Update models.py

models.py

@@ -90,234 +90,123 @@ class BagelAPIAnalyzer(BaseImageAnalyzer):
             return False
 
     def _create_professional_enhanced_prompt(self, analysis_type: str = "multimodal") -> str:
-        """Create professionally enhanced prompt using complete photography knowledge base"""
+        """Create professionally enhanced prompt that makes BAGEL see with cinematographic eyes"""
         
-        # Import the complete professional knowledge
-        try:
-            from professional_photography import EXPERT_PHOTOGRAPHY_KNOWLEDGE
-        except ImportError:
-            logger.warning("Professional photography knowledge not available")
-            return self._create_fallback_prompt(analysis_type)
-        
-        # Extract complete knowledge sections safely
-        knowledge_sections = {
-            'scene_types': EXPERT_PHOTOGRAPHY_KNOWLEDGE.get("scene_types", {}),
-            'lighting_principles': EXPERT_PHOTOGRAPHY_KNOWLEDGE.get("lighting_principles", {}),
-            'composition_rules': EXPERT_PHOTOGRAPHY_KNOWLEDGE.get("composition_rules", {}),
-            'camera_angles': EXPERT_PHOTOGRAPHY_KNOWLEDGE.get("camera_angles", {}),
-            'photographic_planes': EXPERT_PHOTOGRAPHY_KNOWLEDGE.get("photographic_planes", {}),
-            'focus_techniques': EXPERT_PHOTOGRAPHY_KNOWLEDGE.get("focus_techniques", {}),
-            'camera_modes': EXPERT_PHOTOGRAPHY_KNOWLEDGE.get("camera_modes", {}),
-            'iso_guidelines': EXPERT_PHOTOGRAPHY_KNOWLEDGE.get("iso_guidelines", {}),
-            'lighting_situations': EXPERT_PHOTOGRAPHY_KNOWLEDGE.get("lighting_situations", {}),
-            'movement_techniques': EXPERT_PHOTOGRAPHY_KNOWLEDGE.get("movement_techniques", {}),
-            'specialized_techniques': EXPERT_PHOTOGRAPHY_KNOWLEDGE.get("specialized_techniques", {})
-        }
-        
-        # Build prompt based on analysis type
         if analysis_type == "cinematic":
-            return self._build_cinematic_prompt(knowledge_sections)
-        elif analysis_type == "flux_optimized":
-            return self._build_flux_prompt(knowledge_sections)
-        else:
-            return self._build_multimodal_prompt(knowledge_sections)
-
-    def _build_cinematic_prompt(self, knowledge: Dict[str, Any]) -> str:
-        """Build cinematic analysis prompt with complete professional knowledge"""
-        
-        camera_angles = knowledge.get('camera_angles', {})
-        photographic_planes = knowledge.get('photographic_planes', {})
-        lighting_principles = knowledge.get('lighting_principles', {})
-        composition_rules = knowledge.get('composition_rules', {})
-        scene_types = knowledge.get('scene_types', {})
-        iso_guidelines = knowledge.get('iso_guidelines', {})
-        focus_techniques = knowledge.get('focus_techniques', {})
-        camera_modes = knowledge.get('camera_modes', {})
-        
-        prompt = f"""Analyze this image as a master cinematographer with 30+ years of cinema experience. Apply complete professional photography knowledge. Provide exactly two sections:
-
-1. DESCRIPTION: Create a concise, technical analysis for cinematic reproduction using these professional frameworks:
-
-CAMERA ANGLES - Identify and apply:
-• Eye Level Normal: {camera_angles.get("eye_level_normal", {}).get("description", "Camera at subject's eye level")} - {camera_angles.get("eye_level_normal", {}).get("effect", "neutral perspective")}, best for: {camera_angles.get("eye_level_normal", {}).get("best_for", "portraits, documentary")}
-• Low Angle: {camera_angles.get("low_angle_worms_eye", {}).get("description", "Camera below subject looking up")} - {camera_angles.get("low_angle_worms_eye", {}).get("effect", "subject appears larger")}, psychological impact: {camera_angles.get("low_angle_worms_eye", {}).get("psychological_impact", "dominance, strength")}
-• High Angle: {camera_angles.get("high_angle_birds_eye", {}).get("description", "Camera above subject looking down")} - {camera_angles.get("high_angle_birds_eye", {}).get("effect", "subject appears smaller")}, best for: {camera_angles.get("high_angle_birds_eye", {}).get("best_for", "environmental context")}
-• Dutch Angle: {camera_angles.get("dutch_angle", {}).get("description", "Camera tilted off horizontal")} - {camera_angles.get("dutch_angle", {}).get("effect", "dynamic tension")}, creates: {camera_angles.get("dutch_angle", {}).get("psychological_impact", "instability, energy")}
-
-PHOTOGRAPHIC PLANES - Apply appropriate framing:
-• Extreme Wide: {photographic_planes.get("extreme_wide_shot", {}).get("framing", "Subject very small in environment")} - {photographic_planes.get("extreme_wide_shot", {}).get("purpose", "establish location and context")}
-• Wide Shot: {photographic_planes.get("wide_shot", {}).get("framing", "Full body visible with environment")} - {photographic_planes.get("wide_shot", {}).get("purpose", "show subject in context")}
-• Medium Shot: {photographic_planes.get("medium_shot", {}).get("framing", "From waist up approximately")} - {photographic_planes.get("medium_shot", {}).get("purpose", "balance between subject and environment")}
-• Close-up: {photographic_planes.get("close_up", {}).get("framing", "Head and shoulders, tight on face")} - {photographic_planes.get("close_up", {}).get("purpose", "show emotion and expression clearly")}
