egutierrez
28e50b921c
- Added Router_de_agentes.py to manage agent interactions for sales data analysis. - Created Analizador_de_datos_de_ventas.yaml for generating structured text reports from sales data. - Developed Generador_sql_ventas.yaml for generating SQL queries to analyze sales data. - Established Router_de_agente.yaml as a routing mechanism for agent requests. - Compiled centros_disponibles.md listing available sales centers. - Introduced primera_ejecucion_de_un_agente.py as an example for executing agents. - Added ver_los_prompts_de_un_agente.py to inspect prompts sent to OpenAI. - Included service account key for BigQuery access in rag-datasets-reader-sa-key.json. - Defined schema for sales data in Objeto_ventas.json. - Implemented utility functions for querying BigQuery in conseguir_datos_bq.py. - Created data transformation utilities in transformar_datos.py for handling decimal and date formats.
21 lines
505 B
TOML
21 lines
505 B
TOML
[project]
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name = "conseguir-datos-con-agentes"
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version = "0.1.0"
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description = "Add your description here"
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readme = "README.md"
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requires-python = ">=3.13"
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dependencies = [
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"agno>=2.1.1",
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"google-cloud-bigquery>=3.38.0",
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"icecream>=2.1.8",
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"marimo>=0.16.5",
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"openai>=2.1.0",
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"prefect>=3.4.22",
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"psycopg2>=2.9.10",
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"wikipedia>=1.4.0",
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"yfinance>=0.2.66",
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]
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[tool.marimo.runtime]
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dotenv = [".env", "/home/lucas/DataProyects/Snippets_marimo_noteebooks/secrets/.env.snpt"]
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