50 lines
17 KiB
JSON
50 lines
17 KiB
JSON
{
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"session_id": "20260415_103948_734d2b",
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"title": "[SYSTEM: You are running as a scheduled cron job. DELIVERY: Your",
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"workspace": "/Users/rose/.hermes",
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"model": "@lmstudio:qwen/qwen3.5-35b-a3b",
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"messages": [
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{
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"role": "user",
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"content": "[SYSTEM: You are running as a scheduled cron job. DELIVERY: Your final response will be automatically delivered to the user \u2014 do NOT use send_message or try to deliver the output yourself. Just produce your report/output as your final response and the system handles the rest. SILENT: If there is genuinely nothing new to report, respond with exactly \"[SILENT]\" (nothing else) to suppress delivery. Never combine [SILENT] with content \u2014 either report your findings normally, or say [SILENT] and nothing more.]\n\n## Script Output\nThe following data was collected by a pre-run script. Use it as context for your analysis.\n\n```\n\u2713 Connected to ChromaDB\n\u2713 Memory directory exists (8 .md files)\n\n============================================================\n\u2705 ALL SYSTEMS HEALTHY\n============================================================\n```\n\nLaufe_Memory_Health_Check",
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"timestamp": 1776242592.585679
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},
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{
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"role": "assistant",
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"content": "<think>The user wants me to run a memory health check, and I can see from the pre-run script that ChromaDB is connected and there are 8 .md files in the memory directory. I should load the relevant skill for this task and execute it.\n</think>\n\nI'll run the memory health check using the appropriate skill. Let me start by loading the relevant skill and then executing the diagnostic.\n\n",
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"timestamp": 1776242592.5938072
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},
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{
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"role": "tool",
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"content": "{\"success\": true, \"name\": \"memory-health-check\", \"description\": \"Systematic health check procedure for ChromaDB-based biomimetic memory systems \u2014 verifies connectivity, sync status, data integrity, and generates actionable recommendations.\", \"tags\": [\"hermes\", \"memory\", \"chromadb\", \"health-check\", \"diagnostics\"], \"related_skills\": [], \"content\": \"---\\nname: memory-health-check\\ndescription: Systematic health check procedure for ChromaDB-based biomimetic memory systems \u2014 verifies connectivity, sync status, data integrity, and generates actionable recommendations.\\nversion: 1.0.0\\nauthor: Ros\ud83c\udf39\\nlicense: MIT\\ntags: [hermes, memory, chromadb, health-check, diagnostics]\\n---\\n\\n# \ud83e\udde0 Memory Health Check Procedure\\n\\nSystematic diagnostic procedure for verifying ChromaDB-based biomimetic memory systems \u2014 identifies connectivity issues, sync discrepancies, stale locks, and data integrity problems.\\n\\n## When to Use This Skill\\n\\n- Scheduled maintenance checks (recommended: daily/weekly)\\n- Troubleshooting \\\"memory not working\\\" complaints\\n- After system restarts or updates\\n- Before declaring a project phase complete\\n- When users report search failures or sync issues\\n\\n## Critical Discovery Patterns\\n\\n### Pattern 1: Path Assumption Failures\\n**Common Pitfall:** Hardcoding Linux paths (`/home/nous`) when system uses macOS (`/Users/rose`).\\n\\n**Solution:** Use `os.path.expanduser(\\\"~\\\")` to discover actual home directory, then check `.hermes` subdirectory.\\n\\n```python\\nfrom pathlib import Path\\nimport os\\n\\n# Always use expanduser() instead of hardcoding paths\\nhome = Path(os.path.expanduser(\\\"~\\\")) # Returns /Users/rose on macOS\\nhermes_dir = home / \\\".hermes\\\"\\nchroma_path = hermes_dir / \\\"chroma_db\\\"\\n```\\n\\n### Pattern 2: ChromaDB Connection Verification\\n**Common Pitfall:** Assuming database exists without verifying connectivity.\\n\\n**Solution:** Use `chromadb.PersistentClient()` to test connection and retrieve collection statistics.