Refactor interview model and add new templates for user and system up…

[Swiftyos]

Type

enhancement, bug_fix

---

Description

• Introduced InterviewUpdateBlock to manage updates during interviews, replacing InterviewBlock.
• Added new models and enums in model.py to handle actions like ADD, REMOVE, and UPDATE for features.
• Implemented new Jinja2 templates for retry, system, and user prompts to facilitate the interview update process.
• Enhanced the interview continuation logic in agent.py to dynamically handle feature updates and improve error handling.

---

Changes walkthrough

Relevant files

Enhancement

agent.py Enhance Interview Continuation Logic and Error Handling    codex/interview/agent.py Refactored to use InterviewUpdateBlock instead of InterviewBlock. Enhanced feature handling with dynamic updates and deletions. Improved error handling and logging within the interview continuation process. Added a new function apply_feature_updates to manage feature updates based on user input. +81/-26  ai_interview_update.py Implement Interview Update Handling Class                                codex/interview/ai_interview_update.py Introduced InterviewUpdateBlock class for handling updates in interviews. Implemented methods for creating feature lists and validating responses. Added a simple test scenario within the module for demonstration. +150/-0  model.py Extend Interview Models to Support Feature Updates              codex/interview/model.py Added new enums and models for handling feature updates. Extended the base model to include new fields for update actions. +23/-0    retry.j2 Add Retry Response Template for Interview Updates                codex/prompts/gpt-4-turbo/interview/update/retry.j2 Added a new template for handling retry responses in interview updates. +11/-0    system.j2 New System Prompt Template for Interview Updates                  codex/prompts/gpt-4-turbo/interview/update/system.j2 - Created a new system prompt template for interview updates. +12/-0    user.j2 Introduce User Prompt Template for Interview Updates          codex/prompts/gpt-4-turbo/interview/update/user.j2 Introduced a user prompt template to guide feature updates in interviews. +26/-0

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[linear[bot]]

AGPT-713

[codiumai-pr-agent-pro[bot]]

PR Description updated to latest commit (https://github.com/Significant-Gravitas/codex/commit/432f509942adc0c9ecfe18bcedad8d4aa30da594)

• [ ] Copy walkthrough table to "Files Changed" Tab

[codiumai-pr-agent-pro[bot]]

PR Review

(Review updated until commit https://github.com/Significant-Gravitas/codex/commit/d43b0279990d9c6759a608f973b95fe0c49a513d)

⏱️ Estimated effort to review [1-5]	4, because the PR involves multiple files and significant changes including refactoring, adding new models, and implementing new logic for handling interviews. The complexity of the changes, especially with the introduction of new classes and methods, requires a thorough review to ensure functionality and integration are maintained.
🧪 Relevant tests	No
🔍 Possible issues	Possible Bug: The method `apply_feature_updates` in `agent.py` uses an index-based approach in the `update_map` and `remove_set` which assumes that the index of features in the update matches their order in the last step's features. This could lead to incorrect updates or deletions if the order doesn't match.
	Error Handling: The generic exception handling in `continue_interview` and `apply_feature_updates` could obscure the underlying errors, making debugging more difficult. More specific exception handling or error logging might be necessary.
🔒 Security concerns	No

Code feedback:

---

relevant file	codex/interview/agent.py
suggestion	Consider using a dictionary or a more robust mapping strategy that does not rely on indices for feature updates. This approach can help prevent issues when the order of features in the update does not match the order in the database. [important]
relevant line	update_map = {f.id: f for f in update.features if f.action == Action.UPDATE}

---

relevant file	codex/interview/agent.py
suggestion	Implement more specific exception handling in the `apply_feature_updates` method. Instead of catching a general exception, catch specific exceptions that you expect might occur (like KeyError, ValueError). This will make debugging easier and the code more robust. [important]
relevant line	except Exception as e:

---

relevant file	codex/interview/agent.py
suggestion	Refactor the error handling in the `continue_interview` method to avoid raising a generic AssertionError. Instead, consider logging the specific error and handling it appropriately or rethrowing it with more context. [important]
relevant line	raise AssertionError(f"Error during interview continuation: {e}")

---

[codiumai-pr-agent-pro[bot]]

Changelog updates:

2024-04-30

Added

• New InterviewUpdateBlock for managing updates during interviews.
• New models and enums in model.py for handling ADD, REMOVE, and UPDATE actions.
• New Jinja2 templates for retry, system, and user prompts to facilitate updates.

