core/visual_engine.py

# core/visual_engine.py
from PIL import Image, ImageDraw, ImageFont
from moviepy.editor import (ImageClip, concatenate_videoclips, TextClip, 
                            CompositeVideoClip, AudioFileClip)
import moviepy.video.fx.all as vfx 
import numpy as np
import os
import openai
import requests
import io
import time
from elevenlabs import generate as elevenlabs_generate_audio, set_api_key as elevenlabs_set_api_key_func

class VisualEngine:
    def __init__(self, output_dir="temp_cinegen_media"):
        self.output_dir = output_dir
        os.makedirs(self.output_dir, exist_ok=True)
        
        self.font_filename = "arial.ttf" 
        self.font_path_in_container = f"/usr/local/share/fonts/truetype/mycustomfonts/{self.font_filename}"
        self.font_size_pil = 20 
        self.video_overlay_font_size = 30 # Slightly smaller for more text with narration
        self.video_overlay_font_color = 'white'
        self.video_overlay_font = 'Arial-Bold' 

        try:
            self.font = ImageFont.truetype(self.font_path_in_container, self.font_size_pil)
            print(f"Font for placeholders: {self.font_path_in_container}.")
        except IOError:
            print(f"Warning: Placeholder font '{self.font_path_in_container}' not loaded. Using default.")
            self.font = ImageFont.load_default(); self.font_size_pil = 10

        self.openai_api_key = None; self.USE_AI_IMAGE_GENERATION = False
        self.dalle_model = "dall-e-3"; self.image_size_dalle3 = "1792x1024"
        self.video_frame_size = (1280, 720)

        self.elevenlabs_api_key = None; self.USE_ELEVENLABS = False
        self.elevenlabs_voice_id = "Rachel" # Default, can be made configurable

        self.pexels_api_key = None; self.USE_PEXELS = False

    def set_openai_api_key(self, api_key):
        if api_key: self.openai_api_key = api_key; self.USE_AI_IMAGE_GENERATION = True; print(f"DALL-E ({self.dalle_model}) Ready.")
        else: self.USE_AI_IMAGE_GENERATION = False; print("DALL-E Disabled.")

    def set_elevenlabs_api_key(self, api_key):
        if api_key:
            self.elevenlabs_api_key = api_key
            try:
                elevenlabs_set_api_key_func(api_key) # Set for the elevenlabs library
                self.USE_ELEVENLABS = True
                print("ElevenLabs Ready.")
            except Exception as e:
                print(f"Error setting ElevenLabs API key for library: {e}. ElevenLabs disabled.")
                self.USE_ELEVENLABS = False
        else: self.USE_ELEVENLABS = False; print("ElevenLabs Disabled.")

    def set_pexels_api_key(self, api_key):
        if api_key: self.pexels_api_key = api_key; self.USE_PEXELS = True; print("Pexels Ready.")
        else: self.USE_PEXELS = False; print("Pexels Disabled.")
    
    def _get_text_dimensions(self, text_content, font_obj): # Remains same
        if not text_content: return 0, self.font_size_pil 
        try:
            if hasattr(font_obj, 'getbbox'): bbox = font_obj.getbbox(text_content); w = bbox[2]-bbox[0]; h = bbox[3]-bbox[1]; return w, h if h>0 else self.font_size_pil
            elif hasattr(font_obj, 'getsize'): w,h = font_obj.getsize(text_content); return w, h if h>0 else self.font_size_pil
            else: return int(len(text_content)*self.font_size_pil*0.6), int(self.font_size_pil*1.2 if self.font_size_pil*1.2 > 0 else self.font_size_pil)
        except: return int(len(text_content)*self.font_size_pil*0.6), int(self.font_size_pil*1.2)

    def _create_placeholder_image_content(self, text_description, filename, size=(1280, 720)): # Remains same
        img = Image.new('RGB', size, color=(20,20,40)); draw = ImageDraw.Draw(img); padding = 25; max_w = size[0]-(2*padding); lines = []
        if not text_description: text_description = "(Placeholder)"
        words = text_description.split(); current_line = ""
        for word in words:
            test_line = current_line + word + " "; 
            if self._get_text_dimensions(test_line, self.font)[0] <= max_w: current_line = test_line
            else: 
                if current_line: lines.append(current_line.strip())
                current_line = word + " "
        if current_line: lines.append(current_line.strip())
        if not lines: lines.append("(Text err)")
        _, line_h = self._get_text_dimensions("Ay", self.font); line_h = line_h if line_h>0 else self.font_size_pil+2
        max_lines = min(len(lines), (size[1]-2*padding)//(line_h+2))
        y = padding + (size[1]-2*padding - max_lines*(line_h+2))/2.0
        for i in range(max_lines):
            line = lines[i]; line_w, _ = self._get_text_dimensions(line, self.font); x = (size[0]-line_w)/2.0
            draw.text((x,y), line, font=self.font, fill=(200,200,180)); y += line_h+2
            if i==6 and max_lines>7: draw.text((x,y), "...", font=self.font, fill=(200,200,180)); break
        fp = os.path.join(self.output_dir, filename); 
        try: img.save(fp); return fp
        except Exception as e: print(f"Err placeholder save: {e}"); return None

