11
This commit is contained in:
186
scripts/nodejs/cover_generate.js
Normal file
186
scripts/nodejs/cover_generate.js
Normal file
@@ -0,0 +1,186 @@
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"use strict";
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/**
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* 视频封面生成:优先高级 Python → PIL Python → ffmpeg drawtext 回退
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*/
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const fs = require("fs");
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const path = require("path");
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const os = require("os");
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const { spawnSync } = require("child_process");
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const pipelineNative = require("./pipeline_native.js");
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const coverPython = require("./cover_python_runner.js");
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const OUTPUT_DIR = path.join(os.tmpdir(), "aiclient-cover");
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function ensureDir() {
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fs.mkdirSync(OUTPUT_DIR, { recursive: true });
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return OUTPUT_DIR;
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}
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function execFfmpeg(args) {
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const ffmpeg = pipelineNative.locateFfmpeg();
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if (!ffmpeg) {
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throw new Error("未找到 ffmpeg,请配置 AICLIENT_FFMPEG_PATH 或 src-tauri/binaries/ffmpeg.exe");
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}
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const r = spawnSync(ffmpeg, args, { encoding: "utf8", windowsHide: true });
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if (r.status !== 0) {
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throw new Error((r.stderr || r.stdout || "").trim() || `ffmpeg 退出码 ${r.status}`);
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}
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}
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function escapeDrawtext(text) {
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return String(text)
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.replace(/\\/g, "\\\\")
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.replace(/'/g, "'\\''")
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.replace(/:/g, "\\:")
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.replace(/%/g, "\\%");
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}
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function buildTextPosition(titlePosition) {
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if (titlePosition === "top") return "y=50";
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if (titlePosition === "center") return "y=(h-text_h)/2";
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return "y=h-text_h-50";
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}
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function runFfmpegCover({ sourceVideo, titleText, effectStyle, coverPath, tempFramePath, emit }) {
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emit?.("正在提取视频帧…");
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execFfmpeg([
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"-ss",
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"00:00:03",
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"-i",
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sourceVideo,
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"-vframes",
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"1",
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"-pix_fmt",
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"yuvj420p",
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"-c:v",
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"mjpeg",
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"-strict:v",
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"unofficial",
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"-f",
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"image2",
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"-y",
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tempFramePath,
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]);
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const titleFontSize = effectStyle.titleFontSize ?? 90;
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const titleFontColor = effectStyle.titleFontColor || "#FFFFFF";
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const titlePosition = effectStyle.titlePosition || "bottom";
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const textPos = buildTextPosition(titlePosition);
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const escaped = escapeDrawtext(titleText);
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const vf = `drawtext=text='${escaped}':fontsize=${titleFontSize}:fontcolor=${titleFontColor}:x=(w-text_w)/2:${textPos}:shadowcolor=black:shadowx=2:shadowy=2`;
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emit?.("正在叠加标题文字(ffmpeg)…");
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execFfmpeg(["-i", tempFramePath, "-vf", vf, "-y", coverPath]);
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}
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function shouldUsePilCover(effectStyle) {
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if (coverPython.isAdvancedCoverConfig(effectStyle)) return false;
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return (
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(effectStyle.titleStrokeWidth && effectStyle.titleStrokeWidth > 0) ||
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Boolean(effectStyle.titleFontFamily) ||
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Boolean(effectStyle.titleColor) ||
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effectStyle.titleShadowBlur > 0
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);
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}
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globalThis.__nodejsMain = async function main(params) {
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const p = params || {};
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const videoPath = String(p.videoPath || "").trim();
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const titleText = String(p.titleText || "").trim();
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const effectStyle = p.effectStyle || {};
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if (!videoPath || !fs.existsSync(videoPath)) {
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return { success: false, error: "视频文件不存在,请先在步骤 02/03/05 生成视频" };
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}
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if (!titleText) {
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return { success: false, error: "标题文本不能为空,请先在步骤 04 生成标题" };
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}
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ensureDir();
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const ts = Date.now();
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const tempFramePath = path.join(OUTPUT_DIR, `temp_frame_${ts}.jpg`);
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const coverPath = path.join(OUTPUT_DIR, `cover_${ts}.jpg`);
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let sourceVideo = videoPath;
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const custom = String(effectStyle.customVideoPath || "").trim();
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if (custom && fs.existsSync(custom)) {
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sourceVideo = custom;
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}
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const emit = (status) => globalThis.__native?.emitProgress?.(status);
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try {
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if (coverPython.isAdvancedCoverConfig(effectStyle)) {
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const adv = coverPython.runAdvancedCoverGenerator({
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videoPath: sourceVideo,
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titleText,
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outputPath: coverPath,
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config: effectStyle,
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onProgress: emit,
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});
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if (adv.success) {
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return {
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success: true,
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coverPath: adv.coverPath,
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previewImages: adv.previewImages,
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message: adv.message || "高级封面生成完成",
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mode: "advanced_python",
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};
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}
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emit(`高级生成失败,尝试回退:${(adv.error || "").slice(0, 80)}`);
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} else if (shouldUsePilCover(effectStyle) && coverPython.locatePython()) {
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const pil = coverPython.runBasicCoverGenerator({
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videoPath: sourceVideo,
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titleText,
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outputPath: coverPath,
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config: effectStyle,
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timestamp: 3,
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onProgress: emit,
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});
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if (pil.success) {
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return {
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success: true,
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coverPath: pil.coverPath,
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message: pil.message || "封面生成完成",
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mode: "pil_python",
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};
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}
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emit(`PIL 生成失败,尝试 ffmpeg 回退…`);
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}
