555 lines
22 KiB
Python
555 lines
22 KiB
Python
from dataclasses import dataclass
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import os
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from typing import Any, Union, final
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from lightrag.base import (
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DocProcessingStatus,
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DocStatus,
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DocStatusStorage,
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)
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from lightrag.file_atomic import reap_orphan_tmp_files
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from lightrag.utils import (
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_cooperative_yield,
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load_json,
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logger,
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validate_workspace,
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write_json,
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get_pinyin_sort_key,
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)
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from lightrag.exceptions import StorageNotInitializedError
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from .shared_storage import (
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get_namespace_data,
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get_namespace_lock,
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get_data_init_lock,
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get_update_flag,
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set_all_update_flags,
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clear_all_update_flags,
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try_initialize_namespace,
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)
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@final
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@dataclass
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class JsonDocStatusStorage(DocStatusStorage):
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"""JSON-file-backed document-status storage, sharing memory across processes.
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Uses the **same shared-memory + dirty-flag protocol** as
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``JsonKVStorage`` — see that class's docstring for the canonical
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description of:
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* how ``self._data`` is a cross-process
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``multiprocessing.Manager().dict()`` proxy obtained via
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``get_namespace_data``;
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* how ``try_initialize_namespace`` ensures exactly one process
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reads the JSON file on first init;
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* how ``set_all_update_flags`` marks dirty state (semantics
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*reversed* from the file-backed classes
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``NanoVectorDBStorage`` / ``FaissVectorDBStorage`` /
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``NetworkXStorage``);
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* how ``index_done_callback`` flushes and calls
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``clear_all_update_flags``;
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* why ``_storage_lock`` wraps **every** ``self._data`` access
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(not just commit / reload).
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Differences from ``JsonKVStorage`` (in this class only):
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* ``upsert`` calls ``index_done_callback`` synchronously after
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mutating shared memory, so doc-status changes hit disk
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immediately rather than being deferred to the pipeline's
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batched ``_insert_done()``. Rationale: doc-status is the
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recovery anchor for the ingest pipeline — if the process
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crashes after an in-memory upsert but before the next batch
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commit, the doc must still be visible as PENDING/PROCESSING
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on restart. The other writes (``delete``, ``drop``) follow
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the standard deferred-commit pattern.
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* Pre-upsert preparation (``chunks_list`` default) runs
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*outside* the lock because it only mutates the caller-
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supplied dict, not the shared store.
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* Read methods are richer (``get_docs_by_status`` /
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``get_docs_by_track_id`` / ``get_docs_paginated`` /
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``get_doc_by_file_path`` / etc.), but they all follow the
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same "acquire ``_storage_lock``, scan ``self._data``, copy
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values out before returning" template.
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Non-pipeline write paths:
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* ``drop`` — destructive, **not** serialized; the caller must
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hold the pipeline ``busy`` reservation (the
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``/documents/clear`` endpoint does this).
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"""
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def __post_init__(self):
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# Reject path traversal before using workspace in a file path
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validate_workspace(self.workspace)
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working_dir = self.global_config["working_dir"]
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if self.workspace:
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# Include workspace in the file path for data isolation
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workspace_dir = os.path.join(working_dir, self.workspace)
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else:
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# Default behavior when workspace is empty
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workspace_dir = working_dir
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self.workspace = ""
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os.makedirs(workspace_dir, exist_ok=True)
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self._file_name = os.path.join(workspace_dir, f"kv_store_{self.namespace}.json")
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self._data = None
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self._storage_lock = None
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self.storage_updated = None
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reap_orphan_tmp_files(self._file_name, self.workspace or "_")
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async def initialize(self):
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"""Bind to the shared namespace dict and load from disk on first init.
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Same protocol as ``JsonKVStorage.initialize``: a global init
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lock (``try_initialize_namespace``) elects one process to read
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the JSON file into the shared ``self._data``; other processes
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skip the read and see the same shared dict.
