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Automatic archiver for SHOWROOM live which is listed by YAML file.

Project description

SHOWROOM Podcast

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Automatic archiver for SHOWROOM live which is listed by YAML file.

Advantage

  • Waits for on live, automatic archiving
  • Archives multiple lives at same time

Waits for on live, automatic archiving

Process waits for rooms on live. When live are started, process will automatically start archiving. Even if live was suddenly start during you are busy, you will be free from non-essential and non-urgent call, you can concentrate your task.

Archives multiple lives at same time

It's possible to archive multiple lives at same time as much as CPU resource is supplied. You can check each content in order without watch at same time.

Requirement

Quickstart

1. Install

pip install showroompodcast

2. Create config.yml

# How much numbers of live record at same time.
number_process: ?

# List up tracking room ID to track for archive.
list_room_id:
  - ??????
  - ??????
  - ??????
  - ??????
  - ??????

# When set, process will report to Slack when process down for any reason.
slack:
  bot_token: xoxb-123456789012-345678901234-567890abcdefghijklmnopqr
  channel: ABCDEFGHI

3. Create output directory

mkdir output

So far, the directory structure looks like this:

your-workspace/
+----output/
+----config.yml

4. Execute command to run

showroom-podcast

Then, process will automatically archive live into output directory when live has started.

Note that the process consumes packets even while waiting to track room whether on live or not. Be ensure network especially when using it on a mobile line.

5. When shutdown process, send Ctrl + C in terminal

Download files

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Source Distribution

showroompodcast-20220205125000.tar.gz (11.5 kB view details)

Uploaded Source

Built Distribution

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showroompodcast-20220205125000-py3-none-any.whl (13.3 kB view details)

Uploaded Python 3

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  • Download URL: showroompodcast-20220205125000-py3-none-any.whl
  • Upload date:
  • Size: 13.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

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