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API Reference

Complete API reference for the Advanced Search Interface package. This document provides detailed information about all classes, methods, and configuration options.

Core Classes​

SearchInterface​

The main interface class that orchestrates all search functionality.

class SearchInterface:
    def __init__(
        self,
        config: SearchConfig,
        autocomplete_engine: AutoCompleteEngine,
        suggestions_engine: SearchSuggestionsEngine,
        analytics: SearchAnalytics
    ):
        """Initialize the search interface."""
    
    async def start_session(self, user_id: str) -> str:
        """Start a new search session."""
    
    async def end_session(self, session_id: str) -> None:
        """End a search session."""
    
    async def get_autocomplete_suggestions(
        self, 
        partial_query: str, 
        session_id: str
    ) -> List[Suggestion]:
        """Get auto-complete suggestions."""
    
    async def get_search_suggestions(
        self, 
        query: str, 
        session_id: str
    ) -> List[Suggestion]:
        """Get search suggestions."""
    
    async def search(
        self, 
        query: str, 
        session_id: str
    ) -> List[SearchResult]:
        """Perform a search query."""
    
    async def click_result(
        self, 
        result_id: str, 
        session_id: str
    ) -> None:
        """Track result click."""
    
    async def select_suggestion(
        self, 
        suggestion: Suggestion, 
        session_id: str
    ) -> None:
        """Track suggestion selection."""

SearchConfig​

Configuration class for the search interface.

class SearchConfig:
    def __init__(
        self,
        autocomplete_enabled: bool = True,
        suggestions_enabled: bool = True,
        voice_search_enabled: bool = True,
        personalization_enabled: bool = True,
        analytics_enabled: bool = True,
        max_results: int = 20,
        enable_highlighting: bool = True,
        enable_snippets: bool = True,
        cache_enabled: bool = True,
        cache_ttl_seconds: int = 300,
        debounce_delay_ms: int = 200
    ):
        """Initialize search configuration."""

Auto-Complete Engine​

AutoCompleteEngine​

Provides intelligent auto-complete suggestions.

class AutoCompleteEngine:
    def __init__(self, config: AutoCompleteConfig):
        """Initialize the auto-complete engine."""
    
    async def get_suggestions(
        self, 
        partial_query: str, 
        user_id: str
    ) -> List[Suggestion]:
        """Get auto-complete suggestions."""
    
    async def track_selection(
        self, 
        suggestion: Suggestion, 
        user_id: str
    ) -> None:
        """Track suggestion selection."""
    
    async def add_domain_terms(
        self, 
        terms: List[str]
    ) -> None:
        """Add domain-specific terms."""
    
    async def add_synonyms(
        self, 
        synonyms: Dict[str, List[str]]
    ) -> None:
        """Add synonym mappings."""

AutoCompleteConfig​

Configuration for the auto-complete engine.

class AutoCompleteConfig:
    def __init__(
        self,
        use_query_history: bool = True,
        use_popular_queries: bool = True,
        use_domain_terms: bool = True,
        use_spelling_corrections: bool = True,
        use_synonyms: bool = True,
        max_suggestions: int = 10,
        min_query_length: int = 2,
        max_query_length: int = 100,
        history_weight: float = 0.4,
        popularity_weight: float = 0.3,
        domain_weight: float = 0.2,
        spelling_weight: float = 0.1,
        cache_enabled: bool = True,
        cache_ttl_seconds: int = 300,
        debounce_delay_ms: int = 200,
        personalization_enabled: bool = True,
        learning_rate: float = 0.1,
        history_retention_days: int = 90
    ):
        """Initialize auto-complete configuration."""

