feature: image compression #30
Conversation
WalkthroughThe changes involve significant modifications to the Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant GLMModel
participant ZhipuAI_API
User->>GLMModel: Send message
GLMModel->>ZhipuAI_API: Process chat message
ZhipuAI_API-->>GLMModel: Return response
GLMModel->>User: Send assistant's message or actions
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Actionable comments posted: 7
Outside diff range, codebase verification and nitpick comments (2)
crab/agents/backend_models/glm_model.py (2)
21-25: Handle potential ImportError more gracefully.Currently, the code checks for the availability of
zhipuaiand disables the model if not found. Consider providing a more user-friendly error message or a mechanism to handle this dependency issue more gracefully.Consider adding a user-friendly message or recovery option in the ImportError handling:
except ImportError: print("ZhipuAI module not found. Please ensure it is installed.") glm_model_enable = False
72-86: Message recording method.This method records both new and response messages in the chat history. It handles tool calls if present, which is a good detail to include for completeness. However, ensure that
tool_callsis always present in the response message to avoid potential errors.Add a check for the presence of
tool_callsbefore iterating:if 'tool_calls' in response_message: for tool_call in response_message['tool_calls']: ...
Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files selected for processing (3)
- crab/actions/file_actions.py (1 hunks)
- crab/agents/backend_models/glm_model.py (1 hunks)
- test/core/test_image_handling.py (1 hunks)
Additional context used
Ruff
crab/actions/file_actions.py
20-20: Line too long (145 > 88)
(E501)
test/core/test_image_handling.py
3-3:
ioimported but unusedRemove unused import:
io(F401)
4-4:
base64imported but unusedRemove unused import:
base64(F401)
5-5:
osimported but unusedRemove unused import:
os(F401)
19-19: Line too long (94 > 88)
(E501)
77-77: Line too long (109 > 88)
(E501)
79-79: Line too long (89 > 88)
(E501)
crab/agents/backend_models/glm_model.py
19-19:
crab.BackendOutputimported but unusedRemove unused import:
crab.BackendOutput(F401)
61-61: Undefined name
ChatOutput(F821)
Additional comments not posted (11)
crab/actions/file_actions.py (3)
20-24: Good use of Pydantic's Field for parameter validation.Using Pydantic's
Fieldfor parameter validation and documentation enhances the clarity and usability of the function. This is a good practice as it provides clear descriptions for the parameters, helping other developers understand the expected inputs.Tools
Ruff
20-20: Line too long (145 > 88)
(E501)
22-24: Proper encapsulation of the base64 decoding process.The use of the utility function
base64_to_imagefor decoding the base64 string is a good practice. It simplifies the function and improves maintainability by encapsulating the decoding process.
24-24: Clear user feedback with the return statement.Returning a confirmation message that indicates the successful save of the image is a good practice. It enhances user experience by providing immediate feedback.
test/core/test_image_handling.py (1)
104-104: Ensure cleanup of patches.The function
teardown_moduleis correctly implemented to stop all patches after the tests. This is crucial for preventing side effects on other tests and ensuring that each test runs in a clean state.crab/agents/backend_models/glm_model.py (7)
27-40: Initialization of GLMModel class.The constructor properly checks if the
zhipuaimodule is enabled and initializes the superclass with appropriate parameters. This is a good use of conditional checks before proceeding with further actions.
43-53: Reset method implementation.The method correctly initializes or resets the model's state with a new system message and action space. It also converts actions to a schema, which is a good practice for maintaining consistent state management.
69-70: Token usage retrieval method.Simple and effective method for retrieving the token usage. This is a straightforward implementation that follows good coding practices.
105-132: Action schema conversion method.This static method converts an action space into a schema format, which is useful for ensuring that actions are correctly formatted for API interactions. The method is well-implemented and covers all necessary details.
150-158: Message type conversion method.This method handles different types of messages based on their content type. It's a good implementation that correctly raises an error for unsupported message types, which enhances the robustness of the message handling process.
134-148: Tool call conversion method.This method converts tool call information into a list of actions. It's a specific implementation that assumes a certain format of the message content. Ensure this format is consistently used across all relevant parts of the application.
41-41: Instantiation of ZhipuAI client.The client is instantiated without any parameters. Ensure that this matches the expected usage pattern of the
ZhipuAIclass.
| def save_base64_image(image: str, path: str = "image.png") -> None: | ||
| image = Image.open(BytesIO(base64.b64decode(image))) | ||
| image.save(path) | ||
| def save_image(image: str = Field(..., description="Base64 encoded image string"), path: str = Field(..., description="Path to save the image")): |
There was a problem hiding this comment.
Consider breaking the line to adhere to style guidelines.
The line defining the function signature is too long (145 characters), which exceeds the recommended limit of 88 characters. Consider breaking it into multiple lines for better readability.
