migrate from SQLite to PostgreSQL with Drizzle ORM

- Updated all packages to latest versions (React 19, Next.js 14.2.32)
- Replaced sqlite3 with pg and drizzle-orm dependencies
- Created complete PostgreSQL schema with relationships and indexes
- Migrated all API endpoints from SQLite to Drizzle queries
- Added database seeding with sample data
- Updated authentication to use bcrypt instead of pbkdf2
- Configured connection pooling for PostgreSQL
- Updated app version to 1.0.0
- All endpoints tested and working correctly
This commit is contained in:
2025-09-06 12:56:33 +02:00
parent 52bde64e7f
commit 860070a302
26 changed files with 2526 additions and 2403 deletions

View File

@@ -1,6 +1,6 @@
import type { NextApiRequest, NextApiResponse } from "next"
import sqlite3 from "sqlite3"
import path from "path"
import { db, schema } from '../../../lib/db/connection'
import { eq, and, or, like, gte, lte, desc, count, sql } from 'drizzle-orm'
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
if (req.method !== "GET") return res.status(405).json({ error: "Method not allowed" })
@@ -15,80 +15,113 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
limit = '20'
} = req.query
const dbPath = path.join(process.cwd(), "database", "antihoax.db")
const db = new sqlite3.Database(dbPath)
try {
let whereConditions = ["s.status = ?"]
let params: any[] = [status]
let whereConditions = [eq(schema.sources.status, status as string)]
if (q) {
whereConditions.push("(s.domain LIKE ? OR s.title LIKE ? OR s.description LIKE ?)")
params.push(`%${q}%`, `%${q}%`, `%${q}%`)
}
if (category) {
whereConditions.push("EXISTS (SELECT 1 FROM source_categories sc JOIN categories c ON sc.category_id = c.id WHERE sc.source_id = s.id AND c.name = ?)")
params.push(category)
whereConditions.push(
or(
like(schema.sources.domain, `%${q}%`),
like(schema.sources.title, `%${q}%`),
like(schema.sources.description, `%${q}%`)
)
)
}
if (risk_level_min) {
whereConditions.push("s.risk_level >= ?")
params.push(parseInt(risk_level_min as string))
whereConditions.push(gte(schema.sources.riskLevel, parseInt(risk_level_min as string)))
}
if (risk_level_max) {
whereConditions.push("s.risk_level <= ?")
params.push(parseInt(risk_level_max as string))
whereConditions.push(lte(schema.sources.riskLevel, parseInt(risk_level_max as string)))
}
const offset = (parseInt(page as string) - 1) * parseInt(limit as string)
const limitInt = parseInt(limit as string)
const query = `
SELECT s.*, GROUP_CONCAT(c.name) as categories,
COUNT(*) OVER() as total_count
FROM sources s
LEFT JOIN source_categories sc ON s.id = sc.source_id
LEFT JOIN categories c ON sc.category_id = c.id
WHERE ${whereConditions.join(' AND ')}
GROUP BY s.id
ORDER BY s.risk_level DESC, s.created_at DESC
LIMIT ? OFFSET ?
`
params.push(parseInt(limit as string), offset)
const results = await new Promise<any[]>((resolve, reject) => {
db.all(query, params, (err, rows) => {
if (err) reject(err)
else resolve(rows)
// Build the base query
let query = db
.select({
id: schema.sources.id,
domain: schema.sources.domain,
title: schema.sources.title,
riskLevel: schema.sources.riskLevel,
description: schema.sources.description,
createdAt: schema.sources.createdAt,
categories: sql<string>`string_agg(${schema.categories.name}, ',')`
})
})
.from(schema.sources)
.leftJoin(schema.sourceCategories, eq(schema.sources.id, schema.sourceCategories.sourceId))
.leftJoin(schema.categories, eq(schema.sourceCategories.categoryId, schema.categories.id))
.where(and(...whereConditions))
.groupBy(schema.sources.id, schema.sources.domain, schema.sources.title, schema.sources.riskLevel, schema.sources.description, schema.sources.createdAt)
.orderBy(desc(schema.sources.riskLevel), desc(schema.sources.createdAt))
.limit(limitInt)
.offset(offset)
const total = results.length > 0 ? results[0].total_count : 0
const totalPages = Math.ceil(total / parseInt(limit as string))
// Apply category filter if provided
if (category) {
query = db
.select({
id: schema.sources.id,
domain: schema.sources.domain,
title: schema.sources.title,
riskLevel: schema.sources.riskLevel,
description: schema.sources.description,
createdAt: schema.sources.createdAt,
categories: sql<string>`string_agg(${schema.categories.name}, ',')`
})
.from(schema.sources)
.innerJoin(schema.sourceCategories, eq(schema.sources.id, schema.sourceCategories.sourceId))
.innerJoin(schema.categories, eq(schema.sourceCategories.categoryId, schema.categories.id))
.where(and(...whereConditions, eq(schema.categories.name, category as string)))
.groupBy(schema.sources.id, schema.sources.domain, schema.sources.title, schema.sources.riskLevel, schema.sources.description, schema.sources.createdAt)
.orderBy(desc(schema.sources.riskLevel), desc(schema.sources.createdAt))
.limit(limitInt)
.offset(offset)
}
const results = await query
// Get total count for pagination
let countQuery = db
.select({ count: count() })
.from(schema.sources)
.where(and(...whereConditions))
if (category) {
countQuery = db
.select({ count: count() })
.from(schema.sources)
.innerJoin(schema.sourceCategories, eq(schema.sources.id, schema.sourceCategories.sourceId))
.innerJoin(schema.categories, eq(schema.sourceCategories.categoryId, schema.categories.id))
.where(and(...whereConditions, eq(schema.categories.name, category as string)))
}
const [totalResult] = await countQuery
const total = totalResult.count
const totalPages = Math.ceil(total / limitInt)
res.json({
results: results.map(row => ({
id: row.id,
domain: row.domain,
title: row.title,
risk_level: row.risk_level,
categories: row.categories ? row.categories.split(',') : [],
risk_level: row.riskLevel,
categories: row.categories ? row.categories.split(',').filter(Boolean) : [],
description: row.description,
created_at: row.created_at
created_at: row.createdAt
})),
pagination: {
page: parseInt(page as string),
limit: parseInt(limit as string),
limit: limitInt,
total,
totalPages
}
})
} catch (error) {
console.error('Search error:', error)
res.status(500).json({ error: "Search failed" })
} finally {
db.close()
}
}