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gnosis / prediction-market-agent-tooling

Tools to benchmark, deploy and monitor prediction market agents.
GNU Lesser General Public License v3.0
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Compare trading vs prediction accuracy #544

Closed kongzii closed 2 weeks ago

coderabbitai[bot] commented 2 weeks ago

Walkthrough

This pull request introduces several modifications across multiple files within the prediction_market_agent_tooling module. Key changes include the addition of a new constant BPS_CONSTANT and new properties in the ContractPrediction class, which enhance its functionality. The OmenBet class's transactionHash field is updated to a different data type. A new method is added to the OmenSubgraphHandler class to retrieve agent results for specific bets. Additionally, a new script is introduced to evaluate the accuracy of bets in a prediction market.

Changes

File Change Summary
prediction_market_agent_tooling/markets/omen/data_models.py - Added constant BPS_CONSTANT.
- Added properties estimated_probability and boolean_outcome in ContractPrediction.
- Updated transactionHash type from HexAddress to HexBytes in OmenBet.
prediction_market_agent_tooling/tools/utils.py - Added constant BPS_CONSTANT = 10000.
prediction_market_agent_tooling/markets/omen/omen.py - Added constant BPS_CONSTANT.
- Updated logic in store_trades method to use BPS_CONSTANT instead of a hardcoded value.
prediction_market_agent_tooling/markets/omen/omen_subgraph_handler.py - Added method get_agent_results_for_bet to retrieve agent results for a specific OmenBet.
scripts/compare_trading_vs_prediction_accuracy.py - Introduced script to evaluate accuracy of bets in a prediction market with a main function.

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