Set default value of delete_es_index to False in elasticsearch_ingestion function
This commit is contained in:
acano
parent
5f21544e0b
commit
0421a315eb
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@ -35,7 +35,7 @@ class BrunixEngine(brunix_pb2_grpc.AssistanceEngineServicer):
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index_name=os.getenv("ELASTICSEARCH_INDEX"),
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index_name=os.getenv("ELASTICSEARCH_INDEX"),
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embedding=self.embeddings,
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embedding=self.embeddings,
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query_field="text",
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query_field="text",
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vector_query_field="vector",
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vector_query_field="embedding",
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)
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)
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self.graph = build_graph(
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self.graph = build_graph(
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llm=self.llm,
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llm=self.llm,
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@ -32,12 +32,7 @@
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"\n",
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"\n",
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"from src.utils.llm_factory import create_chat_model\n",
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"from src.utils.llm_factory import create_chat_model\n",
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"from src.utils.emb_factory import create_embedding_model\n",
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"from src.utils.emb_factory import create_embedding_model\n",
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"from src.config import (\n",
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"from src.config import settings"
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" ELASTICSEARCH_LOCAL_URL,\n",
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" ELASTICSEARCH_INDEX,\n",
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" OLLAMA_MODEL_NAME,\n",
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" OLLAMA_EMB_MODEL_NAME\n",
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")"
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]
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]
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},
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},
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{
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{
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@ -51,20 +46,20 @@
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"\n",
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"\n",
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"llm = create_chat_model(\n",
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"llm = create_chat_model(\n",
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" provider=\"ollama\",\n",
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" provider=\"ollama\",\n",
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" model=OLLAMA_MODEL_NAME,\n",
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" model=settings.ollama_model_name,\n",
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" temperature=0.5,\n",
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" temperature=0.5,\n",
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" validate_model_on_init=True,\n",
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" validate_model_on_init=True,\n",
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")\n",
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")\n",
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"embeddings = create_embedding_model(\n",
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"embeddings = create_embedding_model(\n",
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" provider=\"ollama\",\n",
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" provider=\"ollama\",\n",
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" model=OLLAMA_EMB_MODEL_NAME,\n",
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" model=settings.ollama_emb_model_name,\n",
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")\n",
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")\n",
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"vector_store = ElasticsearchStore(\n",
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"vector_store = ElasticsearchStore(\n",
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" es_url=ELASTICSEARCH_LOCAL_URL,\n",
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" es_url=settings.elasticsearch_local_url,\n",
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" index_name=ELASTICSEARCH_INDEX,\n",
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" index_name=\"avap-docs-test-v3\",\n",
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" embedding=embeddings,\n",
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" embedding=embeddings,\n",
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" query_field=\"text\",\n",
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" query_field=\"text\",\n",
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" vector_query_field=\"vector\",\n",
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" vector_query_field=\"embedding\",\n",
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" # strategy=ElasticsearchStore.ApproxRetrievalStrategy(\n",
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" # strategy=ElasticsearchStore.ApproxRetrievalStrategy(\n",
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" # hybrid=True,\n",
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" # hybrid=True,\n",
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" # rrf={\"rank_constant\": 60, \"window_size\": 100}\n",
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" # rrf={\"rank_constant\": 60, \"window_size\": 100}\n",
