fix: update GraphQL mutation input type and clean up comments and add… #174
Conversation
…ing interactivity chat to do some tasks
WalkthroughThis pull request updates multiple backend and frontend components. In the backend, GraphQL models, resolvers, and service methods are modified to allow nullable fields, improve error handling, and add new functionalities such as project retrieval. On the frontend, corresponding GraphQL queries, mutations, and types are updated alongside new API routes and utility functions (including XML parsing and file reading adjustments). Additionally, enhancements in hook behavior and stream processing have been implemented. Changes
Sequence Diagram(s)sequenceDiagram
participant C as Client
participant CR as ChatResolver
participant CS as ChatService
C->>CR: saveMessage(input with role)
CR->>CS: saveMessage(input)
CS-->>CR: Boolean result
CR-->>C: Response (Boolean)
sequenceDiagram
participant C as Client
participant API as API Route
participant FR as FileReader
C->>API: GET /api/filestructure?projectId=...
API->>FR: fetchFileStructure(projectId)
FR-->>API: File structure data
API-->>C: File structure response / error
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Actionable comments posted: 5
🔭 Outside diff range comments (1)
backend/src/common/model-provider/openai-model-provider.ts (1)
12-12: 💡 Verification agent🧩 Analysis chain
Resolve the dependency issue for 'codefox-common'
The pipeline is failing due to a missing dependency. Make sure 'codefox-common' is properly installed and configured.
🏁 Script executed:
#!/bin/bash # Check if codefox-common is installed if [ -f package.json ]; then echo "Checking package.json for codefox-common dependency" grep -A 5 "dependencies" package.json | grep "codefox-common" fi # Check if there's a local reference to the package find . -name "codefox-common" -type dLength of output: 253
Resolve Missing Dependency for
codefox-commonThe pipeline is failing because the module isn’t declared as a dependency in the backend’s package.json—even though a local directory (
./codefox-common) exists. To fix this, please update the dependency configuration in your package.json (for example, by adding an entry like"codefox-common": "file:../codefox-common"if this module is meant to be used as a local package). This will ensure that the module is properly installed and available during the pipeline execution.
- File:
backend/src/common/model-provider/openai-model-provider.ts(line 12)- Issue: Missing dependency declaration in package.json despite the local folder presence.
- Recommendation: Add or update the dependency configuration to reference the local package correctly.
🧰 Tools
🪛 GitHub Actions: Run tests and upload coverage
[error] 12-12: TS2307: Cannot find module 'codefox-common' or its corresponding type declarations.
🧹 Nitpick comments (16)
frontend/src/app/api/filestructure/route.ts (2)
24-31: Add type definition for projectId parameterThe
fetchFileStructurefunction is missing type information for its parameter.-async function fetchFileStructure(projectId) { +async function fetchFileStructure(projectId: string) {
7-7: Consider renaming searchParam for clarityThe parameter is named 'path' in the URL but used as 'projectId' in the code. Consider aligning these names for better clarity.
- const projectId = searchParams.get('path'); + const projectId = searchParams.get('projectId');backend/src/chat/chat.resolver.ts (4)
35-38: Consider validating 'input.chatId' before returning the asyncIterator.If 'input.chatId' may be empty or undefined, add a guard clause or fallback to avoid potential runtime errors.
42-54: Validate arguments or handle invalid roles.Consider validating 'input.role' against allowed roles. Currently, any string could be passed, potentially causing issues in your service layer. You could throw a specific error or handle unrecognized roles gracefully.
55-99: Ensure final chunk logic covers all edge cases.The code accumulates content across the stream, then calls
iterator.return()infinally. If the stream ends prematurely oriterator.return()is undefined, consider robust error handling or fallback logic to avoid potential runtime issues. Also be mindful of memory usage for very large streams.
132-144: Return null if project is not found instead of throwing.Currently, you throw an error if no project is found or if fetching fails. Depending on the business logic, returning
null(since the return type is nullable) might provide a more graceful UX. Alternatively, you could differentiate between “no project found” vs. “failed to fetch” errors to enhance clarity.frontend/src/hooks/useChatStream.ts (8)
1-9: Consolidate imports usage.Some of these imports might not be used in the final code snippet (e.g., 'debug' from 'console' or 'set' from 'react-hook-form'). Remove unused imports to keep your code clean.
13-14: Unused imports.'debug' from 'console' and 'set' from 'react-hook-form' do not appear to be used. Consider removing them to avoid confusion.
56-56: Check whether 'isInsideJsonResponse' is used.Currently, 'isInsideJsonResponse' is set to false but doesn't appear to be updated or consumed elsewhere. Consider removing or implementing it if required.
67-78: Multiple new states for file editing steps.These states help manage various editing tasks. However, consider grouping them into a single object if they are often updated together, reducing the risk of stale states.
92-112: Reset states on chatId change.Consider scoping the reset logic if only certain fields need to be cleared. A single complex effect can become a maintenance burden.
155-289: Large onData subscription callback.
- Consider extracting the typewriter logic into a separate utility for clarity and testability.
- If large messages arrive, character-by-character rendering could degrade performance; evaluate chunking or throttling.
- Validate 'chunk.choices?.[0]?.delta?.content' carefully to avoid runtime errors on missing fields.
376-377: Verbose logging.Remove or demote these logs to avoid cluttering the console in production. If needed strictly for debugging, consider conditional logging.
425-495: taskAgent function handles multiple flows.This function is sizable. Consider splitting 'debug', 'refactor', and 'optimize' flows into separate helper functions to enhance readability.
frontend/src/graphql/type.tsx (2)
59-61: Fields made nullable inChatCompletionChoiceTypeThe
deltaandindexfields in ChatCompletionChoiceType have been made optional. This change improves flexibility but may require additional null checks in consuming code.Make sure any code that consumes these fields handles the possibility of null values to prevent runtime errors.
67-70: Multiple fields made nullable inChatCompletionChunkTypeThe
created,model, andobjectfields have been changed from required to optional. This improves API flexibility but might require updates to client-side code.Ensure that consumers of this type are updated to handle potential null values for these fields.
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📒 Files selected for processing (13)
backend/src/chat/chat.model.ts(2 hunks)backend/src/chat/chat.resolver.ts(4 hunks)backend/src/chat/chat.service.ts(2 hunks)backend/src/chat/dto/chat.input.ts(2 hunks)backend/src/common/model-provider/openai-model-provider.ts(3 hunks)frontend/src/app/api/filestructure/route.ts(1 hunks)frontend/src/graphql/request.ts(2 hunks)frontend/src/graphql/schema.gql(4 hunks)frontend/src/graphql/type.tsx(11 hunks)frontend/src/hooks/agentPrompt.ts(1 hunks)frontend/src/hooks/useChatStream.ts(7 hunks)frontend/src/utils/file-reader.ts(1 hunks)frontend/src/utils/parser.ts(1 hunks)
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🪛 GitHub Actions: Run tests and upload coverage
backend/src/common/model-provider/openai-model-provider.ts
[error] 12-12: TS2307: Cannot find module 'codefox-common' or its corresponding type declarations.
🔇 Additional comments (48)
backend/src/chat/dto/chat.input.ts (2)
3-3: Proper import of MessageRole enum.The import statement correctly brings in the
MessageRoleenum from the message model file, which will be used for the new field in theChatInputclass.
30-31:❓ Verification inconclusive
Good addition of the role field to ChatInput.
