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cevhericlaude
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fix(db/postgres): schema introspection timeout fix + full test coverage (v0.9.25) (#71)
* fix(sql): quote schema-qualified table names per-segment The dialect-aware quoteIdentifier treated a schema-qualified table name as a single identifier, so 'employees.department' became '"employees.department"' — which Postgres reads as one relation literally named with a dot, failing with a query error. Sidebar 'select top 100' on any schema-qualified table was broken. Add quoteQualifiedName(): split on '.', quote each segment only-when-needed, and rejoin. 'employees.department' stays unquoted; 'public.Order' becomes 'public."Order"'. Use it for table names in the query generators and the data profiler (columns still use single-identifier quoting). Verified end-to-end against a Neon Postgres database: the generated 'SELECT * FROM employees.department LIMIT 50;' runs, whereas the old quoted form failed. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * chore(package): bump version to 0.9.23 * chore(package): bump version to 0.9.24 * fix(db/postgres): prevent schema introspection timeout on large schemas getSchema() ran a single query that joins five information_schema-based CTEs (columns, PKs, foreign keys, indexes + table sizes). PostgreSQL 12+ inlines single-reference CTEs, and because the planner estimates rows=1 for information_schema views it chose nested-loop joins that re-execute the expensive fk/index CTEs many times. On schemas with 100+ tables this exploded to ~295s and always hit the connection's 60s statement_timeout, so the schema tree never loaded. Two complementary fixes: 1. Mark all CTEs AS MATERIALIZED so each is computed once instead of being re-executed inside nested loops (~295s -> ~2.6s on a 122-table schema). 2. Split schema loading into two phases so a slow/failing stats query can never block the table list: - getSchemaList() -> tables + columns + PKs (fast, ~50ms) [/api/db/schema/list] - getSchemaRelations() -> foreign keys + indexes (heavy, ~2.3s) [/api/db/schema/relations] The client renders the tree from the fast list immediately, then merges relations asynchronously. If relations fail/time out they are logged and skipped — the table list stays intact. getSchema() is kept (MATERIALIZED) for consumers that need the full schema (diff, AI context). New optional provider methods getSchemaList/getSchemaRelations fall back to getSchema()/[] for providers that don't implement them. * test(db/schema): cover two-phase schema introspection (list + relations) Adds regression coverage for the schema-introspection timeout fix (0d60c47), which split schema loading into a fast structural list and a heavy, best-effort relations phase. None of the new code paths were previously tested. Provider (tests/integration/db/postgres-provider.test.ts, +11): - getSchemaList(): returns columns + PKs but intentionally empty indexes/foreignKeys, isPrimary detection, non-public schema prefixing, negative reltuples row_count clamped to 0, and null/empty columns. - getSchemaRelations(): FK/index data keyed by display name, non-public prefixing on both the table and the referenced table, public references kept bare, empty/null fk-index tolerance, and null index columns coerced to []. API routes (new files, 15 tests): - /api/db/schema/list: uses getSchemaList() when present, falls back to getSchema() otherwise, plus auth (401), empty-body (400), missing-type (400), ConnectionError (503) and DatabaseError/generic (500). - /api/db/schema/relations: uses getSchemaRelations() when present, returns [] fallback otherwise, plus the same auth/validation/error matrix. Hook (tests/hooks/use-connection-manager.test.ts, +4): - phase 1 renders the table list, phase 2 merges FKs/indexes by table name; - relations failure does NOT wipe the table list and shows no error toast (the core resilience contract of the fix); - phase 1 failure short-circuits so the heavy relations endpoint is never hit; - tables absent from the relations payload are left unchanged. Full suite green: lint (0 errors), typecheck, 2050 unit/api/integration + 251 hooks + component groups, 0 failures. * fix(db/postgres): hoist schema SQL to module scope + dedupe CTEs for Sonar gate The SonarCloud PR quality gate failed on #71 with 53.3% coverage and 6.6% duplication on new code. Both stem from how the schema introspection SQL was written, not from missing tests. Coverage: the getSchema/getSchemaList/getSchemaRelations SQL lived in multi-line template literals *inside the method bodies*. bun's coverage instruments the interior lines of such literals as 0-hit in any test process that imports the module without exercising the method; the merged lcov (per-file isolated runs) then reports those SQL lines as uncovered even though the methods are tested. Verified empirically: a module-level `const` template is evaluated once at load and reported covered everywhere, while an in-body one is not. Hoisting the three queries to module scope takes postgres.ts new-code line coverage 28% -> 100% (overall new-code coverage 53.9% -> ~99%). Duplication: the hoisted queries shared the same CTEs (tables/columns/pk across full+list, fk/index across full+relations). Extracted each CTE to a single reusable fragment const and compose the three queries from them, removing the duplicated blocks. The SQL text produced is unchanged. Tests: the two route specs intentionally keep their mock.module setup inline (a shared helper breaks bun's per-file mock scoping under the non-isolated `bun run test`, clobbering @/lib/db mocks across files). Added an empty-object ({}) body case to each for the last uncovered branch. Test mock/setup boilerplate is expected harness scaffolding, so tests are excluded from Sonar copy-paste detection (sonar.cpd.exclusions). No behavioural change: same SQL, same provider/route/hook logic. Verified: lint (0 errors), typecheck, 2052 unit/api/integration + hooks + component groups (0 failures), production build, full coverage regenerated. * chore(package): bump version to 0.9.25 * refactor(api/schema): extract shared handler to remove route duplication The Sonar PR gate still flagged 6.2% duplication on new code: the /api/db/schema/list and /api/db/schema/relations routes shared ~39 identical lines of body parsing, auth, connection resolution and error handling (the only difference is which provider method they call). Extract that boilerplate into handleSchemaRequest() in src/lib/api/schema-route.ts; each route is now a thin wrapper that passes a `load` callback selecting the provider method (with the getSchemaList->getSchema and getSchemaRelations->[] fallbacks preserved). Removes both 39-line duplicated blocks. Coverage holds at 100% on new code (the shared handler is fully exercised by the existing route specs). Verified: typecheck, 2052 core tests + 0 failures, coverage regenerated (schema-route.ts 32/32 lines). * fix(db/postgres): join constraint_column_usage on constraint_schema for cross-schema FKs Copilot review on #71 flagged a pre-existing bug in the FK introspection (from 0d60c47, relocated verbatim into CTE_FK_INFO during the dedupe): JOIN information_schema.constraint_column_usage ccu ON ccu.constraint_name = tc.constraint_name AND ccu.table_schema = tc.table_schema -- wrong For a foreign key, constraint_column_usage reports the *referenced* (parent) table's columns, so ccu.table_schema is the referenced schema while tc.table_schema is the referencing schema. Joining them requires the two to be equal, which silently drops every cross-schema foreign key and makes referencedSchema always equal the referencing schema — defeating the non-public referenced-table prefixing (e.g. billing.accounts). Join on the constraint's own schema instead (ccu.constraint_schema = tc.constraint_schema). Because the FK CTE is now single-sourced, this fixes both getSchema() and getSchemaRelations(). Added a SQL-level regression guard: the existing specs mock the query result, so they can't catch a bad join; the new test asserts the emitted SQL joins on constraint_schema and not table_schema. Real cross-schema FK behaviour should be confirmed against a live Postgres via E2E. --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
1 parent 3ed4b11 commit 96eab52