\\n\\n```python\\nimport chromadb\\n\\ntry:\\n client = chromadb.PersistentClient(path=str(chroma_path))\\n collections = client.list_collections()\\n \\n for coll in collections:\\n count = coll.count()\\n print(f\\\"Collection {coll.name}: {count} documents\\\")\\n \\nexcept Exception as e:\\n print(f\\\"\u2717 ChromaDB connection FAILED: {e}\\\")\\n```\\n\\n### Pattern 3: Sync Status Cross-Reference\\n**Common Pitfall:** Not checking if vault files match indexed documents.\\n\\n**Solution:** Compare vault `.md` file count vs ChromaDB document count to detect sync issues.\\n\\n```python\\nvault_files = list(memory_vault.glob(\\\"*.md\\\"))\\ndb_docs = sum(coll.count() for coll in collections)\\n\\ndiff = db_docs - len(vault_files)\\nif abs(diff) > 2:\\n print(f\\\"\u26a0 Sync discrepancy: {diff:+d} documents\\\")\\n```\\n\\n### Pattern 4: Duplicate Document Detection (Enhanced)\\n**Common Pitfall:** Only checking document counts without analyzing metadata quality.\\n\\n**Solution:** Check for documents with missing or invalid metadata to detect duplicates:\\n\\n```python\\nhas_duplicates = False\\nfor coll in collections:\\n docs = coll.get(include=[\\\"metadatas\\\"])\\n # Look for documents without proper title or sync timestamp\\n bad_metadata = sum(1 for m in docs['metadatas'] \\n if not m.get('title') or not m.get('last_synced_at'))\\n if bad_metadata > 0:\\n print(f\\\"\u26a0 Found {bad_metadata} documents with missing metadata\\\")\\n has_duplicates = True\\n```\\n\\n**Why this matters:** A count mismatch can mean either chunking variance (normal) or duplicate indexing (bug). Documents without proper metadata indicate the sync script is creating redundant entries.\\n\\n### Pattern 5: Source File Grouping by Content Matching\\n**Common Pitfall:** When `source_file` metadata is unavailable, unable to trace documents back to source files.\\n\\n**Solution:** Use content preview analysis to group documents by likely source:\\n\\n```python\\nfile_patterns = {}\\nfor i, meta in enumerate(docs['metadatas']):\\n doc_preview = docs['documents'][i][:50] if docs['documents'][i] else \\\"\\\"\\n \\n # Identify source pattern from content keywords\\n if 'docker' in doc_preview.lower():\\n pattern = 'docker-server'\\n elif 'k41' in doc_preview.lower() and 'hostnames' in doc_preview.lower():\\n pattern = 'k41-server'\\n elif 'searxng' in doc_preview.lower():\\n pattern = 'searxng-installation'\\n else:\\n pattern = 'unknown'\\n \\n if pattern not in file_patterns:\\n file_patterns[pattern] = []\\n file_patterns[pattern].append({'index': i, 'title': meta.get('title', 'No title')})\\n\\nprint(f\\\"Documents grouped by source:\\\")\\nfor pattern, entries in file_patterns.items():\\n print(f\\\" \u2192 {pattern} ({len(entries)} document(s))\\\")\\n```\\n\\n**Use case:** When sync discrepancies appear, this helps identify if each source file is creating multiple documents (duplication bug) or if the variance is due to expected chunking.\\n\\n### Pattern 6: Lock File Verification (SAFE Removal)\\n**Common Pitfall:** Removing lock files without checking if process still holds them.\\n\\n**Solution:** Always verify no active process uses the lock before removal:\\n\\n```bash\\n# Check who holds the lock\\nlsof ~/.hermes/auth.lock 2>/dev/null | head -5 || echo \\\"No process holding lock\\\"\\n\\n# Interpretation:\\n# - Output with PID \u2192 Process still running, DO NOT remove\\n# - Empty output (or just blank line) \u2192 Safe to remove\\n```\\n\\n**Why this matters:** Some locks are intentional (e.g., auth.lock used by profile isolation). Blindly removing all `.lock` files can break concurrent access controls for multi-profile setups.\\n\\n### Pattern 4: Stale Lock File Detection\\n**Common Pitfall:** Overlooking lock files that may indicate stuck processes.\\n\\n**Solution:** Check for `.lock` files and calculate their age in hours.\\n\\n```python\\nfrom datetime import datetime\\n\\nnow = datetime.now()\\nfor lf in hermes_dir.glob(\\\"*.lock\\\"):\\n age_hours = (now - datetime.fromtimestamp(lf.stat().st_mtime)).total_seconds() / 3600\\n \\n if age_hours > 48:\\n print(f\\\"\u26a0 STALE LOCK: {lf.name} ({age_hours:.1f}h old)\\\")\\n```\\n\\n## Health Check Script Template\\n\\nComplete diagnostic script (copy-paste ready):\\n\\n```python\\nfrom pathlib import Path\\nimport chromadb\\nfrom datetime import datetime\\nimport json\\n\\nrose_home = Path(\\\"/Users/rose\\\") # Or use os.path.expanduser(\\\"~\\\")\\nhermes_dir = rose_home / \\\".hermes\\\"\\nchroma_path = hermes_dir / \\\"chroma_db\\\"\\nmemory_vault = hermes_dir / \\\"memory\\\"\\n\\nprint(\\\"=\\\" * 70)\\nprint(\\\" \ud83e\udde0 MEMORY SYSTEM HEALTH CHECK\\\")\\nprint(f\\\" Generated: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\\\")\\nprint(\\\"=\\\" * 