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sweep-ai avatar sweep-ai commented on August 11, 2024

🚀 Here's the PR! #108

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GitHub Actions✓

Here are the GitHub Actions logs prior to making any changes:

Sandbox logs for b4f3e96
Checking src/components/Chat/Chat.tsx for syntax errors... ✅ src/components/Chat/Chat.tsx has no syntax errors! 1/1 ✓ 
Checking src/components/Chat/Chat.tsx for syntax errors...
✅ src/components/Chat/Chat.tsx has no syntax errors!

Sandbox passed on the latest main, so sandbox checks will be enabled for this issue.

Step 1: 🔎 Searching

I found the following snippets in your repository. I will now analyze these snippets and come up with a plan.

Some code snippets I think are relevant in decreasing order of relevance (click to expand). If some file is missing from here, you can mention the path in the ticket description.

ai-ta-frontend/src/components/Chat/Chat.tsx

Lines 155 to 175 in b4f3e96

try {
// Log conversation to our Flask Backend (especially Nomic)
const response = await fetch(
`https://flask-production-751b.up.railway.app/onResponseCompletion`,
{
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({
course_name: getCurrentPageName(),
conversation: conversation,
}),
},
)
const data = await response.json()
if (!response.ok) throw new Error(data.message)
return data.success
} catch (error) {
console.error('Error in chat.tsx running onResponseCompletion():', error)
return false

ai-ta-frontend/src/pages/api/chat.ts

Lines 1 to 17 in b4f3e96

// src/pages/api/chat.ts
import { DEFAULT_SYSTEM_PROMPT, DEFAULT_TEMPERATURE } from '@/utils/app/const'
import { OpenAIError, OpenAIStream } from '@/utils/server'
import { ChatBody, Content, ContextWithMetadata, OpenAIChatMessage } from '@/types/chat'
// @ts-expect-error - no types
import wasm from '../../../node_modules/@dqbd/tiktoken/lite/tiktoken_bg.wasm?module'
import tiktokenModel from '@dqbd/tiktoken/encoders/cl100k_base.json'
import { Tiktoken, init } from '@dqbd/tiktoken/lite/init'
import { getExtremePrompt } from './getExtremePrompt'
import { getStuffedPrompt, getSystemPrompt } from './contextStuffingHelper'
import { OpenAIModelID, OpenAIModels } from '~/types/openai'
import { NextResponse } from 'next/server'
export const config = {
runtime: 'edge',
}

ai-ta-frontend/src/components/Chat/NewChat.tsx

Lines 270 to 348 in b4f3e96

body: JSON.stringify({
course_name: getCurrentPageName(),
conversation: conversation,
}),
},
)
const data = await response.json()
if (!response.ok) throw new Error(data.message)
return data.success
} catch (error) {
console.error('Error in chat.tsx running onResponseCompletion():', error)
return false
}
}
// THIS IS WHERE MESSAGES ARE SENT.
const handleSend = useCallback(
async (message: Message, deleteCount = 0, plugin: Plugin | null = null) => {
// New way with React Context API
// TODO: MOVE THIS INTO ChatMessage
// console.log('IN handleSend: ', message)
// setSearchQuery(message.content)
const searchQuery = Array.isArray(message.content)
? message.content.map((content) => content.text).join(' ')
: message.content;
if (selectedConversation) {
let updatedConversation: Conversation
if (deleteCount) {
const updatedMessages = [...selectedConversation.messages]
for (let i = 0; i < deleteCount; i++) {
updatedMessages.pop()
}
updatedConversation = {
...selectedConversation,
messages: [...updatedMessages, message],
}
} else {
updatedConversation = {
...selectedConversation,
messages: [...selectedConversation.messages, message],
}
}
homeDispatch({
field: 'selectedConversation',
value: updatedConversation,
})
homeDispatch({ field: 'loading', value: true })
homeDispatch({ field: 'messageIsStreaming', value: true })
// Run context search, attach to Message object.
if (getCurrentPageName() != 'gpt4') {
// THE ONLY place we fetch contexts (except ExtremePromptStuffing is still in api/chat.ts)
const token_limit =
OpenAIModels[selectedConversation?.model.id as OpenAIModelID]
.tokenLimit
await fetchContexts(
getCurrentPageName(),
searchQuery,
token_limit,
).then((curr_contexts) => {
message.contexts = curr_contexts as ContextWithMetadata[]
})
}
const chatBody: ChatBody = {
model: updatedConversation.model,
messages: updatedConversation.messages,
key:
courseMetadata?.openai_api_key &&
courseMetadata?.openai_api_key != ''
? courseMetadata.openai_api_key
: apiKey,
prompt: updatedConversation.prompt,
temperature: updatedConversation.temperature,
course_name: getCurrentPageName(),
stream: true,
isImage: false,
}

