issue#21 add chat apis #22
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Actionable comments posted: 19
🧹 Outside diff range and nitpick comments (10)
backend/src/chat/dto/chat.input.ts (1)
1-27: Consider adding documentation and comprehensive validation strategy.As these DTOs are crucial for your chat API:
- Add class and field-level documentation using
@Description()decorators for better GraphQL schema documentation- Consider implementing a comprehensive validation strategy:
- Rate limiting for message sending
- Content filtering/sanitization
- Character encoding validation
- Think about versioning strategy for these DTOs as chat features evolve
backend/src/user/user.model.ts (1)
33-35: Consider implementing DataLoader to prevent N+1 queries.The current setup might lead to N+1 query problems when fetching users with their chats through GraphQL.
Consider implementing a DataLoader for the chats field to batch and cache the chat queries. This would significantly improve performance when multiple users are queried simultaneously.
Example implementation:
// In your resolver @ResolveField(() => [Chat]) async chats( @Parent() user: User, @Context('chatLoader') chatLoader: DataLoader<string, Chat[]> ) { return chatLoader.load(user.id); }backend/src/chat/message.model.ts (1)
1-15: Remove unused importOneToManyThe
OneToManyimport from typeorm is not used in this file.- import { - Entity, - PrimaryGeneratedColumn, - Column, - ManyToOne, - OneToMany, - JoinColumn, - } from 'typeorm'; + import { + Entity, + PrimaryGeneratedColumn, + Column, + ManyToOne, + JoinColumn, + } from 'typeorm';backend/src/schema.gql (1)
67-75: Consider adding documentation for the modelId field.The Message type is well-structured, but the purpose of
modelIdfield could be clearer. Consider adding a description using GraphQL's documentation syntax.id: ID! isActive: Boolean! isDeleted: Boolean! + """ID of the AI model that generated this message, if applicable""" modelId: String role: Role!backend/src/chat/chat.model.ts (1)
Line range hint
41-68: Consider separating 'ChatCompletion' classes into dedicated files or modulesThe classes
ChatCompletionDelta,ChatCompletionChunk, andChatCompletionChoiceseem to represent data structures specific to chat completion functionality. For better modularity, maintainability, and code clarity, consider moving these classes into their own files or a separate module, such aschat-completion.model.ts.backend/src/guard/chat.guard.ts (2)
44-44: Use appropriate exceptions for not found resourcesWhen a chat or message is not found, consider throwing
NotFoundExceptioninstead ofUnauthorizedExceptionto accurately represent the error condition.Apply this diff to make the changes:
- throw new UnauthorizedException('Chat not found'); + throw new NotFoundException('Chat not found');and
- throw new UnauthorizedException('Message not found'); + throw new NotFoundException('Message not found');Also applies to: 90-90
83-83: Correct comment to reflect the extracted argumentThe comment mistakenly mentions 'chatId', but the code extracts 'messageId'. Update the comment to accurately reflect that
messageIdis being extracted.Apply this diff to correct the comment:
- // Extract chatId from the request arguments + // Extract messageId from the request argumentsbackend/src/chat/chat.resolver.ts (3)
51-53: Clarify variable naming for better readability.In the
getUserChatsmethod, the variableusermay cause confusion since it's used to retrieve chats. Consider renaming it touserWithChatsor simplyuserChatsfor clarity.Optionally, you can adjust the variable name:
const user = await this.userService.getUserChats(userId); - return user ? user.chats : []; + return user ? user.chats : []; // Variable name remains 'user' for clarityAlternatively, if
getUserChatsreturns chats directly:- const user = await this.userService.getUserChats(userId); - return user ? user.chats : []; + const chats = await this.userService.getUserChats(userId); + return chats || [];
64-65: Improve the TODO comment for clarity and grammar.The TODO comment can be rephrased for better understanding. Consider updating it to clearly state the intended action.
Suggested revision:
- // To do: message need a update resolver + // TODO: Implement an update resolver for messages
78-81: Remove commented-out code if it's no longer needed.The code on lines 78-81 is commented out. If it's obsolete, consider deleting it to keep the codebase clean. If it's temporarily disabled, consider adding a comment explaining why.
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📒 Files selected for processing (10)
- backend/src/chat/chat.model.ts (1 hunks)
- backend/src/chat/chat.module.ts (1 hunks)
- backend/src/chat/chat.resolver.ts (2 hunks)
- backend/src/chat/chat.service.ts (2 hunks)
- backend/src/chat/dto/chat.input.ts (1 hunks)
- backend/src/chat/message.model.ts (1 hunks)
- backend/src/guard/chat.guard.ts (1 hunks)
- backend/src/schema.gql (4 hunks)
- backend/src/user/user.model.ts (2 hunks)
- backend/src/user/user.service.ts (1 hunks)
🔇 Additional comments (14)
backend/src/chat/dto/chat.input.ts (1)
5-9: LGTM! Well-structured DTO for chat creation.The implementation correctly handles optional chat titles and follows NestJS/GraphQL best practices.
backend/src/user/user.service.ts (2)
17-20: LGTM! Constructor follows dependency injection best practices.The constructor properly injects the User repository following NestJS conventions.
22-28: Verify the impact on the chat resolver.The changes to this method might affect the chat resolver's implementation.
Let's verify the usage:
✅ Verification successful
No impact on chat resolver implementation
The chat resolver correctly handles the
getUserChatsresponse. The resolver implementation inbackend/src/chat/chat.resolver.tsalready properly processes the return value from the service method by checking for user existence and returning either the chats array or an empty array. The GraphQL schema inbackend/src/schema.gqlalso correctly defines the return type as[Chat!].🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Check if the chat resolver properly handles the getUserChats response # and verify if pagination parameters are needed in the GraphQL schema # Search for references to getUserChats in resolvers rg -t typescript "getUserChats" --glob "**/*.resolver.ts" # Check GraphQL schema definitions for chat-related queries ast-grep --pattern 'type Query { $$$ getUserChats$$$ $$$ }'Length of output: 160
Script:
#!/bin/bash # Let's try different approaches to find resolver and schema files # Search for getUserChats in all files (not just typescript) rg "getUserChats" -A 3 -B 3 # Find resolver files fd resolver # Find schema or graphql files fd "schema|graphql"Length of output: 1696
backend/src/user/user.model.ts (1)
5-5: LGTM!The Chat model import is correctly placed with other model imports.
backend/src/chat/chat.module.ts (2)
11-28: Verify authentication and authorization configurationThe module imports AuthModule and exports ChatGuard, but we should verify:
- Authentication is properly enforced
- ChatGuard implements necessary authorization checks
- Rate limiting is considered for chat operations
Let's verify the security implementations:
#!/bin/bash # Check ChatGuard implementation ast-grep --pattern 'class ChatGuard { $$$ canActivate($_) { $$$ } $$$ }' # Check for rate limiting decorators rg "@UseGuards|@RateLimit" --type ts -g "*chat*"
16-28: Enhance module configuration robustnessThe module configuration looks functional but could benefit from additional safeguards and documentation:
- Consider adding database configuration validation
- UserService is provided but not exported - verify if this is intentional
- Missing test providers configuration
Consider these enhancements:
// Add configuration validation @Module({ imports: [ HttpModule, TypeOrmModule.forFeatureAsync([ { name: Chat.name, useFactory: () => { // Add validation logic return { entity: Chat, }; }, }, // Similar for User and Message ]), AuthModule, ], // ... rest of the configuration })Let's verify the UserService usage:
backend/src/chat/message.model.ts (1)
19-26: LGTM! Well-structured enum definitionThe Role enum is properly defined with clear values and correctly registered for GraphQL schema generation. Using string literals as enum values is a good practice for database storage and readability.
backend/src/schema.gql (3)
5-14: LGTM! Well-structured Chat type definition.The Chat type follows best practices with:
- Proper timestamps for auditing
- Soft delete capability
- Clear relationships to Message and User entities
134-137: LGTM! Clear role distinction for chat participants.The Role enum effectively distinguishes between AI model and user messages.
