diff --git a/.eslintrc.json b/.eslintrc.json index e3111bf3..9093ec60 100644 --- a/.eslintrc.json +++ b/.eslintrc.json @@ -12,5 +12,15 @@ "react": { "version": "detect" } + }, + "rules": { + "@typescript-eslint/no-unused-vars": [ + "error", + { + "argsIgnorePattern": "^_", + "varsIgnorePattern": "^_", + "ignoreRestSiblings": true + } + ] } } diff --git a/package-lock.json b/package-lock.json index 809ea8c6..d103d4d3 100644 --- a/package-lock.json +++ b/package-lock.json @@ -11,10 +11,16 @@ "dependencies": { "@fortawesome/fontawesome-svg-core": "^6.7.2", "@next/env": "^15.1.4", + "@patternfly/chatbot": "^2.1.0-prerelease.17", "@patternfly/react-core": "^6.1.0", "@patternfly/react-icons": "^6.0.0", "@patternfly/react-styles": "^6.0.0", + "@patternfly/react-table": "^6.1.0", + "@patternfly/virtual-assistant": "^2.0.2", "axios": "^1.7.9", + "date-fns": "^4.1.0", + "dompurify": "^3.2.3", + "fs": "^0.0.1-security", "isomorphic-git": "^1.29.0", "js-yaml": "^4.1.0", "next": "^15.1.3", @@ -44,9 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{ "node": "^12.22.0 || ^14.17.0 || >=16.0.0" }, - "funding": { - "url": "https://opencollective.com/eslint" - }, "peerDependencies": { "eslint": "^6.0.0 || ^7.0.0 || >=8.0.0" } }, + "node_modules/@eslint-community/eslint-utils/node_modules/eslint-visitor-keys": { + "version": "3.4.3", + "dev": true, + "license": "Apache-2.0", + "engines": { + "node": "^12.22.0 || ^14.17.0 || >=16.0.0" + }, + "funding": { + "url": "https://opencollective.com/eslint" + } + }, "node_modules/@eslint-community/regexpp": { - "version": "4.12.1", - "resolved": "https://registry.npmjs.org/@eslint-community/regexpp/-/regexpp-4.12.1.tgz", - "integrity": "sha512-CCZCDJuduB9OUkFkY2IgppNZMi2lBQgD2qzwXkEia16cge2pijY/aXi96CJMquDMn3nJdlPV1A5KrJEXwfLNzQ==", + "version": "4.11.0", "dev": true, "license": "MIT", "engines": { @@ -116,8 +121,6 @@ }, "node_modules/@eslint/eslintrc": { "version": "2.1.4", - "resolved": "https://registry.npmjs.org/@eslint/eslintrc/-/eslintrc-2.1.4.tgz", - "integrity": 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"call-bind": "^1.0.8", - "call-bound": "^1.0.3", + "call-bind": "^1.0.7", "for-each": "^0.3.3", - "gopd": "^1.2.0", + "gopd": "^1.0.1", "has-tostringtag": "^1.0.2" }, "engines": { @@ -6725,8 +7119,6 @@ }, "node_modules/winston": { "version": "3.17.0", - "resolved": "https://registry.npmjs.org/winston/-/winston-3.17.0.tgz", - "integrity": "sha512-DLiFIXYC5fMPxaRg832S6F5mJYvePtmO5G9v9IgUFPhXm9/GkXarH/TUrBAVzhTCzAj9anE/+GjrgXp/54nOgw==", "license": "MIT", "dependencies": { "@colors/colors": "^1.6.0", @@ -6747,8 +7139,6 @@ }, "node_modules/winston-transport": { "version": "4.9.0", - "resolved": "https://registry.npmjs.org/winston-transport/-/winston-transport-4.9.0.tgz", - "integrity": "sha512-8drMJ4rkgaPo1Me4zD/3WLfI/zPdA9o2IipKODunnGDcuqbHwjsbB79ylv04LCGGzU0xQ6vTznOMpQGaLhhm6A==", "license": "MIT", "dependencies": { "logform": "^2.7.0", @@ -6761,8 +7151,6 @@ }, "node_modules/word-wrap": { "version": "1.2.5", - "resolved": "https://registry.npmjs.org/word-wrap/-/word-wrap-1.2.5.tgz", - "integrity": "sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA==", "dev": true, "license": "MIT", "engines": { @@ -6771,8 +7159,6 @@ }, "node_modules/wrap-ansi": { "version": "8.1.0", - 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"resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz", - "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==", "dev": true, "license": "MIT" }, "node_modules/wrap-ansi-cjs/node_modules/string-width": { "version": "4.2.3", - "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz", - "integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==", "dev": true, "license": "MIT", "dependencies": { @@ -6829,9 +7239,7 @@ } }, "node_modules/wrap-ansi/node_modules/ansi-regex": { - "version": "6.1.0", - "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-6.1.0.tgz", - "integrity": "sha512-7HSX4QQb4CspciLpVFwyRe79O3xsIZDDLER21kERQ71oaPodF8jL725AgJMFAYbooIqolJoRLuM81SpeUkpkvA==", + "version": "6.0.1", "dev": true, "license": "MIT", "engines": { @@ -6843,8 +7251,6 @@ }, "node_modules/wrap-ansi/node_modules/ansi-styles": { "version": "6.2.1", - "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-6.2.1.tgz", - "integrity": "sha512-bN798gFfQX+viw3R7yrGWRqnrN2oRkEkUjjl4JNn4E8GxxbjtG3FbrEIIY3l8/hrwUwIeCZvi4QuOTP4MErVug==", "dev": true, "license": "MIT", "engines": { @@ -6856,8 +7262,6 @@ }, "node_modules/wrap-ansi/node_modules/strip-ansi": { "version": "7.1.0", - "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-7.1.0.tgz", - "integrity": "sha512-iq6eVVI64nQQTRYq2KtEg2d2uU7LElhTJwsH4YzIHZshxlgZms/wIc4VoDQTlG/IvVIrBKG06CrZnp0qv7hkcQ==", "dev": true, "license": "MIT", "dependencies": { @@ -6872,20 +7276,17 @@ }, "node_modules/wrappy": { "version": "1.0.2", - "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz", - "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==", "license": "ISC" }, - "node_modules/yallist": { - "version": "4.0.0", - "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz", - "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==", - "license": "ISC" + "node_modules/xtend": { + "version": "4.0.2", + "license": "MIT", + "engines": { + "node": ">=0.4" + } }, "node_modules/yocto-queue": { "version": "0.1.0", - "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz", - "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==", "dev": true, "license": "MIT", "engines": { @@ -6894,6 +7295,14 @@ "funding": { "url": "https://github.com/sponsors/sindresorhus" } + }, + "node_modules/zwitch": { + "version": "2.0.4", + "license": "MIT", + "funding": { + "type": "github", + "url": "https://github.com/sponsors/wooorm" + } } } } diff --git a/package.json b/package.json index 64872611..8dc5878b 100644 --- a/package.json +++ b/package.json @@ -19,10 +19,16 @@ "dependencies": { "@fortawesome/fontawesome-svg-core": "^6.7.2", "@next/env": "^15.1.4", + "@patternfly/chatbot": "^2.1.0-prerelease.17", "@patternfly/react-core": "^6.1.0", "@patternfly/react-icons": "^6.0.0", "@patternfly/react-styles": "^6.0.0", "axios": "^1.7.9", + "@patternfly/react-table": "^6.1.0", + "@patternfly/virtual-assistant": "^2.0.2", + "date-fns": "^4.1.0", + "dompurify": "^3.2.3", + "fs": "^0.0.1-security", "isomorphic-git": "^1.29.0", "js-yaml": "^4.1.0", "next": "^15.1.3", diff --git a/src/app/api/fine-tune/data-sets/route.ts b/src/app/api/fine-tune/data-sets/route.ts new file mode 100644 index 00000000..121e7468 --- /dev/null +++ b/src/app/api/fine-tune/data-sets/route.ts @@ -0,0 +1,23 @@ +// src/pages/api/fine-tune/data-sets.ts +'use server'; + +import { NextRequest, NextResponse } from 'next/server'; + +export async function GET(_request: NextRequest) { + // eslint-disable-line @typescript-eslint/no-unused-vars + try { + const API_SERVER = process.env.NEXT_PUBLIC_API_SERVER!; + + const response = await fetch(`${API_SERVER}/data`); + const data = await response.json(); + + if (!response.ok) { + return NextResponse.json({ error: 'Failed to fetch datasets' }, { status: response.status }); + } + + return NextResponse.json(data, { status: 200 }); + } catch (error) { + console.error('Error fetching datasets:', error); + return NextResponse.json({ error: 'Internal Server Error' }, { status: 500 }); + } +} diff --git a/src/app/api/fine-tune/data/generate/route.ts b/src/app/api/fine-tune/data/generate/route.ts new file mode 100644 index 00000000..98df5d1f --- /dev/null +++ b/src/app/api/fine-tune/data/generate/route.ts @@ -0,0 +1,25 @@ +'use server'; + +import { NextResponse } from 'next/server'; + +export async function POST(_request: Request) { + try { + const API_SERVER = process.env.NEXT_PUBLIC_API_SERVER!; + + const response = await fetch(`${API_SERVER}/data/generate`, { + method: 'POST' + }); + + if (!response.ok) { + console.error('Error response from API server:', response.status, response.statusText); + return NextResponse.json({ error: 'Failed to generate data' }, { status: response.status }); + } + + const responseData = await response.json(); + + return NextResponse.json(responseData, { status: 200 }); + } catch (error) { + console.error('Error generating data:', error); + return NextResponse.json({ error: 'An error occurred while generating data' }, { status: 500 }); + } +} diff --git a/src/app/api/fine-tune/git/branches/route.ts b/src/app/api/fine-tune/git/branches/route.ts new file mode 100644 index 00000000..ccb1902a --- /dev/null +++ b/src/app/api/fine-tune/git/branches/route.ts @@ -0,0 +1,65 @@ +// src/app/api/native/fine-tune/git/branches/route.ts +import { NextResponse } from 'next/server'; +import * as git from 'isomorphic-git'; +import fs from 'fs'; +import path from 'path'; + +const REMOTE_TAXONOMY_ROOT_DIR = process.env.NEXT_PUBLIC_TAXONOMY_ROOT_DIR || ''; + +export async function GET() { + const REPO_DIR = path.join(REMOTE_TAXONOMY_ROOT_DIR, '/taxonomy'); + try { + console.log(`Checking local taxonomy directory for branches: ${REPO_DIR}`); + + // Ensure the repository path exists + if (!fs.existsSync(REPO_DIR)) { + console.log('Local repository path does not exist:', REPO_DIR); + return NextResponse.json({ error: 'Local repository path does not exist.' }, { status: 400 }); + } + + console.log('Local taxonomy directory exists. Proceeding with branch listing.'); + + // List all branches in the repository + const branches = await git.listBranches({ fs, dir: REPO_DIR }); + console.log(`Branches found: ${branches.join(', ')}`); + + const branchDetails = []; + + for (const branch of branches) { + const branchCommit = await git.resolveRef({ + fs, + dir: REPO_DIR, + ref: branch + }); + const commitDetails = await git.readCommit({ + fs, + dir: REPO_DIR, + oid: branchCommit + }); + + const commitMessage = commitDetails.commit.message; + + // Check for Signed-off-by line + const signoffMatch = commitMessage.match(/^Signed-off-by: (.