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.
24 lines
589 B
Python
24 lines
589 B
Python
# backend/main.py
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from backend.api.v1.router import router
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app = FastAPI(
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title="Fitz Backend",
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description="API para interacción con el frontend y ejecución de tareas",
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version="0.1.0"
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)
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# Configuración de CORS
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["http://localhost:5173", "http://0.0.0.0:5173"], # Solo permite tu frontend local
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# Incluye las rutas de tu API
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app.include_router(router) |