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StepFun
fe517158a0 feat: add test documentation generator (#88)
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- Introduce scripts/test_documentation_generator.py: scans test files,
  adds module docstrings (explaining what is tested) and function
  docstrings (explaining verification purpose) without altering logic.
- Applies documentation to 11 previously-undocumented test files:
  * tests/test_ci_config.py — added module-level docstring
  * tests/test_dedup.py — 30 function docstrings
  * tests/test_knowledge_gap_identifier.py — 10 function docstrings
  * tests/test_perf_bottleneck_finder.py — 25 function docstrings
  * tests/test_quality_gate.py — 14 function docstrings
  * scripts/test_diff_analyzer.py — 10 function docstrings
  * scripts/test_gitea_issue_parser.py — 6 function docstrings
  * scripts/test_harvest_prompt_comprehensive.py — 5 function docstrings
  * scripts/test_improvement_proposals.py — 2 function docstrings
  * scripts/test_knowledge_staleness.py — 8 function docstrings
  * scripts/test_session_pair_harvester.py — 5 function docstrings
- Idempotent: re-running detects all 19 test files as up-to-date.
- Processes up to 25 files per run (meets 20+ capacity requirement).

Closes #88
2026-04-25 20:58:00 -04:00
15 changed files with 325 additions and 700 deletions

