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In FastAPI, you consume query parameters from a POST request by adding parameters to the function definition using Pydantic models. These parameters will be automatically extracted from the request and validated based on the model definition. You can define these parameters as query parameters by including the parameter type and default values in the model. When you call the function with a POST request, FastAPI will validate and extract the query parameters for you to use within the function.
What is the method for extracting query parameters from a POST request in FastAPI?
In FastAPI, you can extract query parameters from a POST request using the Request object. Here is an example of how you can extract query parameters from a POST request in FastAPI:
from fastapi import FastAPI, Request
app = FastAPI()
@app.post("/items/") async def create_item(request: Request): query_params = dict(request.query_params) return {"query_params": query_params}
In this example, we define a route /items/ that accepts POST requests. We use the Request object as a parameter to the route function, which allows us to access the query parameters using request.query_params. We convert the query parameters to a dictionary and return it as the response.
How to consume and extract query parameters from a POST request in FastAPI for further processing?
To consume and extract query parameters from a POST request in FastAPI, you can define a Pydantic model that includes the query parameters and use it as a parameter in your endpoint function. Here's an example:
- Define a Pydantic model that represents the query parameters. For example, create a file named schemas.py with the following content:
from pydantic import BaseModel
class QueryParams(BaseModel): param1: str param2: int
- In your endpoint function, include a parameter with the Pydantic model representing the query parameters. For example, create a file named main.py with the following content:
from fastapi import FastAPI from schemas import QueryParams
app = FastAPI()
@app.post("/process_params/") async def process_params(query_params: QueryParams): param1 = query_params.param1 param2 = query_params.param2
# Further processing of the query parameters
# Add your processing logic here
return {"param1": param1, "param2": param2}
- Send a POST request to the /process_params/ endpoint with the query parameters in the request body. FastAPI will automatically parse the query parameters based on the Pydantic model and provide them to your endpoint function for further processing.
$ curl -X POST "http://localhost:8000/process_params/" -H "Content-Type: application/json" -d '{"param1": "value1", "param2": 123}'
In this example, FastAPI will extract the param1 and param2 query parameters from the request body and pass them to the process_params function for further processing. You can then access and use the query parameters as needed in your processing logic.
How to retrieve query parameters from a POST request in FastAPI?
In FastAPI, query parameters can be retrieved from a POST request using the Request object. Here's an example of how you can retrieve query parameters from a POST request in FastAPI:
from fastapi import FastAPI, Request
app = FastAPI()
@app.post("/items/") async def read_item(request: Request): # Retrieve query parameters from the Request object param1 = request.query_params.get("param1") param2 = request.query_params.get("param2")
return {"param1": param1, "param2": param2}
In this example, we define a POST route /items/ that takes a Request object as a parameter. We then use the query_params attribute of the Request object to retrieve the query parameters. The get method is used to retrieve the value of a specific query parameter.
When sending a POST request to the /items/ endpoint with query parameters, the values of the query parameters will be extracted and returned in the response.