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document_analyzer/tests/acceptance/conftest.py
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pzhang_zywl fec4c09ee0
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sync: update all skills from latest workspace code
doc_parser_skill:
- New: verify_flowchart.py (flowchart validation)
- Updated: LLM.py (multi-provider: DeepSeek + DashScope)
- Updated: image_parser.py (logic tree support, external prompts)
- Updated: SKILL.md, prompts/image_prompt.md

conflict_detection_skill:
- Updated: LLM.py (multi-provider sync)
- Updated: detect_conflicts.py (logic tree text conversion)

ir_generation_skill:
- Replaced old scripts/LLM.py + ir_generator.py with standalone project
- New: main.py, config.py, step1-3_*.py, ensemble_merge.py
- New: prompts/, tests/ subdirectories

tests:
- New: acceptance/ test suite with schema validation
- Fixed: conftest no longer globally skips non-acceptance tests
- Updated: test_sample.py for new ir_generation structure

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-30 22:45:08 +08:00

187 lines
5.9 KiB
Python

"""Pytest configuration and shared fixtures for QE acceptance tests.
Usage::
pytest tests/acceptance/ -v --run-acceptance [--acceptance-runs=3]
Environment variables:
DASHSCOPE_API_KEY — LLM API key (required for Layers B/C)
TEST_IR_PATH — path to IR JSON to validate (default: ir_final.json sample)
TEST_PARSED_PATH — path to _parsed.json or _updated.json for coverage analysis
"""
from __future__ import annotations
import json
import os
import sys
import tempfile
from pathlib import Path
from typing import Any
import pytest
# ── Path setup ──────────────────────────────────────────────────────────────
_PROJECT_ROOT = Path(__file__).resolve().parent.parent.parent
sys.path.insert(0, str(_PROJECT_ROOT))
def _skill_path(skill_name: str) -> str:
return str(_PROJECT_ROOT / "skills" / skill_name / "scripts")
# ── pytest configuration ────────────────────────────────────────────────────
def pytest_addoption(parser):
parser.addoption(
"--run-acceptance",
action="store_true",
default=False,
help="Run QE acceptance tests (requires DASHSCOPE_API_KEY)",
)
parser.addoption(
"--acceptance-runs",
type=int,
default=1,
help="Number of IR generation runs for Layer B stability testing (default: 1 = skip)",
)
parser.addoption(
"--ir-path",
type=str,
default=None,
help="Path to IR JSON file to validate",
)
parser.addoption(
"--parsed-path",
type=str,
default=None,
help="Path to _parsed.json or _updated.json for coverage analysis",
)
def pytest_configure(config):
config.addinivalue_line(
"markers",
"acceptance: QE acceptance test (requires --run-acceptance flag and DASHSCOPE_API_KEY)",
)
def pytest_collection_modifyitems(config, items):
acceptance_dir = str(_PROJECT_ROOT / "tests" / "acceptance")
acceptance_items = [i for i in items if str(i.fspath).startswith(acceptance_dir)]
non_acceptance_items = [i for i in items if not str(i.fspath).startswith(acceptance_dir)]
if not config.getoption("--run-acceptance"):
skip_msg = pytest.mark.skip(reason="Need --run-acceptance flag to run")
for item in acceptance_items:
item.add_marker(skip_msg)
# Don't skip non-acceptance tests
return
if not os.environ.get("DASHSCOPE_API_KEY"):
skip_msg = pytest.mark.skip(reason="DASHSCOPE_API_KEY not set")
for item in acceptance_items:
item.add_marker(skip_msg)
# ── Shared fixtures ─────────────────────────────────────────────────────────
@pytest.fixture(scope="session")
def project_root() -> Path:
return _PROJECT_ROOT
@pytest.fixture(scope="session")
def ir_path(request) -> str:
"""Path to the IR JSON file under test."""
path = (
request.config.getoption("--ir-path")
or os.environ.get("TEST_IR_PATH")
or str(
Path.home()
/ ".openclaw/workspace/skills/doc_parser_skill/output/ir_final.json"
)
)
if not os.path.exists(path):
pytest.skip(f"IR file not found: {path}")
return path
@pytest.fixture(scope="session")
def ir_data(ir_path: str) -> dict:
"""Load the IR JSON data."""
with open(ir_path, "r", encoding="utf-8") as f:
return json.load(f)
@pytest.fixture(scope="session")
def parsed_path(request) -> str | None:
"""Path to the corresponding _parsed.json or _updated.json."""
path = (
request.config.getoption("--parsed-path")
or os.environ.get("TEST_PARSED_PATH")
or str(
_PROJECT_ROOT
/ "skills/ir_generation_skill/车机娱乐系统禁止功能文档_精简_updated.json"
)
)
if os.path.exists(path):
return path
return None
@pytest.fixture(scope="session")
def parsed_data(parsed_path: str | None) -> dict | None:
"""Load the parsed document JSON for coverage analysis."""
if parsed_path is None:
return None
with open(parsed_path, "r", encoding="utf-8") as f:
return json.load(f)
@pytest.fixture(scope="session")
def llm_client():
"""Create an LLMClient instance for acceptance tests.
Uses the DashScope-compatible LLMClient from the project.
"""
sys.path.insert(0, _skill_path("doc_parser_skill"))
from LLM import LLMClient
return LLMClient()
@pytest.fixture(scope="session")
def acceptance_runs(request) -> int:
return request.config.getoption("--acceptance-runs", default=1)
# ── Pipeline runner ─────────────────────────────────────────────────────────
@pytest.fixture(scope="session")
def run_ir_pipeline():
"""Return a callable that runs the IR generation pipeline on a parsed JSON.
Usage::
ir_data, ir_path = run_ir_pipeline(parsed_json_path, output_dir)
"""
sys.path.insert(0, _skill_path("ir_generation_skill"))
from ir_generator import generate_ir
def _run(parsed_path: str, output_dir: str | None = None) -> tuple[dict, str]:
"""Run IR generation and return (ir_data, ir_path)."""
out = output_dir or tempfile.mkdtemp(prefix="qe_acceptance_")
result = generate_ir(parsed_path, out, dry_run=False)
ir_list = result.get("ir", [])
ir_path = result.get("path", "")
# ir_generator produces a list; wrap to match rich format expectations
# for schema validation we accept both formats
return ir_list, ir_path
return _run