Adding the
rolefield typed asMessageRoleto theChatInputclass makes the API more versatile by allowing the specification of message roles instead of hardcoding them. This is a good enhancement.However, be aware that this change might require updates in the
model-provider.tsfile mentioned in the TODO comment at line 20.
🏁 Script executed:
#!/bin/bash # Check if the updated ChatInput is used in model-provider.ts and if any adjustments are needed there echo "Checking for usage of ChatInput in model-provider.ts" rg "ChatInput" --type ts "src/common/model-provider" -A 5 -B 5Length of output: 241
Action Required: Verify Model-Provider Update
Great job on adding the
rolefield typed asMessageRoleto theChatInputclass—this enhancement clearly increases the API's flexibility. However, the original note mentioned that updates might be needed in themodel-provider.tsfile (per the TODO on line 20). Our initial check did not find a file at the expected location (src/common/model-provider), suggesting that either the file has been moved or the reference in the TODO is outdated.
- Next Steps:
- Please confirm whether the intended
model-provider.tsfile exists elsewhere in the repository.- If it does exist in a different location, ensure that any necessary adjustments concerning the new
rolefield inChatInputare applied accordingly.- If the file is no longer used or the TODO comment is obsolete, consider updating or removing the comment to prevent future confusion.
backend/src/chat/chat.service.ts (2)
14-14: Appropriate import for the Project model.The import of the Project model is correctly added to support the new method for retrieving projects by chat ID.
95-102: Well-implemented project retrieval method.The
getProjectByChatIdmethod is cleanly implemented with proper error handling. It:
- Queries for chats that aren't deleted
- Correctly includes the project relation
- Gracefully handles the null case instead of throwing exceptions
The method provides a useful way to get project information associated with a chat, likely to support new functionality in the application.
backend/src/common/model-provider/openai-model-provider.ts (2)
121-121: Good addition for handling stream stateAdding
oldStreamValueto store the last received chunk is a good approach for maintaining state, especially for handling stream completion properly.
170-181: Good implementation for handling stream completionThe return implementation correctly handles stream completion by including the last stored chunk value and setting the appropriate status and finish reason.
frontend/src/app/api/filestructure/route.ts (1)
5-22: Well-structured API endpoint with proper error handlingThe GET endpoint is well-structured with appropriate error handling for missing parameters and potential exceptions during execution.
frontend/src/graphql/request.ts (2)
175-183: Well-defined GraphQL query for project retrievalThe new query for retrieving project information based on a chatId is well-structured and includes the essential project properties.
184-188: Well-defined mutation for saving messagesThe new mutation for saving messages is concise and properly typed with the required input parameter.
backend/src/chat/chat.model.ts (4)
78-79: Good enhancement for type flexibilityMaking the
indexfield nullable improves flexibility when handling streaming responses that might have incomplete data.
81-82: Good enhancement for type flexibilityMaking the
deltafield nullable improves flexibility in the data model, especially for handling streaming responses where certain fields might be absent.
93-100: Good enhancement for type flexibilityMaking these fields nullable enhances the data model's flexibility when dealing with partial data or external API responses where certain fields might not always be present.
104-110:❓ Verification inconclusive
Verify compatibility with nullable fields
The
choicesarray is required, while its elements have nullable fields. Ensure that your application properly handles cases where these fields might be null, especially in TypeScript code that expects these values to be defined.
🏁 Script executed:
#!/bin/bash # Search for places where ChatCompletionChunk is used to ensure null handling echo "Searching for usage of ChatCompletionChunk..." rg "ChatCompletionChunk" -A 3 -B 3 --glob "*.ts"Length of output: 10319
Attention: Verify Null Handling in ChatCompletion Choices
The GraphQL schema requires the
choicesarray, but individual elements within it may have nullable properties. Please ensure that every consumer of this data (e.g., in ChatService, ChatResolver, etc.) explicitly handles these potential null values—especially in cases where TypeScript code assumes the properties are defined. This check is crucial to avoid unintended runtime errors when processing chat completions.backend/src/chat/chat.resolver.ts (3)
2-2: Importing StreamStatus is beneficial.
5-5: Import for Message is logically consistent.
15-15: Import for Project appears consistent with usage.frontend/src/hooks/useChatStream.ts (14)
18-26: Modular approach for prompt generation.This is a good approach for separating prompt logic from the main hook, making code more maintainable.
28-32: Proper enumeration of stream statuses.Well-defined enum capturing the streaming states. Great clarity for readability.
34-39: SubscriptionState interface is straightforward.No concerns here.
41-47: Clear prop interface definition.Looks good for typed prop usage, ensuring clarity in the hook’s arguments.
61-62: Tracking currentChatId and cumulatedContent.Using separate states for chat ID and aggregated content is a helpful approach for clarity and debugging.
80-80: Storing project data in state is sensible.No immediate concerns.
82-90: Querying for CurProject on the client side.The approach of skipping the query until 'currentChatId' is non-empty is good to avoid redundant requests.
114-118: Handling projectError with an effect.Logs the error if fetching fails, good for debugging. Optionally consider user-facing error messages if needed.
303-349: startChatStream workflow.Persisting the user message with 'saveMessage' is an excellent improvement. The approach of passing an 'assistant' prompt aligns well with the agent-based tasks.
500-552: Fetching file contents in parallel efficiently.Good use of Promise.all to retrieve multiple files concurrently. Consider more robust error handling for each fetch in case one fails.
587-641: Code review agent logic.Parses 'modified_files' from JSON, merges into ‘newFileContents’, and triggers a review prompt. This is a practical approach for an integrated code review workflow.
643-661: Committing changes agent function.Generating a commit message with the new approach is consistent with your commit prompt. The standardized flow ensures clarity.
15-17:❓ Verification inconclusive
Check environment constraints for 'path' usage.
Some browsers or bundlers may not fully support 'path' from Node. Validate that your environment or bundler is properly configured to handle 'path' usage in the frontend.
🏁 Script executed:
#!/bin/bash rg -A 5 "path from 'path'"Length of output: 15418
Action Required: Verify Node Polyfill Configuration for Frontend Bundling
The import of Node’s built-in "path" module in
frontend/src/hooks/useChatStream.ts(and elsewhere in the frontend) could lead to runtime issues in browser environments if your bundler isn’t set up to polyfill Node core modules. Please double-check your bundler (e.g., Vite, Webpack) configuration to ensure that Node’s "path" is either properly polyfilled (for example, usingpath-browserifyor an equivalent plugin) or replaced with a browser-compatible alternative if its functionality is needed in the browser.
- Verify Bundler Configurations:
- If using Vite, confirm that you have a plugin or configuration setting for Node polyfills.
- If using Webpack, ensure the
resolve.fallbackfor "path" is defined.
556-585:❓ Verification inconclusive
Applying changes to local files.
Confirm that the backend
/api/fileendpoint is secure and properly authenticates users. Otherwise, malicious requests could overwrite files. Let’s search usage of/api/filein the codebase:
🏁 Script executed:
#!/bin/bash rg "/api/file"Length of output: 670
Security Verification of /api/file Endpoint
The frontend code that calls the
/api/fileendpoint appears to work as expected when applying file changes. However, please double-check the backend implementation infrontend/src/app/api/file/route.tsto ensure that it enforces proper authentication (e.g., validating sessions or tokens) before authorizing file modifications. This verification is crucial to avoid potential unauthorized or malicious changes.
