Implements ADR-0002: canonical peptide schema as shared data layer for the peptiderepo.com ecosystem. All Tier 1 tools (Reconstitution Calculator, Dosage Reference, Legal Status Tracker, PSA enhancements) build on this. Includes: - pr_peptide CPT with REST, taxonomies, 11 meta fields - 3 custom tables: pr_dosing_rows, pr_legal_cells, pr_ai_candidate_queue - Sequential migration runner with schema versioning - 4 typed DTOs and 4 repository classes (full CRUD) - REST API (pr-core/v1): 6 endpoints (read public, write auth-gated) - Admin UI: 3 meta boxes, custom columns, AI candidate queue page - Shared disclaimer component (shortcode + static API) - JSON-LD Drug schema emission on single peptide pages - Seed data fixture (3 peptides, 10 dosing rows, 5 legal cells) - Full teardown in uninstall.php - CI: PHP lint 8.0-8.2, PHPCS WordPress, 300-line check All 22 PHP files under 300 lines. Highest: peptide-cpt at 265. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
73 lines
2.3 KiB
PHP
73 lines
2.3 KiB
PHP
<?php
|
|
declare(strict_types=1);
|
|
|
|
/**
|
|
* Migration 0003: Create the pr_ai_candidate_queue table.
|
|
*
|
|
* What: Creates the AI-extracted dosing candidate queue table.
|
|
* Who calls it: PR_Core_Migration_Runner::run_pending().
|
|
* Dependencies: WordPress $wpdb, dbDelta().
|
|
*
|
|
* Approved rows are copied into pr_dosing_rows with source='ai-candidate-approved'
|
|
* and ai_candidate_id set; queue row marked 'merged'.
|
|
*
|
|
* @see ARCHITECTURE.md — AI-assist candidate-extraction pipeline.
|
|
*/
|
|
class PR_Core_Migration_0003_Candidate_Queue {
|
|
|
|
/** @var string[] Valid queue status enum values. */
|
|
public const STATUSES = [
|
|
'pending',
|
|
'approved',
|
|
'rejected',
|
|
'merged',
|
|
];
|
|
|
|
/**
|
|
* Create the pr_ai_candidate_queue table.
|
|
*
|
|
* Side effects: database DDL via dbDelta().
|
|
*
|
|
* @return void
|
|
*/
|
|
public function up(): void {
|
|
global $wpdb;
|
|
$table = $wpdb->prefix . 'pr_ai_candidate_queue';
|
|
$charset = $wpdb->get_charset_collate();
|
|
|
|
$sql = "CREATE TABLE {$table} (
|
|
id BIGINT UNSIGNED NOT NULL AUTO_INCREMENT,
|
|
peptide_id BIGINT UNSIGNED NOT NULL,
|
|
dose_min DECIMAL(12,4) NULL,
|
|
dose_max DECIMAL(12,4) NULL,
|
|
dose_unit VARCHAR(16) NOT NULL,
|
|
route VARCHAR(32) NOT NULL,
|
|
frequency VARCHAR(64) NULL,
|
|
duration_value INT UNSIGNED NULL,
|
|
duration_unit VARCHAR(16) NULL,
|
|
population VARCHAR(32) NOT NULL,
|
|
indication VARCHAR(255) NULL,
|
|
evidence_strength VARCHAR(32) NOT NULL,
|
|
study_title VARCHAR(500) NULL,
|
|
study_year SMALLINT UNSIGNED NULL,
|
|
citation_pubmed_id VARCHAR(16) NULL,
|
|
citation_doi VARCHAR(128) NULL,
|
|
citation_url VARCHAR(500) NULL,
|
|
notes TEXT NULL,
|
|
extraction_confidence FLOAT NOT NULL DEFAULT 0,
|
|
queue_status VARCHAR(16) NOT NULL DEFAULT 'pending',
|
|
extracted_at DATETIME NOT NULL,
|
|
reviewed_by BIGINT UNSIGNED NULL,
|
|
reviewed_at DATETIME NULL,
|
|
reviewer_notes TEXT NULL,
|
|
PRIMARY KEY (id),
|
|
KEY idx_peptide (peptide_id),
|
|
KEY idx_status (queue_status),
|
|
KEY idx_confidence (extraction_confidence),
|
|
KEY idx_peptide_status (peptide_id, queue_status)
|
|
) {$charset};";
|
|
|
|
dbDelta( $sql );
|
|
}
|
|
}
|