egutierrez
c47b9474f4
- Added `text_manager.py` to handle the creation of text libraries via FastAPI. - Introduced database connection management in `conexion.py` using PostgreSQL credentials from environment variables. - Created abstract base class `EmbedderABC` in `Base_Embedder.py` for embedding models. - Developed `OpenAIEmbedder` class to generate embeddings using OpenAI's API. - Implemented `OpenAIEmbedderModel` and repository pattern for managing OpenAI embedders in `Openai_embedder_mmr.py`. - Established `Biblioteca` class for managing text libraries and their associated notes in `biblioteca.py`. - Created SQLAlchemy models and mappers for `Biblioteca` and `Nota` in `biblioteca_mmr.py` and `notas_biblioteca_mmr.py`. - Added functionality for dynamic table generation for notes associated with libraries. - Included comprehensive methods for adding, retrieving, and managing notes and libraries in their respective repositories.
19 lines
572 B
Python
19 lines
572 B
Python
from src.ConexionSql.Postgres_conexion import PostgresConexion
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from src.Credenciales.postgres_credencial import PostgresCredencial
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from dotenv import load_dotenv
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import os
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from entrypoint import ENV_PATH
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# Cargar .env
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load_dotenv(ENV_PATH)
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def get_conexion():
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db_credencial = PostgresCredencial(
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titulo=os.getenv("DB_TITLE"),
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user=os.getenv("DB_USER"),
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password=os.getenv("DB_PASSWORD"),
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host=os.getenv("DB_HOST"),
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port=os.getenv("DB_PORT"),
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dbname=os.getenv("DB_NAME")
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)
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return PostgresConexion(db_credencial) |