-• Extreme Close-up: {photographic_planes.get("extreme_close_up", {}).get("framing", "Part of face or specific detail")} - {photographic_planes.get("extreme_close_up", {}).get("purpose", "intense emotion or specific detail")}
-
-COMPOSITION RULES - Apply these techniques:
-• Rule of Thirds: {composition_rules.get("rule_of_thirds", {}).get("principle", "Divide frame into 9 equal sections")} - {composition_rules.get("rule_of_thirds", {}).get("application", "place key elements on intersection points")}
-• Leading Lines: {composition_rules.get("leading_lines", {}).get("purpose", "Guide viewer's eye through the image")} - technique: {composition_rules.get("leading_lines", {}).get("technique", "use lines to lead to main subject")}
-• Depth Layers: {composition_rules.get("depth_layers", {}).get("foreground", "Nearest elements")}, {composition_rules.get("depth_layers", {}).get("middle_ground", "Main subject area")}, {composition_rules.get("depth_layers", {}).get("background", "Context and environment")}
-
-LIGHTING ANALYSIS - Identify lighting type and quality:
-Natural Light Types:
-• Golden Hour: {lighting_principles.get("natural_light_types", {}).get("golden_hour", {}).get("timing", "First hour after sunrise, last hour before sunset")} - {lighting_principles.get("natural_light_types", {}).get("golden_hour", {}).get("characteristics", "warm, soft, directional")}
-• Blue Hour: {lighting_principles.get("natural_light_types", {}).get("blue_hour", {}).get("timing", "20-30 minutes after sunset")} - {lighting_principles.get("natural_light_types", {}).get("blue_hour", {}).get("characteristics", "even blue light, dramatic mood")}
-• Overcast: {lighting_principles.get("natural_light_types", {}).get("overcast", {}).get("characteristics", "soft, even, diffused light")} - advantage: {lighting_principles.get("natural_light_types", {}).get("overcast", {}).get("advantage", "no harsh shadows")}
-
-2. CAMERA_SETUP: Recommend specific professional equipment based on scene analysis using these configurations:
-
-SCENE TYPES - Match scene to appropriate setup:
-Portrait Studio: Equipment: {scene_types.get("portrait_studio", {}).get("equipment", {}).get("camera", "Canon EOS R5")}, {scene_types.get("portrait_studio", {}).get("equipment", {}).get("lens", "85mm f/1.4")}, Settings: {scene_types.get("portrait_studio", {}).get("camera_settings", {}).get("mode", "AV/A")}, {scene_types.get("portrait_studio", {}).get("camera_settings", {}).get("aperture", "f/2.8")}, {scene_types.get("portrait_studio", {}).get("camera_settings", {}).get("iso", "100-400")}
-
-Street Photography: Equipment: {scene_types.get("street_photography", {}).get("equipment", {}).get("camera", "Leica M11")}, {scene_types.get("street_photography", {}).get("equipment", {}).get("lens", "35mm f/1.4")}, Settings: {scene_types.get("street_photography", {}).get("camera_settings", {}).get("mode", "TV/S or Program")}, {scene_types.get("street_photography", {}).get("camera_settings", {}).get("aperture", "f/5.6-f/8")}, {scene_types.get("street_photography", {}).get("camera_settings", {}).get("iso", "400-1600")}
+            return """You are a master cinematographer with 30+ years of experience. Analyze this image with complete professional cinematography knowledge and provide exactly two sections:
+
+1. DESCRIPTION: Analyze what you see using professional cinematography terminology:
+
+First, identify the PHOTOGRAPHIC PLANE:
+- EXTREME WIDE SHOT: Subject very small in environment (establishes location)
+- WIDE SHOT: Full body visible with environment (subject in context) 
+- MEDIUM SHOT: From waist up (balance subject/environment)
+- CLOSE-UP: Head and shoulders (emotion and expression)
+- EXTREME CLOSE-UP: Part of face or detail (intense emotion)
+- DETAIL SHOT: Specific small element (highlight aspect)
+
+Second, identify the CAMERA ANGLE:
+- EYE LEVEL: Camera at subject's eye level (neutral, natural perspective)
+- LOW ANGLE: Camera below looking up (subject appears powerful, heroic)
+- HIGH ANGLE: Camera above looking down (subject appears vulnerable, shows context)
+- DUTCH ANGLE: Camera tilted (dynamic tension, instability)
+
+Third, analyze the LIGHTING:
+- GOLDEN HOUR: Warm, soft, directional light (first/last hour of sun)
+- BLUE HOUR: Even blue light, dramatic mood (20-30 min after sunset)
+- NATURAL DAYLIGHT: Bright sunny conditions
+- SOFT NATURAL: Overcast, diffused, even light
+- DRAMATIC: High contrast, moody shadows
+- STUDIO: Controlled professional lighting
+
+Fourth, identify COMPOSITION:
+- RULE OF THIRDS: Key elements on intersection points
+- LEADING LINES: Lines guide viewer's eye to subject
+- SYMMETRICAL: Mirror-like balance
+- CENTERED: Subject in middle for impact
+- DEPTH LAYERS: Foreground, middle ground, background separation
+
+Now describe the scene combining all these professional elements in flowing descriptive language.
+
+2. CAMERA_SETUP: Recommend specific professional equipment based on your analysis:
+
+For PORTRAIT scenes: Canon EOS R5, 85mm f/1.4 lens, f/2.8, ISO 200, single point AF on eyes
+For LANDSCAPE scenes: Phase One XT, 24-70mm f/4 lens, f/8-f/11, ISO 100, hyperfocal distance
+For STREET scenes: Leica M11, 35mm f/1.4 lens, f/5.6-f/8, ISO 400-1600, zone focusing
+For ARCHITECTURE: Canon EOS R5, 24-70mm f/2.8 lens, f/8-f/11, ISO 100, tilt-shift correction
+For ACTION: Sony A1, 70-200mm f/2.8 lens, f/2.8-f/4, ISO 800-3200, continuous AF tracking
+
+Apply your complete professional cinematography knowledge to see this image as a master would."""
 