+)$/m); + const signoff = signoffMatch ? signoffMatch[1] : null; + const messageStr = commitMessage.split('Signed-off-by'); + + branchDetails.push({ + name: branch, + creationDate: commitDetails.commit.committer.timestamp * 1000, + message: messageStr[0].replace(/\n+$/, ''), + author: signoff + }); + } + + // Sort by creation date, newest first + branchDetails.sort((a, b) => b.creationDate - a.creationDate); + + console.log('Total branches present in native taxonomy (fine-tune):', branchDetails.length); + + return NextResponse.json({ branches: branchDetails }, { status: 200 }); + } catch (error) { + console.error('Failed to list branches from local taxonomy (fine-tune):', error); + return NextResponse.json({ error: 'Failed to list branches from local taxonomy (fine-tune)' }, { status: 500 }); + } +} diff --git a/src/app/api/fine-tune/gpu-free/route.ts b/src/app/api/fine-tune/gpu-free/route.ts new file mode 100644 index 00000000..ccadfa06 --- /dev/null +++ b/src/app/api/fine-tune/gpu-free/route.ts @@ -0,0 +1,24 @@ +// src/app/api/fine-tune/gpu-free/route.ts +'use server'; + +import { NextResponse } from 'next/server'; + +export async function GET() { + try { + const API_SERVER = process.env.NEXT_PUBLIC_API_SERVER!; + const endpoint = `${API_SERVER}/gpu-free`; + + const resp = await fetch(endpoint); + if (!resp.ok) { + console.error('gpu-free error from API server:', resp.status, resp.statusText); + return NextResponse.json({ free_gpus: 0 }, { status: 200 }); + // Return 0 in case of error + } + + const data = await resp.json(); + return NextResponse.json(data, { status: 200 }); + } catch (error) { + console.error('Unexpected error in gpu-free route:', error); + return NextResponse.json({ free_gpus: 0 }, { status: 200 }); + } +} diff --git a/src/app/api/fine-tune/jobs/[job_id]/logs/route.ts b/src/app/api/fine-tune/jobs/[job_id]/logs/route.ts new file mode 100644 index 00000000..acacc40e --- /dev/null +++ b/src/app/api/fine-tune/jobs/[job_id]/logs/route.ts @@ -0,0 +1,31 @@ +import { NextRequest, NextResponse } from 'next/server'; + +type LogsRouteProps = { + params: Promise<{ job_id: string }>; +}; + +export async function GET(request: NextRequest, props: LogsRouteProps) { + const { job_id } = await props.params; + + try { + const API_SERVER = process.env.NEXT_PUBLIC_API_SERVER!; + const endpoint = `${API_SERVER}/jobs/${job_id}/logs`; + console.log('Forwarding logs request to:', endpoint); + + const response = await fetch(endpoint, { method: 'GET' }); + if (!response.ok) { + const errorText = await response.text(); + console.error('Error from API server:', errorText); + return NextResponse.json({ error: 'Error fetching logs' }, { status: 500 }); + } + + const logs = await response.text(); + return new NextResponse(logs, { + status: 200, + headers: { 'Content-Type': 'text/plain' } + }); + } catch (error) { + console.error('Error fetching logs:', error); + return NextResponse.json({ error: 'Error fetching logs' }, { status: 500 }); + } +} diff --git a/src/app/api/fine-tune/jobs/[job_id]/status/route.ts b/src/app/api/fine-tune/jobs/[job_id]/status/route.ts new file mode 100644 index 00000000..e1f43e15 --- /dev/null +++ b/src/app/api/fine-tune/jobs/[job_id]/status/route.ts @@ -0,0 +1,32 @@ +// src/app/api/fine-tune/jobs/[job_id]/status/route.ts +'use server'; + +import { NextRequest, NextResponse } from 'next/server'; + +type StatusRouteProps = { + params: Promise<{ job_id: string }>; +}; + +export async function GET(request: NextRequest, props: StatusRouteProps) { + const { job_id } = await props.params; + const API_SERVER = process.env.NEXT_PUBLIC_API_SERVER!; + + try { + const response = await fetch(`${API_SERVER}/jobs/${job_id}/status`, { + method: 'GET' + }); + + if (!response.ok) { + const errorText = await response.text(); + console.error('Error from API server:', errorText); + return NextResponse.json({ error: 'Error fetching job status' }, { status: 500 }); + } + + // Return the job status to the client + const result = await response.json(); + return NextResponse.json(result, { status: 200 }); + } catch (error) { + console.error('Error fetching job status:', error); + return NextResponse.json({ error: 'Error fetching job status' }, { status: 500 }); + } +} diff --git a/src/app/api/fine-tune/jobs/route.ts b/src/app/api/fine-tune/jobs/route.ts new file mode 100644 index 00000000..59bb7540 --- /dev/null +++ b/src/app/api/fine-tune/jobs/route.ts @@ -0,0 +1,23 @@ +// src/app/api/fine-tune/jobs/route.ts +'use server'; + +import { NextResponse } from 'next/server'; + +export async function GET(_request: Request) { + // eslint-disable-line @typescript-eslint/no-unused-vars + const API_SERVER = process.env.NEXT_PUBLIC_API_SERVER!; + + try { + const response = await fetch(`${API_SERVER}/jobs`); + if (!response.ok) { + const errorText = await response.text(); + console.error('Error from API server:', errorText); + return NextResponse.json({ error: 'Error fetching jobs' }, { status: 500 }); + } + const result = await response.json(); + return NextResponse.json(result, { status: 200 }); + } catch (error) { + console.error('Error fetching jobs:', error); + return NextResponse.json({ error: 'Error fetching jobs' }, { status: 500 }); + } +} diff --git a/src/app/api/fine-tune/model/serve-base/route.ts b/src/app/api/fine-tune/model/serve-base/route.ts new file mode 100644 index 00000000..75dd8a6c --- /dev/null +++ b/src/app/api/fine-tune/model/serve-base/route.ts @@ -0,0 +1,53 @@ +// src/app/api/model/serve-base/route.ts +'use server'; + +import { NextResponse } from 'next/server'; + +export async function POST() { + try { + console.log('Received serve-base model request'); + + const API_SERVER = process.env.NEXT_PUBLIC_API_SERVER!; + const endpoint = `${API_SERVER}/model/serve-base`; + + console.log(`Forwarding request to the API server: ${endpoint}`); + + // No request body needed for serving the base model + const response = await fetch(endpoint, { + method: 'POST', + headers: { 'Content-Type': 'application/json' } + }); + + console.log('Response from API server (serve-base):', { + status: response.status, + statusText: response.statusText + }); + + if (!response.ok) { + console.error('Error response from the API server:', response.status, response.statusText); + return NextResponse.json({ error: 'Failed to serve the base model on the API server' }, { status: response.status }); + } + + // Parse response safely + let responseData; + try { + const text = await response.text(); + responseData = text ? JSON.parse(text) : {}; + console.log('Parsed response data (serve-base):', responseData); + } catch (error) { + console.error('Error parsing JSON response from API server:', error); + return NextResponse.json({ error: 'Invalid JSON response from the API server' }, { status: 500 }); + } + + if (!responseData.job_id) { + console.error('Missing job_id in API server response for serve-base:', responseData); + return NextResponse.json({ error: 'API server response does not contain job_id' }, { status: 500 }); + } + + console.log('Returning success response with job_id (serve-base):', responseData.job_id); + return NextResponse.json(responseData, { status: 200 }); + } catch (error) { + console.error('Unexpected error during serve-base:', error); + return NextResponse.json({ error: 'An unexpected error occurred during serving the base model' }, { status: 500 }); + } +} diff --git a/src/app/api/fine-tune/model/serve-latest/route.ts b/src/app/api/fine-tune/model/serve-latest/route.ts new file mode 100644 index 00000000..6d173ada --- /dev/null +++ b/src/app/api/fine-tune/model/serve-latest/route.ts @@ -0,0 +1,54 @@ +// src/app/api/model/serve-latest/route.ts +'use server'; + +import { NextResponse } from 'next/server'; + +export async function POST() { + try { + console.log('Received serve-latest model request'); + + const API_SERVER = process.env.NEXT_PUBLIC_API_SERVER!; + const endpoint = `${API_SERVER}/model/serve-latest`; + + console.log(`Forwarding request to API server: ${endpoint}`); + + // TODO: Send an empty JSON object as the body until passing checkpoints is implemented on the client side + const response = await fetch(endpoint, { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({}) + }); + + console.log('Response from API server:', { + status: response.status, + statusText: response.statusText + }); + + if (!response.ok) { + console.error('Error response from API server:', response.status, response.statusText); + return NextResponse.json({ error: 'Failed to serve the latest model on the API server' }, { status: response.status }); + } + + // Parse response safely + let responseData; + try { + const text = await response.text(); + responseData = text ? JSON.parse(text) : {}; + console.log('Parsed response data (serve-latest):', responseData); + } catch (error) { + console.error('Error parsing JSON response from API server:', error); + return NextResponse.json({ error: 'Invalid JSON response from the API server' }, { status: 500 }); + } + + if (!responseData.job_id) { + console.error('Missing job_id in API server response for serve-latest:', responseData); + return NextResponse.json({ error: 'API server response does not contain job_id' }, { status: 500 }); + } + + console.log('Returning success response with job_id (serve-latest):', responseData.job_id); + return NextResponse.json(responseData, { status: 200 }); + } catch (error) { + console.error('Unexpected error during serve-latest:', error); + return NextResponse.json({ error: 'An unexpected error occurred during serving the latest model' }, { status: 500 }); + } +} diff --git a/src/app/api/fine-tune/model/train/route.ts b/src/app/api/fine-tune/model/train/route.ts new file mode 100644 index 00000000..f6d6f158 --- /dev/null +++ b/src/app/api/fine-tune/model/train/route.ts @@ -0,0 +1,76 @@ +// src/app/api/fine-tune/model/train/route.ts +'use server'; + +import { NextResponse } from 'next/server'; + +export async function POST(request: Request) { + try { + console.log('Received train job request'); + + // Parse the request body for required data + const { modelName, branchName, epochs } = await request.json(); + const API_SERVER = process.env.NEXT_PUBLIC_API_SERVER!; + + console.log('Request body:', { modelName, branchName, epochs }); + + if (!modelName || !branchName) { + console.error('Missing required parameters: modelName and branchName'); + return NextResponse.json({ error: 'Missing required parameters: modelName and branchName' }, { status: 400 }); + } + + // Validate epochs if provided + if (epochs !