models/story_generator.py

from google.generativeai import GenerativeModel
import json
import re
import os
import datetime
import openai
import config
import time
from datetime import datetime


def log_execution(func):
    def wrapper(*args, **kwargs):
        start_time = time.time()
        start_str = datetime.fromtimestamp(start_time).strftime('%Y-%m-%d %H:%M:%S')
        
        result = func(*args, **kwargs)
        
        end_time = time.time()
        end_str = datetime.fromtimestamp(end_time).strftime('%Y-%m-%d %H:%M:%S')
        duration = end_time - start_time

        
        return result
    return wrapper

class StoryGenerator:
    """
    Direct story generator that creates comic panel style stories from user input.
    """

    def __init__(self):
        self.model = GenerativeModel('gemini-2.5-flash')
    @log_execution
    def log_prompt(self, prompt, log_file="story_prompt_logs.jsonl"):
        """Log the prompt to a file for debugging and improvement purposes."""
        log_entry = {
            "timestamp": datetime.datetime.now().isoformat(),
            "prompt": prompt
        }
        with open(log_file, "a", encoding="utf-8") as f:
            f.write(json.dumps(log_entry, ensure_ascii=False) + "\n")
    @log_execution
    def enhance_user_story(self, user_description, max_retries=3, current_retry=0):
        """
        Enhance the user's story with more vibrancy, detail, and narrative richness using
        optimized AI prompting techniques for visual storytelling with smart detail preservation.
        
        Args:
            user_description: The user's original story idea or prompt
            max_retries: Maximum number of retry attempts (default: 3)
            current_retry: Current retry attempt number (default: 0)
            
        Returns:
            enhanced_story: A more vibrant and detailed version of the story with preserved key elements
        """
        print(f"[StoryGenerator] Enhancing user story (attempt {current_retry + 1}/{max_retries}): {user_description[:100]}...")
        
        if current_retry >= max_retries:
            print(f"[StoryGenerator] Max retries reached, returning original description")
            return user_description
        
        try:
            enhancement_prompt = self._create_detail_focused_enhancement_prompt(user_description)
            
            self.log_prompt(enhancement_prompt)
            
            try:
                response = self.model.generate_content(enhancement_prompt)
                enhanced_story = response.text.strip()
                
                if self._validate_enhancement_quality(enhanced_story, user_description):
                    print(f"[StoryGenerator] Story successfully enhanced with detail preservation")
                    return enhanced_story
                else:
                    print(f"[StoryGenerator] Enhancement quality insufficient, using original with minimal enhancement")
                    return self._create_minimal_enhancement(user_description)
                
            except Exception as gemini_error:
                print(f"[StoryGenerator] Gemini API error: {gemini_error}")
                if current_retry < max_retries - 1:
                    print(f"[StoryGenerator] Retrying with simplified approach...")
                    return self._simplified_enhancement(user_description)
                else:
                    raise gemini_error
                    
        except Exception as e:
            print(f"[StoryGenerator] Enhancement error: {e}")
            if current_retry < max_retries - 1:
                import time
                time.sleep(1 * (current_retry + 1))  
                return self.enhance_user_story(user_description, max_retries, current_retry + 1)
            else:
                print(f"[StoryGenerator] All enhancement attempts failed, returning original")
                return user_description
    @log_execution

    def _create_detail_focused_enhancement_prompt(self, user_description):
        """Create a concise enhancement prompt that adds coherence and enough detail for the required number of scenes."""
        return f"""
        You are an expert visual storytelling assistant. Enhance the user's story concept to create a rich visual narrative.

        ORIGINAL STORY: "{user_description}"

        ENHANCEMENT GOALS:
        •   Define key character appearances (visual features, clothing).
        •   Establish a clear setting and atmosphere.
        •   Outline a logical scene progression that can be broken down into multiple action-focused panels.
        •   Ensure visual consistency for characters and locations.
        •   Descriptions should be concise yet vivid, focusing on elements crucial for an action-oriented digital comic.

