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Home / Viewpoint / Guide: What are FastAPI Query Parameters and How to Utilize Them?

Guide: What are FastAPI Query Parameters and How to Utilize Them?

FastAPI query parameters are a special type of query parameters that require the extra FastAPI and Query libraries to access them. Learn how to create code to paginate, filter, sort, and search using FastAPI query parameters here!

FastAPI is a modern, fast-performing web framework that can be used for building APIs with Python (ver. 3.8+) based on standard Python-type hints. With many developers relying on FastAPI for their very high-performing, standard-based Python framework (based on OpenAPI and the JSON schema), it is becoming more popular for it being a developer's API development tool of choice.

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For APIs to work together with servers, clients would need to be able to communicate with APIs. Consequently, the client's side utilizes query parameters (and path parameters depending on the situation) to request certain data with the help of web addresses. This article will therefore elaborate more on what FastAPI query parameters are, and how you can utilize them for applications.

What are FastAPI Query Parameters?

FastAPI query parameters essentially refer to ordinary query parameters that are used in the context of the FastAPI framework. They are another method for the clients to pass additional information to API endpoints through a web address (or URL).

fastapi website
The FastAPI website

Key Features of FastAPI Query Parameters

There are some slight variations on how you can access FastAPI query parameters when compared with other types of query parameters.

Declared in function parameters: Unlike path parameters, which are part of the URL path itself, query parameters are defined as function parameters within your API endpoint. Any parameter not explicitly declared as a path parameter will be treated as a query parameter.

Accessed through the Query function: To access query parameters within your endpoint function, you use the Query function from the fastapi library. This function can take several arguments, including:

  • default: A default value to be used if the parameter is not provided in the request.
  • description: A description of the parameter for documentation purposes.

Optional and required: Query parameters can be optional or required. By setting a default value, you make the parameter optional. Omitting the default value makes it mandatory for the client to provide the parameter in the request.

fastapi query parameter api documentation
FastAPI's query parameter guide

Example of How to use FastAPI Query Parameters (Code Snippets Included)

[Note that the code snippets provided in this section require modification, as they may not be suited to your coding's requirements]

1. Pagination

You can utilize FastAPI query parameters to separate large amounts of records or items and break them down into smaller groups. This can prevent overwhelming the user with too much information all at once.

from fastapi import FastAPI, Query

app = FastAPI()

@app.get("/items")
async def get_items(skip: int = Query(default=0), limit: int = Query(default=10)):
    # Logic to retrieve items from database based on skip and limit values
    return items

Additional Explanation:

In this code example, skip and limit are query parameters. By default, it will return the first 10 items (limited by limit). A possible way to modify these values in the URL would be something like:

  • http://localhost:8000/items?skip=10&limit=20
    This will retrieve items from index 10 (skipping the first 10) to index 29 (limited by 20).

2. Filtering

FastAPI query parameters can be utilized for filtering data based on specific criteria.

The code example below demonstrates a FastAPI query parameter that retrieves products.

from fastapi import FastAPI, Query

app = FastAPI()

@app.get("/products")
async def get_products(category: str | None = Query(default=None), price_from: float | None = Query(default=None), price_to: float | None = Query(default=None)):
    # Logic to filter products based on category, price range
    return products

Additional Explanation:

Users can choose to specify a category and a price range ( price_from and price_to ) to filter the list of products returned.

3. Sorting

Many developers have also found FastPI query parameters suitable for sorting data.

from fastapi import FastAPI, Query

app = FastAPI()

@app.get("/users")
async def get_users(sort_by: str = Query(default="name", choices=["name", "created_at"])):
    # Logic to sort users based on the provided sort_by parameter
    return users

Additional Explanation:

Users can choose how to sort the list of users returned by the API by either name or created_at using the sort_by query parameter.

4. Searching

FastAPI query parameters are found to be useful for implementing search functionalities in many web applications.