Line range hint
1-161: Verify schema consistency and type references.Let's ensure all type references are valid and naming conventions are consistent throughout the schema.
#!/bin/bash # Check for undefined type references rg -o 'type: \w+|: \w+!' schema.gql | cut -d':' -f2 | tr -d '!' | sort -u | while read type; do if ! rg "^(type|enum|input|scalar) $type( |\{|$)" schema.gql > /dev/null; then echo "Undefined type: $type" fi done # Check for consistent naming patterns rg '^(type|input|enum) \w+' schema.gql | while read -r line; do if [[ $line =~ [A-Z][a-zA-Z]+$ ]]; then continue else echo "Inconsistent type naming: $line" fi donebackend/src/chat/chat.model.ts (2)
23-39: Well-structured 'Chat' model with appropriate relationshipsThe
Chatclass is well-defined, extendingSystemBaseModel, and includes fields with the correct TypeORM and GraphQL decorators. The relationships withMessageandUserentities are properly set up.
32-34: Review cascading operations on 'messages'Using
{ cascade: true }in the@OneToManyrelationship formessageswill cascade all operations (insert, update, remove) fromChatto itsMessageentities. Ensure that this behavior aligns with the application requirements to prevent unintended data modifications or deletions.backend/src/chat/chat.resolver.ts (1)
57-62:⚠️ Potential issueRemove unused parameter 'userId' from 'getMessageDetail' method.
The
userIdparameter is not utilized within thegetMessageDetailmethod. Consider removing it to clean up the code.Apply this diff to remove the unused parameter:
@UseGuards(MessageGuard) @Query(() => Message, { nullable: true }) async getMessageDetail( - @GetUserIdFromToken() userId: string, @Args('messageId') messageId: string, ): Promise<Message> { return this.chatService.getMessageById(messageId); }If
userIdis needed for authorization or future use, ensure it's appropriately utilized within the method.Likely invalid or redundant comment.
backend/src/chat/chat.service.ts (1)
174-191: Verify user existence before creating a chatIn the
createChatmethod, you fetch the user usinguserId. Ensure that theuserIdprovided is valid and that all calls tocreateChatsupply a correctuserId.To verify that all usages of
createChatpass a validuserId, run the following script:This script searches for all instances where
createChatis called, allowing you to inspect the surrounding code to ensureuserIdis correctly passed.✅ Verification successful
Let me check the implementation of
@GetUserIdFromToken()decorator to ensure it properly validates the token and extracts a valid user ID.
Let me check the implementation in the decorator file to verify how the user ID is extracted and validated.
Let me check the JWT configuration and validation in the auth module to ensure proper token validation.
JWT token validation is properly implemented for user verification
The implementation is secure for the following reasons:
- The
GetUserIdFromTokendecorator properly extracts and validates the JWT token from the Authorization header- JWT tokens are signed with a secret key and have a 24-hour expiration
- The auth service implements proper token validation, storage and revocation
- The
createChatendpoint is protected as it uses the@GetUserIdFromToken()decorator which throwsUnauthorizedExceptionfor invalid tokens- The extracted
userIdis guaranteed to be valid as it comes from a verified JWT token that was issued during login🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Find all calls to 'createChat' and check the 'userId' parameter. # Test: Search for 'createChat' function calls in the codebase. rg -A2 'createChat\('Length of output: 927
Script:
#!/bin/bash # Search for GetUserIdFromToken decorator implementation ast-grep --pattern 'export function GetUserIdFromToken()' # Also search for any related files rg -l "GetUserIdFromToken"Length of output: 200
Script:
#!/bin/bash # Check the implementation of the decorator cat backend/src/decorator/get-auth-token.ts # Also search for any JWT or token validation related code rg -l "jwt" --type tsLength of output: 1814
Script:
#!/bin/bash # Check JWT configuration in auth module cat backend/src/auth/auth.module.ts # Check auth service implementation cat backend/src/auth/auth.service.tsLength of output: 3832
backend/src/user/user.service.ts
Outdated
| // Method to get all chats of a user | ||
| async getUserChats(userId: string): Promise<User> { | ||
| return this.userRepository.findOne({ | ||
| where: { id: userId }, | ||
| relations: ['chats'], // Ensure 'chats' relation is loaded | ||
| }); | ||
| } |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add error handling and pagination for robustness.
While the basic implementation is functional, consider these improvements:
- Add error handling for non-existent users
- Implement pagination for the chats relation to prevent performance issues with large datasets
Here's a suggested implementation:
- async getUserChats(userId: string): Promise<User> {
- return this.userRepository.findOne({
- where: { id: userId },
- relations: ['chats'], // Ensure 'chats' relation is loaded
- });
+ async getUserChats(userId: string, skip = 0, take = 10): Promise<User> {
+ const user = await this.userRepository.findOne({
+ where: { id: userId },
+ relations: ['chats'],
+ skip,
+ take,
+ });
+
+ if (!user) {
+ throw new NotFoundException(`User with ID "${userId}" not found`);
+ }
+
+ return user;
+ }Don't forget to add the import:
import { NotFoundException } from '@nestjs/common';
There was a problem hiding this comment.
Actionable comments posted: 7
🧹 Outside diff range and nitpick comments (4)
llm-server/src/model/model-provider.ts (2)
10-10: Add JSDoc documentation for the new abstract method.The new method's purpose and implementation requirements should be documented for clarity. This will help implementers understand the expected behavior.
+ /** + * Streams the available model tags to the client using Server-Sent Events. + * @param res - Express Response object to write the streaming data + * @returns Promise that resolves when the streaming is complete + */ abstract getModelTagsResponse(res: Response): Promise<void>;
10-10: Consider adding error handling guidance for implementations.Since this method handles streaming responses, it's important to ensure consistent error handling across different implementations.
Consider:
- Defining common error scenarios that implementations should handle
- Specifying how to handle connection termination
- Adding error handling examples in the documentation
Example documentation addition:
+ /** + * Streams the available model tags to the client using Server-Sent Events. + * @param res - Express Response object to write the streaming data + * @returns Promise that resolves when the streaming is complete + * @throws ModelProviderError - When unable to fetch model tags + * @example + * Implementation should handle: + * - Connection termination + * - API rate limits + * - Invalid responses + * - Timeout scenarios + */ abstract getModelTagsResponse(res: Response): Promise<void>;llm-server/src/llm-provider.ts (1)
41-43: Add JSDoc documentation for the new method.Please add documentation explaining the purpose of this method, its parameters, and expected behavior.
Consider adding:
+ /** + * Fetches and streams available model tags to the client + * @param res - Express Response object to stream the tags + * @returns Promise that resolves when streaming is complete + */ async getModelTags(res: Response): Promise<void> {llm-server/src/model/openai-model-provider.ts (1)
70-70: Consider implementing pagination for model list.Fetching all models without pagination could impact performance as the number of models grows. Consider implementing pagination or limiting the number of models returned.
