feat(research): 新增科研辅助开发模板 examples/research(起步资源包缺失项)

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
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maidamaliziasimnw 2026-07-10 16:17:40 +00:00
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# 科研辅助开发模板examples/research
对应起步资源包「科研辅助开发模板」:科研场景脚本、分析工具、报告生成模板三件套。
开箱即用(自带一个可运行的示例场景),也可按占位符改造成你自己的科研辅助工具(子赛题四)。
## 内容
| 文件 | 作用 |
|------|------|
| `scripts/research_tool_template.py` | 科研场景脚本模板采集gitlink-cli自动翻页→ 指标计算(确定性纯函数)→ 报告渲染 三段式骨架,纯标准库 |
| `report-template.md` | 报告生成模板:`{placeholder}` 占位符由脚本填充,评审可复核的四元组结构(结论/指标/证据/复现命令) |
| `tests/test_metrics.py` | 指标纯函数单测样例(不访问网络) |
## 快速运行(自带示例:仓库科研活跃度快照)
```bash
gitlink-cli auth login
python3 scripts/research_tool_template.py \
--owner <owner> --repo <repo> --output report.md
```
产出 `report.md`:开放/关闭 issue 数、open PR 数、分支数、近 30 天活跃判定,以及每项指标的复现命令。
## 改造为你自己的科研工具3 步)
1. **采集**:改 `collect()`——用 `gitlink-cli <命令> --format json` 拉你需要的数据(数据多时记得翻页合并)
2. **指标**:改 `compute_metrics()`——保持**纯函数 + 确定性**(同输入同输出),这样单测和评审复核才可行
3. **报告**:改 `report-template.md` 的占位符——保留「复现命令」一节,科研结论必须可复现
## 设计约定(子赛题四评审要点)
- **可复现**:报告内嵌每项指标的采集命令,任何人可独立复核
- **确定性**:指标计算与阈值判定为纯函数,禁止依赖随机/时序副作用(时间基准由 `--now` 注入,便于测试)
- **零依赖**:纯 Python 标准库,无需装包即可在评审机运行
- 参考实现:更完整的科研复现性审计见 [`skills/gitlink-repro-audit`](../../skills/gitlink-repro-audit/)(若已收录)

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# 科研仓库活跃度快照:{owner}/{repo}
> 生成时间UTC{generated_at} 工具examples/research 科研辅助模板
## 结论
{conclusion}
## 指标
| 指标 | 值 |
|------|-----|
| 开放 issue | {open_issues} |
| 已关闭 issue | {closed_issues} |
| issue 关闭率 | {close_rate} |
| 开放 PR | {open_prs} |
| 分支数 | {branches} |
| 近 {active_days} 天内有 issue 更新 | {recently_active} |
## 证据与复现命令
任何人可用以下命令独立复核上表数据:
```bash
gitlink-cli issue +list --owner {owner} --repo {repo} --state open --format json
gitlink-cli issue +list --owner {owner} --repo {repo} --state closed --format json
gitlink-cli pr +list --owner {owner} --repo {repo} --format json
gitlink-cli branch +list --owner {owner} --repo {repo} --format json
```
## 方法说明
- 指标计算为确定性纯函数(同输入同输出),实现见 `scripts/research_tool_template.py``compute_metrics()`
- 活跃判定阈值:最近 {active_days} 天内存在 issue 更新