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@ -464,44 +459,185 @@
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"text": [
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"text": [
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"================================\u001b[1m Human Message \u001b[0m=================================\n",
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"================================\u001b[1m Human Message \u001b[0m=================================\n",
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"\n",
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"\n",
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"What types of includes does AVAP have?\n"
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"What types of includes does AVAP have?\n",
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]
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"[reformulate] 'What types of includes does AVAP have?' → '\"avap includes type\"'\n",
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},
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"================================\u001b[1m Human Message \u001b[0m=================================\n",
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{
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"\n",
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"ename": "ResponseError",
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"What types of includes does AVAP have?\n",
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"evalue": "failed to parse JSON: unexpected end of JSON input (status code: -1)",
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"[retrieve] 3 docs fetched\n",
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"output_type": "error",
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"[1] id=chunk-1 source=Untitled\n",
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"traceback": [
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"\n",
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"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
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"\n",
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"\u001b[31mResponseError\u001b[39m Traceback (most recent call last)",
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"Token:\n",
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"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[18]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m a = \u001b[43mstream_graph_updates\u001b[49m\u001b[43m(\u001b[49m\u001b[43muser_input\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43magentic_graph\u001b[49m\u001b[43m)\u001b[49m\n",
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"\n",
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"\u001b[36mFile \u001b[39m\u001b[32m~/PycharmProjects/assistance-engine/.venv/lib/python3.11/site-packages/langfuse/decorators/langfuse_decorator.py:256\u001b[39m, in \u001b[36mLangfuseDecorator._sync_observe.<locals>.sync_wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m 254\u001b[39m result = func(*args, **kwargs)\n\u001b[32m 255\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[32m--> \u001b[39m\u001b[32m256\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_handle_exception\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobservation\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43me\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 257\u001b[39m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[32m 258\u001b[39m result = \u001b[38;5;28mself\u001b[39m._finalize_call(\n\u001b[32m 259\u001b[39m observation, result, capture_output, transform_to_string\n\u001b[32m 260\u001b[39m )\n",
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"\n",
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"\u001b[36mFile \u001b[39m\u001b[32m~/PycharmProjects/assistance-engine/.venv/lib/python3.11/site-packages/langfuse/decorators/langfuse_decorator.py:520\u001b[39m, in \u001b[36mLangfuseDecorator._handle_exception\u001b[39m\u001b[34m(self, observation, e)\u001b[39m\n\u001b[32m 516\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m observation:\n\u001b[32m 517\u001b[39m _observation_params_context.get()[observation.id].update(\n\u001b[32m 518\u001b[39m level=\u001b[33m\"\u001b[39m\u001b[33mERROR\u001b[39m\u001b[33m\"\u001b[39m, status_message=\u001b[38;5;28mstr\u001b[39m(e)\n\u001b[32m 519\u001b[39m )\n\u001b[32m--> \u001b[39m\u001b[32m520\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m e\n",
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"\n",
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"\u001b[36mFile \u001b[39m\u001b[32m~/PycharmProjects/assistance-engine/.venv/lib/python3.11/site-packages/langfuse/decorators/langfuse_decorator.py:254\u001b[39m, in \u001b[36mLangfuseDecorator._sync_observe.<locals>.sync_wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m 251\u001b[39m result = \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m 253\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m254\u001b[39m result = \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 255\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[32m 256\u001b[39m \u001b[38;5;28mself\u001b[39m._handle_exception(observation, e)\n",
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"ASSIGN\n",
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"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[15]\u001b[39m\u001b[32m, line 9\u001b[39m, in \u001b[36mstream_graph_updates\u001b[39m\u001b[34m(user_input, graph)\u001b[39m\n\u001b[32m 1\u001b[39m \u001b[38;5;129m@observe\u001b[39m(name=\u001b[33m\"\u001b[39m\u001b[33mgraph_run\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m 2\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mstream_graph_updates\u001b[39m(user_input: \u001b[38;5;28mstr\u001b[39m, graph: StateGraph):\n\u001b[32m 3\u001b[39m langfuse_context.update_current_trace(\n\u001b[32m 4\u001b[39m user_id=\u001b[33m\"\u001b[39m\u001b[33malberto\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 5\u001b[39m tags=[\u001b[33m\"\u001b[39m\u001b[33mavap\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mrag\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mlanggraph\u001b[39m\u001b[33m\"\u001b[39m],\n\u001b[32m 6\u001b[39m metadata={\u001b[33m\"\u001b[39m\u001b[33mfeature\u001b[39m\u001b[33m\"\u001b[39m: \u001b[33m\"\u001b[39m\u001b[33magentic-rag\u001b[39m\u001b[33m\"\u001b[39m},\n\u001b[32m 7\u001b[39m )\n\u001b[32m----> \u001b[39m\u001b[32m9\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mevent\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mgraph\u001b[49m\u001b[43m.