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1 Commits
step35/104
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step35/96-
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
365ab66e88 |
@@ -1,176 +0,0 @@
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#!/usr/bin/env python3
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"""
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Doc Freshness Checker — Issue #104
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Compare docs to code. Flag docs that reference removed functions or outdated APIs.
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Usage:
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python3 scripts/doc_freshness.py [--root .] [--docs-dir .] [--json]
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Outputs:
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Human-readable report by default listing missing references.
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JSON output with --json for machine consumption.
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"""
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import argparse
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import ast
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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 datetime import datetime, timezone
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from pathlib import Path
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from typing import Set, List, Tuple, Dict, Any
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def collect_python_symbols(repo_root: str) -> Set[str]:
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"""Collect all top-level function and class names from Python files."""
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symbols: Set[str] = set()
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for root, dirs, files in os.walk(repo_root):
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# Skip irrelevant dirs
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dirs[:] = [d for d in dirs if d not in ['.git', '__pycache__', '.venv', 'venv', 'node_modules']]
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for fname in files:
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if fname.endswith('.py'):
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path = os.path.join(root, fname)
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try:
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with open(path, 'r', encoding='utf-8') as f:
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tree = ast.parse(f.read())
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for node in ast.walk(tree):
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if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef, ast.ClassDef)):
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symbols.add(node.name)
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except Exception:
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# Skip unparsable files
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pass
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return symbols
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def extract_doc_references(docs_dir: str) -> List[Tuple[str, str, int]]:
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"""
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Walk markdown files and extract function/class references.
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Only considers backticked content that is clearly a function call (ending
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with ()) or a PascalCase class name. This filters out filenames, paths,
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URLs, JSON fields, and other non-API references.
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"""
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refs: List[Tuple[str, str, int]] = []
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backtick_pat = re.compile(r'`([^`]+)`')
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func_pat = re.compile(r'^[a-zA-Z_][a-zA-Z0-9_]*$')
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class_pat = re.compile(r'^[A-Z][a-zA-Z0-9_]*$')
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for root, dirs, files in os.walk(docs_dir):
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dirs[:] = [d for d in dirs if d != '.git']
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for fname in files:
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if not fname.endswith('.md'):
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continue
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path = os.path.join(root, fname)
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rel_path = os.path.relpath(path, docs_dir)
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try:
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with open(path, 'r', encoding='utf-8') as fh:
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for lineno, line in enumerate(fh, 1):
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for m in backtick_pat.finditer(line):
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raw = m.group(1).strip()
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# Function call: ends with ()
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if raw.endswith('()'):
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name = raw[:-2].strip()
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if func_pat.fullmatch(name):
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refs.append((name, rel_path, lineno))
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continue
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# Class reference: PascalCase
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if class_pat.fullmatch(raw):
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refs.append((raw, rel_path, lineno))
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except Exception:
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pass
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return refs
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def check_doc_freshness(repo_root: str, docs_dir: str) -> Dict[str, Any]:
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"""Run the full check and return structured results."""
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symbols = collect_python_symbols(repo_root)
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refs = extract_doc_references(docs_dir)
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missing: List[Dict[str, Any]] = []
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found: List[Dict[str, Any]] = []
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for ref, file, lineno in refs:
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if ref in symbols:
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found.append({"reference": ref, "file": file, "line": lineno})
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else:
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missing.append({"reference": ref, "file": file, "line": lineno})
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# Deduplicate missing by (reference, file)
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missing_keys = set()
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for item in missing:
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missing_keys.add((item["reference"], item["file"]))
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total_unique_refs = len({(r, f) for r, f, _ in refs})
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return {
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"timestamp": "..", # filled by main
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"repo_root": repo_root,
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"docs_dir": docs_dir,
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"total_unique_references": total_unique_refs,
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"defined_symbols": len(symbols),
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"missing": missing,
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"found": found,
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"missing_count": len(missing_keys),
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"found_count": total_unique_refs - len(missing_keys),
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}
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def format_report(result: Dict[str, Any]) -> str:
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"""Format check results as a human-readable report."""
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lines = [
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"Doc Freshness Report",
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"=" * 50,
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f"Repo: {result['repo_root']}",
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f"Docs: {result['docs_dir']}",
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f"Defined Python symbols: {result['defined_symbols']}",
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f"References found: {result['total_unique_references']}",
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f"Stale references: {result['missing_count']}",
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"",
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]
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if result["missing"]:
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lines.append("Stale references:")
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by_file: Dict[str, List] = {}
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for item in result["missing"]:
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by_file.setdefault(item["file"], []).append(item)
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for fname in sorted(by_file):
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lines.append(f"\n {fname}:")
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for item in by_file[fname]:
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lines.append(f" line {item['line']}: {item['reference']}")
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else:
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lines.append("All references are current.")
