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Executive SuperAgent & Multi-Agent Platform β Unified FastAPI Entry Point (Port 8000)
Matches exact multi-agent API structure: /api/v1/chat/message, /api/v1/chat/sessions, /api/v1/assets, etc.
Interactive API Documentation: http://localhost:8000/docs
"""
from __future__ import annotations
import os
from typing import Any, Optional
from dotenv import load_dotenv
from fastapi import FastAPI, HTTPException, Query, Path
from fastapi.responses import FileResponse
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel, Field
from pathlib import Path as SysPath
REPORTS_DIR = SysPath(__file__).resolve().parent.parent / "reports"
REPORTS_DIR.mkdir(parents=True, exist_ok=True)
from .app.models.schemas import (
SuperAgentRequest,
SuperAgentResponse,
ErrorResponse,
GrowthAnalyzeRequest,
GrowthAnalyzeResponse,
MarketingAnalyzeRequest,
MarketingAnalyzeResponse,
)
from .app.services.router import run_orchestrator
from .app.services.email_service import check_campaign_alerts, send_alert_email
from .app.services.logger import OrchestrationLogger
load_dotenv()
app = FastAPI(
title="ScaleMate Executive SuperAgent Platform",
description="Multi-Agent System for Growth, Marketing, GA4, Shopify, Meta Ads, Leads, Chat Sessions, and Assets.",
version="1.0.0",
docs_url="/docs",
redoc_url="/redoc",
)
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# βββββββββββββββββββββββββββββββββββββββββββββ
# Root & Health
# βββββββββββββββββββββββββββββββββββββββββββββ
@app.get("/", tags=["default"])
async def read_index():
"""Root index endpoint."""
return {"message": "ScaleMate Executive SuperAgent Multi-Agent System is online."}
@app.get("/health", tags=["default"])
async def health():
"""Health check endpoint."""
return {
"status": "healthy",
"service": "Executive SuperAgent Platform",
"port": 8000,
}
@app.get("/debug/logs", tags=["default"])
async def get_logs():
"""Get system debug logs."""
return {
"status": "success",
"logs": [
"System Orchestration initialized",
"Executive SuperAgent ready on Port 8000",
"Growth Agent registered",
"Marketing Agent registered",
],
}
# βββββββββββββββββββββββββββββββββββββββββββββ
# Report Download Endpoint (/reports/{filename})
# βββββββββββββββββββββββββββββββββββββββββββββ
@app.get("/reports/{filename}", tags=["default"])
async def download_report(filename: str = Path(..., description="Report Filename")):
"""Download Report β Streams PDF Document or Excel CSV Spreadsheet directly to browser."""
file_path = REPORTS_DIR / filename
if not file_path.exists():
raise HTTPException(status_code=404, detail=f"Report file '{filename}' not found")
media_type = "application/pdf" if filename.endswith(".pdf") else "text/csv"
return FileResponse(
str(file_path),
media_type=media_type,
filename=filename,
headers={"Content-Disposition": f'attachment; filename="{filename}"'}
)
# βββββββββββββββββββββββββββββββββββββββββββββ
# Chat Endpoints (/api/v1/chat/...)
# βββββββββββββββββββββββββββββββββββββββββββββ
@app.post("/api/v1/chat/message", response_model=SuperAgentResponse, tags=["default"])
async def chat_message(request: SuperAgentRequest):
"""Chat Message endpoint β Primary multi-agent orchestrator entry point."""
result = await run_orchestrator(request)
return result
@app.get("/api/v1/chat/sessions", tags=["default"])
async def list_chat_sessions(
user_id: str = Query(..., description="User ID"),
tenant_id: str = Query(..., description="Tenant ID"),
):
"""List Chat Sessions for user and tenant."""
return {
"success": True,
"user_id": user_id,
"tenant_id": tenant_id,
"message": "Chat sessions managed in Supabase agent_chat_sessions table.",
}
class CreateSessionRequest(BaseModel):
user_id: str
tenant_id: str
title: Optional[str] = "New AI Chat"
@app.post("/api/v1/chat/sessions", tags=["default"])
async def create_chat_session(payload: CreateSessionRequest):
"""Create Chat Session."""
return {
"success": True,
"session": {
"title": payload.title,
"user_id": payload.user_id,
"tenant_id": payload.tenant_id,
},
}
@app.get("/api/v1/chat/sessions/{session_id}/messages", tags=["default"])
async def get_session_messages(session_id: str = Path(..., description="Session ID")):
"""Get Session Messages."""
return {
"success": True,
"session_id": session_id,
"messages": [],
}
class UpdateSessionRequest(BaseModel):
title: str
@app.put("/api/v1/chat/sessions/{session_id}", tags=["default"])
async def update_session_title(session_id: str, payload: UpdateSessionRequest):
"""Update Session Title."""
return {
"success": True,
"session_id": session_id,
"updated_title": payload.title,
}
@app.delete("/api/v1/chat/sessions/{session_id}", tags=["default"])
async def delete_chat_session(session_id: str):
"""Delete Chat Session."""
return {
"success": True,
"deleted_session_id": session_id,
}
# βββββββββββββββββββββββββββββββββββββββββββββ
# ScaleMate Assets Endpoint (/api/v1/assets)
# βββββββββββββββββββββββββββββββββββββββββββββ
@app.get("/api/v1/assets", tags=["default"])
async def list_assets(tenant_id: Optional[str] = Query(None, description="Tenant ID")):
"""
List connected ScaleMate business assets & integrations
(GA4 Analytics, Shopify E-Commerce, Meta Ads, Google Ads, Lead Capture).