Consider adding pagination parameters:
interface ModelListParams { limit?: number; after?: string; } // Usage in method signature: async getModelTagsResponse(res: Response, params?: ModelListParams): Promise<void>
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (5)
- llm-server/src/llm-provider.ts (2 hunks)
- llm-server/src/main.ts (3 hunks)
- llm-server/src/model/llama-model-provider.ts (1 hunks)
- llm-server/src/model/model-provider.ts (1 hunks)
- llm-server/src/model/openai-model-provider.ts (2 hunks)
🔇 Additional comments (5)
llm-server/src/llm-provider.ts (1)
2-4: LGTM! Proper TypeScript import syntax.The removal of
.jsextensions from imports follows TypeScript best practices.llm-server/src/main.ts (3)
2-2: LGTM! Import statement correctly updated.The removal of the
.jsextension is the correct approach for TypeScript projects.
22-22: LGTM! Route correctly configured.The GET endpoint for
/tagsis appropriately set up with proper context binding.
43-61:⚠️ Potential issueMultiple issues in the model tags handler implementation.
The current implementation appears to be copied from the chat handler without proper adaptation:
- Incorrect log message (shows "chat request" for tags endpoint)
- Unnecessarily processes request body for a GET endpoint
- Incorrectly uses ChatMessageInput type
- Sets streaming headers without confirmation that getModelTags streams data
Consider this implementation instead:
private async handleModelTagsRequest( req: Request, res: Response, ): Promise<void> { - this.logger.log('Received chat request.'); + this.logger.log('Received model tags request.'); try { - this.logger.debug(JSON.stringify(req.body)); - const { content } = req.body as ChatMessageInput; - this.logger.debug(`Request content: "${content}"`); - res.setHeader('Content-Type', 'text/event-stream'); - res.setHeader('Cache-Control', 'no-cache'); - res.setHeader('Connection', 'keep-alive'); - this.logger.debug('Response headers set for streaming.'); + res.setHeader('Content-Type', 'application/json'); await this.llmProvider.getModelTags(res); } catch (error) { - this.logger.error('Error in chat endpoint:', error); + this.logger.error('Error in tags endpoint:', error); res.status(500).json({ error: 'Internal server error' }); } }Let's verify if getModelTags is actually a streaming response:
llm-server/src/model/openai-model-provider.ts (1)
3-3: LGTM: Import statement modification is correct.The removal of the
.jsextension follows TypeScript best practices as TypeScript handles file extensions internally.
| } catch (error) { | ||
| this.logger.error('Error during OpenAI response generation:', error); | ||
| res.write(`data: ${JSON.stringify({ error: 'Generation failed' })}\n\n`); | ||
| res.write(`data: [DONE]\n\n`); | ||
| res.end(); | ||
| } |
There was a problem hiding this comment.
Standardize error response format.
The error response format differs from the success response format and doesn't include enough detail for proper client-side handling.
Apply this change to standardize error handling:
- res.write(`data: ${JSON.stringify({ error: 'Generation failed' })}\n\n`);
- res.write(`data: [DONE]\n\n`);
+ const errorResponse = {
+ error: {
+ message: 'Failed to fetch models',
+ code: 'FETCH_MODELS_ERROR',
+ details: error instanceof Error ? error.message : 'Unknown error'
+ }
+ };
+ res.write(`data: ${JSON.stringify(errorResponse)}\n\n`);
+ res.write(`data: [DONE]\n\n`);Committable suggestion was skipped due to low confidence.
| const response = { | ||
| models: models, // Wrap the models in the required structure | ||
| }; | ||
|
|
||
| const endTime = Date.now(); | ||
| this.logger.log( | ||
| `Model fetching completed. Total models: ${models.data.length}`, | ||
| ); | ||
| this.logger.log(`Fetch time: ${endTime - startTime}ms`); | ||
| res.write(JSON.stringify(response)); | ||
| res.end(); |
There was a problem hiding this comment.
Inconsistent SSE message format.
The response format doesn't follow SSE conventions and differs from the format used in generateStreamingResponse. The raw JSON response won't be properly parsed by SSE clients.
Apply this change to maintain consistent SSE format:
- const response = {
- models: models, // Wrap the models in the required structure
- };
- res.write(JSON.stringify(response));
+ res.write(`data: ${JSON.stringify({ models: models })}\n\n`);
+ res.write(`data: [DONE]\n\n`);📝 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 = { | |
| models: models, // Wrap the models in the required structure | |
| }; | |
| const endTime = Date.now(); | |
| this.logger.log( | |
| `Model fetching completed. Total models: ${models.data.length}`, | |
| ); | |
| this.logger.log(`Fetch time: ${endTime - startTime}ms`); | |
| res.write(JSON.stringify(response)); | |
| res.end(); | |
| res.write(`data: ${JSON.stringify({ models: models })}\n\n`); | |
| res.write(`data: [DONE]\n\n`); | |
| const endTime = Date.now(); | |
| this.logger.log( | |
| `Model fetching completed. Total models: ${models.data.length}`, | |
| ); | |
| this.logger.log(`Fetch time: ${endTime - startTime}ms`); | |
| res.end(); |
| const models = 'tresr'; | ||
|
|
There was a problem hiding this comment.
Replace hardcoded model value with actual Llama model information.
The current implementation returns a hardcoded string 'tresr' instead of actual model information. This doesn't provide meaningful data about available Llama models.
Consider implementing proper model information retrieval:
- const models = 'tresr';
+ const models = [{
+ id: "llama-3.2-1b",
+ name: "LLAMA-3.2-1B-OpenHermes2.5",
+ maxTokens: this.context.getContextSize(),
+ type: "llama"
+ }];📝 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 models = 'tresr'; | |
| const models = [{ | |
| id: "llama-3.2-1b", | |
| name: "LLAMA-3.2-1B-OpenHermes2.5", | |
| maxTokens: this.context.getContextSize(), | |
| type: "llama" | |
| }]; | |
| res.writeHead(200, { | ||
| 'Content-Type': 'text/event-stream', | ||
| 'Cache-Control': 'no-cache', | ||
| Connection: 'keep-alive', | ||
| }); | ||
| try { | ||
| const startTime = Date.now(); | ||
| const models = 'tresr'; | ||
|
|
||
| const response = { | ||
| models: models, // Wrap the models in the required structure | ||
| }; | ||
|
|
||
| const endTime = Date.now(); | ||
| this.logger.log( | ||
| `Model fetching completed. Total models: ${models.length}`, | ||
| ); | ||
| this.logger.log(`Fetch time: ${endTime - startTime}ms`); | ||
| res.write(JSON.stringify(response)); | ||
| res.end(); |
There was a problem hiding this comment.
Maintain consistent SSE response format across the provider.
While SSE headers are set correctly, the response format differs from the generateStreamingResponse method. The success case sends a single JSON response instead of using the SSE format.