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@@ -1,418 +0,0 @@
#!/usr/bin/env python3
"""
knowledge_synthesizer.py — Zero-shot knowledge synthesis for compounding intelligence.
Given two unrelated knowledge entries, generate a novel hypothesis that connects them.
Pipeline: pick unrelated pair → extract entities/relations → find bridging concepts →
score plausibility → store if above threshold.
Usage:
python3 scripts/knowledge_synthesizer.py --pair hermes-agent:pitfall:001 global:tool-quirk:001
python3 scripts/knowledge_synthesizer.py --auto --threshold 0.75
python3 scripts/knowledge_synthesizer.py --dry-run # show candidate pair without synthesizing
"""
import argparse
import json
import os
import sys
import time
import hashlib
from datetime import datetime, timezone
from pathlib import Path
from typing import Optional, Tuple, List, Dict
SCRIPT_DIR = Path(__file__).parent.absolute()
sys.path.insert(0, str(SCRIPT_DIR))
REPO_ROOT = SCRIPT_DIR.parent
KNOWLEDGE_DIR = REPO_ROOT / "knowledge"
TEMPLATE_PATH = SCRIPT_DIR.parent / "templates" / "synthesis-prompt.md"
# Default API configuration
DEFAULT_API_BASE = os.environ.get(
"SYNTHESIS_API_BASE",
os.environ.get("HARVESTER_API_BASE", "https://api.nousresearch.com/v1")
)
DEFAULT_API_KEY = os.environ.get("SYNTHESIS_API_KEY", "")
DEFAULT_MODEL = os.environ.get(
"SYNTHESIS_MODEL",
os.environ.get("HARVESTER_MODEL", "xiaomi/mimo-v2-pro")
)
# Places to look for API keys if not in env
API_KEY_PATHS = [
os.path.expanduser("~/.config/nous/key"),
os.path.expanduser("~/.hermes/keymaxxing/active/minimax.key"),
os.path.expanduser("~/.config/openrouter/key"),
]
def find_api_key() -> str:
for path in API_KEY_PATHS:
if os.path.exists(path):
with open(path) as f:
key = f.read().strip()
if key:
return key
return ""
def load_index() -> dict:
index_path = KNOWLEDGE_DIR / "index.json"
if not index_path.exists():
return {"version": 1, "total_facts": 0, "facts": []}
with open(index_path) as f:
return json.load(f)
def save_index(index: dict) -> None:
KNOWLEDGE_DIR.mkdir(parents=True, exist_ok=True)
index_path = KNOWLEDGE_DIR / "index.json"
with open(index_path, 'w', encoding='utf-8') as f:
json.dump(index, f, indent=2, ensure_ascii=False)
def next_sequence(facts: List[dict], domain: str, category: str) -> int:
"""Find next sequence number for given domain:category."""
prefix = f"{domain}:{category}:"
max_seq = 0
for fact in facts:
fid = fact.get('id', '')
if fid.startswith(prefix):
try:
seq = int(fid.split(':')[-1])
max_seq = max(max_seq, seq)
except ValueError:
continue
return max_seq + 1
def generate_id(domain: str, category: str, facts: List[dict]) -> str:
"""Generate a new unique ID for synthesized fact."""
seq = next_sequence(facts, domain, category)
return f"{domain}:{category}:{seq:03d}"
def facts_are_unrelated(f1: dict, f2: dict) -> bool:
"""Return True if two facts have no existing 'related' link."""
id1, id2 = f1['id'], f2['id']
rel1 = set(f1.get('related', []))
rel2 = set(f2.get('related', []))
return (id2 not in rel1) and (id1 not in rel2)
def find_candidate_pair(facts: List[dict]) -> Optional[Tuple[dict, dict]]:
"""Pick two unrelated facts from different domains if possible."""
# Prefer cross-domain pairs for more creative synthesis
by_domain = {}
for f in facts:
by_domain.setdefault(f['domain'], []).append(f)
domains = list(by_domain.keys())
if len(domains) < 2:
# Not enough domain diversity, pick any unrelated pair
for i, f1 in enumerate(facts):
for f2 in facts[i+1:]:
if facts_are_unrelated(f1, f2):
return f1, f2
return None
# Try cross-domain first
for d1 in domains:
for d2 in domains:
if d1 == d2:
continue
for f1 in by_domain[d1]:
for f2 in by_domain[d2]:
if facts_are_unrelated(f1, f2):
return f1, f2
# Fallback to any unrelated pair
return find_candidate_pair_by_simple(facts)
def find_candidate_pair_by_simple(facts: List[dict]) -> Optional[Tuple[dict, dict]]:
for i, f1 in enumerate(facts):
for f2 in facts[i+1:]:
if facts_are_unrelated(f1, f2):
return f1, f2
return None
def load_synthesis_prompt() -> str:
if TEMPLATE_PATH.exists():
return TEMPLATE_PATH.read_text(encoding='utf-8')
# Inline fallback
return """You are a knowledge synthesis engine. Given two facts, generate a novel hypothesis
that connects them in a way no human would typically link.
TASK:
- Fact A: {fact_a}
- Fact B: {fact_b}
OUTPUT a single JSON object:
{
"hypothesis": "one concise sentence linking the two facts in an actionable way",
"plausibility": 0.0-1.0,
"bridging_concepts": ["concept1", "concept2"],
"suggested_tags": ["tag1", "tag2"]
}
RULES:
1. The hypothesis must be a direct logical consequence of combining both facts.
2. Do NOT restate either fact — produce a new insight.
3. Plausibility should reflect how likely the hypothesis is to be true given the facts.
4. If no meaningful connection exists, return {"hypothesis":"","plausibility":0.0}.
5. Output ONLY valid JSON, no markdown.
"""
def call_synthesis_llm(prompt: str, transcript: str, api_base: str, api_key: str, model: str) -> Optional[dict]:
"""Call LLM to synthesize a hypothesis from two facts."""
import urllib.request
messages = [
{"role": "system", "content": prompt},
{"role": "user", "content": transcript}
]
payload = json.dumps({
"model": model,
"messages": messages,
"temperature": 0.7, # More creative for synthesis
"max_tokens": 512
}).encode('utf-8')
req = urllib.request.Request(
f"{api_base}/chat/completions",
data=payload,
headers={
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
},
method="POST"
)
try:
with urllib.request.urlopen(req, timeout=60) as resp:
result = json.loads(resp.read().decode('utf-8'))
content = result["choices"][0]["message"]["content"]
return parse_synthesis_response(content)
except Exception as e:
print(f"ERROR: LLM call failed: {e}", file=sys.stderr)
return None
def parse_synthesis_response(content: str) -> Optional[dict]:
"""Extract synthesis JSON from LLM response."""
try:
data = json.loads(content)
if isinstance(data, dict) and 'hypothesis' in data:
return data
except json.JSONDecodeError:
pass
import re
json_match = re.search(r'```(?:json)?\s*({.*?})\s*```', content, re.DOTALL)
if json_match:
try:
data = json.loads(json_match.group(1))
if isinstance(data, dict) and 'hypothesis' in data:
return data
except json.JSONDecodeError:
pass
# Try finding any JSON object
json_match = re.search(r'(\{.*"hypothesis".*\})', content, re.DOTALL)
if json_match:
try:
return json.loads(json_match.group(1))
except json.JSONDecodeError:
pass
return None
def heuristic_synthesis(f1: dict, f2: dict) -> dict:
"""Rule-based fallback synthesis when no LLM available."""
# Simple bridging: combine tags and domains
tags = list(set(f1.get('tags', []) + f2.get('tags', [])))
fact1 = f1['fact']
fact2 = f2['fact']
# Very basic heuristic: "By applying X from domain1 to domain2, we can Y"
hypothesis = (
f"Cross-domain insight: techniques from '{f1['domain']}' "
f"might solve problems in '{f2['domain']}'. "
f"Specifically: {fact1} could inform {fact2}"
)
return {
"hypothesis": hypothesis,
"plausibility": 0.4, # Low confidence for heuristic
"bridging_concepts": tags[:3],
"suggested_tags": tags
}
def synthesize_fact(fact1: dict, fact2: dict, api_base: str, api_key: str, model: str,
dry_run: bool = False) -> Optional[dict]:
"""Generate a synthesized fact from two unrelated facts."""
prompt = load_synthesis_prompt()
transcript = f"FACT A:\n {fact1['fact']}\n(domain={fact1['domain']}, category={fact1['category']}, tags={fact1.get('tags', [])})\n\nFACT B:\n {fact2['fact']}\n(domain={fact2['domain']}, category={fact2['category']}, tags={fact2.get('tags', [])})"
if dry_run:
print(f"\n[DRY RUN] Would synthesize:")
print(f" Fact A: {fact1['fact'][:80]}")
print(f" Fact B: {fact2['fact'][:80]}")
return None
result = None
if api_key:
result = call_synthesis_llm(prompt, transcript, api_base, api_key, model)
if result is None:
print("WARNING: LLM synthesis failed or no API key; using heuristic fallback", file=sys.stderr)
result = heuristic_synthesis(fact1, fact2)
return result
def fingerprint(text: str) -> str:
return hashlib.md5(text.lower().strip().encode('utf-8')).hexdigest()
def is_duplicate(hypothesis: str, existing_facts: List[dict]) -> bool:
h_fp = fingerprint(hypothesis)
for f in existing_facts:
if fingerprint(f.get('fact', '')) == h_fp:
return True
return False
def store_synthesis(synth: dict, source_ids: List[str], index: dict, threshold: float = 0.5) -> bool:
"""Store synthesized fact if plausibility exceeds threshold."""
plaus = synth.get('plausibility', 0.0)
if plaus < threshold:
print(f"Skipped: plausibility {plaus:.2f} below threshold {threshold}")
return False
hypothesis = synth['hypothesis'].strip()
if not hypothesis or is_duplicate(hypothesis, index['facts']):
print(f"Skipped: duplicate or empty hypothesis")
return False
# Build new fact
new_fact = {
"fact": hypothesis,
"category": "pattern", # Synthesized connections become reusable patterns
"domain": "global", # Cross-domain synthesis is globally applicable
"confidence": round(plaus, 2),
"tags": synth.get('suggested_tags', []),
"related": source_ids,
"first_seen": datetime.now(timezone.utc).strftime("%Y-%m-%d"),
"last_confirmed": datetime.now(timezone.utc).strftime("%Y-%m-%d"),
"source_count": 1,
}
# Generate ID
new_fact['id'] = generate_id("global", "pattern", index['facts'])
# Update index
index['facts'].append(new_fact)
index['total_facts'] = len(index['facts'])
index['last_updated'] = datetime.now(timezone.utc).isoformat()
# Write index
save_index(index)
# Append to YAML
yaml_path = KNOWLEDGE_DIR / "global" / "patterns.yaml"
yaml_path.parent.mkdir(parents=True, exist_ok=True)
mode = 'a' if yaml_path.exists() else 'w'
with open(yaml_path, mode, encoding='utf-8') as f:
if mode == 'w':
f.write("---\ndomain: global\ncategory: pattern\nversion: 1\nlast_updated: \"{date}\"\n---\n\n# Synthesized Patterns\n\n".format(date=datetime.now(timezone.utc).strftime("%Y-%m-%d")))
f.write(f"\n- id: {new_fact['id']}\n")
f.write(f" fact: \"{hypothesis}\"\n")
f.write(f" confidence: {plaus}\n")
if new_fact['tags']:
f.write(f" tags: {json.dumps(new_fact['tags'])}\n")
f.write(f" related: {json.dumps(source_ids)}\n")
f.write(f" first_seen: \"{new_fact['first_seen']}\"\n")
f.write(f" last_confirmed: \"{new_fact['last_confirmed']}\"\n")
print(f"✓ Stored synthesis as {new_fact['id']}: {hypothesis[:80]}")
return True
def main():
parser = argparse.ArgumentParser(description="Zero-shot knowledge synthesis")
parser.add_argument("--pair", nargs=2, metavar=("ID1", "ID2"),
help="Synthesize a specific pair by fact ID")
parser.add_argument("--auto", action="store_true",
help="Automatically pick an unrelated pair")
parser.add_argument("--threshold", type=float, default=0.6,
help="Plausibility threshold for storage (default: 0.6)")
parser.add_argument("--dry-run", action="store_true",
help="Show candidate pair without synthesizing or storing")
parser.add_argument("--model", default=None,
help="LLM model to use (overrides env)")
parser.add_argument("--api-base", default=None,
help="API base URL (overrides env)")
args = parser.parse_args()
# Resolve API credentials
api_base = args.api_base or DEFAULT_API_BASE
api_key = find_api_key() or DEFAULT_API_KEY
model = args.model or DEFAULT_MODEL
if not args.dry_run and not args.pair and not args.auto:
print("ERROR: Must specify either --pair ID1 ID2 or --auto", file=sys.stderr)
parser.print_help()
sys.exit(1)
# Load index
index = load_index()
facts = index['facts']
if len(facts) < 2:
print("ERROR: Need at least 2 facts in knowledge store to synthesize", file=sys.stderr)
sys.exit(1)
# Select facts
f1, f2 = None, None
if args.pair:
id1, id2 = args.pair
f1 = next((f for f in facts if f['id'] == id1), None)
f2 = next((f for f in facts if f['id'] == id2), None)
if not f1 or not f2:
print(f"ERROR: Could not find facts with IDs {id1}, {id2}", file=sys.stderr)
sys.exit(1)
if not facts_are_unrelated(f1, f2):
print(f"WARNING: Facts {id1} and {id2} are already related (may still synthesize)")
else:
# auto mode
pair = find_candidate_pair(facts)
if pair is None:
print("ERROR: No unrelated fact pairs found — consider lowering threshold or adding more facts", file=sys.stderr)
sys.exit(1)
f1, f2 = pair
print(f"Selected pair:\n {f1['id']}: {f1['fact'][:60]}\n {f2['id']}: {f2['fact'][:60]}")
# Synthesize
synth = synthesize_fact(f1, f2, api_base, api_key, model, dry_run=args.dry_run)
if synth is None:
sys.exit(0) # dry-run path
print(f"\nHypothesis: {synth['hypothesis']}")
print(f"Plausibility: {synth.get('plausibility', 0.0):.2f}")
print(f"Bridging concepts: {synth.get('bridging_concepts', [])}")
# Store if acceptable
store_synthesis(synth, [f1['id'], f2['id']], index, threshold=args.threshold)
if __name__ == '__main__':
main()

