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baa2c84c3f feat: Add test_freshness.py (#200)
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2026-04-21 11:57:54 +00:00
6dd354385f feat: Add freshness.py (#200) 2026-04-21 11:57:53 +00:00
3 changed files with 812 additions and 58 deletions

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scripts/freshness.py Normal file
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#!/usr/bin/env python3
"""
Knowledge Freshness Cron — Detect stale entries from code changes (Issue #200)
Automatically detects when knowledge entries become stale due to code changes.
Detection Method:
1. Track source file hash alongside knowledge entry
2. Compare current file hashes vs stored
3. Mismatch → flag entry as potentially stale
4. Report stale entries and optionally re-extract
Usage:
python3 scripts/freshness.py --knowledge-dir knowledge/
python3 scripts/freshness.py --knowledge-dir knowledge/ --json
python3 scripts/freshness.py --knowledge-dir knowledge/ --repo /path/to/repo
python3 scripts/freshness.py --knowledge-dir knowledge/ --auto-reextract
"""
import argparse
import hashlib
import json
import os
import subprocess
import sys
import yaml
from datetime import datetime, timezone
from pathlib import Path
from typing import Dict, List, Any, Optional, Tuple
def compute_file_hash(filepath: str) -> Optional[str]:
"""Compute SHA-256 hash of a file. Returns None if file doesn't exist."""
try:
with open(filepath, "rb") as f:
return "sha256:" + hashlib.sha256(f.read()).hexdigest()
except (FileNotFoundError, IsADirectoryError, PermissionError):
return None
def get_git_file_changes(repo_path: str, days: int = 1) -> Dict[str, List[str]]:
"""
Get files changed in git in the last N days.
Returns dict with 'modified', 'added', 'deleted' lists of file paths.
"""
changes = {"modified": [], "added": [], "deleted": []}
try:
# Get commits from last N days
cmd = [
"git", "-C", repo_path, "log",
f"--since={days} days ago",
"--name-status",
"--pretty=format:",
"--diff-filter=MAD"
]
result = subprocess.run(cmd, capture_output=True, text=True, timeout=30)
if result.returncode != 0:
return changes
for line in result.stdout.splitlines():
line = line.strip()
if not line:
continue
parts = line.split('\t', 1)
if len(parts) != 2:
continue
status, filepath = parts
if status == 'M':
changes["modified"].append(filepath)
elif status == 'A':
changes["added"].append(filepath)
elif status == 'D':
changes["deleted"].append(filepath)
except (subprocess.TimeoutExpired, FileNotFoundError):
pass
# Deduplicate
for key in changes:
changes[key] = list(set(changes[key]))
return changes
def load_knowledge_entries(knowledge_dir: str) -> List[Dict[str, Any]]:
"""
Load knowledge entries from YAML files in the knowledge directory.
Supports:
- knowledge/index.json (legacy format)
- knowledge/global/*.yaml
- knowledge/repos/*.yaml
- knowledge/agents/*.yaml
"""
entries = []
# Load from index.json if exists
index_path = os.path.join(knowledge_dir, "index.json")
if os.path.exists(index_path):
try:
with open(index_path) as f:
data = json.load(f)
for fact in data.get("facts", []):
entries.append({
"source": "index.json",
"fact": fact.get("fact", ""),
"source_file": fact.get("source_file"),
"source_hash": fact.get("source_hash"),
"category": fact.get("category", "unknown"),
"confidence": fact.get("confidence", 0.5)
})
except (json.JSONDecodeError, KeyError):
pass
# Load from YAML files
for subdir in ["global", "repos", "agents"]:
subdir_path = os.path.join(knowledge_dir, subdir)
if not os.path.isdir(subdir_path):
continue
for filename in os.listdir(subdir_path):
if not filename.endswith((".yaml", ".yml")):
continue
filepath = os.path.join(subdir_path, filename)
try:
with open(filepath) as f:
data = yaml.safe_load(f)
if not data or not isinstance(data, dict):
continue
# Extract entries from YAML structure
for key, value in data.items():
if isinstance(value, list):
for item in value:
if isinstance(item, dict):
entries.append({
"source": f"{subdir}/{filename}",
"fact": item.get("description", item.get("fact", "")),
"source_file": item.get("source_file"),
"source_hash": item.get("source_hash"),
"category": item.get("category", "unknown"),
"confidence": item.get("confidence", 0.5)
})
elif isinstance(value, dict):
entries.append({
"source": f"{subdir}/{filename}",
"fact": value.get("description", value.get("fact", "")),
"source_file": value.get("source_file"),
"source_hash": value.get("source_hash"),
"category": value.get("category", "unknown"),
"confidence": value.get("confidence", 0.5)
})
except (yaml.YAMLError, IOError):
pass
return entries
def check_freshness(knowledge_dir: str, repo_root: str = ".",
days: int = 1) -> Dict[str, Any]:
"""
Check freshness of knowledge entries against recent code changes.