Apply this fix to maintain consistency:
res.writeHead(200, {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
Connection: 'keep-alive',
});
try {
const startTime = Date.now();
- const models = 'tresr';
+ const models = [{
+ id: "llama-3.2-1b",
+ name: "LLAMA-3.2-1B-OpenHermes2.5",
+ maxTokens: this.context.getContextSize(),
+ type: "llama"
+ }];
- const response = {
- models: models,
- };
+ res.write(`data: ${JSON.stringify({ models })}\n\n`);
+ res.write('data: [DONE]\n\n');
const endTime = Date.now();
this.logger.log(
`Model fetching completed. Total models: ${models.length}`,
);
this.logger.log(`Fetch time: ${endTime - startTime}ms`);
- res.write(JSON.stringify(response));
- res.end();
+ res.end();📝 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.
| res.writeHead(200, { | |
| 'Content-Type': 'text/event-stream', | |
| 'Cache-Control': 'no-cache', | |
| Connection: 'keep-alive', | |
| }); | |
| try { | |
| const startTime = Date.now(); | |
| const models = 'tresr'; | |
| const response = { | |
| models: models, // Wrap the models in the required structure | |
| }; | |
| const endTime = Date.now(); | |
| this.logger.log( | |
| `Model fetching completed. Total models: ${models.length}`, | |
| ); | |
| this.logger.log(`Fetch time: ${endTime - startTime}ms`); | |
| res.write(JSON.stringify(response)); | |
| res.end(); | |
| res.writeHead(200, { | |
| 'Content-Type': 'text/event-stream', | |
| 'Cache-Control': 'no-cache', | |
| Connection: 'keep-alive', | |
| }); | |
| try { | |
| const startTime = Date.now(); | |
| const models = [{ | |
| id: "llama-3.2-1b", | |
| name: "LLAMA-3.2-1B-OpenHermes2.5", | |
| maxTokens: this.context.getContextSize(), | |
| type: "llama" | |
| }]; | |
| res.write(`data: ${JSON.stringify({ models })}\n\n`); | |
| res.write('data: [DONE]\n\n'); | |
| const endTime = Date.now(); | |
| this.logger.log( | |
| `Model fetching completed. Total models: ${models.length}`, | |
| ); | |
| this.logger.log(`Fetch time: ${endTime - startTime}ms`); | |
| res.end(); |
| async getModelTagsResponse(res: Response): Promise<void> { | ||
| this.logger.log('Fetching available models from OpenAI...'); | ||
| // Set SSE headers | ||
| res.writeHead(200, { | ||
| 'Content-Type': 'text/event-stream', | ||
| 'Cache-Control': 'no-cache', | ||
| Connection: 'keep-alive', | ||
| }); | ||
| try { | ||
| const startTime = Date.now(); | ||
| const models = 'tresr'; | ||
|
|
||
| const response = { | ||
| models: models, // Wrap the models in the required structure | ||
| }; | ||
|
|
||
| const endTime = Date.now(); | ||
| this.logger.log( | ||
| `Model fetching completed. Total models: ${models.length}`, | ||
| ); | ||
| this.logger.log(`Fetch time: ${endTime - startTime}ms`); | ||
| res.write(JSON.stringify(response)); | ||
| res.end(); | ||
| this.logger.log('Response ModelTags ended.'); | ||
| } catch (error) { | ||
| this.logger.error('Error during OpenAI response generation:', error); | ||
| res.write(`data: ${JSON.stringify({ error: 'Generation failed' })}\n\n`); | ||
| res.write(`data: [DONE]\n\n`); | ||
| res.end(); | ||
| } | ||
| } |
There was a problem hiding this comment.
💡 Codebase verification
The suggested interface standardization is needed for model responses
The verification shows that both OpenAI and Llama providers implement getModelTagsResponse, but they handle model data differently:
- OpenAI returns the raw models from
openai.models.list() - Llama returns a hardcoded string
'tresr'
This inconsistency in response formats supports the need for a shared interface. The suggested ModelInfo interface would help standardize the response format across providers and improve type safety.
Key locations needing attention:
llm-server/src/model/model-provider.ts: Add the shared interfacesllm-server/src/model/openai-model-provider.ts: Transform OpenAI model data to match interfacellm-server/src/model/llama-model-provider.ts: Implement proper model data structure
🔗 Analysis chain
Consider implementing a shared model interface for consistency.
To ensure consistency across different model providers (Llama, OpenAI), consider defining a shared interface for model information.
Create a shared interface:
interface ModelInfo {
id: string;
name: string;
maxTokens: number;
type: string;
capabilities?: string[];
}
interface ModelResponse {
models: ModelInfo[];
}This would help maintain consistency between different model providers and make it easier to handle responses on the client side.
Let's verify if other model providers exist and their response format:
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for other model provider implementations
rg -l "extends ModelProvider" --type typescript
Length of output: 84
Script:
#!/bin/bash
# Search for files containing "ModelProvider" to find the base class and implementations
rg -l "ModelProvider"
# Search for model-related interfaces and types
rg -l "interface.*Model"
# Search for files with "provider" in their name
fd "provider"
Length of output: 450
Script:
#!/bin/bash
# Let's check the model-provider.ts to see if there's already a base interface
cat llm-server/src/model/model-provider.ts
# Check the OpenAI implementation for comparison
cat llm-server/src/model/openai-model-provider.ts
Length of output: 3404
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Actionable comments posted: 5
🧹 Outside diff range and nitpick comments (2)
backend/src/chat/chat.resolver.ts (1)
77-77: TODO comment needs to be addressed.The comment indicates missing message update functionality, which should be implemented for complete CRUD operations.
Would you like me to help create the message update resolver implementation or create a GitHub issue to track this task?
backend/src/chat/chat.service.ts (1)
243-264: Consider potential race conditions insaveMessageThe
saveMessagemethod might face race conditions in high-concurrency scenarios. When multiple messages are being saved simultaneously, the message order might not be preserved correctly.Consider adding a transaction to ensure atomicity and adding a sequence number to maintain message order.
Here's a suggested improvement:
async saveMessage( chatId: string, chunkId: string | null, messageContent: string, role: Role, ): Promise<Message> { + return await this.messageRepository.manager.transaction(async transactionalEntityManager => { // Find the chat instance - const chat = await this.chatRepository.findOne({ where: { id: chatId } }); + const chat = await transactionalEntityManager.findOne(Chat, { + where: { id: chatId }, + relations: ['messages'] + }); if (!chat) throw new Error('Chat not found'); + // Get the next sequence number + const sequenceNumber = chat.messages.length; // Create a new message associated with the chat const message = this.messageRepository.create({ id: chunkId || null, content: messageContent, role: role, chat, createdAt: new Date(), + sequenceNumber, }); // Save the message to the database - return await this.messageRepository.save(message); + return await transactionalEntityManager.save(Message, message); + }); }This change would require adding a
sequenceNumbercolumn to your Message entity:@Column() sequenceNumber: number;
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (3)
- backend/src/chat/chat.resolver.ts (2 hunks)
- backend/src/chat/chat.service.ts (3 hunks)
- backend/src/chat/dto/chat.input.ts (1 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
- backend/src/chat/dto/chat.input.ts
🔇 Additional comments (3)
backend/src/chat/chat.resolver.ts (1)
1-22: LGTM! Dependencies and setup are well-structured.The imports and dependency injection are properly implemented, following best practices.
backend/src/chat/chat.service.ts (2)
3-8: LGTM! Imports are well-organized and necessary.The imports are correctly structured and all are being used within the services.
191-208: Add permission check increateChatThe method currently only verifies if the user exists but doesn't check if they have permission to create chats. Consider adding a permission check before creating the chat.
Let's verify if there's a permission system in place:
| @UseGuards(ChatGuard) | ||
| @Mutation(() => Chat, { nullable: true }) | ||
| async updateChatTitle( | ||
| @Args('updateChatTitleInput') updateChatTitleInput: UpdateChatTitleInput, | ||
| ): Promise<Chat> { | ||
| return this.chatService.updateChatTitle(updateChatTitleInput); | ||
| } |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Consider adding validation and transaction handling.
