forta-toolkit 0.1.19

Tools to help with the common problems of Forta bot development

Forta Toolkit

Various tools to help with the common problems of Forta bot development.

Table of Contents

• Installation
• Usage
  • Alert statistics
  • Logging execution events
  • Improving performances
  • Load balancing
  • Profiling
• Development
  • Changelog
  • Todo
• Credits
• License

Installation

# globally
pip install forta_toolkit

# in a local environment
poetry add forta_toolkit

Usage

Bot setup

The Forta often require initialization steps to adapt to a given chain or use external tools.

Alert statistics

This is an alternative to querying the Zetta API for alert statistics. It saves a local history of the alerts in memory and use it to calculate the rates. The main motivation is to improve performance by avoiding web requests.

To use it, just wrap handle_block / handle_transaction / handle_alert as follows:

import forta_toolkit

@forta_toolkit.alerts.alert_history(size=10000)
def handle_block(log: BlockEvent) -> list:
    pass

@forta_toolkit.alerts.alert_history(size=10000)
def handle_transaction(log: TransactionEvent) -> list:
    pass

@forta_toolkit.alerts.alert_history(size=10000)
def handle_alert(log: AlertEvent) -> list:
    pass

The decorator will automatically add the anomaly_score in the metadata of the Finding objects. It will use the field alert_id from the Finding objects to identify them.

make sure the history size is big enough to contain occurences of the bot alerts!

For example, if your bot triggers ALERT-1 every 2k transactions and ALERT-2 every 10k on average: @alert_history(size=100000) would gather enough alerts to have a relevant estimation of the rate of both alerts.

Logging execution events

Improving performances

Load balancing

Profiling

The bots have to follow the pace of the blockchain, so they need to process transactions relatively quickly.

You can leverage the profiling tools to find the performance bottlenecks in your bots:

from forta_toolkit.profiling import test_performances, display_performances

test_performances(func=handle_transaction, data=some_tx_log)
display_performances(logpath='./test_performances')

Otherwise, you can monitor the performances directly when processing mainnet transactions. Just decorate the handle_block / handle_transaction / handle_alert as follows:

@forta_toolkit.alerts.profile
def handle_transaction(tx: TransactionEvent) -> list:
    pass

Then you can parse the profile logs manually with pstats or:

display_performances(logpath='some/path/to/the/logs/handle_transaction')

Development

Contributions welcome!

Changelog

See CHANGELOG.

Todo

See TODO.

Credits

The RPC request queue was inspired by the TS module forta-helpers by Artem Kovalchuk.

License

Licensed under the aGPL v3.