Compare commits
1 Commits
step35/113
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step35/91-
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b1a728f5f4 |
@@ -1,249 +0,0 @@
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#!/usr/bin/env python3
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"""
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Security Patch Applier — 5.7
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Detects outdated dependencies, creates a branch, updates requirements,
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runs tests, and opens a PR via Gitea API.
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Usage:
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python3 scripts/security_patch_applier.py
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python3 scripts/security_patch_applier.py --dry-run # Preview changes without PR
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python3 scripts/security_patch_applier.py --pkg pytest # Target specific package
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Acceptance:
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- Detects security update (checks pip list --outdated)
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- Creates branch (git checkout -b step35/security/patch-<pkg>-<ver>)
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- Updates dependency (modifies requirements.txt)
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- Runs tests (python3 -m pytest)
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- Opens PR (Gitea API, Closes #<issue>)
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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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import urllib.request
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from pathlib import Path
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from typing import Optional, Tuple
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REPO_ROOT = Path(__file__).resolve().parent.parent
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REQUIREMENTS_PATH = REPO_ROOT / "requirements.txt"
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GITEA_TOKEN_PATH = Path.home() / ".config" / "gitea" / "token"
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GITEA_API_BASE = "https://forge.alexanderwhitestone.com/api/v1"
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GITEA_OWNER = "Timmy_Foundation"
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GITEA_REPO = "compounding-intelligence"
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def run_cmd(cmd: list[str], check: bool = True, capture: bool = True) -> subprocess.CompletedProcess:
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"""Run a subprocess, return result."""
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result = subprocess.run(
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cmd,
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cwd=REPO_ROOT,
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capture_output=capture,
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text=True
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)
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if check and result.returncode != 0:
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print(f"ERROR: {' '.join(cmd)} failed with code {result.returncode}")
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print(result.stderr)
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sys.exit(result.returncode)
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return result
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def get_outdated_packages() -> list[dict]:
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"""Return list of outdated packages from pip list --outdated."""
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result = run_cmd([sys.executable, "-m", "pip", "list", "--outdated", "--format=json"])
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outdated = json.loads(result.stdout)
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return outdated
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def parse_requirements() -> list[Tuple[str, str]]:
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"""Parse requirements.txt into list of (raw_line, package_name_lower)."""
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if not REQUIREMENTS_PATH.exists():
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print(f"ERROR: requirements.txt not found at {REQUIREMENTS_PATH}")
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sys.exit(1)
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lines = REQUIREMENTS_PATH.read_text().splitlines()
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parsed = []
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for line in lines:
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stripped = line.strip()
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if not stripped or stripped.startswith('#'):
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continue
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# Extract package name before any version specifier
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pkg_name = stripped.split()[0].split('>=')[0].split('==')[0].split('~=')[0].split('<')[0].split('>')[0].lower()
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parsed.append((stripped, pkg_name))
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return parsed
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def update_requirements(package: str, new_version: str) -> bool:
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"""Update the version specifier for package in requirements.txt. Return True if changed."""
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lines = REQUIREMENTS_PATH.read_text().splitlines()
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updated = False
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new_lines = []
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for line in lines:
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stripped = line.strip()
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if not stripped or stripped.startswith('#'):
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new_lines.append(line)
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continue
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# Check if this line contains the target package
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pkg_name = stripped.split()[0].split('>=')[0].split('==')[0].split('~=')[0].split('<')[0].split('>')[0].lower()
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if pkg_name == package.lower():
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# Replace version spec with new version using >=
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old_line = line
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# Preserve original package name case
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original_pkg = stripped.split()[0]
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new_line = f"{original_pkg}>={new_version}"
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# Preserve any trailing comment
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if '#' in line:
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comment = line.split('#', 1)[1]
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new_line += f" #{comment}"
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new_lines.append(new_line)
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updated = True
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else:
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new_lines.append(line)
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if updated:
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REQUIREMENTS_PATH.write_text('\n'.join(new_lines) + '\n')
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return True
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return False
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def create_branch(branch_name: str) -> bool:
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"""Create and checkout a new branch."""
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# Check if branch already exists
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result = run_cmd(["git", "branch", "--list", branch_name], check=False)
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if result.stdout.strip():
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print(f"Branch {branch_name} already exists.")
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return False
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result = run_cmd(["git", "checkout", "-b", branch_name])
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return True
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def run_tests() -> bool:
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"""Run pytest. Return True if all pass."""
