from dataclasses import dataclass import os from typing import Any, Union, final from lightrag.base import ( DocProcessingStatus, DocStatus, DocStatusStorage, ) from lightrag.utils import ( load_json, logger, write_json, ) from .shared_storage import ( get_namespace_data, get_storage_lock, get_data_init_lock, get_update_flag, set_all_update_flags, clear_all_update_flags, try_initialize_namespace, ) @final @dataclass class JsonDocStatusStorage(DocStatusStorage): """JSON implementation of document status storage""" def __post_init__(self): working_dir = self.global_config["working_dir"] self._file_name = os.path.join(working_dir, f"kv_store_{self.namespace}.json") self._data = None self._storage_lock = None self.storage_updated = None async def initialize(self): """Initialize storage data""" self._storage_lock = get_storage_lock() self.storage_updated = await get_update_flag(self.namespace) async with get_data_init_lock(): # check need_init must before get_namespace_data need_init = await try_initialize_namespace(self.namespace) self._data = await get_namespace_data(self.namespace) if need_init: loaded_data = load_json(self._file_name) or {} async with self._storage_lock: self._data.update(loaded_data) logger.info( f"Process {os.getpid()} doc status load {self.namespace} with {len(loaded_data)} records" ) async def filter_keys(self, keys: set[str]) -> set[str]: """Return keys that should be processed (not in storage or not successfully processed)""" async with self._storage_lock: return set(keys) - set(self._data.keys()) async def get_by_ids(self, ids: list[str]) -> list[dict[str, Any]]: result: list[dict[str, Any]] = [] async with self._storage_lock: for id in ids: data = self._data.get(id, None) if data: result.append(data) return result async def get_status_counts(self) -> dict[str, int]: """Get counts of documents in each status""" counts = {status.value: 0 for status in DocStatus} async with self._storage_lock: for doc in self._data.values(): counts[doc["status"]] += 1 return counts async def get_docs_by_status( self, status: DocStatus ) -> dict[str, DocProcessingStatus]: """Get all documents with a specific status""" result = {} async with self._storage_lock: for k, v in self._data.items(): if v["status"] == status.value: try: # Make a copy of the data to avoid modifying the original data = v.copy() # If content is missing, use content_summary as content if "content" not in data and "content_summary" in data: data["content"] = data["content_summary"] # If file_path is not in data, use document id as file path if "file_path" not in data: data["file_path"] = "no-file-path" result[k] = DocProcessingStatus(**data) except KeyError as e: logger.error(f"Missing required field for document {k}: {e}") continue return result async def index_done_callback(self) -> None: async with self._storage_lock: if self.storage_updated.value: data_dict = ( dict(self._data) if hasattr(self._data, "_getvalue") else self._data ) logger.debug( f"Process {os.getpid()} doc status writting {len(data_dict)} records to {self.namespace}" ) write_json(data_dict, self._file_name) await clear_all_update_flags(self.namespace) async def upsert(self, data: dict[str, dict[str, Any]]) -> None: """ Importance notes for in-memory storage: 1. Changes will be persisted to disk during the next index_done_callback 2. update flags to notify other processes that data persistence is needed """ if not data: return logger.debug(f"Inserting {len(data)} records to {self.namespace}") async with self._storage_lock: self._data.update(data) await set_all_update_flags(self.namespace) await self.index_done_callback() async def get_by_id(self, id: str) -> Union[dict[str, Any], None]: async with self._storage_lock: return self._data.get(id) async def delete(self, doc_ids: list[str]) -> None: """Delete specific records from storage by their IDs Importance notes for in-memory storage: 1. Changes will be persisted to disk during the next index_done_callback 2. update flags to notify other processes that data persistence is needed Args: ids (list[str]): List of document IDs to be deleted from storage Returns: None """ async with self._storage_lock: any_deleted = False for doc_id in doc_ids: result = self._data.pop(doc_id, None) if result is not None: any_deleted = True if any_deleted: await set_all_update_flags(self.namespace) async def drop(self) -> dict[str, str]: """Drop all document status data from storage and clean up resources This method will: 1. Clear all document status data from memory 2. Update flags to notify other processes 3. Trigger index_done_callback to save the empty state Returns: dict[str, str]: Operation status and message - On success: {"status": "success", "message": "data dropped"} - On failure: {"status": "error", "message": ""} """ try: async with self._storage_lock: self._data.clear() await set_all_update_flags(self.namespace) await self.index_done_callback() logger.info(f"Process {os.getpid()} drop {self.namespace}") return {"status": "success", "message": "data dropped"} except Exception as e: logger.error(f"Error dropping {self.namespace}: {e}") return {"status": "error", "message": str(e)}