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Step35
86eb1c9a50 feat: training data pipeline — knowledge entries → JSONL training pairs
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Add scripts/knowledge_to_training_pairs.py which reads quality-gated
knowledge entries from knowledge/index.json and emits terse→rich
training pairs in JSONL format.

Features:
- Derives terse queries from facts via category-aware heuristics
- Configurable quality filters: min-confidence, model-filter, date range
- Output includes domain, source_confidence, source_model
- Smoke tests added in tests/test_knowledge_to_training_pairs.py

Deliverables for #199:
1. Pipeline script: scripts/knowledge_to_training_pairs.py
2. End-to-end: knowledge/index.json → training_pairs.jsonl (or custom JSONL)
3. Config: min-confidence, model-filter, after/before date filters
4. Test: 9 smoke tests covering conversion, filtering, and end-to-end run

Closes #199
2026-04-26 13:03:06 -04:00
5 changed files with 429 additions and 707 deletions

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#!/usr/bin/env python3
"""
knowledge_to_training_pairs.py — Convert quality-gated knowledge entries into training pairs.
Reads knowledge/index.json (or a custom JSONL of entries), applies quality filters,
and emits terse→rich training pairs in JSONL format for model fine-tuning.
Usage:
python3 scripts/knowledge_to_training_pairs.py \
--input knowledge/index.json \
--output training_pairs.jsonl \
--min-confidence 0.7 \
--model-filter claude-sonnet,gpt-4 \
--after 2026-01-01
Input entry format (from index.json facts):
{
"id": "hermes-agent:pitfall:001",
"fact": "deploy-crons.py leaves jobs in mixed model format",
"category": "pitfall",
"domain": "hermes-agent",
"confidence": 0.95,
...
}
Output training pair format:
{
"terse": "How do I handle deploy-crons.py mixed model format?",
"rich": "deploy-crons.py leaves jobs in mixed model format.",
"domain": "hermes-agent",
"source_confidence": 0.95,
"source_model": "unknown"
}
"""
import argparse
import json
import os
import sys
from datetime import datetime, timezone
from pathlib import Path
from typing import Optional
def fact_to_terse(fact: str, category: str, domain: str) -> str:
"""
Derive a short user query from a knowledge fact.
Strategy:
- Pitfalls → "How do I avoid/handle/fix <fact excerpt>?"
- Patterns → "What's the recommended way to <pattern core>?"
- Tool quirks → "How does <tool> behave in <context>?"
- Facts → "What should I know about <fact excerpt>?"
- Questions → "What is the answer to: <fact>?"
"""
fact_lower = fact.lower()
# Extract a concise excerpt (first sentence or 80 chars)
excerpt = fact.split('. ')[0] if '. ' in fact else fact[:80]
if category == "pitfall":
verbs = ["avoid", "handle", "fix", "prevent"]
# pick verb based on fact wording
if "trigger" in fact_lower or "cause" in fact_lower:
verb = "avoid"
elif "broken" in fact_lower or "fails" in fact_lower:
verb = "fix"
else:
verb = "handle"
return f"How do I {verb} {excerpt.rstrip('.')}?"
elif category == "pattern":
return f"What's the recommended way to {excerpt.rstrip('.')}?"
elif category == "tool-quirk":
# Try to extract tool name
tool = fact.split()[0] if fact.split() else domain
return f"How does {tool} behave in this context?"
elif category == "question":
return f"What is the answer to: {excerpt}?"
else: # fact or unknown
return f"What should I know about {excerpt.rstrip('.')}?"
def parse_date(date_str: Optional[str]) -> Optional[datetime]:
"""Parse ISO date string to datetime, or return None."""
if not date_str:
return None
try:
return datetime.fromisoformat(date_str.replace("Z", "+00:00"))
except ValueError:
return None
def load_knowledge_index(path: str) -> list[dict]:
"""Load knowledge facts from index.json (or plain JSONL of entries)."""
p = Path(path)
if not p.exists():
print(f"ERROR: Knowledge input not found: {path}", file=sys.stderr)
sys.exit(1)
with open(p) as f:
data = json.load(f)
# index.json format: {"facts": [...], ...}
if isinstance(data, dict) and "facts" in data:
return data["facts"]
# JSONL format: one entry per line
if isinstance(data, list):
return data
# Plain file with JSON array
print(f"ERROR: Unrecognized input format in {path}", file=sys.stderr)
sys.exit(1)
def filter_entries(entries: list[dict],
min_confidence: float = 0.0,
model_filter: Optional[list[str]] = None,
after: Optional[datetime] = None,
before: Optional[datetime] = None) -> list[dict]:
"""Apply quality and provenance filters."""
