You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
RedditVideoMakerBot/video_creation/final_video.py

432 lines
15 KiB

import multiprocessing
import os
import re
from os.path import exists # Needs to be imported specifically
from typing import Final
from typing import Tuple, Any, Dict
import ffmpeg
import translators
from PIL import Image
from rich.console import Console
from rich.progress import track
from utils.cleanup import cleanup
from utils.console import print_step, print_substep
from utils.thumbnail import create_thumbnail
from utils.videos import save_data
from utils import settings
import tempfile
import threading
import time
console = Console()
class ProgressFfmpeg(threading.Thread):
def __init__(self, vid_duration_seconds, progress_update_callback):
threading.Thread.__init__(self, name="ProgressFfmpeg")
self.stop_event = threading.Event()
self.output_file = tempfile.NamedTemporaryFile(mode="w+", delete=False)
self.vid_duration_seconds = vid_duration_seconds
self.progress_update_callback = progress_update_callback
def run(self):
while not self.stop_event.is_set():
latest_progress = self.get_latest_ms_progress()
if latest_progress is not None:
completed_percent = latest_progress / self.vid_duration_seconds
self.progress_update_callback(completed_percent)
time.sleep(1)
def get_latest_ms_progress(self):
lines = self.output_file.readlines()
if lines:
for line in lines:
if "out_time_ms" in line:
out_time_ms = line.split("=")[1]
return int(out_time_ms) / 1000000.0
return None
def stop(self):
self.stop_event.set()
def __enter__(self):
self.start()
return self
def __exit__(self, *args, **kwargs):
self.stop()
def name_normalize(name: str) -> str:
name = re.sub(r'[?\\"%*:|<>]', "", name)
name = re.sub(r"( [w,W]\s?\/\s?[o,O,0])", r" without", name)
name = re.sub(r"( [w,W]\s?\/)", r" with", name)
name = re.sub(r"(\d+)\s?\/\s?(\d+)", r"\1 of \2", name)
name = re.sub(r"(\w+)\s?\/\s?(\w+)", r"\1 or \2", name)
name = re.sub(r"\/", r"", name)
lang = settings.config["reddit"]["thread"]["post_lang"]
if lang:
print_substep("Translating filename...")
translated_name = translators.google(name, to_language=lang)
return translated_name
else:
return name
def prepare_background(reddit_id: str, W: int, H: int) -> str:
output_path = f"assets/temp/{reddit_id}/background_noaudio.mp4"
output = (
ffmpeg.input(f"assets/temp/{reddit_id}/background.mp4")
.filter("crop", f"ih*({W}/{H})", "ih")
.output(
output_path,
an=None,
**{
"c:v": "h264",
"b:v": "20M",
"b:a": "192k",
"threads": multiprocessing.cpu_count(),
},
)
.overwrite_output()
)
try:
output.run(quiet=True)
except ffmpeg.Error as e:
print(e.stderr.decode("utf8"))
exit(1)
return output_path
def merge_background_audio(audio: ffmpeg, reddit_id: str):
"""Gather an audio and merge with assets/backgrounds/background.mp3
Args:
audio (ffmpeg): The TTS final audio but without background.
reddit_id (str): The ID of subreddit
"""
background_audio_volume = settings.config["settings"]["background"][
"background_audio_volume"
]
if background_audio_volume == 0:
return audio # Return the original audio
else:
# sets volume to config
bg_audio = ffmpeg.input(f"assets/temp/{reddit_id}/background.mp3").filter(
"volume",
background_audio_volume,
)
# Merges audio and background_audio
merged_audio = ffmpeg.filter([audio, bg_audio], "amix", duration="longest")
return merged_audio # Return merged audio
def make_final_video(
number_of_clips: int,
length: int,
reddit_obj: dict,
background_config: Dict[str, Tuple],
):
"""Gathers audio clips, gathers all screenshots, stitches them together and saves the final video to assets/temp
Args:
number_of_clips (int): Index to end at when going through the screenshots'
length (int): Length of the video
reddit_obj (dict): The reddit object that contains the posts to read.
background_config (Tuple[str, str, str, Any]): The background config to use.
"""
# settings values
W: Final[int] = int(settings.config["settings"]["resolution_w"])
H: Final[int] = int(settings.config["settings"]["resolution_h"])
opacity = settings.config["settings"]["opacity"]
reddit_id = re.sub(r"[^\w\s-]", "", reddit_obj["thread_id"])
allowOnlyTTSFolder: bool = (
settings.config["settings"]["background"]["enable_extra_audio"]
and settings.config["settings"]["background"]["background_audio_volume"] != 0
)
print_step("Creating the final video 🎥")
background_clip = ffmpeg.input(prepare_background(reddit_id, W=W, H=H))
# Gather all audio clips
audio_clips = list()
if number_of_clips == 0 and settings.config["settings"]["storymode"] == "false":
print(
"No audio clips to gather. Please use a different TTS or post."