The chat mutations could benefit from additional safeguards:
- Title validation
- Transaction handling for delete operations
Consider these improvements:
// In UpdateChatTitleInput DTO
export class UpdateChatTitleInput {
@IsUUID()
chatId: string;
@IsString()
@MinLength(1)
@MaxLength(100)
@Matches(/^[a-zA-Z0-9\s-_]+$/, {
message: 'Title can only contain letters, numbers, spaces, hyphens, and underscores',
})
title: string;
}
// In ChatResolver
@UseGuards(ChatGuard)
@Mutation(() => Boolean)
async deleteChat(@Args('chatId') chatId: string): Promise<boolean> {
// Wrap in transaction
return this.chatService.transaction(async (transactionManager) => {
await this.chatService.deleteMessages(chatId, transactionManager);
return this.chatService.deleteChat(chatId, transactionManager);
});
}| async fetchModelTags(): Promise<any> { | ||
| try { | ||
| this.logger.debug('Requesting model tags from /tags endpoint.'); | ||
|
|
||
| // Make a GET request to /tags | ||
| const response = await this.httpService | ||
| .get('http://localhost:3001/tags', { responseType: 'json' }) | ||
| .toPromise(); | ||
|
|
||
| this.logger.debug('Model tags received:', response.data); | ||
| return response.data; | ||
| } catch (error) { | ||
| this.logger.error('Error fetching model tags:', error); | ||
| throw new Error('Failed to fetch model tags'); | ||
| } | ||
| } |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Enhance error handling and configuration in fetchModelTags
Several improvements could make this method more robust:
- The localhost URL should be configurable via environment variables
- Consider adding request timeout and retry mechanism
- The return type should be explicitly defined instead of
any
Consider applying these improvements:
+ interface ModelTag {
+ name: string;
+ // add other properties based on the actual response
+ }
- async fetchModelTags(): Promise<any> {
+ async fetchModelTags(): Promise<ModelTag[]> {
try {
this.logger.debug('Requesting model tags from /tags endpoint.');
const response = await this.httpService
- .get('http://localhost:3001/tags', { responseType: 'json' })
+ .get(process.env.MODEL_TAGS_URL || 'http://localhost:3001/tags', {
+ responseType: 'json',
+ timeout: 5000,
+ retry: 3,
+ retryDelay: 1000
+ })
.toPromise();
this.logger.debug('Model tags received:', response.data);
return response.data;
} catch (error) {
this.logger.error('Error fetching model tags:', error);
- throw new Error('Failed to fetch model tags');
+ throw new Error(`Failed to fetch model tags: ${error.message}`);
}
}Committable suggestion was skipped due to low confidence.
There was a problem hiding this comment.
Actionable comments posted: 2
🧹 Outside diff range and nitpick comments (1)
backend/src/chat/chat.service.ts (1)
191-203: Use optional chaining for better null safetyConsider using optional chaining to simplify the null checks:
async getChatDetails(chatId: string): Promise<Chat> { const chat = await this.chatRepository.findOne({ where: { id: chatId, isDeleted: false }, relations: ['messages'], }); - if (chat) { - chat.messages = chat.messages.filter((message) => !message.isDeleted); - } + chat?.messages = chat?.messages?.filter((message) => !message.isDeleted); return chat; }
📜 Review details
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Review profile: CHILL
📒 Files selected for processing (1)
- backend/src/chat/chat.service.ts (3 hunks)
🧰 Additional context used
🪛 Biome
backend/src/chat/chat.service.ts
[error] 175-175: Change to an optional chain.
Unsafe fix: Change to an optional chain.
(lint/complexity/useOptionalChain)
🔇 Additional comments (2)
backend/src/chat/chat.service.ts (2)
125-140: Enhance error handling and configuration infetchModelTagsThe method could be improved in several ways:
- The return type should be explicitly defined instead of
any- The localhost URL should be configurable via environment variables
- Request timeout should be added for better error handling
The previous review comment suggesting these improvements is still valid. Would you like me to help implement these enhancements?
264-276:⚠️ Potential issueFix typo in parameter name and add validation
The parameter name contains a typo and the method lacks input validation.
async updateChatTitle( - upateChatTitleInput: UpdateChatTitleInput, + updateChatTitleInput: UpdateChatTitleInput, ): Promise<Chat> { + if (!updateChatTitleInput.title?.trim()) { + throw new Error('Chat title cannot be empty'); + } const chat = await this.chatRepository.findOne({ - where: { id: upateChatTitleInput.chatId, isDeleted: false }, + where: { id: updateChatTitleInput.chatId, isDeleted: false }, }); if (chat) { - chat.title = upateChatTitleInput.title; + chat.title = updateChatTitleInput.title; chat.updatedAt = new Date(); return await this.chatRepository.save(chat); } - return null; + throw new Error('Chat not found'); }
backend/src/chat/chat.service.ts
Outdated
| async saveMessage( | ||
| chatId: string, | ||
| chunkId: string | null, | ||
| messageContent: string, | ||
| role: Role, | ||
| ): Promise<Message> { | ||
| // Find the chat instance | ||
| const chat = await this.chatRepository.findOne({ where: { id: chatId } }); | ||
| if (!chat) throw new Error('Chat not found'); | ||
|
|
||
| // Create a new message associated with the chat | ||
| const message = this.messageRepository.create({ | ||
| id: chunkId || null, | ||
| content: messageContent, | ||
| role: role, | ||
| chat, | ||
| createdAt: new Date(), | ||
| }); | ||
|
|
||
| // Save the message to the database | ||
| return await this.messageRepository.save(message); | ||
| } |
There was a problem hiding this comment.
Add input validation for message content
The saveMessage method should validate the message content before saving.
async saveMessage(
chatId: string,
chunkId: string | null,
messageContent: string,
role: Role,
): Promise<Message> {
+ if (!messageContent?.trim()) {
+ throw new Error('Message content cannot be empty');
+ }
const chat = await this.chatRepository.findOne({ where: { id: chatId } });
if (!chat) throw new Error('Chat not found');
const message = this.messageRepository.create({
id: chunkId || null,
content: messageContent,
role: role,
chat,
createdAt: new Date(),
});
return await this.messageRepository.save(message);
}📝 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.
| async saveMessage( | |
| chatId: string, | |
| chunkId: string | null, | |
| messageContent: string, | |
| role: Role, | |
| ): Promise<Message> { | |
| // Find the chat instance | |
| const chat = await this.chatRepository.findOne({ where: { id: chatId } }); | |
| if (!chat) throw new Error('Chat not found'); | |
| // Create a new message associated with the chat | |
| const message = this.messageRepository.create({ | |
| id: chunkId || null, | |
| content: messageContent, | |
| role: role, | |
| chat, | |
| createdAt: new Date(), | |
| }); | |
| // Save the message to the database | |
| return await this.messageRepository.save(message); | |
| } | |
| async saveMessage( | |
| chatId: string, | |
| chunkId: string | null, | |
| messageContent: string, | |
| role: Role, | |
| ): Promise<Message> { | |
| if (!messageContent?.trim()) { | |
| throw new Error('Message content cannot be empty'); | |
| } | |
| // Find the chat instance | |
| const chat = await this.chatRepository.findOne({ where: { id: chatId } }); | |
| if (!chat) throw new Error('Chat not found'); | |
| // Create a new message associated with the chat | |
| const message = this.messageRepository.create({ | |
| id: chunkId || null, | |
| content: messageContent, | |
| role: role, | |
| chat, | |
| createdAt: new Date(), | |
| }); | |
| // Save the message to the database | |
| return await this.messageRepository.save(message); | |
| } |
| async createChat(userId: string, newChatInput: NewChatInput): Promise<Chat> { | ||
| // Fetch the user entity using the userId | ||
| const user = await this.userRepository.findOne({ where: { id: userId } }); | ||
| if (!user) { | ||
| throw new Error('User not found'); | ||
| } | ||
|
|
||
| // Create a new chat and associate it with the user | ||
| const newChat = this.chatRepository.create({ | ||
| title: newChatInput.title, | ||
| messages: [], | ||
| createdAt: new Date(), | ||
| updatedAt: new Date(), | ||
| user: user, // Associate the user with the chat | ||
| }); | ||
|
|
||
| return await this.chatRepository.save(newChat); | ||
| } |
There was a problem hiding this comment.