        OUTPUT: Enhanced story description (2-3 paragraphs maximum) that provides a strong foundation for a multi-panel, action-focused visual story. Ensure the tone is suitable for a modern digital comic.
        """

    def _validate_enhancement_quality(self, enhanced_story, original_story):
        """Validate that the enhancement adds coherence and appropriate detail."""
        if not enhanced_story or len(enhanced_story) < 50:
            return False
        
        enhanced_words = len(enhanced_story.split())
        original_words = len(original_story.split())
        
        if enhanced_words < original_words or enhanced_words > original_words * 5:
            return False
        
        story_elements = ['character', 'scene', 'story', 'visual', 'setting', 'action']
        has_story_elements = sum(1 for element in story_elements if element.lower() in enhanced_story.lower())
        
        if has_story_elements < 2:
            return False
        
        similarity_threshold = 0.8
        original_lower = original_story.lower()
        enhanced_lower = enhanced_story.lower()
        
        common_words = set(original_lower.split()) & set(enhanced_lower.split())
        original_unique = len(set(original_lower.split()))
        
        if original_unique > 0:
            similarity = len(common_words) / original_unique
            if similarity > similarity_threshold and enhanced_words < original_words * 1.5:
                return False
        
        return True
    @log_execution

    def _create_minimal_enhancement(self, user_description):
        """Create minimal enhancement that preserves original while adding basic coherence for the required number of scenes."""
        
        enhanced = f"""
        Enhanced Story: {user_description}
        
        Visual Coherence Elements:
        - Main character with consistent appearance throughout all scenes
        - Clear setting that remains visually consistent
        - Logical progression suitable for the required number of sequential panels
        - Simple but complete story arc with beginning, middle, and end
        
        This story will unfold across the required number of scenes showing the character's journey with visual consistency and narrative coherence.
        """
        
        return enhanced.strip()
    @log_execution

    def _simplified_enhancement(self, user_description):
        """
        Simplified enhancement fallback when the main enhancement fails.
        
        Args:
            user_description: Original user story description
            
        Returns:
            str: Simplified enhanced description focused on coherence for the required number of scenes.
        """
        try:
            simplified_prompt = f"""
            Briefly enhance this story for an action-focused visual narrative. Keep it concise and coherent.

            Original: "{user_description}"

            Focus on:
            - Core character appearance notes.
            - Main setting description.
            - Basic story flow suitable for action scenes.
            - Visual consistency hints.

            Enhanced story (1-2 sentences):
            """
            
            response = self.model.generate_content(simplified_prompt)
            enhanced_story = response.text.strip()
            
            if enhanced_story and len(enhanced_story) > 20:
                print(f"[StoryGenerator] Used simplified enhancement successfully")
                return enhanced_story
            else:
                return user_description
                
        except Exception as e:
            print(f"[StoryGenerator] Simplified enhancement also failed: {e}")
            return user_description
    @log_execution
    def generate_story(self, user_description, panels_per_page=9, num_pages=1):
        """
        Generate a comic panel style story directly from user input.
        
        Args:
            user_description: The user's story idea or prompt
            panels_per_page: Number of panels per comic page (default is 8)
            num_pages: Number of pages to generate (default is 1)
            
        Returns:
            story_data: Structured data for the story with panels organized by pages
        """
        enhanced_story = self.enhance_user_story(user_description)

        panels_per_page = 9
        total_panels = panels_per_page * num_pages
        print(f"[StoryGenerator] Generating comic story with {num_pages} pages, {panels_per_page} panels per page ({total_panels} total panels) from enhanced story...")
        
        query = f"""
        You are a world-class comic book writer and visual storyteller. Your task is to create a SINGLE CONTINUOUS STORY.
        The story will span exactly {num_pages} pages. Each page must contain exactly {panels_per_page} sequential action-focused panels (total of {total_panels} panels).
        The final output must be a modern, digital-style comic with high quality and resolution, suitable for a 1024x1536 image size. **All {panels_per_page} panels must fit entirely within the page with clear gutters—no panel content may be cropped or cut off.**
        Avoid any deformities, missing limbs, distorted or missing facial features, blurry visuals, or sketch styles. Ensure all panels are exactly the same size.

