mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
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84762f08ab
Phase 1 - Repo Hardening: - README.md, LICENSE, SECURITY.md, CONTRIBUTING.md - GitHub Actions repo-hygiene workflow - docs/: ARCHITECTURE, DATA-MODEL, API-MAP, AGENT-MAP, DEPLOYMENT-NOTES Phase 2 - Database Models (7 new): - Company, Contact, Call, Commission, Payout, Dispute, GuaranteeClaim - Consent, Complaint, Policy, KnowledgeArticle, SectorAsset - Updated models/__init__.py with all 32+ models Phase 3 - API Surfaces (16 new route files): - companies, contacts, calls, meetings, commissions, payouts - disputes, guarantees, consents, complaints, knowledge - sectors, presentations, supervisor, admin, health - Updated router.py with all 24 route groups Phase 4 - AI Prompt Registry (18 agent contracts): - Lead Qualification, Affiliate Recruitment Evaluator, Onboarding Coach - Outreach Writer, Arabic WhatsApp, English Conversation, Voice Call - Meeting Booking, Sector Strategist, Objection Handler - Proposal Drafter, QA Reviewer, Compliance Reviewer - Knowledge Retrieval, Revenue Attribution, Fraud Reviewer - Guarantee Claim Reviewer, Management Summary Phase 5 - Communication Templates: - 15 production templates (WhatsApp, email, voice, internal) - Arabic + English variants with variable interpolation Phase 6 - Compliance Center (7 legal docs): - Privacy policy, Terms of service, Refund policy - Commission policy, Affiliate rules, Consent policy, Data protection - All PDPL-compliant, Arabic Phase 7 - Celery Workers (fully implemented): - follow_up_tasks: automated lead follow-ups with workflow execution - message_tasks: WhatsApp/email/SMS with retry logic - notification_tasks: daily reports, meeting reminders, in-app notifications - affiliate_tasks: target checking, commission calculation, weekly reports, AI outreach Phase 8 - Knowledge Base OS (8 files): - Services overview, Pricing policy, Channel policy, Meeting policy - Identity rules, Escalation rules, Hiring path, Internal SOPs https://claude.ai/code/session_01KnJgK7RwyeCvRZTRThHtfU
46 lines
1.1 KiB
Python
46 lines
1.1 KiB
Python
from fastapi import APIRouter, Depends
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy import text
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from datetime import datetime, timezone
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from pydantic import BaseModel as Schema
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from app.database import get_db
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router = APIRouter()
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class HealthResponse(Schema):
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status: str
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timestamp: str
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version: str = "1.0.0"
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class ReadyResponse(Schema):
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status: str
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database: str
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timestamp: str
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@router.get("/health", response_model=HealthResponse)
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async def health_check():
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return HealthResponse(
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status="healthy",
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timestamp=datetime.now(timezone.utc).isoformat(),
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)
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@router.get("/ready", response_model=ReadyResponse)
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async def readiness_check(db: AsyncSession = Depends(get_db)):
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db_status = "connected"
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try:
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await db.execute(text("SELECT 1"))
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except Exception:
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db_status = "unavailable"
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overall = "ready" if db_status == "connected" else "not_ready"
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return ReadyResponse(
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status=overall,
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database=db_status,
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timestamp=datetime.now(timezone.utc).isoformat(),
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)
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