a2e5214f03
铸渊 ICE-GL-ZY001 LL-172-20260707 冰朔委托: 新建第 5 子仓, 给苍耳(人类主控) + 鉴影(人格体) 专用 原 guanghulab/video-ai-system/ 东西太多(225 文件) · 找不到 · 乱 迁移: ⊢ 16 个核心 .hdlp (VA-GATE / VA-LIGHTHOUSE / VA-BROADCAST / VA-SYSTEM-STATUS 等) ⊢ 17 个子目录 (agents/engines/protocols/tasks/tools/assets/knowledge/memory/docs/config/brain/director-brain/experience/feedback/issues/plans/reference-analysis) 排除: ⊢ outputs/ (视频产物) ⊢ test-input/ test-output/ (测试) ⊢ data/ (临时数据) ⊢ preview-001/002 (旧产片) ⊢ 旧分镜/旧提示词/旧导演编码 后续: ⊢ 老仓 guanghulab/video-ai-system/ 改写为已迁出占位 ⊢ 苍耳+鉴影 写新东西进本仓 ⊢ GLOBAL-SEARCH 加 cang-ying 仓库 铸渊 ICE-GL-ZY001 · 2026-07-07 D167 冰朔 ICE-GL∞ 主权
648 lines
24 KiB
Python
648 lines
24 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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EP01-SHOT03-PRODUCTION-CLI
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一键跑苏白站牌匾下说台词：生成底片、合成牌匾、配音、口型、字幕、混音、质检。
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功能:
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1. 读取 E1-SHOT03 配置
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2. 生成底片 (MULTI-REFERENCE-VIDEO-ADAPTER)
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3. 合成牌匾 (平面追踪 + 贴图)
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4. 配音 (VOICE-EMOTION-COMPILER)
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5. 口型 (LIPSYNC-ADAPTER)
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6. 字幕 (subtitle-renderer.py)
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7. 混音 (AUDIO-MIXER)
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8. 质检 (SHOT-QC-AUTOMATION)
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9. 输出生产报告
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用法:
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python ep01_shot03_production.py --run
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python ep01_shot03_production.py --dry-run # 只打印计划，不执行
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python ep01_shot03_production.py --resume task_id.json # 从失败点恢复
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"""
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import os
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import sys
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import json
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import argparse
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import subprocess
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from pathlib import Path
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from datetime import datetime
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import time
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PROJECT_ROOT = Path(__file__).parent.parent
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sys.path.insert(0, str(PROJECT_ROOT / "engines"))
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DEFAULT_PYTHON = "/Users/bingshuolingdianyuanhe/.workbuddy/binaries/python/envs/default/bin/python3"
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def resolve_python_bin():
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"""Pick the Python that has the video AI dependencies installed."""
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candidates = [
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os.environ.get("PYTHON_BIN"),
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os.environ.get("PYTHON"),
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DEFAULT_PYTHON,
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sys.executable,
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"python3",
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]
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for candidate in candidates:
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if not candidate:
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continue
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candidate_path = Path(candidate)
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if candidate_path.is_absolute() and not candidate_path.exists():
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continue
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return str(candidate)
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return sys.executable
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class EP01Shot03ProductionCLI:
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"""E1-SHOT03 一键生产 CLI"""
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def __init__(self, dry_run=False):
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self.dry_run = dry_run
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self.project = "zai-fu-fei-xiu-xian/ep01"
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self.shot_id = "E1-SHOT03"
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self.start_time = datetime.now()
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# 路径配置
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self.config_dir = PROJECT_ROOT / "plans" / "script-to-screen"
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self.output_dir = PROJECT_ROOT / "outputs" / "ep01" / "shot03"
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self.assets_dir = PROJECT_ROOT / "assets"
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self.python_bin = resolve_python_bin()
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# 确保输出目录存在
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self.output_dir.mkdir(parents=True, exist_ok=True)
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# 加载配置
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self.config = self._load_config()
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# 生产状态
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self.state = {
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"shot_id": self.shot_id,
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"steps": {},
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"start_time": self.start_time.isoformat(),
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"end_time": None,
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"status": "running", # running / success / failed
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"current_step": None,
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"error": None
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}
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print(f"🎬 E1-SHOT03 生产 CLI 启动")
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print(f" 项目: {self.project}")
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print(f" 镜头: {self.shot_id}")
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print(f" 输出: {self.output_dir}")
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print(f" Dry Run: {self.dry_run}")
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print(f" Python: {self.python_bin}")
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def _load_config(self):
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"""加载 E1-SHOT03 配置，从剧本原文+分镜文件读取真实台词"""
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script_file = PROJECT_ROOT.parent / "动态漫：《付费才能修仙？我的宗门全免费》.md"
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mapping_file = self.config_dir / "EP01-SHOT01-06-MAPPING.hdlp"
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storyboard_file = PROJECT_ROOT / "data" / "ep01-storyboard.json"
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config = {
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"shot_id": "E1-SHOT03",
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"prompt": "",
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"duration": 3,
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"resolution": "720p",
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"character": "CHAR-003-SuBai",
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"props": ["PROP-TDZ-PLAQUE"],
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"env": "ENV-002-Baizonghui",
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"dialogue": "",
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"emotion": "苏白·大声·自信"
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}
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# 1. 从剧本原文读取真实台词
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if script_file.exists():
