Update core/visual_engine.py

core/visual_engine.py

@@ -10,86 +10,164 @@ import requests
 import io
 import time
 import random 
-#from elevenlabs import generate as elevenlabs_generate_audio, set_api_key as elevenlabs_set_api_key_func
-# Import ElevenLabs client class and methods:
-from elevenlabs.client import ElevenLabs
+import subprocess # For the dummy video fallback
+
+# --- ElevenLabs Import ---
+ELEVENLABS_CLIENT_IMPORTED = False
+ElevenLabsAPIClient = None # Placeholder for the class
+Voice = None               # Placeholder for the class
+VoiceSettings = None       # Placeholder for the class
+
+try:
+    from elevenlabs.client import ElevenLabs as ImportedElevenLabsClient 
+    from elevenlabs import Voice as ImportedVoice, VoiceSettings as ImportedVoiceSettings
+    
+    ElevenLabsAPIClient = ImportedElevenLabsClient 
+    Voice = ImportedVoice
+    VoiceSettings = ImportedVoiceSettings
+    ELEVENLABS_CLIENT_IMPORTED = True
+    print("Successfully imported ElevenLabs client components (SDK v1.x.x pattern).")
+except ImportError as e_eleven:
+    print(f"WARNING: Could not import ElevenLabs client components: {e_eleven}. ElevenLabs audio generation will be disabled.")
+except Exception as e_gen_eleven: # Catch any other general import error for elevenlabs
+    print(f"WARNING: General error importing ElevenLabs: {e_gen_eleven}. ElevenLabs audio generation will be disabled.")
+
+
 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; 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"Placeholder font: {self.font_path_in_container}.")
-        except IOError: print(f"Warn: Placeholder font '{self.font_path_in_container}' fail. 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.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 
+        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"Placeholder font loaded: {self.font_path_in_container}.") # Less verbose
+        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"
-        self.pexels_api_key = None; self.USE_PEXELS = False
+
+        # ElevenLabs Client
+        self.elevenlabs_api_key = None
+        self.USE_ELEVENLABS = False
+        self.elevenlabs_client = None 
+        self.elevenlabs_voice_id = "Rachel" # Default, can be name or ID
+        if VoiceSettings: # Check if VoiceSettings was successfully imported
+            self.elevenlabs_voice_settings = VoiceSettings(
+                stability=0.65, similarity_boost=0.75, 
+                style=0.1, use_speaker_boost=True
+            )
+        else:
+            self.elevenlabs_voice_settings = None
+
+        self.pexels_api_key = None
+        self.USE_PEXELS = False
 
     def set_openai_api_key(self,k): 
-        self.openai_api_key=k; self.USE_AI_IMAGE_GENERATION=bool(k)
-        print(f"DALL-E ({self.dalle_model}) {'Ready' if k else 'Disabled'}.")
-    def set_elevenlabs_api_key(self,k):
-        self.elevenlabs_api_key=k
-        if k: 
-            try: elevenlabs_set_api_key_func(k); self.USE_ELEVENLABS=True; print("ElevenLabs Ready.")
-            except Exception as e: print(f"ElevenLabs key set error: {e}. Disabled."); self.USE_ELEVENLABS=False
-        else: self.USE_ELEVENLABS=False
+        self.openai_api_key=k
+        self.USE_AI_IMAGE_GENERATION=bool(k)
+        # print(f"DALL-E ({self.dalle_model}) {'Ready' if k else 'Disabled'}.")
+
+    def set_elevenlabs_api_key(self,api_key):
+        self.elevenlabs_api_key=api_key
+        if api_key and ELEVENLABS_CLIENT_IMPORTED and ElevenLabsAPIClient: 
+            try: 
+                self.elevenlabs_client = ElevenLabsAPIClient(api_key=api_key) 
+                # Optional: Test client (e.g., fetch voices) can be added here for robust init
+                # voices_test = self.elevenlabs_client.voices.get_all() # This makes an API call
+                # if voices_test and voices_test.voices: print("ElevenLabs client connected.")
+                self.USE_ELEVENLABS=True
+                # print("ElevenLabs Client Ready.")
+            except Exception as e: 
+                print(f"Error initializing ElevenLabs client with API key: {e}. ElevenLabs Disabled."); 
+                self.USE_ELEVENLABS=False; self.elevenlabs_client = None
+        else: 
+            self.USE_ELEVENLABS=False; self.elevenlabs_client = None
+            # if not ELEVENLABS_CLIENT_IMPORTED or not ElevenLabsAPIClient:
+                # print("ElevenLabs Client class was not imported. ElevenLabs Disabled.") # Already printed at import
+            # else:
+                # print("ElevenLabs API Key not provided. ElevenLabs Disabled.") # Less verbose
+            
     def set_pexels_api_key(self,k):
         self.pexels_api_key=k; self.USE_PEXELS=bool(k)
-        print(f"Pexels {'Ready' if k else 'Disabled'}.")
-
-    def _get_text_dimensions(self,t,f): 
-        if not t: return 0,self.font_size_pil
+        # print(f"Pexels {'Ready' if k else 'Disabled'}.")
+    
+    def _get_text_dimensions(self,text_content,font_obj):
+        if not text_content: return 0,self.font_size_pil 
         try:
-            if hasattr(f,'getbbox'): bb=f.getbbox(t);w=bb[2]-bb[0];h=bb[3]-bb[1];return w,h if h>0 else self.font_size_pil
-            elif hasattr(f,'getsize'): w,h=f.getsize(t);return w,h if h>0 else self.font_size_pil
-            else: return int(len(t)*self.font_size_pil*.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(t)*self.font_size_pil*.6),int(self.font_size_pil*1.2)
+            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: # Fallback
+                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 Exception: # Generic fallback on error
+            return int(len(text_content)*self.font_size_pil*0.6),int(self.font_size_pil*1.2)
     
