File size: 11,939 Bytes
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import { prisma } from "@/lib/prisma"
import { NextRequest, NextResponse } from "next/server"
const UUID_REGEX =
/^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$/i
// ---------------------------------------------
// SAFE ARRAY SEARCH (same as main endpoint)
// ---------------------------------------------
async function getMatchingArrayValues(
column: string,
search: string,
client: PrismaClient
): Promise<string[]> {
const allowedColumns = [
"hardskills",
"softskills",
"certifications",
"business_domain",
]
if (!allowedColumns.includes(column)) {
throw new Error(`Invalid column: ${column}`)
}
const result = await client.$queryRawUnsafe(
`SELECT DISTINCT unnest("${column}") as val
FROM cv_profile
WHERE EXISTS (
SELECT 1 FROM unnest("${column}") AS elem
WHERE elem ILIKE '%' || $1 || '%'
)`,
search
) as { val: string }[]
return result
.map((r) => r.val)
.filter((v) => v.toLowerCase().includes(search.toLowerCase()))
}
// ---------------------------------------------
// Resolve user_id → profile_ids
// ---------------------------------------------
// In getProfileIdsByUserId, return null if no profiles found
// so it doesn't filter to empty set
async function getProfileIdsByUserId(user_id: string): Promise<string[] | null> {
const rows = await prisma.$queryRaw<{ profile_id: string }[]>`
SELECT p.profile_id
FROM cv_profile p
INNER JOIN cv_file f ON f.file_id = p.file_id
WHERE f.user_id = ${user_id}::uuid
`
if (rows.length === 0) return null // <-- treat as "no filter" instead of "match nothing"
return rows.map((r) => r.profile_id)
}
// ---------------------------------------------
// EXPORT ENDPOINT
// ---------------------------------------------
export async function GET(request: NextRequest) {
const { searchParams } = new URL(request.url)
// -------------------------
// VALIDATION
// -------------------------
const criteria_id = searchParams.get("criteria_id")
if (criteria_id && !UUID_REGEX.test(criteria_id)) {
return NextResponse.json(
{ error: "Invalid criteria_id format" },
{ status: 400 }
)
}
const user_id = searchParams.get("user_id")
if (user_id && !UUID_REGEX.test(user_id)) {
return NextResponse.json(
{ error: "Invalid user_id format" },
{ status: 400 }
)
}
// -------------------------
// SEARCH
// -------------------------
const search = searchParams.get("search")
// -------------------------
// FILTERS
// -------------------------
const domicile = searchParams.get("domicile")
const yoe = searchParams.get("yoe")
const softskills = searchParams.getAll("softskills")
const hardskills = searchParams.getAll("hardskills")
const certifications = searchParams.getAll("certifications")
const business_domain = searchParams.getAll("business_domain")
const univ_edu_1 = searchParams.getAll("univ_edu_1")
const univ_edu_2 = searchParams.getAll("univ_edu_2")
const univ_edu_3 = searchParams.getAll("univ_edu_3")
const major_edu_1 = searchParams.getAll("major_edu_1")
const major_edu_2 = searchParams.getAll("major_edu_2")
const major_edu_3 = searchParams.getAll("major_edu_3")
const gpa_1 = searchParams.get("gpa_1")
const gpa_2 = searchParams.get("gpa_2")
const gpa_3 = searchParams.get("gpa_3")
// -------------------------
// SORT
// -------------------------
const sortBy = searchParams.get("sortBy") ?? "created_at"
const sortOrder =
searchParams.get("sortOrder") === "asc" ? "asc" : "desc"
const allowedSortFields = [
"fullname",
"domicile",
"yoe",
"gpa_edu_1",
"gpa_edu_2",
"gpa_edu_3",
"univ_edu_1",
"univ_edu_2",
"univ_edu_3",
"major_edu_1",
"major_edu_2",
"major_edu_3",
"created_at",
"score",
]
const isScoreSort = sortBy === "score" && !!criteria_id
const orderBy =
!isScoreSort && allowedSortFields.includes(sortBy)
? { [sortBy]: sortOrder }
: { created_at: "desc" as const }
try {
// -------------------------
// PARALLEL RESOLUTION
// -------------------------
const [
matchingHardskills,
matchingSoftskills,
matchingCertifications,
matchingBusinessDomain,
userProfileIds,
] = await Promise.all([
search
? getMatchingArrayValues("hardskills", search, prisma)
: Promise.resolve([]),
search
? getMatchingArrayValues("softskills", search, prisma)
: Promise.resolve([]),
search
? getMatchingArrayValues("certifications", search, prisma)
: Promise.resolve([]),
search
? getMatchingArrayValues("business_domain", search, prisma)
: Promise.resolve([]),
user_id
? getProfileIdsByUserId(user_id)
: Promise.resolve(null),
])
// -------------------------
// BUILD WHERE
// -------------------------
const where: any = {
...(userProfileIds !== null && {
profile_id: { in: userProfileIds },
}),
...(search
? {
OR: [
{ fullname: { contains: search, mode: "insensitive" } },
{ domicile: { contains: search, mode: "insensitive" } },
{ univ_edu_1: { contains: search, mode: "insensitive" } },
{ univ_edu_2: { contains: search, mode: "insensitive" } },
{ univ_edu_3: { contains: search, mode: "insensitive" } },