- Files to review:
frontend/src/app/api/file/route.tsfrontend/src/hooks/agentPrompt.ts (8)
1-60: Centralized system prompt definition.Encapsulating system-level instructions in one function is a good practice, making the prompts consistent across multiple tasks.
61-97: Leader prompt sets the stage for analyzing user requirements.Appropriately references systemPrompt and ensures structured JSON output, which aligns with your AI-based tasks.
98-134: Refactor prompt.Clearly directs the AI to return structured JSON describing refactoring changes. The instructions about code modularization are suitably detailed.
135-171: Optimize prompt for performance improvements.Covers typical re-render or API inefficiency scenarios. Well-structured for highlighting performance bottlenecks.
172-215: Prompt for file editing.Captures a robust approach to guiding the AI through analyzing bug descriptions and file contents. Good clarity in how the updated code must be returned.
216-255: Prompt for code reviews.Straightforward instructions for the AI to provide a structured review result, including 'review_result' and 'comments'.
256-290: Prompt for generating commit messages.Ensures commits are documented clearly and concisely, aligned with conventional commit standards.
291-325: Prompt for bug diagnosis.Focuses on identifying potentially affected files and returning them in a structured JSON output.
frontend/src/graphql/type.tsx (5)
165-165: NewsaveMessagemutation addedA new mutation for saving messages has been introduced, along with its corresponding argument type.
This is a good addition that provides a dedicated method for saving chat messages.
Also applies to: 221-223
298-298: NewgetCurProjectquery addedA new query has been added to retrieve the current project based on a chatId.
This is a useful addition that enables retrieving project context within chat interactions.
Also applies to: 326-328
787-792: Resolver implementation forsaveMessagemutationThe resolver implementation for the new saveMessage mutation has been properly defined.
The implementation correctly specifies the return type and required input parameters.
925-930: Resolver implementation forgetCurProjectqueryThe resolver implementation for the new getCurProject query has been properly defined.
The implementation correctly specifies the return type and required chatId parameter.
84-84:✅ Verification successful
Required
rolefield added to ChatInputTypeThe addition of a required
rolefield to ChatInputType is a breaking change that might affect existing code using this type.Verify that all places using ChatInputType are updated to include the role parameter:
🏁 Script executed:
#!/bin/bash # Search for places using ChatInputType without providing role rg "ChatInputType|triggerChatStream|chatStream" -A 5 -B 5 --type ts --type tsxLength of output: 108
Attention: Verify updates in ChatInputType usage
The update at
frontend/src/graphql/type.tsx(line 84) adds a requiredrolefield toChatInputType, which is a breaking change. Please manually verify that all usages ofChatInputType(including calls in contexts liketriggerChatStreamorchatStream) have been updated to include theroleparameter. The above script now correctly searches both.tsand.tsxfiles—use its output to confirm there are no cases missing the new field.--- 🏁 Script executed: ```shell #!/bin/bash # Re-run the search command using corrected globs for TypeScript files. rg "ChatInputType" --glob "*.ts" --glob "*.tsx" -A 5 -B 5Length of output: 16625
All instances of ChatInputType now include the required
roleparameter.
We verified that every usage—such as infrontend/src/hooks/useChatStream.tsand within GraphQL request definitions—appropriately passes arolevalue. No branch of the codebase was found to be missing this update.frontend/src/graphql/schema.gql (5)
19-21: Fields made nullable inChatCompletionChoiceTypeThe
deltaandindexfields have been made nullable in the schema. This provides more flexibility in handling API responses.This matches the corresponding changes in the TypeScript definitions.
26-29: Multiple fields made nullable inChatCompletionChunkTypeThe
created,model, andobjectfields have been made nullable. This allows for more flexible API responses.This is consistent with the changes in the TypeScript types file.
42-42: Requiredrolefield added to ChatInputTypeA new required field
role: String!has been added to the ChatInputType input type.Since this is a breaking change, ensure all clients sending chat inputs have been updated to include the role field. The role should be one of the values defined in the Role enum (Assistant, System, or User).
121-121: NewsaveMessagemutation addedA new mutation has been added to save chat messages, taking a ChatInputType and returning a Boolean.
This provides a clear API endpoint for saving chat messages.
179-179: NewgetCurProjectquery addedA new query has been added to retrieve the current project associated with a chat.
This enhances the API by providing a way to get project context from a chat ID.
frontend/src/utils/file-reader.ts
Outdated
| const content = newContent.trim(); | ||
| console.log(content); | ||
| console.log('log content'); |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Remove debugging logs and clarify content handling changes.
The changes to the updateFile method have removed JSON parsing in favor of simple string trimming. Additionally, debugging console logs have been added that don't provide meaningful context.
Consider:
- Removing console.log statements that don't provide useful debugging information
- Clarifying whether removing JSON parsing was intentional - if content should still be validated as JSON, add appropriate validation
- const content = newContent.trim();
- console.log(content);
- console.log('log content');
+ const content = newContent.trim();
+ // Validate content if needed (e.g., check JSON validity if required)📝 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.
| const content = newContent.trim(); | |
| console.log(content); | |
| console.log('log content'); | |
| const content = newContent.trim(); | |
| // Validate content if needed (e.g., check JSON validity if required) |
frontend/src/utils/parser.ts
Outdated
| export const parseXmlToJson = (xmlString: string) => { | ||
| console.log(xmlString); | ||
| const match = xmlString.match(/<jsonResponse>([\s\S]*?)<\/jsonResponse>/); | ||
| console.log(match); | ||
| console.log(match[1]); | ||
| if (!match || !match[1]) { | ||
| throw new Error('Invalid XML: No <jsonResponse> element found'); | ||
| } | ||
|
|
||
| const jsonText = match[1].trim(); | ||
| console.log(jsonText); | ||
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| try { | ||
| return JSON.parse(jsonText); | ||
| } catch (error) { | ||
| throw new Error( | ||
| 'Invalid JSON: Failed to parse content inside <jsonResponse>' + error | ||
| ); | ||
| } | ||
| }; |
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🛠️ Refactor suggestion
Clean up debug logging and improve XML parsing approach.
The parseXmlToJson function needs several improvements for production code:
- Remove the numerous console.log statements (lines 2, 4, 5, 11)
- The error handling in line 6 has an issue - it will attempt to access
match[1]after checking ifmatchexists, but before validating thatmatch[1]exists - Consider using a proper XML parser library instead of regex for more robust parsing
- Include the original input in error messages to aid debugging
export const parseXmlToJson = (xmlString: string) => {
- console.log(xmlString);
const match = xmlString.match(/<jsonResponse>([\s\S]*?)<\/jsonResponse>/);
- console.log(match);
- console.log(match[1]);
- if (!match || !match[1]) {
+ if (!match) {
throw new Error('Invalid XML: No <jsonResponse> element found');
}
+
+ if (!match[1]) {
+ throw new Error('Empty content in <jsonResponse> tags');
+ }
const jsonText = match[1].trim();
- console.log(jsonText);
try {
return JSON.parse(jsonText);
} catch (error) {
throw new Error(
- 'Invalid JSON: Failed to parse content inside <jsonResponse>' + error
+ `Invalid JSON: Failed to parse content inside <jsonResponse>: ${error.message}`
);
}
};For a more robust solution, consider using an XML parser library like fast-xml-parser or xml2js.
