<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

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"_FastAPIライブラリを採用し、クエリで**予測値**を取得できる**REST**サーバを構築しました。 [for Ludwig]_"

This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic.

!!! info
    Keep in mind that dataclasses can't do everything Pydantic models can do.

    So, you might still need to use Pydantic models.

    But if you have a bunch of dataclasses laying around, this is a nice trick to use them to power a web API using FastAPI. 🤓

## Dataclasses in `response_model`

It uses the information from Webargs and Marshmallow to automatically generate OpenAPI schemas, using APISpec.

It's a great tool, very underrated. It should be way more popular than many Flask plug-ins out there. It might be due to its documentation being too concise and abstract.

This solved having to write YAML (another syntax) inside of Python docstrings.

### Core automation platform

This is a general-purpose automation platform which takes care of the efficient definition and execution of work, such as tasks.
This platform is agnostic to what exactly the purpose of the work is.
It might be creating an application, setting up development environments, orchestrating deployments, running simulations, etc.

This schema definition includes your API paths, the possible parameters they take, etc.

#### Data "schema"

The term "schema" might also refer to the shape of some data, like a JSON content.

In that case, it would mean the JSON attributes, and data types they have, etc.

#### OpenAPI and JSON Schema

### Disable Response Model

Continuing from the example above, you might not want to have the default data validation, documentation, filtering, etc. that is performed by FastAPI.

But you might want to still keep the return type annotation in the function to get the support from tools like editors and type checkers (e.g. mypy).

<div style="text-align: right; margin-right: 10%;">কবির খান - <strong>মাইক্রোসফ্টে</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

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"_আমরা **FastAPI** লাইব্রেরি গ্রহণ করেছি একটি **REST** সার্ভার তৈরি করতে, যা **ভবিষ্যদ্বাণী** পাওয়ার জন্য কুয়েরি করা যেতে পারে। [লুডউইগের জন্য]_"

					symmetry = uint64(len(p.Seq))%ss == 0
				} else {
					symmetry = ss%uint64(len(p.Seq)) == 0
				}
			}
		}
		// With no arg patterns, it is expected that user knows
		// the right symmetry, so either ellipses patterns are
		// provided (recommended) or no ellipses patterns.
		if _, ok := newSetCounts[ss]; !ok && (symmetry || argPatterns == nil) {
			newSetCounts[ss] = struct{}{}
		}
	}

        }

        // We are forcing the use of the plugin realm for all lookups that might occur during
        // the lifecycle that is part of the lookup. Here we are specifically trying to keep
        // lookups that occur in contextualize calls in line with the right realm.
        ClassRealm oldLookupRealm = container.setLookupRealm(pluginRealm);

      allocationLimit = settings.getMaxConcurrentStreams()

      if (allocationLimit < oldLimit) {
        // We might need new connections to keep policies satisfied
        connectionPool.scheduleOpener(route.address)
      } else if (allocationLimit > oldLimit) {
        // We might no longer need some connections
        connectionPool.scheduleCloser()
      }
    }
  }