feat: Implement text manager API and database connection

- 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.

src/ApiKeys/openai_apikey.py

@@ -1,11 +1,14 @@
+from src.Security.GenerarIDs import GeneradorIDUnico
+
 class OpenAICredencial:
-    def __init__(self, titulo: str, api_key: str, organizacion: str = None):
+    def __init__(self, titulo: str, api_key: str, organizacion: str = None, id: str = None):
         """
         :param titulo: Nombre descriptivo para esta credencial.
         :param api_key: Clave secreta de la API de OpenAI.
         :param organizacion: (Opcional) ID de la organización asociada a la cuenta de OpenAI.
         """
-        self.titulo = titulo
+        self.id = id if id is not None else GeneradorIDUnico("OPAK").generar()
+        self.titulo = titulo    
         self.api_key = api_key
         self.organizacion = organizacion