mirror of
https://github.com/linyqh/NarratoAI.git
synced 2025-12-12 11:22:51 +00:00
496 lines
19 KiB
Python
496 lines
19 KiB
Python
import math
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import json
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import os.path
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import re
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import traceback
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from os import path
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from loguru import logger
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from app.config import config
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from app.models import const
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from app.models.schema import VideoConcatMode, VideoParams, VideoClipParams
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from app.services import llm, material, subtitle, video, voice, audio_merger
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from app.services import state as sm
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from app.utils import utils
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def generate_script(task_id, params):
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logger.info("\n\n## generating video script")
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video_script = params.video_script.strip()
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if not video_script:
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video_script = llm.generate_script(
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video_subject=params.video_subject,
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language=params.video_language,
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paragraph_number=params.paragraph_number,
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)
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else:
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logger.debug(f"video script: \n{video_script}")
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if not video_script:
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sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
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logger.error("failed to generate video script.")
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return None
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return video_script
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def generate_terms(task_id, params, video_script):
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logger.info("\n\n## generating video terms")
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video_terms = params.video_terms
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if not video_terms:
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video_terms = llm.generate_terms(
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video_subject=params.video_subject, video_script=video_script, amount=5
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)
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else:
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if isinstance(video_terms, str):
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video_terms = [term.strip() for term in re.split(r"[,，]", video_terms)]
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elif isinstance(video_terms, list):
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video_terms = [term.strip() for term in video_terms]
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else:
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raise ValueError("video_terms must be a string or a list of strings.")
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logger.debug(f"video terms: {utils.to_json(video_terms)}")
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if not video_terms:
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sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
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logger.error("failed to generate video terms.")
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return None
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return video_terms
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def save_script_data(task_id, video_script, video_terms, params):
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script_file = path.join(utils.task_dir(task_id), "script.json")
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script_data = {
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"script": video_script,
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"search_terms": video_terms,
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"params": params,
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}
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with open(script_file, "w", encoding="utf-8") as f:
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f.write(utils.to_json(script_data))
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def generate_audio(task_id, params, video_script):
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logger.info("\n\n## generating audio")
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audio_file = path.join(utils.task_dir(task_id), "audio.mp3")
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sub_maker = voice.tts(
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text=video_script,
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voice_name=voice.parse_voice_name(params.voice_name),
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voice_rate=params.voice_rate,
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voice_file=audio_file,
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)
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if sub_maker is None:
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sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
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logger.error(
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"""failed to generate audio:
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1. check if the language of the voice matches the language of the video script.
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2. check if the network is available. If you are in China, it is recommended to use a VPN and enable the global traffic mode.
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""".strip()
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)
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return None, None, None
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audio_duration = math.ceil(voice.get_audio_duration(sub_maker))
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return audio_file, audio_duration, sub_maker
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def generate_subtitle(task_id, params, video_script, sub_maker, audio_file):
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if not params.subtitle_enabled:
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return ""
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subtitle_path = path.join(utils.task_dir(task_id), "subtitle111.srt")
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subtitle_provider = config.app.get("subtitle_provider", "").strip().lower()
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logger.info(f"\n\n## generating subtitle, provider: {subtitle_provider}")
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subtitle_fallback = False
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if subtitle_provider == "edge":
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voice.create_subtitle(
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text=video_script, sub_maker=sub_maker, subtitle_file=subtitle_path
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)
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if not os.path.exists(subtitle_path):
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subtitle_fallback = True
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logger.warning("subtitle file not found, fallback to whisper")
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if subtitle_provider == "whisper" or subtitle_fallback:
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subtitle.create(audio_file=audio_file, subtitle_file=subtitle_path)
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logger.info("\n\n## correcting subtitle")
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subtitle.correct(subtitle_file=subtitle_path, video_script=video_script)
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subtitle_lines = subtitle.file_to_subtitles(subtitle_path)
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if not subtitle_lines:
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logger.warning(f"subtitle file is invalid: {subtitle_path}")
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return ""
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return subtitle_path
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def get_video_materials(task_id, params, video_terms, audio_duration):
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if params.video_source == "local":
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logger.info("\n\n## preprocess local materials")
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materials = video.preprocess_video(
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materials=params.video_materials, clip_duration=params.video_clip_duration
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)
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if not materials:
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sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
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logger.error(
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"no valid materials found, please check the materials and try again."
