# Auto-generated repositories
from __future__ import annotations

from base_repository import BaseRepository
from decimal import Decimal
from entities import Delivery, DeliveryEvent, Driver, Restaurant


class DeliveryRepository(BaseRepository[Delivery]):
    """Repository for Delivery entity operations"""

    def __init__(self, table_name: str = 'DeliveryTable'):
        super().__init__(Delivery, table_name, 'pk', 'sk')

    # Basic CRUD Operations (Generated)
    def create_delivery(self, delivery: Delivery) -> Delivery:
        """Create a new delivery"""
        return self.create(delivery)

    def get_delivery(self, customer_id: str, order_date: str, delivery_id: str) -> Delivery | None:
        """Get a delivery by key"""
        pk = Delivery.build_pk_for_lookup(customer_id)
        sk = Delivery.build_sk_for_lookup(order_date, delivery_id)
        return self.get(pk, sk)

    def update_delivery(self, delivery: Delivery) -> Delivery:
        """Update an existing delivery"""
        return self.update(delivery)

    def delete_delivery(self, customer_id: str, order_date: str, delivery_id: str) -> bool:
        """Delete a delivery"""
        pk = Delivery.build_pk_for_lookup(customer_id)
        sk = Delivery.build_sk_for_lookup(order_date, delivery_id)
        return self.delete(pk, sk)

    def get_active_customer_deliveries(
        self,
        customer_id: str,
        min_total: Decimal,
        excluded_status: str = 'CANCELLED',
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[Delivery], dict | None]:
        """Get non-cancelled deliveries for a customer with minimum total

        Args:
            customer_id: Customer id
            excluded_status: Excluded status
            min_total: Min total
            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.

        Filter Expression: #status <> :excluded_status AND #total >= :min_total
        Note: Filter expressions are applied AFTER data is read from DynamoDB.
        Read capacity is consumed based on items read, not items returned.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #2
        # Operation: Query | Index: Main Table | Filter Expression: #status <> :excluded_status AND #total >= :min_total
        #
        # Filter Expression Implementation:
        #     'FilterExpression': '#status <> :excluded_status AND #total >= :min_total',
        #     'ExpressionAttributeNames': {
        #         '#status': 'status',
        #         '#total': 'total',
        #     },
        #     'ExpressionAttributeValues': {
        #         ':excluded_status': excluded_status,
        #         ':min_total': min_total,
        #     },
        #
        # Main Table Query Example:
        # pk = Delivery.build_pk_for_lookup(customer_id)
        # query_params = {
        #     'KeyConditionExpression': Key('pk').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_customer_deliveries_by_fee_range(
        self,
        customer_id: str,
        min_fee: Decimal,
        max_fee: Decimal,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[Delivery], dict | None]:
        """Get deliveries for a customer within a delivery fee range

        Args:
            customer_id: Customer id
            min_fee: Min fee
            max_fee: Max fee
            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.

        Filter Expression: #delivery_fee BETWEEN :min_fee AND :max_fee
        Note: Filter expressions are applied AFTER data is read from DynamoDB.
        Read capacity is consumed based on items read, not items returned.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #3
        # Operation: Query | Index: Main Table | Filter Expression: #delivery_fee BETWEEN :min_fee AND :max_fee
        #
        # Filter Expression Implementation:
        #     'FilterExpression': '#delivery_fee BETWEEN :min_fee AND :max_fee',
        #     'ExpressionAttributeNames': {
        #         '#delivery_fee': 'delivery_fee',
        #     },
        #     'ExpressionAttributeValues': {
        #         ':min_fee': min_fee,
        #         ':max_fee': max_fee,
        #     },
        #
        # Main Table Query Example:
        # pk = Delivery.build_pk_for_lookup(customer_id)
        # query_params = {
        #     'KeyConditionExpression': Key('pk').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_customer_deliveries_by_status(
        self,
        customer_id: str,
        status1: str,
        status2: str,
        status3: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[Delivery], dict | None]:
        """Get deliveries for a customer matching specific statuses

        Args:
            customer_id: Customer id
            status1: Status1
            status2: Status2
            status3: Status3
            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.

