[DO NOT MERGE] Credential Engine launch #2415
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…t to trainings/all
NJWE-1847- New endpoint to retrieve all trainings from CE
…ntains matches for learning opportunity profile ceterms:name an ceterms:description
fix deliverytype
Scott/training page skeleton
…ssing data - Simplified access to nested fields using optional chaining (?.). - Added null coalescing (??) to provide default values for missing data. - Ensured better handling of edge cases, such as missing or incomplete contact information. - Improved code clarity and reduced redundancy.
…ory` - Added `normalizeQueryParams` to standardize query parameters for consistent cache keys. - Updated caching logic to dynamically use normalized parameters and reduce cache misses. - Enhanced logging to distinguish cache hits and misses for better observability. - Renamed functions for clarity: `filterCerts` -> `filterRecords`, `paginateCerts` -> `paginateRecords`. - Preserved existing functionality for filtering, sorting, and pagination. This refactor improves caching efficiency, reduces redundant API calls, and enhances code readability.
- Renamed `transformCertificateToTraining` to `transformLearningOpportunityCTDLToTrainingResult` for clarity. - Updated variable naming for consistency (`allCerts` -> `learningOpportunities`).
- Added `tokenize` and `levenshteinDistance` functions to support text processing. - Introduced `rankResults` to rank search results based on query relevance. - Integrated ranking into `searchTrainingsFactory` to improve search accuracy. - Included `description` in the `TrainingResult` transformation for better matching. This update enhances search result quality by prioritizing relevant results.
- Added provider name (`ceterms:ownedBy`) to ranking to improve search results. - Introduced `STOP_WORDS` set to prevent stripping essential provider words. - Increased proper noun weighting in `rankResults` for better relevance. - Adjusted tokenization to retain hyphens, numbers, and spaces. - Boosted exact name matches significantly to prioritize precise results. - Added fuzzy matching logic for minor spelling variations. - Improved phrase matching by including description and provider name. These updates ensure better recall and precision when searching for training opportunities.
- Boost exact provider name matches (+15,000) to prioritize direct matches - Boost exact training program name matches (+2,000) for more relevant results - Add location-based boosting (+1,500 per match) to prioritize local results - Increase weight for multi-word phrase matches (+500) to improve precision - Penalize unrelated results (-2,000) if neither provider nor training name matches These changes ensure that searches like "Workforce Advantage - Elizabeth nursing" prioritize relevant programs from the correct provider and location.
… Contact Details"
…cified text should be hidden if provider does not give that info"
- Refactored `rankResults` function: - Introduced `COMMON_WORDS` set to filter out generic terms. - Improved token-based matching with weighted scores. - Enhanced fuzzy matching efficiency. - Set a minimum score threshold for relevance filtering. - Improved query filtering: - Standardized tokenization for training names, descriptions, and providers. - Boosted ranking for strong matches and removed low-relevance results. - Added additional logging for debugging and performance insights. This refactor enhances search accuracy, reduces noise, and improves result ranking consistency.
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