Save more detailed bet details in strategy simulation script #429
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WalkthroughThe changes introduce a new betting strategy, Changes
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Actionable comments posted: 3
Outside diff range and nitpick comments (2)
examples/monitor/match_bets_with_langfuse_traces.py (2)
158-159: Use logging instead of print statements for better maintainability.Printing to stdout may not be appropriate for long-running scripts or production environments. Consider using the
loggingmodule to provide configurable log levels and outputs.Apply this diff to use the logging module:
+import logging ... if len(bets_with_traces) != len(bets): - print( + logging.warning( f"{len(bets) - len(bets_with_traces)} bets do not have a corresponding trace, ignoring them." )Ensure you configure the logging at the beginning of your script:
import logging logging.basicConfig(level=logging.INFO)
Line range hint
200-212: Handle division by zero when calculating ROI to prevent runtime errors.If
total_bet_amountortotal_simulated_amountis zero, calculating ROI will raise aZeroDivisionError. Ensure you handle cases where no bets were made to prevent exceptions.Apply this diff to handle zero bet amounts:
total_bet_amount = sum([bt.bet.amount.amount for bt in bets_with_traces]) total_bet_profit = sum([bt.bet.profit.amount for bt in bets_with_traces]) total_simulated_amount = sum([so.size for so in simulated_outcomes]) total_simulated_profit = sum([so.profit for so in simulated_outcomes]) - roi = 100 * total_bet_profit / total_bet_amount - simulated_roi = 100 * total_simulated_profit / total_simulated_amount + roi = 100 * total_bet_profit / total_bet_amount if total_bet_amount != 0 else 0.0 + simulated_roi = 100 * total_simulated_profit / total_simulated_amount if total_simulated_amount != 0 else 0.0
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- examples/monitor/match_bets_with_langfuse_traces.py (5 hunks)
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examples/monitor/match_bets_with_langfuse_traces.py (1)
105-105: Verify the impact of increasingmax_bet_amountto 250.Adding
KellyBettingStrategy(max_bet_amount=250)significantly increases the maximum bet amount compared to the existing values (1, 2, 25). Ensure this change aligns with your simulation goals and that the system can handle larger bet amounts without unintended side effects.Run the following script to check for any hardcoded limitations or potential issues with large bet amounts:
Verification successful
No hardcoded limitations found for
max_bet_amount. Increasing it to 250 aligns with simulation goals and should not introduce unintended side effects.Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Search for any hardcoded limitations on bet amounts in the codebase. # Test: Find instances where bet amounts are compared to values less than 250. rg --type py 'bet_amount.*[<>]=?.*\b(25|100|200)\b' # Expected Result: No hardcoded limits that prevent bet amounts from exceeding 250.Length of output: 53
Script:
#!/bin/bash # Description: Search for any hardcoded numerical limits on `bet_amount` in the codebase. # Test: Find instances where `bet_amount` is compared to any numerical value. rg --type py 'bet_amount\s*[<>]=?\s*\b\d+\b' # Additionally, search for assignments to `max_bet_amount` to identify potential constraints. ast-grep --lang python --pattern $'max_bet_amount = $_' --path '**/*.py'Length of output: 465
Script:
#!/bin/bash # Description: Search for assignments to `max_bet_amount` in the codebase. # Corrected ast-grep command to find assignments to `max_bet_amount`. ast-grep --lang python --pattern $'max_bet_amount = $_' '**/*.py' # Search for any comparisons or validations involving `max_bet_amount`. ast-grep --lang python --pattern $'if $_max_bet_amount $_operator $_value:' '**/*.py' # Additionally, search for any usage of `max_bet_amount` in calculations or functions. rg --type py 'max_bet_amount\s*[\+\-\*/%=]'Length of output: 2291
| overall_md += ( | ||
| f"\n\n## {agent_name}\n\n{len(simulations)} bets\n\n" | ||
| + pd.DataFrame.from_records(simulations).to_markdown(index=False) | ||
| ) |
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Correct the number of bets displayed in the overall report.
Using len(simulations) represents the number of strategies simulated, not the number of bets placed. To display the correct number of bets, use len(bets_with_traces).
Apply this diff to correct the displayed number of bets:
overall_md += (
- f"\n\n## {agent_name}\n\n{len(simulations)} bets\n\n"
+ f"\n\n## {agent_name}\n\n{len(bets_with_traces)} bets\n\n"
+ pd.DataFrame.from_records(simulations).to_markdown(index=False)
)Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| overall_md += ( | |
| f"\n\n## {agent_name}\n\n{len(simulations)} bets\n\n" | |
| + pd.DataFrame.from_records(simulations).to_markdown(index=False) | |
| ) | |
| overall_md += ( | |
| f"\n\n## {agent_name}\n\n{len(bets_with_traces)} bets\n\n" | |
| + pd.DataFrame.from_records(simulations).to_markdown(index=False) | |
| ) |
| pd.DataFrame.from_records(details).to_csv( | ||
| f"{agent_name} - {strategy} - all bets.csv", index=False | ||
| ) |
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Sanitize file names to prevent invalid characters.
Using str(strategy) in file names may introduce characters invalid in file systems (e.g., <, >, /, :). This can cause errors when saving CSV files. Consider sanitizing the strategy representation to ensure file names are valid.
Apply this diff to sanitize the file names:
+ import re
+ strategy_name = re.sub(r'[<>:"/\\|?*]', '_', str(strategy))
+ filename = f"{agent_name}_{strategy_name}_all_bets.csv"
pd.DataFrame.from_records(details).to_csv(
- f"{agent_name} - {strategy} - all bets.csv", index=False
+ filename, index=False
)Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| pd.DataFrame.from_records(details).to_csv( | |
| f"{agent_name} - {strategy} - all bets.csv", index=False | |
| ) | |
| import re | |
| strategy_name = re.sub(r'[<>:"/\\|?*]', '_', str(strategy)) | |
| filename = f"{agent_name}_{strategy_name}_all_bets.csv" | |
| pd.DataFrame.from_records(details).to_csv( | |
| filename, index=False | |
| ) |
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