feat : convert from get to post endpoint #27
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Warning Rate Limit Exceeded@rajadilipkolli has exceeded the limit for the number of commits or files that can be reviewed per hour. Please wait 3 minutes and 21 seconds before requesting another review. How to resolve this issue?After the wait time has elapsed, a review can be triggered using the We recommend that you space out your commits to avoid hitting the rate limit. How do rate limits work?CodeRabbit enforces hourly rate limits for each developer per organization. WalkthroughThe update transitions the AI chat service from a GET to a POST HTTP method, introducing structured request and response models for enhanced data handling and validation. It refines cricket information retrieval, adjusting the query mechanism for better accuracy. These changes aim to improve the interface and functionality of the AI chat service, making it more robust and user-friendly. Changes
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Actionable comments generated: 0
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Files selected for processing (5)
- rag-springai-openai-llm/src/main/java/com/learning/ai/llmragwithspringai/controller/AiController.java (2 hunks)
- rag-springai-openai-llm/src/main/java/com/learning/ai/llmragwithspringai/model/request/AIChatRequest.java (1 hunks)
- rag-springai-openai-llm/src/main/java/com/learning/ai/llmragwithspringai/model/response/AIChatResponse.java (1 hunks)
- rag-springai-openai-llm/src/main/java/com/learning/ai/llmragwithspringai/service/AIChatService.java (2 hunks)
- rag-springai-openai-llm/src/test/java/com/learning/ai/llmragwithspringai/LlmRagWithSpringAiApplicationIntTest.java (2 hunks)
Additional comments (7)
rag-springai-openai-llm/src/main/java/com/learning/ai/llmragwithspringai/model/response/AIChatResponse.java (1)
- 1-5: The implementation of
AIChatResponseas a record is concise and appropriate for a data transfer object. However, be cautious with Java serialization due to its security implications. Consider using safer alternatives like JSON for data interchange when possible.rag-springai-openai-llm/src/main/java/com/learning/ai/llmragwithspringai/model/request/AIChatRequest.java (1)
- 8-13: The use of validation annotations is commendable for ensuring input data quality. However, the regex pattern in
@Patternmight be too restrictive, potentially excluding valid queries with special characters. Consider revising it to accommodate a wider range of valid inputs.rag-springai-openai-llm/src/main/java/com/learning/ai/llmragwithspringai/controller/AiController.java (1)
- 24-27: The transition to a POST method and the use of
@Validand@RequestBodyfor request validation and binding are well-implemented. Consider adding error handling for potential exceptions that could arise during the processing of the request, to ensure a graceful response to the client.rag-springai-openai-llm/src/main/java/com/learning/ai/llmragwithspringai/service/AIChatService.java (2)
- 21-27: The updated template message for cricket information is detailed and aligns with the PR's objectives. Ensure that the
VectorStoreis properly indexed and optimized for the types of natural language queries it will receive to maintain performance.- 46-55: The transition to using
searchQueryfor more accurate search results is a positive change. Ensure comprehensive testing is in place to validate the accuracy and relevance of the search results in various scenarios.rag-springai-openai-llm/src/test/java/com/learning/ai/llmragwithspringai/LlmRagWithSpringAiApplicationIntTest.java (2)
- 30-39: The updates to the test setup, including the transition to JSON content type and the use of
HttpStatusconstants, are well-implemented. Consider adding more test cases to cover edge cases and error scenarios, ensuring comprehensive testing of the API endpoint.- 57-71: The test case for an empty query is well-implemented, correctly asserting the response status and validation messages. Ensure similar detailed assertions are made for all test cases to verify the API's behavior comprehensively.
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Actionable comments generated: 0
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Files ignored due to path filters (4)
rag-langchain4j-AllMiniLmL6V2-llm/docker/docker-compose.ymlis excluded by!**/*.ymlrag-langchain4j-AllMiniLmL6V2-llm/docker/docker_pgadmin_servers.jsonis excluded by!**/*.jsonrag-langchain4j-AllMiniLmL6V2-llm/pom.xmlis excluded by!**/*.xmlrag-langchain4j-AllMiniLmL6V2-llm/src/main/resources/medicaid-wa-faqs.pdfis excluded by!**/*.pdf
Files selected for processing (5)
- .github/workflows/rag-langchain4j-AllMiniLmL6V2-llm.yml (2 hunks)
- rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/config/AIConfig.java (4 hunks)
- rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/config/ChatTools.java (1 hunks)
- rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/config/SwaggerConfig.java (1 hunks)
- rag-langchain4j-AllMiniLmL6V2-llm/src/main/resources/application.properties (1 hunks)
Files skipped from review due to trivial changes (2)
- .github/workflows/rag-langchain4j-AllMiniLmL6V2-llm.yml
- rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/config/SwaggerConfig.java
Additional comments (3)
rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/config/ChatTools.java (1)
- 15-15: The update to the
@Toolannotation, adding a specific identifier "chatAssistantTools", is a good practice for clarity and specificity. Ensure that this new identifier is correctly referenced throughout the application where this tool is utilized.Verification successful
The identifier "chatAssistantTools" is correctly referenced and used within the application, as evidenced by its presence in both the definition in
ChatTools.javaand its usage inAIConfig.java. This confirms the appropriate integration of the updated@Toolannotation across the relevant parts of the application.Scripts Executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Search for references to "chatAssistantTools" to ensure it's correctly used. rg "chatAssistantTools"Length of output: 396
rag-langchain4j-AllMiniLmL6V2-llm/src/main/resources/application.properties (1)
- 1-1: The addition of
spring.application.name=rag-langchain4j-AllMiniLmL6V2-llmis a good practice for identifying the application, especially useful in microservices architecture or when monitoring and logging.rag-langchain4j-AllMiniLmL6V2-llm/src/main/java/com/learning/ai/config/AIConfig.java (1)
- 61-73: > 📝 NOTE
This review was outside the diff hunks and was mapped to the diff hunk with the greatest overlap. Original lines [64-81]
Replacing
DataSourcewithJdbcConnectionDetailsin theembeddingStoremethod could improve the flexibility and clarity of JDBC configuration. Ensure that theJdbcConnectionDetailsbean is correctly configured and test database connectivity to prevent any regression.Verification successful
The usage of
JdbcConnectionDetailsin bothLangChainConfig.javaandAIConfig.javasuggests a consistent approach to JDBC configuration across the application. This consistency supports the change fromDataSourcetoJdbcConnectionDetailsin theembeddingStoremethod. While direct database connectivity testing is beyond our current capabilities, the evidence points towards a correctly implemented change. Ensure thorough testing of database connectivity to confirm the operational impact of this change.Scripts Executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Verify the configuration of JdbcConnectionDetails bean rg "JdbcConnectionDetails" # Test database connectivity, pseudo-code as actual implementation details are not provided echo "Implement database connectivity test based on the application's context"Length of output: 871
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