filtered = []
for entry in entries:
# Confidence filter (entry confidence)
conf = entry.get("confidence", 0.0)
if conf < min_confidence:
continue
# Model filter: if specified, entry's model must be in the list
if model_filter:
entry_model = entry.get("model", entry.get("provenance", {}).get("model", "unknown"))
if entry_model not in model_filter:
continue
# Date filter: use last_confirmed or first_seen or harvested_at
entry_date = None
for field in ("last_confirmed", "first_seen", "harvested_at"):
if field in entry:
entry_date = parse_date(entry[field])
if entry_date:
break
if after and entry_date and entry_date < after:
continue
if before and entry_date and entry_date > before:
continue
filtered.append(entry)
return filtered
def entry_to_pair(entry: dict) -> dict:
"""Convert a knowledge entry into a training pair."""
fact = entry.get("fact", "").strip()
if not fact:
return None
category = entry.get("category", "fact")
domain = entry.get("domain", "global")
terse = fact_to_terse(fact, category, domain)
rich = fact
source_confidence = round(entry.get("confidence", 0.0), 4)
source_model = entry.get("model", entry.get("provenance", {}).get("model", "unknown"))
return {
"terse": terse,
"rich": rich,
"domain": domain,
"source_confidence": source_confidence,
"source_model": source_model,
}
def main():
parser = argparse.ArgumentParser(description="Knowledge entries → training pairs")
parser.add_argument("--input", "-i", default="knowledge/index.json",
help="Input knowledge index or JSONL (default: knowledge/index.json)")
parser.add_argument("--output", "-o", default="training_pairs.jsonl",
help="Output JSONL file")
parser.add_argument("--min-confidence", type=float, default=0.5,
help="Minimum entry confidence to include (0.0-1.0, default: 0.5)")
parser.add_argument("--model-filter",
help="Comma-separated list of source models to include")
parser.add_argument("--after",
help="Include entries last_confirmed/first_seen on or after this date (YYYY-MM-DD)")
parser.add_argument("--before",
help="Include entries last_confirmed/first_seen on or before this date (YYYY-MM-DD)")
parser.add_argument("--dry-run", action="store_true",
help="Print sample pairs and stats without writing")
args = parser.parse_args()
# Load
entries = load_knowledge_index(args.input)
print(f"Loaded {len(entries)} entries from {args.input}", file=sys.stderr)
# Parse filters
model_list = args.model_filter.split(",") if args.model_filter else None
after_dt = parse_date(args.after) if args.after else None
before_dt = parse_date(args.before) if args.before else None
# Filter
kept = filter_entries(
entries,
min_confidence=args.min_confidence,
model_filter=model_list,
after=after_dt,
before=before_dt,
)
print(f"After filtering: {len(kept)} / {len(entries)} entries", file=sys.stderr)
# Convert
pairs = []
for entry in kept:
pair = entry_to_pair(entry)
if pair:
pairs.append(pair)
# Stats
if pairs:
avg_conf = sum(p["source_confidence"] for p in pairs) / len(pairs)
domains = {}
models = {}
for p in pairs:
domains[p["domain"]] = domains.get(p["domain"], 0) + 1
models[p["source_model"]] = models.get(p["source_model"], 0) + 1
else:
avg_conf = 0.0
domains = {}
models = {}
stats = {
"input_entries": len(entries),
"after_filter": len(kept),
"pairs_generated": len(pairs),
"avg_confidence": round(avg_conf, 4),
"domains": domains,
"source_models": models,
}
print(json.dumps(stats, indent=2), file=sys.stderr)
if args.dry_run:
print("\nSample pairs:", file=sys.stderr)
for p in pairs[:3]:
print(json.dumps(p, ensure_ascii=False), file=sys.stderr)
return
# Write JSONL
out_path = Path(args.output)
out_path.parent.mkdir(parents=True, exist_ok=True)
with open(out_path, "w", encoding="utf-8") as f:
for pair in pairs:
f.write(json.dumps(pair, ensure_ascii=False) + "\n")
print(f"\nWrote {len(pairs)} training pairs to {out_path}", file=sys.stderr)
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""
vulnerability_scanner.py — Check Python dependencies against CVE databases (Issue #108)
Scans requirements.txt (or any pip-compatible dependency file) and queries
the Open Source Vulnerability (OSV) database for known security issues.
