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Sub-PR theme: Update AI handler and tools to use configurable temperature settings
Relevant files:
pr_agent/algo/ai_handlers/litellm_ai_handler.py
pr_agent/tools/pr_add_docs.py
pr_agent/tools/pr_code_suggestions.py
pr_agent/tools/pr_description.py
pr_agent/tools/pr_generate_labels.py
pr_agent/tools/pr_information_from_user.py
pr_agent/tools/pr_line_questions.py
pr_agent/tools/pr_questions.py
pr_agent/tools/pr_reviewer.py
pr_agent/tools/pr_update_changelog.py
Sub-PR theme: Add end-to-end tests for GitHub, GitLab, and Bitbucket apps
Relevant files:
tests/e2e_tests/e2e_utils.py
tests/e2e_tests/test_bitbucket_app.py
tests/e2e_tests/test_github_app.py
tests/e2e_tests/test_gitlab_webhook.py
Sub-PR theme: Update configuration settings for seed and temperature
Relevant files:
pr_agent/settings/configuration.toml
⚡ Key issues to review
Possible Bug The condition if get_settings().config.get("seed", -1) > 0 might not work as expected if seed is not set, as it defaults to -1. Consider handling the default case more explicitly.
Error Handling The error raised ValueError("Seed is not supported with temperature > 0") could be more descriptive, explaining why this configuration is not supported.
mrT23
changed the title
Add end-to-end tests for GitHub, GitLab, and Bitbucket apps; update t…
Add end-to-end tests for GitHub, GitLab, and Bitbucket apps; added seed
Jul 27, 2024
Add type checking for temperature to ensure it is numeric before comparison
Consider handling the case where temperature is not a numeric value. Since temperature is used in a comparison operation (temperature > 0), ensuring it's a valid number can prevent runtime errors.
+if not isinstance(temperature, (int, float)):+ raise TypeError("Temperature must be a numeric value")
if temperature > 0 and seed >= 0:
raise ValueError("Seed is not supported with temperature > 0")
Apply this suggestion
Suggestion importance[1-10]: 9
Why: This suggestion addresses a potential runtime error by ensuring temperature is numeric before performing a comparison. It adds robustness to the code, preventing type-related issues.
9
Enhancement
✅ Improve code efficiency by reusing the seed variable instead of fetching it multiple times from settings
The condition to raise a ValueError when temperature > 0 and seed >= 0 is correct, but the implementation could be improved by directly using the seed variable fetched from settings, rather than calling get_settings().config.seed again. This avoids multiple calls to the settings configuration, which can be more efficient and cleaner.
seed = get_settings().config.get("seed", -1)
if temperature > 0 and seed >= 0:
raise ValueError("Seed is not supported with temperature > 0")
elif seed >= 0:
get_logger().info(f"Using fixed seed of {seed}")
- kwargs["seed"] = get_settings().config.seed+ kwargs["seed"] = seed
[Suggestion has been applied]
Suggestion importance[1-10]: 8
Why: This suggestion improves code efficiency and readability by avoiding redundant calls to the settings configuration. It correctly reuses the seed variable, making the code cleaner and potentially faster.
8
✅ Enhance the error message for better clarity and debugging
The error message "Seed is not supported with temperature > 0" could be more informative by including the actual values of temperature and seed that caused the error. This can help in debugging or understanding why the error was raised during runtime.
if temperature > 0 and seed >= 0:
- raise ValueError("Seed is not supported with temperature > 0")+ raise ValueError(f"Seed ({seed}) is not supported with temperature ({temperature}) > 0")
[Suggestion has been applied]
Suggestion importance[1-10]: 7
Why: The suggestion improves the error message by including the actual values of temperature and seed, which can be helpful for debugging. This is a minor enhancement but adds value for understanding runtime errors.
7
Maintainability
Simplify the conditional logic by replacing elif with else
The elif condition seed >= 0 is redundant since it's checked in the previous if statement. You can simplify the logic by removing the elif and just using an else clause, assuming that if the first condition fails (temperature > 0 and seed >= 0), then seed must be >= 0 for the second block of code to execute.
if temperature > 0 and seed >= 0:
raise ValueError("Seed is not supported with temperature > 0")
-elif seed >= 0:+else:
get_logger().info(f"Using fixed seed of {seed}")
kwargs["seed"] = seed
Apply this suggestion
Suggestion importance[1-10]: 6
Why: The suggestion simplifies the conditional logic, making the code more readable. However, the improvement is minor as the existing code is already correct and clear.
