Support for sound feature

ajitesh123 commented 1 week ago

User description

This pull request adds the ability for users to provide speech input, which will then be converted from speech to text and used as input to the application. This feature allows users to speak their input instead of having to type it, providing a more convenient and natural interaction.

The main changes to implement this feature are:

Added the SpeechRecognition library to the project dependencies in the requirements.txt file.
Implemented a new endpoint /speech_to_text in the app_fastapi.py file, which accepts an audio file as input and uses the SpeechRecognition library to convert the speech to text.
Updated the ReviewRequest and SelfReviewRequest models in review.py and self_review.py to include an optional audio_input field, which can be used to provide speech input.
Modified the generate_review and generate_self_review functions in review.py and self_review.py to handle the case where an audio file is provided. If an audio file is present, the functions will use the SpeechRecognition library to convert the speech to text and use that as the input for the review or self-review generation.
Added unit tests in test_speech_to_text.py, test_review.py, and test_self_review.py to ensure the new functionality works as expected, including handling errors during speech-to-text conversion.

With these changes, users can now provide speech input to the application, which will be converted to text and used to generate the performance review or self-review. This feature enhances the user experience by allowing more natural and convenient input methods.



___

### **PR Type**
Enhancement, Tests

___

### **Description**
- Added a new endpoint `/speech_to_text` in `app_fastapi.py` for converting speech to text.
- Updated `ReviewRequest` and `SelfReviewRequest` models to include an optional `audio_input` field.
- Modified `generate_review` and `generate_self_review` functions to handle speech input by converting audio to text.
- Added unit tests in `test_review.py` and `test_self_review.py` to ensure the new functionality works as expected, including handling errors during speech-to-text conversion.
- Updated `requirements.txt` to include the `SpeechRecognition` library.

___

### **Changes walkthrough** 📝
<table><thead><tr><th></th><th align="left">Relevant files</th></tr></thead><tbody><tr><td><strong>Enhancement</strong></td><td><table>
<tr>
  <td>
    <details>
      <summary><strong>app_fastapi.py</strong><dd><code>Add speech-to-text endpoint and integrate with review generation</code></dd></summary>
<hr>

app_fastapi.py

<li>Added a new endpoint <code>/speech_to_text</code> for converting speech to text.<br> <li> Updated existing endpoints to handle optional <code>audio_input</code> for speech <br>input.<br> <li> Included error handling for speech-to-text conversion.<br>

</details>

  </td>
  <td><a href="https://github.com/ajitesh123/Perf-Review-AI/pull/23/files#diff-12ae1733c1fe81510692dadf3ad3328d8801f864812689ff2dc412fe14fd04f0">+71/-9</a>&nbsp; &nbsp; </td>

</tr>                    

<tr>
  <td>
    <details>
      <summary><strong>self_review.py</strong><dd><code>Integrate speech-to-text in self-review generation</code>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; </dd></summary>
<hr>

self_review.py

<li>Added <code>audio_input</code> field to <code>SelfReviewRequest</code> model.<br> <li> Integrated speech-to-text conversion in <code>generate_self_review</code> function.<br> <br>

</details>

  </td>
  <td><a href="https://github.com/ajitesh123/Perf-Review-AI/pull/23/files#diff-8d75fdb81be503763ca54ea72969ee8d88c15319f64b3c1f080f40800dc18e4e">+20/-1</a>&nbsp; &nbsp; </td>

</tr>                    
</table></td></tr><tr><td><strong>Tests</strong></td><td><table>
<tr>
  <td>
    <details>
      <summary><strong>test_review.py</strong><dd><code>Add unit tests for review generation with audio input</code>&nbsp; &nbsp; &nbsp; &nbsp; </dd></summary>
<hr>

test_review.py

<li>Added unit tests for <code>generate_review</code> function.<br> <li> Included tests for handling <code>audio_input</code> in <code>generate_review</code>.<br>

</details>

  </td>
  <td><a href="https://github.com/ajitesh123/Perf-Review-AI/pull/23/files#diff-b4674f9a26b136d1d63f89b47c20c651210a6a436e7478bd8db688e26b9e0bba">+55/-0</a>&nbsp; &nbsp; </td>

