#!/usr/bin/env python3
"""Verify Notion DB schemas (inventory and shopping) against Pydantic models.

Derives expected properties from `db_models.py` metadata, not a manual dict.
Run with: uv run python scripts/verify_schema.py [--db inventory|shopping|all] [DB_ID]
"""

import sys
import os
from pathlib import Path

# Add src to path so we can import our modules
sys.path.insert(0, str(Path(__file__).parent.parent / "src"))

from dotenv import load_dotenv
load_dotenv()

from notion_client import Client
from typing import Any, Dict, cast, Type
import argparse

# Derive expected schema from Pydantic models rather than hardcoding
from foodwise.database.db_models import FoodInventoryItem, ShoppingListItem
import re


def _expected_properties_from_model(model: Type[Any]) -> dict:
    """Build expected Notion properties by parsing Pydantic Field descriptions.

    We avoid hand-maintained JSON by deriving property names and types from the
    model metadata. Special casing is minimal and limited to known Notion label
    formats and title properties.
    """
    fields = model.model_fields

    def to_title(label: str) -> str:
        # Snake to words, handling custom cases used in the Notion DB
        special = {
            "best_by_date": "Best By Date",
            "purchase_date": "Purchase Date",
            "opened_date": "Opened Date",
            "freeze_date": "Freeze Date",
            "location_shelf": "Location/Shelf",
            "fridge_zone": "Fridge Zone",
            "storage_type": "Storage Type",
            "cooked_raw_status": "Cooked/Raw Status",
            "prep_notes": "Prep Notes",
        }
        if label in special:
            return special[label]
        if label == "name":  # inventory title label
            return "Name"
        return " ".join(w.capitalize() for w in label.split("_"))

    def parse_notion_type(description: str | None, field_name: str) -> str:
        if not description:
            return "rich_text"  # safe default for free text
        m = re.search(r"Notion:\s*([^\)]+)\)", description)
        notion_hint = m.group(1).strip() if m else ""
        # Normalize common hints
        mapping = {
            "Text": "rich_text",
            "Rich text": "rich_text",
            "Title": "title",
            "Select": "select",
            "Multi-select": "multi_select",
            "Number": "number",
            "Date": "date",
            "Checkbox": "checkbox",
            "Checkbox/Boolean": "checkbox",
            "Boolean": "checkbox",
            "id": "id",
            "URL": "url",
        }
        # Some descriptions include multiple hints like "Text/Relation" – pick first known
        for part in [p.strip() for p in re.split(r"[,/]", notion_hint)]:
            if part in mapping:
                return mapping[part]
        # Fallbacks by annotation kinds
        ann = fields[field_name].annotation
        ann_str = str(ann)
        if "date" in ann_str:
            return "date"
        if "float" in ann_str or "int" in ann_str:
            return "number"
        if "List" in ann_str or "list" in ann_str:
            return "multi_select"
        if "bool" in ann_str:
            return "checkbox"
        return "rich_text"

    expected: dict = {}
    # Identify fields that must be treated as Notion title when descriptions don't specify it
    forced_title_fields = {"name"} if model is FoodInventoryItem else set()

    for fname, finfo in fields.items():
        if fname in {"id", "url"}:
            continue  # not database properties
        notion_name = to_title(fname)
        notion_type = parse_notion_type(getattr(finfo, "description", None), fname)
        if fname in forced_title_fields:
            notion_type = "title"
        # Required if title
        expected[notion_name] = {"type": notion_type, "required": notion_type == "title"}
    return expected


def verify_database_schema(database_id: str | None = None, db_kind: str = "inventory"):
    """Verify the database schema matches FoodWise expectations."""

    # Resolve database id from env if not provided
    env_key = "NOTION_INVENTORY_DB_ID" if db_kind == "inventory" else "NOTION_SHOPPING_DB_ID"
    database_id = database_id or os.getenv(env_key)
    if not database_id:
        print(f"❌ {env_key} not found in environment and no ID was provided")
        return False

    model: Type[Any] = FoodInventoryItem if db_kind == "inventory" else ShoppingListItem
    expected_properties = _expected_properties_from_model(model)

    try:
        notion_secret = os.getenv("NOTION_SECRET")
        if not notion_secret:
            print("❌ NOTION_SECRET not found in environment")
            return False
        client = Client(auth=notion_secret)

        print(f"🔍 Retrieving database schema for ID: {database_id}")
        database = cast(Dict[str, Any], client.databases.retrieve(database_id))
        
        database_title = "Unknown"
        if database.get("title") and len(database["title"]) > 0:
            database_title = database["title"][0]["text"]["content"]
        
        print(f"📊 Database: {database_title}")
        print(f"🔗 URL: {database['url']}")
        
        actual_properties = database.get("properties", {})
        print(f"\n📋 Found {len(actual_properties)} properties in database")

