class GameAssetPipeline:
    def __init__(self, api_key):
        self.api_key = api_key
        self.asset_database = {}
    
    def create_game_character(self, character_description, game_style="realistic"):
        """Create a complete game character with LOD variations"""
        
        # Generate base character model
        base_model = self.generate_character_base(character_description, game_style)
        
        # Create multiple Level of Detail (LOD) versions
        lod_models = self.create_lod_variations(base_model["model_url"])
        
        # Generate character textures
        textures = self.create_character_textures(base_model["model_url"], character_description)
        
        # Add animation rig
        rigged_model = self.add_character_rig(base_model["model_url"])
        
        # Generate animation set
        animations = self.create_character_animations(rigged_model["rigged_model_url"])
        
        character_asset = {
            "character_id": f"char_{hash(character_description) % 10000}",
            "description": character_description,
            "models": {
                "base": base_model,
                "lod_variants": lod_models,
                "rigged": rigged_model
            },
            "textures": textures,
            "animations": animations,
            "game_ready": True
        }
        
        self.asset_database[character_asset["character_id"]] = character_asset
        return character_asset
    
    def generate_character_base(self, description, style):
        """Generate base character model"""
        
        style_prompts = {
            "realistic": "photorealistic human character with natural proportions",
            "stylized": "stylized character with appealing proportions and clean geometry",
            "cartoon": "cartoon character with exaggerated features and simple forms",
            "fantasy": "fantasy character with unique features and detailed design"
        }
        
        full_prompt = f"{description}, {style_prompts.get(style, style)}, game-ready topology"
        
        response = requests.post(
            "https://api.anyapi.ai/v1/3d/text-to-3d",
            headers={
                "Authorization": f"Bearer {self.api_key}",
                "Content-Type": "application/json"
            },
            json={
                "model": "character-gen",
                "prompt": full_prompt,
                "style": style,
                "topology": "quad-based",
                "symmetrical": True,
                "output_format": "fbx"
            }
        )
        
        return response.json()["data"]
    
    def create_lod_variations(self, base_model_url):
        """Create Level of Detail variations for performance"""
        
        lod_configs = [
            {"name": "LOD0", "quality": 1.0, "polygons": None},  # Original
            {"name": "LOD1", "quality": 0.7, "polygons": 15000},
            {"name": "LOD2", "quality": 0.4, "polygons": 5000},
            {"name": "LOD3", "quality": 0.2, "polygons": 1000}
        ]
        
        lod_models = []
        
        for config in lod_configs:
            if config["name"] == "LOD0":
                lod_models.append({
                    "level": config["name"],
                    "model_url": base_model_url,
                    "polygon_count": "original"
                })
            else:
                optimized = self.optimize_for_lod(
                    base_model_url, 
                    config["polygons"], 
                    config["quality"]
                )
                lod_models.append({
                    "level": config["name"],
                    "model_url": optimized["model_url"],
                    "polygon_count": optimized["polygon_count"]
                })
        
        return lod_models
    
    def optimize_for_lod(self, model_url, target_polygons, quality_factor):
        """Optimize model for specific LOD level"""
        
        response = requests.post(
            "https://api.anyapi.ai/v1/3d/lod-optimization",
            headers={
                "Authorization": f"Bearer {self.api_key}",
                "Content-Type": "application/json"
            },
            json={
                "input_model": model_url,
                "target_polygons": target_polygons,
                "quality_factor": quality_factor,
                "preserve_silhouette": True,
                "maintain_uv_seams": True,
                "smart_decimation": True
            }
        )
        
        return response.json()["data"]
    
    def create_character_textures(self, model_url, description):
        """Generate complete texture set for character"""
        
        texture_types = [
            ("diffuse", f"realistic skin and clothing texture for {description}"),
            ("normal", f"normal map with skin details and fabric texture for {description}"),
            ("specular", f"specular map showing appropriate shine and reflectivity for {description}"),
            ("emission", f"emission map for glowing elements or magical effects on {description}")
        ]
        
        textures = {}
        
        for texture_type, prompt in texture_types:
            response = requests.post(
                "https://api.anyapi.ai/v1/3d/texture-generation",
                headers={
                    "Authorization": f"Bearer {self.api_key}",
                    "Content-Type": "application/json"
                },
                json={
                    "model": "character-texture",
                    "input_model": model_url,
                    "texture_type": texture_type,
                    "prompt": prompt,
                    "resolution": 2048,
                    "seamless": True
                }
            )
            