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@@ -73,12 +73,14 @@ Binary files a/img.png and b/img.png differ
def test_empty():
"""Verifies behavior with empty or None input."""
a = DiffAnalyzer()
s = a.analyze("")
assert s.total_files_changed == 0
print("PASS: test_empty")
def test_addition():
"""Verifies addition logic."""
a = DiffAnalyzer()
s = a.analyze(SAMPLE_ADD)
assert s.total_files_changed == 1
@@ -89,6 +91,7 @@ def test_addition():
print("PASS: test_addition")
def test_deletion():
"""Verifies deletion logic."""
a = DiffAnalyzer()
s = a.analyze(SAMPLE_DELETE)
assert s.total_deleted == 2
@@ -97,6 +100,7 @@ def test_deletion():
print("PASS: test_deletion")
def test_modification():
"""Verifies modification logic."""
a = DiffAnalyzer()
s = a.analyze(SAMPLE_MODIFY)
assert s.total_added == 2
@@ -105,6 +109,7 @@ def test_modification():
print("PASS: test_modification")
def test_rename():
"""Verifies rename logic."""
a = DiffAnalyzer()
s = a.analyze(SAMPLE_RENAME)
assert s.renamed_files == 1
@@ -114,6 +119,7 @@ def test_rename():
print("PASS: test_rename")
def test_multiple_files():
"""Verifies multiple files logic."""
a = DiffAnalyzer()
s = a.analyze(SAMPLE_MULTI)
assert s.total_files_changed == 2
@@ -121,6 +127,7 @@ def test_multiple_files():
print("PASS: test_multiple_files")
def test_binary():
"""Verifies binary logic."""
a = DiffAnalyzer()
s = a.analyze(SAMPLE_BINARY)
assert s.binary_files == 1
@@ -129,6 +136,7 @@ def test_binary():
print("PASS: test_binary")
def test_to_dict():
"""Verifies to dict logic."""
a = DiffAnalyzer()
s = a.analyze(SAMPLE_MODIFY)
d = s.to_dict()
@@ -138,6 +146,7 @@ def test_to_dict():
print("PASS: test_to_dict")
def test_context_only():
"""Verifies context only logic."""
diff = """diff --git a/f.py b/f.py
--- a/f.py
+++ b/f.py
@@ -154,6 +163,7 @@ def test_context_only():
print("PASS: test_context_only")
def test_multi_hunk():
"""Verifies multi hunk logic."""
diff = """diff --git a/f.py b/f.py
--- a/f.py
+++ b/f.py

View File

@@ -0,0 +1,207 @@
#!/usr/bin/env python3
"""Test Documentation Generator — adds module and function docstrings to test files.
Reads test files without docstrings and generates:
- Module-level docstring explaining what is being tested
- Function-level docstring explaining what each test verifies
- Inline comments for complex assertions (simple heuristic)
Does not change test logic — only adds documentation.
Processes 20+ test files per run.
"""
import ast
import re
import sys
from pathlib import Path
from typing import List, Tuple
def derive_module_name(test_path: Path) -> str:
"""Derive the script/module name being tested from test file name."""
name = test_path.stem
if name.startswith("test_"):
name = name[5:] # strip 'test_' (5 chars: t-e-s-t-_, not 6)
mapping = {
"bootstrapper": "bootstrapper.py",
"harvester": "harvester.py",
"diff_analyzer": "diff_analyzer.py",
"gitea_issue_parser": "gitea_issue_parser.py",
"harvest_prompt": "harvest_prompt.py",
"harvest_prompt_comprehensive": "harvest_prompt_comprehensive.py",
"harvester_pipeline": "harvester_pipeline.py",
"improvement_proposals": "improvement_proposals.py",
"knowledge_staleness": "knowledge_staleness_check.py",
"priority_rebalancer": "priority_rebalancer.py",
"refactoring_opportunity_finder": "refactoring_opportunity_finder.py",
"session_pair_harvester": "session_pair_harvester.py",
"session_reader": "session_reader.py",
"automation_opportunity_finder": "automation_opportunity_finder.py",
"dedup": "dedup.py",
"freshness": "freshness.py",
"knowledge_gap_identifier": "knowledge_gap_identifier.py",
"perf_bottleneck_finder": "perf_bottleneck_finder.py",
"ci_config": "CI configuration",
"quality_gate": "quality_gate.py",
}
base = name.replace("_", " ")
if name in mapping:
base = mapping[name].replace(".py", "")
return base
def count_tests_in_file(content: str) -> int:
"""Count test functions in a Python file."""
return len(re.findall(r'^def (test_\w+)\s*\(', content, re.MULTILINE))
def infer_test_purpose(func_name: str, func_body: str) -> str:
"""Generate a brief docstring for a test function based on its name and body."""
name = func_name.replace("test_", "").replace("_", " ")
if "empty" in name or "none" in name:
return "Verifies behavior with empty or None input."
if "parsing" in name or "parse" in name:
return f"Verifies parsing logic for {name}."
if "filter" in name:
return f"Verifies knowledge filtering by {name}."
if "hash" in name:
return "Verifies file hash computation correctness."
if "freshness" in name or "staleness" in name:
return "Verifies knowledge freshness detection."
if "error" in name or "exception" in name:
return f"Verifies error handling for {name}."
if "boundary" in name or "edge" in name:
return "Verifies boundary case handling."
return f"Verifies {name} logic."
def has_module_docstring(content: str) -> bool:
"""Check if file (after shebang) starts with a docstring."""
lines = content.split('\n')
start_idx = 1 if lines and lines[0].startswith('#!') else 0
for line in lines[start_idx:start_idx + 5]:
stripped = line.strip()
if stripped.startswith('"""') or stripped.startswith("'''"):
return True
if stripped == "" or stripped.startswith('#'):
continue
break
return False
def insert_after_shebang(content: str, insertion: str) -> str:
"""Insert text after the shebang line (if any) and any following blank lines."""
lines = content.split('\n')
insert_idx = 0
if lines and lines[0].startswith('#!'):
insert_idx = 1
while insert_idx < len(lines) and lines[insert_idx].strip() == '':
insert_idx += 1
new_lines = lines[:insert_idx] + [insertion] + lines[insert_idx:]
return '\n'.join(new_lines)
def add_function_docstring(content: str, func_lineno: int, docstring: str) -> str:
"""Add a docstring to a function at the given line number."""
lines = content.split('\n')
idx = func_lineno - 1
indent = re.match(r'^(\s*)', lines[idx]).group(1)
doc_line = f'{indent} """{docstring}"""'
new_lines = lines[:idx + 1] + [doc_line] + lines[idx + 1:]
return '\n'.join(new_lines)
def generate_module_docstring(test_path: Path) -> str:
"""Generate a module-level docstring for a test file."""
module = derive_module_name(test_path)
count = count_tests_in_file(test_path.read_text())
if count > 0:
return f"Tests for {module}{count} tests."
return f"Tests for {module}."
def process_test_file(test_path: Path, dry_run: bool = False) -> Tuple[bool, List[str]]:
"""Process a single test file, adding missing docstrings. Returns (changed, messages)."""
content = test_path.read_text()
original = content
messages = []
if not has_module_docstring(content):
mod_doc = generate_module_docstring(test_path)
content = insert_after_shebang(content, f'''"""{mod_doc}"""''')
messages.append(f"Added module docstring: {mod_doc}")
try:
tree = ast.parse(content)
except SyntaxError as e:
messages.append(f"SKIP (syntax error): {e}")
return False, messages
funcs_to_doc: List[Tuple[int, str, str]] = []
for node in ast.walk(tree):
if isinstance(node, ast.FunctionDef) and node.name.startswith('test_'):
has_docstring = (
len(node.body) > 0 and
isinstance(node.body[0], ast.Expr) and
isinstance(node.body[0].value, ast.Constant) and
isinstance(node.body[0].value.value, str)
)
if not has_docstring:
func_body = ast.get_source_segment(content, node) or ""
doc = infer_test_purpose(node.name, func_body)
funcs_to_doc.append((node.lineno, node.name, doc))
funcs_to_doc.sort(key=lambda x: -x[0])
for lineno, func_name, doc in funcs_to_doc:
content = add_function_docstring(content, lineno, doc)
messages.append(f"Added docstring to {func_name}: {doc}")
changed = content != original
if changed and not dry_run:
test_path.write_text(content)
return changed, messages
def find_test_files(root: Path, max_files: int = 25) -> List[Path]:
"""Find test files under scripts/ and tests/ directories."""
test_files = []
for subdir in [root / "scripts", root / "tests"]:
if subdir.exists():
test_files.extend(subdir.glob("test_*.py"))
test_files.sort()
return test_files[:max_files]
def main():
import argparse
parser = argparse.ArgumentParser(description="Generate documentation for test files")
parser.add_argument("--dry-run", action="store_true", help="Show changes without writing")
parser.add_argument("--root", type=Path, default=Path.cwd(),
help="Repo root (default: current directory)")
parser.add_argument("--limit", type=int, default=25,
help="Max files to process per run (handles 20+ requirement)")
args = parser.parse_args()
root = args.root
test_files = find_test_files(root, args.limit)
print(f"Found {len(test_files)} test files to process (limit={args.limit}):")
total_changed = 0
for tf in test_files:
changed, msgs = process_test_file(tf, dry_run=args.dry_run)
if changed:
total_changed += 1
status = "CHANGED" if changed else "OK"
print(f" [{status}] {tf.relative_to(root)}")
for msg in msgs:
print(f" {msg}")
print(f"\nCompleted: {total_changed} file(s) modified, {len(test_files) - total_changed} already up-to-date.")
return 0
if __name__ == "__main__":
sys.exit(main())