        # Normalize names so minor punctuation/case diffs don't flag as missing/unexpected
        def _norm(label: str) -> str:
            return "".join(ch for ch in label.lower() if ch.isalnum())
        actual_norm_to_name: Dict[str, str] = {_norm(n): n for n in actual_properties.keys()}
        
        # Check each expected property
        print("\n" + "=" * 60)
        print(f"🔍 {db_kind.upper()} SCHEMA CHECK")
        print("=" * 60)
        
        missing_required = []
        missing_optional = []
        type_mismatches = []
        correct_properties = []
        
        for prop_name, expected in expected_properties.items():
            actual_key = actual_norm_to_name.get(_norm(prop_name))
            if actual_key is None:
                if expected.get("required"):
                    missing_required.append(prop_name)
                else:
                    missing_optional.append(prop_name)
                print(f"❌ MISSING: {prop_name} ({expected['type']})")
                continue

            actual_prop = actual_properties[actual_key]
            actual_type = actual_prop["type"]
            expected_type = expected["type"]
            
            if actual_type == expected_type:
                correct_properties.append(prop_name)
            else:
                type_mismatches.append((prop_name, expected_type, actual_type))
                print(f"❌ TYPE MISMATCH: {prop_name} (expected: {expected_type}, actual: {actual_type})")
        
        # Check for unexpected properties
        expected_norms = {_norm(n) for n in expected_properties.keys()}
        unexpected_properties = [prop for prop in actual_properties if _norm(prop) not in expected_norms]
        
        print("\n" + "-" * 60)
        print("📊 SUMMARY")
        print(
            f"  Correct: {len(correct_properties)} | Missing required: {len(missing_required)} | "
            f"Missing optional: {len(missing_optional)} | Mismatches: {len(type_mismatches)} | Unexpected: {len(unexpected_properties)}"
        )
        
        if unexpected_properties:
            print(f"\n🔍 Unexpected properties found:")
            for prop in unexpected_properties[:5]:  # Show first 5
                actual_type = actual_properties[prop]["type"]
                print(f"   • {prop} ({actual_type})")
            if len(unexpected_properties) > 5:
                print(f"   ... and {len(unexpected_properties) - 5} more")
        
        # Overall assessment
        if not missing_required and not type_mismatches:
            print(f"\n🎉 SCHEMA VERIFICATION PASSED!")
            print(f"   Your database is fully compatible with FoodWise!")
            print(f"\n💡 Next step: Add this to your .env file:")
            print(f"   {env_key}={database_id}")
            return True
        else:
            print(f"\n⚠️  SCHEMA ISSUES DETECTED")
            if missing_required:
                print(f"   Missing {len(missing_required)} required properties")
            if missing_optional:
                print(f"   Missing {len(missing_optional)} optional properties")
            if type_mismatches:
                print(f"   {len(type_mismatches)} properties have incorrect types")
            print(f"\n🔧 You may need to update your Notion database schema")
            return False
            
    except Exception as e:
        print(f"❌ Failed to verify schema: {e}")
        return False


if __name__ == "__main__":
    print("🍽️ FoodWise Schema Verification")
    print("=" * 40)

    parser = argparse.ArgumentParser(description="Verify Notion DB schema against FoodWise models")
    parser.add_argument("database_id", nargs="?", help="Override database ID for the selected DB kind")
    parser.add_argument("--db", choices=["inventory", "shopping", "all"], default="all", help="Which schema to verify")
    args = parser.parse_args()

    def run_one(kind: str) -> bool:
        env_key_local = "NOTION_INVENTORY_DB_ID" if kind == "inventory" else "NOTION_SHOPPING_DB_ID"
        env_db_id_local = os.getenv(env_key_local)
        target_local = args.database_id if args.db != "all" else env_db_id_local
        if not target_local:
            print(f"🎯 {kind}: set {env_key_local} or pass DB_ID when using --db {kind}")
        return verify_database_schema(target_local, db_kind=kind)

    if args.db == "all":
        ok_inv = run_one("inventory")
        ok_shop = run_one("shopping")
        if ok_inv and ok_shop:
            print("\n✅ Both schemas look compatible.")
            sys.exit(0)
        print("\n❌ One or more schema checks failed.")
        sys.exit(1)
    else:
        success = run_one(args.db)
        if success:
            print("\n✅ Schema looks compatible.")
            sys.exit(0)
        print("\n❌ Schema check failed.")
        sys.exit(1)