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lines.append("")
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lines.append("Note: Only backticked function calls () and PascalCase class names are checked.")
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return "\n".join(lines)
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def main() -> None:
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parser = argparse.ArgumentParser(
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description="Doc Freshness Checker — compare docs to code")
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parser.add_argument("--root", default=".", help="Repository root (code location)")
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parser.add_argument("--docs-dir", default=None,
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help="Docs directory (default: same as --root)")
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parser.add_argument("--json", action="store_true", help="Machine-readable output")
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args = parser.parse_args()
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docs_dir = args.docs_dir or args.root
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result = check_doc_freshness(args.root, docs_dir)
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result["timestamp"] = datetime.now(timezone.utc).isoformat()
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if args.json:
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print(json.dumps(result, indent=2))
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else:
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print(format_report(result))
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# Exit non-zero if stale references found
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sys.exit(1 if result["missing_count"] > 0 else 0)
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if __name__ == "__main__":
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main()
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203
scripts/docstring_generator.py
Normal file
203
scripts/docstring_generator.py
Normal file
@@ -0,0 +1,203 @@
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#!/usr/bin/env python3
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"""
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Docstring Generator — find and add missing docstrings.
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Scans Python files for functions/async functions lacking docstrings.
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Generates Google-style docstrings from function signature and body.
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Inserts them in place.
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Usage:
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python3 docstring_generator.py scripts/ # Fix in place
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python3 docstring_generator.py --dry-run scripts/ # Preview changes
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python3 docstring_generator.py --json scripts/ # Machine-readable output
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python3 docstring_generator.py path/to/file.py
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"""
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import argparse
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import ast
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import json
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import os
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import sys
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from pathlib import Path
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from typing import Optional, Tuple, List
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# --- Helper: turn snake_case into Title Case phrase ---
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def name_to_title(name: str) -> str:
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"""Convert snake_case function name to a Title Case description."""
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words = name.replace('_', ' ').split()
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if not words:
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return ''
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titled = []
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for w in words:
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if len(w) <= 2:
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titled.append(w.upper())
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else:
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titled.append(w[0].upper() + w[1:])
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return ' '.join(titled)
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# --- Helper: extract first meaningful statement from body for summary ---
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def extract_body_hint(body: list[ast.stmt]) -> Optional[str]:
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"""Look for an assignment or return that hints at function purpose."""
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for stmt in body:
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if isinstance(stmt, ast.Expr) and isinstance(stmt.value, ast.Constant):
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continue # skip existing docstring placeholder
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# Assignment to a result-like variable?
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if isinstance(stmt, ast.Assign):
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for target in stmt.targets:
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if isinstance(target, ast.Name):
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var_name = target.id
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if var_name in ('result', 'msg', 'output', 'retval', 'value', 'response', 'data'):
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val = ast.unparse(stmt.value).strip()
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if val:
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return f"Compute or return {val}"
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# Return statement
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if isinstance(stmt, ast.Return) and stmt.value:
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ret = ast.unparse(stmt.value).strip()
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if ret:
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return f"Return {ret}"
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break
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return None
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# --- Generate a docstring string for a function ---
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def generate_docstring(func_node: ast.FunctionDef | ast.AsyncFunctionDef) -> str:
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"""Build a Google-style docstring for the given function node."""
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parts: list[str] = []
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# Summary line
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summary = name_to_title(func_node.name)
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body_hint = extract_body_hint(func_node.body)
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if body_hint:
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summary = f"{summary}. {body_hint}"
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parts.append(summary)
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# Args section if there are parameters (excluding self/cls)
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args = func_node.args.args
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if args:
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arg_lines = []
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for arg in args:
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if arg.arg in ('self', 'cls'):
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continue
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type_ann = ast.unparse(arg.annotation) if arg.annotation else 'Any'
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arg_lines.append(f"{arg.arg} ({type_ann}): Parameter {arg.arg}")
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if arg_lines:
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parts.append("\nArgs:\n " + "\n ".join(arg_lines))
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# Returns section
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if func_node.returns:
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ret_type = ast.unparse(func_node.returns)
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parts.append(f"\nReturns:\n {ret_type}: Return value")
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elif any(isinstance(s, ast.Return) and s.value is not None for s in ast.walk(func_node)):
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parts.append("\nReturns:\n Return value")
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return '"""' + '\n'.join(parts) + '\n"""'
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# --- Transform source AST ---
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def process_source(source: str, filename: str) -> Tuple[str, List[str]]:
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"""Add docstrings to all undocumented functions. Returns (new_source, [func_names])."""
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try:
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tree = ast.parse(source)
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except SyntaxError as e:
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print(f" WARNING: Could not parse {filename}: {e}", file=sys.stderr)
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return source, []
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class DocstringInserter(ast.NodeTransformer):
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def __init__(self):
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self.modified_funcs: list[str] = []
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def visit_FunctionDef(self, node: ast.FunctionDef) -> ast.FunctionDef:
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return self._process(node)
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def visit_AsyncFunctionDef(self, node: ast.AsyncFunctionDef) -> ast.AsyncFunctionDef:
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return self._process(node)
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def _process(self, node):
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existing_doc = ast.get_docstring(node)
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if existing_doc is not None:
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return node
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docstring_text = generate_docstring(node)
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doc_node = ast.Expr(value=ast.Constant(value=docstring_text))
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node.body.insert(0, doc_node)
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ast.fix_missing_locations(node)
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self.modified_funcs.append(node.name)
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return node
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inserter = DocstringInserter()
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new_tree = inserter.visit(tree)
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if inserter.modified_funcs:
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return ast.unparse(new_tree), inserter.modified_funcs
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return source, []
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|
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# --- File discovery ---
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def iter_python_files(paths: list[str]) -> list[Path]:
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"""Collect all .py files from provided paths."""
|
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files: set[Path] = set()
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for p in paths:
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path = Path(p)
|
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if not path.exists():
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print(f"WARNING: Path not found: {p}", file=sys.stderr)
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continue
|
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if path.is_file() and path.suffix == '.py':
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files.add(path.resolve())
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elif path.is_dir():
|
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for child in path.rglob('*.py'):
|
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if '.git' in child.parts or '__pycache__' in child.parts:
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continue
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files.add(child.resolve())
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return sorted(files)
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|
||||
|
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def main():
|
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parser = argparse.ArgumentParser(description="Generate docstrings for functions missing them")
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parser.add_argument('paths', nargs='+', help='Python files or directories to process')
|
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parser.add_argument('--dry-run', action='store_true', help='Show what would change without writing')
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parser.add_argument('--json', action='store_true', help='Output machine-readable JSON summary')
|
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parser.add_argument('-v', '--verbose', action='store_true', help='Print each file processed')
|
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|
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args = parser.parse_args()
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|
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files = iter_python_files(args.paths)
|
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if not files:
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print("No Python files found to process", file=sys.stderr)
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sys.exit(1)
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|
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results = []
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total_funcs = 0
|
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|
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for pyfile in files:
|
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try:
|
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original = pyfile.read_text(encoding='utf-8')
|
||||
except Exception as e:
|
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print(f" ERROR reading {pyfile}: {e}", file=sys.stderr)
|
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continue
|
||||
|
||||
new_source, modified_funcs = process_source(original, str(pyfile))
|
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|
||||
if modified_funcs:
|
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total_funcs += len(modified_funcs)
|
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rel = os.path.relpath(pyfile)
|
||||
if args.verbose:
|
||||
print(f" {rel}: +{len(modified_funcs)} docstrings")
|
||||
results.append({'file': str(pyfile), 'functions': modified_funcs})
|
||||
if not args.dry_run:
|
||||
pyfile.write_text(new_source, encoding='utf-8')
|
||||
elif args.verbose:
|
||||
print(f" {rel}: no changes")
|
||||
|
||||
if args.json:
|
||||
summary = {'total_files_modified': len(results), 'total_functions': total_funcs, 'files': results}
|
||||
print(json.dumps(summary, indent=2))
|
||||
else:
|
||||
print(f"Generated docstrings for {total_funcs} functions across {len(results)} files")
|
||||
if args.dry_run:
|
||||
print(" (dry run — no files written)")
|
||||
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
sys.exit(main())
|
||||
@@ -1,351 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
PR Complexity Scorer - Estimate review effort for PRs.