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print("\nRunning tests...")
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result = run_cmd([sys.executable, "-m", "pytest", "tests/test_ci_config.py", "scripts/test_*.py", "-v"], check=False)
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return result.returncode == 0
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def get_gitea_token() -> str:
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"""Read Gitea token from file."""
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if not GITEA_TOKEN_PATH.exists():
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print(f"ERROR: Gitea token not found at {GITEA_TOKEN_PATH}")
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sys.exit(1)
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return GITEA_TOKEN_PATH.read_text().strip()
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def create_gitea_pr(title: str, body: str, head: str, base: str = "main") -> int:
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"""Create a pull request via Gitea API. Return PR number."""
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token = get_gitea_token()
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payload = json.dumps({
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"title": title,
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"body": body,
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"head": head,
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"base": base
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}).encode('utf-8')
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url = f"{GITEA_API_BASE}/repos/{GITEA_OWNER}/{GITEA_REPO}/pulls"
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req = urllib.request.Request(
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url,
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data=payload,
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headers={
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"Authorization": f"token {token}",
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"Content-Type": "application/json",
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"Accept": "application/json"
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},
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method="POST"
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)
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try:
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with urllib.request.urlopen(req, timeout=15) as resp:
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data = json.loads(resp.read())
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return data["number"]
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except urllib.error.HTTPError as e:
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body = e.read().decode('utf-8')
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print(f"ERROR: Gitea API returned {e.code}: {body}")
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sys.exit(1)
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def main():
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parser = argparse.ArgumentParser(description="Security Patch Applier — detect, fix, PR")
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parser.add_argument("--dry-run", action="store_true", help="Preview without modifying files or opening PR")
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parser.add_argument("--pkg", help="Target specific package (skip detection)")
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parser.add_argument("--version", help="Specific version to update to (requires --pkg)")
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args = parser.parse_args()
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# Step 1: Detect outdated packages (security patches)
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if args.pkg:
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# Manual mode
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if not args.version:
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print("ERROR: --version required when using --pkg")
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sys.exit(1)
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outdated = [{"name": args.pkg, "latest_version": args.version, "version": "unknown"}]
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else:
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print("Checking for outdated dependencies...")
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outdated = get_outdated_packages()
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if not outdated:
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print("No outdated packages found. System is up-to-date.")
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sys.exit(0)
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print(f"Found {len(outdated)} outdated package(s):")
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for pkg in outdated:
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print(f" {pkg['name']}: {pkg.get('version', 'unknown')} → {pkg['latest_version']}")
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# Pick first package for smallest fix (can loop for multiple)
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target = outdated[0]
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pkg_name = target["name"]
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latest_ver = target["latest_version"]
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current_ver = target.get("version", "unknown")
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print(f"\nProcessing security patch for: {pkg_name} ({current_ver} → {latest_ver})")
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if args.dry_run:
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print("[DRY-RUN] Would create branch, update requirements, run tests, and open PR.")
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sys.exit(0)
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# Step 2: Create branch
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branch_name = f"step35/security/patch-{pkg_name}-{latest_ver}"
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print(f"\nCreating branch: {branch_name}")
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if not create_branch(branch_name):
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print(f"Branch {branch_name} already exists or could not be created.")
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# Continue anyway? Let's exit
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sys.exit(1)
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# Step 3: Update requirements.txt
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print(f"Updating {REQUIREMENTS_PATH} to {pkg_name}>={latest_ver}")
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if not update_requirements(pkg_name, latest_ver):
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print(f"ERROR: Failed to update {pkg_name} in requirements.txt")
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sys.exit(1)
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print(f"Updated requirements.txt")
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# Step 4: Run tests
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if not run_tests():
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print("ERROR: Tests failed. Aborting PR creation.")
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# Could revert branch? For minimal fix, just exit with error
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sys.exit(1)
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print("Tests passed.")
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# Step 5: Commit changes
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commit_msg = f"security: update {pkg_name} to {latest_ver}\n\nDetected outdated dependency via pip list --outdated.\n\nRefs: #113"
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run_cmd(["git", "add", "requirements.txt"])
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run_cmd(["git", "commit", "-m", commit_msg])
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# Step 6: Push branch
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print(f"\nPushing branch {branch_name}...")
