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.
8 lines
269 B
Python
8 lines
269 B
Python
# backend/api/router.py
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from fastapi import APIRouter
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from backend.api.v1.endpoints import ping, nota, text_manager
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router = APIRouter()
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router.include_router(ping.router, prefix="/api/v1/ping")
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router.include_router(text_manager.router, prefix="/api/v1/bibliotecas") |