Search Suggestions Engine​

SearchSuggestionsEngine​

Provides contextual search suggestions.

class SearchSuggestionsEngine:
    def __init__(self, config: SuggestionConfig):
        """Initialize the suggestions engine."""
    
    async def get_suggestions(
        self, 
        query: str, 
        user_id: str
    ) -> List[Suggestion]:
        """Get search suggestions."""
    
    async def track_selection(
        self, 
        suggestion: Suggestion, 
        user_id: str
    ) -> None:
        """Track suggestion selection."""
    
    async def add_custom_sources(
        self, 
        sources: List[Dict[str, Any]]
    ) -> None:
        """Add custom suggestion sources."""

SuggestionConfig​

Configuration for the suggestions engine.

class SuggestionConfig:
    def __init__(
        self,
        use_related_queries: bool = True,
        use_spelling_corrections: bool = True,
        use_synonyms: bool = True,
        use_query_expansions: bool = True,
        use_trending_topics: bool = True,
        use_category_suggestions: bool = True,
        max_suggestions: int = 8,
        min_query_length: int = 2,
        max_query_length: int = 100,
        related_weight: float = 0.3,
        spelling_weight: float = 0.2,
        synonym_weight: float = 0.2,
        expansion_weight: float = 0.15,
        trending_weight: float = 0.1,
        category_weight: float = 0.05,
        cache_enabled: bool = True,
        cache_ttl_seconds: int = 300,
        debounce_delay_ms: int = 200,
        personalization_enabled: bool = True,
        learning_rate: float = 0.1,
        history_retention_days: int = 90
    ):
        """Initialize suggestion configuration."""

Voice Search Engine​

VoiceSearchEngine​

Provides voice search capabilities.

class VoiceSearchEngine:
    def __init__(self, config: VoiceSearchConfig):
        """Initialize the voice search engine."""
    
    async def start_voice_search(
        self, 
        user_id: str
    ) -> str:
        """Start voice search session."""
    
    async def process_audio(
        self, 
        audio_data: bytes, 
        session_id: str
    ) -> Dict[str, Any]:
        """Process audio input."""
    
    async def stop_voice_search(
        self, 
        session_id: str
    ) -> Dict[str, Any]:
        """Stop voice search session."""
    
    async def add_custom_vocabulary(
        self, 
        vocabulary: List[str]
    ) -> None:
        """Add custom vocabulary."""

VoiceSearchConfig​

Configuration for the voice search engine.

class VoiceSearchConfig:
    def __init__(
        self,
        language: str = "en-US",
        supported_languages: List[str] = None,
        auto_detect_language: bool = True,
        sample_rate: int = 16000,
        channels: int = 1,
        bit_depth: int = 16,
        max_audio_duration: int = 30,
        enable_noise_reduction: bool = True,
        noise_reduction_level: str = "medium",
        enable_echo_cancellation: bool = True,
        enable_real_time: bool = True,
        real_time_chunk_size: int = 1024,
        real_time_delay_ms: int = 100,
        confidence_threshold: float = 0.7,
        max_alternatives: int = 3,
        enable_punctuation: bool = True,
        enable_capitalization: bool = True,
        cache_enabled: bool = True,
        cache_ttl_seconds: int = 300,
        max_concurrent_sessions: int = 10,
        personalization_enabled: bool = True,
        learning_rate: float = 0.1,
        history_retention_days: int = 90
    ):
        """Initialize voice search configuration."""

Search History Manager​

SearchHistoryManager​

Manages user search history.

class SearchHistoryManager:
    def __init__(self, config: HistoryConfig):
        """Initialize the history manager."""
    
    async def add_query(
        self, 
        user_id: str, 
        query: str, 
        session_id: str
    ) -> None:
        """Add query to history."""
    
    async def get_history(
        self, 
        user_id: str, 
        limit: int = 50
    ) -> List[QueryHistoryItem]:
        """Get user search history."""
    
    async def clear_history(
        self, 
        user_id: str
    ) -> None:
        """Clear user search history."""
    
    async def delete_query(
        self, 
        user_id: str, 
        query_id: str
    ) -> None:
        """Delete specific query from history."""