== undefined && (typeof epochs !== 'number' || epochs <= 0)) { + return NextResponse.json({ error: "'epochs' must be a positive integer" }, { status: 400 }); + } + + // Forward the request to the API server + const endpoint = `${API_SERVER}/model/train`; + + console.log(`Forwarding request to API server: ${API_SERVER}`); + + const response = await fetch(endpoint, { + method: 'POST', + headers: { + 'Content-Type': 'application/json' + }, + body: JSON.stringify({ + modelName, + branchName, + epochs + }) + }); + + console.log('Response from API server:', { + status: response.status, + statusText: response.statusText + }); + + if (!response.ok) { + const errorText = await response.text(); + console.error('Error response from API server:', response.status, response.statusText, errorText); + return NextResponse.json({ error: 'Failed to train the model on the API server' }, { status: response.status }); + } + + // Parse response safely + let responseData; + try { + const text = await response.text(); + responseData = text ? JSON.parse(text) : {}; + console.log('Parsed response data:', responseData); + } catch (error) { + console.error('Error parsing JSON response from API server:', error); + return NextResponse.json({ error: 'Invalid JSON response from the API server' }, { status: 500 }); + } + + if (!responseData.job_id) { + console.error('Missing job_id in API server response:', responseData); + return NextResponse.json({ error: 'API server response does not contain job_id' }, { status: 500 }); + } + + console.log('Returning success response with job_id:', responseData.job_id); + return NextResponse.json(responseData, { status: 200 }); + } catch (error) { + console.error('Unexpected error during training:', error); + return NextResponse.json({ error: 'An unexpected error occurred during training' }, { status: 500 }); + } +} diff --git a/src/app/api/fine-tune/model/vllm-status/route.ts b/src/app/api/fine-tune/model/vllm-status/route.ts new file mode 100644 index 00000000..717d3f77 --- /dev/null +++ b/src/app/api/fine-tune/model/vllm-status/route.ts @@ -0,0 +1,33 @@ +// src/app/api/fine-tune/model/vllm-status +'use server'; + +import { NextResponse } from 'next/server'; + +export async function GET(request: Request) { + try { + const { searchParams } = new URL(request.url); + const modelName = searchParams.get('modelName'); + if (!modelName) { + return NextResponse.json({ error: 'Missing modelName query param' }, { status: 400 }); + } + + // const res = await fetch(`/api/fine-tune/model/vllm-status?modelName=${vllmName}`); + + const API_SERVER = process.env.NEXT_PUBLIC_API_SERVER!; + const endpoint = `${API_SERVER}/vllm-status?model_name=${modelName}`; + + console.log('Forwarding request to vllm-status:', endpoint); + + const response = await fetch(endpoint); + if (!response.ok) { + console.error('vllm-status error from API server:', response.status, response.statusText); + return NextResponse.json({ error: 'Failed to get vllm status' }, { status: response.status }); + } + + const statusData = await response.json(); + return NextResponse.json(statusData, { status: 200 }); + } catch (error) { + console.error('Unexpected error in vllm-status route:', error); + return NextResponse.json({ error: 'Unexpected error fetching vllm status' }, { status: 500 }); + } +} diff --git a/src/app/api/fine-tune/model/vllm-unload/route.ts b/src/app/api/fine-tune/model/vllm-unload/route.ts new file mode 100644 index 00000000..1b06a881 --- /dev/null +++ b/src/app/api/fine-tune/model/vllm-unload/route.ts @@ -0,0 +1,34 @@ +'use server'; + +import { NextResponse } from 'next/server'; + +export async function POST(request: Request) { + try { + const body = await request.json(); + const { model_name } = body; + if (!model_name) { + return NextResponse.json({ error: 'Missing model_name' }, { status: 400 }); + } + + const API_SERVER = process.env.NEXT_PUBLIC_API_SERVER!; + const endpoint = `${API_SERVER}/vllm-unload`; + + const resp = await fetch(endpoint, { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ model_name }) + }); + + if (!resp.ok) { + const errorText = await resp.text(); + console.error('Unload model error from API server:', errorText); + return NextResponse.json({ error: errorText }, { status: resp.status }); + } + + const data = await resp.json(); + return NextResponse.json(data, { status: 200 }); + } catch (error) { + console.error('Unexpected error in vllm-unload route:', error); + return NextResponse.json({ error: 'An unexpected error occurred' }, { status: 500 }); + } +} diff --git a/src/app/api/fine-tune/models/route.ts b/src/app/api/fine-tune/models/route.ts new file mode 100644 index 00000000..5f16454c --- /dev/null +++ b/src/app/api/fine-tune/models/route.ts @@ -0,0 +1,23 @@ +// src/app/api/fine-tune/models/route.ts +'use server'; + +import { NextRequest, NextResponse } from 'next/server'; + +export async function GET(_request: NextRequest) { + // eslint-disable-line @typescript-eslint/no-unused-vars + try { + const API_SERVER = process.env.NEXT_PUBLIC_API_SERVER!; + + const response = await fetch(`${API_SERVER}/models`); + const data = await response.json(); + + if (!response.ok) { + return NextResponse.json({ error: 'Failed to fetch models' }, { status: response.status }); + } + + return NextResponse.json(data, { status: 200 }); + } catch (error) { + console.error('Error fetching models:', error); + return NextResponse.json({ error: 'Internal Server Error' }, { status: 500 }); + } +} diff --git a/src/app/api/fine-tune/pipeline/generate-train/route.ts b/src/app/api/fine-tune/pipeline/generate-train/route.ts new file mode 100644 index 00000000..1c9eff4b --- /dev/null +++ b/src/app/api/fine-tune/pipeline/generate-train/route.ts @@ -0,0 +1,91 @@ +// src/app/api/fine-tune/pipeline/generate-train/route.ts +'use server'; + +import { NextResponse } from 'next/server'; + +interface GenerateTrainPipelineSuccessResponse { + pipeline_job_id: string; +} + +// Interface for an error response from the API server +interface GenerateTrainPipelineErrorResponse { + error: string; +} + +// Union type for API responses +type GenerateTrainPipelineAPIResponse = GenerateTrainPipelineSuccessResponse | GenerateTrainPipelineErrorResponse; + +export async function POST(request: Request): Promise> { + try { + // Parse the request body for required data + const { modelName, branchName, epochs } = await request.json(); + const API_SERVER = process.env.NEXT_PUBLIC_API_SERVER!; + + console.log('Request body:', { modelName, branchName, epochs }); + + // Validate required parameters + if (!modelName || !branchName) { + console.error('Missing required parameters: modelName and branchName'); + return NextResponse.json({ error: 'Missing required parameters: modelName and branchName' }, { status: 400 }); + } + + // Validate epochs if provided + if (epochs !== undefined && (typeof epochs !