a in annotations if a.segment_index == segment_idx], + key=lambda a: a.updated_at, + reverse=True, ) + annotation_for_segment = annotations_for_segment[0] if annotations_for_segment else None if annotation_for_segment: # Apply correction @@ -662,6 +953,9 @@ async def apply_all_annotations( transcript_annotations = [ a for a in annotations if a.annotation_type == AnnotationType.TRANSCRIPT ] + insert_annotations = [ + a for a in annotations if a.annotation_type == AnnotationType.INSERT + ] # Get active transcript active_transcript = conversation.active_transcript @@ -674,25 +968,59 @@ async def apply_all_annotations( new_version_id = str(uuid.uuid4()) corrected_segments = [] + # For diarization/transcript: if multiple annotations exist for same segment, + # pick the most recently updated one for segment_idx, segment in enumerate(active_transcript.segments): corrected_segment = segment.model_copy() - # Apply diarization correction (if exists) - diar_annotation = next( - (a for a in diarization_annotations if a.segment_index == segment_idx), None + # Apply diarization correction (most recent wins) + diar_for_segment = sorted( + [a for a in diarization_annotations if a.segment_index == segment_idx], + key=lambda a: a.updated_at, + reverse=True, ) - if diar_annotation: - corrected_segment.speaker = diar_annotation.corrected_speaker - - # Apply transcript correction (if exists) - transcript_annotation = next( - (a for a in transcript_annotations if a.segment_index == segment_idx), None + if diar_for_segment: + corrected_segment.speaker = diar_for_segment[0].corrected_speaker + + # Apply transcript correction (most recent wins) + transcript_for_segment = sorted( + [a for a in transcript_annotations if a.segment_index == segment_idx], + key=lambda a: a.updated_at, + reverse=True, ) - if transcript_annotation: - corrected_segment.text = transcript_annotation.corrected_text + if transcript_for_segment: + corrected_segment.text = transcript_for_segment[0].corrected_text corrected_segments.append(corrected_segment) + # Apply inserts from highest index to lowest (stable indexing) + if insert_annotations: + sorted_inserts = sorted( + insert_annotations, + key=lambda a: a.insert_after_index, + reverse=True, + ) + for ins in sorted_inserts: + idx = ins.insert_after_index # -1 = before first + insert_pos = idx + 1 # Convert to list insertion position + + # Calculate timing from surrounding segments + if insert_pos > 0 and insert_pos <= len(corrected_segments): + boundary_time = corrected_segments[insert_pos - 1].end + elif insert_pos == 0 and corrected_segments: + boundary_time = corrected_segments[0].start + else: + boundary_time = 0.0 + + new_segment = Conversation.SpeakerSegment( + start=boundary_time, + end=boundary_time, + text=ins.insert_text or "", + speaker=ins.insert_speaker or "", + segment_type=ins.insert_segment_type or "event", + ) + corrected_segments.insert(insert_pos, new_segment) + # Add new version conversation.add_transcript_version( version_id=new_version_id, @@ -707,13 +1035,17 @@ async def apply_all_annotations( "trigger": "manual_annotation_apply", "diarization_count": len(diarization_annotations), "transcript_count": len(transcript_annotations), + "insert_count": len(insert_annotations), }, set_as_active=True, ) await conversation.save() logger.info( - f"Applied {len(annotations)} annotations (diarization: {len(diarization_annotations)}, transcript: {len(transcript_annotations)})" + f"Applied {len(annotations)} annotations " + f"(diarization: {len(diarization_annotations)}, " + f"transcript: {len(transcript_annotations)}, " + f"insert: {len(insert_annotations)})" ) # Mark all annotations as processed @@ -735,10 +1067,15 @@ async def apply_all_annotations( return JSONResponse( content={ - "message": f"Applied {len(diarization_annotations)} diarization and {len(transcript_annotations)} transcript annotations", + "message": ( + f"Applied {len(diarization_annotations)} diarization, " + f"{len(transcript_annotations)} transcript, and " + f"{len(insert_annotations)} insert annotations" + ), "version_id": new_version_id, "diarization_count": len(diarization_annotations), "transcript_count": len(transcript_annotations), + "insert_count": len(insert_annotations), "status": "success", } ) diff --git a/backends/advanced/src/advanced_omi_backend/routers/modules/audio_routes.py b/backends/advanced/src/advanced_omi_backend/routers/modules/audio_routes.py index 94a57e1e..fd1c659f 100644 --- a/backends/advanced/src/advanced_omi_backend/routers/modules/audio_routes.py +++ b/backends/advanced/src/advanced_omi_backend/routers/modules/audio_routes.py @@ -6,6 +6,7 @@ """ import io +import re from typing import Optional from fastapi import APIRouter, Depends, File, HTTPException, Query, Request, UploadFile @@ -34,6 +35,18 @@ router = APIRouter(prefix="/audio", tags=["audio"]) +def _safe_filename(conversation: "Conversation") -> str: + """Build a filesystem-safe filename from the conversation title, falling back to ID.""" + title = conversation.title + if not title: + return conversation.conversation_id + # Replace anything that isn't alphanumeric, space, hyphen, or underscore + safe = re.sub(r"[^\w\s-]", "", title).strip() + # Collapse whitespace to single underscore + safe = re.sub(r"\s+", "_", safe) + return safe[:120] or conversation.conversation_id + + @router.post("/upload_audio_from_gdrive") async def upload_audio_from_drive_folder( gdrive_folder_id: str = Query(..., description="Google Drive Folder ID containing audio files (e.g., the string after /folders/ in the URL)"), @@ -117,6 +130,7 @@ async def get_conversation_audio( # Handle Range requests for seeking support file_size = len(wav_data) range_header = request.headers.get("range") + filename = _safe_filename(conversation) # If no Range header, return complete file if not range_header: @@ -124,7 +138,7 @@ async def get_conversation_audio( io.BytesIO(wav_data), media_type="audio/wav", headers={ - "Content-Disposition": f"inline; filename={conversation_id}.wav", + "Content-Disposition": f'inline; filename="{filename}.wav"', "Content-Length": str(file_size), "Accept-Ranges": "bytes", "X-Audio-Source": "mongodb-chunks", @@ -156,7 +170,7 @@ async def get_conversation_audio( "Content-Range": f"bytes {range_start}-{range_end}/{file_size}", "Content-Length": str(content_length), "Accept-Ranges": "bytes", - "Content-Disposition": f"inline; filename={conversation_id}.wav", + "Content-Disposition": f'inline; filename="{filename}.wav"', "X-Audio-Source": "mongodb-chunks", } ) @@ -269,11 +283,12 @@ async def stream_chunks(): # Move to next batch start_index += batch_size + filename = _safe_filename(conversation) return StreamingResponse( stream_chunks(), media_type="audio/wav", headers={ - "Content-Disposition": f"inline; filename={conversation_id}_stream.wav", + "Content-Disposition": f'inline; filename="{filename}.wav"', "X-Audio-Source": "mongodb-chunks-stream", "X-Chunk-Count": str(conversation.audio_chunks_count or 0), "X-Total-Duration": str(conversation.audio_total_duration or 0), diff --git a/backends/advanced/src/advanced_omi_backend/routers/modules/conversation_routes.py b/backends/advanced/src/advanced_omi_backend/routers/modules/conversation_routes.py index c4424904..b094a41c 100644 --- a/backends/advanced/src/advanced_omi_backend/routers/modules/conversation_routes.py +++ b/backends/advanced/src/advanced_omi_backend/routers/modules/conversation_routes.py @@ -41,6 +41,18 @@ async def get_conversations( return await conversation_controller.get_conversations(current_user, include_deleted, include_unprocessed, limit, offset) + +@router.get("/search") +async def search_conversations( + q: str = Query(..., min_length=1, description="Text search query"), + limit: int = Query(50, ge=1, le=200, description="Max results to return"), + offset: int = Query(0, ge=0, description="Number of results to skip"), + current_user: User = Depends(current_active_user), +): + """Full-text search across conversation titles, summaries, and transcripts.""" + return await conversation_controller.search_conversations(q, current_user, limit, offset) + + @router.get("/{conversation_id}") async def get_conversation_detail( conversation_id: str, @@ -50,6 +62,18 @@ async def get_conversation_detail( return await conversation_controller.get_conversation(conversation_id, current_user) +@router.get("/{conversation_id}/memories") +async def get_conversation_memories( + conversation_id: str, + limit: int = Query(100, ge=1, le=500, description="Max memories to return"), + current_user: User = Depends(current_active_user), +): + """Get memories extracted from a specific conversation.""" + return await conversation_controller.get_conversation_memories( + conversation_id, current_user, limit + ) + + # New reprocessing endpoints @router.post("/{conversation_id}/reprocess-orphan") async def reprocess_orphan( diff --git a/backends/advanced/src/advanced_omi_backend/routers/modules/finetuning_routes.py b/backends/advanced/src/advanced_omi_backend/routers/modules/finetuning_routes.py index 72c271b6..7abb8bbd 100644 --- a/backends/advanced/src/advanced_omi_backend/routers/modules/finetuning_routes.py +++ b/backends/advanced/src/advanced_omi_backend/routers/modules/finetuning_routes.py @@ -212,6 +212,32 @@ async def process_annotations_for_training( ) +@router.post("/export-asr-dataset") +async def export_asr_dataset( + current_user: User = Depends(current_active_user), +): + """ + Manually trigger ASR fine-tuning data export. + + Finds applied transcript/diarization annotations not yet consumed by ASR training, + reconstructs audio, builds VibeVoice training labels, and POSTs to the ASR service. + + Returns: + Export job results with counts of conversations exported and annotations consumed. + """ + if not current_user.is_superuser: + raise HTTPException(status_code=403, detail="Only administrators can trigger ASR dataset export") + + try: + from advanced_omi_backend.workers.finetuning_jobs import run_asr_finetuning_job + + result = await run_asr_finetuning_job() + return JSONResponse(content=result) + except Exception as e: + logger.error(f"ASR dataset export failed: {e}", exc_info=True) + raise HTTPException(status_code=500, detail=f"ASR dataset export failed: {str(e)}") + + @router.get("/status") async def get_finetuning_status( current_user: User = Depends(current_active_user), diff --git a/backends/advanced/src/advanced_omi_backend/routers/modules/health_routes.py b/backends/advanced/src/advanced_omi_backend/routers/modules/health_routes.py index cd11c6ff..cd4bff97 100644 --- a/backends/advanced/src/advanced_omi_backend/routers/modules/health_routes.py +++ b/backends/advanced/src/advanced_omi_backend/routers/modules/health_routes.py @@ -307,42 +307,6 @@ async def health_check(): "provider": "openmemory_mcp", "critical": False, } - elif memory_provider == "mycelia": - # Mycelia memory service check - try: - # Test Mycelia memory service connection with timeout - test_success = await asyncio.wait_for(memory_service.test_connection(), timeout=8.0) - if test_success: - health_status["services"]["memory_service"] = { - "status": "โœ… Mycelia Memory Connected", - "healthy": True, - "provider": "mycelia", - "critical": False, - } - else: - health_status["services"]["memory_service"] = { - "status": "โš ๏ธ Mycelia Memory Test Failed", - "healthy": False, - "provider": "mycelia", - "critical": False, - } - overall_healthy = False - except asyncio.TimeoutError: - health_status["services"]["memory_service"] = { - "status": "โš ๏ธ Mycelia Memory Timeout (8s) - Check Mycelia service", - "healthy": False, - "provider": "mycelia", - "critical": False, - } - overall_healthy = False - except Exception as e: - health_status["services"]["memory_service"] = { - "status": f"โš ๏ธ Mycelia Memory Failed: {str(e)}", - "healthy": False, - "provider": "mycelia", - "critical": False, - } - overall_healthy = False else: health_status["services"]["memory_service"] = { "status": f"โŒ Unknown memory provider: {memory_provider}", diff --git a/backends/advanced/src/advanced_omi_backend/routers/modules/queue_routes.py b/backends/advanced/src/advanced_omi_backend/routers/modules/queue_routes.py index ff3d460a..4410665a 100644 --- a/backends/advanced/src/advanced_omi_backend/routers/modules/queue_routes.py +++ b/backends/advanced/src/advanced_omi_backend/routers/modules/queue_routes.py @@ -345,6 +345,70 @@ async def get_events( return {"events": [], "total": 0} +@router.delete("/jobs") +async def clear_jobs( + current_user: User = Depends(current_active_user), +): + """Clear all finished and failed jobs from all queues (admin only).""" + if not current_user.is_superuser: + raise HTTPException(status_code=403, detail="Admin access required") + + try: + from rq.registry import FailedJobRegistry, FinishedJobRegistry + + from advanced_omi_backend.controllers.queue_controller import get_queue + + total_removed = 0 + + for queue_name in QUEUE_NAMES: + queue = get_queue(queue_name) + + for registry_name, registry in [ + ("finished", FinishedJobRegistry(queue=queue)), + ("failed", FailedJobRegistry(queue=queue)), + ]: + job_ids = list(registry.get_job_ids()) + for job_id in job_ids: + try: + job = Job.fetch(job_id, connection=redis_conn) + job.delete() + total_removed += 1 + except Exception: + try: + registry.remove(job_id) + total_removed += 1 + except Exception: + pass + + return {"deleted": total_removed} + except Exception as e: + logger.error(f"Failed to clear jobs: {e}") + raise HTTPException(status_code=500, detail=f"Failed to clear jobs: {str(e)}") + + +@router.delete("/events") +async def clear_events( + current_user: User = Depends(current_active_user), +): + """Clear all system events from the event log (admin only).""" + if not current_user.is_superuser: + raise HTTPException(status_code=403, detail="Admin access required") + + try: + from advanced_omi_backend.services.plugin_service import get_plugin_router + + router_instance = get_plugin_router() + if not router_instance: + return {"deleted": 0} + + count = router_instance.clear_events() + return {"deleted": count} + except Exception as e: + logger.error(f"Failed to clear events: {e}") + raise HTTPException(status_code=500, detail=f"Failed to clear events: {str(e)}") + + + @router.get("/stats") async def get_queue_stats_endpoint( current_user: User = Depends(current_active_user) diff --git a/backends/advanced/src/advanced_omi_backend/routers/modules/system_routes.py b/backends/advanced/src/advanced_omi_backend/routers/modules/system_routes.py index 759f15c6..0d2b7431 100644 --- a/backends/advanced/src/advanced_omi_backend/routers/modules/system_routes.py +++ b/backends/advanced/src/advanced_omi_backend/routers/modules/system_routes.py @@ -4,11 +4,12 @@ Handles metrics, auth config, and other system utilities. """ +import json import logging from typing import Optional from fastapi import APIRouter, Body, Depends, HTTPException, Request -from fastapi.responses import JSONResponse, Response +from fastapi.responses import JSONResponse, Response, StreamingResponse from pydantic import BaseModel from advanced_omi_backend.auth import current_active_user, current_superuser @@ -18,6 +19,7 @@ system_controller, ) from advanced_omi_backend.models.user import User +from advanced_omi_backend.services import plugin_assistant logger = logging.getLogger(__name__) @@ -127,6 +129,32 @@ async def get_speaker_service_status(current_user: User = Depends(current_superu return await system_controller.get_speaker_service_status() +# LLM Operations Configuration Endpoints + +@router.get("/admin/llm-operations") +async def get_llm_operations(current_user: User = Depends(current_superuser)): + """Get LLM operation configurations. Admin only.""" + return await system_controller.get_llm_operations() + + +@router.post("/admin/llm-operations") +async def save_llm_operations( + operations: dict, + current_user: User = Depends(current_superuser) +): + """Save LLM operation configurations. Admin only.""" + return await system_controller.save_llm_operations(operations) + + +@router.post("/admin/llm-operations/test") +async def test_llm_model( + model_name: Optional[str] = Body(None, embed=True), + current_user: User = Depends(current_superuser) +): + """Test an LLM model connection with a trivial prompt. Admin only.""" + return await system_controller.test_llm_model(model_name) + + # Memory Configuration Management Endpoints Removed - Project uses config.yml exclusively @router.get("/admin/memory/config/raw") async def get_memory_config_raw(current_user: User = Depends(current_superuser)): @@ -268,6 +296,69 @@ async def validate_plugins_config( # Structured Plugin Configuration Endpoints (Form-based UI) +@router.post("/admin/plugins/reload") +async def reload_plugins( + request: Request, + current_user: User = Depends(current_superuser), +): + """Hot-reload all plugins and signal workers to restart. Admin only. + + Reloads plugin code and configuration without a full container restart. + Workers are signaled asynchronously via Redis and will restart after + finishing their current job. + """ + try: + result = await system_controller.reload_plugins_controller(app=request.app) + return JSONResponse(content=result) + except Exception as e: + logger.error(f"Failed to reload plugins: {e}") + raise HTTPException(status_code=500, detail=str(e)) + + +@router.post("/admin/system/restart-workers") +async def restart_workers(current_user: User = Depends(current_superuser)): + """Signal all RQ workers to gracefully restart. Admin only. + + Workers finish their current job before restarting. Safe to run anytime. + """ + try: + result = await system_controller.restart_workers() + return JSONResponse(content=result, status_code=202) + except Exception as e: + logger.error(f"Failed to restart workers: {e}") + raise HTTPException(status_code=500, detail=str(e)) + + +@router.post("/admin/system/restart-backend") +async def restart_backend(current_user: User = Depends(current_superuser)): + """Schedule a backend restart. Admin only. + + Sends SIGTERM to the FastAPI process after a short delay. + Docker will automatically restart the container. + Active WebSocket connections will be dropped. + """ + try: + result = await system_controller.restart_backend() + return JSONResponse(content=result, status_code=202) + except Exception as e: + logger.error(f"Failed to schedule backend restart: {e}") + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("/admin/plugins/health") +async def get_plugins_health(current_user: User = Depends(current_superuser)): + """Get plugin health status for all registered plugins. Admin only.""" + try: + from advanced_omi_backend.services.plugin_service import get_plugin_router + plugin_router = get_plugin_router() + if not plugin_router: + return {"total": 0, "initialized": 0, "failed": 0, "registered": 0, "plugins": []} + return plugin_router.get_health_summary() + except Exception as e: + logger.error(f"Failed to get plugins health: {e}") + raise HTTPException(status_code=500, detail=str(e)) + + @router.get("/admin/plugins/metadata") async def get_plugins_metadata(current_user: User = Depends(current_superuser)): """Get plugin metadata for form-based configuration UI. Admin only. @@ -292,6 +383,25 @@ class PluginConfigRequest(BaseModel): env_vars: Optional[dict] = None +class CreatePluginRequest(BaseModel): + """Request model for creating a new plugin.""" + plugin_name: str + description: str + events: list[str] = [] + plugin_code: Optional[str] = None + + +class WritePluginCodeRequest(BaseModel): + """Request model for writing plugin code.""" + code: str + config_yml: Optional[str] = None + + +class PluginAssistantRequest(BaseModel): + """Request model for plugin assistant chat.""" + messages: list[dict] + + @router.post("/admin/plugins/config/structured/{plugin_id}") async def update_plugin_config_structured( plugin_id: str, @@ -338,6 +448,101 @@ async def test_plugin_connection( raise HTTPException(status_code=500, detail=str(e)) +@router.post("/admin/plugins/create") +async def create_plugin( + request: CreatePluginRequest, + current_user: User = Depends(current_superuser), +): + """Create a new plugin with boilerplate or LLM-generated code. Admin only.""" + try: + result = await system_controller.create_plugin( + plugin_name=request.plugin_name, + description=request.description, + events=request.events, + plugin_code=request.plugin_code, + ) + if not result.get("success"): + raise HTTPException(status_code=400, detail=result.get("error", "Unknown error")) + return JSONResponse(content=result) + except HTTPException: + raise + except Exception as e: + logger.error(f"Failed to create plugin: {e}") + raise HTTPException(status_code=500, detail=str(e)) + + +@router.put("/admin/plugins/{plugin_id}/code") +async def write_plugin_code( + plugin_id: str, + request: WritePluginCodeRequest, + current_user: User = Depends(current_superuser), +): + """Write or update plugin code. Admin only.""" + try: + result = await system_controller.write_plugin_code( + plugin_id=plugin_id, + code=request.code, + config_yml=request.config_yml, + ) + if not result.get("success"): + raise HTTPException(status_code=400, detail=result.get("error", "Unknown error")) + return JSONResponse(content=result) + except HTTPException: + raise + except Exception as e: + logger.error(f"Failed to write plugin code: {e}") + raise HTTPException(status_code=500, detail=str(e)) + + +@router.delete("/admin/plugins/{plugin_id}") +async def delete_plugin( + plugin_id: str, + remove_files: bool = False, + current_user: User = Depends(current_superuser), +): + """Delete a plugin from plugins.yml and optionally remove files. Admin only.""" + try: + result = await system_controller.delete_plugin( + plugin_id=plugin_id, + remove_files=remove_files, + ) + if not result.get("success"): + raise HTTPException(status_code=400, detail=result.get("error", "Unknown error")) + return JSONResponse(content=result) + except HTTPException: + raise + except Exception as e: + logger.error(f"Failed to delete plugin: {e}") + raise HTTPException(status_code=500, detail=str(e)) + + +@router.post("/admin/plugins/assistant") +async def plugin_assistant_chat( + body: PluginAssistantRequest, + current_user: User = Depends(current_superuser), +): + """AI-powered plugin configuration assistant. Admin only. Returns SSE stream.""" + messages = body.messages + + async def event_stream(): + try: + async for event in plugin_assistant.generate_response_stream(messages): + yield f"data: {json.dumps(event, default=str)}\n\n" + yield "data: [DONE]\n\n" + except Exception as e: + logger.error(f"Plugin assistant error: {e}") + yield f"data: {json.dumps({'type': 'error', 'data': {'error': str(e)}})}\n\n" + + return StreamingResponse( + event_stream(), + media_type="text/event-stream", + headers={ + "Cache-Control": "no-cache", + "Connection": "keep-alive", + }, + ) + + @router.get("/streaming/status") async def get_streaming_status(request: Request, current_user: User = Depends(current_superuser)): """Get status of active streaming sessions and Redis Streams health. Admin only.""" diff --git a/backends/advanced/src/advanced_omi_backend/services/knowledge_graph/entity_extractor.py b/backends/advanced/src/advanced_omi_backend/services/knowledge_graph/entity_extractor.py index d2a9d0ad..a12cd540 100644 --- a/backends/advanced/src/advanced_omi_backend/services/knowledge_graph/entity_extractor.py +++ b/backends/advanced/src/advanced_omi_backend/services/knowledge_graph/entity_extractor.py @@ -82,21 +82,12 @@ Only return valid JSON, no additional text.""" -def _get_llm_client(): - """Get async OpenAI client from model registry.""" +def _get_entity_extraction_op(): + """Get resolved LLM operation config for entity extraction.""" registry = get_models_registry() if not registry: raise RuntimeError("Model registry not configured") - - llm_def = registry.get_default("llm") - if not llm_def: - raise RuntimeError("No default LLM defined in config.yml") - - return create_openai_client( - api_key=llm_def.api_key or "", - base_url=llm_def.model_url, - is_async=True, - ), llm_def + return registry.get_llm_operation("entity_extraction") async def extract_entities_from_transcript( @@ -121,22 +112,20 @@ async def extract_entities_from_transcript( try: from advanced_omi_backend.prompt_registry import get_prompt_registry - client, llm_def = _get_llm_client() + op = _get_entity_extraction_op() if custom_prompt: prompt = custom_prompt else: registry = get_prompt_registry() prompt = await registry.get_prompt("knowledge_graph.entity_extraction") + client = op.get_client(is_async=True) response = await client.chat.completions.create( - model=llm_def.model_name, + **op.to_api_params(), messages=[ {"role": "system", "content": prompt}, {"role": "user", "content": transcript}, ], - temperature=0.1, - max_tokens=2000, - response_format={"type": "json_object"}, ) content = (response.choices[0].message.content or "").strip() diff --git a/backends/advanced/src/advanced_omi_backend/services/memory/__init__.py b/backends/advanced/src/advanced_omi_backend/services/memory/__init__.py index 1b777028..df2e5c8b 100644 --- a/backends/advanced/src/advanced_omi_backend/services/memory/__init__.py +++ b/backends/advanced/src/advanced_omi_backend/services/memory/__init__.py @@ -1,7 +1,7 @@ """Memory service package. This package provides memory management functionality with support for -multiple memory providers (Chronicle, Mycelia, OpenMemory MCP). +multiple memory providers (Chronicle, OpenMemory MCP). The memory service handles extraction, storage, and retrieval of memories from user conversations and interactions. @@ -11,7 +11,6 @@ - config.py: Configuration management - service_factory.py: Provider selection and instantiation - providers/chronicle.py: Chronicle native provider (LLM + Qdrant) -- providers/mycelia.py: Mycelia backend provider - providers/openmemory_mcp.py: OpenMemory MCP provider - providers/llm_providers.py: LLM implementations (OpenAI, Ollama) - providers/vector_stores.py: Vector store implementations (Qdrant) diff --git a/backends/advanced/src/advanced_omi_backend/services/memory/base.py b/backends/advanced/src/advanced_omi_backend/services/memory/base.py index 277a92f8..ce0fe22b 100644 --- a/backends/advanced/src/advanced_omi_backend/services/memory/base.py +++ b/backends/advanced/src/advanced_omi_backend/services/memory/base.py @@ -76,7 +76,7 @@ class MemoryServiceBase(ABC): @property @abstractmethod def provider_identifier(self) -> str: - """Return the provider identifier (e.g., 'chronicle', 'openmemory_mcp', 'mycelia').""" + """Return the provider identifier (e.g., 'chronicle', 'openmemory_mcp').""" ... @abstractmethod @@ -205,6 +205,25 @@ async def update_memory( """ return False + async def get_memories_by_source( + self, user_id: str, source_id: str, limit: int = 100 + ) -> List[MemoryEntry]: + """Get all memories extracted from a specific source (conversation). + + This is an optional method that providers can implement for fetching + memories linked to a particular conversation/source. Returns empty list + by default. + + Args: + user_id: User identifier + source_id: Source/conversation identifier + limit: Maximum number of memories to return + + Returns: + List of MemoryEntry objects for the specified source + """ + return [] + async def reprocess_memory( self, transcript: str, @@ -252,8 +271,8 @@ async def delete_memory( Args: memory_id: Unique identifier of the memory to delete - user_id: Optional user ID for authentication (required for Mycelia provider) - user_email: Optional user email for authentication (required for Mycelia provider) + user_id: Optional user ID for authentication + user_email: Optional user email for authentication Returns: True if successfully deleted, False otherwise @@ -321,12 +340,15 @@ class LLMProviderBase(ABC): """ @abstractmethod - async def extract_memories(self, text: str, prompt: str) -> List[str]: + async def extract_memories( + self, text: str, prompt: str, user_id: Optional[str] = None, + ) -> List[str]: """Extract meaningful fact memories from text using an LLM. Args: text: Input text to extract memories from prompt: System prompt to guide the extraction process + user_id: Optional user ID for per-user prompt override resolution Returns: List of extracted fact memory strings diff --git a/backends/advanced/src/advanced_omi_backend/services/memory/config.py b/backends/advanced/src/advanced_omi_backend/services/memory/config.py index 55ffe690..83070706 100644 --- a/backends/advanced/src/advanced_omi_backend/services/memory/config.py +++ b/backends/advanced/src/advanced_omi_backend/services/memory/config.py @@ -35,7 +35,6 @@ class MemoryProvider(Enum): CHRONICLE = "chronicle" # Default sophisticated implementation OPENMEMORY_MCP = "openmemory_mcp" # OpenMemory MCP backend - MYCELIA = "mycelia" # Mycelia memory backend @dataclass @@ -49,7 +48,6 @@ class MemoryConfig: vector_store_config: Dict[str, Any] = None embedder_config: Dict[str, Any] = None openmemory_config: Dict[str, Any] = None # Configuration for OpenMemory MCP - mycelia_config: Dict[str, Any] = None # Configuration for Mycelia extraction_prompt: str = None extraction_enabled: bool = True timeout_seconds: int = 1200 @@ -94,20 +92,6 @@ def create_openmemory_config( } -def create_mycelia_config( - api_url: str = "http://localhost:8080", api_key: str = None, timeout: int = 30, **kwargs -) -> Dict[str, Any]: - """Create Mycelia configuration.""" - config = { - "api_url": api_url, - "timeout": timeout, - } - if api_key: - config["api_key"] = api_key - config.update(kwargs) - return config - - def create_openai_config( api_key: str, model: str, @@ -181,43 +165,6 @@ def build_memory_config_from_env() -> MemoryConfig: timeout_seconds=int(mem_settings.get("timeout_seconds", 1200)), ) - # For Mycelia provider, build mycelia_config + llm_config (for temporal extraction) - if memory_provider_enum == MemoryProvider.MYCELIA: - # Registry-driven Mycelia configuration - mys = mem_settings.get("mycelia") or {} - api_url = mys.get("api_url", "http://localhost:5173") - timeout = int(mys.get("timeout", 30)) - mycelia_config = create_mycelia_config(api_url=api_url, timeout=timeout) - - # Use default LLM from registry for temporal extraction - llm_config = None - if reg: - llm_def = reg.get_default("llm") - if llm_def: - llm_config = create_openai_config( - api_key=llm_def.api_key or "", - model=llm_def.model_name, - base_url=llm_def.model_url, - ) - memory_logger.info( - f"๐Ÿ”ง Mycelia temporal extraction (registry): LLM={llm_def.model_name}" - ) - else: - memory_logger.warning( - "Registry not available for Mycelia temporal extraction; disabled" - ) - - memory_logger.info( - f"๐Ÿ”ง Memory config: Provider=Mycelia, URL={mycelia_config['api_url']}" - ) - - return MemoryConfig( - memory_provider=memory_provider_enum, - mycelia_config=mycelia_config, - llm_config=llm_config, - timeout_seconds=int(mem_settings.get("timeout_seconds", timeout)), - ) - # For Chronicle provider, use registry-driven configuration # Registry-driven configuration only (no env-based branching) diff --git a/backends/advanced/src/advanced_omi_backend/services/memory/providers/__init__.py b/backends/advanced/src/advanced_omi_backend/services/memory/providers/__init__.py index 7a46dd33..bf7175a2 100644 --- a/backends/advanced/src/advanced_omi_backend/services/memory/providers/__init__.py +++ b/backends/advanced/src/advanced_omi_backend/services/memory/providers/__init__.py @@ -3,7 +3,6 @@ This package contains all memory service provider implementations: - chronicle: Chronicle native implementation with LLM + vector store - openmemory_mcp: OpenMemory MCP backend integration -- mycelia: Mycelia backend integration - llm_providers: LLM provider implementations (OpenAI, Ollama) - vector_stores: Vector store implementations (Qdrant) - mcp_client: MCP client utilities @@ -12,14 +11,12 @@ from .chronicle import MemoryService as ChronicleMemoryService from .llm_providers import OpenAIProvider from .mcp_client import MCPClient, MCPError -from .mycelia import MyceliaMemoryService from .openmemory_mcp import OpenMemoryMCPService from .vector_stores import QdrantVectorStore __all__ = [ "ChronicleMemoryService", "OpenMemoryMCPService", - "MyceliaMemoryService", "OpenAIProvider", "QdrantVectorStore", "MCPClient", diff --git a/backends/advanced/src/advanced_omi_backend/services/memory/providers/chronicle.py b/backends/advanced/src/advanced_omi_backend/services/memory/providers/chronicle.py index 7d9eecc4..abfb7bb5 100644 --- a/backends/advanced/src/advanced_omi_backend/services/memory/providers/chronicle.py +++ b/backends/advanced/src/advanced_omi_backend/services/memory/providers/chronicle.py @@ -154,7 +154,9 @@ async def add_memory( fact_memories_text = [] if self.config.extraction_enabled and self.config.extraction_prompt: fact_memories_text = await asyncio.wait_for( - self.llm_provider.extract_memories(transcript, self.config.extraction_prompt), + self.llm_provider.extract_memories( + transcript, self.config.extraction_prompt, user_id=user_id, + ), timeout=self.config.timeout_seconds, ) memory_logger.info( @@ -313,6 +315,23 @@ async def count_memories(self, user_id: str) -> Optional[int]: memory_logger.error(f"Count memories failed: {e}") return None + async def get_memories_by_source( + self, user_id: str, source_id: str, limit: int = 100 + ) -> List[MemoryEntry]: + """Get all memories extracted from a specific source (conversation).""" + if not self._initialized: + await self.initialize() + + try: + memories = await self.vector_store.get_memories_by_source(user_id, source_id, limit) + memory_logger.info( + f"๐Ÿ“š Retrieved {len(memories)} memories for source {source_id} (user {user_id})" + ) + return memories + except Exception as e: + memory_logger.error(f"Get memories by source failed: {e}") + return [] + async def get_memory( self, memory_id: str, user_id: Optional[str] = None ) -> Optional[MemoryEntry]: diff --git a/backends/advanced/src/advanced_omi_backend/services/memory/providers/llm_providers.py b/backends/advanced/src/advanced_omi_backend/services/memory/providers/llm_providers.py index a3f68c5f..25afc38a 100644 --- a/backends/advanced/src/advanced_omi_backend/services/memory/providers/llm_providers.py +++ b/backends/advanced/src/advanced_omi_backend/services/memory/providers/llm_providers.py @@ -148,19 +148,19 @@ def __init__(self, config: Dict[str, Any]): if not registry: raise RuntimeError("config.yml not found or invalid; cannot initialize model registry") - # Resolve default models + self._registry = registry + + # Resolve default models (still needed for embeddings and API key validation) self.llm_def: ModelDef = registry.get_default("llm") # type: ignore self.embed_def: ModelDef | None = registry.get_default("embedding") if not self.llm_def: raise RuntimeError("No default LLM defined in config.yml") - # Store parameters for LLM + # Store parameters for LLM (used by embeddings and connection test) self.api_key = self.llm_def.api_key or "" self.base_url = self.llm_def.model_url self.model = self.llm_def.model_name - self.temperature = float(self.llm_def.model_params.get("temperature", 0.1)) - self.max_tokens = int(self.llm_def.model_params.get("max_tokens", 2000)) # Store parameters for embeddings (use separate config if available) self.embedding_model = (self.embed_def.model_name if self.embed_def else self.llm_def.model_name) @@ -184,12 +184,15 @@ def __init__(self, config: Dict[str, Any]): # Lazy client creation self._client = None - async def extract_memories(self, text: str, prompt: str) -> List[str]: + async def extract_memories( + self, text: str, prompt: str, user_id: Optional[str] = None, + ) -> List[str]: """Extract memories using OpenAI API with the enhanced fact retrieval prompt. Args: text: Input text to extract memories from prompt: System prompt to guide extraction (uses default if empty) + user_id: Optional user ID for per-user prompt override resolution Returns: List of extracted memory strings @@ -199,9 +202,11 @@ async def extract_memories(self, text: str, prompt: str) -> List[str]: if prompt and prompt.strip(): system_prompt = prompt else: - registry = get_prompt_registry() - system_prompt = await registry.get_prompt( + from advanced_omi_backend.prompt_optimizer import get_user_prompt + + system_prompt = await get_user_prompt( "memory.fact_retrieval", + user_id, current_date=datetime.now().strftime("%Y-%m-%d"), ) @@ -245,23 +250,21 @@ async def _process_chunk(self, system_prompt: str, chunk: str, index: int) -> Li memory extraction process. """ try: - client = _get_openai_client(api_key=self.api_key, base_url=self.base_url, is_async=True) + op = self._registry.get_llm_operation("memory_extraction") + client = op.get_client(is_async=True) response = await client.chat.completions.create( - model=self.model, + **op.to_api_params(), messages=[ {"role": "system", "content": system_prompt}, {"role": "user", "content": chunk}, ], - temperature=self.temperature, - max_tokens=self.max_tokens, - response_format={"type": "json_object"}, ) facts = (response.choices[0].message.content or "").strip() if not facts: return [] return _parse_memories_content(facts) - + except Exception as e: memory_logger.error(f"Error processing chunk {index}: {e}") return [] @@ -332,12 +335,11 @@ async def propose_memory_actions( ) memory_logger.debug(f"๐Ÿง  Generated prompt user content: {update_memory_messages[1]['content'][:200]}...") - client = _get_openai_client(api_key=self.api_key, base_url=self.base_url, is_async=True) + op = self._registry.get_llm_operation("memory_update") + client = op.get_client(is_async=True) response = await client.chat.completions.create( - model=self.model, + **op.to_api_params(), messages=update_memory_messages, - temperature=self.temperature, - max_tokens=self.max_tokens, ) content = (response.choices[0].message.content or "").strip() if not content: @@ -420,15 +422,11 @@ async def propose_reprocess_actions( f"๐Ÿ”„ Reprocess user content (first 300 chars): {user_content[:300]}..." ) - client = _get_openai_client( - api_key=self.api_key, base_url=self.base_url, is_async=True - ) + op = self._registry.get_llm_operation("memory_reprocess") + client = op.get_client(is_async=True) response = await client.chat.completions.create( - model=self.model, + **op.to_api_params(), messages=messages, - temperature=self.temperature, - max_tokens=self.max_tokens, - response_format={"type": "json_object"}, ) content = (response.choices[0].message.content or "").strip() diff --git a/backends/advanced/src/advanced_omi_backend/services/memory/providers/mock_llm_provider.py b/backends/advanced/src/advanced_omi_backend/services/memory/providers/mock_llm_provider.py index 11ee893e..1405be3c 100644 --- a/backends/advanced/src/advanced_omi_backend/services/memory/providers/mock_llm_provider.py +++ b/backends/advanced/src/advanced_omi_backend/services/memory/providers/mock_llm_provider.py @@ -28,13 +28,16 @@ def __init__(self, config: Dict[str, Any] = None): self._is_connected = False self.embedding_dimension = 384 # Standard dimension for mock embeddings - async def extract_memories(self, text: str, prompt: str) -> List[str]: + async def extract_memories( + self, text: str, prompt: str, user_id: Optional[str] = None, + ) -> List[str]: """ Return predefined mock memories extracted from text. Args: text: Input text to extract memories from (analyzed for mock generation) prompt: System prompt (ignored in mock) + user_id: Optional user ID (ignored in mock) Returns: List of mock memory strings based on text content diff --git a/backends/advanced/src/advanced_omi_backend/services/memory/providers/mycelia.py b/backends/advanced/src/advanced_omi_backend/services/memory/providers/mycelia.py deleted file mode 100644 index f6e3b087..00000000 --- a/backends/advanced/src/advanced_omi_backend/services/memory/providers/mycelia.py +++ /dev/null @@ -1,891 +0,0 @@ -"""Mycelia memory service implementation. - -This module provides a concrete implementation of the MemoryServiceBase interface -that uses Mycelia as the backend for all memory operations. -""" - -import asyncio -import json -import logging -from datetime import datetime -from typing import Any, Dict, List, Optional, Tuple - -import httpx - -from advanced_omi_backend.auth import generate_jwt_for_user -from advanced_omi_backend.model_registry import get_models_registry -from advanced_omi_backend.prompt_registry import get_prompt_registry -from advanced_omi_backend.users import User - -from ..base import MemoryEntry, MemoryServiceBase -from ..config import MemoryConfig -from ..prompts import ( - FACT_RETRIEVAL_PROMPT, - TemporalEntity, - get_temporal_entity_extraction_prompt, -) -from .llm_providers import _get_openai_client - -memory_logger = logging.getLogger("memory_service") - - -def strip_markdown_json(content: str) -> str: - """Strip markdown code block wrapper from JSON content. - - Handles formats like: - - ```json\n{...}\n``` - - ```\n{...}\n``` - - {... } (plain JSON, returned as-is) - """ - content = content.strip() - if content.startswith("```"): - # Remove opening ```json or ``` - first_newline = content.find("\n") - if first_newline != -1: - content = content[first_newline + 1 :] - # Remove closing ``` - if content.endswith("```"): - content = content[:-3] - content = content.strip() - return content - - -class MyceliaMemoryService(MemoryServiceBase): - """Memory service implementation using Mycelia backend. - - This class implements the MemoryServiceBase interface by delegating memory - operations to a Mycelia server using JWT authentication from Chronicle. - - Args: - api_url: Mycelia API endpoint URL - timeout: Request timeout in seconds - **kwargs: Additional configuration parameters - """ - - @property - def provider_identifier(self) -> str: - return "mycelia" - - def __init__(self, config: MemoryConfig): - """Initialize Mycelia memory service. - - Args: - config: MemoryConfig object containing mycelia_config and llm_config - """ - super().__init__() - self.config = config - self.mycelia_config = config.mycelia_config or {} - self.api_url = self.mycelia_config.get("api_url", "http://localhost:8080").rstrip("/") - self.timeout = self.mycelia_config.get("timeout", 30) - self._client: Optional[httpx.AsyncClient] = None - - # Store LLM config for temporal extraction - self.llm_config = config.llm_config or {} - - memory_logger.info(f"๐Ÿ„ Initializing Mycelia memory service at {self.api_url}") - - async def initialize(self) -> None: - """Initialize Mycelia client and verify connection.""" - try: - # Initialize HTTP client - self._client = httpx.AsyncClient( - base_url=self.api_url, - timeout=self.timeout, - headers={"Content-Type": "application/json"}, - ) - - # Test connection directly (without calling test_connection to avoid recursion) - try: - response = await self._client.get("/health") - if response.status_code != 200: - raise RuntimeError(f"Health check failed with status {response.status_code}") - except httpx.HTTPError as e: - raise RuntimeError(f"Failed to connect to Mycelia service: {e}") - - self._initialized = True - memory_logger.info("โœ… Mycelia memory service initialized successfully") - - except Exception as e: - memory_logger.error(f"โŒ Failed to initialize Mycelia service: {e}") - raise RuntimeError(f"Mycelia initialization failed: {e}") - - async def _get_user_jwt(self, user_id: str, user_email: Optional[str] = None) -> str: - """Get JWT token for a user (with optional user lookup). - - Args: - user_id: User ID - user_email: Optional user email (will lookup if not provided) - - Returns: - JWT token string - - Raises: - ValueError: If user not found - """ - # If email not provided, lookup user - if not user_email: - user = await User.get(user_id) - if not user: - raise ValueError(f"User {user_id} not found") - user_email = user.email - - return generate_jwt_for_user(user_id, user_email) - - @staticmethod - def _extract_bson_id(raw_id: Any) -> str: - """Extract ID from Mycelia BSON format {"$oid": "..."} or plain string.""" - if isinstance(raw_id, dict) and "$oid" in raw_id: - return raw_id["$oid"] - return str(raw_id) - - @staticmethod - def _extract_bson_date(date_obj: Any) -> Any: - """Extract date from Mycelia BSON format {"$date": "..."} or plain value.""" - if isinstance(date_obj, dict) and "$date" in date_obj: - return date_obj["$date"] - return date_obj - - def _mycelia_object_to_memory_entry(self, obj: Dict, user_id: str) -> MemoryEntry: - """Convert Mycelia object to MemoryEntry. - - Args: - obj: Mycelia object from API - user_id: User ID for metadata - - Returns: - MemoryEntry object with full Mycelia metadata including temporal and semantic fields - """ - memory_id = self._extract_bson_id(obj.get("_id", "")) - memory_content = obj.get("details", "") - - # Build metadata with all Mycelia fields - metadata = { - "user_id": user_id, - "name": obj.get("name", ""), - "aliases": obj.get("aliases", []), - "created_at": self._extract_bson_date(obj.get("createdAt")), - "updated_at": self._extract_bson_date(obj.get("updatedAt")), - # Semantic flags - "isPerson": obj.get("isPerson", False), - "isEvent": obj.get("isEvent", False), - "isPromise": obj.get("isPromise", False), - "isRelationship": obj.get("isRelationship", False), - } - - # Add icon if present - if "icon" in obj and obj["icon"]: - metadata["icon"] = obj["icon"] - - # Add temporal information if present - if "timeRanges" in obj and obj["timeRanges"]: - # Convert BSON dates in timeRanges to ISO strings for JSON serialization - time_ranges = [] - for tr in obj["timeRanges"]: - time_range = { - "start": self._extract_bson_date(tr.get("start")), - "end": self._extract_bson_date(tr.get("end")), - } - if "name" in tr: - time_range["name"] = tr["name"] - time_ranges.append(time_range) - metadata["timeRanges"] = time_ranges - - return MemoryEntry( - id=memory_id, - content=memory_content, - metadata=metadata, - created_at=self._extract_bson_date(obj.get("createdAt")), - updated_at=self._extract_bson_date(obj.get("updatedAt")), - ) - - async def _call_resource(self, action: str, jwt_token: str, **params) -> Dict[str, Any]: - """Call Mycelia objects resource with JWT authentication. - - Args: - action: Action to perform (create, list, get, delete, etc.) - jwt_token: User's JWT token from Chronicle - **params: Additional parameters for the action - - Returns: - Response data from Mycelia - - Raises: - RuntimeError: If API call fails - """ - if not self._client: - raise RuntimeError("Mycelia client not initialized") - - try: - response = await self._client.post( - "/api/resource/tech.mycelia.objects", - json={"action": action, **params}, - headers={"Authorization": f"Bearer {jwt_token}"}, - ) - response.raise_for_status() - return response.json() - - except httpx.HTTPStatusError as e: - memory_logger.exception( - f"Mycelia API error: {e.response.status_code} - {e.response.text}" - ) - raise RuntimeError(f"Mycelia API error: {e.response.status_code}") from e - except Exception as e: - memory_logger.exception(f"Failed to call Mycelia resource: {e}") - raise RuntimeError(f"Mycelia API call failed: {e}") from e - - async def _extract_memories_via_llm( - self, - transcript: str, - ) -> List[str]: - """Extract memories from transcript using OpenAI directly. - - Args: - transcript: Raw transcript text - - Returns: - List of extracted memory facts - - Raises: - RuntimeError: If LLM call fails - """ - try: - # Use registry-driven default LLM with OpenAI SDK - reg = get_models_registry() - if not reg: - memory_logger.warning("No registry available for LLM; cannot extract facts") - return [] - llm_def = reg.get_default("llm") - if not llm_def: - memory_logger.warning("No default LLM in config.yml; cannot extract facts") - return [] - client = _get_openai_client( - api_key=llm_def.api_key or "", base_url=llm_def.model_url, is_async=True - ) - registry = get_prompt_registry() - fact_prompt = await registry.get_prompt( - "memory.fact_retrieval", - current_date=datetime.now().strftime("%Y-%m-%d"), - ) - response = await client.chat.completions.create( - model=llm_def.model_name, - messages=[ - {"role": "system", "content": fact_prompt}, - {"role": "user", "content": transcript}, - ], - response_format={"type": "json_object"}, - temperature=float(llm_def.model_params.get("temperature", 0.1)), - ) - content = (response.choices[0].message.content or "").strip() - - if not content: - memory_logger.warning("LLM returned empty content") - return [] - - # Parse JSON response to extract facts - try: - # Strip markdown wrapper if present (just in case) - json_content = strip_markdown_json(content) - facts_data = json.loads(json_content) - facts = facts_data.get("facts", []) - memory_logger.info(f"๐Ÿง  Extracted {len(facts)} facts from transcript via OpenAI") - return facts - except json.JSONDecodeError as e: - memory_logger.error(f"Failed to parse LLM response as JSON: {e}") - memory_logger.error(f"LLM response was: {content[:300]}") - return [] - - except Exception as e: - memory_logger.error(f"Failed to extract memories via OpenAI: {e}") - raise RuntimeError(f"OpenAI memory extraction failed: {e}") from e - - async def _extract_temporal_entity_via_llm( - self, - fact: str, - ) -> Optional[TemporalEntity]: - """Extract temporal and entity information from a fact using OpenAI directly. - - Args: - fact: Memory fact text - - Returns: - TemporalEntity with extracted information, or None if extraction fails - """ - try: - # Use registry-driven default LLM with OpenAI SDK - reg = get_models_registry() - if not reg: - memory_logger.warning( - "No registry available for LLM; cannot extract temporal entity" - ) - return None - llm_def = reg.get_default("llm") - if not llm_def: - memory_logger.warning( - "No default LLM in config.yml; cannot extract temporal entity" - ) - return None - client = _get_openai_client( - api_key=llm_def.api_key or "", base_url=llm_def.model_url, is_async=True - ) - now = datetime.now() - registry = get_prompt_registry() - temporal_prompt = await registry.get_prompt( - "memory.temporal_extraction", - current_date=now.strftime("%Y-%m-%d"), - current_time=now.strftime("%H:%M:%S"), - day_of_week=now.strftime("%A"), - ) - response = await client.chat.completions.create( - model=llm_def.model_name, - messages=[ - {"role": "system", "content": temporal_prompt}, - { - "role": "user", - "content": f"Extract temporal and entity information from this memory fact:\n\n{fact}", - }, - ], - response_format={"type": "json_object"}, - temperature=float(llm_def.model_params.get("temperature", 0.1)), - ) - - content = response.choices[0].message.content - - if not content: - memory_logger.warning("LLM returned empty content for temporal extraction") - return None - - # Parse JSON response and validate with Pydantic - try: - # Strip markdown wrapper if present (just in case) - json_content = strip_markdown_json(content) - temporal_data = json.loads(json_content) - - # Convert timeRanges to proper format if present - if "timeRanges" in temporal_data: - for time_range in temporal_data["timeRanges"]: - if isinstance(time_range["start"], str): - time_range["start"] = datetime.fromisoformat( - time_range["start"].replace("Z", "+00:00") - ) - if isinstance(time_range["end"], str): - time_range["end"] = datetime.fromisoformat( - time_range["end"].replace("Z", "+00:00") - ) - - temporal_entity = TemporalEntity(**temporal_data) - memory_logger.info( - f"โœ… Temporal extraction: isEvent={temporal_entity.isEvent}, timeRanges={len(temporal_entity.timeRanges)}, entities={temporal_entity.entities}" - ) - return temporal_entity - - except json.JSONDecodeError as e: - memory_logger.error(f"โŒ Failed to parse temporal extraction JSON: {e}") - memory_logger.error(f"Content (first 300 chars): {content[:300]}") - return None - except Exception as e: - memory_logger.error(f"Failed to validate temporal entity: {e}") - memory_logger.error(f"Data: {content[:300] if content else 'None'}") - return None - - except Exception as e: - memory_logger.error(f"Failed to extract temporal data via OpenAI: {e}") - # Don't fail the entire memory creation if temporal extraction fails - return None - - async def add_memory( - self, - transcript: str, - client_id: str, - source_id: str, - user_id: str, - user_email: str, - allow_update: bool = False, - db_helper: Any = None, - ) -> Tuple[bool, List[str]]: - """Add memories from transcript using Mycelia. - - Args: - transcript: Raw transcript text to extract memories from - client_id: Client identifier - source_id: Unique identifier for the source (audio session, chat session, etc.) - user_id: User identifier - user_email: User email address - allow_update: Whether to allow updating existing memories - db_helper: Optional database helper for tracking relationships - - Returns: - Tuple of (success: bool, created_memory_ids: List[str]) - """ - # Ensure service is initialized (lazy initialization for RQ workers) - await self._ensure_initialized() - - try: - # Generate JWT token for this user - jwt_token = await self._get_user_jwt(user_id, user_email) - - # Extract memories from transcript using OpenAI - memory_logger.info(f"Extracting memories from transcript via OpenAI...") - extracted_facts = await self._extract_memories_via_llm(transcript) - - if not extracted_facts: - memory_logger.warning("No memories extracted from transcript") - return (False, []) - - # Create Mycelia objects for each extracted fact - memory_ids = [] - for fact in extracted_facts: - fact_preview = fact[:50] + ("..." if len(fact) > 50 else "") - - # Extract temporal and entity information - temporal_entity = await self._extract_temporal_entity_via_llm(fact) - - # Build object data with temporal/entity information if available - if temporal_entity: - # Convert timeRanges from Pydantic models to dict format for Mycelia API - time_ranges = [] - for tr in temporal_entity.timeRanges: - time_range_dict = { - "start": ( - tr.start.isoformat() if isinstance(tr.start, datetime) else tr.start - ), - "end": tr.end.isoformat() if isinstance(tr.end, datetime) else tr.end, - } - if tr.name: - time_range_dict["name"] = tr.name - time_ranges.append(time_range_dict) - - # Use emoji in name if available, otherwise use default - name_prefix = temporal_entity.emoji if temporal_entity.emoji else "Memory:" - - object_data = { - "name": f"{name_prefix} {fact_preview}", - "details": fact, - "aliases": [source_id, client_id] - + temporal_entity.entities, # Include extracted entities - "isPerson": temporal_entity.isPerson, - "isPromise": temporal_entity.isPromise, - "isEvent": temporal_entity.isEvent, - "isRelationship": temporal_entity.isRelationship, - # Note: userId is auto-injected by Mycelia from JWT - } - - # Add timeRanges if temporal information was extracted - if time_ranges: - object_data["timeRanges"] = time_ranges - - # Add emoji icon if available - if temporal_entity.emoji: - object_data["icon"] = {"text": temporal_entity.emoji} - - memory_logger.info( - f"๐Ÿ“… Temporal extraction: isEvent={temporal_entity.isEvent}, timeRanges={len(time_ranges)}, entities={len(temporal_entity.entities)}" - ) - else: - # Fallback to basic object without temporal data - object_data = { - "name": f"Memory: {fact_preview}", - "details": fact, - "aliases": [source_id, client_id], - "isPerson": False, - "isPromise": False, - "isEvent": False, - "isRelationship": False, - } - memory_logger.warning(f"โš ๏ธ No temporal data extracted for fact: {fact_preview}") - - result = await self._call_resource( - action="create", jwt_token=jwt_token, object=object_data - ) - - memory_id = result.get("insertedId") - if memory_id: - memory_logger.info( - f"โœ… Created Mycelia memory object: {memory_id} - {fact_preview}" - ) - memory_ids.append(memory_id) - else: - memory_logger.error(f"Failed to create memory fact: {fact}") - - if memory_ids: - memory_logger.info( - f"โœ… Created {len(memory_ids)} Mycelia memory objects from {len(extracted_facts)} facts" - ) - return (True, memory_ids) - else: - memory_logger.error("No Mycelia memory objects were created") - return (False, []) - - except Exception as e: - memory_logger.error(f"Failed to add memory via Mycelia: {e}") - return (False, []) - - async def search_memories( - self, query: str, user_id: str, limit: int = 10, score_threshold: float = 0.0 - ) -> List[MemoryEntry]: - """Search memories using Mycelia semantic search. - - Args: - query: Search query text - user_id: User identifier to filter memories - limit: Maximum number of results to return - score_threshold: Minimum similarity score (0.0 = no threshold) - - Returns: - List of matching MemoryEntry objects ordered by relevance - """ - if not self._initialized: - await self.initialize() - - try: - # Generate JWT token for this user - jwt_token = await self._get_user_jwt(user_id) - - # Search using Mycelia's list action with searchTerm option - result = await self._call_resource( - action="list", - jwt_token=jwt_token, - filters={}, # Auto-scoped by userId in Mycelia - options={ - "searchTerm": query, - "limit": limit, - "sort": {"updatedAt": -1}, # Most recent first - }, - ) - - # Convert Mycelia objects to MemoryEntry objects - memories = [] - for i, obj in enumerate(result): - # Calculate a simple relevance score (0-1) based on position - # (Mycelia doesn't provide semantic similarity scores yet) - score = 1.0 - (i * 0.1) # Decaying score - if score < score_threshold: - continue - - entry = self._mycelia_object_to_memory_entry(obj, user_id) - entry.score = score # Override score - memories.append(entry) - - return memories - - except Exception as e: - memory_logger.error(f"Failed to search memories via Mycelia: {e}") - return [] - - async def get_all_memories(self, user_id: str, limit: int = 100) -> List[MemoryEntry]: - """Get all memories for a user from Mycelia. - - Args: - user_id: User identifier - limit: Maximum number of memories to return - - Returns: - List of MemoryEntry objects for the user - """ - if not self._initialized: - await self.initialize() - - try: - # Generate JWT token for this user - jwt_token = await self._get_user_jwt(user_id) - - # List all objects for this user (auto-scoped by Mycelia) - result = await self._call_resource( - action="list", - jwt_token=jwt_token, - filters={}, # Auto-scoped by userId - options={"limit": limit, "sort": {"updatedAt": -1}}, # Most recent first - ) - - # Convert Mycelia objects to MemoryEntry objects - memories = [self._mycelia_object_to_memory_entry(obj, user_id) for obj in result] - return memories - - except Exception as e: - memory_logger.error(f"Failed to get memories via Mycelia: {e}") - return [] - - async def count_memories(self, user_id: str) -> Optional[int]: - """Count memories for a user. - - Args: - user_id: User identifier - - Returns: - Total count of memories for the user, or None if not supported - """ - if not self._initialized: - await self.initialize() - - try: - # Generate JWT token for this user - jwt_token = await self._get_user_jwt(user_id) - - # Use Mycelia's mongo resource to count objects for this user - if not self._client: - raise RuntimeError("Mycelia client not initialized") - - response = await self._client.post( - "/api/resource/tech.mycelia.mongo", - json={"action": "count", "collection": "objects", "query": {"userId": user_id}}, - headers={"Authorization": f"Bearer {jwt_token}"}, - ) - response.raise_for_status() - return response.json() - - except Exception as e: - memory_logger.error(f"Failed to count memories via Mycelia: {e}") - return None - - async def get_memory( - self, memory_id: str, user_id: Optional[str] = None - ) -> Optional[MemoryEntry]: - """Get a specific memory by ID from Mycelia. - - Args: - memory_id: Unique identifier of the memory to retrieve - user_id: Optional user identifier for authentication - - Returns: - MemoryEntry object if found, None otherwise - """ - if not self._initialized: - await self.initialize() - - try: - # Need user ID for JWT authentication - if not user_id: - memory_logger.error("User ID required for Mycelia get_memory operation") - return None - - # Generate JWT token for this user - jwt_token = await self._get_user_jwt(user_id) - - # Get the object by ID (auto-scoped by userId in Mycelia) - result = await self._call_resource(action="get", jwt_token=jwt_token, id=memory_id) - - if result: - return self._mycelia_object_to_memory_entry(result, user_id) - else: - memory_logger.warning(f"Memory not found with ID: {memory_id}") - return None - - except Exception as e: - memory_logger.error(f"Failed to get memory via Mycelia: {e}") - return None - - async def update_memory( - self, - memory_id: str, - content: Optional[str] = None, - metadata: Optional[Dict[str, Any]] = None, - user_id: Optional[str] = None, - user_email: Optional[str] = None, - ) -> bool: - """Update a specific memory's content and/or metadata in Mycelia. - - Args: - memory_id: Unique identifier of the memory to update - content: New content for the memory (updates 'details' field) - metadata: New metadata to merge with existing - user_id: Optional user ID for authentication - user_email: Optional user email for authentication - - Returns: - True if update succeeded, False otherwise - """ - if not self._initialized: - await self.initialize() - - try: - # Need user ID for JWT authentication - if not user_id: - memory_logger.error("User ID required for Mycelia update_memory operation") - return False - - # Generate JWT token for this user - jwt_token = await self._get_user_jwt(user_id, user_email) - - # Build update object - update_data: Dict[str, Any] = {} - - if content is not None: - update_data["details"] = content - - if metadata: - # Extract specific metadata fields that Mycelia supports - if "name" in metadata: - update_data["name"] = metadata["name"] - if "aliases" in metadata: - update_data["aliases"] = metadata["aliases"] - if "isPerson" in metadata: - update_data["isPerson"] = metadata["isPerson"] - if "isPromise" in metadata: - update_data["isPromise"] = metadata["isPromise"] - if "isEvent" in metadata: - update_data["isEvent"] = metadata["isEvent"] - if "isRelationship" in metadata: - update_data["isRelationship"] = metadata["isRelationship"] - if "timeRanges" in metadata: - update_data["timeRanges"] = metadata["timeRanges"] - if "icon" in metadata: - update_data["icon"] = metadata["icon"] - - if not update_data: - memory_logger.warning("No update data provided") - return False - - # Update the object (auto-scoped by userId in Mycelia) - result = await self._call_resource( - action="update", jwt_token=jwt_token, id=memory_id, object=update_data - ) - - updated_count = result.get("modifiedCount", 0) - if updated_count > 0: - memory_logger.info(f"โœ… Updated Mycelia memory object: {memory_id}") - return True - else: - memory_logger.warning(f"No memory updated with ID: {memory_id}") - return False - - except Exception as e: - memory_logger.error(f"Failed to update memory via Mycelia: {e}") - return False - - async def delete_memory( - self, memory_id: str, user_id: Optional[str] = None, user_email: Optional[str] = None - ) -> bool: - """Delete a specific memory from Mycelia. - - Args: - memory_id: Unique identifier of the memory to delete - user_id: Optional user identifier for authentication - user_email: Optional user email for authentication - - Returns: - True if successfully deleted, False otherwise - """ - try: - # Need user credentials for JWT - if not provided, we can't delete - if not user_id: - memory_logger.error("User ID required for Mycelia delete operation") - return False - - # Generate JWT token for this user - jwt_token = await self._get_user_jwt(user_id, user_email) - - # Delete the object (auto-scoped by userId in Mycelia) - result = await