HistoryConfig​

Configuration for the history manager.

class HistoryConfig:
    def __init__(
        self,
        max_history_items: int = 1000,
        retention_days: int = 90,
        enable_anonymization: bool = False,
        enable_export: bool = True,
        export_format: str = "json",
        cache_enabled: bool = True,
        cache_ttl_seconds: int = 300
    ):
        """Initialize history configuration."""

Personalization Engine​

SearchPersonalizationEngine​

Provides personalized search experiences.

class SearchPersonalizationEngine:
    def __init__(self, config: PersonalizationConfig):
        """Initialize the personalization engine."""
    
    async def update_user_behavior(
        self, 
        user_id: str, 
        query: str, 
        clicked_results: List[str],
        time_spent: int = None,
        satisfaction_score: float = None
    ) -> None:
        """Update user behavior data."""
    
    async def get_personalized_suggestions(
        self, 
        query: str, 
        user_id: str
    ) -> List[Suggestion]:
        """Get personalized suggestions."""
    
    async def rerank_results(
        self, 
        results: List[Dict[str, Any]], 
        user_id: str
    ) -> List[Dict[str, Any]]:
        """Rerank results based on user preferences."""

PersonalizationConfig​

Configuration for the personalization engine.

class PersonalizationConfig:
    def __init__(
        self,
        learning_enabled: bool = True,
        learning_rate: float = 0.1,
        history_retention_days: int = 90,
        min_interactions_for_learning: int = 10,
        enable_result_reranking: bool = True,
        reranking_weight: float = 0.3,
        max_reranked_results: int = 20,
        enable_query_suggestions: bool = True,
        max_suggestions: int = 10,
        suggestion_confidence_threshold: float = 0.7,
        enable_content_recommendations: bool = True,
        max_recommendations: int = 5,
        recommendation_diversity: float = 0.5,
        enable_interface_customization: bool = True,
        customization_categories: List[str] = None,
        cache_enabled: bool = True,
        cache_ttl_seconds: int = 300,
        batch_processing_enabled: bool = True,
        anonymize_data: bool = False,
        data_retention_days: int = 365,
        enable_data_export: bool = True
    ):
        """Initialize personalization configuration."""

Analytics System​

SearchAnalytics​

Tracks and analyzes search behavior.

class SearchAnalytics:
    def __init__(self, config: SearchAnalyticsConfig):
        """Initialize the analytics system."""
    
    async def track_query(
        self, 
        user_id: str, 
        query: str, 
        session_id: str,
        timestamp: datetime = None
    ) -> None:
        """Track search query."""
    
    async def track_click(
        self, 
        user_id: str, 
        result_id: str, 
        query: str,
        position: int,
        timestamp: datetime = None
    ) -> None:
        """Track result click."""
    
    async def get_search_metrics(
        self, 
        start_date: datetime, 
        end_date: datetime
    ) -> Dict[str, Any]:
        """Get search metrics."""
    
    async def generate_report(
        self, 
        report_type: str, 
        start_date: datetime, 
        end_date: datetime
    ) -> Dict[str, Any]:
        """Generate analytics report."""

SearchAnalyticsConfig​

Configuration for the analytics system.

class SearchAnalyticsConfig:
    def __init__(
        self,
        track_queries: bool = True,
        track_clicks: bool = True,
        track_suggestions: bool = True,
        track_sessions: bool = True,
        track_performance: bool = True,
        data_retention_days: int = 90,
        raw_data_retention_days: int = 30,
        aggregated_data_retention_days: int = 365,
        batch_processing_enabled: bool = True,
        batch_size: int = 1000,
        processing_interval_minutes: int = 5,
        enable_automatic_reports: bool = True,
        report_frequency: str = "daily",
        report_recipients: List[str] = None,
        anonymize_data: bool = False,
        enable_data_export: bool = True,
        data_export_format: str = "json",
        enable_real_time_analytics: bool = True,
        real_time_update_interval_seconds: int = 60,
        enable_ab_testing: bool = True,
        ab_test_retention_days: int = 30
    ):
        """Initialize analytics configuration."""