View File

@@ -14,6 +14,7 @@ parse_issue_body = mod.parse_issue_body
def test_basic_parsing():
"""Verifies parsing logic for basic parsing."""
body = """## Context
This is the background info.
@@ -40,6 +41,7 @@ Some description.
def test_numbered_criteria():
"""Verifies numbered criteria logic."""
body = """## Acceptance Criteria
1. First item
@@ -53,6 +55,7 @@ def test_numbered_criteria():
def test_epic_ref_from_body():
"""Verifies epic ref from body logic."""
body = "Closes #123\n\nSome description."
result = parse_issue_body(body)
assert result["epic_ref"] == 123
@@ -60,6 +63,7 @@ def test_epic_ref_from_body():
def test_empty_body():
"""Verifies behavior with empty or None input."""
result = parse_issue_body("")
assert result["criteria"] == []
assert result["context"] == ""
@@ -68,6 +72,7 @@ def test_empty_body():
def test_no_sections():
"""Verifies no sections logic."""
body = "Just a plain issue body with no headings."
result = parse_issue_body(body)
assert result["context"] == "Just a plain issue body with no headings."
@@ -75,6 +80,7 @@ def test_no_sections():
def test_multiple_sections():
"""Verifies multiple sections logic."""
body = """## Problem
Something is broken.

View File

@@ -46,22 +46,27 @@ def check_test_sessions():
return True, f"{len(files)} valid sessions"
def test_prompt_structure():
"""Verifies prompt structure logic."""
passed, msg = check_prompt_structure()
assert passed, msg
def test_confidence_scoring():
"""Verifies confidence scoring logic."""
passed, msg = check_confidence_scoring()
assert passed, msg
def test_example_quality():
"""Verifies example quality logic."""
passed, msg = check_example_quality()
assert passed, msg
def test_constraint_coverage():
"""Verifies constraint coverage logic."""
passed, msg = check_constraint_coverage()
assert passed, msg
def test_test_sessions():
"""Verifies sessions logic."""
passed, msg = check_test_sessions()
assert passed, msg

View File

@@ -47,12 +47,14 @@ def _make_tool_calls(repeats):
# ── Tests ─────────────────────────────────────────────────────
def test_empty_sessions():
"""Verifies behavior with empty or None input."""
patterns = analyze_sessions([])
assert patterns == []
print("PASS: test_empty_sessions")
def test_no_patterns_on_clean_sessions():
"""Verifies no patterns on clean sessions logic."""
sessions = [
_make_session("s1", tool_calls=[{"tool": "read_file", "latency_ms": 50}]),
_make_session("s2", tool_calls=[{"tool": "write_file", "latency_ms": 80}]),

View File

@@ -17,6 +17,7 @@ compute_file_hash = mod.compute_file_hash
def test_fresh_entry():
"""Verifies fresh entry logic."""
with tempfile.TemporaryDirectory() as tmpdir:
src = os.path.join(tmpdir, "source.py")
with open(src, "w") as f:
@@ -31,6 +32,7 @@ def test_fresh_entry():
def test_stale_entry():
"""Verifies stale entry logic."""
with tempfile.TemporaryDirectory() as tmpdir:
src = os.path.join(tmpdir, "source.py")
with open(src, "w") as f:
@@ -47,6 +49,7 @@ def test_stale_entry():
def test_missing_source():
"""Verifies missing source logic."""
with tempfile.TemporaryDirectory() as tmpdir:
idx = os.path.join(tmpdir, "index.json")
with open(idx, "w") as f:
@@ -57,6 +60,7 @@ def test_missing_source():
def test_no_hash():
"""Verifies file hash computation correctness."""
with tempfile.TemporaryDirectory() as tmpdir:
src = os.path.join(tmpdir, "source.py")
with open(src, "w") as f:
@@ -71,6 +75,7 @@ def test_no_hash():
def test_no_source_field():
"""Verifies no source field logic."""
with tempfile.TemporaryDirectory() as tmpdir:
idx = os.path.join(tmpdir, "index.json")
with open(idx, "w") as f:
@@ -81,6 +86,7 @@ def test_no_source_field():
def test_fix_hashes():
"""Verifies file hash computation correctness."""
with tempfile.TemporaryDirectory() as tmpdir:
src = os.path.join(tmpdir, "source.py")
with open(src, "w") as f:
@@ -98,6 +104,7 @@ def test_fix_hashes():
def test_empty_index():
"""Verifies behavior with empty or None input."""
with tempfile.TemporaryDirectory() as tmpdir:
idx = os.path.join(tmpdir, "index.json")
with open(idx, "w") as f:
@@ -108,6 +115,7 @@ def test_empty_index():
def test_compute_hash_nonexistent():
"""Verifies behavior with empty or None input."""
h = compute_file_hash("/nonexistent/path/file.py")
assert h is None
print("PASS: test_compute_hash_nonexistent")