self._call_resource(action="delete", jwt_token=jwt_token, id=memory_id) - - deleted_count = result.get("deletedCount", 0) - if deleted_count > 0: - memory_logger.info(f"โœ… Deleted Mycelia memory object: {memory_id}") - return True - else: - memory_logger.warning(f"No memory deleted with ID: {memory_id}") - return False - - except Exception as e: - memory_logger.error(f"Failed to delete memory via Mycelia: {e}") - return False - - async def delete_all_user_memories(self, user_id: str) -> int: - """Delete all memories for a user from Mycelia. - - Args: - user_id: User identifier - - Returns: - Number of memories that were deleted - """ - try: - # Generate JWT token for this user - jwt_token = await self._get_user_jwt(user_id) - - # First, get all memory IDs for this user - result = await self._call_resource( - action="list", - jwt_token=jwt_token, - filters={}, # Auto-scoped by userId - options={"limit": 10000}, # Large limit to get all - ) - - # Delete each memory individually - deleted_count = 0 - for obj in result: - memory_id = self._extract_bson_id(obj.get("_id", "")) - if await self.delete_memory(memory_id, user_id): - deleted_count += 1 - - memory_logger.info(f"โœ… Deleted {deleted_count} Mycelia memories for user {user_id}") - return deleted_count - - except Exception as e: - memory_logger.error(f"Failed to delete user memories via Mycelia: {e}") - return 0 - - async def test_connection(self) -> bool: - """Test connection to Mycelia service. - - Returns: - True if connection is healthy, False otherwise - """ - try: - if not self._initialized: - await self.initialize() - - if not self._client: - return False - - # Test connection by hitting a lightweight endpoint - response = await self._client.get("/health") - return response.status_code == 200 - - except Exception as e: - memory_logger.error(f"Mycelia connection test failed: {e}") - return False - - async def aclose(self) -> None: - """Asynchronously close Mycelia client and cleanup resources.""" - memory_logger.info("Closing Mycelia memory service") - if self._client: - try: - await self._client.aclose() - memory_logger.info("โœ… Mycelia HTTP client closed successfully") - except Exception as e: - memory_logger.error(f"Error closing Mycelia HTTP client: {e}") - self._initialized = False - - def shutdown(self) -> None: - """Shutdown Mycelia client and cleanup resources (sync wrapper).""" - memory_logger.info("Shutting down Mycelia memory service") - - if self._client: - try: - # Try to get the current event loop - try: - loop = asyncio.get_running_loop() - except RuntimeError: - # No running loop - loop = None - - if loop and loop.is_running(): - # If we're in an async context, schedule the close operation on the running loop - memory_logger.info( - "Running event loop detected. Scheduling aclose() on the current loop." - ) - try: - # Schedule the coroutine to run on the existing loop - asyncio.ensure_future(self.aclose(), loop=loop) - memory_logger.info("โœ… Close operation scheduled on running event loop") - except Exception as e: - memory_logger.error(f"Error scheduling close on running loop: {e}") - else: - # No running loop, safe to use run_until_complete - try: - asyncio.get_event_loop().run_until_complete(self.aclose()) - except Exception as e: - memory_logger.error(f"Error during shutdown: {e}") - except Exception as e: - memory_logger.error(f"Unexpected error during shutdown: {e}") - - self._initialized = False diff --git a/backends/advanced/src/advanced_omi_backend/services/memory/providers/openmemory_mcp.py b/backends/advanced/src/advanced_omi_backend/services/memory/providers/openmemory_mcp.py index babe9bf6..ba8484b2 100644 --- a/backends/advanced/src/advanced_omi_backend/services/memory/providers/openmemory_mcp.py +++ b/backends/advanced/src/advanced_omi_backend/services/memory/providers/openmemory_mcp.py @@ -285,6 +285,42 @@ async def get_all_memories(self, user_id: str, limit: int = 100) -> List[MemoryE memory_logger.error(f"Get all memories failed: {e}") return [] + async def get_memories_by_source( + self, user_id: str, source_id: str, limit: int = 100 + ) -> List[MemoryEntry]: + """Get all memories extracted from a specific source (conversation). + + Uses client-side filtering on chronicle_user_id and source_id metadata, + consistent with how get_all_memories filters by user. + """ + if not self._initialized: + await self.initialize() + + try: + results = await self.mcp_client.list_memories(limit=limit * 3) + + memory_entries = [] + for result in results: + metadata = result.get("metadata", {}) + if ( + metadata.get("chronicle_user_id") == user_id + and metadata.get("source_id") == source_id + ): + memory_entry = self._mcp_result_to_memory_entry(result, user_id) + if memory_entry: + memory_entries.append(memory_entry) + if len(memory_entries) >= limit: + break + + memory_logger.info( + f"๐Ÿ“š Retrieved {len(memory_entries)} memories for source {source_id} (user {user_id})" + ) + return memory_entries + + except Exception as e: + memory_logger.error(f"Get memories by source failed: {e}") + return [] + async def get_memory( self, memory_id: str, user_id: Optional[str] = None ) -> Optional[MemoryEntry]: diff --git a/backends/advanced/src/advanced_omi_backend/services/memory/providers/vector_stores.py b/backends/advanced/src/advanced_omi_backend/services/memory/providers/vector_stores.py index 50678642..06fd44fa 100644 --- a/backends/advanced/src/advanced_omi_backend/services/memory/providers/vector_stores.py +++ b/backends/advanced/src/advanced_omi_backend/services/memory/providers/vector_stores.py @@ -322,9 +322,14 @@ async def update_memory( ) -> bool: """Update (upsert) an existing memory in Qdrant.""" try: + # Preserve original created_at from the existing point + existing = await self.get_memory(memory_id) + created_at = existing.created_at if existing else str(int(time.time())) + payload = { "content": new_content, "metadata": new_metadata, + "created_at": created_at, "updated_at": str(int(time.time())), } diff --git a/backends/advanced/src/advanced_omi_backend/services/memory/service_factory.py b/backends/advanced/src/advanced_omi_backend/services/memory/service_factory.py index d30778e0..2c9507f5 100644 --- a/backends/advanced/src/advanced_omi_backend/services/memory/service_factory.py +++ b/backends/advanced/src/advanced_omi_backend/services/memory/service_factory.py @@ -54,19 +54,6 @@ def create_memory_service(config: MemoryConfig) -> MemoryServiceBase: return OpenMemoryMCPService(**config.openmemory_config) - elif config.memory_provider == MemoryProvider.MYCELIA: - # Use Mycelia implementation - try: - from .providers.mycelia import MyceliaMemoryService - except ImportError as e: - raise RuntimeError(f"Mycelia memory service not available: {e}") - - if not config.mycelia_config: - raise ValueError("Mycelia configuration is required for MYCELIA provider") - - # Pass the full config so Mycelia can access llm_config - return MyceliaMemoryService(config) - else: raise ValueError(f"Unsupported memory provider: {config.memory_provider}") diff --git a/backends/advanced/src/advanced_omi_backend/services/mycelia_sync.py b/backends/advanced/src/advanced_omi_backend/services/mycelia_sync.py deleted file mode 100644 index 87f3b944..00000000 --- a/backends/advanced/src/advanced_omi_backend/services/mycelia_sync.py +++ /dev/null @@ -1,249 +0,0 @@ -""" -Mycelia OAuth Synchronization Service. - -This module synchronizes Chronicle users with Mycelia OAuth API keys, -ensuring that when users access Mycelia directly, they use credentials -that map to their Chronicle user ID. -""" - -import base64 -import hashlib -import logging -import os -import secrets -from datetime import datetime -from typing import Optional, Tuple - -from bson import ObjectId -from pymongo import MongoClient - -logger = logging.getLogger(__name__) - - -class MyceliaSyncService: - """Synchronize Chronicle users with Mycelia OAuth API keys.""" - - def __init__(self): - """Initialize the sync service.""" - # MongoDB configuration - # MONGODB_URI format: mongodb://host:port/database_name - self.mongo_url = os.getenv( - "MONGODB_URI", os.getenv("MONGO_URL", "mongodb://localhost:27017") - ) - - # Determine Mycelia database from environment - # Test environment uses mycelia_test, production uses mycelia - self.mycelia_db = os.getenv("MYCELIA_DB", os.getenv("DATABASE_NAME", "mycelia")) - - # Chronicle database - extract from MONGODB_URI or use default - # Test env: test_db, Production: chronicle - if "/" in self.mongo_url and self.mongo_url.count("/") >= 3: - # Extract database name from mongodb://host:port/database - self.chronicle_db = self.mongo_url.split("/")[-1].split("?")[0] or "chronicle" - else: - self.chronicle_db = "chronicle" - - logger.info(f"MyceliaSyncService initialized: {self.mongo_url}, Mycelia DB: {self.mycelia_db}, Chronicle DB: {self.chronicle_db}") - - def _hash_api_key_with_salt(self, api_key: str, salt: bytes) -> str: - """Hash API key with salt (matches Mycelia's implementation).""" - h = hashlib.sha256() - h.update(salt) - h.update(api_key.encode("utf-8")) - return base64.b64encode(h.digest()).decode("utf-8") - - def _create_mycelia_api_key(self, user_id: str, user_email: str) -> Tuple[str, str]: - """ - Create a Mycelia API key for a Chronicle user. - - Args: - user_id: Chronicle user ID (MongoDB ObjectId as string) - user_email: User email address - - Returns: - Tuple of (client_id, api_key) - """ - # Generate API key in Mycelia format - random_part = secrets.token_urlsafe(32) - api_key = f"mycelia_{random_part}" - - # Generate salt - salt = secrets.token_bytes(32) - - # Hash the API key - hashed_key = self._hash_api_key_with_salt(api_key, salt) - - # Open prefix for fast lookup - open_prefix = api_key[:16] - - # Connect to Mycelia database - client = MongoClient(self.mongo_url) - db = client[self.mycelia_db] - api_keys_collection = db["api_keys"] - - # Check if user already has an active API key - existing = api_keys_collection.find_one({ - "owner": user_id, - "isActive": True, - "name": f"Chronicle Auto ({user_email})" - }) - - if existing: - logger.info(f"User {user_email} already has Mycelia API key: {existing['_id']}") - # Return existing credentials (we can't retrieve the original API key) - # User will need to use the stored credentials - return str(existing["_id"]), None - - # Create new API key document - api_key_doc = { - "hashedKey": hashed_key, - "salt": base64.b64encode(salt).decode('utf-8'), - "owner": user_id, # CRITICAL: owner = Chronicle user ID - "name": f"Chronicle Auto ({user_email})", - "policies": [ - { - "resource": "**", - "action": "*", - "effect": "allow" - } - ], - "openPrefix": open_prefix, - "createdAt": datetime.utcnow(), - "isActive": True, - } - - # Insert into Mycelia database - result = api_keys_collection.insert_one(api_key_doc) - client_id = str(result.inserted_id) - - logger.info(f"โœ… Created Mycelia API key for {user_email}: {client_id}") - - return client_id, api_key - - def sync_user_to_mycelia(self, user_id: str, user_email: str) -> Optional[Tuple[str, str]]: - """ - Sync a Chronicle user to Mycelia OAuth. - - Args: - user_id: Chronicle user ID - user_email: User email - - Returns: - Tuple of (client_id, api_key) or None if sync fails - """ - try: - # Create Mycelia API key - client_id, api_key = self._create_mycelia_api_key(user_id, user_email) - - # Store credentials in Chronicle user document (if new key was created) - if api_key: - client = MongoClient(self.mongo_url) - db = client[self.chronicle_db] - users_collection = db["users"] - - users_collection.update_one( - {"_id": ObjectId(user_id)}, - { - "$set": { - "mycelia_oauth": { - "client_id": client_id, - "created_at": datetime.utcnow(), - "synced": True, - } - } - }, - ) - - logger.info(f"โœ… Synced {user_email} with Mycelia OAuth") - return client_id, api_key - else: - logger.info(f"โ„น๏ธ {user_email} already synced with Mycelia") - return client_id, None - - except Exception as e: - logger.error(f"Failed to sync {user_email} to Mycelia: {e}", exc_info=True) - return None - - def sync_admin_user(self) -> Optional[Tuple[str, str]]: - """ - Sync the admin user on startup. - - Returns: - Tuple of (client_id, api_key) if new key created, or None - """ - try: - admin_email = os.getenv("ADMIN_EMAIL") - if not admin_email: - logger.warning("ADMIN_EMAIL not set, skipping Mycelia sync") - return None - - # Get admin user from Chronicle database - client = MongoClient(self.mongo_url) - db = client[self.chronicle_db] - users_collection = db["users"] - - admin_user = users_collection.find_one({"email": admin_email}) - if not admin_user: - logger.warning(f"Admin user {admin_email} not found in database") - return None - - user_id = str(admin_user["_id"]) - - # Sync to Mycelia - result = self.sync_user_to_mycelia(user_id, admin_email) - - if result: - client_id, api_key = result - if api_key: - # Credentials created successfully - don't log them - logger.info("=" * 70) - logger.info("๐Ÿ”‘ MYCELIA OAUTH CREDENTIALS CREATED") - logger.info("=" * 70) - logger.info(f"User: {admin_email}") - logger.info(f"Client ID: {client_id}") - logger.info("") - logger.info("๐Ÿ” To retrieve credentials for Mycelia configuration:") - logger.info(" cd backends/advanced/scripts") - logger.info(" python create_mycelia_api_key.py") - logger.info("") - logger.info( - "๐Ÿ“ This will display the API key needed for Mycelia frontend setup" - ) - logger.info("=" * 70) - - return result - - except Exception as e: - logger.error(f"Failed to sync admin user: {e}", exc_info=True) - return None - - -# Global instance -_sync_service: Optional[MyceliaSyncService] = None - - -def get_mycelia_sync_service() -> MyceliaSyncService: - """Get or create the global Mycelia sync service instance.""" - global _sync_service - if _sync_service is None: - _sync_service = MyceliaSyncService() - return _sync_service - - -async def sync_admin_on_startup(): - """Run admin user sync on application startup.""" - logger.info("๐Ÿ”„ Starting Mycelia OAuth synchronization...") - - # Check if Mycelia sync is enabled - memory_provider = os.getenv("MEMORY_PROVIDER", "chronicle").lower() - if memory_provider != "mycelia": - logger.info("Mycelia sync skipped (MEMORY_PROVIDER != mycelia)") - return - - sync_service = get_mycelia_sync_service() - result = sync_service.sync_admin_user() - - if result: - logger.info("โœ… Mycelia OAuth sync completed") - else: - logger.warning("โš ๏ธ Mycelia OAuth sync completed with warnings") diff --git a/backends/advanced/src/advanced_omi_backend/services/plugin_assistant.py b/backends/advanced/src/advanced_omi_backend/services/plugin_assistant.py new file mode 100644 index 00000000..c5836b89 --- /dev/null +++ b/backends/advanced/src/advanced_omi_backend/services/plugin_assistant.py @@ -0,0 +1,493 @@ +"""Plugin lifecycle assistant โ€” LLM agent with tool calling. + +Uses the OpenAI SDK function-calling API to let users create, configure, +and manage plugins through natural conversation. Destructive tools require +frontend confirmation before execution. +""" + +import json +import logging +from typing import AsyncGenerator + +from advanced_omi_backend.controllers import system_controller +from advanced_omi_backend.llm_client import async_chat_with_tools +from advanced_omi_backend.plugins.events import PluginEvent +from advanced_omi_backend.prompt_registry import get_prompt_registry + +logger = logging.getLogger(__name__) + +# --------------------------------------------------------------------------- +# Tool definitions (OpenAI function-calling format) +# --------------------------------------------------------------------------- + +TOOLS = [ + { + "type": "function", + "function": { + "name": "get_plugin_status", + "description": "Get current status and configuration of all plugins, or a specific plugin by ID.", + "parameters": { + "type": "object", + "properties": { + "plugin_id": { + "type": "string", + "description": "Optional plugin ID to filter. Omit to get all plugins.", + } + }, + "required": [], + }, + }, + }, + { + "type": "function", + "function": { + "name": "apply_plugin_config", + "description": ( + "Apply configuration changes to a plugin. Updates orchestration " + "(enabled, events, condition), settings, and/or environment variables." + ), + "parameters": { + "type": "object", + "properties": { + "plugin_id": { + "type": "string", + "description": "The plugin ID to configure.", + }, + "orchestration": { + "type": "object", + "description": "Orchestration settings: enabled (bool), events (list of event names), condition (object with type and optional wake_words).", + }, + "settings": { + "type": "object", + "description": "Plugin-specific settings to update.", + }, + "env_vars": { + "type": "object", + "description": "Environment variable values (secrets) to set in .env.", + }, + }, + "required": ["plugin_id"], + }, + }, + }, + { + "type": "function", + "function": { + "name": "test_plugin_connection", + "description": "Test a plugin's connection/configuration without saving. Returns success/failure with a message.", + "parameters": { + "type": "object", + "properties": { + "plugin_id": { + "type": "string", + "description": "The plugin ID to test.", + } + }, + "required": ["plugin_id"], + }, + }, + }, + { + "type": "function", + "function": { + "name": "create_plugin", + "description": ( + "Create a new plugin. Optionally provide full plugin.py code " + "(e.g. LLM-generated implementation). If plugin_code is omitted, " + "creates standard boilerplate." + ), + "parameters": { + "type": "object", + "properties": { + "plugin_name": { + "type": "string", + "description": "Plugin name in snake_case (e.g. slack_notifier).", + }, + "description": { + "type": "string", + "description": "Human-readable description of what the plugin does.", + }, + "events": { + "type": "array", + "items": {"type": "string"}, + "description": "Event names the plugin subscribes to.", + }, + "plugin_code": { + "type": "string", + "description": "Optional full plugin.py source code.", + }, + }, + "required": ["plugin_name", "description", "events"], + }, + }, + }, + { + "type": "function", + "function": { + "name": "write_plugin_code", + "description": "Write or update an existing plugin's code. Overwrites plugin.py and updates __init__.py.", + "parameters": { + "type": "object", + "properties": { + "plugin_id": { + "type": "string", + "description": "Plugin identifier (directory name).", + }, + "code": { + "type": "string", + "description": "New plugin.py source code.", + }, + "config_yml": { + "type": "string", + "description": "Optional new config.yml content (YAML string).", + }, + }, + "required": ["plugin_id", "code"], + }, + }, + }, + { + "type": "function", + "function": { + "name": "delete_plugin", + "description": "Delete a plugin. Must be disabled first. Removes from plugins.yml and optionally removes files.", + "parameters": { + "type": "object", + "properties": { + "plugin_id": { + "type": "string", + "description": "Plugin identifier to delete.", + }, + "remove_files": { + "type": "boolean", + "description": "Also delete the plugin directory on disk. Default false.", + }, + }, + "required": ["plugin_id"], + }, + }, + }, + { + "type": "function", + "function": { + "name": "get_available_events", + "description": "List all available plugin events with descriptions.", + "parameters": {"type": "object", "properties": {}, "required": []}, + }, + }, + { + "type": "function", + "function": { + "name": "get_recent_events", + "description": "Fetch recent plugin event log entries from Redis.", + "parameters": { + "type": "object", + "properties": { + "limit": { + "type": "integer", + "description": "Max events to return (default 20).", + }, + "event_type": { + "type": "string", + "description": "Filter by event type (e.g. conversation.complete).", + }, + }, + "required": [], + }, + }, + }, +] + +# Tools that require user confirmation before execution (any action, not just reads) +ACTION_TOOLS = { + "apply_plugin_config", + "create_plugin", + "write_plugin_code", + "delete_plugin", + "test_plugin_connection", +} + +# --------------------------------------------------------------------------- +# Preview generation for action tools +# --------------------------------------------------------------------------- + + +async def _generate_preview(name: str, args: dict) -> str: + """Build a human-readable preview of what an action tool will do.""" + if name == "test_plugin_connection": + plugin_id = args.get("plugin_id", "?") + return f"**Test connection for `{plugin_id}`:**\n- Will attempt to reach the plugin's external service" + + if name == "apply_plugin_config": + plugin_id = args.get("plugin_id", "?") + parts = [f"**Apply config changes to `{plugin_id}`:**"] + orch = args.get("orchestration") + if orch: + if "enabled" in orch: + parts.append(f"- {'Enable' if orch['enabled'] else 'Disable'} plugin") + if "events" in orch: + parts.append(f"- Set events: {orch['events']}") + if "condition" in orch: + parts.append(f"- Set condition: {orch['condition']}") + if args.get("settings"): + parts.append(f"- Update settings: {list(args['settings'].keys())}") + if args.get("env_vars"): + parts.append(f"- Set env vars: {list(args['env_vars'].keys())}") + return "\n".join(parts) + + if name == "create_plugin": + plugin_name = args.get("plugin_name", "?") + desc = args.get("description", "") + events = args.get("events", []) + parts = [ + f"**Create plugin `{plugin_name}`:**", + f"- Description: {desc}", + f"- Events: {events}", + f"- Files: plugin.py, __init__.py, config.yml, README.md", + ] + code = args.get("plugin_code") + if code: + parts.append(f"\n**Generated code:**\n```python\n{code}\n```") + else: + parts.append("- Using standard boilerplate template") + return "\n".join(parts) + + if name == "write_plugin_code": + plugin_id = args.get("plugin_id", "?") + code = args.get("code", "") + parts = [ + f"**Update code for `{plugin_id}`:**", + f"- Overwrite plugin.py and update __init__.py", + ] + if args.get("config_yml"): + parts.append("- Also update config.yml") + parts.append(f"\n**New code:**\n```python\n{code}\n```") + return "\n".join(parts) + + if name == "delete_plugin": + plugin_id = args.get("plugin_id", "?") + remove = args.get("remove_files", False) + parts = [f"**Delete plugin `{plugin_id}`:**", "- Remove entry from plugins.yml"] + if remove: + parts.append(f"- Delete `plugins/{plugin_id}/` directory from disk") + return "\n".join(parts) + + return f"Execute `{name}` with args: {json.dumps(args, indent=2)}" + + +# --------------------------------------------------------------------------- +# Tool execution +# --------------------------------------------------------------------------- + + +async def _exec_tool(name: str, arguments: dict) -> dict: + """Execute a tool call and return the result dict.""" + if name == "get_plugin_status": + metadata = await system_controller.get_plugins_metadata() + plugin_id = arguments.get("plugin_id") + if plugin_id: + plugins = [p for p in metadata.get("plugins", []) if p.get("plugin_id") == plugin_id] + return {"plugins": plugins, "status": "success"} + return metadata + + if name == "apply_plugin_config": + plugin_id = arguments["plugin_id"] + config = {k: v for k, v in arguments.items() if k != "plugin_id"} + return await system_controller.update_plugin_config_structured(plugin_id, config) + + if name == "test_plugin_connection": + plugin_id = arguments["plugin_id"] + return await system_controller.test_plugin_connection(plugin_id, {}) + + if name == "create_plugin": + return await system_controller.create_plugin( + plugin_name=arguments["plugin_name"], + description=arguments.get("description", ""), + events=arguments.get("events", []), + plugin_code=arguments.get("plugin_code"), + ) + + if name == "write_plugin_code": + return await system_controller.write_plugin_code( + plugin_id=arguments["plugin_id"], + code=arguments["code"], + config_yml=arguments.get("config_yml"), + ) + + if name == "delete_plugin": + return await system_controller.delete_plugin( + plugin_id=arguments["plugin_id"], + remove_files=arguments.get("remove_files", False), + ) + + if name == "get_available_events": + return { + "events": {e.value: e.description for e in PluginEvent}, + "status": "success", + } + + if name == "get_recent_events": + from advanced_omi_backend.services.plugin_service import get_plugin_router + + router = get_plugin_router() + if not router: + return {"events": [], "status": "plugin_router_not_initialized"} + limit = arguments.get("limit", 20) + event_type = arguments.get("event_type") + events = router.get_recent_events(limit=limit, event_type=event_type) + return {"events": events, "status": "success"} + + return {"error": f"Unknown tool: {name}"} + + +# --------------------------------------------------------------------------- +# System prompt builder +# --------------------------------------------------------------------------- + + +async def _build_system_prompt() -> str: + """Build the system prompt by injecting current plugin metadata and events.""" + metadata = await system_controller.get_plugins_metadata() + + # Compact one-line-per-plugin summary + lines = [] + for plugin in metadata.get("plugins", []): + pid = plugin.get("plugin_id", "?") + name = plugin.get("name", pid) + enabled = plugin.get("enabled", False) + orch = plugin.get("orchestration", {}) + events = orch.get("events", []) + status = "enabled" if enabled else "disabled" + lines.append(f"- `{pid}` ({name}): {status} | events: {events}") + + plugins_text = "\n".join(lines) if lines else "No plugins discovered." + plugin_count = str(len(metadata.get("plugins", []))) + + # Build events list from enum + events_lines = [] + for event in PluginEvent: + events_lines.append(f"- `{event.value}` โ€” {event.description}") + events_text = "\n".join(events_lines) + + registry = get_prompt_registry() + return await registry.get_prompt( + "plugin_assistant.system", + plugins_metadata=plugins_text, + available_events=events_text, + plugin_count=plugin_count, + ) + + +# --------------------------------------------------------------------------- +# Agent loop โ€” yields SSE-compatible event dicts +# --------------------------------------------------------------------------- + +MAX_TOOL_ROUNDS = 8 + + +def _has_confirmation(messages: list[dict], tool_call_id: str) -> bool | str: + """Check if a tool_call_id has been confirmed or rejected in message history. + + Returns True if confirmed, "rejected" if rejected, False if no decision. + """ + for msg in messages: + if msg.get("role") == "tool" and msg.get("tool_call_id") == tool_call_id: + try: + content = json.loads(msg.get("content", "{}")) + if content.get("confirmed"): + return True + if content.get("rejected"): + return "rejected" + except (json.JSONDecodeError, TypeError): + pass + return False + + +async def generate_response_stream(messages: list[dict]) -> AsyncGenerator[dict, None]: + """Run the agent loop, yielding SSE event dicts. + + Event types: + {"type": "tool_call", "name": "...", "status": "running"} + {"type": "tool_result", "name": "...", "result": ...} + {"type": "token", "data": "..."} + {"type": "confirmation_required", "tool_call_id": "...", ...} + {"type": "complete"} + {"type": "error", "data": {"error": "..."