fix: use tauri fetch#5679
fix: use tauri fetch#5679lloydzhou merged 1 commit intoChatGPTNextWeb:mainfrom ConnectAI-E:fix/fetch
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🧹 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 clarityThe variable
keysis declared earlier in the file and then re-declared within thechatmethod. This could lead to confusion and potential bugs due to variable shadowing. Consider renaming the innerkeysvariable to a more descriptive name likeroleKeys.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)) {
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99-103: Avoid using 'as any' to maintain type safetyCasting to
anytype withas anybypasses 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:
Update the type of
messagesto accommodate bothAnthropicMessageand an array ofAnthropicMessage.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
messagesarray.
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133-139: Use configurable 'top_k' parameter instead of hard-coded valueCurrently,
top_kis hard-coded to5, and the configurablemodelConfig.top_kis commented out. To respect user configurations and provide flexibility, consider usingmodelConfig.top_kwith 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_kif it's set; otherwise, it defaults to5.
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113-130: Add error handling when parsing image URLs to prevent runtime errorsThe logic for parsing
mimeType,encodeType, anddatafrom theurlassumes 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.
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64-64: Variable 'keys' is declared but not usedThe variable
keysis declared asconst 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"];
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189-193: Provide meaningful implementation or remove unused 'models' methodThe
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 []; }
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📒 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
🔇 Additional comments (2)
app/client/platforms/openai.ts (1)
45-45: LGTM. Verify usage and add explanatory comment.The addition of the custom
fetchimport 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
fetchis needed, e.g.:// Custom fetch implementation to handle Tauri-specific networking requirements import { fetch } from "@/app/utils/stream";✅ Verification successful
Verified: All
fetchcalls use the imported versionAll
fetchcalls inapp/client/platforms/openai.tsare using the importedfetchfrom@/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.tsLength 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.tsLength 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.tsLength 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
fetchfunction from the specified module.
fix: use tauri fetch
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💻 变更类型 | Change Type
🔀 变更说明 | Description of Change
📝 补充信息 | Additional Information
Summary by CodeRabbit
New Features
Bug Fixes
Documentation