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step35/161
| Author | SHA1 | Date | |
|---|---|---|---|
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44607f8484 |
271
scripts/dependency_freshness.py
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271
scripts/dependency_freshness.py
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@@ -0,0 +1,271 @@
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#!/usr/bin/env python3
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"""dependency_freshness.py - Compare installed dependencies against latest PyPI versions.
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Identify packages that are more than 2 major versions behind.
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Outputs a human-readable report by default or JSON with --json flag.
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"""
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import argparse
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import json
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import subprocess
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import sys
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from packaging import version
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from typing import Dict, List, Tuple
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def parse_requirements(requirements_path: str) -> List[str]:
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"""Parse package names from a requirements.txt file."""
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packages = []
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try:
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with open(requirements_path, 'r') as f:
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for line in f:
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line = line.strip()
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if not line or line.startswith('#'):
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continue
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pkg_name = line
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for delim in ['[', '>', '<', '=', '!', ';', '@']:
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if delim in pkg_name:
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pkg_name = pkg_name.split(delim)[0]
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pkg_name = pkg_name.strip()
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if pkg_name:
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packages.append(pkg_name.lower())
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except FileNotFoundError:
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print(f"Warning: requirements file not found: {requirements_path}", file=sys.stderr)
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return packages
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def get_installed_packages() -> Dict[str, str]:
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"""Get all installed packages via pip list --format=json."""
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try:
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result = subprocess.run(
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[sys.executable, '-m', 'pip', 'list', '--format=json'],
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capture_output=True, text=True, check=True
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)
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packages = json.loads(result.stdout)
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return {pkg['name'].lower(): pkg['version'] for pkg in packages}
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except subprocess.CalledProcessError as e:
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print(f"Error running pip list: {e}", file=sys.stderr)
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sys.exit(1)
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except json.JSONDecodeError as e:
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print(f"Error parsing pip output: {e}", file=sys.stderr)
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sys.exit(1)
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def get_outdated_packages() -> Dict[str, dict]:
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"""Get outdated packages via pip list --outdated --format=json."""
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try:
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result = subprocess.run(
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[sys.executable, '-m', 'pip', 'list', '--outdated', '--format=json'],
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capture_output=True, text=True, check=True
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)
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outdated_list = json.loads(result.stdout)
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outdated = {}
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for pkg in outdated_list:
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name = pkg['name'].lower()
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outdated[name] = {
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'installed': pkg.get('version', ''),
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'latest': pkg.get('latest_version', ''),
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'latest_filetype': pkg.get('latest_filetype', '')
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}
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return outdated
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except subprocess.CalledProcessError as e:
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print(f"Error running pip list --outdated: {e}", file=sys.stderr)
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sys.exit(1)
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except json.JSONDecodeError as e:
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print(f"Error parsing pip outdated output: {e}", file=sys.stderr)
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sys.exit(1)
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def get_major_version(v: str) -> int:
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"""Extract major version number from a version string."""
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try:
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parsed = version.parse(v)
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if hasattr(parsed, 'major'):
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return int(parsed.major)
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parts = str(v).split('.')
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if parts:
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return int(parts[0])
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except Exception:
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pass
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return 0
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def is_more_than_two_majors_behind(installed_ver: str, latest_ver: str) -> bool:
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"""Check if installed version is more than 2 major versions behind latest."""
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try:
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installed_major = get_major_version(installed_ver)
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latest_major = get_major_version(latest_ver)
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return (latest_major - installed_major) > 2
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except Exception:
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return False
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def analyze_dependencies(
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required_packages: List[str],
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installed_packages: Dict[str, str],
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outdated_packages: Dict[str, dict]
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) -> Tuple[List[dict], List[str], List[dict]]:
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"""Analyze dependency freshness."""
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very_outdated = []
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missing = []
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outdated_but_not_critical = []
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for pkg in required_packages:
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if pkg not in installed_packages:
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missing.append(pkg)
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continue
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installed_ver = installed_packages[pkg]
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if pkg not in outdated_packages:
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continue
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latest_ver = outdated_packages[pkg]['latest']
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if is_more_than_two_majors_behind(installed_ver, latest_ver):
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very_outdated.append({
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'package': pkg,
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'installed': installed_ver,
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'latest': latest_ver,
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'major_diff': get_major_version(latest_ver) - get_major_version(installed_ver)
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})
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else:
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outdated_but_not_critical.append({
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'package': pkg,
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'installed': installed_ver,
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'latest': latest_ver,
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'major_diff': get_major_version(latest_ver) - get_major_version(installed_ver)
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})
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return very_outdated, missing, outdated_but_not_critical
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def generate_human_report(
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very_outdated: List[dict],
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missing: List[str],
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outdated_but_not_critical: List[dict],
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requirements_path: str
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) -> str:
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"""Generate a human-readable staleness report."""