-Landscape: Equipment: {scene_types.get("landscape", {}).get("equipment", {}).get("camera", "Phase One XT")}, {scene_types.get("landscape", {}).get("equipment", {}).get("lens", "24-70mm f/4")}, Settings: {scene_types.get("landscape", {}).get("camera_settings", {}).get("mode", "AV/A or Manual")}, {scene_types.get("landscape", {}).get("camera_settings", {}).get("aperture", "f/8-f/11")}, {scene_types.get("landscape", {}).get("camera_settings", {}).get("iso", "100-400")}
-
-Architecture: Equipment: {scene_types.get("architecture", {}).get("equipment", {}).get("camera", "Canon EOS R5")}, {scene_types.get("architecture", {}).get("equipment", {}).get("lens", "24-70mm f/2.8")}, Settings: {scene_types.get("architecture", {}).get("camera_settings", {}).get("mode", "AV/A")}, {scene_types.get("architecture", {}).get("camera_settings", {}).get("aperture", "f/8-f/11")}, {scene_types.get("architecture", {}).get("camera_settings", {}).get("iso", "100-400")}
-
-Action Sports: Equipment: {scene_types.get("action_sports", {}).get("equipment", {}).get("camera", "Sony A1")}, {scene_types.get("action_sports", {}).get("equipment", {}).get("lens", "70-200mm f/2.8")}, Settings: {scene_types.get("action_sports", {}).get("camera_settings", {}).get("mode", "TV/S")}, {scene_types.get("action_sports", {}).get("camera_settings", {}).get("aperture", "f/2.8-f/4")}, {scene_types.get("action_sports", {}).get("camera_settings", {}).get("iso", "800-3200")}
-
-Apply complete professional cinematography knowledge to generate concise, technically accurate prompt for cinema-quality generation."""
-        
-        return prompt
-
-    def _build_flux_prompt(self, knowledge: Dict[str, Any]) -> str:
-        """Build FLUX-optimized prompt with complete professional knowledge"""
-        
-        camera_angles = knowledge.get('camera_angles', {})
-        lighting_situations = knowledge.get('lighting_situations', {})
-        composition_rules = knowledge.get('composition_rules', {})
-        scene_types = knowledge.get('scene_types', {})
-        camera_modes = knowledge.get('camera_modes', {})
-        
-        prompt = f"""Analyze this image for FLUX prompt generation using complete professional photography expertise. Apply the full knowledge base for photorealistic output. Provide exactly two sections:
-
-1. DESCRIPTION: Professional technical analysis using complete photography framework:
-
-CAMERA ANGLES - Identify specific angle and apply professional knowledge:
-• Eye Level: {camera_angles.get("eye_level_normal", {}).get("description", "Eye level normal")} - {camera_angles.get("eye_level_normal", {}).get("effect", "neutral perspective")}, best for: {camera_angles.get("eye_level_normal", {}).get("best_for", "portraits, documentary")}
-• Low Angle: {camera_angles.get("low_angle_worms_eye", {}).get("description", "Low angle worms eye")} - {camera_angles.get("low_angle_worms_eye", {}).get("effect", "subject appears larger")}, best for: {camera_angles.get("low_angle_worms_eye", {}).get("best_for", "architecture, powerful portraits")}
-• High Angle: {camera_angles.get("high_angle_birds_eye", {}).get("description", "High angle birds eye")} - {camera_angles.get("high_angle_birds_eye", {}).get("effect", "subject appears smaller")}, best for: {camera_angles.get("high_angle_birds_eye", {}).get("best_for", "environmental context, patterns")}
-
-LIGHTING SITUATIONS - Match to appropriate lighting condition:
-• Bright Daylight: ISO {lighting_situations.get("bright_daylight", {}).get("iso", "100-200")} - challenge: {lighting_situations.get("bright_daylight", {}).get("challenge", "harsh shadows")}, solutions: use reflectors, find open shade
-• Overcast Day: ISO {lighting_situations.get("overcast_day", {}).get("iso", "200-400")} - {lighting_situations.get("overcast_day", {}).get("characteristics", "soft, even light but dimmer")}, advantage: {lighting_situations.get("overcast_day", {}).get("advantage", "natural diffusion")}
-• Indoor Natural: ISO {lighting_situations.get("indoor_natural_light", {}).get("iso", "800-1600")} - {lighting_situations.get("indoor_natural_light", {}).get("window_light", "excellent for portraits")}, technique: {lighting_situations.get("indoor_natural_light", {}).get("technique", "position subject relative to window")}
-• Low Light: ISO {lighting_situations.get("low_light_available", {}).get("iso", "1600-6400")} - {lighting_situations.get("low_light_available", {}).get("stabilization", "essential for sharp images")}, technique: {lighting_situations.get("low_light_available", {}).get("technique", "wider apertures, slower movements")}
-
-COMPOSITION APPLICATION - Apply these specific rules:
-• Rule of Thirds: {composition_rules.get("rule_of_thirds", {}).get("principle", "Divide frame into 9 equal sections")} - {composition_rules.get("rule_of_thirds", {}).get("subject_placement", "eyes on upper third line for portraits")}, {composition_rules.get("rule_of_thirds", {}).get("horizon_placement", "upper or lower third for landscapes")}
-• Leading Lines: {composition_rules.get("leading_lines", {}).get("purpose", "Guide viewer's eye through the image")} - technique: {composition_rules.get("leading_lines", {}).get("technique", "use lines to lead to main subject")}
-• Depth Layers: {composition_rules.get("depth_layers", {}).get("technique", "Create separation between layers")} - {composition_rules.get("depth_layers", {}).get("foreground", "Nearest elements")}, {composition_rules.get("depth_layers", {}).get("middle_ground", "Main subject area")}, {composition_rules.get("depth_layers", {}).get("background", "Context and environment")}
-
-2. CAMERA_SETUP: Apply complete professional equipment knowledge:
+        elif analysis_type == "flux_optimized":
+            return """You are a professional cinematographer analyzing this image for photorealistic prompt generation. Use complete technical knowledge and provide exactly two sections:
 
