From 6a07056435195059962b04ff627f0f10cfe14ed6 Mon Sep 17 00:00:00 2001 From: hazeone <709547807@qq.com> Date: Wed, 15 Oct 2025 11:23:01 +0800 Subject: [PATCH 1/7] refactor: load env as early as possible --- python/valuecell/__init__.py | 93 ++++++++++++++++++++++++++++++++++-- 1 file changed, 88 insertions(+), 5 deletions(-) diff --git a/python/valuecell/__init__.py b/python/valuecell/__init__.py index a4e93b21d..5fc787a93 100644 --- a/python/valuecell/__init__.py +++ b/python/valuecell/__init__.py @@ -4,13 +4,96 @@ __author__ = "ValueCell Team" __description__ = "A community-driven, multi-agent platform for financial applications" -# Core package information - only import what's absolutely necessary -# For i18n functionality, import from specific modules: -# from valuecell.services.i18n_service import get_i18n_service, t -# from valuecell.config.settings import get_settings - __all__ = [ "__version__", "__author__", "__description__", ] + +# Load environment variables as early as possible +import os +from pathlib import Path + + +def load_env_file_early() -> None: + """Load environment variables from .env file at package import time. + + Uses python-dotenv for reliable parsing and respects existing environment variables. + Looks for .env file in project root (two levels up from this file). + + Note: + - Existing environment variables take precedence (override=False) + - Debug logging can be enabled via VALUECELL_DEBUG=true + - Falls back to manual parsing if python-dotenv is unavailable + """ + try: + from dotenv import load_dotenv + + # Look for .env file in project root (up 2 levels from this file) + current_dir = Path(__file__).parent + project_root = current_dir.parent.parent + env_file = project_root / ".env" + + if env_file.exists(): + # Load with override=False to respect existing environment variables + load_dotenv(env_file, override=False) + + # Optional: Log successful loading if DEBUG is enabled + if os.getenv("VALUECELL_DEBUG", "false").lower() == "true": + print(f"✓ Environment variables loaded from {env_file}") + print(f" LANG: {os.environ.get('LANG', 'not set')}") + print(f" TIMEZONE: {os.environ.get('TIMEZONE', 'not set')}") + else: + # Only log if debug mode is enabled + if os.getenv("VALUECELL_DEBUG", "false").lower() == "true": + print(f"ℹ️ No .env file found at {env_file}") + + except ImportError: + # Fallback to manual parsing if python-dotenv is not available + # This ensures backward compatibility + _load_env_file_manual() + except Exception as e: + # Only log errors if debug mode is enabled + if os.getenv("VALUECELL_DEBUG", "false").lower() == "true": + print(f"⚠️ Error loading .env file: {e}") + + +def _load_env_file_manual() -> None: + """Fallback manual .env file parsing. + + This function provides a simple .env parser when python-dotenv is not available. + It respects existing environment variables and handles basic quote removal. + + Note: + - Lines starting with # are treated as comments + - Only KEY=VALUE format is supported + - Existing environment variables are not overwritten + """ + try: + current_dir = Path(__file__).parent + project_root = current_dir.parent.parent + env_file = project_root / ".env" + + if env_file.exists(): + with open(env_file, "r", encoding="utf-8") as f: + for line in f: + line = line.strip() + if line and not line.startswith("#") and "=" in line: + key, value = line.split("=", 1) + key = key.strip() + value = value.strip() + # Remove quotes if present + if (value.startswith('"') and value.endswith('"')) or ( + value.startswith("'") and value.endswith("'") + ): + value = value[1:-1] + # Only set if not already set (respect existing env vars) + if key not in os.environ: + os.environ[key] = value + except Exception: + # Fail silently to avoid breaking imports + pass + + +# Load environment variables immediately when package is imported +load_env_file_early() From faa0486516f6b53ebbf54c2fc7aa68e219d719eb Mon Sep 17 00:00:00 2001 From: hazeone <709547807@qq.com> Date: Wed, 15 Oct 2025 11:35:57 +0800 Subject: [PATCH 2/7] feat: add standard system language file --- .env.example | 4 +- python/configs/locales/language_list.json | 211 ++++++++++++++++++++++ 2 files changed, 213 insertions(+), 2 deletions(-) create mode 100644 python/configs/locales/language_list.json diff --git a/.env.example b/.env.example index 7ff9bfa32..53199a27b 100644 --- a/.env.example +++ b/.env.example @@ -10,8 +10,8 @@ API_I18N_ENABLED=true API_HOST=localhost API_PORT=8000 -# Ensure UTF-8 encoding -LANG=en_US.UTF-8 +# Supported languages: en_US, en_GB, zh-Hans, zh-Hant. You can interact with the agent in your preferred language +LANG=en-US TIMEZONE=America/New_York PYTHONIOENCODING=utf-8 diff --git