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#!/usr/bin/env python3
"""科研辅助工具模板:采集 → 指标 → 报告 三段式骨架纯标准库Python >= 3.9)。
自带可运行示例仓库科研活跃度快照
改造为自己的工具时只需替换 collect() / compute_metrics() / 报告模板三处
"""
from __future__ import annotations
import argparse
import json
import subprocess
import sys
from datetime import datetime, timedelta
from pathlib import Path
CLI = "gitlink-cli"
DATE_FMT = "%Y-%m-%d %H:%M"
TEMPLATE = Path(__file__).resolve().parent.parent / "report-template.md"
def run_cli(args: list[str]) -> dict:
out = subprocess.run([CLI, *args, "--format", "json"], capture_output=True, text=True)
if out.returncode != 0:
raise RuntimeError(f"{CLI} {' '.join(args)} failed: {out.stderr.strip() or out.stdout.strip()}")
payload = json.loads(out.stdout)
if not payload.get("ok", False):
raise RuntimeError(f"{CLI} {' '.join(args)} returned error")
return payload.get("data") or {}
# ---------- 1. 采集(按需替换) ----------
def collect(owner: str, repo: str) -> dict:
open_issues = run_cli(["issue", "+list", "--owner", owner, "--repo", repo, "--state", "open", "--limit", "50"])
prs = run_cli(["pr", "+list", "--owner", owner, "--repo", repo, "--limit", "1"])
branches = run_cli(["branch", "+list", "--owner", owner, "--repo", repo])
return {"open_issues": open_issues, "prs": prs, "branches": branches}
# ---------- 2. 指标(确定性纯函数,单测覆盖) ----------
def compute_metrics(raw: dict, now: datetime, active_days: int) -> dict:
issues_data = raw["open_issues"]
open_count = issues_data.get("open_count") or len(issues_data.get("issues") or [])
closed_count = issues_data.get("closed_count") or 0
total = open_count + closed_count
close_rate = f"{closed_count / total:.0%}" if total else "n/a"
recently_active = False
for issue in issues_data.get("issues") or []:
raw_date = issue.get("updated_at") or issue.get("created_at") or ""
try:
if now - datetime.strptime(raw_date, DATE_FMT) <= timedelta(days=active_days):
recently_active = True
break
except ValueError:
continue
prs = raw["prs"]
branches = raw["branches"]
branch_list = branches if isinstance(branches, list) else branches.get("branches") or []
return {
"open_issues": open_count,
"closed_issues": closed_count,
"close_rate": close_rate,
"open_prs": prs.get("open_count") or prs.get("total_count") or 0,
"branches": len(branch_list),
"recently_active": "" if recently_active else "",
}
def conclude(metrics: dict, active_days: int) -> str:
if metrics["recently_active"] == "":
return f"仓库处于活跃维护状态(近 {active_days} 天内有 issue 更新),适合作为科研协作/复现对象。"
return f"仓库近 {active_days} 天无 issue 更新,科研复用前建议先与维护者确认项目状态。"
# ---------- 3. 报告渲染 ----------
def render(owner: str, repo: str, metrics: dict, now: datetime, active_days: int) -> str:
return TEMPLATE.read_text(encoding="utf-8").format(
owner=owner,
repo=repo,
generated_at=now.strftime("%Y-%m-%d %H:%M"),
conclusion=conclude(metrics, active_days),
active_days=active_days,
**metrics,
)
def main() -> int:
ap = argparse.ArgumentParser(description="科研仓库活跃度快照(科研辅助模板示例)")
ap.add_argument("--owner", required=True)
ap.add_argument("--repo", required=True)
ap.add_argument("--active-days", type=int, default=30)
ap.add_argument("--now", help="时间基准 YYYY-MM-DD默认当前 UTC注入固定值可复现")
ap.add_argument("--output", default="report.md")
args = ap.parse_args()
now = datetime.strptime(args.now, "%Y-%m-%d") if args.now else datetime.utcnow()
raw = collect(args.owner, args.repo)
metrics = compute_metrics(raw, now, args.active_days)
Path(args.output).write_text(render(args.owner, args.repo, metrics, now, args.active_days), encoding="utf-8")
print(f"report -> {args.output}")
return 0
if __name__ == "__main__":
sys.exit(main())

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import sys
import unittest
from datetime import datetime
from pathlib import Path
sys.path.insert(0, str(Path(__file__).resolve().parent.parent / "scripts"))
from research_tool_template import compute_metrics, conclude
NOW = datetime(2026, 7, 10)
def raw(issues=None, open_count=0, closed_count=0, prs=None, branches=None):
return {
"open_issues": {"issues": issues or [], "open_count": open_count, "closed_count": closed_count},
"prs": prs or {},
"branches": branches if branches is not None else [],
}
class TestComputeMetrics(unittest.TestCase):
def test_close_rate(self):
m = compute_metrics(raw(open_count=2, closed_count=8), NOW, 30)
self.assertEqual(m["close_rate"], "80%")
def test_close_rate_empty(self):
m = compute_metrics(raw(), NOW, 30)
self.assertEqual(m["close_rate"], "n/a")
def test_recently_active(self):
m = compute_metrics(raw(issues=[{"updated_at": "2026-07-01 10:00"}], open_count=1), NOW, 30)
self.assertEqual(m["recently_active"], "")
def test_not_recently_active(self):
m = compute_metrics(raw(issues=[{"updated_at": "2026-01-01 10:00"}], open_count=1), NOW, 30)
self.assertEqual(m["recently_active"], "")
def test_bad_date_ignored(self):
m = compute_metrics(raw(issues=[{"updated_at": "n/a"}], open_count=1), NOW, 30)
self.assertEqual(m["recently_active"], "")
def test_branches_wrapped_shape(self):
m = compute_metrics(raw(branches={"branches": [1, 2, 3]}), NOW, 30)
self.assertEqual(m["branches"], 3)
def test_deterministic(self):
r = raw(issues=[{"updated_at": "2026-07-01 10:00"}], open_count=3, closed_count=7)
self.assertEqual(compute_metrics(r, NOW, 30), compute_metrics(r, NOW, 30))
class TestConclude(unittest.TestCase):
def test_active(self):
self.assertIn("活跃维护", conclude({"recently_active": ""}, 30))
def test_inactive(self):
self.assertIn("建议先与维护者确认", conclude({"recently_active": ""}, 30))
if __name__ == "__main__":
unittest.main()