📝 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.
| export const parseXmlToJson = (xmlString: string) => { | |
| console.log(xmlString); | |
| const match = xmlString.match(/<jsonResponse>([\s\S]*?)<\/jsonResponse>/); | |
| console.log(match); | |
| console.log(match[1]); | |
| if (!match || !match[1]) { | |
| throw new Error('Invalid XML: No <jsonResponse> element found'); | |
| } | |
| const jsonText = match[1].trim(); | |
| console.log(jsonText); | |
| try { | |
| return JSON.parse(jsonText); | |
| } catch (error) { | |
| throw new Error( | |
| 'Invalid JSON: Failed to parse content inside <jsonResponse>' + error | |
| ); | |
| } | |
| }; | |
| export const parseXmlToJson = (xmlString: string) => { | |
| const match = xmlString.match(/<jsonResponse>([\s\S]*?)<\/jsonResponse>/); | |
| if (!match) { | |
| throw new Error('Invalid XML: No <jsonResponse> element found'); | |
| } | |
| if (!match[1]) { | |
| throw new Error('Empty content in <jsonResponse> tags'); | |
| } | |
| const jsonText = match[1].trim(); | |
| try { | |
| return JSON.parse(jsonText); | |
| } catch (error) { | |
| throw new Error( | |
| `Invalid JSON: Failed to parse content inside <jsonResponse>: ${error.message}` | |
| ); | |
| } | |
| }; |
| console.log('isDone:', chunk.done); | ||
| console.log('chunk:', chunk); | ||
| if (!chunk.done) oldStreamValue = chunkValue; |
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🛠️ Refactor suggestion
Remove debugging console logs before merging
These console logs appear to be debugging statements that should be removed before merging to production. They could potentially log sensitive information and will clutter the console.
- console.log('isDone:', chunk.done);
- console.log('chunk:', chunk);📝 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.
| console.log('isDone:', chunk.done); | |
| console.log('chunk:', chunk); | |
| if (!chunk.done) oldStreamValue = chunkValue; | |
| if (!chunk.done) oldStreamValue = chunkValue; |
| console.log(stream); | ||
| console.log(streamIterator); | ||
| console.log('return() called'); |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Remove debugging console logs before merging
These console logs should be removed before merging to production.
- console.log(stream);
- console.log(streamIterator);
- console.log('return() called');📝 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.
| console.log(stream); | |
| console.log(streamIterator); | |
| console.log('return() called'); |
| path | ||
| projectPackages { | ||
| id | ||
| content | ||
| } |
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💡 Verification agent
🧩 Analysis chain
Verify frontend usage after mutation response change
The response structure of UPDATE_PROJECT_PUBLIC_STATUS has changed from returning isPublic to returning path and adding projectPackages. Make sure all frontend code that uses this mutation is updated accordingly.
🏁 Script executed:
#!/bin/bash
# Search for references to updateProjectPublicStatus that might need updating
echo "Searching for updateProjectPublicStatus usage..."
rg -A 5 -B 5 "updateProjectPublicStatus" --glob "*.{ts,tsx,js,jsx}"Length of output: 9517
Action: Update mutation handling in frontend to align with updated response structure
It looks like the GraphQL mutation definition in frontend/src/graphql/request.ts now returns path and projectPackages (with fields such as id and content) instead of the old isPublic field. However, the client code—specifically in frontend/src/components/chat/code-engine/project-context.tsx—still relies on data.updateProjectPublicStatus.isPublic for displaying toast messages and updating local state.
Please adjust the following:
- Toast Success Message: Modify the onCompleted handler so that it no longer uses
isPublic(e.g., update the message logic if the new fields can determine visibility). - State Updates: Update the state management logic in
project-context.tsxthat currently expects anisPublicproperty (e.g., update the mapping of projects and setting of the current project) so that it conforms to the new API response.
Review all usages of updateProjectPublicStatus to ensure that the new response structure is fully supported.
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🧹 Nitpick comments (1)
frontend/src/graphql/type.tsx (1)
90-90: Requiredrolefield added to ChatInputType.The addition of a required
rolefield to the ChatInputType will help differentiate between different message types in the chat.Consider using the existing
Roleenum type for better type safety rather than a string:- role: Scalars['String']['input']; + role: Role;
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🔇 Additional comments (9)
frontend/src/graphql/request.ts (3)
176-184: New GET_CUR_PROJECT query looks good.This query to retrieve a project by chatId provides a useful endpoint for getting project context in chat functionality.
185-189: Added SAVE_MESSAGE mutation supports persisting chat messages.This new mutation will allow saving messages, enhancing the chat feature's functionality.
237-241: UPDATE_PROJECT_PUBLIC_STATUS mutation now returns different fields.The mutation response has been updated to return
pathandprojectPackagesinstead of the previousisPublicfield.This change requires updating all places in the code that use this mutation response. Please check for any UI components that might be expecting the
isPublicfield in the response.#!/bin/bash # Search for places that use UPDATE_PROJECT_PUBLIC_STATUS mutation response echo "Searching for places using updateProjectPublicStatus mutation response..." rg -A 5 "updateProjectPublicStatus" --glob "*.{ts,tsx}"frontend/src/graphql/type.tsx (6)
65-67: ChatCompletionChoiceType fields are now optional.Making the
delta,finishReason, andindexfields optional improves compatibility with API responses that might not include these fields.
73-76: ChatCompletionChunkType fields are now optional.Similar to the previous change, making the
created,model, andobjectfields optional helps handle more flexible API responses.
228-230: New MutationSaveMessageArgs type added.This properly defines the arguments for the new saveMessage mutation.
338-340: New QueryGetCurProjectArgs type added.This supports the new getCurProject query for retrieving a project by chatId.
816-821: New saveMessage resolver defined.The resolver is properly typed to match the GraphQL schema definition.
960-965: New getCurProject resolver defined.The resolver follows the correct typing pattern for the GraphQL schema.
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Actionable comments posted: 4
🧹 Nitpick comments (18)
frontend/src/hooks/multi-agents/managerAgent.ts (1)
85-85: Address linter complaint about thewhile (true)loop.
This may cause a pipeline failure due to “unexpected constant condition.” Consider a more descriptive condition or disable the rule locally if the loop is intentional.Example fix:
-while (true) { +let continueLoop = true; +while (continueLoop) { ... if (responseJson.status === 'END') { continueLoop = false; } }🧰 Tools
🪛 GitHub Check: autofix
[failure] 85-85:
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[error] 85-85: Unexpected constant condition.
frontend/src/hooks/useChatStream.ts (9)
13-14: Unused imports
The importssetfrom 'react-hook-form' anddebugfrom 'console' don't appear to be used. Cleaning them out can reduce clutter and potential confusion.- import { set } from 'react-hook-form'; - import { debug } from 'console';
15-17: Potential error handling for XML parsing
parseXmlToJsonis imported, but there's no visible fallback or error handling if the XML is malformed. Consider wrapping usage in a try/catch to avoid runtime exceptions.+ try { + const parsedContent = parseXmlToJson(cumulatedContent); + // ... + } catch (e) { + console.error("Failed to parse XML response", e); + }
34-47: Well-defined interfaces for subscription logic
BothSubscriptionStateandUseChatStreamPropsinterfaces improve type safety. Consider making fields optional or using more explicit union types if you expect certain properties to be absent.
56-56: Large state usage in a single hook
Multiple local states (isInsideJsonResponse,taskDescription,fileStructure, etc.) increase the complexity ofuseChatStream. For better maintainability, consider grouping related states into a reducer or a context if they are semantically related.Also applies to: 61-62, 67-80
82-118: Project fetching and error handling
TheuseQueryforGET_CUR_PROJECTand subsequentuseEffectto refetch data is a practical approach. However, you only log the error to console ifprojectErroroccurs. Consider user-facing error states or fallback UI to improve clarity and UX.