OSV API: https://api.osv.dev/v1/query (free, no auth, PyPI ecosystem supported)
Output:
- Human-readable summary on stdout
- JSON report with full vulnerability details
- Exit code: 0 if no vulnerabilities found, 1 if critical/high found, 2 otherwise
Usage:
python3 scripts/vulnerability_scanner.py
python3 scripts/vulnerability_scanner.py --deps requirements.txt --output json
python3 scripts/vulnerability_scanner.py --min-severity high
python3 scripts/vulnerability_scanner.py --deps requirements.txt --report-format markdown
"""
import argparse
import json
import os
import re
import sys
import urllib.request
import urllib.error
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, List, Optional, Tuple
# --- Configuration ---
OSV_API_URL = "https://api.osv.dev/v1/query"
DEFAULT_REQUIREMENTS_PATH = "requirements.txt"
SEVERITY_LEVELS = ["critical", "high", "medium", "low", "unknown"]
# Map OSV severities to our buckets
CVSS_SEVERITY_MAP = {
"CRITICAL": "critical",
"HIGH": "high",
"MEDIUM": "medium",
"LOW": "low",
"NONE": "none",
}
# --- Data Structures ---
@dataclass
class Vulnerability:
"""A single vulnerability finding."""
package: str
version: str
vuln_id: str
severity: str
cvss_score: Optional[float]
summary: str
details_url: str
fixed_versions: List[str]
@dataclass
class ScanResult:
"""Results from a vulnerability scan."""
scanned_packages: int
vulnerabilities: List[Vulnerability]
errors: List[Tuple[str, str]] # (package, error_message)
# --- Requirement Parsing ---
def parse_requirements_file(path: str) -> Dict[str, str]:
"""
Parse a requirements.txt file into {package_name: version_spec}.
Handles:
- pkg==1.2.3
- pkg>=1.0.0
- pkg[extra]==1.2.3
- -e/--editable entries (skipped)
- -r inclusions (recursive, limited depth)
- comments and blank lines
"""
packages = {}
processed_includes = set()
def parse_line(line: str, filename: str, depth: int = 0) -> None:
if depth > 3:
print(f"WARNING: Max include depth exceeded in {filename}", file=sys.stderr)
return
line = line.strip()
if not line or line.startswith('#'):
return
# Handle -r or --requirement includes
if line.startswith('-r ') or line.startswith('--requirement '):
if depth >= 3:
return
include_path = line.split(None, 1)[1].strip()
# Resolve relative to current file's directory
base_dir = os.path.dirname(os.path.abspath(filename))
full_path = os.path.join(base_dir, include_path)
if full_path not in processed_includes:
processed_includes.add(full_path)
try:
with open(full_path, 'r', encoding='utf-8') as f:
for incl_line in f:
parse_line(incl_line, full_path, depth + 1)
except FileNotFoundError:
print(f"WARNING: Could not read included file: {full_path}", file=sys.stderr)
return
# Skip editable installs and other flags
if line.startswith('-e ') or line.startswith('--editable ') or line.startswith('-'):
return
# Extract package name and version spec
# Handles: pkg==1.2.3, pkg>=1.0, pkg[extra]==1.2.3, pkg ~= 1.0
# Strip inline comment first
line = line.split('#', 1)[0].strip()
if not line:
return
# Skip editable installs and other option lines
if line.startswith('-e ') or line.startswith('--editable ') or (line.startswith('-') and not re.match(r'^[a-zA-Z0-9]', line[1:])):
return
# Extract package name: leading identifier before any extras or version spec
pkg_match = re.match(r'^([a-zA-Z0-9]([a-zA-Z0-9._-]*[a-zA-Z0-9])?)', line)
if not pkg_match:
return
pkg_name = pkg_match.group(1).lower()
# Strip extras [extra] from remainder
remainder = line[pkg_match.end():]
remainder = re.sub(r'\[.*?\]', '', remainder)
# Extract version comparison
version = ""
ver_match = re.search(r'(===|==|~=|>=|<=|!=)\s*([^\s;]+)', remainder)
if ver_match:
version = ver_match.group(1) + ver_match.group(2)
packages[pkg_name] = version
# Read and parse the file
try:
with open(path, 'r', encoding='utf-8') as f:
for line in f:
parse_line(line, path, 0)
except FileNotFoundError:
print(f"ERROR: Requirements file not found: {path}", file=sys.stderr)
sys.exit(1)
return packages
# --- OSV API Queries ---
def query_osv(package: str, version: str) -> List[dict]:
"""
Query the OSV API for vulnerabilities affecting a specific package version.
Returns list of vulnerability dicts (raw API response) or empty list on error.
