Files
my-daily/ai-daily-main/tests/pytest/test_sections_github_section.py

146 lines
4.5 KiB
Python

"""测试 GitHub 板块编排:抓取 → history 过滤 → enrich → LLM 总结"""
import sys
from pathlib import Path
from unittest.mock import patch, AsyncMock
import pytest
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
from src.sections.github.section import run_github_section
# Stub summarize_github_trending until Task 11 provides it
import src.llm as _llm
if not hasattr(_llm, "summarize_github_trending"):
async def _stub(*a, **k):
return "", None
_llm.summarize_github_trending = _stub
def _cfg(history_file: str, max_deep_dive: int = 10) -> dict:
return {
"filter": {"keep_days": 7},
"sections": {
"github_trending": {
"enabled": True,
"max_items": 3,
"max_deep_dive": max_deep_dive,
"readme_max_chars": 3000,
"history_file": history_file,
"request_timeout": 10,
"tokenName": "GITHUB_TOKEN",
}
},
"llm": {
"model": "x",
"baseUrl": "http://x",
"apiKeyName": "DEEPSEEK_API_KEY",
"prompts": {"section_github": "prompts/section_github.md"},
},
}
@pytest.mark.asyncio
async def test_disabled_returns_empty(tmp_path):
cfg = _cfg(str(tmp_path / "h.json"))
cfg["sections"]["github_trending"]["enabled"] = False
md, err = await run_github_section(cfg, now=None)
assert md == ""
assert err is None
@pytest.mark.asyncio
async def test_no_candidates_after_history_returns_empty(tmp_path):
history_path = tmp_path / "h.json"
# 预置 history,使得今日 scrape 出来的 repo 都已存在
history_path.write_text(
'{"repos": {"https://github.com/a/b": "2026-05-16"}, "updated_at": "x"}',
encoding="utf-8",
)
cfg = _cfg(str(history_path))
with patch(
"src.sections.github.section.fetch_trending_page", new=AsyncMock(return_value="<html>")
), patch(
"src.sections.github.section.parse_trending_html",
return_value=[{"url": "https://github.com/a/b", "full_name": "a/b"}],
):
md, err = await run_github_section(cfg, now=None)
assert md == ""
assert err is None
@pytest.mark.asyncio
async def test_happy_path_enriches_and_summarizes(tmp_path):
history_path = tmp_path / "h.json"
cfg = _cfg(str(history_path), max_deep_dive=10)
repos = [
{
"url": "https://github.com/o1/r1",
"full_name": "o1/r1",
"description": "d1",
"language": "Python",
"stars_today": 100,
"stars_total": 1000,
}
]
enriched = [{**repos[0], "topics": ["llm"], "license": "MIT", "pushed_at": "p", "readme_excerpt": "rm"}]
with patch(
"src.sections.github.section.fetch_trending_page", new=AsyncMock(return_value="<html>")
), patch(
"src.sections.github.section.parse_trending_html", return_value=repos
), patch(
"src.sections.github.section.enrich_repos",
new=AsyncMock(return_value=(enriched, [])),
), patch(
"src.llm.summarize_github_trending",
new=AsyncMock(return_value=("## GH section md", None)),
):
md, err = await run_github_section(cfg, now=None)
assert md == "## GH section md"
assert err is None
import json as _j
saved = _j.loads(history_path.read_text(encoding="utf-8"))
assert "https://github.com/o1/r1" in saved["repos"]
@pytest.mark.asyncio
async def test_truncates_candidates_to_max_deep_dive(tmp_path):
cfg = _cfg(str(tmp_path / "h.json"), max_deep_dive=2)
repos = [
{"url": f"https://github.com/o/r{i}", "full_name": f"o/r{i}"} for i in range(5)
]
captured = {}
async def fake_enrich(candidates, **kwargs):
captured["count"] = len(candidates)
return [], []
with patch(
"src.sections.github.section.fetch_trending_page", new=AsyncMock(return_value="<html>")
), patch(
"src.sections.github.section.parse_trending_html", return_value=repos
), patch(
"src.sections.github.section.enrich_repos", new=AsyncMock(side_effect=fake_enrich)
):
await run_github_section(cfg, now=None)
assert captured["count"] == 2
@pytest.mark.asyncio
async def test_scrape_failure_returns_error(tmp_path):
cfg = _cfg(str(tmp_path / "h.json"))
with patch(
"src.sections.github.section.fetch_trending_page",
new=AsyncMock(side_effect=RuntimeError("HTTP 500")),
):
md, err = await run_github_section(cfg, now=None)
assert md == ""
assert "HTTP 500" in err