== 'number' || epochs <= 0)) { + return NextResponse.json({ error: "'epochs' must be a positive integer" }, { status: 400 }); + } + + // Forward the request to the API server's pipeline endpoint + const endpoint = `${API_SERVER}/pipeline/generate-train`; + + const response = await fetch(endpoint, { + method: 'POST', + headers: { + 'Content-Type': 'application/json' + }, + body: JSON.stringify({ + modelName, + branchName, + epochs + }) + }); + + console.log('Response from API server:', { + status: response.status, + statusText: response.statusText + }); + + // Read the response body as text + const responseText = await response.text(); + + // Attempt to parse the response as JSON + let responseData: GenerateTrainPipelineAPIResponse; + try { + responseData = JSON.parse(responseText); + console.log('Parsed response data:', responseData); + } catch (error) { + console.error('Error parsing JSON response from API server:', error); + return NextResponse.json({ error: 'Invalid JSON response from the API server' }, { status: 500 }); + } + + // Use 'let' instead of 'const' for responseData + // Determine if the response is a success or error + if ('pipeline_job_id' in responseData) { + // Successful response + if (!responseData.pipeline_job_id) { + console.error('Missing pipeline_job_id in API server response:', responseData); + return NextResponse.json({ error: 'API server response does not contain pipeline_job_id' }, { status: 500 }); + } + + // Return the successful response to the client + console.log('Returning success response with pipeline_job_id:', responseData.pipeline_job_id); + return NextResponse.json(responseData, { status: 200 }); + } else { + // Error response + console.error('API server returned an error:', responseData.error); + return NextResponse.json({ error: responseData.error || 'Failed to start generate-train pipeline' }, { status: response.status }); + } + } catch (error) { + console.error('Unexpected error during training:', error); + return NextResponse.json({ error: 'An unexpected error occurred during training' }, { status: 500 }); + } +} diff --git a/src/app/experimental/chat-eval/page.tsx b/src/app/experimental/chat-eval/page.tsx new file mode 100644 index 00000000..5f408703 --- /dev/null +++ b/src/app/experimental/chat-eval/page.tsx @@ -0,0 +1,17 @@ +// src/app/experimental/chat-eval/page.tsx +'use client'; + +import * as React from 'react'; +import '@patternfly/react-core/dist/styles/base.css'; +import { AppLayout } from '@/components/AppLayout'; +import ChatModelEval from '@/components/Experimental/ChatEval/ChatEval'; + +const ChatEval: React.FunctionComponent = () => { + return ( + + + + ); +}; + +export default ChatEval; diff --git a/src/app/experimental/fine-tune/page.tsx b/src/app/experimental/fine-tune/page.tsx new file mode 100644 index 00000000..82f74461 --- /dev/null +++ b/src/app/experimental/fine-tune/page.tsx @@ -0,0 +1,17 @@ +// src/app/experimental/fine-tune/page.tsx +'use client'; + +import * as React from 'react'; +import '@patternfly/react-core/dist/styles/base.css'; +import { AppLayout } from '@/components/AppLayout'; +import FineTuning from '@/components/Experimental/FineTuning'; + +const FineTune: React.FunctionComponent = () => { + return ( + + + + ); +}; + +export default FineTune; diff --git a/src/components/AppLayout.tsx b/src/components/AppLayout.tsx index 240e1b50..e5f2bf6a 100644 --- a/src/components/AppLayout.tsx +++ b/src/components/AppLayout.tsx @@ -107,7 +107,11 @@ const AppLayout: React.FunctionComponent = ({ children }) => { }, isExperimentalEnabled && { path: '/experimental', - label: 'Experimental Features' + label: 'Experimental Features', + children: [ + { path: '/experimental/fine-tune/', label: 'Fine-tuning' }, + { path: '/experimental/chat-eval/', label: 'Model Chat Eval' } + ] } ].filter(Boolean) as Route[]; diff --git a/src/components/Experimental/ChatEval/ChatEval.tsx b/src/components/Experimental/ChatEval/ChatEval.tsx new file mode 100644 index 00000000..1473385d --- /dev/null +++ b/src/components/Experimental/ChatEval/ChatEval.tsx @@ -0,0 +1,916 @@ +// src/components/Experimental/ChatEval/ChatEval.tsx +'use client'; + +import React, { useState, useEffect } from 'react'; +import { + Breadcrumb, + BreadcrumbItem, + PageBreadcrumb, + PageSection, + Content, + Title, + Button, + DropdownList, + DropdownItem, + ExpandableSection, + Spinner, + CodeBlock, + CodeBlockCode, + Switch, + Badge +} from '@patternfly/react-core'; +import { FontAwesomeIcon } from '@fortawesome/react-fontawesome'; +import { faBroom } from '@fortawesome/free-solid-svg-icons'; +import { Endpoint, Model } from '@/types'; +import { + Chatbot, + ChatbotHeader, + ChatbotHeaderMain, + ChatbotHeaderActions, + ChatbotHeaderSelectorDropdown, + ChatbotContent, + MessageBox, + Message, + MessageProps, + MessageBar, + ChatbotWelcomePrompt, + ChatbotFooter, + ChatbotFootnote, + ChatbotAlert +} from '@patternfly/chatbot'; +import logo from '../../../../public/bot-icon-chat-32x32.svg'; +import userLogo from '../../../../public/default-avatar.svg'; +import ModelStatusIndicator from '@/components/Experimental/ModelServeStatus/ModelServeStatus'; + +// TODO: get nextjs app router server side render working with the patternfly chatbot component. +const MODEL_SERVER_URL = process.env.NEXT_PUBLIC_MODEL_SERVER_URL; + +const ChatModelEval: React.FC = () => { + const [isUnifiedInput, setIsUnifiedInput] = useState(false); + + // States for unified input + const [questionUnified, setQuestionUnified] = useState(''); + + // States for left chat + const [questionLeft, setQuestionLeft] = useState(''); + const [messagesLeft, setMessagesLeft] = useState([]); + const [selectedModelLeft, setSelectedModelLeft] = useState(null); + const [alertMessageLeft, setAlertMessageLeft] = useState<{ title: string; message: string; variant: 'danger' | 'info' } | undefined>(undefined); + + // States for right chat + const [questionRight, setQuestionRight] = useState(''); + const [messagesRight, setMessagesRight] = useState([]); + const [selectedModelRight, setSelectedModelRight] = useState(null); + const [alertMessageRight, setAlertMessageRight] = useState<{ title: string; message: string; variant: 'danger' | 'info' } | undefined>(undefined); + const [freeGpus, setFreeGpus] = useState(0); + const [totalGpus, setTotalGpus] = useState(0); + + const systemRole = + 'You are a cautious assistant. You carefully follow instructions.' + + ' You are helpful and harmless and you follow ethical guidelines and promote positive behavior. Only answer questions on what you are trained on.'; + + const [customModels, setCustomModels] = useState([]); + const [defaultModels, setDefaultModels] = useState([]); + const allModels = [...defaultModels, ...customModels]; + + const [modelJobIdLeft, setModelJobIdLeft] = useState(undefined); + const [modelJobIdRight, setModelJobIdRight] = useState(undefined); + + const [showModelLoadingLeft, setShowModelLoadingLeft] = useState(false); + const [showModelLoadingRight, setShowModelLoadingRight] = useState(false); + + // For logs viewing + const [expandedJobsLeft, setExpandedJobsLeft] = useState>({}); + const [jobLogsLeft, setJobLogsLeft] = useState>({}); + + const [expandedJobsRight, setExpandedJobsRight] = useState>({}); + const [jobLogsRight, setJobLogsRight] = useState>({}); + + useEffect(() => { + const fetchGpus = async () => { + try { + const res = await fetch('/api/fine-tune/gpu-free'); + if (!res.ok) { + console.error('Failed to fetch free GPUs:', res.status, res.statusText); + setFreeGpus(0); + setTotalGpus(0); + return; + } + const data = await res.json(); + setFreeGpus(data.free_gpus || 0); + setTotalGpus(data.total_gpus || 0); + } catch (err) { + console.error('Error fetching free GPUs:', err); + setFreeGpus(0); + setTotalGpus(0); + } + }; + + fetchGpus(); + const intervalId = setInterval(fetchGpus, 20000); + return () => clearInterval(intervalId); + }, []); + + // Fetch models on component mount + useEffect(() => { + const fetchDefaultModels = async () => { + // const response = await fetch('/api/envConfig'); + // const envConfig = await response.json(); + + const storedEndpoints = localStorage.getItem('endpoints'); + const cust: Model[] = storedEndpoints + ? JSON.parse(storedEndpoints).map((endpoint: Endpoint) => ({ + name: endpoint.modelName, + apiURL: `${endpoint.url}`, + modelName: endpoint.modelName + })) + : []; + + setDefaultModels([]); + setCustomModels(cust); + }; + + fetchDefaultModels(); + }, []); + + /** + * Helper function to map internal model identifiers to chat model names. + * "granite-base-served" => "pre-train" + * "granite-latest-served" => "post-train" + * Custom models retain their original modelName. + */ + const mapModelName = (modelName: string): string => { + if (modelName === 'granite-base-served') { + return 'pre-train'; + } else if (modelName === 'granite-latest-served') { + return 'post-train'; + } + return modelName; + }; + + const handleServeModel = async (endpoint: string, side: 'left' | 'right') => { + // Show loading popup + if (side === 'left') { + setShowModelLoadingLeft(true); + setTimeout(() => setShowModelLoadingLeft(false), 5000); + } else { + setShowModelLoadingRight(true); + setTimeout(() => setShowModelLoadingRight(false), 5000); + } + + try { + const response = await fetch(endpoint, { + method: 'POST' + }); + + if (!response.ok) { + console.error(`Failed to serve model from endpoint ${endpoint}`); + return; + } + + const data = await response.json(); + const { job_id } = data; + if (!job_id) { + console.error('No job_id returned from serving model'); + return; + } + + const loadingAlert = { + title: 'Model Loading', + message: 'One moment while the model is loading. Click "View Logs" below for details.', + variant: 'info' as const + }; + + if (side === 'left') { + setModelJobIdLeft(job_id); + setAlertMessageLeft(loadingAlert); + setTimeout(() => setAlertMessageLeft(undefined), 3000); + } else { + setModelJobIdRight(job_id); + setAlertMessageRight(loadingAlert); + setTimeout(() => setAlertMessageRight(undefined), 3000); + } + + // Once the model is served, set the selected model to the served endpoint + // For base model: port 8000 + // For latest checkpoint: port 8001 + if (endpoint.includes('serve-base')) { + const servedModel: Model = { + name: 'Granite base model (Serving)', + apiURL: `${MODEL_SERVER_URL}:8000`, // endpoint for base model + modelName: 'granite-base-served' + }; + + if (side === 'left') { + setSelectedModelLeft(servedModel); + } else { + setSelectedModelRight(servedModel); + } + } else if (endpoint.includes('serve-latest')) { + const servedModel: Model = { + name: 'Granite fine tune checkpoint (Serving)', + apiURL: `${MODEL_SERVER_URL}:8001`, // endpoint for latest