test: add tests for issue body parser (#90)

scripts/gitea_issue_parser.py

@@ -0,0 +1,162 @@
+#!/usr/bin/env python3
+"""
+Gitea Issue Body Parser
+
+Extracts structured data from Gitea issue markdown bodies:
+- Title
+- Context section
+- Acceptance criteria (checkboxes)
+- Labels
+- Epic/parent references
+
+Usage:
+  python3 scripts/gitea_issue_parser.py <issue_body.txt
+  python3 scripts/gitea_issue_parser.py --url https://forge.../api/v1/repos/.../issues/123
+  echo "issue body" | python3 scripts/gitea_issue_parser.py --stdin
+
+Output: JSON with {title, context, criteria[], labels[], epic_ref}
+"""
+
+import argparse
+import json
+import re
+import sys
+from typing import Optional
+
+
+def parse_issue_body(body: str, title: str = "", labels: list = None) -> dict:
+    """Parse a Gitea issue body into structured JSON."""
+    result = {
+        "title": title,
+        "context": "",
+        "criteria": [],
+        "labels": labels or [],
+        "epic_ref": None,
+        "sections": {},
+    }
+
+    if not body:
+        return result
+
+    # Extract epic/parent reference from title or body
+    epic_pattern = r"#(\d+)"
+    title_refs = re.findall(epic_pattern, title)
+    body_refs = re.findall(epic_pattern, body[:200])  # Check early body refs
+
+    # Look for "Closes #N" or "Part of #N" or "Epic: #N"
+    close_match = re.search(r"(?:Closes?|Fixes?|Resolves?)\s+#(\d+)", body, re.IGNORECASE)
+    part_match = re.search(r"(?:Part of|Epic|Parent|Blocks?)\s+#(\d+)", body, re.IGNORECASE)
+
+    if close_match:
+        result["epic_ref"] = f"#{close_match.group(1)}"
+    elif part_match:
+        result["epic_ref"] = f"#{part_match.group(1)}"
+    elif title_refs:
+        result["epic_ref"] = f"#{title_refs[0]}"
+    elif body_refs:
+        result["epic_ref"] = f"#{body_refs[0]}"
+
+    # Split into sections by ## headers
+    section_pattern = r"^##\s+(.+)$"
+    lines = body.split("\n")
+    current_section = None
+    current_content = []
+
+    for line in lines:
+        header_match = re.match(section_pattern, line)
+        if header_match:
+            # Save previous section
+            if current_section:
+                result["sections"][current_section] = "\n".join(current_content).strip()
+            current_section = header_match.group(1).strip().lower()
+            current_content = []
+        else:
+            current_content.append(line)
+
+    # Save last section
+    if current_section:
+        result["sections"][current_section] = "\n".join(current_content).strip()
+
+    # Extract context
+    for key in ["context", "background", "description", "problem"]:
+        if key in result["sections"]:
+            result["context"] = result["sections"][key]
+            break
+
+    # Extract acceptance criteria (checkboxes)
+    criteria_section = None
+    for key in ["acceptance criteria", "acceptance_criteria", "criteria", "requirements", "definition of done"]:
+        if key in result["sections"]:
+            criteria_section = result["sections"][key]
+            break
+
+    if criteria_section:
+        checkbox_pattern = r"-\s*\[[ xX]?\]\s*(.+)"
+        for match in re.finditer(checkbox_pattern, criteria_section):
+            result["criteria"].append(match.group(1).strip())
+
+        # Also try plain numbered/bulleted lists if no checkboxes found
+        if not result["criteria"]:
+            list_pattern = r"^\s*(?:\d+\.|-|\*)\s+(.+)"
+            for match in re.finditer(list_pattern, criteria_section, re.MULTILINE):
+                result["criteria"].append(match.group(1).strip())
+
+    # If no sectioned criteria found, scan whole body for checkboxes
+    if not result["criteria"]:
+        for match in re.finditer(r"-\s*\[[ xX]?\]\s*(.+)", body):
+            result["criteria"].append(match.group(1).strip())
+
+    return result
+
+
+def parse_from_url(api_url: str, token: str = None) -> dict:
+    """Parse an issue from a Gitea API URL."""
+    import urllib.request
+
+    headers = {}
+    if token:
+        headers["Authorization"] = f"token {token}"
+
+    req = urllib.request.Request(api_url, headers=headers)
+    resp = json.loads(urllib.request.urlopen(req, timeout=30).read())
+
+    title = resp.get("title", "")
+    body = resp.get("body", "")
+    labels = [l["name"] for l in resp.get("labels", [])]
+
+    return parse_issue_body(body, title, labels)
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Parse Gitea issue body into structured JSON")
+    parser.add_argument("input", nargs="?", help="Issue body file (or - for stdin)")
+    parser.add_argument("--url", help="Gitea API URL for the issue")
+    parser.add_argument("--stdin", action="store_true", help="Read from stdin")
+    parser.add_argument("--token", help="Gitea API token (or set GITEA_TOKEN env var)")
+    parser.add_argument("--title", default="", help="Issue title (for epic ref extraction)")
+    parser.add_argument("--labels", nargs="*", default=[], help="Issue labels")
+    parser.add_argument("--pretty", action="store_true", help="Pretty-print JSON output")
+    args = parser.parse_args()
+
+    import os
+    token = args.token or os.environ.get("GITEA_TOKEN")
+
+    if args.url:
+        result = parse_from_url(args.url, token)
+    elif args.stdin or (args.input and args.input == "-"):
+        body = sys.stdin.read()
+        result = parse_issue_body(body, args.title, args.labels)
+    elif args.input:
+        with open(args.input) as f:
+            body = f.read()
+        result = parse_issue_body(body, args.title, args.labels)
+    else:
+        parser.print_help()
+        sys.exit(1)
+
+    indent = 2 if args.pretty else None
+    print(json.dumps(result, indent=indent))
+
+
+if __name__ == "__main__":
+    main()

scripts/knowledge_staleness_check.py

@@ -1,131 +0,0 @@
-#!/usr/bin/env python3
-"""
-Knowledge Store Staleness Detector — Detect stale knowledge entries by comparing source file hashes.
-
-Usage:
-    python3 scripts/knowledge_staleness_check.py --index knowledge/index.json
-    python3 scripts/knowledge_staleness_check.py --index knowledge/index.json --json
-    python3 scripts/knowledge_staleness_check.py --index knowledge/index.json --fix
-"""
-
-import argparse
-import hashlib
-import json
-import os
-import sys
-from datetime import datetime, timezone
-from pathlib import Path
-from typing import Dict, List, Any, Optional
-
-
-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 check_staleness(index_path: str, repo_root: str = ".") -> List[Dict[str, Any]]:
-    """Check all entries in knowledge index for staleness.
