Azure Blob to Telegram
A Python Azure Function that uses the FFmpeg library to reduce the size of a video uploaded to Blob Storage and sends it to a Telegram chat.
As you need to have the FFmpeg library installed to run it, this function should be deployed as a container.
You can find a prebuilt container in Docker Hub.
What do I need
- An Azure Storage account with a container named camerain where you drop your .mp4 files.
- A Telegram Bot API id.
- Any system that drops .mp4 files into the Azure Storage Account
Steps to build, deploy and configure
- Build the container image and upload it to your preferred image registry. You can follow the build container image tutorial. In my case I used Azure Container Registry
- Create an Azure Function and all its resources.
- Create an Azure Storage Account with a container named camerain, or you can change it in the function.json path property, before building the container.
- Configure the mandatory fields
- AzureWebJobsStorage
- CameraDropFilesStorage
- TELEGRAM_CHAT_ID
- TELEGRAM_API_KEY
- Enjoy (you may send some files to your Storage account camerain's folder)
Parameters
There's some additional parameters that you may use to influence the way video is scaled, here are all the configuration parameters for this container:
- AzureWebJobsStorage: mandatory, used for task sincronization by the Azure Functions Platform
- CameraDropFilesStorage: mandatory, needs to have a camerain container where you drop the .mp4 files
- TELEGRAM_API_KEY: mandatory, the Bot API Key from Telegram
- TELEGRAM_CHAT_ID: mandatory, the ID of the chat where you want to send the video
- TELEGRAM_DISABLE_NOTIFICATION: default=True, set it to false if you want add notification to the messages
- FFMPEG_FPS: default=10
- FFMPEG_WIDTH: default=320, height is calculated from the width
- FFMEG_NOAUDIO: default=True, set it to false if you want to send audio