        Filter Expression: #status IN (:status1, :status2, :status3)
        Note: Filter expressions are applied AFTER data is read from DynamoDB.
        Read capacity is consumed based on items read, not items returned.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #4
        # Operation: Query | Index: Main Table | Filter Expression: #status IN (:status1, :status2, :status3)
        #
        # Filter Expression Implementation:
        #     'FilterExpression': '#status IN (:status1, :status2, :status3)',
        #     'ExpressionAttributeNames': {
        #         '#status': 'status',
        #     },
        #     'ExpressionAttributeValues': {
        #         ':status1': status1,
        #         ':status2': status2,
        #         ':status3': status3,
        #     },
        #
        # Main Table Query Example:
        # pk = Delivery.build_pk_for_lookup(customer_id)
        # query_params = {
        #     'KeyConditionExpression': Key('pk').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_deliveries_with_special_instructions(
        self,
        customer_id: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[Delivery], dict | None]:
        """Get deliveries that have special instructions and are not cancelled

        Args:
            customer_id: Customer 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.

        Filter Expression: attribute_exists(#special_instructions) AND attribute_not_exists(#cancelled_at)
        Note: Filter expressions are applied AFTER data is read from DynamoDB.
        Read capacity is consumed based on items read, not items returned.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #5
        # Operation: Query | Index: Main Table | Filter Expression: attribute_exists(#special_instructions) AND attribute_not_exists(#cancelled_at)
        #
        # Filter Expression Implementation:
        #     'FilterExpression': 'attribute_exists(#special_instructions) AND attribute_not_exists(#cancelled_at)',
        #     'ExpressionAttributeNames': {
        #         '#special_instructions': 'special_instructions',
        #         '#cancelled_at': 'cancelled_at',
        #     },
        #     'ExpressionAttributeValues': {
        #
        #
        #     },
        #
        # Main Table Query Example:
        # pk = Delivery.build_pk_for_lookup(customer_id)
        # query_params = {
        #     'KeyConditionExpression': Key('pk').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_deliveries_with_min_items(
        self,
        customer_id: str,
        min_items: int,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[Delivery], dict | None]:
        """Get deliveries with more than a minimum number of items

        Args:
            customer_id: Customer id
            min_items: Min items
            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.

        Filter Expression: size(#items) > :min_items
        Note: Filter expressions are applied AFTER data is read from DynamoDB.
        Read capacity is consumed based on items read, not items returned.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #6
        # Operation: Query | Index: Main Table | Filter Expression: size(#items) > :min_items
        #
        # Filter Expression Implementation:
        #     'FilterExpression': 'size(#items) > :min_items',
        #     'ExpressionAttributeNames': {
        #         '#items': 'items',
        #     },
        #     'ExpressionAttributeValues': {
        #         ':min_items': min_items,
        #     },
        #
        # Main Table Query Example:
        # pk = Delivery.build_pk_for_lookup(customer_id)
        # query_params = {
        #     'KeyConditionExpression': Key('pk').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_deliveries_with_items_in_range(
        self,
        customer_id: str,
        min_count: int,
        max_count: int,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[Delivery], dict | None]:
        """Get deliveries with item count within a range

        Args:
            customer_id: Customer id
            min_count: Min count
            max_count: Max count
            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.

        Filter Expression: size(#items) BETWEEN :min_count AND :max_count
        Note: Filter expressions are applied AFTER data is read from DynamoDB.
        Read capacity is consumed based on items read, not items returned.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #7
        # Operation: Query | Index: Main Table | Filter Expression: size(#items) BETWEEN :min_count AND :max_count
        #
        # Filter Expression Implementation:
        #     'FilterExpression': 'size(#items) BETWEEN :min_count AND :max_count',
        #     'ExpressionAttributeNames': {
        #         '#items': 'items',
        #     },
        #     'ExpressionAttributeValues': {
        #         ':min_count': min_count,
        #         ':max_count': max_count,
        #     },
        #
        # Main Table Query Example:
        # pk = Delivery.build_pk_for_lookup(customer_id)
        # query_params = {
        #     'KeyConditionExpression': Key('pk').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_high_value_active_deliveries(
        self,
        customer_id: str,
        min_total: Decimal,
        min_tip: Decimal,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[Delivery], dict | None]:
        """Get active deliveries with high total or generous tip

        Args:
            customer_id: Customer id
            min_total: Min total
            min_tip: Min tip
            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.

