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- All 49 PHP includes files: expand minimal file docblocks to include a short description (satisfies Generic.Commenting.DocComment.MissingShort) Format: <?php\n/**\n * Filename-derived description.\n *\n * @package ...\n */ - settings.php delegation stubs: add compact docblocks to all 8 render_* methods (Squiz.Commenting.FunctionComment.Missing, lines 93-231) - settings.php: compress mirrored @var constant docblocks to single-line; remove redundant intermediate class docblock → 273 lines (was 315) - rest-controller.php: compress 1 mirrored @var docblock → 298 lines - migration-0004: compress 4 property docblocks → 288 lines - verification-widget.php line 111: cast days_since to int + phpcs:ignore - verification-metabox.php line 80: phpcs:ignore on hardcoded badge_class - peptide-metaboxes.php line 86: phpcs:ignore EscapeOutput (esc_attr'd above) - peptide-metaboxes.php lines 147/148: Yoda null !== dose_min/dose_max - peptide-metaboxes.php line 248: phpcs:ignore InputNotSanitized (isset only) - peptide-metaboxes.php line 259: wrap pr_core_editorial_review_status in wp_unslash() - peptide-metaboxes.php line 262: Yoda 'published' !== old_status Agent-Session: claude-adopt-ci-20260616
89 lines
2.5 KiB
PHP
89 lines
2.5 KiB
PHP
<?php
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/**
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* Migration 0003 Candidate Queue.
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*
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* @package Peptide_Repo_Core
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*/
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declare(strict_types=1);
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/**
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* Creates the AI-extracted dosing candidate queue table
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*
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* @package Peptide_Repo_Core
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*/
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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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/**
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* Valid queue status enum values.
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*
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* @var string[] Valid queue status enum values.
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*/
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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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