Generation Page (complete rebuild): - Full production-parity exam generation wizard with 4 IELTS modules - Reading: AI passage gen, 5 exercise types (MCQ, Fill, Write, T/F, Match) - Listening: 4 section types, AI context gen, TTS audio gen (ElevenLabs) - Writing: Task 1/2, AI instruction gen, word limits, marks - Speaking: 3 parts, AI script gen, avatar video gen (7 avatars) - Per-module config: timer, CEFR difficulty, access, approval, rubrics - Exam submission workflow (draft/published) Exam Structures: - New encoach.exam.structure model + CRUD controller - ExamStructuresPage wired to real API AI Module (encoach_ai): - OpenAI service, ElevenLabs TTS, AWS Polly, ELAI avatars - AI settings model with Odoo config parameters - 7 generation endpoints (passage, exercises, instructions, scripts, context) Vector Module (encoach_vector): - pgvector integration for RAG-based content search - Embedding service with sentence-transformers Exam Session Fixes: - Fixed ExamSession.tsx field mapping (question_type→type, exam_title→title) - Fixed submit payload to include attempt_id and answers - Fixed normalizeType to handle null/undefined Tested: 12/12 API tests passed, browser-verified with real OpenAI calls Made-with: Cursor
127 lines
4.7 KiB
TypeScript
127 lines
4.7 KiB
TypeScript
import { useState } from "react";
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import { useMutation } from "@tanstack/react-query";
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import { Dialog, DialogContent, DialogHeader, DialogTitle } from "@/components/ui/dialog";
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import { Button } from "@/components/ui/button";
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import { Sparkles, Loader2 } from "lucide-react";
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import { useToast } from "@/hooks/use-toast";
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import { analyticsService } from "@/services/analytics.service";
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interface Props {
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batchId?: number;
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}
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export default function AiBatchOptimizer({ batchId }: Props) {
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const [open, setOpen] = useState(false);
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const { toast } = useToast();
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const mutation = useMutation({
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mutationFn: (id: number) => analyticsService.getBatchOptimization(id),
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onError: (err: Error) => {
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toast({
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title: "Optimization failed",
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description: err.message || "Could not analyze this batch.",
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variant: "destructive",
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});
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},
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});
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type OptResult = Awaited<ReturnType<typeof analyticsService.getBatchOptimization>>;
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const handleOpen = () => {
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if (batchId == null) {
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toast({
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title: "No batch selected",
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description: "Choose a batch to analyze, or open this from a batch detail page.",
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variant: "destructive",
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});
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return;
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}
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mutation.reset();
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setOpen(true);
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mutation.mutate(batchId);
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};
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const applyMutation = useMutation({
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mutationFn: () => analyticsService.applyBatchOptimization(batchId!, mutation.data?.optimized ?? []),
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onSuccess: (res) => {
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toast({ title: "Suggestion Applied", description: `${res.applied} optimization(s) saved successfully.` });
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setOpen(false);
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},
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onError: (err: Error) => {
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toast({
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variant: "destructive",
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title: "Apply failed",
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description: err.message || "Could not apply batch optimization.",
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});
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},
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});
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const handleApply = () => {
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applyMutation.mutate();
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};
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const onOpenChange = (next: boolean) => {
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setOpen(next);
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if (!next) mutation.reset();
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};
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const optData = mutation.data as OptResult | undefined;
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const hasSuggestions = !!optData?.summary;
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const showResults = !mutation.isPending && !mutation.isError && hasSuggestions;
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const showEmpty = !mutation.isPending && !mutation.isError && mutation.isSuccess && !hasSuggestions;
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return (
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<>
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<Button variant="outline" size="sm" onClick={handleOpen}>
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<Sparkles className="h-3.5 w-3.5 mr-1 text-primary" /> AI Suggest Batch Split
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</Button>
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<Dialog open={open} onOpenChange={onOpenChange}>
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<DialogContent className="max-w-md">
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<DialogHeader>
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<DialogTitle className="flex items-center gap-2">
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<Sparkles className="h-4 w-4 text-primary" /> AI Batch Optimization
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</DialogTitle>
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</DialogHeader>
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{mutation.isPending ? (
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<div className="flex items-center gap-2 text-sm text-muted-foreground py-6 justify-center">
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<Loader2 className="h-5 w-5 animate-spin text-primary" /> Analyzing batch data...
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</div>
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) : mutation.isError ? (
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<p className="text-sm text-muted-foreground py-4 text-center">Something went wrong. Try again.</p>
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) : showResults && optData ? (
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<div className="space-y-4">
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<div className="rounded-lg bg-muted/30 p-4 border border-border/60">
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<p className="text-xs font-semibold text-primary uppercase tracking-wide mb-1">{optData.impact} impact</p>
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<p className="text-sm font-medium">{optData.summary}</p>
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</div>
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{Array.isArray(optData.optimized) && optData.optimized.length > 0 && (
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<div className="space-y-2 max-h-[40vh] overflow-y-auto">
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{optData.optimized.map((item, i) => (
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<div key={i} className="rounded-lg bg-muted/20 p-3 border text-sm">
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{typeof item === "object" && item !== null ? JSON.stringify(item) : String(item)}
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</div>
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))}
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</div>
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)}
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<div className="flex gap-2">
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<Button className="flex-1" onClick={handleApply} disabled={applyMutation.isPending}>
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{applyMutation.isPending ? (
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<><Loader2 className="h-4 w-4 mr-2 animate-spin" /> Applying...</>
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) : (
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"Apply Suggestion"
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)}
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</Button>
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<Button variant="outline" onClick={() => onOpenChange(false)}>
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Dismiss
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</Button>
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</div>
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</div>
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) : showEmpty ? (
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<p className="text-sm text-muted-foreground py-4 text-center">No optimization suggestions for this batch.</p>
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) : null}
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</DialogContent>
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</Dialog>
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</>
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);
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}
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