# Auto-generated repositories
from __future__ import annotations

from base_repository import BaseRepository
from entities import Brand, Deal, TrendingDeal, User, UserActivity, UserWatch
from typing import Any


class DealRepository(BaseRepository[Deal]):
    """Repository for Deal entity operations"""

    def __init__(self, table_name: str = 'Deals'):
        super().__init__(Deal, table_name, 'deal_id', None)

    # Basic CRUD Operations (Generated)
    def create_deal(self, deal: Deal) -> Deal:
        """Create a new deal"""
        return self.create(deal)

    def get_deal(self, deal_id: str) -> Deal | None:
        """Get a deal by key"""
        pk = Deal.build_pk_for_lookup(deal_id)

        return self.get(pk, None, consistent_read=True)

    def update_deal(self, deal: Deal) -> Deal:
        """Update an existing deal"""
        return self.update(deal)

    def delete_deal(self, deal_id: str) -> bool:
        """Delete a deal"""
        pk = Deal.build_pk_for_lookup(deal_id)
        return self.delete(pk, None)

    def put_deal(self, deal: Deal) -> Deal | None:
        """Put (upsert) a new deal"""
        # TODO: Implement Access Pattern #2
        # Operation: PutItem | Index: Main Table
        #
        # Main Table PutItem Example:
        # PutItem access pattern - unconditional upsert (no version checking)
        # Creates if not exists, overwrites if exists
        # self.table.put_item(Item=deal.model_dump())
        # return deal
        pass

    def get_deals_by_brand(
        self,
        brand_id: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[Deal], dict | None]:
        """Get all deals for a brand sorted by creation date

        Projection: ALL
        All entity attributes are available.

        Args:
            brand_id: Brand id
            limit: Maximum items per page (default: 100)
            exclusive_start_key: Continuation token from previous page
            skip_invalid_items: If True, skip items that fail deserialization and continue. If False, raise exception on validation errors.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #3
        # Operation: Query | Index: DealsByBrand (GSI)
        #
        # gsi_pk = Deal.build_gsi_pk_for_lookup_deals_by_brand(brand_id)
        # query_params = {
        #     'IndexName': 'DealsByBrand',
        #     'KeyConditionExpression': Key('brand_id').eq(gsi_pk),
        #     'Limit': limit
        # }
        # if exclusive_start_key:
        #     query_params['ExclusiveStartKey'] = exclusive_start_key
        # response = self.table.query(**query_params)
        # return self._parse_query_response(response, skip_invalid_items)
        pass

    def get_deals_by_category(
        self,
        category_id: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[dict[str, Any]], dict | None]:
        """Get all deals for a category sorted by creation date

        Projection: INCLUDE
        Projected Attributes: title, price, brand_name

        Returns dict because required fields not in projection: description, brand_id, category_name, status
        Use dict keys to access values: result[0]['title']

        To return typed Deal entities, either:
          1. Add these fields to included_attributes: ['description', 'brand_id', 'category_name', 'status']
          2. Make these fields optional (required: false)

        Args:
            category_id: Category id
            limit: Maximum items per page (default: 100)
            exclusive_start_key: Continuation token from previous page
            skip_invalid_items: If True, skip items that fail deserialization and continue. If False, raise exception on validation errors.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #4
        # Operation: Query | Index: DealsByCategory (GSI)
        #
        # gsi_pk = Deal.build_gsi_pk_for_lookup_deals_by_category(category_id)
        # query_params = {
        #     'IndexName': 'DealsByCategory',
        #     'KeyConditionExpression': Key('category_id').eq(gsi_pk),
        #     'Limit': limit
        # }
        # if exclusive_start_key:
        #     query_params['ExclusiveStartKey'] = exclusive_start_key
        # response = self.table.query(**query_params)
        # return self._parse_query_response(response, skip_invalid_items)
        pass

    def get_recent_deals_by_brand(
        self,
        brand_id: str,
        since_date: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[Deal], dict | None]:
        """Get recent deals for a brand after a specific date

        Projection: ALL
        All entity attributes are available.