        Filter Expression: #total >= :min_total OR #tip >= :min_tip
        Note: Filter expressions are applied AFTER data is read from DynamoDB.
        Read capacity is consumed based on items read, not items returned.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #8
        # Operation: Query | Index: Main Table | Filter Expression: #total >= :min_total OR #tip >= :min_tip
        #
        # Filter Expression Implementation:
        #     'FilterExpression': '#total >= :min_total OR #tip >= :min_tip',
        #     'ExpressionAttributeNames': {
        #         '#total': 'total',
        #         '#tip': 'tip',
        #     },
        #     'ExpressionAttributeValues': {
        #         ':min_total': min_total,
        #         ':min_tip': min_tip,
        #     },
        #
        # Main Table Query Example:
        # pk = Delivery.build_pk_for_lookup(customer_id)
        # query_params = {
        #     'KeyConditionExpression': Key('pk').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 put_delivery(self, delivery: Delivery) -> Delivery | None:
        """Put (upsert) a new delivery"""
        # 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=delivery.model_dump())
        # return delivery
        pass


class DeliveryEventRepository(BaseRepository[DeliveryEvent]):
    """Repository for DeliveryEvent entity operations"""

    def __init__(self, table_name: str = 'DeliveryTable'):
        super().__init__(DeliveryEvent, table_name, 'pk', 'sk')

    # Basic CRUD Operations (Generated)
    def create_delivery_event(self, delivery_event: DeliveryEvent) -> DeliveryEvent:
        """Create a new delivery_event"""
        return self.create(delivery_event)

    def get_delivery_event(
        self, delivery_id: str, event_timestamp: str, event_id: str
    ) -> DeliveryEvent | None:
        """Get a delivery_event by key"""
        pk = DeliveryEvent.build_pk_for_lookup(delivery_id)
        sk = DeliveryEvent.build_sk_for_lookup(event_timestamp, event_id)
        return self.get(pk, sk)

    def update_delivery_event(self, delivery_event: DeliveryEvent) -> DeliveryEvent:
        """Update an existing delivery_event"""
        return self.update(delivery_event)

    def delete_delivery_event(self, delivery_id: str, event_timestamp: str, event_id: str) -> bool:
        """Delete a delivery_event"""
        pk = DeliveryEvent.build_pk_for_lookup(delivery_id)
        sk = DeliveryEvent.build_sk_for_lookup(event_timestamp, event_id)
        return self.delete(pk, sk)

    def get_delivery_events(
        self,
        delivery_id: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[DeliveryEvent], dict | None]:
        """Get all events for a delivery

        Args:
            delivery_id: Delivery 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 = DeliveryEvent.build_pk_for_lookup(delivery_id)
        # query_params = {
        #     'KeyConditionExpression': Key('pk').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_delivery_events_by_type(
        self,
        delivery_id: str,
        type_prefix: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[DeliveryEvent], dict | None]:
        """Get delivery events matching a specific event type prefix

        Args:
            delivery_id: Delivery id
            type_prefix: Type prefix
            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.

        Filter Expression: begins_with(#event_type, :type_prefix)
        Note: Filter expressions are applied AFTER data is read from DynamoDB.
        Read capacity is consumed based on items read, not items returned.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #11
        # Operation: Query | Index: Main Table | Filter Expression: begins_with(#event_type, :type_prefix)
        #
        # Filter Expression Implementation:
        #     'FilterExpression': 'begins_with(#event_type, :type_prefix)',
        #     'ExpressionAttributeNames': {
        #         '#event_type': 'event_type',
        #     },
        #     'ExpressionAttributeValues': {
        #         ':type_prefix': type_prefix,
        #     },
        #
        # Main Table Query Example:
        # pk = DeliveryEvent.build_pk_for_lookup(delivery_id)
        # query_params = {
        #     'KeyConditionExpression': Key('pk').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


class RestaurantRepository(BaseRepository[Restaurant]):
    """Repository for Restaurant entity operations"""

    def __init__(self, table_name: str = 'RestaurantTable'):
        super().__init__(Restaurant, table_name, 'pk', 'sk')

