"""Shared demo data seeding for examples.

Used by examples 13, 15, and 16 to avoid copy-pasting the same data.
Import and call seed_demo_data() once at module load.

NOTE: Since PraisonAIUI features now use various backends (FileScheduleStore,
ApprovalRegistry, etc.), seeding is best done via API calls in tests rather
than direct store manipulation.
"""


def seed_demo_data():
    """Populate feature stores with demo data.

    Seeds data via HTTP API calls to ensure compatibility across
    different backend implementations (file, DB, etc.).
    """
    try:
        from starlette.testclient import TestClient

        from praisonaiui.server import create_app

        app = create_app()
        with TestClient(app) as client:
            seed_via_api(client)
    except ImportError:
        pass


def seed_via_api(client):
    """Seed demo data via API calls (recommended approach).

    Args:
        client: Starlette TestClient instance
    """
    # Channels
    client.post("/api/channels", json={
        "name": "Discord #general", "platform": "discord",
        "config": {"guild_id": "123456789", "bot_token_ref": "env:DISCORD_BOT_TOKEN"}
    })
    client.post("/api/channels", json={
        "name": "Telegram Support", "platform": "telegram",
        "config": {"bot_token_ref": "env:TELEGRAM_BOT_TOKEN"}
    })
    client.post("/api/channels", json={
        "name": "Support Email", "platform": "email",
        "config": {"email_address": "support@example.com", "app_password_ref": "env:EMAIL_APP_PASSWORD"}
    })

    # Agents
    client.post("/api/agents/definitions", json={
        "name": "Summarizer",
        "instructions": "You are an expert summarizer.",
        "model": "gpt-4o-mini"
    })
    client.post("/api/agents/definitions", json={
        "name": "Code Assistant",
        "instructions": "You are an expert programmer.",
        "model": "gpt-4o"
    })

    # Schedules
    client.post("/api/schedules", json={
        "name": "Daily Report",
        "schedule": {"kind": "every", "every_seconds": 86400},
        "message": "Generate daily summary"
    })

    # Usage
    client.post("/api/usage/track", json={
        "model": "gpt-4o-mini",
        "input_tokens": 150,
        "output_tokens": 80
    })

    # Jobs
    client.post("/api/jobs", json={
        "prompt": "Test job",
        "config": {"model": "gpt-4o-mini"}
    })