feat(prompts): versioned prompt registry, v1 seed, pinning + stamping
Pipeline v2 Phase 1, commit 2/4. Prompt_Registry (read) + Prompt_Registry_Writer (immutable create/activate/seed) over the new prompts table; canonical v1 bodies extracted verbatim into Prompt_Defaults(+Editorial) — single source for BOTH the seed migration (Migrate_Prompt_Seed_V0180, flag-gated, self-healing) and the in-code fallback, so a missing table renders byte-identical prompts and never fatals. Call sites swapped: Content_Prompts, Analysis_Prompts, Chief_Editor, LLM_Research_Provider. Includes the image-composer seam keys image.rewriter_system + image.style_template (composer PR consumes, must not add its own prompt storage). Pinning: Cost_Tracker::set_run_id() registers the process run context, ensures the runs ledger row, and pins active versions once per run; log_api_call/log_image_generation stamp prompt_version (run pins) + agent_role (stage map) on every generation_log row. Single-pass keeps stage 'draft' and stamps content.single_pass explicitly. Under-300 refactors: Content_Generator's four duplicated span/log blocks consolidated into execute_stage() (301 -> 224 lines, behavior identical); get_avg_tokens_for_stages body moved to Cost_Reporter with a delegating wrapper kept for API compatibility. Tests: byte-identical fallback renders (single_pass/outline/polish/ editor.system), token filling, key coverage incl. stage-map integrity. Agent-Session: pipeline-v2-phase1-engineer-20260612
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@@ -140,4 +140,62 @@ class PRAutoBlogger_Cost_Reporter {
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}
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return ( $this->get_monthly_spend() / $budget ) * 100.0;
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}
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/**
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* Get average input/output token counts for given stages over a time period.
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*
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* Used by the model picker field renderer to calculate estimated costs
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* per generation based on historical token usage. Maps setting IDs to their
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* constituting stages (e.g., writing model controls outline + draft + polish).
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* Moved here from Cost_Tracker in v0.18.0 (read-only reporting query;
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* Cost_Tracker keeps a delegating wrapper for API compatibility).
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*
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* @param array<string> $stages Stage names ('analysis', 'outline', 'draft', 'polish', 'review').
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* @param int $days Historical window (default 30 days).
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*
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* @return array{avg_prompt_tokens: float, avg_completion_tokens: float, sample_size: int}
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* Returns empty counters if no history. Never throws.
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*/
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public function get_avg_tokens_for_stages( array $stages, int $days = 30 ): array {
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global $wpdb;
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if ( empty( $stages ) ) {
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return array(
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'avg_prompt_tokens' => 0.0,
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'avg_completion_tokens' => 0.0,
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'sample_size' => 0,
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);
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}
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$cutoff_datetime = gmdate( 'Y-m-d H:i:s', time() - ( $days * DAY_IN_SECONDS ) );
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$stage_list = implode( ',', array_map( array( $wpdb, 'prepare' ), array_fill( 0, count( $stages ), '%s' ), $stages ) );
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$table_name = $wpdb->prefix . 'prautoblogger_generation_log';
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// phpcs:ignore WordPress.DB.PreparedSQL.InterpolatedNotPrepared -- Prepared stage list via array_map + prepare
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$query = $wpdb->prepare(
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"SELECT AVG(prompt_tokens) as avg_prompt,
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AVG(completion_tokens) as avg_completion,
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COUNT(*) as sample_count
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FROM $table_name
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WHERE stage IN ( $stage_list )
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AND created_at >= %s",
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$cutoff_datetime
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);
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// phpcs:ignore WordPress.DB.PreparedSQL.NotPrepared -- phpcs pragma above
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$result = $wpdb->get_row( $query, ARRAY_A );
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if ( ! $result || 0 === (int) ( $result['sample_count'] ?? 0 ) ) {
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return array(
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'avg_prompt_tokens' => 0.0,
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'avg_completion_tokens' => 0.0,
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'sample_size' => 0,
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);
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}
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return array(
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'avg_prompt_tokens' => (float) ( $result['avg_prompt'] ?? 0 ),
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'avg_completion_tokens' => (float) ( $result['avg_completion'] ?? 0 ),
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'sample_size' => (int) ( $result['sample_count'] ?? 0 ),
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);
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}
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}
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