A/B Testing Framework​

SearchABTestingFramework​

Manages A/B testing for search features.

class SearchABTestingFramework:
    def __init__(self, config: ABTestConfig):
        """Initialize the A/B testing framework."""
    
    async def create_test(
        self, 
        test_name: str, 
        description: str, 
        variants: Dict[str, Dict[str, Any]],
        success_metrics: List[str],
        start_date: datetime, 
        end_date: datetime
    ) -> Dict[str, Any]:
        """Create a new A/B test."""
    
    async def assign_user_to_variant(
        self, 
        test_id: str, 
        user_id: str
    ) -> str:
        """Assign user to test variant."""
    
    async def track_event(
        self, 
        test_id: str, 
        user_id: str, 
        event_type: str, 
        event_data: Dict[str, Any]
    ) -> None:
        """Track test event."""
    
    async def get_test_results(
        self, 
        test_id: str
    ) -> Dict[str, Any]:
        """Get test results."""

ABTestConfig​

Configuration for the A/B testing framework.

class ABTestConfig:
    def __init__(
        self,
        enable_automatic_tests: bool = True,
        default_test_duration_days: int = 7,
        minimum_sample_size: int = 1000,
        maximum_test_duration_days: int = 30,
        statistical_significance_threshold: float = 0.95,
        confidence_interval: float = 0.95,
        minimum_effect_size: float = 0.05,
        assignment_strategy: str = "random",
        enable_user_sticky_assignment: bool = True,
        assignment_weights: Dict[str, float] = None,
        cache_enabled: bool = True,
        cache_ttl_seconds: int = 300,
        batch_processing_enabled: bool = True,
        enable_real_time_monitoring: bool = True,
        monitoring_interval_minutes: int = 5,
        alert_thresholds: Dict[str, float] = None,
        anonymize_user_data: bool = False,
        data_retention_days: int = 90,
        enable_data_export: bool = True
    ):
        """Initialize A/B test configuration."""

Customization Manager​

CustomizationManager​

Manages user interface customizations.

class CustomizationManager:
    def __init__(self, config: CustomizationConfig):
        """Initialize the customization manager."""
    
    async def get_user_customizations(
        self, 
        user_id: str
    ) -> Dict[str, Any]:
        """Get user customizations."""
    
    async def update_theme(
        self, 
        user_id: str, 
        theme: Dict[str, Any]
    ) -> None:
        """Update user theme."""
    
    async def update_layout(
        self, 
        user_id: str, 
        layout: Dict[str, Any]
    ) -> None:
        """Update user layout."""
    
    async def update_features(
        self, 
        user_id: str, 
        features: Dict[str, Any]
    ) -> None:
        """Update user features."""
    
    async def apply_customizations(
        self, 
        user_id: str, 
        base_config: Dict[str, Any]
    ) -> Dict[str, Any]:
        """Apply customizations to configuration."""

CustomizationConfig​

Configuration for the customization manager.

class CustomizationConfig:
    def __init__(
        self,
        enable_theme_customization: bool = True,
        enable_layout_customization: bool = True,
        enable_feature_customization: bool = True,
        enable_preference_customization: bool = True,
        max_customizations_per_user: int = 50,
        max_theme_variations: int = 10,
        max_layout_variations: int = 5,
        available_themes: List[str] = None,
        custom_theme_enabled: bool = True,
        theme_validation: bool = True,
        available_layouts: List[str] = None,
        custom_layout_enabled: bool = True,
        layout_validation: bool = True,
        available_features: List[str] = None,
        feature_dependencies: Dict[str, List[str]] = None,
        cache_enabled: bool = True,
        cache_ttl_seconds: int = 300,
        batch_processing_enabled: bool = True,
        accessibility_options: Dict[str, bool] = None,
        anonymize_customizations: bool = False,
        data_retention_days: int = 365,
        enable_data_export: bool = True
    ):
        """Initialize customization configuration."""