70)\\n\\n# 1. ChromaDB Health\\ntry:\\n client = chromadb.PersistentClient(path=str(chroma_path))\\n collections = client.list_collections()\\n \\n for coll in collections:\\n count = coll.count()\\n print(f\\\"\u2713 Collection {coll.name}: {count} documents\\\")\\n \\n # Sample recent entries\\n if count >= 3:\\n samples = coll.get(limit=3, order_by=[\\\"created_at DESC\\\"])\\n for meta in samples['metadatas']:\\n title = meta.get('title', 'No title')\\n last_synced = meta.get('last_synced_at', 'Unknown')\\n print(f\\\" \u2022 {title} (synced: {last_synced})\\\")\\n\\nexcept Exception as e:\\n print(f\\\"\u2717 ChromaDB error: {e}\\\")\\n\\n# 2. Vault File Status\\nmd_files = list(memory_vault.glob(\\\"*.md\\\"))\\nprint(f\\\"\\\\n\ud83d\udcc1 Memory vault: {len(md_files)} .md files\\\")\\n\\nif md_files:\\n recent_count = sum(1 for f in md_files if (datetime.now() - datetime.fromtimestamp(f.stat().st_mtime)).total_seconds() < 24*3600)\\n print(f\\\" Modified today: {recent_count}/{len(md_files)}\\\")\\n\\n# 3. Lock File Check\\nlock_files = list(hermes_dir.glob(\\\"*.lock\\\"))\\nif lock_files:\\n stale_locks = [lf for lf in lock_files if (datetime.now() - datetime.fromtimestamp(lf.stat().st_mtime)).total_seconds() > 48*3600]\\n if stale_locks:\\n print(f\\\"\u26a0 {len(stale_locks)} stale lock file(s) detected\\\")\\n\\n# 4. Summary\\nprint(\\\"\\\\n\\\" + \\\"=\\\" * 70)\\nprint(\\\" \u2705 FINAL VERDICT\\\")\\nprint(\\\"=\\\" * 70)\\n\\nif collections and md_files:\\n print(\\\"\ud83d\udfe2 SYSTEM STATUS: ALL OPERATIONAL\\\")\\nelse:\\n print(\\\"\ud83d\udd34 ISSUES DETECTED - Review above for details\\\")\\n```\\n\\n## Health Check Report Structure\\n\\nA complete health check should report:\\n\\n| Component | What to Verify | Status Indicators |\\n|-----------|----------------|-------------------|\\n| **ChromaDB** | Connection, collections, document count | \u2713 Healthy (count > 0) / \u2717 Error |\\n| **Memory Vault** | Directory exists, .md files present | \u2713 Accessible / \u26a0 Empty |\\n| **Sync Status** | File count vs indexed documents | \u2713 Synced (diff \u2264 2) / \u26a0 Discrepancy |\\n| **Lock Files** | No stale locks (> 48h old) | \u2713 All current / \u26a0 Stale detected |\\n\\n## Common Issues & Fixes\\n\\n### Issue: \\\"Sync discrepancy detected\\\" (count mismatch)\\n**Cause 1 (Normal):** Vault has more files than indexed documents \\n**Explanation:** Not all vault files are meant for semantic search! The `topics/` directory contains indexable facts, while project documentation (PROJECT_PLAN.md, memory-system-design.md, etc.) intentionally stays unindexed.\\n\\n**Fix:** Only sync if `topics/*.md` count differs from ChromaDB document count:\\n```bash\\npython3 ~/.hermes/tools/sync_memory_to_chromadb.py\\n```\\n\\n### Issue: \\\"Duplicate documents detected\\\" (missing metadata)\\n**Symptoms:** \\n- Document count is roughly 2x the source file count\\n- Some indexed documents have no title or \\\"Unknown\\\" sync timestamp\\n- Source files are intact but ChromaDB has redundant entries\\n\\n**Cause:** Sync script creating duplicate entries, likely from:\\n1. Chunked content indexing + full document indexing (both being added)\\n2. Multiple sync runs without checking for existing entries\\n3. Missing deduplication logic before insertion\\n\\n**Verification:** Check for documents with missing metadata:\\n```python\\nfor coll in collections:\\n docs = coll.get(include=[\\\"metadatas\\\"])\\n bad_metadata = sum(1 for m in docs['metadatas'] \\n if not m.get('title') or not m.get('last_synced_at'))\\n print(f\\\"Documents with missing metadata: {bad_metadata}\\\")\\n```\\n\\n**Fix Options:**\\n\\n**Option A (Low Priority):** Leave as-is if search works fine. The system is functional with duplicates; they just consume extra storage and may cause minor search result duplication.\\n\\n**Option B (Recommended - Preventive):** Update sync script to add deduplication:\\n```python\\n# Before inserting, check for existing document by source_file metadata\\nexisting = collection.get(\\n where={\\\"source_file\\\": source_filename},\\n include=[\\\"metadatas\\\"]\\n)\\nif len(existing['ids']) > 0:\\n # Update existing instead of creating duplicate\\n collection.update(id=existing['ids'][0], ...)\\nelse:\\n # Insert new document\\n collection.add(...)\\n```\\n\\n**Option C (Cleanup - If causing search issues):** Remove documents with missing metadata:\\n```python\\n# Get all IDs with bad metadata\\nbad_ids = [i for i, m in enumerate(docs['metadatas']) \\n if not m.get('title') or not m.get('last_synced_at')]\\n\\n# Delete them (be careful! verify first)\\nfor idx in bad_ids:\\n collection.delete(ids=[docs['ids'][idx]])\\n```\\n\\n**Prevention:** Add metadata validation to sync script before insertion.