Changed

• Refactored interview continuation logic in agent.py to use InterviewUpdateBlock.
• Enhanced feature handling with dynamic updates and improved error handling in interviews.

Fixed

• Improved error handling in the interview update process.

to commit the new content to the CHANGELOG.md file, please type: '/update_changelog --pr_update_changelog.push_changelog_changes=true'

[codiumai-pr-agent-pro[bot]]

PR Analysis

• This screen contains a list of code components that were changed in this PR.
• You can initiate specific actions for each component, by checking the relevant boxes.
• After you check a box, the action will be performed automatically by PR-Agent.
• Results will appear as a comment on the PR, typically after 30-60 seconds.

file	Changed components
agent.py	- [ ] Test - [x] Docs - [ ] Improve - [ ] Similar   continue_interview (function)   +22/-26   - [x] Test - [x] Docs - [x] Improve - [ ] Similar   apply_feature_updates (function)   +51/-0
ai_interview_update.py	- [ ] Test - [x] Docs - [ ] Improve - [ ] Similar   InterviewUpdateBlock (class)   +44/-0   - [ ] Test - [ ] Docs - [ ] Improve - [ ] Similar   Colors (class)   +4/-0   - [ ] Test - [x] Docs - [ ] Improve - [ ] Similar   run_ai (function)   +25/-0   - [ ] Test - [ ] Docs - [ ] Improve - [ ] Similar   print_output (function)   +18/-0
model.py	- [ ] Test - [ ] Docs - [ ] Improve - [ ] Similar   Action (class)   +4/-0   - [ ] Test - [ ] Docs - [ ] Improve - [ ] Similar   AppFeatureUpdate (class)   +6/-0   - [ ] Test - [ ] Docs - [ ] Improve - [ ] Similar   UpdateUnderstanding (class)   +5/-0

---

✨ Usage guide:

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Using static code analysis capabilities, the `analyze` tool scans the PR code changes and find the code components (methods, functions, classes) that changed in the PR. The tool can be triggered [automatically](https://pr-agent-docs.codium.ai/usage-guide/automations_and_usage/#github-app-automatic-tools-when-a-new-pr-is-opened) every time a new PR is opened, or can be invoked manually by commenting on any PR: ``` /analyze ``` Language that are currently supported: Python, Java, C++, JavaScript, TypeScript. See more information about the tool in the [docs](https://pr-agent-docs.codium.ai/tools/analyze/).

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Generated docstring for 'run_ai'

run_ai (function) ^[+25/-0]

Component signature:

```python async def run_ai( product_name, product_description, features, user_msg ) -> dict[str, InterviewUpdateBlock]: ``` Docstring:
```python """ Asynchronously runs the AI process for updating features based on user messages. Args: product_name (str): The name of the product. product_description (str): The description of the product. features (str): The features of the product. user_msg (str): The user message input. Returns: dict[str, InterviewUpdateBlock]: A dictionary containing the updated features as an InterviewUpdateBlock. Raises: AssertionError: If the User ID is not found. """ ```

[codiumai-pr-agent-pro[bot]]

Generated docstring for 'apply_feature_updates'

apply_feature_updates (function) ^[+40/-0]

Component signature:

```python def apply_feature_updates( last_step: prisma.models.InterviewStep, update: UpdateUnderstanding ) -> list[prisma.types.FeatureCreateWithoutRelationsInput]: ``` Docstring:
```python """ Apply feature updates to the given InterviewStep based on the provided UpdateUnderstanding. Args: last_step (prisma.models.InterviewStep): The last step of the interview to update. update (UpdateUnderstanding): The update containing information about the features to apply. Returns: list[prisma.types.FeatureCreateWithoutRelationsInput]: A list of updated features to be applied to the interview step. Raises: ValueError: If no features are found in the update or the last step. TypeError: If the features in the update are not in the expected list format. """ ```

[codiumai-pr-agent-pro[bot]]