ai-ta-frontend/src/components/UIUC-Components/YourMaterialsTable.tsx

Lines 53 to 67 in b4f3e96

url: string,
) => {
try {
const API_URL = 'https://flask-production-751b.up.railway.app'
const response = await axios.delete(`${API_URL}/delete`, {
params: { course_name, s3_path, url },
})
// Handle successful deletion, show a success message
showToastOnFileDeleted(theme)
// Refresh the page
await router.push(router.asPath, undefined, { scroll: false, shallow: false })
} catch (error) {
console.error(error)
// Show error message
showToastOnFileDeleted(theme, true)

ai-ta-frontend/src/components/UIUC-Components/MakeOldCoursePage.tsx

Lines 170 to 240 in b4f3e96

<DropzoneS3Upload
course_name={course_name}
redirect_to_gpt_4={false}
courseMetadata={courseMetadata}
/>
</div>
</Flex>
{/* NOMIC not bad, not great */}
{/* <iframe className="nomic-iframe pl-20" id="iframe6a6ab0e4-06c0-41f6-8798-7891877373be" allow="clipboard-read; clipboard-write" src="https://atlas.nomic.ai/map/d5d9e9d2-6d86-47c1-98fc-9cccba688559/6a6ab0e4-06c0-41f6-8798-7891877373be"/> */}
</div>
<div className="pt-8 pb-2 flex w-[85%] flex-col items-center justify-center">
{course_data && <MantineYourMaterialsTable course_materials={course_data} />}
{/* This is the old table view */}
{/* <MyTableView course_materials={course_data} /> */}
{/* <CourseFilesList files={course_data} /> */}
</div>
</Flex>
</div>
<GlobalFooter />
</main>
</>
)
}
import {
IconAlertTriangle,
IconCheck,
IconDownload,
IconLock,
} from '@tabler/icons-react'
import { CannotEditCourse } from './CannotEditCourse'
import { type CourseMetadata } from '~/types/courseMetadata'
// import { CannotViewCourse } from './CannotViewCourse'
interface CourseFile {
name: string
s3_path: string
course_name: string
readable_filename: string
type: string
url: string
base_url: string
}
interface CourseFilesListProps {
files: CourseFile[]
}
import { IconTrash } from '@tabler/icons-react'
import { MainPageBackground } from './MainPageBackground'
import { LoadingSpinner } from './LoadingSpinner'
import { extractEmailsFromClerk } from './clerkHelpers'
import Navbar from './navbars/Navbar'
import EditCourseCard from '~/components/UIUC-Components/EditCourseCard'
import { notifications } from '@mantine/notifications'
import GlobalFooter from './GlobalFooter'
import { montserrat_heading } from 'fonts'
import MyTableView from './YourMaterialsTable'
import { MantineYourMaterialsTable } from './MantineYourMaterialsTable'
// const CourseFilesList = ({ files }: CourseFilesListProps) => {
// const router = useRouter()
// const { classes, theme } = useStyles()
// const handleDelete = async (
// course_name: string,
// s3_path: string,
// url: string,
// ) => {

Step 2: ⌨️ Coding

Modify src/components/Chat/Chat.tsx with contents:
• Replace the hardcoded URL in the fetch call with a template literal that uses the RAILWAY_URL environment variable.
• Change line 158 to: `https://\${process.env.RAILWAY_URL}/onResponseCompletion`, 
--- 
+++ 
@@ -155,7 +155,7 @@
     try {
       // Log conversation to our Flask Backend (especially Nomic)
       const response = await fetch(
-        `https://flask-production-751b.up.railway.app/onResponseCompletion`,
+        `https://${process.env.RAILWAY_URL}/onResponseCompletion`, 
         {
           method: 'POST',
           headers: {
  • Running GitHub Actions for src/components/Chat/Chat.tsx ✓ Edit
Check src/components/Chat/Chat.tsx with contents:

