feat: Implement text manager API and database connection

Archived

- 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.

This commit is contained in:

egutierrez

2025-05-10 17:52:43 +02:00

parent c646bc1fef

commit c47b9474f4

27 changed files with 844 additions and 44 deletions

									
										scripts/datos_para_llms/generar_tree.py
									
		+1
		
												View File
												
				@@ -28,3 +28,4 @@ def save_tree_to_file(start_path='.', max_depth=2, output_file='tree.txt'):

				# Ejemplo de uso:

				# Puedes cambiar estos valores según lo necesites

				save_tree_to_file(start_path=r'E:\Fitz_Studio', max_depth=3, output_file=r'E:\Fitz_Studio\data\files\txt\tree.txt')