-
Notifications
You must be signed in to change notification settings - Fork 7
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Use PMAT from Pypi #30
Conversation
WalkthroughThe updates across various files primarily focus on reorganizing import statements due to module restructuring, specifically moving from Changes
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 as PR comments)
Additionally, you can add CodeRabbit Configration File (
|
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Review Status
Actionable comments generated: 0
Configuration used: CodeRabbit UI
Files ignored due to path filters (2)
poetry.lock
is excluded by:!**/*.lock
pyproject.toml
is excluded by:!**/*.toml
Files selected for processing (13)
- main.py (3 hunks)
- prediction_market_agent/agents/abstract.py (1 hunks)
- prediction_market_agent/agents/always_yes.py (1 hunks)
- prediction_market_agent/agents/autogen_agent.py (1 hunks)
- prediction_market_agent/agents/crewai_agent.py (1 hunks)
- prediction_market_agent/agents/custom_agent.py (2 hunks)
- prediction_market_agent/agents/langchain_agent.py (2 hunks)
- prediction_market_agent/agents/llamaindex_agent.py (1 hunks)
- prediction_market_agent/agents/metagpt_agent.py (1 hunks)
- prediction_market_agent/tools/betting_strategies.py (4 hunks)
- prediction_market_agent/tools/google_search.py (1 hunks)
- prediction_market_agent/utils.py (2 hunks)
- tests/tools/test_betting_strategies.py (3 hunks)
Additional comments: 12
prediction_market_agent/agents/always_yes.py (1)
- 1-1: The update to the import statement correctly reflects the new location of
AgentMarket
, ensuring theAlwaysYesAgent
class can utilize it as intended.prediction_market_agent/agents/abstract.py (1)
- 1-1: The update to the import statement in
abstract.py
is correctly implemented, ensuring that subclasses ofAbstractAgent
can utilizeAgentMarket
as intended.prediction_market_agent/tools/google_search.py (1)
- 7-7: The update to use
serp_api_key
for the API key parameter in thegoogle_search
function enhances clarity and consistency with theutils.APIKeys
class.prediction_market_agent/agents/langchain_agent.py (2)
- 3-3: The update to the import statement in
langchain_agent.py
correctly reflects the new location ofAgentMarket
.- 16-18: The modification in the
load_tools
function call to useserpapi_api_key
aligns with the updated naming convention in theutils.APIKeys
class, enhancing clarity and consistency.prediction_market_agent/utils.py (3)
- 16-16: The removal of type ignore comments and formatting adjustments in the
serp_api_key
property improve code readability and maintainability.- 22-22: The removal of type ignore comments and formatting adjustments in the
openai_api_key
property enhance code readability and maintainability.- 37-37: The logic in the
parse_result_to_boolean
function is correctly implemented, providing a clear and concise way to convert a string result into a boolean value.prediction_market_agent/tools/betting_strategies.py (4)
- 9-11: The import statements have been updated to reflect the new location of
OmenAgentMarket
and the functionomen_calculate_buy_amount
. This change aligns with the PR objectives to update import paths following the reorganization within the PMAT package. Ensure that all references to these entities throughout the codebase have been updated accordingly.- 61-61: The replacement of
OmenMarket
withOmenAgentMarket
viaOmenAgentMarket.from_data_model(market)
is a significant change. This adjustment is presumably made to align with the updated structure of the PMAT package. It's crucial to verify thatOmenAgentMarket.from_data_model
correctly transforms anOmenMarket
instance into anOmenAgentMarket
instance, preserving all necessary data and properties for subsequent operations.- 103-103: The change in how the
market
object is passed toomen_calculate_buy_amount
asmarket_agent
is noted. This modification likely reflects the updated usage and expectations within the PMAT package. It's important to ensure thatomen_calculate_buy_amount
is fully compatible with receiving anOmenAgentMarket
instance and that this change does not affect the function's behavior or expected outcomes.Verification successful
The findings confirm that
omen_calculate_buy_amount
is called with amarket
parameter, which is consistent with the change noted in the review comment. This suggests that the function is expected to handle an instance ofOmenAgentMarket
, aligning with the updated usage within the package. However, without direct access to the function's definition and documentation, a full assessment of compatibility based solely on parameter naming is not definitive. The evidence supports the notion that the change is likely appropriate and aligns with expected usage patterns.* 119-119: The modification in currency display within the print statement to use `market_agent.currency` is a minor but important change for consistency and clarity in user-facing messages. This adjustment ensures that the currency displayed matches the market's currency, enhancing the user experience. It's a good practice to ensure that all user-facing messages are consistent and clear regarding currency and other financial information.Scripts Executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Verify the compatibility of omen_calculate_buy_amount with OmenAgentMarket instances. ast-grep --lang python --pattern $'omen_calculate_buy_amount($_, market_agent=$_, $_, $_)'Length of output: 91
Script:
#!/bin/bash # Search for any usage of omen_calculate_buy_amount to understand its context and parameters. ast-grep --lang python --pattern $'omen_calculate_buy_amount($$$)'Length of output: 689
Summary by CodeRabbit