pyr0ball
6115a68550
- useToast.ts: global reactive toast singleton for cross-component toasts - App.vue: sticky demo mode banner + global toast slot - router: bypass wizard gate entirely in demo mode (pre-seeded data) - ApplyWorkspace, CompanyResearchModal: guard generate() in demo mode - fineTune store: guard submitJob() in demo mode - ui_switcher.py: remove Vue→Streamlit fallback in demo mode (now handled natively) All LLM-triggering actions show a toast and no-op in demo mode. Backend already blocks inference via DEMO_MODE env; Vue layer adds UX signal. Closes #46
89 lines
2.6 KiB
TypeScript
89 lines
2.6 KiB
TypeScript
import { ref } from 'vue'
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import { defineStore } from 'pinia'
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import { useApiFetch } from '../../composables/useApi'
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import { useAppConfigStore } from '../appConfig'
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import { showToast } from '../../composables/useToast'
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export interface TrainingPair {
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index: number
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instruction: string
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source_file: string
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}
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export const useFineTuneStore = defineStore('settings/fineTune', () => {
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const step = ref(1)
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const inFlightJob = ref(false)
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const jobStatus = ref<string>('idle')
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const pairsCount = ref(0)
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const quotaRemaining = ref<number | null>(null)
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const uploading = ref(false)
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const loading = ref(false)
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const pairs = ref<TrainingPair[]>([])
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const pairsLoading = ref(false)
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let _pollTimer: ReturnType<typeof setInterval> | null = null
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function resetStep() { step.value = 1 }
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async function loadStatus() {
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const { data } = await useApiFetch<{ status: string; pairs_count: number; quota_remaining?: number }>('/api/settings/fine-tune/status')
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if (!data) return
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jobStatus.value = data.status
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pairsCount.value = data.pairs_count ?? 0
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quotaRemaining.value = data.quota_remaining ?? null
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inFlightJob.value = ['queued', 'running'].includes(data.status)
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}
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function startPolling() {
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loadStatus()
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_pollTimer = setInterval(loadStatus, 2000)
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}
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function stopPolling() {
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if (_pollTimer !== null) { clearInterval(_pollTimer); _pollTimer = null }
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}
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async function submitJob() {
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if (useAppConfigStore().isDemo) { showToast('AI features are disabled in demo mode'); return }
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const { data, error } = await useApiFetch<{ job_id: string }>('/api/settings/fine-tune/submit', { method: 'POST' })
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if (!error && data) { inFlightJob.value = true; jobStatus.value = 'queued' }
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}
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async function loadPairs() {
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pairsLoading.value = true
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const { data } = await useApiFetch<{ pairs: TrainingPair[]; total: number }>('/api/settings/fine-tune/pairs')
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pairsLoading.value = false
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if (data) {
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pairs.value = data.pairs
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pairsCount.value = data.total
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}
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}
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async function deletePair(index: number) {
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const { data } = await useApiFetch<{ ok: boolean; remaining: number }>(
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`/api/settings/fine-tune/pairs/${index}`, { method: 'DELETE' }
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)
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if (data?.ok) {
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pairs.value = pairs.value.filter(p => p.index !== index).map((p, i) => ({ ...p, index: i }))
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pairsCount.value = data.remaining
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}
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}
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return {
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step,
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inFlightJob,
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jobStatus,
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pairsCount,
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quotaRemaining,
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uploading,
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loading,
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pairs,
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pairsLoading,
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resetStep,
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loadStatus,
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startPolling,
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stopPolling,
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submitJob,
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loadPairs,
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deletePair,
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}
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})
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