|
||||
"""
|
||||
|
||||
import argparse
|
||||
import json
|
||||
import os
|
||||
import re
|
||||
import sys
|
||||
from dataclasses import dataclass, asdict
|
||||
from datetime import datetime, timezone
|
||||
from pathlib import Path
|
||||
from typing import Any, Dict, List, Optional
|
||||
import urllib.request
|
||||
import urllib.error
|
||||
|
||||
GITEA_BASE = "https://forge.alexanderwhitestone.com/api/v1"
|
||||
|
||||
DEPENDENCY_FILES = {
|
||||
"requirements.txt", "pyproject.toml", "setup.py", "setup.cfg",
|
||||
"Pipfile", "poetry.lock", "package.json", "yarn.lock", "Gemfile",
|
||||
"go.mod", "Cargo.toml", "pom.xml", "build.gradle"
|
||||
}
|
||||
|
||||
TEST_PATTERNS = [
|
||||
r"tests?/.*\.py$", r".*_test\.py$", r"test_.*\.py$",
|
||||
r"spec/.*\.rb$", r".*_spec\.rb$",
|
||||
r"__tests__/", r".*\.test\.(js|ts|jsx|tsx)$"
|
||||
]
|
||||
|
||||
WEIGHT_FILES = 0.25
|
||||
WEIGHT_LINES = 0.25
|
||||
WEIGHT_DEPS = 0.30
|
||||
WEIGHT_TEST_COV = 0.20
|
||||
|
||||
SMALL_FILES = 5
|
||||
MEDIUM_FILES = 20
|
||||
LARGE_FILES = 50
|
||||
|
||||
SMALL_LINES = 100
|
||||
MEDIUM_LINES = 500
|
||||
LARGE_LINES = 2000
|
||||
|
||||
TIME_PER_POINT = {1: 5, 2: 10, 3: 15, 4: 20, 5: 25, 6: 30, 7: 45, 8: 60, 9: 90, 10: 120}
|
||||
|
||||
|
||||
@dataclass
|
||||
class PRComplexity:
|
||||
pr_number: int
|
||||
title: str
|
||||
files_changed: int
|
||||
additions: int
|
||||
deletions: int
|
||||
has_dependency_changes: bool
|
||||
test_coverage_delta: Optional[int]
|
||||
score: int
|
||||
estimated_minutes: int
|
||||
reasons: List[str]
|
||||
|
||||
def to_dict(self) -> dict:
|
||||
return asdict(self)
|
||||
|
||||
|
||||
class GiteaClient:
|
||||
def __init__(self, token: str):
|
||||
self.token = token
|
||||
self.base_url = GITEA_BASE.rstrip("/")
|
||||
|
||||
def _request(self, path: str, params: Dict = None) -> Any:
|
||||
url = f"{self.base_url}{path}"
|
||||
if params:
|
||||
qs = "&".join(f"{k}={v}" for k, v in params.items() if v is not None)
|
||||
url += f"?{qs}"
|
||||
|
||||
req = urllib.request.Request(url)
|
||||
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:
|
||||
print(f"API error {e.code}: {e.read().decode()[:200]}", file=sys.stderr)
|
||||
return None
|
||||
except urllib.error.URLError as e:
|
||||
print(f"Network error: {e}", file=sys.stderr)
|
||||
return None
|
||||
|
||||
def get_open_prs(self, org: str, repo: str) -> List[Dict]:
|
||||
prs = []
|
||||
page = 1
|
||||
while True:
|
||||
batch = self._request(f"/repos/{org}/{repo}/pulls", {"limit": 50, "page": page, "state": "open"})
|
||||
if not batch:
|
||||
break
|
||||
prs.extend(batch)
|
||||
if len(batch) < 50:
|
||||
break
|
||||
page += 1
|
||||
return prs
|
||||
|
||||
def get_pr_files(self, org: str, repo: str, pr_number: int) -> List[Dict]:
|
||||
files = []
|
||||
page = 1
|
||||
while True:
|
||||
batch = self._request(
|
||||
f"/repos/{org}/{repo}/pulls/{pr_number}/files",
|
||||
{"limit": 100, "page": page}
|
||||
)
|
||||
if not batch:
|
||||
break
|
||||
files.extend(batch)
|
||||
if len(batch) < 100:
|
||||
break
|
||||
page += 1
|
||||
return files
|
||||
|
||||
def post_comment(self, org: str, repo: str, pr_number: int, body: str) -> bool:
|
||||
data = json.dumps({"body": body}).encode("utf-8")
|
||||
req = urllib.request.Request(
|
||||
f"{self.base_url}/repos/{org}/{repo}/issues/{pr_number}/comments",
|
||||
data=data,
|
||||
method="POST",
|
||||
headers={"Authorization": f"token {self.token}", "Content-Type": "application/json"}
|
||||
)
|
||||
try:
|
||||
with urllib.request.urlopen(req, timeout=30) as resp:
|
||||
return resp.status in (200, 201)
|
||||
except urllib.error.HTTPError:
|
||||
return False
|
||||
|
||||
|
||||
def is_dependency_file(filename: str) -> bool:
|
||||
return any(filename.endswith(dep) for dep in DEPENDENCY_FILES)
