<script lang="ts">
  import type { MonsterGeneratorProps, MonsterWorkflowState, CaptionType, CaptionLength, MonsterStats } from '$lib/types';
  import UploadStep from './UploadStep.svelte';
  import WorkflowProgress from './WorkflowProgress.svelte';
  import MonsterResult from './MonsterResult.svelte';
  import { makeWhiteTransparent } from '$lib/utils/imageProcessing';
  import { saveMonster } from '$lib/db/monsters';
  
  interface Props extends MonsterGeneratorProps {}
  
  let { joyCaptionClient, rwkvClient, fluxClient }: Props = $props();
  
  let state: MonsterWorkflowState = $state({
    currentStep: 'upload',
    userImage: null,
    imageCaption: null,
    monsterConcept: null,
    imagePrompt: null,
    monsterImage: null,
    error: null,
    isProcessing: false
  });
  
  // Prompt templates
  const MONSTER_CONCEPT_PROMPT = (caption: string) => `User: Based on this image caption: "${caption}"

Come up with a monster idea (in the vein of Pokémon) that incorporates properties of what the pictured object is.
Assess how unique the pictured object is. If the image is not very unique then it should result in weak & common monster.
Meanwhile if the image is very unique the monster should be unique and powerful.

Create a creature that reflects the essence, materials, function, and characteristics of the object. Consider:
- What the object is made of (metal, wood, fabric, etc.)
- How it functions or is used
- Its physical properties (hard, soft, hot, cold, etc.)
- Its cultural or symbolic meaning
- Its shape, texture, and visual characteristics

The monster should have unique strengths and weaknesses based on these properties.

Include:
- Physical appearance and distinguishing features
- Special abilities or powers  
- Personality traits
- Habitat or origin

Assistant: **Monster Name:**`;

  const IMAGE_GENERATION_PROMPT = (concept: string) => `User: Convert this monster concept into a clear and succinct description of its appearance:
"${concept}"

Include all of its visual details, format the description as a single long sentence.

Assistant:`;
  
  const MONSTER_STATS_PROMPT = (concept: string) => `User: Convert the following monster concept into a JSON object with stats:

"${concept}"

The output should be formatted as a JSON instance that conforms to the JSON schema below.

As an example, for the schema {"properties": {"foo": {"title": "Foo", "description": "a list of strings", "type": "array", "items": {"type": "string"}}}, "required": ["foo"]}
the object {"foo": ["bar", "baz"]} is a well-formatted instance of the schema. The object {"properties": {"foo": ["bar", "baz"]}} is not well-formatted.

Here is the output schema:
\`\`\`
{
  "properties": {
    "name": {"type": "string", "description": "The monster's unique name"},
    "description": {"type": "string", "description": "A brief physical description of the monster's appearance"},
    "rarity": {"type": "integer", "minimum": 0, "maximum": 100, "description": "How rare/unique the monster is (0=very common, 100=legendary)"},
    "HP": {"type": "integer", "minimum": 0, "maximum": 100, "description": "Health/vitality stat (0=fragile, 100=incredibly tanky)"},
    "defence": {"type": "integer", "minimum": 0, "maximum": 100, "description": "Defensive/armor stat (0=paper thin, 100=impenetrable fortress)"},
    "attack": {"type": "integer", "minimum": 0, "maximum": 100, "description": "Physical attack power (0=harmless, 100=devastating force)"},
    "speed": {"type": "integer", "minimum": 0, "maximum": 100, "description": "Movement and reaction speed (0=immobile, 100=lightning fast)"},
    "specialPassiveTraitDescription": {"type": "string", "description": "Describe a passive ability that gives this monster a unique advantage in battle"},
    "attackActionName": {"type": "string", "description": "Name of the monster's primary damage-dealing attack (e.g., 'Flame Burst', 'Toxic Bite')"},
    "attackActionDescription": {"type": "string", "description": "Describe how this attack damages the opponent and any special effects"},
    "buffActionName": {"type": "string", "description": "Name of the monster's self-enhancement ability (e.g., 'Iron Defense', 'Speed Boost')"},
    "buffActionDescription": {"type": "string", "description": "Describe which stats are boosted and how this improves the monster's battle performance"},
    "debuffActionName": {"type": "string", "description": "Name of the monster's enemy-weakening ability (e.g., 'Intimidate', 'Slow Poison')"},
    "debuffActionDescription": {"type": "string", "description": "Describe which enemy stats are lowered and how this weakens the opponent"},
    "specialActionName": {"type": "string", "description": "Name of the monster's ultimate move (one use per battle)"},
    "specialActionDescription": {"type": "string", "description": "Describe this powerful finishing move and its dramatic effects in battle"}
  },
  "required": ["name", "description", "rarity", "HP", "defence", "attack", "speed", "specialPassiveTraitDescription",
    "attackActionName", "attackActionDescription", "buffActionName", "buffActionDescription",
    "debuffActionName", "debuffActionDescription", "specialActionName", "specialActionDescription"]
}
\`\`\`