            textures[texture_type] = response.json()["data"]["texture_url"]
        
        return textures
    
    def add_character_rig(self, model_url):
        """Add animation rig to character"""
        
        response = requests.post(
            "https://api.anyapi.ai/v1/3d/character-rigging",
            headers={
                "Authorization": f"Bearer {self.api_key}",
                "Content-Type": "application/json"
            },
            json={
                "input_model": model_url,
                "rig_type": "humanoid",
                "auto_bone_placement": True,
                "include_facial_rig": True,
                "finger_bones": True,
                "ik_chains": ["arms", "legs"],
                "constraint_setup": True
            }
        )
        
        return response.json()["data"]
    
    def create_character_animations(self, rigged_model_url):
        """Generate basic animation set"""
        
        animation_types = [
            "idle_breathing",
            "walk_cycle", 
            "run_cycle",
            "jump",
            "attack_basic",
            "hit_reaction",
            "death"
        ]
        
        animations = {}
        
        for anim_type in animation_types:
            response = requests.post(
                "https://api.anyapi.ai/v1/3d/animation-generation",
                headers={
                    "Authorization": f"Bearer {self.api_key}",
                    "Content-Type": "application/json"
                },
                json={
                    "rigged_model": rigged_model_url,
                    "animation_type": anim_type,
                    "duration": self.get_animation_duration(anim_type),
                    "loop": self.is_looping_animation(anim_type),
                    "quality": "game_ready"
                }
            )
            
            animations[anim_type] = {
                "animation_url": response.json()["data"]["animation_url"],
                "duration": response.json()["data"]["duration"],
                "looping": response.json()["data"]["looping"]
            }
        
        return animations
    
    def get_animation_duration(self, anim_type):
        """Get appropriate duration for animation type"""
        durations = {
            "idle_breathing": 3.0,
            "walk_cycle": 1.0,
            "run_cycle": 0.8,
            "jump": 1.5,
            "attack_basic": 1.2,
            "hit_reaction": 0.5,
            "death": 2.0
        }
        return durations.get(anim_type, 1.0)
    
    def is_looping_animation(self, anim_type):
        """Determine if animation should loop"""
        looping_anims = ["idle_breathing", "walk_cycle", "run_cycle"]
        return anim_type in looping_anims
    
    def create_environment_set(self, theme, complexity="medium"):
        """Create a set of environment assets"""
        
        environment_elements = [
            f"{theme} building architecture",
            f"{theme} natural vegetation and plants",
            f"{theme} props and decorative objects",
            f"{theme} terrain and landscape features",
            f"{theme} lighting and atmosphere elements"
        ]
        
        environment_assets = []
        
        for element in environment_elements:
            asset = self.generate_environment_asset(element, complexity)
            environment_assets.append(asset)
        
        return {
            "theme": theme,
            "complexity": complexity,
            "assets": environment_assets,
            "asset_count": len(environment_assets)
        }
    
    def generate_environment_asset(self, description, complexity):
        """Generate individual environment asset"""
        
        complexity_settings = {
            "low": {"polygons": 2000, "texture_res": 512},
            "medium": {"polygons": 8000, "texture_res": 1024},
            "high": {"polygons": 20000, "texture_res": 2048}
        }
        
        settings = complexity_settings.get(complexity, complexity_settings["medium"])
        
        response = requests.post(
            "https://api.anyapi.ai/v1/3d/environment-generation",
            headers={
                "Authorization": f"Bearer {self.api_key}",
                "Content-Type": "application/json"
            },
            json={
                "model": "environment-gen",
                "prompt": f"{description}, game environment asset",
                "polygon_budget": settings["polygons"],
                "texture_resolution": settings["texture_res"],
                "modular": True,
                "collision_mesh": True
            }
        )
        
        return response.json()["data"]

# Usage
game_pipeline = GameAssetPipeline("YOUR_API_KEY")

# Create complete game character
character = game_pipeline.create_game_character(
    "Female elf archer with leather armor and mystical bow",
    game_style="fantasy"
)

print(f"Character ID: {character['character_id']}")
print(f"LOD models: {len(character['models']['lod_variants'])}")
print(f"Animations: {list(character['animations'].keys())}")