a/python/configs/locales/language_list.json b/python/configs/locales/language_list.json new file mode 100644 index 000000000..b860a514f --- /dev/null +++ b/python/configs/locales/language_list.json @@ -0,0 +1,211 @@ +[{ + "language": "中文（简体）", + "tag": "zh-Hans", + "region": "Generic Simplified Chinese" + }, + { + "language": "中文（简体，中国大陆）", + "tag": "zh-Hans-CN", + "region": "Mainland China" + }, + { + "language": "中文（简体，新加坡）", + "tag": "zh-Hans-SG", + "region": "Singapore" + }, + { + "language": "中文（繁體）", + "tag": "zh-Hant", + "region": "Generic Traditional Chinese" + }, + { + "language": "正體中文（台灣）", + "tag": "zh-Hant-TW", + "region": "Taiwan" + }, + { + "language": "正體中文（香港）", + "tag": "zh-Hant-HK", + "region": "Hong Kong" + }, + { + "language": "正體中文（澳門）", + "tag": "zh-Hant-MO", + "region": "Macau" + }, + { + "language": "English (US)", + "tag": "en-US", + "region": "United States" + }, + { + "language": "English (UK)", + "tag": "en-GB", + "region": "United Kingdom" + }, + { + "language": "English (Canada)", + "tag": "en-CA", + "region": "Canada" + }, + { + "language": "English (Australia)", + "tag": "en-AU", + "region": "Australia" + }, + { + "language": "English (India)", + "tag": "en-IN", + "region": "India" + }, + { + "language": "English (Singapore)", + "tag": "en-SG", + "region": "Singapore" + }, + { + "language": "English (South Africa)", + "tag": "en-ZA", + "region": "South Africa" + }, + { + "language": "Français (France)", + "tag": "fr-FR", + "region": "France" + }, + { + "language": "Français (Canada)", + "tag": "fr-CA", + "region": "Canada" + }, + { + "language": "Français (Belgique)", + "tag": "fr-BE", + "region": "Belgium" + }, + { + "language": "Deutsch (Deutschland)", + "tag": "de-DE", + "region": "Germany" + }, + { + "language": "Deutsch (Österreich)", + "tag": "de-AT", + "region": "Austria" + }, + { + "language": "Deutsch (Schweiz)", + "tag": "de-CH", + "region": "Switzerland" + }, + { + "language": "Español (España)", + "tag": "es-ES", + "region": "Spain" + }, + { + "language": "Español (México)", + "tag": "es-MX", + "region": "Mexico" + }, + { + "language": "Português (Portugal)", + "tag": "pt-PT", + "region": "Portugal" + }, + { + "language": "Português (Brasil)", + "tag": "pt-BR", + "region": "Brazil" + }, + { + "language": "Italiano (Italia)", + "tag": "it-IT", + "region": "Italy" + }, + { + "language": "日本語", + "tag": "ja-JP", + "region": "Japan" + }, + { + "language": "한국어", + "tag": "ko-KR", + "region": "South Korea" + }, + { + "language": "Русский", + "tag": "ru-RU", + "region": "Russia" + }, + { + "language": "العربية (السعودية)", + "tag": "ar-SA", + "region": "Saudi Arabia" + }, + { + "language": "हिन्दी", + "tag": "hi-IN", + "region": "India" + }, + { + "language": "ไทย", + "tag": "th-TH", + "region": "Thailand" + }, + { + "language": "Tiếng Việt", + "tag": "vi-VN", + "region": "Vietnam" + }, + { + "language": "Bahasa Indonesia", + "tag": "id-ID", + "region": "Indonesia" + }, + { + "language": "Bahasa Melayu", + "tag": "ms-MY", + "region": "Malaysia" + }, + { + "language": "Filipino", + "tag": "fil-PH", + "region": "Philippines" + }, + { + "language": "Türkçe", + "tag": "tr-TR", + "region": "Turkey" + }, + { + "language": "Polski", + "tag": "pl-PL", + "region": "Poland" + }, + { + "language": "Ελληνικά", + "tag": "el-GR", + "region": "Greece" + }, + { + "language": "Nederlands", + "tag": "nl-NL", + "region": "Netherlands" + }, + { + "language": "Svenska", + "tag": "sv-SE", + "region": "Sweden" + }, + { + "language": "Suomi", + "tag": "fi-FI", + "region": "Finland" + }, + { + "language": "Norsk Bokmål", + "tag": "no-NO", + "region": "Norway" + } +] \ No newline at end of file From 8570a7c3d3c69a721b209a12426c3d140148fc54 Mon Sep 17 00:00:00 2001 From: hazeone <709547807@qq.com> Date: Thu, 16 Oct 2025 10:11:15 +0800 Subject: [PATCH 3/7] feat: add dependences for agent api --- .../TradingAgents/adapter/__main__.py | 2 +- .../ai-hedge-fund/adapter/__main__.py | 2 +- .../valuecell/agents/research_agent/core.py | 4 +- python/valuecell/agents/sec_agent.py | 20 ++++++--- python/valuecell/core/agent/decorator.py | 6 ++- .../core/agent/tests/test_decorator.py | 10 ++--- python/valuecell/core/constants.py | 41 +++++++++++++++++++ .../valuecell/core/coordinate/orchestrator.py | 30 ++++++++++++-- python/valuecell/core/types.py | 16 ++++++-- python/valuecell/utils/i18n_utils.py | 10 +++++ 10 files changed, 119 insertions(+), 22 deletions(-) create mode 100644 python/valuecell/core/constants.py diff --git a/python/third_party/TradingAgents/adapter/__main__.py b/python/third_party/TradingAgents/adapter/__main__.py index 236795fae..83a133931 100644 --- a/python/third_party/TradingAgents/adapter/__main__.py +++ b/python/third_party/TradingAgents/adapter/__main__.py @@ -278,7 +278,7 @@ def determine_next_step(state: DialogueState): return graph.compile() async def stream( - self, query: str, session_id: str, task_id: str + self, query: str, session_id: str, task_id: str, dependencies: Optional[Dict] = None ) -> AsyncGenerator[StreamResponse, None]: """Process trading analysis request and stream results""" logger.info(f"Processing trading query: {query}. Task ID: {task_id}, Session ID: {session_id}") diff --git a/python/third_party/ai-hedge-fund/adapter/__main__.py b/python/third_party/ai-hedge-fund/adapter/__main__.py index 01a949822..4465b06a6 100644 --- a/python/third_party/ai-hedge-fund/adapter/__main__.py +++ b/python/third_party/ai-hedge-fund/adapter/__main__.py @@ -57,7 +57,7 @@ def __init__(self, analyst: Optional[List[str]] = None): self.analyst = analyst async def stream( - self, query, session_id, task_id + self, query, session_id, task_id, dependencies ) -> AsyncGenerator[StreamResponse, None]: logger.info( f"Parsing query: {query}. Task ID: {task_id}, Session ID: {session_id}" diff --git a/python/valuecell/agents/research_agent/core.py b/python/valuecell/agents/research_agent/core.py index 28bfab52c..5d7f48545 100644 --- a/python/valuecell/agents/research_agent/core.py +++ b/python/valuecell/agents/research_agent/core.py @@ -1,5 +1,5 @@ import os -from typing import AsyncGenerator, Iterator +from typing import AsyncGenerator, Dict, Iterator, Optional from agno.agent import Agent, RunOutputEvent from agno.db.in_memory import InMemoryDb @@ -41,7 +41,7 @@ def __init__(self, **kwargs): set_identity(os.getenv("SEC_EMAIL")) async def stream( - self, query: str, conversation_id: str, task_id: str + self, query: str, conversation_id: str, task_id: str, dependencies: Optional[Dict] = None ) -> AsyncGenerator[StreamResponse, None]: response_stream: Iterator[RunOutputEvent] = self.knowledge_research_agent.arun( query, diff --git a/python/valuecell/agents/sec_agent.py b/python/valuecell/agents/sec_agent.py index 131b4731a..a05db74d2 100644 --- a/python/valuecell/agents/sec_agent.py +++ b/python/valuecell/agents/sec_agent.py @@ -5,7 +5,7 @@ import os from datetime import datetime from enum import Enum -from typing import AsyncGenerator, Dict, Iterator +from typing import AsyncGenerator, Dict, Iterator, Optional from agno.agent import Agent, RunOutputEvent from agno.models.openrouter import OpenRouter @@ -471,14 +471,18 @@ async def _process_fund_holdings_query(self, ticker: str): yield streaming.failed(f"13F query failed: {e}") async def stream( - self, query: str, session_id: str, task_id: str + self, + query: str, + session_id: str, + task_id: str, + dependencies: Optional[Dict] = None, ) -> AsyncGenerator[StreamResponse, None]: """ Main streaming method with intelligent routing support """ try: logger.info( - f"Processing SEC query request - session: {session_id}, task: {task_id}" + f"Processing SEC query request - session: {session_id}, task: {task_id}, dependencies: {dependencies}" ) # 1. Intelligent query classification @@ -529,13 +533,19 @@ async def stream( logger.error(f"Unexpected error in stream method: {e}") yield streaming.failed(f"Unexpected error: {e}") - async def notify(self, query: str, session_id: str, task_id: str): + async def notify( + self, + query: str, + session_id: str, + task_id: str, + dependencies: Optional[Dict] = None, + ): """ Main notify method with continuous SEC filing monitoring """ try: logger.info( - f"Starting SEC filing monitoring - session: {session_id}, task: {task_id}" + f"Starting SEC filing monitoring - session: {session_id}, task: {task_id}, dependencies: {dependencies}" ) # 1. Extract ticker from query diff --git a/python/valuecell/core/agent/decorator.py b/python/valuecell/core/agent/decorator.py index e22477048..5eddf1d43 100644 --- a/python/valuecell/core/agent/decorator.py +++ b/python/valuecell/core/agent/decorator.py @@ -18,6 +18,7 @@ from a2a.utils.errors import ServerError from valuecell.core.agent.card import find_local_agent_card_by_agent_name +from valuecell.core.constants import DEPENDENCIES from valuecell.core.types import ( BaseAgent, CommonResponseEvent, @@ -158,12 +159,15 @@ async def execute(self, context: RequestContext, event_queue: EventQueue) -> Non ), ) try: + # Extract dependencies from task metadata + dependencies = task_meta.get(DEPENDENCIES) + query_handler = ( self.agent.notify if task_meta and task_meta.get("notify") else self.agent.stream ) - async for response in query_handler(query, context_id, task_id): + async for response in query_handler(query, context_id, task_id, dependencies): if not isinstance(response, (StreamResponse, NotifyResponse)): raise ValueError( f"Agent {agent_name} yielded invalid response type: {type(response)}" diff --git a/python/valuecell/core/agent/tests/test_decorator.py b/python/valuecell/core/agent/tests/test_decorator.py index 925a6034a..57544b90e 100644 --- a/python/valuecell/core/agent/tests/test_decorator.py +++ b/python/valuecell/core/agent/tests/test_decorator.py @@ -32,13 +32,13 @@ def __init__(self): self.stream_called = False self.notify_called = False - async def stream(self, query, context_id, task_id): + async def stream(self, query, context_id, task_id, dependencies): self.stream_called = True yield StreamResponse( event=StreamResponseEvent.MESSAGE_CHUNK, content="Hello world" ) - async def notify(self, query, context_id, task_id): + async def notify(self, query, context_id, task_id, dependencies): self.notify_called = True yield NotifyResponse( event=NotifyResponseEvent.MESSAGE, content="Notification sent" @@ -51,7 +51,7 @@ class MockToolCallAgent(BaseAgent): def __init__(self): self.stream_called = False - async def stream(self, query, context_id, task_id): + async def stream(self, query, context_id, task_id, dependencies): self.stream_called = True yield StreamResponse( event=StreamResponseEvent.TOOL_CALL_STARTED, @@ -433,7 +433,7 @@ def test_create_wrapped_agent_success(self, mock_find_card): mock_find_card.return_value = mock_card class TestAgent(BaseAgent): - async def stream(self, query, context_id, task_id): + async def stream(self, query, context_id, task_id, dependencies): # Mock implementation pass @@ -449,7 +449,7 @@ def test_create_wrapped_agent_no_card(self, mock_find_card): mock_find_card.return_value = None class TestAgent(BaseAgent): - async def stream(self, query, context_id, task_id): + async def stream(self, query, context_id, task_id, dependencies): # Mock implementation pass diff --git a/python/valuecell/core/constants.py b/python/valuecell/core/constants.py new file mode 100644 index 000000000..ea53c8736 --- /dev/null +++ b/python/valuecell/core/constants.py @@ -0,0 +1,41 @@ +# Agno Framework Injected Constants +# Reference: https://docs.agno.com/ + +# Key for tracking business context, request types, and operational information +# Used for monitoring, analytics, and debugging purposes +METADATA = "metadata" + +# Key for injecting user profiles and temporal context information +# Enables personalized and time-aware agent responses +DEPENDENCIES = "dependencies" + + +# ValueCell Framework Injected Constants +# Context keys for retrieving runtime data and user-specific information + +# User profile data key +# Contains user preferences, settings, and historical interaction data +USER_PROFILE = "user_profile" + +# Current context data key +# Provides situational awareness and state information for the agent +CURRENT_CONTEXT = "current_context" + +# Language preference key +# Specifies the user's preferred language for responses and interactions +LANGUAGE = "language" + +# Timezone configuration key +# Defines the user's timezone for temporal calculations and time-sensitive operations +TIMEZONE = "timezone" + + +# ValueCell Framework Runtime Constants + +# ExecutionContext Storage Keys +# Stores the planning task for planning context +PLANNING_TASK = "planning_task" + +# Original User Input Key +# Stores the original user input +ORIGINAL_USER_INPUT = "original_user_input" diff --git a/python/valuecell/core/coordinate/orchestrator.py b/python/valuecell/core/coordinate/orchestrator.py index 197111959..96d2a3496 100644 --- a/python/valuecell/core/coordinate/orchestrator.py +++ b/python/valuecell/core/coordinate/orchestrator.py @@ -5,6 +5,16 @@ from a2a.types import TaskArtifactUpdateEvent, TaskState, TaskStatusUpdateEvent from valuecell.core.agent.connect import RemoteConnections +from valuecell.core.constants import ( + CURRENT_CONTEXT, + DEPENDENCIES, + LANGUAGE, + METADATA, + ORIGINAL_USER_INPUT, + PLANNING_TASK, + TIMEZONE, + USER_PROFILE, +) from valuecell.core.conversation import ( ConversationManager, ConversationStatus, @@ -21,6 +31,7 @@ from valuecell.core.task.models import TaskPattern from valuecell.core.types import BaseResponse, ConversationItemEvent, UserInput from valuecell.utils import resolve_db_path +from valuecell.utils.i18n_utils import get_current_language, get_current_timezone from valuecell.utils.uuid import generate_thread_id from .models import ExecutionPlan @@ -493,8 +504,8 @@ async def _continue_planning( planner to finish, handling repeated user-input prompts if needed, and then proceeds to execute the resulting plan. """ - planning_task = context.get_metadata("planning_task") - original_user_input = context.get_metadata("original_user_input") + planning_task = context.get_metadata(PLANNING_TASK) + original_user_input = context.get_metadata(ORIGINAL_USER_INPUT) if not