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runFfmpegCover({
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sourceVideo,
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titleText,
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effectStyle,
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coverPath,
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tempFramePath,
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emit,
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});
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if (fs.existsSync(tempFramePath)) {
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try {
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fs.unlinkSync(tempFramePath);
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} catch {
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/* ignore */
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}
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}
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if (!fs.existsSync(coverPath)) {
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return { success: false, error: "封面文件未生成" };
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}
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return {
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success: true,
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coverPath,
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message: "封面生成完成",
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mode: "ffmpeg",
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};
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} catch (e) {
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return {
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success: false,
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error: e.message || String(e),
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};
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}
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};
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203
scripts/nodejs/cover_python_runner.js
Normal file
203
scripts/nodejs/cover_python_runner.js
Normal file
@@ -0,0 +1,203 @@
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"use strict";
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/**
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* 调用 bundled Python 封面脚本(对齐 Electron ipAgent:generateVideoCover)
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*/
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const fs = require("fs");
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const path = require("path");
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const { spawnSync } = require("child_process");
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const pipelineNative = require("./pipeline_native.js");
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function locatePython() {
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const env = process.env.AICLIENT_PYTHON_PATH;
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if (env && fs.existsSync(env)) return env;
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return null;
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}
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function locateCoverScriptsDir() {
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const env = process.env.AICLIENT_COVER_SCRIPTS_DIR;
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if (env && fs.existsSync(path.join(env, "advanced_cover_generator.py"))) {
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return env;
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}
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return null;
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}
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function normalizePathForPython(filePath) {
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if (process.platform === "win32") {
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return String(filePath).replace(/\\/g, "/");
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}
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return String(filePath);
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}
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function buildPythonEnv() {
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const env = { ...process.env, PYTHONIOENCODING: "utf-8" };
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const ffmpeg = pipelineNative.locateFfmpeg();
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if (ffmpeg && fs.existsSync(ffmpeg)) {
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const ffmpegDir = path.dirname(ffmpeg);
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const sep = process.platform === "win32" ? ";" : ":";
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env.PATH = `${ffmpegDir}${sep}${env.PATH || ""}`;
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env.AICLIENT_FFMPEG_PATH = ffmpeg;
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}
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return env;
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}
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/** 与 Electron main 中 isNewTemplate 判定一致 */
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function isAdvancedCoverConfig(config) {
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if (!config || typeof config !== "object") return false;
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return (
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config.blurBackground !== undefined ||
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config.extractPerson !== undefined ||
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config.personOutlineColor !== undefined ||
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config.personOutlineWidth !== undefined ||
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config.maskImagePath !== undefined ||
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Boolean(config.titleFontFamily) ||
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config.titleBackgroundEnabled !== undefined ||
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config.personSize !== undefined ||
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config.backgroundBlurEnabled !== undefined
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);
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}
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/**
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* @param {{ videoPath: string, titleText: string, outputPath: string, config: object, onProgress?: (s: string) => void }} opts
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*/
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function runAdvancedCoverGenerator(opts) {
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const python = locatePython();
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const scriptsDir = locateCoverScriptsDir();
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if (!python) {
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return { success: false, error: "未找到 Python 运行时,请检查 resources-bundles/python-runtimebackup" };
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}
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if (!scriptsDir) {
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return { success: false, error: "未找到封面脚本目录(cover-python)" };
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}
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const script = path.join(scriptsDir, "advanced_cover_generator.py");
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if (!fs.existsSync(script)) {
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return { success: false, error: `缺少脚本: ${script}` };
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}
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const configJson = JSON.stringify({
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...opts.config,
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output: opts.outputPath,
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customVideoPath: opts.config.customVideoPath || undefined,
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});
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opts.onProgress?.("正在使用高级封面生成器…");
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const args = [
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script,
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"--video",
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normalizePathForPython(opts.videoPath),
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"--title",
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opts.titleText,
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"--output",
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normalizePathForPython(opts.outputPath),
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"--config",
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configJson,
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];
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const r = spawnSync(python, args, {
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encoding: "utf8",
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windowsHide: true,
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cwd: scriptsDir,
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env: buildPythonEnv(),
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maxBuffer: 20 * 1024 * 1024,
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});
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if (r.error) {
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return { success: false, error: r.error.message || String(r.error) };
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}
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let previewImages = [];
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const stdout = (r.stdout || "").trim();
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if (stdout) {
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try {
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const lastLine = stdout.split("\n").filter(Boolean).pop();
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const parsed = JSON.parse(lastLine || stdout);
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if (parsed.previewImages) previewImages = parsed.previewImages;
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if (parsed.success === false) {
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return {
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success: false,
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error: parsed.error || parsed.message || "高级封面生成失败",
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stderr: r.stderr,
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};
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}
