Initial commit: Port Nimara CRM (Layers 0-4)
Full CRM rebuild with Next.js 15, TypeScript, Tailwind, Drizzle ORM, PostgreSQL, Redis, BullMQ, MinIO, and Socket.io. Includes 461 source files covering clients, berths, interests/pipeline, documents/EOI, expenses/invoices, email, notifications, dashboard, admin, and client portal. CI/CD via Gitea Actions with Docker builds. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
24
src/app/api/v1/ai/email-draft/[jobId]/route.ts
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24
src/app/api/v1/ai/email-draft/[jobId]/route.ts
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import { NextResponse } from 'next/server';
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import { withAuth } from '@/lib/api/helpers';
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import { getEmailDraftResult } from '@/lib/services/email-draft.service';
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import { errorResponse } from '@/lib/errors';
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export const GET = withAuth(async (_req, _ctx, params) => {
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try {
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const { jobId } = params;
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if (!jobId) {
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return NextResponse.json({ error: 'jobId is required' }, { status: 400 });
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}
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const result = await getEmailDraftResult(jobId);
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if (result === null) {
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return NextResponse.json({ status: 'processing' });
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}
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return NextResponse.json({ status: 'complete', data: result });
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} catch (error) {
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return errorResponse(error);
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}
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});
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38
src/app/api/v1/ai/email-draft/route.ts
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38
src/app/api/v1/ai/email-draft/route.ts
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import { NextResponse } from 'next/server';
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import { and, eq } from 'drizzle-orm';
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import { withAuth } from '@/lib/api/helpers';
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import { db } from '@/lib/db';
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import { systemSettings } from '@/lib/db/schema/system';
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import { requestEmailDraft } from '@/lib/services/email-draft.service';
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import { parseBody } from '@/lib/api/route-helpers';
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import { requestDraftSchema } from '@/lib/validators/ai';
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import { errorResponse } from '@/lib/errors';
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export const POST = withAuth(async (req, ctx) => {
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try {
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// Feature flag check
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const flag = await db.query.systemSettings.findFirst({
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where: and(
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eq(systemSettings.key, 'ai_email_drafts'),
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eq(systemSettings.portId, ctx.portId),
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),
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});
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if (flag?.value !== true) {
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return NextResponse.json({ error: 'Feature not available' }, { status: 404 });
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}
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const body = await parseBody(req, requestDraftSchema);
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const { jobId } = await requestEmailDraft(ctx.userId, {
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interestId: body.interestId,
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clientId: body.clientId,
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portId: ctx.portId,
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context: body.context,
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additionalInstructions: body.additionalInstructions,
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});
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return NextResponse.json({ jobId }, { status: 202 });
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} catch (error) {
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return errorResponse(error);
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}
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});
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28
src/app/api/v1/ai/interest-score/bulk/route.ts
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src/app/api/v1/ai/interest-score/bulk/route.ts
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@@ -0,0 +1,28 @@
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import { NextResponse } from 'next/server';
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import { and, eq } from 'drizzle-orm';
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import { withAuth } from '@/lib/api/helpers';
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import { db } from '@/lib/db';
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import { systemSettings } from '@/lib/db/schema/system';
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import { calculateBulkScores } from '@/lib/services/interest-scoring.service';
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import { errorResponse } from '@/lib/errors';
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export const GET = withAuth(async (_req, ctx) => {
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try {
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// Feature flag check
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const flag = await db.query.systemSettings.findFirst({
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where: and(
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eq(systemSettings.key, 'ai_interest_scoring'),
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eq(systemSettings.portId, ctx.portId),
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),
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});
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if (flag?.value !== true) {
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return NextResponse.json({ error: 'Feature not available' }, { status: 404 });
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}
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const scores = await calculateBulkScores(ctx.portId);
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return NextResponse.json({ data: scores });
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} catch (error) {
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return errorResponse(error);
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}
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});
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32
src/app/api/v1/ai/interest-score/route.ts
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32
src/app/api/v1/ai/interest-score/route.ts
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import { NextResponse } from 'next/server';
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import { and, eq } from 'drizzle-orm';
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import { withAuth } from '@/lib/api/helpers';
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import { db } from '@/lib/db';
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import { systemSettings } from '@/lib/db/schema/system';
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import { calculateInterestScore } from '@/lib/services/interest-scoring.service';
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import { parseQuery } from '@/lib/api/route-helpers';
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import { requestScoreSchema } from '@/lib/validators/ai';
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import { errorResponse } from '@/lib/errors';
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export const GET = withAuth(async (req, ctx) => {
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try {
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// Feature flag check
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const flag = await db.query.systemSettings.findFirst({
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where: and(
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eq(systemSettings.key, 'ai_interest_scoring'),
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eq(systemSettings.portId, ctx.portId),
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),
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});
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if (flag?.value !== true) {
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return NextResponse.json({ error: 'Feature not available' }, { status: 404 });
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}
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const { interestId } = parseQuery(req, requestScoreSchema);
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const score = await calculateInterestScore(interestId, ctx.portId);
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return NextResponse.json({ data: score });
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} catch (error) {
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return errorResponse(error);
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}
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});
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