Compare commits
1 Commits
step35/172
...
step35/126
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
e2b1a9f8ac |
@@ -75,7 +75,7 @@ class GapReport:
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return {
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"repo_path": self.repo_path,
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"total_gaps": len(self.gaps),
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"stats": {k.value: len(v) for k, v in
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"stats": {k: len(v) for k, v in
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{gt: [g for g in self.gaps if g.gap_type == gt]
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for gt in GapType}.items() if v},
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"gaps": [
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@@ -273,44 +273,3 @@ class KnowledgeGapIdentifier:
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))
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return report
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def main() -> None:
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import argparse
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import json
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import sys
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parser = argparse.ArgumentParser(
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description="Knowledge Gap Identifier — cross-reference code, docs, and tests to find gaps"
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)
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parser.add_argument(
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"repo_path",
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nargs="?",
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default=".",
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help="Path to repository root (default: current directory)"
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)
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parser.add_argument(
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"--json",
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action="store_true",
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help="Output report as JSON instead of human-readable summary"
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)
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parser.add_argument(
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"-o", "--output",
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help="Write report to file instead of stdout"
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)
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args = parser.parse_args()
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report = KnowledgeGapIdentifier().analyze(args.repo_path)
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if args.json:
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output = json.dumps(report.to_dict(), indent=2, default=str)
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else:
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output = report.summary()
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if args.output:
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with open(args.output, "w") as fh:
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print(output, file=fh)
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else:
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print(output)
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if __name__ == "__main__":
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main()
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@@ -1,351 +0,0 @@
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#!/usr/bin/env python3
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"""
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PR Complexity Scorer - Estimate review effort for PRs.
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"""
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import argparse
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import json
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import os
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import re
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import sys
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from dataclasses import dataclass, asdict
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from datetime import datetime, timezone
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from pathlib import Path
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from typing import Any, Dict, List, Optional
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import urllib.request
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import urllib.error
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GITEA_BASE = "https://forge.alexanderwhitestone.com/api/v1"
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DEPENDENCY_FILES = {
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"requirements.txt", "pyproject.toml", "setup.py", "setup.cfg",
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"Pipfile", "poetry.lock", "package.json", "yarn.lock", "Gemfile",
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"go.mod", "Cargo.toml", "pom.xml", "build.gradle"
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}
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TEST_PATTERNS = [
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r"tests?/.*\.py$", r".*_test\.py$", r"test_.*\.py$",
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r"spec/.*\.rb$", r".*_spec\.rb$",
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r"__tests__/", r".*\.test\.(js|ts|jsx|tsx)$"
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]
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WEIGHT_FILES = 0.25
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WEIGHT_LINES = 0.25
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WEIGHT_DEPS = 0.30
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WEIGHT_TEST_COV = 0.20