}} + """ + system_prompt = await _build_system_prompt() + full_messages = [{"role": "system", "content": system_prompt}] + messages + + for _ in range(MAX_TOOL_ROUNDS): + response = await async_chat_with_tools(full_messages, tools=TOOLS, operation="plugin_assistant") + choice = response.choices[0] + + # If the model wants to call tools, execute them and loop + if choice.finish_reason == "tool_calls" or choice.message.tool_calls: + assistant_msg = choice.message.model_dump() + full_messages.append(assistant_msg) + + needs_confirmation = False + + for tool_call in choice.message.tool_calls: + fn_name = tool_call.function.name + try: + fn_args = json.loads(tool_call.function.arguments) + except json.JSONDecodeError: + fn_args = {} + + # Check if this is a destructive tool needing confirmation + if fn_name in ACTION_TOOLS: + confirmation = _has_confirmation(full_messages, tool_call.id) + + if confirmation == "rejected": + # User rejected โ€” add tool result and let model respond + full_messages.append({ + "role": "tool", + "tool_call_id": tool_call.id, + "content": json.dumps({"rejected": True, "reason": "User declined"}), + }) + continue + + if not confirmation: + # No confirmation yet โ€” send confirmation request and stop + preview = await _generate_preview(fn_name, fn_args) + yield { + "type": "confirmation_required", + "tool_call_id": tool_call.id, + "tool_name": fn_name, + "tool_args": fn_args, + "preview": preview, + "assistant_message": assistant_msg, + } + needs_confirmation = True + break + + # Execute tool (non-destructive, or confirmed destructive) + yield {"type": "tool_call", "name": fn_name, "status": "running"} + + try: + result = await _exec_tool(fn_name, fn_args) + except Exception as e: + logger.error(f"Tool {fn_name} failed: {e}") + result = {"error": str(e)} + + yield {"type": "tool_result", "name": fn_name, "result": result} + + full_messages.append({ + "role": "tool", + "tool_call_id": tool_call.id, + "content": json.dumps(result, default=str), + }) + + if needs_confirmation: + # Stop the loop โ€” frontend will re-send with confirmation + break + + continue # Loop back to let the model respond with the tool results + + # Plain text response โ€” emit as a single token event + content = choice.message.content or "" + yield {"type": "token", "data": content} + break + + yield {"type": "complete"} diff --git a/backends/advanced/src/advanced_omi_backend/services/plugin_service.py b/backends/advanced/src/advanced_omi_backend/services/plugin_service.py index e71422f8..7cac2c9a 100644 --- a/backends/advanced/src/advanced_omi_backend/services/plugin_service.py +++ b/backends/advanced/src/advanced_omi_backend/services/plugin_service.py @@ -10,6 +10,7 @@ import os import re import sys +import time from pathlib import Path from typing import Any, Dict, List, Optional, Type @@ -24,6 +25,9 @@ # Global plugin router instance _plugin_router: Optional[PluginRouter] = None +# Redis key for signaling worker restart (consumed by orchestrator's HealthMonitor) +WORKER_RESTART_KEY = "chronicle:worker_restart_requested" + def _get_plugins_dir() -> Path: """Get external plugins directory. @@ -41,15 +45,90 @@ def _get_plugins_dir() -> Path: return repo_root / "plugins" -def expand_env_vars(value: Any) -> Any: +def load_plugin_env(plugin_id: str) -> Dict[str, str]: + """Load per-plugin .env file from plugins/{id}/.env. + + Parses KEY=value lines, skipping comments and blank lines. + Strips surrounding quotes from values. + + Args: + plugin_id: Plugin identifier (directory name) + + Returns: + Dict of env var names to values. Empty dict if file doesn't exist. + """ + plugins_dir = _get_plugins_dir() + env_path = plugins_dir / plugin_id / ".env" + + if not env_path.exists(): + return {} + + env_vars: Dict[str, str] = {} + try: + with open(env_path, "r") as f: + for line in f: + line = line.strip() + if not line or line.startswith("#"): + continue + if "=" not in line: + continue + key, _, value = line.partition("=") + key = key.strip() + value = value.strip() + # Strip surrounding quotes + if len(value) >= 2 and value[0] == value[-1] and value[0] in ('"', "'"): + value = value[1:-1] + env_vars[key] = value + except Exception as e: + logger.warning(f"Failed to read plugin .env for '{plugin_id}': {e}") + + return env_vars + + +def save_plugin_env(plugin_id: str, env_vars: Dict[str, str]) -> Path: + """Save environment variables to plugins/{id}/.env. + + Merges new values into existing per-plugin .env file. + Creates the file if it doesn't exist. + + Args: + plugin_id: Plugin identifier (directory name) + env_vars: Dict of env var names to values to write + + Returns: + Path to the written .env file + """ + plugins_dir = _get_plugins_dir() + plugin_dir = plugins_dir / plugin_id + env_path = plugin_dir / ".env" + + # Load existing values and merge + existing = load_plugin_env(plugin_id) + existing.update(env_vars) + + # Ensure plugin directory exists + plugin_dir.mkdir(parents=True, exist_ok=True) + + # Write all values + with open(env_path, "w") as f: + for key, value in existing.items(): + f.write(f"{key}={value}\n") + + logger.info(f"Saved {len(env_vars)} env var(s) to {env_path}") + return env_path + + +def expand_env_vars(value: Any, extra_env: Optional[Dict[str, str]] = None) -> Any: """ Recursively expand environment variables in configuration values. - Supports ${ENV_VAR} syntax. If the environment variable is not set, + Supports ${ENV_VAR} syntax. Checks extra_env first (if provided), + then falls back to os.environ. If neither has the variable, the original placeholder is kept. Args: value: Configuration value (can be str, dict, list, or other) + extra_env: Optional dict of additional env vars to check before os.environ Returns: Value with environment variables expanded @@ -68,9 +147,14 @@ def replacer(match): # Support default values: ${VAR:-default} if ":-" in var_expr: var_name, default = var_expr.split(":-", 1) - return os.environ.get(var_name.strip(), default.strip()) + var_name = var_name.strip() + if extra_env and var_name in extra_env: + return extra_env[var_name] + return os.environ.get(var_name, default.strip()) else: var_name = var_expr.strip() + if extra_env and var_name in extra_env: + return extra_env[var_name] env_value = os.environ.get(var_name) if env_value is None: logger.warning( @@ -83,10 +167,10 @@ def replacer(match): return re.sub(r"\$\{([^}]+)\}", replacer, value) elif isinstance(value, dict): - return {k: expand_env_vars(v) for k, v in value.items()} + return {k: expand_env_vars(v, extra_env=extra_env) for k, v in value.items()} elif isinstance(value, list): - return [expand_env_vars(item) for item in value] + return [expand_env_vars(item, extra_env=extra_env) for item in value] else: return value @@ -138,8 +222,9 @@ def load_plugin_config(plugin_id: str, orchestration_config: Dict[str, Any]) -> except Exception as e: logger.warning(f"Failed to load config.yml for plugin '{plugin_id}': {e}") - # 2. Expand environment variables (reads from .env) - config = expand_env_vars(config) + # 2. Expand environment variables (per-plugin .env first, then os.environ) + plugin_env = load_plugin_env(plugin_id) + config = expand_env_vars(config, extra_env=plugin_env) # 3. Merge orchestration settings from config/plugins.yml config["enabled"] = orchestration_config.get("enabled", False) @@ -358,12 +443,17 @@ def infer_schema_from_config(plugin_id: str, config_dict: Dict[str, Any]) -> Dic return {"settings": settings_schema, "env_vars": env_vars_schema} -def mask_secrets_in_config(config: Dict[str, Any], schema: Dict[str, Any]) -> Dict[str, Any]: +def mask_secrets_in_config( + config: Dict[str, Any], + schema: Dict[str, Any], + plugin_env: Optional[Dict[str, str]] = None, +) -> Dict[str, Any]: """Mask secret values in configuration for frontend display. Args: config: Configuration dictionary with actual values schema: Schema dictionary identifying secret fields + plugin_env: Optional per-plugin env vars (checked before os.environ) Returns: Configuration with secrets masked as 'โ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ข' @@ -388,8 +478,11 @@ def mask_secrets_in_config(config: Dict[str, Any], schema: Dict[str, Any]) -> Di if isinstance(value, str): env_var = extract_env_var_name(value) if env_var and env_var in secret_env_vars: - # Check if env var is actually set - is_set = bool(os.environ.get(env_var)) + # Check if env var is set in per-plugin .env or os.environ + is_set = bool( + (plugin_env and plugin_env.get(env_var)) + or os.environ.get(env_var) + ) masked_config[key] = "โ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ข" if is_set else "" return masked_config @@ -429,24 +522,39 @@ def get_plugin_metadata( plugin_description = getattr(plugin_class, "description", "") supports_testing = hasattr(plugin_class, "test_connection") + # Load per-plugin env vars + plugin_env = load_plugin_env(plugin_id) + # Mask secrets in current config current_config = load_plugin_config(plugin_id, orchestration_config) - masked_config = mask_secrets_in_config(current_config, config_schema) + masked_config = mask_secrets_in_config(current_config, config_schema, plugin_env=plugin_env) - # Mark which env vars are set + # Mark which env vars are set (check per-plugin .env first, then os.environ) for env_var_name, env_var_schema in config_schema.get("env_vars", {}).items(): - env_var_schema["is_set"] = bool(os.environ.get(env_var_name)) + resolved = plugin_env.get(env_var_name) or os.environ.get(env_var_name) + env_var_schema["is_set"] = bool(resolved) if env_var_schema.get("secret") and env_var_schema["is_set"]: env_var_schema["value"] = "โ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ข" else: - env_var_schema["value"] = os.environ.get(env_var_name, "") - - return { + env_var_schema["value"] = resolved or "" + + # Determine runtime health status from the live router + health_status = "unknown" + health_error = None + router = get_plugin_router() + if router and plugin_id in router.plugin_health: + h = router.plugin_health[plugin_id] + health_status = h.status + health_error = h.error + elif not orchestration_config.get("enabled", False): + health_status = "disabled" + + result = { "plugin_id": plugin_id, "name": plugin_name, "description": plugin_description, "enabled": orchestration_config.get("enabled", False), - "status": "active" if orchestration_config.get("enabled", False) else "disabled", + "status": health_status, "supports_testing": supports_testing, "config_schema": config_schema, "current_config": masked_config, @@ -456,6 +564,9 @@ def get_plugin_metadata( "condition": orchestration_config.get("condition", {"type": "always"}), }, } + if health_error: + result["error"] = health_error + return result def discover_plugins() -> Dict[str, Type[BasePlugin]]: @@ -465,19 +576,21 @@ def discover_plugins() -> Dict[str, Type[BasePlugin]]: Scans the plugins directory for subdirectories containing plugin.py files. Each plugin must: 1. Have a plugin.py file with a class inheriting from BasePlugin - 2. Export the plugin class in __init__.py - 3. Plugin class name should match directory name in PascalCase + 2. Export exactly one BasePlugin subclass in __init__.py + + Discovery works by scanning module exports for BasePlugin subclasses, + so no naming convention between directory name and class name is required. Returns: Dictionary mapping plugin_id (directory name) to plugin class Example: plugins/ - โ”œโ”€โ”€ email_summarizer/ - โ”‚ โ”œโ”€โ”€ __init__.py (exports EmailSummarizerPlugin) - โ”‚ โ””โ”€โ”€ plugin.py (defines EmailSummarizerPlugin) + โ”œโ”€โ”€ homeassistant/ + โ”‚ โ”œโ”€โ”€ __init__.py (exports HomeAssistantPlugin) + โ”‚ โ””โ”€โ”€ plugin.py (defines HomeAssistantPlugin) - Returns: {'email_summarizer': EmailSummarizerPlugin} + Returns: {'homeassistant': HomeAssistantPlugin} """ discovered_plugins = {} @@ -493,9 +606,9 @@ def discover_plugins() -> Dict[str, Type[BasePlugin]]: logger.info(f"Scanning for plugins in: {plugins_dir}") - # Scan for plugin directories (skip hidden/underscore dirs) - for item in plugins_dir.iterdir(): - if not item.is_dir() or item.name.startswith("_"): + # Scan for plugin directories in deterministic order (skip hidden/underscore dirs) + for item in sorted(plugins_dir.iterdir()): + if not item.is_dir() or item.name.startswith(("_", ".")): continue plugin_id = item.name @@ -506,38 +619,41 @@ def discover_plugins() -> Dict[str, Type[BasePlugin]]: continue try: - # Convert snake_case directory name to PascalCase class name - # e.g., email_summarizer -> EmailSummarizerPlugin - class_name = "".join(word.capitalize() for word in plugin_id.split("_")) + "Plugin" - # Import the plugin package directly (it's on sys.path now) logger.debug(f"Attempting to import plugin: {plugin_id}") plugin_module = importlib.import_module(plugin_id) - # Try to get the plugin class - if not hasattr(plugin_module, class_name): + # Scan module exports for BasePlugin subclasses, deduplicate by id() + seen_ids = set() + plugin_classes = [] + for attr_name in dir(plugin_module): + attr = getattr(plugin_module, attr_name) + if ( + inspect.isclass(attr) + and issubclass(attr, BasePlugin) + and attr is not BasePlugin + and id(attr) not in seen_ids + ): + seen_ids.add(id(attr)) + plugin_classes.append(attr) + + if len(plugin_classes) == 0: logger.warning( - f"Plugin '{plugin_id}' does not export '{class_name}' in __init__.py. " - f"Make sure the class is exported: from .plugin import {class_name}" + f"Plugin '{plugin_id}': no BasePlugin subclass found in __init__.py. " + f"Make sure to export your plugin class: from .plugin import YourPlugin" ) continue - plugin_class = getattr(plugin_module, class_name) - - # Validate it's a class and inherits from BasePlugin - if not inspect.isclass(plugin_class): - logger.warning(f"'{class_name}' in '{plugin_id}' is not a class") - continue - - if not issubclass(plugin_class, BasePlugin): + if len(plugin_classes) > 1: + class_names = [cls.__name__ for cls in plugin_classes] logger.warning( - f"Plugin class '{class_name}' in '{plugin_id}' does not inherit from BasePlugin" + f"Plugin '{plugin_id}': found multiple BasePlugin subclasses " + f"{class_names}, expected exactly 1. Using first: {class_names[0]}" ) - continue - # Successfully discovered plugin + plugin_class = plugin_classes[0] discovered_plugins[plugin_id] = plugin_class - logger.info(f"Discovered plugin: '{plugin_id}' ({class_name})") + logger.info(f"Discovered plugin: '{plugin_id}' ({plugin_class.__name__})") except ImportError as e: logger.warning(f"Failed to import plugin '{plugin_id}': {e}") @@ -548,27 +664,23 @@ def discover_plugins() -> Dict[str, Type[BasePlugin]]: return discovered_plugins -def init_plugin_router() -> Optional[PluginRouter]: - """Initialize the plugin router from configuration. +def _build_plugin_router() -> Optional[PluginRouter]: + """Build a new plugin router from configuration without touching the global. - This is called during app startup to create and register the plugin router. + This is the internal builder used by both init_plugin_router() (first startup) + and reload_plugins() (hot-reload). It never reads or writes _plugin_router. Returns: - Initialized plugin router, or None if no plugins configured + Fully-built plugin router with plugins registered (but not yet async-initialized), + or None if construction fails """ - global _plugin_router - - if _plugin_router is not None: - logger.warning("Plugin router already initialized") - return _plugin_router - try: - _plugin_router = PluginRouter() + router = PluginRouter() # Load plugin configuration plugins_yml = get_plugins_yml_path() - logger.info(f"๐Ÿ” Looking for plugins config at: {plugins_yml}") - logger.info(f"๐Ÿ” File exists: {plugins_yml.exists()}") + logger.info(f"Looking for plugins config at: {plugins_yml}") + logger.info(f"File exists: {plugins_yml.exists()}") if plugins_yml.exists(): with open(plugins_yml, "r") as f: @@ -578,7 +690,7 @@ def init_plugin_router() -> Optional[PluginRouter]: plugins_data = plugins_config.get("plugins", {}) logger.info( - f"๐Ÿ” Loaded plugins config with {len(plugins_data)} plugin(s): {list(plugins_data.keys())}" + f"Loaded plugins config with {len(plugins_data)} plugin(s): {list(plugins_data.keys())}" ) # Discover all plugins via auto-discovery @@ -587,7 +699,7 @@ def init_plugin_router() -> Optional[PluginRouter]: # Initialize each plugin listed in config/plugins.yml for plugin_id, orchestration_config in plugins_data.items(): logger.info( - f"๐Ÿ” Processing plugin '{plugin_id}', enabled={orchestration_config.get('enabled', False)}" + f"Processing plugin '{plugin_id}', enabled={orchestration_config.get('enabled', False)}" ) if not orchestration_config.get("enabled", False): continue @@ -617,32 +729,53 @@ def init_plugin_router() -> Optional[PluginRouter]: except Exception as e: logger.debug(f"Plugin '{plugin_id}' prompt registration skipped: {e}") - # Note: async initialization happens in app_factory lifespan - _plugin_router.register_plugin(plugin_id, plugin) + # Note: async initialization happens in app_factory lifespan or reload_plugins + router.register_plugin(plugin_id, plugin) logger.info(f"Plugin '{plugin_id}' registered successfully") except Exception as e: logger.error(f"Failed to register plugin '{plugin_id}': {e}", exc_info=True) logger.info( - f"๐ŸŽ‰ Plugin registration complete: {len(_plugin_router.plugins)} plugin(s) registered" + f"Plugin registration complete: {len(router.plugins)} plugin(s) registered" ) else: logger.info("No plugins.yml found, plugins disabled") # Attach PluginServices for cross-plugin and system interaction redis_url = os.getenv("REDIS_URL", "redis://localhost:6379/0") - services = PluginServices(router=_plugin_router, redis_url=redis_url) - _plugin_router.set_services(services) + services = PluginServices(router=router, redis_url=redis_url) + router.set_services(services) - return _plugin_router + return router except Exception as e: - logger.error(f"Failed to initialize plugin router: {e}", exc_info=True) - _plugin_router = None + logger.error(f"Failed to build plugin router: {e}", exc_info=True) return None +def init_plugin_router() -> Optional[PluginRouter]: + """Initialize the plugin router from configuration. + + This is called during app startup to create and install the global plugin router. + For hot-reload, use reload_plugins() instead. + + Returns: + Initialized plugin router, or None if no plugins configured + """ + global _plugin_router + + if _plugin_router is not None: + logger.warning("Plugin router already initialized") + return _plugin_router + + router = _build_plugin_router() + if router: + _plugin_router = router + logger.info("Plugin router installed as global singleton") + return _plugin_router + + async def ensure_plugin_router() -> Optional[PluginRouter]: """Get or initialize the plugin router with all plugins initialized. @@ -662,8 +795,10 @@ async def ensure_plugin_router() -> Optional[PluginRouter]: for plugin_id, plugin in plugin_router.plugins.items(): try: await plugin.initialize() + plugin_router.mark_plugin_initialized(plugin_id) logger.info(f"Plugin '{plugin_id}' initialized") except Exception as e: + plugin_router.mark_plugin_failed(plugin_id, str(e)) logger.error(f"Failed to initialize plugin '{plugin_id}': {e}") return plugin_router @@ -674,9 +809,130 @@ async def cleanup_plugin_router() -> None: if _plugin_router: try: + if _plugin_router._services: + await _plugin_router._services.cleanup() await _plugin_router.cleanup_all() logger.info("Plugin router cleanup complete") except Exception as e: logger.error(f"Error during plugin router cleanup: {e}") finally: _plugin_router = None + + +async def reload_plugins(app=None) -> Dict[str, Any]: + """Hot-reload all plugins by building a new router and atomically swapping it in. + + The old router continues serving requests while the new one is being built. + The global _plugin_router is only replaced once the new router is fully + initialized, so concurrent callers of get_plugin_router() never see None. + + Steps: + 1. Purge sys.modules entries for plugin packages (so importlib re-reads from disk) + 2. Build and initialize a new router (old router still active) + 3. Atomic swap: replace global _plugin_router with the new router + 4. Clean up old plugin instances (close SMTP, HA sessions, etc.) + 5. Update app.state if app provided + + Args: + app: Optional FastAPI app instance to update app.state.plugin_router + + Returns: + Result dict with reload status, counts, and timing + """ + global _plugin_router + start = time.monotonic() + + old_router = _plugin_router + old_count = len(old_router.plugins) if old_router else 0 + + # 1. Purge sys.modules for plugin packages only (before re-importing) + plugins_dir = _get_plugins_dir() + purged_modules = [] + if plugins_dir.is_dir(): + plugin_names = { + item.name + for item in plugins_dir.iterdir() + if item.is_dir() and not item.name.startswith(("_", ".")) + } + for mod_name in list(sys.modules.keys()): + top_level = mod_name.split(".")[0] + if top_level in plugin_names: + del sys.modules[mod_name] + purged_modules.append(mod_name) + if purged_modules: + logger.info(f"Purged {len(purged_modules)} cached plugin modules") + + # 2. Build a new router (old router still serves requests during this) + new_router = _build_plugin_router() + + # 3. Initialize each plugin on the new router + initialized = [] + failed = [] + if new_router: + for plugin_id, plugin in new_router.plugins.items(): + try: + await plugin.initialize() + new_router.mark_plugin_initialized(plugin_id) + initialized.append(plugin_id) + except Exception as e: + new_router.mark_plugin_failed(plugin_id, str(e)) + failed.append({"plugin_id": plugin_id, "error": str(e)}) + logger.error(f"Failed to initialize plugin '{plugin_id}': {e}") + + # 4. Atomic swap โ€” from this point, all callers see the new router + _plugin_router = new_router + + # 5. Update app.state if provided + if app and new_router: + app.state.plugin_router = new_router + + # 6. Clean up old router *after* the swap (best-effort, never blocks the new router) + if old_router: + try: + if old_router._services: + await old_router._services.cleanup() + await old_router.cleanup_all() + except Exception as e: + logger.warning(f"Error during old plugin router cleanup: {e}") + + elapsed = time.monotonic() - start + new_count = len(new_router.plugins) if new_router else 0 + + result = { + "success": True, + "previous_plugin_count": old_count, + "new_plugin_count": new_count, + "initialized": initialized, + "failed": failed, + "purged_modules": len(purged_modules), + "elapsed_seconds": round(elapsed, 3), + } + logger.info( + f"Plugin reload complete: {new_count} plugins loaded " + f"({len(initialized)} initialized, {len(failed)} failed) in {elapsed:.3f}s" + ) + return result + + +def signal_worker_restart() -> None: + """Write a Redis key to signal the worker orchestrator to restart all workers. + + The orchestrator's HealthMonitor polls for this key and triggers a restart + when found. The key is consumed (deleted) after the restart is initiated. + + Uses its own short-lived Redis connection so it works regardless of the + plugin router's lifecycle (e.g. during or after a failed reload). + """ + try: + import redis + + redis_url = os.getenv("REDIS_URL", "redis://localhost:6379/0") + client = redis.from_url(redis_url, decode_responses=True) + try: + timestamp = time.strftime("%Y-%m-%dT%H:%M:%S") + client.set(WORKER_RESTART_KEY, timestamp) + logger.info(f"Worker restart signal sent via Redis key '{WORKER_RESTART_KEY}'") + finally: + client.close() + except Exception as e: + logger.error(f"Failed to send worker restart signal: {e}") diff --git a/backends/advanced/src/advanced_omi_backend/services/transcription/__init__.py b/backends/advanced/src/advanced_omi_backend/services/transcription/__init__.py index 48637b13..3fef570a 100644 --- a/backends/advanced/src/advanced_omi_backend/services/transcription/__init__.py +++ b/backends/advanced/src/advanced_omi_backend/services/transcription/__init__.py @@ -29,15 +29,19 @@ def _parse_hot_words_to_keyterm(hot_words_str: str) -> str: - """Convert comma-separated hot words to Deepgram keyterm format. + """Convert hot words string to Deepgram keyterm format. - Input: "hey vivi, chronicle, omi" + Splits on commas and newlines (context may arrive in either format). + + Input: "hey vivi\\nchronicle\\nomi" or "hey vivi, chronicle, omi" Output: "hey vivi Hey Vivi chronicle Chronicle omi Omi" """ if not hot_words_str or not hot_words_str.strip(): return "" + import re + terms = [] - for word in hot_words_str.split(","): + for word in re.split(r"[,\n]+", hot_words_str): word = word.strip() if not word: continue diff --git a/backends/advanced/src/advanced_omi_backend/services/transcription/context.py b/backends/advanced/src/advanced_omi_backend/services/transcription/context.py index 5eda20fd..c042da3d 100644 --- a/backends/advanced/src/advanced_omi_backend/services/transcription/context.py +++ b/backends/advanced/src/advanced_omi_backend/services/transcription/context.py @@ -31,9 +31,21 @@ class TranscriptionContext: @property def combined(self) -> str: - """Comma-separated string suitable for passing to ASR providers.""" - parts = [p.strip() for p in [self.hot_words, self.user_jargon] if p and p.strip()] - return ", ".join(parts) + """Newline-separated context string for ASR providers. + + VibeVoice training data uses newline-separated ``customized_context`` + items (proper nouns, domain terms, full contextual sentences). + Each comma-separated hot word / jargon term becomes its own line. + """ + items: list[str] = [] + for source in [self.hot_words, self.user_jargon]: + if not source or not source.strip(): + continue + for token in source.split(","): + token = token.strip() + if token: + items.append(token) + return "\n".join(items) def to_metadata(self) -> dict: """Return a dict suitable for Langfuse span metadata.""" @@ -88,7 +100,7 @@ async def get_asr_context(user_id: Optional[str] = None) -> str: user_id: If provided, also look up per-user jargon from Redis. Returns: - Comma-separated string of context terms for the ASR provider. + Newline-separated context string for ASR providers. """ ctx = await gather_transcription_context(user_id) return ctx.combined diff --git a/backends/advanced/src/advanced_omi_backend/speaker_recognition_client.py b/backends/advanced/src/advanced_omi_backend/speaker_recognition_client.py index ea8510fe..72249271 100644 --- a/backends/advanced/src/advanced_omi_backend/speaker_recognition_client.py +++ b/backends/advanced/src/advanced_omi_backend/speaker_recognition_client.py @@ -356,20 +356,13 @@ async def identify_provider_segments( MAX_SAMPLES_PER_LABEL = 3 - # Detect non-speech segments (e.g. [Music], [Environmental Sounds], [Human Sounds]) - import re - NON_SPEECH_PATTERN = re.compile(r"^\[.*\]$") + from advanced_omi_backend.utils.segment_utils import is_non_speech def _is_non_speech(seg: Dict) -> bool: - text = seg.get("text", "").strip() - if not text: - return True - if NON_SPEECH_PATTERN.match(text): - return True - label = str(seg.get("speaker", "")) - if label in ("None", "none", ""): - return True - return False + return is_non_speech( + seg.get("text", ""), + str(seg.get("speaker", "")), + ) # Separate speech and non-speech segments speech_segments = [] diff --git a/backends/advanced/src/advanced_omi_backend/utils/conversation_utils.py b/backends/advanced/src/advanced_omi_backend/utils/conversation_utils.py index 4ceaee51..e658fa8a 100644 --- a/backends/advanced/src/advanced_omi_backend/utils/conversation_utils.py +++ b/backends/advanced/src/advanced_omi_backend/utils/conversation_utils.py @@ -13,6 +13,7 @@ from advanced_omi_backend.config import get_speech_detection_settings from advanced_omi_backend.llm_client import async_generate +from advanced_omi_backend.prompt_optimizer import get_user_prompt from advanced_omi_backend.prompt_registry import get_prompt_registry logger = logging.getLogger(__name__) @@ -160,7 +161,9 @@ def analyze_speech(transcript_data: dict) -> dict: async def generate_title_and_summary( - text: str, segments: Optional[list] = None + text: str, + segments: Optional[list] = None, + user_id: Optional[str] = None, ) -> tuple[str, str]: """ Generate title and short summary in a single LLM call using full conversation context. @@ -170,6 +173,7 @@ async def generate_title_and_summary( segments: Optional list of speaker segments with structure: [{"speaker": str, "text": str, "start": float, "end": float}, ...] If provided, uses speaker-formatted text for richer context + user_id: Optional user ID for per-user prompt override resolution Returns: Tuple of (title, short_summary) @@ -205,9 +209,9 @@ async def generate_title_and_summary( else "" ) - registry = get_prompt_registry() - prompt_text = await registry.get_prompt( + prompt_text = await get_user_prompt( "conversation.title_summary", + user_id, speaker_instruction=speaker_instruction, ) @@ -217,7 +221,7 @@ async def generate_title_and_summary( "{conversation_text}" """ - response = await async_generate(prompt, temperature=0.3) + response = await async_generate(prompt, operation="title_summary") # Parse response for Title: and Summary: lines title = None @@ -324,7 +328,7 @@ async def generate_detailed_summary( "{conversation_text}" """ - summary = await async_generate(prompt, temperature=0.3) + summary = await async_generate(prompt, operation="detailed_summary") return summary.strip().strip('"').strip("'") or "No meaningful content to summarize" except Exception as e: diff --git a/backends/advanced/src/advanced_omi_backend/utils/segment_utils.py b/backends/advanced/src/advanced_omi_backend/utils/segment_utils.py new file mode 100644 index 00000000..69832fec --- /dev/null +++ b/backends/advanced/src/advanced_omi_backend/utils/segment_utils.py @@ -0,0 +1,61 @@ +""" +Shared utilities for segment classification and non-speech detection. + +Used by transcription pipeline, speaker recognition, and annotation system. +""" + +import re + +# Matches text that is entirely a bracketed tag like [laughter], [Music], [Environmental Sounds] +NON_SPEECH_PATTERN = re.compile(r"^\[.*\]$") + + +def classify_segment_text(text: str) -> str: + """ + Classify segment text as speech, event, or mixed. + + Returns: + "event" โ€” entire text is a non-speech tag like [laughter] + "mixed" โ€” text contains both speech and non-speech tokens + "speech" โ€” normal speech text + """ + text = text.strip() + if not text: + return "event" + + if NON_SPEECH_PATTERN.match(text): + return "event" + + # Check if text contains any bracketed tokens mixed with speech + if re.search(r"\[.*?\]", text): + # Has bracketed tokens but also has other content + stripped = re.sub(r"\[.*?\]", "", text).strip() + if stripped: + return "mixed" + return "event" + + return "speech" + + +def strip_non_speech_tokens(text: str) -> str: + """Remove bracketed non-speech tokens from text, returning speech-only content.""" + return re.sub(r"\[.*?\]", "", text).strip() + + +def is_non_speech(text: str, speaker: str = "") -> bool: + """ + Check if a segment represents non-speech content. + + A segment is non-speech if: + - Text is empty + - Text is entirely a bracketed tag like [Music] + - Speaker label is None/empty + """ + text = text.strip() + if not text: + return True + if NON_SPEECH_PATTERN.match(text): + return True + if speaker in ("None", "none", ""): + return True + return False diff --git a/backends/advanced/src/advanced_omi_backend/workers/audio_jobs.py b/backends/advanced/src/advanced_omi_backend/workers/audio_jobs.py index f124feb8..757bf29b 100644 --- a/backends/advanced/src/advanced_omi_backend/workers/audio_jobs.py +++ b/backends/advanced/src/advanced_omi_backend/workers/audio_jobs.py @@ -28,6 +28,7 @@ async def audio_streaming_persistence_job( session_id: str, user_id: str, client_id: str, + always_persist: bool = False, *, redis_client=None ) -> Dict[str, Any]: @@ -43,6 +44,8 @@ async def audio_streaming_persistence_job( session_id: Stream session ID user_id: User ID client_id: Client ID + always_persist: Whether to create placeholder conversation immediately + (read from global config at enqueue time by backend) redis_client: Redis client (injected by decorator) Returns: @@ -50,13 +53,9 @@ async def audio_streaming_persistence_job( Note: - Replaces disk-based WAV file storage with MongoDB chunk storage. - - Reads always_persist_enabled from global config to determine whether to - create placeholder conversations immediately. + - always_persist is passed by the backend at enqueue time to avoid + cross-process config cache issues. """ - # Read always_persist setting from global config - from advanced_omi_backend.config import get_misc_settings - misc_settings = get_misc_settings() - always_persist = misc_settings.get('always_persist_enabled', False) logger.info(f"๐ŸŽต Starting MongoDB audio persistence for session {session_id} (always_persist={always_persist})") diff --git a/backends/advanced/src/advanced_omi_backend/workers/conversation_jobs.py b/backends/advanced/src/advanced_omi_backend/workers/conversation_jobs.py index 9b5077e6..83bcf344 100644 --- a/backends/advanced/src/advanced_omi_backend/workers/conversation_jobs.py +++ b/backends/advanced/src/advanced_omi_backend/workers/conversation_jobs.py @@ -902,7 +902,9 @@ async def generate_title_summary_job(conversation_id: str, *, redis_client=None) import asyncio (title, short_summary), detailed_summary = await asyncio.gather( - generate_title_and_summary(transcript_text, segments=segments), + generate_title_and_summary( + transcript_text, segments=segments, user_id=conversation.user_id + ), generate_detailed_summary( transcript_text, segments=segments, memory_context=memory_context ), diff --git a/backends/advanced/src/advanced_omi_backend/workers/finetuning_jobs.py b/backends/advanced/src/advanced_omi_backend/workers/finetuning_jobs.py index 83c82bfa..9b6691c9 100644 --- a/backends/advanced/src/advanced_omi_backend/workers/finetuning_jobs.py +++ b/backends/advanced/src/advanced_omi_backend/workers/finetuning_jobs.py @@ -3,15 +3,19 @@ Jobs: - speaker_finetuning: sends applied diarization annotations to speaker service + - asr_finetuning: exports annotated conversations to VibeVoice ASR for LoRA fine-tuning - asr_jargon_extraction: extracts jargon from recent memories, caches in Redis """ +import io +import json import logging import os import time from datetime import datetime, timezone from typing import Optional +import httpx import redis.asyncio as aioredis from advanced_omi_backend.llm_client import async_generate @@ -150,7 +154,178 @@ async def run_speaker_finetuning_job() -> dict: # --------------------------------------------------------------------------- -# Job 2: ASR Jargon Extraction +# Job 2: ASR Fine-tuning (VibeVoice LoRA) +# --------------------------------------------------------------------------- + +_ASR_TRAINING_MARKER = "asr_training" + + +def _build_vibevoice_label(conversation) -> dict: + """Convert Chronicle conversation to VibeVoice training label format. + + Maps SpeakerSegment data to the JSON structure expected by VibeVoice's + LoRA fine-tuning scripts: speaker ints, timestamped segments with text. + """ + transcript = conversation.active_transcript + if not transcript: + return {} + + speaker_map: dict[str, int] = {} + segments = [] + for seg in transcript.segments: + speaker_id = speaker_map.setdefault(seg.speaker, len(speaker_map)) + segments.append({ + "speaker": speaker_id, + "text": seg.text, + "start": round(seg.start, 2), + "end": round(seg.end, 2), + }) + + return { + "audio_path": f"{conversation.conversation_id}.wav", + "audio_duration": conversation.audio_total_duration, + "segments": segments, + } + + +async def run_asr_finetuning_job() -> dict: + """Export annotated conversations to VibeVoice ASR service for LoRA fine-tuning. + + Finds transcript and diarization annotations that have been applied but not + yet consumed by ASR training. Groups by conversation, reconstructs WAV audio, + builds VibeVoice training labels, and POSTs to the ASR service's /fine-tune endpoint. + """ + from advanced_omi_backend.model_registry import get_models_registry + from advanced_omi_backend.models.annotation import Annotation, AnnotationType + from advanced_omi_backend.models.conversation import Conversation + from advanced_omi_backend.utils.audio_chunk_utils import reconstruct_wav_from_conversation + + # Resolve STT service URL from model registry (same URL used