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#
# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import argparse
import json
from api import settings
import networkx as nx
from api.db import LLMType
from api.db.services.document_service import DocumentService
from api.db.services.knowledgebase_service import KnowledgebaseService
from api.db.services.llm_service import LLMBundle
from api.db.services.user_service import TenantService
from graphrag.general.index import Dealer
from graphrag.light.graph_extractor import GraphExtractor
from rag.utils.redis_conn import RedisDistributedLock
settings.init_settings()
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('-t', '--tenant_id', default=False, help="Tenant ID", action='store', required=True)
parser.add_argument('-d', '--doc_id', default=False, help="Document ID", action='store', required=True)
args = parser.parse_args()
e, doc = DocumentService.get_by_id(args.doc_id)
if not e:
raise LookupError("Document not found.")
kb_id = doc.kb_id
chunks = [d["content_with_weight"] for d in
settings.retrievaler.chunk_list(args.doc_id, args.tenant_id, [kb_id], max_count=6,
fields=["content_with_weight"])]
chunks = [("x", c) for c in chunks]
RedisDistributedLock.clean_lock(kb_id)
_, tenant = TenantService.get_by_id(args.tenant_id)
llm_bdl = LLMBundle(args.tenant_id, LLMType.CHAT, tenant.llm_id)
_, kb = KnowledgebaseService.get_by_id(kb_id)
embed_bdl = LLMBundle(args.tenant_id, LLMType.EMBEDDING, kb.embd_id)
dealer = Dealer(GraphExtractor, args.tenant_id, kb_id, llm_bdl, chunks, "English", embed_bdl=embed_bdl)
print(json.dumps(nx.node_link_data(dealer.graph), ensure_ascii=False, indent=2))
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