Rename embedchain to mem0 and open sourcing code for long term memory (#1474)
Co-authored-by: Deshraj Yadav <deshrajdry@gmail.com>
This commit is contained in:
111
embedchain/tests/test_app.py
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111
embedchain/tests/test_app.py
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import os
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import pytest
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import yaml
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from embedchain import App
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from embedchain.config import ChromaDbConfig
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from embedchain.embedder.base import BaseEmbedder
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from embedchain.llm.base import BaseLlm
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from embedchain.vectordb.base import BaseVectorDB
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from embedchain.vectordb.chroma import ChromaDB
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@pytest.fixture
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def app():
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os.environ["OPENAI_API_KEY"] = "test_api_key"
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os.environ["OPENAI_API_BASE"] = "test_api_base"
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return App()
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def test_app(app):
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assert isinstance(app.llm, BaseLlm)
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assert isinstance(app.db, BaseVectorDB)
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assert isinstance(app.embedding_model, BaseEmbedder)
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class TestConfigForAppComponents:
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def test_constructor_config(self):
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collection_name = "my-test-collection"
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db = ChromaDB(config=ChromaDbConfig(collection_name=collection_name))
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app = App(db=db)
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assert app.db.config.collection_name == collection_name
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def test_component_config(self):
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collection_name = "my-test-collection"
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database = ChromaDB(config=ChromaDbConfig(collection_name=collection_name))
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app = App(db=database)
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assert app.db.config.collection_name == collection_name
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class TestAppFromConfig:
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def load_config_data(self, yaml_path):
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with open(yaml_path, "r") as file:
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return yaml.safe_load(file)
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def test_from_chroma_config(self, mocker):
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mocker.patch("embedchain.vectordb.chroma.chromadb.Client")
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yaml_path = "configs/chroma.yaml"
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config_data = self.load_config_data(yaml_path)
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app = App.from_config(config_path=yaml_path)
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# Check if the App instance and its components were created correctly
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assert isinstance(app, App)
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# Validate the AppConfig values
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assert app.config.id == config_data["app"]["config"]["id"]
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# Even though not present in the config, the default value is used
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assert app.config.collect_metrics is True
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# Validate the LLM config values
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llm_config = config_data["llm"]["config"]
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assert app.llm.config.temperature == llm_config["temperature"]
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assert app.llm.config.max_tokens == llm_config["max_tokens"]
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assert app.llm.config.top_p == llm_config["top_p"]
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assert app.llm.config.stream == llm_config["stream"]
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# Validate the VectorDB config values
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db_config = config_data["vectordb"]["config"]
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assert app.db.config.collection_name == db_config["collection_name"]
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assert app.db.config.dir == db_config["dir"]
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assert app.db.config.allow_reset == db_config["allow_reset"]
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# Validate the Embedder config values
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embedder_config = config_data["embedder"]["config"]
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assert app.embedding_model.config.model == embedder_config["model"]
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assert app.embedding_model.config.deployment_name == embedder_config.get("deployment_name")
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def test_from_opensource_config(self, mocker):
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mocker.patch("embedchain.vectordb.chroma.chromadb.Client")
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yaml_path = "configs/opensource.yaml"
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config_data = self.load_config_data(yaml_path)
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app = App.from_config(yaml_path)
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# Check if the App instance and its components were created correctly
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assert isinstance(app, App)
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# Validate the AppConfig values
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assert app.config.id == config_data["app"]["config"]["id"]
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assert app.config.collect_metrics == config_data["app"]["config"]["collect_metrics"]
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# Validate the LLM config values
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llm_config = config_data["llm"]["config"]
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assert app.llm.config.model == llm_config["model"]
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assert app.llm.config.temperature == llm_config["temperature"]
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assert app.llm.config.max_tokens == llm_config["max_tokens"]
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assert app.llm.config.top_p == llm_config["top_p"]
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assert app.llm.config.stream == llm_config["stream"]
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# Validate the VectorDB config values
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db_config = config_data["vectordb"]["config"]
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assert app.db.config.collection_name == db_config["collection_name"]
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assert app.db.config.dir == db_config["dir"]
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assert app.db.config.allow_reset == db_config["allow_reset"]
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# Validate the Embedder config values
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embedder_config = config_data["embedder"]["config"]
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assert app.embedding_model.config.deployment_name == embedder_config["deployment_name"]
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