Help me write Symfony code to integrate Elasticsearch for search functionality

# Prompt 10: Multi-Language Search and Analysis with Elasticsearch

Help me write Symfony code to integrate Elasticsearch for search functionality

Code requirements:
1. Configure Elasticsearch to handle multi-language indexing and search (e.g., English, Chinese, French).
2. Set up language-specific analyzers and mappings.
3. Implement logic in Symfony to index and query by language context.
4. Test search relevance and accuracy in multiple languages.

Additional considerations:
1. Document supported languages and query syntax.
2. Allow users to select or detect language for search.
3. Provide fallback strategies if language detection fails.

Expected output:
A Symfony search solution with full multi-language support using Elasticsearch analyzers and mappings.

# Prompt 9: Monitoring and Error Handling for Elasticsearch

Help me write Symfony code to integrate Elasticsearch for search functionality

Code requirements:
1. Monitor Elasticsearch cluster health and log errors from failed queries or indexing.
2. Expose health-check endpoints for the search service.
3. Handle connection failures and return friendly errors in the Symfony API.
4. Set up alerts for search downtime or data sync failures.

Additional considerations:
1. Integrate with Symfony's logging and alerting stack (e.g., Monolog).
2. Optionally, expose cluster stats in the admin dashboard.
3. Provide troubleshooting documentation for search issues.

Expected output:
A robust Symfony/Elasticsearch integration with health checks and detailed error logging.

# Prompt 8: Elasticsearch Autocomplete and Suggest API

Help me write Symfony code to integrate Elasticsearch for search functionality

Code requirements:
1. Implement an autocomplete/suggest feature using Elasticsearch's suggest API.
2. Index relevant fields with proper analyzers for autocomplete.
3. Create an endpoint that returns suggestions based on partial user input.
4. Support fuzzy matching for typos or misspellings.

Additional considerations:
1. Provide UI usage examples (AJAX search bar).
2. Optimize suggestion speed for user experience.
3. Limit number of suggestions returned per query.

Expected output:
A Symfony API endpoint delivering real-time autocomplete suggestions via Elasticsearch.

# Prompt 7: Securing Elasticsearch Search Endpoints in Symfony

Help me write Symfony code to integrate Elasticsearch for search functionality

Code requirements:
1. Protect search and indexing endpoints with authentication (e.g., JWT or API key).
2. Restrict access to indexing and deletion operations to admin users.
3. Log all search and index modification attempts for audit.
4. Return appropriate error codes for unauthorized access.

Additional considerations:
1. Rate-limit search requests to prevent abuse.
2. Provide clear API documentation for authentication requirements.
3. Support secure HTTPS connections to Elasticsearch nodes.

Expected output:
A secure Symfony Elasticsearch integration with protected endpoints and audit logging.

# Prompt 6: Elasticsearch Bulk Operations and Performance Tuning

Help me write Symfony code to integrate Elasticsearch for search functionality

Code requirements:
1. Use Elasticsearch bulk API for mass indexing, updating, or deleting documents.
2. Create a Symfony command for efficient bulk operations (e.g., nightly batch job).
3. Monitor and log bulk operation success, failures, and performance.
4. Provide rollback or retry strategies for failed operations.

Additional considerations:
1. Tune bulk batch sizes for optimal performance.
2. Handle partial failures gracefully.
3. Schedule regular maintenance (e.g., optimize, refresh indexes).

Expected output:
A Symfony command and service for scalable, reliable Elasticsearch bulk operations.

# Prompt 5: Handling Elasticsearch Mappings and Analyzers

Help me write Symfony code to integrate Elasticsearch for search functionality

Code requirements:
1. Define custom Elasticsearch mappings and analyzers for an entity index (e.g., custom n-gram, stop words, or stemming analyzers).
2. Apply the mapping on index creation from a Symfony command or migration.
3. Demonstrate search improvements with custom analyzers (e.g., partial match, autocomplete).

Additional considerations:
1. Ensure zero downtime for mapping updates (reindex if needed).
2. Document mapping structure and analyzer settings.
3. Handle index versioning and migration.

Expected output:
A Symfony project with tailored Elasticsearch mappings and analyzers for optimized search.

# Prompt 4: Filtering, Sorting, and Aggregations with Elasticsearch

Help me write Symfony code to integrate Elasticsearch for search functionality

Code requirements:
1. Allow users to filter search results by fields (e.g., category, price range) using Elasticsearch queries.
2. Enable sorting of results by fields such as date or relevance.
3. Use Elasticsearch aggregations to provide facets (e.g., category counts, price ranges).
4. Return filter, sort, and aggregation data in the search response.

Additional considerations:
1. Optimize Elasticsearch queries for performance.
2. Document available filters and sorting options.
3. Provide UI integration examples if needed.

Expected output:
A Symfony controller providing advanced filtering, sorting, and faceted aggregation search via Elasticsearch.

# Prompt 3: Full-Text Search with Elasticsearch in Symfony

Help me write Symfony code to integrate Elasticsearch for search functionality

Code requirements:
1. Use Elasticsearch's full-text search capabilities (e.g., match, multi_match) to search across entity fields (title, content).
2. Implement a search controller that accepts query parameters and returns ranked results.
3. Highlight matched terms in search results.
4. Support pagination of results from Elasticsearch.

Additional considerations:
1. Handle special characters and stop words in queries.
2. Provide relevant scoring and ranking.
3. Document API usage and query examples.

Expected output:
A Symfony search endpoint providing full-text, ranked, and highlighted search results using Elasticsearch.

# Prompt 2: Indexing Doctrine Entities in Elasticsearch

Help me write Symfony code to integrate Elasticsearch for search functionality

Code requirements:
1. Sync Doctrine ORM entities (e.g., Product, BlogPost) to Elasticsearch index.
2. Implement event listeners or subscribers to update the index when entities are created, updated, or deleted.
3. Provide a command to reindex all entities if needed.
4. Support mapping Doctrine fields to Elasticsearch fields with proper types.

Additional considerations:
1. Ensure entity relations (e.g., author, tags) are indexed properly.
2. Optimize indexing for bulk operations.
3. Document how to trigger reindex and handle large datasets.

Expected output:
A Symfony solution for real-time and batch indexing of Doctrine entities into Elasticsearch.

# Prompt 1: Basic Elasticsearch Integration in Symfony

Help me write Symfony code to integrate Elasticsearch for search functionality

Code requirements:
1. Install an Elasticsearch client bundle such as `elasticsearch/elasticsearch` or `ruflin/elastica` in a Symfony project.
2. Configure Elasticsearch connection parameters in Symfony's configuration files.
3. Create a service for indexing and searching documents.
4. Index a sample entity (e.g., `Article`) and implement a simple search endpoint.
5. Test basic indexing and search queries from a controller.

Additional considerations:
1. Validate Elasticsearch server connectivity.
2. Handle errors for indexing/searching gracefully.
3. Provide sample cURL commands for indexing and searching.

Expected output:
A Symfony application with basic Elasticsearch indexing and search features.