With FastApiquery parameters, you can quickly capture a search term with the following code:

from fastapi import FastAPI, Query

app = FastAPI()

@app.get("/search")
async def search(q: str = Query(default="")):
    # Logic to search for resources based on the search term (q)
    return search_results

Additional Explanation:

Users can search for specific resources by providing a search term in the q parameter.

To find out more on how you can work with FastAPI query parameters, visit their website.

Apidog - Superior Alternative to FastAPI

An excellent alternative for developing APIs to FastAPI is Apidog.

Apidog and FastAPI share a lot of beneficial features, such as an easy and intuitive user interface and web-industry-level standards. However, what allows Apidog to stand out are the additional features that FastAPI does not possess.

apidog functionalities api design development platform
All of Apidog's functionalities: building, testing, mocking, and documenting.

Automated Client Code Generation Using Apidog

Apidog supports both new and experienced API developers by facilitating client code generation in multiple programming languages.

code generation button apidog
Button for code generation on Apidog

Locate the </> button found on the top right corner of the Apidog window. After pressing this button, click on Generate Client Code to continue.

generate pythoon api client code apidog
Generating Python client code with Apidog

From the image above, you can see a code shell that provides ready-to-use code. All you need to do is copy and paste the code to your coding platform. You can generate code in numerous programming languages, such as Python, JavaScipt, Shell, and Java.

Real-world Simulation Testing Scenarios Using Apidog

Apidog allows you to simulate real-world scenarios by adding multiple steps to a test case, and selecting an appropriate environment for your APIs.

initialize new test scenario apidog
Initializing a new test scenario on Apidog

Firstly, locate the Testing button pointed out by Arrow 1 in the image above. You should then see + New Test Scenario, pointed out by Arrow 2.

description new test scenario apidog
Fill description for the new test scenario

Fill in the necessary details regarding your test scenario here. Make sure that the names are self-explanatory so you do not have to second-guess yourself in case you forget what the test scenario is about.

add step new test scenario api apidog
Adding step(s) to the test scenario

Add a step(s)  to your test scenarios by clicking on the "Add Step" section. You should be able to see the image below.

select import from api soap apidog
Select "Import from APIs"

Select Import from API from the drop-down menu.

add soap api web service test case scenario apidog
Add all the APIs to include in your test scenario

Select all the APIs you would like to include in your test scenario. In the example above, the API called NumberConversionSOAP has been included.

edit testing environment start run test scenario apidog
Set Environment to "Testing Env" and hit "Run" to start testing

Before hitting the Run button to start your test scenario, make sure to change the test scenario environment, which should be Testing Env, as pointed out by Arrow 1.

Give it a try, and you can see whether your API can meet all your requirements!

Generating Documentation For Requests in Apidog

Apidog supports API documentation generation for API developers just based on what they have done in their projects.

step by step process sharing api documentation apidog
REST API Documentation is Sharable on Apidog

To begin, first, find the "Share" button as pointed out by Arrow 1, and press the "+ New" button as pointed out by Arrow 2

input api details and select api doc properties apidog
Input and Select API Documentation Properties with Apidog 

Apidog provides the option to choose who can view your API documentation as well as set a file password, so only chosen individuals or organizations can view it.

Once all required fields like API documentation name and language have been filled, hit Enter on your keyboard or the Save button.

View or Share Your API Documentation
open share edit api documentation apidog
API Documentation is ready for viewing

Apidog compiles your API project's details into an API documentation that is viewable through a website URL. All you have to do is click the Copy Link link under Actions, and paste the URL on your favorite browser to view your API Documentation!

If you are interested, read this article on how to generate API documentation using Apidog.

Conclusion

FastAPI query parameters are a special type of query parameter that can be used with FastAPI APIs. Similar to other query parameters, they carry out the same functionalities, such as pagination, filtering, searching, and sorting. Unlike JavaScript query parameters They differ in the way they are accessed - you need to import the FastAPI and Query libraries before you can implement FastAPI query parameters.

Apidog is a powerful substitute for FastAPI as an API development tool. With impressive and useful features such as client code generation, automated API documentation, and testing scenarios, Apidog is the only application you need to download.

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