Query Autocompletion

def complete_query(self, tenant: str, query: str, page_size: int = None,
                  language_codes: List[str] = None, company: str = None,
                  scope: CompletionScope = None, type_: CompletionType = None) -> CompleteQueryResponse:
    """
    Returns autocomplete suggestions for job search queries.

    Parameters:
    - tenant (str): Tenant resource name for scoped suggestions
    - query (str): Partial query string to complete (required, max 255 chars)
    - page_size (int): Maximum number of suggestions to return (max 100, default 10)
    - language_codes (List[str]): Preferred languages for suggestions (ISO 639-1 codes)
    - company (str): Company resource name to scope suggestions
    - scope (CompletionScope): Scope of completion suggestions
    - type_ (CompletionType): Type of completion to perform

    Returns:
    CompleteQueryResponse: Completion suggestions with metadata

    Raises:
    - InvalidArgument: Invalid query string or parameters
    - PermissionDenied: Insufficient permissions for completion requests
    """

from google.cloud.talent import CompletionClient, CompletionScope, CompletionType

client = CompletionClient()

# Basic query completion
response = client.complete_query(
    tenant="projects/my-project/tenants/my-tenant",
    query="software eng",
    page_size=10
)

for completion in response.completion_results:
    print(f"Suggestion: {completion.suggestion}")
    print(f"Type: {completion.type_}")

class CompletionScope(Enum):
    """Scope options for completion suggestions."""
    COMPLETION_SCOPE_UNSPECIFIED = 0
    TENANT = 1  # Suggestions from tenant's job data
    PUBLIC = 2  # Suggestions from public job market data

class CompletionType(Enum):
    """Types of completion suggestions."""
    COMPLETION_TYPE_UNSPECIFIED = 0
    JOB_TITLE = 1  # Job title completions
    COMPANY_NAME = 2  # Company name completions
    COMBINED = 3  # Combined job title and company suggestions

# Job title specific completions
title_response = client.complete_query(
    tenant="projects/my-project/tenants/my-tenant",
    query="data sci",
    type_=CompletionType.JOB_TITLE,
    page_size=15
)

# Company name completions
company_response = client.complete_query(
    tenant="projects/my-project/tenants/my-tenant", 
    query="goog",
    type_=CompletionType.COMPANY_NAME,
    page_size=10
)

# Combined suggestions for general search
combined_response = client.complete_query(
    tenant="projects/my-project/tenants/my-tenant",
    query="python",
    type_=CompletionType.COMBINED,
    scope=CompletionScope.TENANT,
    page_size=20
)

# Multi-language completion support
multilingual_response = client.complete_query(
    tenant="projects/my-project/tenants/my-tenant",
    query="desarrollador",  # Spanish for "developer"
    language_codes=["es", "en"],  # Spanish and English
    page_size=10
)

# English-only completions
english_response = client.complete_query(
    tenant="projects/my-project/tenants/my-tenant",
    query="engineer",
    language_codes=["en"],
    page_size=15
)

# Completions scoped to specific company
company_scoped_response = client.complete_query(
    tenant="projects/my-project/tenants/my-tenant",
    query="software",
    company="projects/my-project/tenants/my-tenant/companies/google",
    page_size=10
)

for completion in company_scoped_response.completion_results:
    print(f"Job at Google: {completion.suggestion}")

class CompleteQueryResponse:
    """Response containing completion suggestions and metadata."""
    completion_results: List[CompletionResult] = None  # List of suggestions
    metadata: ResponseMetadata = None  # Response metadata

class CompletionResult:
    """Individual completion suggestion with metadata."""
    suggestion: str = None  # Completed query suggestion
    type_: CompletionType = None  # Type of suggestion
    image_uri: str = None  # Associated image (for company suggestions)

response = client.complete_query(
    tenant="projects/my-project/tenants/my-tenant",
    query="java dev",
    type_=CompletionType.COMBINED
)

print(f"Found {len(response.completion_results)} suggestions:")

for result in response.completion_results:
    print(f"  {result.suggestion} ({result.type_})")
    
    if result.image_uri:
        print(f"    Logo: {result.image_uri}")

class CompleteQueryRequest:
    tenant: str = None  # Tenant resource name (required)
    query: str = None  # Partial query to complete (required, max 255 chars)
    language_codes: List[str] = None  # Preferred languages (ISO 639-1)
    page_size: int = None  # Max suggestions to return (max 100, default 10)
    company: str = None  # Company resource name for scoping
    scope: CompletionScope = None  # Completion scope
    type_: CompletionType = None  # Completion type

import asyncio
import time
from typing import List, Optional

class SearchAutocompletion:
    def __init__(self, tenant_name: str, debounce_ms: int = 300):
        self.tenant_name = tenant_name
        self.client = CompletionClient()
        self.debounce_ms = debounce_ms
        self.last_query_time = 0
        self.current_task = None
    
    async def get_suggestions(self, query: str, max_suggestions: int = 10) -> List[str]:
        """Get suggestions with debouncing for real-time search."""
        if len(query.strip()) < 2:
            return []
        