-    
-    Returns list of entries with staleness info:
-    - status: "fresh" | "stale" | "missing_source" | "no_hash"
-    - current_hash: computed hash (if source exists)
-    - stored_hash: hash from index
-    """
-    with open(index_path) as f:
-        data = json.load(f)
-
-    facts = data.get("facts", [])
-    results = []
-
-    for entry in facts:
-        source_file = entry.get("source_file")
-        stored_hash = entry.get("source_hash")
-
-        if not source_file:
-            results.append({**entry, "status": "no_source", "current_hash": None})
-            continue
-
-        full_path = os.path.join(repo_root, source_file)
-        current_hash = compute_file_hash(full_path)
-
-        if current_hash is None:
-            results.append({**entry, "status": "missing_source", "current_hash": None})
-        elif not stored_hash:
-            results.append({**entry, "status": "no_hash", "current_hash": current_hash})
-        elif current_hash != stored_hash:
-            results.append({**entry, "status": "stale", "current_hash": current_hash})
-        else:
-            results.append({**entry, "status": "fresh", "current_hash": current_hash})
-
-    return results
-
-
-def fix_hashes(index_path: str, repo_root: str = ".") -> int:
-    """Add hashes to entries missing them. Returns count of fixed entries."""
-    with open(index_path) as f:
-        data = json.load(f)
-
-    fixed = 0
-    for entry in data.get("facts", []):
-        if entry.get("source_hash"):
-            continue
-        source_file = entry.get("source_file")
-        if not source_file:
-            continue
-        full_path = os.path.join(repo_root, source_file)
-        h = compute_file_hash(full_path)
-        if h:
-            entry["source_hash"] = h
-            fixed += 1
-
-    with open(index_path, "w") as f:
-        json.dump(data, f, indent=2)
-
-    return fixed
-
-
-def main():
-    parser = argparse.ArgumentParser(description="Check knowledge store staleness")
-    parser.add_argument("--index", required=True, help="Path to knowledge/index.json")
-    parser.add_argument("--repo", default=".", help="Repo root for source file resolution")
-    parser.add_argument("--json", action="store_true", help="Output as JSON")
-    parser.add_argument("--fix", action="store_true", help="Add hashes to entries missing them")
-
-    args = parser.parse_args()
-
-    if args.fix:
-        fixed = fix_hashes(args.index, args.repo)
-        print(f"Fixed {fixed} entries with missing hashes.")
-        return
-
-    results = check_staleness(args.index, args.repo)
-
-    if args.json:
-        print(json.dumps(results, indent=2))
-    else:
-        stale = [r for r in results if r["status"] != "fresh"]
-        fresh = [r for r in results if r["status"] == "fresh"]
-
-        print(f"Knowledge Store Staleness Check")
-        print(f"  Total entries: {len(results)}")
-        print(f"  Fresh: {len(fresh)}")
-        print(f"  Stale/Issues: {len(stale)}")
-        print()
-
-        if stale:
-            print("Issues found:")
-            for r in stale:
-                status = r["status"]
-                fact = r.get("fact", "?")[:60]
-                source = r.get("source_file", "?")
-                print(f"  [{status}] {source}: {fact}")
-        else:
-            print("All entries are fresh!")
-
-
-if __name__ == "__main__":
-    main()

scripts/priority_rebalancer.py

@@ -1,682 +0,0 @@
-#!/usr/bin/env python3
-"""
-Priority Rebalancer — Re-evaluate issue priorities based on accumulated data.
-
-Reads pipeline outputs, knowledge store, and Gitea issues to suggest
-priority changes based on what the fleet has learned.
-
-Usage:
-    python3 scripts/priority_rebalancer.py --org Timmy_Foundation
-    python3 scripts/priority_rebalancer.py --org Timmy_Foundation --repo compounding-intelligence
-    python3 scripts/priority_rebalancer.py --org Timmy_Foundation --dry-run
-    python3 scripts/priority_rebalancer.py --org Timmy_Foundation --apply
-
-Output:
-    metrics/priority_report.json   — full analysis
-    metrics/priority_suggestions.md — human-readable suggestions
-"""
-
-import argparse
-import json
-import os
-import sys
-from datetime import datetime, timezone, timedelta
-from pathlib import Path
-from typing import Dict, List, Any, Optional, Tuple
-from dataclasses import dataclass, field, asdict
-from collections import Counter, defaultdict
-import urllib.request
-import urllib.error
-
-
-# ============================================================
-# Data Models
-# ============================================================
-
-@dataclass
-class IssueScore:
-    issue_id: int
-    repo: str
-    title: str
-    current_labels: List[str]
-    current_priority: Optional[str]
-    suggested_priority: Optional[str]
-    score: float
-    reasons: List[str]
-    age_days: int
-    comment_count: int
-    assignee: Optional[str]
-    dependencies: List[str] = field(default_factory=list)
-    blocking: List[str] = field(default_factory=list)
-
-
-@dataclass
-class PipelineSignal:
-    source: str  # "knowledge", "metrics", "sessions", "staleness"
-    signal_type: str  # "stale_knowledge", "high_error_rate", "missing_coverage", etc.