-    def _create_placeholder_image_content(self,td,fn,s=(1280,720)): 
-        img=Image.new('RGB',s,color=(20,20,40));d=ImageDraw.Draw(img);p=25;max_w=s[0]-(2*p);ls=[];
-        if not td: td="(Placeholder)"
-        ws=td.split();cl=""
-        for w in ws:
-            tl=cl+w+" ";
-            if self._get_text_dimensions(tl,self.font)[0]<=max_w: cl=tl
+    def _create_placeholder_image_content(self,text_description,filename,size=(1280,720)):
+        img=Image.new('RGB',size,color=(20,20,40));d=ImageDraw.Draw(img);padding=25;max_w=size[0]-(2*padding);lines=[];
+        if not text_description: text_description="(Placeholder: No prompt text)"
+        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 cl:ls.append(cl.strip())
-                cl=w+" "
-        if cl:ls.append(cl.strip())
-        if not ls:ls.append("(Text err)")
-        _,sh=self._get_text_dimensions("Ay",self.font);sh=sh if sh>0 else self.font_size_pil+2
-        max_ls=min(len(ls),(s[1]-2*p)//(sh+2));
-        yt=p+(s[1]-2*p-max_ls*(sh+2))/2.0
-        for i in range(max_ls):
-            line=ls[i];lw,_=self._get_text_dimensions(line,self.font);xt=(s[0]-lw)/2.0
-            d.text((xt,yt),line,font=self.font,fill=(200,200,180));yt+=sh+2
-            if i==6 and max_ls>7:d.text((xt,yt),"...",font=self.font,fill=(200,200,180));break
-        fp=os.path.join(self.output_dir,fn);
-        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 current_line: lines.append(current_line.strip())
+                current_line=word+" "
+        if current_line: lines.append(current_line.strip())
+        if not lines: lines.append("(Text error or too long for placeholder)")
+
+        _,single_line_h=self._get_text_dimensions("Ay",self.font)
+        single_line_h = single_line_h if single_line_h > 0 else self.font_size_pil + 2
+        
+        max_lines_to_display=min(len(lines),(size[1]-(2*padding))//(single_line_h+2)) # Max lines based on height
+        
+        y_text=padding + (size[1]-(2*padding) - max_lines_to_display*(single_line_h+2))/2.0
+
+        for i in range(max_lines_to_display):
+            line_content=lines[i];line_w,_=self._get_text_dimensions(line_content,self.font);x_text=(size[0]-line_w)/2.0
+            d.text((x_text,y_text),line_content,font=self.font,fill=(200,200,180));y_text+=single_line_h+2
+            if i==6 and max_lines_to_display > 7: # Show ellipsis if more text
+                d.text((x_text,y_text),"...",font=self.font,fill=(200,200,180));break
+        filepath=os.path.join(self.output_dir,filename)
+        try:img.save(filepath);return filepath
+        except Exception as e:print(f"Error saving placeholder image {filepath}: {e}");return None
+
+    def _search_pexels_image(self, query, output_filename_base):
         if not self.USE_PEXELS or not self.pexels_api_key: return None
         headers = {"Authorization": self.pexels_api_key}
-        params = {"query": query, "per_page": 3, "orientation": "landscape", "size": "large"}
-        pexels_filename = output_filename.replace(".png", f"_pexels_{random.randint(100,999)}.jpg")
+        params = {"query": query, "per_page": 1, "orientation": "landscape", "size": "large"} # Get only 1 relevant image
+        pexels_filename = output_filename_base.replace(".png", f"_pexels_{random.randint(100,999)}.jpg")
         filepath = os.path.join(self.output_dir, pexels_filename)
         try:
             print(f"Searching Pexels for: '{query}'")
-            query_parts = query.split(); effective_query = " ".join(query_parts[:5])
+            effective_query = " ".join(query.split()[:5]) # Use first 5 words for Pexels query
             params["query"] = effective_query
-            response = requests.get("https://api.pexels.com/v1/search", headers=headers, params=params, timeout=15)
+
+            response = requests.get("https://api.pexels.com/v1/search", headers=headers, params=params, timeout=20)
             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()
+            if data.get("photos") and len(data["photos"]) > 0:
+                photo_url = data["photos"][0]["src"]["large2x"] # High quality
+                image_response = requests.get(photo_url, timeout=60); 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 on Pexels for: '{effective_query}'")
-        except Exception as e: print(f"Pexels error for '{query}': {e}")
+            else: print(f"No photos found on Pexels for query: '{effective_query}'")
+        except Exception as e: print(f"Pexels search/download error for query '{query}': {e}")
         return None
 