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package.json

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{
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"name": "@libredb/studio",
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"version": "0.9.23",
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"version": "0.9.25",
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"private": false,
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"publishConfig": {
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"access": "public"

sonar-project.properties

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# Exclude only runtime/generated code, NOT test files
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sonar.exclusions=**/node_modules/**,**/.next/**,**/build/**,**/out/**,src/components/ui/**
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# Duplication: test files share intentional mock/setup boilerplate (provider
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# mocks, request fixtures). That repetition is expected harness scaffolding, not
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# production duplication, so exclude tests from copy-paste detection.
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sonar.cpd.exclusions=tests/**,e2e/**
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sonar.javascript.lcov.reportPaths=coverage/lcov.info
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sonar.typescript.tsconfigPath=tsconfig.json
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sonar.sourceEncoding=UTF-8
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import { NextRequest } from 'next/server';
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import { handleSchemaRequest } from '@/lib/api/schema-route';
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export const dynamic = 'force-dynamic';
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/**
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* Fast structural schema (tables + columns + PKs), excluding the expensive
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* foreign-key/index introspection. Used by the schema explorer to render the
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* table tree immediately; relationships/indexes are fetched separately via
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* /api/db/schema/relations and merged in asynchronously.
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*
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* Falls back to the full getSchema() for providers that don't implement the
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* fast path, so non-postgres databases keep working unchanged.
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*/
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export async function POST(req: NextRequest) {
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return handleSchemaRequest(req, 'api/db/schema/list', (provider) =>
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provider.getSchemaList ? provider.getSchemaList() : provider.getSchema(),
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);
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}
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import { NextRequest } from 'next/server';
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import { handleSchemaRequest } from '@/lib/api/schema-route';
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export const dynamic = 'force-dynamic';
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/**
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* Heavy relationship/index introspection (foreign keys + indexes), keyed by
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* table display name for async merge into /api/db/schema/list results. Kept
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* separate so its cost never blocks the table list. Returns [] for providers
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* that don't implement it.
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*/
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export async function POST(req: NextRequest) {
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return handleSchemaRequest(req, 'api/db/schema/relations', async (provider) =>
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provider.getSchemaRelations ? provider.getSchemaRelations() : [],
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);
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}