-    weight: float  # 0.0 - 1.0
-    detail: str
-    affected_repos: List[str] = field(default_factory=list)
-    affected_issues: List[int] = field(default_factory=list)
-
-
-# ============================================================
-# Gitea API Client
-# ============================================================
-
-class GiteaClient:
-    def __init__(self, base_url: str, token: str):
-        self.base_url = base_url.rstrip("/")
-        self.token = token
-
-    def _request(self, path: str, params: Dict = None) -> Any:
-        url = f"{self.base_url}/api/v1{path}"
-        if params:
-            qs = "&".join(f"{k}={v}" for k, v in params.items() if v is not None)
-            url += f"?{qs}"
-
-        req = urllib.request.Request(url)
-        req.add_header("Authorization", f"token {self.token}")
-        req.add_header("Content-Type", "application/json")
-
-        try:
-            with urllib.request.urlopen(req, timeout=30) as resp:
-                return json.loads(resp.read().decode())
-        except urllib.error.HTTPError as e:
-            print(f"API error {e.code} for {path}: {e.read().decode()[:200]}", file=sys.stderr)
-            return None
-
-    def get_org_repos(self, org: str) -> List[Dict]:
-        repos = []
-        page = 1
-        while True:
-            batch = self._request(f"/orgs/{org}/repos", {"limit": 50, "page": page})
-            if not batch:
-                break
-            repos.extend(batch)
-            if len(batch) < 50:
-                break
-            page += 1
-        return repos
-
-    def get_issues(self, org: str, repo: str, state: str = "open") -> List[Dict]:
-        issues = []
-        page = 1
-        while True:
-            batch = self._request(f"/repos/{org}/{repo}/issues",
-                                  {"state": state, "limit": 50, "page": page, "type": "issues"})
-            if not batch:
-                break
-            issues.extend(batch)
-            if len(batch) < 50:
-                break
-            page += 1
-        return issues
-
-    def add_label_to_issue(self, org: str, repo: str, issue_num: int, label_ids: List[int]) -> bool:
-        url = f"{self.base_url}/api/v1/repos/{org}/{repo}/issues/{issue_num}/labels"
-        data = json.dumps({"labels": label_ids}).encode()
-        req = urllib.request.Request(url, data=data, method="POST")
-        req.add_header("Authorization", f"token {self.token}")
-        req.add_header("Content-Type", "application/json")
-        try:
-            with urllib.request.urlopen(req, timeout=15) as resp:
-                return resp.status == 200
-        except Exception:
-            return False
-
-    def remove_label_from_issue(self, org: str, repo: str, issue_num: int, label_id: int) -> bool:
-        url = f"{self.base_url}/api/v1/repos/{org}/{repo}/issues/{issue_num}/labels/{label_id}"
-        req = urllib.request.Request(url, method="DELETE")
-        req.add_header("Authorization", f"token {self.token}")
-        try:
-            with urllib.request.urlopen(req, timeout=15) as resp:
-                return resp.status == 200
-        except Exception:
-            return False
-
-    def get_repo_labels(self, org: str, repo: str) -> List[Dict]:
-        labels = []
-        page = 1
-        while True:
-            batch = self._request(f"/repos/{org}/{repo}/labels", {"limit": 50, "page": page})
-            if not batch:
-                break
-            labels.extend(batch)
-            if len(batch) < 50:
-                break
-            page += 1
-        return labels
-
-    def add_comment(self, org: str, repo: str, issue_num: int, body: str) -> bool:
-        url = f"{self.base_url}/api/v1/repos/{org}/{repo}/issues/{issue_num}/comments"
-        data = json.dumps({"body": body}).encode()
-        req = urllib.request.Request(url, data=data, method="POST")
-        req.add_header("Authorization", f"token {self.token}")
-        req.add_header("Content-Type", "application/json")
-        try:
-            with urllib.request.urlopen(req, timeout=15) as resp:
-                return resp.status == 201
-        except Exception:
-            return False
-
-
-# ============================================================
-# Pipeline Signal Collectors
-# ============================================================
-
-def collect_knowledge_signals(knowledge_dir: str) -> List[PipelineSignal]:
-    """Analyze knowledge store for coverage gaps and staleness."""
-    signals = []
-    index_path = os.path.join(knowledge_dir, "index.json")
-
-    if not os.path.exists(index_path):
-        signals.append(PipelineSignal(
-            source="knowledge",
-            signal_type="missing_index",
-            weight=0.8,
-            detail="knowledge/index.json not found — no knowledge base exists"
-        ))
-        return signals
-
-    try:
-        with open(index_path) as f:
-            data = json.load(f)
-    except (json.JSONDecodeError, IOError) as e:
-        signals.append(PipelineSignal(
-            source="knowledge",
-            signal_type="corrupt_index",
-            weight=0.9,
-            detail=f"knowledge/index.json is corrupt: {e}"
-        ))
-        return signals
-
-    facts = data.get("facts", [])
-    total = len(facts)
-
-    if total == 0:
-        signals.append(PipelineSignal(
-            source="knowledge",
-            signal_type="empty_knowledge",
-            weight=0.7,
-            detail="Knowledge store has 0 facts — harvester not running or not finding sessions"
-        ))
-        return signals
-
-    # Check staleness
-    stale_count = 0
-    missing_source = 0
-    for fact in facts:
-        status = fact.get("status", "unknown")
-        if status == "stale":
-            stale_count += 1
-        elif status in ("missing_source", "no_source"):
-            missing_source += 1
-
-    if stale_count > 0:
-        signals.append(PipelineSignal(
-            source="knowledge",
-            signal_type="stale_knowledge",
-            weight=min(1.0, stale_count / max(1, total)),
-            detail=f"{stale_count}/{total} facts are stale (source files changed)"
-        ))
-
-    if missing_source > 0:
-        signals.append(PipelineSignal(
-            source="knowledge",
-            signal_type="missing_sources",
-            weight=min(1.0, missing_source / max(1, total)),
-            detail=f"{missing_source}/{total} facts have missing source files"
-        ))
-
-    # Coverage by repo
-    repo_counts = Counter(f.get("repo", "unknown") for f in facts)
-    if len(repo_counts) < 3:
-        signals.append(PipelineSignal(
-            source="knowledge",
-            signal_type="low_coverage",
-            weight=0.5,
-            detail=f"Knowledge covers only {len(repo_counts)} repos — expand harvester scope",
-            affected_repos=list(repo_counts.keys())
-        ))
-
-    return signals
-
-
-def collect_staleness_signals(scripts_dir: str, knowledge_dir: str) -> List[PipelineSignal]:
-    """Run staleness checker if available."""
-    signals = []
-    checker = os.path.join(scripts_dir, "knowledge_staleness_check.py")
-    index_path = os.path.join(knowledge_dir, "index.json")
-
-    if not os.path.exists(checker) or not os.path.exists(index_path):
-        return signals
-
-    try:
-        import subprocess
-        result = subprocess.run(
-            ["python3", checker, "--index", index_path, "--json"],
-            capture_output=True, text=True, timeout=30
-        )
-        if result.returncode == 0:
-            data = json.loads(result.stdout)
-            stale = data.get("stale_count", 0)
-            total = data.get("total", 0)
-            if stale > 0:
-                signals.append(PipelineSignal(
-                    source="staleness",
-                    signal_type="stale_knowledge",
-                    weight=min(1.0, stale / max(1, total)),
-                    detail=f"Staleness checker found {stale}/{total} stale entries"
-                ))
-    except Exception:
-        pass
-
-    return signals
-
-
-def collect_metrics_signals(metrics_dir: str) -> List[PipelineSignal]:
-    """Analyze metrics directory for pipeline health."""
-    signals = []
-
-    if not os.path.isdir(metrics_dir):
-        return signals
-
-    files = os.listdir(metrics_dir)
-    if len(files) <= 1:  # Only .gitkeep
-        signals.append(PipelineSignal(
-            source="metrics",
-            signal_type="no_metrics",
-            weight=0.6,
-            detail="Metrics directory is empty — measurer pipeline not producing output"
-        ))
-
-    return signals
-
-
-# ============================================================
-# Priority Scoring Engine
-# ============================================================
-
-PRIORITY_LEVELS = ["P0", "P1", "P2", "P3", "none"]
-PRIORITY_LABELS = {"p0": "P0", "p1": "P1", "p2": "P2", "p3": "P3",
-                   "priority:critical": "P0", "priority:high": "P1",
-                   "priority:medium": "P2", "priority:low": "P3"}
-
-
-def extract_priority(labels: List[str]) -> Optional[str]:
-    """Extract priority level from issue labels."""
-    for label in labels:
-        lower = label.lower().strip()
-        if lower in PRIORITY_LABELS:
-            return PRIORITY_LABELS[lower]
-    return None
-
-
-def compute_issue_score(
-    issue: Dict,
-    repo: str,
-    signals: List[PipelineSignal],
-    now: datetime
-) -> IssueScore:
-    """Compute priority score for a single issue."""