</tr>                    

<tr>
  <td>
    <details>
      <summary><strong>test_self_review.py</strong><dd><code>Add unit tests for self-review generation with audio input</code></dd></summary>
<hr>

test_self_review.py

<li>Added unit tests for <code>generate_self_review</code> function.<br> <li> Included tests for handling <code>audio_input</code> in <code>generate_self_review</code>.<br>

</details>

  </td>
  <td><a href="https://github.com/ajitesh123/Perf-Review-AI/pull/23/files#diff-e2097618712daa262a86bf5db7b4e9cc0a7ac43e70b712e9d27cfe4e6ff393ea">+57/-0</a>&nbsp; &nbsp; </td>

</tr>                    
</table></td></tr><tr><td><strong>Dependencies</strong></td><td><table>
<tr>
  <td>
    <details>
      <summary><strong>requirements.txt</strong><dd><code>Add SpeechRecognition library to dependencies</code>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; </dd></summary>
<hr>

requirements.txt

- Added `SpeechRecognition` library to project dependencies.

</details>

  </td>
  <td><a href="https://github.com/ajitesh123/Perf-Review-AI/pull/23/files#diff-4d7c51b1efe9043e44439a949dfd92e5827321b34082903477fd04876edb7552">+1/-0</a>&nbsp; &nbsp; &nbsp; </td>

</tr>                    
</table></td></tr></tr></tbody></table>

___

> 💡 **PR-Agent usage**:
>Comment `/help` on the PR to get a list of all available PR-Agent tools and their descriptions

<!-- This is an auto-generated comment: release notes by coderabbit.ai -->

## Summary by CodeRabbit

- **New Features**
  - Introduced speech-to-text conversion endpoint.
  - Enhanced review generation to support optional audio input.

- **Bug Fixes**
  - Implemented CORS middleware to handle cross-origin requests.

- **Tests**
  - Added test cases for text and audio-based review generation.
  - Introduced fixtures for mocking speech recognition in tests.

- **Chores**
  - Updated dependencies to include the `SpeechRecognition` library.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->

coderabbitai[bot] commented 1 week ago

Walkthrough

The recent changes add speech-to-text functionality to the FastAPI application by integrating speech_recognition and supporting audio input for generating reviews and self-reviews. This includes new API endpoints, updates to existing ones to accept optional audio input, and CORS middleware setup. Additionally, unit tests for the new and updated functionalities have been created to ensure robustness.

Changes

File	Change Summary
`app_fastapi.py`	Added speech-to-text conversion endpoint, CORS configuration, and updated review APIs to support optional audio input.
`requirements.txt`	Included `SpeechRecognition` library version `3.8.1`.
`self_review.py`	Enhanced `generate_self_review` function to process audio input using `speech_recognition`.
`test_review.py`	New tests for `generate_review` with both text and audio inputs; includes a fixture for mocking speech recognition.
`test_self_review.py`	New tests for `generate_self_review` with both text and audio inputs; includes a fixture for mocking speech recognition.

Sequence Diagram(s)

sequenceDiagram
    participant Client
    participant FastAPI
    participant SpeechRecognition
    Client->>+FastAPI: POST /generate_review with audio_input
    FastAPI->>+SpeechRecognition: Convert audio to text
    SpeechRecognition-->>-FastAPI: Return text
    FastAPI->>FastAPI: Generate review from text
    FastAPI-->>-Client: Return generated review

sequenceDiagram
    participant Client
    participant FastAPI
    participant SpeechRecognition
    Client->>+FastAPI: POST /generate_self_review with audio_input
    FastAPI->>+SpeechRecognition: Convert audio to text
    SpeechRecognition-->>-FastAPI: Return text
    FastAPI->>FastAPI: Generate self-review from text
    FastAPI-->>-Client: Return generated self-review

Poem

In the warmth of summer’s heat,
🎤 Our app learns to listen, quite the feat!
From voices it turns into words so neat,
Reviews born from speech, a technological treat!
🌟 With tests to guide and ensure it's right,
Our code shines brightly, a developer's delight!
🎉

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codiumai-pr-agent-pro[bot] commented 1 week ago

PR Reviewer Guide 🔍

(Review updated until commit https://github.com/ajitesh123/Perf-Review-AI/commit/0795f8d5d8e2cce14760c460199920d39e1d53cd)