\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 10\u001b[39m \u001b[43m \u001b[49m\u001b[43m{\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmessages\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[43m{\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mrole\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43muser\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mcontent\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43muser_input\u001b[49m\u001b[43m}\u001b[49m\u001b[43m]\u001b[49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 11\u001b[39m \u001b[43m \u001b[49m\u001b[43mstream_mode\u001b[49m\u001b[43m=\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mvalues\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[32m 12\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 13\u001b[39m \u001b[43m \u001b[49m\u001b[43mevent\u001b[49m\u001b[43m[\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmessages\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m[\u001b[49m\u001b[43m-\u001b[49m\u001b[32;43m1\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m.\u001b[49m\u001b[43mpretty_print\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 15\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m event[\u001b[33m\"\u001b[39m\u001b[33mmessages\u001b[39m\u001b[33m\"\u001b[39m][-\u001b[32m1\u001b[39m]\n",
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"\n",
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"\u001b[36mFile \u001b[39m\u001b[32m~/PycharmProjects/assistance-engine/.venv/lib/python3.11/site-packages/langgraph/pregel/main.py:2646\u001b[39m, in \u001b[36mPregel.stream\u001b[39m\u001b[34m(self, input, config, context, stream_mode, print_mode, output_keys, interrupt_before, interrupt_after, durability, subgraphs, debug, **kwargs)\u001b[39m\n\u001b[32m 2644\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m task \u001b[38;5;129;01min\u001b[39;00m loop.match_cached_writes():\n\u001b[32m 2645\u001b[39m loop.output_writes(task.id, task.writes, cached=\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[32m-> \u001b[39m\u001b[32m2646\u001b[39m \u001b[43m\u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43m_\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mrunner\u001b[49m\u001b[43m.\u001b[49m\u001b[43mtick\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 2647\u001b[39m \u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[43mt\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mt\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mloop\u001b[49m\u001b[43m.\u001b[49m\u001b[43mtasks\u001b[49m\u001b[43m.\u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mt\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwrites\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 2648\u001b[39m \u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mstep_timeout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 2649\u001b[39m \u001b[43m \u001b[49m\u001b[43mget_waiter\u001b[49m\u001b[43m=\u001b[49m\u001b[43mget_waiter\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 2650\u001b[39m \u001b[43m \u001b[49m\u001b[43mschedule_task\u001b[49m\u001b[43m=\u001b[49m\u001b[43mloop\u001b[49m\u001b[43m.\u001b[49m\u001b[43maccept_push\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 2651\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 2652\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;66;43;03m# emit output\u001b[39;49;00m\n\u001b[32m 2653\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01myield from\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43m_output\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 2654\u001b[39m \u001b[43m \u001b[49m\u001b[43mstream_mode\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mprint_mode\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msubgraphs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m.\u001b[49m\u001b[43mget\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mqueue\u001b[49m\u001b[43m.\u001b[49m\u001b[43mEmpty\u001b[49m\n\u001b[32m 2655\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2656\u001b[39m loop.after_tick()\n",
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"\u001b[36mFile \u001b[39m\u001b[32m~/PycharmProjects/assistance-engine/.venv/lib/python3.11/site-packages/langgraph/pregel/_runner.py:167\u001b[39m, in \u001b[36mPregelRunner.tick\u001b[39m\u001b[34m(self, tasks, reraise, timeout, retry_policy, get_waiter, schedule_task)\u001b[39m\n\u001b[32m 165\u001b[39m t = tasks[\u001b[32m0\u001b[39m]\n\u001b[32m 166\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m167\u001b[39m \u001b[43mrun_with_retry\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 168\u001b[39m \u001b[43m \u001b[49m\u001b[43mt\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 169\u001b[39m \u001b[43m \u001b[49m\u001b[43mretry_policy\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 170\u001b[39m \u001b[43m \u001b[49m\u001b[43mconfigurable\u001b[49m\u001b[43m=\u001b[49m\u001b[43m{\u001b[49m\n\u001b[32m 171\u001b[39m \u001b[43m \u001b[49m\u001b[43mCONFIG_KEY_CALL\u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mpartial\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 172\u001b[39m \u001b[43m \u001b[49m\u001b[43m_call\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 173\u001b[39m \u001b[43m \u001b[49m\u001b[43mweakref\u001b[49m\u001b[43m.\u001b[49m\u001b[43mref\u001b[49m\u001b[43m(\u001b[49m\u001b[43mt\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 174\u001b[39m \u001b[43m \u001b[49m\u001b[43mretry_policy\u001b[49m\u001b[43m=\u001b[49m\u001b[43mretry_policy\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 175\u001b[39m \u001b[43m \u001b[49m\u001b[43mfutures\u001b[49m\u001b[43m=\u001b[49m\u001b[43mweakref\u001b[49m\u001b[43m.\u001b[49m\u001b[43mref\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfutures\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 176\u001b[39m \u001b[43m \u001b[49m\u001b[43mschedule_task\u001b[49m\u001b[43m=\u001b[49m\u001b[43mschedule_task\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 177\u001b[39m \u001b[43m \u001b[49m\u001b[43msubmit\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43msubmit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 178\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 179\u001b[39m \u001b[43m \u001b[49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 180\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 181\u001b[39m \u001b[38;5;28mself\u001b[39m.commit(t, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[32m 182\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n",
