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Merged
kewonit merged 2 commits into from
Jul 3, 2025
Merged

updates #7

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52e2187
feat: Add batch upload functionality for MHT-CET cutoffs with improve…
kewonit Jul 3, 2025
e27a381
fix: Update percentile range from -1% to -10% in filters and UI compo…
kewonit Jul 3, 2025
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68 changes: 67 additions & 1 deletion app/api/mht-cet/state-cutoffs/route.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,8 @@ export async function POST(request: NextRequest) {
const categories = body.categories || [];
const seatAllocations = body.seatAllocations || [];
const courses = body.courses || [];
const statuses = body.statuses || [];
const homeUniversities = body.homeUniversities || [];
const percentileInput = body.percentileInput || '';
const sortBy = body.sortBy || 'last_rank';
const sortOrder = body.sortOrder || 'desc';
Expand Down Expand Up @@ -40,6 +42,8 @@ export async function POST(request: NextRequest) {
cutoff_score: '92.6268989',
last_rank: '1000',
total_admitted: 60,
status: 'Government',
home_university: 'Mumbai University',
created: new Date().toISOString(),
updated: new Date().toISOString()
};
Expand All @@ -56,6 +60,8 @@ export async function POST(request: NextRequest) {
cutoff_score: '91.6268989',
last_rank: '1500',
total_admitted: 45,
status: 'Government Autonomous',
home_university: 'Savitribai Phule Pune University',
created: new Date().toISOString(),
updated: new Date().toISOString()
};
Expand All @@ -71,6 +77,8 @@ export async function POST(request: NextRequest) {
cutoff_score: String((99.5 - (i * 0.02)).toFixed(7)), // More varied precise decimal values
last_rank: String(1000 + (i * 50)),
total_admitted: 60 + (i % 20),
status: ['Government', 'Government Autonomous', 'Un-Aided', 'University', 'Deemed University Autonomous'][i % 5],
home_university: ['Mumbai University', 'Savitribai Phule Pune University', 'Shivaji University', 'Dr. Babasaheb Ambedkar Marathwada University', 'Rashtrasant Tukadoji Maharaj Nagpur University'][i % 5],
created: new Date().toISOString(),
updated: new Date().toISOString()
};
Expand All @@ -94,6 +102,21 @@ export async function POST(request: NextRequest) {
mockData = mockData.filter((item: any) => seatAllocations.includes(item.seat_allocation_section));
}

// Apply status filter if provided
if (statuses && statuses.length > 0) {
mockData = mockData.filter((item: any) => statuses.includes(item.status));
}

// Apply home university filter if provided
if (homeUniversities && homeUniversities.length > 0) {
mockData = mockData.filter((item: any) => homeUniversities.includes(item.home_university));
}

// Apply courses filter if provided
if (courses && courses.length > 0) {
mockData = mockData.filter((item: any) => courses.includes(item.course_name));
}

// Apply percentile filter if provided
if (percentileInput && !isNaN(parseFloat(percentileInput))) {
const targetPercentile = parseFloat(percentileInput);
Expand Down Expand Up @@ -176,6 +199,16 @@ export async function POST(request: NextRequest) {
filterParts.push(`(${seatFilter})`);
}

if (statuses && Array.isArray(statuses) && statuses.length > 0) {
const statusFilter = statuses.map((status: string) => `status = "${status}"`).join(' || ');
filterParts.push(`(${statusFilter})`);
}

if (homeUniversities && Array.isArray(homeUniversities) && homeUniversities.length > 0) {
const homeUniversityFilter = homeUniversities.map((uni: string) => `home_university = "${uni}"`).join(' || ');
filterParts.push(`(${homeUniversityFilter})`);
}

// Percentile-based filtering (-1 range only) - filtering cutoff_score directly
if (percentileInput && !isNaN(parseFloat(percentileInput))) {
const targetPercentile = parseFloat(percentileInput);
Expand Down Expand Up @@ -209,7 +242,7 @@ export async function POST(request: NextRequest) {
});

try {
const result = await pb.collection('2024_mht_cet_round_one_cutoffs').getList(
const result = await pb.collection('2024_mht_cet_round_one_cutoffs_duplicate').getList(
page,
perPage,
{
Expand Down Expand Up @@ -258,6 +291,8 @@ export async function POST(request: NextRequest) {
cutoff_score: '97.989925',
last_rank: '500',
total_admitted: 60,
status: 'Government',
home_university: 'Mumbai University',
created: new Date().toISOString(),
updated: new Date().toISOString()
};
Expand All @@ -274,6 +309,8 @@ export async function POST(request: NextRequest) {
cutoff_score: '92.6268989',
last_rank: '1000',
total_admitted: 60,
status: 'Government Autonomous',
home_university: 'Savitribai Phule Pune University',
created: new Date().toISOString(),
updated: new Date().toISOString()
};
Expand All @@ -290,6 +327,8 @@ export async function POST(request: NextRequest) {
cutoff_score: '91.6268989',
last_rank: '1500',
total_admitted: 45,
status: 'Un-Aided',
home_university: 'Shivaji University',
created: new Date().toISOString(),
updated: new Date().toISOString()
};
Expand All @@ -305,6 +344,8 @@ export async function POST(request: NextRequest) {
cutoff_score: String((99.5 - (i * 0.01)).toFixed(7)), // More realistic percentile values
last_rank: String(1000 + (i * 50)),
total_admitted: 60 + (i % 20),
status: ['Government', 'Government Autonomous', 'Un-Aided', 'University', 'Deemed University Autonomous'][i % 5],
home_university: ['Mumbai University', 'Savitribai Phule Pune University', 'Shivaji University', 'Dr. Babasaheb Ambedkar Marathwada University', 'Rashtrasant Tukadoji Maharaj Nagpur University'][i % 5],
created: new Date().toISOString(),
updated: new Date().toISOString()
};
Expand All @@ -318,6 +359,31 @@ export async function POST(request: NextRequest) {
);
}

// Apply category filter to mock data if provided
if (categories && categories.length > 0) {
mockData = mockData.filter((item: any) => categories.includes(item.category));
}

// Apply seat allocation filter to mock data if provided
if (seatAllocations && seatAllocations.length > 0) {
mockData = mockData.filter((item: any) => seatAllocations.includes(item.seat_allocation_section));
}

// Apply status filter to mock data if provided
if (statuses && statuses.length > 0) {
mockData = mockData.filter((item: any) => statuses.includes(item.status));
}

// Apply home university filter to mock data if provided
if (homeUniversities && homeUniversities.length > 0) {
mockData = mockData.filter((item: any) => homeUniversities.includes(item.home_university));
}

// Apply courses filter to mock data if provided
if (courses && courses.length > 0) {
mockData = mockData.filter((item: any) => courses.includes(item.course_name));
}

// Apply percentile filter to mock data if provided
if (percentileInput && !isNaN(parseFloat(percentileInput))) {
const targetPercentile = parseFloat(percentileInput);
Expand Down
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