将flask改成fastapi

2025-10-13 13:18:03 +08:00
commit 88db2539b0
476 changed files with 739741 additions and 0 deletions
--- a/graphrag/light/smoke.py
+++ b/graphrag/light/smoke.py
@@ -0,0 +1,96 @@
+#
+#  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
+import logging
+import trio
+
+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 update_graph
+from graphrag.light.graph_extractor import GraphExtractor
+
+settings.init_settings()
+
+
+def callback(prog=None, msg="Processing..."):
+    logging.info(msg)
+
+
+async def 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"],
+        )
+    ]
+
+    _, 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)
+
+    graph, doc_ids = await update_graph(
+        GraphExtractor,
+        args.tenant_id,
+        kb_id,
+        args.doc_id,
+        chunks,
+        "English",
+        llm_bdl,
+        embed_bdl,
+        callback,
+    )
+
+    print(json.dumps(nx.node_link_data(graph), ensure_ascii=False, indent=2))
+
+
+if __name__ == "__main__":
+    trio.run(main)