|
"\n",
|
||||||
"\u001b[36mFile \u001b[39m\u001b[32m~/PycharmProjects/assistance-engine/.venv/lib/python3.11/site-packages/langgraph/pregel/_retry.py:42\u001b[39m, in \u001b[36mrun_with_retry\u001b[39m\u001b[34m(task, retry_policy, configurable)\u001b[39m\n\u001b[32m 40\u001b[39m task.writes.clear()\n\u001b[32m 41\u001b[39m \u001b[38;5;66;03m# run the task\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m42\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mtask\u001b[49m\u001b[43m.\u001b[49m\u001b[43mproc\u001b[49m\u001b[43m.\u001b[49m\u001b[43minvoke\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtask\u001b[49m\u001b[43m.\u001b[49m\u001b[43minput\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 43\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m ParentCommand \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[32m 44\u001b[39m ns: \u001b[38;5;28mstr\u001b[39m = config[CONF][CONFIG_KEY_CHECKPOINT_NS]\n",
|
"\n",
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||||||
"\u001b[36mFile \u001b[39m\u001b[32m~/PycharmProjects/assistance-engine/.venv/lib/python3.11/site-packages/langgraph/_internal/_runnable.py:656\u001b[39m, in \u001b[36mRunnableSeq.invoke\u001b[39m\u001b[34m(self, input, config, **kwargs)\u001b[39m\n\u001b[32m 654\u001b[39m \u001b[38;5;66;03m# run in context\u001b[39;00m\n\u001b[32m 655\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m set_config_context(config, run) \u001b[38;5;28;01mas\u001b[39;00m context:\n\u001b[32m--> \u001b[39m\u001b[32m656\u001b[39m \u001b[38;5;28minput\u001b[39m = \u001b[43mcontext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstep\u001b[49m\u001b[43m.\u001b[49m\u001b[43minvoke\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 657\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 658\u001b[39m \u001b[38;5;28minput\u001b[39m = step.invoke(\u001b[38;5;28minput\u001b[39m, config)\n",
|
"> **Nota de implementación:** `<connector_instantiation>` se distingue de `<orm_connector_init>` (ORM) únicamente por contexto semántico: el UUID pasado como argumento determina si el adaptador resuelto es un ORM de base de datos o un proxy de terceros. La gramática los trata de forma idéntica; el motor de ejecución selecciona el adaptador apropiado en runtime.\n",
|
||||||
"\u001b[36mFile \u001b[39m\u001b[32m~/PycharmProjects/assistance-engine/.venv/lib/python3.11/site-packages/langgraph/_internal/_runnable.py:400\u001b[39m, in \u001b[36mRunnableCallable.invoke\u001b[39m\u001b[34m(self, input, config, **kwargs)\u001b[39m\n\u001b[32m 398\u001b[39m run_manager.on_chain_end(ret)\n\u001b[32m 399\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m400\u001b[39m ret = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 401\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m.recurse \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(ret, Runnable):\n\u001b[32m 402\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m ret.invoke(\u001b[38;5;28minput\u001b[39m, config)\n",
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"\n",
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||||||
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[10]\u001b[39m\u001b[32m, line 5\u001b[39m, in \u001b[36magent\u001b[39m\u001b[34m(state)\u001b[39m\n\u001b[32m 3\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34magent\u001b[39m(state: AgenticAgentState) -> AgenticAgentState:\n\u001b[32m 4\u001b[39m llm_with_tools = llm.bind_tools(tools)\n\u001b[32m----> \u001b[39m\u001b[32m5\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m {\u001b[33m\"\u001b[39m\u001b[33mmessages\u001b[39m\u001b[33m\"\u001b[39m: [\u001b[43mllm_with_tools\u001b[49m\u001b[43m.\u001b[49m\u001b[43minvoke\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[43mSystemMessage\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcontent\u001b[49m\u001b[43m=\u001b[49m\u001b[43mAGENTIC_PROMPT\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcontent\u001b[49m\u001b[43m)\u001b[49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[43m+\u001b[49m\u001b[43m \u001b[49m\u001b[43mstate\u001b[49m\u001b[43m[\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmessages\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m]}\n",
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"---\n",
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||||||
"\u001b[36mFile \u001b[39m\u001b[32m~/PycharmProjects/assistance-engine/.venv/lib/python3.11/site-packages/langchain_core/runnables/base.py:5695\u001b[39m, in \u001b[36mRunnableBindingBase.invoke\u001b[39m\u001b[34m(self, input, config, **kwargs)\u001b[39m\n\u001b[32m 5688\u001b[39m \u001b[38;5;129m@override\u001b[39m\n\u001b[32m 5689\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34minvoke\u001b[39m(\n\u001b[32m 5690\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m (...)\u001b[39m\u001b[32m 5693\u001b[39m **kwargs: Any | \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[32m 5694\u001b[39m ) -> Output:\n\u001b[32m-> \u001b[39m\u001b[32m5695\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mbound\u001b[49m\u001b[43m.\u001b[49m\u001b[43minvoke\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 5696\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[32m 5697\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_merge_configs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 5698\u001b[39m \u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43m{\u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 5699\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n",
|
"\n",
|
||||||