147-156: Subscription onData logic
YouronDatacallback checks forchatStreamnullability and updates the UI state. The current approach works, but be aware of unsubscribing or cleaning up if a user navigates away mid-stream to avoid potential memory leaks.Also applies to: 159-159, 162-162
167-167: Accumulating content and text streaming
Appending tocumulatedContentand then parsing it into JSON is creative. Ensure that extremely large messages don't degrade performance or cause out-of-memory issues. The typewriter effect is nice for UX but can be CPU bound if the text is long; consider a speed-limiting option or user-cancel button.Also applies to: 170-170, 173-174, 177-183, 186-245
248-290: Modular tasks in switch statement
Calling different agents (taskAgent,editFileAgent, etc.) is a flexible design. However, a fallbackdefaultcase (even if just logging an unrecognized task) might help detect unexpectedtaskStepvalues.
375-392: handleSubmit logic
The ability to create a new chat or continue an existing one is straightforward. Consider adding a loading or disabled state for the form to prevent accidental double submits.frontend/src/hooks/multi-agents/agentPrompt.ts (3)
61-97: Task classification logic
leaderPromptclarifies how to detect a debugging, optimizing, or unrelated request. This is helpful context. Ensure that more complex tasks (like both debugging and refactoring) are gracefully handled, or at least recognized, in future expansions.
98-215: Refactor, optimize, and edit file prompts
These prompts provide clear instructions for specialized tasks (refactoring, optimizing, or editing files). They embed instructions for the AI to produce carefully structured JSON. This approach is fine, though combining large strings can impose maintainability concerns if they grow further.
256-289: Commit changes prompt
The commit message prompt includes separatecommit_messageandthinking_process. This clarifies what to write in the commit log. Keep an eye out for potential expansions, such as referencing issue IDs or merging references.frontend/src/hooks/multi-agents/tools.ts (5)
17-85:taskAgentimplementation
The logic to fetch a file structure once and store it is sensible. However, ensure that repeated calls (e.g., switching tasks within the same chat) correctly update or reuse the file structure. A fallback or default case for unknown tasks (like "unrelated") might avoid silent no-ops.
87-147:editFileAgentretrieval of file contents
Fetching file contents per path is a practical approach. Consider concurrency limits or error handling if a file fetch fails. Right now, it logs console errors; adding sticky notifications or UI feedback might improve the user experience.
149-186:applyChangesAgentwrites updated files
Posting to/api/filewith new content is straightforward. For large files, watch out for potential timeouts or large payload sizes. Also, the agent automatically callscommitChangesAgentafter applying changes. Confirm that’s always desired, or allow the user to confirm first.
188-242:codeReviewAgentJSON parsing
There's a try/catch block to handle potential parsing issues withmodified_files. This is good practice, though you may want to add user-facing error feedback (viatoast.error) to explain that the code review input was invalid.
271-296:createChatandstartChatStreamplaceholders
These are simple placeholders that log to console and simulate chat creation/stream start. Ensure they integrate with real GraphQL mutations in production. Failure states should be handled with user feedback.
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frontend/src/hooks/multi-agents/agentPrompt.ts(1 hunks)frontend/src/hooks/multi-agents/agentType.ts(1 hunks)frontend/src/hooks/multi-agents/managerAgent.ts(1 hunks)frontend/src/hooks/multi-agents/managerContext.ts(1 hunks)frontend/src/hooks/multi-agents/toolNodes.ts(1 hunks)frontend/src/hooks/multi-agents/tools.ts(1 hunks)frontend/src/hooks/useChatStream.ts(7 hunks)
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🔇 Additional comments (14)
frontend/src/hooks/multi-agents/agentType.ts (2)
1-5: Interfaces look good overall.
Introduces a clear contract for manager agent inputs. No issues noted.
7-10: Straightforward response interface.
This is well-structured and easy to maintain. No changes required.frontend/src/hooks/multi-agents/toolNodes.ts (1)
20-57: All tool implementations are well-organized.
The overall structure is good, and each tool has a cleartoolName,behavior, anddescription.frontend/src/hooks/multi-agents/managerContext.ts (1)
5-36: Context interface is comprehensive.
Properties and setters are well-defined. Integration with GraphQL types is consistent.frontend/src/hooks/useChatStream.ts (5)
1-9: Appropriate import additions, no immediate issues observed
These lines add necessary imports from React and Apollo libraries. The usage appears correct and follows standard practices for integrating React hooks with Apollo.
28-32: Clear enumeration for stream states
IntroducingStreamStatusas an enum helps maintain clarity around possible streaming states. This is a good pattern for consistent status checks.
137-137: Mutation usage
UsingsaveMessageandcreateChatis straightforward. Make sure to handle any concurrency or race conditions when rapidly creating or switching chats. For example, a user might click “new chat” multiple times in quick succession.Also applies to: 141-141
303-315: Initiating chat with user and assistant prompts
Creating combined user and assistant input, then triggering the chat is well structured. Be sure to validatemessagecontent for length or forbidden characters if the user input might be malicious.Also applies to: 324-325, 329-337, 340-349
663-672: Returning final hook API
ExposingloadingSubmit,handleSubmit,handleInputChange, and others is standard. This nicely finalizes the custom hook’s interface for consuming components.frontend/src/hooks/multi-agents/agentPrompt.ts (3)
1-59: Structured system prompt
ThesystemPromptfunction strictly enforces a JSON-in-XML response format. This is an effective way to standardize outputs. However, be sure that the AI always correctly wraps the JSON, as any user-provided code or chain-of-thought might disrupt the strict format.
216-255: Code review prompt
The prompt structure for code review is descriptive and consistent with the rest of the system. If future code review expansions are needed (e.g., security scanning or style checks), this format can be extended easily.
291-324: Bug-finding prompt
findbugPrompteffectively guides the AI to identify likely affected files. The usage is consistent with the other tasks. Just confirm that your code doesn't trip up if it encounters an unusual bug scenario that doesn't fit typical patterns.frontend/src/hooks/multi-agents/tools.ts (2)
1-16: Import statements and commentary
Imports forChatInputType,toast, and the various prompt generators are organized. The high-level code comment clarifies the module's purpose, providing quick insight into how tasks are handled.
244-269:commitChangesAgent
Composing the commit message from the user-provided changes is a nice final step. Consider ensuring these messages meet a typical commit style guideline if your project follows one (e.g., Conventional Commits).
| export interface Tool { | ||
| toolName: string; | ||
| behavior: string; | ||
| description: string; | ||
| } |
There was a problem hiding this comment.
Flag mismatch with implementation of Tool interface.
Here, behavior is declared as a string, but in toolNodes.ts, it’s a function (input: ChatInputType) => Promise<void>. This can lead to runtime errors or TypeScript type mismatches.
To fix, align them under a single definition, for example:
export interface Tool {
toolName: string;
- behavior: string;
+ behavior: (input: ChatInputType) => Promise<void>;
description: string;
}📝 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.
| export interface Tool { | |
| toolName: string; | |
| behavior: string; | |
| description: string; | |
| } | |
| export interface Tool { | |
| toolName: string; | |
| behavior: (input: ChatInputType) => Promise<void>; | |
| description: string; | |
| } |
| export interface Tool { | ||
| toolName: string; | ||
| behavior: (input: ChatInputType) => Promise<void>; | ||
| description: string; | ||
| } |
There was a problem hiding this comment.
