Add bio field and enhance smart assignment with bio matching
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Build and Push Docker Image / build (push) Successful in 9m13s
Details
- Add bio field to User model for judge/mentor profile descriptions - Add bio step to onboarding wizard (optional step with 500 char limit) - Enhance smart assignment to match judge bio against project description - Uses keyword extraction and Jaccard-like similarity scoring - Only applies if judge has a bio (no penalty for empty bio) - Max 15 points for bio match on top of existing scoring - Fix geographic distribution query to use round relation for programId - Update score breakdown: tags (40), bio (15), workload (25), country (15) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
parent
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@ -199,7 +199,8 @@ model User {
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country String? // User's home country (for mentor matching)
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metadataJson Json? @db.JsonB
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// Profile image
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// Profile
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bio String? // User bio for matching with project descriptions
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profileImageKey String? // Storage key (e.g., "avatars/user123/1234567890.jpg")
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profileImageProvider String? // Storage provider used: 's3' or 'local'
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@ -25,6 +25,7 @@ import {
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import { toast } from 'sonner'
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import { ExpertiseSelect } from '@/components/shared/expertise-select'
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import { AvatarUpload } from '@/components/shared/avatar-upload'
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import { Textarea } from '@/components/ui/textarea'
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import {
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User,
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Phone,
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@ -36,9 +37,10 @@ import {
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ArrowLeft,
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Camera,
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Globe,
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FileText,
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} from 'lucide-react'
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type Step = 'name' | 'photo' | 'country' | 'phone' | 'tags' | 'preferences' | 'complete'
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type Step = 'name' | 'photo' | 'country' | 'bio' | 'phone' | 'tags' | 'preferences' | 'complete'
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export default function OnboardingPage() {
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const router = useRouter()
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@ -48,6 +50,7 @@ export default function OnboardingPage() {
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// Form state
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const [name, setName] = useState('')
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const [country, setCountry] = useState('')
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const [bio, setBio] = useState('')
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const [phoneNumber, setPhoneNumber] = useState('')
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const [expertiseTags, setExpertiseTags] = useState<string[]>([])
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const [lockedTags, setLockedTags] = useState<string[]>([])
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@ -70,6 +73,10 @@ export default function OnboardingPage() {
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if (userData.country) {
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setCountry(userData.country)
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}
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// Pre-fill bio if available
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if (userData.bio) {
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setBio(userData.bio)
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}
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// Pre-fill phone if available
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if (userData.phoneNumber) {
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setPhoneNumber(userData.phoneNumber)
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@ -96,10 +103,10 @@ export default function OnboardingPage() {
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// Dynamic steps based on WhatsApp availability
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const steps: Step[] = useMemo(() => {
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if (whatsappEnabled) {
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return ['name', 'photo', 'country', 'phone', 'tags', 'preferences', 'complete']
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return ['name', 'photo', 'country', 'bio', 'phone', 'tags', 'preferences', 'complete']
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}
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// Skip phone step if WhatsApp is disabled
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return ['name', 'photo', 'country', 'tags', 'preferences', 'complete']
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return ['name', 'photo', 'country', 'bio', 'tags', 'preferences', 'complete']
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}, [whatsappEnabled])
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const currentIndex = steps.indexOf(step)
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@ -128,6 +135,7 @@ export default function OnboardingPage() {
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await completeOnboarding.mutateAsync({
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name,
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country: country || undefined,
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bio: bio || undefined,
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phoneNumber: phoneNumber || undefined,
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expertiseTags,
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notificationPreference,
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@ -302,7 +310,49 @@ export default function OnboardingPage() {
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</>
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)}
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{/* Step 4: Phone (only if WhatsApp enabled) */}
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{/* Step 4: Bio */}
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{step === 'bio' && (
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<>
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<CardHeader>
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<CardTitle className="flex items-center gap-2">
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<FileText className="h-5 w-5 text-primary" />
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About You
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</CardTitle>
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<CardDescription>
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Tell us a bit about yourself and your expertise. This helps us match you with relevant projects. (Optional)
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</CardDescription>
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</CardHeader>
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<CardContent className="space-y-4">
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<div className="space-y-2">
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<Label htmlFor="bio">Bio</Label>
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<Textarea
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id="bio"
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value={bio}
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onChange={(e) => setBio(e.target.value)}
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placeholder="e.g., Marine biologist with 10 years experience in coral reef conservation and ocean acidification research..."
