mirror of
https://github.com/crewAIInc/crewAI.git
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221 lines
8.7 KiB
Python
221 lines
8.7 KiB
Python
"""Pytest configuration for crewAI workspace."""
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from collections.abc import Generator
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import gzip
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import os
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from pathlib import Path
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import tempfile
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from typing import Any
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from dotenv import load_dotenv
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import pytest
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from vcr.request import Request # type: ignore[import-untyped]
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env_test_path = Path(__file__).parent / ".env.test"
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load_dotenv(env_test_path, override=True)
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load_dotenv(override=True)
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@pytest.fixture(autouse=True, scope="function")
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def cleanup_event_handlers() -> Generator[None, Any, None]:
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"""Clean up event bus handlers after each test to prevent test pollution."""
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yield
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try:
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from crewai.events.event_bus import crewai_event_bus
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with crewai_event_bus._rwlock.w_locked():
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crewai_event_bus._sync_handlers.clear()
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crewai_event_bus._async_handlers.clear()
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except Exception: # noqa: S110
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pass
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@pytest.fixture(autouse=True, scope="function")
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def reset_event_state() -> None:
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"""Reset event system state before each test for isolation."""
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from crewai.events.base_events import reset_emission_counter
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from crewai.events.event_context import (
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EventContextConfig,
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_event_context_config,
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_event_id_stack,
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)
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reset_emission_counter()
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_event_id_stack.set(())
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_event_context_config.set(EventContextConfig())
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@pytest.fixture(autouse=True, scope="function")
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def setup_test_environment() -> Generator[None, Any, None]:
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"""Setup test environment for crewAI workspace."""
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with tempfile.TemporaryDirectory() as temp_dir:
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storage_dir = Path(temp_dir) / "crewai_test_storage"
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storage_dir.mkdir(parents=True, exist_ok=True)
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if not storage_dir.exists() or not storage_dir.is_dir():
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raise RuntimeError(
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f"Failed to create test storage directory: {storage_dir}"
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)
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try:
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test_file = storage_dir / ".permissions_test"
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test_file.touch()
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test_file.unlink()
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except (OSError, IOError) as e:
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raise RuntimeError(
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f"Test storage directory {storage_dir} is not writable: {e}"
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) from e
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os.environ["CREWAI_STORAGE_DIR"] = str(storage_dir)
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os.environ["CREWAI_TESTING"] = "true"
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try:
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yield
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finally:
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os.environ.pop("CREWAI_TESTING", "true")
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os.environ.pop("CREWAI_STORAGE_DIR", None)
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os.environ.pop("CREWAI_DISABLE_TELEMETRY", "true")
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os.environ.pop("OTEL_SDK_DISABLED", "true")
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os.environ.pop("OPENAI_BASE_URL", "https://api.openai.com/v1")
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os.environ.pop("OPENAI_API_BASE", "https://api.openai.com/v1")
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HEADERS_TO_FILTER = {
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"authorization": "AUTHORIZATION-XXX",
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"content-security-policy": "CSP-FILTERED",
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"cookie": "COOKIE-XXX",
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"set-cookie": "SET-COOKIE-XXX",
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"permissions-policy": "PERMISSIONS-POLICY-XXX",
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"referrer-policy": "REFERRER-POLICY-XXX",
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"strict-transport-security": "STS-XXX",
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"x-content-type-options": "X-CONTENT-TYPE-XXX",
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"x-frame-options": "X-FRAME-OPTIONS-XXX",
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"x-permitted-cross-domain-policies": "X-PERMITTED-XXX",
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"x-request-id": "X-REQUEST-ID-XXX",
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"x-runtime": "X-RUNTIME-XXX",
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"x-xss-protection": "X-XSS-PROTECTION-XXX",
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"x-stainless-arch": "X-STAINLESS-ARCH-XXX",
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"x-stainless-os": "X-STAINLESS-OS-XXX",
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"x-stainless-read-timeout": "X-STAINLESS-READ-TIMEOUT-XXX",
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"cf-ray": "CF-RAY-XXX",
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"etag": "ETAG-XXX",
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"Strict-Transport-Security": "STS-XXX",
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"access-control-expose-headers": "ACCESS-CONTROL-XXX",
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"openai-organization": "OPENAI-ORG-XXX",
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"openai-project": "OPENAI-PROJECT-XXX",
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"x-ratelimit-limit-requests": "X-RATELIMIT-LIMIT-REQUESTS-XXX",
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"x-ratelimit-limit-tokens": "X-RATELIMIT-LIMIT-TOKENS-XXX",
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"x-ratelimit-remaining-requests": "X-RATELIMIT-REMAINING-REQUESTS-XXX",
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"x-ratelimit-remaining-tokens": "X-RATELIMIT-REMAINING-TOKENS-XXX",
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"x-ratelimit-reset-requests": "X-RATELIMIT-RESET-REQUESTS-XXX",
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"x-ratelimit-reset-tokens": "X-RATELIMIT-RESET-TOKENS-XXX",
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"x-goog-api-key": "X-GOOG-API-KEY-XXX",
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"api-key": "X-API-KEY-XXX",