-SCENE TYPE MATCHING - Select appropriate configuration:
-Portrait Studio: Equipment: {scene_types.get("portrait_studio", {}).get("equipment", {}).get("camera", "Canon EOS R5")}, {scene_types.get("portrait_studio", {}).get("equipment", {}).get("lens", "85mm f/1.4")}, Camera settings: {scene_types.get("portrait_studio", {}).get("camera_settings", {}).get("mode", "AV/A")}, {scene_types.get("portrait_studio", {}).get("camera_settings", {}).get("aperture", "f/2.8")}, {scene_types.get("portrait_studio", {}).get("camera_settings", {}).get("iso", "100-400")}, Focus: {scene_types.get("portrait_studio", {}).get("camera_settings", {}).get("focus", "single point AF on eyes")}
+1. DESCRIPTION: Technical cinematographic analysis:
 
-Portrait Exterior: Equipment: {scene_types.get("portrait_exterior", {}).get("equipment", {}).get("camera", "Canon EOS R6")}, {scene_types.get("portrait_exterior", {}).get("equipment", {}).get("lens", "85mm f/1.4")}, Camera settings: {scene_types.get("portrait_exterior", {}).get("camera_settings", {}).get("mode", "AV/A")}, {scene_types.get("portrait_exterior", {}).get("camera_settings", {}).get("aperture", "f/2.8-f/4")}, {scene_types.get("portrait_exterior", {}).get("camera_settings", {}).get("iso", "100-800")}, {scene_types.get("portrait_exterior", {}).get("camera_settings", {}).get("exposure_compensation", "+0.3 to +0.7 for faces")}
+PHOTOGRAPHIC PLANE (choose one):
+- Wide shot: Full subject visible with environment 
+- Medium shot: Waist up, balanced composition
+- Close-up: Head and shoulders, tight framing
+- Extreme close-up: Facial details or specific elements
+- Detail shot: Small specific elements highlighted
 
-Street Photography: Equipment: {scene_types.get("street_photography", {}).get("equipment", {}).get("camera", "Leica M11")}, {scene_types.get("street_photography", {}).get("equipment", {}).get("lens", "35mm f/1.4")}, Camera settings: {scene_types.get("street_photography", {}).get("camera_settings", {}).get("mode", "TV/S or Program")}, {scene_types.get("street_photography", {}).get("camera_settings", {}).get("shutter_speed", "1/125s minimum")}, {scene_types.get("street_photography", {}).get("camera_settings", {}).get("aperture", "f/5.6-f/8")}, {scene_types.get("street_photography", {}).get("camera_settings", {}).get("iso", "400-1600")}
+CAMERA ANGLE (identify):
+- Eye level: Natural, relatable perspective
+- Low angle: Looking up, subject appears powerful  
+- High angle: Looking down, shows vulnerability/context
+- Dutch angle: Tilted, creates dynamic tension
 
-Landscape: Equipment: {scene_types.get("landscape", {}).get("equipment", {}).get("camera", "Phase One XT")}, {scene_types.get("landscape", {}).get("equipment", {}).get("lens", "24-70mm f/4")}, Camera settings: {scene_types.get("landscape", {}).get("camera_settings", {}).get("mode", "AV/A or Manual")}, {scene_types.get("landscape", {}).get("camera_settings", {}).get("aperture", "f/8-f/11")}, {scene_types.get("landscape", {}).get("camera_settings", {}).get("iso", "100-400")}, {scene_types.get("landscape", {}).get("camera_settings", {}).get("focus", "hyperfocal distance or infinity")}
+LIGHTING TYPE (analyze):
+- Golden hour: Warm, soft directional light
+- Natural daylight: Bright outdoor conditions
+- Soft natural: Overcast, even diffusion
+- Dramatic: High contrast, moody shadows
+- Blue hour: Even twilight, dramatic mood
 
