feat: add sampler.py — session value scorer (#17)

scripts/dependency_graph.py

@@ -1,249 +0,0 @@
-#!/usr/bin/env python3
-"""
-Cross-Repo Dependency Graph Builder
-
-Scans repos for import/require/reference patterns and builds a directed
-dependency graph. Detects circular dependencies. Outputs DOT and Mermaid.
-
-Usage:
-  python3 scripts/dependency_graph.py /path/to/repos/
-  python3 scripts/dependency_graph.py --repos repo1,repo2,repo3 --format mermaid
-  python3 scripts/dependency_graph.py --repos-dir /path/to/ --format dot --output deps.dot
-
-Patterns detected:
-  - Python: import X, from X import Y
-  - JavaScript: require("X"), import ... from "X"
-  - Go: import "X"
-  - Ansible: include_role, import_role
-  - Docker/Compose: image: X, depends_on
-  - Config references: repo-name in YAML/TOML/JSON
-"""
-
-import argparse
-import json
-import os
-import re
-import sys
-from collections import defaultdict
-from pathlib import Path
-
-
-# Known repo names for matching
-KNOWN_REPOS = [
-    "hermes-agent", "timmy-config", "timmy-home", "the-nexus", "the-door",
-    "the-beacon", "fleet-ops", "burn-fleet", "timmy-dispatch", "turboquant",
-    "compounding-intelligence", "the-playground", "second-son-of-timmy",
-    "ai-safety-review", "the-echo-pattern", "timmy-academy", "wolf",
-    "the-testament",
-]
-
-
-def normalize_repo_name(name: str) -> str:
-    """Normalize a repo name for comparison."""
-    return name.lower().replace("_", "-").replace(".git", "").strip()
-
-
-def scan_file_for_deps(filepath: str, content: str, own_repo: str) -> set:
-    """Scan a file's content for references to other repos."""
-    deps = set()
-    own_norm = normalize_repo_name(own_repo)
-
-    for repo in KNOWN_REPOS:
-        repo_norm = normalize_repo_name(repo)
-        if repo_norm == own_norm:
-            continue
-
-        # Direct name references
-        patterns = [
-            repo,  # exact name
-            repo.replace("-", "_"),  # underscore variant
-            repo.replace("-", ""),  # no separator
-            f"/{repo}/",  # path reference
-            f'"{repo}"',  # quoted
-            f"'{repo}'",  # single quoted
-            f"Timmy_Foundation/{repo}",  # full Gitea path
-            f"Timmy_Foundation.{repo}",  # Python module path
-        ]
-
-        for pattern in patterns:
-            if pattern in content:
-                deps.add(repo)
-                break
-
-    return deps
-
-
-def scan_repo(repo_path: str, repo_name: str = None) -> dict:
-    """Scan a repo directory for dependencies."""
-    path = Path(repo_path)
-    if not path.is_dir():
-        return {"error": f"Not a directory: {repo_path}"}
-
-    if not repo_name:
-        repo_name = path.name
-
-    deps = set()
-    files_scanned = 0
-    exts = {".py", ".js", ".ts", ".go", ".yaml", ".yml", ".toml", ".json",
-            ".md", ".sh", ".bash", ".Dockerfile", ".tf", ".hcl"}
-
-    for fpath in path.rglob("*"):
-        if not fpath.is_file():
-            continue
-        if fpath.suffix not in exts:
-            continue
-        # Skip common non-source dirs
-        parts = fpath.parts
-        if any(p in (".git", "node_modules", "__pycache__", ".venv", "venv",
-                      "vendor", "dist", "build", ".tox") for p in parts):
-            continue
-
-        try:
-            content = fpath.read_text(errors="ignore")
-        except:
-            continue
-
-        file_deps = scan_file_for_deps(str(fpath), content, repo_name)
-        deps.update(file_deps)
-        files_scanned += 1
-
-    return {
-        "repo": repo_name,
-        "dependencies": sorted(deps),
-        "files_scanned": files_scanned,
-    }
-
-
-def detect_cycles(graph: dict) -> list:
-    """Detect circular dependencies using DFS."""
