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MongoDB Tool - Quản lý MongoDB qua pymongo.
Author: Hieu Louis (2026)
Operations: find, insert, update, delete, aggregate, create_index.
"""
from __future__ import annotations
import json
from datetime import datetime, date
from typing import Any, Dict, List, Optional
from .base import Tool, ToolResult, ToolContext, ToolCategory, ToolSafety
# Operations ghi/xoá // write ops
WRITE_OPS = {"insert", "update", "delete", "create_index"}
def _json_default(o: Any) -> Any:
"""Serializer cho BSON ObjectId / datetime // BSON fallback."""
try:
from bson import ObjectId # type: ignore
if isinstance(o, ObjectId):
return str(o)
except Exception:
pass
if isinstance(o, (datetime, date)):
return o.isoformat()
if isinstance(o, bytes):
try:
return o.decode("utf-8")
except Exception:
return o.hex()
return str(o)
class MongoTool(Tool):
"""Quản lý MongoDB: find, insert, update, delete, aggregate, create_index."""
category = ToolCategory.DATABASE
safety = ToolSafety.DANGEROUS
requires_confirmation = True
@property
def name(self) -> str:
return "mongo"
@property
def description(self) -> str:
return (
"Quản lý MongoDB qua pymongo: find, insert (one/many), update (one/many), "
"delete (one/many), aggregate, create_index."
)
@property
def parameters(self) -> Dict[str, Any]:
return {
"type": "object",
"properties": {
"connection_string": {"type": "string", "description": "MongoDB URL (mongodb://host:27017 hoặc mongodb+srv://...)"},
"database": {"type": "string", "description": "Tên database"},
"collection": {"type": "string", "description": "Tên collection"},
"operation": {
"type": "string",
"enum": ["find", "insert", "update", "delete", "aggregate", "create_index"],
"description": "Mongo operation",
},
"filter": {"type": "object", "description": "Query filter (find/update/delete)"},
"doc": {"type": "object", "description": "Document (insert one)"},
"docs": {"type": "array", "items": {"type": "object"}, "description": "Documents (insert many)"},
"update": {"type": "object", "description": "Update spec (vd: {$set: {..}})"},
"pipeline": {"type": "array", "items": {}, "description": "Aggregation pipeline (aggregate)"},
"index": {
"oneOf": [{"type": "string"}, {"type": "object"}],
"description": "Index spec (create_index, vd: {\"email\": 1})",
},
"many": {"type": "boolean", "description": "Update/Delete nhiều (default false)"},
"limit": {"type": "integer", "description": "Giới hạn kết quả (default 100)"},
},
"required": ["connection_string", "database", "collection", "operation"],
}
def validate_args(self, args: Dict[str, Any]) -> Optional[str]:
for k in ("connection_string", "database", "collection", "operation"):
if not args.get(k):
return f"Missing required arg: {k}"
op = args["operation"]
if op == "insert" and not (args.get("doc") or args.get("docs")):
return "Operation 'insert' requires 'doc' or 'docs' arg"
if op == "update" and not args.get("update"):
return "Operation 'update' requires 'update' arg"
if op == "aggregate" and not args.get("pipeline"):
return "Operation 'aggregate' requires 'pipeline' arg"
if op == "create_index" and not args.get("index"):
return "Operation 'create_index' requires 'index' arg"
return None
def execute(self, args: Dict[str, Any], context: ToolContext) -> ToolResult:
cs: str = args["connection_string"]
db_name: str = args["database"]
coll_name: str = args["collection"]
op: str = args["operation"]
# Lazy import pymongo // lazy import
try:
from pymongo import MongoClient, ASCENDING # type: ignore
except ImportError as e:
return ToolResult(
success=False,
error=f"pymongo not installed: {e}. Cài: pip install pymongo",
return_code=127,
)
# Dry-run cho write ops // dry-run
if context.dry_run and op in WRITE_OPS:
return ToolResult(
success=True,
output=f"[dry-run] Would run {op} on {db_name}.{coll_name}",
metadata={"dry_run": True, "operation": op, "database": db_name, "collection": coll_name},
)
try:
client = MongoClient(cs, serverSelectionTimeoutMS=context.timeout * 1000)
db = client[db_name]
coll = db[coll_name]
if op == "find":
flt = args.get("filter") or {}
limit = int(args.get("limit") or 100)
docs = list(coll.find(flt).limit(limit))
payload = json.dumps(docs, default=_json_default, ensure_ascii=False, indent=2)
return ToolResult(success=True, output=payload, metadata={"count": len(docs)})
if op == "insert":
if args.get("docs"):
result = coll.insert_many(args["docs"])
return ToolResult(
success=True,
output=json.dumps({"inserted": len(result.inserted_ids)}, default=_json_default),
metadata={"inserted_ids": [str(i) for i in result.inserted_ids]},
)
result = coll.insert_one(args["doc"])
return ToolResult(
success=True,
output=json.dumps({"inserted_id": str(result.inserted_id)}, default=_json_default),
metadata={"inserted_id": str(result.inserted_id)},
)
if op == "update":
flt = args.get("filter") or {}
upd = args["update"]
if args.get("many"):
result = coll.update_many(flt, upd)
else:
result = coll.update_one(flt, upd)
return ToolResult(
success=True,
output=json.dumps({"matched": result.matched_count, "modified": result.modified_count}),
metadata={"matched": result.matched_count, "modified": result.modified_count},
)
if op == "delete":
flt = args.get("filter") or {}
if args.get("many"):
result = coll.delete_many(flt)
else:
result = coll.delete_one(flt)
return ToolResult(
success=True,
output=json.dumps({"deleted": result.deleted_count}),
metadata={"deleted": result.deleted_count},
)
if op == "aggregate":
pipeline = args["pipeline"]
docs = list(coll.aggregate(pipeline))
payload = json.dumps(docs, default=_json_default, ensure_ascii=False, indent=2)
return ToolResult(success=True, output=payload, metadata={"count": len(docs)})
if op == "create_index":
spec = args["index"]
if isinstance(spec, str):
spec = [(spec, ASCENDING)]
name = coll.create_index(spec)
return ToolResult(
success=True,
output=f"Index created: {name}",
metadata={"index_name": name},
)
return ToolResult(success=False, error=f"Unknown operation: {op}", return_code=1)
except Exception as e:
return ToolResult(success=False, error=str(e), return_code=1)
finally:
try:
client.close()
except Exception:
pass
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