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result = run_cmd(["git", "push", "origin", branch_name], check=False)
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if result.returncode != 0:
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print(f"ERROR: Push failed: {result.stderr}")
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sys.exit(1)
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# Step 7: Open PR
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pr_title = f"security: update {pkg_name} to {latest_ver}"
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pr_body = (
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f"Automated security patch for **{pkg_name}**.\n\n"
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f"**Current version:** {current_ver}\n"
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f"**Latest version:** {latest_ver}\n\n"
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f"Detected by `pip list --outdated`. Tests passed locally.\n\n"
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f"Closes #113"
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)
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pr_num = create_gitea_pr(pr_title, pr_body, branch_name)
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print(f"\nPR #{pr_num} created: https://forge.alexanderwhitestone.com/{GITEA_OWNER}/{GITEA_REPO}/pulls/{pr_num}")
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if __name__ == "__main__":
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main()
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@@ -22,114 +22,95 @@ import sys
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from pathlib import Path
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from typing import Optional
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from session_reader import extract_conversation, read_session
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def compute_hash(text: str) -> str:
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"""Content hash for deduplication."""
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return hashlib.sha256(text.encode()).hexdigest()[:16]
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def extract_pairs_from_session(session_data: dict, min_ratio: float = 1.5,
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def extract_pairs_from_conversation(conversation: list, session_id: str, model: str,
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min_ratio: float = 1.5,
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min_response_words: int = 20) -> list:
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"""Extract terse→rich pairs from a single session object."""
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"""Extract terse→rich pairs from a normalized conversation."""
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pairs = []
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conversations = session_data.get("conversations", [])
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session_id = session_data.get("id", "unknown")
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model = session_data.get("model", "unknown")
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seen_hashes = set()
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for i, msg in enumerate(conversations):
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# Look for assistant/gpt responses
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if msg.get("from") not in ("gpt", "assistant"):
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for i, msg in enumerate(conversation):
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# Look for assistant responses
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if msg.get('role') != 'assistant':
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continue
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response_text = msg.get("value", "")
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response_text = msg.get('content', '')
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if not response_text or len(response_text.split()) < min_response_words:
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continue
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# Find the preceding human message
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# Find the preceding user message
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prompt_text = ""
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for j in range(i - 1, -1, -1):
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if conversations[j].get("from") == "human":
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prompt_text = conversations[j].get("value", "")
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if conversation[j].get('role') == 'user':
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prompt_text = conversation[j].get('content', '')
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break
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if not prompt_text:
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continue
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# Filter: skip tool results, system messages embedded as human
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if prompt_text.startswith("{") and "output" in prompt_text[:100]:
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continue # likely a tool result
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if prompt_text.startswith("# SOUL.md") or prompt_text.startswith("You are"):
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continue # system prompt leak
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if prompt_text.startswith('{') and 'output' in prompt_text[:100]:
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continue
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if prompt_text.startswith('# SOUL.md') or prompt_text.startswith('You are'):
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continue
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# Quality filters
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prompt_words = len(prompt_text.split())
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response_words = len(response_text.split())
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# Must have meaningful length ratio
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if prompt_words == 0 or response_words == 0:
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continue
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ratio = response_words / prompt_words
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if ratio < min_ratio:
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continue
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|
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# Skip responses that are mostly code
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code_blocks = response_text.count("```")
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if code_blocks >= 4 and len(response_text.replace("```", "").strip()) < 50:
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code_blocks = response_text.count('```')
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if code_blocks >= 4 and len(response_text.replace('```', '').strip()) < 50:
|
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continue
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|
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# Skip responses with tool call artifacts
|
||||
if "tool_call" in response_text[:100] or "function_call" in response_text[:100]:
|
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if 'tool_call' in response_text[:100] or 'function_call' in response_text[:100]:
|
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continue
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|
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# Deduplicate by content hash
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content_hash = compute_hash(prompt_text + response_text[:200])
|
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if content_hash in seen_hashes:
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continue
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seen_hashes.add(content_hash)
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# Clean up response: remove markdown headers if too many
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clean_response = response_text
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pairs.append({
|
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"terse": prompt_text.strip(),
|
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"rich": clean_response.strip(),
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"source": session_id,
|
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"model": model,
|
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"prompt_words": prompt_words,
|
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"response_words": response_words,
|
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"ratio": round(ratio, 2),
|
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'terse': prompt_text.strip(),
|
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'rich': clean_response.strip(),
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'source': session_id,
|
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'model': model,
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'prompt_words': prompt_words,
|
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'response_words': response_words,
|
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'ratio': round(ratio, 2),
|
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})
|
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|
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return pairs
|
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|
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|
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def extract_from_jsonl_file(filepath: str, **kwargs) -> list:
|
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"""Extract pairs from a session JSONL file."""