Generated docstring for 'continue_interview'

continue_interview (function) ^[+23/-27]

Component signature:

```python async def continue_interview( ids: Identifiers, app: prisma.models.Application, user_message: str ) -> InterviewResponse: ``` Docstring:
```python """ Asynchronously continues an interview process based on the provided parameters. Parameters: - ids (Identifiers): An object containing identifiers related to the interview. - app (prisma.models.Application): An instance of the application model. - user_message (str): The message provided by the user. Returns: - InterviewResponse: An object representing the response of the interview continuation. Raises: - AssertionError: If the interview id is not found or features are not found in the last step. - Exception: If an error occurs during the interview continuation process. """ ```

[codiumai-pr-agent-pro[bot]]

Generated tests for 'apply_feature_updates'

apply_feature_updates (function) ^[+40/-0]

Component signature: ```python def apply_feature_updates(last_step: prisma.models.InterviewStep, update: UpdateUnderstanding) -> list[prisma.types.FeatureCreateWithoutRelationsInput]: ```
Tests for code changes in `apply_feature_updates` function:

[happy path] apply_feature_updates should correctly handle the addition of new features test_code: ```python import pytest from codex.interview.agent import apply_feature_updates from codex.interview.model import UpdateUnderstanding, AppFeatureUpdate, Action from prisma.models import InterviewStep from prisma.types import FeatureCreateWithoutRelationsInput @pytest.mark.asyncio async def test_apply_feature_updates_with_add_action(): # Given last_step = InterviewStep(Features=[]) new_feature = AppFeatureUpdate(id=2, name="New Feature", action=Action.ADD, functionality="New functionality") update = UpdateUnderstanding(features=[new_feature]) # When result = apply_feature_updates(last_step, update) # Then assert len(result) == 1 assert isinstance(result[0], FeatureCreateWithoutRelationsInput) assert result[0].name == "New Feature" assert result[0].functionality == "New functionality" ```

[edge case] apply_feature_updates should raise a ValueError when update.features is None test_code: ```python import pytest from codex.interview.agent import apply_feature_updates from codex.interview.model import UpdateUnderstanding from prisma.models import InterviewStep @pytest.mark.asyncio async def test_apply_feature_updates_with_none_features(): # Given last_step = InterviewStep(Features=[{"id": 1, "name": "Feature1"}]) update = UpdateUnderstanding(features=None) # When/Then with pytest.raises(ValueError) as exc_info: apply_feature_updates(last_step, update) assert str(exc_info.value) == "No features found in the update" ```

[edge case] apply_feature_updates should skip features marked for removal test_code: ```python import pytest from codex.interview.agent import apply_feature_updates from codex.interview.model import UpdateUnderstanding, AppFeatureUpdate, Action from prisma.models import InterviewStep from prisma.types import FeatureCreateWithoutRelationsInput @pytest.mark.asyncio async def test_apply_feature_updates_with_remove_action(): # Given existing_feature = {"id": 1, "name": "Existing Feature", "functionality": "Existing functionality"} last_step = InterviewStep(Features=[existing_feature]) remove_feature = AppFeatureUpdate(id=1, action=Action.REMOVE) update = UpdateUnderstanding(features=[remove_feature]) # When result = apply_feature_updates(last_step, update) # Then assert len(result) == 0 # Feature with id=1 should be removed ```

---

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Generated docstring for 'InterviewUpdateBlock'

InterviewUpdateBlock (class) ^[+44/-0]

Component signature:

```python class InterviewUpdateBlock(AIBlock): ``` Docstring:
```python """ This is a block that handles, calling the LLM, validating the response, storing llm calls, and returning the response to the user :param prompt_template_name: The template name for the prompt. :param model: The model used for processing. :param is_json_response: A boolean indicating if the response is in JSON format. :param pydantic_object: The Pydantic object associated with the block. Methods: - create_feature_list(features: list[prisma.models.Feature]): Create a list of features based on input. - validate(invoke_params: dict, response: ValidatedResponse) -> ValidatedResponse: Validate the response. - create_item(ids: Identifiers, validated_response: ValidatedResponse): Store the response in the database. """ ```

[Swiftyos]