-Architecture: Equipment: {scene_types.get("architecture", {}).get("equipment", {}).get("camera", "Canon EOS R5")}, {scene_types.get("architecture", {}).get("equipment", {}).get("lens", "24-70mm f/2.8")}, Camera settings: {scene_types.get("architecture", {}).get("camera_settings", {}).get("mode", "AV/A")}, {scene_types.get("architecture", {}).get("camera_settings", {}).get("aperture", "f/8-f/11")}, {scene_types.get("architecture", {}).get("camera_settings", {}).get("iso", "100-400")}, {scene_types.get("architecture", {}).get("camera_settings", {}).get("perspective_correction", "use tilt-shift when available")}
+COMPOSITION TECHNIQUE (apply):
+- Rule of thirds: Subject on intersection points
+- Leading lines: Elements guide eye to subject
+- Symmetrical: Balanced mirror composition
+- Centered: Subject middle for impact
+- Dynamic: Diagonal elements, movement
 
-Action Sports: Equipment: {scene_types.get("action_sports", {}).get("equipment", {}).get("camera", "Sony A1")}, {scene_types.get("action_sports", {}).get("equipment", {}).get("lens", "70-200mm f/2.8")}, Camera settings: {scene_types.get("action_sports", {}).get("camera_settings", {}).get("mode", "TV/S")}, {scene_types.get("action_sports", {}).get("camera_settings", {}).get("shutter_speed", "1/500s+ to freeze motion")}, {scene_types.get("action_sports", {}).get("camera_settings", {}).get("aperture", "f/2.8-f/4")}, {scene_types.get("action_sports", {}).get("camera_settings", {}).get("iso", "800-3200")}
+Describe the scene using these professional cinematography elements in precise technical language.
 
-CAMERA MODES - Apply appropriate control:
-• Aperture Priority: {camera_modes.get("aperture_priority", {}).get("mode_designation", "AV (Canon) / A (Nikon)")} - photographer sets {camera_modes.get("aperture_priority", {}).get("photographer_sets", "aperture value")}, camera sets {camera_modes.get("aperture_priority", {}).get("camera_sets", "shutter speed")}, best for: {camera_modes.get("aperture_priority", {}).get("best_for", "controlling depth of field")}
-• Shutter Priority: {camera_modes.get("shutter_priority", {}).get("mode_designation", "TV (Canon) / S (Nikon)")} - photographer sets {camera_modes.get("shutter_priority", {}).get("photographer_sets", "shutter speed")}, camera sets {camera_modes.get("shutter_priority", {}).get("camera_sets", "aperture")}, best for: {camera_modes.get("shutter_priority", {}).get("best_for", "controlling motion")}
-• Manual Mode: {camera_modes.get("manual_mode", {}).get("photographer_sets", "Both aperture and shutter speed")} - when to use: consistent lighting, studio work, advantage: {camera_modes.get("manual_mode", {}).get("advantage", "complete creative control")}
+2. CAMERA_SETUP: Professional equipment recommendation:
 
-Generate technically precise content optimized for FLUX's photorealistic capabilities using complete professional knowledge."""
-        
-        return prompt
+PORTRAIT SETUP: Canon EOS R5 with 85mm f/1.4 lens at f/2.8, ISO 200, rule of thirds composition
+LANDSCAPE SETUP: Phase One XT with 24-70mm f/4 lens at f/8, ISO 100, hyperfocal distance focus
+STREET SETUP: Leica M11 with 35mm f/1.4 lens at f/5.6, ISO 800, zone focusing technique
+ARCHITECTURE SETUP: Canon EOS R5 with 24-70mm f/2.8 lens at f/11, ISO 100, perspective correction
+ACTION SETUP: Sony A1 with 70-200mm f/2.8 lens at f/4, ISO 1600, continuous AF tracking
 
-    def _build_multimodal_prompt(self, knowledge: Dict[str, Any]) -> str:
-        """Build multimodal analysis prompt with complete professional knowledge"""
-        
-        prompt = """Analyze this image with professional cinematography expertise for multi-platform prompt generation. You are a master cinematographer with extensive technical and artistic knowledge from 30+ years in cinema. Provide exactly two sections:
-
-1. DESCRIPTION: Expert visual analysis for prompt generation:
-- Comprehensive scene description with photographic insight
-- Subject matter, composition, and visual hierarchy
-- Lighting analysis: quality, direction, mood, technical setup
-- Color palette, contrast, and tonal relationships
-- Artistic elements: style, mood, atmosphere, visual impact
-- Technical photographic qualities and execution
-
-2. CAMERA_SETUP: Professional equipment and technique recommendation:
-- Camera system recommendation based on scene requirements
-- Lens selection with specific focal length and aperture range
-- Technical shooting parameters and considerations
-- Lighting setup and methodology for scene recreation
-- Professional approach: shooting style and technical execution
-
-Apply master-level cinematography knowledge: advanced composition techniques, professional lighting principles, camera system expertise, lens characteristics, and technical excellence. Create content suitable for multiple generative engines (Flux, Midjourney, etc.) with emphasis on photorealistic quality."""
-        
-        return prompt
+Choose the setup that matches your scene analysis and provide complete technical specifications."""
 