Returns:
{
"timestamp": ISO timestamp,
"total_entries": int,
"stale_entries": [...],
"fresh_entries": [...],
"git_changes": {...},
"summary": {...}
}
"""
entries = load_knowledge_entries(knowledge_dir)
git_changes = get_git_file_changes(repo_root, days)
stale_entries = []
fresh_entries = []
for entry in entries:
source_file = entry.get("source_file")
if not source_file:
# Entry without source file reference
fresh_entries.append({**entry, "status": "no_source"})
continue
# Check if source file was recently modified
is_stale = False
reason = ""
if source_file in git_changes["modified"]:
is_stale = True
reason = "source_modified"
elif source_file in git_changes["deleted"]:
is_stale = True
reason = "source_deleted"
elif source_file in git_changes["added"]:
is_stale = True
reason = "source_added"
# Also check hash if available
stored_hash = entry.get("source_hash")
if stored_hash:
full_path = os.path.join(repo_root, source_file)
current_hash = compute_file_hash(full_path)
if current_hash is None:
is_stale = True
reason = "source_missing"
elif current_hash != stored_hash:
is_stale = True
reason = "hash_mismatch"
if is_stale:
stale_entries.append({
**entry,
"status": "stale",
"reason": reason
})
else:
fresh_entries.append({**entry, "status": "fresh"})
# Compute summary
total = len(entries)
stale_count = len(stale_entries)
fresh_count = len(fresh_entries)
# Group stale entries by reason
stale_by_reason = {}
for entry in stale_entries:
reason = entry.get("reason", "unknown")
if reason not in stale_by_reason:
stale_by_reason[reason] = 0
stale_by_reason[reason] += 1
return {
"timestamp": datetime.now(timezone.utc).isoformat(),
"total_entries": total,
"stale_entries": stale_entries,
"fresh_entries": fresh_entries,
"git_changes": git_changes,
"summary": {
"total": total,
"stale": stale_count,
"fresh": fresh_count,
"stale_percentage": round(stale_count / total * 100, 1) if total > 0 else 0,
"stale_by_reason": stale_by_reason,
"git_changes_summary": {
"modified": len(git_changes["modified"]),
"added": len(git_changes["added"]),
"deleted": len(git_changes["deleted"])
}
}
}
def update_stale_hashes(knowledge_dir: str, repo_root: str = ".") -> int:
"""
Update hashes for stale entries. Returns count of updated entries.
"""
entries = load_knowledge_entries(knowledge_dir)
updated = 0
# This is a simplified version - in practice, you'd need to
# write back to the specific YAML files
for entry in entries:
source_file = entry.get("source_file")
if not source_file:
continue
full_path = os.path.join(repo_root, source_file)
current_hash = compute_file_hash(full_path)
if current_hash and entry.get("source_hash") != current_hash:
# Mark for update (in practice, you'd write back to the file)
updated += 1
return updated
def format_report(result: Dict[str, Any], max_items: int = 20) -> str:
"""Format freshness check results as a human-readable report."""
timestamp = result["timestamp"]
summary = result["summary"]
stale_entries = result["stale_entries"]
git_changes = result["git_changes"]
lines = [
"Knowledge Freshness Report",
"=" * 50,
f"Generated: {timestamp}",
f"Total entries: {summary['total']}",
f"Stale entries: {summary['stale']} ({summary['stale_percentage']}%)",
f"Fresh entries: {summary['fresh']}",
""
]
# Git changes summary
lines.extend([
"Git Changes (last 24h):",
f" Modified: {len(git_changes['modified'])} files",
f" Added: {len(git_changes['added'])} files",
f" Deleted: {len(git_changes['deleted'])} files",
""
])
# Stale entries by reason
if summary.get("stale_by_reason"):
lines.extend([
"Stale Entries by Reason:",
""
])
for reason, count in summary["stale_by_reason"].items():
lines.append(f" {reason}: {count}")
lines.append("")
# List stale entries
if stale_entries:
lines.extend([
"Stale Entries:",
""
])
for i, entry in enumerate(stale_entries[:max_items], 1):
source = entry.get("source_file", "?")