-
-    labels = [l.get("name", "") if isinstance(l, dict) else l for l in issue.get("labels", [])]
-    title = issue.get("title", "")
-    issue_id = issue.get("number", 0)
-    current_priority = extract_priority(labels)
-
-    # Parse dates
-    created_str = issue.get("created_at", "")
-    try:
-        created = datetime.fromisoformat(created_str.replace("Z", "+00:00"))
-        age_days = (now - created.replace(tzinfo=None)).days
-    except (ValueError, AttributeError):
-        age_days = 0
-
-    comment_count = issue.get("comments", 0)
-    assignee = None
-    assignees = issue.get("assignees") or []
-    if assignees:
-        assignee = assignees[0].get("login") if isinstance(assignees[0], dict) else str(assignees[0])
-
-    # Base score
-    score = 0.0
-    reasons = []
-
-    # Age factor: older issues drift down unless actively discussed
-    if age_days > 90 and comment_count < 2:
-        score -= 15
-        reasons.append(f"Dormant: {age_days} days old with only {comment_count} comments")
-    elif age_days > 30:
-        score -= 5
-        reasons.append(f"Aging: {age_days} days old")
-
-    # Activity factor: recent discussion suggests urgency
-    if comment_count > 5:
-        score += 10
-        reasons.append(f"Active discussion: {comment_count} comments")
-    elif comment_count > 0:
-        score += 3
-
-    # Assignment factor: unassigned issues need triage
-    if not assignee:
-        score += 5
-        reasons.append("Unassigned — needs triage")
-
-    # Pipeline signal alignment
-    for signal in signals:
-        title_lower = title.lower()
-        if signal.signal_type == "stale_knowledge" and "stale" in title_lower:
-            score += signal.weight * 20
-            reasons.append(f"Matches signal: {signal.detail}")
-        elif signal.signal_type == "empty_knowledge" and ("harvester" in title_lower or "knowledge" in title_lower):
-            score += signal.weight * 25
-            reasons.append(f"Critical gap: {signal.detail}")
-        elif signal.signal_type == "no_metrics" and "measur" in title_lower:
-            score += signal.weight * 15
-            reasons.append(f"Pipeline gap: {signal.detail}")
-        elif signal.signal_type == "low_coverage" and any(r.lower() in title_lower for r in signal.affected_repos):
-            score += signal.weight * 10
-            reasons.append(f"Coverage gap: {signal.detail}")
-
-    # Keyword boosts
-    keyword_scores = {
-        "broken": 20, "bug": 15, "fix": 10, "error": 12, "fail": 15,
-        "security": 25, "auth": 20, "data loss": 30, "crash": 25,
-        "blocker": 20, "urgent": 15, "critical": 15,
-        "epic": 8, "feature": -3, "nice to have": -10, "someday": -15
-    }
-    title_lower = title.lower()
-    for keyword, boost in keyword_scores.items():
-        if keyword in title_lower:
-            score += boost
-            if boost > 0:
-                reasons.append(f"Keyword match: '{keyword}' (+{boost})")
-
-    # Label-based adjustments
-    for label in labels:
-        lower = label.lower()
-        if lower == "pipeline":
-            score += 5  # Pipeline issues are infrastructure
-        elif lower == "bug":
-            score += 12
-        elif lower == "enhancement":
-            score -= 2
-        elif lower == "documentation":
-            score -= 5
-        elif "epic" in lower:
-            score += 3
-
-    # Determine suggested priority
-    if score >= 40:
-        suggested = "P0"
-    elif score >= 25:
-        suggested = "P1"
-    elif score >= 10:
-        suggested = "P2"
-    elif score >= 0:
-        suggested = "P3"
-    else:
-        suggested = None  # Consider closing or deprioritizing
-
-    return IssueScore(
-        issue_id=issue_id,
-        repo=repo,
-        title=title,
-        current_labels=labels,
-        current_priority=current_priority,
-        suggested_priority=suggested,
-        score=round(score, 1),
-        reasons=reasons if reasons else ["No strong signals"],
-        age_days=age_days,
-        comment_count=comment_count,
-        assignee=assignee
-    )
-
-
-# ============================================================
-# Report Generation
-# ============================================================
-
-def generate_report(
-    scores: List[IssueScore],
-    signals: List[PipelineSignal],
-    org: str,
-    repos_scanned: List[str]
-) -> Dict[str, Any]:
-    """Generate the full priority report."""
-    now = datetime.now(timezone.utc).isoformat()
-
-    # Categorize changes
-    upgrades = [s for s in scores if s.suggested_priority and s.current_priority and
-                PRIORITY_LEVELS.index(s.suggested_priority) < PRIORITY_LEVELS.index(s.current_priority)]
-    downgrades = [s for s in scores if s.suggested_priority and s.current_priority and
-                  PRIORITY_LEVELS.index(s.suggested_priority) > PRIORITY_LEVELS.index(s.current_priority)]
-    new_assignments = [s for s in scores if s.suggested_priority and not s.current_priority]
-    no_change = [s for s in scores if s.suggested_priority == s.current_priority]
-
-    return {
-        "generated_at": now,
-        "org": org,
-        "repos_scanned": repos_scanned,
-        "total_issues": len(scores),
-        "signals": [asdict(s) for s in signals],
-        "summary": {
-            "suggested_upgrades": len(upgrades),
-            "suggested_downgrades": len(downgrades),
-            "suggested_new_priorities": len(new_assignments),
-            "unchanged": len(no_change)
-        },
-        "top_priority": [asdict(s) for s in sorted(scores, key=lambda x: x.score, reverse=True)[:10]],
-        "upgrades": [asdict(s) for s in upgrades],
-        "downgrades": [asdict(s) for s in downgrades],
-        "new_assignments": [asdict(s) for s in new_assignments],
-        "all_scores": [asdict(s) for s in sorted(scores, key=lambda x: x.score, reverse=True)]
-    }
-
-
-def generate_markdown_report(report: Dict[str, Any]) -> str:
-    """Generate human-readable markdown report."""