all([planning_task, original_user_input]): yield self._response_factory.plan_failed( @@ -541,7 +552,7 @@ async def _cancel_execution(self, conversation_id: str): context = self._execution_contexts[conversation_id] # Cancel planning task if it exists and is not done - planning_task = context.get_metadata("planning_task") + planning_task = context.get_metadata(PLANNING_TASK) if planning_task and not planning_task.done(): planning_task.cancel() @@ -656,11 +667,22 @@ async def _execute_task_with_input_support( if not client: raise RuntimeError(f"Could not connect to agent {agent_name}") - # Configure metadata for notifications + # Configure A2A metadata metadata = metadata or {} if task.pattern != TaskPattern.ONCE: metadata["notify"] = True + # Configure Agno metadata, reference: https://docs.agno.com/examples/concepts/agent/other/agent_run_metadata#agent-run-metadata + metadata[METADATA] = {} + + # Configure Agno dependencies, reference: https://docs.agno.com/concepts/teams/dependencies#dependencies + metadata[DEPENDENCIES] = { + USER_PROFILE: {}, + CURRENT_CONTEXT: {}, + LANGUAGE: get_current_language(), + TIMEZONE: get_current_timezone(), + } + # Send message to agent remote_response = await client.send_message( task.query, diff --git a/python/valuecell/core/types.py b/python/valuecell/core/types.py index df8696088..81aa0b039 100644 --- a/python/valuecell/core/types.py +++ b/python/valuecell/core/types.py @@ -1,6 +1,6 @@ from abc import ABC, abstractmethod from enum import Enum -from typing import AsyncGenerator, Callable, Literal, Optional, Union +from typing import AsyncGenerator, Callable, Dict, Literal, Optional, Union from a2a.types import Task, TaskArtifactUpdateEvent, TaskStatusUpdateEvent from pydantic import BaseModel, Field @@ -372,7 +372,11 @@ class BaseAgent(ABC): @abstractmethod async def stream( - self, query: str, conversation_id: str, task_id: str + self, + query: str, + conversation_id: str, + task_id: str, + dependencies: Optional[Dict] = None, ) -> AsyncGenerator[StreamResponse, None]: """ Process user queries and return streaming responses (user-initiated) @@ -381,6 +385,7 @@ async def stream( query: User query content conversation_id: Conversation ID task_id: Task ID + dependencies: Optional dependencies containing language, timezone, and other context Yields: StreamResponse: Stream response containing content and completion status @@ -388,7 +393,11 @@ async def stream( raise NotImplementedError async def notify( - self, query: str, conversation_id: str, task_id: str + self, + query: str, + conversation_id: str, + task_id: str, + dependencies: Optional[Dict] = None, ) -> AsyncGenerator[NotifyResponse, None]: """ Send proactive notifications to subscribed users (agent-initiated) @@ -397,6 +406,7 @@ async def notify( query: User query content, can be empty for some agents conversation_id: Conversation ID for the notification user_id: Target user ID for the notification + dependencies: Optional dependencies containing language, timezone, and other context Yields: NotifyResponse: Notification content and status diff --git a/python/valuecell/utils/i18n_utils.py b/python/valuecell/utils/i18n_utils.py index 0936f79df..796ace120 100644 --- a/python/valuecell/utils/i18n_utils.py +++ b/python/valuecell/utils/i18n_utils.py @@ -304,6 +304,16 @@ def format_file_size(size_bytes: int, language: Optional[str] = None) -> str: return f"{formatted_size} {unit_name}" +def get_current_language() -> str: + """Get current language code.""" + return get_i18n_service().get_current_language() + + +def get_current_timezone() -> str: + """Get current timezone.""" + return get_i18n_service().get_current_timezone() + + def format_duration(seconds: int, language: Optional[str] = None) -> str: """Format duration according to language settings. From 205f7222d5fb1a4e947e1109fac21b6a453b1e0d Mon Sep 17 00:00:00 2001 From: hazeone <709547807@qq.com> Date: Thu, 16 Oct 2025 10:11:48 +0800 Subject: [PATCH 4/7] lint --- python/valuecell/agents/research_agent/core.py | 6 +++++- python/valuecell/core/agent/decorator.py | 4 +++- 2 files changed, 8 insertions(+), 2 deletions(-) diff --git a/python/valuecell/agents/research_agent/core.py b/python/valuecell/agents/research_agent/core.py index 5d7f48545..a3bbe9bfe 100644 --- a/python/valuecell/agents/research_agent/core.py +++ b/python/valuecell/agents/research_agent/core.py @@ -41,7 +41,11 @@ def __init__(self, **kwargs): set_identity(os.getenv("SEC_EMAIL")) async def stream( - self, query: str, conversation_id: str, task_id: str, dependencies: Optional[Dict] = None + self, + query: str, + conversation_id: str, + task_id: str, + dependencies: Optional[Dict] = None, ) -> AsyncGenerator[StreamResponse, None]: response_stream: Iterator[RunOutputEvent] = self.knowledge_research_agent.arun( query, diff --git a/python/valuecell/core/agent/decorator.py b/python/valuecell/core/agent/decorator.py index 5eddf1d43..0aab28dfe 100644 --- a/python/valuecell/core/agent/decorator.py +++ b/python/valuecell/core/agent/decorator.py @@ -167,7 +167,9 @@ async def execute(self, context: RequestContext, event_queue: EventQueue) -> Non if task_meta and task_meta.get("notify") else self.agent.stream ) - async for response in query_handler(query, context_id, task_id, dependencies): + async for response in query_handler( + query, context_id, task_id, dependencies + ): if not isinstance(response, (StreamResponse, NotifyResponse)): raise ValueError( f"Agent {agent_name} yielded invalid response type: {type(response)}" From 15172710fbb61c33197feb1c5f137a69c3141184 Mon Sep 17 00:00:00 2001 From: hazeone <709547807@qq.com> Date: Thu, 16 Oct 2025 10:45:00 +0800 Subject: [PATCH 5/7] fix: add log for i18n init and change to overwrite loading --- python/valuecell/__init__.py | 31 +++++++++++++++----------- python/valuecell/server/config/i18n.py | 6 +++++ 2 files changed, 24 insertions(+), 13 deletions(-) diff --git a/python/valuecell/__init__.py b/python/valuecell/__init__.py index 5fc787a93..73084c23b 100644 --- a/python/valuecell/__init__.py +++ b/python/valuecell/__init__.py @@ -10,10 +10,14 @@ "__description__", ] +import logging + # Load environment variables as early as possible import os from pathlib import Path +logger = logging.getLogger(__name__) + def load_env_file_early() -> None: """Load environment variables from .env file at package import time. @@ -22,7 +26,8 @@ def load_env_file_early() -> None: Looks for .env file in project root (two levels up from this file). Note: - - Existing environment variables take precedence (override=False) + - .env file variables override existing environment variables (override=True) + - This ensures LANG and other config vars from .env take precedence - Debug logging can be enabled via VALUECELL_DEBUG=true - Falls back to manual parsing if python-dotenv is unavailable """ @@ -35,18 +40,19 @@ def load_env_file_early() -> None: env_file = project_root / ".env" if env_file.exists(): - # Load with override=False to respect existing environment variables - load_dotenv(env_file, override=False) + # Load with override=True to allow .env file to override system variables + # This is especially important for LANG which is often set by the system + load_dotenv(env_file, override=True) # Optional: Log successful loading if DEBUG is enabled if os.getenv("VALUECELL_DEBUG", "false").lower() == "true": - print(f"✓ Environment variables loaded from {env_file}") - print(f" LANG: {os.environ.get('LANG', 'not set')}") - print(f" TIMEZONE: {os.environ.get('TIMEZONE', 'not set')}") + logger.info(f"✓ Environment variables loaded from {env_file}") + logger.info(f" LANG: {os.environ.get('LANG', 'not set')}") + logger.info(f" TIMEZONE: {os.environ.get('TIMEZONE', 'not set')}") else: # Only log if debug mode is enabled if os.getenv("VALUECELL_DEBUG", "false").lower() == "true": - print(f"ℹ️ No .env file found at {env_file}") + logger.info(f"ℹ️ No .env file found at {env_file}") except ImportError: # Fallback to manual parsing if python-dotenv is not available @@ -55,19 +61,19 @@ def load_env_file_early() -> None: except Exception as e: # Only log errors if debug mode is enabled if os.getenv("VALUECELL_DEBUG", "false").lower() == "true": - print(f"⚠️ Error loading .env file: {e}") + logger.info(f"⚠️ Error loading .env file: {e}") def _load_env_file_manual() -> None: """Fallback manual .env file parsing. This function provides a simple .env parser when python-dotenv is not available. - It respects existing environment variables and handles basic quote removal. + It overrides existing environment variables and handles basic quote removal. Note: - Lines starting with # are treated as comments - Only KEY=VALUE format is supported - - Existing environment variables are not overwritten + - Environment variables are overwritten to match dotenv behavior """ try: current_dir = Path(__file__).parent @@ -87,9 +93,8 @@ def _load_env_file_manual() -> None: value.startswith("'") and value.endswith("'") ): value = value[1:-1] - # Only set if not already set (respect existing env vars) - if key not in os.environ: - os.environ[key] = value + # Always set the value (override existing env vars to match dotenv behavior) + os.environ[key] = value except Exception: # Fail silently to avoid breaking imports pass diff --git a/python/valuecell/server/config/i18n.py b/python/valuecell/server/config/i18n.py index 061fa1dbf..657f67116 100644 --- a/python/valuecell/server/config/i18n.py +++ b/python/valuecell/server/config/i18n.py @@ -1,5 +1,6 @@ """Internationalization configuration for ValueCell application.""" +import logging import os from datetime import datetime from typing import Optional @@ -18,6 +19,8 @@ TIME_FORMATS, ) +logger = logging.getLogger(__name__) + class I18nConfig: """Configuration class for internationalization settings.""" @@ -31,6 +34,9 @@ def __init__(self, language: Optional[str] = None, timezone: Optional[str] = Non """ self._language = self._validate_language(language or self._get_env_language()) self._timezone = self._validate_timezone(timezone or self._get_env_timezone()) + logger.info( + f"Initialized i18n configuration: language={self._language}, timezone={self._timezone}" + ) def _get_env_language(self) -> str: """Get language from environment variables.""" 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b/python/valuecell/agents/sec_agent.py index a05db74d2..13c6f8562 100644 --- a/python/valuecell/agents/sec_agent.py +++ b/python/valuecell/agents/sec_agent.py @@ -14,6 +14,7 @@ from valuecell.core.agent.decorator import create_wrapped_agent from valuecell.core.agent.responses import notification, streaming +from valuecell.core.constants import LANGUAGE, TIMEZONE from valuecell.core.types import BaseAgent, StreamResponse # Configure logging @@ -282,7 +283,9 @@ async def _classify_query(self, query: str) -> QueryType: # If classification fails, default to 13F analysis (maintains backward compatibility) return QueryType.FUND_HOLDINGS - async def _process_financial_data_query(self, ticker: str): + async def _process_financial_data_query( + self, ticker: str, dependencies: Optional[Dict] = None + ): """ Process financial data queries (10-K, 8-K, 10-Q) """ @@ -319,7 +322,19 @@ async def _process_financial_data_query(self, ticker: str): ) return - # Generate financial data analysis report + # Generate financial data analysis report with user context + user_context = "" + if dependencies: + user_language = dependencies.get(LANGUAGE, "en-US") + user_timezone = dependencies.get(TIMEZONE, "America/New_York") + + user_context = f""" +## User Context: +- User's preferred language: {user_language} +- User's timezone: {user_timezone} + +Please adapt your response to the user's language preference naturally. If the user prefers a non-English language, provide your analysis in that language while maintaining professional standards.""" + analysis_prompt = f""" As a professional financial analyst, please analyze the following company's SEC financial filings: @@ -355,7 +370,7 @@ async def _process_financial_data_query(self, ticker: str): - **Investment Reference**: Reference value for investors - **Risk Alerts**: Risk points that need attention - Please ensure the analysis is objective and professional, based on actual data, avoiding excessive speculation. + Please ensure the analysis is objective and professional, based on actual data, avoiding excessive speculation.{user_context} """ response_stream: Iterator[RunOutputEvent] = self.analysis_agent.arun( @@ -378,7 +393,9 @@ async def _process_financial_data_query(self, ticker: str): except Exception as e: yield streaming.failed(f"Financial data query failed: {e}") - async def _process_fund_holdings_query(self, ticker: str): + async def _process_fund_holdings_query( + self, ticker: str, dependencies: Optional[Dict] = None + ): """ Process 13F fund holdings queries (original logic) """ @@ -407,7 +424,19 @@ async def _process_fund_holdings_query(self, ticker: str): logger.info("Successfully parsed current and historical holdings data") - # Generate 13F analysis report + # Generate 13F analysis report with user context + user_context = "" + if dependencies: + user_language = dependencies.get("language", "en-US") + user_timezone = dependencies.get("timezone", "UTC") + + user_context = f""" +## User Context: +- User's preferred language: {user_language} +- User's timezone: {user_timezone} + +Please adapt your response to the user's language preference naturally. If the user prefers a non-English language, provide your analysis in that language while maintaining professional standards.""" + analysis_prompt = f""" As a professional investment analyst, please conduct an in-depth analysis of the following 13F holdings data: @@ -446,7 +475,7 @@ async def _process_fund_holdings_query(self, ticker: str): - **Investment Insights**: Reference value for investors - **Risk Alerts**: Risk points that need attention - Please ensure the analysis is objective and professional, based on actual data, avoiding excessive speculation. + Please ensure the analysis is objective and professional, based on actual data, avoiding excessive speculation.