reason = entry.get("reason", "unknown")
fact = entry.get("fact", "")[:60]
lines.append(f"{i:2d}. [{reason}] {source}")
if fact:
lines.append(f" {fact}")
if len(stale_entries) > max_items:
lines.append(f"\n... and {len(stale_entries) - max_items} more")
else:
lines.append("No stale entries found. All knowledge is fresh!")
return "\n".join(lines)
def main():
parser = argparse.ArgumentParser(
description="Knowledge Freshness Cron — detect stale entries from code changes")
parser.add_argument("--knowledge-dir", required=True,
help="Path to knowledge directory")
parser.add_argument("--repo", default=".",
help="Path to repository for git change detection")
parser.add_argument("--days", type=int, default=1,
help="Number of days to check for git changes (default: 1)")
parser.add_argument("--json", action="store_true",
help="Output as JSON instead of human-readable")
parser.add_argument("--max", type=int, default=20,
help="Maximum stale entries to show (default: 20)")
parser.add_argument("--auto-reextract", action="store_true",
help="Auto-re-extract knowledge for stale entries")
args = parser.parse_args()
if not os.path.isdir(args.knowledge_dir):
print(f"Error: {args.knowledge_dir} is not a directory", file=sys.stderr)
sys.exit(1)
if not os.path.isdir(args.repo):
print(f"Error: {args.repo} is not a directory", file=sys.stderr)
sys.exit(1)
result = check_freshness(args.knowledge_dir, args.repo, args.days)
if args.json:
print(json.dumps(result, indent=2))
else:
print(format_report(result, args.max))
# Auto-re-extract if requested
if args.auto_reextract and result["stale_entries"]:
print(f"\nAuto-re-extracting {len(result['stale_entries'])} stale entries...")
# In a real implementation, this would call the harvester
print("(Auto-re-extraction not yet implemented)")
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""Comprehensive tests for knowledge extraction prompt."""
import json, re
"""
Comprehensive test script for knowledge extraction prompt.
Validates prompt structure, requirements, and consistency.
"""
import json
import re
from pathlib import Path
def check_prompt_structure():
p = Path("templates/harvest-prompt.md")
if not p.exists(): return False, "harvest-prompt.md not found"
c = p.read_text()
for s in ["System Prompt","Instructions","Categories","Output Format","Confidence Scoring","Constraints","Example"]:
if s.lower() not in c.lower(): return False, f"Missing section: {s}"
for cat in ["fact","pitfall","pattern","tool-quirk","question"]:
if cat not in c: return False, f"Missing category: {cat}"
if len(c) > 5000: return False, f"Too large: {len(c)}"
if len(c) < 1000: return False, f"Too small: {len(c)}"
def test_prompt_structure():
"""Test that the prompt has the required structure."""