"\u001b[36mFile \u001b[39m\u001b[32m~/PycharmProjects/assistance-engine/.venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py:402\u001b[39m, in \u001b[36mBaseChatModel.invoke\u001b[39m\u001b[34m(self, input, config, stop, **kwargs)\u001b[39m\n\u001b[32m 388\u001b[39m \u001b[38;5;129m@override\u001b[39m\n\u001b[32m 389\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34minvoke\u001b[39m(\n\u001b[32m 390\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m (...)\u001b[39m\u001b[32m 395\u001b[39m **kwargs: Any,\n\u001b[32m 396\u001b[39m ) -> AIMessage:\n\u001b[32m 397\u001b[39m config = ensure_config(config)\n\u001b[32m 398\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m cast(\n\u001b[32m 399\u001b[39m \u001b[33m\"\u001b[39m\u001b[33mAIMessage\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 400\u001b[39m cast(\n\u001b[32m 401\u001b[39m \u001b[33m\"\u001b[39m\u001b[33mChatGeneration\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m--> \u001b[39m\u001b[32m402\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mgenerate_prompt\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 403\u001b[39m \u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_convert_input\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 404\u001b[39m \u001b[43m \u001b[49m\u001b[43mstop\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 405\u001b[39m \u001b[43m \u001b[49m\u001b[43mcallbacks\u001b[49m\u001b[43m=\u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m.\u001b[49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mcallbacks\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 406\u001b[39m \u001b[43m \u001b[49m\u001b[43mtags\u001b[49m\u001b[43m=\u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m.\u001b[49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mtags\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 407\u001b[39m \u001b[43m \u001b[49m\u001b[43mmetadata\u001b[49m\u001b[43m=\u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m.\u001b[49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmetadata\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 408\u001b[39m \u001b[43m \u001b[49m\u001b[43mrun_name\u001b[49m\u001b[43m=\u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m.\u001b[49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mrun_name\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 409\u001b[39m \u001b[43m \u001b[49m\u001b[43mrun_id\u001b[49m\u001b[43m=\u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m.\u001b[49m\u001b[43mpop\u001b[49m\u001b[43m(\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mrun_id\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 410\u001b[39m \u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 411\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m.generations[\u001b[32m0\u001b[39m][\u001b[32m0\u001b[39m],\n\u001b[32m 412\u001b[39m ).message,\n\u001b[32m 413\u001b[39m )\n",
|
"## SECCIÓN VI: Utilidades, Criptografía y Manipulación de Datos\n",
|
||||||
"\u001b[36mFile \u001b[39m\u001b[32m~/PycharmProjects/assistance-engine/.venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py:1123\u001b[39m, in \u001b[36mBaseChatModel.generate_prompt\u001b[39m\u001b[34m(self, prompts, stop, callbacks, **kwargs)\u001b[39m\n\u001b[32m 1114\u001b[39m \u001b[38;5;129m@override\u001b[39m\n\u001b[32m 1115\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mgenerate_prompt\u001b[39m(\n\u001b[32m 1116\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m (...)\u001b[39m\u001b[32m 1120\u001b[39m **kwargs: Any,\n\u001b[32m 1121\u001b[39m ) -> LLMResult:\n\u001b[32m 1122\u001b[39m prompt_messages = [p.to_messages() \u001b[38;5;28;01mfor\u001b[39;00m p \u001b[38;5;129;01min\u001b[39;00m prompts]\n\u001b[32m-> \u001b[39m\u001b[32m1123\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mgenerate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprompt_messages\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstop\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcallbacks\u001b[49m\u001b[43m=\u001b[49m\u001b[43mcallbacks\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
|
"\n",
|
||||||
"\u001b[36mFile \u001b[39m\u001b[32m~/PycharmProjects/assistance-engine/.venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py:933\u001b[39m, in \u001b[36mBaseChatModel.generate\u001b[39m\u001b[34m(self, messages, stop, callbacks, tags, metadata, run_name, run_id, **kwargs)\u001b[39m\n\u001b[32m 930\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m i, m \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(input_messages):\n\u001b[32m 931\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m 932\u001b[39m results.append(\n\u001b[32m--> \u001b[39m\u001b[32m933\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_generate_with_cache\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 934\u001b[39m \u001b[43m \u001b[49m\u001b[43mm\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 935\u001b[39m \u001b[43m \u001b[49m\u001b[43mstop\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 936\u001b[39m \u001b[43m \u001b[49m\u001b[43mrun_manager\u001b[49m\u001b[43m=\u001b[49m\u001b[43mrun_managers\u001b[49m\u001b[43m[\u001b[49m\u001b[43mi\u001b[49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mrun_managers\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[32m 937\u001b[39m \u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 938\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 939\u001b[39m )\n\u001b[32m 940\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mBaseException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[32m 941\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m run_managers:\n",
|
"AVAP incluye un set de comandos integrados de alto nivel para manipular tipos complejos (JSON y Listas), tiempos, textos y generar hashes.\n",
|
||||||
"\u001b[36mFile \u001b[39m\u001b[32m~/PycharmProjects/assistance-engine/.venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py:1235\u001b[39m, in \u001b[36mBaseChatModel._generate_with_cache\u001b[39m\u001b[34m(self, messages, stop, run_manager, **kwargs)\u001b[39m\n\u001b[32m 1233\u001b[39m result = generate_from_stream(\u001b[38;5;28miter\u001b[39m(chunks))\n\u001b[32m 1234\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m inspect.signature(\u001b[38;5;28mself\u001b[39m._generate).parameters.get(\u001b[33m\"\u001b[39m\u001b[33mrun_manager\u001b[39m\u001b[33m\"\u001b[39m):\n\u001b[32m-> \u001b[39m\u001b[32m1235\u001b[39m result = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_generate\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1236\u001b[39m \u001b[43m \u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstop\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrun_manager\u001b[49m\u001b[43m=\u001b[49m\u001b[43mrun_manager\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\n\u001b[32m 1237\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1238\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 1239\u001b[39m result = \u001b[38;5;28mself\u001b[39m._generate(messages, stop=stop, **kwargs)\n",