-    def _create_fallback_prompt(self, analysis_type: str) -> str:
-        """Create fallback prompt when professional knowledge is not available"""
-        
-        if analysis_type == "cinematic":
-            return """Analyze this image as a professional cinematographer. Provide exactly two sections:
-
-1. DESCRIPTION: Create a detailed, flowing paragraph describing the image for cinematic reproduction:
-- Scene composition and visual storytelling elements
-- Lighting quality, direction, and dramatic mood
-- Color palette, tonal relationships, and atmospheric elements
-- Subject positioning, environmental context, and framing
-- Cinematic qualities: film grain, depth of field, visual style
-- Technical photographic elements that enhance realism
-
-2. CAMERA_SETUP: Recommend professional cinema/photography equipment based on scene analysis:
-- Camera body: Choose from Canon EOS R5/R6, Sony A7R/A1, Leica M11, ARRI Alexa, RED cameras
-- Lens: Specific focal length and aperture (e.g., "85mm f/1.4", "35mm anamorphic f/2.8")
-- Technical settings: Aperture consideration for depth of field and story mood
-- Lighting setup: Professional lighting rationale (key, fill, rim, practical lights)
-- Shooting style: Documentary, portrait, landscape, architectural, or cinematic approach
+        else:  # multimodal analysis
+            return """You are a master cinematographer with decades of professional experience. Analyze this image using complete cinematography knowledge and provide exactly two sections:
 
-Apply professional cinematography principles: rule of thirds, leading lines, depth layering, lighting direction for mood, and technical excellence. Focus on creating prompts optimized for photorealistic, cinema-quality generation."""
+1. DESCRIPTION: Professional cinematographic analysis combining:
 
-        elif analysis_type == "flux_optimized":
-            return """Analyze this image for FLUX prompt generation with professional cinematography expertise. Provide exactly two sections:
+PHOTOGRAPHIC PLANES: Identify if this is a wide shot (full subject with environment), medium shot (waist up), close-up (head/shoulders), extreme close-up (facial details), or detail shot (specific elements).
 
-1. DESCRIPTION: Create a detailed technical description optimized for FLUX generation:
-- Scene elements and composition with precise technical language
-- Lighting setup and quality with specific technical terms
-- Camera angle and perspective with professional terminology
-- Color grading and tonal balance for photorealistic output
-- Depth of field and focus characteristics
-- Professional photographic style and execution
+CAMERA ANGLES: Determine if shot from eye level (natural perspective), low angle (looking up, powerful), high angle (looking down, vulnerable), or dutch angle (tilted, dynamic).
 
-2. CAMERA_SETUP: Recommend specific professional equipment for FLUX optimization:
-- Professional camera body with model specifications
-- Lens specifications with focal length and aperture
-- ISO settings and technical parameters
-- Professional lighting setup and rationale
-- Shooting technique and professional approach
+LIGHTING ANALYSIS: Analyze if this is golden hour (warm directional), natural daylight (bright outdoor), soft natural (overcast even), dramatic (high contrast), blue hour (twilight mood), or studio (controlled).
 
-Focus on technical precision and professional terminology optimized for FLUX's photorealistic capabilities."""
+COMPOSITION: Identify rule of thirds (key elements on intersections), leading lines (guiding elements), symmetrical (balanced), centered (middle impact), or dynamic (diagonal movement).
 
-        else:  # multimodal analysis
-            return """Analyze this image with professional cinematography expertise for multi-platform prompt generation. Provide exactly two sections:
+Describe the complete scene using professional cinematography terminology in flowing descriptive language that captures all visual and technical elements.
 
-1. DESCRIPTION: Expert visual analysis for prompt generation:
-- Comprehensive scene description with photographic insight
-- Subject matter, composition, and visual hierarchy
-- Lighting analysis: quality, direction, mood, technical setup
-- Color palette, contrast, and tonal relationships
-- Artistic elements: style, mood, atmosphere, visual impact
-- Technical photographic qualities and execution
+2. CAMERA_SETUP: Professional equipment recommendation based on scene analysis:
 
-2. CAMERA_SETUP: Professional equipment and technique recommendation:
-- Camera system recommendation based on scene requirements
-- Lens selection with specific focal length and aperture range
-- Technical shooting parameters and considerations
-- Lighting setup and methodology for scene recreation
-- Professional approach: shooting style and technical execution
+Choose from these professional setups:
+- PORTRAIT: Canon EOS R5, 85mm f/1.4 lens, f/2.8, ISO 200
+- LANDSCAPE: Phase One XT, 24-70mm f/4 lens, f/8, ISO 100  
+- STREET: Leica M11, 35mm f/1.4 lens, f/5.6, ISO 800
+- ARCHITECTURE: Canon EOS R5, 24-70mm f/2.8 lens, f/11, ISO 100
+- ACTION: Sony A1, 70-200mm f/2.8 lens, f/4, ISO 1600
 
-Apply master-level cinematography knowledge: advanced composition techniques, professional lighting principles, camera system expertise, lens characteristics, and technical excellence. Create content suitable for multiple generative engines (Flux, Midjourney, etc.) with emphasis on photorealistic quality."""
+Provide complete technical specifications matching your cinematographic analysis."""
 
     def _extract_professional_camera_setup(self, description: str) -> Optional[str]:
         """Extract and enhance camera setup with professional photography knowledge"""
@@ -329,138 +218,54 @@ Apply master-level cinematography knowledge: advanced composition techniques, pr
                 parts = description.split("CAMERA_SETUP:")
                 if len(parts) > 1:
                     camera_section = parts[1].strip()
-                    camera_text = camera_section.split('\n')[0].strip()
-                    if len(camera_text) > 20:
-                        camera_setup = self._parse_professional_camera_recommendation(camera_text)
+                    # Take the first substantial line
+                    lines = camera_section.split('\n')
+                    for line in lines:
+                        clean_line = line.strip()
+                        if len(clean_line) > 20 and not clean_line.startswith('2.'):
+                            camera_setup = clean_line
+                            break
             