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"User-Agent": "X-USER-AGENT-XXX",
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"apim-request-id:": "X-API-CLIENT-REQUEST-ID-XXX",
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"azureml-model-session": "AZUREML-MODEL-SESSION-XXX",
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"x-ms-client-request-id": "X-MS-CLIENT-REQUEST-ID-XXX",
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"x-ms-region": "X-MS-REGION-XXX",
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"apim-request-id": "APIM-REQUEST-ID-XXX",
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"x-api-key": "X-API-KEY-XXX",
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"anthropic-organization-id": "ANTHROPIC-ORGANIZATION-ID-XXX",
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"request-id": "REQUEST-ID-XXX",
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"anthropic-ratelimit-input-tokens-limit": "ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX",
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"anthropic-ratelimit-input-tokens-remaining": "ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX",
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"anthropic-ratelimit-input-tokens-reset": "ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX",
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"anthropic-ratelimit-output-tokens-limit": "ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX",
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"anthropic-ratelimit-output-tokens-remaining": "ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX",
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"anthropic-ratelimit-output-tokens-reset": "ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX",
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"anthropic-ratelimit-tokens-limit": "ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX",
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"anthropic-ratelimit-tokens-remaining": "ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX",
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"anthropic-ratelimit-tokens-reset": "ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX",
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"x-amz-date": "X-AMZ-DATE-XXX",
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"amz-sdk-invocation-id": "AMZ-SDK-INVOCATION-ID-XXX",
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"accept-encoding": "ACCEPT-ENCODING-XXX",
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"x-amzn-requestid": "X-AMZN-REQUESTID-XXX",
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"x-amzn-RequestId": "X-AMZN-REQUESTID-XXX",
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"x-a2a-notification-token": "X-A2A-NOTIFICATION-TOKEN-XXX",
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"x-a2a-version": "X-A2A-VERSION-XXX",
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}
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def _filter_request_headers(request: Request) -> Request: # type: ignore[no-any-unimported]
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"""Filter sensitive headers from request before recording."""
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for header_name, replacement in HEADERS_TO_FILTER.items():
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for variant in [header_name, header_name.upper(), header_name.title()]:
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if variant in request.headers:
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request.headers[variant] = [replacement]
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request.method = request.method.upper()
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return request
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def _filter_response_headers(response: dict[str, Any]) -> dict[str, Any]:
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"""Filter sensitive headers from response before recording."""
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for encoding_header in ["Content-Encoding", "content-encoding"]:
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if encoding_header in response["headers"]:
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encoding = response["headers"].pop(encoding_header)
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if encoding and encoding[0] == "gzip":
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body = response.get("body", {}).get("string", b"")
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if isinstance(body, bytes) and body.startswith(b"\x1f\x8b"):
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response["body"]["string"] = gzip.decompress(body).decode("utf-8")
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for header_name, replacement in HEADERS_TO_FILTER.items():
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for variant in [header_name, header_name.upper(), header_name.title()]:
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if variant in response["headers"]:
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response["headers"][variant] = [replacement]
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return response
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@pytest.fixture(scope="module")
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def vcr_cassette_dir(request: Any) -> str:
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"""Generate cassette directory path based on test module location.
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Organizes cassettes to mirror test directory structure within each package:
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lib/crewai/tests/llms/google/test_google.py -> lib/crewai/tests/cassettes/llms/google/
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lib/crewai-tools/tests/tools/test_search.py -> lib/crewai-tools/tests/cassettes/tools/
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"""
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test_file = Path(request.fspath)
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for parent in test_file.parents:
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if parent.name in ("crewai", "crewai-tools") and parent.parent.name == "lib":
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package_root = parent
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break
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else:
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package_root = test_file.parent
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tests_root = package_root / "tests"
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test_dir = test_file.parent
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if test_dir != tests_root:
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relative_path = test_dir.relative_to(tests_root)
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cassette_dir = tests_root / "cassettes" / relative_path
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else:
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cassette_dir = tests_root / "cassettes"
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cassette_dir.mkdir(parents=True, exist_ok=True)
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return str(cassette_dir)
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@pytest.fixture(scope="module")
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def vcr_config(vcr_cassette_dir: str) -> dict[str, Any]:
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"""Configure VCR with organized cassette storage."""
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config = {
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"cassette_library_dir": vcr_cassette_dir,
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"record_mode": os.getenv("PYTEST_VCR_RECORD_MODE", "once"),
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"filter_headers": [(k, v) for k, v in HEADERS_TO_FILTER.items()],
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"before_record_request": _filter_request_headers,
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"before_record_response": _filter_response_headers,
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"filter_query_parameters": ["key"],
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"match_on": ["method", "scheme", "host", "port", "path"],
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}
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if os.getenv("GITHUB_ACTIONS") == "true":
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config["record_mode"] = "none"
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return config
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