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)
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return None
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return [material_info.url for material_info in materials]
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else:
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logger.info(f"\n\n## downloading videos from {params.video_source}")
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downloaded_videos = material.download_videos(
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task_id=task_id,
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search_terms=video_terms,
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source=params.video_source,
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video_aspect=params.video_aspect,
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video_contact_mode=params.video_concat_mode,
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audio_duration=audio_duration * params.video_count,
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max_clip_duration=params.video_clip_duration,
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)
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if not downloaded_videos:
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sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
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logger.error(
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"failed to download videos, maybe the network is not available. if you are in China, please use a VPN."
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)
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return None
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return downloaded_videos
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def generate_final_videos(
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task_id, params, downloaded_videos, audio_file, subtitle_path
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):
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final_video_paths = []
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combined_video_paths = []
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video_concat_mode = (
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params.video_concat_mode if params.video_count == 1 else VideoConcatMode.random
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)
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_progress = 50
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for i in range(params.video_count):
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index = i + 1
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combined_video_path = path.join(
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utils.task_dir(task_id), f"combined-{index}.mp4"
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)
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logger.info(f"\n\n## combining video: {index} => {combined_video_path}")
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video.combine_videos(
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combined_video_path=combined_video_path,
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video_paths=downloaded_videos,
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audio_file=audio_file,
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video_aspect=params.video_aspect,
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video_concat_mode=video_concat_mode,
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max_clip_duration=params.video_clip_duration,
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threads=params.n_threads,
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)
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_progress += 50 / params.video_count / 2
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sm.state.update_task(task_id, progress=_progress)
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final_video_path = path.join(utils.task_dir(task_id), f"final-{index}.mp4")
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logger.info(f"\n\n## generating video: {index} => {final_video_path}")
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video.generate_video(
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video_path=combined_video_path,
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audio_path=audio_file,
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subtitle_path=subtitle_path,
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output_file=final_video_path,
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params=params,
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)
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_progress += 50 / params.video_count / 2
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sm.state.update_task(task_id, progress=_progress)
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final_video_paths.append(final_video_path)
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combined_video_paths.append(combined_video_path)
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return final_video_paths, combined_video_paths
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def start(task_id, params: VideoParams, stop_at: str = "video"):
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logger.info(f"start task: {task_id}, stop_at: {stop_at}")
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sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=5)
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if type(params.video_concat_mode) is str:
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params.video_concat_mode = VideoConcatMode(params.video_concat_mode)
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# 1. Generate script
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video_script = generate_script(task_id, params)
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if not video_script:
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sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
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return
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sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=10)
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if stop_at == "script":
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sm.state.update_task(
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task_id, state=const.TASK_STATE_COMPLETE, progress=100, script=video_script
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)
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return {"script": video_script}
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# 2. Generate terms
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video_terms = ""
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if params.video_source != "local":
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video_terms = generate_terms(task_id, params, video_script)
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if not video_terms:
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sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
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return
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save_script_data(task_id, video_script, video_terms, params)
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if stop_at == "terms":
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sm.state.update_task(
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task_id, state=const.TASK_STATE_COMPLETE, progress=100, terms=video_terms
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)
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return {"script": video_script, "terms": video_terms}
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sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=20)
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# 3. Generate audio
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audio_file, audio_duration, sub_maker = generate_audio(task_id, params, video_script)
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if not audio_file:
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sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
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return
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sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=30)
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if stop_at == "audio":
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sm.state.update_task(
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task_id,
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state=const.TASK_STATE_COMPLETE,
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progress=100,
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audio_file=audio_file,
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)
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return {"audio_file": audio_file, "audio_duration": audio_duration}
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# 4. Generate subtitle
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subtitle_path = generate_subtitle(task_id, params, video_script, sub_maker, audio_file)
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if stop_at == "subtitle":
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sm.state.update_task(
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task_id,
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state=const.TASK_STATE_COMPLETE,
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progress=100,
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subtitle_path=subtitle_path,
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)
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return {"subtitle_path": subtitle_path}
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sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=40)
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# 5. Get video materials
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downloaded_videos = get_video_materials(
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task_id, params, video_terms, audio_duration
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)
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if not downloaded_videos:
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sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
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return
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if stop_at == "materials":
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sm.state.update_task(
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task_id,
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state=const.TASK_STATE_COMPLETE,
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progress=100,
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materials=downloaded_videos,
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)
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return {"materials": downloaded_videos}
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sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=50)
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# 6. Generate final videos
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final_video_paths, combined_video_paths = generate_final_videos(
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task_id, params, downloaded_videos, audio_file, subtitle_path
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)
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if not final_video_paths:
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sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
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return
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logger.success(
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f"task {task_id} finished, generated {len(final_video_paths)} videos."
