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https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
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f1852c1121
Full-stack AI-powered sales automation platform for Saudi SMEs: Backend (FastAPI + PostgreSQL): - Multi-tenant architecture with row-level isolation - JWT auth with RBAC (owner/manager/agent/admin) - Lead, Customer, Deal, Pipeline, Activity, Message, Proposal models - Dashboard analytics API (overview, pipeline, revenue) - WhatsApp Business API, Email (SMTP/SendGrid), SMS (Unifonic) integrations - Celery + Redis workers for automated follow-ups and scheduled messages - Property model for Real Estate module (Riyadh districts) - Hijri date utilities, Arabic/English localization Frontend (Next.js + Tailwind): - Professional Arabic RTL landing page with 10 sections - Brand identity: SalesMatic (سيلزماتك) with custom SVG logo - Color system: Trust Blue #0F4C81, Growth Teal #00BFA6, CTA Orange #FF6B35 - IBM Plex Sans Arabic + Inter typography - Responsive design, dark hero section, pricing table, FAQ Industry Templates: - Healthcare/Clinics: pipeline stages, WhatsApp message templates, auto-workflows - Real Estate Riyadh: 20 districts, property tours, payment plans, matching Infrastructure: - Docker Compose (PostgreSQL, Redis, Backend, Celery, Frontend, Nginx) - Nginx reverse proxy config - Makefile for common operations https://claude.ai/code/session_01LLR7jzpyNRwDA9kojtT3CW
79 lines
2.9 KiB
Python
79 lines
2.9 KiB
Python
from datetime import datetime, timezone, timedelta
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from decimal import Decimal
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from fastapi import APIRouter, Depends
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy import select, func
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from app.database import get_db
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from app.api.deps import get_current_user
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from app.models.user import User
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from app.models.lead import Lead
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from app.models.deal import Deal
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from app.models.message import Message
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from app.schemas.dashboard import DashboardOverview, PipelineSummary
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router = APIRouter()
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@router.get("/overview", response_model=DashboardOverview)
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async def dashboard_overview(
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current_user: User = Depends(get_current_user),
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db: AsyncSession = Depends(get_db),
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):
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tid = current_user.tenant_id
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today_start = datetime.now(timezone.utc).replace(hour=0, minute=0, second=0, microsecond=0)
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total_leads = (await db.execute(select(func.count()).where(Lead.tenant_id == tid))).scalar() or 0
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new_today = (await db.execute(select(func.count()).where(Lead.tenant_id == tid, Lead.created_at >= today_start))).scalar() or 0
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total_deals = (await db.execute(select(func.count()).where(Deal.tenant_id == tid))).scalar() or 0
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open_value = (await db.execute(
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select(func.coalesce(func.sum(Deal.value), 0)).where(Deal.tenant_id == tid, Deal.stage.notin_(["closed_won", "closed_lost"]))
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)).scalar() or Decimal("0")
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won_value = (await db.execute(
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select(func.coalesce(func.sum(Deal.value), 0)).where(Deal.tenant_id == tid, Deal.stage == "closed_won")
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)).scalar() or Decimal("0")
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won_count = (await db.execute(
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select(func.count()).where(Deal.tenant_id == tid, Deal.stage == "closed_won")
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)).scalar() or 0
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msgs_today = (await db.execute(
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select(func.count()).where(Message.tenant_id == tid, Message.created_at >= today_start, Message.direction == "outbound")
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)).scalar() or 0
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conversion = (won_count / total_leads * 100) if total_leads > 0 else 0
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return DashboardOverview(
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total_leads=total_leads,
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new_leads_today=new_today,
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total_deals=total_deals,
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open_deals_value=open_value,
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closed_won_value=won_value,
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closed_won_count=won_count,
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messages_sent_today=msgs_today,
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conversion_rate=round(conversion, 2),
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active_workflows=0,
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)
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@router.get("/pipeline", response_model=PipelineSummary)
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async def pipeline_summary(
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current_user: User = Depends(get_current_user),
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db: AsyncSession = Depends(get_db),
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):
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tid = current_user.tenant_id
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result = await db.execute(
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select(Deal.stage, func.count(), func.coalesce(func.sum(Deal.value), 0))
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.where(Deal.tenant_id == tid)
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.group_by(Deal.stage)
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)
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stages = {}
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values = {}
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for stage, count, value in result.all():
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stages[stage] = count
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values[stage] = float(value)
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return PipelineSummary(stages=stages, total_value_by_stage=values)
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