    def _search_pexels_image(self, query, output_filename):
        if not self.USE_PEXELS or not self.pexels_api_key: return None
        headers = {"Authorization": self.pexels_api_key}
        params = {"query": query, "per_page": 1, "orientation": "landscape", "size": "large"}
        # Ensure JPG for pexels typical format, but DALL-E images are PNG. Filename will be distinct.
        pexels_filename = output_filename.replace(".png", "_pexels.jpg") 
        filepath = os.path.join(self.output_dir, pexels_filename)
        try:
            print(f"Searching Pexels for: '{query}' (max 3 words for relevance)")
            # Limit query length for Pexels to improve relevance
            query_parts = query.split()
            effective_query = " ".join(query_parts[:5]) # Use first 5 words
            params["query"] = effective_query

            response = requests.get("https://api.pexels.com/v1/search", headers=headers, params=params, timeout=15)
            response.raise_for_status()
            data = response.json()
            if data.get("photos"):
                photo_url = data["photos"][0]["src"]["large2x"] 
                image_response = requests.get(photo_url, timeout=45)
                image_response.raise_for_status()
                img_data = Image.open(io.BytesIO(image_response.content))
                if img_data.mode != 'RGB': img_data = img_data.convert('RGB')
                img_data.save(filepath)
                print(f"Pexels image saved: {filepath}")
                return filepath
            else:
                print(f"No photos found on Pexels for query: '{effective_query}'")
        except Exception as e: print(f"Pexels search/download error for '{query}': {e}")
        return None

    def generate_image_visual(self, image_prompt_text, scene_data_for_fallbacks, scene_identifier_filename):
        filepath = os.path.join(self.output_dir, scene_identifier_filename)
        if self.USE_AI_IMAGE_GENERATION and self.openai_api_key:
            max_retries = 2
            for attempt in range(max_retries):
                try:
                    print(f"Attempt {attempt+1}: DALL-E ({self.dalle_model}) for: {image_prompt_text[:120]}...")
                    client = openai.OpenAI(api_key=self.openai_api_key, timeout=90.0) # Increased client timeout
                    response = client.images.generate(
                        model=self.dalle_model, prompt=image_prompt_text, n=1, 
                        size=self.image_size_dalle3, quality="hd", response_format="url", style="vivid"
                    )
                    image_url = response.data[0].url
                    revised_prompt = getattr(response.data[0], 'revised_prompt', None)
                    if revised_prompt: print(f"DALL-E 3 revised_prompt: {revised_prompt[:100]}...")
                    
                    image_response = requests.get(image_url, timeout=120) # Increased download timeout
                    image_response.raise_for_status()
                    img_data = Image.open(io.BytesIO(image_response.content))
                    if img_data.mode != 'RGB': img_data = img_data.convert('RGB')
                    img_data.save(filepath); print(f"AI Image (DALL-E) saved: {filepath}"); return filepath 
                except openai.RateLimitError as e: 
                    print(f"OpenAI Rate Limit: {e}. Retrying after {5*(attempt+1)}s...")
                    time.sleep(5*(attempt+1)); 
                    if attempt == max_retries -1: print("Max retries for RateLimitError."); break # Break from loop
                    else: continue # Go to next attempt
                except openai.APIError as e: print(f"OpenAI API Error: {e}"); break 
                except requests.exceptions.RequestException as e: print(f"Requests Error (DALL-E download): {e}"); break
                except Exception as e: print(f"Generic error (DALL-E gen): {e}"); break
            
            print("DALL-E generation failed. Trying Pexels fallback...")
            pexels_query = f"{scene_data_for_fallbacks.get('emotional_beat','')} {scene_data_for_fallbacks.get('setting_description','')} {scene_data_for_fallbacks.get('genre','')} {scene_data_for_fallbacks.get('mood','')}"
            pexels_path = self._search_pexels_image(pexels_query, scene_identifier_filename)
            if pexels_path: return pexels_path
            
            print("Pexels also failed/disabled. Using placeholder.")
            return self._create_placeholder_image_content(
                f"[AI/Pexels Failed] Original Prompt: {image_prompt_text[:100]}...", 
                scene_identifier_filename, size=self.video_frame_size
            )
        else: # AI image generation not enabled
            return self._create_placeholder_image_content(
                image_prompt_text, scene_identifier_filename, size=self.video_frame_size
            )

    def generate_narration_audio(self, text_to_narrate, output_filename="narration_overall.mp3"):
        if not self.USE_ELEVENLABS or not self.elevenlabs_api_key or not text_to_narrate:
            print("ElevenLabs not enabled, API key missing, or no text provided. Skipping audio generation.")
            return None
        
        audio_filepath = os.path.join(self.output_dir, output_filename)
        try:
            print(f"Generating ElevenLabs audio (Voice: {self.elevenlabs_voice_id}) for: {text_to_narrate[:70]}...")
            # Ensure API key is set for the elevenlabs library context if it's not global
            # elevenlabs_set_api_key_func(self.elevenlabs_api_key) # Usually set once globally is enough
            