Apply this diff to break the line:
-def save_image(image: str = Field(..., description="Base64 encoded image string"), path: str = Field(..., description="Path to save the image")):
+def save_image(
+ image: str = Field(..., description="Base64 encoded image string"),
+ path: str = Field(..., description="Path to save the image")
+):Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| def save_image(image: str = Field(..., description="Base64 encoded image string"), path: str = Field(..., description="Path to save the image")): | |
| def save_image( | |
| image: str = Field(..., description="Base64 encoded image string"), | |
| path: str = Field(..., description="Path to save the image") | |
| ): |
Tools
Ruff
20-20: Line too long (145 > 88)
(E501)
| # Create mock classes/functions | ||
| class MockOpenAIModel: | ||
| def _convert_message(self, message): | ||
| return {"type": "image_url", "image_url": {"url": "data:image/png;base64,mockbase64"}} |
There was a problem hiding this comment.
Address line length issues.
Several lines exceed the recommended line length of 88 characters. Refactoring these lines will improve code readability and maintainability.
Apply these diffs to address the line length issues:
- return {"type": "image_url", "image_url": {"url": "data:image/png;base64,mockbase64"}}
+ return {
+ "type": "image_url",
+ "image_url": {"url": "data:image/png;base64,mockbase64"}
+ }
- converted_message = openai_model._convert_message((received_image, MockMessageType.IMAGE_JPG_BASE64))
+ converted_message = openai_model._convert_message(
+ (received_image, MockMessageType.IMAGE_JPG_BASE64)
+ )
- assert converted_message["image_url"]["url"].startswith("data:image/png;base64,")
+ assert converted_message["image_url"]["url"].startswith(
+ "data:image/png;base64,"
+ )Also applies to: 77-77, 79-79
Tools
Ruff
19-19: Line too long (94 > 88)
(E501)
| class TestImageHandling: | ||
| @pytest.fixture(autouse=True) | ||
| def setup(self): | ||
| self.test_image = Image.new('RGB', (100, 100), color='red') | ||
|
|
||
| def test_image_processing_path(self): | ||
| print("\n--- Image Processing Path Test ---") | ||
|
|
||
| # Use self.test_image instead of taking a screenshot | ||
| screenshot_image = self.test_image | ||
|
|
||
| # 1. Start with a PIL Image (using self.test_image) | ||
| print("1. Starting with a PIL Image") | ||
| assert isinstance(self.test_image, Image.Image) | ||
|
|
||
| # 2. Simulate saving the image | ||
| print("2. Saving the image") | ||
| save_image(self.test_image, "test_image.png") | ||
| print(" Image saved successfully") | ||
|
|
||
| # 3. Using self.test_image instead of taking a screenshot | ||
| print("3. Using self.test_image instead of taking a screenshot") | ||
| screenshot_image = self.test_image | ||
| assert isinstance(screenshot_image, Image.Image) | ||
| print(" Using self.test_image as PIL Image") | ||
|
|
||
| # 4. Prepare for network transfer (serialize to base64) | ||
| print("4. Serializing image for network transfer") | ||
| base64_string = image_to_base64(self.test_image) | ||
| assert isinstance(base64_string, str) | ||
| print(" Image serialized to base64 string") | ||
|
|
||
| # 5. Simulate network transfer | ||
| print("5. Simulating network transfer") | ||
| received_base64 = base64_string # In reality, this would be sent and received | ||
|
|
||
| # 6. Deserialize after network transfer | ||
| print("6. Deserializing image after network transfer") | ||
| received_image = base64_to_image(received_base64) | ||
| assert isinstance(received_image, Image.Image) | ||
| print(" Image deserialized back to PIL Image") | ||
|
|
||
| # 7. Use the image in a backend model (e.g., OpenAI) | ||
| print("7. Using image in backend model") | ||
| openai_model = MockOpenAIModel() | ||
| converted_message = openai_model._convert_message((received_image, MockMessageType.IMAGE_JPG_BASE64)) | ||
| assert converted_message["type"] == "image_url" | ||
| assert converted_message["image_url"]["url"].startswith("data:image/png;base64,") | ||
| print(" Image successfully converted for use in OpenAI model") | ||
|
|
||
| print("--- Image Processing Path Test Completed Successfully ---") | ||
|
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||
| def test_base64_to_image(self): | ||
| # Convert image to base64 | ||
| base64_string = image_to_base64(self.test_image) | ||
|
|
||
| # Test base64_to_image function | ||
| converted_image = base64_to_image(base64_string) | ||
| assert isinstance(converted_image, Image.Image) | ||
| assert converted_image.size == (100, 100) | ||
|
|
||
| def test_image_to_base64(self): | ||
| # Test image_to_base64 function | ||
| base64_string = image_to_base64(self.test_image) | ||
| assert isinstance(base64_string, str) | ||
|
|
||
| # Verify that the base64 string can be converted back to an image | ||
| converted_image = base64_to_image(base64_string) | ||
| assert converted_image.size == (100, 100) | ||
|
|
||
| # Make sure to stop all patches after the tests |
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Comprehensive review of the TestImageHandling class and related functions.
The TestImageHandling class and its methods provide a structured approach to testing the image handling functionalities introduced in the PR. The use of mocks and patches is appropriate for isolating the tests from external dependencies. The tests are well-documented with print statements that describe each step, which is helpful for understanding the test flow but might be unnecessary in a production environment.
