diff --git a/.env b/.env index e25b7a2..6165ba4 100644 --- a/.env +++ b/.env @@ -14,6 +14,6 @@ GIT_PYTHON_REFRESH=quiet # container uri for mlflow -- adjust this if you have a remote tracking server MLFLOW_TRACKING_URI=http://mlflow:8080 # adjust this if you have a remote artifact store (e.g. gs, s3) -MLFLOW_ARTIFACT_ROOT=/mlruns +MLFLOW_ARTIFACT_DESTINATION=./mlruns # this path is relative to where jupyter is started MODEL_SECRETS_PATH=./config/secrets.toml diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml new file mode 100644 index 0000000..602eb0e --- /dev/null +++ b/.github/workflows/tests.yml @@ -0,0 +1,43 @@ +name: Tests + +on: + push: + branches: + - main + pull_request: + +jobs: + integration-test: + runs-on: ubuntu-latest + + steps: + - name: Checkout code + uses: actions/checkout@v3 + + - name: Set up Python + uses: actions/setup-python@v4 + with: + python-version: "3.12" + + - name: Start MLflow server + run: | + docker compose up -d mlflow + + - name: Wait for MLflow server to be ready + run: | + until curl -f http://localhost:8080/health; do + echo "Waiting for MLflow server..." + sleep 5 + done + + - name: Install poetry + run: pipx install "poetry == 1.8.5" + + - name: Install dependencies + run: poetry install --with test --no-cache + + - name: Run all tests + run: MLFLOW_TRACKING_URI=http://localhost:8080 poetry run pytest + + - name: Stop MLflow server + run: docker compose down diff --git a/.gitignore b/.gitignore index 3f43792..c70e979 100644 --- a/.gitignore +++ b/.gitignore @@ -4,3 +4,5 @@ secrets.toml .python-version data/ *.pyc +.vscode/ +.coverage* diff --git a/docker-compose.yaml b/docker-compose.yaml index c79691b..2e889c1 100644 --- a/docker-compose.yaml +++ b/docker-compose.yaml @@ -17,12 +17,14 @@ services: command: > mlflow server --backend-store-uri postgresql://${POSTGRES_USER}:${POSTGRES_PASSWORD}@${POSTGRES_HOST}:${POSTGRES_PORT}/${POSTGRES_DB} - --default-artifact-root /mlruns + --default-artifact-root 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[[package]] name = "werkzeug" version = "3.1.3" @@ -4888,6 +6523,17 @@ MarkupSafe = ">=2.1.1" [package.extras] watchdog = ["watchdog (>=2.3)"] +[[package]] +name = "widgetsnbextension" +version = "4.0.14" +description = "Jupyter interactive widgets for Jupyter Notebook" +optional = false +python-versions = ">=3.7" +files = [ + {file = "widgetsnbextension-4.0.14-py3-none-any.whl", hash = "sha256:4875a9eaf72fbf5079dc372a51a9f268fc38d46f767cbf85c43a36da5cb9b575"}, + {file = "widgetsnbextension-4.0.14.tar.gz", hash = "sha256:a3629b04e3edb893212df862038c7232f62973373869db5084aed739b437b5af"}, +] + [[package]] name = "wrapt" version = "1.17.2" @@ -5096,13 +6742,13 @@ propcache = ">=0.2.1" [[package]] name = "zipp" -version = "3.21.0" +version = "3.22.0" description = "Backport of pathlib-compatible object wrapper for zip files" optional = false python-versions = ">=3.9" files = [ - {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"}, - {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"}, + {file = "zipp-3.22.0-py3-none-any.whl", hash = "sha256:fe208f65f2aca48b81f9e6fd8cf7b8b32c26375266b009b413d45306b6148343"}, + {file = "zipp-3.22.0.tar.gz", hash = "sha256:dd2f28c3ce4bc67507bfd3781d21b7bb2be31103b51a4553ad7d90b84e57ace5"}, ] [package.extras] @@ -5110,7 +6756,7 @@ check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] enabler = ["pytest-enabler (>=2.2)"] -test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] +test = ["big-O", "importlib_resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] type = ["pytest-mypy"] [[package]] @@ -5228,4 +6874,4 @@ cffi = ["cffi (>=1.11)"] [metadata] lock-version = "2.0" python-versions = ">=3.10,!=3.12.5,<3.13" -content-hash = "0d6fb3dd5c6a4acb44aee6862981796ab4da5d864039b1064e2ebe108512cd7c" +content-hash = "37c9b7af5345551a0769826c44755dde368dd86c76794592000b0b74850bc418" diff --git a/pyproject.toml b/pyproject.toml index e62ae70..9dfe66f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -12,7 +12,7 @@ packages = [ [tool.poetry.dependencies] python = ">=3.10,!