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Added a few updates to poetry and tested packages

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This commit is contained in:
Vasilije 2023-11-19 12:50:11 +01:00
parent 35195f7f6c
commit 05967fe915
3 changed files with 11 additions and 9 deletions
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6
level_4/cognitive_architecture/classifiers/classifier.py
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@ -66,11 +66,11 @@ async def classify_documents(query:str, document_id:str, loader_settings:dict):
arguments_str = classifier_output.additional_kwargs['function_call']['arguments']
print("This is the arguments string", arguments_str)
arguments_dict = json.loads(arguments_str)
classfier_value = arguments_dict.get('summarizer', None)
# classfier_value = arguments_dict.get('summarizer', None)
print("This is the classifier value", classfier_value)
# print("This is the classifier value", classfier_value)
return classfier_value
return arguments_dict

6
level_4/cognitive_architecture/database/graph_database/graph.py
View file

@ -199,9 +199,9 @@ class Neo4jGraphDB(AbstractGraphDB):
# Create the user and memory components if they don't exist
user_memory_cypher = f"""
MERGE (user:User {{userId: '{user_id}'}})
MERGE (semantic:SemanticMemory {{name: 'SemanticMemory', userId: '{user_id}' }})
MERGE (episodic:EpisodicMemory {{name: 'EpisodicMemory' , userId: '{user_id}'}})
MERGE (buffer:Buffer {{name: 'Buffer' , userId: '{user_id}' }})
MERGE (semantic:SemanticMemory {{description: 'SemanticMemory', userId: '{user_id}' }})
MERGE (episodic:EpisodicMemory {{description: 'EpisodicMemory' , userId: '{user_id}'}})
MERGE (buffer:Buffer {{description: 'Buffer' , userId: '{user_id}' }})
MERGE (user)-[:HAS_SEMANTIC_MEMORY]->(semantic)
MERGE (user)-[:HAS_EPISODIC_MEMORY]->(episodic)
MERGE (user)-[:HAS_BUFFER]->(buffer)

8
level_4/main.py
View file

@ -320,6 +320,8 @@ async def add_documents_to_graph_db(postgres_session: AsyncSession, user_id: str
neo4j_graph_db.update_document_node_with_namespace(user_id, vectordb_namespace=memory_name, document_id=doc_id)
else:
classification = await classify_documents(doc_name, document_id =doc_id, loader_settings=loader_settings)
logging.info("Classification is", str(classification))
neo4j_graph_db = Neo4jGraphDB(url=config.graph_database_url, username=config.graph_database_username,
password=config.graph_database_password)
rs = neo4j_graph_db.create_document_node_cypher(classification, user_id)
@ -471,11 +473,11 @@ async def main():
"path": [".data"],
"strategy": "SUMMARY",
}
await load_documents_to_vectorstore(session, user_id, loader_settings=loader_settings)
await user_query_to_graph_db(session, user_id, "I walked in the forest yesterday and added to my list I need to buy some milk in the store and get a summary from a classical book i read yesterday")
# await load_documents_to_vectorstore(session, user_id, loader_settings=loader_settings)
# await user_query_to_graph_db(session, user_id, "I walked in the forest yesterday and added to my list I need to buy some milk in the store and get a summary from a classical book i read yesterday")
await add_documents_to_graph_db(session, user_id, loader_settings=loader_settings)
ee = await user_context_enrichment(session, user_id, query="Tell me about the book I read yesterday")
# ee = await user_context_enrichment(session, user_id, query="Tell me about the book I read yesterday")
if __name__ == "__main__":