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pr-vision/includes/collector/class-pgm-ai-visibility-collector.php
peptiderepo 46fda89e18 peptide-geo-monitor v0.1.0: internal AI-visibility dashboard (#1)
New internal plugin: weekly LLM probes of core peptides (Perplexity sonar + GPT/Gemini-search via OpenRouter/CF gateway) -> custom table -> wp-admin trendline + standings. Provider interface + cost ledger w/ hard $5/mo cap + collector/panel seam (AI-visibility only). v1 = AI-visibility only.

QA: APPROVE-WITH-P2-NOTES — qa-reviews/peptide-geo-monitor/2026-06-13-f488f4a966cbb9e771d3abc20daee3fa49074520.md (P2 follow-ups: ltrim www display bug, PHPCS mandatory, dead cache)

Agent-Session: geomonitor v0.1.0 merge
2026-06-13 15:34:33 +07:00

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<?php
declare(strict_types=1);
/**
* AI-visibility data collector — v1 implementation of PGM_Data_Collector.
*
* Reads the pgm_ai_visibility table and returns structured data for:
* - Trendline: per-run visibility score (% cited, position-weighted).
* - Standings: per-peptide latest cited status, our position, competing domains.
* - Run metadata: last run time, MTD cost vs cap.
*
* Score formula (documented in CONTEXT.md):
* base_score = cited_probes / total_probes (range 0–1)
* position_bonus = Σ (1 / our_position) for cited probes / total_probes
* visibility_score = round((base_score + position_bonus) / 2, 4)
*
* Who triggers: PGM_Admin_Page calls the registered collector via the registry.
* Dependencies: $wpdb, PGM_Table_Manager, PGM_Cost_Ledger, PGM_Config.
*
* @see interface-pgm-data-collector.php — Interface this implements.
* @see class-pgm-ai-visibility-panel.php — Renders the data returned here.
* @see CONTEXT.md — Score formula + glossary.
* @see ARCHITECTURE.md — §Storage, §Score.
* @package PeptideGeoMonitor
*/
class PGM_Ai_Visibility_Collector implements PGM_Data_Collector {
/**
* @var PGM_Cost_Ledger
*/
private PGM_Cost_Ledger $ledger;
/**
* @param PGM_Cost_Ledger|null $ledger Injected for testing.
*/
public function __construct( ?PGM_Cost_Ledger $ledger = null ) {
$this->ledger = $ledger ?? new PGM_Cost_Ledger();
}
/**
* {@inheritDoc}
*
* @return array{
* trendline: array<int, array{run_id: string, captured_at: string, score: float}>,
* standings: array<string, array{label: string, cited: bool, our_position: int|null, top_domains: string[], model_count: int}>,
* last_run_at: string|null,
* mtd_cost_usd: float,
* monthly_cap_usd: float,
* }
*/
public function collect(): array {
global $wpdb;
$table = PGM_Table_Manager::get_table_name();
// ── Trendline: one score per run_id ────────────────────────────
// phpcs:ignore WordPress.DB.DirectDatabaseQuery.DirectQuery, WordPress.DB.DirectDatabaseQuery.NoCaching
$run_rows = $wpdb->get_results(
// phpcs:ignore WordPress.DB.PreparedSQL.InterpolatedNotPrepared
"SELECT run_id, MIN(captured_at) AS captured_at,
SUM(cited) AS cited_count,
COUNT(*) AS total_count,
SUM(CASE WHEN our_position IS NOT NULL THEN 1.0/our_position ELSE 0 END) AS position_sum
FROM {$table}
GROUP BY run_id
ORDER BY MIN(captured_at) ASC
LIMIT 52",
ARRAY_A
);
$trendline = array();
foreach ( (array) $run_rows as $row ) {
$trendline[] = array(
'run_id' => (string) $row['run_id'],
'captured_at' => (string) $row['captured_at'],