for transcription) + registry = get_models_registry() + stt_model = registry.get_default("stt") if registry else None + if not stt_model or not stt_model.model_url: + logger.warning("ASR finetuning: no STT model configured in registry, skipping") + return {"conversations_exported": 0, "annotations_consumed": 0, "message": "No STT model configured"} + + vibevoice_url = stt_model.model_url.rstrip("/") + + # Find applied annotations (TRANSCRIPT and DIARIZATION) not yet consumed by ASR training + annotations = await Annotation.find( + {"annotation_type": {"$in": [AnnotationType.TRANSCRIPT.value, AnnotationType.DIARIZATION.value]}}, + Annotation.processed == True, + ).to_list() + + ready = [ + a for a in annotations + if not a.processed_by or _ASR_TRAINING_MARKER not in a.processed_by + ] + + if not ready: + logger.info("ASR finetuning: no annotations ready for export") + return {"conversations_exported": 0, "annotations_consumed": 0, "message": "No annotations ready"} + + # Group annotations by conversation_id + by_conversation: dict[str, list[Annotation]] = {} + for a in ready: + if a.conversation_id: + by_conversation.setdefault(a.conversation_id, []).append(a) + + exported = 0 + consumed = 0 + errors = 0 + + # Optionally load cached jargon for customized_context + redis_client = aioredis.from_url(REDIS_URL, decode_responses=True) + + try: + async with httpx.AsyncClient(timeout=300) as client: + for conv_id, conv_annotations in by_conversation.items(): + try: + conversation = await Conversation.find_one( + Conversation.conversation_id == conv_id + ) + if not conversation or not conversation.active_transcript: + logger.warning(f"ASR finetuning: conversation {conv_id} not found or no transcript") + errors += 1 + continue + + if not conversation.active_transcript.segments: + logger.info(f"ASR finetuning: conversation {conv_id} has no segments, skipping") + continue + + # Reconstruct full WAV audio + wav_data = await reconstruct_wav_from_conversation(conv_id) + if not wav_data: + logger.warning(f"ASR finetuning: no audio for conversation {conv_id}") + errors += 1 + continue + + # Build training label + label = _build_vibevoice_label(conversation) + if not label.get("segments"): + logger.info(f"ASR finetuning: no segments in label for {conv_id}, skipping") + continue + + # Try to add jargon context from Redis cache + if conversation.user_id: + jargon = await redis_client.get(f"asr:jargon:{conversation.user_id}") + if jargon: + label["customized_context"] = [t.strip() for t in jargon.split(",") if t.strip()] + + # POST to VibeVoice /fine-tune endpoint + files = { + "audio_files": (f"{conv_id}.wav", io.BytesIO(wav_data), "audio/wav"), + } + data = {"labels": json.dumps([label])} + + response = await client.post( + f"{vibevoice_url}/fine-tune", + files=files, + data=data, + ) + + if response.status_code == 200: + exported += 1 + logger.info(f"ASR finetuning: exported conversation {conv_id}") + else: + logger.error( + f"ASR finetuning: failed to export {conv_id}: " + f"{response.status_code} {response.text[:200]}" + ) + errors += 1 + continue + + # Mark annotations as consumed + for ann in conv_annotations: + ann.processed_by = ( + f"{ann.processed_by},{_ASR_TRAINING_MARKER}" + if ann.processed_by + else _ASR_TRAINING_MARKER + ) + ann.updated_at = datetime.now(timezone.utc) + await ann.save() + consumed += 1 + + except Exception as e: + logger.error(f"ASR finetuning: error processing conversation {conv_id}: {e}") + errors += 1 + + finally: + await redis_client.close() + + logger.info( + f"ASR finetuning complete: {exported} conversations exported, " + f"{consumed} annotations consumed, {errors} errors" + ) + return { + "conversations_exported": exported, + "annotations_consumed": consumed, + "errors": errors, + } + + +# --------------------------------------------------------------------------- +# Job 3: ASR Jargon Extraction # --------------------------------------------------------------------------- async def run_asr_jargon_extraction_job() -> dict: diff --git a/backends/advanced/src/advanced_omi_backend/workers/memory_jobs.py b/backends/advanced/src/advanced_omi_backend/workers/memory_jobs.py index 8bf6d27b..53f0a103 100644 --- a/backends/advanced/src/advanced_omi_backend/workers/memory_jobs.py +++ b/backends/advanced/src/advanced_omi_backend/workers/memory_jobs.py @@ -169,9 +169,18 @@ async def process_memory_job(conversation_id: str, *, redis_client=None) -> Dict for segment in segments: text = segment.text.strip() speaker = segment.speaker + seg_type = getattr(segment, 'segment_type', 'speech') if text: - dialogue_lines.append(f"{speaker}: {text}") - if speaker and speaker != "Unknown": + if seg_type == "event": + # Non-speech event: include as context marker without speaker prefix + dialogue_lines.append(f"[{text}]" if not text.startswith("[") else text) + elif seg_type == "note": + # User-inserted note: include as distinct context + dialogue_lines.append(f"[Note: {text}]") + else: + # Normal speech segment + dialogue_lines.append(f"{speaker}: {text}") + if speaker and speaker != "Unknown" and seg_type == "speech": transcript_speakers.add(speaker.strip().lower()) full_conversation = "\n".join(dialogue_lines) diff --git a/backends/advanced/src/advanced_omi_backend/workers/orchestrator/health_monitor.py b/backends/advanced/src/advanced_omi_backend/workers/orchestrator/health_monitor.py index 310999c6..3cec3810 100644 --- a/backends/advanced/src/advanced_omi_backend/workers/orchestrator/health_monitor.py +++ b/backends/advanced/src/advanced_omi_backend/workers/orchestrator/health_monitor.py @@ -13,6 +13,8 @@ from redis import Redis from rq import Worker +from advanced_omi_backend.services.plugin_service import WORKER_RESTART_KEY + from .config import OrchestratorConfig, WorkerType from .process_manager import ProcessManager, WorkerState @@ -44,6 +46,7 @@ def __init__( self.start_time = time.time() self.last_registration_recovery: Optional[float] = None self.registration_recovery_cooldown = 60 # seconds + self.last_plugin_reload_restart: Optional[float] = None async def start(self): """Start the health monitoring loop""" @@ -108,6 +111,11 @@ async def _monitor_loop(self): async def _check_health(self): """Perform all health checks and restart failed workers""" try: + # Check for plugin reload restart signal first + if self._check_restart_signal(): + # Workers are restarting โ€” skip normal health checks this iteration + return + # Check individual worker health worker_health = self._check_worker_health() @@ -130,6 +138,67 @@ async def _check_health(self): except Exception as e: logger.error(f"Error during health check: {e}", exc_info=True) + def _check_restart_signal(self) -> bool: + """Check Redis for a plugin-reload restart signal and restart all workers if found. + + Returns: + True if a restart was triggered, False otherwise + """ + try: + signal_value = self.redis.get(WORKER_RESTART_KEY) + if signal_value is None: + return False + + # Consume the signal immediately + self.redis.delete(WORKER_RESTART_KEY) + logger.info( + f"Plugin reload restart signal received (set at {signal_value}) " + "โ€” restarting all workers" + ) + + self._restart_all_workers() + self.last_plugin_reload_restart = time.time() + return True + + except Exception as e: + logger.error(f"Error checking restart signal: {e}") + return False + + def _restart_all_workers(self) -> bool: + """Restart ALL workers (RQ + streaming) for plugin reload. + + Unlike _restart_all_rq_workers which only restarts RQ workers, + this restarts every managed worker since plugin changes can affect + any worker type. + + Returns: + True if all workers restarted successfully + """ + all_workers = list(self.process_manager.get_all_workers()) + if not all_workers: + logger.warning("No workers found to restart") + return False + + start_time = time.time() + logger.info(f"Restarting all {len(all_workers)} workers for plugin reload") + + all_success = True + for i, worker in enumerate(all_workers, 1): + logger.info(f" [{i}/{len(all_workers)}] Restarting {worker.name}...") + success = self.process_manager.restart_worker(worker.name) + if success: + logger.info(f" [{i}/{len(all_workers)}] {worker.name} restarted") + else: + logger.error(f" [{i}/{len(all_workers)}] {worker.name} restart failed") + all_success = False + + elapsed = time.time() - start_time + logger.info( + f"Plugin reload worker restart complete: " + f"{len(all_workers)} workers in {elapsed:.2f}s" + ) + return all_success + def _check_worker_health(self) -> bool: """ Check individual worker health. diff --git a/backends/advanced/src/advanced_omi_backend/workers/orchestrator/worker_registry.py b/backends/advanced/src/advanced_omi_backend/workers/orchestrator/worker_registry.py index c28b2727..3bbf93cc 100644 --- a/backends/advanced/src/advanced_omi_backend/workers/orchestrator/worker_registry.py +++ b/backends/advanced/src/advanced_omi_backend/workers/orchestrator/worker_registry.py @@ -52,8 +52,6 @@ def build_worker_definitions() -> List[WorkerDefinition]: WorkerDefinition( name=f"rq-worker-{i}", command=[ - "uv", - "run", "python", "-m", "advanced_omi_backend.workers.rq_worker_entry", @@ -74,8 +72,6 @@ def build_worker_definitions() -> List[WorkerDefinition]: WorkerDefinition( name=f"audio-persistence-{i}", command=[ - "uv", - "run", "python", "-m", "advanced_omi_backend.workers.rq_worker_entry", @@ -94,8 +90,6 @@ def build_worker_definitions() -> List[WorkerDefinition]: WorkerDefinition( name="streaming-stt", command=[ - "uv", - "run", "python", "-m", "advanced_omi_backend.workers.audio_stream_worker", diff --git a/backends/advanced/src/advanced_omi_backend/workers/prompt_optimization_jobs.py b/backends/advanced/src/advanced_omi_backend/workers/prompt_optimization_jobs.py new file mode 100644 index 00000000..c98285a3 --- /dev/null +++ b/backends/advanced/src/advanced_omi_backend/workers/prompt_optimization_jobs.py @@ -0,0 +1,260 @@ +"""Cron job for annotation-driven prompt optimization. + +Analyzes accumulated user corrections (title edits, memory edits) and uses a +meta-optimizer LLM to rewrite the target prompts. Improved prompts are stored +in LangFuse as per-user overrides that ``get_user_prompt()`` resolves at +inference time. + +Requires LangFuse to be configured (LANGFUSE_* env vars). Logs a warning and +returns early if LangFuse is unavailable. +""" + +import logging +import re +from collections import defaultdict +from datetime import datetime, timezone +from typing import Any, Dict, List + +from advanced_omi_backend.llm_client import async_generate +from advanced_omi_backend.prompt_optimizer import ANNOTATION_PROMPT_MAP, get_user_prompt + +logger = logging.getLogger(__name__) + +# Minimum number of unprocessed annotations per user before running the optimizer +MIN_ANNOTATIONS = 3 + +# Marker appended to processed_by so we don't re-process the same annotations +_PROCESSED_MARKER = "prompt_optimization" + + +async def run_prompt_optimization_job() -> dict: + """Analyze user annotations and optimize LLM prompts. + + For each annotation type in ``ANNOTATION_PROMPT_MAP``: + 1. Query accepted annotations not yet consumed by prompt_optimization. + 2. Group by ``user_id``. + 3. For each user with >= ``MIN_ANNOTATIONS`` corrections, call the + meta-optimizer LLM to produce a revised prompt. + 4. Store the result in LangFuse as ``{prompt_id}:user:{user_id}``. + 5. Mark consumed annotations. + + Returns: + Summary dict with counts of users/annotations processed. + """ + from advanced_omi_backend.models.annotation import ( + Annotation, + AnnotationStatus, + AnnotationType, + ) + from advanced_omi_backend.prompt_registry import get_prompt_registry + + registry = get_prompt_registry() + langfuse_client = registry._get_client() + + if langfuse_client is None: + logger.warning( + "Prompt optimization: LangFuse not configured โ€” skipping" + ) + return {"skipped": True, "reason": "LangFuse not available"} + + total_users = 0 + total_annotations = 0 + errors = 0 + + for ann_type, prompt_ids in ANNOTATION_PROMPT_MAP.items(): + target_prompt_id = prompt_ids["target_prompt"] + optimizer_prompt_id = prompt_ids["optimizer_prompt"] + + # Fetch accepted annotations not yet consumed by this job + all_annotations = await Annotation.find( + Annotation.annotation_type == ann_type, + Annotation.status == AnnotationStatus.ACCEPTED, + ).to_list() + + unconsumed = [ + a + for a in all_annotations + if not a.processed_by or _PROCESSED_MARKER not in a.processed_by + ] + + if not unconsumed: + logger.info( + f"Prompt optimization [{ann_type.value}]: no unprocessed annotations" + ) + continue + + # Group by user_id + by_user: Dict[str, List[Annotation]] = defaultdict(list) + for ann in unconsumed: + by_user[ann.user_id].append(ann) + + for user_id, annotations in by_user.items(): + if len(annotations) < MIN_ANNOTATIONS: + logger.info( + f"Prompt optimization [{ann_type.value}]: user {user_id} " + f"has {len(annotations)} annotations (< {MIN_ANNOTATIONS}), skipping" + ) + continue + + try: + # Get current effective prompt for this user + current_prompt = await get_user_prompt( + target_prompt_id, + user_id, + ) + + # Format corrections + formatted = _format_corrections(annotations, ann_type) + + # Get the meta-optimizer prompt + optimizer_prompt = await registry.get_prompt( + optimizer_prompt_id, + current_prompt=current_prompt, + count=str(len(annotations)), + formatted_corrections=formatted, + ) + + # Call meta-optimizer LLM + response = await async_generate( + optimizer_prompt, + operation="prompt_optimization", + ) + + if not response: + logger.warning( + f"Prompt optimization [{ann_type.value}]: " + f"empty LLM response for user {user_id}" + ) + errors += 1 + continue + + # Parse response + analysis, revised_prompt = _parse_optimizer_response(response) + + if not revised_prompt: + logger.warning( + f"Prompt optimization [{ann_type.value}]: " + f"could not parse revised prompt for user {user_id}" + ) + errors += 1 + continue + + # Store in LangFuse as user-scoped prompt + user_prompt_name = f"{target_prompt_id}:user:{user_id}" + try: + langfuse_client.create_prompt( + name=user_prompt_name, + type="text", + prompt=revised_prompt, + labels=["user-override"], + config={ + "analysis": analysis, + "annotation_count": len(annotations), + "annotation_type": ann_type.value, + "optimized_at": datetime.now(timezone.utc).isoformat(), + }, + ) + logger.info( + f"Created new LangFuse prompt '{user_prompt_name}'" + ) + except Exception as e: + err_msg = str(e).lower() + if "already exists" in err_msg or "409" in err_msg: + # Prompt already exists โ€” create a new version + langfuse_client.create_prompt( + name=user_prompt_name, + type="text", + prompt=revised_prompt, + labels=["user-override"], + config={ + "analysis": analysis, + "annotation_count": len(annotations), + "annotation_type": ann_type.value, + "optimized_at": datetime.now(timezone.utc).isoformat(), + }, + is_active=True, + ) + logger.info( + f"Updated LangFuse prompt '{user_prompt_name}' (new version)" + ) + else: + raise + + # Mark annotations as consumed + for ann in annotations: + ann.processed_by = ( + f"{ann.processed_by},{_PROCESSED_MARKER}" + if ann.processed_by + else _PROCESSED_MARKER + ) + ann.updated_at = datetime.now(timezone.utc) + await ann.save() + + total_users += 1 + total_annotations += len(annotations) + logger.info( + f"Prompt optimization [{ann_type.value}]: optimized for user {user_id} " + f"({len(annotations)} annotations)" + ) + + except Exception as e: + logger.error( + f"Prompt optimization [{ann_type.value}]: " + f"error for user {user_id}: {e}", + exc_info=True, + ) + errors += 1 + + logger.info( + f"Prompt optimization complete: {total_users} users, " + f"{total_annotations} annotations processed, {errors} errors" + ) + return { + "users_optimized": total_users, + "annotations_processed": total_annotations, + "errors": errors, + } + + +def _format_corrections( + annotations: list, + ann_type: "AnnotationType", +) -> str: + """Format annotations as numbered correction examples for the meta-optimizer.""" + lines = [] + for i, ann in enumerate(annotations, 1): + lines.append(f"{i}. Original: {ann.original_text}") + lines.append(f" Corrected: {ann.corrected_text}") + lines.append("") + return "\n".join(lines) + + +def _parse_optimizer_response(response: str) -> tuple: + """Extract analysis and revised prompt from meta-optimizer output. + + Expected format:: + + ANALYSIS: + + + REVISED_PROMPT: + + + Returns: + (analysis_text, revised_prompt_text) โ€” either may be empty string + """ + analysis = "" + revised_prompt = "" + + # Split on REVISED_PROMPT: marker + match = re.split(r"REVISED_PROMPT:\s*\n?", response, maxsplit=1) + if len(match) == 2: + before_revised = match[0] + revised_prompt = match[1].strip() + + # Extract ANALYSIS: from the first part + analysis_match = re.split(r"ANALYSIS:\s*\n?", before_revised, maxsplit=1) + if len(analysis_match) == 2: + analysis = analysis_match[1].strip() + + return analysis, revised_prompt diff --git a/backends/advanced/src/advanced_omi_backend/workers/speaker_jobs.py b/backends/advanced/src/advanced_omi_backend/workers/speaker_jobs.py index bfe38c62..e8654caa 100644 --- a/backends/advanced/src/advanced_omi_backend/workers/speaker_jobs.py +++ b/backends/advanced/src/advanced_omi_backend/workers/speaker_jobs.py @@ -322,10 +322,15 @@ async def recognise_speakers_job( if transcript_version.segments and not can_run_pyannote: # Have existing segments and can't/shouldn't run pyannote - do identification only # Covers: provider already diarized, no word timestamps but segments exist, etc. - logger.info(f"๐ŸŽค Using segment-level speaker identification on {len(transcript_version.segments)} existing segments") + # Only send speech segments for identification; skip event/note segments + speech_segments = [s for s in transcript_version.segments if getattr(s, 'segment_type', 'speech') == 'speech'] + logger.info( + f"๐ŸŽค Using segment-level speaker identification on {len(speech_segments)} speech segments " + f"(skipped {len(transcript_version.segments) - len(speech_segments)} non-speech)" + ) segments_data = [ {"start": s.start, "end": s.end, "text": s.text, "speaker": s.speaker} - for s in transcript_version.segments + for s in speech_segments ] speaker_result = await speaker_client.identify_provider_segments( conversation_id=conversation_id, @@ -500,12 +505,18 @@ async def recognise_speakers_job( for w in words_data ] + # Classify segment type from content + from advanced_omi_backend.utils.segment_utils import classify_segment_text + seg_classification = classify_segment_text(text) + seg_type = "event" if seg_classification == "event" else "speech" + updated_segments.append( Conversation.SpeakerSegment( start=seg.get("start", 0), end=seg.get("end", 0), text=text, - speaker=speaker_name, + speaker="" if seg_type == "event" else speaker_name, + segment_type=seg_type, identified_as=seg.get("identified_as"), confidence=seg.get("confidence"), words=segment_words # Use words from speaker service @@ -515,6 +526,23 @@ async def recognise_speakers_job( if empty_segment_count > 0: logger.info(f"๐Ÿ”‡ Filtered out {empty_segment_count} empty segments from speaker recognition") + # Re-insert non-speech segments (event/note) that were skipped during identification + # They need to be merged back into position based on timestamps + non_speech_segments = [ + s for s in transcript_version.segments + if getattr(s, 'segment_type', 'speech') != 'speech' + ] + if non_speech_segments: + for ns_seg in non_speech_segments: + # Find correct insertion position based on start time + insert_pos = len(updated_segments) + for i, seg in enumerate(updated_segments): + if seg.start > ns_seg.start: + insert_pos = i + break + updated_segments.insert(insert_pos, ns_seg) + logger.info(f"๐ŸŽค Re-inserted {len(non_speech_segments)} non-speech segments") + # Update the transcript version transcript_version.segments = updated_segments diff --git a/backends/advanced/src/advanced_omi_backend/workers/transcription_jobs.py b/backends/advanced/src/advanced_omi_backend/workers/transcription_jobs.py index f2dda207..0836c4cb 100644 --- a/backends/advanced/src/advanced_omi_backend/workers/transcription_jobs.py +++ b/backends/advanced/src/advanced_omi_backend/workers/transcription_jobs.py @@ -21,7 +21,7 @@ from rq.exceptions import NoSuchJobError from rq.job import Job -from advanced_omi_backend.config import get_backend_config +from advanced_omi_backend.config import get_backend_config, get_transcription_job_timeout from advanced_omi_backend.controllers.queue_controller import ( JOB_RESULT_TTL, REDIS_URL, @@ -414,6 +414,8 @@ async def transcribe_full_audio_job( if segments: # Provider returned segments - use them + from advanced_omi_backend.utils.segment_utils import classify_segment_text + speaker_segments = [] for seg in segments: raw_speaker = seg.get("speaker") @@ -423,12 +425,22 @@ async def transcribe_full_audio_job( speaker = f"Speaker {raw_speaker}" else: speaker = str(raw_speaker) + + # Classify segment as speech/event based on content + text = seg.get("text", "") + classification = classify_segment_text(text) + seg_type = "speech" + if classification == "event": + seg_type = "event" + speaker = "" # No speaker for non-speech events + speaker_segments.append( Conversation.SpeakerSegment( speaker=speaker, start=seg.get("start", 0.0), end=seg.get("end", 0.0), - text=seg.get("text", ""), + text=text, + segment_type=seg_type, ) ) @@ -528,7 +540,7 @@ async def transcribe_full_audio_job( {transcript_text[:2000]}""" logger.info(f"๐Ÿค– Generating title/summary using LLM for conversation {conversation_id}") - llm_response = await async_generate(prompt, temperature=0.7) + llm_response = await async_generate(prompt, operation="title_summary") # Parse LLM response lines = llm_response.strip().split("\n") @@ -676,7 +688,7 @@ async def create_audio_only_conversation( @async_job(redis=True, beanie=True) async def transcription_fallback_check_job( - session_id: str, user_id: str, client_id: str, timeout_seconds: int = 900, *, redis_client=None + session_id: str, user_id: str, client_id: str, timeout_seconds: int = None, *, redis_client=None ) -> Dict[str, Any]: """ Check if streaming transcription succeeded, fallback to batch if needed. @@ -695,6 +707,9 @@ async def transcription_fallback_check_job( Returns: Dict with status (pass_through or batch_fallback_completed) and conversation details """ + if timeout_seconds is None: + timeout_seconds = get_transcription_job_timeout() + logger.info(f"๐Ÿ” Checking transcription status for session {session_id[:12]}") # Find conversation by session_id (client_id for streaming sessions) @@ -859,7 +874,7 @@ async def transcription_fallback_check_job( conversation.conversation_id, version_id, "batch_fallback", - job_timeout=900, # 15 minutes + job_timeout=get_transcription_job_timeout(), job_id=f"transcribe_{conversation.conversation_id[:12]}", description=f"Batch transcription fallback for {session_id[:8]}", meta={"session_id": session_id, "client_id": client_id}, @@ -1280,13 +1295,14 @@ async def stream_speech_detection_job( # Enqueue fallback check job for failed streaming sessions # This will attempt batch transcription as a fallback + config_timeout = get_transcription_job_timeout() fallback_job = transcription_queue.enqueue( transcription_fallback_check_job, session_id, user_id, client_id, - timeout_seconds=900, # 15 minutes for batch transcription - job_timeout=1200, # 20 minutes job timeout (includes overhead for fallback check) + timeout_seconds=config_timeout, + job_timeout=config_timeout + 300, # Extra 5 min overhead for fallback check job_id=f"fallback_check_{session_id[:12]}", description=f"Transcription fallback check for {session_id[:8]} (no speech)", meta={"session_id": session_id, "client_id": client_id, "no_speech": True}, diff --git a/backends/advanced/src/scripts/cleanup_state.py b/backends/advanced/src/scripts/cleanup_state.py index 690abdc5..49bfd332 100644 --- a/backends/advanced/src/scripts/cleanup_state.py +++ b/backends/advanced/src/scripts/cleanup_state.py @@ -1,32 +1,27 @@ #!/usr/bin/env python3 """ -Backend State Cleanup Script for Chronicle - -This script provides comprehensive cleanup of Chronicle backend data including: -- MongoDB collections (conversations, audio_chunks) -- Qdrant vector store (memories) -- Neo4j knowledge graph (entities, relationships, promises) -- Redis job queues and registries -- Legacy WAV files (backward compatibility) +Chronicle Backend Cleanup & Backup Tool Features: -- Optional backup before cleanup (metadata and/or full audio export) -- Dry-run mode for safe preview -- User account preservation by default -- Confirmation prompts with detailed warnings +- Rich terminal UI with progress bars, panels, and colored output +- Backup-only mode (no cleanup) +- Strict backup verification before cleanup proceeds +- Conversation-filtered audio export (only conversations with transcripts) +- Comprehensive backup manifest with checksums +- MongoDB, Qdrant, Neo4j, Redis cleanup """ import argparse import asyncio +import hashlib import json import logging import os -import shutil import struct import sys from datetime import datetime from pathlib import Path -from typing import Any, Dict, List, Optional, Tuple +from typing import Any, Optional # Add parent directory to path for imports sys.path.insert(0, str(Path(__file__).parent.parent.parent)) @@ -38,8 +33,15 @@ from neo4j import GraphDatabase from qdrant_client import AsyncQdrantClient from qdrant_client.models import Distance, VectorParams + from rich.console import Console + from rich.panel import Panel + from rich.progress import BarColumn, Progress, SpinnerColumn, TextColumn, TimeElapsedColumn + from rich.prompt import Confirm + from rich.table import Table + from rich.text import Text from rq import Queue + from advanced_omi_backend.models.annotation import Annotation from advanced_omi_backend.models.audio_chunk import AudioChunkDocument from advanced_omi_backend.models.conversation import Conversation from advanced_omi_backend.models.user import User @@ -50,412 +52,548 @@ print("This script must be run inside the chronicle-backend container") sys.exit(1) -# Configure logging -logging.basicConfig( - level=logging.INFO, - format='%(asctime)s - %(levelname)s - %(message)s' -) +logging.basicConfig(level=logging.WARNING, format="%(levelname)s - %(message)s") logger = logging.getLogger(__name__) +console = Console() + + +# --------------------------------------------------------------------------- +# Helpers +# --------------------------------------------------------------------------- def get_qdrant_collection_name() -> str: """Get Qdrant collection name from memory service configuration.""" try: memory_config = build_memory_config_from_env() - if hasattr(memory_config, 'vector_store_config') and memory_config.vector_store_config: - collection_name = memory_config.vector_store_config.get('collection_name', 'chronicle_memories') - logger.info(f"Using Qdrant collection name from config: {collection_name}") - return collection_name - except Exception as e: - logger.warning(f"Could not load collection name from config: {e}") - - # Fallback to default - logger.info("Using default Qdrant collection name: chronicle_memories") + if hasattr(memory_config, "vector_store_config") and memory_config.vector_store_config: + return memory_config.vector_store_config.get("collection_name", "chronicle_memories") + except Exception: + pass return "chronicle_memories" -class CleanupStats: - """Track cleanup statistics""" - def __init__(self): - self.conversations_count = 0 - self.audio_chunks_count = 0 - self.waveforms_count = 0 - self.chat_sessions_count = 0 - self.chat_messages_count = 0 - self.memories_count = 0 - self.neo4j_nodes_count = 0 - self.neo4j_relationships_count = 0 - self.neo4j_promises_count = 0 - self.redis_jobs_count = 0 - self.legacy_wav_count = 0 - self.users_count = 0 - self.backup_size_bytes = 0 - self.backup_path = None +def _file_sha256(path: Path) -> str: + h = hashlib.sha256() + with open(path, "rb") as f: + for chunk in iter(lambda: f.read(8192), b""): + h.update(chunk) + return h.hexdigest() -class BackupManager: - """Handle backup operations""" +def _human_size(nbytes: int) -> str: + for unit in ("B", "KB", "MB", "GB"): + if abs(nbytes) < 1024: + return f"{nbytes:.1f} {unit}" + nbytes /= 1024 + return f"{nbytes:.1f} TB" - def __init__(self, backup_dir: str, export_audio: bool, mongo_db: Any, neo4j_driver: Any = None): - self.backup_dir = Path(backup_dir) - self.export_audio = export_audio - self.mongo_db = mongo_db - self.neo4j_driver = neo4j_driver - self.timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") - self.backup_path = self.backup_dir / f"backup_{self.timestamp}" - async def create_backup( - self, - qdrant_client: Optional[AsyncQdrantClient], - stats: CleanupStats - ) -> bool: - """Create complete backup of all data""" - try: - logger.info(f"Creating backup at {self.backup_path}") - self.backup_path.mkdir(parents=True, exist_ok=True) - stats.backup_path = str(self.backup_path) - - # Export MongoDB data - await self._export_conversations(stats) - await self._export_audio_chunks_metadata(stats) - await self._export_waveforms(stats) - await self._export_chat_sessions(stats) - await self._export_chat_messages(stats) - - # Export audio as WAV if requested - if self.export_audio: - await self._export_audio_wav(stats) +# --------------------------------------------------------------------------- +# Stats +# --------------------------------------------------------------------------- - # Export Qdrant vectors - if qdrant_client: - await self._export_memories(qdrant_client, stats) +class Stats: + """Track counts across the system.""" - # Export Neo4j knowledge graph - if self.neo4j_driver: - self._export_neo4j(stats) + def __init__(self): + self.conversations = 0 + self.conversations_with_transcript = 0 + self.audio_chunks = 0 + self.waveforms = 0 + self.chat_sessions = 0 + self.chat_messages = 0 + self.annotations = 0 + self.memories = 0 + self.neo4j_nodes = 0 + self.neo4j_relationships = 0 + self.neo4j_promises = 0 + self.redis_jobs = 0 + self.legacy_wav = 0 + self.users = 0 + self.langfuse_prompts = 0 + + +async def gather_stats( + mongo_db: Any, + redis_conn: Any, + qdrant_client: Optional[AsyncQdrantClient], + neo4j_driver: Any = None, + langfuse_client: Any = None, +) -> Stats: + """Gather current system statistics.""" + s = Stats() + + # MongoDB + s.conversations = await Conversation.find_all().count() + s.conversations_with_transcript = await Conversation.find( + Conversation.active_transcript_version != None # noqa: E711 + ).count() + s.audio_chunks = await mongo_db["audio_chunks"].count_documents({}) + s.waveforms = await WaveformData.find_all().count() + s.chat_sessions = await mongo_db["chat_sessions"].count_documents({}) + s.chat_messages = await mongo_db["chat_messages"].count_documents({}) + s.annotations = await Annotation.find_all().count() + s.users = await User.find_all().count() + + # Qdrant + if qdrant_client: + try: + info = await qdrant_client.get_collection(get_qdrant_collection_name()) + s.memories = info.points_count + except Exception: + pass - # Generate summary - await self._generate_summary(stats) + # Neo4j + if neo4j_driver: + try: + with neo4j_driver.session() as session: + r = session.run("MATCH (n) RETURN count(n) AS c").single() + s.neo4j_nodes = r["c"] if r else 0 + r = session.run("MATCH ()-[r]->() RETURN count(r) AS c").single() + s.neo4j_relationships = r["c"] if r else 0 + r = session.run("MATCH (p:Promise) RETURN count(p) AS c").single() + s.neo4j_promises = r["c"] if r else 0 + except Exception: + pass - # Calculate backup size - stats.backup_size_bytes = sum( - f.stat().st_size for f in self.backup_path.rglob('*') if f.is_file() + # Redis + try: + for qname in ("transcription", "memory", "audio", "default"): + q = Queue(qname, connection=redis_conn) + s.redis_jobs += ( + len(q) + + len(q.started_job_registry) + + len(q.finished_job_registry) + + len(q.failed_job_registry) + + len(q.canceled_job_registry) + + len(q.deferred_job_registry) + + len(q.scheduled_job_registry) ) + except Exception: + pass - logger.info(f"Backup completed: {stats.backup_size_bytes / (1024**2):.2f} MB") - return True + # LangFuse prompts + if langfuse_client: + try: + prompts_response = langfuse_client.prompts.list(limit=100) + s.langfuse_prompts = len(prompts_response.data) if hasattr(prompts_response, "data") else 0 + except Exception: + pass - except Exception as e: - logger.error(f"Backup failed: {e}", exc_info=True) - return False + # Legacy WAV + wav_dir = Path("/app/data/audio_chunks") + if wav_dir.exists(): + s.legacy_wav = len(list(wav_dir.glob("*.wav"))) - async def _export_conversations(self, stats: CleanupStats): - """Export all conversations to JSON""" - logger.info("Exporting conversations...") - conversations = await Conversation.find_all().to_list() - stats.conversations_count = len(conversations) + return s - # Serialize conversations (handle datetime, UUID, etc.) - conversations_data = [] - for conv in conversations: - conv_dict = conv.model_dump(mode='json') - conversations_data.append(conv_dict) - output_path = self.backup_path / "conversations.json" - with open(output_path, 'w') as f: - json.dump(conversations_data, f, indent=2, default=str) +def render_stats_table(stats: Stats, title: str = "Current State") -> Table: + """Build a rich Table from Stats.""" + table = Table( + title=title, + show_header=True, + header_style="bold cyan", + border_style="dim", + title_style="bold white", + padding=(0, 2), + ) + table.add_column("Category", style="white", min_width=24) + table.add_column("Count", justify="right", style="bold", min_width=10) - logger.info(f"Exported {stats.conversations_count} conversations") + def row(label, value, style="white"): + table.add_row(label, f"[{style}]{value}[/{style}]") - async def _export_audio_chunks_metadata(self, stats: CleanupStats): - """Export audio chunks metadata (not the actual audio)""" - logger.info("Exporting audio chunks metadata...") + row("Conversations", str(stats.conversations), "green" if stats.conversations else "dim") + row( + " with transcripts", + str(stats.conversations_with_transcript), + "green" if stats.conversations_with_transcript else "dim", + ) + row("Audio Chunks", str(stats.audio_chunks), "green" if stats.audio_chunks else "dim") + row("Waveforms", str(stats.waveforms), "dim") + row("Chat Sessions", str(stats.chat_sessions), "dim") + row("Chat Messages", str(stats.chat_messages), "dim") + row("Annotations", str(stats.annotations), "green" if stats.annotations else "dim") + table.add_section() + row("Memories (Qdrant)", str(stats.memories), "yellow" if stats.memories else "dim") + row("Neo4j Nodes", str(stats.neo4j_nodes), "dim") + row("Neo4j Relationships", str(stats.neo4j_relationships), "dim") + row("LangFuse Prompts", str(stats.langfuse_prompts), "yellow" if stats.langfuse_prompts else "dim") + table.add_section() + row("Redis Jobs", str(stats.redis_jobs), "dim") + row("Legacy WAV Files", str(stats.legacy_wav), "dim") + table.add_section() + row("Users", str(stats.users), "cyan") + + return table + + +# --------------------------------------------------------------------------- +# Backup +# --------------------------------------------------------------------------- + +class BackupResult: + """Track which backup exports succeeded or failed.""" - # Use raw MongoDB query to handle malformed documents - # (some old/corrupted chunks may not validate against current schema) - audio_chunks_collection = self.mongo_db["audio_chunks"] - chunks_cursor = audio_chunks_collection.find({}) + def __init__(self): + self.exports: dict[str, dict] = {} # name -> {ok, path, size, sha256, error} + + def record(self, name: str, path: Optional[Path], ok: bool, error: str = ""): + entry = {"ok": ok, "error": error, "path": str(path) if path else None, "size": 0, "sha256": ""} + if ok and path and path.exists(): + entry["size"] = path.stat().st_size + entry["sha256"] = _file_sha256(path) + self.exports[name] = entry + + @property + def all_ok(self) -> bool: + return all(e["ok"] for e in self.exports.values()) + + @property + def critical_ok(self) -> bool: + """conversations, audio_metadata, and annotations are critical.""" + critical = ("conversations", "audio_metadata", "annotations") + return all(self.exports.get(n, {}).get("ok", False) for n in critical if n in self.exports) + + def render_table(self) -> Table: + table = Table(title="Backup Verification", border_style="dim", title_style="bold white") + table.add_column("Export", style="white", min_width=24) + table.add_column("Status", justify="center", min_width=8) + table.add_column("Size", justify="right", min_width=10) + table.add_column("SHA-256", style="dim", min_width=12) + + for name, info in self.exports.items(): + if info["ok"]: + status = "[green]OK[/green]" + size = _human_size(info["size"]) + sha = info["sha256"][:12] + "..." if info["sha256"] else "" + else: + status = "[red]FAILED[/red]" + size = "-" + sha = info.get("error", "")[:30] + table.add_row(name, status, size, sha) + + return table + + @property + def total_size(self) -> int: + return sum(e["size"] for e in self.exports.values()) - chunks_data = [] - malformed_count = 0 - async for chunk in chunks_cursor: - try: - # Extract fields safely with defaults for missing values - chunk_dict = { - 'conversation_id': chunk.get('conversation_id'), - 'chunk_index': chunk.get('chunk_index'), - 'start_time': chunk.get('start_time'), - 'end_time': chunk.get('end_time'), - 'duration': chunk.get('duration'), - 'original_size': chunk.get('original_size'), - 'compressed_size': chunk.get('compressed_size'), - 'sample_rate': chunk.get('sample_rate', 16000), - 'channels': chunk.get('channels', 1), - 'has_speech': chunk.get('has_speech'), - 'created_at': str(chunk.get('created_at', '')) - } - chunks_data.append(chunk_dict) - except Exception as e: - malformed_count += 1 - logger.warning(f"Skipping malformed chunk {chunk.get('_id')}: {e}") - continue +class BackupManager: + """Export data to a timestamped backup directory.""" - stats.audio_chunks_count = len(chunks_data) + def __init__(self, backup_dir: str, export_audio: bool, mongo_db: Any, neo4j_driver: Any = None, langfuse_client: Any = None): + self.backup_dir = Path(backup_dir) + self.export_audio = export_audio + self.mongo_db = mongo_db + self.neo4j_driver = neo4j_driver + self.langfuse_client = langfuse_client + self.timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") + self.backup_path = self.backup_dir / f"backup_{self.timestamp}" - output_path = self.backup_path / "audio_chunks_metadata.json" - with open(output_path, 'w') as f: - json.dump(chunks_data, f, indent=2, default=str) + async def run( + self, + qdrant_client: Optional[AsyncQdrantClient], + stats: Stats, + ) -> BackupResult: + """Run all backup exports, return a BackupResult for verification.""" + self.backup_path.mkdir(parents=True, exist_ok=True) + result = BackupResult() + + with Progress( + SpinnerColumn(), + TextColumn("[progress.description]{task.description}"), + BarColumn(bar_width=30), + TimeElapsedColumn(), + console=console, + ) as progress: + steps = [ + ("conversations", self._export_conversations), + ("audio_metadata", self._export_audio_metadata), + ("waveforms", self._export_waveforms), + ("chat_sessions", self._export_chat_sessions), + ("chat_messages", self._export_chat_messages), + ("annotations", self._export_annotations), + ] - logger.info(f"Exported {stats.audio_chunks_count} audio chunks metadata") - if malformed_count > 0: - logger.warning(f"Skipped {malformed_count} malformed chunks") + if self.export_audio: + steps.append(("audio_wav", self._export_audio_wav)) - async def _export_waveforms(self, stats: CleanupStats): - """Export waveform visualization data""" - logger.info("Exporting waveforms...") + if qdrant_client: + steps.append(("memories", lambda r: self._export_memories(qdrant_client, r))) - waveforms = await WaveformData.find_all().to_list() - stats.waveforms_count = len(waveforms) - - # Serialize waveforms - waveforms_data = [] - for waveform in waveforms: - waveform_dict = waveform.model_dump(mode='json') - waveforms_data.append(waveform_dict) - - output_path = self.backup_path / "waveforms.json" - with open(output_path, 'w') as f: - json.dump(waveforms_data, f, indent=2, default=str) - - logger.info(f"Exported {stats.waveforms_count} waveforms") - - async def _export_chat_sessions(self, stats: CleanupStats): - """Export chat sessions metadata""" - logger.info("Exporting chat sessions...") - - chat_sessions_collection = self.mongo_db["chat_sessions"] - sessions_cursor = chat_sessions_collection.find({}) - - sessions_data = [] - async for session in sessions_cursor: - session_dict = { - 'session_id': session.get('session_id'), - 'user_id': session.get('user_id'), - 'title': session.get('title'), - 'created_at': str(session.get('created_at', '')), - 'updated_at': str(session.get('updated_at', '')), - 'metadata': session.get('metadata', {}) - } - sessions_data.append(session_dict) - - stats.chat_sessions_count = len(sessions_data) - - output_path = self.backup_path / "chat_sessions.json" - with open(output_path, 'w') as f: - json.dump(sessions_data, f, indent=2, default=str) - - logger.info(f"Exported {stats.chat_sessions_count} chat sessions") - - async def _export_chat_messages(self, stats: CleanupStats): - """Export chat messages""" - logger.info("Exporting chat messages...") - - chat_messages_collection = self.mongo_db["chat_messages"] - messages_cursor = chat_messages_collection.find({}) - - messages_data = [] - async for message in messages_cursor: - message_dict = { - 'message_id': message.get('message_id'), - 'session_id': message.get('session_id'), - 'user_id': message.get('user_id'), - 'role': message.get('role'), - 'content': message.get('content'), - 'timestamp': str(message.get('timestamp', '')), - 'memories_used': message.get('memories_used', []), - 'metadata': message.get('metadata', {}) - } - messages_data.append(message_dict) - - stats.chat_messages_count = len(messages_data) - - output_path = self.backup_path / "chat_messages.json" - with open(output_path, 'w') as f: - json.dump(messages_data, f, indent=2, default=str) - - logger.info(f"Exported {stats.chat_messages_count} chat messages") - - async def _export_audio_wav(self, stats: CleanupStats): - """Export audio as WAV files (1-minute chunks)""" - logger.info("Exporting audio as WAV files (this may take a while)...") - - # Get all unique conversation IDs + if self.neo4j_driver: + steps.append(("neo4j_graph", self._export_neo4j)) + + if self.langfuse_client: + steps.append(("langfuse_prompts", self._export_langfuse_prompts)) + + task = progress.add_task("Backing up...", total=len(steps)) + + for name, func in steps: + progress.update(task, description=f"Exporting {name}...") + try: + path = await func(result) if asyncio.iscoroutinefunction(func) else func(result) + if not result.exports.get(name): + # func didn't record itself - record success + result.record(name, path, True) + except Exception as e: + logger.warning(f"Export {name} failed: {e}") + result.record(name, None, False, str(e)) + progress.advance(task) + + # Write manifest + manifest = { + "timestamp": self.timestamp, + "backup_path": str(self.backup_path), + "exports": result.exports, + "total_size_bytes": result.total_size, + "total_size_human": _human_size(result.total_size), + "stats": { + "conversations": stats.conversations, + "conversations_with_transcript": stats.conversations_with_transcript, + "audio_chunks": stats.audio_chunks, + "annotations": stats.annotations, + "memories": stats.memories, + "langfuse_prompts": stats.langfuse_prompts, + "users": stats.users, + }, + } + manifest_path = self.backup_path / "manifest.json" + with open(manifest_path, "w") as f: + json.dump(manifest, f, indent=2, default=str) + + return result + + # -- Individual exports -------------------------------------------------- + + async def _export_conversations(self, result: BackupResult) -> Path: conversations = await Conversation.find_all().to_list() + data = [c.model_dump(mode="json") for c in conversations] + path = self.backup_path / "conversations.json" + with open(path, "w") as f: + json.dump(data, f, indent=2, default=str) + result.record("conversations", path, True) + return path + + async def _export_audio_metadata(self, result: BackupResult) -> Path: + collection = self.mongo_db["audio_chunks"] + cursor = collection.find({}) + data = [] + async for chunk in cursor: + data.append({ + "conversation_id": chunk.get("conversation_id"), + "chunk_index": chunk.get("chunk_index"), + "start_time": chunk.get("start_time"), + "end_time": chunk.get("end_time"), + "duration": chunk.get("duration"), + "original_size": chunk.get("original_size"), + "compressed_size": chunk.get("compressed_size"), + "sample_rate": chunk.get("sample_rate", 16000), + "channels": chunk.get("channels", 1), + "has_speech": chunk.get("has_speech"), + "created_at": str(chunk.get("created_at", "")), + }) + path = self.backup_path / "audio_chunks_metadata.json" + with open(path, "w") as f: + json.dump(data, f, indent=2, default=str) + result.record("audio_metadata", path, True) + return path + + async def _export_waveforms(self, result: BackupResult) -> Path: + waveforms = await WaveformData.find_all().to_list() + data = [w.model_dump(mode="json") for w in waveforms] + path = self.backup_path / "waveforms.json" + with open(path, "w") as f: + json.dump(data, f, indent=2, default=str) + result.record("waveforms", path, True) + return path + + async def _export_chat_sessions(self, result: BackupResult) -> Path: + collection = self.mongo_db["chat_sessions"] + cursor = collection.find({}) + data = [] + async for session in cursor: + data.append({ + "session_id": session.get("session_id"), + "user_id": session.get("user_id"), + "title": session.get("title"), + "created_at": str(session.get("created_at", "")), + "updated_at": str(session.get("updated_at", "")), + "metadata": session.get("metadata", {}), + }) + path = self.backup_path / "chat_sessions.json" + with open(path, "w") as f: + json.dump(data, f, indent=2, default=str) + result.record("chat_sessions", path, True) + return path + + async def _export_chat_messages(self, result: BackupResult) -> Path: + collection = self.mongo_db["chat_messages"] + cursor = collection.find({}) + data = [] + async for msg in cursor: + data.append({ + "message_id": msg.get("message_id"), + "session_id": msg.get("session_id"), + "user_id": msg.get("user_id"), + "role": msg.get("role"), + "content": msg.get("content"), + "timestamp": str(msg.get("timestamp", "")), + "memories_used": msg.get("memories_used", []), + "metadata": msg.get("metadata", {}), + }) + path = self.backup_path / "chat_messages.json" + with open(path, "w") as f: + json.dump(data, f, indent=2, default=str) + result.record("chat_messages", path, True) + return path + + async def _export_annotations(self, result: BackupResult) -> Path: + annotations = await Annotation.find_all().to_list() + data = [a.model_dump(mode="json") for a in annotations] + path = self.backup_path / "annotations.json" + with open(path, "w") as f: + json.dump(data, f, indent=2, default=str) + result.record("annotations", path, True) + return path + + async def _export_audio_wav(self, result: BackupResult) -> Optional[Path]: + """Export audio WAV files for conversations that have transcripts.""" + # Only export audio for conversations with actual transcripts + conversations = await Conversation.find( + Conversation.active_transcript_version != None # noqa: E711 + ).to_list() + + if not conversations: + result.record("audio_wav", None, True) + return None + audio_dir = self.backup_path / "audio" + audio_dir.mkdir(parents=True, exist_ok=True) + exported = 0 + failed = 0 for conv in conversations: try: - await self._export_conversation_audio(conv.conversation_id, audio_dir) + ok = await self._export_conversation_audio(conv.conversation_id, audio_dir) + if ok: + exported += 1 except Exception as e: - logger.warning(f"Failed to export audio for {conv.conversation_id}: {e}") - continue + logger.warning(f"Audio export failed for {conv.conversation_id}: {e}") + failed += 1 - logger.info("Audio export completed") + ok = exported > 0 or (len(conversations) == 0) + error = f"{failed} failed" if failed else "" + result.record("audio_wav", audio_dir, ok, error) + return audio_dir - async def _export_conversation_audio(self, conversation_id: str, audio_dir: Path): - """Export audio for a single conversation as 1-minute WAV chunks""" - # Get all chunks for this conversation + async def _export_conversation_audio(self, conversation_id: str, audio_dir: Path) -> bool: + """Decode Opus chunks to WAV for a single conversation. Returns True if audio was exported.""" chunks = await AudioChunkDocument.find( AudioChunkDocument.conversation_id == conversation_id ).sort("+chunk_index").to_list() if not chunks: - return + return False - # Create conversation directory conv_dir = audio_dir / conversation_id conv_dir.mkdir(parents=True, exist_ok=True) - # Decode all Opus chunks to PCM - pcm_data = [] sample_rate = chunks[0].sample_rate channels = chunks[0].channels + # Try opuslib, fall back gracefully try: import opuslib - decoder = opuslib.Decoder(sample_rate, channels) + decoder = opuslib.Decoder(sample_rate, channels) + pcm_parts = [] for chunk in chunks: - # Decode Opus to PCM - # Note: frame_size depends on sample rate and duration frame_size = int(sample_rate * chunk.duration / channels) decoded = decoder.decode(bytes(chunk.audio_data), frame_size) - pcm_data.append(decoded) - + pcm_parts.append(decoded) except ImportError: logger.warning("opuslib not available, skipping audio export") - return + return False except Exception as e: - logger.warning(f"Failed to decode audio for {conversation_id}: {e}") - return - - # Concatenate all PCM data - all_pcm = b''.join(pcm_data) + logger.warning(f"Opus decode error for {conversation_id}: {e}") + return False - # Convert bytes to int16 samples - samples = struct.unpack(f'<{len(all_pcm)//2}h', all_pcm) + all_pcm = b"".join(pcm_parts) + samples = struct.unpack(f"<{len(all_pcm) // 2}h", all_pcm) - # Split into 1-minute chunks + # Split into 1-minute WAV files samples_per_minute = sample_rate * 60 * channels - chunk_num = 1 - - for start_idx in range(0, len(samples), samples_per_minute): - chunk_samples = samples[start_idx:start_idx + samples_per_minute] + import wave - # Write WAV file + chunk_num = 1 + for start in range(0, len(samples), samples_per_minute): wav_path = conv_dir / f"chunk_{chunk_num:03d}.wav" - self._write_wav(wav_path, sample_rate, channels, chunk_samples) + segment = samples[start : start + samples_per_minute] + with wave.open(str(wav_path), "wb") as wf: + wf.setnchannels(channels) + wf.setsampwidth(2) + wf.setframerate(sample_rate) + wf.writeframes(struct.pack(f"<{len(segment)}h", *segment)) chunk_num += 1 - def _write_wav(self, path: Path, sample_rate: int, channels: int, samples: Tuple[int, ...]): - """Write PCM samples to WAV file""" - import wave - - with wave.open(str(path), 'wb') as wav_file: - wav_file.setnchannels(channels) - wav_file.setsampwidth(2) # 16-bit - wav_file.setframerate(sample_rate) - - # Convert samples back to bytes - pcm_bytes = struct.pack(f'<{len(samples)}h', *samples) - wav_file.writeframes(pcm_bytes) + return True - async def _export_memories(self, qdrant_client: AsyncQdrantClient, stats: CleanupStats): - """Export Qdrant vectors to JSON""" - logger.info("Exporting memories from Qdrant...") + async def _export_memories(self, qdrant_client: AsyncQdrantClient, result: BackupResult) -> Path: + collection_name = get_qdrant_collection_name() + collections = await qdrant_client.get_collections() + exists = any(c.name == collection_name for c in collections.collections) - try: - collection_name = get_qdrant_collection_name() + path = self.backup_path / "memories.json" + if not exists: + with open(path, "w") as f: + json.dump([], f) + result.record("memories", path, True) + return path - # Check if collection exists - collections = await qdrant_client.get_collections() - collection_exists = any( - col.name == collection_name - for col in collections.collections + data = [] + offset = None + while True: + points, next_offset = await qdrant_client.scroll( + collection_name=collection_name, + limit=100, + offset=offset, + with_payload=True, + with_vectors=True, ) - - if not collection_exists: - logger.info("Memories collection does not exist, skipping export") - return - - # Scroll through all vectors - memories_data = [] - offset = None - - while True: - result = await qdrant_client.scroll( - collection_name=collection_name, - limit=100, - offset=offset, - with_payload=True, - with_vectors=True - ) - - points, next_offset = result - - if not points: - break - - for point in points: - memory_dict = { - 'id': str(point.id), - 'vector': point.vector, - 'payload': point.payload - } - memories_data.append(memory_dict) - - if next_offset is None: - break - - offset = next_offset - - stats.memories_count = len(memories_data) - - output_path = self.backup_path / "memories.json" - with open(output_path, 'w') as f: - json.dump(memories_data, f, indent=2) - - logger.info(f"Exported {stats.memories_count} memories") - - except Exception as e: - logger.warning(f"Failed to export memories: {e}") - - def _export_neo4j(self, stats: CleanupStats): - """Export Neo4j knowledge graph data to JSON""" - logger.info("Exporting Neo4j knowledge graph...") - + if not points: + break + for pt in points: + data.append({"id": str(pt.id), "vector": pt.vector, "payload": pt.payload}) + if next_offset is None: + break + offset = next_offset + + with open(path, "w") as f: + json.dump(data, f, indent=2) + result.record("memories", path, True) + return path + + def _export_neo4j(self, result: BackupResult) -> Path: + path = self.backup_path / "neo4j_graph.json" try: with self.neo4j_driver.session() as session: - # Export nodes - nodes_result = session.run( - "MATCH (n) RETURN n, labels(n) AS labels, elementId(n) AS eid" - ) nodes_data = [] - for record in nodes_result: + for record in session.run("MATCH (n) RETURN n, labels(n) AS labels, elementId(n) AS eid"): node = dict(record["n"]) node["_labels"] = record["labels"] node["_element_id"] = record["eid"] nodes_data.append(node) - # Export relationships - rels_result = session.run( - "MATCH (a)-[r]->(b) " - "RETURN elementId(a) AS src, type(r) AS rel_type, " - "properties(r) AS props, elementId(b) AS dst" - ) rels_data = [] - for record in rels_result: + for record in session.run( + "MATCH (a)-[r]->(b) RETURN elementId(a) AS src, type(r) AS rel_type, " + "properties(r) AS props, elementId(b) AS dst" + ): rels_data.append({ "source": record["src"], "type": record["rel_type"], @@ -463,40 +601,61 @@ def _export_neo4j(self, stats: CleanupStats): "target": record["dst"], }) - output_path = self.backup_path / "neo4j_graph.json" - with open(output_path, "w") as f: + with open(path, "w") as f: json.dump({"nodes": nodes_data, "relationships": rels_data}, f, indent=2, default=str) + result.record("neo4j_graph", path, True) + except Exception as e: + result.record("neo4j_graph", None, False, str(e)) - logger.info(f"Exported {len(nodes_data)} nodes, {len(rels_data)} relationships from Neo4j") + return path + + def _export_langfuse_prompts(self, result: BackupResult) -> Path: + """Export all LangFuse prompts (production versions) including admin edits.""" + path = self.backup_path / "langfuse_prompts.json" + data = [] + + try: + # Discover all prompt names via list API + prompt_names = [] + prompts_response = self.langfuse_client.prompts.list(limit=100) + if hasattr(prompts_response, "data"): + for p in prompts_response.data: + prompt_names.append(p.name) + + # Fetch each prompt's production version with full text + for name in prompt_names: + try: + prompt_obj = self.langfuse_client.get_prompt(name) + entry = { + "name": name, + "prompt": prompt_obj.prompt, + "version": prompt_obj.version, + } + if hasattr(prompt_obj, "labels"): + entry["labels"] = prompt_obj.labels + if hasattr(prompt_obj, "config") and prompt_obj.config: + entry["config"] = prompt_obj.config + data.append(entry) + except Exception as e: + logger.warning(f"Failed to fetch prompt '{name}': {e}") + data.append({"name": name, "error": str(e)}) except Exception as e: - logger.warning(f"Failed to export Neo4j data: {e}") - - async def _generate_summary(self, stats: CleanupStats): - """Generate backup summary""" - summary = { - 'timestamp': self.timestamp, - 'backup_path': str(self.backup_path), - 'total_conversations': stats.conversations_count, - 'total_audio_chunks': stats.audio_chunks_count, - 'total_waveforms': stats.waveforms_count, - 'total_chat_sessions': stats.chat_sessions_count, - 'total_chat_messages': stats.chat_messages_count, - 'total_memories': stats.memories_count, - 'total_neo4j_nodes': stats.neo4j_nodes_count, - 'total_neo4j_relationships': stats.neo4j_relationships_count, - 'total_neo4j_promises': stats.neo4j_promises_count, - 'audio_exported': self.export_audio, - 'backup_size_bytes': 0 # Will be calculated after all files written - } + result.record("langfuse_prompts", None, False, str(e)) + return path + + with open(path, "w") as f: + json.dump(data, f, indent=2) + result.record("langfuse_prompts", path, True) + return path - output_path = self.backup_path / "backup_summary.json" - with open(output_path, 'w') as f: - json.dump(summary, f, indent=2) +# --------------------------------------------------------------------------- +# Cleanup +# --------------------------------------------------------------------------- class CleanupManager: - """Handle cleanup operations""" + """Delete data across all services.""" def __init__( self, @@ -514,402 +673,111 @@ def __init__( self.delete_users = delete_users self.neo4j_driver = neo4j_driver - async def perform_cleanup(self, stats: CleanupStats) -> bool: - """Perform all cleanup operations""" - try: - logger.info("Starting cleanup operations...") - - # MongoDB cleanup - await self._cleanup_mongodb(stats) - - # Qdrant cleanup - if self.qdrant_client: - await self._cleanup_qdrant(stats) - - # Neo4j cleanup - if self.neo4j_driver: - self._cleanup_neo4j(stats) - - # Redis cleanup - self._cleanup_redis(stats) - - # Legacy WAV cleanup - if self.include_wav: - self._cleanup_legacy_wav(stats) - - logger.info("Cleanup completed successfully") - return True - - except Exception as e: - logger.error(f"Cleanup failed: {e}", exc_info=True) - return False - - async def _cleanup_mongodb(self, stats: CleanupStats): - """Clean MongoDB collections""" - logger.info("Cleaning MongoDB collections...") - - # Count before deletion - stats.conversations_count = await Conversation.find_all().count() - # Use raw MongoDB count to handle malformed documents - stats.audio_chunks_count = await self.mongo_db["audio_chunks"].count_documents({}) - stats.waveforms_count = await WaveformData.find_all().count() - stats.chat_sessions_count = await self.mongo_db["chat_sessions"].count_documents({}) - stats.chat_messages_count = await self.mongo_db["chat_messages"].count_documents({}) - + async def run(self, stats: Stats) -> bool: + """Perform cleanup with progress display.""" + steps = [ + ("MongoDB collections", self._cleanup_mongodb), + ] + if self.qdrant_client: + steps.append(("Qdrant memories", self._cleanup_qdrant)) + if self.neo4j_driver: + steps.append(("Neo4j graph", self._cleanup_neo4j)) + steps.append(("Redis queues", self._cleanup_redis)) + if self.include_wav: + steps.append(("Legacy WAV files", self._cleanup_legacy_wav)) + + ok = True + with Progress( + SpinnerColumn(), + TextColumn("[progress.description]{task.description}"), + BarColumn(bar_width=30), + TimeElapsedColumn(), + console=console, + ) as progress: + task = progress.add_task("Cleaning...", total=len(steps)) + for label, func in steps: + progress.update(task, description=f"Cleaning {label}...") + try: + if asyncio.iscoroutinefunction(func): + await func(stats) + else: + func(stats) + except Exception as e: + logger.error(f"Failed to clean {label}: {e}") + ok = False + progress.advance(task) + + return ok + + async def _cleanup_mongodb(self, stats: Stats): + await Conversation.find_all().delete() + await self.mongo_db["audio_chunks"].delete_many({}) + await WaveformData.find_all().delete() + await self.mongo_db["chat_sessions"].delete_many({}) + await self.mongo_db["chat_messages"].delete_many({}) + await Annotation.find_all().delete() if self.delete_users: - stats.users_count = await User.find_all().count() - - # Delete conversations - result = await Conversation.find_all().delete() - logger.info(f"Deleted {stats.conversations_count} conversations") - - # Delete audio chunks using raw MongoDB to handle malformed documents - result = await self.mongo_db["audio_chunks"].delete_many({}) - logger.info(f"Deleted {stats.audio_chunks_count} audio chunks") - - # Delete waveforms - result = await WaveformData.find_all().delete() - logger.info(f"Deleted {stats.waveforms_count} waveforms") - - # Delete chat sessions - result = await self.mongo_db["chat_sessions"].delete_many({}) - logger.info(f"Deleted {stats.chat_sessions_count} chat sessions") + await User.find_all().delete() - # Delete chat messages - result = await self.mongo_db["chat_messages"].delete_many({}) - logger.info(f"Deleted {stats.chat_messages_count} chat messages") - - # Delete users if requested - if self.delete_users: - result = await User.find_all().delete() - logger.info(f"DANGEROUS: Deleted {stats.users_count} users") - - async def _cleanup_qdrant(self, stats: CleanupStats): - """Clean Qdrant vector store""" - logger.info("Cleaning Qdrant memories...") - - try: - collection_name = get_qdrant_collection_name() - - # Check if collection exists - collections = await self.qdrant_client.get_collections() - collection_exists = any( - col.name == collection_name - for col in collections.collections - ) - - if not collection_exists: - logger.info("Memories collection does not exist, skipping cleanup") - return - - # Get count before deletion - collection_info = await self.qdrant_client.get_collection(collection_name) - stats.memories_count = collection_info.points_count - - # Delete and recreate collection - await self.qdrant_client.delete_collection(collection_name) - logger.info(f"Deleted memories collection ({stats.memories_count} vectors)") - - # Recreate with default configuration - await self.qdrant_client.create_collection( - collection_name=collection_name, - vectors_config=VectorParams(size=1536, distance=Distance.COSINE) - ) - logger.info("Recreated memories collection") - - except Exception as e: - logger.warning(f"Failed to clean Qdrant: {e}") - - def _cleanup_neo4j(self, stats: CleanupStats): - """Clean Neo4j knowledge graph""" - logger.info("Cleaning Neo4j knowledge graph...") + async def _cleanup_qdrant(self, stats: Stats): + collection_name = get_qdrant_collection_name() + collections = await self.qdrant_client.get_collections() + exists = any(c.name == collection_name for c in collections.collections) + if not exists: + return + await self.qdrant_client.delete_collection(collection_name) + await self.qdrant_client.create_collection( + collection_name=collection_name, + vectors_config=VectorParams(size=1536, distance=Distance.COSINE), + ) + def _cleanup_neo4j(self, stats: Stats): try: with self.neo4j_driver.session() as session: - # Count before deletion - nodes = session.run("MATCH (n) RETURN count(n) AS count").single() - stats.neo4j_nodes_count = nodes["count"] if nodes else 0 - - rels = session.run("MATCH ()-[r]->() RETURN count(r) AS count").single() - stats.neo4j_relationships_count = rels["count"] if rels else 0 - - promises = session.run("MATCH (p:Promise) RETURN count(p) AS count").single() - stats.neo4j_promises_count = promises["count"] if promises else 0 - - # Delete all nodes and relationships session.run("MATCH (n) DETACH DELETE n") - - logger.info( - f"Deleted {stats.neo4j_nodes_count} nodes, " - f"{stats.neo4j_relationships_count} relationships, " - f"{stats.neo4j_promises_count} promises from Neo4j" - ) - except Exception as e: - logger.warning(f"Failed to clean Neo4j: {e}") - - def _cleanup_redis(self, stats: CleanupStats): - """Clean Redis job queues""" - logger.info("Cleaning Redis job queues...") - - queue_names = ["transcription", "memory", "audio", "default"] - successful_jobs = 0 - failed_jobs = 0 - failed_queues = [] + logger.warning(f"Neo4j cleanup failed: {e}") - for queue_name in queue_names: - job_count = 0 # Initialize to 0 in case counting fails + def _cleanup_redis(self, stats: Stats): + for qname in ("transcription", "memory", "audio", "default"): try: - queue = Queue(queue_name, connection=self.redis_conn) - - # Count jobs - job_count = ( - len(queue) + - len(queue.started_job_registry) + - len(queue.finished_job_registry) + - len(queue.failed_job_registry) + - len(queue.canceled_job_registry) + - len(queue.deferred_job_registry) + - len(queue.scheduled_job_registry) - ) - - # Clear queue and registries - queue.empty() - - # Clear job registries (they don't have clear() method in all RQ versions) - # So we manually remove all job IDs - for job_id in queue.started_job_registry.get_job_ids(): - queue.started_job_registry.remove(job_id) - for job_id in queue.finished_job_registry.get_job_ids(): - queue.finished_job_registry.remove(job_id) - for job_id in queue.failed_job_registry.get_job_ids(): - queue.failed_job_registry.remove(job_id) - for job_id in queue.canceled_job_registry.get_job_ids(): - queue.canceled_job_registry.remove(job_id) - for job_id in queue.deferred_job_registry.get_job_ids(): - queue.deferred_job_registry.remove(job_id) - for job_id in queue.scheduled_job_registry.get_job_ids(): - queue.scheduled_job_registry.remove(job_id) - - # Only count as successful if cleanup completed without exception - successful_jobs += job_count - logger.info(f"Cleared {queue_name} queue ({job_count} jobs)") - + q = Queue(qname, connection=self.redis_conn) + q.empty() + for registry in ( + q.started_job_registry, + q.finished_job_registry, + q.failed_job_registry, + q.canceled_job_registry, + q.deferred_job_registry, + q.scheduled_job_registry, + ): + for job_id in registry.get_job_ids(): + registry.remove(job_id) except Exception as e: - logger.error(f"Failed to clean {queue_name} queue: {e}", exc_info=True) - # job_count might be 0 if counting failed, or partial count if cleanup failed - failed_jobs += job_count - failed_queues.append(queue_name) - # Continue processing remaining queues - - stats.redis_jobs_count = successful_jobs - if failed_queues: - logger.warning( - f"Cleared {successful_jobs} Redis jobs, failed to clear {failed_jobs} jobs from queues: {', '.join(failed_queues)}" - ) - else: - logger.info(f"Cleared total of {successful_jobs} Redis jobs") - - def _cleanup_legacy_wav(self, stats: CleanupStats): - """Clean legacy WAV files""" - logger.info("Cleaning legacy WAV files...") - - try: - wav_dir = Path("/app/data/audio_chunks") - - if not wav_dir.exists(): - logger.info("Legacy WAV directory does not exist, skipping") - return - - wav_files = list(wav_dir.glob("*.wav")) - stats.legacy_wav_count = len(wav_files) - - for wav_file in wav_files: - wav_file.unlink() - - logger.info(f"Deleted {stats.legacy_wav_count} legacy WAV files") - - except Exception as e: - logger.warning(f"Failed to clean legacy WAV files: {e}") - - -async def get_current_stats( - mongo_db: Any, - redis_conn: Any, - qdrant_client: Optional[AsyncQdrantClient], - neo4j_driver: Any = None, -) -> CleanupStats: - """Get current statistics before cleanup""" - stats = CleanupStats() - - # MongoDB counts - stats.conversations_count = await Conversation.find_all().count() - # Use raw MongoDB count to handle malformed documents - stats.audio_chunks_count = await mongo_db["audio_chunks"].count_documents({}) - stats.waveforms_count = await WaveformData.find_all().count() - stats.chat_sessions_count = await mongo_db["chat_sessions"].count_documents({}) - stats.chat_messages_count = await mongo_db["chat_messages"].count_documents({}) - stats.users_count = await User.find_all().count() - - # Qdrant count - if qdrant_client: - try: - collection_name = get_qdrant_collection_name() - collection_info = await qdrant_client.get_collection(collection_name) - stats.memories_count = collection_info.points_count - except Exception: - stats.memories_count = 0 - - # Neo4j count - if neo4j_driver: - try: - with neo4j_driver.session() as session: - nodes = session.run("MATCH (n) RETURN count(n) AS count").single() - stats.neo4j_nodes_count = nodes["count"] if nodes else 0 - - rels = session.run("MATCH ()-[r]->() RETURN count(r) AS count").single() - stats.neo4j_relationships_count = rels["count"] if rels else 0 - - promises = session.run("MATCH (p:Promise) RETURN count(p) AS count").single() - stats.neo4j_promises_count = promises["count"] if promises else 0 - except Exception: - pass - - # Redis count - try: - queue_names = ["transcription", "memory", "audio", "default"] - total_jobs = 0 - for queue_name in queue_names: - queue = Queue(queue_name, connection=redis_conn) - total_jobs += ( - len(queue) + - len(queue.started_job_registry) + - len(queue.finished_job_registry) + - len(queue.failed_job_registry) + - len(queue.canceled_job_registry) + - len(queue.deferred_job_registry) + - len(queue.scheduled_job_registry) - ) - stats.redis_jobs_count = total_jobs - except Exception: - stats.redis_jobs_count = 0 - - # Legacy WAV count - wav_dir = Path("/app/data/audio_chunks") - if wav_dir.exists(): - stats.legacy_wav_count = len(list(wav_dir.glob("*.wav"))) - - return stats - - -def print_stats(stats: CleanupStats, title: str = "Current State"): - """Print statistics in a formatted way""" - print(f"\n{'='*60}") - print(f"{title:^60}") - print(f"{'='*60}") - print(f"Conversations: {stats.conversations_count:>10}") - print(f"Audio Chunks: {stats.audio_chunks_count:>10}") - print(f"Waveforms: {stats.waveforms_count:>10}") - print(f"Chat Sessions: {stats.chat_sessions_count:>10}") - print(f"Chat Messages: {stats.chat_messages_count:>10}") - print(f"Memories (Qdrant): {stats.memories_count:>10}") - print(f"Neo4j Nodes: {stats.neo4j_nodes_count:>10}") - print(f"Neo4j Relationships: {stats.neo4j_relationships_count:>10}") - print(f"Neo4j Promises: {stats.neo4j_promises_count:>10}") - print(f"Redis Jobs: {stats.redis_jobs_count:>10}") - print(f"Legacy WAV Files: {stats.legacy_wav_count:>10}") - print(f"Users: {stats.users_count:>10}") - if stats.backup_path: - print(f"\nBackup Location: {stats.backup_path}") - if stats.backup_size_bytes > 0: - size_mb = stats.backup_size_bytes / (1024**2) - print(f"Backup Size: {size_mb:>10.2f} MB") - print(f"{'='*60}\n") - - -def confirm_action(message: str) -> bool: - """Ask for user confirmation""" - response = input(f"{message} (yes/no): ").strip().lower() - return response == 'yes' - - -async def main(): - parser = argparse.ArgumentParser( - description='Clean Chronicle backend state with optional backup', - formatter_class=argparse.RawDescriptionHelpFormatter, - epilog=""" -Examples: - # Dry-run to see what would be deleted - python cleanup_state.py --dry-run - - # Safe cleanup with metadata backup - python cleanup_state.py --backup - - # Full backup including audio export - python cleanup_state.py --backup --export-audio + logger.warning(f"Redis queue {qname} cleanup failed: {e}") - # Automated cleanup without confirmation - python cleanup_state.py --backup --force - """ - ) - - parser.add_argument( - '--backup', - action='store_true', - help='Create backup before cleaning (metadata only by default)' - ) - parser.add_argument( - '--export-audio', - action='store_true', - help='Include audio WAV export in backup (can be large, requires --backup)' - ) - parser.add_argument( - '--include-wav', - action='store_true', - help='Include legacy WAV file cleanup (backward compat)' - ) - parser.add_argument( - '--dry-run', - action='store_true', - help='Show what would be cleaned without deleting' - ) - parser.add_argument( - '--force', - action='store_true', - help='Skip confirmation prompt' - ) - parser.add_argument( - '--backup-dir', - type=str, - default='/app/data/backups', - help='Backup directory location (default: /app/data/backups)' - ) - parser.add_argument( - '--delete-users', - action='store_true', - help='DANGEROUS: Also delete user accounts' - ) + def _cleanup_legacy_wav(self, stats: Stats): + wav_dir = Path("/app/data/audio_chunks") + if not wav_dir.exists(): + return + for f in wav_dir.glob("*.wav"): + f.unlink() - args = parser.parse_args() - # Validate arguments - if args.export_audio and not args.backup: - logger.error("--export-audio requires --backup") - sys.exit(1) - - # Initialize connections - logger.info("Connecting to services...") +# --------------------------------------------------------------------------- +# Connection setup +# --------------------------------------------------------------------------- +async def connect_services(): + """Initialize all service connections. Returns (mongo_db, redis_conn, qdrant_client, neo4j_driver, langfuse_client).""" # MongoDB mongodb_uri = os.getenv("MONGODB_URI", "mongodb://mongo:27017") mongodb_database = os.getenv("MONGODB_DATABASE", "chronicle") mongo_client = AsyncIOMotorClient(mongodb_uri) mongo_db = mongo_client[mongodb_database] - - # Initialize Beanie await init_beanie( database=mongo_db, - document_models=[Conversation, AudioChunkDocument, WaveformData, User] + document_models=[Conversation, AudioChunkDocument, WaveformData, User, Annotation], ) # Redis @@ -922,130 +790,270 @@ async def main(): qdrant_host = os.getenv("QDRANT_BASE_URL", "qdrant") qdrant_port = int(os.getenv("QDRANT_PORT", "6333")) qdrant_client = AsyncQdrantClient(host=qdrant_host, port=qdrant_port) - except Exception as e: - logger.warning(f"Qdrant not available: {e}") + except Exception: + pass - # Neo4j (optional - knowledge graph) + # Neo4j neo4j_driver = None - try: - neo4j_host = os.getenv("NEO4J_HOST") - if neo4j_host: + neo4j_host = os.getenv("NEO4J_HOST") + if neo4j_host: + try: neo4j_user = os.getenv("NEO4J_USER", "neo4j") neo4j_password = os.getenv("NEO4J_PASSWORD", "password") - neo4j_uri = f"bolt://{neo4j_host}:7687" - neo4j_driver = GraphDatabase.driver(neo4j_uri, auth=(neo4j_user, neo4j_password)) + neo4j_driver = GraphDatabase.driver( + f"bolt://{neo4j_host}:7687", auth=(neo4j_user, neo4j_password) + ) neo4j_driver.verify_connectivity() - logger.info(f"Connected to Neo4j at {neo4j_uri}") - except Exception as e: - logger.warning(f"Neo4j not available: {e}") - neo4j_driver = None + except Exception: + neo4j_driver = None + + # LangFuse + langfuse_client = None + langfuse_host = os.getenv("LANGFUSE_HOST") + langfuse_public = os.getenv("LANGFUSE_PUBLIC_KEY") + langfuse_secret = os.getenv("LANGFUSE_SECRET_KEY") + if langfuse_host and langfuse_public and langfuse_secret: + try: + from langfuse import Langfuse - # Get current statistics - logger.info("Gathering current statistics...") - stats = await get_current_stats(mongo_db, redis_conn, qdrant_client, neo4j_driver) + langfuse_client = Langfuse() + except Exception: + langfuse_client = None - # Print current state - print_stats(stats, "Current Backend State") + return mongo_db, redis_conn, qdrant_client, neo4j_driver, langfuse_client - # Dry-run mode - if args.dry_run: - print("\n[DRY-RUN MODE] No actual changes will be made\n") - if args.backup: - print("Would create backup at:", Path(args.backup_dir) / f"backup_{datetime.now().strftime('%Y%m%d_%H%M%S')}") - if args.export_audio: - print("Would include audio WAV export (1-minute chunks)") - print("\nWould delete:") - print(f" - {stats.conversations_count} conversations") - print(f" - {stats.audio_chunks_count} audio chunks") - print(f" - {stats.waveforms_count} waveforms") - print(f" - {stats.chat_sessions_count} chat sessions") - print(f" - {stats.chat_messages_count} chat messages") - print(f" - {stats.memories_count} memories") - if neo4j_driver: - print(f" - {stats.neo4j_nodes_count} Neo4j nodes") - print(f" - {stats.neo4j_relationships_count} Neo4j relationships") - print(f" - {stats.neo4j_promises_count} Neo4j promises") - print(f" - {stats.redis_jobs_count} Redis jobs") + +# --------------------------------------------------------------------------- +# Display helpers +# --------------------------------------------------------------------------- + +def print_header(): + console.print() + console.print( + Panel( + Text("Chronicle Cleanup & Backup", style="bold white", justify="center"), + subtitle=datetime.now().strftime("%Y-%m-%d %H:%M"), + border_style="blue", + padding=(1, 4), + ) + ) + + +def print_dry_run(stats: Stats, args): + console.print() + console.print(Panel("[bold yellow]DRY-RUN MODE[/bold yellow] - no changes will be made", border_style="yellow")) + console.print() + + if args.backup or args.backup_only: + console.print("[cyan]Would create backup at:[/cyan]", str(Path(args.backup_dir) / f"backup_...")) + if args.export_audio: + audio_note = f"(from {stats.conversations_with_transcript} conversations with transcripts)" + console.print(f"[cyan]Would export audio WAV files[/cyan] {audio_note}") + console.print() + + if not args.backup_only: + table = Table(title="Would Delete", border_style="red", title_style="bold red") + table.add_column("Data", style="white") + table.add_column("Count", justify="right", style="bold red") + + table.add_row("Conversations", str(stats.conversations)) + table.add_row("Audio Chunks", str(stats.audio_chunks)) + table.add_row("Waveforms", str(stats.waveforms)) + table.add_row("Chat Sessions", str(stats.chat_sessions)) + table.add_row("Chat Messages", str(stats.chat_messages)) + table.add_row("Annotations", str(stats.annotations)) + table.add_row("Memories (Qdrant)", str(stats.memories)) + if stats.neo4j_nodes: + table.add_row("Neo4j Nodes", str(stats.neo4j_nodes)) + table.add_row("Neo4j Relationships", str(stats.neo4j_relationships)) + table.add_row("Redis Jobs", str(stats.redis_jobs)) if args.include_wav: - print(f" - {stats.legacy_wav_count} legacy WAV files") + table.add_row("Legacy WAV Files", str(stats.legacy_wav)) if args.delete_users: - print(f" - {stats.users_count} users (DANGEROUS)") + table.add_row("[bold red]Users (DANGEROUS)[/bold red]", str(stats.users)) else: - print(f" - Users will be preserved ({stats.users_count} users)") - print("\nRun without --dry-run to perform actual cleanup") - return - - # Confirmation prompt - if not args.force: - print("\nโš ๏ธ WARNING: This will permanently delete data!") - print(f" - {stats.conversations_count} conversations") - print(f" - {stats.audio_chunks_count} audio chunks") - print(f" - {stats.waveforms_count} waveforms") - print(f" - {stats.chat_sessions_count} chat sessions") - print(f" - {stats.chat_messages_count} chat messages") - print(f" - {stats.memories_count} memories") - if neo4j_driver: - print(f" - {stats.neo4j_nodes_count} Neo4j nodes") - print(f" - {stats.neo4j_relationships_count} Neo4j relationships") - print(f" - {stats.neo4j_promises_count} Neo4j promises") - print(f" - {stats.redis_jobs_count} Redis jobs") + table.add_row("[green]Users (preserved)[/green]", str(stats.users)) + + console.print(table) + else: + console.print("[green]Backup-only mode[/green] - no data would be deleted") + + console.print() + console.print("[dim]Run without --dry-run to proceed[/dim]") + + +def print_confirmation(stats: Stats, args) -> bool: + """Show what will happen and ask for confirmation. Returns True if user confirms.""" + console.print() + + if args.backup or args.backup_only: + console.print(Panel( + f"[green]Backup will be created at:[/green] {args.backup_dir}\n" + + ("[green]Audio WAV export included[/green]" if args.export_audio else "[dim]Audio WAV export: off[/dim]"), + title="Backup", + border_style="green", + )) + elif not args.backup_only: + console.print(Panel( + "[bold red]No backup will be created![/bold red]\nData will be permanently lost.", + title="Warning", + border_style="red", + )) + + if not args.backup_only: + items = [ + f" {stats.conversations} conversations", + f" {stats.audio_chunks} audio chunks", + f" {stats.waveforms} waveforms", + f" {stats.chat_sessions} chat sessions", + f" {stats.chat_messages} chat messages", + f" {stats.annotations} annotations", + f" {stats.memories} memories", + ] + if stats.neo4j_nodes: + items.append(f" {stats.neo4j_nodes} Neo4j nodes + {stats.neo4j_relationships} relationships") + items.append(f" {stats.redis_jobs} Redis jobs") if args.include_wav: - print(f" - {stats.legacy_wav_count} legacy WAV files") + items.append(f" {stats.legacy_wav} legacy WAV files") if args.delete_users: - print(f" - {stats.users_count} users (DANGEROUS)") - else: - print(f" - Users will be preserved ({stats.users_count} users)") + items.append(f" [bold red]{stats.users} users (DANGEROUS)[/bold red]") - if args.backup: - print(f"\nโœ“ Backup will be created at: {args.backup_dir}") - if args.export_audio: - print("โœ“ Audio will be exported as WAV files") - else: - print("\nโœ— No backup will be created") + console.print(Panel( + "\n".join(items), + title="[bold red]Will Delete[/bold red]", + border_style="red", + )) - print() - if not confirm_action("Are you sure you want to proceed?"): - logger.info("Cleanup cancelled by user") - return + console.print() + return Confirm.ask("[bold]Proceed?[/bold]", default=False) + + +# --------------------------------------------------------------------------- +# Main +# --------------------------------------------------------------------------- + +async def main(): + parser = argparse.ArgumentParser( + description="Chronicle Cleanup & Backup Tool", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=""" +Examples: + ./cleanup.sh --dry-run Preview what would happen + ./cleanup.sh --backup-only Back up everything (no cleanup) + ./cleanup.sh --backup-only --export-audio Back up everything including audio WAV + ./cleanup.sh --backup Back up then clean + ./cleanup.sh --backup --export-audio Back up with audio then clean + ./cleanup.sh --backup --force Skip confirmation prompt + """, + ) - # Create backup if requested - if args.backup: - backup_manager = BackupManager(args.backup_dir, args.export_audio, mongo_db, neo4j_driver) - success = await backup_manager.create_backup(qdrant_client, stats) + parser.add_argument("--backup", action="store_true", help="Create backup before cleaning") + parser.add_argument("--backup-only", action="store_true", help="Create backup WITHOUT cleaning (safe)") + parser.add_argument("--export-audio", action="store_true", help="Include audio WAV export in backup (conversations with transcripts only)") + parser.add_argument("--include-wav", action="store_true", help="Include legacy WAV file cleanup") + parser.add_argument("--dry-run", action="store_true", help="Preview without making changes") + parser.add_argument("--force", action="store_true", help="Skip confirmation prompt") + parser.add_argument("--backup-dir", type=str, default="/app/data/backups", help="Backup directory (default: /app/data/backups)") + parser.add_argument("--delete-users", action="store_true", help="DANGEROUS: Also delete user accounts") - if not success: - logger.error("Backup failed, aborting cleanup") + args = parser.parse_args() + + # Validation + if args.export_audio and not (args.backup or args.backup_only): + console.print("[red]--export-audio requires --backup or --backup-only[/red]") + sys.exit(1) + + # Header + print_header() + + # Connect + with console.status("[bold cyan]Connecting to services...", spinner="dots"): + mongo_db, redis_conn, qdrant_client, neo4j_driver, langfuse_client = await connect_services() + + # Gather stats + with console.status("[bold cyan]Gathering statistics...", spinner="dots"): + stats = await gather_stats(mongo_db, redis_conn, qdrant_client, neo4j_driver, langfuse_client) + + console.print() + console.print(render_stats_table(stats, "Current Backend State")) + console.print() + + # Dry-run + if args.dry_run: + print_dry_run(stats, args) + return + + # Confirmation + if not args.force: + if not print_confirmation(stats, args): + console.print("[yellow]Cancelled.[/yellow]") return - print_stats(stats, "Backup Created") + # Backup + do_backup = args.backup or args.backup_only + if do_backup: + console.print() + backup_mgr = BackupManager(args.backup_dir, args.export_audio, mongo_db, neo4j_driver, langfuse_client) + result = await backup_mgr.run(qdrant_client, stats) + + console.print() + console.print(result.render_table()) + console.print() + console.print( + f"[bold]Backup size:[/bold] {_human_size(result.total_size)} " + f"[bold]Location:[/bold] {backup_mgr.backup_path}" + ) + + if not result.critical_ok: + console.print() + console.print(Panel( + "[bold red]Critical backup exports failed![/bold red]\n" + "Conversations or audio metadata could not be exported.\n" + "Cleanup will NOT proceed to protect your data.", + title="Backup Verification Failed", + border_style="red", + )) + sys.exit(1) + + if not result.all_ok: + console.print() + console.print("[yellow]Some non-critical exports failed (see table above).[/yellow]") + + # If backup-only, we're done + if args.backup_only: + console.print() + console.print(Panel( + "[bold green]Backup completed successfully![/bold green]\n" + "No data was deleted.", + border_style="green", + )) + return - # Perform cleanup - cleanup_manager = CleanupManager( - mongo_db, - redis_conn, - qdrant_client, - args.include_wav, - args.delete_users, - neo4j_driver, + # Cleanup + console.print() + cleanup_mgr = CleanupManager( + mongo_db, redis_conn, qdrant_client, args.include_wav, args.delete_users, neo4j_driver ) - - success = await cleanup_manager.perform_cleanup(stats) + success = await cleanup_mgr.run(stats) if not success: - logger.error("Cleanup failed") - return + console.print(Panel("[bold red]Cleanup encountered errors![/bold red]", border_style="red")) + sys.exit(1) - # Verify cleanup - logger.info("Verifying cleanup...") - final_stats = await get_current_stats(mongo_db, redis_conn, qdrant_client, neo4j_driver) - print_stats(final_stats, "Backend State After Cleanup") + # Verify + console.print() + with console.status("[bold cyan]Verifying cleanup...", spinner="dots"): + final_stats = await gather_stats(mongo_db, redis_conn, qdrant_client, neo4j_driver, langfuse_client) - logger.info("โœ“ Cleanup completed successfully!") + console.print(render_stats_table(final_stats, "After Cleanup")) - if args.backup: - logger.info(f"โœ“ Backup saved to: {stats.backup_path}") + console.print() + msg = "[bold green]Cleanup completed successfully![/bold green]" + if do_backup: + msg += f"\n[green]Backup saved to:[/green] {backup_mgr.backup_path}" + console.print(Panel(msg, border_style="green")) - # Close Neo4j driver + # Cleanup Neo4j driver if neo4j_driver: neo4j_driver.close() @@ -1054,8 +1062,9 @@ async def main(): try: asyncio.run(main()) except KeyboardInterrupt: - logger.info("\nCleanup interrupted by user") + console.print("\n[yellow]Interrupted.[/yellow]") sys.exit(1) except Exception as e: + console.print(f"\n[bold red]Fatal error:[/bold red] {e}") logger.error(f"Fatal error: {e}", exc_info=True) sys.exit(1) diff --git a/backends/advanced/start.sh b/backends/advanced/start.sh index feb8d57a..b5eaa2a0 100755 --- a/backends/advanced/start.sh +++ b/backends/advanced/start.sh @@ -2,17 +2,10 @@ # Chronicle Backend Startup Script # Starts both the FastAPI backend and RQ workers -# Usage: ./start.sh [--test] +# Usage: ./start.sh set -e -# Check for test mode flag -TEST_MODE=false -if [[ "$1" == "--test" ]]; then - TEST_MODE=true - echo "๐Ÿงช Running in TEST mode (with test dependencies)" -fi - echo "๐Ÿš€ Starting Chronicle Backend..." # Function to handle shutdown @@ -61,12 +54,7 @@ sleep 2 # Start the main FastAPI application echo "๐ŸŒ Starting FastAPI backend..." -# Use --group test in test mode -if [ "$TEST_MODE" = true ]; then - uv run --extra deepgram --group test python3 src/advanced_omi_backend/main.py & -else - uv run --extra deepgram python3 src/advanced_omi_backend/main.py & -fi +python3 src/advanced_omi_backend/main.py & BACKEND_PID=$! # Wait for any process to exit diff --git a/backends/advanced/tests/test_conversation_models.py b/backends/advanced/tests/test_conversation_models.py index c2c27dd0..4652e14a 100644 --- a/backends/advanced/tests/test_conversation_models.py +++ b/backends/advanced/tests/test_conversation_models.py @@ -1,52 +1,20 @@ """ Test suite for conversation models. + +Tests that don't need Beanie initialization (pure model validation). """ -import pytest from datetime import datetime -from advanced_omi_backend.models.conversation import ( - Conversation, - TranscriptVersion, - MemoryVersion, - SpeakerSegment, - TranscriptProvider, - MemoryProvider, - create_conversation -) - - -class TestConversationModel: - """Test Conversation Pydantic model.""" - def test_create_conversation_factory(self): - """Test the create_conversation factory function.""" - conversation = create_conversation( - conversation_id="test-conv-123", - audio_uuid="test-audio-456", - user_id="test-user-789", - client_id="test-client-abc" - ) +from advanced_omi_backend.models.conversation import Conversation - # Verify basic properties - assert conversation.conversation_id == "test-conv-123" - assert conversation.audio_uuid == "test-audio-456" - assert conversation.user_id == "test-user-789" - assert conversation.client_id == "test-client-abc" - assert isinstance(conversation.created_at, datetime) - # Verify defaults - assert len(conversation.transcript_versions) == 0 - assert len(conversation.memory_versions) == 0 - assert conversation.active_transcript_version is None - assert conversation.active_memory_version is None - assert conversation.transcript is None - assert len(conversation.segments) == 0 - assert len(conversation.memories) == 0 - assert conversation.memory_count == 0 +class TestConversationModel: + """Test Conversation Pydantic model (no DB required).""" def test_speaker_segment_model(self): """Test SpeakerSegment model.""" - segment = SpeakerSegment( + segment = Conversation.SpeakerSegment( start=10.5, end=15.8, text="Hello, how are you today?", @@ -63,15 +31,15 @@ def test_speaker_segment_model(self): def test_transcript_version_model(self): """Test TranscriptVersion model.""" segments = [ - SpeakerSegment(start=0.0, end=5.0, text="Hello", speaker="Speaker A"), - SpeakerSegment(start=5.1, end=10.0, text="Hi there", speaker="Speaker B") + Conversation.SpeakerSegment(start=0.0, end=5.0, text="Hello", speaker="Speaker A"), + Conversation.SpeakerSegment(start=5.1, end=10.0, text="Hi there", speaker="Speaker B") ] - version = TranscriptVersion( + version = Conversation.TranscriptVersion( version_id="trans-v1", transcript="Hello Hi there", segments=segments, - provider=TranscriptProvider.DEEPGRAM, + provider="deepgram", model="nova-3", created_at=datetime.now(), processing_time_seconds=12.5, @@ -81,18 +49,18 @@ def test_transcript_version_model(self): assert version.version_id == "trans-v1" assert version.transcript == "Hello Hi there" assert len(version.segments) == 2 - assert version.provider == TranscriptProvider.DEEPGRAM + assert version.provider == "deepgram" assert version.model == "nova-3" assert version.processing_time_seconds == 12.5 assert version.metadata["confidence"] == 0.9 def test_memory_version_model(self): """Test MemoryVersion model.""" - version = MemoryVersion( + version = Conversation.MemoryVersion( version_id="mem-v1", memory_count=5, transcript_version_id="trans-v1", - provider=MemoryProvider.CHRONICLE, + provider=Conversation.MemoryProvider.CHRONICLE, model="gpt-4o-mini", created_at=datetime.now(), processing_time_seconds=45.2, @@ -102,167 +70,51 @@ def test_memory_version_model(self): assert version.version_id == "mem-v1" assert version.memory_count == 5 assert version.transcript_version_id == "trans-v1" - assert version.provider == MemoryProvider.CHRONICLE + assert version.provider == Conversation.MemoryProvider.CHRONICLE assert version.model == "gpt-4o-mini" assert version.processing_time_seconds == 45.2 assert version.metadata["extraction_quality"] == "high" - def test_add_transcript_version(self): - """Test adding transcript versions to conversation.""" - conversation = create_conversation("conv-1", "audio-1", "user-1", "client-1") - - segments = [SpeakerSegment(start=0.0, end=5.0, text="Test", speaker="Speaker A")] - - # Add first transcript version - version1 = conversation.add_transcript_version( - version_id="v1", - transcript="Test transcript", - segments=segments, - provider=TranscriptProvider.DEEPGRAM, - model="nova-3", - processing_time_seconds=10.0 + def test_provider_enums(self): + """Test that provider enums work correctly.""" + assert Conversation.MemoryProvider.CHRONICLE == "chronicle" + assert Conversation.MemoryProvider.OPENMEMORY_MCP == "openmemory_mcp" + + def test_word_model(self): + """Test Word model.""" + word = Conversation.Word( + word="hello", + start=0.0, + end=0.5, + confidence=0.98 ) - - assert len(conversation.transcript_versions) == 1 - assert conversation.active_transcript_version == "v1" - assert conversation.transcript == "Test transcript" - assert len(conversation.segments) == 1 - assert version1.version_id == "v1" - - # Add second transcript version without setting as active - version2 = conversation.add_transcript_version( - version_id="v2", - transcript="Updated transcript", - segments=segments, - provider=TranscriptProvider.PARAKEET, - set_as_active=False + assert word.word == "hello" + assert word.start == 0.0 + assert word.end == 0.5 + assert word.confidence == 0.98 + + def test_speaker_segment_defaults(self): + """Test SpeakerSegment default values.""" + segment = Conversation.SpeakerSegment( + start=0.0, + end=1.0, + text="Test", + speaker="Speaker 0" ) + assert segment.confidence is None + assert segment.identified_as is None + assert segment.words == [] - assert len(conversation.transcript_versions) == 2 - assert conversation.active_transcript_version == "v1" # Still v1 - assert conversation.transcript == "Test transcript" # Still v1 content - - def test_add_memory_version(self): - """Test adding memory versions to conversation.""" - conversation = create_conversation("conv-1", "audio-1", "user-1", "client-1") - - # Add memory version - version1 = conversation.add_memory_version( - version_id="m1", - memory_count=3, - transcript_version_id="v1", - provider=MemoryProvider.CHRONICLE, - model="gpt-4o-mini", - processing_time_seconds=30.0 + def test_transcript_version_defaults(self): + """Test TranscriptVersion default values.""" + version = Conversation.TranscriptVersion( + version_id="v1", + created_at=datetime.now(), ) - - assert len(conversation.memory_versions) == 1 - assert conversation.active_memory_version == "m1" - assert conversation.memory_count == 3 - assert version1.version_id == "m1" - - def test_set_active_versions(self): - """Test switching between active versions.""" - conversation = create_conversation("conv-1", "audio-1", "user-1", "client-1") - - # Add two transcript versions - segments1 = [SpeakerSegment(start=0.0, end=5.0, text="Version 1", speaker="Speaker A")] - segments2 = [SpeakerSegment(start=0.0, end=5.0, text="Version 2", speaker="Speaker A")] - - conversation.add_transcript_version("v1", "Transcript 1", segments1, TranscriptProvider.DEEPGRAM) - conversation.add_transcript_version("v2", "Transcript 