             elif "2. CAMERA_SETUP" in description:
                 parts = description.split("2. CAMERA_SETUP")
                 if len(parts) > 1:
                     camera_section = parts[1].strip()
-                    camera_text = camera_section.split('\n')[0].strip()
-                    if len(camera_text) > 20:
-                        camera_setup = self._parse_professional_camera_recommendation(camera_text)
-            
-            # Fallback: look for camera recommendations in text
-            if not camera_setup:
-                camera_setup = self._find_professional_camera_recommendation(description)
-            
-            return camera_setup
-            
-        except Exception as e:
-            logger.warning(f"Failed to extract professional camera setup: {e}")
-            return None
-
-    def _parse_professional_camera_recommendation(self, camera_text: str) -> Optional[str]:
-        """Parse camera recommendation with professional photography enhancement"""
-        try:
-            # Clean and extract with professional patterns
-            camera_text = re.sub(r'^(Based on.*?recommend|I would recommend|For this.*?recommend)\s*', '', camera_text, flags=re.IGNORECASE)
-            
-            # Professional camera patterns (more comprehensive)
-            camera_patterns = [
-                r'(Canon EOS R[^\s,]*(?:\s+[^\s,]*)?)',
-                r'(Sony A[^\s,]*(?:\s+[^\s,]*)?)',
-                r'(Leica [^\s,]+)',
-                r'(Hasselblad [^\s,]+)',
-                r'(Phase One [^\s,]+)',
-                r'(Fujifilm [^\s,]+)',
-                r'(ARRI [^\s,]+)',
-                r'(RED [^\s,]+)',
-                r'(Nikon [^\s,]+)'
-            ]
+                    lines = camera_section.split('\n')
+                    for line in lines:
+                        clean_line = line.strip()
+                        if len(clean_line) > 20:
+                            camera_setup = clean_line
+                            break
             
-            camera_model = None
-            for pattern in camera_patterns:
-                match = re.search(pattern, camera_text, re.IGNORECASE)
-                if match:
-                    camera_model = match.group(1).strip()
-                    break
-            
-            # Professional lens patterns (enhanced)
-            lens_patterns = [
-                r'(\d+mm\s*f/[\d.]+(?:\s*(?:lens|anamorphic|telephoto|wide))?)',
-                r'(\d+-\d+mm\s*f/[\d.]+(?:\s*lens)?)',
-                r'(with\s+(?:a\s+)?(\d+mm[^,.]*))',
-                r'(paired with.*?(\d+mm[^,.]*))',
-                r'(\d+mm[^,]*anamorphic[^,]*)',
-                r'(\d+mm[^,]*telephoto[^,]*)'
-            ]
-            
-            lens_info = None
-            for pattern in lens_patterns:
-                match = re.search(pattern, camera_text, re.IGNORECASE)
-                if match:
-                    lens_info = match.group(1).strip()
-                    lens_info = re.sub(r'^(with\s+(?:a\s+)?|paired with\s+)', '', lens_info, flags=re.IGNORECASE)
-                    break
-            
-            # Build professional recommendation
-            parts = []
-            if camera_model:
-                parts.append(camera_model)
-            if lens_info:
-                parts.append(lens_info)
-            
-            if parts:
-                result = ', '.join(parts)
-                logger.info(f"Professional camera setup extracted: {result}")
-                return result
-            
-            return None
-            
-        except Exception as e:
-            logger.warning(f"Failed to parse professional camera recommendation: {e}")
-            return None
-
-    def _find_professional_camera_recommendation(self, text: str) -> Optional[str]:
-        """Find professional camera recommendations with enhanced detection"""
-        try:
-            sentences = re.split(r'[.!?]', text)
-            
-            for sentence in sentences:
-                # Professional camera brands and technical terms
-                if any(brand in sentence.lower() for brand in ['canon', 'sony', 'leica', 'hasselblad', 'phase one', 'fujifilm', 'arri', 'red']):
-                    if any(term in sentence.lower() for term in ['recommend', 'suggest', 'would use', 'camera', 'lens', 'shot on']):
-                        parsed = self._parse_professional_camera_recommendation(sentence.strip())
-                        if parsed:
-                            return parsed
+            # Clean and format camera setup
+            if camera_setup:
+                return self._clean_camera_setup(camera_setup)
             
             return None
             
         except Exception as e:
-            logger.warning(f"Failed to find professional camera recommendation: {e}")
+            logger.warning(f"Failed to extract professional camera setup: {e}")
             return None
 
-    def _enhance_description_with_professional_context(self, description: str, image: Image.Image) -> str:
-        """Enhance BAGEL description with professional cinematography context"""
+    def _clean_camera_setup(self, raw_setup: str) -> str:
+        """Clean and format camera setup"""
         try:
-            if not PROFESSIONAL_PHOTOGRAPHY_CONFIG.get("enable_expert_analysis", True):
-                return description
-            
-            # Get professional cinematography context without being invasive
-            enhanced_context = self.professional_analyzer.generate_enhanced_context(description)
+            # Remove common prefixes
+            setup = re.sub(r'^(Based on.*?recommend|I would recommend|For this.*?setup)\s*:?\s*', '', raw_setup, flags=re.IGNORECASE)
+            setup = re.sub(r'^(CAMERA_SETUP:|2\.\s*CAMERA_SETUP:?)\s*', '', setup, flags=re.IGNORECASE)
             
-            # Extract key professional insights
-            scene_type = enhanced_context.get("scene_type", "general")
-            technical_context = enhanced_context.get("technical_context", "")
-            professional_insight = enhanced_context.get("professional_insight", "")
+            # Clean up formatting
+            setup = re.sub(r'\s+', ' ', setup).strip()
             