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rows={4}
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maxLength={500}
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/>
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<p className="text-xs text-muted-foreground text-right">
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{bio.length}/500 characters
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</p>
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</div>
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<div className="flex gap-2">
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<Button variant="outline" onClick={goBack} className="flex-1">
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<ArrowLeft className="mr-2 h-4 w-4" />
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Back
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</Button>
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<Button onClick={goNext} className="flex-1">
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{bio ? 'Continue' : 'Skip for now'}
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<ArrowRight className="ml-2 h-4 w-4" />
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</Button>
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</div>
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</CardContent>
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</>
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)}
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{/* Step 5: Phone (only if WhatsApp enabled) */}
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{step === 'phone' && whatsappEnabled && (
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<>
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<CardHeader>
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@ -343,7 +393,7 @@ export default function OnboardingPage() {
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</>
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)}
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{/* Step 5: Tags */}
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{/* Step 6: Tags */}
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{step === 'tags' && (
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<>
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<CardHeader>
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@ -377,7 +427,7 @@ export default function OnboardingPage() {
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</>
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)}
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{/* Step 6: Preferences */}
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{/* Step 7: Preferences */}
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{step === 'preferences' && (
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<>
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<CardHeader>
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@ -434,6 +484,12 @@ export default function OnboardingPage() {
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<span className="text-muted-foreground">Country:</span> {country}
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</p>
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)}
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{bio && (
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<p>
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<span className="text-muted-foreground">Bio:</span>{' '}
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{bio.length > 50 ? `${bio.substring(0, 50)}...` : bio}
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</p>
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)}
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{whatsappEnabled && phoneNumber && (
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<p>
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<span className="text-muted-foreground">Phone:</span>{' '}
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@ -349,7 +349,7 @@ export const analyticsRouter = router({
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.query(async ({ ctx, input }) => {
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const where = input.roundId
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? { roundId: input.roundId }
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: { programId: input.programId }
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: { round: { programId: input.programId } }
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const distribution = await ctx.prisma.project.groupBy({
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by: ['country'],
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@ -30,6 +30,7 @@ export const userRouter = router({
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metadataJson: true,
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phoneNumber: true,
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country: true,
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bio: true,
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notificationPreference: true,
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profileImageKey: true,
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createdAt: true,
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@ -789,6 +790,7 @@ export const userRouter = router({
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name: z.string().min(1).max(255),
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phoneNumber: z.string().optional(),
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country: z.string().optional(),
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bio: z.string().max(500).optional(),
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expertiseTags: z.array(z.string()).optional(),
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notificationPreference: z.enum(['EMAIL', 'WHATSAPP', 'BOTH', 'NONE']).optional(),
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})
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@ -811,6 +813,7 @@ export const userRouter = router({
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name: input.name,
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phoneNumber: input.phoneNumber,
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country: input.country,
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bio: input.bio,
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expertiseTags: mergedTags,
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notificationPreference: input.notificationPreference || 'EMAIL',
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onboardingCompletedAt: new Date(),
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@ -3,14 +3,16 @@
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*
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* Calculates scores for jury/mentor-project matching based on:
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* - Tag overlap (expertise match)
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* - Bio/description match (text similarity)
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* - Workload balance
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* - Country match (mentors only)
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*
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* Score Breakdown (100 points max):
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* - Tag overlap: 0-50 points (weighted by confidence)
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* - Tag overlap: 0-40 points (weighted by confidence)
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* - Bio match: 0-15 points (if bio exists)
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* - Workload balance: 0-25 points
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* - Country match: 0-15 points (mentors only)
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* - Reserved: 0-10 points (future AI boost)
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* - Reserved: 0-5 points (future AI boost)
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*/
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import { prisma } from '@/lib/prisma'
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@ -19,6 +21,7 @@ import { prisma } from '@/lib/prisma'
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export interface ScoreBreakdown {
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tagOverlap: number
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bioMatch: number
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workloadBalance: number
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countryMatch: number
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aiBoost: number
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@ -44,13 +47,93 @@ export interface ProjectTagData {
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// ─── Constants ───────────────────────────────────────────────────────────────
