Test statement

Part 0

Install poetry using pip:

pip install poetry

Set virtual environment location to local folder:

poetry config virtualenvs.in-project true

Install dependencies:

poetry install

Run the server:

poetry run python main.py

Note

Part 1

• Create a first endpoint to get horse results with as option the horseback category as optional filter. Use GET method. If the horse is not found with ffe_service return a 404 error.

Part 2

• Implement the algorithm on models.horseback.points(). For each horseback the number of points earned is :

  • first quarter* : 8 points
  • second quarter* : 4 points
  • third quarter* : 2 points
  • last quarter* : 0 point

  Use ceil to determine the quarter size.

Part 3

• Create a second endpoint that accept a list of Horse Id (data source: FFE). Use POST method to give the list as payload.

  The endpoint return the horse classment for each category / discipline. Only the best 3 horses must be returned, with name and total points for this category/discipline. The pandas library must be used for this implementation.

Notes

Results of the two endpoint must be filtered on the current year.

To get the horse data, you can use the ffe_service. :warning: Please note, ffe_service can be slow as it perform IO operations.

You can test your API, for the following horses :

• TURNeE1EUTVNak4vdTdjS3dNQ3RlUT09
• TVRRMU5ETXlOemtGalNWSzZxTHU5UT09
• TmpBd016UXlOamN4bEIrc2R4RFlWZz09
• TURFek5EYzJOemtrV2xYU3FGaFpXUT09