Files
crewAI/conftest.py
Greyson LaLonde 4ab53c0726 feat(files): add file_id upload support and text file handling
- Add VCR patch for binary request bodies (base64 encoding fallback)
- Add generate_filename() utility for UUID-based filenames with extension
- Add OpenAIResponsesFormatter for Responses API (input_image, input_file)
- Fix OpenAI uploader to use 'vision' purpose for images
- Fix Anthropic uploader to use tuple format (filename, content, content_type)
- Add TextConstraints and text support for Gemini
- Add file_id upload integration tests for Anthropic and OpenAI Responses API
2026-01-23 01:57:29 -05:00

263 lines
10 KiB
Python

"""Pytest configuration for crewAI workspace."""
import base64
from collections.abc import Generator
import gzip
import os
from pathlib import Path
import tempfile
from typing import Any
from dotenv import load_dotenv
import pytest
from vcr.request import Request # type: ignore[import-untyped]
import vcr.stubs.httpx_stubs as httpx_stubs # type: ignore[import-untyped]
env_test_path = Path(__file__).parent / ".env.test"
load_dotenv(env_test_path, override=True)
load_dotenv(override=True)
def _patched_make_vcr_request(httpx_request: Any, **kwargs: Any) -> Any:
"""Patched version of VCR's _make_vcr_request that handles binary content.
The original implementation fails on binary request bodies (like file uploads)
because it assumes all content can be decoded as UTF-8.
"""
raw_body = httpx_request.read()
try:
body = raw_body.decode("utf-8")
except UnicodeDecodeError:
body = base64.b64encode(raw_body).decode("ascii")
uri = str(httpx_request.url)
headers = dict(httpx_request.headers)
return Request(httpx_request.method, uri, body, headers)
httpx_stubs._make_vcr_request = _patched_make_vcr_request
@pytest.fixture(autouse=True, scope="function")
def cleanup_event_handlers() -> Generator[None, Any, None]:
"""Clean up event bus handlers after each test to prevent test pollution."""
yield
try:
from crewai.events.event_bus import crewai_event_bus
with crewai_event_bus._rwlock.w_locked():
crewai_event_bus._sync_handlers.clear()
crewai_event_bus._async_handlers.clear()
except Exception: # noqa: S110
pass
@pytest.fixture(autouse=True, scope="function")
def reset_event_state() -> None:
"""Reset event system state before each test for isolation."""
from crewai.events.base_events import reset_emission_counter
from crewai.events.event_context import (
EventContextConfig,
_event_context_config,
_event_id_stack,
)
reset_emission_counter()
_event_id_stack.set(())
_event_context_config.set(EventContextConfig())
@pytest.fixture(autouse=True, scope="function")
def setup_test_environment() -> Generator[None, Any, None]:
"""Setup test environment for crewAI workspace."""
with tempfile.TemporaryDirectory() as temp_dir:
storage_dir = Path(temp_dir) / "crewai_test_storage"
storage_dir.mkdir(parents=True, exist_ok=True)
if not storage_dir.exists() or not storage_dir.is_dir():
raise RuntimeError(
f"Failed to create test storage directory: {storage_dir}"
)
try:
test_file = storage_dir / ".permissions_test"
test_file.touch()
test_file.unlink()
except (OSError, IOError) as e:
raise RuntimeError(
f"Test storage directory {storage_dir} is not writable: {e}"
) from e
os.environ["CREWAI_STORAGE_DIR"] = str(storage_dir)
os.environ["CREWAI_TESTING"] = "true"
try:
yield
finally:
os.environ.pop("CREWAI_TESTING", "true")
os.environ.pop("CREWAI_STORAGE_DIR", None)
os.environ.pop("CREWAI_DISABLE_TELEMETRY", "true")
os.environ.pop("OTEL_SDK_DISABLED", "true")
os.environ.pop("OPENAI_BASE_URL", "https://api.openai.com/v1")
os.environ.pop("OPENAI_API_BASE", "https://api.openai.com/v1")
HEADERS_TO_FILTER = {
"authorization": "AUTHORIZATION-XXX",
"content-security-policy": "CSP-FILTERED",
"cookie": "COOKIE-XXX",
"set-cookie": "SET-COOKIE-XXX",
"permissions-policy": "PERMISSIONS-POLICY-XXX",
"referrer-policy": "REFERRER-POLICY-XXX",
"strict-transport-security": "STS-XXX",
"x-content-type-options": "X-CONTENT-TYPE-XXX",
"x-frame-options": "X-FRAME-OPTIONS-XXX",
"x-permitted-cross-domain-policies": "X-PERMITTED-XXX",
"x-request-id": "X-REQUEST-ID-XXX",
"x-runtime": "X-RUNTIME-XXX",
"x-xss-protection": "X-XSS-PROTECTION-XXX",
"x-stainless-arch": "X-STAINLESS-ARCH-XXX",
"x-stainless-os": "X-STAINLESS-OS-XXX",
"x-stainless-read-timeout": "X-STAINLESS-READ-TIMEOUT-XXX",
"cf-ray": "CF-RAY-XXX",
"etag": "ETAG-XXX",
"Strict-Transport-Security": "STS-XXX",
"access-control-expose-headers": "ACCESS-CONTROL-XXX",
"openai-organization": "OPENAI-ORG-XXX",
"openai-project": "OPENAI-PROJECT-XXX",
"x-ratelimit-limit-requests": "X-RATELIMIT-LIMIT-REQUESTS-XXX",
"x-ratelimit-limit-tokens": "X-RATELIMIT-LIMIT-TOKENS-XXX",
"x-ratelimit-remaining-requests": "X-RATELIMIT-REMAINING-REQUESTS-XXX",
"x-ratelimit-remaining-tokens": "X-RATELIMIT-REMAINING-TOKENS-XXX",
"x-ratelimit-reset-requests": "X-RATELIMIT-RESET-REQUESTS-XXX",
"x-ratelimit-reset-tokens": "X-RATELIMIT-RESET-TOKENS-XXX",
"x-goog-api-key": "X-GOOG-API-KEY-XXX",
"api-key": "X-API-KEY-XXX",