checkpoint + modelName: 'granite-latest-served' + }; + + if (side === 'left') { + setSelectedModelLeft(servedModel); + } else { + setSelectedModelRight(servedModel); + } + } + } catch (error) { + console.error('Error serving model:', error); + } + }; + + const onSelectModelLeft = async (_event: React.MouseEvent | undefined, value: string | number | undefined) => { + // If "Granite fine tune checkpoint" selected + if (value === 'Granite fine tune checkpoint') { + await handleServeModel('/api/fine-tune/model/serve-latest', 'left'); + return; + } + + // If "Granite base model" selected + if (value === 'Granite base model') { + await handleServeModel('/api/fine-tune/model/serve-base', 'left'); + return; + } + + const chosen = allModels.find((model) => model.name === value) || null; + setSelectedModelLeft(chosen); + setAlertMessageLeft(undefined); + }; + + const onSelectModelRight = async (_event: React.MouseEvent | undefined, value: string | number | undefined) => { + if (value === 'Granite fine tune checkpoint') { + await handleServeModel('/api/fine-tune/model/serve-latest', 'right'); + return; + } + + if (value === 'Granite base model') { + await handleServeModel('/api/fine-tune/model/serve-base', 'right'); + return; + } + + const chosen = allModels.find((model) => model.name === value) || null; + setSelectedModelRight(chosen); + setAlertMessageRight(undefined); + }; + + // =============== Unload Model Logic (Left / Right) =============== + // Left uses model_name=pre-train, right uses model_name=post-train + const handleUnloadLeft = async () => { + try { + const resp = await fetch('/api/fine-tune/model/vllm-unload', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ model_name: 'pre-train' }) + }); + if (!resp.ok) { + console.error('Failed to unload pre-train:', resp.status, resp.statusText); + return; + } + const data = await resp.json(); + console.log('Unload left success:', data); + + // Optionally clear out the selected model and job logs on the left + setSelectedModelLeft(null); + setModelJobIdLeft(undefined); + setMessagesLeft([]); + setAlertMessageLeft({ + title: 'Model Unloaded', + message: 'Successfully unloaded the pre-train model.', + variant: 'info' + }); + setTimeout(() => { + setAlertMessageLeft(undefined); + }, 5000); + } catch (error) { + console.error('Error unloading model on left:', error); + } + }; + + const handleUnloadRight = async () => { + try { + const resp = await fetch('/api/fine-tune/model/vllm-unload', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ model_name: 'post-train' }) + }); + if (!resp.ok) { + console.error('Failed to unload post-train:', resp.status, resp.statusText); + return; + } + const data = await resp.json(); + console.log('Unload right success:', data); + + // Optionally clear out the selected model and job logs on the right + setSelectedModelRight(null); + setModelJobIdRight(undefined); + setMessagesRight([]); + setAlertMessageRight({ + title: 'Model Unloaded', + message: 'Successfully unloaded the post-train model.', + variant: 'info' + }); + setTimeout(() => { + setAlertMessageRight(undefined); + }, 5000); + } catch (error) { + console.error('Error unloading model on right:', error); + } + }; + + // =============== Cleanup (Left / Right) =============== + const handleCleanupLeft = () => { + setMessagesLeft([]); + setAlertMessageLeft(undefined); + }; + + const handleCleanupRight = () => { + setMessagesRight([]); + setAlertMessageRight(undefined); + }; + + const handleSend = async (side: 'left' | 'right', message: string) => { + const trimmedMessage = message.trim(); + + // Prevent sending empty messages + if (!trimmedMessage) { + console.warn(`Attempted to send an empty message on the ${side} side.`); + return; + } + + // Determine the selected model based on the side + const selectedModel = side === 'left' ? selectedModelLeft : selectedModelRight; + + // Alert the user if no model is selected + if (!selectedModel) { + if (side === 'left') { + setAlertMessageLeft({ + title: 'No Model Selected', + message: 'Please select a model before sending a prompt.', + variant: 'danger' + }); + } else { + setAlertMessageRight({ + title: 'No Model Selected', + message: 'Please select a model before sending a prompt.', + variant: 'danger' + }); + } + return; + } + + // Add the user's message to the chat + const userMsgId = `${Date.now()}_user_${side}`; + const userMessage: MessageProps = { + id: userMsgId, + role: 'user', + content: trimmedMessage, + name: 'User', + avatar: userLogo.src, + timestamp: new Date().toLocaleTimeString() + }; + + if (side === 'left') { + setMessagesLeft((msgs) => [...msgs, userMessage]); + setQuestionLeft(''); + } else { + setMessagesRight((msgs) => [...msgs, userMessage]); + setQuestionRight(''); + } + + // Add a loading message from the bot + const botMsgId = `${Date.now()}_bot_${side}`; + const botMessage: MessageProps = { + id: botMsgId, + role: 'bot', + content: '', + name: 'Bot', + avatar: logo.src, + timestamp: new Date().toLocaleTimeString(), + isLoading: true + }; + + if (side === 'left') { + setMessagesLeft((msgs) => [...msgs, botMessage]); + } else { + setMessagesRight((msgs) => [...msgs, botMessage]); + } + + // Prepare the payload for the backend + const messagesPayload = [ + { role: 'system', content: systemRole }, + { role: 'user', content: trimmedMessage } + ]; + + const chatModelName = mapModelName(selectedModel.modelName); + + const requestData = { + model: chatModelName, + messages: messagesPayload, + stream: true + }; + + console.log('Sending message to chat endpoint:', selectedModel.apiURL); + + try { + // Send the message to the backend + const response = await fetch(`${selectedModel.apiURL}/v1/chat/completions`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Accept: 'text/event-stream' + }, + body: JSON.stringify(requestData) + }); + + if (!response.ok) { + const errorText = await response.text(); + console.error(`Fetch error for ${side} side: ${response.status} - ${errorText}`); + + // Update the bot message with the error + const errorMessage: MessageProps = { + id: botMsgId, + role: 'bot', + content: `Error ${response.status}: ${errorText}`, + name: 'Bot', + avatar: logo.src, + timestamp: new Date().toLocaleTimeString(), + isLoading: false + }; + + if (side === 'left') { + setMessagesLeft((msgs) => msgs.map((msg) => (msg.id === botMsgId ? errorMessage : msg))); + } else { + setMessagesRight((msgs) => msgs.map((msg) => (msg.id === botMsgId ? errorMessage : msg))); + } + return; + } + + if (!response.body) { + console.error(`No response body received from ${side} side.`); + return; + } + + const reader = response.body.getReader(); + const decoder = new TextDecoder('utf-8'); + let doneReading = false; + let botContent = ''; + + while (!doneReading) { + const { value, done: isDone } = await reader.read(); + doneReading = isDone; + if (value) { + const chunk = decoder.decode(value, { stream: true }); + const lines = chunk.split('\n').filter((line) => line.trim() !== ''); + for (const line of lines) { + if (line.startsWith('data: ')) { + const data = line.replace('data: ', ''); + if (data === '[DONE]') { + doneReading = true; + break; + } + try { + const parsed = JSON.parse(data); + const delta = parsed.choices[0].delta?.content; + if (delta) { + botContent += delta; + if (side === 'left') { + setMessagesLeft((msgs) => msgs.map((msg) => (msg.id === botMsgId ? { ...msg, content: botContent } : msg))); + } else { + setMessagesRight((msgs) => msgs.map((msg) => (msg.id === botMsgId ? { ...msg, content: botContent } : msg))); + } + } + } catch (e) { + console.error('Error parsing JSON:', e); + } + } + } + } + } + + // Finalize the bot message by removing the loading state + if (side === 'left') { + setMessagesLeft((msgs) => msgs.map((msg) => (msg.id === botMsgId ? { ...msg, isLoading: false } : msg))); + } else { + setMessagesRight((msgs) => msgs.map((msg) => (msg.id === botMsgId ? { ...msg, isLoading: false } : msg))); + } + } catch (error) { + console.error(`Error fetching chat response on the ${side} side:`, error); + + // Update the bot message with a generic error + const errorMessage: MessageProps = { + id: botMsgId, + role: 'bot', + content: 'Error fetching chat response.', + name: 'Bot', + avatar: logo.src, + timestamp: new Date().toLocaleTimeString(), + isLoading: false + }; + + if (side === 'left') { + setMessagesLeft((msgs) => msgs.map((msg) => (msg.id === botMsgId ? errorMessage : msg))); + } else { + setMessagesRight((msgs) => msgs.map((msg) => (msg.id === botMsgId ? errorMessage : msg))); + } + } + }; + + const handleSendLeft = (message: string) => { + handleSend('left', message); + }; + + const handleSendRight = (message: string) => { + handleSend('right', message); + }; + + // Add a copy action to bot messages when they are fully loaded + const transformedMessagesLeft = messagesLeft.map((m) => { + if (m.role === 'bot' && m.content && !m.isLoading) { + return { + ...m, + actions: { + copy: { onClick: () => navigator.clipboard.writeText(m.content || '') } + } + }; + } + return m; + }); + + const transformedMessagesRight = messagesRight.map((m) => { + if (m.role === 'bot' && m.content && !m.isLoading) { + return { + ...m, + actions: { + copy: { onClick: () => navigator.clipboard.writeText(m.content || '') } + } + }; + } + return m; + }); + + const handleToggleLogsLeft = async (jobId: string, isExpanding: boolean) => { + setExpandedJobsLeft((prev) => ({ ...prev, [jobId]: isExpanding })); + if (isExpanding && !jobLogsLeft[jobId]) { + try { + const response = await fetch(`/api/fine-tune/jobs/${jobId}/logs`, { + method: 'GET' + }); + if (response.ok) { + const logsText = await response.text(); + setJobLogsLeft((prev) => ({ ...prev, [jobId]: logsText })); + } else { + setJobLogsLeft((prev) => ({ ...prev, [jobId]: 'Failed to fetch logs.' })); + } + } catch (error) { + console.error('Error fetching job logs:', error); + setJobLogsLeft((prev) => ({ ...prev, [jobId]: 'Error fetching logs.' })); + } + } + }; + + const handleToggleLogsRight = async (jobId: string, isExpanding: boolean) => { + setExpandedJobsRight((prev) => ({ ...prev, [jobId]: isExpanding })); + if (isExpanding && !jobLogsRight[jobId]) { + try { + const response = await fetch(`/api/fine-tune/jobs/${jobId}/logs`, { + method: 'GET' + }); + if (response.ok) { + const logsText = await response.text(); + setJobLogsRight((prev) => ({ ...prev, [jobId]: logsText })); + } else { + setJobLogsRight((prev) => ({ ...prev, [jobId]: 'Failed to fetch logs.' })); + } + } catch (error) { + console.error('Error fetching job logs:', error); + setJobLogsRight((prev) => ({ ...prev, [jobId]: 'Error fetching logs.' })); + } + } + }; + + const handleUnifiedSend = (message: string) => { + const trimmedMessage = message.trim(); + if (!trimmedMessage) return; + + setQuestionUnified(''); + // Send to both models if both are selected + let shouldSendLeft = true; + let shouldSendRight = true; + + if (!selectedModelLeft) { + setAlertMessageLeft({ + title: 'No Model Selected', + message: 'Please select a model for the left panel.', + variant: 'danger' + }); + shouldSendLeft = false; + } + + if (!selectedModelRight) { + setAlertMessageRight({ + title: 'No Model Selected', + message: 'Please select a model for the right panel.', + variant: 'danger' + }); + shouldSendRight = false; + } + + if (shouldSendLeft) { + handleSend('left', trimmedMessage); + } + if (shouldSendRight) { + handleSend('right', trimmedMessage); + } + }; + + return ( +
+ + + Dashboard + Model Chat Evaluation + + + + + Evaluate Two Models Side-by-Side + + +
+ Select a model in each panel to compare responses. You can toggle between using a single input box that sends to both models or using two + separate input boxes. +
+
+ Free GPUs:{' '} + + {freeGpus} / {totalGpus} + + + + + {/* Toggle Switch */} + + setIsUnifiedInput(!isUnifiedInput)} /> + + +
+ {/* Left Chat */} +
+ + + {''} + + + {freeGpus < 1 && !selectedModelLeft && No GPUs free} + {showModelLoadingLeft && } + + + Granite fine tune checkpoint + Granite base model + {allModels.map((m) => ( + + {m.name} + + ))} + + + + {/* Unload button (pre-train) */} + + + {/* Clear chat button */} + + + + + + + {alertMessageLeft && ( + setAlertMessageLeft(undefined)} title={alertMessageLeft.title}> + {alertMessageLeft.message} + + )} + {transformedMessagesLeft.map((msg) => ( + + ))} + + + {!isUnifiedInput && ( + + { + console.debug(`onSendMessage triggered for left side with message: "${message}"`); + handleSendLeft(message); + }} + hasAttachButton={false} + onChange={(event: React.ChangeEvent, val: string) => { + console.debug(`Left MessageBar onChange: "${val}"`); + setQuestionLeft(val); + }} + // value={questionLeft} + // placeholder="Type your prompt for the left model..." + // Disable send button if message is empty or no model is selected + isSendButtonDisabled={!questionLeft.trim() || !selectedModelLeft} + /> + {} } + }} + /> + + )} + + {modelJobIdLeft && ( +
+ handleToggleLogsLeft(modelJobIdLeft, expanded)} + isExpanded={expandedJobsLeft[modelJobIdLeft]} + > + {jobLogsLeft[modelJobIdLeft] ? ( + + {jobLogsLeft[modelJobIdLeft]} + + ) : ( + + )} + +
+ )} +
+ + {/* Right Chat */} +
+ + + {''} + + + {freeGpus < 1 && !selectedModelRight && No GPUs free} + {showModelLoadingRight && } + + + Granite fine tune checkpoint + Granite base model + {allModels.map((m) => ( + + {m.name} + + ))} + + + + {/* Unload button (post-train) */} + + + {/* Clear chat button */} + + + + + + + {alertMessageRight && ( + setAlertMessageRight(undefined)} title={alertMessageRight.title}> + {alertMessageRight.message} + + )} + {transformedMessagesRight.map((msg) => ( + + ))} + + + {!isUnifiedInput && ( + + { + console.debug(`onSendMessage triggered for right side with message: "${message}"`); + handleSendRight(message); + }} + hasAttachButton={false} + onChange={(event: React.ChangeEvent, val: string) => { + console.debug(`Right MessageBar onChange: "${val}"`); + setQuestionRight(val); + }} + // value={questionRight} + // placeholder="Type your prompt for the right model..." + // Disable send button if message is empty or no model is selected + isSendButtonDisabled={!questionRight.trim() || !selectedModelRight} + /> + {} } + }} + /> + + )} + + {modelJobIdRight && ( +
+ handleToggleLogsRight(modelJobIdRight, expanded)} + isExpanded={expandedJobsRight[modelJobIdRight]} + > + {jobLogsRight[modelJobIdRight] ? ( + + {jobLogsRight[modelJobIdRight]} + + ) : ( + + )} + +
+ )} +
+
+ + {/* Unified MessageBar for both models */} + {isUnifiedInput && ( + + + { + console.debug(`onSendMessage triggered for unified input with message: "${message}"`); + handleUnifiedSend(message); + }} + hasAttachButton={false} + onChange={(event: React.ChangeEvent, val: string) => { + console.debug(`Unified MessageBar onChange: "${val}"`); + setQuestionUnified(val); + }} + // value={questionUnified} + // placeholder="Type your prompt here and send to both models..." + // Disable send button if message is empty or no models are selected + isSendButtonDisabled={!questionUnified.trim() || !selectedModelLeft || !selectedModelRight} + /> + {} } + }} + /> + + + )} +
+ ); +}; + +export default ChatModelEval; diff --git a/src/components/Experimental/FineTuning/index.tsx b/src/components/Experimental/FineTuning/index.tsx new file mode 100644 index 00000000..bb4271ed --- /dev/null +++ b/src/components/Experimental/FineTuning/index.tsx @@ -0,0 +1,584 @@ +// src/components/Experimental/FineTuning/index.tsx +'use client'; + +import React, { useState, useEffect, useRef } from 'react'; +import { PageBreadcrumb } from '@patternfly/react-core/dist/dynamic/components/Page'; +import { PageSection } from '@patternfly/react-core/dist/dynamic/components/Page'; +import { Title } from '@patternfly/react-core/dist/dynamic/components/Title'; +import { Breadcrumb, BreadcrumbItem } from '@patternfly/react-core/dist/dynamic/components/Breadcrumb'; +import { Spinner } from '@patternfly/react-core/dist/dynamic/components/Spinner'; +import { Alert } from '@patternfly/react-core/dist/dynamic/components/Alert'; +import { ToggleGroupItem, ToggleGroup } from '@patternfly/react-core'; +import { Button } from '@patternfly/react-core/dist/esm/components/Button'; +import { EmptyState, EmptyStateBody } from '@patternfly/react-core/dist/dynamic/components/EmptyState'; +import { + Modal, + Form, + FormGroup, + Dropdown, + DropdownItem, + DropdownList, + MenuToggle, + MenuToggleElement, + Card, + CardTitle, + CardBody, + CardFooter, + NumberInput +} from '@patternfly/react-core'; +import { format } from 'date-fns'; + +import { ExpandableSection, CodeBlock, CodeBlockCode } from '@patternfly/react-core'; +import ExclamationCircleIcon from '@patternfly/react-icons/dist/dynamic/icons/exclamation-circle-icon'; +import { CheckCircleIcon } from '@patternfly/react-icons'; + +interface Model { + name: string; + last_modified: string; + size: string; +} + +interface Branch { + name: string; + creationDate: number; +} + +interface Job { + job_id: string; + status: string; + type?: 'generate' | 'train' | 'pipeline' | 'model-serve' | 'vllm-run'; + branch?: string; + start_time: string; // ISO timestamp + end_time?: string; +} + +const FineTuning: React.FC = () => { + const [models, setModels] = useState([]); + const [branches, setBranches] = useState([]); + const [isLoading, setIsLoading] = useState(true); + const [errorMessage, setErrorMessage] = useState(''); + + const [selectedModel, setSelectedModel] = useState(''); + const [selectedBranch, setSelectedBranch] = useState(''); + const [selectedEpochs, setSelectedEpochs] = useState(''); + + const [isModalOpen, setIsModalOpen] = useState(false); + const [isModelDropdownOpen, setIsModelDropdownOpen] = useState(false); + const [isBranchDropdownOpen, setIsBranchDropdownOpen] = useState(false); + + const [jobs, setJobs] = useState([]); + const [selectedStatus, setSelectedStatus] = useState('all'); // 'successful', 'pending', 'failed', 'all' + + // State for managing expanded jobs and their logs + const [expandedJobs, setExpandedJobs] = useState<{ [jobId: string]: boolean }>({}); + const [jobLogs, setJobLogs] = useState<{ [jobId: string]: string }>({}); + + // Ref to store intervals for each job's logs + const logsIntervals = useRef<{ [jobId: string]: NodeJS.Timeout }>({}); + + const mapJobType = (job: Job) => { + let jobType: 'generate' | 'train' | 'pipeline' | 'model-serve' | 'vllm-run'; + + if (job.job_id.startsWith('g-')) { + jobType = 'generate'; + } else if (job.job_id.startsWith('p-')) { + jobType = 'pipeline'; + } else if (job.job_id.startsWith('ml-')) { + jobType = 'model-serve'; + } else if (job.job_id.startsWith('v-')) { + jobType = 'vllm-run'; // New categorization for 'v-' jobs + } else { + jobType = 'train'; + } + + return { ...job, type: jobType }; + }; + + // Fetch models, branches, and jobs when the component mounts + useEffect(() => { + const fetchData = async () => { + try { + // Fetch models + const modelsResponse = await fetch('/api/fine-tune/models', { cache: 'no-cache' }); + if (!modelsResponse.ok) { + throw new Error('Failed to fetch models'); + } + const modelsData = await modelsResponse.json(); + + // Fetch branches + const branchesResponse = await fetch('/api/fine-tune/git/branches', { cache: 'no-cache' }); + if (!branchesResponse.ok) { + throw new Error('Failed to fetch git branches'); + } + const branchesData = await branchesResponse.json(); + + // Fetch jobs + const jobsResponse = await fetch('/api/fine-tune/jobs', { cache: 'no-cache' }); + if (!jobsResponse.ok) { + throw new Error('Failed to fetch jobs'); + } + const jobsData = await jobsResponse.json(); + + const safeJobsData = Array.isArray(jobsData) ? jobsData : []; + const updatedJobs = safeJobsData + .map((job: Job) => mapJobType(job)) + .sort((a, b) => new Date(b.start_time).getTime() - new Date(a.start_time).getTime()); + + setModels(modelsData); + setBranches(branchesData.branches); + setJobs(updatedJobs); + } catch (error) { + console.error('Error fetching data:', error); + setErrorMessage('Error fetching data'); + } finally { + setIsLoading(false); + } + }; + + fetchData(); + + // Polling to update jobs periodically + const interval = setInterval(async () => { + console.debug('Polling: Fetching jobs from /api/fine-tune/jobs'); + + try { + const response = await fetch('/api/fine-tune/jobs', { cache: 'no-cache' }); + console.debug(`Polling fetch response status: ${response.status}`); + if (!response.ok) { + const errorText = await response.text(); + throw new Error(`Failed to fetch jobs during polling: ${response.status} ${errorText}`); + } + + const data = await response.json(); + console.debug('Polling: Jobs data fetched successfully:', data); + + const safeJobsData = Array.isArray(data) ? data : []; + const updatedJobs = safeJobsData + .map((job: Job) => mapJobType(job)) + .sort((a, b) => new Date(b.start_time).getTime() - new Date(a.start_time).getTime()); + + setJobs(updatedJobs); + } catch (error) { + console.error('Error fetching jobs during polling:', error); + } + }, 10000); // Poll every 10 seconds + + return () => clearInterval(interval); + }, []); + + // Clean up all intervals on component unmount + useEffect(() => { + return () => { + Object.values(logsIntervals.current).forEach(clearInterval); + }; + }, []); + + const formatDate = (isoDate?: string) => { + if (!isoDate) return 'N/A'; + const date = new Date(isoDate); + return format(date, 'PPpp'); + }; + + // eslint-disable-next-line @typescript-eslint/no-explicit-any + const handleToggleChange = (event: React.MouseEvent | React.KeyboardEvent | MouseEvent, _selected: boolean) => { + const id = (event.currentTarget as HTMLButtonElement).id; + setSelectedStatus(id); + }; + + const filteredJobs = jobs.filter((job) => { + if (job.job_id.startsWith('ml-') || job.job_id.startsWith('v-')) { + return false; // Exclude model serve and vllm prefixed jobs from the dashboard list + } + if (selectedStatus === 'successful') return job.status === 'finished'; + if (selectedStatus === 'pending') return job.status === 'running'; + if (selectedStatus === 'failed') return job.status === 'failed'; + return true; // 'all' + }); + + const handleCreateButtonClick = () => { + setIsModalOpen(true); + }; + + const handleModalClose = () => { + setIsModalOpen(false); + setErrorMessage(''); + setSelectedBranch(''); + setSelectedModel(''); + setSelectedEpochs(10); + }; + + const handleGenerateClick = async () => { + if (!selectedModel || !selectedBranch) { + setErrorMessage('Please select both a model and a branch.'); + return; + } + if (selectedEpochs === '') { + setErrorMessage('Please enter the number of epochs.'); + return; + } + setIsModalOpen(false); + try { + const response = await fetch('/api/fine-tune/data/generate', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ modelName: selectedModel, branchName: selectedBranch, epochs: selectedEpochs }), // Include epochs + cache: 'no-cache' + }); + const result = await response.json(); + if (response.ok) { + const newJob: Job = { + job_id: result.job_id, + status: 'running', + type: result.job_id.startsWith('g-') ? 'generate' : result.job_id.startsWith('p-') ? 'pipeline' : 'train', + start_time: new Date().toISOString() + }; + setJobs((prevJobs) => [...prevJobs, newJob]); + } else { + setErrorMessage(result.error || 'Failed to start generate job'); + } + } catch (error) { + console.error('Error starting generate job:', error); + setErrorMessage('Error starting generate job'); + } + }; + + const handleTrainClick = async () => { + if (!selectedModel || !selectedBranch) { + setErrorMessage('Please select both a model and a branch.'); + return; + } + if (selectedEpochs === '') { + setErrorMessage('Please enter the number of epochs.'); + return; + } + setIsModalOpen(false); + try { + console.log('Sending train request with:', { + modelName: selectedModel, + branchName: selectedBranch, + epochs: selectedEpochs + }); + + const response = await fetch('/api/fine-tune/model/train', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ + modelName: selectedModel, + branchName: selectedBranch, + epochs: selectedEpochs + }), + cache: 'no-cache' + }); + const result = await response.json(); + if (response.ok) { + const newJob: Job = { + job_id: result.job_id, + status: 'running', + type: result.job_id.startsWith('g-') ? 'generate' : result.job_id.startsWith('p-') ? 'pipeline' : 'train', + start_time: new Date().toISOString() + }; + setJobs((prevJobs) => [...prevJobs, newJob]); + } else { + setErrorMessage(result.error || 'Failed to start train job'); + } + } catch (error) { + console.error('Error starting train job:', error); + setErrorMessage('Error starting train job'); + } + }; + + const handlePipelineClick = async () => { + if (!selectedModel || !selectedBranch) { + setErrorMessage('Please select both a model and a branch.'); + return; + } + if (selectedEpochs === '') { + setErrorMessage('Please enter the number of epochs.'); + return; + } + setIsModalOpen(false); + try { + console.debug('Sending pipeline generate-train request with:', { + modelName: selectedModel, + branchName: selectedBranch, + epochs: selectedEpochs + }); + const response = await fetch('/api/fine-tune/pipeline/generate-train', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ modelName: selectedModel, branchName: selectedBranch, epochs: selectedEpochs }), // Include epochs + cache: 'no-cache' + }); + const result = await response.json(); + if (response.ok && result.pipeline_job_id) { + // Add the new job to the job list + const newJob: Job = { + job_id: result.pipeline_job_id, + status: 'running', + type: 'pipeline', + branch: selectedBranch, + start_time: new Date().toISOString() + }; + setJobs((prevJobs) => [...prevJobs, newJob]); + console.debug('New pipeline job added:', newJob); + } else { + setErrorMessage(result.error || 'Failed to start generate-train pipeline'); + console.warn('Pipeline action failed:', result.error); + } + } catch (error) { + console.error('Error starting generate-train pipeline job:', error); + setErrorMessage('Error starting generate-train pipeline job'); + } + }; + + const fetchJobLogs = async (jobId: string) => { + try { + const response = await fetch(`/api/fine-tune/jobs/${jobId}/logs`, { + headers: { + 'Cache-Control': 'no-cache' + }, + cache: 'no-cache' + }); + + if (response.ok) { + const logsText = await response.text(); + setJobLogs((prev) => ({ ...prev, [jobId]: logsText })); + } else { + const errorText = await response.text(); + setJobLogs((prev) => ({ ...prev, [jobId]: `Failed to fetch logs: ${response.status} ${errorText}` })); + console.warn(`Failed to fetch logs for job ${jobId}: ${response.status} ${errorText}`); + } + } catch (error) { + console.error(`Error fetching job logs for job ${jobId}:`, error); + setJobLogs((prev) => ({ ...prev, [jobId]: 'Error fetching logs.' })); + } + }; + + const handleToggleLogs = (jobId: string, isExpanding: boolean) => { + console.debug(`Toggling logs for job ID: ${jobId}. Expanding: ${isExpanding}`); + setExpandedJobs((prev) => ({ ...prev, [jobId]: isExpanding })); + + if (isExpanding) { + // Fetch logs immediately + fetchJobLogs(jobId); + + // Set up interval to fetch logs every 10 seconds + const intervalId = setInterval(() => { + fetchJobLogs(jobId); + }, 10000); + + // Store the interval ID + logsIntervals.current[jobId] = intervalId; + } else { + // Clear the interval if it exists + if (logsIntervals.current[jobId]) { + clearInterval(logsIntervals.current[jobId]); + delete logsIntervals.current[jobId]; + } + } + }; + + if (isLoading) { + return ( + + + + ); + } + + return ( +
+ + + Dashboard + Fine Tuning + + + + + Fine Tuning Jobs + + + + +
+ + + + + + +
+
+ +
+ + + + {filteredJobs.length > 0 ? ( +
+ {filteredJobs.map((job) => { + const isExpanded = expandedJobs[job.job_id] || false; + const logs = jobLogs[job.job_id]; + return ( + + + {/* TODO: fix the status icons to have color, e.g. red/green */} + {job.status === 'finished' ? ( + + ) : job.status === 'failed' ? ( + + ) : null} + {job.type === 'generate' + ? 'Generate Job' + : job.type === 'pipeline' + ? 'Generate & Train Pipeline' + : job.type === 'model-serve' + ? 'Model Serve Job' + : 'Train Job'} + + + {/* If fields are added, the percentages need to be tweaked to keep columns lined up across cards. */} +
+
+ Job ID: {job.job_id} +
+
+ Status: {job.status} +
+
+ Start Time: {formatDate(job.start_time)} +
+
+ End Time: {formatDate(job.end_time)} +
+
+ + + {/* Expandable section for logs */} + handleToggleLogs(job.job_id, expanded)} + isExpanded={isExpanded} + > + {logs ? ( + + {logs} + + ) : ( + + )} + + + + ); + })} +
