# Auto-generated repositories
from __future__ import annotations

from base_repository import BaseRepository
from entities import User


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

    def __init__(self, table_name: str = 'UserAnalytics'):
        super().__init__(User, table_name, 'pk', 'sk')

    # 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)
        sk = User.build_sk_for_lookup()
        return self.get(pk, sk)

    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)
        sk = User.build_sk_for_lookup()
        return self.delete(pk, sk)

    def get_active_users(
        self,
        status: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[User], dict | None]:
        """Get users by status

        Projection: ALL
        All entity attributes are available.

        Args:
            status: 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.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #2
        # Operation: Query | Index: StatusIndex (GSI)
        #
        # gsi_pk = User.build_gsi_pk_for_lookup_status_index(status)
        # query_params = {
        #     'IndexName': 'StatusIndex',
        #     'KeyConditionExpression': Key('status_pk').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_active_users(
        self,
        status: str,
        since_date: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[User], dict | None]:
        """Get recently active users by status

        Projection: ALL
        All entity attributes are available.

        Args:
            status: Status
            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 #3
        # Operation: Query | Index: StatusIndex (GSI) | Range Condition: >=
        # Note: '>=' requires 1 parameter for the range condition
        #
        # gsi_pk = User.build_gsi_pk_for_lookup_status_index(status)
        # query_params = {
        #     'IndexName': 'StatusIndex',
        #     'KeyConditionExpression': Key('status_pk').eq(gsi_pk) & Key('last_active_sk').>=(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

    def get_users_by_location(
        self,
        country: str,
        city: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[User], dict | None]:
        """Get users by country and city

        Projection: ALL
        All entity attributes are available.

        Args:
            country: Country
            city: City
            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: LocationIndex (GSI)
        #
        # gsi_pk = User.build_gsi_pk_for_lookup_location_index(country)
        # query_params = {
        #     'IndexName': 'LocationIndex',
        #     'KeyConditionExpression': Key('country_pk').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_users_by_country_prefix(
        self,
        country: str,
        city_prefix: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[User], dict | None]:
        """Get users by country with city prefix

        Projection: ALL
        All entity attributes are available.

        Args:
            country: Country
            city_prefix: City 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.

        Returns:
            tuple: (items, last_evaluated_key)
        """
        # TODO: Implement Access Pattern #5
        # Operation: Query | Index: LocationIndex (GSI) | Range Condition: begins_with
        # Note: 'begins_with' requires 1 parameter for the range condition
        #
        # gsi_pk = User.build_gsi_pk_for_lookup_location_index(country)
        # query_params = {
        #     'IndexName': 'LocationIndex',
        #     'KeyConditionExpression': Key('country_pk').eq(gsi_pk) & Key('city_sk').begins_with(city_prefix),
        #     '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_users_by_engagement_level(
        self,
        engagement_level: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[User], dict | None]:
        """Get users by engagement level

        Projection: ALL
        All entity attributes are available.

        Args:
            engagement_level: Engagement level
            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 #6
        # Operation: Query | Index: EngagementIndex (GSI)
        #
        # gsi_pk = User.build_gsi_pk_for_lookup_engagement_index(engagement_level)
        # query_params = {
        #     'IndexName': 'EngagementIndex',
        #     'KeyConditionExpression': Key('engagement_level_pk').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_highly_engaged_users_by_session_range(
        self,
        engagement_level: str,
        min_sessions: int,
        max_sessions: int,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[User], dict | None]:
        """Get highly engaged users within session count range

        Projection: ALL
        All entity attributes are available.

        Args:
            engagement_level: Engagement level
            min_sessions: Min sessions
            max_sessions: Max sessions
            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 #7
        # Operation: Query | Index: EngagementIndex (GSI) | Range Condition: between
        # Note: 'between' requires 2 parameters (min, max) for the range condition
        #
        # gsi_pk = User.build_gsi_pk_for_lookup_engagement_index(engagement_level)
        # query_params = {
        #     'IndexName': 'EngagementIndex',
        #     'KeyConditionExpression': Key('engagement_level_pk').eq(gsi_pk) & Key('session_count_sk').between(min_sessions, max_sessions),
        #     '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_users_by_age_group(
        self,
        age_group: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[User], dict | None]:
        """Get users by age group

        Projection: ALL
        All entity attributes are available.

        Args:
            age_group: Age group
            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 #8
        # Operation: Query | Index: AgeGroupIndex (GSI)
        #
        # gsi_pk = User.build_gsi_pk_for_lookup_age_group_index(age_group)
        # query_params = {
        #     'IndexName': 'AgeGroupIndex',
        #     'KeyConditionExpression': Key('age_group_pk').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_signups_by_age_group(
        self,
        age_group: str,
        since_date: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[User], dict | None]:
        """Get users who signed up after a specific date in age group

        Projection: ALL
        All entity attributes are available.

        Args:
            age_group: Age group
            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 #9
        # Operation: Query | Index: AgeGroupIndex (GSI) | Range Condition: >=
        # Note: '>=' requires 1 parameter for the range condition
        #
        # gsi_pk = User.build_gsi_pk_for_lookup_age_group_index(age_group)
        # query_params = {
        #     'IndexName': 'AgeGroupIndex',
        #     'KeyConditionExpression': Key('age_group_pk').eq(gsi_pk) & Key('signup_date_sk').>=(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

    def get_users_signup_date_range(
        self,
        age_group: str,
        start_date: str,
        end_date: str,
        limit: int = 100,
        exclusive_start_key: dict | None = None,
        skip_invalid_items: bool = True,
    ) -> tuple[list[User], dict | None]:
        """Get users who signed up within date range for age group

        Projection: ALL
        All entity attributes are available.

        Args:
            age_group: Age group
            start_date: Start date
            end_date: End 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 #10
        # Operation: Query | Index: AgeGroupIndex (GSI) | Range Condition: between
        # Note: 'between' requires 2 parameters (min, max) for the range condition
        #
        # gsi_pk = User.build_gsi_pk_for_lookup_age_group_index(age_group)
        # query_params = {
        #     'IndexName': 'AgeGroupIndex',
        #     'KeyConditionExpression': Key('age_group_pk').eq(gsi_pk) & Key('signup_date_sk').between(start_date, end_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
