EnCoach Frontend v1 - Production-ready with full API integration
- 59 pages (52 original + 7 new adaptive learning pages) - 14 AI components wired to real backend endpoints - Real JWT authentication with 7 user roles - 21 API service modules with TanStack Query hooks - 14 TypeScript type definition files - Entity-scoped permission system - Universal adaptive learning engine pages (subjects, diagnostic, proficiency, learning plan, topic) - Admin taxonomy and resource management pages - All mock data removed, all pages connected to Odoo 19 REST API docs/ contains: - ENCOACH_UNIFIED_SRS.md (master product SRS) - ODOO_BACKEND_SRS_v3.md (backend developer handoff) - ENCOACH_PRODUCT_DESCRIPTION.md (stakeholder document) - UTAS_MASTER_PLAN.md (project timeline) - Supporting architecture and analysis documents Made-with: Cursor
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src/components/ai/AiGradingAssistant.tsx
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src/components/ai/AiGradingAssistant.tsx
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import { useEffect } from "react";
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import { useMutation } from "@tanstack/react-query";
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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 { analyticsService } from "@/services/analytics.service";
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import { useToast } from "@/hooks/use-toast";
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interface Props {
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onAccept: (marks: number, feedback: string) => void;
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submissionId?: number;
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submissionText?: string;
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rubricId?: number;
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}
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const DEFAULT_TEXT =
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"Sample submission for AI grading suggestion. Replace by passing submissionText when integrating with real submissions.";
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export default function AiGradingAssistant({
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onAccept,
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submissionId = 1,
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submissionText = DEFAULT_TEXT,
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rubricId,
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}: Props) {
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const { toast } = useToast();
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const gradeMutation = useMutation({
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mutationFn: () =>
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analyticsService.getGradingSuggestion({
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submission_id: submissionId,
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text: submissionText,
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...(rubricId !== undefined ? { rubric_id: rubricId } : {}),
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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: "Could not load AI grade",
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description: err.message || "Try again later.",
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});
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},
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});
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useEffect(() => {
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gradeMutation.mutate();
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// eslint-disable-next-line react-hooks/exhaustive-deps -- refetch when inputs change
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}, [submissionId, submissionText, rubricId]);
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const data = gradeMutation.data;
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const marks = data ? Math.round(data.overall_score) : 0;
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const feedbackBlock = data
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? [
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data.feedback,
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data.suggestions?.length
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? `Suggestions:\n${data.suggestions.map((s) => `• ${s}`).join("\n")}`
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: "",
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]
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.filter(Boolean)
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.join("\n\n")
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: "";
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return (
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<div className="rounded-lg border bg-muted/30 p-4 space-y-3">
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<p className="text-xs font-semibold text-primary flex items-center gap-1">
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<Sparkles className="h-3 w-3" /> AI Suggested Grade
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</p>
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{gradeMutation.isPending ? (
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<div className="flex items-center gap-2 text-sm text-muted-foreground py-2">
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<Loader2 className="h-4 w-4 animate-spin text-primary" /> Analyzing submission...
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</div>
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) : gradeMutation.isError ? (
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<p className="text-sm text-destructive">Could not load a suggestion. Check the console or try again.</p>
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) : data ? (
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<>
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<div>
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<p className="text-sm text-muted-foreground">Suggested marks</p>
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<p className="text-2xl font-bold">{marks}/100</p>
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</div>
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<div>
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<p className="text-sm text-muted-foreground mb-1">Suggested feedback</p>
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<p className="text-sm whitespace-pre-wrap">{feedbackBlock}</p>
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</div>
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{data.scores && Object.keys(data.scores).length > 0 && (
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<div className="space-y-1">
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<p className="text-sm text-muted-foreground">Rubric scores</p>
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<ul className="text-xs text-muted-foreground space-y-0.5">
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{Object.entries(data.scores).map(([k, v]) => (
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<li key={k}>
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{k}: {v}
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</li>
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))}
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</ul>
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</div>
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)}
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<Button size="sm" onClick={() => onAccept(marks, feedbackBlock)}>
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<Sparkles className="h-3.5 w-3.5 mr-1" /> Accept AI Grade
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</Button>
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</>
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) : null}
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</div>
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);
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}
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