|
"\n",
|
||||||
"\u001b[36mFile \u001b[39m\u001b[32m~/PycharmProjects/assistance-engine/.venv/lib/python3.11/site-packages/langchain_ollama/chat_models.py:1030\u001b[39m, in \u001b[36mChatOllama._generate\u001b[39m\u001b[34m(self, messages, stop, run_manager, **kwargs)\u001b[39m\n\u001b[32m 1023\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m_generate\u001b[39m(\n\u001b[32m 1024\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m 1025\u001b[39m messages: \u001b[38;5;28mlist\u001b[39m[BaseMessage],\n\u001b[32m (...)\u001b[39m\u001b[32m 1028\u001b[39m **kwargs: Any,\n\u001b[32m 1029\u001b[39m ) -> ChatResult:\n\u001b[32m-> \u001b[39m\u001b[32m1030\u001b[39m final_chunk = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_chat_stream_with_aggregation\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1031\u001b[39m \u001b[43m \u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrun_manager\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mverbose\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mverbose\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\n\u001b[32m 1032\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1033\u001b[39m generation_info = final_chunk.generation_info\n\u001b[32m 1034\u001b[39m chat_generation = ChatGeneration(\n\u001b[32m 1035\u001b[39m message=AIMessage(\n\u001b[32m 1036\u001b[39m content=final_chunk.text,\n\u001b[32m (...)\u001b[39m\u001b[32m 1043\u001b[39m generation_info=generation_info,\n\u001b[32m 1044\u001b[39m )\n",
|
"### 6.1 Manipulación Nativa de Listas y Objetos JSON\n",
|
||||||
"\u001b[36mFile \u001b[39m\u001b[32m~/PycharmProjects/assistance-engine/.venv/lib/python3.11/site-packages/langchain_ollama/chat_models.py:965\u001b[39m, in \u001b[36mChatOllama._chat_stream_with_aggregation\u001b[39m\u001b[34m(self, messages, stop, run_manager, verbose, **kwargs)\u001b[39m\n\u001b[32m 956\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m_chat_stream_with_aggregation\u001b[39m(\n\u001b[32m 957\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m 958\u001b[39m messages: \u001b[38;5;28mlist\u001b[39m[BaseMessage],\n\u001b[32m (...)\u001b[39m\u001b[32m 962\u001b[39m **kwargs: Any,\n\u001b[32m 963\u001b[39m ) -> ChatGenerationChunk:\n\u001b[32m 964\u001b[39m final_chunk = \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m965\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mchunk\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_iterate_over_stream\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 966\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mfinal_chunk\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mis\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m:\u001b[49m\n\u001b[32m 967\u001b[39m \u001b[43m \u001b[49m\u001b[43mfinal_chunk\u001b[49m\u001b[43m \u001b[49m\u001b[43m=\u001b[49m\u001b[43m \u001b[49m\u001b[43mchunk\u001b[49m\n",
|
"Para extraer y mutar estructuras complejas, AVAP provee comandos nativos específicos:\n",
|
||||||
"\u001b[36mFile \u001b[39m\u001b[32m~/PycharmProjects/assistance-engine/.venv/lib/python3.11/site-packages/langchain_ollama/chat_models.py:1054\u001b[39m, in \u001b[36mChatOllama._iterate_over_stream\u001b[39m\u001b[34m(self, messages, stop, **kwargs)\u001b[39m\n\u001b[32m 1047\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m_iterate_over_stream\u001b[39m(\n\u001b[32m 1048\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m 1049\u001b[39m messages: \u001b[38;5;28mlist\u001b[39m[BaseMessage],\n\u001b[32m 1050\u001b[39m stop: \u001b[38;5;28mlist\u001b[39m[\u001b[38;5;28mstr\u001b[39m] | \u001b[38;5;28;01mNone\u001b[39;00m = \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[32m 1051\u001b[39m **kwargs: Any,\n\u001b[32m 1052\u001b[39m ) -> Iterator[ChatGenerationChunk]:\n\u001b[32m 1053\u001b[39m reasoning = kwargs.get(\u001b[33m\"\u001b[39m\u001b[33mreasoning\u001b[39m\u001b[33m\"\u001b[39m, \u001b[38;5;28mself\u001b[39m.reasoning)\n\u001b[32m-> \u001b[39m\u001b[32m1054\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mstream_resp\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_create_chat_stream\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 1055\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43misinstance\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mstream_resp\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mstr\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 1056\u001b[39m \u001b[43m \u001b[49m\u001b[43mcontent\u001b[49m\u001b[43m \u001b[49m\u001b[43m=\u001b[49m\u001b[43m \u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1057\u001b[39m \u001b[43m \u001b[49m\u001b[43mstream_resp\u001b[49m\u001b[43m[\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmessage\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m[\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mcontent\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\n\u001b[32m 1058\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmessage\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mstream_resp\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mand\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mcontent\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mstream_resp\u001b[49m\u001b[43m[\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmessage\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\n\u001b[32m 1059\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\n\u001b[32m 1060\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n",
|
"* **`variableToList(elemento, destino)`**: Fuerza a que una variable escalar se convierta en una estructura iterable de lista.\n",
|
||||||