Mismatched parameter signature for behavior.
The Tool interface in agentType.ts differs, defining behavior as a string. Ensure both definitions match to avoid type conflicts.
| async function executeTool( | ||
| toolName: string, | ||
| input: ManagerAgentInput, | ||
| context: ManagerContext | ||
| ): Promise<string> { | ||
| const tool = managerTools.find((t) => t.toolName === toolName); | ||
| if (!tool) { | ||
| throw new Error(`Tool ${toolName} not found`); | ||
| } | ||
| // 调用工具的 behavior 方法，并返回真实的 JSON 字符串结果 | ||
| return await tool.behavior(input, context); | ||
| } |
There was a problem hiding this comment.
Check for type compatibility with behavior.
executeTool passes context to tool.behavior, yet the Tool interface in toolNodes.ts only accepts a single parameter. Clarify the function signatures to avoid runtime or TypeScript errors.
frontend/src/hooks/useChatStream.ts
Outdated
| console.log('Updating file:', filePath); | ||
| console.log('New Content:', newContent); | ||
| const fpath = path.join(curProject.projectPath, filePath); | ||
| await fetch('/api/file', { | ||
| method: 'POST', | ||
| credentials: 'include', | ||
| headers: { 'Content-Type': 'application/json' }, | ||
| body: JSON.stringify({ filePath: fpath, newContent }), | ||
| }); | ||
| } | ||
| ); | ||
|
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||
| await Promise.all(updatePromises); | ||
| setTaskStep('apply_changes'); | ||
| toast.success('Changes applied successfully'); | ||
| commitChangesAgent({ | ||
| chatId: input.chatId, | ||
| message: JSON.stringify(newFileContents), | ||
| model: input.model, | ||
| role: 'assistant', | ||
| }); | ||
| }, | ||
| [newFileContents] | ||
| ); | ||
|
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| const codeReviewAgent = useCallback(async (input: ChatInputType) => { | ||
| console.log('codeReviewAgent called with input:', input); | ||
|
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| let parsedMessage: { [key: string]: string } = {}; | ||
|
|
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| try { | ||
| if (typeof input.message === 'string') { | ||
| const parsedObject = JSON.parse(input.message); | ||
|
|
||
| if ( | ||
| parsedObject.modified_files && | ||
| typeof parsedObject.modified_files === 'object' | ||
| ) { | ||
| parsedMessage = parsedObject.modified_files; | ||
| } else { | ||
| console.error('modified_files is missing or not an object'); | ||
| } | ||
| } | ||
| } catch (error) { | ||
| console.error('Failed to parse input.message:', error); | ||
| } | ||
|
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| console.log('Parsed modified_files:', parsedMessage); | ||
|
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| console.log('Parsed Message:', parsedMessage); | ||
|
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| setNewFileContents((prev) => ({ ...prev, ...parsedMessage })); | ||
|
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| const formattedMessage = Object.entries(parsedMessage) | ||
| .map( | ||
| ([filePath, content]) => | ||
| `### File: ${filePath}\n\`\`\`\n${content}\n\`\`\`` | ||
| ) | ||
| .join('\n\n'); | ||
|
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| const prompt = codeReviewPrompt(formattedMessage); | ||
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| const promptInput: ChatInputType = { | ||
| chatId: input.chatId, | ||
| message: prompt, | ||
| model: input.model, | ||
| role: 'assistant', | ||
| }; | ||
|
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| console.log('Prompt Input:', promptInput); | ||
| setTaskStep('code_review'); | ||
| setStreamStatus(StreamStatus.STREAMING); | ||
| setSubscription({ | ||
| enabled: true, | ||
| variables: { input: promptInput }, | ||
| }); | ||
|
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| await new Promise((resolve) => setTimeout(resolve, 100)); | ||
| await triggerChat({ variables: { input: promptInput } }); | ||
| }, []); | ||
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| const commitChangesAgent = useCallback(async (input: ChatInputType) => { | ||
| console.log('commitChangesAgent called with input:', input); | ||
| const prompt = commitChangesPrompt(input.message); | ||
| const promptInput: ChatInputType = { | ||
| chatId: input.chatId, | ||
| message: prompt, | ||
| model: input.model, | ||
| role: 'assistant', | ||
| }; | ||
| console.log('Prompt Input:', promptInput); | ||
| setTaskStep('commit'); | ||
| setStreamStatus(StreamStatus.STREAMING); | ||
| setSubscription({ | ||
| enabled: true, | ||
| variables: { input: promptInput }, | ||
| }); | ||
| await new Promise((resolve) => setTimeout(resolve, 100)); | ||
| await triggerChat({ variables: { input: promptInput } }); | ||
| }, []); |
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🛠️ Refactor suggestion
Potential duplication with existing tools
The embedded definitions for taskAgent, editFileAgent, applyChangesAgent, codeReviewAgent, and commitChangesAgent appear identical or very similar to the logic in multi-agents/tools.ts. Maintaining them in two places can lead to inconsistencies. Refactor to avoid duplication and keep a single source of truth.
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🧹 Nitpick comments (1)
backend/src/chat/chat.service.ts (1)
102-109: Consider adding logging for improved debugging.The implementation of
getProjectByChatIdlooks good and follows the pattern of other methods in the service. However, consider adding logging (using the Logger) to track when projects or chats are not found, which would help with debugging.async getProjectByChatId(chatId: string): Promise<Project> { const chat = await this.chatRepository.findOne({ where: { id: chatId, isDeleted: false }, relations: ['project'], }); + + if (!chat) { + Logger.log(`Chat with id ${chatId} not found when retrieving project`); + } else if (!chat.project) { + Logger.log(`No project associated with chat id ${chatId}`); + } return chat ? chat.project : null; }
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🚧 Files skipped from review as they are similar to previous changes (2)
- frontend/src/utils/file-reader.ts
- frontend/src/hooks/useChatStream.ts
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🔇 Additional comments (2)
backend/src/chat/chat.service.ts (2)
14-14: LGTM: Clean import addition.The import of the
Projectmodel is correctly added to support the new method functionality.
102-109:❓ Verification inconclusive
Verify consistent error handling with other service methods.
The method returns
nullfor not-found cases instead of throwing aNotFoundExceptionlikegetChatDetails. This appears to be a deliberate choice to handle the not-found case gracefully, similar to methods likegetChatHistory. Verify that this is the intended behavior for this use case.
🏁 Script executed:
#!/bin/bash # Check how error handling is implemented in the GraphQL resolver that calls this method # Look for the resolver that uses the getProjectByChatId method rg -A 10 "getCurProject|getProjectByChatId" --type ts --glob="**/*.resolver.ts"Length of output: 936
Confirm the Intended Error Handling Behavior for
getProjectByChatIdAfter verifying the resolver that calls this method (see
backend/src/chat/chat.resolver.ts), it appears that the code is designed to returnnullfor a not-found chat instead of throwing aNotFoundException, similar to the approach taken ingetChatHistory. The resolver wraps the call in a try-catch block but does not perform an explicit check for anullresponse, which suggests this behavior is deliberate.
- Review the usage: The resolver calls
getProjectByChatIdand logs the result directly before returning it.- Confirm intent: Ensure that, for this use case, returning
nullis the expected and documented behavior. If returningnullis intended, consider adding a comment in the service method to clarify this design decision for future maintainers.