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with open(script_file, "r", encoding="utf-8") as f:
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script_text = f.read()
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# 匹配 SHOT03 对应的剧本段落
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import re
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# 找"苏白（大声）："后面的台词
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dialogue_matches = re.findall(r'苏白[（(][^）)]*[）)]\s*[：:]\s*(.+?)(?:\n|$)', script_text)
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if dialogue_matches:
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config["dialogue"] = dialogue_matches[0] # 第一句：未来的天下第一宗！天道宗开门收徒啦！
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print(f" 📖 剧本台词(第1句): {config['dialogue']}")
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# 拼接多句台词
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if len(dialogue_matches) >= 2:
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config["dialogue_all"] = dialogue_matches
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print(f" 📖 全部{len(dialogue_matches)}句: {' | '.join(dialogue_matches[:3])}")
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# 2. 从分镜文件读取镜头信息
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if storyboard_file.exists():
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with open(storyboard_file, "r", encoding="utf-8") as f:
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storyboard = json.load(f)
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for shot in storyboard.get("shots", []):
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if shot.get("shotId") == "E1-SHOT03":
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config["action"] = shot.get("action", "")
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config["camera"] = shot.get("camera", "")
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config["emotion"] = shot.get("emotionMarker", config["emotion"])
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config["duration"] = shot.get("duration", config["duration"])
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config["sourceLine"] = shot.get("sourceLine", "")
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print(f" 🎬 分镜: {config.get('action', '')[:60]}")
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break
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# 3. 从HLDP映射文件读取镜头参数（不覆盖剧本台词）
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SCRIPT_PROTECTED = {"dialogue", "dialogue_all", "action", "camera", "emotion", "sourceLine", "duration"}
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if mapping_file.exists():
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with open(mapping_file, "r", encoding="utf-8") as f:
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mapping_content = f.read()
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if "E1-SHOT03" in mapping_content:
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lines = mapping_content.split("\n")
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in_shot = False
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for line in lines:
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if "E1-SHOT03" in line:
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in_shot = True
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elif in_shot:
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if line.strip().startswith("---"):
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break
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if ":" in line:
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key, _, val = line.partition(":")
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key = key.strip()
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if key not in SCRIPT_PROTECTED:
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config[key] = val.strip()
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# 构造提示词
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if not config.get("prompt"):
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action = config.get("action", "苏白站在天道宗牌匾下自信喊话")
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dialogue = config.get("dialogue", "未来的天下第一宗！")
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config["prompt"] = f"{action}，大声说：{dialogue}"
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print(f" ✅ 配置已加载 (来源: 剧本原文 + 分镜 + 映射)")
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print(f" 台词: {config['dialogue'][:50]}")
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print(f" 情感: {config['emotion']}")
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print(f" 时长: {config['duration']}s")
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def _default_config(self):
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"""默认配置"""
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return {
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"shot_id": "E1-SHOT03",
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"prompt": "苏白站在天道宗牌匾下，自信地说：未来的天下第一宗！",
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"duration": 5,
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"resolution": "720p",
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"character": "CHAR-003-SuBai",
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"props": ["PROP-TDZ-PLAQUE"],
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"env": "ENV-002-Baizonghui",
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"dialogue": "未来的天下第一宗！",
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"emotion": "苏白·大声·自信"
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}
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def run(self):
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"""执行完整生产流程"""
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print(f"\n{'=' * 60}")
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print(f"开始生产 E1-SHOT03")
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print(f"{'=' * 60}")
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steps = [
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("step1_prepare_assets", self.step1_prepare_assets),
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("step2_generate_base_video", self.step2_generate_base_video),
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("step3_synthesize_plaque", self.step3_synthesize_plaque),
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("step4_generate_dialogue_audio", self.step4_generate_dialogue_audio),
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("step5_lipsync", self.step5_lipsync),
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("step6_render_subtitles", self.step6_render_subtitles),
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("step7_mix_audio", self.step7_mix_audio),
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("step8_qc", self.step8_qc),
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("step9_generate_report", self.step9_generate_report),
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]
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for step_name, step_func in steps:
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print(f"\n📍 步骤: {step_name}")
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self.state["current_step"] = step_name
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if self.dry_run:
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print(f" [Dry Run] 跳过: {step_func.__doc__}")
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self.state["steps"][step_name] = {"status": "skipped", "reason": "dry_run"}
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continue
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try:
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step_start = time.time()
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result = step_func()
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step_duration = time.time() - step_start
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self.state["steps"][step_name] = {
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"status": "success",
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"duration": f"{step_duration:.1f}s",