) # This is to fix the TypeError: unsupported operand type(s) for +: 'int' and 'NoneType'
exit()
if settings.config["settings"]["storymode"]:
if settings.config["settings"]["storymodemethod"] == 0:
audio_clips = [ffmpeg.input(f"assets/temp/{reddit_id}/mp3/title.mp3")]
audio_clips.insert(
1, ffmpeg.input(f"assets/temp/{reddit_id}/mp3/postaudio.mp3")
)
elif settings.config["settings"]["storymodemethod"] == 1:
audio_clips = [
ffmpeg.input(f"assets/temp/{reddit_id}/mp3/postaudio-{i}.mp3")
for i in track(
range(number_of_clips + 1), "Collecting the audio files..."
)
]
audio_clips.insert(
0, ffmpeg.input(f"assets/temp/{reddit_id}/mp3/title.mp3")
)
else:
audio_clips = [
ffmpeg.input(f"assets/temp/{reddit_id}/mp3/{i}.mp3")
for i in range(number_of_clips)
]
audio_clips.insert(0, ffmpeg.input(f"assets/temp/{reddit_id}/mp3/title.mp3"))
audio_clips_durations = [
float(
ffmpeg.probe(f"assets/temp/{reddit_id}/mp3/{i}.mp3")["format"][
"duration"
]
)
for i in range(number_of_clips)
]
audio_clips_durations.insert(
0,
float(
ffmpeg.probe(f"assets/temp/{reddit_id}/mp3/title.mp3")["format"][
"duration"
]
),
)
audio_concat = ffmpeg.concat(*audio_clips, a=1, v=0)
ffmpeg.output(
audio_concat, f"assets/temp/{reddit_id}/audio.mp3", **{"b:a": "192k"}
).overwrite_output().run(quiet=True)
console.log(f"[bold green] Video Will Be: {length} Seconds Long")
screenshot_width = int((W * 45) // 100)
audio = ffmpeg.input(f"assets/temp/{reddit_id}/audio.mp3")
final_audio = merge_background_audio(audio, reddit_id)
image_clips = list()
image_clips.insert(
0,
ffmpeg.input(f"assets/temp/{reddit_id}/png/title.png")["v"].filter(
"scale", screenshot_width, -1
),
)
current_time = 0
if settings.config["settings"]["storymode"]:
audio_clips_durations = [
float(
ffmpeg.probe(f"assets/temp/{reddit_id}/mp3/postaudio-{i}.mp3")[
"format"
]["duration"]
)
for i in range(number_of_clips)
]
audio_clips_durations.insert(
0,
float(
ffmpeg.probe(f"assets/temp/{reddit_id}/mp3/title.mp3")["format"][
"duration"
]
),
)
if settings.config["settings"]["storymodemethod"] == 0:
image_clips.insert(
1,
ffmpeg.input(f"assets/temp/{reddit_id}/png/story_content.png").filter(
"scale", screenshot_width, -1
),
)
background_clip = background_clip.overlay(
image_clips[1],
enable=f"between(t,{current_time},{current_time + audio_clips_durations[1]})",
x="(main_w-overlay_w)/2",
y="(main_h-overlay_h)/2",
)
current_time += audio_clips_durations[1]
elif settings.config["settings"]["storymodemethod"] == 1:
for i in track(
range(0, number_of_clips + 1), "Collecting the image files..."
):
image_clips.append(
ffmpeg.input(f"assets/temp/{reddit_id}/png/img{i}.png")["v"].filter(
"scale", screenshot_width, -1
)
)
background_clip = background_clip.overlay(
image_clips[i],
enable=f"between(t,{current_time},{current_time + audio_clips_durations[i]})",
x="(main_w-overlay_w)/2",
y="(main_h-overlay_h)/2",
)
current_time += audio_clips_durations[i]
else:
for i in range(0, number_of_clips + 1):
image_clips.append(
ffmpeg.input(f"assets/temp/{reddit_id}/png/comment_{i}.png")[
"v"
].filter("scale", screenshot_width, -1)
)
image_overlay = image_clips[i].filter("colorchannelmixer", aa=opacity)
background_clip = background_clip.overlay(
image_overlay,
enable=f"between(t,{current_time},{current_time + audio_clips_durations[i]})",
x="(main_w-overlay_w)/2",
y="(main_h-overlay_h)/2",
)
current_time += audio_clips_durations[i]
title = re.sub(r"[^\w\s-]", "", reddit_obj["thread_title"])
idx = re.sub(r"[^\w\s-]", "", reddit_obj["thread_id"])
title_thumb = reddit_obj["thread_title"]
filename = f"{name_normalize(title)[:251]}"
subreddit = settings.config["reddit"]["thread"]["subreddit"]
if not exists(f"./results/{subreddit}"):
print_substep(
"The 'results' folder could not be found so it was automatically created."