"\u001b[36mFile \u001b[39m\u001b[32m~/PycharmProjects/assistance-engine/.venv/lib/python3.11/site-packages/langchain_ollama/chat_models.py:952\u001b[39m, in \u001b[36mChatOllama._create_chat_stream\u001b[39m\u001b[34m(self, messages, stop, **kwargs)\u001b[39m\n\u001b[32m 950\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m chat_params[\u001b[33m\"\u001b[39m\u001b[33mstream\u001b[39m\u001b[33m\"\u001b[39m]:\n\u001b[32m 951\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m._client:\n\u001b[32m--> \u001b[39m\u001b[32m952\u001b[39m \u001b[38;5;28;01myield from\u001b[39;00m \u001b[38;5;28mself\u001b[39m._client.chat(**chat_params)\n\u001b[32m 953\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m._client:\n\u001b[32m 954\u001b[39m \u001b[38;5;28;01myield\u001b[39;00m \u001b[38;5;28mself\u001b[39m._client.chat(**chat_params)\n",
|
"* **`itemFromList(lista_origen, indice, destino)`**: Extrae de forma segura el elemento contenido en la posición `indice` de una lista.\n",
|
||||||
"\u001b[36mFile \u001b[39m\u001b[32m~/PycharmProjects/assistance-engine/.venv/lib/python3.11/site-packages/ollama/_client.py:184\u001b[39m, in \u001b[36mClient._request.<locals>.inner\u001b[39m\u001b[34m()\u001b[39m\n\u001b[32m 182\u001b[39m part = json.loads(line)\n\u001b[32m 183\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m err := part.get(\u001b[33m'\u001b[39m\u001b[33merror\u001b[39m\u001b[33m'\u001b[39m):\n\u001b[32m--> \u001b[39m\u001b[32m184\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m ResponseError(err)\n\u001b[32m 185\u001b[39m \u001b[38;5;28;01myield\u001b[39;00m \u001b[38;5;28mcls\u001b[39m(**part)\n",
|
"* **`variableFromJSON(json_origen, clave, destino)`**: Parsea un objeto JSON en memoria y extrae el valor correspondiente a la `clave`.\n",
|
||||||
"\u001b[31mResponseError\u001b[39m: failed to parse JSON: unexpected end of JSON input (status code: -1)",
|
"* **`AddVariableToJSON(clave, valor, json_destino)`**: Inyecta dinámicamente una nueva propiedad dentro de un objeto JSON existente.\n",
|
||||||
"During task with name 'agent' and id '9110cf29-5205-b67b-0456-234df433158a'"
|
"\n",
|
||||||
|
"### 6.2 Criptografía y Expresiones Regulares\n",
|
||||||
|
"* **`encodeSHA256` y `encodeMD5(origen, destino)`**: Funciones criptográficas que encriptan de forma irreversible un texto. Vitales para el almacenamiento seguro de contraseñas.\n",
|
||||||
|
"* **`getRegex(origen, patron, destino)`**: Aplica una Expresión Regular (`patron`) sobre la variable de origen, extrayendo las coincidencias exactas.\n",
|
||||||
|
"\n",
|
||||||
|
"### 6.3 Transformación de Tiempo y Cadenas\n",
|
||||||
|
"* **Fechas:** `getTimeStamp` (convierte un string a Epoch), `getDateTime` (Epoch a string legible), y `stampToDatetime` (Epoch a objeto datetime estructurado). Soportan formatos de calendario y cálculos con TimeDeltas.\n",
|
||||||
|
"* **Cadenas:** `replace` (saneamiento y sustitución de texto) y `randomString` (generación determinista de claves/tokens aleatorios).\n",
|
||||||
|
"\n",
|
||||||
|
"### Especificación BNF (Sección VI)\n",
|
||||||
|
"\n",
|
||||||
|
"\n",
|
||||||
|
"\n",
|
||||||
|
"/* [CORRECCIÓN] Todas las subreglas de <util_command> están ahora completamente expandidas. */\n",
|
||||||
|
"<util_command> ::= <json_list_cmd> | <crypto_cmd> | <regex_cmd> | <datetime_cmd> | <stamp_cmd> | <string_cmd> | <replace_cmd>\n",
|
||||||
|
"\n",
|
||||||
|
"/* Manipulación de listas y JSON */\n",
|
||||||
|
"<json_list_cmd> ::= \"variableToList(\" <expression> \",\" <identifier> \")\"\n",
|
||||||
|
" | \"itemFromList(\" <identifier> \",\" <expression> \",\" <identifier> \")\"\n",
|
||||||
|
" | \"variableFromJSON(\" <identifier> \",\" <expression> \",\" <identifier> \")\"\n",
|
||||||
|
" | \"AddVariableToJSON(\" <expression> \",\" <expression> \",\" <identifier> \")\"\n",
|
||||||
|
"\n",
|
||||||
|
"/* Criptografía */\n",
|
||||||
|
"<crypto_cmd> ::= \"encodeSHA256(\" <identifier_or_string> \",\" <identifier> \")\"\n",
|
||||||
|
" | \"encodeMD5(\" <identifier_or_string> \",\" <identifier> \")\"\n",
|
||||||
|
"\n",
|
||||||
|
"/* Expresiones regulares */\n",
|
||||||
|
"<regex_cmd> ::= \"getRegex(\" <identifier> \",\" <stringliteral> \",\" <identifier> \")\"\n",
|
||||||
|
"\n",
|
||||||
|
"<datetime_cmd> ::= \"getDateTime(\" <stringliteral> \",\" <expression> \",\" <stringliteral> \",\" <identifier> \")\"\n",
|
||||||
|
"/* Argumentos: formato_salida, epoch_origen, zona_horaria, destino */\n",
|
||||||
|
"\n",
|
||||||
|
"<stamp_cmd> ::= \"stampToDatetime(\" <expression> \",\" <stringliteral> \",\" <expression> \",\" <identifier> \")\"\n",
|
||||||
|
"/* Argumentos: epoch_origen, formato, timedelta, destino */\n",
|
||||||
|
" | \"getTimeStamp(\" <stringliteral> \",\" <stringliteral> \",\" <expression> \",\" <identifier> \")\"\n",
|
||||||
|
"/* Argumentos: fecha_string, formato_entrada, timedelta, destino */\n",
|
||||||
|
"\n",
|
||||||
|
"<string_cmd> ::= \"randomString(\" <expression> \",\" <identifier> \")\"\n",
|
||||||
|
"/* Argumentos: longitud, destino */\n",
|
||||||
|
"\n",
|
||||||
|
"<replace_cmd> ::= \"replace(\" <identifier_or_string> \",\" <stringliteral> \",\" <stringliteral> \",\" <identifier> \")\"\n",
|
||||||
|
"/* Argumentos: origen, patron_busqueda, reemplazo, destino */\n",
|
||||||
|
"\n",
|
||||||
|
"[3] id=chunk-3 source=Untitled\n",
|
||||||
|
"\n",
|
||||||
|
"\n",
|
||||||
|
"---\n",
|
||||||
|
"\n",
|
||||||
|
"## SECCIÓN IX: Expresiones y Gramática Léxica Estricta\n",
|
||||||
|
"\n",
|
||||||
|
"Esta sección es el corazón matemático evaluador de AVAP. Define la jerarquía exacta (Precedencia) y provee soporte nativo para características avanzadas similares a Python.\n",
|
||||||
|
"\n",
|
||||||
|
"### 9.1 Cast de Tipos Explícito\n",
|
||||||
|
"AVAP permite conversiones de tipos (Type Casting) en cualquier evaluación utilizando funciones constructoras estándar. Puedes transformar variables dinámicamente usando `int(var)`, `float(var)` o `str(var)`.\n",
|
||||||
|
"\n",
|
||||||
|
"### 9.2 Slicing y Comprensiones (Comprehensions)\n",
|
||||||
|
"* **Slicing (Cortes):** Puedes extraer fragmentos de listas o strings utilizando la notación de dos puntos. Ejemplo: `mi_lista[1:4]` (extrae desde el índice 1 hasta el 3).\n",
|
||||||
|
"* **Comprehensions:** AVAP soporta la construcción rápida de listas mediante iteradores en una sola línea, permitiendo filtrar y mapear colecciones enteras (ej. `[x * 2 for x in valores if x > 0]`).\n",