-    lines = []
-    lines.append("# Priority Rebalancer Report")
-    lines.append(f"**Generated:** {report['generated_at']}")
-    lines.append(f"**Org:** {report['org']}")
-    lines.append(f"**Repos scanned:** {', '.join(report['repos_scanned'])}")
-    lines.append(f"**Issues analyzed:** {report['total_issues']}")
-    lines.append("")
-
-    # Signals
-    if report["signals"]:
-        lines.append("## Pipeline Signals")
-        for sig in report["signals"]:
-            weight_bar = "█" * int(sig["weight"] * 10) + "░" * (10 - int(sig["weight"] * 10))
-            lines.append(f"- [{weight_bar}] **{sig['source']}/{sig['signal_type']}** — {sig['detail']}")
-        lines.append("")
-
-    # Summary
-    s = report["summary"]
-    lines.append("## Summary")
-    lines.append(f"- Suggested upgrades: **{s['suggested_upgrades']}**")
-    lines.append(f"- Suggested downgrades: **{s['suggested_downgrades']}**")
-    lines.append(f"- New priority assignments: **{s['suggested_new_priorities']}**")
-    lines.append(f"- Unchanged: **{s['unchanged']}**")
-    lines.append("")
-
-    # Top 10
-    lines.append("## Top 10 by Score")
-    for i, item in enumerate(report["top_priority"][:10], 1):
-        cur = item["current_priority"] or "none"
-        sug = item["suggested_priority"] or "none"
-        arrow = "↑" if PRIORITY_LEVELS.index(sug) < PRIORITY_LEVELS.index(cur) else "↓" if PRIORITY_LEVELS.index(sug) > PRIORITY_LEVELS.index(cur) else "→"
-        lines.append(f"{i}. **[{item['repo']}#{item['issue_id']}]** {item['title']}")
-        lines.append(f"   Score: {item['score']} | Current: {cur} {arrow} Suggested: {sug}")
-        lines.append(f"   Reasons: {'; '.join(item['reasons'][:3])}")
-        lines.append("")
-
-    # Upgrades
-    if report["upgrades"]:
-        lines.append("## Suggested Upgrades")
-        for item in report["upgrades"]:
-            lines.append(f"- **[{item['repo']}#{item['issue_id']}]** {item['title']}")
-            lines.append(f"  {item['current_priority']} → {item['suggested_priority']} (score: {item['score']})")
-            lines.append(f"  {'; '.join(item['reasons'][:2])}")
-        lines.append("")
-
-    # Downgrades
-    if report["downgrades"]:
-        lines.append("## Suggested Downgrades")
-        for item in report["downgrades"]:
-            lines.append(f"- **[{item['repo']}#{item['issue_id']}]** {item['title']}")
-            lines.append(f"  {item['current_priority']} → {item['suggested_priority']} (score: {item['score']})")
-            lines.append(f"  {'; '.join(item['reasons'][:2])}")
-        lines.append("")
-
-    # New assignments
-    if report["new_assignments"]:
-        lines.append("## New Priority Suggestions (currently unlabelled)")
-        for item in report["new_assignments"][:20]:
-            lines.append(f"- **[{item['repo']}#{item['issue_id']}]** {item['title']}")
-            lines.append(f"  Suggested: {item['suggested_priority']} (score: {item['score']})")
-            lines.append(f"  {'; '.join(item['reasons'][:2])}")
-        lines.append("")
-
-    return "\n".join(lines)
-
-
-# ============================================================
-# Main
-# ============================================================
-
-def main():
-    parser = argparse.ArgumentParser(description="Priority Rebalancer — re-score issues based on pipeline data")
-    parser.add_argument("--org", default="Timmy_Foundation", help="Gitea org name")
-    parser.add_argument("--repo", help="Single repo to analyze (default: all)")
-    parser.add_argument("--base-url", default="https://forge.alexanderwhitestone.com", help="Gitea base URL")
-    parser.add_argument("--knowledge-dir", default=None, help="Path to knowledge directory")
-    parser.add_argument("--metrics-dir", default=None, help="Path to metrics directory")
-    parser.add_argument("--scripts-dir", default=None, help="Path to scripts directory")
-    parser.add_argument("--output-dir", default=None, help="Path to output directory")
-    parser.add_argument("--dry-run", action="store_true", help="Show what would change without applying")
-    parser.add_argument("--apply", action="store_true", help="Apply priority changes via API")
-    parser.add_argument("--json", action="store_true", help="Output JSON instead of markdown")
-
-    args = parser.parse_args()
-
-    # Resolve paths relative to script location
-    script_dir = Path(__file__).parent
-    repo_root = script_dir.parent
-
-    knowledge_dir = args.knowledge_dir or str(repo_root / "knowledge")
-    metrics_dir = args.metrics_dir or str(repo_root / "metrics")
-    scripts_dir = args.scripts_dir or str(repo_root / "scripts")
-    output_dir = args.output_dir or str(repo_root / "metrics")
-
-    # Get token
-    token = os.environ.get("GITEA_TOKEN")
-    if not token:
-        token_path = os.path.expanduser("~/.config/gitea/token")
-        if os.path.exists(token_path):
-            with open(token_path) as f:
-                token = f.read().strip()
-
-    if not token:
-        print("Error: No Gitea token found. Set GITEA_TOKEN or create ~/.config/gitea/token", file=sys.stderr)
-        sys.exit(1)
-
-    client = GiteaClient(args.base_url, token)
-    now = datetime.utcnow()
-
-    # Collect pipeline signals
-    print("Collecting pipeline signals...", file=sys.stderr)
-    signals = []
-    signals.extend(collect_knowledge_signals(knowledge_dir))
-    signals.extend(collect_staleness_signals(scripts_dir, knowledge_dir))
-    signals.extend(collect_metrics_signals(metrics_dir))
-    print(f"  Found {len(signals)} signals", file=sys.stderr)
-
-    # Get repos
-    if args.repo:
-        repos = [{"name": args.repo}]
-    else:
-        repos = client.get_org_repos(args.org)
-
-    repo_names = [r["name"] for r in repos]
-    print(f"Scanning {len(repo_names)} repos: {', '.join(repo_names[:5])}{'...' if len(repo_names) > 5 else ''}", file=sys.stderr)
-
-    # Score all issues
-    all_scores = []
-    for repo in repos:
-        repo_name = repo["name"]
-        issues = client.get_issues(args.org, repo_name)
-        print(f"  {repo_name}: {len(issues)} open issues", file=sys.stderr)
-
-        for issue in issues:
-            if issue.get("pull_request"):
-                continue
-            score = compute_issue_score(issue, repo_name, signals, now)
-            all_scores.append(score)
-
-    # Generate report
-    report = generate_report(all_scores, signals, args.org, repo_names)
-
-    # Output
-    os.makedirs(output_dir, exist_ok=True)
-
-    if args.json:
-        print(json.dumps(report, indent=2))
-    else:
-        md = generate_markdown_report(report)
-        print(md)
-
-    # Write files
-    report_path = os.path.join(output_dir, "priority_report.json")
-    with open(report_path, "w") as f:
-        json.dump(report, f, indent=2)
-    print(f"\nFull report: {report_path}", file=sys.stderr)
-
-    md_path = os.path.join(output_dir, "priority_suggestions.md")
-    with open(md_path, "w") as f:
-        f.write(generate_markdown_report(report))
-    print(f"Suggestions: {md_path}", file=sys.stderr)
-
-    # Apply changes if requested
-    if args.apply:
-        print("\nApplying priority changes...", file=sys.stderr)
-        applied = 0
-
-        # Get label IDs for priority labels
-        priority_label_map = {}
-        for repo_name in repo_names:
-            labels = client.get_repo_labels(args.org, repo_name)
-            for label in labels:
-                name = label.get("name", "").lower()
-                if name in ("p0", "p1", "p2", "p3"):
-                    priority_label_map[(repo_name, name)] = label["id"]
-
-        for score in all_scores:
-            if score.suggested_priority and score.suggested_priority != score.current_priority:
-                sug_lower = score.suggested_priority.lower()
-                label_id = priority_label_map.get((score.repo, sug_lower))
-                if label_id:
-                    ok = client.add_label_to_issue(args.org, score.repo, score.issue_id, [label_id])
-                    if ok:
-                        applied += 1
-                        print(f"  Applied: [{score.repo}#{score.issue_id}] → {score.suggested_priority}", file=sys.stderr)
-
-                    # Add comment explaining the change
-                    comment = f"**Priority Rebalancer** suggested: **{score.suggested_priority}** (was: {score.current_priority or 'none'})\n\n"
-                    comment += f"Score: {score.score}\n"
-                    comment += f"Reasons:\n"
-                    for r in score.reasons[:5]:
-                        comment += f"- {r}\n"
-                    client.add_comment(args.org, score.repo, score.issue_id, comment)
-
-        print(f"Applied {applied} priority changes", file=sys.stderr)
-
-    elif args.dry_run:
-        print(f"\nDry run — {report['summary']['suggested_upgrades'] + report['summary']['suggested_downgrades'] + report['summary']['suggested_new_priorities']} changes would be applied", file=sys.stderr)
-
-
-if __name__ == "__main__":
-    main()

scripts/test_gitea_issue_parser.py

@@ -0,0 +1,111 @@
+#!/usr/bin/env python3
+"""Tests for gitea_issue_parser."""