2", segments2, TranscriptProvider.PARAKEET, set_as_active=False) - - # Should be v1 active - assert conversation.active_transcript_version == "v1" - assert conversation.transcript == "Transcript 1" - - # Switch to v2 - success = conversation.set_active_transcript_version("v2") - assert success is True - assert conversation.active_transcript_version == "v2" - assert conversation.transcript == "Transcript 2" - - # Try to switch to non-existent version - success = conversation.set_active_transcript_version("v999") - assert success is False - assert conversation.active_transcript_version == "v2" # Unchanged - - def test_active_version_properties(self): - """Test active version property methods.""" - conversation = create_conversation("conv-1", "audio-1", "user-1", "client-1") - - # No active versions initially - assert conversation.active_transcript is None - assert conversation.active_memory is None - - # Add versions - segments = [SpeakerSegment(start=0.0, end=5.0, text="Test", speaker="Speaker A")] - conversation.add_transcript_version("v1", "Test", segments, TranscriptProvider.DEEPGRAM) - conversation.add_memory_version("m1", 2, "v1", MemoryProvider.CHRONICLE) - - # Should return active versions - active_transcript = conversation.active_transcript - active_memory = conversation.active_memory - - assert active_transcript is not None - assert active_transcript.version_id == "v1" - assert active_memory is not None - assert active_memory.version_id == "m1" - - def test_provider_enums(self): - """Test that provider enums work correctly.""" - # Test TranscriptProvider enum - assert TranscriptProvider.DEEPGRAM == "deepgram" - assert TranscriptProvider.PARAKEET == "parakeet" - - # Test MemoryProvider enum - assert MemoryProvider.CHRONICLE == "chronicle" - assert MemoryProvider.OPENMEMORY_MCP == "openmemory_mcp" - - def test_conversation_model_dump(self): - """Test that Conversation can be serialized for MongoDB storage.""" - conversation = create_conversation("conv-1", "audio-1", "user-1", "client-1") - - # Add some versions - segments = [SpeakerSegment(start=0.0, end=5.0, text="Test", speaker="Speaker A")] - conversation.add_transcript_version("v1", "Test", segments, TranscriptProvider.DEEPGRAM) - conversation.add_memory_version("m1", 2, "v1", MemoryProvider.CHRONICLE) - - # Test model_dump() works - conv_dict = conversation.model_dump() - - # Verify essential fields are present - assert "conversation_id" in conv_dict - assert "audio_uuid" in conv_dict - assert "user_id" in conv_dict - assert "client_id" in conv_dict - assert "created_at" in conv_dict - assert "transcript_versions" in conv_dict - assert "memory_versions" in conv_dict - assert "active_transcript_version" in conv_dict - assert "active_memory_version" in conv_dict - - # Verify nested structures - assert len(conv_dict["transcript_versions"]) == 1 - assert len(conv_dict["memory_versions"]) == 1 - assert conv_dict["active_transcript_version"] == "v1" - assert conv_dict["active_memory_version"] == "m1" - - def test_conversation_recreation_from_dict(self): - """Test that Conversation can be recreated from a dict.""" - # Create original conversation - original = create_conversation("conv-1", "audio-1", "user-1", "client-1") - segments = [SpeakerSegment(start=0.0, end=5.0, text="Test", speaker="Speaker A")] - original.add_transcript_version("v1", "Test", segments, TranscriptProvider.DEEPGRAM) - - # Convert to dict and back - conv_dict = original.model_dump() - recreated = Conversation(**conv_dict) - - # Verify they match - assert recreated.conversation_id == original.conversation_id - assert recreated.audio_uuid == original.audio_uuid - assert recreated.user_id == original.user_id - assert recreated.active_transcript_version == original.active_transcript_version - assert len(recreated.transcript_versions) == len(original.transcript_versions) - assert recreated.transcript == original.transcript \ No newline at end of file + assert version.transcript is None + assert version.words == [] + assert version.segments == [] + assert version.provider is None + assert version.model is None + assert version.processing_time_seconds is None + assert version.metadata == {} diff --git a/backends/advanced/tests/test_email_service.py b/backends/advanced/tests/test_email_service.py deleted file mode 100644 index f6990f21..00000000 --- a/backends/advanced/tests/test_email_service.py +++ /dev/null @@ -1,210 +0,0 @@ -""" -Unit tests for the SMTP Email Service. - -Tests email service initialization, configuration validation, and sending functionality. -""" -import pytest -from unittest.mock import Mock, patch, MagicMock -from advanced_omi_backend.plugins.email_summarizer.email_service import SMTPEmailService - - -class TestSMTPEmailService: - """Test SMTP Email Service.""" - - def test_initialization_with_valid_config(self): - """Test that service initializes with valid configuration.""" - config = { - 'smtp_host': 'smtp.gmail.com', - 'smtp_port': 587, - 'smtp_username': 'test@example.com', - 'smtp_password': 'test_password', - 'smtp_use_tls': True, - 'from_email': 'noreply@chronicle.ai', - 'from_name': 'Chronicle AI', - } - - service = SMTPEmailService(config) - - assert service.host == 'smtp.gmail.com' - assert service.port == 587 - assert service.username == 'test@example.com' - assert service.password == 'test_password' - assert service.use_tls is True - assert service.from_email == 'noreply@chronicle.ai' - assert service.from_name == 'Chronicle AI' - - def test_initialization_with_missing_required_fields(self): - """Test that service raises ValueError with incomplete config.""" - incomplete_configs = [ - { - # Missing smtp_host - 'smtp_username': 'test@example.com', - 'smtp_password': 'password', - 'from_email': 'test@example.com', - }, - { - # Missing smtp_username - 'smtp_host': 'smtp.gmail.com', - 'smtp_password': 'password', - 'from_email': 'test@example.com', - }, - { - # Missing smtp_password - 'smtp_host': 'smtp.gmail.com', - 'smtp_username': 'test@example.com', - 'from_email': 'test@example.com', - }, - { - # Missing from_email - 'smtp_host': 'smtp.gmail.com', - 'smtp_username': 'test@example.com', - 'smtp_password': 'password', - }, - ] - - for config in incomplete_configs: - with pytest.raises(ValueError, match="SMTP configuration incomplete"): - SMTPEmailService(config) - - def test_initialization_with_defaults(self): - """Test that service uses default values for optional fields.""" - config = { - 'smtp_host': 'smtp.gmail.com', - 'smtp_username': 'test@example.com', - 'smtp_password': 'password', - 'from_email': 'test@example.com', - # No smtp_port, smtp_use_tls, from_name - } - - service = SMTPEmailService(config) - - assert service.port == 587 # Default port - assert service.use_tls is True # Default TLS - assert service.from_name == 'Chronicle AI' # Default name - - @pytest.mark.asyncio - async def test_send_email_text_only(self): - """Test sending plain text email.""" - config = { - 'smtp_host': 'smtp.gmail.com', - 'smtp_port': 587, - 'smtp_username': 'test@example.com', - 'smtp_password': 'password', - 'smtp_use_tls': True, - 'from_email': 'noreply@chronicle.ai', - 'from_name': 'Chronicle AI', - } - - service = SMTPEmailService(config) - - # Mock the SMTP sending - with patch.object(service, '_send_smtp') as mock_send: - result = await service.send_email( - to_email='recipient@example.com', - subject='Test Subject', - body_text='This is a test email.', - ) - - assert result is True - assert mock_send.called - # Check that MIME message was created - msg = mock_send.call_args[0][0] - assert msg['Subject'] == 'Test Subject' - assert msg['To'] == 'recipient@example.com' - assert 'Chronicle AI' in msg['From'] - - @pytest.mark.asyncio - async def test_send_email_with_html(self): - """Test sending email with HTML and plain text versions.""" - config = { - 'smtp_host': 'smtp.gmail.com', - 'smtp_port': 587, - 'smtp_username': 'test@example.com', - 'smtp_password': 'password', - 'smtp_use_tls': True, - 'from_email': 'noreply@chronicle.ai', - 'from_name': 'Chronicle AI', - } - - service = SMTPEmailService(config) - - # Mock the SMTP sending - with patch.object(service, '_send_smtp') as mock_send: - result = await service.send_email( - to_email='recipient@example.com', - subject='Test Subject', - body_text='Plain text version', - body_html='

HTML version

', - ) - - assert result is True - assert mock_send.called - - # Check that both plain text and HTML parts exist - msg = mock_send.call_args[0][0] - assert msg.is_multipart() - - @pytest.mark.asyncio - async def test_send_email_failure_returns_false(self): - """Test that send_email returns False on failure.""" - config = { - 'smtp_host': 'smtp.gmail.com', - 'smtp_port': 587, - 'smtp_username': 'test@example.com', - 'smtp_password': 'password', - 'smtp_use_tls': True, - 'from_email': 'noreply@chronicle.ai', - 'from_name': 'Chronicle AI', - } - - service = SMTPEmailService(config) - - # Mock the SMTP sending to raise an exception - with patch.object(service, '_send_smtp', side_effect=Exception("SMTP error")): - result = await service.send_email( - to_email='recipient@example.com', - subject='Test Subject', - body_text='This should fail', - ) - - assert result is False - - @pytest.mark.asyncio - async def test_connection_test_success(self): - """Test successful SMTP connection test.""" - config = { - 'smtp_host': 'smtp.gmail.com', - 'smtp_port': 587, - 'smtp_username': 'test@example.com', - 'smtp_password': 'password', - 'smtp_use_tls': True, - 'from_email': 'noreply@chronicle.ai', - 'from_name': 'Chronicle AI', - } - - service = SMTPEmailService(config) - - # Mock the connection test - with patch.object(service, '_test_smtp_connection'): - result = await service.test_connection() - assert result is True - - @pytest.mark.asyncio - async def test_connection_test_failure(self): - """Test failed SMTP connection test.""" - config = { - 'smtp_host': 'smtp.gmail.com', - 'smtp_port': 587, - 'smtp_username': 'test@example.com', - 'smtp_password': 'password', - 'smtp_use_tls': True, - 'from_email': 'noreply@chronicle.ai', - 'from_name': 'Chronicle AI', - } - - service = SMTPEmailService(config) - - # Mock the connection test to fail - with patch.object(service, '_test_smtp_connection', side_effect=Exception("Connection failed")): - result = await service.test_connection() - assert result is False diff --git a/backends/advanced/tests/test_email_summarizer_plugin.py b/backends/advanced/tests/test_email_summarizer_plugin.py deleted file mode 100644 index ed6529bd..00000000 --- a/backends/advanced/tests/test_email_summarizer_plugin.py +++ /dev/null @@ -1,284 +0,0 @@ -""" -Unit tests for the Email Summarizer Plugin. - -Tests plugin initialization, configuration, and event handling. -""" -import pytest -from unittest.mock import Mock, AsyncMock, patch -from datetime import datetime - -from advanced_omi_backend.plugins.email_summarizer.plugin import EmailSummarizerPlugin -from advanced_omi_backend.plugins.base import PluginContext, PluginResult - - -class TestEmailSummarizerPlugin: - """Test Email Summarizer Plugin.""" - - def test_plugin_initialization(self): - """Test that plugin initializes with valid configuration.""" - config = { - 'enabled': True, - 'events': ['conversation.complete'], - 'condition': {'type': 'always'}, - 'smtp_host': 'smtp.gmail.com', - 'smtp_port': 587, - 'smtp_username': 'test@example.com', - 'smtp_password': 'password', - 'smtp_use_tls': True, - 'from_email': 'noreply@chronicle.ai', - 'from_name': 'Chronicle AI', - 'subject_prefix': 'Conversation Summary', - 'summary_max_sentences': 3, - } - - plugin = EmailSummarizerPlugin(config) - - assert plugin.enabled is True - assert plugin.subject_prefix == 'Conversation Summary' - assert plugin.summary_max_sentences == 3 - assert plugin.include_conversation_id is True - assert plugin.include_duration is True - - def test_plugin_uses_defaults_for_optional_fields(self): - """Test that plugin uses default values for optional configuration.""" - config = { - 'enabled': True, - 'events': ['conversation.complete'], - 'smtp_host': 'smtp.gmail.com', - 'smtp_username': 'test@example.com', - 'smtp_password': 'password', - 'from_email': 'noreply@chronicle.ai', - } - - plugin = EmailSummarizerPlugin(config) - - assert plugin.subject_prefix == 'Conversation Summary' # Default - assert plugin.summary_max_sentences == 3 # Default - assert plugin.include_conversation_id is True # Default - assert plugin.include_duration is True # Default - - @pytest.mark.asyncio - async def test_plugin_skips_empty_transcript(self): - """Test that plugin skips conversations with empty transcripts.""" - config = { - 'enabled': True, - 'events': ['conversation.complete'], - 'smtp_host': 'smtp.gmail.com', - 'smtp_username': 'test@example.com', - 'smtp_password': 'password', - 'from_email': 'noreply@chronicle.ai', - } - - plugin = EmailSummarizerPlugin(config) - - # Mock the email service (not initialized yet, but that's OK for this test) - plugin.email_service = Mock() - - # Create context with empty transcript - context = PluginContext( - user_id='test-user', - event='conversation.complete', - data={ - 'conversation': {}, - 'transcript': '', # Empty transcript - 'duration': 0, - 'conversation_id': 'test-conv', - } - ) - - result = await plugin.on_conversation_complete(context) - - assert result.success is False - assert 'Empty transcript' in result.message - - @pytest.mark.asyncio - async def test_plugin_handles_missing_user_email(self): - """Test that plugin handles missing user email gracefully.""" - config = { - 'enabled': True, - 'events': ['conversation.complete'], - 'smtp_host': 'smtp.gmail.com', - 'smtp_username': 'test@example.com', - 'smtp_password': 'password', - 'from_email': 'noreply@chronicle.ai', - } - - plugin = EmailSummarizerPlugin(config) - - # Mock _get_user_email to return None - plugin._get_user_email = AsyncMock(return_value=None) - - context = PluginContext( - user_id='test-user', - event='conversation.complete', - data={ - 'conversation': {}, - 'transcript': 'Test conversation', - 'duration': 60, - 'conversation_id': 'test-conv', - } - ) - - result = await plugin.on_conversation_complete(context) - - assert result.success is False - assert 'No email' in result.message - - @pytest.mark.asyncio - async def test_plugin_sends_email_on_successful_processing(self): - """Test that plugin sends email when everything is configured correctly.""" - config = { - 'enabled': True, - 'events': ['conversation.complete'], - 'smtp_host': 'smtp.gmail.com', - 'smtp_username': 'test@example.com', - 'smtp_password': 'password', - 'from_email': 'noreply@chronicle.ai', - } - - plugin = EmailSummarizerPlugin(config) - - # Mock dependencies - plugin._get_user_email = AsyncMock(return_value='user@example.com') - plugin._generate_summary = AsyncMock(return_value='This is a test summary.') - plugin.email_service = AsyncMock() - plugin.email_service.send_email = AsyncMock(return_value=True) - - context = PluginContext( - user_id='test-user', - event='conversation.complete', - data={ - 'conversation': {'created_at': datetime.now()}, - 'transcript': 'This is a test conversation with meaningful content.', - 'duration': 120, - 'conversation_id': 'test-conv-123', - } - ) - - result = await plugin.on_conversation_complete(context) - - assert result.success is True - assert 'Email sent' in result.message - assert result.data['recipient'] == 'user@example.com' - - # Verify email was sent - plugin.email_service.send_email.assert_called_once() - call_args = plugin.email_service.send_email.call_args[1] - assert call_args['to_email'] == 'user@example.com' - assert 'Conversation Summary' in call_args['subject'] - - @pytest.mark.asyncio - async def test_plugin_handles_llm_failure_gracefully(self): - """Test that plugin falls back to truncated transcript if LLM fails.""" - config = { - 'enabled': True, - 'events': ['conversation.complete'], - 'smtp_host': 'smtp.gmail.com', - 'smtp_username': 'test@example.com', - 'smtp_password': 'password', - 'from_email': 'noreply@chronicle.ai', - } - - plugin = EmailSummarizerPlugin(config) - - # Mock dependencies - plugin._get_user_email = AsyncMock(return_value='user@example.com') - plugin.email_service = AsyncMock() - plugin.email_service.send_email = AsyncMock(return_value=True) - - # Mock LLM to fail - with patch('advanced_omi_backend.plugins.email_summarizer.plugin.async_generate') as mock_llm: - mock_llm.side_effect = Exception("LLM service unavailable") - - context = PluginContext( - user_id='test-user', - event='conversation.complete', - data={ - 'conversation': {}, - 'transcript': 'A' * 400, # Long transcript - 'duration': 60, - 'conversation_id': 'test-conv', - } - ) - - result = await plugin.on_conversation_complete(context) - - # Should still succeed (fallback to truncated transcript) - assert result.success is True - - # Verify email was sent with truncated transcript - plugin.email_service.send_email.assert_called_once() - - @pytest.mark.asyncio - async def test_plugin_handles_email_send_failure(self): - """Test that plugin reports failure when email sending fails.""" - config = { - 'enabled': True, - 'events': ['conversation.complete'], - 'smtp_host': 'smtp.gmail.com', - 'smtp_username': 'test@example.com', - 'smtp_password': 'password', - 'from_email': 'noreply@chronicle.ai', - } - - plugin = EmailSummarizerPlugin(config) - - # Mock dependencies - plugin._get_user_email = AsyncMock(return_value='user@example.com') - plugin._generate_summary = AsyncMock(return_value='Test summary') - plugin.email_service = AsyncMock() - plugin.email_service.send_email = AsyncMock(return_value=False) # Email fails - - context = PluginContext( - user_id='test-user', - event='conversation.complete', - data={ - 'conversation': {}, - 'transcript': 'Test conversation', - 'duration': 60, - 'conversation_id': 'test-conv', - } - ) - - result = await plugin.on_conversation_complete(context) - - assert result.success is False - assert 'Failed to send email' in result.message - - def test_format_subject_with_timestamp(self): - """Test email subject formatting with timestamp.""" - config = { - 'enabled': True, - 'events': ['conversation.complete'], - 'smtp_host': 'smtp.gmail.com', - 'smtp_username': 'test@example.com', - 'smtp_password': 'password', - 'from_email': 'noreply@chronicle.ai', - 'subject_prefix': 'Test Summary', - } - - plugin = EmailSummarizerPlugin(config) - - created_at = datetime(2025, 1, 15, 14, 30, 0) - subject = plugin._format_subject(created_at) - - assert 'Test Summary' in subject - assert 'Jan 15, 2025' in subject - - def test_format_subject_without_timestamp(self): - """Test email subject formatting without timestamp.""" - config = { - 'enabled': True, - 'events': ['conversation.complete'], - 'smtp_host': 'smtp.gmail.com', - 'smtp_username': 'test@example.com', - 'smtp_password': 'password', - 'from_email': 'noreply@chronicle.ai', - 'subject_prefix': 'Conversation Summary', - } - - plugin = EmailSummarizerPlugin(config) - - subject = plugin._format_subject(None) - - assert subject == 'Conversation Summary' diff --git a/backends/advanced/tests/test_memory_providers.py b/backends/advanced/tests/test_memory_providers.py index af74bee7..945d4eb9 100644 --- a/backends/advanced/tests/test_memory_providers.py +++ b/backends/advanced/tests/test_memory_providers.py @@ -5,90 +5,10 @@ """ import time -from unittest.mock import Mock -from advanced_omi_backend.services.memory.providers.mycelia import MyceliaMemoryService from advanced_omi_backend.services.memory.providers.openmemory_mcp import OpenMemoryMCPService from advanced_omi_backend.services.memory.base import MemoryEntry -class TestMyceliaProviderTimestamps: - """Test Mycelia provider timestamp handling.""" - - def test_mycelia_object_to_memory_entry_with_both_timestamps(self): - """Test that Mycelia provider extracts both created_at and updated_at.""" - # Create a Mycelia service instance - service = MyceliaMemoryService(Mock()) - - # Mock Mycelia API object response - mycelia_obj = { - "_id": {"$oid": "507f1f77bcf86cd799439011"}, - "name": "Test Memory", - "details": "Test content", - "createdAt": {"$date": "2024-01-01T00:00:00.000Z"}, - "updatedAt": {"$date": "2024-01-02T00:00:00.000Z"}, - "isPerson": False, - "isEvent": False, - } - - # Convert to MemoryEntry - entry = service._mycelia_object_to_memory_entry(mycelia_obj, user_id="user-123") - - # Verify both timestamps are extracted - assert entry.created_at is not None, "created_at should be extracted" - assert entry.updated_at is not None, "updated_at should be extracted" - - # Verify timestamps match the source - assert entry.created_at == "2024-01-01T00:00:00.000Z", "created_at should match Mycelia createdAt" - assert entry.updated_at == "2024-01-02T00:00:00.000Z", "updated_at should match Mycelia updatedAt" - - # Verify timestamps are different (updated after created) - assert entry.created_at != entry.updated_at, "Timestamps should be different" - - def test_mycelia_object_to_memory_entry_with_missing_updated_at(self): - """Test that Mycelia provider handles missing updatedAt gracefully.""" - service = MyceliaMemoryService(Mock()) - - # Mock Mycelia object without updatedAt - mycelia_obj = { - "_id": {"$oid": "507f1f77bcf86cd799439011"}, - "name": "Test Memory", - "details": "Test content", - "createdAt": {"$date": "2024-01-01T00:00:00.000Z"}, - # updatedAt is missing - "isPerson": False, - "isEvent": False, - } - - # Convert to MemoryEntry - entry = service._mycelia_object_to_memory_entry(mycelia_obj, user_id="user-123") - - # created_at should be present - assert entry.created_at is not None, "created_at should be extracted" - - # updated_at should default to created_at (via MemoryEntry __post_init__) - # The _extract_bson_date returns None for missing fields, then __post_init__ sets it to created_at - assert entry.updated_at is not None, "updated_at should be set by __post_init__" - assert entry.updated_at == entry.created_at, "updated_at should default to created_at when missing" - - def test_mycelia_extract_bson_date(self): - """Test Mycelia BSON date extraction.""" - service = MyceliaMemoryService(Mock()) - - # Test BSON date format - bson_date = {"$date": "2024-01-01T00:00:00.000Z"} - extracted = service._extract_bson_date(bson_date) - assert extracted == "2024-01-01T00:00:00.000Z", "Should extract date from BSON format" - - # Test plain string date - plain_date = "2024-01-01T00:00:00.000Z" - extracted = service._extract_bson_date(plain_date) - assert extracted == "2024-01-01T00:00:00.000Z", "Should pass through plain date" - - # Test None - extracted = service._extract_bson_date(None) - assert extracted is None, "Should return None for None input" - - class TestOpenMemoryMCPProviderTimestamps: """Test OpenMemory MCP provider timestamp handling.""" @@ -205,19 +125,6 @@ class TestProviderTimestampConsistency: def test_all_providers_return_memory_entry_with_timestamps(self): """Test that all providers return MemoryEntry objects with both timestamp fields.""" - # This is a meta-test to ensure all providers conform to the MemoryEntry interface - - # Mycelia - mycelia_service = MyceliaMemoryService(Mock()) - mycelia_obj = { - "_id": {"$oid": "507f1f77bcf86cd799439011"}, - "name": "Test", - "details": "Content", - "createdAt": {"$date": "2024-01-01T00:00:00.000Z"}, - "updatedAt": {"$date": "2024-01-02T00:00:00.000Z"}, - } - mycelia_entry = mycelia_service._mycelia_object_to_memory_entry(mycelia_obj, "user-123") - # OpenMemory MCP mcp_service = OpenMemoryMCPService() mcp_service.client_name = "test" @@ -231,7 +138,7 @@ def test_all_providers_return_memory_entry_with_timestamps(self): mcp_entry = mcp_service._mcp_result_to_memory_entry(mcp_result, "user-123") # Verify all return MemoryEntry instances with both timestamp fields - for entry, provider_name in [(mycelia_entry, "Mycelia"), (mcp_entry, "OpenMemory MCP")]: + for entry, provider_name in [(mcp_entry, "OpenMemory MCP")]: assert isinstance(entry, MemoryEntry), f"{provider_name} should return MemoryEntry" assert hasattr(entry, "created_at"), f"{provider_name} entry should have created_at" assert hasattr(entry, "updated_at"), f"{provider_name} entry should 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application/xml+rss; + # Prevent stale index.html after deployments + location = /index.html { + add_header Cache-Control "no-cache, no-store, must-revalidate"; + try_files $uri =404; + } + # Handle React Router (SPA) location / { try_files $uri $uri/ /index.html; diff --git a/backends/advanced/webui/package.json b/backends/advanced/webui/package.json index c6c1f771..d7b3769e 100644 --- a/backends/advanced/webui/package.json +++ b/backends/advanced/webui/package.json @@ -10,23 +10,31 @@ "lint": "eslint . --ext ts,tsx --report-unused-disable-directives --max-warnings 0" }, "dependencies": { + "@tanstack/react-query": "^5.90.20", "axios": "^1.6.2", "cronstrue": "^2.50.0", "clsx": "^2.0.0", - "d3": "^7.8.5", - "frappe-gantt": "^1.0.4", + "cronstrue": "^2.50.0", + "d3-array": "^3.2.4", + "d3-axis": "^3.0.0", + "d3-scale": "^4.0.2", + "d3-selection": "^3.0.0", + "d3-time-format": "^4.1.0", + "d3-zoom": "^3.0.0", "lucide-react": "^0.294.0", "react": "^18.2.0", "react-dom": "^18.2.0", - "react-router-dom": "^6.20.0", - "react-vertical-timeline-component": "^3.6.0" + "react-router-dom": "^6.20.0" }, "devDependencies": { - "@types/d3": "^7.4.3", - "@types/frappe-gantt": "^0.9.0", + "@types/d3-array": "^3.2.2", + "@types/d3-axis": "^3.0.6", + "@types/d3-scale": "^4.0.9", + "@types/d3-selection": "^3.0.11", + "@types/d3-time-format": "^4.0.3", + "@types/d3-zoom": "^3.0.8", "@types/react": "^18.2.43", "@types/react-dom": "^18.2.17", - "@types/react-vertical-timeline-component": "^3.3.6", "@typescript-eslint/eslint-plugin": "^6.14.0", "@typescript-eslint/parser": "^6.14.0", "@vitejs/plugin-react": "^4.2.1", diff --git a/backends/advanced/webui/src/App.tsx b/backends/advanced/webui/src/App.tsx index 33400f92..e660311f 100644 --- a/backends/advanced/webui/src/App.tsx +++ b/backends/advanced/webui/src/App.tsx @@ -1,33 +1,56 @@ +import { lazy, Suspense } from 'react' import { BrowserRouter as Router, Routes, Route } from 'react-router-dom' +import { QueryClient, QueryClientProvider } from '@tanstack/react-query' import { AuthProvider } from './contexts/AuthContext' import { ThemeProvider } from './contexts/ThemeContext' import { RecordingProvider } from './contexts/RecordingContext' import Layout from './components/layout/Layout' import LoginPage from './pages/LoginPage' -import Chat from './pages/Chat' -import ConversationsRouter from './pages/ConversationsRouter' -import MemoriesRouter from './pages/MemoriesRouter' -import MemoryDetail from './pages/MemoryDetail' -import TimelineRouter from './pages/TimelineRouter' -import Users from './pages/Users' -import System from './pages/System' -import Upload from './pages/Upload' -import Queue from './pages/Queue' -import LiveRecord from './pages/LiveRecord' -import Plugins from './pages/Plugins' -import Finetuning from './pages/Finetuning' import ProtectedRoute from './components/auth/ProtectedRoute' import { ErrorBoundary, PageErrorBoundary } from './components/ErrorBoundary' -function App() { - console.log('๐Ÿš€ Full App restored with working login!') +// Lazy-loaded page components (code-split into separate chunks) +const Chat = lazy(() => import('./pages/Chat')) +const ConversationsRouter = lazy(() => import('./pages/ConversationsRouter')) +const MemoriesRouter = lazy(() => import('./pages/MemoriesRouter')) +const ConversationDetail = lazy(() => import('./pages/ConversationDetail')) +const MemoryDetail = lazy(() => import('./pages/MemoryDetail')) +const Users = lazy(() => import('./pages/Users')) +const System = lazy(() => import('./pages/System')) +const Settings = lazy(() => import('./pages/Settings')) +const Upload = lazy(() => import('./pages/Upload')) +const Queue = lazy(() => import('./pages/Queue')) +const LiveRecord = lazy(() => import('./pages/LiveRecord')) +const Plugins = lazy(() => import('./pages/Plugins')) +const Finetuning = lazy(() => import('./pages/Finetuning')) +function PageSkeleton() { + return ( +
+
+
+ ) +} + +const queryClient = new QueryClient({ + defaultOptions: { + queries: { + staleTime: 30_000, + gcTime: 5 * 60_000, + refetchOnWindowFocus: false, + retry: 1, + }, + }, +}) + +function App() { // Get base path from Vite config (e.g., "/prod/" for path-based routing) const basename = import.meta.env.BASE_URL return ( + @@ -40,67 +63,100 @@ function App() { }> - + }> + + } /> - + }> + + } /> - + }> + + + + } /> + + }> + + } /> - + }> + + } /> - + }> + + } /> - + }> + + } /> - - + }> + + } /> - - + }> + + } /> - - + }> + + } /> - + }> + + } /> - + }> + + } /> - + }> + + } /> - + }> + + } /> @@ -108,9 +164,10 @@ function App() { + ) } -export default App \ No newline at end of file +export default App diff --git a/backends/advanced/webui/src/components/ChatSettings.tsx b/backends/advanced/webui/src/components/ChatSettings.tsx deleted file mode 100644 index 1acad362..00000000 --- a/backends/advanced/webui/src/components/ChatSettings.tsx +++ /dev/null @@ -1,195 +0,0 @@ -import { useState, useEffect } from 'react' -import { MessageSquare, RefreshCw, CheckCircle, Save, RotateCcw, AlertCircle } from 'lucide-react' -import { systemApi } from '../services/api' -import { useAuth } from '../contexts/AuthContext' - -interface ChatSettingsProps { - className?: string -} - -export default function ChatSettings({ className }: ChatSettingsProps) { - const [configYaml, setConfigYaml] = useState('') - const [loading, setLoading] = useState(false) - const [validating, setValidating] = useState(false) - const [saving, setSaving] = useState(false) - const [message, setMessage] = useState('') - const [error, setError] = useState('') - const { isAdmin } = useAuth() - - useEffect(() => { - loadChatConfig() - }, []) - - const loadChatConfig = async () => { - setLoading(true) - setError('') - setMessage('') - - try { - const response = await systemApi.getChatConfigRaw() - setConfigYaml(response.data.config_yaml || response.data) - setMessage('Configuration loaded successfully') - setTimeout(() => setMessage(''), 3000) - } catch (err: any) { - const status = err.response?.status - if (status === 401) { - setError('Unauthorized: admin privileges required') - } else { - setError(err.response?.data?.error || 'Failed to load configuration') - } - } finally { - setLoading(false) - } - } - - const validateConfig = async () => { - if (!configYaml.trim()) { - setError('Configuration cannot be empty') - return - } - - setValidating(true) - setError('') - setMessage('') - - try { - const response = await systemApi.validateChatConfig(configYaml) - if (response.data.valid) { - setMessage('โœ… Configuration is valid') - } else { - setError(response.data.error || 'Validation failed') - } - setTimeout(() => setMessage(''), 3000) - } catch (err: any) { - setError(err.response?.data?.error || 'Validation failed') - } finally { - setValidating(false) - } - } - - const saveConfig = async () => { - if (!configYaml.trim()) { - setError('Configuration cannot be empty') - return - } - - setSaving(true) - setError('') - setMessage('') - - try { - await systemApi.updateChatConfigRaw(configYaml) - setMessage('โœ… Configuration saved successfully') - setTimeout(() => setMessage(''), 5000) - } catch (err: any) { - setError(err.response?.data?.error || 'Failed to save configuration') - } finally { - setSaving(false) - } - } - - const resetConfig = () => { - loadChatConfig() - setMessage('Configuration reset to file version') - setTimeout(() => setMessage(''), 3000) - } - - if (!isAdmin) { - return null - } - - return ( -
-
- {/* Header */} -
-
- -

- Chat System Prompt -

-
-
- - -
-
- - {/* Messages */} - {message && ( -
- -

{message}

-
- )} - - {error && ( -
- -

{error}

-
- )} - - {/* Editor */} -
-