…ge saving logic in managerAgent
…as a single message
…ect and await functionality
…secutive assistant messages
…elated components for enhanced file handling
…unescaped content
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Actionable comments posted: 3
🧹 Nitpick comments (5)
frontend/src/api/ChatStreamAPI.ts (1)
31-68: Incomplete streaming implementation with TODOs.There's a large commented-out section for handling streaming responses. This could lead to confusion about what's implemented vs. what's planned.
Consider either:
- Implementing the streaming functionality now
- Moving the commented code to a separate file as a reference
- Converting it to a proper TODO with less code to reduce visual noise
frontend/src/hooks/useChatStream.ts (2)
35-36: Remove console.log statements before production.Debug logging statements should be removed before code goes to production.
- console.log('curProject:', curProject);
130-131: Remove debug console.log statements.These debug statements should be removed before production.
- console.log('currentChatId: ' + currentChatId); - console.log('Creating new chat...');frontend/src/hooks/multi-agent/tools.ts (1)
223-326: Line-by-line animation is user-friendly but can be slow for large files.
The progressive content update is a creative approach. If project files scale up, you could consider an option to skip or speed up the animation for better performance.frontend/src/hooks/multi-agent/agentPrompt.ts (1)
6-34: Improve type safety foreditorRef.
TheeditorRefproperty is declared asReact.MutableRefObject<any>which weakens type checking. Consider using a more specific type or introducing a generic type parameter to avoid over-reliance onany. This leads to more reliable IntelliSense and compile-time checks.
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backend/src/chat/chat.controller.ts(2 hunks)frontend/src/api/ChatStreamAPI.ts(1 hunks)frontend/src/components/chat/code-engine/code-engine.tsx(2 hunks)frontend/src/components/chat/code-engine/project-context.tsx(5 hunks)frontend/src/graphql/schema.gql(5 hunks)frontend/src/graphql/type.tsx(12 hunks)frontend/src/hooks/multi-agent/agentPrompt.ts(1 hunks)frontend/src/hooks/multi-agent/managerAgent.ts(1 hunks)frontend/src/hooks/multi-agent/toolNodes.ts(1 hunks)frontend/src/hooks/multi-agent/tools.ts(1 hunks)frontend/src/hooks/useChatStream.ts(5 hunks)frontend/src/utils/parser.ts(1 hunks)
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🧰 Additional context used
🧬 Code Definitions (3)
frontend/src/api/ChatStreamAPI.ts (1)
frontend/src/graphql/type.tsx (1) (1)
ChatInputType(86:91)
frontend/src/hooks/useChatStream.ts (4)
frontend/src/components/chat/code-engine/project-context.tsx (1) (1)
ProjectContext(55:57)frontend/src/graphql/request.ts (1) (1)
SAVE_MESSAGE(185:189)frontend/src/graphql/type.tsx (1) (1)
ChatInputType(86:91)frontend/src/hooks/multi-agent/managerAgent.ts (1) (1)
managerAgent(41:223)
frontend/src/hooks/multi-agent/managerAgent.ts (5)
frontend/src/graphql/type.tsx (2) (2)
ChatInputType(86:91)Message(145:155)frontend/src/hooks/multi-agent/agentPrompt.ts (2) (2)
AgentContext(6:34)confirmationPrompt(396:465)frontend/src/api/ChatStreamAPI.ts (1) (1)
startChatStream(3:71)frontend/src/utils/parser.ts (1) (1)
parseXmlToJson(4:23)frontend/src/hooks/multi-agent/toolNodes.ts (1) (1)
findToolNode(110:112)
🔇 Additional comments (41)
backend/src/chat/chat.controller.ts (3)
35-35: Addition of explicit role parameter for streamChat.The
role: MessageRole.Userparameter has been added to thestreamChatmethod call. This change aligns with the removal of direct message saving in the controller, suggesting that role information is now passed to the proxy service to handle message persistence elsewhere in the system.
56-56: Addition of explicit role parameter for chatSync.Similar to the streaming endpoint, the
role: MessageRole.Userparameter has been added to thechatSyncmethod call. This maintains consistency between the streaming and non-streaming implementations, ensuring both methods properly identify the message originator.
18-66: Improved separation of concerns in chat handling.The removal of direct message saving from the controller (as indicated in the summary) is a positive architectural change. By delegating message persistence to the service layer and only passing the necessary role information, the controller now has a cleaner, more focused responsibility of handling HTTP requests and responses.
frontend/src/components/chat/code-engine/code-engine.tsx (2)
23-24: You've correctly integrated the editor reference from the project context.Nice work on accessing
editorReffrom the ProjectContext instead of managing it locally. This centralization improves component interaction and state management.
199-200: Simplified API request body by removing unnecessary JSON.stringify()The change from
JSON.stringify(value)to justvalueindicates the API now expects the raw content directly. This simplifies the code and reduces unnecessary serialization.frontend/src/components/chat/code-engine/project-context.tsx (5)
52-53: Good addition of the editor reference to the ProjectContextType interface.This addition makes the type definition complete and properly documents the new capability of the context.
107-108: Correctly initialized the editor reference.Properly initializing
editorRefwithuseRef<any>(null)ensures it's ready to be used throughout the component lifecycle.
330-331: Enhanced state update to ensure immutability.The change from
setProjects(data.getUserProjects)tosetProjects([...data.getUserProjects])creates a new array reference, which is a React best practice for reliable re-rendering.
916-917: Properly included editorRef in the context value.The editor reference is now correctly exposed through the context.
932-933: Correctly updated the useMemo dependencies.Good job adding
editorRefto the useMemo dependencies array to ensure the context value is recalculated when the reference changes.frontend/src/api/ChatStreamAPI.ts (3)
3-11: Well-structured function signature with proper parameter validation.The function is well-defined with appropriate parameters and includes error handling for authentication.
26-30: Good error handling for network responses.The function properly checks for response success and throws informative errors.
69-71: Simple non-streaming response handling.The non-streaming response is correctly handled to extract and return just the content.
frontend/src/hooks/useChatStream.ts (6)
1-11: Updated imports to support new functionality.The imports reflect the architectural changes, particularly the integration with the
managerAgentand project context.
13-19: Improved interface visibility by exporting UseChatStreamProps.Making the interface exported allows it to be reused across the application, improving code modularity.
31-39: Added project context integration with state management.The component now properly integrates with the project context and maintains local state for the project path.
63-64: Added message persistence through saveMessage mutation.Good addition of the saveMessage mutation for persisting messages.
82-93: Improved message handling with proper typing and persistence.The message handling now creates a properly typed input object and saves it before processing, which is a good approach for ensuring data consistency.
93-102: Refactored to use the manager agent pattern.The refactoring to use
managerAgentinstead of direct API calls centralizes the chat response handling logic, which is a good architectural decision.frontend/src/hooks/multi-agent/toolNodes.ts (6)
12-18: Good use of a dedicated interface for tool usage details.
TheToolUsageinterface neatly documents purpose, input, output, and usage conditions. This approach improves clarity and makes the tools more self-explanatory.
20-26: Interface extension is clear and consistent.
Addingusageto theToolinterface aligns it with the new usage data, ensuring each tool provides structured instructions.
28-108: Comprehensive definitions for each tool.
ThemanagerToolsarray organizes tool data effectively, with each tool specifying a clear usage path. The standardized structure helps maintain a cohesive workflow.