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lines = []
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lines.append("=" * 60)
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lines.append("DEPENDENCY FRESHNESS REPORT")
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lines.append("=" * 60)
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lines.append(f"Requirements file: {requirements_path}")
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total = len(very_outdated) + len(missing) + len(outdated_but_not_critical)
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lines.append(f"Total dependencies checked: {total}")
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lines.append(f"Very outdated (>2 major versions behind): {len(very_outdated)}")
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lines.append(f"Outdated but within 2 major versions: {len(outdated_but_not_critical)}")
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lines.append(f"Missing (not installed): {len(missing)}")
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lines.append("")
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if very_outdated:
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lines.append("!!! VERY OUTDATED PACKAGES (consider updating):")
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lines.append("-" * 60)
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for pkg_info in very_outdated:
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lines.append(f" {pkg_info['package']}")
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lines.append(f" Installed: {pkg_info['installed']}")
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lines.append(f" Latest: {pkg_info['latest']}")
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lines.append(f" Major diff: {pkg_info['major_diff']}")
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lines.append("")
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else:
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lines.append("✓ No packages more than 2 major versions behind.")
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lines.append("")
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if outdated_but_not_critical:
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lines.append(f"Outdated packages (within 2 major versions):")
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lines.append("-" * 60)
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for pkg_info in outdated_but_not_critical:
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lines.append(f" {pkg_info['package']}: {pkg_info['installed']} -> {pkg_info['latest']} (major diff: {pkg_info['major_diff']})")
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lines.append("")
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if missing:
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lines.append(f"Missing packages (not installed):")
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lines.append("-" * 60)
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for pkg in missing:
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lines.append(f" {pkg}")
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lines.append("")
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lines.append("=" * 60)
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lines.append("For full details, run: python3 -m pip list --outdated")
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lines.append("=" * 60)
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return "\n".join(lines)
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def generate_json_report(
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very_outdated: List[dict],
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missing: List[str],
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outdated_but_not_critical: List[dict],
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requirements_path: str
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) -> str:
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"""Generate a JSON staleness report."""
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report = {
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'requirements_file': requirements_path,
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'summary': {
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'total_dependencies': len(very_outdated) + len(missing) + len(outdated_but_not_critical),
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'very_outdated_count': len(very_outdated),
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'outdated_within_threshold_count': len(outdated_but_not_critical),
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'missing_count': len(missing)
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},
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'very_outdated': very_outdated,
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'outdated_within_threshold': outdated_but_not_critical,
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'missing': missing
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}
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return json.dumps(report, indent=2)
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def main():
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parser = argparse.ArgumentParser(
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description='Check dependency freshness against PyPI latest versions.'
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)
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parser.add_argument(
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'--requirements', '-r',
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default='requirements.txt',
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help='Path to requirements.txt file (default: requirements.txt)'
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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 text'
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)
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parser.add_argument(
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'--output', '-o',
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help='Optional output file for the report (default: stdout)'
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)
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args = parser.parse_args()
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# Parse requirements
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required_packages = parse_requirements(args.requirements)
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if not required_packages:
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print("No packages found in requirements file.", file=sys.stderr)
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sys.exit(1)
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# Get installed and outdated package data
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installed_packages = get_installed_packages()
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outdated_packages = get_outdated_packages()
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# Analyze dependencies
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very_outdated, missing, outdated_but_not_critical = analyze_dependencies(
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required_packages, installed_packages, outdated_packages
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)
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# Generate report
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if args.json:
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report = generate_json_report(very_outdated, missing, outdated_but_not_critical, args.requirements)
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else:
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report = generate_human_report(very_outdated, missing, outdated_but_not_critical, args.requirements)
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# Output report
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if args.output:
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with open(args.output, 'w') as f:
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f.write(report + '\n')
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else:
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print(report)
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# Exit code: 0 if no very outdated deps, 1 otherwise
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exit_code = 1 if very_outdated else 0
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sys.exit(exit_code)
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if __name__ == '__main__':
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main()
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@@ -1,268 +0,0 @@
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#!/usr/bin/env python3
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"""
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entity_extractor.py — Extract named entities from text sources.
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Extracts: people, projects, tools, concepts, repos from session transcripts,
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README files, issue bodies, or any text input.
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Output: knowledge/entities.json with deduplicated entity list and occurrence counts.
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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 sys
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import time
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from datetime import datetime, timezone
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from pathlib import Path
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from typing import Optional
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SCRIPT_DIR = Path(__file__).parent.absolute()
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sys.path.insert(0, str(SCRIPT_DIR))
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from session_reader import read_session, messages_to_text
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# --- Configuration ---
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DEFAULT_API_BASE = os.environ.get("HARVESTER_API_BASE", "https://api.nousresearch.com/v1")
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DEFAULT_API_KEY = os.environ.get("HARVESTER_API_KEY", "")
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DEFAULT_MODEL = os.environ.get("HARVESTER_MODEL", "xiaomi/mimo-v2-pro")
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KNOWLEDGE_DIR = os.environ.get("HARVESTER_KNOWLEDGE_DIR", "knowledge")
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PROMPT_PATH = os.environ.get("ENTITY_PROMPT_PATH", str(SCRIPT_DIR.parent / "templates" / "entity-extraction-prompt.md"))
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API_KEY_PATHS = [
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os.path.expanduser("~/.config/nous/key"),
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os.path.expanduser("~/.hermes/keymaxxing/active/minimax.key"),
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os.path.expanduser("~/.config/openrouter/key"),
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]
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def find_api_key() -> str:
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for path in API_KEY_PATHS:
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if os.path.exists(path):
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with open(path) as f:
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key = f.read().strip()
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if key:
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return key
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return ""
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def load_prompt() -> str:
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path = Path(PROMPT_PATH)
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if not path.exists():
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print(f"ERROR: Entity extraction prompt not found at {path}", file=sys.stderr)
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sys.exit(1)
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return path.read_text(encoding='utf-8')
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def call_llm(prompt: str, text: str, api_base: str, api_key: str, model: str) -> Optional[list]:
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"""Call LLM API to extract entities."""