Add input validation for chat creation
The createChat method should validate the input title before creating a new chat.
async createChat(userId: string, newChatInput: NewChatInput): Promise<Chat> {
const user = await this.userRepository.findOne({ where: { id: userId } });
if (!user) {
throw new Error('User not found');
}
+ if (!newChatInput.title?.trim()) {
+ throw new Error('Chat title cannot be empty');
+ }
const newChat = this.chatRepository.create({
title: newChatInput.title,
messages: [],
createdAt: new Date(),
updatedAt: new Date(),
user: user,
});
return await this.chatRepository.save(newChat);
}📝 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.
| async createChat(userId: string, newChatInput: NewChatInput): Promise<Chat> { | |
| // Fetch the user entity using the userId | |
| const user = await this.userRepository.findOne({ where: { id: userId } }); | |
| if (!user) { | |
| throw new Error('User not found'); | |
| } | |
| // Create a new chat and associate it with the user | |
| const newChat = this.chatRepository.create({ | |
| title: newChatInput.title, | |
| messages: [], | |
| createdAt: new Date(), | |
| updatedAt: new Date(), | |
| user: user, // Associate the user with the chat | |
| }); | |
| return await this.chatRepository.save(newChat); | |
| } | |
| async createChat(userId: string, newChatInput: NewChatInput): Promise<Chat> { | |
| // Fetch the user entity using the userId | |
| const user = await this.userRepository.findOne({ where: { id: userId } }); | |
| if (!user) { | |
| throw new Error('User not found'); | |
| } | |
| if (!newChatInput.title?.trim()) { | |
| throw new Error('Chat title cannot be empty'); | |
| } | |
| // Create a new chat and associate it with the user | |
| const newChat = this.chatRepository.create({ | |
| title: newChatInput.title, | |
| messages: [], | |
| createdAt: new Date(), | |
| updatedAt: new Date(), | |
| user: user, // Associate the user with the chat | |
| }); | |
| return await this.chatRepository.save(newChat); | |
| } |
backend/src/chat/chat.resolver.ts
Outdated
| try { | ||
| for await (const chunk of iterator) { | ||
| if (chunk) { | ||
| await this.chatService.saveMessage( |
| @@ -68,4 +68,36 @@ export class LlamaModelProvider extends ModelProvider { | |||
| res.end(); | |||
| } | |||
| } | |||
|
|
|||
| async getModelTagsResponse(res: Response): Promise<void> { | |||
There was a problem hiding this comment.
for this part, assume a config or param from user? read the ollama endpoint get the result
There was a problem hiding this comment.
Actionable comments posted: 11
🧹 Outside diff range and nitpick comments (6)
backend/src/schema.gql (2)
91-93: Consider adding input validation constraints.
The title field in both NewChatInput and UpdateChatTitleInput lacks length constraints. Consider adding:
- GraphQL custom scalar or directive for title length validation
- Documentation comments to specify expected length limits
Also applies to: 144-147
135-138: Document Role enum values.
The Role enum would benefit from documentation explaining:
- When each role is used
- The significance of Model vs User in message context
Add documentation comments like:
"""
Defines the role of a message sender in a chat.
- Model: Messages generated by AI models
- User: Messages sent by human users
"""
enum Role {
Model
User
}backend/src/chat/chat.resolver.ts (2)
88-89: Create a tracking issue for the missing message update resolver.
The TODO comment should be tracked properly in the issue system.
Would you like me to create a GitHub issue to track the implementation of the message update resolver?
102-128: Add JSDoc documentation for mutation methods.
The mutation methods lack documentation describing their purpose, parameters, and return values.
Add documentation for better code maintainability. Example:
/**
* Creates a new chat for the specified user.
* @param userId - The ID of the user creating the chat
* @param newChatInput - Input parameters for creating the chat
* @returns Newly created Chat object
* @throws Error if chat creation fails
*/
@Mutation(() => Chat)
async createChat(
@GetUserIdFromToken() userId: string,
@Args('newChatInput') newChatInput: NewChatInput,
): Promise<Chat>backend/src/guard/chat.guard.ts (1)
1-145: Consider adding rate limiting and security logging
The guards would benefit from:
- Rate limiting to prevent brute force attacks
- Logging of authorization failures for security monitoring
Consider implementing:
- Use a rate limiting guard or middleware (e.g.,
@nestjs/throttler) - Add a logging service to track authorization failures
Example implementation:
import { Injectable } from '@nestjs/common';
import { ThrottlerGuard } from '@nestjs/throttler';
@Injectable()
export class RateLimitGuard extends ThrottlerGuard {
protected getTracker(req: Record<string, any>): string {
return req.headers.authorization || req.ip;
}
}Would you like assistance in implementing these security enhancements?
backend/src/chat/chat.service.ts (1)
158-305: Consider implementing rate limiting for chat operations
The service handles chat operations but lacks rate limiting, which could be important for preventing abuse of the chat system.
Consider implementing rate limiting using NestJS's built-in ThrottlerModule or a similar solution. This would help:
- Prevent spam in chat messages
- Protect against DoS attacks
- Ensure fair resource usage
Would you like me to provide an example implementation of rate limiting for these endpoints?
🧰 Tools
🪛 Biome
[error] 175-175: Change to an optional chain.
Unsafe fix: Change to an optional chain.
(lint/complexity/useOptionalChain)
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (7)
- backend/src/chat/chat.resolver.ts (1 hunks)
- backend/src/chat/chat.service.ts (3 hunks)
- backend/src/guard/chat.guard.ts (1 hunks)
- backend/src/schema.gql (4 hunks)
- backend/src/user/user.model.ts (2 hunks)
- backend/src/user/user.service.ts (1 hunks)
- llm-server/src/model/openai-model-provider.ts (2 hunks)
🚧 Files skipped from review as they are similar to previous changes (3)
- backend/src/user/user.model.ts
- backend/src/user/user.service.ts
- llm-server/src/model/openai-model-provider.ts
🧰 Additional context used
🪛 Biome
backend/src/chat/chat.service.ts
[error] 175-175: Change to an optional chain.
Unsafe fix: Change to an optional chain.
(lint/complexity/useOptionalChain)
🔇 Additional comments (6)
backend/src/schema.gql (1)
Line range hint 1-164: Verify schema consistency with resolvers.
Let's verify that all schema definitions have corresponding resolver implementations.
✅ Verification successful
Schema and resolver implementations are properly aligned
After verifying the schema against the resolver implementations, all GraphQL types defined in the schema have corresponding resolver implementations:
- Auth resolver handles
checkTokenquery - Chat resolver implements all chat-related queries, mutations, and subscriptions including
chatStream,getUserChats,createChat, etc. - Project resolver covers all project operations like
getUserProjects,upsertProject,deleteProject, etc. - User resolver handles user-related operations including
registerUser,login, andlogout
All resolver implementations match their schema definitions in terms of types, arguments, and return values.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check for missing resolver implementations
# Find resolver files
echo "Looking for resolver files..."
fd resolver.ts
# Check for mutation implementations
echo -e "\nChecking mutation implementations..."
rg -A 1 "@Mutation\(\)" --type ts
# Check for query implementations
echo -e "\nChecking query implementations..."
rg -A 1 "@Query\(\)" --type ts
Length of output: 468
Script:
#!/bin/bash
# Let's examine the resolver implementations in detail
# Check auth resolver
echo "=== Auth Resolver ==="
cat backend/src/auth/auth.resolver.ts
# Check chat resolver
echo -e "\n=== Chat Resolver ==="
cat backend/src/chat/chat.resolver.ts
# Check project resolver
echo -e "\n=== Project Resolver ==="
cat backend/src/project/project.resolver.ts
# Check user resolver
echo -e "\n=== User Resolver ==="
cat backend/src/user/user.resolver.ts
Length of output: 8154
backend/src/chat/chat.resolver.ts (2)
1-26: LGTM! Well-structured imports and dependency injection.
