diff --git a/level_4/cognitive_architecture/database/graph_database/graph.py b/level_4/cognitive_architecture/database/graph_database/graph.py index fab12c690..99226d486 100644 --- a/level_4/cognitive_architecture/database/graph_database/graph.py +++ b/level_4/cognitive_architecture/database/graph_database/graph.py @@ -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 {{userId: '{user_id}', name: 'SemanticMemory}}') + MERGE (semantic:SemanticMemory {{userId: '{user_id}', name: 'SemanticMemory' }}) MERGE (episodic:EpisodicMemory {{userId: '{user_id}', name: 'EpisodicMemory'}}) - MERGE (buffer:Buffer {{userId: '{user_id}', name: 'Buffer}}) + MERGE (buffer:Buffer {{userId: '{user_id}', name: 'Buffer' }}) MERGE (user)-[:HAS_SEMANTIC_MEMORY]->(semantic) MERGE (user)-[:HAS_EPISODIC_MEMORY]->(episodic) MERGE (user)-[:HAS_BUFFER]->(buffer) diff --git a/level_4/main.py b/level_4/main.py index 6bfcad84f..3a9c2bc94 100644 --- a/level_4/main.py +++ b/level_4/main.py @@ -19,7 +19,7 @@ from cognitive_architecture.database.postgres.database_crud import session_scope from cognitive_architecture.database.postgres.models.metadatas import MetaDatas from cognitive_architecture.database.postgres.models.docs import DocsModel from cognitive_architecture.database.postgres.models.memory import MemoryModel -from level_4.cognitive_architecture.database.postgres.models.user import User +from cognitive_architecture.database.postgres.models.user import User from cognitive_architecture.classifiers.classifier import classify_call aclient = instructor.patch(OpenAI()) DEFAULT_PRESET = "promethai_chat" @@ -470,16 +470,12 @@ async def main(): "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 add_documents_to_graph_db(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") - # memory_instance = Memory(namespace='SEMANTICMEMORY') - # sss = await memory_instance.dynamic_method_call(memory_instance.semantic_memory_class, 'fetch_memories', observation='some_observation') - # print(rs) - if __name__ == "__main__": import asyncio diff --git a/level_4/poetry.lock b/level_4/poetry.lock index aa3c8dd04..4d001b4de 100644 --- a/level_4/poetry.lock +++ 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"rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.19)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] +docs = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timm", "tokenizers (>=0.14,<0.19)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision"] docs-specific = ["hf-doc-builder"] flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)"] flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] @@ -5768,11 +5738,11 @@ tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.15)", tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"] tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] timm = ["timm"] -tokenizers = ["tokenizers (>=0.14,<0.15)"] +tokenizers = ["tokenizers (>=0.14,<0.19)"] torch = ["accelerate (>=0.20.3)", "torch (>=1.10,!=1.12.0)"] torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] torch-vision = ["Pillow (<10.0.0)", "torchvision"] -torchhub = ["filelock", "huggingface-hub (>=0.16.4,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.15)", "torch (>=1.10,!=1.12.0)", "tqdm (>=4.27)"] +torchhub = ["filelock", "huggingface-hub (>=0.16.4,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.19)", "torch (>=1.10,!=1.12.0)", "tqdm (>=4.27)"] video = ["av (==9.2.0)", "decord (==0.6.0)"] vision = ["Pillow (<10.0.0)"] @@ -6307,4 +6277,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = "^3.10" -content-hash = "9c465587d5f20c3c3837ed0b059f2db3bbc529b328274da37ed92bd6236421c4" +content-hash = "557ad5543f035d2da31623c26408f60f21c59e8e45d9564c67c67bc6d10ec7f5" diff --git a/level_4/pyproject.toml b/level_4/pyproject.toml index b2affdef6..50adc5edc 100644 --- a/level_4/pyproject.toml +++ b/level_4/pyproject.toml @@ -7,10 +7,10 @@ readme = "README.md" [tool.poetry.dependencies] python = "^3.10" -langchain = "v0.0.308" +langchain = "^0.0.338" nltk = "3.8.1" -openai = "1.2.4" +openai = "1.3.3" pinecone-client = "2.2.2" python-dotenv = "1.0.0" pyyaml = "6.0" @@ -45,6 +45,8 @@ pdf2image = "^1.16.3" instructor = "^0.3.4" networkx = "^3.2.1" graphviz = "^0.20.1" +greenlet = "^3.0.1" +neo4j = "^5.14.1"