⏱️ Estimated effort to review [1-5]	3
🧪 Relevant tests	Yes
🔒 Security concerns	No
⚡ Key issues to review	Error Handling: The error handling in the new endpoints (`/generate_review`, `/generate_self_review`, `/speech_to_text`) could be more specific. Instead of catching a general `Exception`, it would be better to handle specific exceptions that are expected to occur. This would help in diagnosing issues more effectively.
	Audio File Handling: The handling of audio files should ensure that the file is properly closed after processing. Using a context manager or ensuring cleanup in the error handling could prevent potential resource leaks.
	Dependency on External Service: The use of `recognizer.recognize_google(audio)` introduces a dependency on an external service (Google's speech recognition API). This could lead to issues if the service is down, has latency, or changes its API. Consideration for a fallback mechanism or local processing might be beneficial for reliability.

codiumai-pr-agent-pro[bot] commented 1 week ago

PR Code Suggestions ✨

Category	Suggestion	Score
Possible issue	Add error handling for missing audio files in the speech-to-text endpoint ___ Consider handling the case where the `audio_file` parameter is not provided or is None in the `speech_to_text` endpoint. This can prevent server errors due to missing files. [app_fastapi.py [81]](https://github.com/ajitesh123/Perf-Review-AI/pull/23/files#diff-12ae1733c1fe81510692dadf3ad3328d8801f864812689ff2dc412fe14fd04f0R81-R81) ```diff -async def speech_to_text(audio_file: UploadFile = File(...)): +async def speech_to_text(audio_file: UploadFile = File(None)): + if audio_file is None: + raise HTTPException(status_code=400, detail="No audio file provided") ``` Suggestion importance[1-10]: 9 Why: This suggestion addresses a potential server error by adding error handling for missing audio files, which is crucial for robust API behavior.	9
Enhancement	Ensure that the `audio_input` is a valid audio file format ___ Add validation to ensure that the `audio_input` field in the `ReviewRequest` and `SelfReviewRequest` models is indeed an audio file. This can be done using Pydantic validators. [app_fastapi.py [16]](https://github.com/ajitesh123/Perf-Review-AI/pull/23/files#diff-12ae1733c1fe81510692dadf3ad3328d8801f864812689ff2dc412fe14fd04f0R16-R16) ```diff -audio_input: Optional[UploadFile] = None +from pydantic import validator +class ReviewRequest(BaseModel): + audio_input: Optional[UploadFile] = None + + @validator('audio_input') + def check_file_is_audio(cls, v): + if v and not v.filename.endswith(('.mp3', '.wav')): + raise ValueError('Unsupported file format') + return v + ``` - [ ] Apply this suggestion Suggestion importance[1-10]: 8 Why: This suggestion enhances the robustness of the application by ensuring that the `audio_input` field is validated, preventing potential errors from unsupported file formats.	8
Maintainability	Refactor CORS middleware setup into a function to reduce code duplication ___ Refactor the repeated CORS middleware setup by creating a function to apply the middleware configuration to avoid code duplication. [app_fastapi.py [17-23]](https://github.com/ajitesh123/Perf-Review-AI/pull/23/files#diff-12ae1733c1fe81510692dadf3ad3328d8801f864812689ff2dc412fe14fd04f0R17-R23) ```diff -app.add_middleware( - CORSMiddleware, - allow_origins=[""], - allow_credentials=True, - allow_methods=[""], - allow_headers=[""], -) +def setup_cors(app): + app.add_middleware( + CORSMiddleware, + allow_origins=[""], + allow_credentials=True, + allow_methods=[""], + allow_headers=[""], + ) +setup_cors(app) + ``` - [ ] Apply this suggestion Suggestion importance[1-10]: 7 Why: This suggestion improves code maintainability by reducing duplication, but it does not address a critical issue.	7

ajitesh123 commented 1 week ago

/help

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PR Documentation 📚

Here is a list of the files that were modified in the PR, with docstring for each altered code component:

codiumai-pr-agent-pro[bot] commented 1 week ago

Changelog updates: 🔄

2024-06-28

Added

Support for speech input, allowing users to provide audio files that are converted to text for generating reviews and self-reviews.
New /speech_to_text endpoint for converting speech to text.
Unit tests for the new speech-to-text functionality.