        Args:
            brand_id: Brand id
            since_date: Since date
            limit: Maximum items per page (default: 100)
            exclusive_start_key: Continuation token from previous page
            skip_invalid_items: If True, skip items that fail deserialization and continue. If False, raise exception on validation errors.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #5
        # Operation: Query | Index: DealsByBrand (GSI) | Range Condition: >=
        # Note: '>=' requires 1 parameter for the range condition
        #
        # gsi_pk = Deal.build_gsi_pk_for_lookup_deals_by_brand(brand_id)
        # query_params = {
        #     'IndexName': 'DealsByBrand',
        #     'KeyConditionExpression': Key('brand_id').eq(gsi_pk) & Key('created_at').>=(since_date),
        #     'Limit': limit
        # }
        # if exclusive_start_key:
        #     query_params['ExclusiveStartKey'] = exclusive_start_key
        # response = self.table.query(**query_params)
        # return self._parse_query_response(response, skip_invalid_items)
        pass


class UserRepository(BaseRepository[User]):
    """Repository for User entity operations"""

    def __init__(self, table_name: str = 'Users'):
        super().__init__(User, table_name, 'user_id', None)

    # Basic CRUD Operations (Generated)
    def create_user(self, user: User) -> User:
        """Create a new user"""
        return self.create(user)

    def get_user(self, user_id: str) -> User | None:
        """Get a user by key"""
        pk = User.build_pk_for_lookup(user_id)

        return self.get(pk, None)

    def update_user(self, user: User) -> User:
        """Update an existing user"""
        return self.update(user)

    def delete_user(self, user_id: str) -> bool:
        """Delete a user"""
        pk = User.build_pk_for_lookup(user_id)
        return self.delete(pk, None)

    def put_user(self, user: User) -> User | None:
        """Put (upsert) a new user account"""
        # TODO: Implement Access Pattern #7
        # Operation: PutItem | Index: Main Table
        #
        # Main Table PutItem Example:
        # PutItem access pattern - unconditional upsert (no version checking)
        # Creates if not exists, overwrites if exists
        # self.table.put_item(Item=user.model_dump())
        # return user
        pass


class BrandRepository(BaseRepository[Brand]):
    """Repository for Brand entity operations"""

    def __init__(self, table_name: str = 'Brands'):
        super().__init__(Brand, table_name, 'brand_id', None)

    # Basic CRUD Operations (Generated)
    def create_brand(self, brand: Brand) -> Brand:
        """Create a new brand"""
        return self.create(brand)

    def get_brand(self, brand_id: str) -> Brand | None:
        """Get a brand by key"""
        pk = Brand.build_pk_for_lookup(brand_id)

        return self.get(pk, None)

    def update_brand(self, brand: Brand) -> Brand:
        """Update an existing brand"""
        return self.update(brand)

    def delete_brand(self, brand_id: str) -> bool:
        """Delete a brand"""
        pk = Brand.build_pk_for_lookup(brand_id)
        return self.delete(pk, None)

    def put_brand(self, brand: Brand) -> Brand | None:
        """Put (upsert) a new brand"""
        # TODO: Implement Access Pattern #9
        # Operation: PutItem | Index: Main Table
        #
        # Main Table PutItem Example:
        # PutItem access pattern - unconditional upsert (no version checking)
        # Creates if not exists, overwrites if exists
        # self.table.put_item(Item=brand.model_dump())
        # return brand
        pass


class UserWatchRepository(BaseRepository[UserWatch]):
    """Repository for UserWatch entity operations"""

    def __init__(self, table_name: str = 'UserWatches'):
        super().__init__(UserWatch, table_name, 'user_id', 'watch_key')

    # Basic CRUD Operations (Generated)
    def create_user_watch(self, user_watch: UserWatch) -> UserWatch:
        """Create a new user_watch"""
        return self.create(user_watch)

    def get_user_watch(self, user_id: str, watch_key: str) -> UserWatch | None:
        """Get a user_watch by key"""
        pk = UserWatch.build_pk_for_lookup(user_id)
        sk = UserWatch.build_sk_for_lookup(watch_key)
        return self.get(pk, sk)

    def update_user_watch(self, user_watch: UserWatch) -> UserWatch:
        """Update an existing user_watch"""
        return self.update(user_watch)

    def delete_user_watch(self, user_id: str, watch_key: str) -> bool:
        """Delete a user_watch"""
        pk = UserWatch.build_pk_for_lookup(user_id)
        sk = UserWatch.build_sk_for_lookup(watch_key)
        return self.delete(pk, sk)

    def get_user_watches(
        self,
        user_id: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[UserWatch], dict | None]:
        """Get all watches for a user