|
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pairs = []
|
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path = Path(filepath)
|
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|
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if not path.exists():
|
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print(f"Warning: {filepath} not found", file=sys.stderr)
|
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return pairs
|
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|
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content = path.read_text()
|
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lines = content.strip().split("\n")
|
||||
|
||||
for line in lines:
|
||||
line = line.strip()
|
||||
if not line:
|
||||
continue
|
||||
try:
|
||||
session = json.loads(line)
|
||||
except json.JSONDecodeError:
|
||||
continue
|
||||
|
||||
session_pairs = extract_pairs_from_session(session, **kwargs)
|
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pairs.extend(session_pairs)
|
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|
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return pairs
|
||||
def extract_from_jsonl_file(path: str, **kwargs) -> list:
|
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"""Read a session file and extract training pairs using normalized conversation."""
|
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session_messages = read_session(path)
|
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if not session_messages:
|
||||
return []
|
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conversation = extract_conversation(session_messages)
|
||||
# Derive session_id and model from first real message metadata
|
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first_msg = next((m for m in session_messages if m.get('role') or m.get('from')), {})
|
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session_id = first_msg.get('meta_session_id', Path(path).name)
|
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model = first_msg.get('model', 'unknown')
|
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return extract_pairs_from_conversation(conversation, session_id, model, **kwargs)
|
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|
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|
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def deduplicate_pairs(pairs: list) -> list:
|
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|
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@@ -1,21 +0,0 @@
|
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#!/usr/bin/env python3
|
||||
"""Smoke test for security_patch_applier — verifies module imports and argument parsing."""
|
||||
import subprocess
|
||||
import sys
|
||||
|
||||
def test_imports():
|
||||
import security_patch_applier
|
||||
assert hasattr(security_patch_applier, 'main')
|
||||
|
||||
def test_help():
|
||||
result = subprocess.run(
|
||||
[sys.executable, 'scripts/security_patch_applier.py', '--help'],
|
||||
capture_output=True, text=True
|
||||
)
|
||||
assert result.returncode == 0
|
||||
assert 'Security Patch Applier' in result.stdout or '--dry-run' in result.stdout
|
||||
|
||||
if __name__ == '__main__':
|
||||
test_imports()
|
||||
test_help()
|
||||
print("OK")
|
||||
118
tests/test_session_pair_harvester.py
Normal file
118
tests/test_session_pair_harvester.py
Normal file
@@ -0,0 +1,118 @@
|
||||
"""
|
||||
Tests for session_pair_harvester — training pair extraction from sessions.
|
||||
"""
|
||||
|
||||
import json
|
||||
import tempfile
|
||||
import unittest
|
||||
from pathlib import Path
|
||||
|
||||
import sys
|
||||
from pathlib import Path
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent / "scripts"))
|
||||
from session_pair_harvester import (
|
||||
extract_pairs_from_conversation,
|
||||
extract_from_jsonl_file,
|
||||
deduplicate_pairs,
|
||||
compute_hash,
|
||||
)
|
||||
|
||||
|
||||
class TestSessionPairHarvester(unittest.TestCase):
|
||||
def test_compute_hash_consistent(self):
|
||||
h1 = compute_hash("hello world")
|
||||
h2 = compute_hash("hello world")
|
||||
self.assertEqual(h1, h2)
|
||||
self.assertEqual(len(h1), 16)
|
||||
|
||||
def test_extract_simple_qa_pair(self):
|
||||
"""A simple user→assistant exchange produces one pair."""
|
||||
conversation = [
|
||||
{"role": "user", "content": "What is the capital of France?"},
|
||||
{"role": "assistant", "content": "The capital of France is Paris. It is a major European city renowned for its art, fashion, gastronomy, cultural heritage, and historical significance. The city attracts millions of tourists annually."},
|
||||
]
|
||||
pairs = extract_pairs_from_conversation(conversation, "test_session", "test-model")
|
||||
self.assertEqual(len(pairs), 1)
|
||||
self.assertEqual(pairs[0]["terse"], "What is the capital of France?")
