https://github.com/hpprc/deadbeats

☠️ Easy to use slack messaging library ☠️
https://github.com/hpprc/deadbeats

heartbeat python research slack

Last synced: 10 days ago
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☠️ Easy to use slack messaging library ☠️

• Host: GitHub
• URL: https://github.com/hpprc/deadbeats
• Owner: hppRC
• License: mit
• Created: 2020-10-29T15:12:31.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2021-05-07T07:08:34.000Z (over 3 years ago)
• Last Synced: 2024-10-09T23:07:14.535Z (27 days ago)
• Topics: heartbeat, python, research, slack
• Language: Python
• Homepage: https://pypi.org/project/deadbeats/
• Size: 205 KB
• Stars: 7
• Watchers: 3
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# DEADBEATS

An easy to use Slack messaging library for research.

## Usage

```python

from deadbeats import DEADBEATS

# set environment variables as below

# SLACK_ACCESS_TOKEN=xxxx-xxxxxxxxxxxxx-xxxxxxxxxxxxxx-xxxxxxxxxxxxxxxxxxxxxxxx (Get your own Slack API access token)

# SLACK_CHANNEL_ID=deadbeats (set slack channel id whatever you like!)

# or you can set configurations manually.

DEADBEATS.set_access_token("SLACK_ACCESS_TOKEN")

DEADBEATS.set_channel_id("SLACK_CHANNEL_ID")

# `DEADBEATS.wrap` sends a message at the beginning and the end of the wrapped function.

# `DEADBEATS.wrap` catch every errors and raise it after sending a error message.

@DEADBEATS.wrap

def main():

    # A simple "heartbeating" message.

    DEADBEATS.ping()

    # Start threading!

    # All subsequent messages will be sent to the thread.

    DEADBEATS.start_thread()

    # You can add extra information like below.

    params = {"loss": 0.5, "val_loss": 1.6, "acc": 100.0}

    DEADBEATS.ping(text="message whatever you like", params=params, additional="info", huga="huga")

    # If you want to stop threading, you can use this method.

    # This method reset "thread_ts" of a instance variable, which is a id of thread.

    DEADBEATS.reset_thread()

```

## With PyTorch Lightning

```python

from deadbeats import DEADBEATS

class MyModel(pl.LightningModule):

    ...

    def on_train_start(self):

        DEADBEATS.start_thread()

    ...

    def validation_epoch_end(self, outputs):

        avg_loss = torch.stack([x['val_loss'] for x in outputs]).mean()

        DEADBEATS.ping(val_loss = avg_loss, current_epoch = self.current_epoch)

        return {'val_loss': avg_loss}

    ...

    # custom training function

    @DEADBEATS.wrap

    def fit(self, trainer):

        trainer.fit(self)

```

## messages like below

![example](.github/images/example_message.png)

This library is named after the wonderful work of [Mori Calliope](https://www.youtube.com/channel/UCL_qhgtOy0dy1Agp8vkySQg), [DEAD BEATS](https://youtu.be/6ydgEipkUEU), and inspired by [hugginface/knockknock](https://github.com/huggingface/knockknock).