)
os.makedirs(f"./results/{subreddit}")
if not exists(f"./results/{subreddit}/OnlyTTS") and allowOnlyTTSFolder:
print_substep(
"The 'OnlyTTS' folder could not be found so it was automatically created."
)
os.makedirs(f"./results/{subreddit}/OnlyTTS")
# create a thumbnail for the video
settingsbackground = settings.config["settings"]["background"]
if settingsbackground["background_thumbnail"]:
if not exists(f"./results/{subreddit}/thumbnails"):
print_substep(
"The 'results/thumbnails' folder could not be found so it was automatically created."
)
os.makedirs(f"./results/{subreddit}/thumbnails")
# get the first file with the .png extension from assets/backgrounds and use it as a background for the thumbnail
first_image = next(
(
file
for file in os.listdir("assets/backgrounds")
if file.endswith(".png")
),
None,
)
if first_image is None:
print_substep("No png files found in assets/backgrounds", "red")
else:
font_family = settingsbackground["background_thumbnail_font_family"]
font_size = settingsbackground["background_thumbnail_font_size"]
font_color = settingsbackground["background_thumbnail_font_color"]
thumbnail = Image.open(f"assets/backgrounds/{first_image}")
width, height = thumbnail.size
thumbnailSave = create_thumbnail(
thumbnail,
font_family,
font_size,
font_color,
width,
height,
title_thumb,
)
thumbnailSave.save(f"./assets/temp/{reddit_id}/thumbnail.png")
print_substep(
f"Thumbnail - Building Thumbnail in assets/temp/{reddit_id}/thumbnail.png"
)
text = f"Background by {background_config['video'][2]}"
background_clip = ffmpeg.drawtext(
background_clip,
text=text,
x=f"(w-text_w)",
y=f"(h-text_h)",
fontsize=5,
fontcolor="White",
fontfile=os.path.join("fonts", "Roboto-Regular.ttf"),
)
background_clip = background_clip.filter("scale", W, H)
print_step("Rendering the video 🎥")
from tqdm import tqdm
pbar = tqdm(total=100, desc="Progress: ", bar_format="{l_bar}{bar}", unit=" %")
def on_update_example(progress) -> None:
status = round(progress * 100, 2)
old_percentage = pbar.n
pbar.update(status - old_percentage)
defaultPath = f"results/{subreddit}"
with ProgressFfmpeg(length, on_update_example) as progress:
path = defaultPath + f"/{filename}"
path = (
path[:251] + ".mp4"
) # Prevent a error by limiting the path length, do not change this.
ffmpeg.output(
background_clip,
final_audio,
path,
f="mp4",
**{
"c:v": "h264",
"b:v": "20M",
"b:a": "192k",
"threads": multiprocessing.cpu_count(),
},
).overwrite_output().global_args("-progress", progress.output_file.name).run(
quiet=True,
overwrite_output=True,
capture_stdout=False,
capture_stderr=False,
)
old_percentage = pbar.n
pbar.update(100 - old_percentage)
if allowOnlyTTSFolder:
path = defaultPath + f"/OnlyTTS/{filename}"
path = (
path[:251] + ".mp4"
) # Prevent a error by limiting the path length, do not change this.
print_step("Rendering the Only TTS Video 🎥")
with ProgressFfmpeg(length, on_update_example) as progress:
try:
ffmpeg.output(
background_clip,
audio,
path,
f="mp4",
**{
"c:v": "h264",
"b:v": "20M",
"b:a": "192k",
"threads": multiprocessing.cpu_count(),
},
).overwrite_output().global_args("-progress", progress.output_file.name).run(
quiet=True,
overwrite_output=True,
capture_stdout=False,
capture_stderr=False,
)
except ffmpeg.Error as e:
print(e.stderr.decode("utf8"))
exit(1)
old_percentage = pbar.n
pbar.update(100 - old_percentage)
pbar.close()
save_data(subreddit, filename + ".mp4", title, idx, background_config["video"][2])
print_step("Removing temporary files 🗑")
cleanups = cleanup(reddit_id)
print_substep(f"Removed {cleanups} temporary files 🗑")
print_step("Done! 🎉 The video is in the results folder 📁")