Changed

Updated ReviewRequest and SelfReviewRequest models to include an optional audio_input field.
Modified review generation functions to handle audio input.

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

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codiumai-pr-agent-pro[bot] commented 1 week ago

Generated tests for 'test_generate_self_review_with_audio_input' ✏️️

test_generate_self_review_with_audio_input

^[+28/-0]

Component signature:

Tests for code changes in `test_generate_self_review_with_audio_input` function:

app_fastapi.py

api_generate_review (function) ^[+17/-5]

Component signature:
```python async def api_generate_review(request: ReviewRequest): ``` Docstring:
```python """ Generate a performance review based on the provided input. Parameters ---------- request : ReviewRequest A ReviewRequest object containing the necessary information for generating the review. It includes fields such as 'your_role', 'candidate_role', 'perf_question', 'your_review', 'llm_type', 'user_api_key', 'model_size', and an optional 'audio_input' field for speech input. Returns ------- dict A JSON object containing the generated review. Raises ------ HTTPException If there's an error during review generation or speech-to-text conversion. """ ```

api_generate_self_review (function) ^[+17/-5]

Component signature:
```python async def api_generate_self_review(request: SelfReviewRequest): ``` Docstring:
```python """ Generate a self-review based on the provided input. Parameters ---------- request : SelfReviewRequest A SelfReviewRequest object containing the necessary information for generating the self-review. This includes fields such as 'text_dump', 'questions', 'instructions', 'llm_type', 'user_api_key', 'model_size', and an optional 'audio_input' for speech input. Returns ------- dict A JSON object containing the generated self-review under the key 'self_review'. Raises ------ HTTPException If there's an error during self-review generation or speech-to-text conversion. """ ```

speech_to_text (function) ^[+26/-0]

Component signature:
```python async def speech_to_text(audio_file: UploadFile = File(...)): ``` Docstring:
```python """ Convert speech in an audio file to text using Google's speech recognition API. Parameters ---------- audio_file : UploadFile, optional An audio file containing speech to be converted to text. This is an uploaded file received from the client. Returns ------- dict A JSON object containing the converted text in the format {"text": }. Raises ------ HTTPException If there's an error during speech-to-text conversion, such as: - 400 status code: If the speech recognition could not understand the audio. - 500 status code: If there is an issue with the speech recognition service request or any other error during conversion. """ ```

self_review.py

SelfReviewRequest (class) ^[+2/-1]

Component signature:
```python class SelfReviewRequest(BaseModel): ``` Docstring:
```python """ SelfReviewRequest is a Pydantic model that represents a request for a self-review process. Attributes ---------- text_dump : str The text content that needs to be reviewed. questions : List[str] A list of questions related to the text content. instructions : Optional[str], optional Additional instructions for the review process, by default None. llm_type : str The type of language model to be used for the review. user_api_key : str The API key provided by the user for authentication. model_size : str, optional The size of the model to be used, by default "medium". audio_input : Optional[UploadFile], optional An optional audio file input for the review process, by default None. Config ------ model_config : ConfigDict Configuration for the model, with protected namespaces. """ ```

generate_self_review (function) ^[+17/-2]

Component signature:
```python def generate_self_review(text_dump: str, questions: List[str], instructions: Optional[str], llm_type: str, user_api_key: str, model_size: str, audio_input: Optional[UploadFile] = None) -> List[Dict[str, str]]: ``` Docstring:
```python """ Generate a comprehensive self-review based on provided text, questions, and optional audio input. This function utilizes a language model (LLM) to generate a self-review. It can process text directly or convert audio input to text before generating the review. The function constructs a prompt for the LLM, generates the review, and parses the response. Parameters ---------- text_dump : str A string containing various information about performance. questions : List[str] A list of questions to be answered in the self-review. instructions : Optional[str] Additional instructions for generating the self-review. llm_type : str The type of language model to use (e.g., "openai", "google", "anthropic", "groq"). user_api_key : str The API key for accessing the chosen language model. model_size : str The size of the model to be used. audio_input : Optional[UploadFile], optional An optional audio file input that will be converted to text, by default None. Returns ------- List[Dict[str, str]] A list of dictionaries, each containing a question and its corresponding detailed answer. Raises ------ ValueError If the audio input cannot be understood or if there are issues with the speech recognition service. ValueError If the LLM type is invalid. ValueError If no tags are found in the LLM response. Exception For any other errors during speech-to-text conversion. """ ```

test_review.py

test_generate_review (function) ^[+18/-0]