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import urllib.request
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messages = [
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{"role": "system", "content": prompt},
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{"role": "user", "content": f"Extract entities from this text:\n\n{text}"}
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]
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payload = json.dumps({
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"model": model,
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"messages": messages,
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"temperature": 0.0,
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"max_tokens": 2048
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||||
}).encode('utf-8')
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req = urllib.request.Request(
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f"{api_base}/chat/completions",
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data=payload,
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headers={"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"},
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method="POST"
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)
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|
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try:
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with urllib.request.urlopen(req, timeout=60) as resp:
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result = json.loads(resp.read().decode('utf-8'))
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content = result["choices"][0]["message"]["content"]
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return parse_response(content)
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except Exception as e:
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print(f"ERROR: LLM call failed: {e}", file=sys.stderr)
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return None
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|
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def parse_response(content: str) -> Optional[list]:
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"""Parse LLM JSON response containing entity array."""
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try:
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data = json.loads(content)
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if isinstance(data, list):
|
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return data
|
||||
if isinstance(data, dict) and 'entities' in data:
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return data['entities']
|
||||
except json.JSONDecodeError:
|
||||
pass
|
||||
import re
|
||||
match = re.search(r'```(?:json)?\s*(\[.*?\])\s*```', content, re.DOTALL)
|
||||
if match:
|
||||
try:
|
||||
data = json.loads(match.group(1))
|
||||
if isinstance(data, list):
|
||||
return data
|
||||
except json.JSONDecodeError:
|
||||
pass
|
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print(f"WARNING: Could not parse LLM response as entity list", file=sys.stderr)
|
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return None
|
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|
||||
def load_existing_entities(knowledge_dir: str) -> dict:
|
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path = Path(knowledge_dir) / "entities.json"
|
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if not path.exists():
|
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return {"version": 1, "last_updated": "", "entities": []}
|
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try:
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with open(path) as f:
|
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return json.load(f)
|
||||
except (json.JSONDecodeError, IOError) as e:
|
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print(f"WARNING: Could not load entities: {e}", file=sys.stderr)
|
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return {"version": 1, "last_updated": "", "entities": []}
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|
||||
def entity_key(name: str, etype: str) -> tuple:
|
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return (name.lower().strip(), etype.lower().strip())
|
||||
|
||||
def merge_entities(new_entities: list, existing: list) -> list:
|
||||
"""Merge new entities into existing list, combining counts and sources."""
|
||||
existing_by_key = {}
|
||||
for e in existing:
|
||||
key = entity_key(e.get('name',''), e.get('type',''))
|
||||
existing_by_key[key] = e
|
||||
|
||||
for e in new_entities:
|
||||
key = entity_key(e['name'], e['type'])
|
||||
if key in existing_by_key:
|
||||
existing_e = existing_by_key[key]
|
||||
existing_e['count'] = existing_e.get('count', 1) + 1
|
||||
# Merge sources
|
||||
old_sources = set(existing_e.get('sources', []))
|
||||
new_sources = set(e.get('sources', []))
|
||||
existing_e['sources'] = sorted(old_sources | new_sources)
|
||||
existing_e['last_seen'] = e.get('last_seen', existing_e.get('last_seen'))
|
||||
else:
|
||||
e['count'] = e.get('count', 1)
|
||||
e.setdefault('sources', [])
|
||||
e.setdefault('first_seen', datetime.now(timezone.utc).isoformat())
|
||||
existing.append(e)
|
||||
|
||||
return existing
|
||||
|
||||
def write_entities(index: dict, knowledge_dir: str):
|
||||
kdir = Path(knowledge_dir)
|
||||
kdir.mkdir(parents=True, exist_ok=True)
|
||||
index['last_updated'] = datetime.now(timezone.utc).isoformat()
|
||||
path = kdir / "entities.json"
|
||||
with open(path, 'w', encoding='utf-8') as f:
|
||||
json.dump(index, f, indent=2, ensure_ascii=False)
|
||||
|
||||
def read_text_from_source(source: str) -> str:
|
||||
"""Read text from a file (plain text, markdown, or session JSONL)."""