        # Cancel previous request if still pending
        if self.current_task and not self.current_task.done():
            self.current_task.cancel()
        
        # Debounce rapid queries
        self.last_query_time = time.time()
        await asyncio.sleep(self.debounce_ms / 1000.0)
        
        # Check if a newer query was made during debounce period
        if time.time() - self.last_query_time < (self.debounce_ms / 1000.0):
            return []
        
        # Make completion request
        self.current_task = asyncio.create_task(
            self._fetch_completions(query, max_suggestions)
        )
        
        try:
            return await self.current_task
        except asyncio.CancelledError:
            return []
    
    async def _fetch_completions(self, query: str, max_suggestions: int) -> List[str]:
        """Fetch completions from API."""
        try:
            response = self.client.complete_query(
                tenant=self.tenant_name,
                query=query,
                type_=CompletionType.COMBINED,
                page_size=max_suggestions
            )
            
            return [result.suggestion for result in response.completion_results]
            
        except Exception as e:
            print(f"Completion request failed: {e}")
            return []

# Usage in web application
autocomplete = SearchAutocompletion("projects/my-project/tenants/my-tenant")

# In request handler
async def handle_autocomplete_request(query: str):
    suggestions = await autocomplete.get_suggestions(query)
    return {"suggestions": suggestions}

import time
from typing import Dict, Tuple, List
from dataclasses import dataclass

@dataclass
class CachedCompletion:
    suggestions: List[str]
    timestamp: float
    ttl_seconds: int = 300  # 5 minutes default TTL

class CompletionCache:
    def __init__(self, tenant_name: str, cache_ttl: int = 300):
        self.tenant_name = tenant_name
        self.client = CompletionClient()
        self.cache: Dict[str, CachedCompletion] = {}
        self.default_ttl = cache_ttl
    
    def get_completions(self, query: str, max_suggestions: int = 10) -> List[str]:
        """Get completions with caching."""
        cache_key = f"{query.lower()}:{max_suggestions}"
        
        # Check cache first
        if cache_key in self.cache:
            cached = self.cache[cache_key]
            if time.time() - cached.timestamp < cached.ttl_seconds:
                return cached.suggestions
            else:
                del self.cache[cache_key]  # Remove expired entry
        
        # Fetch from API
        try:
            response = self.client.complete_query(
                tenant=self.tenant_name,
                query=query,
                type_=CompletionType.COMBINED,
                page_size=max_suggestions
            )
            
            suggestions = [result.suggestion for result in response.completion_results]
            
            # Cache the results
            self.cache[cache_key] = CachedCompletion(
                suggestions=suggestions,
                timestamp=time.time(),
                ttl_seconds=self.default_ttl
            )
            
            return suggestions
            
        except Exception as e:
            print(f"Completion request failed: {e}")
            return []
    
    def clear_cache(self):
        """Clear all cached completions."""
        self.cache.clear()
    
    def clear_expired(self):
        """Remove expired cache entries."""
        current_time = time.time()
        expired_keys = [
            key for key, cached in self.cache.items()
            if current_time - cached.timestamp >= cached.ttl_seconds
        ]
        
        for key in expired_keys:
            del self.cache[key]

# Usage
completion_cache = CompletionCache("projects/my-project/tenants/my-tenant")

def get_search_suggestions(query: str) -> List[str]:
    return completion_cache.get_completions(query, max_suggestions=15)

class TalentAutocompletion {
    constructor(tenantPath, apiEndpoint) {
        this.tenantPath = tenantPath;
        this.apiEndpoint = apiEndpoint;
        this.debounceTimer = null;
        this.currentController = null;
    }
    
    async getSuggestions(query, options = {}) {
        // Clear previous debounce timer
        if (this.debounceTimer) {
            clearTimeout(this.debounceTimer);
        }
        