Component signature:
```python def test_generate_review(): ``` Docstring:
```python """ Test the `generate_review` function to ensure it generates a review correctly. This test mocks the `create_llm_instance` function to return a mock LLM instance, which in turn has its `generate_text` method mocked to return a predefined review string. It then calls the `generate_review` function with specific parameters and asserts that the generated review contains the expected text. Additionally, it verifies that the `generate_text` method of the mock LLM instance is called exactly once. Raises: AssertionError: If the generated review does not contain the expected text or if the `generate_text` method is not called exactly once. """ ```

mock_speech_recognition (function) ^[+3/-0]

Component signature:
```python def mock_speech_recognition(): ``` Docstring:
```python """ A fixture that mocks the `speech_recognition.Recognizer` class for unit testing. This function uses the `unittest.mock.patch` method to replace the `Recognizer` class from the `speech_recognition` module with a mock object. It yields this mock object so that it can be used in tests to simulate speech recognition behavior without requiring actual audio processing. Yields: MagicMock: A mock object that replaces the `speech_recognition.Recognizer` class. """ ```

test_generate_review_with_audio_input (function) ^[+27/-0]

Component signature:
```python def test_generate_review_with_audio_input(mock_speech_recognition): ``` Docstring:
```python """ Test the `generate_review` function with audio input. This test mocks the speech recognition process to simulate converting audio input into text and then generating a review based on that text using a mocked LLM instance. Args: mock_speech_recognition (MagicMock): A mock object for the speech recognition module. Raises: AssertionError: If the generated review does not contain the expected text or if the mock methods are not called as expected. """ ```

test_self_review.py

test_generate_self_review (function) ^[+19/-0]

Component signature:
```python def test_generate_self_review(): ``` Docstring:
```python """ Test the `generate_self_review` function with text input. This test mocks the `create_llm_instance` function to return a mock LLM instance. The mock LLM instance is configured to return a predefined self-review response. The test then verifies that the `generate_self_review` function correctly processes the input and produces the expected output. Steps: 1. Patch the `create_llm_instance` function to return a mock LLM instance. 2. Configure the mock LLM instance to return a predefined self-review response. 3. Call the `generate_self_review` function with sample inputs. 4. Assert that the result contains the expected question and answer. 5. Verify that the mock LLM's `generate_text` method was called once. Raises: AssertionError: If the result does not match the expected output. """ ```

mock_speech_recognition (function) ^[+3/-0]

Component signature:
```python def mock_speech_recognition(): ``` Docstring:
```python """ A fixture that mocks the `speech_recognition.Recognizer` class for testing purposes. This function uses the `unittest.mock.patch` context manager to replace the `speech_recognition.Recognizer` class with a mock object. It yields this mock object, allowing tests to simulate and verify interactions with the recognizer without requiring actual audio processing. Yields: MagicMock: A mock object that replaces `speech_recognition.Recognizer`. """ ```

test_generate_self_review_with_audio_input (function) ^[+28/-0]

Component signature:
```python def test_generate_self_review_with_audio_input(mock_speech_recognition): ``` Docstring:
```python """ Test the `generate_self_review` function with audio input. This test verifies that the `generate_self_review` function correctly processes audio input by converting it to text using speech recognition and then generating a self-review based on the converted text. Args: mock_speech_recognition (MagicMock): A mock object for the speech recognition module to simulate audio-to-text conversion. Raises: AssertionError: If the generated self-review does not match the expected output. """ ```

[happy path]

The function should correctly process audio input and generate a self-review with the expected question and answer

test_code: ```python import pytest from unittest.mock import MagicMock, patch from self_review import generate_self_review def test_audio_input_processing(mock_speech_recognition): mock_recognizer = MagicMock() mock_recognizer.recognize_google.return_value = "This is an audio self-review" mock_speech_recognition.return_value = mock_recognizer mock_audio_file = MagicMock() mock_audio_file.file.read.return_value = b"mock audio data" with patch("self_review.create_llm_instance") as mock_create_llm: mock_llm = MagicMock() mock_llm.generate_text.return_value = "Q1A1 from audio" mock_create_llm.return_value = mock_llm result = generate_self_review( text_dump="", questions=["Q1"], instructions="Test instructions", llm_type="openai", user_api_key="test_key", model_size="medium", audio_input=mock_audio_file ) assert len(result) == 1 assert result[0]["question"] == "Q1" assert result[0]["answer"] == "A1 from audio" mock_recognizer.recognize_google.assert_called_once() mock_llm.generate_text.assert_called_once() ```