The imports are comprehensive and the constructor properly injects all required services.
28-29: Address the commented-out guard implementation.
The comment suggests testing difficulties with the guard. Consider implementing an alternative testing strategy or documenting why the guard is currently disabled.
Would you like help implementing a testable guard solution?
backend/src/chat/chat.service.ts (3)
125-140: Enhance error handling and configuration in fetchModelTags
The method needs several improvements:
- The return type should be explicitly defined
- The localhost URL should be configurable
- Request timeout and error handling can be enhanced
The previous review comment about these improvements is still valid. Would you like me to help implement these enhancements?
205-222: Add input validation for chat creation
The previous review comment about adding input validation for the chat title is still valid.
278-297: Add input validation for message content
The previous review comment about adding input validation for the message content is still valid.
| type Chat { | ||
| createdAt: Date! | ||
| id: ID! | ||
| isActive: Boolean! | ||
| isDeleted: Boolean! | ||
| messages: [Message!] | ||
| title: String | ||
| updatedAt: Date! | ||
| user: User! | ||
| } |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Consider strengthening type constraints for chat-related fields.
A few suggestions to improve type definitions:
- The
messagesfield inChatallows null array but non-null elements. Consider making it non-null array:[Message!]! - The
titlefield inChatis nullable without clear business justification. If a title is always required, consider making it non-null.
Also applies to: 67-75
| clearChatHistory(chatId: String!): Boolean! | ||
| createChat(newChatInput: NewChatInput!): Chat! | ||
| deleteChat(chatId: String!): Boolean! |
There was a problem hiding this comment.
Ensure consistent nullability in mutation return types.
The updateChatTitle mutation returns nullable Chat while createChat returns non-null Chat. This inconsistency could lead to confusion in error handling. Consider making both return non-null Chat and handle errors through exceptions.
Also applies to: 86-86
backend/src/chat/chat.resolver.ts
Outdated
| const iterator = this.chatProxyService.streamChat(input.message); | ||
| this.chatService.saveMessage(input.chatId, input.message, Role.User); | ||
|
|
There was a problem hiding this comment.
Add error handling for message saving.
The user message is saved without error handling, which could lead to inconsistent state if the save fails.
Apply this diff to add proper error handling:
- this.chatService.saveMessage(input.chatId, input.message, Role.User);
+ try {
+ await this.chatService.saveMessage(input.chatId, input.message, Role.User);
+ } catch (error) {
+ console.error('Failed to save user message:', error);
+ throw new Error('Failed to process chat message');
+ }📝 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 iterator = this.chatProxyService.streamChat(input.message); | |
| this.chatService.saveMessage(input.chatId, input.message, Role.User); | |
| const iterator = this.chatProxyService.streamChat(input.message); | |
| try { | |
| await this.chatService.saveMessage(input.chatId, input.message, Role.User); | |
| } catch (error) { | |
| console.error('Failed to save user message:', error); | |
| throw new Error('Failed to process chat message'); | |
| } |
| // this is not the final api. | ||
| @Query(() => [Chat], { nullable: true }) | ||
| async getUserChats(@GetUserIdFromToken() userId: string): Promise<Chat[]> { | ||
| const user = await this.userService.getUserChats(userId); | ||
| return user ? user.chats : []; // Return chats if user exists, otherwise return an empty array | ||
| } |
There was a problem hiding this comment.
Add authorization guard and improve error handling in getUserChats.
The method lacks an authorization guard and could expose user data unintentionally.
Apply these improvements:
+ @UseGuards(AuthGuard)
@Query(() => [Chat], { nullable: true })
async getUserChats(@GetUserIdFromToken() userId: string): Promise<Chat[]> {
+ if (!userId) {
+ throw new Error('User ID is required');
+ }
const user = await this.userService.getUserChats(userId);
- return user ? user.chats : []; // Return chats if user exists, otherwise return an empty array
+ if (!user) {
+ throw new Error('User not found');
+ }
+ return user.chats;
}📝 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.
| // this is not the final api. | |
| @Query(() => [Chat], { nullable: true }) | |
| async getUserChats(@GetUserIdFromToken() userId: string): Promise<Chat[]> { | |
| const user = await this.userService.getUserChats(userId); | |
| return user ? user.chats : []; // Return chats if user exists, otherwise return an empty array | |
| } | |
| @UseGuards(AuthGuard) | |
| @Query(() => [Chat], { nullable: true }) | |
| async getUserChats(@GetUserIdFromToken() userId: string): Promise<Chat[]> { | |
| if (!userId) { | |
| throw new Error('User ID is required'); | |
| } | |
| const user = await this.userService.getUserChats(userId); | |
| if (!user) { | |
| throw new Error('User not found'); | |
| } | |
| return user.chats; | |
| } |
backend/src/chat/chat.resolver.ts
Outdated
| let accumulatedContent = ''; // Accumulator for all chunks | ||
|
|
||
| try { | ||
| for await (const chunk of iterator) { | ||
| if (chunk) { | ||
| yield chunk; | ||
| accumulatedContent += chunk.choices[0].delta.content; // Accumulate content | ||
| yield chunk; // Send each chunk | ||
| } | ||
| } | ||
|
|
||
| // After all chunks are received, save the complete response as a single message | ||
| await this.chatService.saveMessage( | ||
| input.chatId, | ||
| accumulatedContent, | ||
| Role.Model, | ||
| ); | ||
| } catch (error) { | ||
| console.error('Error in chatStream:', error); | ||
| throw new Error('Chat stream failed'); | ||
| } | ||
| } |
There was a problem hiding this comment.
Enhance error handling and cleanup in the streaming process.
The current implementation could be improved with better error handling and cleanup:
- No validation of accumulated content
- No cleanup of resources in case of errors
- Generic error message doesn't provide context
Apply this diff to improve the implementation:
let accumulatedContent = ''; // Accumulator for all chunks
+ let messageStarted = false;
try {
for await (const chunk of iterator) {
if (chunk) {
+ if (!chunk.choices?.[0]?.delta?.content) {
+ continue;
+ }
+ messageStarted = true;
accumulatedContent += chunk.choices[0].delta.content; // Accumulate content
yield chunk; // Send each chunk
}
}
+ if (!messageStarted) {
+ throw new Error('No valid message content received');
+ }
+
// After all chunks are received, save the complete response as a single message
await this.chatService.saveMessage(
input.chatId,
accumulatedContent,
Role.Model,
);
} catch (error) {
console.error('Error in chatStream:', error);
- throw new Error('Chat stream failed');
+ throw new Error(`Chat stream failed: ${error.message}`);
+ } finally {
+ // Cleanup if needed
+ if (iterator.return) {
+ await iterator.return();
+ }
}📝 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.