"User-Agent": "X-USER-AGENT-XXX",
"apim-request-id:": "X-API-CLIENT-REQUEST-ID-XXX",
"azureml-model-session": "AZUREML-MODEL-SESSION-XXX",
"x-ms-client-request-id": "X-MS-CLIENT-REQUEST-ID-XXX",
"x-ms-region": "X-MS-REGION-XXX",
"apim-request-id": "APIM-REQUEST-ID-XXX",
"x-api-key": "X-API-KEY-XXX",
"anthropic-organization-id": "ANTHROPIC-ORGANIZATION-ID-XXX",
"request-id": "REQUEST-ID-XXX",
"anthropic-ratelimit-input-tokens-limit": "ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX",
"anthropic-ratelimit-input-tokens-remaining": "ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX",
"anthropic-ratelimit-input-tokens-reset": "ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX",
"anthropic-ratelimit-output-tokens-limit": "ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX",
"anthropic-ratelimit-output-tokens-remaining": "ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX",
"anthropic-ratelimit-output-tokens-reset": "ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX",
"anthropic-ratelimit-tokens-limit": "ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX",
"anthropic-ratelimit-tokens-remaining": "ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX",
"anthropic-ratelimit-tokens-reset": "ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX",
"x-amz-date": "X-AMZ-DATE-XXX",
"amz-sdk-invocation-id": "AMZ-SDK-INVOCATION-ID-XXX",
"accept-encoding": "ACCEPT-ENCODING-XXX",
"x-amzn-requestid": "X-AMZN-REQUESTID-XXX",
"x-amzn-RequestId": "X-AMZN-REQUESTID-XXX",
"x-a2a-notification-token": "X-A2A-NOTIFICATION-TOKEN-XXX",
"x-a2a-version": "X-A2A-VERSION-XXX",
}
def _filter_request_headers(request: Request) -> Request: # type: ignore[no-any-unimported]
"""Filter sensitive headers from request before recording."""
for header_name, replacement in HEADERS_TO_FILTER.items():
for variant in [header_name, header_name.upper(), header_name.title()]:
if variant in request.headers:
request.headers[variant] = [replacement]
request.method = request.method.upper()
# Normalize Azure OpenAI endpoints to a consistent placeholder for cassette matching.
if request.host and request.host.endswith(".openai.azure.com"):
original_host = request.host
placeholder_host = "fake-azure-endpoint.openai.azure.com"
request.uri = request.uri.replace(original_host, placeholder_host)
return request
def _filter_response_headers(response: dict[str, Any]) -> dict[str, Any] | None:
"""Filter sensitive headers from response before recording.
Returns None to skip recording responses with empty bodies. This handles
duplicate recordings caused by OpenAI's stainless client using
with_raw_response which triggers httpx to re-read the consumed stream.
"""
body = response.get("body", {}).get("string", "")
headers = response.get("headers", {})
content_length = headers.get("content-length", headers.get("Content-Length", []))
if body == "" or body == b"" or content_length == ["0"]:
return None
for encoding_header in ["Content-Encoding", "content-encoding"]:
if encoding_header in headers:
encoding = headers.pop(encoding_header)
if encoding and encoding[0] == "gzip":
body = response.get("body", {}).get("string", b"")
if isinstance(body, bytes) and body.startswith(b"\x1f\x8b"):
response["body"]["string"] = gzip.decompress(body).decode("utf-8")
for header_name, replacement in HEADERS_TO_FILTER.items():
for variant in [header_name, header_name.upper(), header_name.title()]:
if variant in headers:
headers[variant] = [replacement]
return response
@pytest.fixture(scope="module")
def vcr_cassette_dir(request: Any) -> str:
"""Generate cassette directory path based on test module location.
Organizes cassettes to mirror test directory structure within each package:
lib/crewai/tests/llms/google/test_google.py -> lib/crewai/tests/cassettes/llms/google/
lib/crewai-tools/tests/tools/test_search.py -> lib/crewai-tools/tests/cassettes/tools/
"""
test_file = Path(request.fspath)
for parent in test_file.parents:
if (
parent.name in ("crewai", "crewai-tools", "crewai-files")
and parent.parent.name == "lib"
):
package_root = parent
break
else:
package_root = test_file.parent
tests_root = package_root / "tests"
test_dir = test_file.parent
if test_dir != tests_root:
relative_path = test_dir.relative_to(tests_root)
cassette_dir = tests_root / "cassettes" / relative_path
else:
cassette_dir = tests_root / "cassettes"
cassette_dir.mkdir(parents=True, exist_ok=True)
return str(cassette_dir)
@pytest.fixture(scope="module")
def vcr_config(vcr_cassette_dir: str) -> dict[str, Any]:
"""Configure VCR with organized cassette storage."""
config = {
"cassette_library_dir": vcr_cassette_dir,
"record_mode": os.getenv("PYTEST_VCR_RECORD_MODE", "once"),
"filter_headers": [(k, v) for k, v in HEADERS_TO_FILTER.items()],
"before_record_request": _filter_request_headers,
"before_record_response": _filter_response_headers,
"filter_query_parameters": ["key"],
"match_on": ["method", "scheme", "host", "port", "path"],
}
if os.getenv("GITHUB_ACTIONS") == "true":
config["record_mode"] = "none"
return config