src/hooks/use-connection-manager.ts

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'use client';
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import { useState, useEffect, useCallback, useMemo } from 'react';
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import type { DatabaseConnection, TableSchema } from '@/lib/types';
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import type { DatabaseConnection, TableSchema, TableRelations } from '@/lib/types';
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import { useToast } from '@/hooks/use-toast';
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import { storage } from '@/lib/storage';
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import { logger } from '@/lib/logger';
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const { toast } = useToast();
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// Fetch schema for a connection
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// Fetch schema for a connection — two phases so a slow/failing stats query
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// never blocks the table list:
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// 1. /api/db/schema/list → tables + columns + PKs (fast) → render tree
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// 2. /api/db/schema/relations → foreign keys + indexes (heavy) → async merge
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const fetchSchema = useCallback(async (conn: DatabaseConnection) => {
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setIsLoadingSchema(true);
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try {
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const payload = conn.managed && conn.seedId
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? { connectionId: `seed:${conn.seedId}` }
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: conn; // bare conn for backward compat with schema route
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const response = await fetch('/api/db/schema', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify(payload),
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});
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const payload = conn.managed && conn.seedId
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? { connectionId: `seed:${conn.seedId}` }
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: conn; // bare conn for backward compat with schema route
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const init = (path: string): [string, RequestInit] => [
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path,
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{ method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(payload) },
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];
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// Phase 1 — structural list (blocks; this is what the explorer needs)
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try {
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const response = await fetch(...init('/api/db/schema/list'));
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if (!response.ok) {
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const errorData = await response.json().catch(() => ({}));
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const errorMessage = errorData.error || 'Failed to fetch schema';
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throw new Error(errorMessage);
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throw new Error(errorData.error || 'Failed to fetch schema');
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}
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const data = await response.json();
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setSchema(data);
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const list: TableSchema[] = await response.json();
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setSchema(list);
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} catch (error) {
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const errorMessage = error instanceof Error ? error.message : 'Unknown error';
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toast({ title: "Schema Error", description: errorMessage, variant: "destructive" });
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return; // finally still clears the loading flag; skip relations
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} finally {
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setIsLoadingSchema(false);
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}
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// Phase 2 — relationships + indexes (best-effort; never breaks the list)
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try {
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const relRes = await fetch(...init('/api/db/schema/relations'));
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if (!relRes.ok) {
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const errorData = await relRes.json().catch(() => ({}));
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throw new Error(errorData.error || 'Failed to fetch schema relations');
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}
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const relations: TableRelations[] = await relRes.json();
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const byName = new Map(relations.map(r => [r.name, r]));
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setSchema(prev => prev.map(t => {
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const r = byName.get(t.name);
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return r ? { ...t, foreignKeys: r.foreignKeys, indexes: r.indexes } : t;
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}));
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} catch (error) {
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// Foreign keys / indexes are non-essential for browsing — log and move on.
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logger.error('Failed to load schema relations (FK/indexes); table list unaffected', {
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route: 'use-connection-manager',
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error: error instanceof Error ? error.message : String(error),
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});
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}
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}, [toast]);
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// Memoized derived values

src/lib/api/schema-route.ts

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import { NextRequest, NextResponse } from 'next/server';
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import { getOrCreateProvider } from '@/lib/db';
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import { createErrorResponse } from '@/lib/api/errors';
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import { resolveConnection } from '@/lib/seed/resolve-connection';
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import { getSession } from '@/lib/auth';
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import type { DatabaseProvider } from '@/lib/db/types';
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/**
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* Shared request handling for the schema introspection routes
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* (/api/db/schema/list and /api/db/schema/relations). Both perform the same
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* body parsing, auth, connection resolution and error mapping; only the
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* provider call differs, supplied via `load`.
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*/
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export async function handleSchemaRequest(
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req: NextRequest,
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route: string,
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load: (provider: DatabaseProvider) => Promise<unknown>,
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): Promise<NextResponse> {
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try {
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let body;
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try {
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body = await req.json();
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} catch {
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return NextResponse.json({ error: 'Empty request body' }, { status: 400 });
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}
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if (!body || (typeof body === 'object' && Object.keys(body).length === 0)) {
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return NextResponse.json({ error: 'Empty request body' }, { status: 400 });
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}
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const session = await getSession();
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if (!session) {
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return NextResponse.json({ error: 'Authentication required' }, { status: 401 });
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}
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const connection = await resolveConnection(
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body.connectionId ? body : (body.connection ? body : { connection: body }),
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session,
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);
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if (!connection.type) {
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return NextResponse.json(
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{ error: 'Valid connection configuration is required' },
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{ status: 400 }
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);
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}
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const provider = await getOrCreateProvider(connection);
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return NextResponse.json(await load(provider));
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} catch (error) {
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return createErrorResponse(error, { route });
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}
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}

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