| let accumulatedContent = ''; // Accumulator for all chunks | |
| try { | |
| for await (const chunk of iterator) { | |
| if (chunk) { | |
| yield chunk; | |
| accumulatedContent += chunk.choices[0].delta.content; // Accumulate content | |
| yield chunk; // Send each chunk | |
| } | |
| } | |
| // After all chunks are received, save the complete response as a single message | |
| await this.chatService.saveMessage( | |
| input.chatId, | |
| accumulatedContent, | |
| Role.Model, | |
| ); | |
| } catch (error) { | |
| console.error('Error in chatStream:', error); | |
| throw new Error('Chat stream failed'); | |
| } | |
| } | |
| let accumulatedContent = ''; // Accumulator for all chunks | |
| let messageStarted = false; | |
| try { | |
| for await (const chunk of iterator) { | |
| if (chunk) { | |
| if (!chunk.choices?.[0]?.delta?.content) { | |
| continue; | |
| } | |
| messageStarted = true; | |
| accumulatedContent += chunk.choices[0].delta.content; // Accumulate content | |
| yield chunk; // Send each chunk | |
| } | |
| } | |
| if (!messageStarted) { | |
| throw new Error('No valid message content received'); | |
| } | |
| // After all chunks are received, save the complete response as a single message | |
| await this.chatService.saveMessage( | |
| input.chatId, | |
| accumulatedContent, | |
| Role.Model, | |
| ); | |
| } catch (error) { | |
| console.error('Error in chatStream:', error); | |
| throw new Error(`Chat stream failed: ${error.message}`); | |
| } finally { | |
| // Cleanup if needed | |
| if (iterator.return) { | |
| await iterator.return(); | |
| } | |
| } |
| const message = await this.chatService.getMessageById(messageId); | ||
| if (!message) { | ||
| throw new UnauthorizedException('Message not found'); | ||
| } | ||
|
|
||
| // Ensure that the user is part of the chat the message belongs to | ||
| const chat = message.chat; |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Optimize message and chat fetching
The current implementation may cause N+1 query issues when accessing message.chat. Consider fetching the message with its chat relationship in a single query.
-const message = await this.chatService.getMessageById(messageId);
+const message = await this.chatService.getMessageWithChat(messageId);
if (!message) {
throw new UnauthorizedException('Message not found');
}
-// Ensure that the user is part of the chat the message belongs to
-const chat = message.chat;Committable suggestion was skipped due to low confidence.
| const token = gqlContext | ||
| .getContext() | ||
| .connectionParams?.authorization?.split(' ')[1]; |
There was a problem hiding this comment.
Improve WebSocket connection parameter handling
The current implementation may throw undefined errors if connectionParams is not properly structured. Add proper null checks and validation.
-const token = gqlContext
- .getContext()
- .connectionParams?.authorization?.split(' ')[1];
+const connectionParams = gqlContext.getContext().connectionParams;
+if (!connectionParams?.authorization) {
+ throw new UnauthorizedException('Authorization header is missing in connection parameters');
+}
+
+const [type, token] = connectionParams.authorization.split(' ');
+if (type !== 'Bearer' || !token) {
+ throw new UnauthorizedException('Invalid authorization header format');
+}📝 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 token = gqlContext | |
| .getContext() | |
| .connectionParams?.authorization?.split(' ')[1]; | |
| const connectionParams = gqlContext.getContext().connectionParams; | |
| if (!connectionParams?.authorization) { | |
| throw new UnauthorizedException('Authorization header is missing in connection parameters'); | |
| } | |
| const [type, token] = connectionParams.authorization.split(' '); | |
| if (type !== 'Bearer' || !token) { | |
| throw new UnauthorizedException('Invalid authorization header format'); | |
| } |
| user = this.jwtService.verify(token); | ||
| } catch (error) { |
There was a problem hiding this comment.
Add token expiration handling
The JWT verification should explicitly handle token expiration scenarios to provide clearer error messages.
try {
- user = this.jwtService.verify(token);
+ user = this.jwtService.verify(token);
+} catch (error) {
+ if (error?.name === 'TokenExpiredError') {
+ throw new UnauthorizedException('Token has expired');
+ }
+ if (error?.name === 'JsonWebTokenError') {
+ throw new UnauthorizedException('Invalid token');
+ }
throw new UnauthorizedException('Invalid token');
}Committable suggestion was skipped due to low confidence.
| async updateChatTitle( | ||
| upateChatTitleInput: UpdateChatTitleInput, | ||
| ): Promise<Chat> { | ||
| const chat = await this.chatRepository.findOne({ | ||
| where: { id: upateChatTitleInput.chatId, isDeleted: false }, | ||
| }); | ||
| if (chat) { | ||
| chat.title = upateChatTitleInput.title; | ||
| chat.updatedAt = new Date(); | ||
| return await this.chatRepository.save(chat); | ||
| } | ||
| return null; | ||
| } |
There was a problem hiding this comment.
Fix typo in parameter name and add error handling
- The parameter name contains a typo:
upateChatTitleInputshould beupdateChatTitleInput - Returning
nullfor not found cases is inconsistent with other methods that throw errors
async updateChatTitle(
- upateChatTitleInput: UpdateChatTitleInput,
+ updateChatTitleInput: UpdateChatTitleInput,
): Promise<Chat> {
const chat = await this.chatRepository.findOne({
- where: { id: upateChatTitleInput.chatId, isDeleted: false },
+ where: { id: updateChatTitleInput.chatId, isDeleted: false },
});
if (chat) {
- chat.title = upateChatTitleInput.title;
+ chat.title = updateChatTitleInput.title;
chat.updatedAt = new Date();
return await this.chatRepository.save(chat);
}
- return null;
+ throw new Error('Chat not found');
}📝 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.
| async updateChatTitle( | |
| upateChatTitleInput: UpdateChatTitleInput, | |
| ): Promise<Chat> { | |
| const chat = await this.chatRepository.findOne({ | |
| where: { id: upateChatTitleInput.chatId, isDeleted: false }, | |
| }); | |
| if (chat) { | |
| chat.title = upateChatTitleInput.title; | |
| chat.updatedAt = new Date(); | |
| return await this.chatRepository.save(chat); | |
| } | |
| return null; | |
| } | |
| async updateChatTitle( | |
| updateChatTitleInput: UpdateChatTitleInput, | |
| ): Promise<Chat> { | |
| const chat = await this.chatRepository.findOne({ | |
| where: { id: updateChatTitleInput.chatId, isDeleted: false }, | |
| }); | |
| if (chat) { | |
| chat.title = updateChatTitleInput.title; | |
| chat.updatedAt = new Date(); | |
| return await this.chatRepository.save(chat); | |
| } | |
| throw new Error('Chat not found'); | |
| } |
| if (chat && chat.messages) { | ||
| // Sort messages by createdAt in ascending order | ||
| chat.messages = chat.messages | ||
| .filter((message) => !message.isDeleted) | ||
| .sort((a, b) => a.createdAt.getTime() - b.createdAt.getTime()); | ||
| } |
There was a problem hiding this comment.
Use optional chaining for better null safety
Replace the conditional check with optional chaining for better readability and safety.
- if (chat && chat.messages) {
- chat.messages = chat.messages
+ if (chat?.messages) {
+ chat.messages = chat.messagesCommittable suggestion was skipped due to low confidence.
🧰 Tools
🪛 Biome
[error] 175-175: Change to an optional chain.
Unsafe fix: Change to an optional chain.
(lint/complexity/useOptionalChain)
add chat apis based on the issue
Summary by CodeRabbit
Release Notes
New Features
Chatclass for managing chat entities.Bug Fixes
Documentation
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