-    cycles = []
-    visited = set()
-    rec_stack = set()
-
-    def dfs(node, path):
-        visited.add(node)
-        rec_stack.add(node)
-
-        for neighbor in graph.get(node, {}).get("dependencies", []):
-            if neighbor not in visited:
-                result = dfs(neighbor, path + [neighbor])
-                if result:
-                    return result
-            elif neighbor in rec_stack:
-                cycle_start = path.index(neighbor)
-                return path[cycle_start:] + [neighbor]
-
-        rec_stack.remove(node)
-        return None
-
-    for node in graph:
-        if node not in visited:
-            cycle = dfs(node, [node])
-            if cycle:
-                cycles.append(cycle)
-
-    return cycles
-
-
-def to_dot(graph: dict) -> str:
-    """Generate DOT format output."""
-    lines = ["digraph dependencies {"]
-    lines.append("  rankdir=LR;")
-    lines.append("  node [shape=box, style=filled, fillcolor="#1a1a2e", fontcolor="#e6edf3"];")
-    lines.append("  edge [color="#4a4a6a"];")
-    lines.append("")
-
-    for repo, data in sorted(graph.items()):
-        dep_count = len(data.get("dependencies", []))
-        fill = "#2d1b69" if dep_count > 2 else "#16213e"
-        lines.append(f'  "{repo}" [fillcolor="{fill}"];')
-        for dep in data.get("dependencies", []):
-            lines.append(f'  "{repo}" -> "{dep}";')
-
-    lines.append("}")
-    return "\n".join(lines)
-
-
-def to_mermaid(graph: dict) -> str:
-    """Generate Mermaid format output."""
-    lines = ["graph LR"]
-
-    for repo, data in sorted(graph.items()):
-        for dep in data.get("dependencies", []):
-            lines.append(f"    {repo.replace('-','_')} --> {dep.replace('-','_')}")
-
-    # Add node labels
-    lines.append("")
-    for repo in sorted(graph.keys()):
-        lines.append(f"    {repo.replace('-','_')}[{repo}]")
-
-    return "\n".join(lines)
-
-
-def main():
-    parser = argparse.ArgumentParser(description="Build cross-repo dependency graph")
-    parser.add_argument("repos_dir", nargs="?", help="Directory containing repos")
-    parser.add_argument("--repos", help="Comma-separated list of repo paths")
-    parser.add_argument("--format", choices=["dot", "mermaid", "json"], default="json")
-    parser.add_argument("--output", "-o", help="Output file (default: stdout)")
-    parser.add_argument("--cycles-only", action="store_true", help="Only report cycles")
-    args = parser.parse_args()
-
-    results = {}
-    repo_paths = []
-
-    if args.repos:
-        repo_paths = [p.strip() for p in args.repos.split(",")]
-    elif args.repos_dir:
-        base = Path(args.repos_dir)
-        repo_paths = [str(p) for p in base.iterdir() if p.is_dir() and not p.name.startswith(".")]
-    else:
-        parser.print_help()
-        sys.exit(1)
-
-    for rpath in repo_paths:
-        name = Path(rpath).name
-        print(f"Scanning {name}...", file=sys.stderr)
-        result = scan_repo(rpath, name)
-        if "error" not in result:
-            results[name] = result
-
-    # Detect cycles
-    cycles = detect_cycles(results)
-
-    if args.cycles_only:
-        if cycles:
-            print("CIRCULAR DEPENDENCIES DETECTED:")
-            for cycle in cycles:
-                print(f"  {' -> '.join(cycle)}")
-            sys.exit(1)
-        else:
-            print("No circular dependencies found.")
-            sys.exit(0)
-
-    # Output
-    output = {}
-    if args.format == "dot":
-        output = to_dot(results)
-    elif args.format == "mermaid":
-        output = to_mermaid(results)
-    else:
-        output = json.dumps({
-            "repos": results,
-            "cycles": cycles,
-            "summary": {
-                "total_repos": len(results),
-                "total_deps": sum(len(r["dependencies"]) for r in results.values()),
-                "cycles_found": len(cycles),
-            }
-        }, indent=2)
-
-    if args.output:
-        Path(args.output).write_text(output)
-        print(f"Written to {args.output}", file=sys.stderr)
-    else:
-        print(output)
-
-
-if __name__ == "__main__":
-    main()

scripts/sampler.py

@@ -0,0 +1,353 @@
+#!/usr/bin/env python3
+"""
+sampler.py — Score and rank sessions by harvest value.