# Create environment set
environment = game_pipeline.create_environment_set("medieval fantasy village", "high")
print(f"Environment assets: {environment['asset_count']}")

class ProductDesignStudio:
    def __init__(self, api_key):
        self.api_key = api_key
        self.design_iterations = {}
    
    def design_product_concept(self, product_description, design_brief):
        """Create initial product concept from description"""
        
        concept_prompt = f"""
        Product: {product_description}
        Design Brief: {design_brief}
        
        Create a professional product design with:
        - Functional form and ergonomics
        - Aesthetic appeal and modern styling
        - Manufacturing feasibility
        - User-centered design principles
        """
        
        response = requests.post(
            "https://api.anyapi.ai/v1/3d/product-design",
            headers={
                "Authorization": f"Bearer {self.api_key}",
                "Content-Type": "application/json"
            },
            json={
                "model": "product-designer",
                "prompt": concept_prompt,
                "design_style": "modern",
                "output_format": "step",
                "include_technical_drawings": True,
                "cad_compatible": True
            }
        )
        
        concept_data = response.json()["data"]
        
        design_id = f"design_{hash(product_description) % 10000}"
        self.design_iterations[design_id] = {
            "original_concept": concept_data,
            "iterations": [],
            "description": product_description,
            "brief": design_brief
        }
        
        return {
            "design_id": design_id,
            "concept_model": concept_data["model_url"],
            "technical_drawings": concept_data["drawings_url"],
            "specifications": concept_data["specs"]
        }
    
    def iterate_design(self, design_id, feedback, iteration_focus="ergonomics"):
        """Create design iteration based on feedback"""
        
        if design_id not in self.design_iterations:
            return {"error": "Design not found"}
        
        original_design = self.design_iterations[design_id]
        
        iteration_prompts = {
            "ergonomics": "improve ergonomics and user comfort",
            "aesthetics": "enhance visual appeal and styling",
            "functionality": "optimize functional features and usability",
            "manufacturing": "simplify for easier manufacturing and cost reduction",
            "sustainability": "incorporate sustainable materials and eco-friendly design"
        }
        
        focus_prompt = iteration_prompts.get(iteration_focus, iteration_focus)
        
        iteration_prompt = f"""
        Based on this feedback: {feedback}
        
        Focus on: {focus_prompt}
        
        Original product: {original_design['description']}
        Design brief: {original_design['brief']}
        
        Create an improved version that addresses the feedback while maintaining the core design intent.
        """
        
        response = requests.post(
            "https://api.anyapi.ai/v1/3d/design-iteration",
            headers={
                "Authorization": f"Bearer {self.api_key}",
                "Content-Type": "application/json"
            },
            json={
                "base_model": original_design["original_concept"]["model_url"],
                "iteration_prompt": iteration_prompt,
                "preserve_proportions": True,
                "maintain_functionality": True,
                "output_format": "step"
            }
        )
        
        iteration_data = response.json()["data"]
        
        # Store iteration
        self.design_iterations[design_id]["iterations"].append({
            "feedback": feedback,
            "focus": iteration_focus,
            "model_url": iteration_data["model_url"],
            "changes": iteration_data["change_summary"],
            "timestamp": datetime.now().isoformat()
        })
        
        return {
            "iteration_model": iteration_data["model_url"],
            "changes_made": iteration_data["change_summary"],
            "iteration_number": len(self.design_iterations[design_id]["iterations"])
        }
    
    def create_material_variants(self, design_id, materials_list):
        """Create variants with different materials"""
        
        if design_id not in self.design_iterations:
            return {"error": "Design not found"}
        
        base_model = self.design_iterations[design_id]["original_concept"]["model_url"]
        material_variants = []
        
        for material in materials_list:
            variant = self.apply_material(base_model, material)
            material_variants.append({
                "material": material,
                "model_url": variant["model_url"],
                "cost_estimate": variant["cost_estimate"],
                "durability_rating": variant["durability"]
            })
        
        return {
            "design_id": design_id,
            "material_variants": material_variants,
            "variant_count": len(material_variants)
        }
    