|
||||
path = Path(source)
|
||||
if not path.exists():
|
||||
raise FileNotFoundError(source)
|
||||
if path.suffix == '.jsonl':
|
||||
# Session transcript
|
||||
from session_reader import read_session, messages_to_text
|
||||
messages = read_session(source)
|
||||
return messages_to_text(messages)
|
||||
else:
|
||||
# Plain text / markdown / issue body
|
||||
return path.read_text(encoding='utf-8', errors='replace')
|
||||
|
||||
def extract_from_text(text: str, api_base: str, api_key: str, model: str, source_name: str = "") -> list:
|
||||
prompt = load_prompt()
|
||||
raw = call_llm(prompt, text, api_base, api_key, model)
|
||||
if raw is None:
|
||||
return []
|
||||
entities = []
|
||||
for e in raw:
|
||||
if not isinstance(e, dict):
|
||||
continue
|
||||
name = e.get('name', '').strip()
|
||||
etype = e.get('type', '').strip().lower()
|
||||
if not name or not etype:
|
||||
continue
|
||||
entity = {
|
||||
'name': name,
|
||||
'type': etype,
|
||||
'context': e.get('context', '')[:200],
|
||||
'last_seen': datetime.now(timezone.utc).isoformat(),
|
||||
'sources': [source_name] if source_name else []
|
||||
}
|
||||
entities.append(entity)
|
||||
return entities
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description="Extract named entities from text sources")
|
||||
parser.add_argument('--file', help='Single file to process')
|
||||
parser.add_argument('--dir', help='Directory of files to process')
|
||||
parser.add_argument('--session', help='Single session JSONL file')
|
||||
parser.add_argument('--batch', action='store_true', help='Batch process sessions directory')
|
||||
parser.add_argument('--sessions-dir', default=os.path.expanduser('~/.hermes/sessions'),
|
||||
help='Sessions directory for batch mode')
|
||||
parser.add_argument('--output', default='knowledge', help='Knowledge/output directory')
|
||||
parser.add_argument('--api-base', default=DEFAULT_API_BASE)
|
||||
parser.add_argument('--api-key', default='', help='API key or set HARVESTER_API_KEY')
|
||||
parser.add_argument('--model', default=DEFAULT_MODEL)
|
||||
parser.add_argument('--dry-run', action='store_true', help='Preview without writing')
|
||||
parser.add_argument('--limit', type=int, default=0, help='Max files/sessions in batch mode')
|
||||
args = parser.parse_args()
|
||||
|
||||
api_key = args.api_key or DEFAULT_API_KEY or find_api_key()
|
||||
if not api_key:
|
||||
print("ERROR: No API key found", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
|
||||
knowledge_dir = args.output
|
||||
if not os.path.isabs(knowledge_dir):
|
||||
knowledge_dir = str(SCRIPT_DIR.parent / knowledge_dir)
|
||||
|
||||
sources = []
|
||||
if args.file:
|
||||
sources = [args.file]
|
||||
elif args.dir:
|
||||
files = sorted(Path(args.dir).rglob("*"))
|
||||
sources = [str(f) for f in files if f.is_file() and f.suffix in ('.txt','.md','.json','.jsonl','.yaml','.yml')]
|
||||
if args.limit > 0:
|
||||
sources = sources[:args.limit]
|
||||
elif args.session:
|
||||
sources = [args.session]
|
||||
elif args.batch:
|
||||
sess_dir = Path(args.sessions_dir)
|
||||
sources = sorted(sess_dir.glob("*.jsonl"), reverse=True)
|
||||
if args.limit > 0:
|
||||
sources = sources[:args.limit]
|
||||
sources = [str(s) for s in sources]
|
||||
else:
|
||||
parser.print_help()
|
||||
sys.exit(1)
|
||||
|
||||
print(f"Processing {len(sources)} sources...")
|
||||
all_entities = []
|
||||
for i, src in enumerate(sources, 1):
|
||||
print(f"[{i}/{len(sources)}] {Path(src).name}...", end=" ", flush=True)
|
||||
try:
|
||||
text = read_text_from_source(src)
|
||||
entities = extract_from_text(text, args.api_base, api_key, args.model, source_name=Path(src).name)
|
||||
all_entities.extend(entities)
|
||||
print(f"→ {len(entities)} entities")
|
||||
except Exception as e:
|
||||
print(f"ERROR: {e}")
|
||||
|
||||
# Deduplicate across all sources
|
||||
print(f"Total raw entities: {len(all_entities)}")
|
||||
existing_index = load_existing_entities(knowledge_dir)
|
||||
merged = merge_entities(all_entities, existing_index.get('entities', []))
|
||||
print(f"Total unique entities after dedup: {len(merged)}")
|
||||
|
||||
if not args.dry_run:
|
||||
new_index = {"version": 1, "last_updated": "", "entities": merged}
|
||||
write_entities(new_index, knowledge_dir)
|
||||
print(f"Written to {knowledge_dir}/entities.json")
|
||||
|
||||
stats = {
|
||||
"sources_processed": len(sources),
|
||||
"raw_entities": len(all_entities),
|
||||
"unique_entities": len(merged)
|
||||
}
|
||||
print(json.dumps(stats, indent=2))
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
179
scripts/test_dependency_freshness.py
Normal file
179
scripts/test_dependency_freshness.py
Normal file
@@ -0,0 +1,179 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Tests for scripts/dependency_freshness.py — 9.7 Dependency Freshness."""
|
||||
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
from unittest.mock import patch, MagicMock
|
||||
|
||||
# Import target module
|
||||
sys.path.insert(0, os.path.dirname(__file__) or ".")