        Args:
            user_id: User id
            limit: Maximum items per page (default: 100)
            exclusive_start_key: Continuation token from previous page
            skip_invalid_items: If True, skip items that fail deserialization and continue. If False, raise exception on validation errors.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #10
        # Operation: Query | Index: Main Table
        #
        # Main Table Query Example:
        # pk = UserWatch.build_pk_for_lookup(user_id)
        # query_params = {
        #     'KeyConditionExpression': Key('user_id').eq(pk) & Key('watch_key').eq(sk),
        #     'Limit': limit
        # }
        # if exclusive_start_key:
        #     query_params['ExclusiveStartKey'] = exclusive_start_key
        # response = self.table.query(**query_params)
        # return self._parse_query_response(response, skip_invalid_items)
        pass

    def get_brand_watchers(
        self,
        brand_id: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[dict[str, Any]], dict | None]:
        """Get all users watching a specific brand

        Projection: KEYS_ONLY
        Returns dict with keys: brand_id, user_id, user_id, watch_key
        Note: Returns dict because only key attributes are projected.

        Args:
            brand_id: Brand id
            limit: Maximum items per page (default: 100)
            exclusive_start_key: Continuation token from previous page
            skip_invalid_items: If True, skip items that fail deserialization and continue. If False, raise exception on validation errors.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #11
        # Operation: Query | Index: WatchesByBrand (GSI)
        #
        # gsi_pk = UserWatch.build_gsi_pk_for_lookup_watches_by_brand(brand_id)
        # query_params = {
        #     'IndexName': 'WatchesByBrand',
        #     'KeyConditionExpression': Key('brand_id').eq(gsi_pk),
        #     'Limit': limit
        # }
        # if exclusive_start_key:
        #     query_params['ExclusiveStartKey'] = exclusive_start_key
        # response = self.table.query(**query_params)
        # return self._parse_query_response(response, skip_invalid_items)
        pass

    def get_category_watchers(
        self,
        category_id: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[dict[str, Any]], dict | None]:
        """Get all users watching a specific category (partition key only)

        Projection: INCLUDE
        Projected Attributes: user_id, target_name, created_at

        Returns dict because required fields not in projection: watch_type
        Use dict keys to access values: result[0]['user_id']

        To return typed UserWatch entities, either:
          1. Add these fields to included_attributes: ['watch_type']
          2. Make these fields optional (required: false)

        Args:
            category_id: Category id
            limit: Maximum items per page (default: 100)
            exclusive_start_key: Continuation token from previous page
            skip_invalid_items: If True, skip items that fail deserialization and continue. If False, raise exception on validation errors.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #12
        # Operation: Query | Index: WatchesByCategory (GSI)
        #
        # gsi_pk = UserWatch.build_gsi_pk_for_lookup_watches_by_category(category_id)
        # query_params = {
        #     'IndexName': 'WatchesByCategory',
        #     'KeyConditionExpression': Key('category_id').eq(gsi_pk),
        #     'Limit': limit
        # }
        # if exclusive_start_key:
        #     query_params['ExclusiveStartKey'] = exclusive_start_key
        # response = self.table.query(**query_params)
        # return self._parse_query_response(response, skip_invalid_items)
        pass

    def get_watches_by_type(
        self,
        watch_type: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[UserWatch], dict | None]:
        """Get watches by target type

        Projection: INCLUDE
        Projected Attributes: user_id, watch_key, created_at
        Returns UserWatch entities. Non-projected optional fields will be None.

