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4 min readTo add custom validation in FastAPI, you can create a custom Field class that inherits from the Depends class provided by FastAPI. Inside this custom Field class, you can define your custom validation logic by overriding the __call__ method.Within the __call__ method, you can perform any validation checks you need and raise a HTTPException with an appropriate status code and error message if the data does not pass the validation.
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4 min readTo download a file using FastAPI, you can create an endpoint that returns a FileResponse object from the Starlette library. First, you need to import the necessary modules: from fastapi import FastAPI from starlette.responses import FileResponse Then, create a FastAPI app instance: app = FastAPI() Next, define a route that returns a file: @app.get("/download-file") async def download_file(): file_path = "path/to/your/file.
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3 min readIn FastAPI, you can define route paths by using the @app.get, @app.post, @app.put, @app.delete, or @app.patch decorators. These decorators allow you to define the HTTP method used to interact with that particular route path. You can also define route parameters by using curly braces {} in the route path. These parameters will be automatically passed to the corresponding function as arguments. Additionally, you can use the Request parameter to access the request data and query parameters.
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6 min readIn FastAPI, you can count the total hours by utilizing the datetime module. First, you need to import the necessary modules such as datetime. Then, you can create a start_time and end_time variable to store the start and end times respectively. Calculate the difference between the end and start times to get the total hours. Finally, return the total hours as a response. This can be done by creating a route using the @app.get() decorator.
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3 min readIn 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.
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3 min readTo get variable output in PowerShell, you can use the Write-Output cmdlet followed by the variable you want to display. This will output the value of the variable to the console. Another option is to use the Write-Host cmdlet to display the variable value along with any additional text or formatting. You can also use the format operator (-f) to format the output of variables in a specific way.
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7 min readIn FastAPI, you can read non-JSON data from a request by using the Request object provided by the framework. The Request object contains all the information related to the incoming HTTP request, including the body content.To read non-JSON data from a request, you can access the body attribute of the Request object. This attribute contains the raw bytes of the request body, which you can then process according to your needs.
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6 min readTo add a CSV row to an array in PowerShell, you can use the Import-Csv cmdlet to read the CSV file and store the data in a variable. Then, you can use the += operator to add the CSV row to the array. Here is an example code snippet: # Read the CSV file and store the data in a variable $data = Import-Csv -Path "C:\path\to\file.
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5 min readTo pass the db:session object to a Celery task in FastAPI, you can achieve this by first creating a dependency which provides the database session to your Celery task.Within your FastAPI application, you can create a dependency function that creates a new session and yields it to your Celery task. In your Celery task function, you can then accept the session as an argument and perform database operations within the task.
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6 min readTo convert spool contents with PowerShell, you can use the Get-Content cmdlet to read the content of a file, which can then be manipulated using various PowerShell commands. You can use regular expressions or string manipulation functions to extract specific data from the spool contents, and then use Set-Content cmdlet to write the modified content to a new file.
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7 min readTo restrict the content-type in FastAPI request header, you can use the Depends function from the fastapi.security module along with the Security object. By defining a function that checks and enforces the desired content-type and using it as a dependency in your endpoint, you can restrict the content-type that the endpoint will accept.For example, you can create a function that checks the content-type in the request header and raises an error if it does not match the expected type.