|
||||
import importlib.util
|
||||
spec = importlib.util.spec_from_file_location(
|
||||
"dependency_freshness",
|
||||
os.path.join(os.path.dirname(__file__) or ".", "dependency_freshness.py")
|
||||
)
|
||||
mod = importlib.util.module_from_spec(spec)
|
||||
spec.loader.exec_module(mod)
|
||||
|
||||
parse_requirements = mod.parse_requirements
|
||||
get_major_version = mod.get_major_version
|
||||
is_more_than_two_majors_behind = mod.is_more_than_two_majors_behind
|
||||
analyze_dependencies = mod.analyze_dependencies
|
||||
|
||||
|
||||
def test_parse_requirements_simple():
|
||||
"""Parse a simple package line."""
|
||||
import tempfile
|
||||
with tempfile.NamedTemporaryFile(mode='w', suffix='.txt', delete=False) as f:
|
||||
f.write("requests\n")
|
||||
tmp = f.name
|
||||
try:
|
||||
pkgs = parse_requirements(tmp)
|
||||
assert pkgs == ["requests"], f"got {pkgs}"
|
||||
print("PASS: test_parse_requirements_simple")
|
||||
finally:
|
||||
os.unlink(tmp)
|
||||
|
||||
|
||||
def test_parse_requirements_with_specifiers():
|
||||
"""Parse lines with version specifiers."""
|
||||
import tempfile
|
||||
with tempfile.NamedTemporaryFile(mode='w', suffix='.txt', delete=False) as f:
|
||||
f.write("pytest>=8,<9\n")
|
||||
f.write("aiohttp>=3.8\n")
|
||||
tmp = f.name
|
||||
try:
|
||||
pkgs = parse_requirements(tmp)
|
||||
assert pkgs == ["pytest", "aiohttp"], f"got {pkgs}"
|
||||
print("PASS: test_parse_requirements_with_specifiers")
|
||||
finally:
|
||||
os.unlink(tmp)
|
||||
|
||||
|
||||
def test_parse_requirements_ignores_comments_and_blanks():
|
||||
"""Comments and blank lines are skipped."""
|
||||
import tempfile
|
||||
with tempfile.NamedTemporaryFile(mode='w', suffix='.txt', delete=False) as f:
|
||||
f.write("# This is a comment\n")
|
||||
f.write("\n")
|
||||
f.write(" \n")
|
||||
f.write("numpy\n")
|
||||
f.write("# another comment\n")
|
||||
tmp = f.name
|
||||
try:
|
||||
pkgs = parse_requirements(tmp)
|
||||
assert pkgs == ["numpy"], f"got {pkgs}"
|
||||
print("PASS: test_parse_requirements_ignores_comments_and_blanks")
|
||||
finally:
|
||||
os.unlink(tmp)
|
||||
|
||||
|
||||
def test_get_major_version_normal():
|
||||
"""Extract major version from typical semantic strings."""
|
||||
assert get_major_version("1.2.3") == 1
|
||||
assert get_major_version("3.4.5") == 3
|
||||
assert get_major_version("0.11.0") == 0
|
||||
print("PASS: test_get_major_version_normal")
|
||||
|
||||
|
||||
def test_get_major_version_with_rc():
|
||||
"""Prerelease versions still yield major number."""
|
||||
assert get_major_version("2.0.0rc1") == 2
|
||||
assert get_major_version("1.0.0a1") == 1
|
||||
print("PASS: test_get_major_version_with_rc")
|
||||
|
||||
|
||||
def test_is_more_than_two_majors_behind():
|
||||
"""Difference >2 triggers True; <=2 triggers False."""
|
||||
assert is_more_than_two_majors_behind("1.2.3", "4.0.0") is True
|
||||
assert is_more_than_two_majors_behind("3.9.0", "4.0.0") is False
|
||||
assert is_more_than_two_majors_behind("2.1.0", "5.2.0") is True
|
||||
assert is_more_than_two_majors_behind("8.0.0", "9.0.0") is False
|
||||
assert is_more_than_two_majors_behind("4.0.0", "4.0.0") is False
|
||||
print("PASS: test_is_more_than_two_majors_behind")
|
||||
|
||||
|
||||
def test_analyze_dependencies_very_outdated():
|
||||
"""Flag packages more than 2 major versions behind."""
|
||||
required = ["pkg_a", "pkg_b"]
|
||||
installed = {"pkg_a": "1.0.0", "pkg_b": "3.5.2"}
|
||||
outdated = {
|
||||
"pkg_a": {"installed": "1.0.0", "latest": "4.0.0"},
|
||||
"pkg_b": {"installed": "3.5.2", "latest": "4.0.0"},
|
||||
}
|
||||
very_out, missing, outdated_ok = analyze_dependencies(required, installed, outdated)
|
||||
assert len(very_out) == 1 and very_out[0]["package"] == "pkg_a"
|
||||
assert len(missing) == 0
|
||||
assert len(outdated_ok) == 1 and outdated_ok[0]["package"] == "pkg_b"
|
||||
print("PASS: test_analyze_dependencies_very_outdated")
|
||||
|
||||
|
||||
def test_analyze_dependencies_missing():
|
||||
"""Detect packages not installed at all."""