            audio_data = elevenlabs_generate_audio(
                text=text_to_narrate,
                voice=self.elevenlabs_voice_id,
                model="eleven_multilingual_v2" # Or other suitable model like "eleven_turbo_v2"
            )
            with open(audio_filepath, "wb") as f:
                f.write(audio_data)
            print(f"ElevenLabs audio saved: {audio_filepath}")
            return audio_filepath
        except ImportError:
            print("ElevenLabs library not installed. Cannot generate audio.")
        except Exception as e:
            print(f"Error generating ElevenLabs audio: {e}")
        return None

    def create_video_from_images(self, image_data_list, overall_narration_path=None, output_filename="final_video.mp4", fps=24, duration_per_image=4):
        if not image_data_list: return None
        print(f"Creating video from {len(image_data_list)} image sets.")
        processed_clips = []
        narration_audio_clip = None # Initialize
        final_video_clip_obj = None # Initialize

        for i, data in enumerate(image_data_list):
            img_path, scene_num, key_action = data.get('path'), data.get('scene_num', i+1), data.get('key_action', '')
            if not (img_path and os.path.exists(img_path)):
                print(f"Image not found: {img_path}. Skipping."); continue
            try:
                pil_img_orig = Image.open(img_path)
                if pil_img_orig.mode != 'RGB': pil_img_orig = pil_img_orig.convert('RGB')
                img_for_frame = pil_img_orig.copy()
                img_for_frame.thumbnail(self.video_frame_size, Image.Resampling.LANCZOS)
                canvas = Image.new('RGB', self.video_frame_size, (0,0,0))
                x_offset = (self.video_frame_size[0] - img_for_frame.width) // 2
                y_offset = (self.video_frame_size[1] - img_for_frame.height) // 2
                canvas.paste(img_for_frame, (x_offset, y_offset))
                frame_np = np.array(canvas)
                img_clip = ImageClip(frame_np).set_duration(duration_per_image)
                img_clip = img_clip.fx(vfx.resize, lambda t: 1 + 0.1 * (t / duration_per_image)).set_position('center')
                if key_action:
                    overlay_text = f"Scene {scene_num}\n{key_action}"
                    txt_clip = TextClip(overlay_text, fontsize=self.video_overlay_font_size, 
                                        color=self.video_overlay_font_color, font=self.video_overlay_font,
                                        bg_color='rgba(0,0,0,0.7)', method='caption', align='West',
                                        size=(self.video_frame_size[0]*0.85, None), kerning=-1, stroke_color='black', stroke_width=0.5
                                       ).set_duration(duration_per_image - 1.0).set_start(0.5).set_position(('center', 0.88), relative=True)
                    final_scene_clip = CompositeVideoClip([img_clip, txt_clip], size=self.video_frame_size)
                else: final_scene_clip = img_clip
                processed_clips.append(final_scene_clip)
            except Exception as e: print(f"Error processing clip for {img_path}: {e}. Skipping.")
        
        if not processed_clips: print("No clips processed for video."); return None
        
        video_wo_audio = concatenate_videoclips(processed_clips, padding=-0.75, method="compose")
        if video_wo_audio.duration > 1.5: 
            video_wo_audio = video_wo_audio.fx(vfx.fadein, 0.75).fx(vfx.fadeout, 0.75)
        
        final_video_clip_obj = video_wo_audio
        if overall_narration_path and os.path.exists(overall_narration_path):
            try:
                narration_audio_clip = AudioFileClip(overall_narration_path)
                final_video_clip_obj = final_video_clip_obj.set_audio(narration_audio_clip)
                if narration_audio_clip.duration < final_video_clip_obj.duration:
                    final_video_clip_obj = final_video_clip_obj.subclip(0, narration_audio_clip.duration)
                elif narration_audio_clip.duration > final_video_clip_obj.duration:
                     # If audio is longer, we might want to loop video or extend last frame - complex.
                     # For now, video duration dictates. Audio will be cut.
                     # Or, ensure narration script length matches expected video length.
                     pass # Moviepy will cut audio to video duration by default with set_audio
                print("Overall narration added to video.")
            except Exception as e:
                print(f"Error adding overall narration: {e}. Proceeding without main narration.")
        
        output_path = os.path.join(self.output_dir, output_filename)
        try:
            final_video_clip_obj.write_videofile(output_path, fps=fps, codec='libx264', preset='medium', audio_codec='aac',
                                        temp_audiofile=os.path.join(self.output_dir, f'temp-audio-{os.urandom(4).hex()}.m4a'), 
                                        remove_temp=True, threads=os.cpu_count() or 2, logger='bar')
            print(f"Video created: {output_path}"); return output_path
        except Exception as e: print(f"Error writing video file: {e}"); return None
        finally: # Ensure clips are closed
            for clip_item in processed_clips: 
                if hasattr(clip_item, 'close'): clip_item.close()
            if narration_audio_clip and hasattr(narration_audio_clip, 'close'): narration_audio_clip.close()
            if final_video_clip_obj and hasattr(final_video_clip_obj, 'close'): final_video_clip_obj.close()