        Args:
            watch_type: Watch type
            limit: Maximum items per page (default: 100)
            exclusive_start_key: Continuation token from previous page
            skip_invalid_items: If True, skip items that fail deserialization and continue. If False, raise exception on validation errors.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #18
        # Operation: Query | Index: WatchesByType (GSI)
        #
        # gsi_pk = UserWatch.build_gsi_pk_for_lookup_watches_by_type(watch_type)
        # query_params = {
        #     'IndexName': 'WatchesByType',
        #     'KeyConditionExpression': Key('watch_type').eq(gsi_pk),
        #     'Limit': limit
        # }
        # if exclusive_start_key:
        #     query_params['ExclusiveStartKey'] = exclusive_start_key
        # response = self.table.query(**query_params)
        # return self._parse_query_response(response, skip_invalid_items)
        pass


class UserActivityRepository(BaseRepository[UserActivity]):
    """Repository for UserActivity entity operations"""

    def __init__(self, table_name: str = 'UserActivities'):
        super().__init__(UserActivity, table_name, 'user_id', 'sk')

    # Basic CRUD Operations (Generated)
    def create_user_activity(self, user_activity: UserActivity) -> UserActivity:
        """Create a new user_activity"""
        return self.create(user_activity)

    def get_user_activity(
        self, user_id: str, timestamp: str, activity_id: str
    ) -> UserActivity | None:
        """Get a user_activity by key"""
        pk = UserActivity.build_pk_for_lookup(user_id)
        sk = UserActivity.build_sk_for_lookup(timestamp, activity_id)
        return self.get(pk, sk)

    def update_user_activity(self, user_activity: UserActivity) -> UserActivity:
        """Update an existing user_activity"""
        return self.update(user_activity)

    def delete_user_activity(self, user_id: str, timestamp: str, activity_id: str) -> bool:
        """Delete a user_activity"""
        pk = UserActivity.build_pk_for_lookup(user_id)
        sk = UserActivity.build_sk_for_lookup(timestamp, activity_id)
        return self.delete(pk, sk)

    def get_user_activities(
        self,
        user_id: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[UserActivity], dict | None]:
        """Get all activities for a user

        Args:
            user_id: User id
            limit: Maximum items per page (default: 100)
            exclusive_start_key: Continuation token from previous page
            skip_invalid_items: If True, skip items that fail deserialization and continue. If False, raise exception on validation errors.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #13
        # Operation: Query | Index: Main Table
        #
        # Main Table Query Example:
        # pk = UserActivity.build_pk_for_lookup(user_id)
        # query_params = {
        #     'KeyConditionExpression': Key('user_id').eq(pk) & Key('sk').eq(sk),
        #     'Limit': limit
        # }
        # if exclusive_start_key:
        #     query_params['ExclusiveStartKey'] = exclusive_start_key
        # response = self.table.query(**query_params)
        # return self._parse_query_response(response, skip_invalid_items)
        pass

    def get_user_activities_after(
        self,
        user_id: str,
        since_timestamp: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[UserActivity], dict | None]:
        """Get user activities after a specific timestamp

        Args:
            user_id: User id
            since_timestamp: Since timestamp
            limit: Maximum items per page (default: 100)
            exclusive_start_key: Continuation token from previous page
            skip_invalid_items: If True, skip items that fail deserialization and continue. If False, raise exception on validation errors.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #14
        # Operation: Query | Index: Main Table | Range Condition: >=
        # Note: '>=' requires 1 parameter for the range condition
        #
        # Main Table Query Example:
        # pk = UserActivity.build_pk_for_lookup(user_id)
        # query_params = {
        #     'KeyConditionExpression': Key('user_id').eq(pk) & Key('sk').>=(since_timestamp),
        #     'Limit': limit
        # }
        # if exclusive_start_key:
        #     query_params['ExclusiveStartKey'] = exclusive_start_key
        # response = self.table.query(**query_params)
        # return self._parse_query_response(response, skip_invalid_items)
        pass


class TrendingDealRepository(BaseRepository[TrendingDeal]):
    """Repository for TrendingDeal entity operations"""

    def __init__(self, table_name: str = 'TrendingDeals'):
        super().__init__(TrendingDeal, table_name, 'category_id', 'engagement_score')