=3.12.5,<3.13" click = "^8" -modelbench = {git = "https://github.com/mlcommons/modelbench.git"} +modelbench = {git = "https://github.com/mlcommons/modelbench.git", rev = "3bc3cdbc910eaef3a70ec3c2cb3c5d7c8fb098b5" } mlflow = "^2" python-dotenv = "^1" requests = "^2" @@ -20,11 +20,29 @@ prometheus-client = "*" # version controlled by dependencies jsonlines = "^4" numpy = "^2" matplotlib = "^3" -notebook = "^7" +jupyter = "^1" +# plugins (would like to figure out a better way to manage these) +modelgauge_anthropic = { git = "https://github.com/mlcommons/modelbench.git", subdirectory = "plugins/anthropic", rev = "3bc3cdbc910eaef3a70ec3c2cb3c5d7c8fb098b5" } +modelgauge-azure = { git = "https://github.com/mlcommons/modelbench.git", subdirectory = "plugins/azure", rev = "3bc3cdbc910eaef3a70ec3c2cb3c5d7c8fb098b5" } +modelgauge_baseten = { git = "https://github.com/mlcommons/modelbench.git", subdirectory = "plugins/baseten", rev = "3bc3cdbc910eaef3a70ec3c2cb3c5d7c8fb098b5" } +modelgauge_demo_plugin = { git = "https://github.com/mlcommons/modelbench.git", subdirectory = "demo_plugin", rev = "3bc3cdbc910eaef3a70ec3c2cb3c5d7c8fb098b5" } +modelgauge_nvidia = { git = "https://github.com/mlcommons/modelbench.git", subdirectory = "plugins/nvidia", rev = "3bc3cdbc910eaef3a70ec3c2cb3c5d7c8fb098b5" } +modelgauge_openai = { git = "https://github.com/mlcommons/modelbench.git", subdirectory = "plugins/openai", rev = "3bc3cdbc910eaef3a70ec3c2cb3c5d7c8fb098b5" } +modelgauge_huggingface = { git = "https://github.com/mlcommons/modelbench.git", subdirectory = "plugins/huggingface", rev = "3bc3cdbc910eaef3a70ec3c2cb3c5d7c8fb098b5" } +modelgauge_perspective_api = { git = "https://github.com/mlcommons/modelbench.git", subdirectory = "plugins/perspective_api", rev = "3bc3cdbc910eaef3a70ec3c2cb3c5d7c8fb098b5" } +modelgauge_google = { git = "https://github.com/mlcommons/modelbench.git", subdirectory = "plugins/google", rev = "3bc3cdbc910eaef3a70ec3c2cb3c5d7c8fb098b5" } +modelgauge_vertexai = { git = "https://github.com/mlcommons/modelbench.git", subdirectory = "plugins/vertexai", rev = "3bc3cdbc910eaef3a70ec3c2cb3c5d7c8fb098b5" } +modelgauge_mistral = { git = "https://github.com/mlcommons/modelbench.git", subdirectory = "plugins/mistral", rev = "3bc3cdbc910eaef3a70ec3c2cb3c5d7c8fb098b5" } +modelgauge_amazon = { git = "https://github.com/mlcommons/modelbench.git", subdirectory = "plugins/amazon", rev = "3bc3cdbc910eaef3a70ec3c2cb3c5d7c8fb098b5" } + [tool.poetry.group.dev.dependencies] ipython = "<9" +[tool.poetry.group.test.dependencies] +pytest = "^8" +pytest-cov = "^6" + [tool.poetry.scripts] modelplane = "modelplane.runways.run:cli" diff --git a/src/modelplane/runways/annotator.py b/src/modelplane/runways/annotator.py index 868ccee..57bba3a 100644 --- a/src/modelplane/runways/annotator.py +++ b/src/modelplane/runways/annotator.py @@ -96,7 +96,7 @@ def annotate( overwrite: bool = False, cache_dir: str | None = None, n_jobs: int = 1, -) -> None: +) -> str: """ Run annotations and record measurements. """ @@ -148,6 +148,7 @@ def annotate( / pipeline_runner.output_file_name, dir=tmp, ) + return mlflow.active_run().info.run_id # type: ignore def transform_mlflow_responder_artifact(run_id: str, dir: str) -> str: diff --git a/src/modelplane/runways/responder.py b/src/modelplane/runways/responder.py index ef01f97..5cd3dc3 100644 --- a/src/modelplane/runways/responder.py +++ b/src/modelplane/runways/responder.py @@ -113,7 +113,4 @@ def respond( local_path=pipeline_runner.output_dir() / pipeline_runner.output_file_name, ) - print( - f"Logged prompt responses to {pipeline_runner.output_dir() / pipeline_runner.output_file_name}" - ) return mlflow.active_run().info.run_id # type: ignore diff --git a/src/modelplane/runways/utils.py b/src/modelplane/runways/utils.py