Bump PMAT #525
Bump PMAT #525
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WalkthroughThe pull request introduces several modifications across multiple files in the Changes
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Actionable comments posted: 1
🧹 Outside diff range and nitpick comments (6)
prediction_market_agent/agents/microchain_agent/market_functions.py (1)
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380-384: LGTM: Improved clarity in GetResolvedBetsWithOutcomes descriptionThe updated description for the
GetResolvedBetsWithOutcomesclass now clearly specifies the time frame for looking back at resolved bets. This change enhances clarity for users by providing context for then_daysparameter.Consider adding a brief explanation of what "resolved bets" means in this context to further improve clarity for users who might be unfamiliar with the term.
prediction_market_agent/agents/prophet_agent/deploy.py (2)
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39-46: Refactor duplicate code in theloadmethodsThe
loadmethods inDeployablePredictionProphetGPT4oAgent,DeployablePredictionProphetGPT4TurboPreviewAgent, andDeployablePredictionProphetGPT4TurboFinalAgentcontain similar code with minor differences in model names and parameters. To enhance maintainability and reduce code duplication, consider refactoring these methods to utilize a shared helper method or pass parameters to a common constructor.Here is an example of how you might refactor the code:
class DeployableTraderAgentER(DeployableTraderAgent): # ... existing code ... def initialize_agent( self, model_name: str, max_bet_amount: int, max_price_impact: float | None, ) -> None: self.agent = PredictionProphetAgent( model=model_name, include_reasoning=True, tavily_storage=TavilyStorage(agent_id=self.__class__.__name__), logger=logger, ) self.betting_strategy = KellyBettingStrategy( max_bet_amount=max_bet_amount, max_price_impact=max_price_impact, ) class DeployablePredictionProphetGPT4oAgent(DeployableTraderAgentER): bet_on_n_markets_per_run = 20 def load(self) -> None: super().load() self.initialize_agent( model_name="gpt-4o-2024-08-06", max_bet_amount=5, max_price_impact=0.7, ) # Apply similar changes in the other subclassesAlso applies to: 56-63, 73-80
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35-35: Inconsistent setting ofbet_on_n_markets_per_runacross agentsThe
bet_on_n_markets_per_runattribute is set to20inDeployablePredictionProphetGPT4oAgentbut is not defined in other agent classes. To maintain consistency and clarity, consider definingbet_on_n_markets_per_runfor all agent subclasses or documenting why it differs among agents.Also applies to: 51-51, 67-67, 83-83
prediction_market_agent/agents/think_thoroughly_agent/think_thoroughly_agent.py (3)
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172-184: Typo in method name: 'get_hypohetical_scenarios' should be 'get_hypothetical_scenarios'The method name
get_hypohetical_scenariosis misspelled. Correcting it toget_hypothetical_scenariosimproves code readability and prevents potential confusion.Apply this diff to correct the method name:
-def get_hypohetical_scenarios(self, question: str) -> Scenarios: +def get_hypothetical_scenarios(self, question: str) -> Scenarios:Also, update all references to this method accordingly:
- hypothetical_scenarios = self.get_hypohetical_scenarios(question) + hypothetical_scenarios = self.get_hypothetical_scenarios(question)
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469-470: Typographical error in comment: 'pickable' should be 'pickleable'In the comment, the word 'pickable' should be 'pickleable' to correctly refer to the ability of an object to be serialized using the pickle module.
Apply this diff to fix the typographical error:
-# Needs to be a normal function outside of class, because `lambda` and `self` aren't pickable for processpool executor, +# Needs to be a normal function outside of class, because `lambda` and `self` aren't pickleable for processpool executor,
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410-415: Avoid catching broad exceptionsCatching all exceptions with a bare
except Exceptioncan mask unexpected errors and make debugging difficult. It's better to catch specific exceptions that are anticipated.Specify the exceptions you expect, for example:
- except Exception as e: + except (APIError, HTTPError, SomeSpecificException) as e:Replace
SomeSpecificExceptionwith any other specific exception types you expect might occur.
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⛔ Files ignored due to path filters (2)
poetry.lockis excluded by!**/*.lock,!**/*.lockpyproject.tomlis excluded by!**/*.toml
📒 Files selected for processing (4)
- prediction_market_agent/agents/microchain_agent/market_functions.py (1 hunks)
- prediction_market_agent/agents/prophet_agent/deploy.py (1 hunks)
- prediction_market_agent/agents/think_thoroughly_agent/think_thoroughly_agent.py (1 hunks)
- prediction_market_agent/tools/prediction_prophet/research.py (1 hunks)
✅ Files skipped from review due to trivial changes (1)
- prediction_market_agent/tools/prediction_prophet/research.py
🧰 Additional context used
🔇 Additional comments (5)
prediction_market_agent/agents/microchain_agent/market_functions.py (4)
19-19: LGTM: Import statement update for TavilyStorageThe change in the import statement for
TavilyStoragealigns with similar updates in other files, reflecting a broader restructuring of the module organization. This modification improves code organization and potentially reduces import complexity.