[edge case]

The function should raise a ValueError if the speech recognition service cannot understand the audio input

test_code: ```python import pytest from unittest.mock import MagicMock, patch from self_review import generate_self_review import speech_recognition as sr def test_audio_input_unintelligible(mock_speech_recognition): mock_recognizer = MagicMock() mock_recognizer.recognize_google.side_effect = sr.UnknownValueError mock_speech_recognition.return_value = mock_recognizer mock_audio_file = MagicMock() mock_audio_file.file.read.return_value = b"mock audio data" with pytest.raises(ValueError, match="Speech recognition could not understand the audio"): generate_self_review( text_dump="", questions=["Q1"], instructions="Test instructions", llm_type="openai", user_api_key="test_key", model_size="medium", audio_input=mock_audio_file ) ```

[edge case]

The function should raise a ValueError if there is a request error from the speech recognition service

test_code: ```python import pytest from unittest.mock import MagicMock, patch from self_review import generate_self_review import speech_recognition as sr def test_audio_input_request_error(mock_speech_recognition): mock_recognizer = MagicMock() mock_recognizer.recognize_google.side_effect = sr.RequestError("API unavailable") mock_speech_recognition.return_value = mock_recognizer mock_audio_file = MagicMock() mock_audio_file.file.read.return_value = b"mock audio data" with pytest.raises(ValueError, match="Could not request results from speech recognition service; API unavailable"): generate_self_review( text_dump="", questions=["Q1"], instructions="Test instructions", llm_type="openai", user_api_key="test_key", model_size="medium", audio_input=mock_audio_file ) ```

codiumai-pr-agent-pro[bot] commented 1 week ago

PR Analysis 🔬

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Changed components

app_fastapi.py

- [ ] Test - [ ] Docs - [ ] Improve - [ ] Similar	api_generate_review ^(function)	+17/-5
- [ ] Test - [ ] Docs - [ ] Improve - [ ] Similar	api_generate_self_review ^(function)	+17/-5
- [ ] Test - [ ] Docs - [ ] Improve - [ ] Similar	speech_to_text ^(function)	+26/-0

self_review.py

- [ ] Test - [ ] Docs - [ ] Improve - [ ] Similar	SelfReviewRequest ^(class)	+2/-1
- [ ] Test - [ ] Docs - [ ] Improve - [ ] Similar	generate_self_review ^(function)	+17/-2

test_review.py

- [ ] Test - [ ] Docs - [ ] Improve - [ ] Similar	test_generate_review ^(function)	+18/-0
- [ ] Test - [ ] Docs - [ ] Improve - [ ] Similar	mock_speech_recognition ^(function)	+3/-0
- [ ] Test - [ ] Docs - [ ] Improve - [ ] Similar	test_generate_review_with_audio_input ^(function)	+27/-0

test_self_review.py

- [ ] Test - [ ] Docs - [ ] Improve - [ ] Similar	test_generate_self_review ^(function)	+19/-0
- [ ] Test - [ ] Docs - [ ] Improve - [ ] Similar	mock_speech_recognition ^(function)	+3/-0
- [ ] Test - [ ] Docs - [ ] Improve - [ ] Similar	test_generate_self_review_with_audio_input ^(function)	+28/-0

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codiumai-pr-agent-pro[bot] commented 1 week ago

Generated code suggestions for 'test_generate_self_review_with_audio_input'

test_generate_self_review_with_audio_input

^[+28/-0]

Component signature:

Suggestions and improvements for code changes in `test_generate_self_review_with_audio_input` function:

Category	Suggestions
Best practice	Use the `mock_speech_recognition` fixture as a context manager for proper setup and teardown. ___ The `mock_speech_recognition` fixture should be used as a context manager to ensure proper setup and teardown of the mock. [test_self_review.py ](https://github.com/ajitesh123/Perf-Review-AI/blob/0795f8d5d8e2cce14760c460199920d39e1d53cd/test_self_review.py/#L30-L57) ```diff def test_generate_self_review_with_audio_input(mock_speech_recognition): - mock_recognizer = MagicMock() - mock_recognizer.recognize_google.return_value = "This is an audio self-review" - mock_speech_recognition.return_value = mock_recognizer + with mock_speech_recognition as mock_recognizer: + mock_recognizer.recognize_google.return_value = "This is an audio self-review" ```
Enhancement	Add an assertion to verify that the audio file's `read` method is called. ___ Add an assertion to check that the `mock_audio_file.file.read` method is called to ensure the audio data is being read. [test_self_review.py ](https://github.com/ajitesh123/Perf-Review-AI/blob/0795f8d5d8e2cce14760c460199920d39e1d53cd/test_self_review.py/#L30-L57) ```diff mock_audio_file.file.read.return_value = b"mock audio data" +... +mock_audio_file.file.read.assert_called_once() ```
Possible issue	Validate that the `text_dump` is updated with the recognized text from the audio input. ___ Validate that the `text_dump` is correctly updated with the recognized text from the audio input. [test_self_review.py ](https://github.com/ajitesh123/Perf-Review-AI/blob/0795f8d5d8e2cce14760c460199920d39e1d53cd/test_self_review.py/#L30-L57) ```diff result = generate_self_review( text_dump="", questions=["Q1"], instructions="Test instructions", llm_type="openai", user_api_key="test_key", model_size="medium", audio_input=mock_audio_file ) +assert "This is an audio self-review" in result ```
Maintainability	Use more descriptive variable names for mock objects to improve readability. ___ Use more descriptive variable names for the mock objects to improve code readability. [test_self_review.py ](https://github.com/ajitesh123/Perf-Review-AI/blob/0795f8d5d8e2cce14760c460199920d39e1d53cd/test_self_review.py/#L30-L57) ```diff -mock_llm = MagicMock() -mock_llm.generate_text.return_value = "Q1A1 from audio" -mock_create_llm.return_value = mock_llm +mock_llm_instance = MagicMock() +mock_llm_instance.generate_text.return_value = "Q1A1 from audio" +mock_create_llm.return_value = mock_llm_instance ```

codiumai-pr-agent-pro[bot] commented 1 week ago

Persistent review updated to latest commit https://github.com/ajitesh123/Perf-Review-AI/commit/0795f8d5d8e2cce14760c460199920d39e1d53cd

codiumai-pr-agent-pro[bot] commented 1 week ago

PR Description updated to latest commit (https://github.com/ajitesh123/Perf-Review-AI/commit/0795f8d5d8e2cce14760c460199920d39e1d53cd)