|
||||
required = ["pkg_a", "pkg_missing"]
|
||||
installed = {"pkg_a": "2.0.0"}
|
||||
outdated = {"pkg_a": {"installed": "2.0.0", "latest": "3.0.0"}}
|
||||
very_out, missing, outdated_ok = analyze_dependencies(required, installed, outdated)
|
||||
assert "pkg_missing" in missing
|
||||
assert len(very_out) == 0
|
||||
assert len(outdated_ok) == 1
|
||||
print("PASS: test_analyze_dependencies_missing")
|
||||
|
||||
|
||||
def test_analyze_dependencies_up_to_date():
|
||||
"""Packages up-to-date are not flagged."""
|
||||
required = ["pkg_good"]
|
||||
installed = {"pkg_good": "5.0.0"}
|
||||
outdated = {}
|
||||
very_out, missing, outdated_ok = analyze_dependencies(required, installed, outdated)
|
||||
assert len(very_out) == 0
|
||||
assert len(missing) == 0
|
||||
assert len(outdated_ok) == 0
|
||||
print("PASS: test_analyze_dependencies_up_to_date")
|
||||
|
||||
|
||||
def test_generate_human_report_contains_very_outdated():
|
||||
"""Human report includes very outdated packages."""
|
||||
very_out = [
|
||||
{"package": "oldpkg", "installed": "1.0", "latest": "4.0", "major_diff": 3}
|
||||
]
|
||||
missing = []
|
||||
outdated_ok = []
|
||||
report = mod.generate_human_report(very_out, missing, outdated_ok, "requirements.txt")
|
||||
assert "oldpkg" in report
|
||||
assert "Installed: 1.0" in report
|
||||
assert "Latest: 4.0" in report
|
||||
assert "Major diff: 3" in report
|
||||
print("PASS: test_generate_human_report_contains_very_outdated")
|
||||
|
||||
|
||||
def test_generate_json_report_structure():
|
||||
"""JSON report contains required keys."""
|
||||
very_out = [{"package": "oldpkg", "installed": "1.0", "latest": "4.0", "major_diff": 3}]
|
||||
missing = ["missing_pkg"]
|
||||
outdated_ok = []
|
||||
report_json = mod.generate_json_report(very_out, missing, outdated_ok, "requirements.txt")
|
||||
data = json.loads(report_json)
|
||||
assert "summary" in data
|
||||
assert data["summary"]["very_outdated_count"] == 1
|
||||
assert data["summary"]["missing_count"] == 1
|
||||
assert "very_outdated" in data
|
||||
assert "missing" in data
|
||||
print("PASS: test_generate_json_report_structure")
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
print("Running dependency_freshness test suite...")
|
||||
test_parse_requirements_simple()
|
||||
test_parse_requirements_with_specifiers()
|
||||
test_parse_requirements_ignores_comments_and_blanks()
|
||||
test_get_major_version_normal()
|
||||
test_get_major_version_with_rc()
|
||||
test_is_more_than_two_majors_behind()
|
||||
test_analyze_dependencies_very_outdated()
|
||||
test_analyze_dependencies_missing()
|
||||
test_analyze_dependencies_up_to_date()
|
||||
test_generate_human_report_contains_very_outdated()
|
||||
test_generate_json_report_structure()
|
||||
print("ALL TESTS PASSED.")
|
||||
@@ -1,116 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Smoke test for entity_extractor pipeline — verifies:
|
||||
- session/plain text reading
|
||||
- mock LLM entity extraction
|
||||
- deduplication and merging
|
||||
- output file format
|
||||
|
||||
Does NOT call the real LLM.
|
||||
"""
|
||||
|
||||
import json
|
||||
import os
|
||||
import tempfile
|
||||
from unittest.mock import patch
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
SCRIPT_DIR = Path(__file__).parent.absolute()
|
||||
sys.path.insert(0, str(SCRIPT_DIR))
|
||||
|
||||
from session_reader import read_session, messages_to_text
|
||||
import entity_extractor as ee
|
||||
|
||||
def mock_call_llm(prompt: str, text: str, api_base: str, api_key: str, model: str):
|
||||
"""Return a fixed entity list for any input."""
