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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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Added boolean flag to control IPFS upload #470

Closed gabrielfior closed 1 month ago

coderabbitai[bot] commented 1 month ago

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📥 Commits Files that changed from the base of the PR and between 2a4cdc90ab036faf2ed17212a574449c718d1c10 and e9c8eb730f8ce4985a60b2cfa0965f7b5ce11f54.

Walkthrough

The pull request introduces a new environment variable ENABLE_IPFS_UPLOAD to the .env.example file and adds an optional property for it in the APIKeys class within config.py. It modifies the DeployableTraderAgent class in agent.py to streamline IPFS handling by removing the ipfs_handler instance variable and directly instantiating IPFSHandler in the store_prediction method. Additionally, it enhances the test suite for the Omen prediction market by adding a new test case to check the behavior of predictions with an empty IPFS hash.

Changes

File Path Change Summary
.env.example Added new variable ENABLE_IPFS_UPLOAD.
prediction_market_agent_tooling/config.py Added optional property ENABLE_IPFS_UPLOAD of type bool and method enable_ipfs_upload in APIKeys class. Corrected indentation of other properties.
prediction_market_agent_tooling/deploy/agent.py Removed self.ipfs_handler from DeployableTraderAgent. Modified store_prediction method to instantiate IPFSHandler directly and updated IPFS handling logic.
tests_integration_with_local_chain/markets/omen/test_omen.py Added test function test_add_prediction_with_empty_ipfs_hash to verify behavior with empty IPFS hash. Adjusted import statements for consistency.

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