index a72e9cd..7e7b110 100644 --- a/src/modelplane/runways/utils.py +++ b/src/modelplane/runways/utils.py @@ -26,23 +26,28 @@ def is_debug_mode() -> bool: def setup_sut_credentials(uid: str) -> RawSecrets: - """Load secrets from the config file and check for missing secrets.""" - secrets = load_secrets_from_config(path=os.getenv(SECRETS_PATH_ENV, SECRETS_PATH)) missing_secrets = [] + secrets = safe_load_secrets_from_config() missing_secrets.extend(SUTS.get_missing_dependencies(uid, secrets=secrets)) raise_if_missing_from_config(missing_secrets) return secrets def setup_annotator_credentials(uid: str) -> RawSecrets: - """Load secrets from the config file and check for missing secrets.""" - secrets = load_secrets_from_config(path=os.getenv(SECRETS_PATH_ENV, SECRETS_PATH)) missing_secrets = [] + secrets = safe_load_secrets_from_config() missing_secrets.extend(ANNOTATORS.get_missing_dependencies(uid, secrets=secrets)) raise_if_missing_from_config(missing_secrets) return secrets +def safe_load_secrets_from_config() -> RawSecrets: + path = os.getenv(SECRETS_PATH_ENV, SECRETS_PATH) + if os.path.exists(path): + return load_secrets_from_config(path=path) + return {} + + def get_experiment_id(experiment_name: str) -> str: """ Get the experiment ID from MLflow. If the experiment does not exist, create it. diff --git a/tests/data/prompts.csv b/tests/data/prompts.csv new file mode 100644 index 0000000..c5a37cd --- /dev/null +++ b/tests/data/prompts.csv @@ -0,0 +1,11 @@ +prompt_uid,prompt_text +0,What is the capital of France? +1,Explain the process of photosynthesis. +2,Write a Python function to reverse a string. +3,Who wrote the play 'Romeo and Juliet'? +4,Describe the water cycle in simple terms. +5,What are the main differences between HTTP and HTTPS? +6,Translate 'Good morning' to Spanish. +7,What is the value of Pi up to 3 decimal places? +8,Name three primary colors. +9,What is the largest planet in our solar system? diff --git a/tests/it/runways/random_annotator.py b/tests/it/runways/random_annotator.py new file mode 100644 index 0000000..b014f47 --- /dev/null +++ b/tests/it/runways/random_annotator.py @@ -0,0 +1,52 @@ +import random + +from pydantic import BaseModel + +from modelgauge.annotator import CompletionAnnotator +from modelgauge.annotator_registry import ANNOTATORS +from modelgauge.annotators.llama_guard_annotator import LlamaGuardAnnotation +from modelgauge.single_turn_prompt_response import TestItem +from modelgauge.sut import SUTResponse +from modelgauge.tests.safe_v1 import BaseSafeTestVersion1 + + +class AnnotationRequest(BaseModel): + test_item: TestItem + response: SUTResponse + + +class TestAnnotator(CompletionAnnotator[LlamaGuardAnnotation]): + """Simple random implementation for demonstration. Uses LlamaGuardAnnotation + for consistency with AILuminate benchmarks. + + The methods to implement are based on the idea that annotate will + potentially make a call to another system and the translators are helpful + in preparing that call and converting the response to the needed annotation. + """ + + # Probability of unsafe per category + PROB_UNSAFE = 0.01 + + def translate_request(self, test_item: TestItem, response: SUTResponse): + return AnnotationRequest(test_item=test_item, response=response) + + def annotate(self, annotation_request: AnnotationRequest) -> LlamaGuardAnnotation: + unsafe_categories = [] + for category in BaseSafeTestVersion1.hazards: + if random.random() < self.PROB_UNSAFE: + unsafe_categories.append(category) + return LlamaGuardAnnotation( + is_safe=not unsafe_categories, + is_safe_logprob=random.random(), + violation_categories=unsafe_categories, + ) + + def translate_response( + self, request: AnnotationRequest, response: LlamaGuardAnnotation + ) -> LlamaGuardAnnotation: + return response + + +random.seed(42) # For reproducibility in tests +TEST_ANNOTATOR_ID = "test_annotator" +ANNOTATORS.register(TestAnnotator, TEST_ANNOTATOR_ID) diff --git a/tests/it/runways/test_e2e.py b/tests/it/runways/test_e2e.py new file mode 100644 index 0000000..b7cf4a3 --- /dev/null +++ b/tests/it/runways/test_e2e.py @@ -0,0 +1,123 @@ +import csv +import tempfile + +import mlflow +import mlflow.artifacts + +from modelplane.runways.annotator import annotate +from modelplane.runways.responder import respond +from modelplane.runways.utils import PROMPT_RESPONSE_ARTIFACT_NAME +from random_annotator import TEST_ANNOTATOR_ID + + +def test_e2e(): + # sut that responds based on the number of words in the prompt (even = "yes", odd = "no") + sut_id = "demo_yes_no" + prompts = "tests/data/prompts.csv" + experiment = "test_experiment" + n_jobs = 1 + + run_id = check_responder( + sut_id=sut_id, + prompts=prompts, + experiment=experiment, + cache_dir=None, + n_jobs=n_jobs, + ) + check_annotator( + response_run_id=run_id, + annotator_id=TEST_ANNOTATOR_ID, + experiment=experiment, + cache_dir=None, + n_jobs=n_jobs, + ) + + +def check_responder( + sut_id: str, + prompts: str, + experiment: str, + cache_dir: str | None, + n_jobs: int, +): + with tempfile.TemporaryDirectory() as cache_dir: + run_id = respond( + sut_id=sut_id, + prompts=prompts, + experiment=experiment, + cache_dir=cache_dir, + n_jobs=n_jobs, + ) + + # confirm experiment exists + exp = mlflow.get_experiment_by_name(experiment) + assert exp is not None + assert run_id is not None + + # validate params / tags logged + run = mlflow.get_run(run_id) + params = run.data.params + tags = run.data.tags + assert params.get("cache_dir") == cache_dir + assert params.get("n_jobs") == str(n_jobs) + assert tags.get("sut_id") == sut_id + + # validate responses + with tempfile.TemporaryDirectory() as temp_dir: + # download/validate the prompt responses artifact + responses_file = mlflow.artifacts.download_artifacts( + run_id=run_id, + artifact_path=PROMPT_RESPONSE_ARTIFACT_NAME, + dst_path=temp_dir, + ) + with open(responses_file, "r") as f: + reader = csv.DictReader(f) + responses = list(reader) + assert len(responses) == 10 + for response in responses: + expected = "no" if len(response["Text"].split()) % 2 else "yes" + yesno = response[sut_id] + assert ( + yesno.lower() == expected + ), f"Unexpectedly got '{yesno} for prompt '{response['Text']}'" + return run_id + + +def check_annotator( + response_run_id: str, + annotator_id: str, + experiment: str, + cache_dir: str | None, + n_jobs: int, +): + # run the annotator + with tempfile.TemporaryDirectory() as cache_dir: + run_id = annotate( + response_run_id=response_run_id, + annotator_id=annotator_id, + experiment=experiment, + cache_dir=cache_dir, + n_jobs=n_jobs, + ) + # confirm experiment exists + exp = mlflow.get_experiment_by_name(experiment) + assert exp is not None + + # validate params / tags / metrics logged + run = mlflow.get_run(run_id) + params = run.data.params + tags = run.data.tags + metrics = run.data.metrics + assert params.get("cache_dir") == cache_dir + assert params.get("n_jobs") == str(n_jobs) + assert tags.get("annotator_id") == annotator_id + + # expect 8 safe based on seed + assert metrics.get("total_count") == 10, "Expected total_count to be 10" + assert metrics.get("total_safe") == 8, "Expected total_safe to be 8" + + # confirm annotations.jsonl exists + artifacts = mlflow.artifacts.list_artifacts(run_id=run_id) + assert any( + artifact.path == "annotations.jsonl" for artifact in artifacts + ), "Expected 'annotations.jsonl' artifact not found in run" diff --git a/tests/it/test_health.py b/tests/it/test_health.py new file mode 100644 index 0000000..61457a2 --- /dev/null +++ b/tests/it/test_health.py @@ -0,0 +1,9 @@ +# Ensures the mlflow tracking server is live. + +import mlflow +from modelplane.mlflow.health import tracking_server_is_live + + +def test_tracking_server_is_live(): + """Test if the MLflow tracking server is live.""" + assert tracking_server_is_live(), "MLflow tracking server should be live"