+
+import json
+import sys
+import os
+
+sys.path.insert(0, os.path.dirname(__file__))
+from gitea_issue_parser import parse_issue_body
+
+
+def test_basic_structure():
+    body = """## Context
+This is the background.
+
+## Acceptance Criteria
+- [ ] First criterion
+- [x] Second criterion (already done)
+- [ ] Third criterion
+
+## Labels
+`pipeline`, `extraction`
+"""
+    result = parse_issue_body(body, "Test Issue", ["pipeline", "extraction"])
+    assert result["title"] == "Test Issue"
+    assert "background" in result["context"].lower()
+    assert len(result["criteria"]) == 3
+    assert "First criterion" in result["criteria"]
+    assert result["labels"] == ["pipeline", "extraction"]
+    print("PASS: test_basic_structure")
+
+
+def test_epic_ref():
+    body = "Closes #645\n\nSome description."
+    result = parse_issue_body(body, "feat: thing (#688)")
+    assert result["epic_ref"] == "#645"
+    print("PASS: test_epic_ref")
+
+
+def test_epic_ref_from_title():
+    body = "Some description without close ref."
+    result = parse_issue_body(body, "feat: scene descriptions (#645)")
+    assert result["epic_ref"] == "#645"
+    print("PASS: test_epic_ref_from_title")
+
+
+def test_no_checkboxes():
+    body = """## Requirements
+1. First thing
+2. Second thing
+3. Third thing
+"""
+    result = parse_issue_body(body)
+    assert len(result["criteria"]) == 3
+    print("PASS: test_no_checkboxes")
+
+
+def test_empty_body():
+    result = parse_issue_body("", "Empty Issue")
+    assert result["title"] == "Empty Issue"
+    assert result["criteria"] == []
+    assert result["context"] == ""
+    print("PASS: test_empty_body")
+
+
+def test_real_issue_format():
+    body = """Closes #681
+
+## Changes
+
+Add `#!/usr/bin/env python3` shebang to 6 Python scripts.
+
+## Verification
+
+All 6 files confirmed missing shebangs before fix.
+
+## Impact
+
+Scripts can now be executed directly.
+"""
+    result = parse_issue_body(body, "fix: add python3 shebangs (#685)")
+    assert result["epic_ref"] == "#681"
+    assert "shebang" in result["context"].lower()
+    print("PASS: test_real_issue_format")
+
+
+def test_all_sections_captured():
+    body = """## Context
+Background info.
+
+## Acceptance Criteria
+- [ ] Do thing
+
+## Labels
+`test`
+"""
+    result = parse_issue_body(body)
+    assert "context" in result["sections"]
+    assert "acceptance criteria" in result["sections"]
+    print("PASS: test_all_sections_captured")
+
+
+if __name__ == "__main__":
+    test_basic_structure()
+    test_epic_ref()
+    test_epic_ref_from_title()
+    test_no_checkboxes()
+    test_empty_body()
+    test_real_issue_format()
+    test_all_sections_captured()
+    print("\nAll tests passed.")

scripts/test_knowledge_staleness.py

@@ -1,129 +0,0 @@
-#!/usr/bin/env python3
-"""Tests for scripts/knowledge_staleness_check.py — 8 tests."""
-
-import json
-import os
-import sys
-import tempfile
-
-sys.path.insert(0, os.path.dirname(__file__) or ".")