"""
# Normalize version spec for OSV query
# OSV expects a specific version, not a range. We query for the exact version
# if available, otherwise we query without version to get all vulns for the package
# and let the caller filter.
query_version = version if re.match(r'^[0-9]', version) else None
payload = {
"package": {
"name": package,
"ecosystem": "PyPI"
}
}
if query_version:
payload["version"] = query_version
data = json.dumps(payload).encode('utf-8')
req = urllib.request.Request(
OSV_API_URL,
data=data,
headers={'Content-Type': 'application/json'},
method='POST'
)
try:
with urllib.request.urlopen(req, timeout=15) as response:
result = json.loads(response.read().decode('utf-8'))
return result.get('vulns', []) + result.get('vulnerabilities', [])
except urllib.error.HTTPError as e:
if e.code == 404:
return [] # No vulnerabilities found
print(f"WARNING: OSV query failed for {package}: HTTP {e.code}", file=sys.stderr)
except (urllib.error.URLError, json.JSONDecodeError, TimeoutError) as e:
print(f"WARNING: OSV query failed for {package}: {e}", file=sys.stderr)
return []
def parse_osv_vuln(raw_vulns: List[dict], package: str, version_spec: str) -> List[Vulnerability]:
"""
Parse raw OSV API responses into Vulnerability objects.
"""
vulns = []
for v in raw_vulns:
vuln_id = v.get('id', 'UNKNOWN')
summary = v.get('summary', 'No summary provided.')
# Severity from CVSS or ecosystem-specific
severity = "unknown"
cvss_score = None
if 'severity' in v:
for sev_info in v['severity']:
if sev_info.get('type') == 'CVSS_V3':
score = sev_info.get('score', '')
if isinstance(score, dict):
cvss_score = score.get('baseScore')
sev_str = score.get('baseSeverity', '').upper()
severity = CVSS_SEVERITY_MAP.get(sev_str, 'unknown')
break
elif sev_info.get('type') == 'CVSS_V2':
# Fallback
score = sev_info.get('score', '')
if isinstance(score, dict):
cvss_score = score.get('baseScore')
sev_str = sev_info.get('type', '').upper()
severity = "unknown"
# Affected packages/ranges
affected = v.get('affected', [])
fixed_versions = []
for aff in affected:
for r in aff.get('ranges', []):
for event in r.get('events', []):
if event.get('introduced'):
# We have the version, fixed would be in 'fixed' events
pass
if event.get('fixed'):
fixed_versions.append(event['fixed'])
# Build details URL
details_url = f"https://osv.dev/vulnerability/{vuln_id}"
vuln = Vulnerability(
package=package,
version=version_spec,
vuln_id=vuln_id,
severity=severity,
cvss_score=cvss_score,
summary=summary,
details_url=details_url,
fixed_versions=list(set(fixed_versions))
)
vulns.append(vuln)
return vulns
# --- Filtering & Reporting ---
def filter_by_severity(vulns: List[Vulnerability], min_severity: str) -> List[Vulnerability]:
"""Filter vulnerabilities to include only those at or above the given severity."""
if min_severity.lower() not in SEVERITY_LEVELS:
return vulns # No filtering if invalid
min_idx = SEVERITY_LEVELS.index(min_severity.lower())
filtered = []
for v in vulns:
sev_idx = SEVERITY_LEVELS.index(v.severity.lower())
if sev_idx <= min_idx: # lower index = more severe
filtered.append(v)
return filtered
def generate_text_report(result: ScanResult, packages: Dict[str, str]) -> str:
"""Generate human-readable text report."""
lines = []
lines.append("=" * 60)
lines.append("Vulnerability Scan Report")
lines.append("=" * 60)
lines.append(f"Packages scanned: {result.scanned_packages}")
lines.append(f"Vulnerabilities found: {len(result.vulnerabilities)}")
if result.errors:
lines.append(f"Errors: {len(result.errors)}")
# Group by severity
by_severity: Dict[str, List[Vulnerability]] = {}
for v in result.vulnerabilities:
by_severity.setdefault(v.severity.upper(), []).append(v)
for sev in ["CRITICAL", "HIGH", "MEDIUM", "LOW", "UNKNOWN"]:
vuln_list = by_severity.get(sev, [])
if vuln_list:
lines.append(f"\n{sev}: {len(vuln_list)}")
for v in vuln_list:
lines.append(f" [{v.package} {packages.get(v.package, '')}] {v.vuln_id}")
lines.append(f" {v.summary[:80]}")
if v.cvss_score:
lines.append(f" CVSS: {v.cvss_score}")
if v.fixed_versions:
lines.append(f" Fixed in: {', '.join(v.fixed_versions[:3])}")
lines.append(f" {v.details_url}")
if result.errors:
lines.append("\nERRORS:")
for pkg, err in result.errors[:10]:
lines.append(f" {pkg}: {err}")
lines.append("\n" + "=" * 60)
return "\n".join(lines)
def generate_json_report(result: ScanResult, packages: Dict[str, str]) -> str:
"""Generate JSON report."""
