/**
 * Consistency Check Prompt Builder
 *
 * Phase 3: After all segments are generated, AI reviews the entire
 * script for tone consistency, flow, pacing, and logical connections.
 *
 * TR: Tutarlılık kontrolü — tüm segmentler üretildikten sonra ton, akış ve mantık kontrolü.
 */

export interface ConsistencyCheckInput {
  segments: {
    type: string;
    narratorScript: string;
    visualDescription?: string;
  }[];
  speechStyles: string[];
  targetAudience: string[];
  topic: string;
  language: string;
}

export function buildConsistencyCheckPrompt(input: ConsistencyCheckInput) {
  const segmentText = input.segments
    .map(
      (s, i) =>
        `[Segment ${i + 1} — ${s.type}]\n${s.narratorScript}\nVisual: ${s.visualDescription || 'N/A'}`,
    )
    .join('\n\n');

  const prompt = `You are a senior script editor and quality assurance specialist.

TASK: Review the entire script below for consistency, quality, and flow.

TOPIC: "${input.topic}"
SPEECH STYLE: ${input.speechStyles.join(', ')}
TARGET AUDIENCE: ${input.targetAudience.join(', ')}
LANGUAGE: ${input.language}

FULL SCRIPT:
${segmentText}

EVALUATE AND PROVIDE:
1. "overallScore" — Quality score 1-100
2. "toneConsistency" — Score 1-10 for consistent tone/voice throughout
3. "flowScore" — Score 1-10 for smooth transitions and logical progression
4. "pacingScore" — Score 1-10 for good pacing (not too fast/slow)
5. "engagementScore" — Score 1-10 for how engaging the content is
6. "issues" — Array of specific issues found:
   - "segmentIndex": which segment (0-based)
   - "type": "tone_mismatch" | "flow_break" | "pacing_issue" | "repetition" | "logic_gap" | "weak_content"
   - "description": human-readable explanation
   - "severity": "low" | "medium" | "high"
   - "suggestedFix": how to fix this issue
7. "segmentsToRewrite" — Array of segment indexes (0-based) that should be rewritten
8. "generalSuggestions" — Overall improvement suggestions (max 5)

Be rigorous but fair. Only flag genuine issues that would impact the audience experience.
Respond in ${input.language}.`;

  const schema = {
    type: 'object' as const,
    properties: {
      overallScore: { type: 'number' as const },
      toneConsistency: { type: 'number' as const },
      flowScore: { type: 'number' as const },
      pacingScore: { type: 'number' as const },
      engagementScore: { type: 'number' as const },
      issues: {
        type: 'array' as const,
        items: {
          type: 'object' as const,
          properties: {
            segmentIndex: { type: 'number' as const },
            type: { type: 'string' as const },
            description: { type: 'string' as const },
            severity: { type: 'string' as const },
            suggestedFix: { type: 'string' as const },
          },
        },
      },
      segmentsToRewrite: {
        type: 'array' as const,
        items: { type: 'number' as const },
      },
      generalSuggestions: {
        type: 'array' as const,
        items: { type: 'string' as const },
      },
    },
    required: [
      'overallScore',
      'toneConsistency',
      'flowScore',
      'pacingScore',
      'engagementScore',
      'issues',
      'segmentsToRewrite',
      'generalSuggestions',
    ],
  };

  return { prompt, temperature: 0.3, schema: JSON.stringify(schema) };
}