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"result": result
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}
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print(f" ✅ 完成 ({step_duration:.1f}s)")
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except Exception as e:
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print(f" ❌ 失败: {e}")
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self.state["steps"][step_name] = {
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"status": "failed",
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"error": str(e)
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}
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self.state["status"] = "failed"
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self.state["error"] = f"{step_name}: {e}"
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self._save_state()
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return False
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self.state["status"] = "success"
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self.state["end_time"] = datetime.now().isoformat()
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self._save_state()
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print(f"\n{'=' * 60}")
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print(f"✅ 生产完成!")
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print(f" 总耗时: {(datetime.now() - self.start_time).total_seconds():.1f}s")
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print(f" 输出: {self.output_dir}")
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print(f"{'=' * 60}")
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return True
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def step1_prepare_assets(self):
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"""步骤1: 准备资产 (CHAR-HERO-DESIGN-PACKER)"""
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print(f" 准备苏白资产包...")
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# 检查是否有批准资产
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char_dir = self.assets_dir / "characters" / self.config["character"] / "approved"
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if char_dir.exists() and list(char_dir.glob("*.png")):
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print(f" ✓ 已有批准资产: {len(list(char_dir.glob('*.png')))} 个")
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return {"assets_ready": True, "path": str(char_dir)}
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# 没有批准资产，生成
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print(f" 📤 生成资产包...")
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result = subprocess.run(
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[
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self.python_bin, str(PROJECT_ROOT / "engines" / "char-hero-design-packer" / "char-hero-design-packer.py"),
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"--character", self.config["character"],
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"--generate-all"
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],
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capture_output=True,
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text=True,
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timeout=600
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)
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if result.returncode != 0:
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raise Exception(f"资产生成失败: {result.stderr}")
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return {"assets_ready": True, "path": str(char_dir)}
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def step2_generate_base_video(self):
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"""步骤2: 生成底片 (MULTI-REFERENCE-VIDEO-ADAPTER)"""
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print(f" 生成底片...")
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print(f" 提示词: {self.config['prompt'][:60]}...")
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print(f" 时长: {self.config['duration']}s")
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print(f" 分辨率: {self.config['resolution']}")
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# 收集参考图
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reference_images = []
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# 苏白参考图
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char_dir = self.assets_dir / "characters" / self.config["character"] / "approved"
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if char_dir.exists():
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for img in char_dir.glob("*.png"):
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reference_images.append(str(img))
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# 牌匾参考图
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for prop in self.config.get("props", []):
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prop_dir = self.assets_dir / "props" / prop / "approved"
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if prop_dir.exists():
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for img in prop_dir.glob("*.png"):
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reference_images.append(str(img))
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if len(reference_images) == 0:
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print(f" ⚠️ 无参考图，使用单参考图模式")
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# 调用 MULTI-REFERENCE-VIDEO-ADAPTER
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output_path = self.output_dir / "base_video.mp4"
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if len(reference_images) >= 2:
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# 多参考图模式
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cmd = [
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self.python_bin, str(PROJECT_ROOT / "engines" / "multi-reference-video-adapter.py"),
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"--prompt", self.config["prompt"],
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"--references"] + reference_images + [
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"--output", str(output_path),
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"--duration", str(self.config["duration"]),
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"--resolution", self.config["resolution"]
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]
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else:
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# 单参考图模式 (回退)
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cmd = [
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"node", str(PROJECT_ROOT / "engines" / "video-api-adapter.js"),
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"--prompt", self.config["prompt"],
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"--duration", str(self.config["duration"]),
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"--resolution", self.config["resolution"]
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]
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if reference_images:
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cmd.extend(["--reference-image", reference_images[0]])
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print(f" 参考图数量: {len(reference_images)}")
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print(f" 输出: {output_path.name}")
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# TODO: 实际调用 API (这里简化为记录命令)
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# result = subprocess.run(cmd, capture_output=True, text=True, timeout=600)
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return {
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"output_path": str(output_path),
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"reference_count": len(reference_images),
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"note": "TODO: 实际调用 API 生成视频"
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}
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def step3_synthesize_plaque(self):
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"""步骤3: 合成牌匾 (平面追踪 + 贴图)"""
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print(f" 合成牌匾...")