     def generate_image_visual(self, image_prompt_text, scene_data, scene_identifier_filename):
@@ -101,87 +179,82 @@ class VisualEngine:
                     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)
                     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"
+                        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]}...")
+                    if revised_prompt: print(f"DALL-E 3 revised_prompt: {revised_prompt[:100]}...")
                     
                     image_response = requests.get(image_url, timeout=120)
                     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')
+                    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 
-                
+                    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))
-                    # CORRECTED INDENTATION FOR THIS BLOCK
-                    if attempt == max_retries - 1: 
-                        print("Max retries reached for RateLimitError.")
-                        break # Break from the for loop if max retries hit for RateLimitError
-                    else:
-                        continue # Go to the next attempt in the for loop
-                
-                except openai.APIError as e: 
-                    print(f"OpenAI API Error: {e}")
-                    break # Break from loop, will try Pexels/placeholder
-                except requests.exceptions.RequestException as e: 
-                    print(f"Requests Error (DALL-E image download): {e}")
-                    break # Break from loop
-                except Exception as e: 
-                    print(f"Generic error (DALL-E gen): {e}")
-                    break # Break from loop
+                    if attempt == max_retries - 1: print("Max retries for RateLimitError."); break
+                    else: continue
+                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
             
-            # This code block is reached if the 'for' loop completes (max retries) 
-            # or if it 'break's due to an error other than RateLimitError (where it 'continue's)
-            print("DALL-E generation failed or max retries reached. Trying Pexels fallback...")
-            pexels_query_text = scene_data.get('pexels_search_query_감독', f"{scene_data.get('emotional_beat','')} {scene_data.get('setting_description','')}")
+            print("DALL-E generation failed. Trying Pexels fallback...")
+            pexels_query_text = scene_data.get('pexels_search_query_감독', 
+                                             f"{scene_data.get('emotional_beat','')} {scene_data.get('setting_description','')}")
             pexels_path = self._search_pexels_image(pexels_query_text, scene_identifier_filename)
-            if pexels_path: 
-                return pexels_path
+            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
+        else: 
             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 disabled/no text. Skipping audio."); return None
+        if not self.USE_ELEVENLABS or not self.elevenlabs_client or not text_to_narrate:
+            # print("ElevenLabs not enabled, client not initialized, or no text. Skipping audio.") # Less verbose
+            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]}...")
-            # elevenlabs_set_api_key_func(self.elevenlabs_api_key) # Set key if library requires it per call
-            audio_data = elevenlabs_generate_audio(text=text_to_narrate, voice=self.elevenlabs_voice_id, model="eleven_multilingual_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 found. Install it.")
-        except Exception as e: print(f"Error ElevenLabs audio: {e}")
+            
+            voice_param = self.elevenlabs_voice_id # Default to string ID
+            if Voice and self.elevenlabs_voice_settings: # Check if Voice & VoiceSettings were imported
+                voice_param = Voice(
+                    voice_id=self.elevenlabs_voice_id,
+                    settings=self.elevenlabs_voice_settings
+                )
+            
+            audio_data_iterator = self.elevenlabs_client.generate(
+                text=text_to_narrate,
+                voice=voice_param, 
+                model="eleven_multilingual_v2" # Or other models e.g. "eleven_turbo_v2"
+            )
+            
+            with open(audio_filepath, "wb") as f:
+                for chunk in audio_data_iterator: 
+                    if chunk: f.write(chunk)
+            
+            print(f"ElevenLabs audio saved: {audio_filepath}")
+            return audio_filepath
+        except AttributeError as ae:
+             print(f"AttributeError with ElevenLabs client (method name like 'generate' might differ): {ae}")
+        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=4.5):
-        if not image_data_list: return None
-        print(f"Creating video from {len(image_data_list)} image sets.")
-        processed_clips = []
-        narration_audio_clip = None 
-        final_video_clip_obj = None 
+        if not image_data_list: print("No image data for video."); return None
+        # print(f"Creating video from {len(image_data_list)} image sets.") # Less verbose
+        processed_clips = []; narration_audio_clip = None; final_video_clip_obj = None
 