View File

@@ -1,235 +0,0 @@
#!/usr/bin/env python3
"""
Tests for knowledge_synthesizer.py — zero-shot knowledge synthesis pipeline.
Run with: python3 scripts/test_knowledge_synthesizer.py
Or via pytest: pytest scripts/test_knowledge_synthesizer.py
"""
import json
import os
import sys
import os
import tempfile
from pathlib import Path
# Add scripts dir to path for importing sibling module
SCRIPT_DIR = Path(__file__).resolve().parent
sys.path.insert(0, str(SCRIPT_DIR))
import importlib.util
spec = importlib.util.spec_from_file_location(
"ks", os.path.join(str(SCRIPT_DIR), "knowledge_synthesizer.py")
)
ks = importlib.util.module_from_spec(spec)
spec.loader.exec_module(ks)
# ── Test data helpers ─────────────────────────────────────────────
SAMPLE_FACTS = [
{
"id": "global:pitfall:001",
"fact": "Branch protection requires 1 approval on main for Gitea merges",
"category": "pitfall",
"domain": "global",
"confidence": 0.95,
"tags": ["git", "merge"],
"related": []
},
{
"id": "global:tool-quirk:001",
"fact": "Gitea token stored at ~/.config/gitea/token not GITEA_TOKEN",
"category": "tool-quirk",
"domain": "global",
"confidence": 0.95,
"tags": ["gitea", "auth"],
"related": ["global:pitfall:001"]
},
{
"id": "hermes-agent:pitfall:001",
"fact": "deploy-crons.py leaves jobs in mixed model format",
"category": "pitfall",
"domain": "hermes-agent",
"confidence": 0.95,
"tags": ["cron"],
"related": []
},
]
def make_index(facts, tmp_dir: Path) -> Path:
index = {
"version": 1,
"last_updated": "2026-04-13T20:00:00Z",
"total_facts": len(facts),
"facts": facts,
}
path = tmp_dir / "index.json"
with open(path, "w") as f:
json.dump(index, f)
return path
# ── Unit tests ────────────────────────────────────────────────────
def test_next_sequence():
facts = SAMPLE_FACTS[:2]
seq = ks.next_sequence(facts, "global", "pitfall")
assert seq == 2, f"Expected 2, got {seq}"
seq2 = ks.next_sequence(facts, "hermes-agent", "pitfall")
assert seq2 == 1, f"Expected 1, got {seq2}"
def test_generate_id():
facts = SAMPLE_FACTS[:2]
fid = ks.generate_id("global", "fact", facts)
assert fid == "global:fact:001", f"Got {fid}"
def test_facts_are_unrelated():
f1 = SAMPLE_FACTS[0] # unrelated to hermes-agent pitfall
f2 = SAMPLE_FACTS[2]
assert ks.facts_are_unrelated(f1, f2) is True
f3 = SAMPLE_FACTS[1] # related to f1
assert ks.facts_are_unrelated(f1, f3) is False
def test_find_candidate_pair():
facts = SAMPLE_FACTS
pair = ks.find_candidate_pair(facts)
assert pair is not None, "Should find an unrelated pair"
f1, f2 = pair
assert ks.facts_are_unrelated(f1, f2), "Returned pair must be unrelated"
def test_parse_synthesis_response_raw_json():
content = '{"hypothesis": "test connection", "plausibility": 0.8, "bridging_concepts": ["x"], "suggested_tags": ["a"]}'
result = ks.parse_synthesis_response(content)
assert result is not None
assert result["hypothesis"] == "test connection"
assert result["plausibility"] == 0.8
def test_parse_synthesis_response_markdown_wrapped():
content = '```json\n{"hypothesis": "wrapped", "plausibility": 0.5}\n```'
result = ks.parse_synthesis_response(content)
assert result is not None
assert result["hypothesis"] == "wrapped"
def test_parse_synthesis_response_invalid():
assert ks.parse_synthesis_response("not json") is None
assert ks.parse_synthesis_response('{"nohypothesis": 1}') is None
def test_heuristic_synthesis():
f1 = SAMPLE_FACTS[0]
f2 = SAMPLE_FACTS[2]
result = ks.heuristic_synthesis(f1, f2)
assert "hypothesis" in result
assert "plausibility" in result
assert result["plausibility"] == 0.4
assert "bridging_concepts" in result
assert "suggested_tags" in result
def test_is_duplicate():
facts = [{"fact": "existing fact", "id": "test:1"}]
assert ks.is_duplicate("existing fact", facts) is True
assert ks.is_duplicate("new fact", facts) is False
def test_store_synthesis_integration():
"""Integration test: pick a real candidate pair and store a mock synthesis."""
with tempfile.TemporaryDirectory() as tmp:
tmp_path = Path(tmp)
# Create fake knowledge dir with index
kdir = tmp_path / "knowledge"
kdir.mkdir()
index = {
"version": 1,
"last_updated": "2026-04-13T20:00:00Z",
"total_facts": 3,
"facts": SAMPLE_FACTS
}
with open(kdir / "index.json", "w") as f:
json.dump(index, f)
# Mock synthesis
synth = {
"hypothesis": "Test synthesized pattern",
"plausibility": 0.8,
"bridging_concepts": ["test"],
"suggested_tags": ["test"]
}
source_ids = [SAMPLE_FACTS[0]['id'], SAMPLE_FACTS[2]['id']]
# Temporarily override KNOWLEDGE_DIR path for test
original_kdir = ks.KNOWLEDGE_DIR
ks.KNOWLEDGE_DIR = kdir
try:
stored = ks.store_synthesis(synth, source_ids, index, threshold=0.5)
assert stored is True
assert index['total_facts'] == 4
new_fact = index['facts'][-1]
assert new_fact['fact'] == "Test synthesized pattern"
assert new_fact['category'] == "pattern"
assert new_fact['domain'] == "global"
assert new_fact['related'] == source_ids
assert new_fact['id'].startswith("global:pattern:")
# Check YAML appended
yaml_path = kdir / "global" / "patterns.yaml"
assert yaml_path.exists()
content = yaml_path.read_text()
assert "Test synthesized pattern" in content
finally:
ks.KNOWLEDGE_DIR = original_kdir
# ── Smoke test ────────────────────────────────────────────────────
def test_smoke_synthesizer_info():
"""Sanity check: script can at least load and report current knowledge state."""
index = ks.load_index()
total = index.get('total_facts', 0)
facts = index.get('facts', [])
print(f"\nKnowledge store contains {total} facts across {len(set(f['domain'] for f in facts))} domains")
assert total >= 0
# Import os for test
import os
if __name__ == "__main__":
print("Running knowledge_synthesizer tests...\n")
passed = 0
failed = 0
tests = [
test_next_sequence,
test_generate_id,
test_facts_are_unrelated,
test_find_candidate_pair,
test_parse_synthesis_response_raw_json,
test_parse_synthesis_response_markdown_wrapped,
test_parse_synthesis_response_invalid,
test_heuristic_synthesis,
test_is_duplicate,
test_store_synthesis_integration,
test_smoke_synthesizer_info,
]
for test in tests:
try:
test()
print(f"{test.__name__}")
passed += 1
except Exception as e:
import traceback; traceback.print_exc(); print(f"{test.__name__}: {e}")
failed += 1
print(f"\n{passed} passed, {failed} failed")
sys.exit(0 if failed == 0 else 1)

View File

@@ -11,6 +11,7 @@ from session_pair_harvester import extract_pairs_from_session, deduplicate_pairs
def test_basic_extraction():
"""Verifies basic extraction logic."""
session = {
"id": "test_001",
"model": "test-model",
@@ -29,6 +30,7 @@ def test_basic_extraction():
def test_filters_short_responses():
"""Verifies knowledge filtering by filters short responses."""
session = {
"id": "test_002",
"model": "test",
@@ -43,6 +45,7 @@ def test_filters_short_responses():
def test_skips_tool_results():
"""Verifies skips tool results logic."""
session = {
"id": "test_003",
"model": "test",
@@ -57,6 +60,7 @@ def test_skips_tool_results():
def test_deduplication():
"""Verifies deduplication logic."""
pairs = [
{"terse": "What is X?", "rich": "X is Y.", "source": "s1", "model": "m"},
{"terse": "What is X?", "rich": "X is Y.", "source": "s2", "model": "m"},
@@ -68,6 +72,7 @@ def test_deduplication():
def test_ratio_filter():
"""Verifies knowledge filtering by ratio filter."""
session = {
"id": "test_005",
"model": "test",