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# 检查是否有 base_video
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base_video = self.output_dir / "base_video.mp4"
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if not base_video.exists():
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print(f" ⚠️ base_video.mp4 不存在，跳过牌匾合成")
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return {"skipped": True, "reason": "base_video not found"}
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# 调用 planar-tracker.py
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print(f" 运行平面追踪...")
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output_with_plaque = self.output_dir / "video_with_plaque.mp4"
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# TODO: 实际调用 planar-tracker.py
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# cmd = [self.python_bin, str(PROJECT_ROOT / "engines" / "planar-tracker.py"), ...]
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return {
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"output_path": str(output_with_plaque),
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"note": "TODO: 实际调用 planar-tracker.py"
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}
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def step4_generate_dialogue_audio(self):
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"""步骤4: 生成对白音频 (VOICE-EMOTION-COMPILER)"""
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print(f" 生成对白音频...")
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print(f" 台词: {self.config['dialogue']}")
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print(f" 情感: {self.config['emotion']}")
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output_path = self.output_dir / "dialogue.mp3"
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cmd = [
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self.python_bin, str(PROJECT_ROOT / "engines" / "voice-emotion-compiler.py"),
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"--text", self.config["dialogue"],
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"--emotion", self.config["emotion"],
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"--output", str(output_path)
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]
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print(f" 输出: {output_path.name}")
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result = subprocess.run(cmd, capture_output=True, text=True, timeout=60)
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if result.returncode != 0:
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raise Exception(f"配音失败: {result.stderr}")
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return {"output_path": str(output_path)}
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def step5_lipsync(self):
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"""步骤5: 口型同步 (LIPSYNC-ADAPTER)"""
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print(f" 口型同步...")
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video_path = self.output_dir / "video_with_plaque.mp4"
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if not video_path.exists():
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video_path = self.output_dir / "base_video.mp4"
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audio_path = self.output_dir / "dialogue.mp3"
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if not video_path.exists():
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raise Exception(f"视频不存在: {video_path}")
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if not audio_path.exists():
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raise Exception(f"音频不存在: {audio_path}")
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output_path = self.output_dir / "video_synced.mp4"
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cmd = [
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self.python_bin, str(PROJECT_ROOT / "engines" / "lipsync-adapter.py"),
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"--video", str(video_path),
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"--audio", str(audio_path),
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"--output", str(output_path)
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]
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print(f" 输入视频: {video_path.name}")
|
||
print(f" 输入音频: {audio_path.name}")
|
||
print(f" 输出: {output_path.name}")
|
||
|
||
result = subprocess.run(cmd, capture_output=True, text=True, timeout=300)
|
||
|
||
if result.returncode != 0:
|
||
print(f" ⚠️ 口型同步失败: {result.stderr}")
|
||
print(f" 📌 继续使用非同步视频...")
|
||
# 不抛出异常，继续流程
|
||
return {"warning": "Lipsync failed, continuing with unsynced video"}
|
||
|
||
return {"output_path": str(output_path)}
|
||
|
||
def step6_render_subtitles(self):
|
||
"""步骤6: 渲染字幕 (subtitle-renderer.py)"""
|
||
print(f" 渲染字幕...")