        STORY CONCEPT:
        "{enhanced_story}"

        KEY REQUIREMENTS:
        1.  **Panel Count & Style**: Strictly {panels_per_page} action scenes per page. No filler. All scenes must be dynamic and contribute to the story's momentum.
        2.  **Visual Quality**: Generate ultra-high quality, modern digital comic art. Ensure no visual defects (deformities, missing limbs, distorted faces). All panels must be suitable for a combined 1024x1536 page layout.
        3.  **Continuity**:
            *   Story must flow seamlessly page-to-page and panel-to-panel.
            *   Maintain consistent character appearances (detailed in a character sheet you will generate) and settings (detailed in a setting guide you will generate).
            *   Logical plot progression: actions have clear causes and effects.
            *   Show passage of time clearly (e.g., "later," "next day").
        4.  **Narrative Structure**:
            *   Complete arc: beginning, rising action, climax, resolution.
            *   Meaningful character development and motivations.
        5.  **Visual Storytelling Focus**:
            *   Descriptions should emphasize actions, expressions, and settings to make the story understandable through visuals alone.
            *   Each panel description needs: camera angle, character positions, expressions, environment details, color palette, and mood.
            *   Focus on clear, dynamic action sequences.

        JSON OUTPUT STRUCTURE:
        {{
          "title": "Overall Story Title",
          "premise": "Brief story overview, themes, and setting.",
          "characters": [
            {{
              "name": "Character Name",
              "visual_description": "DETAILED visual description: height, build, face, hair, clothing. CRITICAL for consistency.",
              "traits": ["Key visual trait 1", "Key visual trait 2"],
              "background": "Brief backstory.",
              "arc": "Character's journey/change."
            }}
            // ... (add more characters as needed)
          ],
          "settings": [
            {{
              "name": "Setting Name",
              "description": "DETAILED visual description of the location, including key elements for consistency.",
              "visual_elements": ["Notable visual element 1", "Notable visual trait 2"],
              "mood": "Atmosphere of the location."
            }}
            // ... (add more settings as needed)
          ],
          "pages": [
            {{
              "page_number": 1,
              "panels": [ // Exactly {panels_per_page} panels
                {{
                  "panel_number": 1,
                  "title": "Action-Oriented Panel Title",
                  "visual_description": "ACTION-FOCUSED, extremely detailed description: character actions, expressions, positions, environment, lighting, colors, camera angle. Ensure it fits 1024x1536 page context. NO FILLER.",
                  "text": "Dialogue/narration (context only, not for image)",
                  "purpose": "How this ACTION panel drives the story.",
                  "symbolism": "Any visual symbols."
                }}
                // ... (repeat for all {panels_per_page} panels on page 1)
              ]
            }}
            // ... (repeat for all {num_pages} pages)
          ]
        }}

        REMEMBER:
        - Focus on ACTION scenes. Eliminate all filler.
        - Visuals are paramount. Descriptions must be rich and allow for image generation that tells the story without text.
        - Adhere strictly to {panels_per_page} panels per page.
        - Ensure top-tier digital art quality with no visual errors.
        - All panels on a page contribute to a single 1024x1536 image.
        """
        
        self.log_prompt(query)
        response = self.model.generate_content(query)
        
        try:
            json_match = re.search(r'\{[\s\S]*\}', response.text, re.DOTALL)
            if json_match:
                json_str = json_match.group(0)
                
                json_str = self._fix_json(json_str)
                
                story_data = json.loads(json_str)
                
                story_data = self._validate_and_fix_structure(story_data, panels_per_page, num_pages)
                
                print(f"[StoryGenerator] Successfully generated story: {story_data.get('title', 'Untitled')}")
                return story_data
            else:
                print("[StoryGenerator] No valid JSON found in response.")
                raise ValueError("No valid JSON found in response")
        except Exception as e:
            print(f"Error in StoryGenerator: {e}")
            return self._create_fallback_story(user_description, panels_per_page, num_pages)
    @log_execution
    def _validate_and_fix_structure(self, story_data, panels_per_page, num_pages):
        """Validate and fix the story structure if needed."""
        if "title" not in story_data:
            story_data["title"] = "Untitled Comic"
            
        if "premise" not in story_data:
            story_data["premise"] = "A visual story."
            
