Pydantic input feature collection

[ElJocho]

Description

We now use geojson_pydantic in our request_models which allows the users to have full information of the type of geojson that is required to query oqapi.

New or changed dependencies

• removed the package geojson

Checklist

• [x] I have updated my branch to main (e.g. through git rebase main)
• [x] My code follows the style guide and was checked with pre-commit before committing
• [x] I have added sufficient unit and integration tests
• [ ] I have updated the CHANGELOG.md

[matthiasschaub]

Looks good. Thanks for the tedious effort. A couple of things I would like to tackle before merging:

• [x] Why does the area calculation differ?
• [x] Write a custom mapper or loop for reproject coordinates (raster/client.py)
• [x] Make properties optional. Often times properties are empty and not inlcuded in a GeoJSON. We should not be to strict on our side.
• [x] Add CRS validator function as part of the custom request pydantic model
• [ ] Review /tests @matthiasschaub
• [ ] Add example to request model. Users should be able to fire up an example request using Swagger UI without changing anything.

[ElJocho]

Looks good. Thanks for the tedious effort. A couple of things I would like to tackle before merging:

* [x]  Why does the area calculation differ?

* [x]  Write a custom mapper or loop for reproject coordinates (raster/client.py)

* [x]  Make properties optional. Often times properties are empty and not inlcuded in a GeoJSON. We should not be to strict on our side.

* [ ]  Add CRS validator function as part of the custom request pydantic model

* [ ]  Review /tests @matthiasschaub

* [ ]  Add example to request model. Users should be able to fire up an example request using Swagger UI without changing anything.

-> area calculation differs since geojson library rounds or cuts coordinate precision to 6 decimal spaces, pydantic_geojson does not