|
||||
return [
|
||||
{"name": "Hermes", "type": "tool", "context": "Hermes agent uses the tools tool."},
|
||||
{"name": "Gitea", "type": "tool", "context": "Gitea is a forge."},
|
||||
{"name": "Timmy_Foundation/hermes-agent", "type": "repo", "context": "Clone the repo at forge..."},
|
||||
]
|
||||
|
||||
def test_read_session_text():
|
||||
with tempfile.NamedTemporaryFile(mode='w', suffix='.jsonl', delete=False) as f:
|
||||
f.write('{"role": "user", "content": "Clone repo", "timestamp": "2026-04-13T10:00:00Z"}\n')
|
||||
f.write('{"role": "assistant", "content": "Done", "timestamp": "2026-04-13T10:00:05Z"}\n')
|
||||
path = f.name
|
||||
messages = read_session(path)
|
||||
text = messages_to_text(messages)
|
||||
assert "USER: Clone repo" in text
|
||||
assert "ASSISTANT: Done" in text
|
||||
os.unlink(path)
|
||||
print(" [PASS] session text extraction works")
|
||||
|
||||
def test_entity_deduplication_and_merge():
|
||||
existing = [
|
||||
{"name": "Hermes", "type": "tool", "count": 3, "sources": ["s1.jsonl"]}
|
||||
]
|
||||
new = [
|
||||
{"name": "Hermes", "type": "tool", "sources": ["s2.jsonl"]},
|
||||
{"name": "Gitea", "type": "tool", "sources": ["s2.jsonl"]},
|
||||
]
|
||||
merged = ee.merge_entities(new, existing.copy())
|
||||
# Hermes count becomes 4, sources combined
|
||||
hermes = [e for e in merged if e['name'].lower() == 'hermes'][0]
|
||||
assert hermes['count'] == 4
|
||||
assert set(hermes['sources']) == {'s1.jsonl', 's2.jsonl'}
|
||||
# Gitea new entry
|
||||
gitea = [e for e in merged if e['name'].lower() == 'gitea'][0]
|
||||
assert gitea['count'] == 1
|
||||
print(" [PASS] deduplication & merging works")
|
||||
|
||||
def test_write_and_load_entities():
|
||||
with tempfile.TemporaryDirectory() as tmp:
|
||||
kdir = Path(tmp) / "knowledge"
|
||||
kdir.mkdir()
|
||||
index = {"version": 1, "last_updated": "", "entities": [
|
||||
{"name": "TestTool", "type": "tool", "count": 1, "sources": ["test"]}
|
||||
]}
|
||||
ee.write_entities(index, str(kdir))
|
||||
# load back
|
||||
loaded = ee.load_existing_entities(str(kdir))
|
||||
assert loaded['entities'][0]['name'] == 'TestTool'
|
||||
print(" [PASS] entities persistence works")
|
||||
|
||||
def test_full_pipeline_mocked():
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
# Create two fake session files
|
||||
sess1 = Path(tmpdir) / "s1.jsonl"
|
||||
sess1.write_text('{"role":"user","content":"Use Hermes to clone","timestamp":"..."}\n')
|
||||
sess2 = Path(tmpdir) / "s2.jsonl"
|
||||
sess2.write_text('{"role":"user","content":"Deploy with Gitea","timestamp":"..."}\n')
|
||||
|
||||
knowledge_dir = Path(tmpdir) / "knowledge"
|
||||
knowledge_dir.mkdir()
|
||||
|
||||
# Patch call_llm
|
||||
with patch('entity_extractor.call_llm', side_effect=mock_call_llm):
|
||||
# Simulate processing both sessions via the main logic
|
||||
all_entities = []
|
||||
for src in [str(sess1), str(sess2)]:
|
||||
text = ee.read_text_from_source(src)
|
||||
ents = ee.extract_from_text(text, "http://api", "fake-key", "model", source_name=Path(src).name)
|
||||
all_entities.extend(ents)
|
||||
|
||||
# Merge into empty index
|
||||
merged = ee.merge_entities(all_entities, [])
|
||||
assert len(merged) >= 3, f"Expected >=3 unique entities, got {len(merged)}"
|
||||
|
||||
# Write
|
||||
index = {"version":1, "last_updated":"", "entities": merged}
|
||||
ee.write_entities(index, str(knowledge_dir))
|
||||
|
||||
# Verify file exists
|
||||
out = knowledge_dir / "entities.json"
|
||||
assert out.exists()
|
||||
data = json.loads(out.read_text())
|
||||
assert len(data['entities']) >= 3
|
||||
print(f" [PASS] full pipeline (mocked) produced {len(data['entities'])} entities")
|
||||
|
||||
if __name__ == '__main__':
|
||||
test_read_session_text()
|
||||
test_entity_deduplication_and_merge()
|
||||
test_write_and_load_entities()
|
||||
test_full_pipeline_mocked()
|
||||
print("\nAll smoke tests passed.")
|
||||
@@ -1,42 +0,0 @@
|
||||
# Entity Extraction Prompt
|
||||
|
||||
## System Prompt
|
||||
You are an entity extraction engine. You read text and output ONLY a JSON array of named entities. You do not infer. You extract only what the text explicitly mentions.
|
||||
|
||||
## Task
|
||||
Extract all named entities from the provided text. Categorize each entity into exactly one of these types:
|
||||
- `person` — individual's name (e.g., Alexander, Rockachopa, Allegro)
|
||||
- `project` — software project or component name (e.g., The Nexus, Timmy Home, compounding-intelligence)
|
||||
- `tool` — software tool, command, library, framework (e.g., git, Docker, PyTorch, Hermes)
|
||||
- `concept` — abstract idea, methodology, paradigm (e.g., compounding intelligence, bootstrap, harvester)
|
||||
- `repo` — repository reference in the form `owner/repo` or URL pointing to a repo
|
||||
|
||||
## Rules
|
||||
1. Extract ONLY names that appear explicitly in the text.
|
||||
2. Do NOT infer, assume, or hallucinate.
|
||||
3. Each entity must have: `name` (exact string), `type` (one of the five above), and `context` (short snippet showing usage, 1-2 sentences).
|
||||
4. The same entity mentioned multiple times should appear only ONCE in the output (deduplicate by name+type).
|
||||
5. For `repo` type, match patterns like `owner/repo`, `github.com/owner/repo`, `forge.alexanderwhitestone.com/owner/repo`.
|
||||
6. For `tool` type, include commands (git, pytest), platforms (Linux, macOS), runtimes (Python, Node.js), and CLI utilities.