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SMALL_FILES = 5
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MEDIUM_FILES = 20
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LARGE_FILES = 50
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SMALL_LINES = 100
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MEDIUM_LINES = 500
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LARGE_LINES = 2000
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TIME_PER_POINT = {1: 5, 2: 10, 3: 15, 4: 20, 5: 25, 6: 30, 7: 45, 8: 60, 9: 90, 10: 120}
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@dataclass
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class PRComplexity:
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pr_number: int
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title: str
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files_changed: int
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additions: int
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deletions: int
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has_dependency_changes: bool
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test_coverage_delta: Optional[int]
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score: int
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estimated_minutes: int
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reasons: List[str]
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def to_dict(self) -> dict:
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return asdict(self)
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class GiteaClient:
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def __init__(self, token: str):
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self.token = token
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self.base_url = GITEA_BASE.rstrip("/")
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def _request(self, path: str, params: Dict = None) -> Any:
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url = f"{self.base_url}{path}"
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if params:
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qs = "&".join(f"{k}={v}" for k, v in params.items() if v is not None)
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url += f"?{qs}"
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req = urllib.request.Request(url)
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req.add_header("Authorization", f"token {self.token}")
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req.add_header("Content-Type", "application/json")
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try:
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with urllib.request.urlopen(req, timeout=30) as resp:
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return json.loads(resp.read().decode())
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except urllib.error.HTTPError as e:
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print(f"API error {e.code}: {e.read().decode()[:200]}", file=sys.stderr)
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return None
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except urllib.error.URLError as e:
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print(f"Network error: {e}", file=sys.stderr)
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return None
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def get_open_prs(self, org: str, repo: str) -> List[Dict]:
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prs = []
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page = 1
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while True:
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batch = self._request(f"/repos/{org}/{repo}/pulls", {"limit": 50, "page": page, "state": "open"})
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if not batch:
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break
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prs.extend(batch)
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if len(batch) < 50:
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break
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page += 1
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return prs
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def get_pr_files(self, org: str, repo: str, pr_number: int) -> List[Dict]:
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files = []
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page = 1
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while True:
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batch = self._request(
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f"/repos/{org}/{repo}/pulls/{pr_number}/files",
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{"limit": 100, "page": page}
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)
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if not batch:
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break
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files.extend(batch)
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if len(batch) < 100:
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break
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page += 1
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return files
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def post_comment(self, org: str, repo: str, pr_number: int, body: str) -> bool:
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data = json.dumps({"body": body}).encode("utf-8")
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req = urllib.request.Request(
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f"{self.base_url}/repos/{org}/{repo}/issues/{pr_number}/comments",
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data=data,
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method="POST",
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headers={"Authorization": f"token {self.token}", "Content-Type": "application/json"}
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)
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try:
