Скачать или смотреть How to Save CSV Output from Azure Functions to Azure Blob Storage Using Python

A step-by-step guide on combining code blocks to generate and upload CSV files to Azure Blob Storage using Azure Functions in Python.
---
This video is based on the question https://stackoverflow.com/q/69331616/ asked by the user 'Steve' ( https://stackoverflow.com/u/1890364/ ) and on the answer https://stackoverflow.com/a/69389128/ provided by the user 'Steve' ( https://stackoverflow.com/u/1890364/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Saving CSV output from Azure function to Azure container (Python 3X)

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
Saving CSV Output from Azure Functions to Azure Blob Storage Using Python

In today's digital world, handling data efficiently is paramount. One common task that developers face is saving data outputs in CSV format. If you're working with Azure Functions and need to store your CSV files in Azure Blob Storage, you've come to the right place! We'll walk you through the process of generating a CSV file and uploading it to an Azure container seamlessly.

The Problem

You have two blocks of code: the first one generates a CSV file, while the second uploads a CSV file to an Azure container. While both snippets work perfectly fine on your local machine, you're struggling to integrate them into a cohesive Azure Function. You have a couple of questions to address:

Do I need to save the file in a temp folder in the Azure function before moving it, or can I push it directly to the container?

How do I reference the destination folder/container when saving the CSV?

Understanding the Solution

Let’s break down the process into manageable steps to address both concerns and unify your code blocks into a functional Azure Function.

Step 1: Generate the CSV File

First, we need to generate a CSV file just like you did in your original code. We’ll modify it slightly to ensure it can run seamlessly within the context of an Azure Function.

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Upload CSV to Azure Blob Storage

Once you generate the CSV, you can upload it to Azure Blob Storage. You can directly upload the CSV file generated without needing to save it in a temporary directory.

[[See Video to Reveal this Text or Code Snippet]]

Step 3: Integrate Both Functions into Azure Function

Now that we have both functions ready, we can integrate them into a single Azure Function. Here’s how it can look:

[[See Video to Reveal this Text or Code Snippet]]

Key Takeaways

Direct Upload: You don’t need a temporary folder; the CSV can be created and uploaded directly to the Azure Blob Storage.

Dynamic Naming: By constructing the filename using the code’s stock ticker and the current date, you can avoid overwrites and confusion when managing multiple files in Blob Storage.

Conclusion

With this structured guidance, you should now be equipped to successfully save a CSV output from your Azure Function into Azure Blob Storage. This adaptability not only streamlines your data management practices but also enhances your overall application efficiency. For any further questions or tweaks, don’t hesitate to reach out! Happy coding!