Remember to base the stats on how unique/powerful the original object was. Common objects should have lower stats, unique objects should have higher stats.

Assistant: \`\`\`json`;
  
  async function handleImageSelected(file: File) {
    if (!joyCaptionClient || !rwkvClient || !fluxClient) {
      state.error = "Services not connected. Please wait...";
      return;
    }
    
    state.userImage = file;
    state.error = null;
    startWorkflow();
  }
  
  async function startWorkflow() {
    state.isProcessing = true;
    
    try {
      // Step 1: Caption the image
      await captionImage();
      await new Promise(resolve => setTimeout(resolve, 100)); // Small delay for state update
      
      // Step 2: Generate monster concept
      await generateMonsterConcept();
      await new Promise(resolve => setTimeout(resolve, 100)); // Small delay for state update
      
      // Step 3: Generate monster stats
      await generateStats();
      await new Promise(resolve => setTimeout(resolve, 100)); // Small delay for state update
      
      // Step 4: Generate image prompt
      await generateImagePrompt();
      await new Promise(resolve => setTimeout(resolve, 100)); // Small delay for state update
      
      // Step 5: Generate monster image
      await generateMonsterImage();
      
      // Step 6: Auto-save the monster
      await autoSaveMonster();
      
      state.currentStep = 'complete';
    } catch (err) {
      console.error('Workflow error:', err);
      
      // Check for GPU quota error
      if (err && typeof err === 'object' && 'message' in err) {
        const errorMessage = String(err.message);
        if (errorMessage.includes('exceeded your GPU quota') || errorMessage.includes('GPU quota')) {
          state.error = 'GPU quota exceeded! You need to sign in with Hugging Face for free GPU time, or upgrade to Hugging Face Pro for more quota.';
        } else {
          state.error = errorMessage;
        }
      } else if (err instanceof Error) {
        state.error = err.message;
      } else {
        state.error = 'An unknown error occurred';
      }
    } finally {
      state.isProcessing = false;
    }
  }
  
  function handleAPIError(error: any): never {
    console.error('API Error:', error);
    
    // Check if it's a GPU quota error
    if (error && typeof error === 'object' && 'message' in error) {
      const errorMessage = String(error.message);
      if (errorMessage.includes('exceeded your GPU quota') || errorMessage.includes('GPU quota')) {
        throw new Error('GPU quota exceeded! You need to sign in with Hugging Face for free GPU time, or upgrade to Hugging Face Pro for more quota.');
      }
      throw new Error(errorMessage);
    }
    
    // Check if error has a different structure (like the status object from the logs)
    if (error && typeof error === 'object' && 'type' in error && error.type === 'status') {
      const statusError = error as any;
      if (statusError.message && statusError.message.includes('GPU quota')) {
        throw new Error('GPU quota exceeded! You need to sign in with Hugging Face for free GPU time, or upgrade to Hugging Face Pro for more quota.');
      }
      throw new Error(statusError.message || 'API request failed');
    }
    
    throw error;
  }
  
  async function captionImage() {
    state.currentStep = 'captioning';
    
    if (!joyCaptionClient || !state.userImage) {
      throw new Error('Caption service not available or no image provided');
    }
    