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with urllib.request.urlopen(req, timeout=30) as resp:
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return resp.status in (200, 201)
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except urllib.error.HTTPError:
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return False
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def is_dependency_file(filename: str) -> bool:
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return any(filename.endswith(dep) for dep in DEPENDENCY_FILES)
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def is_test_file(filename: str) -> bool:
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return any(re.search(pattern, filename) for pattern in TEST_PATTERNS)
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def score_pr(
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files_changed: int,
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additions: int,
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deletions: int,
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has_dependency_changes: bool,
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test_coverage_delta: Optional[int] = None
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) -> tuple[int, int, List[str]]:
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score = 1.0
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reasons = []
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# Files changed
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if files_changed <= SMALL_FILES:
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fscore = 1.0
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reasons.append("small number of files changed")
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elif files_changed <= MEDIUM_FILES:
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fscore = 2.0
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reasons.append("moderate number of files changed")
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elif files_changed <= LARGE_FILES:
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fscore = 2.5
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reasons.append("large number of files changed")
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else:
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fscore = 3.0
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reasons.append("very large PR spanning many files")
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# Lines changed
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total_lines = additions + deletions
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if total_lines <= SMALL_LINES:
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lscore = 1.0
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reasons.append("small change size")
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elif total_lines <= MEDIUM_LINES:
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lscore = 2.0
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reasons.append("moderate change size")
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elif total_lines <= LARGE_LINES:
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lscore = 3.0
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reasons.append("large change size")
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else:
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lscore = 4.0
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reasons.append("very large change")
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# Dependency changes
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if has_dependency_changes:
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dscore = 2.5
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reasons.append("dependency changes (architectural impact)")
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else:
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dscore = 0.0
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# Test coverage delta
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tscore = 0.0
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if test_coverage_delta is not None:
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if test_coverage_delta > 0:
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reasons.append(f"test additions (+{test_coverage_delta} test files)")
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tscore = -min(2.0, test_coverage_delta / 2.0)
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elif test_coverage_delta < 0:
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reasons.append(f"test removals ({abs(test_coverage_delta)} test files)")
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tscore = min(2.0, abs(test_coverage_delta) * 0.5)
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else:
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reasons.append("test coverage change not assessed")
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# Weighted sum, scaled by 3 to use full 1-10 range
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bonus = (fscore * WEIGHT_FILES) + (lscore * WEIGHT_LINES) + (dscore * WEIGHT_DEPS) + (tscore * WEIGHT_TEST_COV)
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scaled_bonus = bonus * 3.0
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score = 1.0 + scaled_bonus
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final_score = max(1, min(10, int(round(score))))
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est_minutes = TIME_PER_POINT.get(final_score, 30)
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return final_score, est_minutes, reasons
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def analyze_pr(client: GiteaClient, org: str, repo: str, pr_data: Dict) -> PRComplexity:
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pr_num = pr_data["number"]
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title = pr_data.get("title", "")
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files = client.get_pr_files(org, repo, pr_num)