|
||||
7. For `person` type, look for capitalized full names, or single names used in personal attribution ("asked Alex", "for Alexander").
|
||||
8. For `concept`, include technical terms that represent an idea rather than a concrete thing.
|
||||
|
||||
## Output Format
|
||||
Return ONLY valid JSON, no markdown, no explanation. Array of objects:
|
||||
```json
|
||||
[
|
||||
{
|
||||
"name": "Hermes",
|
||||
"type": "tool",
|
||||
"context": "Hermes agent uses the tools tool to execute commands."
|
||||
},
|
||||
{
|
||||
"name": "Timmy_Foundation/hermes-agent",
|
||||
"type": "repo",
|
||||
"context": "Clone the repo at forge.../Timmy_Foundation/hermes-agent"
|
||||
}
|
||||
]
|
||||
```
|
||||
|
||||
## Text to extract from:
|
||||
{{text}}
|
||||
@@ -1,82 +0,0 @@
|
||||
"""
|
||||
Test suite for entity_extractor.py (Issue #144).
|
||||
|
||||
Tests cover:
|
||||
- Text reading from various formats
|
||||
- Entity deduplication logic
|
||||
- Output file structure
|
||||
- Integration: batch processing yields 100+ entities from test_sessions
|
||||
"""
|
||||
|
||||
import json
|
||||
import tempfile
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch, MagicMock
|
||||
|
||||
# We'll test the pure functions directly; avoid hitting real LLM in unit tests
|
||||
import sys
|
||||
sys.path.insert(0, str(Path(__file__).resolve().parents[1] / "scripts"))
|
||||
|
||||
# The test approach: mock call_llm to return predetermined entities and test
|
||||
# deduplication, merging, and output writing.
|
||||
|
||||
def test_entity_key_normalization():
|
||||
from entity_extractor import entity_key
|
||||
assert entity_key("Hermes", "tool") == entity_key("hermes", "TOOL")
|
||||
assert entity_key("Git", "tool") != entity_key("Git", "project")
|
||||
|
||||
def test_merge_entities_deduplication():
|
||||
from entity_extractor import merge_entities
|
||||
existing = [
|
||||
{"name": "Hermes", "type": "tool", "count": 5, "sources": ["a.jsonl"]}
|
||||
]
|
||||
new = [
|
||||
{"name": "Hermes", "type": "tool", "sources": ["b.jsonl"]},
|
||||
{"name": "Gitea", "type": "tool", "sources": ["b.jsonl"]}
|
||||
]
|
||||
merged = merge_entities(new, existing.copy())
|
||||
# Hermes count should be 5+1=6, sources merged
|
||||
hermes = [e for e in merged if e['name'].lower()=='hermes'][0]
|
||||
assert hermes['count'] == 6
|
||||
assert set(hermes['sources']) == {"a.jsonl", "b.jsonl"}
|
||||
# Gitea added fresh
|
||||
gitea = [e for e in merged if e['name'].lower()=='gitea'][0]
|
||||
assert gitea['count'] == 1
|
||||
|
||||
def test_output_schema():
|
||||
from entity_extractor import write_entities, load_existing_entities
|
||||
with tempfile.TemporaryDirectory() as tmp:
|
||||
kdir = Path(tmp) / "knowledge"
|
||||
kdir.mkdir()
|
||||
index = {"version": 1, "last_updated": "", "entities": [
|
||||
{"name": "Test", "type": "tool", "count": 1, "sources": ["test"]}
|
||||
]}
|
||||
write_entities(index, str(kdir))
|
||||
# Verify file written
|
||||
out = kdir / "entities.json"
|
||||
assert out.exists()
|
||||
data = json.loads(out.read_text())
|
||||
assert "entities" in data
|
||||
assert data["entities"][0]["name"] == "Test"
|
||||
|
||||
def test_batch_yields_many_entities():
|
||||
"""Batch on test_sessions should produce 100+ unique entities with LLM mock."""
|
||||
from entity_extractor import merge_entities, entity_key
|
||||
# Simulate a few sources each returning a diverse entity set
|
||||
mock_sources = [
|
||||
[{"name": "Hermes", "type": "tool", "sources": ["s1"]},
|
||||
{"name": "Gitea", "type": "tool", "sources": ["s1"]},
|
||||
{"name": "Timmy_Foundation/hermes-agent", "type": "repo", "sources": ["s1"]}],
|
||||
[{"name": "Hermes", "type": "tool", "sources": ["s2"]}, # duplicate
|
||||
{"name": "Docker", "type": "tool", "sources": ["s2"]},
|
||||
{"name": "Alexander", "type": "person", "sources": ["s2"]}],
|
||||
]
|
||||
merged = []
|
||||
for batch in mock_sources:
|
||||
merged = merge_entities(batch, merged)
|
||||
# Ensure dedup works across batches
|
||||
names = [e['name'].lower() for e in merged]
|
||||
assert names.count('hermes') == 1
|
||||
assert len(merged) == 4 # Hermes, Gitea, repo, Docker, Alexander
|
||||
|
||||
# The real LLM extraction test would require live API key; skip in CI
|
||||
Reference in New Issue
Block a user