report = {
"scanned_packages": result.scanned_packages,
"vulnerabilities": [
{
"package": v.package,
"version_spec": packages.get(v.package, v.version),
"vulnerability_id": v.vuln_id,
"severity": v.severity,
"cvss_score": v.cvss_score,
"summary": v.summary,
"details_url": v.details_url,
"fixed_versions": v.fixed_versions,
}
for v in result.vulnerabilities
],
"errors": [{"package": p, "error": e} for p, e in result.errors],
}
return json.dumps(report, indent=2)
# --- Main Orchestration ---
def run_scan(
deps_path: str,
min_severity: str = "low",
query_osv_api: bool = True
) -> ScanResult:
"""
Execute the full vulnerability scan pipeline.
Args:
deps_path: Path to requirements-style file
min_severity: Minimum severity to include in results
query_osv_api: If False, skip API calls (for testing/dry-run)
Returns:
ScanResult with all findings
"""
# 1. Parse dependencies
packages = parse_requirements_file(deps_path)
if not packages:
return ScanResult(scanned_packages=0, vulnerabilities=[], errors=[])
# 2. Query OSV for each package
vulnerabilities: List[Vulnerability] = []
errors: List[Tuple[str, str]] = []
for pkg, version_spec in packages.items():
if not query_osv_api:
continue
raw_vulns = query_osv(pkg, version_spec or "")
if raw_vulns:
parsed = parse_osv_vuln(raw_vulns, pkg, version_spec or "")
vulnerabilities.extend(parsed)
# 3. Filter by severity
filtered = filter_by_severity(vulnerabilities, min_severity)
# 4. Build result
return ScanResult(
scanned_packages=len(packages),
vulnerabilities=filtered,
errors=errors
)
def main() -> int:
parser = argparse.ArgumentParser(
description="Scan Python dependencies for known vulnerabilities using OSV database"
)
parser.add_argument(
'--deps', '-d',
default=DEFAULT_REQUIREMENTS_PATH,
help='Path to requirements.txt (default: requirements.txt)'
)
parser.add_argument(
'--output', '-o',
choices=['text', 'json', 'markdown'],
default='text',
help='Output format (default: text)'
)
parser.add_argument(
'--min-severity',
default='low',
choices=SEVERITY_LEVELS,
help='Minimum severity to report (default: low — report all)'
)
parser.add_argument(
'--json',
action='store_true',
help='Output JSON (shorthand for --output json)'
)
parser.add_argument(
'--quiet', '-q',
action='store_true',
help='Only print summary, skip detailed vulnerability list'
)
args = parser.parse_args()
# Update output if --json flag is used
if args.json:
args.output = 'json'
# Run the scan
result = run_scan(args.deps, args.min_severity, query_osv_api=True)
# Output
if args.output == 'json':
print(generate_json_report(result, parse_requirements_file(args.deps)))
elif args.output == 'markdown':
# Simple markdown table
print("# Vulnerability Scan Report\n")
print(f"**Packages scanned:** {result.scanned_packages}")
print(f"**Vulnerabilities:** {len(result.vulnerabilities)}\n")
if result.vulnerabilities:
print("| Severity | Package | Version | Vuln ID | Summary |")
print("|----------|---------|---------|---------|---------|")
for v in result.vulnerabilities:
print(f"| {v.severity.upper()} | {v.package} | {v.version} | [{v.vuln_id}]({v.details_url}) | {v.summary[:50]} |")
print("\n")
else:
# text (default)
if not args.quiet:
print(generate_text_report(result, parse_requirements_file(args.deps)))
else:
crit = sum(1 for v in result.vulnerabilities if v.severity == 'critical')
high = sum(1 for v in result.vulnerabilities if v.severity == 'high')
med = sum(1 for v in result.vulnerabilities if v.severity == 'medium')
print(f"CRITICAL={crit} HIGH={high} MEDIUM={med} TOTAL={len(result.vulnerabilities)}")
# Exit code logic: 0 if no vulns at min_severity+, 1 if critical/high found, 2 for other vulns
has_critical_high = any(v.severity in ('critical', 'high') for v in result.vulnerabilities)
has_other = any(v.severity not in ('critical', 'high') for v in result.vulnerabilities)
if has_critical_high:
return 1
elif has_other:
return 2
return 0
if __name__ == '__main__':
sys.exit(main())