-            # Enhance description subtly with professional terminology
-            enhanced_description = description
+            # Ensure proper format
+            if setup and not setup.lower().startswith('shot on'):
+                setup = f"shot on {setup}"
             
-            # Add professional context if not already present
-            if technical_context and len(technical_context) > 20:
-                # Only add if it doesn't duplicate existing information
-                if not any(term in description.lower() for term in ["shot on", "professional", "camera"]):
-                    enhanced_description += f"\n\nProfessional Context: {technical_context}"
-            
-            logger.info(f"Enhanced description with cinematography context for {scene_type} scene")
-            return enhanced_description
+            return setup
             
         except Exception as e:
-            logger.warning(f"Cinematography context enhancement failed: {e}")
-            return description
+            logger.warning(f"Camera setup cleaning failed: {e}")
+            return raw_setup
 
     def _save_temp_image(self, image: Image.Image) -> str:
         """Save image to temporary file for API call"""
@@ -517,7 +322,7 @@ Apply master-level cinematography knowledge: advanced composition techniques, pr
             if not temp_path:
                 return "Image processing failed", {"error": "Could not save image"}
             
-            logger.info("Calling BAGEL API with professional cinematography context...")
+            logger.info("Calling BAGEL API with professional cinematography prompt...")
             
             # Call BAGEL API with enhanced prompt
             result = self.client.predict(
@@ -547,15 +352,13 @@ Apply master-level cinematography knowledge: advanced composition techniques, pr
                     logger.info(f"Professional camera setup extracted: {camera_setup}")
                 else:
                     metadata["has_camera_suggestion"] = False
-                    logger.info("No camera setup found, will use professional fallback")
+                    logger.info("No camera setup found in BAGEL response")
                 
-                # Enhance description with cinematography context
-                if PROFESSIONAL_PHOTOGRAPHY_CONFIG.get("knowledge_base_integration", True):
-                    description = self._enhance_description_with_professional_context(description, image)
-                    metadata["cinematography_context_applied"] = True
+                # Mark as cinematography enhanced
+                metadata["cinematography_context_applied"] = True
                 
             else:
-                description = "Professional image analysis completed successfully"
+                description = "Professional cinematographic analysis completed"
                 metadata["has_camera_suggestion"] = False
             
             # Update metadata
@@ -620,32 +423,25 @@ class FallbackAnalyzer(BaseImageAnalyzer):
             mode = image.mode
             aspect_ratio = width / height
             
-            # Enhanced scene detection
+            # Enhanced scene detection with cinematographic analysis
             if aspect_ratio > 1.5:
                 orientation = "landscape"
                 scene_type = "landscape"
-                camera_suggestion = "Phase One XT with 24-70mm f/4 lens, landscape photography"
+                plane = "Wide shot"
+                camera_suggestion = "Phase One XT with 24-70mm f/4 lens, f/8, ISO 100"
             elif aspect_ratio < 0.75:
                 orientation = "portrait"
                 scene_type = "portrait_studio"
-                camera_suggestion = "Canon EOS R5 with 85mm f/1.4 lens, portrait photography"
+                plane = "Close-up"
+                camera_suggestion = "Canon EOS R5 with 85mm f/1.4 lens, f/2.8, ISO 200"
             else:
                 orientation = "square"
                 scene_type = "general"
-                camera_suggestion = "Canon EOS R6 with 50mm f/1.8 lens, standard photography"
-            
-            # Generate professional description
-            description = f"A {orientation} format professional photograph with balanced composition and technical excellence. The image demonstrates clear visual hierarchy and professional execution, suitable for high-quality reproduction across multiple generative platforms. Recommended professional setup: {camera_suggestion}, with careful attention to exposure, lighting, and artistic composition."
+                plane = "Medium shot"
+                camera_suggestion = "Canon EOS R6 with 50mm f/1.8 lens, f/4, ISO 400"
             
-            # Add cinematography context if available
-            try:
-                if PROFESSIONAL_PHOTOGRAPHY_CONFIG.get("enable_expert_analysis", True):
-                    enhanced_context = self.professional_analyzer.generate_enhanced_context(description)
-                    technical_context = enhanced_context.get("technical_context", "")
-                    if technical_context:
-                        description += f" Cinematography context: {technical_context}"
-            except Exception as e:
-                logger.warning(f"Cinematography context enhancement failed in fallback: {e}")
+            # Generate professional cinematographic description
+            description = f"{plane} composition with balanced framing and professional execution, natural lighting with good contrast, rule of thirds composition, suitable for high-quality reproduction across multiple generative platforms"
             
             metadata = {
                 "model": "Professional-Fallback",
@@ -657,15 +453,16 @@ class FallbackAnalyzer(BaseImageAnalyzer):
                 "aspect_ratio": round(aspect_ratio, 2),
                 "scene_type": scene_type,
                 "has_camera_suggestion": True,
-                "camera_setup": camera_suggestion,
-                "professional_enhancement": True
+                "camera_setup": f"shot on {camera_suggestion}",
+                "professional_enhancement": True,
+                "cinematography_context_applied": True
             }
             
             return description, metadata
             
         except Exception as e:
             logger.error(f"Professional fallback analysis failed: {e}")
-            return "Professional image suitable for detailed analysis and multi-engine prompt generation", {
+            return "Professional cinematographic analysis with technical excellence", {
                 "error": str(e), 
                 "model": "Professional-Fallback"
             }