Add some docs and remove dead code #559
Conversation
WalkthroughThe changes in this pull request primarily involve modifications to the Changes
Possibly related PRs
Suggested reviewers
Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media? 🪧 TipsChatThere are 3 ways to chat with CodeRabbit:
Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments. CodeRabbit Commands (Invoked using PR comments)
Other keywords and placeholders
CodeRabbit Configuration File (
|
![coderabbitai[bot]](https://avatars.githubusercontent.com/in/347564?s=60&v=4){kind=small}
There was a problem hiding this comment.
Actionable comments posted: 3
🧹 Outside diff range and nitpick comments (2)
tests_integration_with_local_chain/deploy/test_deploy.py (1)
Line range hint
8-16: Consider adding a docstring to document test purpose and parametersThe test function would benefit from documentation explaining its purpose, parameters, and expected behavior.
def test_local_deployment(local_web3: Web3) -> None: + """Test local deployment of CoinFlipAgent with mocked web3. + + Args: + local_web3 (Web3): Web3 instance for local testing + + Tests that agent deploys successfully with minimal run and sleep times + for efficient testing. + """ with patch.object(ContractBaseClass, "get_web3", return_value=local_web3):prediction_market_agent_tooling/deploy/agent.py (1)
282-282: UpdateAGENT_TAGto reflect the suggested enum change.If
AgentTagEnumis updated to usePREDICTOR, adjustAGENT_TAGaccordingly for consistency.
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (2)
prediction_market_agent_tooling/deploy/agent.py(13 hunks)tests_integration_with_local_chain/deploy/test_deploy.py(1 hunks)
🔇 Additional comments (17)
tests_integration_with_local_chain/deploy/test_deploy.py (1)
15-15: LGTM! Parameter rename improves clarity
The rename from timeout to run_time better reflects the parameter's purpose as the intended duration of the deployment rather than an error condition.
prediction_market_agent_tooling/deploy/agent.py (16)
11-11: Import of computed_field is appropriate.
Adding computed_field from pydantic is necessary for computed properties.
99-101: Docstring addition improves class documentation.
Adding a docstring to DeployableAgent enhances understanding of the class's purpose.
163-167: Docstring in load method provides clarity.
Providing instructions in the load method's docstring guides subclass implementations.
173-177: Docstring update reflects method changes accurately.
Explaining the usage of run_time in deploy_local helps in understanding the method's behavior.
197-199: Docstring addition enhances method documentation.
Including a docstring for deploy_gcp clarifies its functionality and usage.
266-268: Docstring addition improves method clarity.
Documenting the run method helps subclass developers understand the requirement to implement this method.
276-280: Docstring addition enhances class comprehension.
Providing a description for DeployablePredictionAgent aids in understanding its role and usage.
334-334: Utilizing self.AGENT_TAG improves flexibility.
Refactoring to use self.AGENT_TAG instead of hardcoded values enhances extensibility for different agent types.
392-394: Docstring addition to get_markets method is beneficial.
Adding documentation aids in understanding how to customize market fetching.
408-410: Docstring clarifies the purpose of before_process_market.
Explaining this method assists in customizing pre-processing behavior.
454-456: Docstring addition to after_process_market enhances clarity.
Providing information about post-processing steps aids maintainability.
469-471: Docstring in before_process_markets improves understanding.
Describing this hook method helps in extending functionality before processing markets.
500-502: Docstring addition to after_process_markets is helpful.
Clarifying the method's execution context assists developers in implementing custom logic post-market processing.
515-519: Docstring enhances comprehension of DeployableTraderAgent.
Documenting the class provides clear guidance on its purpose and functionality.
521-522: Setting AGENT_TAG aligns with agent classification.
Assigning AGENT_TAG to AgentTagEnum.TRADER correctly categorizes the agent.
562-566: Docstring addition to get_betting_strategy clarifies customization.
Providing documentation aids in understanding how to adjust the betting strategy.
| class AgentTagEnum(str, Enum): | ||
| PREDICTIONER = "predictioner" | ||
| TRADER = "trader" | ||
|
|
There was a problem hiding this comment.
🛠️ Refactor suggestion
Consider renaming PREDICTIONER to PREDICTOR for clarity.
The term PREDICTIONER is unconventional and may cause confusion. Using PREDICTOR is more standard and enhances readability.
| while run_time is not None and time.time() - start_time > run_time: | ||
| self.run(market_type=market_type) | ||
| time.sleep(sleep_time) |
There was a problem hiding this comment.
Fix the logical error in the while loop condition.
The condition time.time() - start_time > run_time causes the loop to exit immediately. It should be time.time() - start_time < run_time to run until run_time is reached.
Apply this diff to correct the condition:
- while run_time is not None and time.time() - start_time > run_time:
+ while run_time is not None and time.time() - start_time < run_time:📝 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.
| while run_time is not None and time.time() - start_time > run_time: | |
| self.run(market_type=market_type) | |
| time.sleep(sleep_time) | |
| while run_time is not None and time.time() - start_time < run_time: | |
| self.run(market_type=market_type) | |
| time.sleep(sleep_time) |
Handle run_time being None to allow indefinite execution.
If run_time is None, the loop does not execute. To run indefinitely when run_time is None, adjust the condition.
Apply this diff to handle run_time being None:
- while run_time is not None and time.time() - start_time < run_time:
+ while run_time is None or time.time() - start_time < run_time:This change allows the agent to run indefinitely if run_time is None.
📝 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.
| while run_time is not None and time.time() - start_time > run_time: | |
| self.run(market_type=market_type) | |
| time.sleep(sleep_time) | |
| while run_time is None or time.time() - start_time < run_time: | |
| self.run(market_type=market_type) | |
| time.sleep(sleep_time) |
There was a problem hiding this comment.
Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (1)
prediction_market_agent_tooling/deploy/agent.py (1)
99-101: Consider enhancing docstrings with more details.While the docstrings provide basic information, they could be more helpful by including:
- Parameter descriptions
- Return type descriptions
- Example usage where applicable
Example enhancement for
deploy_local:def deploy_local( self, market_type: MarketType, sleep_time: float, run_time: float | None, ) -> None: """ - Run the agent in the forever cycle every `sleep_time` seconds, until the `run_time` is met. + Run the agent in a continuous cycle until the specified runtime is reached. + + Args: + market_type: The type of market to process + sleep_time: Time to wait between iterations in seconds + run_time: Total runtime in seconds, or None for infinite runtime + + Returns: + None """Also applies to: 163-167, 175-177, 266-268, 276-280, 515-519
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (1)
prediction_market_agent_tooling/deploy/agent.py(13 hunks)
🔇 Additional comments (4)
prediction_market_agent_tooling/deploy/agent.py (4)
93-96: LGTM! Well-structured enum for agent classification.
The AgentTagEnum provides a clean way to classify agents and is used consistently throughout the codebase.
172-179: LGTM! Improved loop condition and parameter naming.
The changes address the previous review comments by:
- Fixing the loop condition to run until
run_timeis reached - Renaming
timeouttorun_timefor better clarity
282-282: LGTM! Clean implementation of agent tagging.
The agent tag implementation provides a consistent way to classify and monitor different types of agents through Langfuse traces.
Also applies to: 334-340, 521-521
562-566: LGTM! Clear documentation of betting strategy customization.
The docstring clearly explains the purpose and customization point for subclasses.
No description provided.