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"""
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self._storage_lock = get_namespace_lock(
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self.namespace, workspace=self.workspace
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)
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self.storage_updated = await get_update_flag(
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self.namespace, workspace=self.workspace
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)
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async with get_data_init_lock():
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# check need_init must before get_namespace_data
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need_init = await try_initialize_namespace(
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self.namespace, workspace=self.workspace
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)
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self._data = await get_namespace_data(
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self.namespace, workspace=self.workspace
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)
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if need_init:
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loaded_data = load_json(self._file_name) or {}
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async with self._storage_lock:
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self._data.update(loaded_data)
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logger.info(
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f"[{self.workspace}] Process {os.getpid()} doc status load {self.namespace} with {len(loaded_data)} records"
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)
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async def filter_keys(self, keys: set[str]) -> set[str]:
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"""Return keys that should be processed (not in storage or not successfully processed)"""
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if self._storage_lock is None:
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raise StorageNotInitializedError("JsonDocStatusStorage")
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async with self._storage_lock:
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return set(keys) - set(self._data.keys())
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async def get_by_ids(self, ids: list[str]) -> list[dict[str, Any]]:
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ordered_results: list[dict[str, Any] | None] = []
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if self._storage_lock is None:
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raise StorageNotInitializedError("JsonDocStatusStorage")
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async with self._storage_lock:
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for id in ids:
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data = self._data.get(id, None)
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if data:
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ordered_results.append(data.copy())
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else:
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ordered_results.append(None)
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return ordered_results
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async def get_status_counts(self) -> dict[str, int]:
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"""Get counts of documents in each status"""
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counts = {status.value: 0 for status in DocStatus}
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if self._storage_lock is None:
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raise StorageNotInitializedError("JsonDocStatusStorage")
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async with self._storage_lock:
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for doc in self._data.values():
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counts[doc["status"]] += 1
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return counts
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async def get_docs_by_status(
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self, status: DocStatus
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) -> dict[str, DocProcessingStatus]:
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"""Get all documents with a specific status"""
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return await self.get_docs_by_statuses([status])
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async def get_docs_by_statuses(
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self, statuses: list[DocStatus]
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) -> dict[str, DocProcessingStatus]:
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"""Get all documents matching any of the given statuses in a single pass.
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Acquires the storage lock once and scans the in-memory dict once,
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filtering against a set of status values. More efficient than N separate
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get_docs_by_status() calls, which would acquire the lock N times and scan
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the data N times.
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"""
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if not statuses:
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return {}
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status_values = {s.value for s in statuses}
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result = {}
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async with self._storage_lock:
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for k, v in self._data.items():
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if v["status"] not in status_values:
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continue
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try:
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data = v.copy()
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data.pop("content", None)
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if not data.get("file_path"):
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data["file_path"] = "no-file-path"
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if "metadata" not in data:
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data["metadata"] = {}
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if "error_msg" not in data:
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data["error_msg"] = None
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result[k] = DocProcessingStatus(**data)
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except (KeyError, TypeError) as e:
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logger.error(
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f"[{self.workspace}] Missing required field for document {k}: {e}"
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)
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continue
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return result
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async def get_docs_by_track_id(
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self, track_id: str
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) -> dict[str, DocProcessingStatus]:
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"""Get all documents with a specific track_id"""
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result = {}
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async with self._storage_lock:
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for k, v in self._data.items():
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if v.get("track_id") == track_id:
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try:
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# Make a copy of the data to avoid modifying the original
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data = v.copy()
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# Remove deprecated content field if it exists
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data.pop("content", None)
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# Normalize missing or null file_path
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if not data.get("file_path"):
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data["file_path"] = "no-file-path"
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# Ensure new fields exist with default values
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if "metadata" not in data:
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data["metadata"] = {}
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if "error_msg" not in data:
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data["error_msg"] = None
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result[k] = DocProcessingStatus(**data)
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except KeyError as e:
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logger.error(
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f"[{self.workspace}] Missing required field for document {k}: {e}"
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)
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continue
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return result
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async def index_done_callback(self) -> None:
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"""Flush dirty shared memory to disk and clear all dirty flags.
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Identical commit protocol to ``JsonKVStorage.index_done_callback``
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(snapshot the shared dict → ``write_json`` → if sanitization
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happened reload the cleaned data → ``clear_all_update_flags``).
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See ``JsonKVStorage`` docstring for details.
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"""
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async with self._storage_lock:
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if self.storage_updated.value:
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data_dict = (
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dict(self._data) if hasattr(self._data, "_getvalue") else self._data
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)
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logger.debug(
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f"[{self.workspace}] Process {os.getpid()} doc status writting {len(data_dict)} records to {self.namespace}"
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)
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# Write JSON and check if sanitization was applied
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needs_reload = write_json(data_dict, self._file_name)
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# If data was sanitized, reload cleaned data to update shared memory
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if needs_reload:
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logger.info(
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f"[{self.workspace}] Reloading sanitized data into shared memory for {self.namespace}"
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)
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cleaned_data = load_json(self._file_name)
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if cleaned_data is not None:
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self._data.clear()
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self._data.update(cleaned_data)
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await clear_all_update_flags(self.namespace, workspace=self.workspace)
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async def upsert(self, data: dict[str, dict[str, Any]]) -> None:
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"""Insert/update doc-status records and **persist immediately**.
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Differs from ``JsonKVStorage.upsert`` in that it calls
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``index_done_callback`` synchronously at the end, so changes
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are flushed to disk before this coroutine returns. Rationale:
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doc-status is the recovery anchor for the ingest pipeline — if
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the process crashes after an in-memory upsert but before the
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next batch commit, the doc must still be visible as
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PENDING/PROCESSING on restart.