-import importlib.util
-spec = importlib.util.spec_from_file_location("ks", os.path.join(os.path.dirname(__file__) or ".", "knowledge_staleness_check.py"))
-mod = importlib.util.module_from_spec(spec)
-spec.loader.exec_module(mod)
-check_staleness = mod.check_staleness
-fix_hashes = mod.fix_hashes
-compute_file_hash = mod.compute_file_hash
-
-
-def test_fresh_entry():
-    with tempfile.TemporaryDirectory() as tmpdir:
-        src = os.path.join(tmpdir, "source.py")
-        with open(src, "w") as f:
-            f.write("print('hello')")
-        h = compute_file_hash(src)
-        idx = os.path.join(tmpdir, "index.json")
-        with open(idx, "w") as f:
-            json.dump({"facts": [{"fact": "hello", "source_file": "source.py", "source_hash": h}]}, f)
-        results = check_staleness(idx, tmpdir)
-        assert results[0]["status"] == "fresh"
-        print("PASS: test_fresh_entry")
-
-
-def test_stale_entry():
-    with tempfile.TemporaryDirectory() as tmpdir:
-        src = os.path.join(tmpdir, "source.py")
-        with open(src, "w") as f:
-            f.write("original content")
-        idx = os.path.join(tmpdir, "index.json")
-        with open(idx, "w") as f:
-            json.dump({"facts": [{"fact": "old", "source_file": "source.py", "source_hash": "sha256:wrong"}]}, f)
-        # Now change the source
-        with open(src, "w") as f:
-            f.write("modified content")
-        results = check_staleness(idx, tmpdir)
-        assert results[0]["status"] == "stale"
-        print("PASS: test_stale_entry")
-
-
-def test_missing_source():
-    with tempfile.TemporaryDirectory() as tmpdir:
-        idx = os.path.join(tmpdir, "index.json")
-        with open(idx, "w") as f:
-            json.dump({"facts": [{"fact": "gone", "source_file": "nonexistent.py", "source_hash": "sha256:abc"}]}, f)
-        results = check_staleness(idx, tmpdir)
-        assert results[0]["status"] == "missing_source"
-        print("PASS: test_missing_source")
-
-
-def test_no_hash():
-    with tempfile.TemporaryDirectory() as tmpdir:
-        src = os.path.join(tmpdir, "source.py")
-        with open(src, "w") as f:
-            f.write("content")
-        idx = os.path.join(tmpdir, "index.json")
-        with open(idx, "w") as f:
-            json.dump({"facts": [{"fact": "no hash", "source_file": "source.py"}]}, f)
-        results = check_staleness(idx, tmpdir)
-        assert results[0]["status"] == "no_hash"
-        assert results[0]["current_hash"].startswith("sha256:")
-        print("PASS: test_no_hash")
-
-
-def test_no_source_field():
-    with tempfile.TemporaryDirectory() as tmpdir:
-        idx = os.path.join(tmpdir, "index.json")
-        with open(idx, "w") as f:
-            json.dump({"facts": [{"fact": "orphan"}]}, f)
-        results = check_staleness(idx, tmpdir)
-        assert results[0]["status"] == "no_source"
-        print("PASS: test_no_source_field")
-
-
-def test_fix_hashes():
-    with tempfile.TemporaryDirectory() as tmpdir:
-        src = os.path.join(tmpdir, "source.py")
-        with open(src, "w") as f:
-            f.write("content for hashing")
-        idx = os.path.join(tmpdir, "index.json")
-        with open(idx, "w") as f:
-            json.dump({"facts": [{"fact": "needs hash", "source_file": "source.py"}]}, f)
-        fixed = fix_hashes(idx, tmpdir)
-        assert fixed == 1
-        # Verify hash was added
-        with open(idx) as f:
-            data = json.load(f)
-        assert data["facts"][0]["source_hash"].startswith("sha256:")
-        print("PASS: test_fix_hashes")
-
-
-def test_empty_index():
-    with tempfile.TemporaryDirectory() as tmpdir:
-        idx = os.path.join(tmpdir, "index.json")
-        with open(idx, "w") as f:
-            json.dump({"facts": []}, f)
-        results = check_staleness(idx, tmpdir)
-        assert results == []
-        print("PASS: test_empty_index")
-
-
-def test_compute_hash_nonexistent():
-    h = compute_file_hash("/nonexistent/path/file.py")
-    assert h is None
-    print("PASS: test_compute_hash_nonexistent")
-
-
-def run_all():
-    test_fresh_entry()
-    test_stale_entry()
-    test_missing_source()
-    test_no_hash()
-    test_no_source_field()
-    test_fix_hashes()
-    test_empty_index()
-    test_compute_hash_nonexistent()
-    print("\nAll 8 tests passed!")
-
-
-if __name__ == "__main__":
-    run_all()

scripts/test_priority_rebalancer.py

@@ -1,305 +0,0 @@
-#!/usr/bin/env python3
-"""
-Tests for Priority Rebalancer
-"""
-
-import json
-import os
-import sys
-import tempfile
-from datetime import datetime, timedelta
-from pathlib import Path
-
-# Add script dir to path
-sys.path.insert(0, str(Path(__file__).parent))
-
-from priority_rebalancer import (
-    GiteaClient,
-    IssueScore,
-    PipelineSignal,
-    compute_issue_score,
-    collect_knowledge_signals,
-    collect_metrics_signals,
-    extract_priority,
-    generate_report,
-    generate_markdown_report,
-    PRIORITY_LEVELS,
-)
-
-# ============================================================
-# Test Helpers
-# ============================================================
-
-PASS = 0
-FAIL = 0
-
-def test(name):
-    def decorator(fn):
-        global PASS, FAIL
-        try:
-            fn()
-            PASS += 1
-            print(f"  [PASS] {name}")
-        except Exception as e:
-            FAIL += 1
-            print(f"  [FAIL] {name}: {e}")
-    return decorator
-
-def assert_eq(a, b, msg=""):
-    if a != b:
-        raise AssertionError(f"{msg} expected {b!r}, got {a!r}")
-
-def assert_true(v, msg=""):
-    if not v:
-        raise AssertionError(msg or "Expected True")
-
-def assert_false(v, msg=""):
-    if v:
-        raise AssertionError(msg or "Expected False")
-
-
-# ============================================================
-# Priority Extraction Tests
-# ============================================================
-
-print("=== Priority Rebalancer Tests ===\n")
-
-print("-- Priority Extraction --")
-
-@test("extract P0 from label")
-def _():
-    assert_eq(extract_priority(["P0", "bug"]), "P0")
-
-@test("extract P1 from priority:high")
-def _():
-    assert_eq(extract_priority(["priority:high"]), "P1")
-
-@test("extract P2 from priority:medium")
-def _():
-    assert_eq(extract_priority(["priority:medium"]), "P2")
-
-@test("extract P3 from priority:low")
-def _():
-    assert_eq(extract_priority(["priority:low"]), "P3")
-
-@test("returns None for no priority")
-def _():
-    assert_eq(extract_priority(["bug", "enhancement"]), None)
-
-@test("case insensitive")
-def _():
-    assert_eq(extract_priority(["p1"]), "P1")
-    assert_eq(extract_priority(["PRIORITY:CRITICAL"]), "P0")
-
-
-# ============================================================
-# Issue Scoring Tests
-# ============================================================
-
-print("\n-- Issue Scoring --")
-
-def make_issue(**kwargs):
-    defaults = {
-        "number": 1,
-        "title": "Test issue",
-        "labels": [],
-        "created_at": (datetime.utcnow() - timedelta(days=5)).isoformat() + "Z",
-        "comments": 0,
-        "assignees": None,
-    }
-    defaults.update(kwargs)
-    return defaults
-
-@test("bug gets score boost")
-def _():
-    issue = make_issue(title="Incorrect output format", labels=["bug"])
-    score = compute_issue_score(issue, "test-repo", [], datetime.utcnow())