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additions = sum(f.get("additions", 0) for f in files)
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deletions = sum(f.get("deletions", 0) for f in files)
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filenames = [f.get("filename", "") for f in files]
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has_deps = any(is_dependency_file(f) for f in filenames)
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test_added = sum(1 for f in files if f.get("status") == "added" and is_test_file(f.get("filename", "")))
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test_removed = sum(1 for f in files if f.get("status") == "removed" and is_test_file(f.get("filename", "")))
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test_delta = test_added - test_removed if (test_added or test_removed) else None
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score, est_min, reasons = score_pr(
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files_changed=len(files),
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additions=additions,
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deletions=deletions,
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has_dependency_changes=has_deps,
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test_coverage_delta=test_delta
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)
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return PRComplexity(
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pr_number=pr_num,
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title=title,
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files_changed=len(files),
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additions=additions,
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deletions=deletions,
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has_dependency_changes=has_deps,
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test_coverage_delta=test_delta,
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score=score,
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estimated_minutes=est_min,
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reasons=reasons
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)
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def build_comment(complexity: PRComplexity) -> str:
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change_desc = f"{complexity.files_changed} files, +{complexity.additions}/-{complexity.deletions} lines"
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deps_note = "\n- :warning: Dependency changes detected — architectural review recommended" if complexity.has_dependency_changes else ""
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test_note = ""
|
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if complexity.test_coverage_delta is not None:
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if complexity.test_coverage_delta > 0:
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test_note = f"\n- :+1: {complexity.test_coverage_delta} test file(s) added"
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elif complexity.test_coverage_delta < 0:
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test_note = f"\n- :warning: {abs(complexity.test_coverage_delta)} test file(s) removed"
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comment = f"## 📊 PR Complexity Analysis\n\n"
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comment += f"**PR #{complexity.pr_number}: {complexity.title}**\n\n"
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comment += f"| Metric | Value |\n|--------|-------|\n"
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comment += f"| Changes | {change_desc} |\n"
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comment += f"| Complexity Score | **{complexity.score}/10** |\n"
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comment += f"| Estimated Review Time | ~{complexity.estimated_minutes} minutes |\n\n"
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comment += f"### Scoring rationale:"
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for r in complexity.reasons:
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comment += f"\n- {r}"
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if deps_note:
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comment += deps_note
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if test_note:
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comment += test_note
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comment += f"\n\n---\n"
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comment += f"*Generated by PR Complexity Scorer — [issue #135](https://forge.alexanderwhitestone.com/Timmy_Foundation/compounding-intelligence/issues/135)*"
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return comment
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|
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|
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def main():
|
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parser = argparse.ArgumentParser(description="PR Complexity Scorer")
|
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parser.add_argument("--org", default="Timmy_Foundation")
|
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parser.add_argument("--repo", default="compounding-intelligence")
|
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parser.add_argument("--token", default=os.environ.get("GITEA_TOKEN") or os.path.expanduser("~/.config/gitea/token"))
|
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parser.add_argument("--dry-run", action="store_true")
|
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parser.add_argument("--apply", action="store_true")
|
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parser.add_argument("--output", default="metrics/pr_complexity.json")
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args = parser.parse_args()
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|
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token_path = args.token
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if os.path.exists(token_path):