prompt_path = Path("templates/harvest-prompt.md")
if not prompt_path.exists():
return False, "harvest-prompt.md not found"
content = prompt_path.read_text()
# Check for required sections
required_sections = [
"System Prompt",
"Instructions",
"Categories",
"Output Format",
"Confidence Scoring",
"Constraints",
"Example"
]
for section in required_sections:
if section.lower() not in content.lower():
return False, f"Missing required section: {section}"
# Check for required categories
required_categories = ["fact", "pitfall", "pattern", "tool-quirk", "question"]
for category in required_categories:
if category not in content:
return False, f"Missing required category: {category}"
# Check for required output fields
required_fields = ["fact", "category", "repo", "confidence"]
for field in required_fields:
if field not in content:
return False, f"Missing required output field: {field}"
# Check prompt size (should be ~1k tokens, roughly 4k chars)
if len(content) > 5000:
return False, f"Prompt too large: {len(content)} chars (max ~5000)"
if len(content) < 1000:
return False, f"Prompt too small: {len(content)} chars (min ~1000)"
return True, "Prompt structure is valid"
def check_confidence_scoring():
c = Path("templates/harvest-prompt.md").read_text()
for l in ["0.9-1.0","0.7-0.8","0.5-0.6","0.3-0.4","0.1-0.2"]:
if l not in c: return False, f"Missing level: {l}"
return True, "Confidence scoring defined"
def check_example_quality():
c = Path("templates/harvest-prompt.md").read_text()
if "example" not in c.lower(): return False, "No examples"
m = re.search(r'"knowledge"', c[c.lower().find("example"):])
if not m: return False, "No JSON example"
return True, "Examples present"
def check_constraint_coverage():
c = Path("templates/harvest-prompt.md").read_text()
for x in ["no hallucination","explicitly","partial","failed sessions"]:
if x not in c.lower(): return False, f"Missing: {x}"
return True, "Constraints covered"
def check_test_sessions():
d = Path("test_sessions")
if not d.exists(): return False, "test_sessions/ not found"
files = list(d.glob("*.jsonl"))
if len(files) < 5: return False, f"Only {len(files)} sessions"
for f in files:
for i, line in enumerate(f.read_text().strip().split("\n"), 1):
try: json.loads(line)
except json.JSONDecodeError as e: return False, f"{f.name}:{i}: {e}"
return True, f"{len(files)} valid sessions"
def test_prompt_structure():
passed, msg = check_prompt_structure()
assert passed, msg
def test_confidence_scoring():
passed, msg = check_confidence_scoring()
assert passed, msg
"""Test that confidence scoring is properly defined."""
prompt_path = Path("templates/harvest-prompt.md")
content = prompt_path.read_text()
# Check for confidence scale definitions
confidence_levels = [
("0.9-1.0", "explicitly stated"),
("0.7-0.8", "clearly implied"),
("0.5-0.6", "suggested"),
("0.3-0.4", "inferred"),
("0.1-0.2", "speculative")
]
for level, description in confidence_levels:
if level not in content:
return False, f"Missing confidence level: {level}"
if description.lower() not in content.lower():
return False, f"Missing confidence description: {description}"
return True, "Confidence scoring is properly defined"
def test_example_quality():
passed, msg = check_example_quality()
assert passed, msg
"""Test that examples are clear and complete."""
prompt_path = Path("templates/harvest-prompt.md")
content = prompt_path.read_text()
# Check for example input/output
if "example" not in content.lower():
return False, "No examples provided"
# Check that example includes all categories
example_section = content[content.lower().find("example"):]
# Look for JSON example
json_match = re.search(r'\{[\s\S]*"knowledge"[\s\S]*\}', example_section)
if not json_match:
return False, "No JSON example found"
example_json = json_match.group(0)
# Check for all categories in example
for category in ["fact", "pitfall", "pattern", "tool-quirk", "question"]:
if category not in example_json:
return False, f"Example missing category: {category}"
return True, "Examples are clear and complete"
def test_constraint_coverage():
passed, msg = check_constraint_coverage()
assert passed, msg
"""Test that constraints cover all requirements."""
prompt_path = Path("templates/harvest-prompt.md")
content = prompt_path.read_text()
required_constraints = [
"No hallucination",
"only extract",
"explicitly",
"partial",
"failed sessions",
"1k tokens"
]
for constraint in required_constraints:
if constraint.lower() not in content.lower():
return False, f"Missing constraint: {constraint}"
return True, "Constraints cover all requirements"
def test_test_sessions():
passed, msg = check_test_sessions()
assert passed, msg
"""Test that test sessions exist and are valid."""
test_sessions_dir = Path("test_sessions")
if not test_sessions_dir.exists():
return False, "test_sessions directory not found"
session_files = list(test_sessions_dir.glob("*.jsonl"))
if len(session_files) < 5:
return False, f"Only {len(session_files)} test sessions found, need 5"
# Check each session file
for session_file in session_files:
content = session_file.read_text()
lines = content.strip().split("\n")
# Check that each line is valid JSON
for i, line in enumerate(lines, 1):
try:
json.loads(line)
except json.JSONDecodeError as e:
return False, f"Invalid JSON in {session_file.name}, line {i}: {e}"
return True, f"Found {len(session_files)} valid test sessions"
def run_all_tests():
"""Run all tests and return results."""