|
||
|
||
video_path = self.output_dir / "video_synced.mp4"
|
||
if not video_path.exists():
|
||
video_path = self.output_dir / "video_with_plaque.mp4"
|
||
if not video_path.exists():
|
||
video_path = self.output_dir / "base_video.mp4"
|
||
|
||
if not video_path.exists():
|
||
raise Exception(f"视频不存在: {video_path}")
|
||
|
||
output_path = self.output_dir / "video_with_subtitles.mp4"
|
||
srt_path = self.output_dir / "dialogue.srt"
|
||
self._write_single_line_srt(srt_path, self.config["dialogue"], float(self.config.get("duration", 3)))
|
||
|
||
# 调用 subtitle-renderer.py
|
||
cmd = [
|
||
self.python_bin, str(PROJECT_ROOT / "engines" / "subtitle-renderer.py"),
|
||
"--srt", str(srt_path),
|
||
"--video", str(video_path),
|
||
"--output", str(output_path)
|
||
]
|
||
|
||
print(f" 输入: {video_path.name}")
|
||
print(f" 字幕: {self.config['dialogue']}")
|
||
print(f" 输出: {output_path.name}")
|
||
|
||
result = subprocess.run(cmd, capture_output=True, text=True, timeout=120)
|
||
|
||
if result.returncode != 0:
|
||
print(f" ⚠️ 字幕渲染失败: {result.stderr}")
|
||
print(f" 📌 继续使用无字幕视频...")
|
||
return {"warning": "Subtitle rendering failed, continuing without subtitles"}
|
||
|
||
return {"output_path": str(output_path)}
|
||
|
||
def step7_mix_audio(self):
|
||
"""步骤7: 混音 (AUDIO-MIXER)"""
|
||
print(f" 混音...")
|
||
|
||
dialogue_path = self.output_dir / "dialogue.mp3"
|
||
output_path = self.output_dir / "final_video.mp4"
|
||
|
||
# 找到带字幕的视频
|
||
video_path = self.output_dir / "video_with_subtitles.mp4"
|
||
if not video_path.exists():
|
||
video_path = self.output_dir / "video_synced.mp4"
|
||
if not video_path.exists():
|
||
video_path = self.output_dir / "video_with_plaque.mp4"
|
||
if not video_path.exists():
|
||
video_path = self.output_dir / "base_video.mp4"
|
||
|
||
if not video_path.exists():
|
||
raise Exception(f"视频不存在: {video_path}")
|
||
|
||
# 提取视频音轨
|
||
video_audio = self.output_dir / "video_audio.mp3"
|
||
print(f" 提取视频音轨...")
|
||
|
||
# TODO: 实际调用 ffmpeg 提取音轨
|
||
|
||
# 混音
|
||
print(f" 混音...")
|
||
cmd = [
|
||
self.python_bin, str(PROJECT_ROOT / "engines" / "audio-mixer.py"),
|
||
"--dialogue", str(dialogue_path),
|
||
"--output", str(self.output_dir / "mixed_audio.mp3")
|
||
]
|
||
|
||
if video_audio.exists():
|
||
cmd.extend(["--original", str(video_audio)])
|
||
|
||
result = subprocess.run(cmd, capture_output=True, text=True, timeout=60)
|
||
|
||
if result.returncode != 0:
|
||
print(f" ⚠️ 混音失败: {result.stderr}")
|
||
|
||
# 合并视频和混音后的音频
|
||
print(f" 合并视频和音频...")
|
||
# TODO: ffmpeg -i video -i audio -c:v copy -c:a aac output
|
||
|
||
return {"output_path": str(output_path), "note": "TODO: 实际合并视频和音频"}
|
||
|
||
def step8_qc(self):
|
||
"""步骤8: 质检 (SHOT-QC-AUTOMATION)"""
|
||
print(f" 质检...")
|
||
|
||
video_path = self.output_dir / "final_video.mp4"
|
||
if not video_path.exists():
|
||
# 找任何可用的视频
|
||
for v in self.output_dir.glob("*.mp4"):
|
||
video_path = v
|
||
break
|
||
|
||
if not video_path or not video_path.exists():
|
||
print(f" ⚠️ 无视频文件可质检")
|
||
return {"skipped": True, "reason": "no video found"}
|
||
|
||
cmd = [
|
||
self.python_bin, str(PROJECT_ROOT / "engines" / "shot-qc-automation.py"),
|
||
"--video", str(video_path),
|
||
"--character", self.config["character"],
|
||
"--output", str(self.output_dir / "qc_report.json")
|
||
]
|
||
|
||
print(f" 输入: {video_path.name}")
|
||
|
||
result = subprocess.run(cmd, capture_output=True, text=True, timeout=120)
|
||
|
||
if result.returncode != 0:
|
||
print(f" ⚠️ 质检失败: {result.stderr}")
|
||
return {"warning": "QC failed"}
|
||
|
||
# 读取 QC 报告
|
||
qc_report_path = self.output_dir / "qc_report.json"
|
||
if qc_report_path.exists():
|
||
with open(qc_report_path, "r", encoding="utf-8") as f:
|
||
qc_result = json.load(f)
|
||
passed = qc_result.get("passed", False)
|
||
score = qc_result.get("score", 0)
|
||
print(f" QC 结果: {'✅ 通过' if passed else '❌ 失败'} (分数: {score:.1f}/10)")
|
||
return {"passed": passed, "score": score, "report": str(qc_report_path)}
|
||
|
||
return {"passed": None, "warning": "QC report not found"}
|
||
|
||
def step9_generate_report(self):
|
||
"""步骤9: 生成生产报告"""
|
||
print(f" 生成生产报告...")