         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', '')
@@ -191,12 +264,12 @@ class VisualEngine:
                 if pil_img.mode != 'RGB': pil_img = pil_img.convert('RGB')
                 img_copy = pil_img.copy()
                 img_copy.thumbnail(self.video_frame_size, Image.Resampling.LANCZOS)
-                canvas = Image.new('RGB', self.video_frame_size, (random.randint(0,15), random.randint(0,15), random.randint(0,15))) 
+                canvas = Image.new('RGB', self.video_frame_size, (random.randint(0,10), random.randint(0,10), random.randint(0,10))) 
                 xo, yo = (self.video_frame_size[0]-img_copy.width)//2, (self.video_frame_size[1]-img_copy.height)//2
                 canvas.paste(img_copy, (xo,yo))
                 frame_np = np.array(canvas)
                 img_clip = ImageClip(frame_np).set_duration(duration_per_image)
-                end_scale = random.uniform(1.05, 1.12) # Ken Burns zoom
+                end_scale = random.uniform(1.05, 1.12) 
                 img_clip = img_clip.fx(vfx.resize, lambda t: 1 + (end_scale - 1) * (t / duration_per_image))
                 img_clip = img_clip.set_position('center')
                 if key_action:
@@ -208,9 +281,9 @@ class VisualEngine:
                     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 clip for {img_path}: {e}.")
+            except Exception as e: print(f"Error creating video clip for {img_path}: {e}.")
         
-        if not processed_clips: print("No clips for video."); return None
+        if not processed_clips: print("No clips processed for video."); return None
         transition = 0.8 
         final_video_clip_obj = concatenate_videoclips(processed_clips, padding=-transition, method="compose")
         if final_video_clip_obj.duration > transition*2: 
@@ -219,22 +292,26 @@ class VisualEngine:
         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:
+                current_video_duration = final_video_clip_obj.duration
+                # If narration is shorter, trim video. If narration is longer, audio will be cut by video duration.
+                if narration_audio_clip.duration < current_video_duration:
                     final_video_clip_obj = final_video_clip_obj.subclip(0, narration_audio_clip.duration)
-                print("Overall narration added.")
-            except Exception as e: print(f"Error adding narration: {e}.")
+                
+                final_video_clip_obj = final_video_clip_obj.set_audio(narration_audio_clip)
+                print("Overall narration added to video.")
+            except Exception as e: print(f"Error adding overall narration: {e}.")
         
         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', # 'medium' or 'slow'
+            print(f"Writing final video to: {output_path}")
+            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', bitrate="5000k")
-            print(f"Video created: {output_path}"); return output_path
-        except Exception as e: print(f"Error writing video: {e}"); return None
+                                        remove_temp=True, threads=os.cpu_count() or 2, logger='bar', bitrate="5000k") # Consider 'medium' preset
+            print(f"Video successfully created: {output_path}"); return output_path
+        except Exception as e: print(f"Error writing video file: {e}"); return None
         finally:
-            for c in processed_clips: 
-                if hasattr(c, 'close'): c.close()
+            for c_item in processed_clips: 
+                if hasattr(c_item, 'close'): c_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()