GPT Auto task

根据缓存中的task_queue自动在网页上与chat gpt对话

As of 2023-06-27. See the latest version.

You will need to install an extension such as Tampermonkey, Greasemonkey or Violentmonkey to install this script.

You will need to install an extension such as Tampermonkey or Violentmonkey to install this script.

You will need to install an extension such as Tampermonkey or Violentmonkey to install this script.

You will need to install an extension such as Tampermonkey or Userscripts to install this script.

You will need to install an extension such as Tampermonkey to install this script.

You will need to install a user script manager extension to install this script.

(I already have a user script manager, let me install it!)

You will need to install an extension such as Stylus to install this style.

You will need to install an extension such as Stylus to install this style.

You will need to install an extension such as Stylus to install this style.

You will need to install a user style manager extension to install this style.

You will need to install a user style manager extension to install this style.

You will need to install a user style manager extension to install this style.

(I already have a user style manager, let me install it!)

// ==UserScript==
// @namespace         https://greatest.deepsurf.us/zh-CN/users/1106595-ikkem-lin
// @name              GPT Auto task
// @author            Mark
// @description       根据缓存中的task_queue自动在网页上与chat gpt对话
// @homepageURL       https://github.com/IKKEM-Lin/gpt-auto-task
// @version           0.0.10
// @match             *chat.openai.com/*
// @run-at            document-idle
// ==/UserScript==
(function () {
    "use strict";
    class GPT_ASK_LOOP {
        queue = [];
        abstract = [];
        responds = [];
        checkInterval = 20000;
        account = "";
        downloadBtn = null;
        retrying = false;
        defaultMode = 2;
 
        constructor(account) {
            this.responds = JSON.parse(
                localStorage.getItem("reaction_responds") || "[]"
            );
            const queueCache = JSON.parse(localStorage.getItem("task_queue") || "[]");
            this.abstract = JSON.parse(localStorage.getItem("task_abstract") || "[]");
            const resSnippetIds = this.responds.map((respond) => respond.snippetId);
            this.queue = queueCache.filter((item) => !resSnippetIds.includes(item.id));
            this.account = account || Math.ceil(Math.random() * 1e10).toString(32);
            const btnWrap = document.createElement("div");
            btnWrap.innerHTML = `<button style="padding: 4px 8px;position: fixed;bottom: 20%;right: 8px;border-radius: 4px;background-color: #224466;color: #fff;">下载已生成结果(queue: ${this.queue.length}, res: ${this.responds.length})</button>`;
            this.downloadBtn = btnWrap.querySelector("button");
            this.downloadBtn.onclick = this.handleDownload.bind(this);
            document.body.appendChild(btnWrap);
            this.main();
        }
 
        handleDownload() {
            const respond = JSON.parse(
                localStorage.getItem("reaction_responds") || "[]"
            );
            if (!respond.length) {
                return;
            }
            const result = respond.map((item) => {
                const ele = document.createElement("div");
                ele.innerHTML = item.reaction;
                const res = Array.from(ele.querySelectorAll("code")).map(
                    (el) => el.innerText
                );
                return { ...item, reaction: res };
            });
            const now = new Date();
            this.downloadFile(
                JSON.stringify(result),
                `${now.getFullYear()}-${now.getMonth() + 1
                }-${now.getDate()}-${now.getHours()}${now.getMinutes()}${now.getSeconds()}.json`
            );
        }
 
        downloadFile(data, fileName) {
            const a = document.createElement("a");
            document.body.appendChild(a);
            a.style = "display: none";
            const blob = new Blob([data], {
                type: "application/octet-stream",
            });
            const url = window.URL.createObjectURL(blob);
            a.href = url;
            a.download = fileName;
            a.click();
            window.URL.revokeObjectURL(url);
        }
 
        async report() {
            await fetch("https://gpt-hit.deno.dev/api/update", {
                method: "POST",
                body: JSON.stringify({
                    account: this.account,
                    reaction_count: this.responds.length,
                    queue_count: this.queue.length,
                }),
            }).catch((err) => {
                console.error({ err });
            });
        }
 
        genPrompt(content, step = 1) {
            return step === 1 ? `${localStorage.getItem("mock_prompt"+step)}
 
            ''' ${content} ''' ` : localStorage.getItem("mock_prompt"+step);
        }
 
        getTask() {
            this.report();
            if (this.downloadBtn) {
                this.downloadBtn.innerText = `下载已生成结果(queue: ${this.queue.length}, res: ${this.responds.length})`;
            }
            const task = this.queue[0];
            if (!task) {
                console.log("任务队列为空");
                return;
            }
            return async () => {
                const { article_id, id, content } = task;
                const relatedAbstract = this.abstract.find((item) => item.article_id === article_id)?.content || "";
                console.log(`开始触发 ${article_id}-${id}, ${new Date().toTimeString()}`);
                const promptContent = `
                ${relatedAbstract}

