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
60 lines
2.0 KiB
Python
60 lines
2.0 KiB
Python
import enum
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from datetime import datetime, timezone
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from sqlalchemy import Column, String, Integer, Text, DateTime, Float, Enum, ForeignKey
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from sqlalchemy.dialects.postgresql import UUID
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from sqlalchemy.orm import relationship
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from app.models.base import TenantModel
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class CallDirection(str, enum.Enum):
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INBOUND = "inbound"
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OUTBOUND = "outbound"
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class CallChannel(str, enum.Enum):
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PHONE = "phone"
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WHATSAPP_VOICE = "whatsapp_voice"
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class CallStatus(str, enum.Enum):
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INITIATED = "initiated"
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RINGING = "ringing"
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ANSWERED = "answered"
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COMPLETED = "completed"
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FAILED = "failed"
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NO_ANSWER = "no_answer"
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class CallOutcome(str, enum.Enum):
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INTERESTED = "interested"
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NOT_INTERESTED = "not_interested"
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CALLBACK = "callback"
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MEETING_BOOKED = "meeting_booked"
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WRONG_NUMBER = "wrong_number"
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class Call(TenantModel):
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__tablename__ = "calls"
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lead_id = Column(UUID(as_uuid=True), ForeignKey("leads.id"), nullable=True, index=True)
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contact_id = Column(UUID(as_uuid=True), ForeignKey("contacts.id"), nullable=True, index=True)
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affiliate_id = Column(UUID(as_uuid=True), ForeignKey("affiliate_marketers.id"), nullable=True)
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user_id = Column(UUID(as_uuid=True), ForeignKey("users.id"), nullable=True)
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direction = Column(Enum(CallDirection), nullable=False)
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channel = Column(Enum(CallChannel), default=CallChannel.PHONE)
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duration_seconds = Column(Integer, nullable=True)
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status = Column(Enum(CallStatus), default=CallStatus.INITIATED)
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outcome = Column(Enum(CallOutcome), nullable=True)
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transcript = Column(Text, nullable=True)
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summary = Column(Text, nullable=True)
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sentiment_score = Column(Float, nullable=True)
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recording_url = Column(String(500), nullable=True)
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started_at = Column(DateTime(timezone=True), nullable=True)
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ended_at = Column(DateTime(timezone=True), nullable=True)
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notes = Column(Text, nullable=True)
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lead = relationship("Lead")
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contact = relationship("Contact")
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affiliate = relationship("AffiliateMarketer")
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user = relationship("User")
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