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with open(token_path) as f:
|
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token = f.read().strip()
|
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else:
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token = args.token
|
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|
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if not token:
|
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print("ERROR: No Gitea token provided", file=sys.stderr)
|
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sys.exit(1)
|
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|
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client = GiteaClient(token)
|
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|
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print(f"Fetching open PRs for {args.org}/{args.repo}...")
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prs = client.get_open_prs(args.org, args.repo)
|
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if not prs:
|
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print("No open PRs found.")
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sys.exit(0)
|
||||
|
||||
print(f"Found {len(prs)} open PR(s). Analyzing...")
|
||||
|
||||
results = []
|
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Path(args.output).parent.mkdir(parents=True, exist_ok=True)
|
||||
|
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for pr in prs:
|
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pr_num = pr["number"]
|
||||
title = pr.get("title", "")
|
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print(f" Analyzing PR #{pr_num}: {title[:60]}")
|
||||
|
||||
try:
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complexity = analyze_pr(client, args.org, args.repo, pr)
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results.append(complexity.to_dict())
|
||||
|
||||
comment = build_comment(complexity)
|
||||
|
||||
if args.dry_run:
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print(f" → Score: {complexity.score}/10, Est: {complexity.estimated_minutes}min [DRY-RUN]")
|
||||
elif args.apply:
|
||||
success = client.post_comment(args.org, args.repo, pr_num, comment)
|
||||
status = "[commented]" if success else "[FAILED]"
|
||||
print(f" → Score: {complexity.score}/10, Est: {complexity.estimated_minutes}min {status}")
|
||||
else:
|
||||
print(f" → Score: {complexity.score}/10, Est: {complexity.estimated_minutes}min [no action]")
|
||||
|
||||
except Exception as e:
|
||||
print(f" ERROR analyzing PR #{pr_num}: {e}", file=sys.stderr)
|
||||
|
||||
with open(args.output, "w") as f:
|
||||
json.dump({
|
||||
"org": args.org,
|
||||
"repo": args.repo,
|
||||
"timestamp": datetime.now(timezone.utc).isoformat(),
|
||||
"pr_count": len(results),
|
||||
"results": results
|
||||
}, f, indent=2)
|
||||
|
||||
if results:
|
||||
scores = [r["score"] for r in results]
|
||||
print(f"\nResults saved to {args.output}")
|
||||
print(f"Summary: {len(results)} PRs, scores range {min(scores):.0f}-{max(scores):.0f}")
|
||||
else:
|
||||
print("\nNo results to save.")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
185
scripts/review_comment_generator.py
Executable file
185
scripts/review_comment_generator.py
Executable file
@@ -0,0 +1,185 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Review Comment Generator — Issue #126
|
||||
Reads JSONL findings, deduplicates, posts as Gitea PR comments.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import hashlib
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
import urllib.request
|
||||
import urllib.error
|
||||
from datetime import datetime, timezone
|
||||
from pathlib import Path
|
||||
from typing import Dict, List, Optional
|
||||
|
||||
SCRIPT_DIR = Path(__file__).resolve().parent
|
||||
REPO_ROOT = SCRIPT_DIR.parent
|
||||
|
||||
DEFAULT_API_BASE = os.environ.get(
|
||||
"GITEA_API_BASE",
|
||||
"https://forge.alexanderwhitestone.com"
|
||||
)
|
||||
TOKEN_PATHS = [
|
||||
os.path.expanduser("~/.config/gitea/token"),
|
||||
os.path.expanduser("~/.hermes/gitea.token"),
|
||||
os.environ.get("GITEA_TOKEN", ""),
|
||||
]
|
||||
|
||||
def load_token() -> Optional[str]:
|
||||
token = os.environ.get("GITEA_TOKEN", "")
|
||||
if token:
|
||||
return token
|
||||
for path in TOKEN_PATHS:
|
||||
if path and os.path.exists(path):
|
||||
with open(path) as f:
|
||||
t = f.read().strip()
|
||||
if t:
|
||||
return t
|
||||
return None
|
||||
|
||||
class GiteaClient:
|
||||
def __init__(self, base_url: str, token: str, org: str, repo: str):
|
||||
self.base_url = base_url.rstrip("/")
|
||||
self.token = token
|
||||
self.org = org
|
||||
self.repo = repo
|
||||
|
||||
def _post(self, path: str, data: Dict) -> Optional[Dict]:
|
||||
url = f"{self.base_url}/api/v1{path}"
|
||||
body = json.dumps(data).encode("utf-8")
|
||||
req = urllib.request.Request(url, data=body, method="POST")
|
||||
req.add_header("Authorization", f"token {self.token}")
|
||||
req.add_header("Content-Type", "application/json")
|
||||
try:
|
||||
with urllib.request.urlopen(req, timeout=30) as resp:
|
||||
return json.loads(resp.read().decode())
|
||||
except urllib.error.HTTPError as e:
|
||||
err = e.read().decode() if e.read() else str(e)
|
||||
print(f"[ERROR] HTTP {e.code}: {err}", file=sys.stderr)
|
||||
return None
|
||||
except Exception as e:
|
||||
print(f"[ERROR] {e}", file=sys.stderr)
|
||||
return None
|
||||
|
||||
def post_issue_comment(self, issue_num: int, body: str) -> Optional[Dict]:
|
||||
return self._post(
|
||||
f"/repos/{self.org}/{self.repo}/issues/{issue_num}/comments",
|
||||
{"body": body}
|
||||
)
|
||||
|
||||
def content_hash(finding: Dict) -> str:
|
||||
key = f"{finding['file']}:{finding['line']}:{finding['text']}"
|
||||
return hashlib.sha256(key.encode("utf-8")).hexdigest()
|
||||
|
||||
def format_comment(finding: Dict) -> str:
|
||||
emoji = {
|
||||
"error": "🛑",
|
||||
"warning": "⚠️",
|
||||
"info": "ℹ️",
|
||||
}.get(finding.get("severity", ""), "📝")
|
||||
f = finding["file"]
|
||||
ln = finding["line"]
|
||||
txt = finding["text"]
|
||||
return f"{emoji} **Review Comment**\n\nFile: `{f}`\nLine: {ln}\n\n> {txt}\n"
|
||||
|
||||
