graphrag/smoke.py

#
# 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 graphrag import leiden
from graphrag.community_reports_extractor import CommunityReportsExtractor
from graphrag.entity_resolution import EntityResolution
from graphrag.graph_extractor import GraphExtractor
from graphrag.leiden import add_community_info2graph

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()

 from api.db import LLMType
 from api.db.services.llm_service import LLMBundle
 from api.settings import retrievaler

 ex = GraphExtractor(LLMBundle(args.tenant_id, LLMType.CHAT))
 docs = [d["content_with_weight"] for d in
 retrievaler.chunk_list(args.doc_id, args.tenant_id, max_count=6, fields=["content_with_weight"])]
 graph = ex(docs)

 er = EntityResolution(LLMBundle(args.tenant_id, LLMType.CHAT))
 graph = er(graph.output)

 comm = leiden.run(graph.output, {})
 add_community_info2graph(graph.output, comm)

 # print(json.dumps(nx.node_link_data(graph.output), ensure_ascii=False,indent=2))
 print(json.dumps(comm, ensure_ascii=False, indent=2))

 cr = CommunityReportsExtractor(LLMBundle(args.tenant_id, LLMType.CHAT))
 cr = cr(graph.output)
 print("------------------ COMMUNITY REPORT ----------------------\n", cr.output)
 print(json.dumps(cr.structured_output, ensure_ascii=False, indent=2))