/review

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Generated code suggestions for 'apply_feature_updates'

apply_feature_updates (function) ^[+55/-0]

Component signature: ```python def apply_feature_updates(last_step: prisma.models.InterviewStep, update: UpdateUnderstanding) -> list[prisma.types.FeatureCreateWithoutRelationsInput]: ```
Suggestions and improvements for code changes in `apply_feature_updates` function:

Category	Suggestions
Bug	Ensure feature updates and removals are based on feature IDs rather than their list indices. ___ **Replace the use of enumerate with direct iteration over last_step.Features and use the feature's id attribute for checks against update_map and remove_set. This ensures that the correct features are updated or removed based on their IDs rather than their position in the list.** [codex/interview/agent.py ](https://github.com/Significant-Gravitas/codex/blob/d43b0279990d9c6759a608f973b95fe0c49a513d/codex/interview/agent.py/#L160-L214) ```diff -for i, f in enumerate(last_step.Features): - if i in remove_set: +for f in last_step.Features: + if f.id in remove_set: continue - updated_feature = update_map.get(i, f) + updated_feature = update_map.get(f.id, f) ```
Enhancement	Add checks for the existence of the 'action' attribute in feature objects to prevent AttributeError. ___ **Add a check to ensure that the action attribute exists in each feature within update.features before processing them. This prevents potential AttributeError when accessing f.action.** [codex/interview/agent.py ](https://github.com/Significant-Gravitas/codex/blob/d43b0279990d9c6759a608f973b95fe0c49a513d/codex/interview/agent.py/#L160-L214) ```diff -update_map = {f.id: f for f in update.features if f.action == Action.UPDATE} -remove_set = {f.id for f in update.features if f.action == Action.REMOVE} +update_map = {f.id: f for f in update.features if hasattr(f, 'action') and f.action == Action.UPDATE} +remove_set = {f.id for f in update.features if hasattr(f, 'action') and f.action == Action.REMOVE} ```
	Simplify the creation of new features using dictionary comprehension. ___ **Consider using a dictionary comprehension to simplify the creation of new_feature_list by merging the conditions and transformations into a single comprehension.** [codex/interview/agent.py ](https://github.com/Significant-Gravitas/codex/blob/d43b0279990d9c6759a608f973b95fe0c49a513d/codex/interview/agent.py/#L160-L214) ```diff new_feature_list = [ prisma.types.FeatureCreateWithoutRelationsInput( - name=f.name if f.name else "", - reasoning=f.reasoning if f.reasoning else "", - functionality=f.functionality if f.functionality else "", + name=f.name or "", + reasoning=f.reasoning or "", + functionality=f.functionality or "", ) - for f in update.features - if f.action == Action.ADD + for f in update.features if f.action == Action.ADD ] ```
Best practice	Use a more specific exception type for better error handling. ___ **Use a more specific exception type instead of the general AssertionError when re-raising exceptions caught in the try-except block. This helps in better error handling and understanding the nature of the error.** [codex/interview/agent.py ](https://github.com/Significant-Gravitas/codex/blob/d43b0279990d9c6759a608f973b95fe0c49a513d/codex/interview/agent.py/#L160-L214) ```diff except Exception as e: logger.exception(f"Error occured in apply_feature_updates: {e}") - raise AssertionError(f"Error occured in apply_feature_updates: {e}") + raise RuntimeError(f"Error occured in apply_feature_updates: {e}") ```

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Persistent review updated to latest commit https://github.com/Significant-Gravitas/codex/commit/d43b0279990d9c6759a608f973b95fe0c49a513d

[Swiftyos]

/review auto_approve

[codiumai-pr-agent-pro[bot]]

Auto-approve error: PR review effort (4) is higher than the maximal review effort (2) allowed

[Torantulino]

Their seems to be an issue with these changes.

The JSON schema states that it's valid if "Features" is null:

"features": {
  "anyOf": [
    {
      "items": {
        "$ref": "#/$defs/AppFeatureUpdate"
      },
      "type": "array"
    },
    {
      "type": "null"
    }
  ],
  "default": null,
  "title": "Features"
}

however if it is null, the code logs it as an error and app development completely fails.

        if update.features is None:
            raise ValueError("No features found in the update")