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Steps:
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1. Pre-process the caller's dict (default ``chunks_list``)
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**outside** the lock — only mutates the caller-supplied
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value dicts, not shared state.
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2. Under ``_storage_lock``, ``self._data.update(data)`` and
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``set_all_update_flags`` to mark every process dirty.
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3. Await ``index_done_callback`` for an immediate flush.
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See ``JsonKVStorage`` class docstring for the shared-memory +
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dirty-flag protocol that underpins step 2.
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"""
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if not data:
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return
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logger.debug(
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f"[{self.workspace}] Inserting {len(data)} records to {self.namespace}"
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)
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if self._storage_lock is None:
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raise StorageNotInitializedError("JsonDocStatusStorage")
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# Prepare data outside the lock: this only mutates the caller-supplied
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# dict values, not shared storage state, so no lock needed here.
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for i, (doc_id, doc_data) in enumerate(data.items(), start=1):
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if "chunks_list" not in doc_data:
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doc_data["chunks_list"] = []
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await _cooperative_yield(i)
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async with self._storage_lock:
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self._data.update(data)
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await set_all_update_flags(self.namespace, workspace=self.workspace)
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await self.index_done_callback()
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async def is_empty(self) -> bool:
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"""Check if the storage is empty
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Returns:
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bool: True if storage is empty, False otherwise
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Raises:
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StorageNotInitializedError: If storage is not initialized
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"""
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if self._storage_lock is None:
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raise StorageNotInitializedError("JsonDocStatusStorage")
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async with self._storage_lock:
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return len(self._data) == 0
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async def get_by_id(self, id: str) -> Union[dict[str, Any], None]:
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async with self._storage_lock:
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return self._data.get(id)
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async def get_docs_paginated(
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self,
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status_filter: DocStatus | None = None,
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status_filters: list[DocStatus] | None = None,
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page: int = 1,
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page_size: int = 50,
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sort_field: str = "updated_at",
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sort_direction: str = "desc",
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) -> tuple[list[tuple[str, DocProcessingStatus]], int]:
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"""Get documents with pagination support
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Args:
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status_filter: Filter by document status, None for all statuses
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page: Page number (1-based)
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page_size: Number of documents per page (10-200)
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sort_field: Field to sort by ('created_at', 'updated_at', 'id')
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sort_direction: Sort direction ('asc' or 'desc')
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Returns:
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Tuple of (list of (doc_id, DocProcessingStatus) tuples, total_count)
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"""
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status_filter_values = self.resolve_status_filter_values(
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status_filter=status_filter,
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status_filters=status_filters,
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)
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# Validate parameters
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if page < 1:
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page = 1
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if page_size < 10:
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page_size = 10
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elif page_size > 200:
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page_size = 200
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if sort_field not in ["created_at", "updated_at", "id", "file_path"]:
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sort_field = "updated_at"
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if sort_direction.lower() not in ["asc", "desc"]:
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sort_direction = "desc"
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# For JSON storage, we load all data and sort/filter in memory
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all_docs = []
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async with self._storage_lock:
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for doc_id, doc_data in self._data.items():
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# Apply status filter
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if (
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status_filter_values is not None
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and doc_data.get("status") not in status_filter_values
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):
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continue
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try:
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# Prepare document data
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data = doc_data.copy()
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data.pop("content", None)
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if not data.get("file_path"):
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data["file_path"] = "no-file-path"
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if "metadata" not in data:
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data["metadata"] = {}
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if "error_msg" not in data:
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data["error_msg"] = None
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doc_status = DocProcessingStatus(**data)
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# Add sort key for sorting
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if sort_field == "id":
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doc_status._sort_key = doc_id
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elif sort_field == "file_path":
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# Use pinyin sorting for file_path field to support Chinese characters
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file_path_value = getattr(doc_status, sort_field, "")
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doc_status._sort_key = get_pinyin_sort_key(file_path_value)
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else:
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doc_status._sort_key = getattr(doc_status, sort_field, "")
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all_docs.append((doc_id, doc_status))
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except KeyError as e:
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logger.error(
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f"[{self.workspace}] Error processing document {doc_id}: {e}"
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)
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continue
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# Sort documents
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reverse_sort = sort_direction.lower() == "desc"
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all_docs.sort(
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key=lambda x: getattr(x[1], "_sort_key", ""), reverse=reverse_sort
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)
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# Remove sort key from documents
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for doc_id, doc in all_docs:
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if hasattr(doc, "_sort_key"):
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delattr(doc, "_sort_key")
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total_count = len(all_docs)
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# Apply pagination
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start_idx = (page - 1) * page_size
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end_idx = start_idx + page_size
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paginated_docs = all_docs[start_idx:end_idx]
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return paginated_docs, total_count
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async def get_all_status_counts(self) -> dict[str, int]:
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"""Get counts of documents in each status for all documents
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Returns:
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Dictionary mapping status names to counts, including 'all' field
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"""
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counts = await self.get_status_counts()
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# Add 'all' field with total count
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total_count = sum(counts.values())
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counts["all"] = total_count
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return counts
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async def delete(self, doc_ids: list[str]) -> None:
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"""Remove doc-status records from shared memory.