def load_findings(path: Optional[Path], from_stdin: bool) -> List[Dict]:
|
||||
import fileinput
|
||||
findings = []
|
||||
sources = ["-"] if from_stdin else [str(path)]
|
||||
for line in fileinput.input(files=sources):
|
||||
line = line.strip()
|
||||
if not line or line.startswith("#"):
|
||||
continue
|
||||
try:
|
||||
f = json.loads(line)
|
||||
for key in ("file", "line", "text"):
|
||||
if key not in f:
|
||||
raise ValueError(f"Missing key: {key}")
|
||||
findings.append(f)
|
||||
except json.JSONDecodeError as e:
|
||||
print(f"WARNING: Skipping invalid JSON: {e}", file=sys.stderr)
|
||||
return findings
|
||||
|
||||
def main() -> int:
|
||||
parser = argparse.ArgumentParser(
|
||||
description="Post review findings as comments to a Gitea PR/issue"
|
||||
)
|
||||
parser.add_argument("--pr", type=int, required=True, help="PR/issue number")
|
||||
parser.add_argument("--org", default="Timmy_Foundation", help="Gitea org")
|
||||
parser.add_argument("--repo", default="compounding-intelligence", help="Repo name")
|
||||
parser.add_argument("--api-base", default=DEFAULT_API_BASE, help="Gitea API base")
|
||||
parser.add_argument("--token", default=None, help="API token (or env/file)")
|
||||
parser.add_argument("--input", type=Path, default=None, help="JSONL input file")
|
||||
parser.add_argument("--stdin", action="store_true", help="Read from stdin")
|
||||
parser.add_argument("--dry-run", action="store_true", help="Show without posting")
|
||||
parser.add_argument("--json", action="store_true", help="Emit JSON report")
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
if not args.stdin and args.input is None:
|
||||
print("ERROR: --input or --stdin required", file=sys.stderr)
|
||||
return 1
|
||||
if args.stdin and args.input:
|
||||
print("ERROR: --stdin and --input exclusive", file=sys.stderr)
|
||||
return 1
|
||||
|
||||
token = args.token or load_token()
|
||||
if not token:
|
||||
print("ERROR: Token not found. Set GITEA_TOKEN or ~/.config/gitea/token", file=sys.stderr)
|
||||
return 1
|
||||
|
||||
findings = load_findings(args.input, args.stdin)
|
||||
if not findings:
|
||||
print("ERROR: No findings loaded", file=sys.stderr)
|
||||
return 1
|
||||
|
||||
if not args.json: print(f"Loaded {len(findings)} finding(s)")
|
||||
|
||||
seen: Dict[str, Dict] = {}
|
||||
for f in findings:
|
||||
h = content_hash(f)
|
||||
if h not in seen:
|
||||
seen[h] = f
|
||||
|
||||
unique = list(seen.values())
|
||||
if not args.json: print(f"After dedup: {len(unique)} unique")
|
||||
|
||||
if args.json:
|
||||
report = {
|
||||
"total": len(findings),
|
||||
"unique": len(unique),
|
||||
"findings": unique,
|
||||
"generated_at": datetime.now(timezone.utc).isoformat(),
|
||||
}
|
||||
print(json.dumps(report, indent=2))
|
||||
return 0
|
||||
|
||||
if args.dry_run:
|
||||
print("\n=== DRY RUN — would post ===")
|
||||
for i, f in enumerate(unique, 1):
|
||||
print(f"\n--- Comment {i}/{len(unique)} ---")
|
||||
print(format_comment(f))
|
||||
return 0
|
||||
|
||||
client = GiteaClient(args.api_base, token, args.org, args.repo)
|
||||
posted = 0
|
||||
for f in unique:
|
||||
body = format_comment(f)
|
||||
result = client.post_issue_comment(args.pr, body)
|
||||
if result:
|
||||
print(f"✅ Posted: {f['file']}:{f['line']} (id={result.get('id')})")
|
||||
posted += 1
|
||||
else:
|
||||
print(f"❌ Failed: {f['file']}:{f['line']}")
|
||||
|
||||
print(f"\nPosted {posted}/{len(unique)} to PR #{args.pr}")
|
||||
return 0 if posted == len(unique) else 1
|
||||
|
||||
if __name__ == "__main__":
|
||||
sys.exit(main())
|
||||
|
||||
5
scripts/sample_findings.jsonl
Normal file
5
scripts/sample_findings.jsonl
Normal file
@@ -0,0 +1,5 @@
|
||||
{"file": "scripts/harvester.py", "line": 47, "text": "Consider adding type hints to improve readability", "severity": "info"}
|
||||
{"file": "scripts/dedup.py", "line": 89, "text": "Add null check before accessing fact['confidence'] to avoid KeyError", "severity": "warning"}
|
||||
{"file": "scripts/bootstrapper.py", "line": 102, "text": "This loop is O(n^2) — could be optimized with a dict lookup", "severity": "info"}
|
||||
{"file": "scripts/harvester.py", "line": 47, "text": "Consider adding type hints to improve readability", "severity": "info"}
|
||||
{"file": "scripts/harvester.py", "line": 120, "text": "File handle not closed in error path — use context manager", "severity": "error"}
|
||||
@@ -1,170 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Tests for PR Complexity Scorer — unit tests for the scoring logic.
|
||||
"""
|
||||
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent))
|
||||
|
||||
from pr_complexity_scorer import (
|
||||
score_pr,
|
||||
is_dependency_file,
|
||||
is_test_file,
|
||||
TIME_PER_POINT,
|
||||
SMALL_FILES,
|
||||
MEDIUM_FILES,
|
||||
LARGE_FILES,
|
||||
SMALL_LINES,
|
||||
MEDIUM_LINES,
|
||||
LARGE_LINES,
|
||||
)
|
||||
|
||||
PASS = 0
|
||||
FAIL = 0
|
||||
|
||||
def test(name):
|
||||
def decorator(fn):
|
||||
global PASS, FAIL
|
||||
try:
|
||||
fn()
|
||||
PASS += 1
|
||||
print(f" [PASS] {name}")
|
||||
except AssertionError as e:
|
||||
FAIL += 1
|
||||
print(f" [FAIL] {name}: {e}")
|
||||
except Exception as e:
|
||||
FAIL += 1
|
||||
print(f" [FAIL] {name}: Unexpected error: {e}")
|
||||
return decorator
|
||||
|
||||
def assert_eq(a, b, msg=""):
|
||||
if a != b:
|
||||
raise AssertionError(f"{msg} expected {b!r}, got {a!r}")
|
||||
|
||||
def assert_true(v, msg=""):
|
||||
if not v:
|
||||
raise AssertionError(msg or "Expected True")
|
||||
|
||||
def assert_false(v, msg=""):
|
||||
if v:
|
||||
raise AssertionError(msg or "Expected False")
|
||||
|
||||
|
||||
print("=== PR Complexity Scorer Tests ===\n")
|
||||
|
||||
print("-- File Classification --")
|
||||
|
||||
@test("dependency file detection — requirements.txt")
|
||||
def _():
|
||||
assert_true(is_dependency_file("requirements.txt"))
|
||||
assert_true(is_dependency_file("src/requirements.txt"))
|
||||
assert_false(is_dependency_file("requirements_test.txt"))
|
||||
|
||||
@test("dependency file detection — pyproject.toml")
|
||||
def _():
|
||||
assert_true(is_dependency_file("pyproject.toml"))
|
||||
assert_false(is_dependency_file("myproject.py"))
|
||||
|
||||