{user_context} """ response_stream: Iterator[RunOutputEvent] = await self.analysis_agent.arun( @@ -523,10 +552,14 @@ async def stream( # 3. Route to appropriate processing method based on query type if query_type == QueryType.FINANCIAL_DATA: - async for result in self._process_financial_data_query(ticker): + async for result in self._process_financial_data_query( + ticker, dependencies + ): yield result else: # QueryType.FUND_HOLDINGS - async for result in self._process_fund_holdings_query(ticker): + async for result in self._process_fund_holdings_query( + ticker, dependencies + ): yield result except Exception as e: From 4047f249f7649b26a503d4fdd74973c404c7ec36 Mon Sep 17 00:00:00 2001 From: hazeone <709547807@qq.com> Date: Thu, 16 Oct 2025 11:30:45 +0800 Subject: [PATCH 7/7] add test --- .../coordinate/tests/test_orchestrator.py | 89 +++++++++++++++++++ 1 file changed, 89 insertions(+) diff --git a/python/valuecell/core/coordinate/tests/test_orchestrator.py b/python/valuecell/core/coordinate/tests/test_orchestrator.py index ffbe769c0..4286aceb7 100644 --- a/python/valuecell/core/coordinate/tests/test_orchestrator.py +++ b/python/valuecell/core/coordinate/tests/test_orchestrator.py @@ -330,3 +330,92 @@ async def test_agent_connection_error( out.append(chunk) assert any("(Error)" in c.data.payload.content for c in out if c.data.payload) + + +@pytest.mark.asyncio +async def test_continue_planning_metadata_retrieval( + orchestrator: AgentOrchestrator, conversation_id: str, sample_user_input: UserInput +): + """Test that _continue_planning correctly retrieves metadata from context.""" + from valuecell.core.coordinate.orchestrator import ExecutionContext + from valuecell.core.constants import PLANNING_TASK, ORIGINAL_USER_INPUT + + # Create a real asyncio.Task-like object that can be awaited + import asyncio + + async def mock_plan_coroutine(): + return Mock() # Mock ExecutionPlan + + # Create actual task from coroutine, but mark it as done with a result + mock_planning_task = asyncio.create_task(mock_plan_coroutine()) + # Wait a bit to let it complete + await asyncio.sleep(0.01) + + # Create execution context with required metadata + context = ExecutionContext("planning", conversation_id, "thread-1", "user-1") + context.add_metadata(**{ + PLANNING_TASK: mock_planning_task, + ORIGINAL_USER_INPUT: sample_user_input + }) + + # Set up execution context in orchestrator + orchestrator._execution_contexts[conversation_id] = context + + # Mock dependencies + orchestrator._response_factory.plan_failed = Mock() + + async def mock_execute_plan(*args): + yield Mock() + + # Mock the async generator method directly + orchestrator._execute_plan_with_input_support = Mock(return_value=mock_execute_plan()) + + # Call the method to trigger metadata retrieval (lines 507-508) + results = [] + async for response in orchestrator._continue_planning(conversation_id, "thread-1", context): + results.append(response) + + # Verify that the method executed successfully + # The fact that we got here without errors means metadata was retrieved correctly + assert conversation_id not in orchestrator._execution_contexts # Context should be cleaned up + assert mock_planning_task.done() # Task should be completed + assert len(results) >= 1 # Should have yielded at least one response + + +@pytest.mark.asyncio +async def test_cancel_execution_with_planning_task( + orchestrator: AgentOrchestrator, conversation_id: str +): + """Test that _cancel_execution correctly retrieves planning_task metadata.""" + from valuecell.core.coordinate.orchestrator import ExecutionContext + from valuecell.core.constants import PLANNING_TASK + + # Create mock planning task + mock_planning_task = Mock() + mock_planning_task.done.return_value = False + mock_planning_task.cancel = Mock() + + # Create execution context with planning task + context = ExecutionContext("planning", conversation_id, "thread-1", "user-1") + context.add_metadata(**{PLANNING_TASK: mock_planning_task}) + + # Set up execution context in orchestrator + orchestrator._execution_contexts[conversation_id] = context + + # Mock user input manager + orchestrator.user_input_manager.clear_request = Mock() + + # Mock conversation manager + mock_conversation = _stub_conversation() + orchestrator.conversation_manager.get_conversation.return_value = mock_conversation + orchestrator.conversation_manager.update_conversation = AsyncMock() + + # Call _cancel_execution to trigger + await orchestrator._cancel_execution(conversation_id) + + # Verify planning task was retrieved and cancelled + mock_planning_task.cancel.assert_called_once() + + # Verify context cleanup + assert conversation_id not in orchestrator._execution_contexts + orchestrator.user_input_manager.clear_request.assert_called_once_with(conversation_id)