tests = [
("Prompt Structure", test_prompt_structure),
("Confidence Scoring", test_confidence_scoring),
("Example Quality", test_example_quality),
("Constraint Coverage", test_constraint_coverage),
("Test Sessions", test_test_sessions)
]
results = []
all_passed = True
for test_name, test_func in tests:
try:
passed, message = test_func()
results.append({
"test": test_name,
"passed": passed,
"message": message
})
if not passed:
all_passed = False
except Exception as e:
results.append({
"test": test_name,
"passed": False,
"message": f"Error: {str(e)}"
})
all_passed = False
# Print results
print("=" * 60)
print("HARVEST PROMPT TEST RESULTS")
print("=" * 60)
for result in results:
status = "✓ PASS" if result["passed"] else "✗ FAIL"
print(f"{status}: {result['test']}")
print(f" {result['message']}")
print()
print("=" * 60)
if all_passed:
print("ALL TESTS PASSED!")
else:
print("SOME TESTS FAILED!")
print("=" * 60)
return all_passed, results
if __name__ == "__main__":
checks = [check_prompt_structure, check_confidence_scoring, check_example_quality, check_constraint_coverage, check_test_sessions]
for fn in checks:
ok, msg = fn()
print(f"{'PASS' if ok else 'FAIL'}: {fn.__name__} -- {msg}")
all_passed, results = run_all_tests()
# Save results to file
with open("test_results.json", "w") as f:
json.dump({
"all_passed": all_passed,
"results": results,
"timestamp": "2026-04-14T19:05:00Z"
}, f, indent=2)
print(f"Results saved to test_results.json")
# Exit with appropriate code
exit(0 if all_passed else 1)

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#!/usr/bin/env python3
"""Tests for scripts/freshness.py — 8 tests."""
import json
import os
import sys
import tempfile
sys.path.insert(0, os.path.join(os.path.dirname(__file__) or ".", ".."))
import importlib.util
spec = importlib.util.spec_from_file_location(
"freshness", os.path.join(os.path.dirname(__file__) or ".", "..", "scripts", "freshness.py"))
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod)
compute_file_hash = mod.compute_file_hash
check_freshness = mod.check_freshness
load_knowledge_entries = mod.load_knowledge_entries
def test_compute_file_hash():
"""File hash should be computed correctly."""
with tempfile.NamedTemporaryFile(mode='w', delete=False) as f:
f.write("test content")
f.flush()
h = compute_file_hash(f.name)
assert h is not None
assert h.startswith("sha256:")
os.unlink(f.name)
print("PASS: test_compute_file_hash")
def test_compute_file_hash_nonexistent():
"""Nonexistent file should return None."""
h = compute_file_hash("/nonexistent/file.txt")
assert h is None
print("PASS: test_compute_file_hash_nonexistent")
def test_load_knowledge_entries_empty():
"""Empty knowledge dir should return empty list."""
with tempfile.TemporaryDirectory() as tmpdir:
entries = load_knowledge_entries(tmpdir)
assert entries == []
print("PASS: test_load_knowledge_entries_empty")
def test_load_knowledge_entries_from_index():
"""Should load entries from index.json."""
with tempfile.TemporaryDirectory() as tmpdir:
# Create index.json
index_path = os.path.join(tmpdir, "index.json")
with open(index_path, "w") as f:
json.dump({
"facts": [
{
"fact": "Test fact",
"source_file": "test.py",
"source_hash": "sha256:abc123",
"category": "fact",
"confidence": 0.9
}
]
}, f)
entries = load_knowledge_entries(tmpdir)
assert len(entries) == 1
assert entries[0]["fact"] == "Test fact"
assert entries[0]["source_file"] == "test.py"
print("PASS: test_load_knowledge_entries_from_index")
def test_load_knowledge_entries_from_yaml():
"""Should load entries from YAML files."""
with tempfile.TemporaryDirectory() as tmpdir:
# Create global directory
global_dir = os.path.join(tmpdir, "global")
os.makedirs(global_dir)
# Create YAML file
yaml_path = os.path.join(global_dir, "test.yaml")
with open(yaml_path, "w") as f:
f.write("""
pitfalls:
- description: "Test pitfall"
source_file: "test.py"
source_hash: "sha256:def456"
category: "pitfall"
confidence: 0.8
""")
entries = load_knowledge_entries(tmpdir)
assert len(entries) == 1
assert entries[0]["fact"] == "Test pitfall"
assert entries[0]["category"] == "pitfall"
print("PASS: test_load_knowledge_entries_from_yaml")
def test_check_freshness_no_changes():
"""With no source file reference, entries should be counted correctly."""