Data Models​

Suggestion​

Represents a search suggestion.

class Suggestion:
    def __init__(
        self,
        text: str,
        confidence: float,
        suggestion_type: str,
        reason: str = None,
        relevance_score: float = None,
        debug_info: Dict[str, Any] = None
    ):
        """Initialize suggestion."""

SearchResult​

Represents a search result.

class SearchResult:
    def __init__(
        self,
        id: str,
        title: str,
        content: str,
        score: float,
        snippet: str = None,
        url: str = None,
        metadata: Dict[str, Any] = None
    ):
        """Initialize search result."""

QueryHistoryItem​

Represents a query history item.

class QueryHistoryItem:
    def __init__(
        self,
        id: str,
        query: str,
        timestamp: datetime,
        session_id: str,
        result_count: int = None,
        clicked_results: List[str] = None
    ):
        """Initialize query history item."""

Error Handling​

SearchInterfaceError​

Base exception for search interface errors.

class SearchInterfaceError(Exception):
    """Base exception for search interface errors."""
    pass

ConfigurationError​

Exception for configuration errors.

class ConfigurationError(SearchInterfaceError):
    """Exception for configuration errors."""
    pass

ValidationError​

Exception for validation errors.

class ValidationError(SearchInterfaceError):
    """Exception for validation errors."""
    pass

Utility Functions​

Validation Functions​

def validate_query(query: str) -> bool:
    """Validate search query."""
    pass

def validate_user_id(user_id: str) -> bool:
    """Validate user ID."""
    pass

def validate_session_id(session_id: str) -> bool:
    """Validate session ID."""
    pass

Helper Functions​

def generate_session_id(user_id: str) -> str:
    """Generate unique session ID."""
    pass

def sanitize_query(query: str) -> str:
    """Sanitize search query."""
    pass

def format_search_result(result: Dict[str, Any]) -> SearchResult:
    """Format search result."""
    pass

Configuration Examples​

Basic Configuration​

# Basic search interface configuration
config = SearchConfig(
    autocomplete_enabled=True,
    suggestions_enabled=True,
    max_results=20,
    enable_highlighting=True
)

# Initialize search interface
search_interface = SearchInterface(
    config=config,
    autocomplete_engine=AutoCompleteEngine(AutoCompleteConfig()),
    suggestions_engine=SearchSuggestionsEngine(SuggestionConfig()),
    analytics=SearchAnalytics(SearchAnalyticsConfig())
)

Advanced Configuration​

# Advanced configuration with all features
config = SearchConfig(
    autocomplete_enabled=True,
    suggestions_enabled=True,
    voice_search_enabled=True,
    personalization_enabled=True,
    analytics_enabled=True,
    max_results=50,
    enable_highlighting=True,
    enable_snippets=True,
    cache_enabled=True,
    cache_ttl_seconds=600,
    debounce_delay_ms=300
)

# Initialize with advanced features
search_interface = SearchInterface(
    config=config,
    autocomplete_engine=AutoCompleteEngine(AutoCompleteConfig(
        use_query_history=True,
        use_popular_queries=True,
        use_domain_terms=True,
        max_suggestions=15,
        personalization_enabled=True
    )),
    suggestions_engine=SearchSuggestionsEngine(SuggestionConfig(
        use_related_queries=True,
        use_spelling_corrections=True,
        use_synonyms=True,
        max_suggestions=10,
        personalization_enabled=True
    )),
    analytics=SearchAnalytics(SearchAnalyticsConfig(
        track_queries=True,
        track_clicks=True,
        track_suggestions=True,
        enable_real_time_analytics=True
    ))
)

Next Steps​