a8ba7a8ea9
Closes #119 - Extract PRAutoBlogger_Image_Scene_Parser from image prompt builder (331→300 lines) - Add frozen eval dataset (20 peptide topics at eval/dataset.json) - Add LLM-as-judge scorer (gemini-flash-1.5 via OpenRouter, 3 axes) - Add eval runner orchestrator with dry-run and Opik push support - Add WP-CLI command: wp prautoblogger opik:eval [--limit=<n>] [--dry-run] - Add image pipeline Opik instrumentation (image_prompt_rewrite span) - Add content generator eval mode (suppresses publish + image gen) - Version: v0.13.0
92 lines
2.7 KiB
PHP
92 lines
2.7 KiB
PHP
<?php
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declare(strict_types=1);
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/**
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* Parses LLM output into scene/caption pairs and synthesises fallback prompts
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* from article titles when the LLM call fails.
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*
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* Who calls it: PRAutoBlogger_Image_Prompt_Builder (static calls).
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* Dependencies: None.
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*/
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class PRAutoBlogger_Image_Scene_Parser {
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/**
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* Parse the LLM response into separate scene and caption parts.
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*
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* Expected format from the LLM:
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* Scene description text here.
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*
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* "Caption punchline here."
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*
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* Falls back gracefully: if no blank-line separator is found, the entire
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* response becomes the scene with an empty caption.
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*
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* @param string $raw Raw LLM response text.
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* @return array{scene: string, caption: string}
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*/
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public static function parse_scene_and_caption( string $raw ): array {
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// Split on blank line (the format the system prompt requests).
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$parts = preg_split( '/\n\s*\n/', $raw, 2 );
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if ( count( $parts ) >= 2 ) {
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$scene = trim( $parts[0] );
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$caption = trim( $parts[1] );
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// Strip surrounding quotes from caption — the LLM wraps it in quotes.
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$caption = trim( $caption, '"\'' );
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return array(
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'scene' => $scene,
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'caption' => $caption,
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);
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}
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// No blank-line separator found — treat entire response as scene.
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return array(
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'scene' => trim( $raw ),
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'caption' => '',
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);
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}
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/**
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* Extract the first paragraph from HTML content.
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*
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* Removes all tags and captures the text up to the first double-newline
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* or 200 characters, whichever comes first.
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*
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* @param string $html HTML content.
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* @return string Plain text of the first paragraph.
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*/
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public static function extract_first_paragraph( string $html ): string {
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$text = wp_strip_all_tags( $html );
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$paras = preg_split( '/\n\n+/', $text );
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$para = isset( $paras[0] ) ? trim( $paras[0] ) : '';
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if ( strlen( $para ) > 200 ) {
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$para = substr( $para, 0, 200 ) . '...';
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}
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return $para;
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}
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/**
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* Rule-based fallback when LLM rewriting is unavailable.
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*
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* Kept deliberately simple — this only runs if OpenRouter is down.
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*
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* @param string $title Main heading / topic.
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* @param string $supporting_text Additional context.
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* @return array{scene: string, caption: string} Scene for image gen, caption for HTML.
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*/
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public static function synthesize_visual_concepts_fallback( string $title, string $supporting_text ): array {
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// Fallback produces a simple comic concept when the LLM is unavailable.
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$scene = sprintf(
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'A cartoon scientist in a lab coat looking bewildered while examining something related to: %s.',
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$title
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);
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return array(
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'scene' => trim( $scene ),
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'caption' => 'Science is full of surprises.',
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);
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}
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}
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