    try {
      const output = await joyCaptionClient.predict("/stream_chat", [
        state.userImage,
        "Descriptive" as CaptionType,
        "very long" as CaptionLength,
        [], // extra_options
        "", // name_input
        ""  // custom_prompt
      ]);
      
      const [prompt, caption] = output.data;
      state.imageCaption = caption;
      console.log('Caption generated:', caption);
    } catch (error) {
      handleAPIError(error);
    }
  }
  
  async function generateMonsterConcept() {
    state.currentStep = 'conceptualizing';
    
    if (!rwkvClient || !state.imageCaption) {
      throw new Error('Text generation service not available or no caption');
    }
    
    const conceptPrompt = MONSTER_CONCEPT_PROMPT(state.imageCaption);
    
    console.log('Generating monster concept with prompt:', conceptPrompt);
    
    try {
      const output = await rwkvClient.predict(0, [
        conceptPrompt,
        600,   // maxTokens
        0.7,   // temperature
        0.8,   // topP
        0.1,   // presencePenalty
        0.1    // countPenalty
      ]);
      
      console.log('RWKV output:', output);
      let conceptText = output.data[0];
      
      // Drop any text after "User:" to prevent additional prompting
      const userIndex = conceptText.indexOf('User:');
      if (userIndex !== -1) {
        conceptText = conceptText.substring(0, userIndex).trim();
      }
      
      state.monsterConcept = conceptText;
      console.log('Monster concept generated:', state.monsterConcept);
      
      if (!state.monsterConcept || state.monsterConcept.trim() === '') {
        throw new Error('Failed to generate monster concept - received empty response');
      }
    } catch (error) {
      handleAPIError(error);
    }
  }
  
  async function generateImagePrompt() {
    state.currentStep = 'promptCrafting';
    
    if (!rwkvClient || !state.monsterConcept) {
      throw new Error('Text generation service not available or no concept');
    }
    
    const promptGenerationPrompt = IMAGE_GENERATION_PROMPT(state.monsterConcept);
    
    console.log('Generating image prompt from concept');
    
    try {
      const output = await rwkvClient.predict(0, [
        promptGenerationPrompt,
        600,   // maxTokens
        0.7,   // temperature
        0.8,   // topP
        0.1,   // presencePenalty
        0.1    // countPenalty
      ]);
      
      console.log('Image prompt output:', output);
      let promptText = output.data[0];
      
      // Drop any text after "User:" to prevent additional prompting
      const userIndex = promptText.indexOf('User:');
      if (userIndex !== -1) {
        promptText = promptText.substring(0, userIndex).trim();
      }
      
      state.imagePrompt = promptText;
      console.log('Image prompt generated:', state.imagePrompt);
      
      if (!state.imagePrompt || state.imagePrompt.trim() === '') {
        throw new Error('Failed to generate image prompt - received empty response');
      }
    } catch (error) {
      handleAPIError(error);
    }
  }
  
  async function generateMonsterImage() {
    state.currentStep = 'generating';
    
    if (!fluxClient || !state.imagePrompt) {
      throw new Error('Image generation service not available or no prompt');
    }
    
    try {
      const output = await fluxClient.predict("/infer", [
        `${state.imagePrompt}\nNow generate an Anime-style image of the monster in an idle pose with a white background. The monster should not be attacking or in motion. The full monster must be visible within the frame.`,
        0,      // seed
        true,   // randomizeSeed
        1024,   // width
        1024,   // height
        4       // steps
      ]);
      
      const [image, usedSeed] = output.data;
      let url: string | undefined;
      
      if (typeof image === "string") url = image;
      else if (image && image.url) url = image.url;
      else if (image && image.path) url = image.path;
      
      if (url) {
        // Process the image to make white background transparent
        console.log('Processing image for transparency...');
        try {
          const transparentBase64 = await makeWhiteTransparent(url);
          state.monsterImage = {
            imageUrl: url,
            imageData: transparentBase64,
            seed: usedSeed,
            prompt: state.imagePrompt
          };
        } catch (processError) {
          console.error('Failed to process image for transparency:', processError);
          // Fallback to original image
          state.monsterImage = {
            imageUrl: url,
            seed: usedSeed,
            prompt: state.imagePrompt
          };
        }
      } else {
        throw new Error('Failed to generate monster image');
      }
    } catch (error) {
      handleAPIError(error);
    }
  }
  