'score' => $this->compute_score(
(int) $row['cited_count'],
(int) $row['total_count'],
(float) $row['position_sum']
),
);
}
// ── Standings: latest result per peptide ────────────────────────
// phpcs:ignore WordPress.DB.DirectDatabaseQuery.DirectQuery, WordPress.DB.DirectDatabaseQuery.NoCaching
$standing_rows = $wpdb->get_results(
// phpcs:ignore WordPress.DB.PreparedSQL.InterpolatedNotPrepared
"SELECT peptide_slug, peptide_label,
MAX(cited) AS cited,
MIN(CASE WHEN cited=1 THEN our_position ELSE NULL END) AS our_position,
GROUP_CONCAT(DISTINCT source_domains ORDER BY captured_at DESC SEPARATOR '|||') AS domains_json_list,
COUNT(DISTINCT model) AS model_count
FROM {$table}
WHERE run_id = (SELECT run_id FROM {$table} ORDER BY captured_at DESC LIMIT 1)
GROUP BY peptide_slug, peptide_label",
ARRAY_A
);
$standings = array();
foreach ( (array) $standing_rows as $row ) {
$top_domains = $this->extract_top_domains( (string) ( $row['domains_json_list'] ?? '' ) );
$standings[ (string) $row['peptide_slug'] ] = array(
'label' => (string) $row['peptide_label'],
'cited' => (bool) (int) $row['cited'],
'our_position' => null !== $row['our_position'] ? (int) $row['our_position'] : null,
'top_domains' => $top_domains,
'model_count' => (int) $row['model_count'],
);
}
// ── Run metadata ────────────────────────────────────────────────
// phpcs:ignore WordPress.DB.DirectDatabaseQuery.DirectQuery, WordPress.DB.DirectDatabaseQuery.NoCaching
$last_run = $wpdb->get_var(
// phpcs:ignore WordPress.DB.PreparedSQL.InterpolatedNotPrepared
"SELECT MAX(captured_at) FROM {$table}"
);
return array(
'trendline' => $trendline,
'standings' => $standings,
'last_run_at' => $last_run ? (string) $last_run : null,
'mtd_cost_usd' => $this->ledger->get_month_to_date_usd(),
'monthly_cap_usd' => PGM_Config::get_monthly_budget_usd(),
);
}
/**
* {@inheritDoc}
*/
public function get_key(): string {
return 'ai_visibility';
}
/**
* Compute the visibility score from a run's aggregate stats.
*
* See CONTEXT.md for the full formula explanation.
*
* @param int $cited_count Number of probes where we were cited.
* @param int $total_count Total probes in the run.
* @param float $position_sum Sum of (1/our_position) for cited probes.
*
* @return float Visibility score in range [0, 1].
*/
public function compute_score( int $cited_count, int $total_count, float $position_sum ): float {
if ( 0 === $total_count ) {
return 0.0;
}
$base_score = $cited_count / $total_count;
$position_bonus = $position_sum / $total_count;
return round( ( $base_score + $position_bonus ) / 2.0, 4 );
}
/**
* Extract and deduplicate the top domain names from a GROUP_CONCAT result.
*
* @param string $domains_json_list Pipe-separated JSON arrays from GROUP_CONCAT.
*
* @return string[] Up to 5 top domains.
*/
private function extract_top_domains( string $domains_json_list ): array {
if ( '' === $domains_json_list ) {
return array();
}
$all = array();
$chunks = explode( '|||', $domains_json_list );
foreach ( $chunks as $chunk ) {
$decoded = json_decode( $chunk, true );
if ( is_array( $decoded ) ) {
$all = array_merge( $all, $decoded );
}
}
$counts = array_count_values( $all );
arsort( $counts );
$top = array_slice( array_keys( $counts ), 0, 5 );
return array_values( array_filter( $top, fn( $d ) => PGM_TARGET_DOMAIN !== $d ) );
}
}