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const MAX_TAG_OVERLAP_SCORE = 50
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const MAX_TAG_OVERLAP_SCORE = 40
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const MAX_BIO_MATCH_SCORE = 15
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const MAX_WORKLOAD_SCORE = 25
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const MAX_COUNTRY_SCORE = 15
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const POINTS_PER_TAG_MATCH = 10
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const POINTS_PER_TAG_MATCH = 8
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// Common words to exclude from bio matching
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const STOP_WORDS = new Set([
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'the', 'a', 'an', 'and', 'or', 'but', 'in', 'on', 'at', 'to', 'for', 'of', 'with',
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'by', 'from', 'as', 'is', 'was', 'are', 'were', 'been', 'be', 'have', 'has', 'had',
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'do', 'does', 'did', 'will', 'would', 'could', 'should', 'may', 'might', 'must',
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'that', 'which', 'who', 'whom', 'this', 'these', 'those', 'it', 'its', 'i', 'we',
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'you', 'he', 'she', 'they', 'them', 'their', 'our', 'my', 'your', 'his', 'her',
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'am', 'about', 'into', 'through', 'during', 'before', 'after', 'above', 'below',
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'between', 'under', 'again', 'further', 'then', 'once', 'here', 'there', 'when',
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'where', 'why', 'how', 'all', 'each', 'few', 'more', 'most', 'other', 'some',
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'such', 'no', 'not', 'only', 'own', 'same', 'so', 'than', 'too', 'very', 'can',
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'just', 'being', 'over', 'both', 'up', 'down', 'out', 'also', 'new', 'any',
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])
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// ─── Scoring Functions ───────────────────────────────────────────────────────
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/**
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* Extract meaningful keywords from text
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*/
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function extractKeywords(text: string | null | undefined): Set<string> {
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if (!text) return new Set()
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// Tokenize, lowercase, and filter
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const words = text
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.toLowerCase()
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.replace(/[^\w\s]/g, ' ') // Remove punctuation
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.split(/\s+/)
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.filter((word) => word.length >= 3 && !STOP_WORDS.has(word))
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return new Set(words)
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}
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/**
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* Calculate bio match score between user bio and project description
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* Only applies if user has a bio
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*/
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export function calculateBioMatchScore(
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userBio: string | null | undefined,
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projectDescription: string | null | undefined
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): { score: number; matchingKeywords: string[] } {
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// If no bio, return 0 (not penalized, just no bonus)
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if (!userBio || userBio.trim().length === 0) {
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return { score: 0, matchingKeywords: [] }
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}
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// If no project description, can't match
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if (!projectDescription || projectDescription.trim().length === 0) {
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return { score: 0, matchingKeywords: [] }
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}
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const bioKeywords = extractKeywords(userBio)
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const projectKeywords = extractKeywords(projectDescription)
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if (bioKeywords.size === 0 || projectKeywords.size === 0) {
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return { score: 0, matchingKeywords: [] }
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}
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// Find matching keywords
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const matchingKeywords: string[] = []
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for (const keyword of bioKeywords) {
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if (projectKeywords.has(keyword)) {
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matchingKeywords.push(keyword)
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}
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}
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if (matchingKeywords.length === 0) {
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return { score: 0, matchingKeywords: [] }
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}
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// Calculate score based on match ratio
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// Use Jaccard-like similarity: matches / (bio keywords + project keywords - matches)
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const unionSize = bioKeywords.size + projectKeywords.size - matchingKeywords.length
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const similarity = matchingKeywords.length / unionSize
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// Scale to max score (15 points)
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// A good match (20%+ overlap) should get near max
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const score = Math.min(MAX_BIO_MATCH_SCORE, Math.round(similarity * 100))
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return { score, matchingKeywords }
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}
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/**
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* Calculate tag overlap score between user expertise and project tags
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*/
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@ -141,13 +224,19 @@ export async function getSmartSuggestions(options: {
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}): Promise<AssignmentScore[]> {
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const { roundId, type, limit = 50, aiMaxPerJudge = 20 } = options
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// Get projects in round with their tags
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// Get projects in round with their tags and description
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const projects = await prisma.project.findMany({
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where: {
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roundId,
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status: { not: 'REJECTED' },
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},
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include: {
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select: {
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id: true,
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title: true,
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teamName: true,
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description: true,
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country: true,
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status: true,
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projectTags: {
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include: { tag: true },
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},
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@ -158,14 +247,21 @@ export async function getSmartSuggestions(options: {
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return []
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}
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// Get users of the appropriate role
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// Get users of the appropriate role with bio for matching
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const role = type === 'jury' ? 'JURY_MEMBER' : 'MENTOR'
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const users = await prisma.user.findMany({
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where: {
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role,
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status: 'ACTIVE',
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},
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include: {
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select: {
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id: true,
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name: true,
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email: true,
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bio: true,
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expertiseTags: true,
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maxAssignments: true,
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country: true,
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_count: {
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select: {
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assignments: {
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@ -222,6 +318,12 @@ export async function getSmartSuggestions(options: {
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projectTags
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)
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// Bio match (only if user has a bio)
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const { score: bioScore, matchingKeywords } = calculateBioMatchScore(
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user.bio,
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project.description
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)
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const workloadScore = calculateWorkloadScore(
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currentCount,
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targetPerUser,
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@ -231,19 +333,19 @@ export async function getSmartSuggestions(options: {
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// Country match only for mentors
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const countryScore =
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type === 'mentor'
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? calculateCountryMatchScore(
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(user as any).country, // User might have country field
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project.country
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)
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? calculateCountryMatchScore(user.country, project.country)
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: 0
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const totalScore = tagScore + workloadScore + countryScore
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const totalScore = tagScore + bioScore + workloadScore + countryScore
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// Build reasoning
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const reasoning: string[] = []
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if (matchingTags.length > 0) {
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reasoning.push(`Expertise match: ${matchingTags.length} tag(s)`)
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}
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if (bioScore > 0) {
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reasoning.push(`Bio match: ${matchingKeywords.length} keyword(s)`)
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}
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if (workloadScore === MAX_WORKLOAD_SCORE) {
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reasoning.push('Available capacity')
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} else if (workloadScore > 0) {
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@ -262,6 +364,7 @@ export async function getSmartSuggestions(options: {
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score: totalScore,
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breakdown: {
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tagOverlap: tagScore,
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bioMatch: bioScore,
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workloadBalance: workloadScore,
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countryMatch: countryScore,
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aiBoost: 0,
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@ -297,13 +400,20 @@ export async function getMentorSuggestionsForProject(
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throw new Error(`Project not found: ${projectId}`)
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}
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// Get all active mentors
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// Get all active mentors with bio for matching
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const mentors = await prisma.user.findMany({
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where: {
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role: 'MENTOR',
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status: 'ACTIVE',
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},
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include: {
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select: {
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id: true,
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name: true,
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email: true,
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bio: true,
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expertiseTags: true,
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maxAssignments: true,
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country: true,
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_count: {
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select: { mentorAssignments: true },
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},
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@ -335,6 +445,12 @@ export async function getMentorSuggestionsForProject(
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projectTags
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)
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// Bio match (only if mentor has a bio)
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const { score: bioScore, matchingKeywords } = calculateBioMatchScore(
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mentor.bio,
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project.description
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)
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const workloadScore = calculateWorkloadScore(
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mentor._count.mentorAssignments,
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targetPerMentor,
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@ -342,16 +458,19 @@ export async function getMentorSuggestionsForProject(
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)
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const countryScore = calculateCountryMatchScore(
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(mentor as any).country,
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mentor.country,
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project.country
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)
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const totalScore = tagScore + workloadScore + countryScore
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const totalScore = tagScore + bioScore + workloadScore + countryScore
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const reasoning: string[] = []
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if (matchingTags.length > 0) {
|
||||
reasoning.push(`${matchingTags.length} matching expertise tag(s)`)
|
||||
}
|
||||
if (bioScore > 0) {
|
||||
reasoning.push(`Bio match: ${matchingKeywords.length} keyword(s)`)
|
||||
}
|
||||
if (countryScore > 0) {
|
||||
reasoning.push('Same country of origin')
|
||||
}
|
||||
|
|
@ -368,6 +487,7 @@ export async function getMentorSuggestionsForProject(
|
|||
score: totalScore,
|
||||
breakdown: {
|
||||
tagOverlap: tagScore,
|
||||
bioMatch: bioScore,
|
||||
workloadBalance: workloadScore,
|
||||
countryMatch: countryScore,
|
||||
aiBoost: 0,
|
||||
|
|
|
|||
Loading…
Reference in New Issue