@test("test file detection — pytest style")
|
||||
def _():
|
||||
assert_true(is_test_file("tests/test_api.py"))
|
||||
assert_true(is_test_file("test_module.py"))
|
||||
assert_true(is_test_file("src/module_test.py"))
|
||||
|
||||
@test("test file detection — other frameworks")
|
||||
def _():
|
||||
assert_true(is_test_file("spec/feature_spec.rb"))
|
||||
assert_true(is_test_file("__tests__/component.test.js"))
|
||||
assert_false(is_test_file("testfixtures/helper.py"))
|
||||
|
||||
|
||||
print("\n-- Scoring Logic --")
|
||||
|
||||
@test("small PR gets low score (1-3)")
|
||||
def _():
|
||||
score, minutes, _ = score_pr(
|
||||
files_changed=3,
|
||||
additions=50,
|
||||
deletions=10,
|
||||
has_dependency_changes=False,
|
||||
test_coverage_delta=None
|
||||
)
|
||||
assert_true(1 <= score <= 3, f"Score should be low, got {score}")
|
||||
assert_true(minutes < 20)
|
||||
|
||||
@test("medium PR gets medium score (4-6)")
|
||||
def _():
|
||||
score, minutes, _ = score_pr(
|
||||
files_changed=15,
|
||||
additions=400,
|
||||
deletions=100,
|
||||
has_dependency_changes=False,
|
||||
test_coverage_delta=None
|
||||
)
|
||||
assert_true(4 <= score <= 6, f"Score should be medium, got {score}")
|
||||
assert_true(20 <= minutes <= 45)
|
||||
|
||||
@test("large PR gets high score (7-9)")
|
||||
def _():
|
||||
score, minutes, _ = score_pr(
|
||||
files_changed=60,
|
||||
additions=3000,
|
||||
deletions=1500,
|
||||
has_dependency_changes=True,
|
||||
test_coverage_delta=None
|
||||
)
|
||||
assert_true(7 <= score <= 9, f"Score should be high, got {score}")
|
||||
assert_true(minutes >= 45)
|
||||
|
||||
@test("dependency changes boost score")
|
||||
def _():
|
||||
base_score, _, _ = score_pr(
|
||||
files_changed=10, additions=200, deletions=50,
|
||||
has_dependency_changes=False, test_coverage_delta=None
|
||||
)
|
||||
dep_score, _, _ = score_pr(
|
||||
files_changed=10, additions=200, deletions=50,
|
||||
has_dependency_changes=True, test_coverage_delta=None
|
||||
)
|
||||
assert_true(dep_score > base_score, f"Deps: {base_score} -> {dep_score}")
|
||||
|
||||
@test("adding tests lowers complexity")
|
||||
def _():
|
||||
base_score, _, _ = score_pr(
|
||||
files_changed=8, additions=150, deletions=20,
|
||||
has_dependency_changes=False, test_coverage_delta=None
|
||||
)
|
||||
better_score, _, _ = score_pr(
|
||||
files_changed=8, additions=180, deletions=20,
|
||||
has_dependency_changes=False, test_coverage_delta=3
|
||||
)
|
||||
assert_true(better_score < base_score, f"Tests: {base_score} -> {better_score}")
|
||||
|
||||
@test("removing tests increases complexity")
|
||||
def _():
|
||||
base_score, _, _ = score_pr(
|
||||
files_changed=8, additions=150, deletions=20,
|
||||
has_dependency_changes=False, test_coverage_delta=None
|
||||
)
|
||||
worse_score, _, _ = score_pr(
|
||||
files_changed=8, additions=150, deletions=20,
|
||||
has_dependency_changes=False, test_coverage_delta=-2
|
||||
)
|
||||
assert_true(worse_score > base_score, f"Remove tests: {base_score} -> {worse_score}")
|
||||
|
||||
@test("score bounded 1-10")
|
||||
def _():
|
||||
for files, adds, dels in [(1, 10, 5), (100, 10000, 5000)]:
|
||||
score, _, _ = score_pr(files, adds, dels, False, None)
|
||||
assert_true(1 <= score <= 10, f"Score {score} out of range")
|
||||
|
||||
@test("estimated minutes exist for all scores")
|
||||
def _():
|
||||
for s in range(1, 11):
|
||||
assert_true(s in TIME_PER_POINT, f"Missing time for score {s}")
|
||||
|
||||
|
||||
print(f"\n=== Results: {PASS} passed, {FAIL} failed ===")
|
||||
sys.exit(0 if FAIL == 0 else 1)
|
||||
234
tests/test_review_comment_generator.py
Normal file
234
tests/test_review_comment_generator.py
Normal file
@@ -0,0 +1,234 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Smoke tests for Review Comment Generator — Issue #126
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import subprocess
|
||||
import sys
|
||||
import hashlib
|
||||
from io import StringIO
|
||||
from pathlib import Path
|
||||
|
||||
import pytest
|
||||
|
||||
REPO_ROOT = Path(__file__).resolve().parents[1]
|
||||
SCRIPTS_DIR = REPO_ROOT / "scripts"
|
||||
GENERATOR = SCRIPTS_DIR / "review_comment_generator.py"
|
||||
SAMPLE_FINDINGS = SCRIPTS_DIR / "sample_findings.jsonl"
|
||||
|
||||
|
||||
class TestGeneratorPresence:
|
||||
def test_script_exists(self):
|
||||
assert GENERATOR.exists(), f"Missing: {GENERATOR}"
|
||||
|
||||
def test_shebang_is_python(self):
|
||||
with open(GENERATOR) as f:
|
||||
first = f.readline().strip()
|
||||
assert first.startswith("#!"), "No shebang"
|
||||
assert "python" in first.lower()
|
||||
|
||||
|
||||
class TestDeduplication:
|
||||
def test_content_hash_deterministic(self):
|
||||
from hashlib import sha256
|
||||
def ch(f):
|
||||
key = f"{f['file']}:{f['line']}:{f['text']}"
|
||||
return sha256(key.encode()).hexdigest()
|
||||
finding = {"file": "a.py", "line": 1, "text": "test"}
|
||||
assert ch(finding) == ch(finding)
|
||||
|
||||
def test_duplicate_findings_are_removed(self):
|
||||
findings = [
|
||||
{"file": "a.py", "line": 1, "text": "foo", "severity": "info"},
|
||||
{"file": "a.py", "line": 1, "text": "foo", "severity": "warning"},
|
||||
{"file": "b.py", "line": 2, "text": "bar", "severity": "info"},
|
||||
]
|
||||
seen = {}
|
||||
for f in findings:
|
||||
key = f"{f['file']}:{f['line']}:{f['text']}"
|
||||
seen[key] = f
|
||||
assert len(seen) == 2
|
||||
|
||||
def test_different_findings_are_kept(self):
|
||||
findings = [
|
||||
{"file": "a.py", "line": 1, "text": "foo"},
|
||||
{"file": "a.py", "line": 2, "text": "foo"},
|
||||
{"file": "a.py", "line": 1, "text": "bar"},
|
||||
]
|
||||
seen = {}
|
||||
for f in findings:
|
||||
key = f"{f['file']}:{f['line']}:{f['text']}"
|
||||
seen[key] = f
|
||||
assert len(seen) == 3
|
||||
|
||||
|
||||
class TestCommentFormatting:
|
||||
def test_format_basic(self):
|
||||
sys.path.insert(0, str(SCRIPTS_DIR))
|
||||
from review_comment_generator import format_comment
|
||||
f = {"file": "scripts/foo.py", "line": 10, "text": "Fix this bug", "severity": "warning"}
|
||||
body = format_comment(f)
|
||||
assert "📝 **Review Comment**" not in body # warning uses ⚠️
|
||||
assert "⚠️ **Review Comment**" in body
|
||||