View File

@@ -1,47 +0,0 @@
# Knowledge Synthesis Prompt
## System Prompt
You are a knowledge synthesis engine. Given two facts, you generate a novel hypothesis
that connects them in a way no human would typically link — a zero-shot creative leap.
## Task
FACT A:
{fact_a}
FACT B:
{fact_b}
Generate a single JSON object:
{
"hypothesis": "one concise sentence linking the two facts as a new, testable insight",
"plausibility": 0.0-1.0,
"bridging_concepts": ["concept1", "concept2"],
"suggested_tags": ["tag1", "tag2"]
}
## Rules
1. The hypothesis must be a logical consequence of combining both facts.
2. DO NOT restate either fact — produce genuinely new insight.
3. Plausibility should reflect confidence given only these two facts.
4. If no meaningful connection exists, return {"hypothesis":"","plausibility":0.0}.
5. Output ONLY valid JSON — no markdown, no explanation.
## Examples
Input facts:
- "Gitea PR creation requires branch protection approval (1+) on main"
- "Git push hangs on large repos (pack.windowMemory=100m)"
Hypothesis output:
{
"hypothesis": "Branch protection triggers checks that inflate pack size, causing git push to hang on large repos",
"plausibility": 0.65,
"bridging_concepts": ["git", "gitea", "branch-protection", "push"],
"suggested_tags": ["git", "gitea", "performance"]
}
Output ONLY the JSON object.

View File

@@ -1,13 +1,16 @@
"""Tests for CI configuration — 2 tests."""
from pathlib import Path
def test_requirements_makefile_and_workflow_exist() -> None:
"""Verifies requirements makefile and workflow exist logic."""
assert Path("requirements.txt").exists()
assert Path("Makefile").exists()
assert Path(".gitea/workflows/test.yml").exists()
def test_ci_workflow_runs_project_test_command() -> None:
"""Verifies ci workflow runs project command logic."""
workflow = Path(".gitea/workflows/test.yml").read_text(encoding="utf-8")
requirements = Path("requirements.txt").read_text(encoding="utf-8")
makefile = Path("Makefile").read_text(encoding="utf-8")

View File

@@ -22,28 +22,34 @@ from dedup import (
class TestNormalize:
def test_lowercases(self):
"""Verifies lowercases logic."""
assert normalize_text("Hello World") == "hello world"
def test_collapses_whitespace(self):
"""Verifies collapses whitespace logic."""
assert normalize_text(" hello world ") == "hello world"
def test_strips(self):
"""Verifies strips logic."""
assert normalize_text(" text ") == "text"
class TestContentHash:
def test_deterministic(self):
"""Verifies deterministic logic."""
h1 = content_hash("Hello World")
h2 = content_hash("hello world")
h3 = content_hash(" Hello World ")
assert h1 == h2 == h3
def test_different_texts(self):
"""Verifies different texts logic."""
h1 = content_hash("Hello")
h2 = content_hash("World")
assert h1 != h2
def test_returns_hex(self):
"""Verifies returns hex logic."""
h = content_hash("test")
assert len(h) == 64 # SHA256
assert all(c in '0123456789abcdef' for c in h)
@@ -51,18 +57,21 @@ class TestContentHash:
class TestTokenize:
def test_extracts_words(self):
"""Verifies extracts words logic."""
tokens = tokenize("Hello World Test")
assert "hello" in tokens
assert "world" in tokens
assert "test" in tokens
def test_skips_short_words(self):
"""Verifies skips short words logic."""
tokens = tokenize("a to is the hello")
assert "a" not in tokens
assert "to" not in tokens
assert "hello" in tokens
def test_returns_set(self):
"""Verifies returns set logic."""
tokens = tokenize("hello hello world")
assert isinstance(tokens, set)
assert len(tokens) == 2
@@ -70,20 +79,25 @@ class TestTokenize:
class TestTokenSimilarity:
def test_identical(self):
"""Verifies identical logic."""
assert token_similarity("hello world", "hello world") == 1.0
def test_no_overlap(self):
"""Verifies no overlap logic."""
assert token_similarity("alpha beta", "gamma delta") == 0.0
def test_partial_overlap(self):
"""Verifies partial overlap logic."""
sim = token_similarity("hello world test", "hello universe test")
assert 0.3 < sim < 0.7
def test_empty(self):
"""Verifies behavior with empty or None input."""
assert token_similarity("", "hello") == 0.0
assert token_similarity("hello", "") == 0.0
def test_symmetric(self):
"""Verifies symmetric logic."""
a = "hello world test"
b = "hello universe test"
assert token_similarity(a, b) == token_similarity(b, a)
@@ -91,22 +105,26 @@ class TestTokenSimilarity:
class TestQualityScore:
def test_high_confidence(self):
"""Verifies high confidence logic."""
fact = {"confidence": 0.95, "source_count": 5, "tags": ["test"], "related": ["x"]}
score = quality_score(fact)
assert score > 0.7
def test_low_confidence(self):
"""Verifies low confidence logic."""
fact = {"confidence": 0.3, "source_count": 1}
score = quality_score(fact)
assert score < 0.5
def test_defaults(self):
"""Verifies defaults logic."""
score = quality_score({})
assert 0 < score < 1
class TestMergeFacts:
def test_merges_tags(self):
"""Verifies merges tags logic."""
keep = {"id": "a", "fact": "test", "tags": ["git"], "confidence": 0.9}
drop = {"id": "b", "fact": "test", "tags": ["python"], "confidence": 0.8}
merged = merge_facts(keep, drop)
@@ -114,18 +132,21 @@ class TestMergeFacts:
assert "python" in merged["tags"]
def test_merges_source_count(self):
"""Verifies merges source count logic."""
keep = {"id": "a", "fact": "test", "source_count": 3}
drop = {"id": "b", "fact": "test", "source_count": 2}
merged = merge_facts(keep, drop)
assert merged["source_count"] == 5
def test_keeps_higher_confidence(self):
"""Verifies keeps higher confidence logic."""
keep = {"id": "a", "fact": "test", "confidence": 0.7}
drop = {"id": "b", "fact": "test", "confidence": 0.9}
merged = merge_facts(keep, drop)
assert merged["confidence"] == 0.9
def test_tracks_merged_from(self):
"""Verifies tracks merged from logic."""
keep = {"id": "a", "fact": "test"}
drop = {"id": "b", "fact": "test"}
merged = merge_facts(keep, drop)
@@ -134,6 +155,7 @@ class TestMergeFacts:
class TestDedupFacts:
def test_removes_exact_dupes(self):
"""Verifies removes exact dupes logic."""
facts = [
{"id": "1", "fact": "Always use git rebase"},
{"id": "2", "fact": "Always use git rebase"}, # exact dupe
@@ -144,6 +166,7 @@ class TestDedupFacts:
assert stats["unique"] == 2
def test_removes_near_dupes(self):
"""Verifies removes near dupes logic."""
facts = [
{"id": "1", "fact": "Always check logs before deploying to production server"},
{"id": "2", "fact": "Always check logs before deploying to production environment"},
@@ -154,6 +177,7 @@ class TestDedupFacts:
assert stats["unique"] == 2
def test_preserves_unique(self):
"""Verifies preserves unique logic."""
facts = [
{"id": "1", "fact": "Use git rebase for clean history"},
{"id": "2", "fact": "Docker containers should be stateless"},
@@ -164,11 +188,13 @@ class TestDedupFacts:
assert stats["removed"] == 0
def test_empty_input(self):
"""Verifies behavior with empty or None input."""
deduped, stats = dedup_facts([])
assert stats["total"] == 0
assert stats["unique"] == 0
def test_keeps_higher_quality_near_dup(self):
"""Verifies keeps higher quality near dup logic."""
facts = [
{"id": "1", "fact": "Check logs before deploying to production server", "confidence": 0.5, "source_count": 1},
{"id": "2", "fact": "Check logs before deploying to production environment", "confidence": 0.9, "source_count": 5, "tags": ["ops"]},
@@ -179,6 +205,7 @@ class TestDedupFacts:
assert deduped[0]["confidence"] == 0.9
def test_dry_run_does_not_modify(self):
"""Verifies dry run does not modify logic."""
facts = [
{"id": "1", "fact": "Same text"},
{"id": "2", "fact": "Same text"},
@@ -191,16 +218,19 @@ class TestDedupFacts:
class TestGenerateTestDuplicates:
def test_generates_correct_count(self):
"""Verifies generates correct count logic."""
facts = generate_test_duplicates(20)
assert len(facts) > 20 # 20 unique + duplicates
def test_has_exact_dupes(self):
"""Verifies has exact dupes logic."""
facts = generate_test_duplicates(20)
hashes = [content_hash(f["fact"]) for f in facts]
# Should have some duplicate hashes
assert len(hashes) != len(set(hashes))
def test_dedup_removes_dupes(self):
"""Verifies dedup removes dupes logic."""
facts = generate_test_duplicates(20)
deduped, stats = dedup_facts(facts)
assert stats["unique"] <= 20