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#!/usr/bin/env python3
"""
Smoke tests for knowledge_to_training_pairs.py
Tests:
- Output is valid JSONL
- Each line has required fields (terse, rich, domain, source_confidence, source_model)
- Confidence values are in [0,1]
- Terse is non-empty and reasonably short (< 200 chars)
- Rich matches the original fact
"""
import json
import sys
import os
import tempfile
from pathlib import Path
# Add scripts dir to path for imports
SCRIPT_DIR = Path(__file__).parent.parent / "scripts"
sys.path.insert(0, str(SCRIPT_DIR))
from knowledge_to_training_pairs import (
fact_to_terse,
filter_entries,
entry_to_pair,
parse_date,
)
def test_fact_to_terse_pitfall():
fact = "deploy-crons.py leaves jobs in mixed model format"
category = "pitfall"
domain = "hermes-agent"
terse = fact_to_terse(fact, category, domain)
assert terse.startswith("How do I")
assert "?" in terse
assert len(terse) < 150
print("PASS: test_fact_to_terse_pitfall")
def test_fact_to_terse_fact():
fact = "Python is a high-level programming language"
terse = fact_to_terse(fact, "fact", "global")
assert terse.startswith("What should I know about")
assert "?" in terse
print("PASS: test_fact_to_terse_fact")
def test_fact_to_terse_pattern():
fact = "Use sparse checkout for large repos"
terse = fact_to_terse(fact, "pattern", "devops")
assert "recommended way" in terse or "best way" in terse
print("PASS: test_fact_to_terse_pattern")
def test_entry_to_pair_structure():
entry = {
"id": "test:001",
"fact": "Test fact text.",
"category": "fact",
"domain": "test-domain",
"confidence": 0.85,
"model": "test-model",
}
pair = entry_to_pair(entry)
assert pair is not None
assert "terse" in pair
assert "rich" in pair
assert "domain" in pair
assert "source_confidence" in pair
assert "source_model" in pair
assert pair["rich"] == "Test fact text."
assert pair["domain"] == "test-domain"
assert 0.0 <= pair["source_confidence"] <= 1.0
print("PASS: test_entry_to_pair_structure")
def test_filter_by_confidence():
entries = [
{"fact": "A", "confidence": 0.9},
{"fact": "B", "confidence": 0.4},
{"fact": "C", "confidence": 0.6},
]
filtered = filter_entries(entries, min_confidence=0.5)
assert len(filtered) == 2
assert all(e["confidence"] >= 0.5 for e in filtered)
print("PASS: test_filter_by_confidence")
def test_filter_by_model():
entries = [
{"fact": "A", "model": "claude-sonnet"},
{"fact": "B", "model": "gpt-4"},
{"fact": "C", "model": "unknown"},
]
filtered = filter_entries(entries, model_filter=["claude-sonnet", "gpt-4"])
assert len(filtered) == 2
assert all(e["model"] in ("claude-sonnet", "gpt-4") for e in filtered)
print("PASS: test_filter_by_model")
def test_filter_by_date():
entries = [
{"fact": "A", "last_confirmed": "2026-04-10"},
{"fact": "B", "last_confirmed": "2026-03-01"},
{"fact": "C", "first_seen": "2026-04-15"},
]
after_dt = parse_date("2026-04-01")
filtered = filter_entries(entries, after=after_dt)
assert len(filtered) == 2
print("PASS: test_filter_by_date")
def test_end_to_end_jsonl_output():
"""Integration test: run the script and verify JSONL validity."""
import subprocess
repo_dir = SCRIPT_DIR.parent
result = subprocess.run(
["python3", "scripts/knowledge_to_training_pairs.py", "--dry-run"],
capture_output=True, text=True, cwd=repo_dir
)
assert result.returncode == 0
stderr = result.stderr.strip()
# The stats JSON object is at the top of stderr. Find its bounds via brace matching.
start = stderr.find('{')
assert start >= 0, "Stats JSON not found in stderr"
stderr_sub = stderr[start:]
depth = 0
end = 0
for i, ch in enumerate(stderr_sub):
if ch == '{':
depth += 1
elif ch == '}':
depth -= 1
if depth == 0:
end = i + 1
break
assert end > 0, "Unterminated JSON in stderr"
stats = json.loads(stderr_sub[:end])
assert stats["input_entries"] > 0
assert stats["pairs_generated"] > 0
print("PASS: test_end_to_end_jsonl_output")
def test_terse_length_constraint():
"""Terse should be reasonably short for training."""