However, consider the following improvements:
- Reduce verbosity: The print statements are useful for debugging but consider removing them or replacing them with logging statements that can be enabled or disabled based on the environment.
- Enhance assertions: While the tests check for types and basic properties, consider adding more detailed assertions that check the content of the images or the exact base64 strings to ensure that the image processing is not only completing but also producing the correct results.
Consider replacing print statements with logging and enhancing assertions for more robust testing.
Example of replacing print with logging:
import logging
logging.basicConfig(level=logging.INFO)
# Replace print statements
logging.info("1. Starting with a PIL Image")Example of enhanced assertions:
# After converting image to base64 and back
original_data = self.test_image.tobytes()
restored_data = converted_image.tobytes()
assert original_data == restored_data, "Image data must remain consistent after conversions."Tools
Ruff
77-77: Line too long (109 > 88)
(E501)
79-79: Line too long (89 > 88)
(E501)
| import io | ||
| import base64 | ||
| import os |
There was a problem hiding this comment.
Remove unused imports.
The imports io, base64, and os are not used anywhere in the file. Removing these will clean up the code and avoid unnecessary dependencies.
Apply this diff to remove the unused imports:
-import io
-import base64
-import osCommittable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| import io | |
| import base64 | |
| import os |
Tools
Ruff
3-3:
ioimported but unusedRemove unused import:
io(F401)
4-4:
base64imported but unusedRemove unused import:
base64(F401)
5-5:
osimported but unusedRemove unused import:
os(F401)
| def chat(self, message: tuple[str, MessageType]): | ||
| request_messages = self._convert_to_request_messages(message) | ||
| response = self.call_api(request_messages) | ||
|
|
||
| assistant_message = response.choices[0].message | ||
| action_list = self._convert_tool_calls_to_action_list(assistant_message) | ||
|
|
||
| output = ChatOutput( | ||
| message=assistant_message.content if not action_list else None, | ||
| action_list=action_list, | ||
| ) | ||
|
|
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| self.record_message(request_messages[-1], assistant_message) | ||
| return output |
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Chat interaction method.
This method handles the chat interaction by converting messages, calling the API, and processing the response. The implementation seems robust, but ensure that the ChatOutput class is defined as it is used here but not imported or defined in this file.
Define or import ChatOutput to resolve the undefined name error:
from crab import ChatOutput # Assuming it's part of the crab moduleTools
Ruff
61-61: Undefined name
ChatOutput(F821)
| def call_api(self, request_messages: list): | ||
| while True: | ||
| try: | ||
| response = self.client.chat.completions.create( | ||
| model=self.model, | ||
| messages=request_messages, | ||
| **self.parameters, | ||
| ) | ||
| except Exception as e: | ||
| print(f"API call failed: {str(e)}. Retrying in 10 seconds...") | ||
| sleep(10) | ||
| else: | ||
| break | ||
|
|
||
| self.token_usage += response.usage.total_tokens | ||
| return response |
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API call method with retry logic.
The method includes retry logic for handling API call failures, which is crucial for maintaining robustness in network interactions. However, consider adding a limit to the number of retries to avoid potential infinite loops.
Add a retry limit to the API call method:
max_retries = 5
attempts = 0
while attempts < max_retries:
try:
...
except Exception as e:
if attempts < max_retries - 1:
print(f"API call failed: {str(e)}. Retrying in 10 seconds...")
sleep(10)
attempts += 1
else:
raise Exception("API call failed after maximum retries.")
else:
break| from typing import Any | ||
| from time import sleep | ||
|
|
||
| from crab import Action, ActionOutput, BackendModel, BackendOutput, MessageType |
There was a problem hiding this comment.
Remove unused import.
The import crab.BackendOutput is not used anywhere in the file.
Apply this diff to remove the unused import:
-from crab import Action, ActionOutput, BackendModel, BackendOutput, MessageType
+from crab import Action, ActionOutput, BackendModel, MessageTypeCommittable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| from crab import Action, ActionOutput, BackendModel, BackendOutput, MessageType | |
| from crab import Action, ActionOutput, BackendModel, MessageType |
Tools
Ruff
19-19:
crab.BackendOutputimported but unusedRemove unused import:
crab.BackendOutput(F401)
|
Close #19 |
| def save_base64_image(image: str, path: str = "image.png") -> None: | ||
| image = Image.open(BytesIO(base64.b64decode(image))) | ||
| image.save(path) | ||
| def save_image(image: str = Field(..., description="Base64 encoded image string"), path: str = Field(..., description="Path to save the image")): |
There was a problem hiding this comment.
I think the pydantic Field cannot be used as the annotations. What did you want to achieve by this modification?
Image Handling Optimization
Changes
Test Results
The
test_image_processing_pathmethod successfully demonstrates the optimized flow:Benefits
Next Steps
Summary by CodeRabbit
New Features
GLMModelclass for improved chat interaction with the ZhipuAI API, allowing for state management and action handling.Bug Fixes
Tests