|
||
|
||
report_path = self.output_dir / f"production_report_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json"
|
||
|
||
with open(report_path, "w", encoding="utf-8") as f:
|
||
json.dump(self.state, f, ensure_ascii=False, indent=2)
|
||
|
||
print(f" ✅ 报告已保存: {report_path.name}")
|
||
|
||
# 打印总结
|
||
print(f"\n📊 生产总结")
|
||
print(f" 状态: {self.state['status']}")
|
||
print(f" 步骤数: {len(self.state['steps'])}")
|
||
success_count = sum(1 for s in self.state["steps"].values() if s.get("status") == "success")
|
||
print(f" 成功: {success_count}/{len(self.state['steps'])}")
|
||
|
||
return {"report_path": str(report_path)}
|
||
|
||
def _save_state(self):
|
||
"""保存生产状态"""
|
||
state_path = self.output_dir / "production_state.json"
|
||
with open(state_path, "w", encoding="utf-8") as f:
|
||
json.dump(self.state, f, ensure_ascii=False, indent=2)
|
||
|
||
def resume(self, state_file):
|
||
"""从失败点恢复"""
|
||
print(f"\n📂 从失败点恢复: {state_file}")
|
||
|
||
state_path = Path(state_file)
|
||
if not state_path.exists():
|
||
print(f" ❌ 状态文件不存在: {state_file}")
|
||
return False
|
||
|
||
with open(state_path, "r", encoding="utf-8") as f:
|
||
self.state = json.load(f)
|
||
|
||
print(f" 上次状态: {self.state['status']}")
|
||
print(f" 当前步骤: {self.state['current_step']}")
|
||
|
||
# 找到当前步骤，继续执行
|
||
steps = list(self.state["steps"].keys())
|
||
if self.state["current_step"] in steps:
|
||
start_idx = steps.index(self.state["current_step"])
|
||
else:
|
||
start_idx = 0
|
||
|
||
print(f" 从第 {start_idx + 1} 步继续...")
|
||
|
||
# TODO: 实际恢复逻辑
|
||
|
||
return True
|
||
|
||
def _write_single_line_srt(self, srt_path, text, duration):
|
||
"""Write a one-line SRT from the locked source dialogue."""
|
||
duration_ms = max(500, int(duration * 1000))
|
||
end_seconds = duration_ms // 1000
|
||
end_ms = duration_ms % 1000
|
||
srt_path.parent.mkdir(parents=True, exist_ok=True)
|
||
content = (
|
||
"1\n"
|
||
f"00:00:00,000 --> 00:00:{end_seconds:02d},{end_ms:03d}\n"
|
||
f"{text}\n"
|
||
)
|
||
with open(srt_path, "w", encoding="utf-8") as f:
|
||
f.write(content)
|
||
return srt_path
|
||
|
||
|
||
def main():
|
||
parser = argparse.ArgumentParser(description="EP01-SHOT03-PRODUCTION-CLI")
|
||
parser.add_argument("--run", action="store_true", help="执行生产")
|
||
parser.add_argument("--dry-run", action="store_true", help="Dry Run (只打印计划)")
|
||
parser.add_argument("--resume", type=str, help="从状态文件恢复")
|
||
|
||
args = parser.parse_args()
|
||
|
||
if not args.run and not args.dry_run and not args.resume:
|
||
parser.print_help()
|
||
sys.exit(1)
|
||
|
||
if args.resume:
|
||
cli = EP01Shot03ProductionCLI(dry_run=False)
|
||
cli.resume(args.resume)
|
||
else:
|
||
cli = EP01Shot03ProductionCLI(dry_run=args.dry_run)
|
||
success = cli.run()
|
||
sys.exit(0 if success else 1)
|
||
|
||
|
||
if __name__ == "__main__":
|
||
main()
|