Ángel Delgado DelgadoPanadero

## limites_chatgpt.ipynb

      
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## mlflow-docker-compose.yml
#AWS_BUCKET_NAME=mlflow
#AWS_ACCESS_KEY_ID=minio
#AWS_SECRET_ACCESS_KEY=minio123
#MYSQL_DATABASE=mlflow
#MYSQL_USER=mysql
#MYSQL_PASSWORD=mysql123
#MYSQL_ROOT_PASSWORD=root

version: '3.7'

## pandas_type_check_decorator.py
import inspect
import pandas as pd

class InputDataFrame(pd.DataFrame):

    data_dtypes = {
        'ID':             'int64',
        'DESCRIPTION':   'object',
        'COST':           'int64',
    }

## fastapi_globals.py
"""
This allows to use global variables inside the FastAPI application
using async mode.

# Usage

Just import `g` and then access (set/get) attributes of it:
```python
from your_project.globals import g

## .block
license: mit

## .block
license: mit

## .block
license: mit

## .block
license: mit

## .block
license: mit

## .block
license: mit
height: 0
	#AWS_BUCKET_NAME=mlflow
	#AWS_ACCESS_KEY_ID=minio
	#AWS_SECRET_ACCESS_KEY=minio123
	#MYSQL_DATABASE=mlflow
	#MYSQL_USER=mysql
	#MYSQL_PASSWORD=mysql123
	#MYSQL_ROOT_PASSWORD=root

	version: '3.7'
	import inspect
	import pandas as pd

	class InputDataFrame(pd.DataFrame):

	data_dtypes = {
	'ID': 'int64',
	'DESCRIPTION': 'object',
	'COST': 'int64',
	}
	"""
	This allows to use global variables inside the FastAPI application
	using async mode.

	# Usage

	Just import `g` and then access (set/get) attributes of it:
	```python
	from your_project.globals import g