Ran GitHub Actions for fe1ac85e2fedb7c61b86733713914291eb75bf3d:
• Vercel Preview Comments: ✓

  • Modify src/components/Chat/NewChat.tsx ✓ 070d8ea Edit
Modify src/components/Chat/NewChat.tsx with contents:
• Replace the hardcoded URL in the fetch call with a template literal that uses the RAILWAY_URL environment variable.
• Change line 270 to: `https://\${process.env.RAILWAY_URL}/onResponseCompletion`, 
--- 
+++ 
@@ -260,8 +260,8 @@
 
     try {
       // Log conversation to our Flask Backend (especially Nomic)
-      const response = await fetch(
-        `https://flask-production-751b.up.railway.app/onResponseCompletion`,
+            const response = await fetch(
+        `https://${process.env.RAILWAY_URL}/onResponseCompletion`,
         {
           method: 'POST',
           headers: {
  • Running GitHub Actions for src/components/Chat/NewChat.tsx ✓ Edit
Check src/components/Chat/NewChat.tsx with contents:

Ran GitHub Actions for 070d8eac2ddb5f2c8aa2a9aa4cb84bad780fe5ae:
• Vercel Preview Comments: ✓

  • Modify src/components/UIUC-Components/YourMaterialsTable.tsx ✓ 6f5d611 Edit
Modify src/components/UIUC-Components/YourMaterialsTable.tsx with contents:
• Replace the hardcoded URL in the axios.delete call with a template literal that uses the RAILWAY_URL environment variable.
• Change line 57 to: `https://\${process.env.RAILWAY_URL}/delete`, 
--- 
+++ 
@@ -53,8 +53,7 @@
     url: string,
   ) => {
     try {
-      const API_URL = 'https://flask-production-751b.up.railway.app'
-      const response = await axios.delete(`${API_URL}/delete`, {
+      const response = await axios.delete(`https://${process.env.RAILWAY_URL}/delete`, {
         params: { course_name, s3_path, url },
       })
       // Handle successful deletion, show a success message
  • Running GitHub Actions for src/components/UIUC-Components/YourMaterialsTable.tsx ✓ Edit
Check src/components/UIUC-Components/YourMaterialsTable.tsx with contents:

Ran GitHub Actions for 6f5d611e029e2f5e328d5a43e3492f7e63967d7d:
• Vercel Preview Comments: ✓

  • Modify src/components/UIUC-Components/MakeOldCoursePage.tsx ! No changes made Edit
Modify src/components/UIUC-Components/MakeOldCoursePage.tsx with contents:
• Since the file does not contain a hardcoded URL, no changes are required here. The issue description may have included this file by mistake.
  • Running GitHub Actions for src/components/UIUC-Components/MakeOldCoursePage.tsx ✗ Edit
Check src/components/UIUC-Components/MakeOldCoursePage.tsx with contents:
  • Modify src/pages/api/chat.ts ! No changes made Edit
Modify src/pages/api/chat.ts with contents:
• Replace the hardcoded URL in the fetch call with a template literal that uses the RAILWAY_URL environment variable.
• Change line 158 to: `https://\${process.env.RAILWAY_URL}/onResponseCompletion`,
  • Running GitHub Actions for src/pages/api/chat.ts ✗ Edit
Check src/pages/api/chat.ts with contents:

Step 3: 🔁 Code Review

I have finished reviewing the code for completeness. I did not find errors for sweep/move_hardcorded_backend_flask_url_from_a.

🎉 Latest improvements to Sweep:
  • New dashboard launched for real-time tracking of Sweep issues, covering all stages from search to coding.
  • Integration of OpenAI's latest Assistant API for more efficient and reliable code planning and editing, improving speed by 3x.
  • Use the GitHub issues extension for creating Sweep issues directly from your editor.

💡 To recreate the pull request edit the issue title or description. To tweak the pull request, leave a comment on the pull request.Something wrong? Let us know.

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from ai-ta-frontend.

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