{ major_edu_1: { contains: search, mode: "insensitive" } },
{ major_edu_2: { contains: search, mode: "insensitive" } },
{ major_edu_3: { contains: search, mode: "insensitive" } },
{ filename: { contains: search, mode: "insensitive" } },
...(matchingHardskills.length > 0
? [{ hardskills: { hasSome: matchingHardskills } }]
: []),
...(matchingSoftskills.length > 0
? [{ softskills: { hasSome: matchingSoftskills } }]
: []),
...(matchingCertifications.length > 0
? [{ certifications: { hasSome: matchingCertifications } }]
: []),
...(matchingBusinessDomain.length > 0
? [{ business_domain: { hasSome: matchingBusinessDomain } }]
: []),
...(Number.isNaN(Number.parseFloat(search))
? []
: [
{ gpa_edu_1: { equals: Number.parseFloat(search) } },
{ gpa_edu_2: { equals: Number.parseFloat(search) } },
{ gpa_edu_3: { equals: Number.parseFloat(search) } },
]),
...(Number.isNaN(Number.parseInt(search))
? []
: [{ yoe: { equals: Number.parseInt(search) } }]),
],
}
: {}),
...(domicile && { domicile }),
...(yoe && { yoe: { gte: Number.parseInt(yoe) } }),
...(softskills.length > 0 && {
softskills: { hasSome: softskills },
}),
...(hardskills.length > 0 && {
hardskills: { hasSome: hardskills },
}),
...(certifications.length > 0 && {
certifications: { hasSome: certifications },
}),
...(business_domain.length > 0 && {
business_domain: { hasSome: business_domain },
}),
...(univ_edu_1.length > 0 && { univ_edu_1: { in: univ_edu_1 } }),
...(major_edu_1.length > 0 && { major_edu_1: { in: major_edu_1 } }),
...(gpa_1 && { gpa_edu_1: { gte: Number.parseFloat(gpa_1) } }),
...(univ_edu_2.length > 0 && { univ_edu_2: { in: univ_edu_2 } }),
...(major_edu_2.length > 0 && { major_edu_2: { in: major_edu_2 } }),
...(gpa_2 && { gpa_edu_2: { gte: Number.parseFloat(gpa_2) } }),
...(univ_edu_3.length > 0 && { univ_edu_3: { in: univ_edu_3 } }),
...(major_edu_3.length > 0 && { major_edu_3: { in: major_edu_3 } }),
...(gpa_3 && { gpa_edu_3: { gte: Number.parseFloat(gpa_3) } }),
}
// -------------------------
// SCORE MAP
// -------------------------
const scoreMap = new Map<string, number | null>()
if (criteria_id) {
const weight = await prisma.cv_weight.findFirst({
where: { criteria_id },
select: { weight_id: true },
})
if (weight) {
const matchings = await prisma.cv_matching.findMany({
where: { weight_id: weight.weight_id },
select: { matching_id: true, profile_id: true },
})
if (matchings.length > 0) {
const matchingIds = matchings.map((m) => m.matching_id)
const scores = await prisma.cv_score.findMany({
where: { matching_id: { in: matchingIds } },
select: { matching_id: true, profile_id: true, score: true },
})
const matchingToProfile = new Map(
matchings.map((m) => [m.matching_id, m.profile_id])
)
for (const s of scores) {
const profileId =
s.profile_id ??
matchingToProfile.get(s.matching_id ?? "")
if (profileId) {
scoreMap.set(profileId, s.score ?? null)
}
}
}
}
}
// -------------------------
// FETCH ALL (NO PAGINATION)
// -------------------------
const profiles = await prisma.cv_profile.findMany({
where,
orderBy: isScoreSort ? { created_at: "desc" } : orderBy,
})
// In-memory score sort
if (isScoreSort) {
profiles.sort((a, b) => {
const aScore = scoreMap.get(a.profile_id) ?? -Infinity
const bScore = scoreMap.get(b.profile_id) ?? -Infinity
return sortOrder === "asc"
? aScore - bScore
: bScore - aScore
})
}
const profilesWithScore = profiles.map((profile) => ({
...profile,
score: scoreMap.get(profile.profile_id) ?? null,
}))
const csv = generateCSV(profilesWithScore)
if (!csv) {
return NextResponse.json(
{ error: "No data to export" },
{ status: 400 }
)
}
const filename = `candidates-${new Date()
.toISOString()
.slice(0, 10)}.csv`
return new NextResponse(csv, {
status: 200,
headers: {
"Content-Type": "text/csv;charset=utf-8",
"Content-Disposition": `attachment; filename="${filename}"`,
"Cache-Control": "no-cache, no-store, must-revalidate",
},
})
} catch (error) {
console.error("Export error:", error)
return NextResponse.json(
{ error: "Failed to export candidates" },
{ status: 500 }
)
}
}
// ---------------------------------------------
// CSV GENERATOR
// ---------------------------------------------
function generateCSV(profiles: any[]): string {
if (profiles.length === 0) return ""
const columns = [
"profile_id",
"fullname",
"domicile",
"yoe",
"univ_edu_1",
"major_edu_1",
"gpa_edu_1",
"univ_edu_2",
"major_edu_2",
"gpa_edu_2",
"univ_edu_3",
"major_edu_3",
"gpa_edu_3",
"hardskills",
"softskills",
"certifications",
"business_domain",
"score",
]
const header = columns.join(",")
const rows = profiles.map((profile) =>
columns
.map((col) => {
const value = profile[col]
if (Array.isArray(value)) {
return `"${value.join("; ")}"`
}
if (value === null || value === undefined) {
return ""
}
const stringValue = String(value)
if (
stringValue.includes(",") ||
stringValue.includes('"') ||
stringValue.includes("\n")
) {
return `"${stringValue.replace(/"/g, '""')}"`
}
return stringValue
})
.join(",")
)
return [header, ...rows].join("\n")
} |