                ${content}
                `
                const prompt1 = this.genPrompt(promptContent, 1);
                const prompt2 = this.genPrompt(promptContent, 2);
                const result1 = await this.trigger(prompt1).catch((err) => {
                    return null
                });
                if (!result1) {
                    return null;
                }
                const result2 = await this.trigger(prompt2).catch((err) => {
                    return null
                });
                if (!result2) {
                    return { articleId: article_id, snippetId: id, reaction: result1 };
                }
                return { articleId: article_id, snippetId: id, reaction: result2 };
                // console.log("result:", result);
            };
        }
 
        saveRespond(respond) {
            const { snippetId } = respond;
            this.responds.push(respond);
            this.queue = this.queue.filter((item) => item.id !== snippetId);
            localStorage.setItem("task_queue", JSON.stringify(this.queue));
            localStorage.setItem("reaction_responds", JSON.stringify(this.responds));
        }
 
        sleep(duration) {
            return new Promise((resolve, reject) => {
                setTimeout(() => {
                    resolve(true);
                }, duration);
            });
        }
 
        trigger(prompt, checkInterval = this.checkInterval) {
            return new Promise((resolve, reject) => {
                const textEl = document.querySelector("#prompt-textarea");
                const submitEl = document.querySelector("#prompt-textarea + button");
                textEl.value = prompt; //`你好, 帮我算下${Math.floor(Math.random() * 10000)}开平方的结果`;
                textEl.dispatchEvent(new Event("input", { bubbles: true }));
                setTimeout(() => {
                    submitEl.click();
 
                    let resCache = null;
                    (async () => {
                        while (true) {
                            await this.sleep(checkInterval);
                            const result = Array.from(document.querySelectorAll("main .group"));
                            const temp = result[result.length - 1];
                            if (!temp) {
                                continue;
                            }
                            if (resCache === temp.innerHTML) {
                                // console.log("匹配,resCache:", resCache);
                                const validateResult = await this.validate(resCache).catch(err => {
                                    reject(null);
                                    return;
                                })
                                if (validateResult === true) {
                                    resolve(resCache);
                                    break;
                                } else if (validateResult === false) {
                                    continue;
                                }
                                reject(null);
                                break;
                            }
                            resCache = temp.innerHTML;
                            console.log(`${checkInterval / 1000}s后再次检查结果`);
                        }
                    })();
                }, 4000);
            });
        }
 
        async validate(innerHTML) {
            const buttons = document.querySelectorAll("form div button.btn-neutral");
            const errorBtn = document.querySelectorAll("form div button.btn-primary");
            // 如果触发gpt-4 3小时25次限制
            if (!buttons[0] && !errorBtn[0] && innerHTML.includes("usage cap")) {
                console.error("触发gpt-4 3小时25次限制,等待10min后重试")
                await this.sleep(10 * 60 * 1000);
                throw new Error("触发gpt-4 3小时25次限制");
            }
            // 如果openAI服务器报错未返回结果
            if (errorBtn[0] && innerHTML.includes("wrong")) {
                if (this.retrying) {
                    this.retrying = false;
                    return true;
                }
                errorBtn[0].click();
                this.retrying = true;
                return false;
            }
            // 如果输出结果未包含code标签
            if (!innerHTML.includes("</code>")) {
                if (this.retrying) {
                    this.retrying = false;
                    return true;
                }
                console.error("未输出yaml结构,重试一次")
                buttons[0].click();
                this.retrying = true;
                return false;
            }
            this.retrying = false;
            // 如果还未完全输出
            if (buttons.length > 1) {
                buttons[buttons.length - 1].click();
                return false;
            }
            return true;
        }
 
        async main(sleepTime = 5000) {
            while (true) {
                // {0: gpt-3.5, 1: gpt-4, 2: gpt-4 mobile}
                const modelNum = +localStorage.getItem("model_number") || this.defaultMode;
                const gpt4btn = document.querySelectorAll("ul > li > button.cursor-pointer")[modelNum];
                
                console.log(`当前模型为:${gpt4btn.innerText}`);
                if (gpt4btn) {
                    gpt4btn.firstChild.click()
                }
                await this.sleep(sleepTime/2);
                if (modelNum===1 && !location.href.endsWith("gpt-4")) {
                    console.log("未切换到gpt-4模式, 5分钟后重试");
                    await this.sleep(5 * 60 * 1000);
                    const newChatBtn = document.querySelector("nav>div.mb-1>a:first-child");
                    newChatBtn.click();
                    continue;
                }
                const task = this.getTask();
                if (!task) {
                    await this.sleep(5 * 60 * 1000);
                    continue;
                }
 
                const result = await task();
                if (result) {
                    this.saveRespond(result);
                }
                console.log(`${sleepTime / 1000}s后将再次触发`);
                const newChatBtn = document.querySelector("nav>div.mb-1>a:first-child");
                newChatBtn.click();
                await this.sleep(sleepTime/2);
            }
        }
    }
 
    function start() {
        const nameEl = document.querySelector(
            "nav > div:last-child > div:last-child"
        )
        const name = nameEl && nameEl.innerText;
        if (name) {
            new GPT_ASK_LOOP(name);
        } else {
            setTimeout(() => {
                start();
            }, 5000);
        }
    }
    start();
 
})();