+ ) : ( + + You have not created any fine-tuning jobs yet. Use the Create+ button to get started. + + )} + + + + {errorMessage && } +
+ + { + setSelectedBranch(value as string); + setIsBranchDropdownOpen(false); + }} + onOpenChange={(isOpen) => setIsBranchDropdownOpen(isOpen)} + toggle={(toggleRef: React.Ref) => ( + setIsBranchDropdownOpen(!isBranchDropdownOpen)} isExpanded={isBranchDropdownOpen}> + {selectedBranch || 'Select a branch'} + + )} + > + + {branches.map((branch) => ( + + {branch.name} + + ))} + + + + + + { + setSelectedModel(value as string); + setIsModelDropdownOpen(false); + }} + onOpenChange={(isOpen) => setIsModelDropdownOpen(isOpen)} + toggle={(toggleRef: React.Ref) => ( + setIsModelDropdownOpen(!isModelDropdownOpen)} isExpanded={isModelDropdownOpen}> + {selectedModel || 'Select a model'} + + )} + > + + {models.map((model) => ( + + {model.name} + + ))} + + + + + {/* New FormGroup for Epoch Selection using NumberInput */} + + { + const newValue = typeof selectedEpochs === 'number' ? selectedEpochs - 1 : 0; + setSelectedEpochs(newValue >= 1 ? newValue : 1); // Ensure minimum of 1 + }} + onChange={(event: React.FormEvent) => { + const value = (event.target as HTMLInputElement).value; + const parsedValue = value === '' ? '' : Number(value); + if (parsedValue === '' || (Number.isInteger(parsedValue) && parsedValue > 0)) { + setSelectedEpochs(parsedValue); + } + }} + onPlus={() => { + const newValue = typeof selectedEpochs === 'number' ? selectedEpochs + 1 : 1; + setSelectedEpochs(newValue); + }} + inputName="epochs" + inputAriaLabel="Number of Epochs" + minusBtnAriaLabel="decrease number of epochs" + plusBtnAriaLabel="increase number of epochs" + min={1} + /> + + +
+ + + +
+ +
+ +
+ ); +}; + +export default FineTuning; diff --git a/src/components/Experimental/ModelServeStatus/ModelServeStatus.tsx b/src/components/Experimental/ModelServeStatus/ModelServeStatus.tsx new file mode 100644 index 00000000..e0f7f321 --- /dev/null +++ b/src/components/Experimental/ModelServeStatus/ModelServeStatus.tsx @@ -0,0 +1,74 @@ +import React, { useState, useEffect } from 'react'; +import { Label, LabelProps } from '@patternfly/react-core'; + +// map vllm-status => color +function getStatusColor(status: string): LabelProps['color'] { + switch (status) { + case 'running': + return 'green'; + case 'loading': + return 'orange'; + case 'stopped': + default: + return 'grey'; + } +} + +interface ModelStatusProps { + modelName: string | null; // e.g. 'granite-base-served', 'granite-latest-served', or custom +} + +const ModelStatusIndicator: React.FC = ({ modelName }) => { + const [status, setStatus] = useState('stopped'); // or 'unknown' + + useEffect(() => { + // If modelName is not "granite-base-served" or "granite-latest-served", we can treat as 'stopped'/no status + if (modelName !== 'granite-base-served' && modelName !== 'granite-latest-served') { + setStatus('stopped'); + return; + } + + // Map to 'pre-train' or 'post-train' + const vllmName = modelName === 'granite-base-served' ? 'pre-train' : 'post-train'; + + const fetchStatus = async () => { + try { + const res = await fetch(`/api/fine-tune/model/vllm-status?modelName=${vllmName}`); + if (!res.ok) { + console.error('Failed to fetch vllm status', res.status, res.statusText); + setStatus('stopped'); + return; + } + const data = await res.json(); + if (data.status) { + setStatus(data.status); + } else { + setStatus('stopped'); + } + } catch (error) { + console.error('Error fetching vllm status:', error); + setStatus('stopped'); + } + }; + + // fetch once + fetchStatus(); + + // Optionally poll every X seconds + const intervalId = setInterval(fetchStatus, 5000); // poll every 5s + return () => clearInterval(intervalId); + }, [modelName]); + + if (status === 'stopped') { + // If not a vllm model or container is not running, show nothing or grey + return null; + } + + return ( + + ); +}; + +export default ModelStatusIndicator; diff --git a/src/styles/chatbot.scss b/src/styles/chatbot.scss new file mode 100644 index 00000000..85f8721c --- /dev/null +++ b/src/styles/chatbot.scss @@ -0,0 +1,276 @@ +.chatbot-ui-page { + //background-color: #f0f0f0; + font-family: 'Inter', sans-serif; + color: #333; + display: flex; + flex-direction: column; + //align-items: flex-start; + + .pf-c-page__main { + padding: 0; + background-color: transparent; + } + + /* Chat Container */ + .pf-chatbot { + //background-color: #ffffff; + //border-radius: 8px; + //box-shadow: 0 2px 10px rgba(0,0,0,0.1); + //max-width: 800px; + //min-width: 400px; + //width: 100%; + //margin: 1rem auto; + //display: flex; + //flex-direction: column; + overflow: hidden; + + &__header { + //background: #ffffff; + border-bottom: 1px solid #ddd; + padding: 1rem; + display: flex; + align-items: center; + justify-content: space-between; + + .pf-chatbot__header-title { + font-size: 1.2rem; + font-weight: 600; + //color: #333; + margin: 0; + } + + .pf-chatbot__header-actions { + display: flex; + gap: 0.5rem; + + button { + background: transparent; + border: none; + box-shadow: none; + cursor: pointer; + + &:hover { + background-color: #f5f5f5; + } + } + } + } + + /* Content Area */ + &__content { + //background: #fafafa; + padding: 1.5rem; + flex: 1; + overflow-y: auto; + display: flex; + flex-direction: column; + gap: 1rem; + min-height: 500px; + } + + /* Messages Container */ + .pf-chatbot__message { + display: flex; + align-items: flex-start; + gap: 0.5rem; + + &--user { + .pf-chatbot__message-contents { + background: #6e73d3; + color: #333; + align-self: flex-end; + } + } + + &--bot { + .pf-chatbot__message-contents { + background: #ffffff; + color: #333; + } + } + + .pf-chatbot__message-contents { + max-width: 90%; + padding: 0.75rem 1rem; + border-radius: 8px; + box-shadow: 0 1px 3px rgba(0,0,0,0.05); + + .pf-chatbot__message-name { + font-weight: bold; + margin-bottom: 0.25rem; + font-size: 0.9rem; + color: #0e0e0e; + } + + .pf-chatbot__message-response { + font-size: 1rem; + line-height: 1.5; + + p, li { + margin: 0.5rem 0; + } + + code { + background: #f5f5f5; + padding: 0.2rem 0.4rem; + border-radius: 4px; + font-family: Consolas, Monaco, 'Courier New', monospace; + } + } + + /* Quick responses styling */ + .pf-chatbot__message-quick-response { + margin-top: 0.5rem; + display: flex; + flex-wrap: wrap; + gap: 0.5rem; + + .pf-c-label { + background: #e8f4fd; + border: 1px solid #b3d7f2; + cursor: pointer; + &:hover { + background: #d9edf9; + } + } + } + + /* Attachments styling */ + .pf-chatbot__message-attachments-container { + margin-top: 0.5rem; + .pf-chatbot__message-attachment { + background: #f5f5f5; + padding: 0.5rem; + border-radius: 4px; + margin-right: 0.5rem; + } + } + } + + /* Avatar styling */ + .pf-c-avatar { + width: 40px; + height: 40px; + border-radius: 50%; + flex-shrink: 0; + } + } + + /* Footer (Message Bar) */ + &__footer { + background: #ffffff; + border-top: 1px solid #ddd; + padding: 1rem; + display: flex; + flex-direction: column; + gap: 0.5rem; + + .pf-chatbot__message-bar { + display: flex; + align-items: center; + background: #ffffff; + border: 1px solid #ddd; + border-radius: 999px; + padding: 0.5rem 1rem; + gap: 0.5rem; + + &:focus-within { + box-shadow: 0 0 0 2px #cce5ff; + } + + .pf-chatbot__message-bar-input { + flex: 1; + position: relative; + display: flex; + align-items: center; + + .pf-chatbot__message-bar-placeholder { + position: absolute; + pointer-events: none; + color: #aaa; + font-style: italic; + } + + .pf-chatbot__message-textarea { + width: 100%; + outline: none; + border: none; + background: transparent; + font-size: 1rem; + color: #333; + min-height: 24px; + } + } + + .pf-chatbot__message-bar-actions { + display: flex; + align-items: center; + gap: 0.5rem; + + button { + background: transparent; + border: none; + cursor: pointer; + padding: 0.25rem; + border-radius: 4px; + + &:hover { + background: #f5f5f5; + } + + svg { + width: 20px; + height: 20px; + fill: #666; + } + } + } + } + + .pf-chatbot__footnote { + text-align: center; + font-size: 0.75rem; + color: #666; + } + } + + /* Scrollbar styling (optional) */ + &__content::-webkit-scrollbar { + width: 6px; + } + + &__content::-webkit-scrollbar-thumb { + background: #ccc; + border-radius: 3px; + } + + &__content::-webkit-scrollbar-track { + background: #f2f2f2; + } + } +} + +.chatbot-ui-page { + .pf-v6-c-page__main { + overflow: hidden; + } + @media screen and (max-width: 900px) { + --pf-v6-c-page__main-container--MaxHeight: 100%; + } + .pf-v6-c-page__main-container { + @media screen and (min-width: 1024px) { + border-top: 0px; + } + @media screen and (max-width: 900px) { + --pf-v6-c-page__main-container--MarginInlineStart: 0; + --pf-v6-c-page__main-container--MarginInlineEnd: 0; + --pf-v6-c-page__main-container--BorderWidth: 0; + --pf-v6-c-page__main-container--BorderColor: initial; + --pf-v6-c-page__main-container--BorderRadius: none; + } + } +} + +.pf-chatbot--embedded .pf-chatbot__messagebox { + width: 100%; +} diff --git a/src/styles/globals.scss b/src/styles/globals.scss index 868d09b4..83a19c55 100644 --- a/src/styles/globals.scss +++ b/src/styles/globals.scss @@ -5,3 +5,13 @@ @import 'tokens-dark.scss'; @import 'tokens-charts.scss'; @import 'tokens-charts-dark.scss'; +@import 'chatbot.scss'; + +.square-button { + border-radius: 6px !important; +} + +/* Custom class to make PatternFly Labels square */ +.square-label.pf-c-label { + border-radius: 0px !important; +}