"""Market trends feed for kant-en-klaar / halal ready meals."""
from __future__ import annotations

from typing import Any

from app.db import execute_returning, fetch_all, json_param


TREND_SEEDS = [
    {
        "category": "kant-en-klaar",
        "trend_name": "Halal ready-meals groei stedelijk",
        "description": "Stedelijke gebieden met hoge niet-westerse bevolking tonen vraag naar halal kant-en-klaar zonder voldoende schap-aanbod.",
        "source": "CBS + retail intelligence",
        "confidence_score": 0.82,
        "opportunity_score": 0.88,
        "related_products": ["halal maaltijden", "microwave meals", "salades"],
        "action_items": ["Target Plus/Jumbo regio's met halal-gap score >60", "Pilot schap bij 3 filialen"],
    },
    {
        "category": "halal",
        "trend_name": "Certificering als vertrouwen-driver",
        "description": "Filialen met halal-certificering maar beperkt ready-meal assortiment = upsell kans voor Foodlinkk.",
        "source": "halal_registry + CRM",
        "confidence_score": 0.75,
        "opportunity_score": 0.80,
        "related_products": ["HQC gecertificeerde maaltijden"],
        "action_items": ["Match HQC stores met CRM pipeline", "Cross-sell bestaande klanten"],
    },
    {
        "category": "kant-en-klaar",
        "trend_name": "Convenience trend post-COVID",
        "description": "Gemiddeld inkomen en eenpersoonshuishoudens correleren met groei kant-en-klaar segment.",
        "source": "CBS kerncijfers",
        "confidence_score": 0.70,
        "opportunity_score": 0.72,
        "related_products": ["single-serve", "meal kits"],
        "action_items": ["Filter winkels op huishoudens + inkomen >€35k"],
    },
]


def refresh_trends_from_social() -> dict[str, Any]:
    """Derive trend signals from social mentions keywords."""
    mentions = fetch_all(
        """SELECT platform, text, sentiment_score, created_at FROM social_mentions
           WHERE created_at > NOW() - interval '30 days'
           ORDER BY created_at DESC LIMIT 100"""
    )
    keywords = {
        "halal": 0, "kant-en-klaar": 0, "ready meal": 0, "meal prep": 0,
        "supermarkt": 0, "schap": 0, "afhalen": 0,
    }
    for m in mentions:
        text = (m.get("text") or "").lower()
        for kw in keywords:
            if kw in text:
                keywords[kw] += 1

    created = 0
    for kw, count in keywords.items():
        if count < 1:
            continue
        execute_returning(
            """INSERT INTO market_trends (category, trend_name, description, source,
               confidence_score, opportunity_score, related_products, data_source)
               VALUES (%s, %s, %s, 'social_mentions', %s, %s, %s, 'live_feed')
               RETURNING id""",
            (
                "kant-en-klaar" if "meal" in kw or "kant" in kw else "halal",
                f"Social buzz: {kw} ({count} mentions)",
                f"{count} vermeldingen afgelopen 30 dagen rond '{kw}'.",
                min(0.95, 0.5 + count * 0.05),
                min(0.95, 0.4 + count * 0.06),
                [kw],
            ),
        )
        created += 1

    for seed in TREND_SEEDS:
        exists = fetch_all(
            "SELECT id FROM market_trends WHERE trend_name = %s LIMIT 1",
            (seed["trend_name"],),
        )
        if not exists:
            execute_returning(
                """INSERT INTO market_trends (category, trend_name, description, source,
                   confidence_score, opportunity_score, related_products, action_items, data_source)
                   VALUES (%s,%s,%s,%s,%s,%s,%s,%s,'seed') RETURNING id""",
                (
                    seed["category"], seed["trend_name"], seed["description"], seed["source"],
                    seed["confidence_score"], seed["opportunity_score"],
                    seed["related_products"], seed["action_items"],
                ),
            )
            created += 1
    return {"trends_created": created, "keyword_hits": keywords}


def list_live_trends(limit: int = 20) -> list[dict[str, Any]]:
    return fetch_all(
        """SELECT * FROM market_trends ORDER BY updated_at DESC NULLS LAST, created_at DESC LIMIT %s""",
        (limit,),
    )