  async function generateStats() {
    state.currentStep = 'statsGenerating';
    
    if (!rwkvClient || !state.monsterConcept) {
      throw new Error('Text generation service not available or no concept');
    }
    
    const statsPrompt = MONSTER_STATS_PROMPT(state.monsterConcept);
    
    console.log('Generating monster stats from concept');
    
    try {
      const output = await rwkvClient.predict(0, [
        statsPrompt,
        500,   // maxTokens - more for JSON
        0.3,   // temperature - lower for structured output
        0.9,   // topP
        0.0,  // presencePenalty - lower for JSON
        0.0   // countPenalty
      ]);
      
      console.log('Stats output:', output);
      let jsonString = output.data[0];
      
      // Drop any text after "User:" to prevent additional prompting
      const userIndex = jsonString.indexOf('User:');
      if (userIndex !== -1) {
        jsonString = jsonString.substring(0, userIndex).trim();
      }
      
      // Extract JSON from the response (remove markdown if present)
      let cleanJson = jsonString;
      if (jsonString.includes('```')) {
        const matches = jsonString.match(/```(?:json)?\s*([\s\S]*?)```/);
        if (matches) {
          cleanJson = matches[1];
        } else {
          // If no closing ```, just remove the opening ```json
          cleanJson = jsonString.replace(/^```(?:json)?\s*/, '').replace(/```\s*$/, '');
        }
      }
      
      try {
        // Remove any trailing text after the JSON object
        const jsonMatch = cleanJson.match(/^\s*\{[\s\S]*?\}\s*/);
        if (jsonMatch) {
          cleanJson = jsonMatch[0];
        }
        
        const parsedStats = JSON.parse(cleanJson.trim());
        
        // Remove any extra fields not in our schema
        const allowedFields = ['name', 'description', 'rarity', 'HP', 'defence', 'attack', 'speed',
          'specialPassiveTraitDescription', 'attackActionName', 'attackActionDescription',
          'buffActionName', 'buffActionDescription', 'debuffActionName', 'debuffActionDescription',
          'specialActionName', 'specialActionDescription', 'boostActionName', 'boostActionDescription',
          'disparageActionName', 'disparageActionDescription'];
        
        for (const key in parsedStats) {
          if (!allowedFields.includes(key)) {
            delete parsedStats[key];
          }
        }
        
        // Ensure numeric fields are actually numbers
        const numericFields = ['rarity', 'HP', 'defence', 'attack', 'speed'];
        
        for (const field of numericFields) {
          if (parsedStats[field] !== undefined) {
            // Convert string numbers to actual numbers
            parsedStats[field] = parseInt(parsedStats[field]);
            
            // Clamp to 0-100 range
            parsedStats[field] = Math.max(0, Math.min(100, parsedStats[field]));
          }
        }
        
        // Map field names from schema to interface
        if (parsedStats.specialPassiveTraitDescription) {
          parsedStats.specialPassiveTrait = parsedStats.specialPassiveTraitDescription;
          delete parsedStats.specialPassiveTraitDescription;
        }
        
        // Handle potential old field names from LLM
        if (parsedStats.boostActionName) {
          parsedStats.buffActionName = parsedStats.boostActionName;
          delete parsedStats.boostActionName;
        }
        if (parsedStats.boostActionDescription) {
          parsedStats.buffActionDescription = parsedStats.boostActionDescription;
          delete parsedStats.boostActionDescription;
        }
        if (parsedStats.disparageActionName) {
          parsedStats.debuffActionName = parsedStats.disparageActionName;
          delete parsedStats.disparageActionName;
        }
        if (parsedStats.disparageActionDescription) {
          parsedStats.debuffActionDescription = parsedStats.disparageActionDescription;
          delete parsedStats.disparageActionDescription;
        }
        