110-112: Minimalistic and helpful utility function.
findToolNodeis straightforward and effective for tool retrieval. Error handling is deferred to callers if the tool isn't found, which is acceptable.
114-121: Usage map retrieval is efficiently implemented.
Generating the usage map with a simple loop is concise and maintainable.
123-130: Description map retrieval is efficiently handled.
Similar to the usage map, this is well-structured and keeps code maintainable.frontend/src/hooks/multi-agent/managerAgent.ts (7)
17-19: Path normalization logic looks correct.
Replacing backslashes with forward slashes helps ensure consistency across platforms.
24-32: Robust file validation.
Throwing an error when a path includes..is a good security practice to prevent directory traversal.
41-75: Context initialization is straightforward.
Having a defaulttask_typeset toDEBUGand letting the AI update it later is a clear approach. No issues found.
76-92: Fetching file structure with proper error handling.
The try/catch block ensures robust handling of any network or data parsing issues.
93-174: Main loop logic is well-structured.
You correctly limit iterations and time, parse the AI’s response, and handle completion or tool execution. The step-based approach is logical.
176-202: File update mechanism is well handled.
The code updates each modified file via POST requests, then refreshes the project state. Error handling in the loop is properly encapsulated.
204-223: Final data saving is cleanly implemented.
Accumulated thoughts are merged into a single message. This approach helps record AI reasoning without cluttering logs.frontend/src/hooks/multi-agent/tools.ts (7)
3-86: Smooth approach for saving thinking process with a typewriter effect.
The function captures AI explanations and then visually outputs them. Be mindful of performance on very large text, but for typical usage, this is a neat UX feature.
102-121: Prompt selection by task type is straightforward.
The switch statement is clear and easily extensible if new task types arise.
122-178: Task analysis flow is logical.
ThetaskToolproperly selects the AI prompt, validates the response, and updates the required files. Error handling is comprehensive.
180-221: File reading logic is well-defined.
It fetches file content for each required file, handles errors cleanly, and logs outcomes.
328-352: Applying changes is simple and effective.
The updated content is verified, then synced back tofileContents.
354-404: Clear code review process.
Collecting each modified file and prompting the AI with a consolidated review context ensures thorough checks.
406-445: Commit message generation is well integrated.
It draws from the final changes, ensures format correctness, and stores the message in the context.frontend/src/hooks/multi-agent/agentPrompt.ts (2)
351-390: Proper function invocation is correctly used here.
This section demonstrates the correct call tosystemPrompt()rather than relying on implicit string conversion. Nicely done.
396-465:confirmationPromptusage looks well-structured.
Here you consistently callsystemPrompt()as intended, and the step-by-step logic is clear and methodical. No concerns at this time.
| const response = await fetch('/api/chat', { | ||
| method: 'POST', | ||
| headers: { | ||
| 'Content-Type': 'application/json', | ||
| Authorization: `Bearer ${token}`, | ||
| }, | ||
| body: JSON.stringify({ | ||
| chatId, | ||
| message, | ||
| model, | ||
| stream, | ||
| }), | ||
| }); |
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Missing role parameter in API request.
The function doesn't include the role field from ChatInputType in the request body, although it's part of the type definition.
body: JSON.stringify({
chatId,
message,
model,
+ role: input.role,
stream,
}),📝 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.
| const response = await fetch('/api/chat', { | |
| method: 'POST', | |
| headers: { | |
| 'Content-Type': 'application/json', | |
| Authorization: `Bearer ${token}`, | |
| }, | |
| body: JSON.stringify({ | |
| chatId, | |
| message, | |
| model, | |
| stream, | |
| }), | |
| }); | |
| const response = await fetch('/api/chat', { | |
| method: 'POST', | |
| headers: { | |
| 'Content-Type': 'application/json', | |
| Authorization: `Bearer ${token}`, | |
| }, | |
| body: JSON.stringify({ | |
| chatId, | |
| message, | |
| model, | |
| role: input.role, | |
| stream, | |
| }), | |
| }); |
…equests and update systemPrompt calls
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Actionable comments posted: 0
🧹 Nitpick comments (8)
frontend/src/hooks/multi-agent/agentPrompt.ts (8)
7-35: Consider using more specific types instead of 'any'.The AgentContext interface uses
anyfor bothsaveMessageandeditorRef, which reduces type safety. Consider using more specific types to improve code maintainability and prevent potential type-related bugs.- editorRef: React.MutableRefObject<any>; // Monaco editor reference for direct updates + editorRef: React.MutableRefObject<monaco.editor.IStandaloneCodeEditor>; // Monaco editor reference for direct updates - saveMessage: any; + saveMessage: (message: Message) => void; // Or whatever the actual type should be
134-171: Add explicit return type to refactorPrompt function.For consistency with other functions and improved type safety, add an explicit return type.
- export const refactorPrompt = (message: string, file_structure: string[]) => { + export const refactorPrompt = (message: string, file_structure: string[]): string => {
172-209: Add explicit return type to optimizePrompt function.For consistency with other functions and improved type safety, add an explicit return type.
- export const optimizePrompt = (message: string, file_structure: string[]) => { + export const optimizePrompt = (message: string, file_structure: string[]): string => {
210-276: Add explicit return type to editFilePrompt function.For consistency with other functions and improved type safety, add an explicit return type.
- export const editFilePrompt = ( - description: string, - file_content: { [key: string]: string } - ) => { + export const editFilePrompt = ( + description: string, + file_content: { [key: string]: string } + ): string => {
277-316: Add explicit return type to codeReviewPrompt function.For consistency with other functions and improved type safety, add an explicit return type.
- export const codeReviewPrompt = (message: string) => { + export const codeReviewPrompt = (message: string): string => {
317-351: Add explicit return type to commitChangesPrompt function.For consistency with other functions and improved type safety, add an explicit return type.
- export const commitChangesPrompt = (message: string) => { + export const commitChangesPrompt = (message: string): string => {
397-398: Move import statements to the top of the file.Import statements are typically placed at the top of the file. This improves readability and follows standard conventions.
+ import { Message } from '@/const/MessageType'; + import { getToolUsageMap } from './toolNodes'; + export enum TaskType { DEBUG = 'debug', REFACTOR = 'refactor', OPTIMIZE = 'optimize', UNRELATED = 'unrelated', } // Rest of the code... - import { Message } from '@/const/MessageType'; - import { getToolUsageMap } from './toolNodes';
471-500: Add explicit return type to findbugPrompt function.For consistency with other functions and improved type safety, add an explicit return type.
- export const findbugPrompt = (message: string, file_structure: string[]) => { + export const findbugPrompt = (message: string, file_structure: string[]): string => {
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frontend/src/hooks/multi-agent/agentPrompt.ts(1 hunks)
🔇 Additional comments (3)
frontend/src/hooks/multi-agent/agentPrompt.ts (3)
1-6: LGTM! TaskType enum now includes UNRELATED.The TaskType enum correctly includes all the necessary values, including UNRELATED which was previously missing according to past review comments.
36-95: LGTM! System prompt function correctly implemented.The systemPrompt function implementation looks correct and follows a good practice of returning a string with all necessary instructions.
97-133: LGTM! leaderPrompt correctly uses systemPrompt as a function.The leaderPrompt implementation correctly calls systemPrompt() with parentheses, addressing the issue mentioned in past review comments.
…Prompt for improved task analysis
…and tools for improved error handling and context management
…rAgent and tools for improved user feedback
…ing interactivity chat to do some tasks
Summary by CodeRabbit
New Features
Refactor