73 lines
2.3 KiB
PHP
73 lines
2.3 KiB
PHP
<?php
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declare(strict_types=1);
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/**
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* Migration 0003: Create the pr_ai_candidate_queue table.
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*
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* What: Creates the AI-extracted dosing candidate queue table.
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* Who calls it: PR_Core_Migration_Runner::run_pending().
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* Dependencies: WordPress $wpdb, dbDelta().
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*
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* Approved rows are copied into pr_dosing_rows with source='ai-candidate-approved'
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* and ai_candidate_id set; queue row marked 'merged'.
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*
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* @see ARCHITECTURE.md — AI-assist candidate-extraction pipeline.
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*/
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class PR_Core_Migration_0003_Candidate_Queue {
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/** @var string[] Valid queue status enum values. */
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public const STATUSES = array(
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'pending',
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'approved',
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'rejected',
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'merged',
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);
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/**
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* Create the pr_ai_candidate_queue table.
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*
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* Side effects: database DDL via dbDelta().
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*
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* @return void
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*/
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public function up(): void {
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global $wpdb;
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$table = $wpdb->prefix . 'pr_ai_candidate_queue';
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$charset = $wpdb->get_charset_collate();
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$sql = "CREATE TABLE {$table} (
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id BIGINT UNSIGNED NOT NULL AUTO_INCREMENT,
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peptide_id BIGINT UNSIGNED NOT NULL,
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dose_min DECIMAL(12,4) NULL,
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dose_max DECIMAL(12,4) NULL,
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dose_unit VARCHAR(16) NOT NULL,
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route VARCHAR(32) NOT NULL,
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frequency VARCHAR(64) NULL,
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duration_value INT UNSIGNED NULL,
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duration_unit VARCHAR(16) NULL,
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population VARCHAR(32) NOT NULL,
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indication VARCHAR(255) NULL,
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evidence_strength VARCHAR(32) NOT NULL,
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study_title VARCHAR(500) NULL,
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study_year SMALLINT UNSIGNED NULL,
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citation_pubmed_id VARCHAR(16) NULL,
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citation_doi VARCHAR(128) NULL,
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citation_url VARCHAR(500) NULL,
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notes TEXT NULL,
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extraction_confidence FLOAT NOT NULL DEFAULT 0,
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queue_status VARCHAR(16) NOT NULL DEFAULT 'pending',
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extracted_at DATETIME NOT NULL,
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reviewed_by BIGINT UNSIGNED NULL,
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reviewed_at DATETIME NULL,
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reviewer_notes TEXT NULL,
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PRIMARY KEY (id),
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KEY idx_peptide (peptide_id),
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KEY idx_status (queue_status),
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KEY idx_confidence (extraction_confidence),
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KEY idx_peptide_status (peptide_id, queue_status)
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) {$charset};";
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dbDelta( $sql );
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}
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}
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