+
+With 20k+ sessions on disk, we can't harvest all at once. This script
+scores each session by how likely it is to contain valuable knowledge,
+so the harvester processes the best ones first.
+
+Scoring strategy:
+  - Recency: last 7d=3pts, last 30d=2pts, older=1pt
+  - Length: >50 messages=3pts, >20=2pts, <20=1pt
+  - Repo uniqueness: first session for a repo=5pts, otherwise=1pt
+  - Outcome: failure=3pts (most to learn), success=2pts, unknown=1pt
+  - Tool calls: >10 tool invocations=2pts (complex sessions)
+
+Usage:
+    python3 sampler.py --count 100                          # Top 100 sessions
+    python3 sampler.py --repo the-nexus --count 20          # Top 20 for a repo
+    python3 sampler.py --since 2026-04-01                   # All sessions since date
+    python3 sampler.py --count 50 --min-score 8             # Only high-value sessions
+    python3 sampler.py --count 100 --output sample.json     # Save to file
+"""
+
+import argparse
+import json
+import os
+import sys
+import time
+from datetime import datetime, timedelta, timezone
+from pathlib import Path
+from typing import Optional
+
+
+# --- Fast session scanning (no full parse) ---
+
+def scan_session_fast(path: str) -> dict:
+    """Extract scoring metadata from a session without parsing the full JSONL.
+    
+    Reads only: first line, last ~20 lines, and line count. This processes
+    20k sessions in seconds instead of minutes.
+    """
+    meta = {
+        'path': path,
+        'message_count': 0,
+        'has_tool_calls': False,
+        'tool_call_count': 0,
+        'first_timestamp': '',
+        'last_timestamp': '',
+        'is_failure': False,
+        'repos_mentioned': set(),
+        'first_role': '',
+        'last_content_preview': '',
+    }
+    
+    try:
+        file_size = os.path.getsize(path)
+        if file_size == 0:
+            return meta
+        
+        with open(path, 'r', encoding='utf-8', errors='replace') as f:
+            # Read first line for timestamp + role
+            first_line = f.readline().strip()
+            if first_line:
+                try:
+                    first_msg = json.loads(first_line)
+                    meta['first_timestamp'] = first_msg.get('timestamp', '')
+                    meta['first_role'] = first_msg.get('role', '')
+                except json.JSONDecodeError:
+                    pass
+            
+            # Fast line count + collect tail lines
+            # For the tail, seek to near end of file
+            tail_lines = []
+            line_count = 1  # already read first
+            
+            if file_size > 8192:
+                # Seek to last 8KB for tail sampling
+                f.seek(max(0, file_size - 8192))
+                f.readline()  # skip partial line
+                for line in f:
+                    line = line.strip()
+                    if line:
+                        tail_lines.append(line)
+                    line_count += 1
+                # We lost the exact count for big files — estimate from file size
+                # Average JSONL line is ~500 bytes
+                if line_count < 100:
+                    line_count = max(line_count, file_size // 500)
+            else:
+                # Small file — read all
+                for line in f:
+                    line = line.strip()
+                    if line:
+                        tail_lines.append(line)
+                    line_count += 1
+            
+            meta['message_count'] = line_count
+            
+            # Parse tail lines for outcome, tool calls, repos
+            for line in tail_lines[-30:]:  # last 30 non-empty lines
+                try:
+                    msg = json.loads(line)
+                    
+                    # Track last timestamp
+                    ts = msg.get('timestamp', '')
+                    if ts:
+                        meta['last_timestamp'] = ts
+                    
+                    # Count tool calls
+                    if msg.get('tool_calls'):
+                        meta['has_tool_calls'] = True
+                        meta['tool_call_count'] += len(msg['tool_calls'])
+                    
+                    # Detect failure signals in content
+                    content = ''
+                    if isinstance(msg.get('content'), str):
+                        content = msg['content'].lower()
+                    elif isinstance(msg.get('content'), list):
+                        for part in msg['content']:
+                            if isinstance(part, dict) and part.get('type') == 'text':
+                                content += part.get('text', '').lower()
+                    
+                    if content:
+                        meta['last_content_preview'] = content[:200]
+                        failure_signals = ['error', 'failed', 'cannot', 'unable', 
+                                          'exception', 'traceback', 'rejected', 'denied']
+                        if any(sig in content for sig in failure_signals):
+                            meta['is_failure'] = True
+                    
+                    # Extract repo references from tool call arguments
+                    if msg.get('tool_calls'):
+                        for tc in msg['tool_calls']:
+                            args = tc.get('function', {}).get('arguments', '')
+                            if isinstance(args, str):
+                                # Look for repo patterns
+                                for pattern in ['Timmy_Foundation/', 'Rockachopa/', 'compounding-intelligence', 'the-nexus', 'timmy-home', 'hermes-agent', 'the-beacon', 'the-door']:
+                                    if pattern in args:
+                                        repo = pattern.rstrip('/')
+                                        meta['repos_mentioned'].add(repo)
+                
+                except json.JSONDecodeError:
+                    continue
+    
+    except (IOError, OSError):
+        pass
+    
+    meta['repos_mentioned'] = list(meta['repos_mentioned'])
+    return meta
+
+
+# --- Filename timestamp parsing ---
+
+def parse_session_timestamp(filename: str) -> Optional[datetime]:
+    """Parse timestamp from session filename.