        if "characters" not in story_data:
            story_data["characters"] = []
        
        for character in story_data.get("characters", []):
            if "visual_description" not in character:
                character["visual_description"] = "A character in the story."
            if "traits" not in character:
                character["traits"] = []
            if "background" not in character:
                character["background"] = "Unknown background."
            if "arc" not in character:
                character["arc"] = "Experiences events throughout the story."
            
        if "settings" not in story_data:
            story_data["settings"] = []
            
        for setting in story_data.get("settings", []):
            if "description" not in setting:
                setting["description"] = "A location in the story."
            if "visual_elements" not in setting:
                setting["visual_elements"] = []
            if "mood" not in setting:
                setting["mood"] = "Neutral."
            
        if "pages" not in story_data:
            if "panels" in story_data:
                panels = story_data.pop("panels")
                story_data["pages"] = []
                
                for i in range(num_pages):
                    start_idx = i * panels_per_page
                    end_idx = start_idx + panels_per_page
                    page_panels = panels[start_idx:end_idx] if start_idx < len(panels) else []
                    
                    while len(page_panels) < panels_per_page:
                        panel_num = len(page_panels) + 1 + (i * panels_per_page)
                        page_panels.append({
                            "panel_number": panel_num,
                            "title": f"Panel {panel_num}",
                            "visual_description": "A placeholder panel",
                            "text": "",
                            "purpose": "Continuation of the story",
                            "symbolism": ""
                        })
                    
                    story_data["pages"].append({
                        "page_number": i + 1,
                        "panels": page_panels
                    })
            else:
                story_data["pages"] = []
                for i in range(num_pages):
                    page_panels = []
                    for j in range(panels_per_page):
                        panel_num = j + 1 + (i * panels_per_page)
                        page_panels.append({
                            "panel_number": panel_num,
                            "title": f"Panel {panel_num}",
                            "visual_description": "A placeholder panel",
                            "text": "",
                            "purpose": "Continuation of the story",
                            "symbolism": ""
                        })
                    
                    story_data["pages"].append({
                        "page_number": i + 1,
                        "panels": page_panels
                    })
        
        for i in range(len(story_data["pages"]) - 1):
            current_page = story_data["pages"][i]
            next_page = story_data["pages"][i + 1]
            
            if "panels" in current_page and "panels" in next_page and current_page["panels"] and next_page["panels"]:
                last_panel = current_page["panels"][-1]
                first_panel = next_page["panels"][0]
                
                last_panel_desc = last_panel.get("visual_description", "")
                last_panel_action = last_panel.get("text", "")
                
                continuity_note = f"Continues directly from page {current_page.get('page_number', i+1)}, panel {last_panel.get('panel_number', len(current_page['panels']))}: {last_panel_desc[:100]}..."
                
                first_panel["continuity_note"] = continuity_note
                
                if "visual_description" in first_panel:
                    if not first_panel["visual_description"].startswith("CONTINUING DIRECTLY"):
                        first_panel["visual_description"] = "CONTINUING DIRECTLY from previous page: " + first_panel["visual_description"]
        
        for i, page in enumerate(story_data["pages"]):
            if "page_number" not in page:
                page["page_number"] = i + 1
                
            if "panels" not in page:
                page["panels"] = []
                
            if len(page["panels"]) > panels_per_page:
                page["panels"] = page["panels"][:panels_per_page]
            
            while len(page["panels"]) < panels_per_page:
                panel_num = len(page["panels"]) + 1 + (i * panels_per_page)
                
                context_desc = ""
                if page["panels"]:
                    prev_panel = page["panels"][-1]
                    prev_desc = prev_panel.get("visual_description", "")
                    context_desc = f"Continuing from previous panel: {prev_desc[:50]}... "
                
                page["panels"].append({
                    "panel_number": panel_num,
                    "title": f"Panel {panel_num}",
                    "visual_description": f"{context_desc}A scene related to the story, moving the narrative forward.",
                    "text": "",
                    "purpose": "Continuation of the story progression",
                    "symbolism": ""
                })
            