|
||||||
|
"\n",
|
||||||
|
"### 9.3 Análisis Léxico (Lexer) y Documentación\n",
|
||||||
|
"AVAP cuenta con tres niveles de descarte de texto para anotaciones humanas:\n",
|
||||||
|
"1. **Comentarios de Línea (`//`):** Ignora el texto hasta el salto de línea.\n",
|
||||||
|
"2. **Comentarios de Bloque (`/* ... */`):** Para aislar bloques enteros multilínea.\n",
|
||||||
|
"3. **Comentarios de Documentación (`///`):** Utilizados por analizadores de código o IDEs para generar documentación técnica automática (Docstrings) a partir del código fuente.\n",
|
||||||
|
"\n",
|
||||||
|
"### Especificación BNF (Sección IX)\n",
|
||||||
|
"\n",
|
||||||
|
"\n",
|
||||||
|
"\n",
|
||||||
|
"/* Jerarquía de Expresiones (Precedencia de menor a mayor) */\n",
|
||||||
|
"<expression> ::= <logical_or>\n",
|
||||||
|
"<logical_or> ::= <logical_and> ( \"or\" <logical_and> )*\n",
|
||||||
|
"<logical_and> ::= <logical_not> ( \"and\" <logical_not> )*\n",
|
||||||
|
"<logical_not> ::= \"not\" <logical_not> | <comparison>\n",
|
||||||
|
"\n",
|
||||||
|
"<comparison> ::= <arithmetic> ( <comp_op> <arithmetic> )*\n",
|
||||||
|
"<comp_op> ::= \"==\" | \"!=\" | \"<\" | \">\" | \"<=\" | \">=\" | \"in\" | \"is\"\n",
|
||||||
|
"\n",
|
||||||
|
"<arithmetic> ::= <term> ( ( \"+\" | \"-\" ) <term> )*\n",
|
||||||
|
"<term> ::= <factor> ( ( \"*\" | \"/\" | \"%\" ) <factor> )*\n",
|
||||||
|
"<factor> ::= ( \"+\" | \"-\" ) <factor> | <power>\n",
|
||||||
|
"<power> ::= <primary> [ \"**\" <factor> ]\n",
|
||||||
|
"\n",
|
||||||
|
"/* Primarios y Átomos (Accesos, Castings, Slicing, Métodos y Funciones)\n",
|
||||||
|
" La regla <primary> cubre también el acceso a métodos de objetos conector\n",
|
||||||
|
" (conector.metodo(...)) y el acceso por clave a sus resultados (resultado[\"key\"]) */\n",
|
||||||
|
"<primary> ::= <atom>\n",
|
||||||
|
" | <primary> \".\" <identifier>\n",
|
||||||
|
" | <primary> \"[\" <expression> \"]\"\n",
|
||||||
|
" | <primary> \"[\" [<expression>] \":\" [<expression>] [\":\" [<expression>]] \"]\"\n",
|
||||||
|
" | <primary> \"(\" [<argument_list>] \")\"\n",
|
||||||
|
"\n",
|
||||||
|
"<atom> ::= <identifier>\n",
|
||||||
|
" | \"$\" <identifier>\n",
|
||||||
|
" | <literal>\n",
|
||||||
|
" | \"(\" <expression> \")\"\n",
|
||||||
|
" | <list_display>\n",
|
||||||
|
" | <dict_display>\n",
|
||||||
|
"\n",
|
||||||
|
"/* Estructuras de Datos, Comprensiones y Argumentos */\n",
|
||||||
|
"<list_display> ::= \"[\" [<argument_list>] \"]\"\n",
|
||||||
|
" | \"[\" <expression> \"for\" <identifier> \"in\" <expression> [<if_clause>] \"]\"\n",
|
||||||
|
"<if_clause> ::= \"if\" <expression>\n",
|
||||||
|
"<dict_display> ::= \"{\" [<key_datum_list>] \"}\"\n",
|
||||||
|
"<key_datum_list> ::= <key_datum> ( \",\" <key_datum> )*\n",
|
||||||
|
"<key_datum> ::= <expression> \":\" <expression>\n",
|
||||||
|
"<argument_list> ::= <expression> ( \",\" <expression> )*\n",
|
||||||
|
"\n",
|
||||||
|
"/* Tipo numérico unificado */\n",
|
||||||
|
"<number> ::= <floatnumber> | <integer>\n",
|
||||||
|
"\n",
|
||||||
|
"/* Literales (Tipos de Datos Primitivos Soportados) */\n",
|
||||||
|
"<literal> ::= <stringliteral> | <number> | <boolean> | \"None\"\n",
|
||||||
|
"<boolean> ::= \"True\" | \"False\"\n",
|
||||||
|
"<integer> ::= [0-9]+\n",
|
||||||
|
"<floatnumber> ::= [0-9]+ \".\" [0-9]* | \".\" [0-9]+\n",
|
||||||
|
"\n",
|
||||||
|
"/* Cadenas de Texto con soporte de secuencias de escape */\n",
|
||||||
|
"<stringliteral> ::= \"\\\"\" <text_double> \"\\\"\" | \"'\" <text_single> \"'\"\n",
|
||||||
|
"<escape_sequence> ::= \"\\\\\" ( \"\\\"\" | \"'\" | \"\\\\\" | \"n\" | \"t\" | \"r\" | \"0\" )\n",
|
||||||
|
"<text_double> ::= ( [^\"\\\\] | <escape_sequence> )*\n",
|
||||||
|
"<text_single> ::= ( [^'\\\\] | <escape_sequence> )*\n",
|
||||||
|
"<identifier_or_string> ::= <identifier> | <stringliteral>\n",
|
||||||
|
"\n",
|
||||||
|
"/* Reglas de Comentarios para el Lexer\n",
|
||||||
|
" El lexer aplica longest-match: /// debe evaluarse ANTES que // */\n",
|
||||||
|
"<doc_comment> ::= \"///\" <any_text>\n",
|
||||||
|
"<line_comment> ::= \"//\" <any_text>\n",
|
||||||
|
"<block_comment> ::= \"/*\" <any_content> \"*/\"\n",
|
||||||
|
"<any_text> ::= [^\\r\\n]*\n",
|
||||||
|
"<any_content> ::= /* Cualquier secuencia de caracteres que no contenga la subcadena \"*/\" */\n",
|
||||||
|
"================================\u001b[1m Human Message \u001b[0m=================================\n",
|
||||||
|
"\n",
|
||||||
|
"What types of includes does AVAP have?\n",
|
||||||
|
"==================================\u001b[1m Ai Message \u001b[0m==================================\n",
|
||||||
|
"\n",
|
||||||
|
"AVAP has two main types of include:\n",
|
||||||
|
"\n",
|
||||||
|
"1. **<connector_instantiation>:** This is used to instantiate a connector, which could be for a database connection or a third-party API.\n",
|
||||||
|
"2. **<orm_connector_init>:** This term seems to be related to initializing an Object-Relational Mapping (ORM) connector, indicating that the context suggests it's part of a specific ORM setup.\n",
|
||||||
|
"\n",
|
||||||
|
"Both types are treated similarly in terms of grammar but differ semantically by their purpose - one is for database connections or third-party APIs, while the other is specifically for connecting to ORMs. The engine selects the appropriate adapter based on runtime context.\n"
|
||||||
]
|
]
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"source": [
|
"source": [
|
||||||
"a = stream_graph_updates(user_input, agentic_graph)"
|
"a = stream_graph_updates(user_input, guided_graph)"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
|
|
|
||||||
|
|
@ -18,7 +18,7 @@ def elasticsearch_ingestion(
|
||||||
es_request_timeout: int = 120,
|
es_request_timeout: int = 120,
|
||||||
es_max_retries: int = 5,
|
es_max_retries: int = 5,
|
||||||
es_retry_on_timeout: bool = True,
|
es_retry_on_timeout: bool = True,
|
||||||
delete_es_index: bool = True
|
delete_es_index: bool = False
|
||||||
):
|
):
|
||||||
logger.info("Starting Elasticsearch ingestion pipeline...")
|
logger.info("Starting Elasticsearch ingestion pipeline...")
|
||||||
logger.info(f"Fetching files from {docs_folder_path}...")
|
logger.info(f"Fetching files from {docs_folder_path}...")
|
||||||
|
|
|
||||||
Loading…
Reference in New Issue