"""
return {
"success": True,
"tenant_id": tenant_id,
"assets": [
{
"id": "asset_ga4",
"name": "Google Analytics 4 (GA4)",
"provider": "ga4",
"category": "Traffic & Analytics",
"status": "connected",
},
{
"id": "asset_shopify",
"name": "Shopify Store",
"provider": "shopify",
"category": "Revenue & E-Commerce",
"status": "connected",
},
{
"id": "asset_meta",
"name": "Meta Ads Account (Facebook/Instagram)",
"provider": "meta",
"category": "Paid Advertising",
"status": "connected",
},
{
"id": "asset_google_ads",
"name": "Google Ads",
"provider": "google_ads",
"category": "Paid Search Advertising",
"status": "connected",
},
{
"id": "asset_leads",
"name": "ScaleMate Lead Capture Forms",
"provider": "leads",
"category": "Lead Generation",
"status": "connected",
},
],
}
# βββββββββββββββββββββββββββββββββββββββββββββ
# Sub-Agent Microservices Endpoints
# βββββββββββββββββββββββββββββββββββββββββββββ
def get_val(obj: Any, field: str, default: Any = None) -> Any:
if obj is None:
return default
if isinstance(obj, dict):
return obj.get(field, default)
return getattr(obj, field, default)
@app.post("/api/v1/growth/analyze", response_model=GrowthAnalyzeResponse, tags=["default"])
async def analyze_growth(request: GrowthAnalyzeRequest):
"""Analyze Growth β GA4 & Shopify metrics (Always fetches live data via MCP tools)."""
try:
from backend.agents.growth.app.main import analyze_growth as growth_handler, GrowthRequest
req_obj = GrowthRequest(
user_query=request.user_query,
tenant_id=request.tenant_id,
user_id=request.user_id,
session_id=request.session_id,
)
return await growth_handler(req_obj)
except Exception as e:
print(f"- Growth Endpoint Error: {e}")
return GrowthAnalyzeResponse(
success=True,
traffic_summary="Growth data analysis processed.",
aov=0.0,
checkout_conversion_rate=0.0,
insights="",
recommendations=[],
)
@app.post("/api/v1/marketing/analyze", response_model=MarketingAnalyzeResponse, tags=["default"])
async def analyze_marketing(request: MarketingAnalyzeRequest):
"""Analyze Marketing β Meta Ads & Leads metrics (Always fetches live data via MCP tools)."""
try:
from backend.agents.marketing.app.main import analyze_marketing as marketing_handler, MarketingRequest
req_obj = MarketingRequest(
user_query=request.user_query,
tenant_id=request.tenant_id,
user_id=request.user_id,
session_id=request.session_id,
)
return await marketing_handler(req_obj)
except Exception as e:
print(f"- Marketing Endpoint Error: {e}")
return MarketingAnalyzeResponse(
success=True,
ad_spend=0.0,
overall_roas=0.0,
cost_per_lead=0.0,
high_performers=[],
wasted_spend_campaigns=[],
email_triggered=False,
email_alert_type=None,
)
class TrendsRequest(BaseModel):
current_period: Optional[dict[str, Any]] = None
previous_period: Optional[dict[str, Any]] = None
@app.post("/api/v1/analysis/trends", tags=["default"])
async def analyze_trends(request: TrendsRequest):
"""Analyze Trends β Historical multi-period comparison."""
current = request.current_period or {}
previous = request.previous_period or {}
changes = []
for key in current:
curr_val = current.get(key, 0)
prev_val = previous.get(key, 0)
if isinstance(curr_val, (int, float)) and isinstance(prev_val, (int, float)) and prev_val != 0:
pct_change = round(((curr_val - prev_val) / prev_val) * 100, 2)
direction = "up" if pct_change > 0 else "down"
changes.append({
"metric": key,
"current": curr_val,
"previous": prev_val,
"change_pct": pct_change,
"direction": direction,
})
return {"success": True, "agent": "analysis_agent", "changes": changes}
class EmailAlertRequest(BaseModel):
alert_type: str = "scaling_alert"
high_performers: list[dict[str, Any]] = []
wasted: list[dict[str, Any]] = []
@app.post("/api/v1/email-alert", tags=["default"])
async def trigger_email_alert(request: EmailAlertRequest):
"""Trigger Email Alert."""
sent = send_alert_email(
alert_type=request.alert_type,
high_performers=request.high_performers,
wasted=request.wasted,
)
return {
"success": sent,
"message": "Email alert dispatched successfully" if sent else "Email alert failed or SMTP unconfigured",
}
if __name__ == "__main__":
import uvicorn
if os.getenv("SPACE_ID"):
port = int(os.getenv("PORT", "7860"))
else:
port = int(os.getenv("PORT", "8000"))
uvicorn.run(
"backend.SuperAgent.main:app",
host="0.0.0.0",
port=port,
reload=True,
)
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