+    
+    Common formats:
+      session_20260413_123456_hash.jsonl
+      20260413_123456_hash.jsonl
+    """
+    stem = Path(filename).stem
+    parts = stem.split('_')
+    
+    # Try session_YYYYMMDD_HHMMSS format
+    for i, part in enumerate(parts):
+        if len(part) == 8 and part.isdigit():
+            date_part = part
+            time_part = parts[i + 1] if i + 1 < len(parts) and len(parts[i + 1]) == 6 else '000000'
+            try:
+                return datetime.strptime(f"{date_part}_{time_part}", '%Y%m%d_%H%M%S').replace(tzinfo=timezone.utc)
+            except ValueError:
+                continue
+    
+    # Fallback: use file modification time
+    return None
+
+
+# --- Scoring ---
+
+def score_session(meta: dict, now: datetime, seen_repos: set) -> tuple[int, dict]:
+    """Score a session for harvest value. Returns (score, breakdown)."""
+    score = 0
+    breakdown = {}
+    
+    # 1. Recency
+    ts = parse_session_timestamp(os.path.basename(meta['path']))
+    if ts is None:
+        # Fallback to mtime
+        try:
+            ts = datetime.fromtimestamp(os.path.getmtime(meta['path']), tz=timezone.utc)
+        except OSError:
+            ts = now - timedelta(days=365)
+    
+    age_days = (now - ts).days
+    if age_days <= 7:
+        recency = 3
+    elif age_days <= 30:
+        recency = 2
+    else:
+        recency = 1
+    score += recency
+    breakdown['recency'] = recency
+    
+    # 2. Length
+    count = meta['message_count']
+    if count > 50:
+        length = 3
+    elif count > 20:
+        length = 2
+    else:
+        length = 1
+    score += length
+    breakdown['length'] = length
+    
+    # 3. Repo uniqueness (first session mentioning a repo gets bonus)
+    repo_score = 0
+    for repo in meta.get('repos_mentioned', []):
+        if repo not in seen_repos:
+            seen_repos.add(repo)
+            repo_score = max(repo_score, 5)
+        else:
+            repo_score = max(repo_score, 1)
+    score += repo_score
+    breakdown['repo_unique'] = repo_score
+    
+    # 4. Outcome
+    if meta.get('is_failure'):
+        outcome = 3
+    elif meta.get('last_content_preview', '').strip():
+        outcome = 2  # has some content = likely completed
+    else:
+        outcome = 1
+    score += outcome
+    breakdown['outcome'] = outcome
+    
+    # 5. Tool calls
+    if meta.get('tool_call_count', 0) > 10:
+        tool = 2
+    else:
+        tool = 0
+    score += tool
+    breakdown['tool_calls'] = tool
+    
+    return score, breakdown
+
+
+# --- Main ---
+
+def main():
+    parser = argparse.ArgumentParser(description="Score and rank sessions for harvesting")
+    parser.add_argument('--sessions-dir', default=os.path.expanduser('~/.hermes/sessions'),
+                        help='Directory containing session files')
+    parser.add_argument('--count', type=int, default=100, help='Number of top sessions to return')
+    parser.add_argument('--repo', default='', help='Filter to sessions mentioning this repo')
+    parser.add_argument('--since', default='', help='Only score sessions after this date (YYYY-MM-DD)')
+    parser.add_argument('--min-score', type=int, default=0, help='Minimum score threshold')
+    parser.add_argument('--output', default='', help='Output file (JSON). Default: stdout')
+    parser.add_argument('--format', choices=['json', 'paths', 'table'], default='table',
+                        help='Output format: json (full), paths (one per line), table (human)')