    def apply_material(self, model_url, material_description):
        """Apply specific material to model"""
        
        response = requests.post(
            "https://api.anyapi.ai/v1/3d/material-application",
            headers={
                "Authorization": f"Bearer {self.api_key}",
                "Content-Type": "application/json"
            },
            json={
                "input_model": model_url,
                "material": material_description,
                "realistic_rendering": True,
                "include_cost_analysis": True,
                "sustainability_rating": True
            }
        )
        
        return response.json()["data"]
    
    def generate_technical_documentation(self, design_id):
        """Generate technical documentation for manufacturing"""
        
        if design_id not in self.design_iterations:
            return {"error": "Design not found"}
        
        design_data = self.design_iterations[design_id]
        latest_model = design_data["original_concept"]["model_url"]
        
        # Use latest iteration if available
        if design_data["iterations"]:
            latest_model = design_data["iterations"][-1]["model_url"]
        
        response = requests.post(
            "https://api.anyapi.ai/v1/3d/technical-docs",
            headers={
                "Authorization": f"Bearer {self.api_key}",
                "Content-Type": "application/json"
            },
            json={
                "input_model": latest_model,
                "documentation_type": "manufacturing",
                "include_dimensions": True,
                "include_tolerances": True,
                "include_assembly": True,
                "include_bom": True,
                "format": "pdf"
            }
        )
        
        return response.json()["data"]
    
    def create_color_variants(self, design_id, color_schemes):
        """Create color variants of the design"""
        
        if design_id not in self.design_iterations:
            return {"error": "Design not found"}
        
        base_model = self.design_iterations[design_id]["original_concept"]["model_url"]
        color_variants = []
        
        for scheme in color_schemes:
            variant = self.apply_color_scheme(base_model, scheme)
            color_variants.append({
                "color_scheme": scheme,
                "model_url": variant["model_url"],
                "swatch_url": variant["color_swatch"]
            })
        
        return {
            "design_id": design_id,
            "color_variants": color_variants
        }
    
    def apply_color_scheme(self, model_url, color_scheme):
        """Apply color scheme to model"""
        
        response = requests.post(
            "https://api.anyapi.ai/v1/3d/color-application",
            headers={
                "Authorization": f"Bearer {self.api_key}",
                "Content-Type": "application/json"
            },
            json={
                "input_model": model_url,
                "color_scheme": color_scheme,
                "maintain_materials": True,
                "generate_swatch": True
            }
        )
        
        return response.json()["data"]
    
    def export_for_manufacturing(self, design_id, export_format="step"):
        """Export design in manufacturing-ready format"""
        
        if design_id not in self.design_iterations:
            return {"error": "Design not found"}
        
        design_data = self.design_iterations[design_id]
        model_url = design_data["original_concept"]["model_url"]
        
        # Use latest iteration if available
        if design_data["iterations"]:
            model_url = design_data["iterations"][-1]["model_url"]
        
        response = requests.post(
            "https://api.anyapi.ai/v1/3d/manufacturing-export",
            headers={
                "Authorization": f"Bearer {self.api_key}",
                "Content-Type": "application/json"
            },
            json={
                "input_model": model_url,
                "export_format": export_format,
                "manufacturing_ready": True,
                "include_toolpath": True,
                "quality_check": True
            }
        )
        
        return response.json()["data"]

# Usage
product_studio = ProductDesignStudio("YOUR_API_KEY")

# Create initial product concept
concept = product_studio.design_product_concept(
    "Wireless charging desk lamp with adjustable arm",
    "Modern minimalist design for home office, sustainable materials, user-friendly controls"
)

print(f"Design ID: {concept['design_id']}")
print(f"Concept model: {concept['concept_model']}")

# Iterate based on feedback
iteration = product_studio.iterate_design(
    concept['design_id'],
    "The base seems too small for stability, and the charging pad should be more prominent",
    "functionality"
)

print(f"Iteration model: {iteration['iteration_model']}")
print(f"Changes made: {iteration['changes_made']}")

# Create material variants
materials = ["brushed aluminum", "bamboo wood", "recycled plastic", "carbon fiber"]
material_variants = product_studio.create_material_variants(concept['design_id'], materials)

print(f"Material variants: {material_variants['variant_count']}")