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Unlike ``upsert``, ``delete`` does **not** force an immediate
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flush — it follows the standard deferred-commit pattern.
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Persistence happens at the next ``index_done_callback``
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(driven by the pipeline's ``_insert_done()`` at end of batch).
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Only calls ``set_all_update_flags`` if at least one key was
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actually present (avoids creating spurious dirty state for
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no-op deletes).
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Args:
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doc_ids: List of document IDs to be deleted from storage
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"""
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async with self._storage_lock:
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any_deleted = False
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for doc_id in doc_ids:
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result = self._data.pop(doc_id, None)
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if result is not None:
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any_deleted = True
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if any_deleted:
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await set_all_update_flags(self.namespace, workspace=self.workspace)
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async def get_doc_by_file_path(self, file_path: str) -> Union[dict[str, Any], None]:
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"""Get document by file path
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Args:
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file_path: The file path to search for
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Returns:
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Union[dict[str, Any], None]: Document data if found, None otherwise
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Returns the same format as get_by_ids method
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"""
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if self._storage_lock is None:
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raise StorageNotInitializedError("JsonDocStatusStorage")
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async with self._storage_lock:
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for doc_id, doc_data in self._data.items():
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if doc_data.get("file_path") == file_path:
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# Return complete document data, consistent with get_by_ids method
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return doc_data
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return None
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async def get_doc_by_file_basename(
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self, basename: str
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) -> Union[tuple[str, dict[str, Any]], None]:
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"""Find an existing record whose canonical basename matches.
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The caller is responsible for passing an already-canonical basename.
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Stored ``file_path`` values are canonicalized by the business layer, so
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this lookup intentionally performs an exact match only.
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"""
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if not basename:
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return None
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if self._storage_lock is None:
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raise StorageNotInitializedError("JsonDocStatusStorage")
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if basename == "unknown_source":
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return None
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async with self._storage_lock:
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for doc_id, doc_data in self._data.items():
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if doc_data.get("file_path") == basename:
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return doc_id, doc_data
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return None
|
|
|
|
async def get_doc_by_content_hash(
|
|
self, content_hash: str
|
|
) -> Union[tuple[str, dict[str, Any]], None]:
|
|
"""Find an existing record whose content_hash field matches."""
|
|
if not content_hash:
|
|
return None
|
|
if self._storage_lock is None:
|
|
raise StorageNotInitializedError("JsonDocStatusStorage")
|
|
|
|
async with self._storage_lock:
|
|
for doc_id, doc_data in self._data.items():
|
|
if doc_data.get("content_hash") == content_hash:
|
|
return doc_id, doc_data
|
|
return None
|
|
|
|
async def drop(self) -> dict[str, str]:
|
|
"""Clear shared memory and immediately persist the empty state.
|
|
|
|
This method will:
|
|
1. Clear the shared ``self._data`` dict under
|
|
``_storage_lock`` (visible to all processes immediately).
|
|
2. ``set_all_update_flags`` so every process knows there is
|
|
dirty state pending persistence.
|
|
3. Call ``index_done_callback`` synchronously to flush the
|
|
empty state to disk and clear the dirty flags.
|
|
|
|
Caller contract:
|
|
``drop`` is destructive and **not** serialized by this
|
|
storage class. The caller must hold the pipeline ``busy``
|
|
reservation (the ``/documents/clear`` endpoint does this)
|
|
before invoking it. See class docstring,
|
|
*Non-pipeline write paths*.
|
|
|
|
Returns:
|
|
dict[str, str]: Operation status and message
|
|
- On success: {"status": "success", "message": "data dropped"}
|
|
- On failure: {"status": "error", "message": "<error details>"}
|
|
"""
|
|
try:
|
|
async with self._storage_lock:
|
|
self._data.clear()
|
|
await set_all_update_flags(self.namespace, workspace=self.workspace)
|
|
|
|
await self.index_done_callback()
|
|
logger.info(
|
|
f"[{self.workspace}] Process {os.getpid()} drop {self.namespace}"
|
|
)
|
|
return {"status": "success", "message": "data dropped"}
|
|
except Exception as e:
|
|
logger.error(f"[{self.workspace}] Error dropping {self.namespace}: {e}")
|
|
return {"status": "error", "message": str(e)}
|