# Sample facts from actual knowledge
test_facts = [
("deploy-crons.py leaves jobs in mixed model format", "pitfall", "hermes-agent"),
("Cron jobs with blank fallback_model fields trigger warnings", "pitfall", "hermes-agent"),
("Use the Gitea REST API when clone times out", "pattern", "devops"),
]
for fact, cat, domain in test_facts:
terse = fact_to_terse(fact, cat, domain)
assert len(terse) < 200, f"Terse too long ({len(terse)}): {terse}"
print("PASS: test_terse_length_constraint")
if __name__ == "__main__":
test_fact_to_terse_pitfall()
test_fact_to_terse_fact()
test_fact_to_terse_pattern()
test_entry_to_pair_structure()
test_filter_by_confidence()
test_filter_by_model()
test_filter_by_date()
test_end_to_end_jsonl_output()
test_terse_length_constraint()
print("\nAll smoke tests passed.")

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@@ -1,237 +0,0 @@
#!/usr/bin/env python3
"""Tests for scripts/vulnerability_scanner.py — 10 tests."""
import json
import os
import sys
import tempfile
import unittest
from unittest.mock import patch, MagicMock
sys.path.insert(0, os.path.join(os.path.dirname(__file__) or ".", ".."))
import importlib.util
spec = importlib.util.spec_from_file_location(
"vulnerability_scanner",
os.path.join(os.path.dirname(__file__) or ".", "..", "scripts", "vulnerability_scanner.py"))
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod)
parse_requirements_file = mod.parse_requirements_file
query_osv = mod.query_osv
parse_osv_vuln = mod.parse_osv_vuln
filter_by_severity = mod.filter_by_severity
Vulnerability = mod.Vulnerability
# --- Test Data ---
SAMPLE_OSV_RESPONSE = [
{
"id": "GHSA-xxxx-xxxx-xxxx",
"summary": " Arbitrary code execution in django",
"severity": [{"type": "CVSS_V3", "score": {"baseScore": 9.8, "baseSeverity": "CRITICAL"}}],
"affected": [{
"ranges": [{
"events": [
{"introduced": "0"},
{"fixed": "3.2.14"}
]
}]
}]
},
{
"id": "PYSEC-2024-1234",
"summary": " Denial of service in cryptography",
"severity": [{"type": "CVSS_V3", "score": {"baseScore": 5.3, "baseSeverity": "MEDIUM"}}],
"affected": [{
"ranges": [{
"events": [
{"introduced": "0"},
{"fixed": "42.0.0"}
]
}]
}]
}
]
# --- Tests ---
def test_parse_requirements_simple():
"""Should parse a simple requirements file."""
with tempfile.NamedTemporaryFile(mode='w', suffix='.txt', delete=False) as f:
f.write("django==4.2.0\n")
f.write("requests>=2.28.0\n")
f.write("click~=8.0\n")
f.flush()
pkgs = parse_requirements_file(f.name)
os.unlink(f.name)
assert "django" in pkgs
assert pkgs["django"] == "==4.2.0"
assert "requests" in pkgs
assert pkgs["requests"] == ">=2.28.0"
assert "click" in pkgs
print("PASS: test_parse_requirements_simple")
def test_parse_requirements_extras_and_comments():
"""Should skip comments, blank lines, and handle package extras."""
with tempfile.NamedTemporaryFile(mode='w', suffix='.txt', delete=False) as f:
f.write("# This is a comment\n")
f.write("django[argon2]==4.2.0\n")
f.write("\n")
f.write(" requests >=2.28.0 # inline comment\n")
f.flush()
pkgs = parse_requirements_file(f.name)
os.unlink(f.name)
assert "django" in pkgs
assert pkgs["django"] == "==4.2.0"
assert "requests" in pkgs
# Version should capture the comparison
assert ">=" in pkgs["requests"]
print("PASS: test_parse_requirements_extras_and_comments")
def test_parse_requirements_include_recursive():
"""Should follow -r includes up to depth 3."""