        // Cancel previous request
        if (this.currentController) {
            this.currentController.abort();
        }
        
        return new Promise((resolve, reject) => {
            this.debounceTimer = setTimeout(async () => {
                try {
                    this.currentController = new AbortController();
                    
                    const params = new URLSearchParams({
                        tenant: this.tenantPath,
                        query: query,
                        page_size: options.maxSuggestions || 10,
                        type: options.type || 'COMBINED'
                    });
                    
                    if (options.languageCodes) {
                        params.append('language_codes', options.languageCodes.join(','));
                    }
                    
                    const response = await fetch(
                        `${this.apiEndpoint}/completion?${params}`,
                        {
                            signal: this.currentController.signal,
                            headers: {
                                'Authorization': `Bearer ${await this.getAuthToken()}`
                            }
                        }
                    );
                    
                    if (!response.ok) {
                        throw new Error(`Completion request failed: ${response.status}`);
                    }
                    
                    const data = await response.json();
                    resolve(data.completion_results || []);
                    
                } catch (error) {
                    if (error.name !== 'AbortError') {
                        reject(error);
                    }
                }
            }, options.debounceMs || 300);
        });
    }
    
    async getAuthToken() {
        // Implement your authentication token retrieval
        return localStorage.getItem('auth_token');
    }
}

// Usage in React component
const useJobSearchAutocompletion = (tenantPath) => {
    const [suggestions, setSuggestions] = useState([]);
    const [loading, setLoading] = useState(false);
    const autocompletion = useRef(
        new TalentAutocompletion(tenantPath, '/api/talent')
    ).current;
    
    const getSuggestions = useCallback(async (query) => {
        if (query.length < 2) {
            setSuggestions([]);
            return;
        }
        
        setLoading(true);
        try {
            const results = await autocompletion.getSuggestions(query, {
                maxSuggestions: 10,
                type: 'COMBINED'
            });
            setSuggestions(results.map(r => r.suggestion));
        } catch (error) {
            console.error('Autocompletion failed:', error);
            setSuggestions([]);
        } finally {
            setLoading(false);
        }
    }, [autocompletion]);
    
    return { suggestions, loading, getSuggestions };
};

from google.api_core import exceptions

def safe_get_completions(client: CompletionClient, tenant: str, query: str) -> List[str]:
    """Safely get completions with comprehensive error handling."""
    try:
        response = client.complete_query(tenant=tenant, query=query)
        return [result.suggestion for result in response.completion_results]
        
    except exceptions.InvalidArgument as e:
        print(f"Invalid completion query: {e}")
        return []  # Return empty list for invalid queries
        
    except exceptions.PermissionDenied as e:
        print(f"Completion access denied: {e}")
        return []  # Return empty list if no permission
        
    except exceptions.ResourceExhausted as e:
        print(f"Completion quota exceeded: {e}")
        return []  # Return empty list if quota exceeded
        
    except exceptions.DeadlineExceeded as e:
        print(f"Completion request timeout: {e}")
        return []  # Return empty list on timeout
        
    except Exception as e:
        print(f"Unexpected completion error: {e}")
        return []  # Never break user experience for completion failures

# Optimize completion requests for performance
def optimized_completion_request(query: str) -> CompleteQueryRequest:
    return CompleteQueryRequest(
        tenant="projects/my-project/tenants/my-tenant",
        query=query,
        page_size=8,  # Smaller page size for faster response
        type_=CompletionType.COMBINED,  # Most useful for general search
        scope=CompletionScope.TENANT  # Faster than public scope
    )

import time
from collections import defaultdict

class CompletionAnalytics:
    def __init__(self):
        self.request_counts = defaultdict(int)
        self.response_times = []
        self.error_counts = defaultdict(int)
    
    def track_request(self, query: str, response_time: float, success: bool, error_type: str = None):
        """Track completion request metrics."""
        self.request_counts[query] += 1
        self.response_times.append(response_time)
        
        if not success and error_type:
            self.error_counts[error_type] += 1
    
    def get_metrics(self):
        """Get completion performance metrics."""
        if not self.response_times:
            return {}
            
        return {
            'total_requests': sum(self.request_counts.values()),
            'unique_queries': len(self.request_counts),
            'avg_response_time': sum(self.response_times) / len(self.response_times),
            'error_rate': sum(self.error_counts.values()) / sum(self.request_counts.values()),
            'most_common_queries': sorted(
                self.request_counts.items(), 
                key=lambda x: x[1], 
                reverse=True
            )[:10]
        }