✅ Refactor the condition to ensure mutual exclusivity of temperature and seedSuggestion Impact:The commit refactored the condition to ensure that both temperature and seed cannot be set simultaneously, which aligns with the suggestion's intention.
code diff:
+ seed = get_settings().config.get("seed", -1)+ if temperature > 0 and seed >= 0:+ raise ValueError("Seed is not supported with temperature > 0")
To ensure that the temperature and seed parameters are mutually exclusive, it's better to refactor the condition to raise an exception if both are set, rather than only checking if temperature is greater than 0.
-if temperature > 0:- raise ValueError("Seed is not supported with temperature > 0")+if temperature > 0 and get_settings().config.get("seed", 0) > 0:+ raise ValueError("Seed and temperature cannot both be set.")
Suggestion importance[1-10]: 9
Why: This suggestion ensures that both temperature and seed cannot be set simultaneously, which is a logical improvement and prevents potential runtime errors.
9
Ensure the temperature parameter does not exceed the maximum allowed value
Since the temperature parameter is now dynamically set from settings, ensure that it does not exceed the maximum allowed value to prevent errors from the AI model.
+max_temp = 1.0 # Define the maximum temperature allowed+temp = min(get_settings().config.temperature, max_temp)
response, finish_reason = await self.ai_handler.chat_completion(
- model=model, temperature=get_settings().config.temperature, system=system_prompt, user=user_prompt)+ model=model, temperature=temp, system=system_prompt, user=user_prompt)
Suggestion importance[1-10]: 7
Why: This suggestion prevents potential errors by ensuring the temperature parameter stays within acceptable limits, enhancing the reliability of the code.
7
Maintainability
Add exception handling to the await call for chat_completion
The await call should handle potential exceptions that might be thrown by the chat_completion method, especially since network calls are involved.
Why: Adding exception handling improves the robustness of the code by ensuring that any errors during the async call are logged and handled gracefully.
8
Enhancement
Simplify the condition to check the seed value
The condition checking for the seed value should directly use the get method with a default value rather than checking if the seed is greater than 0. This simplifies the code and ensures that the default value is used correctly.
Why: The suggestion simplifies the condition, but it does not significantly improve the code since the original condition is already clear and functional.
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User description
Note
it seems that zero-randomness with seed is not operational yet:
https://community.openai.com/t/seed-param-and-reproducible-output-do-not-work/487245/1
I could not achieve this either
but maybe it will be improved in the future ...
PR Type
enhancement, tests
Description
Changes walkthrough 📝
10 files
litellm_ai_handler.py
Enhance AI Handler with Seed and Temperature Handling
pr_agent/algo/ai_handlers/litellm_ai_handler.py
completions.
settings.
pr_add_docs.py
Use Global Temperature Setting in PR Docs Addition
pr_agent/tools/pr_add_docs.py
hardcoded value.
pr_code_suggestions.py
Use Global Temperature Setting in PR Code Suggestions
pr_agent/tools/pr_code_suggestions.py
hardcoded value.
pr_description.py
Use Global Temperature Setting in PR Description
pr_agent/tools/pr_description.py
hardcoded value.
pr_generate_labels.py
Use Global Temperature Setting in PR Label Generation
pr_agent/tools/pr_generate_labels.py
hardcoded value.
pr_information_from_user.py
Use Global Temperature Setting in PR User Information Gathering
pr_agent/tools/pr_information_from_user.py
hardcoded value.
pr_line_questions.py
Use Global Temperature Setting in PR Line Questions
pr_agent/tools/pr_line_questions.py
hardcoded value.
pr_questions.py
Use Global Temperature Setting in PR Questions
pr_agent/tools/pr_questions.py
hardcoded value.
pr_reviewer.py
Use Global Temperature Setting in PR Reviewer
pr_agent/tools/pr_reviewer.py
hardcoded value.
pr_update_changelog.py
Use Global Temperature Setting in PR Changelog Update
pr_agent/tools/pr_update_changelog.py
hardcoded value.
5 files
e2e_utils.py
Add Utilities for E2E Testing
tests/e2e_tests/e2e_utils.py
test_bitbucket_app.py
Add E2E Test for Bitbucket App
tests/e2e_tests/test_bitbucket_app.py
test_github_app.py
Add E2E Test for GitHub App
tests/e2e_tests/test_github_app.py
test_gitlab_webhook.py
Add E2E Test for GitLab Webhook
tests/e2e_tests/test_gitlab_webhook.py
e2e_tests.yaml
Add Workflow for E2E Tests
.github/workflows/e2e_tests.yaml
2 files
build-and-test.yaml
Specify Unittest Directory in Build and Test Workflow
.github/workflows/build-and-test.yaml
configuration.toml
Enhance Configuration with Seed and Temperature Settings
pr_agent/settings/configuration.toml
seed
andtemperature
settings.