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6ec6ca6971
### What problem does this PR solve? Refactor graphrag to remove redis lock ### Type of change - [x] Refactoring
97 lines
2.5 KiB
Python
97 lines
2.5 KiB
Python
#
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# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import argparse
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import json
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from api import settings
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import networkx as nx
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import logging
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import trio
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from api.db import LLMType
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from api.db.services.document_service import DocumentService
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from api.db.services.knowledgebase_service import KnowledgebaseService
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from api.db.services.llm_service import LLMBundle
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from api.db.services.user_service import TenantService
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from graphrag.general.index import update_graph
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from graphrag.light.graph_extractor import GraphExtractor
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settings.init_settings()
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def callback(prog=None, msg="Processing..."):
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logging.info(msg)
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async def main():
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"-t",
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"--tenant_id",
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default=False,
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help="Tenant ID",
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action="store",
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required=True,
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)
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parser.add_argument(
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"-d",
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"--doc_id",
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default=False,
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help="Document ID",
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action="store",
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required=True,
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)
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args = parser.parse_args()
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e, doc = DocumentService.get_by_id(args.doc_id)
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if not e:
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raise LookupError("Document not found.")
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kb_id = doc.kb_id
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chunks = [
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d["content_with_weight"]
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for d in settings.retrievaler.chunk_list(
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args.doc_id,
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args.tenant_id,
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[kb_id],
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max_count=6,
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fields=["content_with_weight"],
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)
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]
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_, tenant = TenantService.get_by_id(args.tenant_id)
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llm_bdl = LLMBundle(args.tenant_id, LLMType.CHAT, tenant.llm_id)
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_, kb = KnowledgebaseService.get_by_id(kb_id)
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embed_bdl = LLMBundle(args.tenant_id, LLMType.EMBEDDING, kb.embd_id)
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graph, doc_ids = await update_graph(
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GraphExtractor,
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args.tenant_id,
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kb_id,
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args.doc_id,
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chunks,
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"English",
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llm_bdl,
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embed_bdl,
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callback,
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)
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print(json.dumps(nx.node_link_data(graph), ensure_ascii=False, indent=2))
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if __name__ == "__main__":
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trio.run(main)
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