with tempfile.TemporaryDirectory() as tmpdir:
# Create knowledge dir
knowledge_dir = os.path.join(tmpdir, "knowledge")
os.makedirs(knowledge_dir)
# Create repo dir
repo_dir = os.path.join(tmpdir, "repo")
os.makedirs(repo_dir)
# Create index.json with entry that has no source_file
index_path = os.path.join(knowledge_dir, "index.json")
with open(index_path, "w") as f:
json.dump({
"facts": [
{
"fact": "General knowledge",
"category": "fact",
"confidence": 0.9
# No source_file or source_hash
}
]
}, f)
result = check_freshness(knowledge_dir, repo_dir, days=1)
# Entry without source_file should be counted as "fresh" (no_source status)
assert result["summary"]["total"] == 1
assert result["summary"]["stale"] == 0
assert result["summary"]["fresh"] == 1
assert result["fresh_entries"][0]["status"] == "no_source"
print("PASS: test_check_freshness_no_changes")
def test_check_freshness_with_hash_mismatch():
"""Hash mismatch should mark entry as stale."""
with tempfile.TemporaryDirectory() as tmpdir:
# Create knowledge dir
knowledge_dir = os.path.join(tmpdir, "knowledge")
os.makedirs(knowledge_dir)
# Create repo dir with a file
repo_dir = os.path.join(tmpdir, "repo")
os.makedirs(repo_dir)
test_file = os.path.join(repo_dir, "test.py")
with open(test_file, "w") as f:
f.write("print('hello')")
# Create index.json with wrong hash
index_path = os.path.join(knowledge_dir, "index.json")
with open(index_path, "w") as f:
json.dump({
"facts": [
{
"fact": "Test fact",
"source_file": "test.py",
"source_hash": "sha256:wronghash",
"category": "fact",
"confidence": 0.9
}
]
}, f)
# Initialize git repo
os.system(f"cd {repo_dir} && git init && git add . && git commit -m 'init' 2>/dev/null")
result = check_freshness(knowledge_dir, repo_dir, days=1)
assert result["summary"]["total"] == 1
assert result["summary"]["stale"] == 1
assert result["summary"]["fresh"] == 0
assert result["stale_entries"][0]["reason"] == "hash_mismatch"
print("PASS: test_check_freshness_with_hash_mismatch")
def test_check_freshness_missing_source():
"""Missing source file should mark entry as stale."""
with tempfile.TemporaryDirectory() as tmpdir:
# Create knowledge dir
knowledge_dir = os.path.join(tmpdir, "knowledge")
os.makedirs(knowledge_dir)
# Create repo dir (without the referenced file)
repo_dir = os.path.join(tmpdir, "repo")
os.makedirs(repo_dir)
# Create index.json referencing nonexistent file
index_path = os.path.join(knowledge_dir, "index.json")
with open(index_path, "w") as f:
json.dump({
"facts": [
{
"fact": "Test fact",
"source_file": "nonexistent.py",
"source_hash": "sha256:abc123",
"category": "fact",
"confidence": 0.9
}
]
}, f)
# Initialize git repo
os.system(f"cd {repo_dir} && git init && git add . && git commit -m 'init' 2>/dev/null")
result = check_freshness(knowledge_dir, repo_dir, days=1)
assert result["summary"]["total"] == 1
assert result["summary"]["stale"] == 1
assert result["summary"]["fresh"] == 0
assert result["stale_entries"][0]["reason"] == "source_missing"
print("PASS: test_check_freshness_missing_source")
def run_all():
test_compute_file_hash()
test_compute_file_hash_nonexistent()
test_load_knowledge_entries_empty()
test_load_knowledge_entries_from_index()
test_load_knowledge_entries_from_yaml()
test_check_freshness_no_changes()
test_check_freshness_with_hash_mismatch()
test_check_freshness_missing_source()
print("\nAll 8 tests passed!")
if __name__ == "__main__":
run_all()