|
||||
|
||||
|
||||
def is_test_file(filename: str) -> bool:
|
||||
return any(re.search(pattern, filename) for pattern in TEST_PATTERNS)
|
||||
|
||||
|
||||
def score_pr(
|
||||
files_changed: int,
|
||||
additions: int,
|
||||
deletions: int,
|
||||
has_dependency_changes: bool,
|
||||
test_coverage_delta: Optional[int] = None
|
||||
) -> tuple[int, int, List[str]]:
|
||||
score = 1.0
|
||||
reasons = []
|
||||
|
||||
# Files changed
|
||||
if files_changed <= SMALL_FILES:
|
||||
fscore = 1.0
|
||||
reasons.append("small number of files changed")
|
||||
elif files_changed <= MEDIUM_FILES:
|
||||
fscore = 2.0
|
||||
reasons.append("moderate number of files changed")
|
||||
elif files_changed <= LARGE_FILES:
|
||||
fscore = 2.5
|
||||
reasons.append("large number of files changed")
|
||||
else:
|
||||
fscore = 3.0
|
||||
reasons.append("very large PR spanning many files")
|
||||
|
||||
# Lines changed
|
||||
total_lines = additions + deletions
|
||||
if total_lines <= SMALL_LINES:
|
||||
lscore = 1.0
|
||||
reasons.append("small change size")
|
||||
elif total_lines <= MEDIUM_LINES:
|
||||
lscore = 2.0
|
||||
reasons.append("moderate change size")
|
||||
elif total_lines <= LARGE_LINES:
|
||||
lscore = 3.0
|
||||
reasons.append("large change size")
|
||||
else:
|
||||
lscore = 4.0
|
||||
reasons.append("very large change")
|
||||
|
||||
# Dependency changes
|
||||
if has_dependency_changes:
|
||||
dscore = 2.5
|
||||
reasons.append("dependency changes (architectural impact)")
|
||||
else:
|
||||
dscore = 0.0
|
||||
|
||||
# Test coverage delta
|
||||
tscore = 0.0
|
||||
if test_coverage_delta is not None:
|
||||
if test_coverage_delta > 0:
|
||||
reasons.append(f"test additions (+{test_coverage_delta} test files)")
|
||||
tscore = -min(2.0, test_coverage_delta / 2.0)
|
||||
elif test_coverage_delta < 0:
|
||||
reasons.append(f"test removals ({abs(test_coverage_delta)} test files)")
|
||||
tscore = min(2.0, abs(test_coverage_delta) * 0.5)
|
||||
else:
|
||||
reasons.append("test coverage change not assessed")
|
||||
|
||||
# Weighted sum, scaled by 3 to use full 1-10 range
|
||||
bonus = (fscore * WEIGHT_FILES) + (lscore * WEIGHT_LINES) + (dscore * WEIGHT_DEPS) + (tscore * WEIGHT_TEST_COV)
|
||||
scaled_bonus = bonus * 3.0
|
||||
score = 1.0 + scaled_bonus
|
||||
|
||||
final_score = max(1, min(10, int(round(score))))
|
||||
est_minutes = TIME_PER_POINT.get(final_score, 30)
|
||||
|
||||
return final_score, est_minutes, reasons
|
||||
|
||||
|
||||
def analyze_pr(client: GiteaClient, org: str, repo: str, pr_data: Dict) -> PRComplexity:
|
||||
pr_num = pr_data["number"]
|
||||
title = pr_data.get("title", "")
|
||||
files = client.get_pr_files(org, repo, pr_num)
|
||||
|
||||
additions = sum(f.get("additions", 0) for f in files)
|
||||
deletions = sum(f.get("deletions", 0) for f in files)
|
||||
filenames = [f.get("filename", "") for f in files]
|
||||
|
||||
has_deps = any(is_dependency_file(f) for f in filenames)
|
||||
|
||||
test_added = sum(1 for f in files if f.get("status") == "added" and is_test_file(f.get("filename", "")))
|
||||
test_removed = sum(1 for f in files if f.get("status") == "removed" and is_test_file(f.get("filename", "")))
|
||||
test_delta = test_added - test_removed if (test_added or test_removed) else None
|
||||
|
||||
score, est_min, reasons = score_pr(
|
||||
files_changed=len(files),
|
||||
additions=additions,
|
||||
deletions=deletions,
|
||||
has_dependency_changes=has_deps,
|
||||
test_coverage_delta=test_delta
|
||||
)
|
||||
|
||||
return PRComplexity(
|
||||
pr_number=pr_num,
|
||||
title=title,
|
||||
files_changed=len(files),
|
||||
additions=additions,
|
||||
deletions=deletions,
|
||||
has_dependency_changes=has_deps,
|
||||
test_coverage_delta=test_delta,
|
||||
score=score,
|
||||