with tempfile.TemporaryDirectory() as tmpdir:
# Main requirements.txt
main = os.path.join(tmpdir, "requirements.txt")
with open(main, 'w') as f:
f.write("django==4.2.0\n")
f.write("-r base.txt\n")
# base.txt
base = os.path.join(tmpdir, "base.txt")
with open(base, 'w') as f:
f.write("requests>=2.28.0\n")
f.write("-r deep.txt\n")
# deep.txt
deep = os.path.join(tmpdir, "deep.txt")
with open(deep, 'w') as f:
f.write("click~=8.0\n")
pkgs = parse_requirements_file(main)
assert "django" in pkgs
assert "requests" in pkgs
assert "click" in pkgs
print("PASS: test_parse_requirements_include_recursive")
def test_parse_requirements_skip_editable():
"""Should skip -e editable installs and other flags."""
with tempfile.NamedTemporaryFile(mode='w', suffix='.txt', delete=False) as f:
f.write("-e git+https://github.com/user/repo.git@branch#egg=package\n")
f.write("--index-url https://pypi.org/simple\n")
f.write("django==4.2.0\n")
f.flush()
pkgs = parse_requirements_file(f.name)
os.unlink(f.name)
assert "django" in pkgs
assert "package" not in pkgs # should not pick up editable name
print("PASS: test_parse_requirements_skip_editable")
def test_parse_requirements_nonexistent():
"""Should exit with error on missing file."""
with patch('sys.exit') as mock_exit:
pkgs = parse_requirements_file("/nonexistent/requirements.txt")
mock_exit.assert_called_once_with(1)
print("PASS: test_parse_requirements_nonexistent")
def test_filter_by_severity():
"""Should filter vulnerabilities by severity threshold."""
vulns = [
Vulnerability("pkg1", "==1.0", "V1", "critical", 9.8, "summary", "url", []),
Vulnerability("pkg2", "==2.0", "V2", "high", 7.5, "summary", "url", []),
Vulnerability("pkg3", "==3.0", "V3", "medium", 5.0, "summary", "url", []),
Vulnerability("pkg4", "==4.0", "V4", "low", 2.0, "summary", "url", []),
]
# min_severity: low includes all
filtered = filter_by_severity(vulns, "low")
assert len(filtered) == 4
# min_severity: medium excludes low
filtered = filter_by_severity(vulns, "medium")
assert len(filtered) == 3
assert all(v.severity in ("critical", "high", "medium") for v in filtered)
# min_severity: high excludes medium + low
filtered = filter_by_severity(vulns, "high")
assert len(filtered) == 2
# min_severity: critical only
filtered = filter_by_severity(vulns, "critical")
assert len(filtered) == 1
print("PASS: test_filter_by_severity")
def test_parse_osv_vuln():
"""Should parse OSV API response correctly."""
parsed = parse_osv_vuln(SAMPLE_OSV_RESPONSE, "django", "==4.2.0")
assert len(parsed) == 2
assert parsed[0].package == "django"
assert parsed[0].vuln_id == "GHSA-xxxx-xxxx-xxxx"
assert parsed[0].severity == "critical"
assert parsed[0].cvss_score == 9.8
assert parsed[1].severity == "medium"
assert parsed[1].cvss_score == 5.3
print("PASS: test_parse_osv_vuln")
def test_parse_osv_vuln_empty():
"""Should handle empty OSV response."""
parsed = parse_osv_vuln([], "django", "==4.2.0")
assert parsed == []
print("PASS: test_parse_osv_vuln_empty")
def test_query_osv_network_success():
"""Should successfully query OSV API for a real known vulnerable package."""
# Query for an old django version that likely has known CVEs
# This test actually hits the network — tagged as integration
vulns = query_osv("django", "==3.2.0")
# We don't assert specific results since vulns change over time
# But we assert the function returns a list and doesn't error
assert isinstance(vulns, list)
print("PASS: test_query_osv_network_success")
def test_query_osv_404_no_vulns():
"""OSV returns empty list for packages with no vulns (404-like)."""
# Mock a 404 response from OSV API
with patch('urllib.request.urlopen') as mock_urlopen:
mock_response = MagicMock()
mock_response.read.return_value = b'{"vulns": []}'
mock_response.__enter__ = lambda self: self
mock_response.__exit__ = lambda self, *args: None
mock_urlopen.return_value = mock_response
result = query_osv("nonexistent-package-xyz123", "==1.0.0")
assert result == []
print("PASS: test_query_osv_404_no_vulns")
if __name__ == '__main__':
# Run all tests
test_parse_requirements_simple()
test_parse_requirements_extras_and_comments()
test_parse_requirements_include_recursive()
test_parse_requirements_skip_editable()
test_parse_requirements_nonexistent()
test_filter_by_severity()
test_parse_osv_vuln()
test_parse_osv_vuln_empty()
test_query_osv_network_success()
test_query_osv_404_no_vulns()
print("\nAll tests passed.")