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132-133: LGTM: Improved error handling in PredictProbabilityForQuestionThe addition of a check for
prediction.outcome_predictionbeingNoneand raising aValueErrorin such cases is a valuable improvement. This change enhances error handling by ensuring that a failed prediction is explicitly communicated, preventing silent failures and improving the overall robustness of the code.
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220-226: LGTM: Enhanced transaction reliability in BuyTokens and SellTokensThe additions to the
BuyTokensandSellTokensclasses improve the reliability of token transactions:
- The account balance check prevents transactions that would fail due to insufficient funds.
- The
withdraw_wxdai_to_xdai_to_keep_balancecall for OMEN markets ensures proper token balance management.These changes enhance the overall consistency and reliability of token transactions across different market types.
Also applies to: 321-325
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1-424: Overall assessment: Improvements in error handling, reliability, and documentationThe changes in this file consistently enhance the code quality through:
- Improved error handling in the
PredictProbabilityForQuestionclass.- Enhanced transaction reliability in the
BuyTokensandSellTokensclasses.- Better documentation in the
GetResolvedBetsWithOutcomesclass.- Consistent import restructuring.
These modifications align with best practices and contribute to a more robust and maintainable codebase.
prediction_market_agent/agents/prophet_agent/deploy.py (1)
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70-74: Ensure handling ofmax_price_impactwhen set toNoneIn
DeployablePredictionProphetGPT4TurboFinalAgent, theget_betting_strategymethod setsmax_price_impacttoNone:def get_betting_strategy(self, market: AgentMarket) -> BettingStrategy: return KellyBettingStrategy(max_bet_amount=5, max_price_impact=None)Please confirm that setting
max_price_impacttoNoneis intentional and that theKellyBettingStrategyand any downstream code can handle aNonevalue without causing errors or unintended behavior.
| from prediction_market_agent_tooling.tools.tavily_storage.tavily_models import ( | ||
| TavilyStorage, | ||
| ) | ||
| from prediction_market_agent_tooling.tools.tavily.tavily_storage import TavilyStorage |
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💡 Codebase verification
Invalid Import Path: prediction_market_agent_tooling.tools.tavily.tavily_storage Does Not Exist
The module prediction_market_agent_tooling.tools.tavily.tavily_storage does not exist, and TavilyStorage is not defined within it. Please verify and correct the import path or ensure that the tavily_storage module is created with the appropriate definition of TavilyStorage.
- File Affected:
prediction_market_agent/agents/prophet_agent/deploy.py
🔗 Analysis chain
Verify the updated import path for TavilyStorage
Ensure that the module prediction_market_agent_tooling.tools.tavily.tavily_storage exists and that TavilyStorage is correctly defined within it. This change reflects a module reorganization; verify that all references to TavilyStorage are updated accordingly throughout the codebase.
Run the following script to confirm the existence of TavilyStorage in the new import path:
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify that TavilyStorage is accessible from the new import path.
# Test: Search for the definition of TavilyStorage in the codebase.
rg -A 5 'class TavilyStorage'
# Expected: Should find the class definition of TavilyStorage in the correct module file.
Length of output: 31
Script:
#!/bin/bash
# Description: Search for any definition of TavilyStorage in the codebase.
ast-grep --pattern $'$_ TavilyStorage($_)' --language python
Length of output: 250
Script:
#!/bin/bash
# Description: Verify the existence of the module path prediction_market_agent_tooling.tools.tavily.tavily_storage.
fd 'tavily_storage.py' .
Length of output: 24
Script:
#!/bin/bash
# Description: Corrected search for any definition of TavilyStorage in the codebase.
ast-grep --pattern $'$_ TavilyStorage($_)' --lang python
Length of output: 500
Script:
#!/bin/bash
# Description: Enhanced search for files related to tavily_storage in the codebase.
fd -i 'tavily_storage' .
Length of output: 24
Script:
#!/bin/bash
# Description: Search for any references to TavilyStorage in the codebase.
rg 'TavilyStorage'
Length of output: 1806
Script:
#!/bin/bash
# Description: List all files in the tavily directory to verify the existence of tavily_storage.py.
ls prediction_market_agent_tooling/tools/tavily/
Length of output: 143
Script:
#!/bin/bash
# Description: Search for any definitions of TavilyStorage (class, function, variable) in the codebase.
rg '^\s*(class|def)\s+TavilyStorage\b' --context 2
Length of output: 52
Script:
#!/bin/bash
# Description: Verify the directory structure for the TavilyStorage import path.
ls prediction_market_agent_tooling/tools/tavily/
Length of output: 143
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