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} catch {
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/* 非 JSON 时仅检查文件 */
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}
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}
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if (r.status !== 0 || !fs.existsSync(opts.outputPath)) {
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const errMsg =
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(r.stderr || "").trim() ||
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stdout ||
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`Python 退出码 ${r.status ?? "unknown"}`;
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return { success: false, error: errMsg };
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}
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return {
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success: true,
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coverPath: opts.outputPath,
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previewImages,
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message: "高级封面生成完成",
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};
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}
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/**
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* PIL 中等复杂度封面(cover_generator.py)
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* @param {{ videoPath: string, titleText: string, outputPath: string, config: object, timestamp?: number, onProgress?: (s: string) => void }} opts
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*/
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function runBasicCoverGenerator(opts) {
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const python = locatePython();
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const scriptsDir = locateCoverScriptsDir();
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if (!python || !scriptsDir) {
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return { success: false, error: "未找到 Python 或封面脚本" };
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}
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const script = path.join(scriptsDir, "cover_generator.py");
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if (!fs.existsSync(script)) {
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return { success: false, error: `缺少脚本: ${script}` };
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}
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opts.onProgress?.("正在使用 PIL 封面生成器…");
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const configJson = JSON.stringify(opts.config || {});
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const args = [
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script,
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"--video",
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normalizePathForPython(opts.videoPath),
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"--title",
|
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opts.titleText,
|
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"--output",
|
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normalizePathForPython(opts.outputPath),
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"--config",
|
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configJson,
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"--timestamp",
|
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String(opts.timestamp ?? 3),
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];
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const r = spawnSync(python, args, {
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encoding: "utf8",
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windowsHide: true,
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cwd: scriptsDir,
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env: buildPythonEnv(),
|
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maxBuffer: 10 * 1024 * 1024,
|
||||
});
|
||||
|
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if (r.status === 0 && fs.existsSync(opts.outputPath)) {
|
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return { success: true, coverPath: opts.outputPath, message: "封面生成完成" };
|
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}
|
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|
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return {
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success: false,
|
||||
error: (r.stderr || r.stdout || "").trim() || `Python 退出码 ${r.status}`,
|
||||
};
|
||||
}
|
||||
|
||||
module.exports = {
|
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isAdvancedCoverConfig,
|
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runAdvancedCoverGenerator,
|
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runBasicCoverGenerator,
|
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locatePython,
|
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locateCoverScriptsDir,
|
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};
|
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@@ -259,6 +259,25 @@ function parseTranscriptionText(trans) {
|
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return fullText;
|
||||
}
|
||||
|
||||
/** @returns {Array<{ text: string, start: number, end: number }>} start/end 毫秒 */
|
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function parseTranscriptionSentences(trans) {
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const records = [];
|
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if (trans?.transcripts?.length) {
|
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for (const t of trans.transcripts) {
|
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if (t.sentences?.length) {
|
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for (const s of t.sentences) {
|
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const text = String(s.text || "").trim();
|
||||
if (!text) continue;
|
||||
const start = Number(s.begin_time ?? s.start_time ?? 0);
|
||||
const end = Number(s.end_time ?? s.end_time ?? start + 2000);
|
||||
records.push({ text, start, end });
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
return records;
|
||||
}
|
||||
|
||||
async function fetchJson(url, options = {}) {
|
||||
const res = await fetch(url, options);
|
||||
const text = await res.text();
|
||||
@@ -537,7 +556,8 @@ async function aliyunAsrFiletrans(audioUrl, opts) {
|
||||
}
|
||||
const trans = await fetchJson(transUrl);
|
||||
const fullText = parseTranscriptionText(trans);
|
||||
return { success: true, text: fullText };
|
||||
const sentences = parseTranscriptionSentences(trans);
|
||||
return { success: true, text: fullText, sentences };
|
||||
}
|
||||
if (status === "FAILED" || status === "UNKNOWN") {
|
||||
const detail =
|
||||
@@ -597,10 +617,21 @@ async function localAsr(audioPath, info) {
|
||||
data.data?.records ||
|
||||
data.records ||
|
||||
[];
|
||||
const text = Array.isArray(records)
|
||||
? records.map((r) => r.text || "").join("")
|
||||
const sentences = Array.isArray(records)
|
||||
? records
|
||||
.map((r) => {
|
||||
const text = String(r.text || "").trim();
|
||||
if (!text) return null;
|
||||
const start = Number(r.start ?? r.begin_time ?? 0);
|
||||
const end = Number(r.end ?? r.end_time ?? start + 2000);
|
||||
return { text, start, end };
|
||||
})
|
||||
.filter(Boolean)
|
||||
: [];
|
||||
const text = sentences.length
|
||||
? sentences.map((r) => r.text).join("")
|
||||
: data.text || data.data?.text || "";
|
||||
resolve({ success: true, text: String(text) });
|
||||
resolve({ success: true, text: String(text), sentences });
|
||||
} else {
|
||||
resolve({ success: false, error: data.msg || data.error || raw.slice(0, 200) });
|
||||
}
|
||||
@@ -656,8 +687,10 @@ module.exports = {
|
||||
aliyunOssUpload,
|
||||
aliyunAsrFiletrans,
|
||||
localAsr,
|
||||
parseTranscriptionSentences,
|
||||
openaiChat,
|
||||
resolveTtsModel,
|
||||
splitTextForTts,
|
||||
qwenTtsSynthesize,
|
||||
locateFfmpeg,
|
||||
};
|
||||
|
||||
121
scripts/nodejs/publish_browser.js
Normal file
121
scripts/nodejs/publish_browser.js
Normal file
@@ -0,0 +1,121 @@
|
||||
"use strict";
|
||||
|
||||
/**
|
||||
* 发布用 Puppeteer 浏览器(按平台/账号隔离 userDataDir)
|
||||
*/
|
||||
const fs = require("fs");
|
||||
const path = require("path");
|
||||
const os = require("os");
|
||||
|
||||
const {
|
||||
COMMON_BROWSER_ARGS,
|
||||
BROWSER_IGNORE_DEFAULT_ARGS,
|
||||
STEALTH_INIT_SCRIPT,
|
||||
DEFAULT_USER_AGENT,
|
||||
} = require("./douyin_browser_constants.js");
|
||||
|
||||
const browsers = new Map();
|
||||
|
||||
function getRuntimeDataPath(...parts) {
|
||||
const base = process.env.AICLIENT_DATA_DIR || path.join(os.homedir(), ".aiclient");
|
||||
return path.join(base, ...parts);
|
||||
}
|
||||
|
||||
function getChromiumExecutablePath() {
|
||||
const fromEnv =
|
||||
process.env.AICLIENT_CHROMIUM_PATH || process.env.PUPPETEER_EXECUTABLE_PATH;
|
||||
if (fromEnv && fs.existsSync(fromEnv)) return fromEnv;
|
||||
const candidates = [];
|
||||
if (process.platform === "win32") {
|
||||
const pf = process.env.ProgramFiles || "C:\\Program Files";
|
||||
const local = process.env.LOCALAPPDATA || "";
|
||||
candidates.push(
|
||||
path.join(pf, "Google", "Chrome", "Application", "chrome.exe"),
|
||||
path.join(local, "Google", "Chrome", "Application", "chrome.exe"),
|
||||
path.join(pf, "Microsoft", "Edge", "Application", "msedge.exe"),
|
||||
);
|
||||
}
|
||||
return candidates.find((p) => p && fs.existsSync(p));
|
||||
}
|
||||
|
||||
function loadPuppeteer() {
|
||||
try {
|
||||
return require("puppeteer-core");
|
||||
} catch {
|
||||
return require("puppeteer");
|
||||
}
|
||||
}
|
||||
|
||||
function contextKey(platform, accountId) {
|
||||
return accountId ? `publish_${platform}_${accountId}` : `publish_${platform}`;
|
||||
}
|
||||
|
||||
function userDataDir(platform, accountId) {
|
||||
const sub = accountId ? `${platform}_${accountId}` : platform;
|
||||
return getRuntimeDataPath("browser-data", "publish", sub);
|
||||
}
|
||||
|
||||
function delay(ms) {
|
||||
return new Promise((r) => setTimeout(r, ms));
|
||||
}
|
||||
|
||||
async function getPublishBrowser(platform, accountId) {
|
||||
const key = contextKey(platform, accountId);
|
||||
const existing = browsers.get(key);
|
||||
if (existing && existing.isConnected()) {
|
||||
return existing;
|
||||
}
|
||||
const puppeteer = loadPuppeteer();
|
||||
const dir = userDataDir(platform, accountId);
|
||||
if (!fs.existsSync(dir)) fs.mkdirSync(dir, { recursive: true });
|
||||
const executablePath = getChromiumExecutablePath();
|
||||
if (!executablePath) {
|
||||
throw new Error(
|
||||
"未找到 Chrome/Edge,请安装浏览器或设置 AICLIENT_CHROMIUM_PATH",
|
||||
);
|
||||
}
|
||||
const browser = await puppeteer.launch({
|
||||
executablePath,
|
||||
headless: false,
|
||||
userDataDir: dir,
|
||||
args: COMMON_BROWSER_ARGS,
|
||||
ignoreDefaultArgs: BROWSER_IGNORE_DEFAULT_ARGS,
|
||||
defaultViewport: { width: 1280, height: 900 },
|
||||
});
|
||||
browser.on("disconnected", () => browsers.delete(key));
|
||||
browsers.set(key, browser);
|
||||
return browser;
|
||||
}
|
||||
|
||||
async function newPublishPage(platform, accountId, cookies) {
|
||||
const browser = await getPublishBrowser(platform, accountId);
|
||||
const page = await browser.newPage();
|
||||
await page.setUserAgent(DEFAULT_USER_AGENT);
|
||||
await page.evaluateOnNewDocument(STEALTH_INIT_SCRIPT);
|
||||
page.setDefaultNavigationTimeout(60000);
|
||||
page.setDefaultTimeout(60000);
|
||||
if (Array.isArray(cookies) && cookies.length) {
|
||||
try {
|
||||
await page.setCookie(...cookies);
|
||||
} catch (e) {
|
||||
console.warn("setCookie 失败:", e.message);
|
||||
}
|
||||
}
|
||||
return page;
|
||||
}
|
||||
|
||||
const LOGIN_URLS = {
|
||||
douyin: "https://creator.douyin.com/",
|
||||
kuaishou: "https://cp.kuaishou.com/",
|
||||
shipin: "https://channels.weixin.qq.com/",
|
||||
xiaohongshu: "https://creator.xiaohongshu.com/",
|
||||
};
|
||||
|
||||
module.exports = {
|
||||
delay,
|
||||
getPublishBrowser,
|
||||
newPublishPage,
|
||||
userDataDir,
|
||||
LOGIN_URLS,
|
||||
getChromiumExecutablePath,
|
||||
};
|
||||
71
scripts/nodejs/publish_check_login.js
Normal file
71
scripts/nodejs/publish_check_login.js
Normal file
@@ -0,0 +1,71 @@
|
||||
"use strict";
|
||||
|
||||
const { delay, newPublishPage, LOGIN_URLS } = require("./publish_browser.js");
|
||||
async function checkDouyin(page) {
|
||||
await page.goto("https://creator.douyin.com/creator-micro/content/upload", {
|
||||
waitUntil: "domcontentloaded",
|
||||
});
|
||||
await delay(3000);
|
||||
const url = page.url();
|
||||
if (url.includes("login") || url.includes("passport")) {
|
||||
return { isLoggedIn: false };
|
||||
}
|
||||
const avatar = await page.$("#header-avatar");
|
||||
if (!avatar) return { isLoggedIn: false };
|
||||
let nickname = "";
|
||||
try {
|
||||
nickname = await page.$eval("#header-avatar", (el) => el.getAttribute("alt") || "");
|
||||
} catch {
|
||||
/* ignore */
|
||||
}
|
||||
return {
|
||||
isLoggedIn: true,
|
||||
userInfo: { nickname: nickname || "抖音用户", userId: "" },
|
||||
};
|
||||
}
|
||||
|
||||
globalThis.__nodejsMain = async function main(params) {
|
||||
const p = params || {};
|
||||
const platform = String(p.platform || "").trim();
|
||||
const accountId = p.accountId || null;
|
||||
const cookies = Array.isArray(p.cookies) ? p.cookies : [];
|
||||
|
||||
if (!LOGIN_URLS[platform]) {
|
||||
return { success: false, isLoggedIn: false, error: `不支持的平台: ${platform}` };
|
||||
}
|
||||
|
||||
globalThis.__native?.emitProgress?.("正在检测登录状态…");
|
||||
const page = await newPublishPage(platform, accountId, cookies);
|
||||
try {
|
||||
let result;
|
||||
if (platform === "douyin") {
|
||||
result = await checkDouyin(page);
|
||||
} else {
|
||||
await page.goto(LOGIN_URLS[platform], { waitUntil: "domcontentloaded" });
|
||||
await delay(3000);
|
||||
const url = page.url();
|
||||
const loggedIn = !["login", "passport", "auth"].some((k) => url.includes(k));
|
||||
result = {
|
||||
isLoggedIn: loggedIn,
|
||||
userInfo: loggedIn ? { nickname: "已登录", userId: "" } : undefined,
|
||||
};
|
||||
}
|
||||
return {
|
||||
success: true,
|
||||
isLoggedIn: Boolean(result.isLoggedIn),
|
||||
userInfo: result.userInfo,
|
||||
};
|
||||
} catch (e) {
|
||||
return {
|
||||
success: false,
|
||||
isLoggedIn: false,
|
||||
message: e.message || String(e),
|
||||
};
|
||||
} finally {
|
||||
try {
|
||||
await page.close();
|
||||
} catch {
|
||||
/* ignore */
|
||||
}
|
||||
}
|
||||
};
|
||||
82
scripts/nodejs/publish_login.js
Normal file
82
scripts/nodejs/publish_login.js
Normal file
@@ -0,0 +1,82 @@
|
||||
"use strict";
|
||||
|
||||
const { delay, newPublishPage, LOGIN_URLS } = require("./publish_browser.js");
|
||||
|
||||
const LOGIN_SELECTORS = {
|
||||
douyin: ["#header-avatar", ".creator-avatar", 'input[type="file"]'],
|
||||
kuaishou: ['[class*="avatar"]', ".user-avatar", '[class*="upload"]'],
|
||||
shipin: ['[class*="avatar"]', ".avatar"],
|
||||
xiaohongshu: ['[class*="avatar"]', ".user-avatar", '[class*="upload"]'],
|
||||
};
|
||||
|
||||
const URL_EXCLUDE = {
|
||||
douyin: ["login", "passport"],
|
||||
kuaishou: ["login", "passport"],
|
||||
shipin: ["login", "auth", "qr"],
|
||||
xiaohongshu: ["login", "passport", "account"],
|
||||
};
|
||||
|
||||
async function checkLoggedIn(page, platform) {
|
||||
const url = page.url();
|
||||
const excludes = URL_EXCLUDE[platform] || URL_EXCLUDE.douyin;
|
||||
if (excludes.some((k) => url.includes(k))) return false;
|
||||
const sels = LOGIN_SELECTORS[platform] || LOGIN_SELECTORS.douyin;
|
||||
for (const sel of sels) {
|
||||
const el = await page.$(sel);
|
||||
if (el) return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
globalThis.__nodejsMain = async function main(params) {
|
||||
const p = params || {};
|
||||
const platform = String(p.platform || "").trim();
|
||||
const accountId = p.accountId || null;
|
||||
const loginUrl = LOGIN_URLS[platform];
|
||||
if (!loginUrl) {
|
||||
return { success: false, error: `不支持的平台: ${platform}` };
|
||||
}
|
||||
|
||||
globalThis.__native?.emitProgress?.("正在打开登录页,请在浏览器中完成登录…");
|
||||
const page = await newPublishPage(platform, accountId, []);
|
||||
try {
|
||||
await page.goto(loginUrl, { waitUntil: "domcontentloaded", timeout: 60000 });
|
||||
await delay(3000);
|
||||
|
||||
const maxMs = 300000;
|
||||
const start = Date.now();
|
||||
while (Date.now() - start < maxMs) {
|
||||
if (await checkLoggedIn(page, platform)) {
|
||||
const cookies = await page.cookies();
|
||||
let nickname = "";
|
||||
try {
|
||||
nickname = await page.$eval(
|
||||
".username, .account-name, .user-name, .nickname",
|
||||
(el) => (el.textContent || "").trim(),
|
||||
);
|
||||
} catch {
|
||||
nickname = "已登录用户";
|
||||
}
|
||||
return {
|
||||
success: true,
|
||||
message: "登录成功",
|
||||
nickname: nickname || "已登录用户",
|
||||
uid: `user_${Date.now()}`,
|
||||
cookies,
|
||||
};
|
||||
}
|
||||
await delay(2000);
|
||||
globalThis.__native?.emitProgress?.("等待登录完成…");
|
||||
}
|
||||
return {
|
||||
success: false,
|
||||
error: "登录超时(5 分钟),请重试",
|
||||
};
|
||||
} finally {
|
||||
try {
|
||||
await page.close();
|
||||
} catch {
|
||||
/* keep browser for user */
|
||||
}
|
||||
}
|
||||
};
|
||||
36
scripts/nodejs/publish_platform.js
Normal file
36
scripts/nodejs/publish_platform.js
Normal file
@@ -0,0 +1,36 @@
|
||||
"use strict";
|
||||
|
||||
const { newPublishPage } = require("./publish_browser.js");
|
||||
const { publishToDouyin } = require("./publish_to_douyin.js");
|
||||
|
||||
const PLATFORM_LABELS = {
|
||||
douyin: "抖音",
|
||||
kuaishou: "快手",
|
||||
shipin: "视频号",
|
||||
xiaohongshu: "小红书",
|
||||
};
|
||||
|
||||
async function publishToPlatform(platform, accountId, cookies, params) {
|
||||
const label = PLATFORM_LABELS[platform] || platform;
|
||||
if (platform === "douyin") {
|
||||
const page = await newPublishPage(platform, accountId, cookies);
|
||||
try {
|
||||
return await publishToDouyin(page, params);
|
||||
} finally {
|
||||
if (!params.keepPageOpen) {
|
||||
try {
|
||||
await page.close();
|
||||
} catch {
|
||||
/* ignore */
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
return {
|
||||
success: false,
|
||||
status: "failed",
|
||||
message: `${label}自动发布即将支持,请先使用抖音`,
|
||||
};
|
||||
}
|
||||
|
||||
module.exports = { publishToPlatform, PLATFORM_LABELS };
|
||||
197
scripts/nodejs/publish_to_douyin.js
Normal file
197
scripts/nodejs/publish_to_douyin.js
Normal file
@@ -0,0 +1,197 @@
|
||||
"use strict";
|
||||
|
||||
/**
|
||||
* 抖音创作者中心发布(对齐 Electron publishToDouyin,Puppeteer 版)
|
||||
*/
|
||||
const fs = require("fs");
|
||||
const { delay } = require("./publish_browser.js");
|
||||
|
||||
async function clickIfVisible(page, selector) {
|
||||
const el = await page.$(selector);
|
||||
if (!el) return false;
|
||||
try {
|
||||
await el.click();
|
||||
return true;
|
||||
} catch {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
async function typeIntoFirst(page, selectors, text) {
|
||||
for (const sel of selectors) {
|
||||
const el = await page.$(sel);
|
||||
if (!el) continue;
|
||||
try {
|
||||
await el.click({ clickCount: 3 });
|
||||
await page.keyboard.down("Control");
|
||||
await page.keyboard.press("a");
|
||||
await page.keyboard.up("Control");
|
||||
await page.keyboard.press("Backspace");
|
||||
await el.type(text, { delay: 30 });
|
||||
return true;
|
||||
} catch {
|
||||
/* try next */
|
||||
}
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
async function publishToDouyin(page, params) {
|
||||
const { videoPath, coverPath, title, tags = [], autoPublish } = params;
|
||||
if (!fs.existsSync(videoPath)) throw new Error("视频文件不存在");
|
||||
if (!fs.existsSync(coverPath)) throw new Error("封面文件不存在");
|
||||
|
||||
globalThis.__native?.emitProgress?.("正在打开抖音上传页…");
|
||||
const uploadUrl = "https://creator.douyin.com/creator-micro/content/upload";
|
||||
await page.goto(uploadUrl, { waitUntil: "domcontentloaded" });
|
||||
await delay(3000);
|
||||
|
||||
let currentUrl = page.url();
|
||||
if (currentUrl.includes("login") || currentUrl.includes("passport")) {
|
||||
throw new Error("未登录抖音,请先在步骤 07 点击「登录平台」");
|
||||
}
|
||||
|
||||
let avatar = await page.$("#header-avatar");
|
||||
if (!avatar) {
|
||||
await delay(5000);
|
||||
avatar = await page.$("#header-avatar");
|
||||
}
|
||||
if (!avatar) {
|
||||
throw new Error("抖音登录已过期,请重新登录");
|
||||
}
|
||||
|
||||
if (!page.url().includes("content/upload")) {
|
||||
await page.goto(uploadUrl, { waitUntil: "domcontentloaded" });
|
||||
await delay(3000);
|
||||
}
|
||||
|
||||
globalThis.__native?.emitProgress?.("正在上传视频…");
|
||||
await page.waitForSelector('input[type="file"]', { timeout: 60000 });
|
||||
const fileInputs = await page.$$('input[type="file"]');
|
||||
if (!fileInputs.length) throw new Error("未找到视频上传控件");
|
||||
await fileInputs[0].uploadFile(videoPath);
|
||||
await delay(5000);
|
||||
|
||||
globalThis.__native?.emitProgress?.("等待视频处理…");
|
||||
const start = Date.now();
|
||||
let ready = false;
|
||||
while (Date.now() - start < 300000 && !ready) {
|
||||
const titleBox = await page.$('textarea[placeholder*="标题"], input[placeholder*="标题"]');
|
||||
if (titleBox) {
|
||||
try {
|
||||
const disabled = await page.evaluate((el) => el.disabled, titleBox);
|
||||
if (!disabled) ready = true;
|
||||
} catch {
|
||||
ready = true;
|
||||
}
|
||||
}
|
||||
if (!ready) await delay(2000);
|
||||
}
|
||||
|
||||
globalThis.__native?.emitProgress?.("正在上传封面…");
|
||||
try {
|
||||
await clickIfVisible(page, 'button');
|
||||
const buttons = await page.$$("button");
|
||||
for (const btn of buttons) {
|
||||
const text = await page.evaluate((el) => el.textContent || "", btn);
|
||||
if (String(text).includes("选择封面")) {
|
||||
await btn.click();
|
||||
await delay(2000);
|
||||
break;
|
||||
}
|
||||
}
|
||||
const imgInput = await page.$('input[type="file"][accept*="image"]');
|
||||
if (imgInput) {
|
||||
await imgInput.uploadFile(coverPath);
|
||||
await delay(3000);
|
||||
}
|
||||
const doneBtns = await page.$$("button");
|
||||
for (const btn of doneBtns) {
|
||||
const text = await page.evaluate((el) => el.textContent || "", btn);
|
||||
if (String(text).trim() === "完成") {
|
||||
await btn.click();
|
||||
await delay(2000);
|
||||
break;
|
||||
}
|
||||
}
|
||||
} catch (e) {
|
||||
console.warn("封面上传跳过:", e.message);
|
||||
}
|
||||
|
||||
globalThis.__native?.emitProgress?.("正在填写标题与话题…");
|
||||
const titleText = String(title || "").slice(0, 30);
|
||||
await typeIntoFirst(
|
||||
page,
|
||||
[
|
||||
'input[placeholder*="填写作品标题"]',
|
||||
'input[placeholder*="标题"]',
|
||||
'textarea[placeholder*="标题"]',
|
||||
],
|
||||
titleText,
|
||||
);
|
||||
|
||||
const tagList = Array.isArray(tags) ? tags : [];
|
||||
if (tagList.length) {
|
||||
const descOk = await typeIntoFirst(
|
||||
page,
|
||||
[
|
||||
'textarea[placeholder*="描述"]',
|
||||
'textarea[placeholder*="简介"]',
|
||||
'motion[contenteditable="true"]',
|
||||
'div[contenteditable="true"]',
|
||||
],
|
||||
"",
|
||||
);
|
||||
if (descOk) {
|
||||
for (const tag of tagList) {
|
||||
const t = String(tag).trim();
|
||||
if (!t) continue;
|
||||
const clean = t.startsWith("#") ? t : `#${t}`;
|
||||
await page.keyboard.type(clean, { delay: 40 });
|
||||
await page.keyboard.press("Space");
|
||||
await delay(400);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (!autoPublish) {
|
||||
return {
|
||||
success: false,
|
||||
status: "manual_pending",
|
||||
message: "内容已填写,请在浏览器中检查并手动点击发布",
|
||||
videoUrl: page.url(),
|
||||
keepPageOpen: true,
|
||||
};
|
||||
}
|
||||
|
||||
globalThis.__native?.emitProgress?.("正在点击发布…");
|
||||
const publishBtns = await page.$$("button");
|
||||
let clicked = false;
|
||||
for (const btn of publishBtns) {
|
||||
const text = (await page.evaluate((el) => el.textContent || "", btn)).trim();
|
||||
if (text === "发布" || text === "确定发布") {
|
||||
await btn.click();
|
||||
clicked = true;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
if (!clicked) {
|
||||
return {
|
||||
success: false,
|
||||
status: "manual_pending",
|
||||
message: "未找到发布按钮,请手动发布",
|
||||
videoUrl: page.url(),
|
||||
};
|
||||
}
|
||||
|
||||
await delay(5000);
|
||||
return {
|
||||
success: true,
|
||||
status: "success",
|
||||
message: "已提交发布",
|
||||
videoUrl: page.url(),
|
||||
};
|
||||
}
|
||||
|
||||
module.exports = { publishToDouyin };
|
||||
@@ -169,8 +169,36 @@ async function uploadFile(baseUrl, apiKey, filePath) {
|
||||
return fileName;
|
||||
}
|
||||
|
||||
function locateFfmpegBinary() {
|
||||
const fromEnv = process.env.AICLIENT_FFMPEG_PATH;
|
||||
if (fromEnv && fs.existsSync(fromEnv)) return fromEnv;
|
||||
return process.platform === "win32" ? "ffmpeg.exe" : "ffmpeg";
|
||||
}
|
||||
|
||||
function locateFfprobeBinary() {
|
||||
const fromEnv = process.env.AICLIENT_FFPROBE_PATH;
|
||||
if (fromEnv && fs.existsSync(fromEnv)) return fromEnv;
|
||||
const ffmpeg = locateFfmpegBinary();
|
||||
if (ffmpeg && ffmpeg !== "ffmpeg" && ffmpeg !== "ffmpeg.exe") {
|
||||
const dir = path.dirname(ffmpeg);
|
||||
const sibling = path.join(dir, process.platform === "win32" ? "ffprobe.exe" : "ffprobe");
|
||||
if (fs.existsSync(sibling)) return sibling;
|
||||
}
|
||||
return process.platform === "win32" ? "ffprobe.exe" : "ffprobe";
|
||||
}
|
||||
|
||||
function parseDurationFromFfmpegStderr(text) {
|
||||
const m = String(text || "").match(/Duration:\s*(\d+):(\d+):(\d+(?:\.\d+)?)/);
|
||||
if (!m) return 0;
|
||||
const h = parseFloat(m[1]);
|
||||
const min = parseFloat(m[2]);
|
||||
const s = parseFloat(m[3]);
|
||||
if (!Number.isFinite(h + min + s)) return 0;
|
||||
return h * 3600 + min * 60 + s;
|
||||
}
|
||||
|
||||
function probeAudioDuration(audioPath) {
|
||||
const ffprobe = process.env.AICLIENT_FFPROBE_PATH || "ffprobe";
|
||||
const ffprobe = locateFfprobeBinary();
|
||||
const r = spawnSync(
|
||||
ffprobe,
|
||||
[
|
||||
@@ -184,9 +212,19 @@ function probeAudioDuration(audioPath) {
|
||||
],
|
||||
{ encoding: "utf8", windowsHide: true },
|
||||
);
|
||||
if (r.status !== 0) return 0;
|
||||
const n = parseFloat(String(r.stdout || "").trim());
|
||||
return Number.isFinite(n) && n > 0 ? n : 0;
|
||||
if (r.status === 0) {
|
||||
const n = parseFloat(String(r.stdout || "").trim());
|
||||
if (Number.isFinite(n) && n > 0) return n;
|
||||
}
|
||||
|
||||
const ffmpeg = locateFfmpegBinary();
|
||||
const r2 = spawnSync(ffmpeg, ["-i", audioPath], {
|
||||
encoding: "utf8",
|
||||
windowsHide: true,
|
||||
});
|
||||
const fromStderr = parseDurationFromFfmpegStderr(r2.stderr || "");
|
||||
if (fromStderr > 0) return fromStderr;
|
||||
return 0;
|
||||
}
|
||||
|
||||
async function createTask(config, videoFileName, audioFileName, audioDuration) {
|
||||
@@ -379,6 +417,14 @@ globalThis.__nodejsMain = async function (params) {
|
||||
if (!Number.isFinite(audioDuration) || audioDuration <= 0) {
|
||||
audioDuration = probeAudioDuration(audioPath);
|
||||
}
|
||||
if (audioDuration <= 0) {
|
||||
return {
|
||||
success: false,
|
||||
error:
|
||||
"无法获取音频时长。云端口播需将时长传给 RunningHub(请安装 ffmpeg/ffprobe,或升级客户端后重试)",
|
||||
};
|
||||
}
|
||||
const durationSec = Math.ceil(audioDuration);
|
||||
|
||||
try {
|
||||
const videoFileName = await uploadFile(config.baseUrl, config.apiKey, videoPath);
|
||||
@@ -387,7 +433,7 @@ globalThis.__nodejsMain = async function (params) {
|
||||
config,
|
||||
videoFileName,
|
||||
audioFileName,
|
||||
audioDuration,
|
||||
durationSec,
|
||||
);
|
||||
const done = await waitForTask(config, taskId);
|
||||
const remoteUrl = pickResultUrl(done.results);
|
||||
@@ -398,7 +444,12 @@ globalThis.__nodejsMain = async function (params) {
|
||||
};
|
||||
}
|
||||
const localPath = await ensureLocalVideo(remoteUrl);
|
||||
return { success: true, videoPath: localPath, taskId };
|
||||
return {
|
||||
success: true,
|
||||
videoPath: localPath,
|
||||
taskId,
|
||||
audioDuration: durationSec,
|
||||
};
|
||||
} catch (e) {
|
||||
return { success: false, error: e.message || String(e) };
|
||||
}
|
||||
|
||||
288
scripts/nodejs/subtitle_bgm_generate.js
Normal file
288
scripts/nodejs/subtitle_bgm_generate.js
Normal file
@@ -0,0 +1,288 @@
|
||||
"use strict";
|
||||
|
||||
/**
|
||||
* 自动生成字幕并混 BGM(对齐 Electron autoGenerateSubtitleAndBGM)
|
||||
*/
|
||||
const fs = require("fs");
|
||||
const path = require("path");
|
||||
const os = require("os");
|
||||
const { spawnSync } = require("child_process");
|
||||
|
||||
const pipelineNative = require("./pipeline_native.js");
|
||||
const desktopConfig = require("./desktop_config.js");
|
||||
|
||||
const OUTPUT_DIR = path.join(os.tmpdir(), "aiclient-subtitle-bgm");
|
||||
|
||||
function ensureDir() {
|
||||
fs.mkdirSync(OUTPUT_DIR, { recursive: true });
|
||||
return OUTPUT_DIR;
|
||||
}
|
||||
|
||||
function makeOutputPath(prefix, ext = "mp4") {
|
||||
return path.join(ensureDir(), `${prefix}_${Date.now()}.${ext}`);
|
||||
}
|
||||
|
||||
function execFfmpeg(args) {
|
||||
const ffmpeg = pipelineNative.locateFfmpeg();
|
||||
if (!ffmpeg) {
|
||||
throw new Error("未找到 ffmpeg,请配置 AICLIENT_FFMPEG_PATH 或 src-tauri/binaries/ffmpeg.exe");
|
||||
}
|
||||
const r = spawnSync(ffmpeg, args, { encoding: "utf8", windowsHide: true });
|
||||
if (r.status !== 0) {
|
||||
throw new Error((r.stderr || r.stdout || "").trim() || `ffmpeg 退出码 ${r.status}`);
|
||||
}
|
||||
}
|
||||
|
||||
function probeVideoDuration(videoPath) {
|
||||
const ffprobe = pipelineNative.locateFfmpeg()?.replace(/ffmpeg(\.exe)?$/i, "ffprobe$1");
|
||||
if (ffprobe && fs.existsSync(ffprobe)) {
|
||||
const r = spawnSync(
|
||||
ffprobe,
|
||||
[
|
||||
"-v",
|
||||
"error",
|
||||
"-show_entries",
|
||||
"format=duration",
|
||||
"-of",
|
||||
"default=noprint_wrappers=1:nokey=1",
|
||||
videoPath,
|
||||
],
|
||||
{ encoding: "utf8", windowsHide: true },
|
||||
);
|
||||
if (r.status === 0) {
|
||||
const n = parseFloat(String(r.stdout || "").trim());
|
||||
if (Number.isFinite(n) && n > 0) return n;
|
||||
}
|
||||
}
|
||||
const ffmpeg = pipelineNative.locateFfmpeg();
|
||||
const r2 = spawnSync(ffmpeg, ["-i", videoPath], { encoding: "utf8", windowsHide: true });
|
||||
const stderr = r2.stderr || "";
|
||||
const m = stderr.match(/Duration:\s*(\d+):(\d+):(\d+(?:\.\d+)?)/);
|
||||
if (m) {
|
||||
return Number(m[1]) * 3600 + Number(m[2]) * 60 + Number(m[3]);
|
||||
}
|
||||
return 0;
|
||||
}
|
||||
|
||||
function splitScriptLines(text) {
|
||||
return String(text || "")
|
||||
.split(/(?<=[。!?.!?])\s*|\n+/)
|
||||
.map((s) => s.trim())
|
||||
.filter(Boolean);
|
||||
}
|
||||
|
||||
function alignScriptToRecords(script, records) {
|
||||
const lines = splitScriptLines(script);
|
||||
if (!lines.length || !records.length) return records;
|
||||
|
||||
if (lines.length === records.length) {
|
||||
return records.map((r, i) => ({ ...r, text: lines[i] }));
|
||||
}
|
||||
|
||||
const startMs = records[0].start;
|
||||
const endMs = records[records.length - 1].end;
|
||||
const total = Math.max(endMs - startMs, lines.length * 2000);
|
||||
const step = total / lines.length;
|
||||
return lines.map((text, i) => ({
|
||||
text,
|
||||
start: Math.round(startMs + i * step),
|
||||
end: Math.round(startMs + (i + 1) * step),
|
||||
}));
|
||||
}
|
||||
|
||||
function recordsFromTextEvenly(text, durationSec) {
|
||||
const lines = splitScriptLines(text);
|
||||
if (!lines.length) return [];
|
||||
const totalMs = Math.max(Math.round(durationSec * 1000), lines.length * 1500);
|
||||
const step = totalMs / lines.length;
|
||||
return lines.map((line, i) => ({
|
||||
text: line,
|
||||
start: Math.round(i * step),
|
||||
end: Math.round((i + 1) * step),
|
||||
}));
|
||||
}
|
||||
|
||||
function formatSrtTime(ms) {
|
||||
const h = Math.floor(ms / 3600000);
|
||||
const m = Math.floor((ms % 3600000) / 60000);
|
||||
const s = Math.floor((ms % 60000) / 1000);
|
||||
const msPart = Math.floor(ms % 1000);
|
||||
return `${String(h).padStart(2, "0")}:${String(m).padStart(2, "0")}:${String(s).padStart(2, "0")},${String(msPart).padStart(3, "0")}`;
|
||||
}
|
||||
|
||||
function buildSrtContent(records) {
|
||||
return records
|
||||
.map((r, i) => {
|
||||
const start = formatSrtTime(r.start);
|
||||
const end = formatSrtTime(Math.max(r.end, r.start + 200));
|
||||
return `${i + 1}\n${start} --> ${end}\n${r.text}\n`;
|
||||
})
|
||||
.join("\n");
|
||||
}
|
||||
|
||||
function escapeSubPath(filePath) {
|
||||
return filePath.replace(/\\/g, "/").replace(/:/g, "\\:").replace(/'/g, "\\'");
|
||||
}
|
||||
|
||||
function addSubtitleToVideo(inputVideo, srtPath, forceStyle) {
|
||||
const outputVideo = makeOutputPath("with_subtitle");
|
||||
const style = forceStyle || "FontName=Microsoft YaHei,FontSize=24,PrimaryColour=&H00FFFFFF,OutlineColour=&H00000000,Outline=2,Alignment=2,MarginV=40";
|
||||
const sub = escapeSubPath(srtPath);
|
||||
const vf = `subtitles='${sub}':force_style='${style}'`;
|
||||
execFfmpeg(["-y", "-i", inputVideo, "-vf", vf, "-c:a", "copy", outputVideo]);
|
||||
return outputVideo;
|
||||
}
|
||||
|
||||
function addBgmToVideo(inputVideo, bgmPath, bgmVolume = 30) {
|
||||
const outputVideo = makeOutputPath("with_bgm");
|
||||
const ratio = Number(bgmVolume) / 100;
|
||||
const filter = `[0:a]volume=1.0[a0];[1:a]volume=${ratio}[a1];[a0][a1]amix=inputs=2:duration=first`;
|
||||
execFfmpeg([
|
||||
"-y",
|
||||
"-i",
|
||||
inputVideo,
|
||||
"-stream_loop",
|
||||
"-1",
|
||||
"-i",
|
||||
bgmPath,
|
||||
"-filter_complex",
|
||||
filter,
|
||||
"-c:v",
|
||||
"copy",
|
||||
"-shortest",
|
||||
outputVideo,
|
||||
]);
|
||||
return outputVideo;
|
||||
}
|
||||
|
||||
async function runAsr(audioPath, modelConfig, scriptContent) {
|
||||
const asrMode = modelConfig.asrMode || "online";
|
||||
if (asrMode === "online") {
|
||||
if (!modelConfig.aliyunApiKey) {
|
||||
throw new Error("在线 ASR 需配置 BAILIAN_API_KEY 或 DASHSCOPE_API_KEY");
|
||||
}
|
||||
if (!modelConfig.ossConfig?.bucket) {
|
||||
throw new Error("在线 ASR 需配置 OSS(上传音频供识别)");
|
||||
}
|
||||
globalThis.__native?.emitProgress?.("正在上传音频到 OSS…");
|
||||
const upload = await pipelineNative.aliyunOssUpload(audioPath, modelConfig.ossConfig);
|
||||
if (!upload?.success || !upload.url) {
|
||||
throw new Error(upload?.error || "OSS 上传失败");
|
||||
}
|
||||
globalThis.__native?.emitProgress?.("正在进行语音识别…");
|
||||
const asr = await pipelineNative.aliyunAsrFiletrans(upload.url, {
|
||||
apiKey: modelConfig.aliyunApiKey,
|
||||
model: "qwen3-asr-flash-filetrans",
|
||||
});
|
||||
if (!asr?.success) {
|
||||
throw new Error(asr?.error || "语音识别失败");
|
||||
}
|
||||
let records = Array.isArray(asr.sentences) ? asr.sentences : [];
|
||||
if (!records.length && asr.text) {
|
||||
records = recordsFromTextEvenly(asr.text, 60);
|
||||
}
|
||||
return { text: asr.text || "", records };
|
||||
}
|
||||
|
||||
const info = modelConfig.asrServerInfo;
|
||||
if (!info) {
|
||||
throw new Error("本地 ASR 需配置 ASR_SERVER_URL 或 ASR_SERVER_INFO");
|
||||
}
|
||||
globalThis.__native?.emitProgress?.("正在调用本地语音识别…");
|
||||
const asr = await pipelineNative.localAsr(audioPath, info);
|
||||
if (!asr?.success) {
|
||||
throw new Error(asr?.error || "本地语音识别失败");
|
||||
}
|
||||
let records = Array.isArray(asr.sentences) ? asr.sentences : [];
|
||||
if (!records.length && asr.text) {
|
||||
records = recordsFromTextEvenly(asr.text, 60);
|
||||
}
|
||||
return { text: asr.text || "", records };
|
||||
}
|
||||
|
||||
globalThis.__nodejsMain = async function main(params) {
|
||||
const p = params || {};
|
||||
const inputVideo = String(p.inputVideo || "").trim();
|
||||
if (!inputVideo || !fs.existsSync(inputVideo)) {
|
||||
return { success: false, error: "缺少或找不到输入视频,请先在步骤 02/03 生成并处理视频" };
|
||||
}
|
||||
|
||||
const autoSubtitle = Boolean(p.autoSubtitle);
|
||||
const bgmEnabled = Boolean(p.bgmEnabled);
|
||||
if (!autoSubtitle && !bgmEnabled) {
|
||||
return { success: false, error: "请至少勾选「自动生成字幕」或「添加背景音乐」" };
|
||||
}
|
||||
if (bgmEnabled) {
|
||||
const bgm = String(p.bgmPath || "").trim();
|
||||
if (!bgm || !fs.existsSync(bgm)) {
|
||||
return { success: false, error: "已启用背景音乐,请先选择音乐文件" };
|
||||
}
|
||||
}
|
||||
|
||||
const modelConfig = desktopConfig.buildModelConfig();
|
||||
const check = desktopConfig.validateModelConfig(modelConfig);
|
||||
if (autoSubtitle && !check.ok) {
|
||||
return { success: false, error: check.error };
|
||||
}
|
||||
if (autoSubtitle && (modelConfig.asrMode === "online" || !modelConfig.asrMode)) {
|
||||
const appCheck = desktopConfig.validateModelConfig(modelConfig);
|
||||
if (!appCheck.ok && modelConfig.asrMode === "online") {
|
||||
return { success: false, error: appCheck.error };
|
||||
}
|
||||
}
|
||||
|
||||
let current = inputVideo;
|
||||
let srtPath = "";
|
||||
|
||||
try {
|
||||
if (autoSubtitle) {
|
||||
globalThis.__native?.emitProgress?.("正在提取音频…");
|
||||
const audioPath = await pipelineNative.ffmpegExtractAudio(current);
|
||||
const scriptContent = String(p.scriptContent || "").trim();
|
||||
const { records: rawRecords } = await runAsr(audioPath, modelConfig, scriptContent);
|
||||
|
||||
let records = rawRecords;
|
||||
if (p.smartSubtitle !== false && scriptContent) {
|
||||
records = alignScriptToRecords(scriptContent, records);
|
||||
}
|
||||
if (!records.length) {
|
||||
const duration = probeVideoDuration(current);
|
||||
const fallbackText = scriptContent || " ";
|
||||
records = recordsFromTextEvenly(fallbackText, duration || 30);
|
||||
}
|
||||
if (!records.length) {
|
||||
return { success: false, error: "未识别到语音内容,无法生成字幕" };
|
||||
}
|
||||
|
||||
srtPath = makeOutputPath("subtitle", "srt");
|
||||
fs.writeFileSync(srtPath, buildSrtContent(records), "utf8");
|
||||
|
||||
globalThis.__native?.emitProgress?.("正在烧录字幕到视频…");
|
||||
const forceStyle = String(p.subtitleForceStyle || "").trim();
|
||||
current = addSubtitleToVideo(current, srtPath, forceStyle || undefined);
|
||||
pipelineNative.deleteFile(audioPath);
|
||||
}
|
||||
|
||||
if (bgmEnabled) {
|
||||
globalThis.__native?.emitProgress?.("正在混合背景音乐…");
|
||||
current = addBgmToVideo(current, p.bgmPath, p.bgmVolume ?? 30);
|
||||
}
|
||||
|
||||
return {
|
||||
success: true,
|
||||
videoPath: current,
|
||||
srtPath: srtPath || null,
|
||||
message: autoSubtitle && bgmEnabled
|
||||
? "字幕与背景音乐处理完成"
|
||||
: autoSubtitle
|
||||
? "字幕生成完成"
|
||||
: "背景音乐添加完成",
|
||||
};
|
||||
} catch (e) {
|
||||
return {
|
||||
success: false,
|
||||
error: e.message || String(e),
|
||||
partialVideo: current !== inputVideo ? current : null,
|
||||
};
|
||||
}
|
||||
};
|
||||
174
scripts/nodejs/title_tags_generate.js
Normal file
174
scripts/nodejs/title_tags_generate.js
Normal file
@@ -0,0 +1,174 @@
|
||||
"use strict";
|
||||
|
||||
/**
|
||||
* 生成标题、标签、分组关键词(对齐 Electron ipAgent:generateTitleTags)
|
||||
*/
|
||||
const pipelineNative = require("./pipeline_native.js");
|
||||
const desktopConfig = require("./desktop_config.js");
|
||||
|
||||
const KEYWORD_GROUPS = ["重点词/成语词", "描述词", "行动词", "情感词"];
|
||||
|
||||
const DEFAULT_TITLE_TAG_PROMPT = `你是短视频标题与标签助手。分析以下文案内容,生成:
|
||||
1. 一个最吸引人的标题(不超过30字,若需多个建议可写在 title 字段内用换行分隔)
|
||||
2. 8-10 个相关话题标签(带 # 号)
|
||||
3. 四个分组关键词,每组 0-2 个词:重点词/成语词、描述词、行动词、情感词
|
||||
|
||||
文案内容:
|
||||
{{content}}
|
||||
|
||||
请只返回 JSON,不要 markdown,格式如下:
|
||||
{
|
||||
"title": "标题",
|
||||
"tags": ["#标签1", "#标签2"],
|
||||
"keywords": {
|
||||
"重点词/成语词": ["词1"],
|
||||
"描述词": [],
|
||||
"行动词": [],
|
||||
"情感词": []
|
||||
}
|
||||
}`;
|
||||
|
||||
function buildPrompt(template, content) {
|
||||
let prompt = String(template || "").trim();
|
||||
if (!prompt) prompt = DEFAULT_TITLE_TAG_PROMPT;
|
||||
return prompt
|
||||
.replace(/\{\{content\}\}/g, content)
|
||||
.replace(/\{content\}/g, content);
|
||||
}
|
||||
|
||||
function cleanJsonText(raw) {
|
||||
let text = String(raw || "").trim();
|
||||
text = text.replace(/```json\s*/gi, "");
|
||||
text = text.replace(/```\s*/g, "");
|
||||
text = text.trim();
|
||||
text = text.replace(/"/g, '"').replace(/"/g, '"');
|
||||
text = text.replace(/'/g, "'").replace(/'/g, "'");
|
||||
text = text.replace(/,/g, ",");
|
||||
const m = text.match(/\{[\s\S]*\}/);
|
||||
if (m) text = m[0];
|
||||
return text;
|
||||
}
|
||||
|
||||
function normalizeTags(tags) {
|
||||
if (Array.isArray(tags)) {
|
||||
return tags
|
||||
.map((t) => String(t || "").trim())
|
||||
.filter(Boolean)
|
||||
.join(", ");
|
||||
}
|
||||
return String(tags || "").trim();
|
||||
}
|
||||
|
||||
function normalizeKeywordGroup(val) {
|
||||
if (Array.isArray(val)) {
|
||||
return val
|
||||
.map((w) => String(w || "").trim())
|
||||
.filter(Boolean)
|
||||
.join("\n");
|
||||
}
|
||||
if (typeof val === "string") {
|
||||
return val
|
||||
.split(/[,,\n]/)
|
||||
.map((w) => w.trim())
|
||||
.filter(Boolean)
|
||||
.join("\n");
|
||||
}
|
||||
return "";
|
||||
}
|
||||
|
||||
function parseTitleTagsContent(content) {
|
||||
let title = "";
|
||||
let tags = "";
|
||||
const keywords = {};
|
||||
|
||||
try {
|
||||
const parsed = JSON.parse(cleanJsonText(content));
|
||||
title = String(parsed.title || "").trim();
|
||||
tags = normalizeTags(parsed.tags);
|
||||
const kw = parsed.keywords;
|
||||
if (kw && typeof kw === "object" && !Array.isArray(kw)) {
|
||||
for (const group of KEYWORD_GROUPS) {
|
||||
keywords[group] = normalizeKeywordGroup(kw[group]);
|
||||
}
|
||||
} else if (Array.isArray(kw)) {
|
||||
keywords["重点词/成语词"] = normalizeKeywordGroup(kw);
|
||||
} else if (typeof kw === "string") {
|
||||
keywords["重点词/成语词"] = normalizeKeywordGroup(kw);
|
||||
}
|
||||
} catch {
|
||||
const lines = String(content).split("\n");
|
||||
for (const line of lines) {
|
||||
if (/标题|Title/i.test(line)) {
|
||||
title = (line.split(/[::]/)[1] || "").trim() || line.trim();
|
||||
} else if (/标签|Tags|#/i.test(line)) {
|
||||
tags = (line.split(/[::]/)[1] || "").trim() || line.trim();
|
||||
} else if (/关键词|Keywords/i.test(line)) {
|
||||
keywords["重点词/成语词"] = normalizeKeywordGroup(
|
||||
(line.split(/[::]/)[1] || "").trim(),
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
for (const group of KEYWORD_GROUPS) {
|
||||
if (!keywords[group]) keywords[group] = "";
|
||||
}
|
||||
|
||||
const hasKeywords = KEYWORD_GROUPS.some((g) => keywords[g]);
|
||||
if (!title && !tags && !hasKeywords) {
|
||||
return null;
|
||||
}
|
||||
return { title, tags, keywords };
|
||||
}
|
||||
|
||||
globalThis.__nodejsMain = async function main(params) {
|
||||
const p = params || {};
|
||||
const content = String(p.content || p.script || "").trim();
|
||||
if (!content) {
|
||||
return { success: false, error: "请先填写视频文案" };
|
||||
}
|
||||
|
||||
const modelConfig = desktopConfig.buildModelConfig();
|
||||
const check = desktopConfig.validateModelConfig(modelConfig);
|
||||
if (!check.ok) {
|
||||
return { success: false, error: check.error };
|
||||
}
|
||||
|
||||
const prompt = buildPrompt(p.titleTagPrompt, content);
|
||||
|
||||
globalThis.__native?.emitProgress?.("正在生成标题、标签和关键词…");
|
||||
|
||||
const chat = await pipelineNative.openaiChat({
|
||||
apiUrl: modelConfig.apiUrl,
|
||||
apiKey: modelConfig.apiKey,
|
||||
model: modelConfig.apiModelId,
|
||||
messages: [{ role: "user", content: prompt }],
|
||||
temperature: typeof p.temperature === "number" ? p.temperature : 0.7,
|
||||
max_tokens: p.max_tokens || 2000,
|
||||
});
|
||||
|
||||
if (!chat.success || !chat.content) {
|
||||
return { success: false, error: chat.error || "模型返回为空" };
|
||||
}
|
||||
|
||||
const parsed = parseTitleTagsContent(chat.content);
|
||||
if (!parsed) {
|
||||
return {
|
||||
success: false,
|
||||
error: "解析结果为空,请检查模型返回格式",
|
||||
rawContent: chat.content,
|
||||
};
|
||||
}
|
||||
|
||||
return {
|
||||
success: true,
|
||||
title: parsed.title,
|
||||
tags: parsed.tags,
|
||||
keywords: parsed.keywords,
|
||||
titleTags: JSON.stringify({
|
||||
title: parsed.title,
|
||||
tags: parsed.tags,
|
||||
keywords: parsed.keywords,
|
||||
}),
|
||||
};
|
||||
};
|
||||
539
scripts/nodejs/video_edit_process.js
Normal file
539
scripts/nodejs/video_edit_process.js
Normal file
@@ -0,0 +1,539 @@
|
||||
/**
|
||||
* 视频编辑后处理(对齐 Electron ipAgent:autoProcessVideo)
|
||||
* - processSilenceDetection:自动剪气口
|
||||
* - processVideoMixCut:画中画 / 混剪
|
||||
* - processGreenScreen:绿幕替换
|
||||
*/
|
||||
const fs = require("fs");
|
||||
const path = require("path");
|
||||
const os = require("os");
|
||||
const { spawnSync } = require("child_process");
|
||||
|
||||
const IMAGE_EXT = new Set([".jpg", ".jpeg", ".png", ".webp", ".bmp", ".gif"]);
|
||||
|
||||
function locateFfmpegBinary() {
|
||||
const fromEnv = process.env.AICLIENT_FFMPEG_PATH;
|
||||
if (fromEnv && fs.existsSync(fromEnv)) return fromEnv;
|
||||
return process.platform === "win32" ? "ffmpeg.exe" : "ffmpeg";
|
||||
}
|
||||
|
||||
function locateFfprobeBinary() {
|
||||
const fromEnv = process.env.AICLIENT_FFPROBE_PATH;
|
||||
if (fromEnv && fs.existsSync(fromEnv)) return fromEnv;
|
||||
const ffmpeg = locateFfmpegBinary();
|
||||
const dir = path.dirname(ffmpeg);
|
||||
const sibling = path.join(dir, process.platform === "win32" ? "ffprobe.exe" : "ffprobe");
|
||||
if (fs.existsSync(sibling)) return sibling;
|
||||
return process.platform === "win32" ? "ffprobe.exe" : "ffprobe";
|
||||
}
|
||||
|
||||
function execFfmpeg(args) {
|
||||
const ffmpeg = locateFfmpegBinary();
|
||||
const r = spawnSync(ffmpeg, args, { encoding: "utf8", windowsHide: true });
|
||||
if (r.status !== 0) {
|
||||
const err = (r.stderr || r.stdout || "").trim();
|
||||
throw new Error(err || `ffmpeg 退出码 ${r.status}`);
|
||||
}
|
||||
}
|
||||
|
||||
function ensureOutputDir() {
|
||||
const dir = path.join(os.tmpdir(), "aiclient-video-edit");
|
||||
fs.mkdirSync(dir, { recursive: true });
|
||||
return dir;
|
||||
}
|
||||
|
||||
function makeOutputPath(prefix, ext = "mp4") {
|
||||
return path.join(ensureOutputDir(), `${prefix}_${Date.now()}.${ext}`);
|
||||
}
|
||||
|
||||
function parseDurationHms(text) {
|
||||
const marker = "Duration:";
|
||||
const idx = text.indexOf(marker);
|
||||
if (idx < 0) return 0;
|
||||
const rest = text.slice(idx + marker.length).trim();
|
||||
const timePart = rest.split(",")[0].trim();
|
||||
const parts = timePart.split(":").map(Number);
|
||||
if (parts.length < 3) return 0;
|
||||
const [h, m, s] = parts;
|
||||
if (![h, m, s].every((n) => Number.isFinite(n))) return 0;
|
||||
return h * 3600 + m * 60 + s;
|
||||
}
|
||||
|
||||
function probeVideoDuration(videoPath) {
|
||||
const ffprobe = locateFfprobeBinary();
|
||||
const r = spawnSync(
|
||||
ffprobe,
|
||||
[
|
||||
"-v",
|
||||
"error",
|
||||
"-show_entries",
|
||||
"format=duration",
|
||||
"-of",
|
||||
"default=noprint_wrappers=1:nokey=1",
|
||||
videoPath,
|
||||
],
|
||||
{ encoding: "utf8", windowsHide: true },
|
||||
);
|
||||
if (r.status === 0) {
|
||||
const n = parseFloat(String(r.stdout || "").trim());
|
||||
if (Number.isFinite(n) && n > 0) return n;
|
||||
}
|
||||
const ffmpeg = locateFfmpegBinary();
|
||||
const r2 = spawnSync(ffmpeg, ["-i", videoPath], {
|
||||
encoding: "utf8",
|
||||
windowsHide: true,
|
||||
});
|
||||
return parseDurationHms(r2.stderr || "");
|
||||
}
|
||||
|
||||
function probeVideoResolution(videoPath) {
|
||||
const ffprobe = locateFfprobeBinary();
|
||||
const r = spawnSync(
|
||||
ffprobe,
|
||||
[
|
||||
"-v",
|
||||
"error",
|
||||
"-select_streams",
|
||||
"v:0",
|
||||
"-show_entries",
|
||||
"stream=width,height",
|
||||
"-of",
|
||||
"csv=p=0:s=x",
|
||||
videoPath,
|
||||
],
|
||||
{ encoding: "utf8", windowsHide: true },
|
||||
);
|
||||
if (r.status === 0) {
|
||||
const line = String(r.stdout || "").trim();
|
||||
const m = line.match(/^(\d+)x(\d+)$/);
|
||||
if (m) {
|
||||
return { width: Number(m[1]), height: Number(m[2]) };
|
||||
}
|
||||
}
|
||||
return { width: 1920, height: 1080 };
|
||||
}
|
||||
|
||||
function isImageFile(filePath) {
|
||||
return IMAGE_EXT.has(path.extname(filePath).toLowerCase());
|
||||
}
|
||||
|
||||
function processSilenceDetection(inputVideo, opts = {}) {
|
||||
const silenceThreshold = Number(opts.silenceThreshold ?? -40);
|
||||
const silenceDuration = Number(opts.silenceDuration ?? 1);
|
||||
const minPauseDuration = Number(opts.minPauseDuration ?? 0.15);
|
||||
const minPauseDurationMs = Math.round(minPauseDuration * 1000);
|
||||
const outputVideo = makeOutputPath("silence");
|
||||
const audioFilter = `silenceremove=stop_periods=-1:stop_duration=${silenceDuration}:stop_threshold=${silenceThreshold}dB,adelay=${minPauseDurationMs}ms|${minPauseDurationMs}ms`;
|
||||
execFfmpeg([
|
||||
"-i",
|
||||
inputVideo,
|
||||
"-af",
|
||||
audioFilter,
|
||||
"-c:v",
|
||||
"copy",
|
||||
"-y",
|
||||
outputVideo,
|
||||
]);
|
||||
return {
|
||||
outputVideo,
|
||||
message: `已删除超过 ${silenceDuration} 秒且低于 ${silenceThreshold}dB 的停顿`,
|
||||
};
|
||||
}
|
||||
|
||||
function processGreenScreen(inputVideo, backgroundImage) {
|
||||
const outputVideo = makeOutputPath("greenscreen");
|
||||
const filterComplex = [
|
||||
"[1:v][0:v]scale2ref=flags=lanczos[bg][vid]",
|
||||
"[vid]format=yuva444p,chromakey=0x00FF00:0.28:0.05,chromakey=0x40FF40:0.12:0.15[fg]",
|
||||
"[bg][fg]overlay=0:0:shortest=1,unsharp=3:3:0.5:3:3:0.5,format=yuv420p[out]",
|
||||
].join(";");
|
||||
execFfmpeg([
|
||||
"-i",
|
||||
inputVideo,
|
||||
"-loop",
|
||||
"1",
|
||||
"-i",
|
||||
backgroundImage,
|
||||
"-filter_complex",
|
||||
filterComplex,
|
||||
"-map",
|
||||
"[out]",
|
||||
"-map",
|
||||
"0:a?",
|
||||
"-c:v",
|
||||
"libx264",
|
||||
"-preset",
|
||||
"medium",
|
||||
"-crf",
|
||||
"18",
|
||||
"-c:a",
|
||||
"aac",
|
||||
"-b:a",
|
||||
"128k",
|
||||
"-shortest",
|
||||
"-y",
|
||||
outputVideo,
|
||||
]);
|
||||
return { outputVideo, message: "绿幕替换完成" };
|
||||
}
|
||||
|
||||
/** 对齐 Electron ipAgent:processVideoMixCut */
|
||||
function processVideoMixCut({
|
||||
inputVideo,
|
||||
replacements,
|
||||
outputPath,
|
||||
videoResolution,
|
||||
videoDuration,
|
||||
displayMode = "pip",
|
||||
}) {
|
||||
if (!replacements?.length) {
|
||||
throw new Error("混剪替换点为空");
|
||||
}
|
||||
for (const r of replacements) {
|
||||
if (!r.materialPath || !fs.existsSync(r.materialPath)) {
|
||||
throw new Error(`素材文件不存在: ${r.materialPath || "(空)"}`);
|
||||
}
|
||||
}
|
||||
|
||||
let filterComplex = "";
|
||||
let inputFiles = [inputVideo];
|
||||
let currentStream = "[0:v]";
|
||||
|
||||
const adjustedReplacements = replacements.map((r, i) => {
|
||||
let actualEndTime = r.startTime + Math.min(r.duration, r.materialDuration);
|
||||
for (let j = i + 1; j < replacements.length; j++) {
|
||||
const nextR = replacements[j];
|
||||
if (nextR.startTime < actualEndTime) {
|
||||
actualEndTime = nextR.startTime;
|
||||
}
|
||||
}
|
||||
return { ...r, actualEndTime };
|
||||
});
|
||||
|
||||
for (let i = 0; i < adjustedReplacements.length; i++) {
|
||||
const r = adjustedReplacements[i];
|
||||
const inputIndex = i + 1;
|
||||
const materialStream = `[${inputIndex}:v]`;
|
||||
const trimmedMaterialStream = `[m_trim${i}]`;
|
||||
const processedMaterialStream = `[m${i}]`;
|
||||
const mode = r.displayMode || displayMode || "pip";
|
||||
let scaleFilter = "";
|
||||
let overlayParam = "";
|
||||
|
||||
if (mode === "fullscreen") {
|
||||
scaleFilter = `scale=${videoResolution.width}:${videoResolution.height}:force_original_aspect_ratio=increase,crop=${videoResolution.width}:${videoResolution.height},boxblur=25:2`;
|
||||
overlayParam = "0:0";
|
||||
} else {
|
||||
const pipSizePercent = r.pipSizePercent || 30;
|
||||
const pipWidth = Math.round((videoResolution.width * pipSizePercent) / 100);
|
||||
const pipHeight = Math.round((videoResolution.height * pipSizePercent) / 100);
|
||||
const pipScaleMode = r.pipScaleMode || "fit";
|
||||
let pipScaleFilter = "";
|
||||
if (pipScaleMode === "fit") {
|
||||
pipScaleFilter = `scale=${pipWidth}:${pipHeight}:force_original_aspect_ratio=decrease`;
|
||||
} else if (pipScaleMode === "fill") {
|
||||
pipScaleFilter = `scale=${pipWidth}:${pipHeight}:force_original_aspect_ratio=increase,crop=${pipWidth}:${pipHeight}`;
|
||||
} else {
|
||||
pipScaleFilter = `scale=${pipWidth}:${pipHeight}`;
|
||||
}
|
||||
const pipPos = r.pipPosition || "bottom-right";
|
||||
let pipX = 0;
|
||||
let pipY = 0;
|
||||
switch (pipPos) {
|
||||
case "top-left":
|
||||
pipX = 10;
|
||||
pipY = 10;
|
||||
break;
|
||||
case "top-center":
|
||||
pipX = (videoResolution.width - pipWidth) / 2;
|
||||
pipY = 10;
|
||||
break;
|
||||
case "top-right":
|
||||
pipX = videoResolution.width - pipWidth - 10;
|
||||
pipY = 10;
|
||||
break;
|
||||
case "center-left":
|
||||
pipX = 10;
|
||||
pipY = (videoResolution.height - pipHeight) / 2;
|
||||
break;
|
||||
case "center":
|
||||
pipX = (videoResolution.width - pipWidth) / 2;
|
||||
pipY = (videoResolution.height - pipHeight) / 2;
|
||||
break;
|
||||
case "center-right":
|
||||
pipX = videoResolution.width - pipWidth - 10;
|
||||
pipY = (videoResolution.height - pipHeight) / 2;
|
||||
break;
|
||||
case "bottom-left":
|
||||
pipX = 10;
|
||||
pipY = videoResolution.height - pipHeight - 10;
|
||||
break;
|
||||
case "bottom-center":
|
||||
pipX = (videoResolution.width - pipWidth) / 2;
|
||||
pipY = videoResolution.height - pipHeight - 10;
|
||||
break;
|
||||
case "bottom-right":
|
||||
default:
|
||||
pipX = videoResolution.width - pipWidth - 10;
|
||||
pipY = videoResolution.height - pipHeight - 10;
|
||||
break;
|
||||
}
|
||||
scaleFilter = pipScaleFilter;
|
||||
overlayParam = `${Math.round(pipX)}:${Math.round(pipY)}`;
|
||||
}
|
||||
|
||||
const actualDuration = Math.min(r.duration, r.materialDuration);
|
||||
const isImage = r.isImage ?? isImageFile(r.materialPath);
|
||||
|
||||
if (isImage) {
|
||||
const fpsFilter = "fps=25";
|
||||
const setptsFilter = `setpts=PTS-STARTPTS+${r.startTime.toFixed(3)}/TB`;
|
||||
filterComplex += `${materialStream}${fpsFilter},${setptsFilter}${trimmedMaterialStream};`;
|
||||
if (mode === "fullscreen") {
|
||||
const originalMinimized = r.originalVideoMinimized;
|
||||
if (originalMinimized?.enabled) {
|
||||
const fullscreenScaleFilter = `scale=${videoResolution.width}:${videoResolution.height}:force_original_aspect_ratio=increase,crop=${videoResolution.width}:${videoResolution.height}`;
|
||||
filterComplex += `${trimmedMaterialStream}${fullscreenScaleFilter}${processedMaterialStream};`;
|
||||
} else {
|
||||
const simpleScaleFilter = `scale=${videoResolution.width}:${videoResolution.height}:force_original_aspect_ratio=decrease`;
|
||||
filterComplex += `${trimmedMaterialStream}${simpleScaleFilter}${processedMaterialStream};`;
|
||||
}
|
||||
} else {
|
||||
filterComplex += `${trimmedMaterialStream}${scaleFilter}${processedMaterialStream};`;
|
||||
}
|
||||
} else {
|
||||
const trimFilter = `trim=start=${(r.materialStartOffset || 0).toFixed(3)}:duration=${actualDuration.toFixed(3)}`;
|
||||
const setptsFilter = `setpts=PTS-STARTPTS+${r.startTime.toFixed(3)}/TB`;
|
||||
filterComplex += `${materialStream}${trimFilter},${setptsFilter}${trimmedMaterialStream};`;
|
||||
if (mode === "fullscreen") {
|
||||
const originalMinimized = r.originalVideoMinimized;
|
||||
if (originalMinimized?.enabled) {
|
||||
const fullscreenScaleFilter = `scale=${videoResolution.width}:${videoResolution.height}:force_original_aspect_ratio=increase,crop=${videoResolution.width}:${videoResolution.height}`;
|
||||
filterComplex += `${trimmedMaterialStream}${fullscreenScaleFilter}${processedMaterialStream};`;
|
||||
} else {
|
||||
const simpleScaleFilter = `scale=${videoResolution.width}:${videoResolution.height}:force_original_aspect_ratio=decrease`;
|
||||
filterComplex += `${trimmedMaterialStream}${simpleScaleFilter}${processedMaterialStream};`;
|
||||
}
|
||||
} else {
|
||||
filterComplex += `${trimmedMaterialStream}${scaleFilter}${processedMaterialStream};`;
|
||||
}
|
||||
}
|
||||
|
||||
const outputStream = `[v${i}]`;
|
||||
const enableExpr = `gte(t,${r.startTime.toFixed(3)})*lt(t,${r.actualEndTime.toFixed(3)})`;
|
||||
|
||||
if (mode === "fullscreen") {
|
||||
const originalMinimized = r.originalVideoMinimized;
|
||||
if (originalMinimized?.enabled) {
|
||||
const { shape, position, sizePercent } = originalMinimized;
|
||||
const originalSize = Math.floor(videoResolution.width * (sizePercent / 100));
|
||||
const splitStream1 = `[split${i}_1]`;
|
||||
const splitStream2 = `[split${i}_2]`;
|
||||
filterComplex += `${currentStream}split=2${splitStream1}${splitStream2};`;
|
||||
const origStream = `[orig${i}]`;
|
||||
let originalScaled = `${splitStream1}scale=${originalSize}:${originalSize}:force_original_aspect_ratio=increase,crop=${originalSize}:${originalSize}`;
|
||||
if (shape === "circle") {
|
||||
const radius = originalSize / 2;
|
||||
originalScaled += `,format=rgba,geq=r='r(X,Y)':g='g(X,Y)':b='b(X,Y)':a='if(lte(hypot(X-${radius},Y-${radius}),${radius}),255,0)'`;
|
||||
}
|
||||
originalScaled += origStream;
|
||||
filterComplex += `${originalScaled};`;
|
||||
const tmpStream = `[tmp${i}]`;
|
||||
filterComplex += `${splitStream2}${processedMaterialStream}overlay=0:0:enable='${enableExpr}'${tmpStream};`;
|
||||
const padding = 50;
|
||||
let x = 0;
|
||||
let y = 0;
|
||||
switch (position) {
|
||||
case "top-left":
|
||||
x = padding;
|
||||
y = padding;
|
||||
break;
|
||||
case "top-right":
|
||||
x = videoResolution.width - originalSize - padding;
|
||||
y = padding;
|
||||
break;
|
||||
case "bottom-left":
|
||||
x = padding;
|
||||
y = videoResolution.height - originalSize - padding;
|
||||
break;
|
||||
case "bottom-right":
|
||||
x = videoResolution.width - originalSize - padding;
|
||||
y = videoResolution.height - originalSize - padding;
|
||||
break;
|
||||
case "center":
|
||||
x = (videoResolution.width - originalSize) / 2;
|
||||
y = (videoResolution.height - originalSize) / 2;
|
||||
break;
|
||||
default:
|
||||
break;
|
||||
}
|
||||
filterComplex += `${tmpStream}${origStream}overlay=${Math.round(x)}:${Math.round(y)}:enable='${enableExpr}'${outputStream};`;
|
||||
} else {
|
||||
const blurredBgStream = `[blurred_bg${i}]`;
|
||||
filterComplex += `${currentStream}boxblur=25:2:enable='${enableExpr}'${blurredBgStream};`;
|
||||
filterComplex += `${blurredBgStream}${processedMaterialStream}overlay=(W-w)/2:(H-h)/2:enable='${enableExpr}'${outputStream};`;
|
||||
}
|
||||
} else {
|
||||
filterComplex += `${currentStream}${processedMaterialStream}overlay=${overlayParam}:enable='${enableExpr}'${outputStream};`;
|
||||
}
|
||||
inputFiles.push(r.materialPath);
|
||||
currentStream = outputStream;
|
||||
}
|
||||
|
||||
filterComplex = filterComplex.slice(0, -1);
|
||||
filterComplex += `; ${currentStream}trim=start=0:duration=${videoDuration}[final_video]`;
|
||||
|
||||
const ffmpegArgs = [
|
||||
...inputFiles.flatMap((f) => ["-i", f]),
|
||||
"-filter_complex",
|
||||
filterComplex,
|
||||
"-map",
|
||||
"[final_video]",
|
||||
"-map",
|
||||
"0:a?",
|
||||
"-c:a",
|
||||
"copy",
|
||||
"-c:v",
|
||||
"libx264",
|
||||
"-preset",
|
||||
"medium",
|
||||
"-shortest",
|
||||
"-y",
|
||||
outputPath,
|
||||
];
|
||||
execFfmpeg(ffmpegArgs);
|
||||
return { outputVideo: outputPath, message: "混剪处理完成" };
|
||||
}
|
||||
|
||||
function normalizeReplacements(raw) {
|
||||
if (!Array.isArray(raw)) return [];
|
||||
return raw
|
||||
.map((r) => ({
|
||||
startTime: Number(r.startTime),
|
||||
duration: Number(r.duration),
|
||||
materialPath: String(r.materialPath || "").trim(),
|
||||
materialDuration: Number(r.materialDuration),
|
||||
materialStartOffset: Number(r.materialStartOffset || 0),
|
||||
displayMode: r.displayMode,
|
||||
pipPosition: r.pipPosition,
|
||||
pipSizePercent: r.pipSizePercent,
|
||||
pipScaleMode: r.pipScaleMode,
|
||||
isImage: r.isImage,
|
||||
originalVideoMinimized: r.originalVideoMinimized,
|
||||
}))
|
||||
.filter(
|
||||
(r) =>
|
||||
Number.isFinite(r.startTime) &&
|
||||
Number.isFinite(r.duration) &&
|
||||
r.duration > 0 &&
|
||||
r.materialPath &&
|
||||
Number.isFinite(r.materialDuration) &&
|
||||
r.materialDuration > 0,
|
||||
);
|
||||
}
|
||||
|
||||
function pickReplacementsFromSettings(settings, videoDuration) {
|
||||
if (!settings || typeof settings !== "object") return [];
|
||||
if (Array.isArray(settings.replacements) && settings.replacements.length) {
|
||||
return normalizeReplacements(settings.replacements);
|
||||
}
|
||||
const simple = settings.simplePip;
|
||||
if (simple?.materialPath && fs.existsSync(simple.materialPath)) {
|
||||
const matDur =
|
||||
Number(simple.materialDuration) > 0
|
||||
? Number(simple.materialDuration)
|
||||
: isImageFile(simple.materialPath)
|
||||
? videoDuration
|
||||
: probeVideoDuration(simple.materialPath);
|
||||
const startTime = Number(simple.startTime || 0);
|
||||
const duration = Number(simple.duration || videoDuration);
|
||||
return normalizeReplacements([
|
||||
{
|
||||
startTime,
|
||||
duration,
|
||||
materialPath: simple.materialPath,
|
||||
materialDuration: matDur,
|
||||
materialStartOffset: Number(simple.materialStartOffset || 0),
|
||||
displayMode: simple.displayMode || settings.displayMode || "pip",
|
||||
pipPosition: simple.pipPosition || "bottom-right",
|
||||
pipSizePercent: simple.pipSizePercent ?? 30,
|
||||
pipScaleMode: simple.pipScaleMode || "fit",
|
||||
isImage: simple.isImage ?? isImageFile(simple.materialPath),
|
||||
},
|
||||
]);
|
||||
}
|
||||
return [];
|
||||
}
|
||||
|
||||
globalThis.__nodejsMain = async function main(params) {
|
||||
const p = params || {};
|
||||
const inputVideo = String(p.inputVideo || "").trim();
|
||||
if (!inputVideo || !fs.existsSync(inputVideo)) {
|
||||
return { success: false, error: "缺少或找不到输入视频" };
|
||||
}
|
||||
|
||||
const steps = [];
|
||||
let current = inputVideo;
|
||||
|
||||
try {
|
||||
if (p.autoCutBreath) {
|
||||
globalThis.__native?.emitProgress?.("正在剪气口…");
|
||||
const r = processSilenceDetection(current, {
|
||||
silenceThreshold: p.silenceThreshold,
|
||||
silenceDuration: p.silenceDuration,
|
||||
minPauseDuration: p.minPauseDuration,
|
||||
});
|
||||
current = r.outputVideo;
|
||||
steps.push({ step: "silence", ...r });
|
||||
}
|
||||
|
||||
if (p.pipInPicture) {
|
||||
const settings = p.mixCutSettings || null;
|
||||
const replacements = pickReplacementsFromSettings(
|
||||
settings,
|
||||
probeVideoDuration(current),
|
||||
);
|
||||
if (!replacements.length) {
|
||||
return {
|
||||
success: false,
|
||||
error:
|
||||
"已启用画中画,但未配置混剪素材。请在本地配置 videoMixCutSettings(含 replacements 或 simplePip),或使用「选择画中画素材」",
|
||||
};
|
||||
}
|
||||
globalThis.__native?.emitProgress?.("正在混剪/画中画…");
|
||||
const videoDuration = probeVideoDuration(current);
|
||||
const videoResolution = probeVideoResolution(current);
|
||||
const outputPath = makeOutputPath("mixcut");
|
||||
const r = processVideoMixCut({
|
||||
inputVideo: current,
|
||||
replacements,
|
||||
outputPath,
|
||||
videoResolution,
|
||||
videoDuration,
|
||||
displayMode: settings?.displayMode || "pip",
|
||||
});
|
||||
current = r.outputVideo;
|
||||
steps.push({ step: "mixcut", ...r });
|
||||
}
|
||||
|
||||
if (p.greenScreen) {
|
||||
const bg = String(p.backgroundImage || "").trim();
|
||||
if (!bg || !fs.existsSync(bg)) {
|
||||
return { success: false, error: "已启用绿幕切换,请先上传替换背景图" };
|
||||
}
|
||||
globalThis.__native?.emitProgress?.("正在绿幕替换…");
|
||||
const r = processGreenScreen(current, bg);
|
||||
current = r.outputVideo;
|
||||
steps.push({ step: "greenscreen", ...r });
|
||||
}
|
||||
|
||||
return {
|
||||
success: true,
|
||||
videoPath: current,
|
||||
steps,
|
||||
message: steps.length ? steps[steps.length - 1].message : "未执行任何处理",
|
||||
};
|
||||
} catch (e) {
|
||||
return { success: false, error: e.message || String(e), partialVideo: current };
|
||||
}
|
||||
};
|
||||
84
scripts/nodejs/video_publish.js
Normal file
84
scripts/nodejs/video_publish.js
Normal file
@@ -0,0 +1,84 @@
|
||||
"use strict";
|
||||
|
||||
/**
|
||||
* 多平台视频发布(工作流步骤 07 / 一键自动)
|
||||
*/
|
||||
const { publishToPlatform, PLATFORM_LABELS } = require("./publish_platform.js");
|
||||
|
||||
globalThis.__nodejsMain = async function main(params) {
|
||||
const p = params || {};
|
||||
const platforms = Array.isArray(p.platforms) ? p.platforms : [];
|
||||
const videoPath = String(p.videoPath || "").trim();
|
||||
const coverPath = String(p.coverPath || "").trim();
|
||||
const title = String(p.title || "").trim();
|
||||
const description = String(p.description || title || "").trim();
|
||||
const tags = Array.isArray(p.tags) ? p.tags : [];
|
||||
const autoPublish = Boolean(p.autoPublish);
|
||||
|
||||
if (!platforms.length) {
|
||||
return { success: false, error: "请至少选择一个发布平台" };
|
||||
}
|
||||
if (!videoPath) return { success: false, error: "缺少视频路径" };
|
||||
if (!coverPath) return { success: false, error: "缺少封面路径,请先在步骤 06 生成封面" };
|
||||
if (!title) return { success: false, error: "缺少标题,请先在步骤 04 生成标题" };
|
||||
|
||||
const results = [];
|
||||
for (let i = 0; i < platforms.length; i++) {
|
||||
const item = platforms[i];
|
||||
const platform = item.platform;
|
||||
const accountId = item.accountId;
|
||||
const cookies = item.cookies || [];
|
||||
const label = PLATFORM_LABELS[platform] || platform;
|
||||
globalThis.__native?.emitProgress?.(
|
||||
`正在发布到${label}… (${i + 1}/${platforms.length})`,
|
||||
);
|
||||
try {
|
||||
const r = await publishToPlatform(platform, accountId, cookies, {
|
||||
videoPath,
|
||||
coverPath,
|
||||
title,
|
||||
description,
|
||||
tags,
|
||||
autoPublish,
|
||||
});
|
||||
results.push({
|
||||
platform: label,
|
||||
platformKey: platform,
|
||||
success: Boolean(r.success),
|
||||
pending:
|
||||
r.status === "manual_pending" || r.status === "verification_required",
|
||||
status: r.status || (r.success ? "success" : "failed"),
|
||||
message: r.message || "",
|
||||
videoUrl: r.videoUrl || "",
|
||||
});
|
||||
} catch (e) {
|
||||
results.push({
|
||||
platform: label,
|
||||
platformKey: platform,
|
||||
success: false,
|
||||
pending: false,
|
||||
status: "failed",
|
||||
message: e.message || String(e),
|
||||
});
|
||||
}
|
||||
if (i < platforms.length - 1) {
|
||||
await new Promise((r) => setTimeout(r, 2000));
|
||||
}
|
||||
}
|
||||
|
||||
const ok = results.filter((r) => r.success).length;
|
||||
const pending = results.filter((r) => r.pending).length;
|
||||
const failed = results.length - ok - pending;
|
||||
|
||||
return {
|
||||
success: ok > 0 || pending > 0,
|
||||
results,
|
||||
summary: { ok, pending, failed, total: results.length },
|
||||
message:
|
||||
ok === results.length
|
||||
? "全部发布成功"
|
||||
: pending > 0
|
||||
? `成功 ${ok},待确认 ${pending},失败 ${failed}`
|
||||
: `成功 ${ok},失败 ${failed}`,
|
||||
};
|
||||
};
|
||||
Reference in New Issue
Block a user