-    assert_true(score.score > 0, f"Bug should boost score, got {score.score}")
-    # Bug label alone should be P2 or P3 (not P0)
-    assert_true(score.suggested_priority in ("P2", "P3"),
-                f"Bug label alone should be P2/P3, got {score.suggested_priority}")
-
-@test("security gets high score")
-def _():
-    issue = make_issue(title="Security: auth bypass", labels=["bug"])
-    score = compute_issue_score(issue, "test-repo", [], datetime.utcnow())
-    assert_true(score.score >= 25, f"Security should score high, got {score.score}")
-
-@test("old dormant issue gets penalized")
-def _():
-    issue = make_issue(
-        title="Some old feature",
-        created_at=(datetime.utcnow() - timedelta(days=120)).isoformat() + "Z",
-        comments=0
-    )
-    score = compute_issue_score(issue, "test-repo", [], datetime.utcnow())
-    assert_true(score.score < 0, f"Old dormant should be negative, got {score.score}")
-    assert_true(any("Dormant" in r for r in score.reasons), "Should mention dormancy")
-
-@test("active discussion boosts score")
-def _():
-    issue = make_issue(title="Important fix", comments=8)
-    score = compute_issue_score(issue, "test-repo", [], datetime.utcnow())
-    assert_true(score.score > 5, f"Active discussion should boost, got {score.score}")
-    assert_true(any("Active" in r for r in score.reasons))
-
-@test("unassigned gets slight boost")
-def _():
-    issue = make_issue(title="Fix bug", assignees=None)
-    score = compute_issue_score(issue, "test-repo", [], datetime.utcnow())
-    assert_true(any("Unassigned" in r for r in score.reasons))
-
-@test("assigned issue notes assignee")
-def _():
-    issue = make_issue(title="Fix bug", assignees=[{"login": "alice"}])
-    score = compute_issue_score(issue, "test-repo", [], datetime.utcnow())
-    assert_eq(score.assignee, "alice")
-
-@test("nice-to-have gets penalized")
-def _():
-    issue = make_issue(title="Nice to have: fancy animation")
-    score = compute_issue_score(issue, "test-repo", [], datetime.utcnow())
-    assert_true(score.score < 0, f"Nice-to-have should be negative, got {score.score}")
-
-
-# ============================================================
-# Pipeline Signal Tests
-# ============================================================
-
-print("\n-- Pipeline Signals --")
-
-@test("signal alignment boosts matching issues")
-def _():
-    signals = [PipelineSignal(
-        source="knowledge",
-        signal_type="stale_knowledge",
-        weight=0.8,
-        detail="20 stale facts"
-    )]
-    issue = make_issue(title="Fix stale knowledge entries")
-    score = compute_issue_score(issue, "test-repo", signals, datetime.utcnow())
-    assert_true(any("Matches signal" in r for r in score.reasons))
-
-@test("empty knowledge boosts harvester issues")
-def _():
-    signals = [PipelineSignal(
-        source="knowledge",
-        signal_type="empty_knowledge",
-        weight=0.7,
-        detail="0 facts"
-    )]
-    issue = make_issue(title="Implement harvester pipeline")
-    score = compute_issue_score(issue, "test-repo", signals, datetime.utcnow())
-    assert_true(any("Critical gap" in r for r in score.reasons))
-
-
-# ============================================================
-# Knowledge Signal Collection Tests
-# ============================================================
-
-print("\n-- Knowledge Signal Collection --")
-
-@test("missing index generates signal")
-def _():
-    with tempfile.TemporaryDirectory() as tmpdir:
-        signals = collect_knowledge_signals(tmpdir)
-        assert_true(len(signals) > 0)
-        assert_eq(signals[0].signal_type, "missing_index")
-
-@test("empty knowledge generates signal")
-def _():
-    with tempfile.TemporaryDirectory() as tmpdir:
-        idx = os.path.join(tmpdir, "index.json")
-        with open(idx, "w") as f:
-            json.dump({"facts": []}, f)
-        signals = collect_knowledge_signals(tmpdir)
-        assert_true(any(s.signal_type == "empty_knowledge" for s in signals))
-
-@test("corrupt index generates signal")
-def _():
-    with tempfile.TemporaryDirectory() as tmpdir:
-        idx = os.path.join(tmpdir, "index.json")
-        with open(idx, "w") as f:
-            f.write("not json {{{")
-        signals = collect_knowledge_signals(tmpdir)
-        assert_true(any(s.signal_type == "corrupt_index" for s in signals))
-
-@test("knowledge with facts passes")
-def _():
-    with tempfile.TemporaryDirectory() as tmpdir:
-        idx = os.path.join(tmpdir, "index.json")
-        with open(idx, "w") as f:
-            json.dump({"facts": [
-                {"id": 1, "repo": "test", "status": "fresh"},
-                {"id": 2, "repo": "test", "status": "fresh"},
-            ]}, f)
-        signals = collect_knowledge_signals(tmpdir)
-        # Should not generate missing_index or empty_knowledge
-        assert_false(any(s.signal_type in ("missing_index", "empty_knowledge") for s in signals))
-
-
-# ============================================================
-# Metrics Signal Collection Tests
-# ============================================================
-
-print("\n-- Metrics Signal Collection --")
-
-@test("empty metrics dir generates signal")
-def _():
-    with tempfile.TemporaryDirectory() as tmpdir:
-        signals = collect_metrics_signals(tmpdir)
-        assert_true(any(s.signal_type == "no_metrics" for s in signals))
-
-@test("metrics with files passes")
-def _():
-    with tempfile.TemporaryDirectory() as tmpdir:
-        # Create files (simulating real metrics dir with .gitkeep + actual files)
-        with open(os.path.join(tmpdir, ".gitkeep"), "w") as f:
-            f.write("")
-        with open(os.path.join(tmpdir, "report.json"), "w") as f:
-            f.write("{}")
-        signals = collect_metrics_signals(tmpdir)
-        assert_false(any(s.signal_type == "no_metrics" for s in signals))
-
-
-# ============================================================
-# Report Generation Tests
-# ============================================================
-
-print("\n-- Report Generation --")
-
-@test("report has correct structure")
-def _():
-    scores = [
-        IssueScore(1, "repo1", "Bug fix", ["bug"], None, "P1", 30.0, ["test"], 5, 3, None),
-        IssueScore(2, "repo1", "Feature", ["enhancement"], "P3", None, -5.0, ["test"], 60, 0, "alice"),
-    ]
-    signals = [PipelineSignal("knowledge", "stale_knowledge", 0.5, "10 stale")]
-    report = generate_report(scores, signals, "test-org", ["repo1"])
-
-    assert_eq(report["org"], "test-org")
-    assert_eq(report["total_issues"], 2)
-    assert_true("generated_at" in report)
-    assert_true("summary" in report)
-    assert_true("top_priority" in report)
-    assert_eq(report["summary"]["suggested_new_priorities"], 1)
-
-@test("markdown report is non-empty")
-def _():
-    scores = [IssueScore(1, "repo1", "Test", ["bug"], None, "P2", 15.0, ["reason"], 5, 0, None)]
-    report = generate_report(scores, [], "test-org", ["repo1"])
-    md = generate_markdown_report(report)
-    assert_true(len(md) > 100)
-    assert_true("Priority Rebalancer Report" in md)
-    assert_true("Top 10" in md)
-
-
-# ============================================================
-# Summary
-# ============================================================
-
-print(f"\n=== Summary ===")
-print(f"Total: {PASS + FAIL} | Passed: {PASS} | Failed: {FAIL}")
-
-if FAIL > 0:
-    sys.exit(1)