+    parser.add_argument('--top-percent', type=float, default=0, help='Return top N%% instead of --count')
+    
+    args = parser.parse_args()
+    
+    sessions_dir = Path(args.sessions_dir)
+    if not sessions_dir.is_dir():
+        print(f"ERROR: Sessions directory not found: {sessions_dir}", file=sys.stderr)
+        sys.exit(1)
+    
+    # Find all JSONL files
+    print(f"Scanning {sessions_dir}...", file=sys.stderr)
+    t0 = time.time()
+    
+    session_files = list(sessions_dir.glob('*.jsonl'))
+    total = len(session_files)
+    print(f"Found {total} session files", file=sys.stderr)
+    
+    # Parse since date
+    since_dt = None
+    if args.since:
+        since_dt = datetime.strptime(args.since, '%Y-%m-%d').replace(tzinfo=timezone.utc)
+    
+    # Score all sessions
+    now = datetime.now(timezone.utc)
+    seen_repos = set()  # Track repos for uniqueness scoring
+    scored = []
+    
+    for i, sf in enumerate(session_files):
+        # Date filter (fast path: check filename first)
+        if since_dt:
+            ts = parse_session_timestamp(sf.name)
+            if ts and ts < since_dt:
+                continue
+        
+        meta = scan_session_fast(str(sf))
+        
+        # Repo filter
+        if args.repo:
+            repos = meta.get('repos_mentioned', [])
+            if args.repo.lower() not in [r.lower() for r in repos]:
+                # Also check filename
+                if args.repo.lower() not in sf.name.lower():
+                    continue
+        
+        score, breakdown = score_session(meta, now, seen_repos)
+        
+        if score >= args.min_score:
+            scored.append({
+                'path': str(sf),
+                'filename': sf.name,
+                'score': score,
+                'breakdown': breakdown,
+                'message_count': meta['message_count'],
+                'repos': meta['repos_mentioned'],
+                'is_failure': meta['is_failure'],
+            })
+        
+        if (i + 1) % 5000 == 0:
+            elapsed = time.time() - t0
+            print(f"  Scanned {i + 1}/{total} ({elapsed:.1f}s)", file=sys.stderr)
+    
+    elapsed = time.time() - t0
+    print(f"Scored {len(scored)} sessions in {elapsed:.1f}s", file=sys.stderr)
+    
+    # Sort by score descending
+    scored.sort(key=lambda x: x['score'], reverse=True)
+    
+    # Apply count or percent
+    if args.top_percent > 0:
+        count = max(1, int(len(scored) * args.top_percent / 100))
+    else:
+        count = args.count
+    scored = scored[:count]
+    
+    # Output
+    if args.output:
+        with open(args.output, 'w', encoding='utf-8') as f:
+            json.dump(scored, f, indent=2)
+        print(f"Wrote {len(scored)} sessions to {args.output}", file=sys.stderr)
+    elif args.format == 'json':
+        json.dump(scored, sys.stdout, indent=2)
+    elif args.format == 'paths':
+        for s in scored:
+            print(s['path'])
+    else:  # table
+        print(f"{'SCORE':>5}  {'MSGS':>5}  {'REPOS':<25}  {'FILE'}")
+        print(f"{'-'*5}  {'-'*5}  {'-'*25}  {'-'*40}")
+        for s in scored:
+            repos = ', '.join(s['repos'][:2]) if s['repos'] else '-'
+            fail = ' FAIL' if s['is_failure'] else ''
+            print(f"{s['score']:>5}  {s['message_count']:>5}  {repos:<25}  {s['filename'][:40]}{fail}")
+
+
+if __name__ == '__main__':
+    main()