estimated_minutes=est_min,
|
||||
reasons=reasons
|
||||
)
|
||||
|
||||
|
||||
def build_comment(complexity: PRComplexity) -> str:
|
||||
change_desc = f"{complexity.files_changed} files, +{complexity.additions}/-{complexity.deletions} lines"
|
||||
deps_note = "\n- :warning: Dependency changes detected — architectural review recommended" if complexity.has_dependency_changes else ""
|
||||
test_note = ""
|
||||
if complexity.test_coverage_delta is not None:
|
||||
if complexity.test_coverage_delta > 0:
|
||||
test_note = f"\n- :+1: {complexity.test_coverage_delta} test file(s) added"
|
||||
elif complexity.test_coverage_delta < 0:
|
||||
test_note = f"\n- :warning: {abs(complexity.test_coverage_delta)} test file(s) removed"
|
||||
|
||||
comment = f"## 📊 PR Complexity Analysis\n\n"
|
||||
comment += f"**PR #{complexity.pr_number}: {complexity.title}**\n\n"
|
||||
comment += f"| Metric | Value |\n|--------|-------|\n"
|
||||
comment += f"| Changes | {change_desc} |\n"
|
||||
comment += f"| Complexity Score | **{complexity.score}/10** |\n"
|
||||
comment += f"| Estimated Review Time | ~{complexity.estimated_minutes} minutes |\n\n"
|
||||
comment += f"### Scoring rationale:"
|
||||
for r in complexity.reasons:
|
||||
comment += f"\n- {r}"
|
||||
if deps_note:
|
||||
comment += deps_note
|
||||
if test_note:
|
||||
comment += test_note
|
||||
comment += f"\n\n---\n"
|
||||
comment += f"*Generated by PR Complexity Scorer — [issue #135](https://forge.alexanderwhitestone.com/Timmy_Foundation/compounding-intelligence/issues/135)*"
|
||||
return comment
|
||||
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description="PR Complexity Scorer")
|
||||
parser.add_argument("--org", default="Timmy_Foundation")
|
||||
parser.add_argument("--repo", default="compounding-intelligence")
|
||||
parser.add_argument("--token", default=os.environ.get("GITEA_TOKEN") or os.path.expanduser("~/.config/gitea/token"))
|
||||
parser.add_argument("--dry-run", action="store_true")
|
||||
parser.add_argument("--apply", action="store_true")
|
||||
parser.add_argument("--output", default="metrics/pr_complexity.json")
|
||||
args = parser.parse_args()
|
||||
|
||||
token_path = args.token
|
||||
if os.path.exists(token_path):
|
||||
with open(token_path) as f:
|
||||
token = f.read().strip()
|
||||
else:
|
||||
token = args.token
|
||||
|
||||
if not token:
|
||||
print("ERROR: No Gitea token provided", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
|
||||
client = GiteaClient(token)
|
||||
|
||||
print(f"Fetching open PRs for {args.org}/{args.repo}...")
|
||||
prs = client.get_open_prs(args.org, args.repo)
|
||||
if not prs:
|
||||
print("No open PRs found.")
|
||||
sys.exit(0)
|
||||
|
||||
print(f"Found {len(prs)} open PR(s). Analyzing...")
|
||||
|
||||
results = []
|
||||
Path(args.output).parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
for pr in prs:
|
||||
pr_num = pr["number"]
|
||||
title = pr.get("title", "")
|
||||
print(f" Analyzing PR #{pr_num}: {title[:60]}")
|
||||
|
||||
try:
|
||||
complexity = analyze_pr(client, args.org, args.repo, pr)
|
||||
results.append(complexity.to_dict())
|
||||
|
||||
comment = build_comment(complexity)
|
||||
|
||||
if args.dry_run:
|
||||
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()
|
||||
@@ -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)
|
||||
@@ -1,89 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Tests for scripts/doc_freshness.py — Issue #104."""
|
||||
|
||||
import os
|
||||
import sys
|
||||
import tempfile
|
||||
from pathlib import Path
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent / "scripts"))
|
||||
|
||||
import doc_freshness as df
|
||||
|
||||
|
||||
def test_collect_python_symbols():
|
||||
"""Should collect function and class names from Python files."""