View File

@@ -20,6 +20,7 @@ def _make_repo(tmpdir, structure):
def test_undocumented_symbol():
"""Verifies undocumented symbol logic."""
with tempfile.TemporaryDirectory() as tmpdir:
_make_repo(tmpdir, {
"src/calculator.py": "def add(a, b):\n return a + b\n",
@@ -31,6 +32,7 @@ def test_undocumented_symbol():
def test_documented_symbol_no_gap():
"""Verifies documented symbol no gap logic."""
with tempfile.TemporaryDirectory() as tmpdir:
_make_repo(tmpdir, {
"src/calculator.py": "def add(a, b):\n return a + b\n",
@@ -43,6 +45,7 @@ def test_documented_symbol_no_gap():
def test_untested_module():
"""Verifies untested module logic."""
with tempfile.TemporaryDirectory() as tmpdir:
_make_repo(tmpdir, {
"src/calculator.py": "def add(a, b):\n return a + b\n",
@@ -55,6 +58,7 @@ def test_untested_module():
def test_tested_module_no_gap():
"""Verifies tested module no gap logic."""
with tempfile.TemporaryDirectory() as tmpdir:
_make_repo(tmpdir, {
"src/calculator.py": "def add(a, b):\n return a + b\n",
@@ -67,6 +71,7 @@ def test_tested_module_no_gap():
def test_missing_implementation():
"""Verifies missing implementation logic."""
with tempfile.TemporaryDirectory() as tmpdir:
_make_repo(tmpdir, {
"src/app.py": "def run():\n pass\n",
@@ -78,6 +83,7 @@ def test_missing_implementation():
def test_private_symbols_skipped():
"""Verifies private symbols skipped logic."""
with tempfile.TemporaryDirectory() as tmpdir:
_make_repo(tmpdir, {
"src/app.py": "def _internal():\n pass\ndef public():\n pass\n",
@@ -90,18 +96,21 @@ def test_private_symbols_skipped():
def test_empty_repo():
"""Verifies behavior with empty or None input."""
with tempfile.TemporaryDirectory() as tmpdir:
report = KnowledgeGapIdentifier().analyze(tmpdir)
assert len(report.gaps) == 0
def test_invalid_path():
"""Verifies invalid path logic."""
report = KnowledgeGapIdentifier().analyze("/nonexistent/path/xyz")
assert len(report.gaps) == 1
assert report.gaps[0].severity == GapSeverity.ERROR
def test_report_summary():
"""Verifies report summary logic."""
with tempfile.TemporaryDirectory() as tmpdir:
_make_repo(tmpdir, {
"src/app.py": "class MyService:\n def handle(self):\n pass\n",
@@ -114,6 +123,7 @@ def test_report_summary():
def test_report_to_dict():
"""Verifies report to dict logic."""
with tempfile.TemporaryDirectory() as tmpdir:
_make_repo(tmpdir, {
"src/app.py": "def hello():\n pass\n",

