Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

fix: use tauri fetch #5679

Merged
merged 1 commit into from
Oct 16, 2024
Merged

fix: use tauri fetch #5679

merged 1 commit into from
Oct 16, 2024

Conversation

Dogtiti
Copy link
Member

@Dogtiti Dogtiti commented Oct 16, 2024

πŸ’» ε˜ζ›΄η±»εž‹ | Change Type

  • feat
  • fix
  • refactor
  • perf
  • style
  • test
  • docs
  • ci
  • chore
  • build

πŸ”€ ε˜ζ›΄θ―΄ζ˜Ž | Description of Change

πŸ“ θ‘₯充俑息 | Additional Information

Summary by CodeRabbit

  • New Features

    • Enhanced chat functionality for ClaudeApi and MoonshotApi, supporting both streaming and non-streaming requests.
    • New methods added to MoonshotApi for usage tracking and model retrieval.
  • Bug Fixes

    • Improved handling of HTTP requests and responses in chat methods.
  • Documentation

    • Updated method signatures to reflect new capabilities.

Copy link

vercel bot commented Oct 16, 2024

@Dogtiti is attempting to deploy a commit to the NextChat Team on Vercel.

A member of the Team first needs to authorize it.

Copy link
Contributor

coderabbitai bot commented Oct 16, 2024

Walkthrough

The changes introduced in this pull request involve the addition of a fetch function import from the @/app/utils/stream module across multiple files, specifically for the ClaudeApi and MoonshotApi classes. The chat methods in these classes have been updated to support both streaming and non-streaming HTTP requests. The MoonshotApi class has also seen the addition of two new methods: usage and models. Overall, the structure of the ChatGPTApi class remains unchanged, but the new logic enhances network request handling.

Changes

File Path Change Summary
app/client/platforms/anthropic.ts Updated async chat(options: ChatOptions): Promise<void> method to include streaming functionality.
app/client/platforms/moonshot.ts Updated async chat(options: ChatOptions) method for streaming and non-streaming requests; added async usage() and async models(): Promise<LLMModel[]> methods.
app/client/platforms/openai.ts Added import statement for fetch from @/app/utils/stream.

Possibly related PRs

Suggested labels

enhancement, help wanted

Suggested reviewers

  • lloydzhou

🐰 In the code we hop and play,
Fetching data every day.
Streaming requests, oh what fun,
With new methods, we’ve just begun!
From Claude to Moonshot, we’ll explore,
Enhancements made, let’s code some more! 🌟


Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

❀️ Share
πŸͺ§ Tips

Chat

There are 3 ways to chat with CodeRabbit:

  • Review comments: Directly reply to a review comment made by CodeRabbit. Example:
    • I pushed a fix in commit <commit_id>, please review it.
    • Generate unit testing code for this file.
    • Open a follow-up GitHub issue for this discussion.
  • Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
    • @coderabbitai generate unit testing code for this file.
    • @coderabbitai modularize this function.
  • PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
    • @coderabbitai gather interesting stats about this repository and render them as a table. Additionally, render a pie chart showing the language distribution in the codebase.
    • @coderabbitai read src/utils.ts and generate unit testing code.
    • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
    • @coderabbitai help me debug CodeRabbit configuration file.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (Invoked using PR comments)

  • @coderabbitai pause to pause the reviews on a PR.
  • @coderabbitai resume to resume the paused reviews.
  • @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
  • @coderabbitai full review to do a full review from scratch and review all the files again.
  • @coderabbitai summary to regenerate the summary of the PR.
  • @coderabbitai resolve resolve all the CodeRabbit review comments.
  • @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
  • @coderabbitai help to get help.

Other keywords and placeholders

  • Add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.
  • Add @coderabbitai summary to generate the high-level summary at a specific location in the PR description.
  • Add @coderabbitai anywhere in the PR title to generate the title automatically.

CodeRabbit Configuration File (.coderabbit.yaml)

  • You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
  • Please see the configuration documentation for more information.
  • If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

  • Visit our Documentation for detailed information on how to use CodeRabbit.
  • Join our Discord Community to get help, request features, and share feedback.
  • Follow us on X/Twitter for updates and announcements.

@lloydzhou lloydzhou merged commit 06f897f into ChatGPTNextWeb:main Oct 16, 2024
2 of 3 checks passed
Copy link
Contributor

Your build has completed!

Preview deployment

Copy link
Contributor

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Actionable comments posted: 0

🧹 Outside diff range and nitpick comments (6)
app/client/platforms/anthropic.ts (6)

Line range hint 94-94: Rename variable 'keys' to avoid shadowing and improve clarity

The variable keys is declared earlier in the file and then re-declared within the chat method. This could lead to confusion and potential bugs due to variable shadowing. Consider renaming the inner keys variable to a more descriptive name like roleKeys.