        const stats: MonsterStats = parsedStats;
        state.monsterStats = stats;
        console.log('Monster stats generated:', stats);
        console.log('Monster stats JSON:', JSON.stringify(stats, null, 2));
      } catch (parseError) {
        console.error('Failed to parse JSON:', parseError, 'Raw output:', cleanJson);
        throw new Error('Failed to parse monster stats JSON');
      }
    } catch (error) {
      handleAPIError(error);
    }
  }
  
  async function autoSaveMonster() {
    if (!state.monsterImage || !state.imageCaption || !state.monsterConcept || !state.imagePrompt || !state.monsterStats) {
      console.error('Cannot auto-save: missing required data');
      return;
    }
    
    try {
      // Create a clean copy of stats to ensure it's serializable
      const cleanStats = JSON.parse(JSON.stringify(state.monsterStats));
      
      const monsterData = {
        name: state.monsterStats.name,
        imageUrl: state.monsterImage.imageUrl,
        imageData: state.monsterImage.imageData,
        imageCaption: state.imageCaption,
        concept: state.monsterConcept,
        imagePrompt: state.imagePrompt,
        stats: cleanStats
      };
      
      // Check for any non-serializable data
      console.log('Checking monster data for serializability:');
      console.log('- name type:', typeof monsterData.name);
      console.log('- imageUrl type:', typeof monsterData.imageUrl);
      console.log('- imageData type:', typeof monsterData.imageData, monsterData.imageData ? `length: ${monsterData.imageData.length}` : 'null/undefined');
      console.log('- imageCaption type:', typeof monsterData.imageCaption);
      console.log('- concept type:', typeof monsterData.concept);
      console.log('- imagePrompt type:', typeof monsterData.imagePrompt);
      console.log('- stats:', cleanStats);
      
      const id = await saveMonster(monsterData);
      console.log('Monster auto-saved with ID:', id);
    } catch (err) {
      console.error('Failed to auto-save monster:', err);
      console.error('Monster data that failed to save:', {
        name: state.monsterStats?.name,
        hasImageUrl: !!state.monsterImage?.imageUrl,
        hasImageData: !!state.monsterImage?.imageData,
        hasStats: !!state.monsterStats
      });
      // Don't throw - we don't want to interrupt the workflow
    }
  }
  
  function reset() {
    state = {
      currentStep: 'upload',
      userImage: null,
      imageCaption: null,
      monsterConcept: null,
      monsterStats: null,
      imagePrompt: null,
      monsterImage: null,
      error: null,
      isProcessing: false
    };
  }
</script>

<div class="monster-generator">
  
  {#if state.currentStep !== 'upload'}
    <WorkflowProgress currentStep={state.currentStep} error={state.error} />
  {/if}
  
  {#if state.currentStep === 'upload'}
    <UploadStep 
      onImageSelected={handleImageSelected}
      isProcessing={state.isProcessing}
    />
  {:else if state.currentStep === 'complete'}
    <MonsterResult workflowState={state} onReset={reset} />
  {:else}
    <div class="processing-container">
      <div class="spinner"></div>
      <p class="processing-text">
        {#if state.currentStep === 'captioning'}
          Analyzing your image...
        {:else if state.currentStep === 'conceptualizing'}
          Creating monster concept...
        {:else if state.currentStep === 'statsGenerating'}
          Generating battle stats...
        {:else if state.currentStep === 'promptCrafting'}
          Crafting generation prompt...
        {:else if state.currentStep === 'generating'}
          Generating your monster...
        {/if}
      </p>
    </div>
  {/if}
</div>

<style>
  .monster-generator {
    width: 100%;
    max-width: 1200px;
    margin: 0 auto;
    padding: 2rem;
  }
  
  
  .processing-container {
    display: flex;
    flex-direction: column;
    align-items: center;
    padding: 3rem 1rem;
  }
  
  .spinner {
    width: 60px;
    height: 60px;
    border: 3px solid #f3f3f3;
    border-top: 3px solid #007bff;
    border-radius: 50%;
    animation: spin 1s linear infinite;
    margin-bottom: 2rem;
  }
  
  @keyframes spin {
    0% { transform: rotate(0deg); }
    100% { transform: rotate(360deg); }
  }
  
  .processing-text {
    font-size: 1.2rem;
    color: #333;
    margin-bottom: 2rem;
  }
  
</style>