from __future__ import annotations import json import os import subprocess from typing import Any, Dict, List import requests from .registry import ToolRegistry def t_cql_exec(args: Dict[str, Any]) -> str: """Execute CQL via cqlsh. Args: hosts(list or csv), query(str), keyspace(optional), username/password from env if not provided. Requires: cqlsh installed and reachable. """ hosts = args.get("hosts") if isinstance(hosts, str): hosts = [h.strip() for h in hosts.split(",") if h.strip()] if not hosts: return json.dumps({"error": "hosts required"}) query = args.get("query") if not query: return json.dumps({"error": "query required"}) keyspace = args.get("keyspace") user = args.get("username") or os.getenv("SCYLLA_USER") pw = args.get("password") or os.getenv("SCYLLA_PASS") host = hosts[0] cmd: List[str] = ["cqlsh", host, "9042"] if user and pw: cmd += ["-u", user, "-p", pw] if keyspace: cmd += ["-k", keyspace] try: proc = subprocess.run(cmd, input=query, text=True, capture_output=True, timeout=60) return json.dumps({"returncode": proc.returncode, "stdout": proc.stdout[-4000:], "stderr": proc.stderr[-4000:]}) except Exception as e: return json.dumps({"error": str(e)}) def t_gremlin_exec(args: Dict[str, Any]) -> str: """Execute a Gremlin query against Gremlin Server (ws/json HTTP endpoint). Args: url (ws:// or http://), Gremlin groovy string 'query'. """ url = args.get("url") or os.getenv("GREMLIN_URL", "http://localhost:17002") query = args.get("query") if not query: return json.dumps({"error": "query required"}) # Try HTTP first (JanusGraph can enable REST). If fails, return error; clients can adapt. try: r = requests.post(f"{url}/gremlin", json={"gremlin": query}, timeout=15) return json.dumps({"status": r.status_code, "body": r.text[:50000]}) except Exception as e: return json.dumps({"error": str(e)}) def t_qdrant_upsert(args: Dict[str, Any]) -> str: url = args.get("url") or os.getenv("QDRANT_URL", "http://localhost:17000") collection = args.get("collection") or os.getenv("QDRANT_COLLECTION", "elizabeth_embeddings") points = args.get("points") or [] if not points: return json.dumps({"error": "points required"}) payload = {"points": points} try: r = requests.put(f"{url}/collections/{collection}/points", json=payload, timeout=30) return json.dumps({"status": r.status_code, "body": r.text[:50000]}) except Exception as e: return json.dumps({"error": str(e)}) def t_qdrant_query(args: Dict[str, Any]) -> str: url = args.get("url") or os.getenv("QDRANT_URL", "http://localhost:17000") collection = args.get("collection") or os.getenv("QDRANT_COLLECTION", "elizabeth_embeddings") vector = args.get("vector") top = int(args.get("top", 5)) filter_ = args.get("filter") if not isinstance(vector, list): return json.dumps({"error": "vector required (list[float])"}) payload = {"vector": vector, "top": top} if filter_: payload["filter"] = filter_ try: r = requests.post(f"{url}/collections/{collection}/points/search", json=payload, timeout=30) return json.dumps({"status": r.status_code, "body": r.text[:50000]}) except Exception as e: return json.dumps({"error": str(e)}) def t_clickhouse_query(args: Dict[str, Any]) -> str: url = args.get("url") or os.getenv("CLICKHOUSE_URL", "http://localhost:8123") query = args.get("query") if not query: return json.dumps({"error": "query required"}) try: r = requests.post(url, data=query, timeout=30) return json.dumps({"status": r.status_code, "body": r.text[:50000]}) except Exception as e: return json.dumps({"error": str(e)}) def register_tools(reg: ToolRegistry) -> None: reg.register( name="cql_exec", description="Execute Scylla/Cassandra CQL via cqlsh.", parameters={"type": "object", "properties": {"hosts": {"oneOf": [{"type": "array", "items": {"type": "string"}}, {"type": "string"}]}, "query": {"type": "string"}, "keyspace": {"type": "string"}, "username": {"type": "string"}, "password": {"type": "string"}}, "required": ["hosts", "query"]}, handler=t_cql_exec, ) reg.register( name="gremlin_exec", description="Execute a Gremlin query against Gremlin Server (HTTP endpoint).", parameters={"type": "object", "properties": {"url": {"type": "string"}, "query": {"type": "string"}}, "required": ["query"]}, handler=t_gremlin_exec, ) reg.register( name="qdrant_upsert", description="Upsert points into a Qdrant collection.", parameters={"type": "object", "properties": {"url": {"type": "string"}, "collection": {"type": "string"}, "points": {"type": "array"}}, "required": ["points"]}, handler=t_qdrant_upsert, ) reg.register( name="qdrant_query", description="Query nearest vectors from a Qdrant collection.", parameters={"type": "object", "properties": {"url": {"type": "string"}, "collection": {"type": "string"}, "vector": {"type": "array"}, "top": {"type": "integer"}, "filter": {"type": "object"}}, "required": ["vector"]}, handler=t_qdrant_query, ) reg.register( name="clickhouse_query", description="Query ClickHouse over HTTP (port 8123).", parameters={"type": "object", "properties": {"url": {"type": "string"}, "query": {"type": "string"}}, "required": ["query"]}, handler=t_clickhouse_query, )