# Generate technical documentation
tech_docs = product_studio.generate_technical_documentation(concept['design_id'])
print(f"Technical docs: {tech_docs['documentation_url']}")

class ArchitecturalVisualizer:
    def __init__(self, api_key):
        self.api_key = api_key
        self.projects = {}
    
    def create_building_design(self, architectural_brief, building_type="residential"):
        """Create architectural design from brief"""
        
        building_prompts = {
            "residential": "modern residential architecture with clean lines and natural lighting",
            "commercial": "professional commercial building with functional design and accessibility",
            "industrial": "efficient industrial building with practical layouts and material flow",
            "cultural": "inspiring cultural building with unique architectural features"
        }
        
        style_context = building_prompts.get(building_type, building_type)
        
        full_prompt = f"""
        Architectural Brief: {architectural_brief}
        Building Type: {building_type}
        Style Context: {style_context}
        
        Create architectural design with:
        - Proper structural elements and realistic proportions
        - Environmental context and site integration
        - Natural lighting and ventilation considerations
        - Accessible design and building code compliance
        - Sustainable design principles
        """
        
        response = requests.post(
            "https://api.anyapi.ai/v1/3d/architectural-design",
            headers={
                "Authorization": f"Bearer {self.api_key}",
                "Content-Type": "application/json"
            },
            json={
                "model": "architect-ai",
                "prompt": full_prompt,
                "building_type": building_type,
                "include_site_context": True,
                "structural_analysis": True,
                "output_format": "ifc",
                "lod": "300"  # Level of Detail for construction
            }
        )
        
        building_data = response.json()["data"]
        
        project_id = f"arch_{hash(architectural_brief) % 10000}"
        self.projects[project_id] = {
            "brief": architectural_brief,
            "building_type": building_type,
            "design_data": building_data,
            "renderings": [],
            "floor_plans": []
        }
        
        return {
            "project_id": project_id,
            "building_model": building_data["model_url"],
            "floor_plans": building_data["floor_plans_url"],
            "structural_data": building_data["structural_url"]
        }
    
    def create_interior_design(self, project_id, room_specifications):
        """Create interior design for building"""
        
        if project_id not in self.projects:
            return {"error": "Project not found"}
        
        building_model = self.projects[project_id]["design_data"]["model_url"]
        interior_designs = {}
        
        for room_name, room_spec in room_specifications.items():
            interior = self.design_room_interior(building_model, room_name, room_spec)
            interior_designs[room_name] = interior
        
        self.projects[project_id]["interiors"] = interior_designs
        
        return {
            "project_id": project_id,
            "interior_designs": interior_designs,
            "rooms_designed": list(interior_designs.keys())
        }
    
    def design_room_interior(self, building_model, room_name, specifications):
        """Design interior for specific room"""
        
        response = requests.post(
            "https://api.anyapi.ai/v1/3d/interior-design",
            headers={
                "Authorization": f"Bearer {self.api_key}",
                "Content-Type": "application/json"
            },
            json={
                "building_model": building_model,
                "room_name": room_name,
                "specifications": specifications,
                "style": specifications.get("style", "modern"),
                "furniture_layout": True,
                "lighting_design": True,
                "material_selection": True
            }
        )
        
        return response.json()["data"]
    
    def create_photorealistic_rendering(self, project_id, view_specifications):
        """Create photorealistic architectural renderings"""
        
        if project_id not in self.projects:
            return {"error": "Project not found"}
        
        building_model = self.projects[project_id]["design_data"]["model_url"]
        renderings = []
        
        for view_spec in view_specifications:
            rendering = self.render_architectural_view(building_model, view_spec)
            renderings.append(rendering)
        
        self.projects[project_id]["renderings"] = renderings
        
        return {
            "project_id": project_id,
            "renderings": renderings,
            "rendering_count": len(renderings)
        }
    
    def render_architectural_view(self, building_model, view_spec):
        """Create single architectural rendering"""
        