    # Basic CRUD Operations (Generated)
    def create_restaurant(self, restaurant: Restaurant) -> Restaurant:
        """Create a new restaurant"""
        return self.create(restaurant)

    def get_restaurant(self, restaurant_id: str) -> Restaurant | None:
        """Get a restaurant by key"""
        pk = Restaurant.build_pk_for_lookup(restaurant_id)
        sk = Restaurant.build_sk_for_lookup()
        return self.get(pk, sk)

    def update_restaurant(self, restaurant: Restaurant) -> Restaurant:
        """Update an existing restaurant"""
        return self.update(restaurant)

    def delete_restaurant(self, restaurant_id: str) -> bool:
        """Delete a restaurant"""
        pk = Restaurant.build_pk_for_lookup(restaurant_id)
        sk = Restaurant.build_sk_for_lookup()
        return self.delete(pk, sk)

    def scan_restaurants_by_cuisine(
        self,
        cuisine_keyword: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[Restaurant], dict | None]:
        """Scan restaurants filtering by cuisine type containing a keyword

        Args:
            cuisine_keyword: Cuisine keyword
            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.

        Filter Expression: contains(#cuisine_type, :cuisine_keyword)
        Note: Filter expressions are applied AFTER data is read from DynamoDB.
        Read capacity is consumed based on items read, not items returned.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #13
        # Operation: Scan | Index: Main Table | Filter Expression: contains(#cuisine_type, :cuisine_keyword)
        #
        # Filter Expression Implementation:
        #     'FilterExpression': 'contains(#cuisine_type, :cuisine_keyword)',
        #     'ExpressionAttributeNames': {
        #         '#cuisine_type': 'cuisine_type',
        #     },
        #     'ExpressionAttributeValues': {
        #         ':cuisine_keyword': cuisine_keyword,
        #     },
        #
        # Main Table Scan Example:
        # scan_params = {'Limit': limit}
        # scan_params['FilterExpression'] = Attr('cuisine_keyword').eq(cuisine_keyword)
        # if exclusive_start_key:
        #     scan_params['ExclusiveStartKey'] = exclusive_start_key
        # response = self.table.scan(**scan_params)
        # return self._parse_query_response(response, skip_invalid_items)
        pass

    def scan_high_rated_active_restaurants(
        self,
        min_rating: Decimal,
        active_status: bool = True,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[Restaurant], dict | None]:
        """Scan for active restaurants with rating above threshold

        Args:
            min_rating: Min rating
            active_status: Active status
            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.

        Filter Expression: #rating >= :min_rating AND #is_active = :active_status
        Note: Filter expressions are applied AFTER data is read from DynamoDB.
        Read capacity is consumed based on items read, not items returned.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #14
        # Operation: Scan | Index: Main Table | Filter Expression: #rating >= :min_rating AND #is_active = :active_status
        #
        # Filter Expression Implementation:
        #     'FilterExpression': '#rating >= :min_rating AND #is_active = :active_status',
        #     'ExpressionAttributeNames': {
        #         '#rating': 'rating',
        #         '#is_active': 'is_active',
        #     },
        #     'ExpressionAttributeValues': {
        #         ':min_rating': min_rating,
        #         ':active_status': active_status,
        #     },
        #
        # Main Table Scan Example:
        # scan_params = {'Limit': limit}
        # scan_params['FilterExpression'] = Attr('min_rating').eq(min_rating)
        # if exclusive_start_key:
        #     scan_params['ExclusiveStartKey'] = exclusive_start_key
        # response = self.table.scan(**scan_params)
        # return self._parse_query_response(response, skip_invalid_items)
        pass


class DriverRepository(BaseRepository[Driver]):
    """Repository for Driver entity operations"""

    def __init__(self, table_name: str = 'DriverTable'):
        super().__init__(Driver, table_name, 'pk', None)