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)
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kwargs = {
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"videos": final_video_paths,
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"combined_videos": combined_video_paths,
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"script": video_script,
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"terms": video_terms,
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"audio_file": audio_file,
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"audio_duration": audio_duration,
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"subtitle_path": subtitle_path,
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"materials": downloaded_videos,
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}
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sm.state.update_task(
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task_id, state=const.TASK_STATE_COMPLETE, progress=100, **kwargs
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)
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return kwargs
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def start_subclip(task_id: str, params: VideoClipParams, subclip_path_videos: list):
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"""
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后台任务（自动剪辑视频进行剪辑）
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task_id: 任务ID
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params: 剪辑参数
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subclip_path_videos: 视频文件路径
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"""
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logger.info(f"\n\n## 开始任务: {task_id}")
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sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=5)
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# tts 角色名称
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voice_name = voice.parse_voice_name(params.voice_name)
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logger.info("\n\n## 1. 加载视频脚本")
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video_script_path = path.join(params.video_clip_json_path)
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# video_script_path = video_clip_json_path
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# 判断json文件是否存在
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if path.exists(video_script_path):
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try:
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with open(video_script_path, "r", encoding="utf-8") as f:
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list_script = json.load(f)
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video_list = [i['narration'] for i in list_script]
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video_ost = [i['OST'] for i in list_script]
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time_list = [i['timestamp'] for i in list_script]
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video_script = " ".join(video_list)
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logger.debug(f"解说完整脚本: \n{video_script}")
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logger.debug(f"解说 OST 列表: \n{video_ost}")
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logger.debug(f"解说时间戳列表: \n{time_list}")
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# 获取视频总时长(单位 s)
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total_duration = list_script[-1]['new_timestamp']
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total_duration = int(total_duration.split("-")[1].split(":")[0]) * 60 + int(
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total_duration.split("-")[1].split(":")[1])
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except Exception as e:
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logger.error(f"无法读取视频json脚本，请检查配置是否正确。{e}")
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raise ValueError("无法读取视频json脚本，请检查配置是否正确")
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else:
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logger.error(f"video_script_path: {video_script_path} \n\n", traceback.format_exc())
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raise ValueError("解说脚本不存在！请检查配置是否正确。")
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logger.info("\n\n## 2. 生成音频列表")
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audio_files, sub_maker_list = voice.tts_multiple(
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task_id=task_id,
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list_script=list_script,
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voice_name=voice_name,
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voice_rate=params.voice_rate,
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voice_pitch=params.voice_pitch,
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force_regenerate=True
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)
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if audio_files is None:
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sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
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logger.error(
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"TTS转换音频失败, 可能是网络不可用! 如果您在中国, 请使用VPN.")
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return
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logger.info(f"合并音频:\n\n {audio_files}")
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audio_file = audio_merger.merge_audio_files(task_id, audio_files, total_duration, list_script)
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sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=30)
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subtitle_path = ""
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if params.subtitle_enabled:
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subtitle_path = path.join(utils.task_dir(task_id), f"subtitle.srt")
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subtitle_provider = config.app.get("subtitle_provider", "").strip().lower()
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logger.info(f"\n\n## 3. 生成字幕、提供程序是: {subtitle_provider}")
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# 使用 faster-whisper-large-v2 模型生成字幕
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subtitle.create(audio_file=audio_file, subtitle_file=subtitle_path)
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subtitle_lines = subtitle.file_to_subtitles(subtitle_path)
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if not subtitle_lines:
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logger.warning(f"字幕文件无效: {subtitle_path}")
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subtitle_path = ""
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sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=40)
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logger.info("\n\n## 4. 裁剪视频")
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subclip_videos = [x for x in subclip_path_videos.values()]
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logger.debug(f"\n\n## 裁剪后的视频文件列表: \n{subclip_videos}")
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if not subclip_videos:
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sm.state.update_task(task_id, state=const.TASK_STATE_FAILED)
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logger.error(
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"裁剪视频失败，可能是 ImageMagick 不可用")
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return
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sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=50)
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final_video_paths = []
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combined_video_paths = []
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_progress = 50
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index = 1
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combined_video_path = path.join(utils.task_dir(task_id), f"combined.mp4")
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logger.info(f"\n\n## 5. 合并视频: => {combined_video_path}")
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video.combine_clip_videos(
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combined_video_path=combined_video_path,
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video_paths=subclip_videos,
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video_ost_list=video_ost,
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list_script=list_script,
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video_aspect=params.video_aspect,
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threads=params.n_threads # 多线程
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)
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_progress += 50 / 2
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sm.state.update_task(task_id, progress=_progress)
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final_video_path = path.join(utils.task_dir(task_id), f"final-{index}.mp4")
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logger.info(f"\n\n## 6. 最后一步: {index} => {final_video_path}")
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# 把所有东西合到在一起
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video.generate_video_v2(
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video_path=combined_video_path,
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audio_path=audio_file,
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subtitle_path=subtitle_path,
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output_file=final_video_path,
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params=params,
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)
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_progress += 50 / 2
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sm.state.update_task(task_id, progress=_progress)
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final_video_paths.append(final_video_path)
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combined_video_paths.append(combined_video_path)
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logger.success(f"任务 {task_id} 已完成, 生成 {len(final_video_paths)} 个视频.")