assert "`scripts/foo.py`" in body
|
||||
assert "Line: 10" in body
|
||||
assert "> Fix this bug" in body
|
||||
|
||||
def test_format_severity_emoji(self):
|
||||
sys.path.insert(0, str(SCRIPTS_DIR))
|
||||
from review_comment_generator import format_comment
|
||||
cases = [("error", "🛑"), ("warning", "⚠️"), ("info", "ℹ️"), ("unknown", "📝")]
|
||||
for severity, emoji in cases:
|
||||
f = {"file": "x.py", "line": 1, "text": "test", "severity": severity}
|
||||
assert emoji in format_comment(f)
|
||||
|
||||
|
||||
class TestFindingsLoader:
|
||||
def test_load_from_file(self):
|
||||
sys.path.insert(0, str(SCRIPTS_DIR))
|
||||
from review_comment_generator import load_findings
|
||||
findings = load_findings(SAMPLE_FINDINGS, from_stdin=False)
|
||||
assert len(findings) >= 4
|
||||
|
||||
def test_load_ignores_blank_and_comments(self):
|
||||
import tempfile, os
|
||||
with tempfile.NamedTemporaryFile(mode="w", suffix=".jsonl", delete=False) as tf:
|
||||
tf.write('{"file":"a.py","line":1,"text":"valid"}\n')
|
||||
tf.write('\n')
|
||||
tf.write('# this is a comment\n')
|
||||
tf.write('{"file":"b.py","line":2,"text":"also valid"}\n')
|
||||
tfname = tf.name
|
||||
try:
|
||||
sys.path.insert(0, str(SCRIPTS_DIR))
|
||||
from review_comment_generator import load_findings
|
||||
assert len(load_findings(Path(tfname), from_stdin=False)) == 2
|
||||
finally:
|
||||
os.unlink(tfname)
|
||||
|
||||
def test_invalid_json_line_skipped(self, capsys):
|
||||
import tempfile, os
|
||||
with tempfile.NamedTemporaryFile(mode="w", suffix=".jsonl", delete=False) as tf:
|
||||
tf.write('invalid json\n')
|
||||
tf.write('{"file":"ok.py","line":1,"text":"valid"}\n')
|
||||
tfname = tf.name
|
||||
try:
|
||||
sys.path.insert(0, str(SCRIPTS_DIR))
|
||||
from review_comment_generator import load_findings
|
||||
assert len(load_findings(Path(tfname), from_stdin=False)) == 1
|
||||
finally:
|
||||
os.unlink(tfname)
|
||||
|
||||
|
||||
class TestDryRunMode:
|
||||
def test_dry_run_counts_unique(self):
|
||||
result = subprocess.run(
|
||||
[sys.executable, str(GENERATOR), "--pr", "126",
|
||||
"--input", str(SAMPLE_FINDINGS), "--dry-run"],
|
||||
capture_output=True, text=True, cwd=REPO_ROOT, timeout=15
|
||||
)
|
||||
assert result.returncode == 0
|
||||
assert "DRY RUN" in result.stdout
|
||||
assert "Review Comment" in result.stdout
|
||||
|
||||
def test_dry_run_shows_all_unique(self):
|
||||
result = subprocess.run(
|
||||
[sys.executable, str(GENERATOR), "--pr", "126",
|
||||
"--input", str(SAMPLE_FINDINGS), "--dry-run"],
|
||||
capture_output=True, text=True, cwd=REPO_ROOT, timeout=15
|
||||
)
|
||||
assert result.stdout.count("--- Comment") == 4
|
||||
|
||||
|
||||
class TestJSONOutputMode:
|
||||
def test_json_flag_emits_valid_json(self):
|
||||
result = subprocess.run(
|
||||
[sys.executable, str(GENERATOR), "--pr", "126",
|
||||
"--input", str(SAMPLE_FINDINGS), "--json"],
|
||||
capture_output=True, text=True, cwd=REPO_ROOT, timeout=15
|
||||
)
|
||||
assert result.returncode == 0
|
||||
payload = json.loads(result.stdout)
|
||||
assert "total" in payload and "unique" in payload and "findings" in payload
|
||||
assert payload["total"] >= payload["unique"]
|
||||
|
||||
def test_json_findings_have_required_fields(self):
|
||||
result = subprocess.run(
|
||||
[sys.executable, str(GENERATOR), "--pr", "126",
|
||||
"--input", str(SAMPLE_FINDINGS), "--json"],
|
||||
capture_output=True, text=True, cwd=REPO_ROOT, timeout=15
|
||||
)
|
||||
payload = json.loads(result.stdout)
|
||||
for f in payload["findings"]:
|
||||
assert "file" in f and "line" in f and "text" in f
|
||||
|
||||
|
||||
class TestGiteaClient:
|
||||
def test_post_issue_comment_builds_correct_url(self):
|
||||
sys.path.insert(0, str(SCRIPTS_DIR))
|
||||
from review_comment_generator import GiteaClient
|
||||
client = GiteaClient("https://example.com", "token123", "MyOrg", "myrepo")
|
||||
assert client.org == "MyOrg" and client.repo == "myrepo"
|
||||
|
||||
def test_generate_comment_body_has_required_fields(self):
|
||||
sys.path.insert(0, str(SCRIPTS_DIR))
|
||||
from review_comment_generator import format_comment
|
||||
f = {"file": "x.py", "line": 5, "text": "Fix this", "severity": "error"}
|
||||
body = format_comment(f)
|
||||
assert "x.py" in body and "5" in body and "Fix this" in body
|
||||
|
||||
|
||||
class TestFullPipeline:
|
||||
def test_end_to_end_json_output(self):
|
||||
result = subprocess.run(
|
||||
[sys.executable, str(GENERATOR), "--pr", "126",
|
||||
"--input", str(SAMPLE_FINDINGS), "--json"],
|
||||
capture_output=True, text=True, cwd=REPO_ROOT, timeout=15
|
||||
)
|
||||
assert result.returncode == 0
|
||||
data = json.loads(result.stdout)
|
||||
assert data["total"] == 5
|
||||
assert data["unique"] == 4
|
||||
f = data["findings"][0]
|
||||
for key in ("file", "line", "text", "severity"):
|
||||
assert key in f
|
||||
|
||||
def test_token_loading_fallback(self):
|
||||
sys.path.insert(0, str(SCRIPTS_DIR))
|
||||
from review_comment_generator import load_token
|
||||
token = load_token()
|
||||
assert token is None or isinstance(token, str)
|
||||
|
||||
|
||||
class TestErrorHandling:
|
||||
def test_missing_input_shows_error(self):
|
||||
result = subprocess.run(
|
||||
[sys.executable, str(GENERATOR), "--pr", "126"],
|
||||
capture_output=True, text=True, cwd=REPO_ROOT, timeout=15
|
||||
)
|
||||
assert result.returncode != 0
|
||||
assert "--input" in result.stderr or "--stdin" in result.stderr
|
||||
|
||||
def test_invalid_json_line_skipped(self):
|
||||
import tempfile, os
|
||||
with tempfile.NamedTemporaryFile(mode="w", suffix=".jsonl", delete=False) as tf:
|
||||
tf.write('invalid json\n')
|
||||
tf.write('{"file":"ok.py","line":1,"text":"valid"}\n')
|
||||
tfname = tf.name
|
||||
try:
|
||||
result = subprocess.run(
|
||||
[sys.executable, str(GENERATOR), "--pr", "126",
|
||||
"--input", tfname, "--json"],
|
||||
capture_output=True, text=True, cwd=REPO_ROOT, timeout=15
|
||||
)
|
||||
data = json.loads(result.stdout)
|
||||
assert data["total"] == 1
|
||||
assert data["unique"] == 1
|
||||
finally:
|
||||
os.unlink(tfname)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
pytest.main([__file__, "-v"])
|
||||
Reference in New Issue
Block a user