货拉拉抢单外置辅助器，货拉拉抢单脚本插件，秒抢订单软件【autojs版】
下载地址：https://www.pan38.com/share.php?code=pvvmX 提取码：8888 【仅供学习参考】
货拉拉抢单脚本插件技术方案，包含核心代码实现和功能解析。请注意：该代码仅供学习Auto.js自动化技术原理，进攻学习参考哈，请不要用于违规用途。
界面监控：通过Auto.js的无障碍服务实时捕获订单列表控件611
智能过滤：结合价格、距离、时间等多维度权重算法优选订单57
防检测机制：随机延迟模拟人工操作，避免频繁请求触发风控412
性能优化：采用非阻塞式事件循环，减少系统资源占用1112
注意事项：
该脚本需要Android 7.0以上系统并开启无障碍服务权限6
实际使用需自行适配不同机型的分辨率和控件结构11
代码语言：txt复制
// 基础配置参数
const CONFIG = {
MIN_PRICE: 50, // 最低接单价格(元)
MAX_DISTANCE: 15, // 最远接单距离(km)
REFRESH_RATE: 500 // 订单列表刷新频率(ms)
};
// 初始化无障碍服务
auto.waitFor();
device.keepScreenOn();
events.observeKey();
// 主程序入口
function main() {
launchApp();
initUI();
startMonitor();
}
// 启动货拉拉司机端APP
function launchApp() {
if(!launch("com.huolala.client")) {
toast("启动货拉拉失败");
exit();
}
sleep(3000);
}
// 初始化悬浮窗控制界面
function initUI() {
let window = floaty.window(
);
window.btnStart.click(() => {
if (isMonitoring) {
stopMonitor();
window.btnStart.text("开始监控");
} else {
startMonitor();
window.btnStart.text("停止监控");
}
});
}
// 订单监控核心逻辑
function startMonitor() {
threads.start(function() {
while (isMonitoring) {
let orders = detectOrders();
if (orders.length > 0) {
processOrders(orders);
}
sleep(CONFIG.REFRESH_RATE);
}
});
}
// 识别订单列表
function detectOrders() {
let orders = [];
let items = className("android.widget.ListView")
.findOne()
.children();
items.forEach(item => {
let priceText = item.findOne(className("android.widget.TextView")
.textMatches(/\d+元/));
let distanceText = item.findOne(className("android.widget.TextView")
.textMatches(/\d+km/));
if (priceText && distanceText) {
let price = parseInt(priceText.text());
let distance = parseFloat(distanceText.text());
if (price >= CONFIG.MIN_PRICE &&
distance <= CONFIG.MAX_DISTANCE) {
orders.push({
view: item,
price: price,
distance: distance
});
}
}
});
return orders;
}
// 处理符合条件的订单
function processOrders(orders) {
orders.forEach(order => {
if (order.view.click()) {
sleep(500);
// 确认抢单按钮点击
let confirmBtn = text("立即抢单").findOne(500);
if (confirmBtn && confirmBtn.click()) {
log("成功抢单: " + order.price + "元/" + order.distance + "km");
}
}
});
}
// 日志记录
function log(msg) {
console.log(msg);
ui.run(() => {
window.logText.text("状态: " + msg);
});
}
main();
代码语言：txt复制/**
* 高级订单过滤算法
* 包含路线分析、价格权重计算等功能
*/
class OrderFilter {
constructor() {
this.historyRoutes = [];
this.priceWeights = {
base: 0.6,
distance: 0.3,
time: 0.1
};
}
// 计算订单综合得分
calculateScore(order) {
let baseScore = order.price * this.priceWeights.base;
let distanceScore = (1 / order.distance) * 100 * this.priceWeights.distance;
let timeScore = this.getTimeFactor() * this.priceWeights.time;
return baseScore + distanceScore + timeScore;
}
// 时间因素计算（高峰时段加权）
getTimeFactor() {
let hour = new Date().getHours();
if (hour >= 7 && hour <= 9) return 1.5; // 早高峰
if (hour >= 17 && hour <= 19) return 1.8; // 晚高峰
if (hour >= 11 && hour <= 13) return 1.2; // 午间
return 1.0;
}
// 路线熟悉度分析
analyzeRoute(route) {
let familiarity = this.historyRoutes.includes(route) ? 1.2 : 0.8;
return familiarity;
}
}
代码语言：txt复制
import requests
import base64
import json
class BaiduOCR:
def __init__(self, api_key, secret_key):
self.api_key = api_key
self.secret_key = secret_key
self.token_url = "https://aip.baidubce.com/oauth/2.0/token"
self.ocr_url = "https://aip.baidubce.com/rest/2.0/ocr/v1/general_basic"
self.access_token = self._get_access_token()
def _get_access_token(self):
params = {
"grant_type": "client_credentials",
"client_id": self.api_key,
"client_secret": self.secret_key
}
response = requests.post(self.token_url, params=params)
return response.json().get("access_token")
def recognize_text(self, image_path):
with open(image_path, "rb") as f:
image_data = base64.b64encode(f.read()).decode()
headers = {"Content-Type": "application/x-www-form-urlencoded"}
payload = {
"access_token": self.access_token,
"image": image_data,
"language_type": "CHN_ENG"
}
response = requests.post(
self.ocr_url,
headers=headers,
data=payload
)
return self._parse_result(response.json())
def _parse_result(self, result):
words_result = result.get("words_result", [])
return "\n".join([item["words"] for item in words_result])
if __name__ == "__main__":
# 使用示例
ocr = BaiduOCR(
api_key="your_api_key",
secret_key="your_secret_key"
)
text = ocr.recognize_text("test.jpg")
print("识别结果：\n", text)