Apply this diff to rename the variable:

- const keys = ["system", "user"];
+ const roleKeys = ["system", "user"];

Ensure that you also update references to this variable in the subsequent code:

- if (keys.includes(message.role) && keys.includes(nextMessage.role)) {
+ if (roleKeys.includes(message.role) && roleKeys.includes(nextMessage.role)) {

Line range hint 99-103: Avoid using 'as any' to maintain type safety

Casting to any type with as any bypasses TypeScript's type checking, which can introduce runtime errors and defeat the purpose of using TypeScript. Instead of casting, consider adjusting your data structures or defining the appropriate types to maintain type safety.

Here's a suggested refactor to define the correct type:

  1. Update the type of messages to accommodate both AnthropicMessage and an array of AnthropicMessage.

  2. Modify the assignment without casting to any.

- messages[i] = [
-   message,
-   {
-     role: "assistant",
-     content: ";",
-   },
- ] as any;
+ messages.splice(i, 1, message, {
+   role: "assistant",
+   content: ";",
+ });

This way, you insert the new assistant message without altering the expected type of the messages array.


Line range hint 133-139: Use configurable 'top_k' parameter instead of hard-coded value

Currently, top_k is hard-coded to 5, and the configurable modelConfig.top_k is commented out. To respect user configurations and provide flexibility, consider using modelConfig.top_k with a default value if necessary.

Apply this diff to utilize the configurable top_k:

  temperature: modelConfig.temperature,
  top_p: modelConfig.top_p,
- // top_k: modelConfig.top_k,
- top_k: 5,
+ top_k: modelConfig.top_k || 5,

This change uses modelConfig.top_k if it's set; otherwise, it defaults to 5.


Line range hint 113-130: Add error handling when parsing image URLs to prevent runtime errors

The logic for parsing mimeType, encodeType, and data from the url assumes that the expected delimiters (:, ;, and ,) are present. If they are missing or in unexpected positions, the slicing operations may produce incorrect results or cause runtime errors.

Consider adding validation to ensure that the indices are valid before slicing:

  const colonIndex = url.indexOf(":");
  const semicolonIndex = url.indexOf(";");
  const commaIndex = url.indexOf(",");

+ if (colonIndex === -1 || semicolonIndex === -1 || commaIndex === -1) {
+   throw new Error("Invalid image URL format.");
+ }

  const mimeType = url.slice(colonIndex + 1, semicolonIndex);
  const encodeType = url.slice(semicolonIndex + 1, commaIndex);
  const data = url.slice(commaIndex + 1);

Alternatively, consider using a regular expression or URL parsing library to safely extract these components.


Line range hint 64-64: Variable 'keys' is declared but not used

The variable keys is declared as const keys = ["claude-2, claude-instant-1"]; but does not appear to be used elsewhere in the file. This may lead to confusion and is unnecessary.

Consider removing the unused variable:

- const keys = ["claude-2, claude-instant-1"];

Line range hint 189-193: Provide meaningful implementation or remove unused 'models' method

The models() method currently returns an empty array, and the previous implementations are commented out. If this method is not needed, consider removing it. If it's intended to be implemented later, you might want to add a TODO comment or properly implement it.

Example:

  async models() {
-   // ... commented out code ...
+   // TODO: Implement model retrieval logic or remove this method if not needed.
+   return [];
  }
πŸ“œ Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

πŸ“₯ Commits

Files that changed from the base of the PR and between 463fa74 and deb1e76.

πŸ“’ Files selected for processing (3)
  • app/client/platforms/anthropic.ts (1 hunks)
  • app/client/platforms/moonshot.ts (1 hunks)
  • app/client/platforms/openai.ts (1 hunks)
🧰 Additional context used
πŸ”‡ Additional comments (2)
app/client/platforms/openai.ts (1)

45-45: LGTM. Verify usage and add explanatory comment.

The addition of the custom fetch import aligns with the PR objective "fix: use tauri fetch". This change likely addresses Tauri-specific fetch issues.

To ensure consistent usage of the new custom fetch:

Consider adding a comment explaining why a custom fetch is needed, e.g.:

// Custom fetch implementation to handle Tauri-specific networking requirements
import { fetch } from "@/app/utils/stream";
βœ… Verification successful

Verified: All fetch calls use the imported version

All fetch calls in app/client/platforms/openai.ts are using the imported fetch from @/app/utils/stream, with no local redefinitions found.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Verify all occurrences of fetch in the file use the imported version

# Test: Search for fetch usage. Expect: All fetch calls should be the imported version
rg --type typescript 'fetch\(' app/client/platforms/openai.ts

Length of output: 98


Script:

#!/bin/bash
# Description: Verify all occurrences of fetch in the file use the imported version

# Test: Search for fetch usage without specifying file type
rg 'fetch\(' app/client/platforms/openai.ts

Length of output: 285


Script:

#!/bin/bash
# Description: Check for any local definitions of fetch in the file to ensure imported fetch is used

# Search for variable or function declarations that redefine fetch
rg '^\s*(const|let|var|function)\s+fetch\b' app/client/platforms/openai.ts

Length of output: 76

app/client/platforms/moonshot.ts (1)

27-27: Approved: Import 'fetch' from '@/app/utils/stream'

The new import statement correctly imports the fetch function from the specified module.

@coderabbitai coderabbitai bot mentioned this pull request Oct 28, 2024
10 tasks
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants