{
  "format": "mosael-workflow",
  "version": 1,
  "workflow_revision": 1,
  "name": "拆解参考视频:镜头表 + 联系表 + 报告",
  "description": "选素材库里的一条视频,先用代码量出刀口和每一镜的动静(不花钱、不是模型猜的),取每镜两帧拼成联系表;可选转写口播,把台词按时间分给每一镜;再让视觉模型逐镜判景别、运镜、转场、节奏,写画面描述和照着重生的分镜提示词(每批最多 25 镜一次调用,代码对账:表外的词当场清掉、声称在动而实测没动的运镜被拦下并记下);最后代码出镜头表报告,模型写拆解总结(结构、节奏曲线、钩子、可复用的手法),存成笔记交付。花费量级:一镜不多花,25 镜一次视觉调用 —— 一条 1 分钟、30 镜的视频是两次视觉调用,加写总结的一次对话。起点是素材库里已有的视频;想拆链接里的片子,先用「从链接导入」把它下载进素材库。",
  "graph_hash": "abd53b97a9c7a0afa1f09b1127893e037f7c043e311afea2846ae6172ee035d6",
  "graph": {
    "meta": {
      "template_id": "reference_video_shots",
      "template_version": 1,
      "source": "official"
    },
    "nodes": [
      {
        "id": "start",
        "type": "start",
        "name": "设置拆解重点",
        "position": {
          "x": 40,
          "y": 478
        },
        "config": {
          "params": {
            "transcribe_speech": "yes",
            "focus": ""
          }
        }
      },
      {
        "id": "source_video",
        "type": "asset",
        "name": "选择要拆解的参考视频",
        "position": {
          "x": 360,
          "y": 478
        },
        "config": {
          "asset_id": ""
        }
      },
      {
        "id": "detect",
        "type": "detect_shots",
        "name": "拆镜头(刀口 / 动静 / 联系表)",
        "position": {
          "x": 680,
          "y": 478
        },
        "config": {
          "asset_id": "",
          "save_sheets": "no"
        },
        "inputs": [
          "asset_id"
        ]
      },
      {
        "id": "want_speech",
        "type": "condition",
        "name": "要转写口播分台词吗",
        "position": {
          "x": 1000,
          "y": 478
        },
        "config": {
          "left": "{{start.transcribe_speech}}",
          "op": "not_equals",
          "right": "no"
        }
      },
      {
        "id": "transcript",
        "type": "transcribe_asset",
        "name": "转写口播(带时间码)",
        "position": {
          "x": 1320,
          "y": 288
        },
        "config": {
          "asset_id": ""
        },
        "inputs": [
          "asset_id"
        ]
      },
      {
        "id": "transcript_section",
        "type": "template",
        "name": "逐字稿附在笔记后",
        "position": {
          "x": 1640,
          "y": 288
        },
        "config": {
          "template": "## 口播逐字稿\n\n{{transcript.text}}"
        }
      },
      {
        "id": "describe",
        "type": "describe_shots",
        "name": "逐镜看画面(景别 / 运镜 / 节奏)",
        "position": {
          "x": 1960,
          "y": 478
        },
        "config": {
          "asset_id": "",
          "profile_id": "",
          "model": ""
        },
        "inputs": [
          "asset_id"
        ]
      },
      {
        "id": "report",
        "type": "shot_report",
        "name": "镜头表报告",
        "position": {
          "x": 2280,
          "y": 478
        },
        "config": {
          "asset_id": ""
        },
        "inputs": [
          "asset_id"
        ]
      },
      {
        "id": "summary",
        "type": "llm",
        "name": "写拆解总结(结构 / 节奏 / 钩子 / 手法)",
        "position": {
          "x": 2600,
          "y": 478
        },
        "config": {
          "profile_id": "",
          "model": "",
          "preset": "balanced",
          "system": "你是一名资深短视频编导,擅长拉片拆解。你会收到一份参考视频的完整镜头表:每一镜的镜号、起止时间、\n时长、实测动静、景别、类别、运镜、转场、节奏、画面描述、这一镜的台词,以及照着重生的分镜提示词;另有判画面时的\n对账提示(哪一镜的判断被代码纠正过、为什么 —— 被纠正过的运镜说法不要照抄)。镜头表里的数字(镜长、每分钟几刀)\n是代码量出来的,是事实,照用,不要自己重算也不要改镜头表。基于它写一份给创作者照着做的拆解:整体结构、节奏曲线\n(哪里快哪里慢、为什么)、前 5 秒的钩子、最值得复用的拍摄手法;开始参数里点了拆解重点的话,单独回应那个方向。\n只输出符合 JSON Schema 的对象。",
          "prompt": "素材:{{source_video.name}}({{source_video.duration}} 秒)\n拆解重点(可能为空):{{start.focus}}\n\n## 镜头表\n\n{{report.report_markdown}}\n\n## 判画面对账提示(可能为空)\n{{describe.hints}}\n\n## 口播逐字稿(可能为空)\n{{transcript.text}}",
          "response_format": "json_schema",
          "json_schema_name": "reference_video_breakdown",
          "json_schema": {
            "type": "object",
            "properties": {
              "title": {
                "type": "string",
                "description": "笔记标题:片子名 + 一句话定性"
              },
              "verdict": {
                "type": "string",
                "description": "一句话总评:这条片子靠什么成立"
              },
              "structure": {
                "type": "string",
                "description": "整体结构:几段式、各段在干什么、怎么衔接"
              },
              "pacing": {
                "type": "string",
                "description": "节奏曲线:哪里快哪里慢、为什么、和情绪的关系"
              },
              "hook": {
                "type": "string",
                "description": "前 5 秒的钩子:抛了什么、怎么留人"
              },
              "techniques": {
                "type": "array",
                "items": {
                  "type": "string"
                },
                "description": "最值得复用的拍摄手法,逐条写清怎么照做"
              },
              "report_markdown": {
                "type": "string",
                "description": "完整拆解(markdown,含上面各部分)"
              }
            },
            "required": [
              "title",
              "verdict",
              "structure",
              "pacing",
              "hook",
              "techniques",
              "report_markdown"
            ],
            "additionalProperties": false
          },
          "json_schema_strict": "true",
          "temperature": 0.3,
          "max_tokens": 12000
        }
      },
      {
        "id": "save_note",
        "type": "note_create",
        "name": "存成笔记(总结 + 镜头表 + 分镜提示词)",
        "position": {
          "x": 2920,
          "y": 478
        },
        "config": {
          "title": "{{summary.json.title}}",
          "markdown": "> {{summary.json.verdict}}\n\n{{summary.json.report_markdown}}\n\n---\n\n## 镜头表与分镜提示词\n\n{{report.report_markdown}}\n\n{{transcript_section.text}}",
          "tags": "参考视频拆解"
        }
      },
      {
        "id": "done_notice",
        "type": "notify",
        "name": "拆解完成通知",
        "position": {
          "x": 3240,
          "y": 478
        },
        "config": {
          "title": "参考视频拆解已存成笔记",
          "body": "{{source_video.name}} —— {{summary.json.verdict}}"
        }
      },
      {
        "id": "output",
        "type": "output",
        "name": "交付拆解与镜头表",
        "position": {
          "x": 3560,
          "y": 478
        },
        "config": {
          "values": {
            "note_id": "{{save_note.note_id}}",
            "title": "{{summary.json.title}}",
            "verdict": "{{summary.json.verdict}}",
            "summary_markdown": "{{summary.json.report_markdown}}",
            "shot_report_markdown": "{{report.report_markdown}}",
            "stats": "{{report.stats}}",
            "shot_count": "{{report.shot_count}}",
            "judged_batches": "{{describe.judged}}",
            "hints": "{{describe.hints}}",
            "video_asset_id": "{{source_video.asset_id}}",
            "transcript": "{{transcript.text}}"
          }
        }
      }
    ],
    "edges": [
      {
        "id": "start__source_video",
        "source": "start",
        "target": "source_video"
      },
      {
        "id": "source_video__detect",
        "source": "source_video",
        "target": "detect"
      },
      {
        "id": "detect__want_speech",
        "source": "detect",
        "target": "want_speech"
      },
      {
        "id": "want_speech__transcript__true",
        "source": "want_speech",
        "target": "transcript",
        "source_handle": "true"
      },
      {
        "id": "transcript__transcript_section",
        "source": "transcript",
        "target": "transcript_section"
      },
      {
        "id": "want_speech__describe__false",
        "source": "want_speech",
        "target": "describe",
        "source_handle": "false"
      },
      {
        "id": "transcript_section__describe",
        "source": "transcript_section",
        "target": "describe"
      },
      {
        "id": "describe__report",
        "source": "describe",
        "target": "report"
      },
      {
        "id": "report__summary",
        "source": "report",
        "target": "summary"
      },
      {
        "id": "summary__save_note",
        "source": "summary",
        "target": "save_note"
      },
      {
        "id": "save_note__done_notice",
        "source": "save_note",
        "target": "done_notice"
      },
      {
        "id": "done_notice__output",
        "source": "done_notice",
        "target": "output"
      },
      {
        "id": "d-source_video-asset_id-detect-asset_id",
        "source": "source_video",
        "target": "detect",
        "kind": "data",
        "source_output": "asset_id",
        "target_input": "asset_id"
      },
      {
        "id": "d-source_video-asset_id-transcript-asset_id",
        "source": "source_video",
        "target": "transcript",
        "kind": "data",
        "source_output": "asset_id",
        "target_input": "asset_id"
      },
      {
        "id": "d-source_video-asset_id-describe-asset_id",
        "source": "source_video",
        "target": "describe",
        "kind": "data",
        "source_output": "asset_id",
        "target_input": "asset_id"
      },
      {
        "id": "d-source_video-asset_id-report-asset_id",
        "source": "source_video",
        "target": "report",
        "kind": "data",
        "source_output": "asset_id",
        "target_input": "asset_id"
      }
    ]
  }
}