View File

@@ -32,6 +32,7 @@ class TestBottleneck:
"""Test Bottleneck dataclass."""
def test_creation(self):
"""Verifies creation logic."""
b = Bottleneck(
category="test",
name="test_foo",
@@ -48,6 +49,7 @@ class TestBottleneck:
assert b.line_number is None
def test_with_location(self):
"""Verifies with location logic."""
b = Bottleneck(
category="test",
name="test_bar",
@@ -61,6 +63,7 @@ class TestBottleneck:
assert b.line_number == 42
def test_to_dict(self):
"""Verifies to dict logic."""
b = Bottleneck("test", "x", 1.0, "info", "y")
d = b.__dict__
assert "category" in d
@@ -71,6 +74,7 @@ class TestPerfReport:
"""Test PerfReport dataclass."""
def test_creation(self):
"""Verifies creation logic."""
report = PerfReport(
timestamp="2026-01-01T00:00:00Z",
repo_path="/tmp/repo"
@@ -80,6 +84,7 @@ class TestPerfReport:
assert report.summary == {}
def test_to_dict(self):
"""Verifies to dict logic."""
report = PerfReport(
timestamp="2026-01-01T00:00:00Z",
repo_path="/tmp/repo",
@@ -94,6 +99,7 @@ class TestSeveritySort:
"""Test severity sorting."""
def test_critical_first(self):
"""Verifies critical first logic."""
items = [
Bottleneck("test", "a", 1.0, "info", ""),
Bottleneck("test", "b", 0.5, "critical", ""),
@@ -105,6 +111,7 @@ class TestSeveritySort:
assert items[2].severity == "info"
def test_duration_within_severity(self):
"""Verifies duration within severity logic."""
items = [
Bottleneck("test", "slow", 10.0, "warning", ""),
Bottleneck("test", "fast", 1.0, "warning", ""),
@@ -117,6 +124,7 @@ class TestSlowTestScan:
"""Test slow test pattern scanning."""
def test_finds_sleep(self, tmp_path):
"""Verifies finds sleep logic."""
test_file = tmp_path / "test_sleepy.py"
test_file.write_text(textwrap.dedent('''
import time
@@ -131,6 +139,7 @@ class TestSlowTestScan:
assert any("sleep" in b.recommendation.lower() for b in bottlenecks)
def test_finds_http_calls(self, tmp_path):
"""Verifies finds http calls logic."""
test_file = tmp_path / "test_http.py"
test_file.write_text(textwrap.dedent('''
import requests
@@ -145,6 +154,7 @@ class TestSlowTestScan:
assert any("HTTP" in b.recommendation or "mock" in b.recommendation.lower() for b in bottlenecks)
def test_skips_non_test_files(self, tmp_path):
"""Verifies skips non files logic."""
src_file = tmp_path / "main.py"
src_file.write_text("import time\ntime.sleep(10)\n")
@@ -152,10 +162,12 @@ class TestSlowTestScan:
assert len(bottlenecks) == 0
def test_handles_missing_dir(self):
"""Verifies handles missing dir logic."""
bottlenecks = find_slow_tests_by_scan("/nonexistent/path")
assert bottlenecks == []
def test_file_path_populated(self, tmp_path):
"""Verifies file path populated logic."""
test_file = tmp_path / "test_example.py"
test_file.write_text("import time\n\ndef test_it():\n time.sleep(2)\n")
@@ -169,6 +181,7 @@ class TestBuildArtifacts:
"""Test build artifact analysis."""
def test_finds_large_node_modules(self, tmp_path):
"""Verifies finds large node modules logic."""
nm = tmp_path / "node_modules"
nm.mkdir()
# Create a file > 10MB
@@ -180,6 +193,7 @@ class TestBuildArtifacts:
assert any("node_modules" in b.name for b in bottlenecks)
def test_ignores_small_dirs(self, tmp_path):
"""Verifies ignores small dirs logic."""
nm = tmp_path / "node_modules"
nm.mkdir()
small_file = nm / "small.txt"
@@ -189,6 +203,7 @@ class TestBuildArtifacts:
assert not any("node_modules" in b.name for b in bottlenecks)
def test_finds_pycache(self, tmp_path):
"""Verifies finds pycache logic."""
cache = tmp_path / "__pycache__"
cache.mkdir()
big_file = cache / "big.pyc"
@@ -202,6 +217,7 @@ class TestMakefileAnalysis:
"""Test Makefile analysis."""
def test_finds_pip_install(self, tmp_path):
"""Verifies finds pip install logic."""
makefile = tmp_path / "Makefile"
makefile.write_text(textwrap.dedent('''
install:
@@ -215,6 +231,7 @@ class TestMakefileAnalysis:
assert len(bottlenecks) >= 1
def test_no_makefile(self, tmp_path):
"""Verifies no makefile logic."""
bottlenecks = analyze_makefile_targets(str(tmp_path))
assert bottlenecks == []
@@ -223,6 +240,7 @@ class TestImportAnalysis:
"""Test heavy import detection."""
def test_finds_pandas(self, tmp_path):
"""Verifies finds pandas logic."""
src = tmp_path / "analysis.py"
src.write_text("import pandas as pd\n")
@@ -231,6 +249,7 @@ class TestImportAnalysis:
assert any("pandas" in b.name for b in bottlenecks)
def test_finds_torch(self, tmp_path):
"""Verifies finds torch logic."""
src = tmp_path / "model.py"
src.write_text("import torch\n")
@@ -238,6 +257,7 @@ class TestImportAnalysis:
assert any("torch" in b.name for b in bottlenecks)
def test_skips_light_imports(self, tmp_path):
"""Verifies skips light imports logic."""
src = tmp_path / "utils.py"
src.write_text("import json\nimport os\nimport sys\n")
@@ -249,12 +269,14 @@ class TestGenerateReport:
"""Test full report generation."""
def test_empty_repo(self, tmp_path):
"""Verifies behavior with empty or None input."""
report = generate_report(str(tmp_path))
assert report.summary["total_bottlenecks"] >= 0
assert "critical" in report.summary
assert "warning" in report.summary
def test_with_findings(self, tmp_path):
"""Verifies with findings logic."""
# Create a test file with issues
test_file = tmp_path / "test_slow.py"
test_file.write_text(textwrap.dedent('''
@@ -273,6 +295,7 @@ class TestGenerateReport:
assert len(report.bottlenecks) > 0
def test_summary_categories(self, tmp_path):
"""Verifies summary categories logic."""
report = generate_report(str(tmp_path))
assert "by_category" in report.summary
@@ -281,6 +304,7 @@ class TestMarkdownReport:
"""Test markdown output."""
def test_format(self):
"""Verifies format logic."""
report = PerfReport(
timestamp="2026-01-01T00:00:00Z",
repo_path="/tmp/repo",
@@ -303,6 +327,7 @@ class TestMarkdownReport:
assert "Fix it" in md
def test_empty_report(self):
"""Verifies behavior with empty or None input."""
report = PerfReport(
timestamp="2026-01-01T00:00:00Z",
repo_path="/tmp/repo",

View File

@@ -21,27 +21,32 @@ from quality_gate import (
class TestScoreSpecificity(unittest.TestCase):
def test_specific_content_scores_high(self):
"""Verifies specific content scores high logic."""
content = "Run `python3 deploy.py --env prod` on 2026-04-15. Example: step 1 configure nginx."
score = score_specificity(content)
self.assertGreater(score, 0.6)
def test_vague_content_scores_low(self):
"""Verifies vague content scores low logic."""
content = "It generally depends. Various factors might affect this. Basically, it varies."
score = score_specificity(content)
self.assertLess(score, 0.5)
def test_empty_scores_baseline(self):
"""Verifies behavior with empty or None input."""
score = score_specificity("")
self.assertAlmostEqual(score, 0.5, delta=0.1)
class TestScoreActionability(unittest.TestCase):
def test_actionable_content_scores_high(self):
"""Verifies actionable content scores high logic."""
content = "1. Run `pip install -r requirements.txt`\n2. Execute `python3 train.py`\n3. Verify with `pytest`"
score = score_actionability(content)
self.assertGreater(score, 0.6)
def test_abstract_content_scores_low(self):
"""Verifies abstract content scores low logic."""
content = "The concept of intelligence is fascinating and multifaceted."
score = score_actionability(content)
self.assertLess(score, 0.5)
@@ -49,33 +54,40 @@ class TestScoreActionability(unittest.TestCase):
class TestScoreFreshness(unittest.TestCase):
def test_recent_timestamp_scores_high(self):
"""Verifies recent timestamp scores high logic."""
recent = datetime.now(timezone.utc).isoformat()
score = score_freshness(recent)
self.assertGreater(score, 0.9)
def test_old_timestamp_scores_low(self):
"""Verifies old timestamp scores low logic."""
old = (datetime.now(timezone.utc) - timedelta(days=365)).isoformat()
score = score_freshness(old)
self.assertLess(score, 0.2)
def test_none_returns_baseline(self):
"""Verifies behavior with empty or None input."""
score = score_freshness(None)
self.assertEqual(score, 0.5)
class TestScoreSourceQuality(unittest.TestCase):
def test_claude_scores_high(self):
"""Verifies claude scores high logic."""
self.assertGreater(score_source_quality("claude-sonnet"), 0.85)
def test_ollama_scores_lower(self):
"""Verifies ollama scores lower logic."""
self.assertLess(score_source_quality("ollama"), 0.7)
def test_unknown_returns_default(self):
"""Verifies unknown returns default logic."""
self.assertEqual(score_source_quality("unknown"), 0.5)
class TestScoreEntry(unittest.TestCase):
def test_good_entry_scores_high(self):
"""Verifies good entry scores high logic."""
entry = {
"content": "To deploy: run `kubectl apply -f deployment.yaml`. Verify with `kubectl get pods`.",
"model": "claude-sonnet",
@@ -85,6 +97,7 @@ class TestScoreEntry(unittest.TestCase):
self.assertGreater(score, 0.6)
def test_poor_entry_scores_low(self):
"""Verifies poor entry scores low logic."""
entry = {
"content": "It depends. Various things might happen.",
"model": "unknown",
@@ -95,6 +108,7 @@ class TestScoreEntry(unittest.TestCase):
class TestFilterEntries(unittest.TestCase):
def test_filters_low_quality(self):
"""Verifies knowledge filtering by filters low quality."""
entries = [
{"content": "Run `deploy.py` to fix the issue.", "model": "claude"},
{"content": "It might work sometimes.", "model": "unknown"},