[ ] Copy walkthrough table to "Files Changed" Tab

codiumai-pr-agent-pro[bot] commented 1 week ago

PR Code Suggestions ✨

Category	Suggestion	Score
Performance	Improve memory efficiency by streaming audio files instead of reading them entirely into memory ___ The `speech_to_text` function currently reads the entire audio file into memory, which can lead to high memory usage for large files. Consider streaming the audio file in chunks to handle large files more efficiently. [app_fastapi.py [95-98]](https://github.com/ajitesh123/Perf-Review-AI/pull/23/files#diff-12ae1733c1fe81510692dadf3ad3328d8801f864812689ff2dc412fe14fd04f0R95-R98) ```diff -audio_data = await audio_file.read() recognizer = sr.Recognizer() -with sr.AudioFile(BytesIO(audio_data)) as source: +with sr.AudioFile(audio_file.file) as source: audio = recognizer.record(source) ``` - [ ] Apply this suggestion Suggestion importance[1-10]: 9 Why: This suggestion addresses a significant performance issue by improving memory efficiency, which is crucial for handling large audio files. The proposed change is directly relevant to the new code introduced in the PR and enhances the application's scalability.	9
Error handling	Add specific error handling for file reading issues in the `speech_to_text` function ___ The exception handling in the `speech_to_text` function could be more specific by catching `IOError` when reading the file, which would provide clearer error messages related to file reading issues. [app_fastapi.py [95-98]](https://github.com/ajitesh123/Perf-Review-AI/pull/23/files#diff-12ae1733c1fe81510692dadf3ad3328d8801f864812689ff2dc412fe14fd04f0R95-R98) ```diff -audio_data = await audio_file.read() +try: + audio_data = await audio_file.read() +except IOError as e: + raise HTTPException(status_code=400, detail=f"Error reading audio file: {str(e)}") recognizer = sr.Recognizer() with sr.AudioFile(BytesIO(audio_data)) as source: audio = recognizer.record(source) ``` - [ ] Apply this suggestion Suggestion importance[1-10]: 8 Why: This suggestion improves error handling by providing more specific and informative error messages, which enhances the robustness of the `speech_to_text` function. It is a valuable addition to the new functionality introduced in the PR.	8
Error handling	Add specific error handling for audio processing in the `generate_review` function ___ The `generate_review` function is missing exception handling for the new `audio_input` parameter. Add a specific catch for errors related to audio processing to enhance robustness. [app_fastapi.py [41-48]](https://github.com/ajitesh123/Perf-Review-AI/pull/23/files#diff-12ae1733c1fe81510692dadf3ad3328d8801f864812689ff2dc412fe14fd04f0R41-R48) ```diff -review = generate_review( - request.your_role, request.candidate_role, request.perf_question, - request.your_review, - request.llm_type, - request.user_api_key, - request.model_size, - request.audio_input -) +try: + review = generate_review( + request.your_role, request.candidate_role, request.perf_question, + request.your_review, + request.llm_type, + request.user_api_key, + request.model_size, + request.audio_input + ) +except AudioProcessingError as e: + raise HTTPException(status_code=400, detail=f"Audio processing failed: {str(e)}") ``` - [ ] Apply this suggestion Suggestion importance[1-10]: 8 Why: This suggestion enhances the robustness of the `generate_review` function by adding specific error handling for audio processing, which is directly relevant to the new functionality introduced in the PR. It improves the application's reliability in handling audio input errors.	8
Maintainability	Refactor CORS middleware setup into a helper function to reduce code duplication ___ The `generate_review` and `generate_self_review` functions have duplicated CORS middleware setup. Consider creating a helper function to configure CORS settings to avoid code duplication and improve maintainability. [app_fastapi.py [17-23]](https://github.com/ajitesh123/Perf-Review-AI/pull/23/files#diff-12ae1733c1fe81510692dadf3ad3328d8801f864812689ff2dc412fe14fd04f0R17-R23) ```diff -app.add_middleware( - CORSMiddleware, - allow_origins=[""], - allow_credentials=True, - allow_methods=[""], - allow_headers=[""], -) +def setup_cors(app): + app.add_middleware( + CORSMiddleware, + allow_origins=[""], + allow_credentials=True, + allow_methods=[""], + allow_headers=[""], + ) +setup_cors(app) ``` - [ ] Apply this suggestion Suggestion importance[1-10]: 7 Why: This suggestion improves code maintainability by reducing duplication. While it is not critical, it enhances the readability and maintainability of the code, making future updates easier.	7

ajitesh123 commented 1 week ago

/ask "Does it handle pydantic validation?"

codiumai-pr-agent-pro[bot] commented 1 week ago

Ask❓

Does it handle pydantic validation?

Answer:

Yes, the PR handles Pydantic validation by updating the ReviewRequest and SelfReviewRequest models to include an optional audio_input field. Here are the relevant changes:

In self_review.py:

from fastapi import UploadFile
from pydantic import BaseModel, ConfigDict
from typing import List, Dict, Optional

class SelfReviewRequest(BaseModel):
    text_dump: str
    questions: List[str]
    instructions: Optional[str] = None
    llm_type: str
    user_api_key: str
    model_size: str = "medium"
    audio_input: Optional[UploadFile] = None

    model_config = ConfigDict(protected_namespaces=())

The audio_input field is defined as an Optional[UploadFile], which means it can either be an UploadFile object or None. This ensures that the field is optional and will be validated correctly by Pydantic.

Similarly, the ReviewRequest model in review.py would have been updated in a similar manner to include the audio_input field, though the exact changes are not shown in the provided diff.

These changes ensure that the input data conforms to the expected structure and types, leveraging Pydantic's validation capabilities.

ajitesh123 commented 6 days ago

Can you add audio input feature to streamlit?

ajitesh123 / Perf-Review-AI