    # Basic CRUD Operations (Generated)
    def create_trending_deal(self, trending_deal: TrendingDeal) -> TrendingDeal:
        """Create a new trending_deal"""
        return self.create(trending_deal)

    def get_trending_deal(self, category_id: str, engagement_score: int) -> TrendingDeal | None:
        """Get a trending_deal by key"""
        pk = TrendingDeal.build_pk_for_lookup(category_id)
        sk = TrendingDeal.build_sk_for_lookup(engagement_score)
        return self.get(pk, sk)

    def update_trending_deal(self, trending_deal: TrendingDeal) -> TrendingDeal:
        """Update an existing trending_deal"""
        return self.update(trending_deal)

    def delete_trending_deal(self, category_id: str, engagement_score: int) -> bool:
        """Delete a trending_deal"""
        pk = TrendingDeal.build_pk_for_lookup(category_id)
        sk = TrendingDeal.build_sk_for_lookup(engagement_score)
        return self.delete(pk, sk)

    def get_trending_by_category(
        self,
        category_id: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[TrendingDeal], dict | None]:
        """Get trending deals for a category sorted by engagement score

        Args:
            category_id: Category id
            limit: Maximum items per page (default: 100)
            exclusive_start_key: Continuation token from previous page
            skip_invalid_items: If True, skip items that fail deserialization and continue. If False, raise exception on validation errors.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #15
        # Operation: Query | Index: Main Table
        #
        # Main Table Query Example:
        # pk = TrendingDeal.build_pk_for_lookup(category_id)
        # query_params = {
        #     'KeyConditionExpression': Key('category_id').eq(pk) & Key('engagement_score').eq(sk),
        #     'Limit': limit
        # }
        # if exclusive_start_key:
        #     query_params['ExclusiveStartKey'] = exclusive_start_key
        # response = self.table.query(**query_params)
        # return self._parse_query_response(response, skip_invalid_items)
        pass

    def get_highly_engaged_deals(
        self,
        category_id: str,
        min_score: int,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[TrendingDeal], dict | None]:
        """Get trending deals with engagement score above threshold

        Args:
            category_id: Category id
            min_score: Min score
            limit: Maximum items per page (default: 100)
            exclusive_start_key: Continuation token from previous page
            skip_invalid_items: If True, skip items that fail deserialization and continue. If False, raise exception on validation errors.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #16
        # Operation: Query | Index: Main Table | Range Condition: >=
        # Note: '>=' requires 1 parameter for the range condition
        #
        # Main Table Query Example:
        # pk = TrendingDeal.build_pk_for_lookup(category_id)
        # query_params = {
        #     'KeyConditionExpression': Key('category_id').eq(pk) & Key('engagement_score').>=(min_score),
        #     'Limit': limit
        # }
        # if exclusive_start_key:
        #     query_params['ExclusiveStartKey'] = exclusive_start_key
        # response = self.table.query(**query_params)
        # return self._parse_query_response(response, skip_invalid_items)
        pass

    def get_high_discount_deals(
        self,
        brand_id: str,
        min_discount: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[TrendingDeal], dict | None]:
        """Get deals by brand with high discount percentage

        Projection: ALL
        All entity attributes are available.

        Args:
            brand_id: Brand id
            min_discount: Min discount
            limit: Maximum items per page (default: 100)
            exclusive_start_key: Continuation token from previous page
            skip_invalid_items: If True, skip items that fail deserialization and continue. If False, raise exception on validation errors.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #17
        # Operation: Query | Index: TrendingByDiscount (GSI) | Range Condition: >=
        # Note: '>=' requires 1 parameter for the range condition
        #
        # gsi_pk = TrendingDeal.build_gsi_pk_for_lookup_trending_by_discount(brand_id)
        # query_params = {
        #     'IndexName': 'TrendingByDiscount',
        #     'KeyConditionExpression': Key('brand_id').eq(gsi_pk) & Key('discount_percentage').>=(min_discount),
        #     'Limit': limit
        # }
        # if exclusive_start_key:
        #     query_params['ExclusiveStartKey'] = exclusive_start_key
        # response = self.table.query(**query_params)
        # return self._parse_query_response(response, skip_invalid_items)
        pass
