Denodo integration for multimodal trading bot #19
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Related to #18 Add Denodo integration to the repository. * **Denodo Integration Module** - Add `denodo_integration.py` to establish Denodo connection using `jaydebeapi` or `pyodbc`. - Implement utility functions for executing queries and retrieving results. - Include error handling and logging for connection and query issues. * **Configuration Updates** - Update `config/api_config.py` to include Denodo-related configurations and headers. - Update `config/config.py` to include Denodo configurations in the main configuration settings. - Add Denodo-related environment variables to `.env`. * **Main Application Changes** - Update `main.py` to initialize Denodo connection and utilize it for data retrieval and processing. - Add Denodo query execution in the asynchronous data processing function. * **Dependencies** - Update `requirements.txt` to include `jaydebeapi` and `pyodbc` libraries for Denodo integration.
WalkthroughThis pull request introduces comprehensive Denodo API integration for the multimodal trading bot. The changes include adding new environment variables, updating configuration files, creating a new Changes
Sequence DiagramsequenceDiagram
participant Main as Main Application
participant Denodo as DenodoIntegration
participant Database as Denodo Database
Main->>Denodo: Initialize Connection
Denodo->>Database: Establish JDBC Connection
Database-->>Denodo: Connection Confirmed
Main->>Denodo: Execute Query
Denodo->>Database: Send SQL Query
Database-->>Denodo: Return Query Results
Denodo-->>Main: Provide Query Results
Possibly related issues
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Actionable comments posted: 0
🧹 Nitpick comments (10)
main.py (3)
89-92: Add query parameterization for security
Currently, the query string is hard-coded ("SELECT * FROM your_table"). Consider allowing dynamic queries or at least passing them with parameter placeholders if user-supplied input is ever used, to avoid SQL injection.- denodo_query_task = asyncio.create_task(denodo_integration.execute_query("SELECT * FROM your_table")) + sample_query = "SELECT * FROM your_table WHERE column_name = ?" + query_params = ["some_filter_value"] + denodo_query_task = asyncio.create_task(denodo_integration.execute_query(sample_query, query_params))
122-126: Observe data size constraints
Logging and sending large result sets from Denodo could lead to performance problems and cluttered logs. Consider summarizing or filtering the data before logging and notification.
175-175: Defer connection until usage to handle failures gracefully
TheDenodoIntegrationconstructor immediately attempts to connect. For reliability, consider deferring connection or handling failures in a separate step. This ensures that other components can still initialize even if Denodo is unavailable.- denodo_integration = DenodoIntegration() + denodo_integration = DenodoIntegration() + # Potentially call denodo_integration.connect() before actual query usagedenodo_integration.py (4)
1-16: Consolidate logging settings
Although setting up logging here is fine, you could unify logging under a common logger config to keep logging levels and handlers consistent application-wide. This avoids potentially duplicated logging configurations.
17-22: Reassess immediate connection in constructor
Connecting to Denodo in__init__can lead to exceptions when the class is first instantiated, making partial initialization tricky. Consider a lazy connection approach or a separate init method to handle connection attempts.
45-56: Consider handling large results or streaming
execute_queryusesfetchall()which can cause high memory usage if returning large datasets. For large tables, consider a streaming or chunk-based approach to avoid memory overflows.
57-66: Use context managers for graceful cleanup
close()is implemented properly, but consider Python context managers (withstatements) to automatically manage resource acquisition and release when using DenodoIntegration.-def close(self): +def __exit__(self, exc_type, exc_val, exc_tb): # Implement a context manager approachconfig/config.py (1)
24-29: Consider type conversion for Denodo port
Currently,denodo_portis read as a string. If the port value is used numerically (e.g., in a different driver), a direct integer conversion might be beneficial.- "denodo_port": os.getenv("DENODO_PORT"), + "denodo_port": int(os.getenv("DENODO_PORT", "9999")),config/api_config.py (1)
37-44: Double-check duplication across config files
You define Denodo params both here and inconfig/config.py. Ensure that you have a consistent source of truth or unify these references to avoid misconfiguration..env (1)
46-53: Avoid committing real credentials
Adding Denodo credentials and driver references to.envis fine for local development. However, ensure these are excluded from version control and managed securely in production.
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📒 Files selected for processing (6)
.env(1 hunks)config/api_config.py(3 hunks)config/config.py(1 hunks)denodo_integration.py(1 hunks)main.py(7 hunks)requirements.txt(1 hunks)
✅ Files skipped from review due to trivial changes (1)
- requirements.txt
🔇 Additional comments (7)
main.py (4)
25-25: Ensure consistent usage of DenodoIntegration imports
Importing DenodoIntegration here is appropriate, but make sure that all references to this class across the codebase are consistent and that no parallel import statements exist in other modules.
38-44: Check alignment with .env structure
You have introduced new environment variables related to Denodo. Ensure they are thoroughly documented and consistent with your .env file, and verify that sensitive information (like passwords) is never logged.
71-72: Maintain consistency with function parameters
The new parameter denodo_integration: DenodoIntegration complements the other dependencies in process_market_data. Confirm that all necessary dependencies for Denodo queries are passed in, and keep an eye on potential function bloat over time.
199-200: Validate Denodo usage at WebSocket callback
When passing denodo_integration to on_message, confirm that reconnections or exception handling occur appropriately if Denodo is temporarily offline or the connection is lost.
denodo_integration.py (1)
23-44: Ensure robust exception handling & driver management
Within connect(), you have good exception handling and logging. Pay attention to the possibility of handling specific exceptions from jaydebeapi or the Denodo driver to provide more actionable error messages.
config/api_config.py (2)
95-103: Confirm Denodo authentication standard
Using Bearer {username}:{password} in denodo_headers might not align with typical Denodo JDBC or HTTP header patterns. Verify that the service expects these credentials in the header in this exact format.
134-138: Keep environment variables in sync
get_denodo_endpoint() returns a JDBC URL, but if your code uses the environment variables differently for jaydebeapi.connect(), ensure you keep them aligned to avoid contradictory configurations.
Related to #18
Add Denodo integration to the repository.
Denodo Integration Module
denodo_integration.pyto establish Denodo connection usingjaydebeapiorpyodbc.Configuration Updates
config/api_config.pyto include Denodo-related configurations and headers.config/config.pyto include Denodo configurations in the main configuration settings..env.Main Application Changes
main.pyto initialize Denodo connection and utilize it for data retrieval and processing.Dependencies
requirements.txtto includejaydebeapiandpyodbclibraries for Denodo integration.Summary by CodeRabbit
New Features
Dependencies
jaydebeapiandpyodbclibraries for database connectivityConfiguration