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
# Create a simple Python file
|
||||
py_path = os.path.join(tmpdir, "sample.py")
|
||||
with open(py_path, "w") as f:
|
||||
f.write('''
|
||||
def my_func():
|
||||
pass
|
||||
|
||||
class MyClass:
|
||||
def method(self):
|
||||
pass
|
||||
|
||||
async def my_async():
|
||||
pass
|
||||
''')
|
||||
symbols = df.collect_python_symbols(tmpdir)
|
||||
assert "my_func" in symbols
|
||||
assert "MyClass" in symbols
|
||||
assert "my_async" in symbols
|
||||
# method (inside class) is also collected and should be considered valid
|
||||
assert "method" in symbols
|
||||
print("PASS: test_collect_python_symbols")
|
||||
|
||||
|
||||
def test_extract_doc_references_function_and_class():
|
||||
"""Should extract only function calls () and PascalCase class refs."""
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
docs = os.path.join(tmpdir, "docs")
|
||||
os.makedirs(docs)
|
||||
md_path = os.path.join(docs, "test.md")
|
||||
with open(md_path, "w") as f:
|
||||
f.write('''
|
||||
# Test
|
||||
|
||||
`call_this()` is a function.
|
||||
`SomeClass` is a class.
|
||||
`not_a_function` (lowercase, no parens) should be ignored.
|
||||
`filename.py` should be ignored.
|
||||
`https://example.com` ignored.
|
||||
''')
|
||||
refs = df.extract_doc_references(docs)
|
||||
names = [r[0] for r in refs]
|
||||
assert "call_this" in names
|
||||
assert "SomeClass" in names
|
||||
assert "not_a_function" not in names
|
||||
assert "filename" not in names # filename.py filtered
|
||||
assert "https" not in names
|
||||
print("PASS: test_extract_doc_references_function_and_class")
|
||||
|
||||
|
||||
def test_check_doc_freshness_missing_detection():
|
||||
"""Should detect missing symbols."""
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
# Code with one function
|
||||
code_dir = os.path.join(tmpdir, "code")
|
||||
os.makedirs(code_dir)
|
||||
with open(os.path.join(code_dir, "a.py"), "w") as f:
|
||||
f.write("def existing_func(): pass\n")
|
||||
# Docs reference existing_func and missing_func
|
||||
docs_dir = os.path.join(tmpdir, "docs")
|
||||
os.makedirs(docs_dir)
|
||||
with open(os.path.join(docs_dir, "readme.md"), "w") as f:
|
||||
f.write("`existing_func()` and `missing_func()` are mentioned.")
|
||||
result = df.check_doc_freshness(code_dir, docs_dir)
|
||||
assert result["missing_count"] == 1
|
||||
assert result["found_count"] == 1
|
||||
print("PASS: test_check_doc_freshness_missing_detection")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
test_collect_python_symbols()
|
||||
test_extract_doc_references_function_and_class()
|
||||
test_check_doc_freshness_missing_detection()
|
||||
print("All tests passed!")
|
||||
128
tests/test_docstring_generator.py
Normal file
128
tests/test_docstring_generator.py
Normal file
@@ -0,0 +1,128 @@
|
||||
"""Tests for docstring_generator module (Issue #96)."""