            for j, panel in enumerate(page["panels"]):
                panel_num = j + 1 + (i * panels_per_page)
                
                if "panel_number" not in panel:
                    panel["panel_number"] = panel_num
                
                if "title" not in panel or not panel["title"]:
                    panel["title"] = f"Panel {panel_num}"
                
                if "visual_description" not in panel or not panel["visual_description"]:
                    context_desc = ""
                    if j > 0:
                        prev_panel = page["panels"][j-1]
                        prev_desc = prev_panel.get("visual_description", "")
                        context_desc = f"Following from previous panel: {prev_desc[:50]}... "
                    
                    panel["visual_description"] = f"{context_desc}A scene that advances the story narrative."
                
                if "text" not in panel:
                    panel["text"] = ""
                
                if "purpose" not in panel:
                    panel["purpose"] = "Advancing the story progression"
                
                if "symbolism" not in panel:
                    panel["symbolism"] = ""
        
        while len(story_data["pages"]) < num_pages:
            page_num = len(story_data["pages"]) + 1
            page_panels = []
            
            context_from_prev_page = ""
            if story_data["pages"]:
                prev_page = story_data["pages"][-1]
                if prev_page.get("panels"):
                    last_panel = prev_page["panels"][-1]
                    last_desc = last_panel.get("visual_description", "")
                    context_from_prev_page = f"Continuing directly from the previous page: {last_desc[:100]}... "
            
            for j in range(panels_per_page):
                panel_num = j + 1 + ((page_num - 1) * panels_per_page)
                
                panel_desc = "A scene that advances the story narrative."
                if j == 0 and context_from_prev_page:
                    panel_desc = context_from_prev_page + panel_desc
                elif j > 0 and page_panels:
                    prev_panel = page_panels[j-1]
                    prev_desc = prev_panel.get("visual_description", "")
                    panel_desc = f"Following from previous panel: {prev_desc[:50]}... " + panel_desc
                
                page_panels.append({
                    "panel_number": panel_num,
                    "title": f"Panel {panel_num}",
                    "visual_description": panel_desc,
                    "text": "",
                    "purpose": "Advancing the story progression",
                    "symbolism": ""
                })
            
            story_data["pages"].append({
                "page_number": page_num,
                "panels": page_panels
            })
            
        return story_data
    @log_execution
    def _create_fallback_story(self, user_description, panels_per_page, num_pages):
        """Create a basic fallback story structure if generation fails."""
        pages = []
        
        for i in range(num_pages):
            page_panels = []
            for j in range(panels_per_page):
                panel_num = j + 1 + (i * panels_per_page)
                page_panels.append({
                    "panel_number": panel_num,
                    "title": f"Panel {panel_num}",
                    "visual_description": f"A scene related to {user_description[:30]}...",
                    "text": f"Text for panel {panel_num}",
                    "purpose": f"Part of the story progression",
                    "symbolism": ""
                })
            
            pages.append({
                "page_number": i + 1,
                "panels": page_panels
            })
        
        return {
            "title": f"A Story About {user_description[:30]}...",
            "premise": f"A comic story about {user_description[:50]}...",
            "pages": pages
        }
    @log_execution

    def _fix_json(self, json_str):
        """Attempt to fix common JSON issues from LLM responses."""
        json_str = re.sub(r'//.*?', '', json_str)
        json_str = re.sub(r'/\*[\s\S]*?\*/', '', json_str, flags=re.DOTALL)

        json_str = re.sub(r'([{, ]\s*)([a-zA-Z_][a-zA-Z0-9_]*)(\s*:)', r'\1"\2"\3', json_str)

        json_str = re.sub(r',(\s*[}\\]])', r'\1', json_str)
        return json_str
    @log_execution

    def generate_panel_image_prompt(self, panel_data, style=None):
        """Generate a prompt for image generation from panel data."""
        style_text = f" in {style} style" if style else ""
        
        prompt = f"Create a comic book panel{style_text} showing: {panel_data['visual_description']}. "
        if 'text' in panel_data and panel_data['text']:
            prompt += f"The panel includes the dialogue: '{panel_data['text']}'. "
        return prompt