        response = requests.post(
            "https://api.anyapi.ai/v1/3d/architectural-render",
            headers={
                "Authorization": f"Bearer {self.api_key}",
                "Content-Type": "application/json"
            },
            json={
                "building_model": building_model,
                "camera_position": view_spec["camera_position"],
                "time_of_day": view_spec.get("time_of_day", "golden_hour"),
                "weather": view_spec.get("weather", "clear"),
                "season": view_spec.get("season", "spring"),
                "resolution": view_spec.get("resolution", "4k"),
                "style": view_spec.get("style", "photorealistic"),
                "include_people": view_spec.get("include_people", True),
                "include_vehicles": view_spec.get("include_vehicles", False)
            }
        )
        
        return response.json()["data"]
    
    def create_virtual_tour(self, project_id, tour_waypoints):
        """Create virtual reality tour of building"""
        
        if project_id not in self.projects:
            return {"error": "Project not found"}
        
        building_model = self.projects[project_id]["design_data"]["model_url"]
        
        response = requests.post(
            "https://api.anyapi.ai/v1/3d/virtual-tour",
            headers={
                "Authorization": f"Bearer {self.api_key}",
                "Content-Type": "application/json"
            },
            json={
                "building_model": building_model,
                "waypoints": tour_waypoints,
                "navigation_mode": "smooth",
                "include_hotspots": True,
                "vr_compatible": True,
                "web_compatible": True
            }
        )
        
        tour_data = response.json()["data"]
        
        self.projects[project_id]["virtual_tour"] = tour_data
        
        return {
            "project_id": project_id,
            "tour_url": tour_data["tour_url"],
            "vr_url": tour_data["vr_url"],
            "embed_code": tour_data["embed_code"]
        }
    
    def generate_construction_drawings(self, project_id):
        """Generate construction drawings and documentation"""
        
        if project_id not in self.projects:
            return {"error": "Project not found"}
        
        building_model = self.projects[project_id]["design_data"]["model_url"]
        
        response = requests.post(
            "https://api.anyapi.ai/v1/3d/construction-drawings",
            headers={
                "Authorization": f"Bearer {self.api_key}",
                "Content-Type": "application/json"
            },
            json={
                "building_model": building_model,
                "drawing_types": [
                    "floor_plans",
                    "elevations", 
                    "sections",
                    "details",
                    "structural_plans"
                ],
                "scale": "1:100",
                "include_dimensions": True,
                "include_annotations": True,
                "format": "dwg"
            }
        )
        
        return response.json()["data"]

# Usage
arch_visualizer = ArchitecturalVisualizer("YOUR_API_KEY")

# Create building design
building = arch_visualizer.create_building_design(
    "Modern 3-story office building with glass facade, open floor plans, rooftop garden, and sustainable features",
    "commercial"
)

print(f"Project ID: {building['project_id']}")

# Create interior designs
room_specs = {
    "lobby": {
        "style": "modern minimalist",
        "features": ["reception desk", "seating area", "art installation"],
        "lighting": "natural and accent"
    },
    "office_floor": {
        "style": "collaborative workspace", 
        "features": ["open desk areas", "meeting rooms", "break areas"],
        "lighting": "task and ambient"
    },
    "conference_room": {
        "style": "executive",
        "features": ["large conference table", "presentation screen", "video conferencing"],
        "lighting": "adjustable"
    }
}

interiors = arch_visualizer.create_interior_design(building['project_id'], room_specs)
print(f"Interior designs created for: {interiors['rooms_designed']}")

# Create renderings
view_specs = [
    {
        "camera_position": "exterior_front",
        "time_of_day": "golden_hour",
        "weather": "clear",
        "include_people": True
    },
    {
        "camera_position": "lobby_interior",
        "time_of_day": "midday",
        "style": "photorealistic"
    },
    {
        "camera_position": "aerial_view",
        "time_of_day": "sunset",
        "include_vehicles": True
    }
]

renderings = arch_visualizer.create_photorealistic_rendering(building['project_id'], view_specs)
print(f"Created {renderings['rendering_count']} renderings")

# Create virtual tour
tour_waypoints = [
    {"name": "Building Entrance", "position": "front_entrance"},
    {"name": "Lobby", "position": "lobby_center"},
    {"name": "Office Floor", "position": "office_overview"},
    {"name": "Conference Room", "position": "conference_center"},
    {"name": "Rooftop Garden", "position": "rooftop_view"}
]

virtual_tour = arch_visualizer.create_virtual_tour(building['project_id'], tour_waypoints)
print(f"Virtual tour created: {virtual_tour['tour_url']}")