\\n\\n## Integration with Cron Jobs\\n\\nSchedule regular health checks via cron:\\n\\n```bash\\n# Daily at 08:00\\n0 8 * * * python3 ~/.hermes/tools/memory_health_check.py >> ~/.hermes/logs/health_check.log 2>&1\\n```\\n\\nOr use Hermes Agent's built-in scheduler:\\n\\n```yaml\\nname: Memory Health Check\\nschedule: \\\"0 8 * * *\\\"\\nscript: ~/.hermes/scripts/memory_health_check.py\\n```\\n\\n## Related Skills\\n\\n- `memory-system-audit` \u2014 Complete verification checklist (4-point framework)\\n- `rose-memory-chromadb-sync` \u2014 Sync script maintenance and troubleshooting\\n- `hermes-hybrid-memory-system` \u2014 Architecture design for hybrid memory systems\\n- `biomimetic-memory-structure` \u2014 Knowledge organization patterns\\n\\n## Best Practices\\n\\n1. **Always use path discovery** \u2014 Never hardcode `/home/nous` or similar paths\\n2. **Check lock files first** \u2014 Stale locks often indicate deeper issues\\n3. **Cross-reference counts** \u2014 Vault vs DB mismatch is common failure mode\\n4. **Generate actionable reports** \u2014 Include specific recommendations, not just status\\n\", \"path\": \"hermes-agent/memory-health-check/SKILL.md\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\"}",
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"timestamp": 1776242592.595158
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},
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{
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"role": "assistant",
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"content": "Calling the execute_code tool...",
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"timestamp": 1776242592.595596
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},
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{
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"role": "tool",
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"content": "{\"status\": \"success\", \"output\": \"======================================================================\\n \ud83e\udde0 MEMORY SYSTEM HEALTH CHECK\\n Generated: 2026-04-15 10:41:49\\n======================================================================\\n\\n\ud83d\udcca ChromaDB Status:\\n \u2713 Collection 'rose_memory': 3 documents\\n \u2717 ChromaDB error: Collection.get() got an unexpected keyword argument 'order_by'\\n\\n\ud83d\udcc1 Memory Vault Status:\\n \u2713 Directory exists at: /Users/rose/.hermes/memory\\n \u2022 Total .md files: 8\\n \u2022 Modified today: 1/8\\n Most recent:\\n \u2022 MEMORY_ARCHITECTURE.md (1.5h ago)\\n \u2022 memory-system-design.md (46.5h ago)\\n \u2022 PROJECT_PLAN.md (61.4h ago)\\n \u2022 phase_3_testing_report.md (62.9h ago)\\n \u2022 PHASE_3_COMPLETION.md (63.2h ago)\\n\\n\ud83d\udd04 Sync Status:\\n\\n\ud83d\udd12 Lock Files:\\n \u2022 auth.lock: 22.4h old (\u2713 Current)\\n\\n\ud83d\udccb Data Integrity:\\n\\n======================================================================\\n \u2705 FINAL VERDICT\\n======================================================================\\n\ud83d\udd34 ISSUES DETECTED:\\n \u2022 No ChromaDB collections found or connection failed\\n======================================================================\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.63}",
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"timestamp": 1776242592.595762
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}
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],
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"tool_calls": [],
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"created_at": 1776242388.159701,
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"updated_at": 1776242592.595762,
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"pinned": false,
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"archived": false,
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"project_id": null,
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"profile": "default",
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"input_tokens": 0,
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"output_tokens": 0,
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"estimated_cost": null,
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"pending_user_message": null,
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"pending_attachments": [],
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"pending_started_at": null,
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"is_cli_session": true,
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"_cli_origin": "20260415_103948_734d2b"
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} |