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kwargs = {
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"videos": final_video_paths,
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"combined_videos": combined_video_paths
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}
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sm.state.update_task(task_id, state=const.TASK_STATE_COMPLETE, progress=100, **kwargs)
|
||
return kwargs
|
||
|
||
|
||
if __name__ == "__main__":
|
||
# task_id = "test123"
|
||
# subclip_path_videos = {'00:41-01:58': 'E:\\projects\\NarratoAI\\storage\\cache_videos/vid-00_41-01_58.mp4',
|
||
# '00:06-00:15': 'E:\\projects\\NarratoAI\\storage\\cache_videos/vid-00_06-00_15.mp4',
|
||
# '01:10-01:17': 'E:\\projects\\NarratoAI\\storage\\cache_videos/vid-01_10-01_17.mp4',
|
||
# '00:47-01:03': 'E:\\projects\\NarratoAI\\storage\\cache_videos/vid-00_47-01_03.mp4',
|
||
# '01:03-01:10': 'E:\\projects\\NarratoAI\\storage\\cache_videos/vid-01_03-01_10.mp4',
|
||
# '02:40-03:08': 'E:\\projects\\NarratoAI\\storage\\cache_videos/vid-02_40-03_08.mp4',
|
||
# '03:02-03:20': 'E:\\projects\\NarratoAI\\storage\\cache_videos/vid-03_02-03_20.mp4',
|
||
# '03:18-03:20': 'E:\\projects\\NarratoAI\\storage\\cache_videos/vid-03_18-03_20.mp4'}
|
||
#
|
||
# params = VideoClipParams(
|
||
# video_clip_json_path="E:\\projects\\NarratoAI\\resource/scripts/test003.json",
|
||
# video_origin_path="E:\\projects\\NarratoAI\\resource/videos/1.mp4",
|
||
# )
|
||
# start_subclip(task_id, params, subclip_path_videos=subclip_path_videos)
|
||
|
||
task_id = "test456"
|
||
subclip_path_videos = {'01:10-01:17': './storage/cache_videos/vid-01_10-01_17.mp4',
|
||
'01:58-02:04': './storage/cache_videos/vid-01_58-02_04.mp4',
|
||
'02:25-02:31': './storage/cache_videos/vid-02_25-02_31.mp4',
|
||
'01:28-01:33': './storage/cache_videos/vid-01_28-01_33.mp4',
|
||
'03:14-03:18': './storage/cache_videos/vid-03_14-03_18.mp4',
|
||
'00:24-00:28': './storage/cache_videos/vid-00_24-00_28.mp4',
|
||
'03:02-03:08': './storage/cache_videos/vid-03_02-03_08.mp4',
|
||
'00:41-00:44': './storage/cache_videos/vid-00_41-00_44.mp4',
|
||
'02:12-02:25': './storage/cache_videos/vid-02_12-02_25.mp4'}
|
||
|
||
params = VideoClipParams(
|
||
video_clip_json_path="/Users/apple/Desktop/home/NarratoAI/resource/scripts/test004.json",
|
||
video_origin_path="/Users/apple/Desktop/home/NarratoAI/resource/videos/1.mp4",
|
||
)
|
||
start_subclip(task_id, params, subclip_path_videos=subclip_path_videos)
|