|
||||
self.assertIn("Paris", pairs[0]["rich"])
|
||||
self.assertEqual(pairs[0]["source"], "test_session")
|
||||
|
||||
def test_min_ratio_filter(self):
|
||||
"""Very short responses are filtered out."""
|
||||
conversation = [
|
||||
{"role": "user", "content": "Yes"},
|
||||
{"role": "assistant", "content": "No."},
|
||||
]
|
||||
# Default min_ratio = 1.5, min_words = 20 for response
|
||||
pairs = extract_pairs_from_conversation(conversation, "s", "m", min_response_words=3)
|
||||
self.assertEqual(len(pairs), 0)
|
||||
|
||||
def test_min_words_filter(self):
|
||||
"""Assistant responses below min word count are skipped."""
|
||||
conversation = [
|
||||
{"role": "user", "content": "Explain the project architecture in detail"},
|
||||
{"role": "assistant", "content": "OK."},
|
||||
]
|
||||
pairs = extract_pairs_from_conversation(conversation, "s", "m", min_response_words=5)
|
||||
self.assertEqual(len(pairs), 0)
|
||||
|
||||
def test_skip_non_assistant_messages(self):
|
||||
"""System and tool messages are ignored."""
|
||||
conversation = [
|
||||
{"role": "system", "content": "You are a helpful assistant."},
|
||||
{"role": "user", "content": "Hello"},
|
||||
{"role": "assistant", "content": "Hi there! How can I help you today?"},
|
||||
]
|
||||
pairs = extract_pairs_from_conversation(conversation, "s", "m", min_response_words=3)
|
||||
self.assertEqual(len(pairs), 1)
|
||||
self.assertEqual(pairs[0]["terse"], "Hello")
|
||||
|
||||
def test_multiple_pairs_from_one_session(self):
|
||||
"""A conversation with several Q&A turns yields multiple pairs."""
|
||||
conversation = [
|
||||
{"role": "user", "content": "First question?"},
|
||||
{"role": "assistant", "content": "Here is a detailed and comprehensive answer that thoroughly explores multiple aspects of the subject. It provides background context and practical implications for the reader."},
|
||||
{"role": "user", "content": "Second?"},
|
||||
{"role": "assistant", "content": "Another comprehensive response with detailed examples. This includes practical code blocks and thorough explanations to ensure deep understanding of the topic at hand."},
|
||||
]
|
||||
pairs = extract_pairs_from_conversation(conversation, "s", "m", min_ratio=1.0)
|
||||
self.assertEqual(len(pairs), 2)
|
||||
|
||||
def test_deduplication_removes_duplicates(self):
|
||||
"""Identical pairs across sessions are deduplicated."""
|
||||
pairs = [
|
||||
{"terse": "q1", "rich": "a1", "source": "s1", "model": "m"},
|
||||
{"terse": "q1", "rich": "a1", "source": "s2", "model": "m"},
|
||||
{"terse": "q2", "rich": "a2", "source": "s1", "model": "m"},
|
||||
]
|
||||
unique = deduplicate_pairs(pairs)
|
||||
self.assertEqual(len(unique), 2)
|
||||
sources = {p["source"] for p in unique}
|
||||
# First unique pair can be from either s1 or s2
|
||||
self.assertIn("s1", sources)
|
||||
|
||||
def test_integration_with_test_sessions(self):
|
||||
"""Harvester finds pairs in real test session files."""
|
||||
repo_root = Path(__file__).parent.parent
|
||||
test_sessions_dir = repo_root / "test_sessions"
|
||||
if not test_sessions_dir.exists():
|
||||
self.skipTest("test_sessions not found")
|
||||
|
||||
pairs = []
|
||||
for jsonl_file in sorted(test_sessions_dir.glob("*.jsonl")):
|
||||
pairs.extend(extract_from_jsonl_file(str(jsonl_file)))
|
||||
|
||||
self.assertGreater(len(pairs), 0, "Should extract at least one pair from test_sessions")
|
||||
for p in pairs:
|
||||
self.assertIn("terse", p)
|
||||
self.assertIn("rich", p)
|
||||
self.assertIn("source", p)
|
||||
self.assertIn("model", p)
|
||||
# Verify content exists
|
||||
self.assertGreater(len(p["terse"]), 0)
|
||||
self.assertGreater(len(p["rich"]), 0)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
unittest.main()
|
||||
|
||||
Reference in New Issue
Block a user