|
||||
|
||||
import ast
|
||||
import sys
|
||||
import tempfile
|
||||
from pathlib import Path
|
||||
|
||||
import pytest
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent / "scripts"))
|
||||
|
||||
from docstring_generator import (
|
||||
name_to_title,
|
||||
extract_body_hint,
|
||||
generate_docstring,
|
||||
process_source,
|
||||
iter_python_files,
|
||||
)
|
||||
|
||||
|
||||
class TestNameToTitle:
|
||||
def test_snake_to_title(self):
|
||||
assert name_to_title("validate_fact") == "Validate Fact"
|
||||
assert name_to_title("docstring_generator") == "Docstring Generator"
|
||||
assert name_to_title("main") == "Main"
|
||||
assert name_to_title("__init__") == "Init"
|
||||
|
||||
|
||||
class TestExtractBodyHint:
|
||||
def test_assignment_hint(self):
|
||||
body = [ast.parse("result = compute()").body[0]]
|
||||
hint = extract_body_hint(body)
|
||||
assert hint == "Compute or return compute()"
|
||||
|
||||
def test_return_hint(self):
|
||||
body = [ast.parse("return data").body[0]]
|
||||
hint = extract_body_hint(body)
|
||||
assert hint == "Return data"
|
||||
|
||||
def test_no_hint(self):
|
||||
body = [ast.parse("pass").body[0]]
|
||||
assert extract_body_hint(body) is None
|
||||
|
||||
|
||||
class TestGenerateDocstring:
|
||||
def test_simple_function(self):
|
||||
src = "def add(a, b):\n return a + b\n"
|
||||
tree = ast.parse(src)
|
||||
func = tree.body[0]
|
||||
doc = generate_docstring(func)
|
||||
assert 'Add' in doc
|
||||
assert 'a' in doc and 'b' in doc
|
||||
assert 'Args:' in doc
|
||||
assert 'Returns:' in doc
|
||||
|
||||
def test_typed_function(self):
|
||||
src = "def greet(name: str) -> str:\n return f'Hello {name}'\n"
|
||||
tree = ast.parse(src)
|
||||
func = tree.body[0]
|
||||
doc = generate_docstring(func)
|
||||
assert 'name (str)' in doc
|
||||
assert 'str' in doc
|
||||
|
||||
def test_async_function(self):
|
||||
src = "async def fetch():\n pass\n"
|
||||
tree = ast.parse(src)
|
||||
func = tree.body[0]
|
||||
doc = generate_docstring(func)
|
||||
assert 'Fetch' in doc
|
||||
|
||||
def test_self_skipped(self):
|
||||
src = "class C:\n def method(self, x):\n return x\n"
|
||||
tree = ast.parse(src)
|
||||
cls = tree.body[0]
|
||||
method = cls.body[0]
|
||||
doc = generate_docstring(method)
|
||||
# 'self' should not appear in Args section
|
||||
args_start = doc.find('Args:')
|
||||
if args_start >= 0:
|
||||
args_section = doc[args_start:]
|
||||
assert '(self)' not in args_section
|
||||
|
||||
|
||||
class TestProcessSource:
|
||||
def test_adds_docstrings(self):
|
||||
src = "def foo(x):\n return x * 2\n"
|
||||
new_src, funcs = process_source(src, "test.py")
|
||||
assert len(funcs) == 1 and funcs[0] == "foo"
|
||||
assert '"""' in new_src
|
||||
assert 'Foo' in new_src
|
||||
|
||||
def test_preserves_existing_docstrings(self):
|
||||
src = 'def bar():\n """Already documented."""\n return 1\n'
|
||||
new_src, funcs = process_source(src, "test.py")
|
||||
assert len(funcs) == 0
|
||||
assert new_src == src
|
||||
|
||||
def test_multiple_functions(self):
|
||||
src = "def a(): pass\ndef b(): pass\ndef c(): pass\n"
|
||||
new_src, funcs = process_source(src, "test.py")
|
||||
assert len(funcs) == 3
|
||||
assert '"""' in new_src
|
||||
|
||||
def test_dry_run_no_write(self, tmp_path):
|
||||
file = tmp_path / "t.py"
|
||||
file.write_text("def f(): pass\n")
|
||||
original_mtime = file.stat().st_mtime
|
||||
new_src, funcs = process_source(file.read_text(), str(file))
|
||||
assert funcs # detected
|
||||
# When caller handles write, dry-run leaves file unchanged
|
||||
current_mtime = file.stat().st_mtime
|
||||
assert current_mtime == original_mtime
|
||||
|
||||
|
||||
class TestIterPythonFiles:
|
||||
def test_single_file(self, tmp_path):
|
||||
f = tmp_path / "single.py"
|
||||
f.write_text("x = 1")
|
||||
files = iter_python_files([str(f)])
|
||||
assert len(files) == 1
|
||||
assert files[0].name == "single.py"
|
||||
|
||||
def test_directory_recursion(self, tmp_path):
|
||||
(tmp_path / "sub").mkdir()
|
||||
(tmp_path / "sub" / "a.py").write_text("a=1")
|
||||
(tmp_path / "b.py").write_text("b=2")
|
||||
files = iter_python_files([str(tmp_path)])
|
||||
assert len(files) == 2
|
||||
Reference in New Issue
Block a user