add MongoDocStatusStorage

remove unnecessary logging

format

lightrag/api/lightrag_server.py

@@ -130,7 +130,7 @@ if mongo_uri:
     os.environ["MONGO_URI"] = mongo_uri
     os.environ["MONGO_DATABASE"] = mongo_database
     rag_storage_config.KV_STORAGE = "MongoKVStorage"
-    rag_storage_config.DOC_STATUS_STORAGE = "MongoKVStorage"
+    rag_storage_config.DOC_STATUS_STORAGE = "MongoDocStatusStorage"
     if mongo_graph:
         rag_storage_config.GRAPH_STORAGE = "MongoGraphStorage"
 

lightrag/base.py

@@ -227,6 +227,14 @@ class DocStatusStorage(BaseKVStorage):
         """Get all pending documents"""
         raise NotImplementedError
 
+    async def get_processing_docs(self) -> dict[str, DocProcessingStatus]:
+        """Get all processing documents"""
+        raise NotImplementedError
+
+    async def get_processed_docs(self) -> dict[str, DocProcessingStatus]:
+        """Get all procesed documents"""
+        raise NotImplementedError
+
     async def update_doc_status(self, data: dict[str, Any]) -> None:
         """Updates the status of a document. By default, it calls upsert."""
         await self.upsert(data)

lightrag/kg/mongo_impl.py

@@ -16,7 +16,13 @@ from typing import Any, List, Tuple, Union
 from motor.motor_asyncio import AsyncIOMotorClient
 from pymongo import MongoClient
 
-from ..base import BaseGraphStorage, BaseKVStorage
+from ..base import (
+    BaseGraphStorage,
+    BaseKVStorage,
+    DocProcessingStatus,
+    DocStatus,
+    DocStatusStorage,
+)
 from ..namespace import NameSpace, is_namespace
 from ..utils import logger
 
@@ -39,7 +45,8 @@ class MongoKVStorage(BaseKVStorage):
 
     async def filter_keys(self, data: set[str]) -> set[str]:
         existing_ids = [
-            str(x["_id"]) for x in self._data.find({"_id": {"$in": data}}, {"_id": 1})
+            str(x["_id"])
+            for x in self._data.find({"_id": {"$in": list(data)}}, {"_id": 1})
         ]
         return set([s for s in data if s not in existing_ids])
 
@@ -77,6 +84,82 @@ class MongoKVStorage(BaseKVStorage):
         await self._data.drop()
 
 
+@dataclass
+class MongoDocStatusStorage(DocStatusStorage):
+    def __post_init__(self):
+        client = MongoClient(
+            os.environ.get("MONGO_URI", "mongodb://root:root@localhost:27017/")
+        )
+        database = client.get_database(os.environ.get("MONGO_DATABASE", "LightRAG"))
+        self._data = database.get_collection(self.namespace)
+        logger.info(f"Use MongoDB as doc status {self.namespace}")
+
+    async def get_by_id(self, id: str) -> Union[dict[str, Any], None]:
+        return self._data.find_one({"_id": id})
+
+    async def get_by_ids(self, ids: list[str]) -> list[dict[str, Any]]:
+        return list(self._data.find({"_id": {"$in": ids}}))
+
+    async def filter_keys(self, data: set[str]) -> set[str]:
+        existing_ids = [
+            str(x["_id"])
+            for x in self._data.find({"_id": {"$in": list(data)}}, {"_id": 1})
+        ]
+        return set([s for s in data if s not in existing_ids])
+
+    async def upsert(self, data: dict[str, dict[str, Any]]) -> None:
+        for k, v in data.items():
+            self._data.update_one({"_id": k}, {"$set": v}, upsert=True)
+            data[k]["_id"] = k
+
+    async def drop(self) -> None:
+        """Drop the collection"""
+        await self._data.drop()
+
+    async def get_status_counts(self) -> dict[str, int]:
+        """Get counts of documents in each status"""
+        pipeline = [{"$group": {"_id": "$status", "count": {"$sum": 1}}}]
+        result = list(self._data.aggregate(pipeline))
+        counts = {}
+        for doc in result:
+            counts[doc["_id"]] = doc["count"]
+        return counts
+
+    async def get_docs_by_status(
+        self, status: DocStatus
+    ) -> dict[str, DocProcessingStatus]:
+        """Get all documents by status"""
+        result = list(self._data.find({"status": status.value}))
+        return {
+            doc["_id"]: DocProcessingStatus(
+                content=doc["content"],
+                content_summary=doc.get("content_summary"),
+                content_length=doc["content_length"],
+                status=doc["status"],
+                created_at=doc.get("created_at"),
+                updated_at=doc.get("updated_at"),
+                chunks_count=doc.get("chunks_count", -1),
+            )
+            for doc in result
+        }
+
+    async def get_failed_docs(self) -> dict[str, DocProcessingStatus]:
+        """Get all failed documents"""
+        return await self.get_docs_by_status(DocStatus.FAILED)
+
+    async def get_pending_docs(self) -> dict[str, DocProcessingStatus]:
+        """Get all pending documents"""
+        return await self.get_docs_by_status(DocStatus.PENDING)
+
+    async def get_processing_docs(self) -> dict[str, DocProcessingStatus]:
+        """Get all processing documents"""
+        return await self.get_docs_by_status(DocStatus.PROCESSING)
+
+    async def get_processed_docs(self) -> dict[str, DocProcessingStatus]:
+        """Get all procesed documents"""
+        return await self.get_docs_by_status(DocStatus.PROCESSED)
+
+
 @dataclass
 class MongoGraphStorage(BaseGraphStorage):
     """

lightrag/kg/postgres_impl.py

@@ -495,6 +495,14 @@ class PGDocStatusStorage(DocStatusStorage):
         """Get all pending documents"""
         return await self.get_docs_by_status(DocStatus.PENDING)
 
+    async def get_processing_docs(self) -> dict[str, DocProcessingStatus]:
+        """Get all processing documents"""
+        return await self.get_docs_by_status(DocStatus.PROCESSING)
+
+    async def get_processed_docs(self) -> dict[str, DocProcessingStatus]:
+        """Get all procesed documents"""
+        return await self.get_docs_by_status(DocStatus.PROCESSED)
+
     async def index_done_callback(self):
         """Save data after indexing, but for PostgreSQL, we already saved them during the upsert stage, so no action to take here"""
         logger.info("Doc status had been saved into postgresql db!")

lightrag/kg/qdrant_impl.py

@@ -70,7 +70,6 @@ class QdrantVectorDBStorage(BaseVectorStorage):
         )
 
     async def upsert(self, data: dict[str, dict]):
-        logger.info(f"Inserting {len(data)} vectors to {self.namespace}")
         if not len(data):
             logger.warning("You insert an empty data to vector DB")
             return []
@@ -123,5 +122,4 @@ class QdrantVectorDBStorage(BaseVectorStorage):
             limit=top_k,
             with_payload=True,
         )
-        logger.debug(f"query result: {results}")
         return [{**dp.payload, "id": dp.id, "distance": dp.score} for dp in results]

lightrag/lightrag.py

@@ -46,6 +46,7 @@ STORAGES = {
     "OracleVectorDBStorage": ".kg.oracle_impl",
     "MilvusVectorDBStorge": ".kg.milvus_impl",
     "MongoKVStorage": ".kg.mongo_impl",
+    "MongoDocStatusStorage": ".kg.mongo_impl",
     "MongoGraphStorage": ".kg.mongo_impl",
     "RedisKVStorage": ".kg.redis_impl",
     "ChromaVectorDBStorage": ".kg.chroma_impl",