Initial commit: workspace setup with skills, memory, config

2026-02-10 14:37:49 -06:00
commit d1357c5463
77 changed files with 10822 additions and 0 deletions
--- a/skills/qdrant-memory/scripts/init_collection.py
+++ b/skills/qdrant-memory/scripts/init_collection.py
@@ -0,0 +1,113 @@
+#!/usr/bin/env python3
+"""
+Initialize Qdrant collection for OpenClaw memories
+Usage: init_collection.py [--recreate]
+"""
+
+import argparse
+import sys
+import urllib.request
+import json
+
+QDRANT_URL = "http://10.0.0.40:6333"
+COLLECTION_NAME = "openclaw_memories"
+
+def make_request(url, data=None, method="GET"):
+    """Make HTTP request with proper method"""
+    req = urllib.request.Request(url, method=method)
+    if data:
+        req.data = json.dumps(data).encode()
+        req.add_header("Content-Type", "application/json")
+    return req
+
+def collection_exists():
+    """Check if collection exists"""
+    try:
+        req = make_request(f"{QDRANT_URL}/collections/{COLLECTION_NAME}")
+        with urllib.request.urlopen(req, timeout=5) as response:
+            return True
+    except urllib.error.HTTPError as e:
+        if e.code == 404:
+            return False
+        raise
+    except Exception as e:
+        print(f"Error checking collection: {e}", file=sys.stderr)
+        return False
+
+def create_collection():
+    """Create the memories collection using PUT"""
+    config = {
+        "vectors": {
+            "size": 768,  # nomic-embed-text outputs 768 dimensions
+            "distance": "Cosine"
+        }
+    }
+    
+    req = make_request(
+        f"{QDRANT_URL}/collections/{COLLECTION_NAME}",
+        data=config,
+        method="PUT"
+    )
+    
+    try:
+        with urllib.request.urlopen(req, timeout=10) as response:
+            result = json.loads(response.read().decode())
+            return result.get("result") == True
+    except Exception as e:
+        print(f"Error creating collection: {e}", file=sys.stderr)
+        return False
+
+def delete_collection():
+    """Delete collection if exists"""
+    req = make_request(
+        f"{QDRANT_URL}/collections/{COLLECTION_NAME}",
+        method="DELETE"
+    )
+    
+    try:
+        with urllib.request.urlopen(req, timeout=5) as response:
+            return True
+    except Exception as e:
+        print(f"Error deleting collection: {e}", file=sys.stderr)
+        return False
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="Initialize Qdrant collection")
+    parser.add_argument("--recreate", action="store_true", help="Delete and recreate collection")
+    
+    args = parser.parse_args()
+    
+    # Check if Qdrant is reachable
+    try:
+        req = make_request(f"{QDRANT_URL}/")
+        with urllib.request.urlopen(req, timeout=3) as response:
+            pass
+    except Exception as e:
+        print(f"❌ Cannot connect to Qdrant at {QDRANT_URL}: {e}", file=sys.stderr)
+        sys.exit(1)
+    
+    print(f"✅ Connected to Qdrant at {QDRANT_URL}")
+    
+    exists = collection_exists()
+    
+    if exists and args.recreate:
+        print(f"Deleting existing collection '{COLLECTION_NAME}'...")
+        if delete_collection():
+            print(f"✅ Deleted collection")
+            exists = False
+        else:
+            print(f"❌ Failed to delete collection", file=sys.stderr)
+            sys.exit(1)
+    
+    if not exists:
+        print(f"Creating collection '{COLLECTION_NAME}'...")
+        if create_collection():
+            print(f"✅ Created collection '{COLLECTION_NAME}'")
+            print(f"   Vector size: 768, Distance: Cosine")
+        else:
+            print(f"❌ Failed to create collection", file=sys.stderr)
+            sys.exit(1)
+    else:
+        print(f"✅ Collection '{COLLECTION_NAME}' already exists")
+    
+    print("\n🎉 Qdrant memory collection ready!")