Files
opendan/src/knowledge/store.py
T
2023-10-19 10:47:34 +08:00

105 lines
4.2 KiB
Python

import os
from .object import ObjectStore, ObjectRelationStore, ObjectID, ObjectType, KnowledgeObject, DocumentObject, ImageObject, VideoObject, RichTextObject, EmailObject
from core_object import DocumentObject, ImageObject, VideoObject, RichTextObject, EmailObject
from .data import ChunkStore, ChunkTracker, ChunkListWriter, ChunkReader
import json
import logging
# KnowledgeStore class, which aggregates ChunkStore, ChunkTracker, and ObjectStore, and is a global singleton that makes it easy to use these three built-in store examples
class KnowledgeStore:
_instance = None
def __new__(cls):
if cls._instance is None:
cls._instance = super().__new__(cls)
import aios_kernel
knowledge_dir = aios_kernel.storage.AIStorage().get_myai_dir() / "knowledge" / "objects"
if not os.path.exists(knowledge_dir):
os.makedirs(knowledge_dir)
cls._instance.__singleton_init__(knowledge_dir)
return cls._instance
def __singleton_init__(self, root_dir: str):
logging.info(f"will init knowledge store, root_dir={root_dir}")
self.root = root_dir
relation_store_dir = os.path.join(root_dir, "relation")
self.relation_store = ObjectRelationStore(relation_store_dir)
object_store_dir = os.path.join(root_dir, "object")
self.object_store = ObjectStore(object_store_dir)
chunk_store_dir = os.path.join(root_dir, "chunk")
self.chunk_store = ChunkStore(chunk_store_dir)
self.chunk_tracker = ChunkTracker(chunk_store_dir)
self.chunk_list_writer = ChunkListWriter(self.chunk_store, self.chunk_tracker)
self.chunk_reader = ChunkReader(self.chunk_store, self.chunk_tracker)
def get_relation_store(self) -> ObjectRelationStore:
return self.relation_store
def get_object_store(self) -> ObjectStore:
return self.object_store
def get_chunk_store(self) -> ChunkStore:
return self.chunk_store
def get_chunk_tracker(self) -> ChunkTracker:
return self.chunk_tracker
def get_chunk_list_writer(self) -> ChunkListWriter:
return self.chunk_list_writer
def get_chunk_reader(self) -> ChunkReader:
return self.chunk_reader
async def insert_object(self, object: KnowledgeObject):
self.object_store.put_object(object.calculate_id(), object.encode())
def load_object(self, object_id: ObjectID) -> KnowledgeObject:
if object_id.get_object_type() == ObjectType.Document:
return DocumentObject.decode(self.store.get_object_store().get_object(object_id))
if object_id.get_object_type() == ObjectType.Image:
return ImageObject.decode(self.store.get_object_store().get_object(object_id))
if object_id.get_object_type() == ObjectType.Video:
return VideoObject.decode(self.store.get_object_store().get_object(object_id))
if object_id.get_object_type() == ObjectType.RichText:
return RichTextObject.decode(self.store.get_object_store().get_object(object_id))
if object_id.get_object_type() == ObjectType.Email:
return EmailObject.decode(self.store.get_object_store().get_object(object_id))
else:
pass
def parse_object_in_message(self, message: str) -> KnowledgeObject:
# get message's first line
logging.info(f"tg parse resp message: {message}")
lines = message.split("\n")
if len(lines) > 0:
message = lines[0]
try:
desc = json.loads(message)
if isinstance(desc, dict):
object_id = desc["id"]
else:
object_id = desc[0]["id"]
except Exception as e:
return None
if object_id is not None:
return self.load_object(ObjectID.from_base58(object_id))
def bytes_from_object(self, object: KnowledgeObject) -> bytes:
if object.get_object_type() == ObjectType.Image:
image_object = object
return self.get_chunk_reader().read_chunk_list_to_single_bytes(image_object.get_chunk_list())