    # Basic CRUD Operations (Generated)
    def create_driver(self, driver: Driver) -> Driver:
        """Create a new driver"""
        return self.create(driver)

    def get_driver(self, driver_id: str) -> Driver | None:
        """Get a driver by key"""
        pk = Driver.build_pk_for_lookup(driver_id)

        return self.get(pk, None)

    def update_driver(self, driver: Driver) -> Driver:
        """Update an existing driver"""
        return self.update(driver)

    def delete_driver(self, driver_id: str) -> bool:
        """Delete a driver"""
        pk = Driver.build_pk_for_lookup(driver_id)
        return self.delete(pk, None)

    def scan_drivers_by_skill(
        self,
        skill_tag: str,
        name_prefix: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[Driver], dict | None]:
        """Scan drivers filtering by a skill tag and name prefix

        Args:
            skill_tag: Skill tag
            name_prefix: Name prefix
            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.

        Filter Expression: contains(#tags, :skill_tag) AND begins_with(#name, :name_prefix)
        Note: Filter expressions are applied AFTER data is read from DynamoDB.
        Read capacity is consumed based on items read, not items returned.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #16
        # Operation: Scan | Index: Main Table | Filter Expression: contains(#tags, :skill_tag) AND begins_with(#name, :name_prefix)
        #
        # Filter Expression Implementation:
        #     'FilterExpression': 'contains(#tags, :skill_tag) AND begins_with(#name, :name_prefix)',
        #     'ExpressionAttributeNames': {
        #         '#tags': 'tags',
        #         '#name': 'name',
        #     },
        #     'ExpressionAttributeValues': {
        #         ':skill_tag': skill_tag,
        #         ':name_prefix': name_prefix,
        #     },
        #
        # Main Table Scan Example:
        # scan_params = {'Limit': limit}
        # scan_params['FilterExpression'] = Attr('skill_tag').eq(skill_tag)
        # if exclusive_start_key:
        #     scan_params['ExclusiveStartKey'] = exclusive_start_key
        # response = self.table.scan(**scan_params)
        # return self._parse_query_response(response, skip_invalid_items)
        pass

    def scan_available_experienced_drivers(
        self,
        min_deliveries: int,
        min_rating: Decimal,
        available_flag: bool = True,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[Driver], dict | None]:
        """Scan for available drivers with minimum deliveries and rating

        Args:
            available_flag: Available flag
            min_deliveries: Min deliveries
            min_rating: Min rating
            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.

        Filter Expression: #is_available = :available_flag AND #total_deliveries >= :min_deliveries AND #rating >= :min_rating
        Note: Filter expressions are applied AFTER data is read from DynamoDB.
        Read capacity is consumed based on items read, not items returned.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #17
        # Operation: Scan | Index: Main Table | Filter Expression: #is_available = :available_flag AND #total_deliveries >= :min_deliveries AND #rating >= :min_rating
        #
        # Filter Expression Implementation:
        #     'FilterExpression': '#is_available = :available_flag AND #total_deliveries >= :min_deliveries AND #rating >= :min_rating',
        #     'ExpressionAttributeNames': {
        #         '#is_available': 'is_available',
        #         '#total_deliveries': 'total_deliveries',
        #         '#rating': 'rating',
        #     },
        #     'ExpressionAttributeValues': {
        #         ':available_flag': available_flag,
        #         ':min_deliveries': min_deliveries,
        #         ':min_rating': min_rating,
        #     },
        #
        # Main Table Scan Example:
        # scan_params = {'Limit': limit}
        # scan_params['FilterExpression'] = Attr('available_flag').eq(available_flag)
        # if exclusive_start_key:
        #     scan_params['ExclusiveStartKey'] = exclusive_start_key
        # response = self.table.scan(**scan_params)
        # return self._parse_query_response(response, skip_invalid_items)
        pass
