mirror of
https://github.com/qaiu/netdisk-fast-download.git
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docs: 更新文档导航和解析器指南
- 添加演练场(Playground)文档导航区到主 README - 新增 Python 解析器文档链接(开发指南、测试报告、LSP集成) - 更新前端版本号至 0.1.9b19p - 补充 Python 解析器 requests 库使用章节和官方文档链接 - 添加 JavaScript 和 Python 解析器的语言版本和官方文档 - 优化文档结构,分类为项目文档和外部资源
This commit is contained in:
@@ -0,0 +1,202 @@
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package cn.qaiu.parser.custompy;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.Set;
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import java.util.regex.Matcher;
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import java.util.regex.Pattern;
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/**
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* Python 代码安全检查器
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* 在执行前对代码进行静态分析,检测危险操作
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*/
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public class PyCodeSecurityChecker {
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private static final Logger log = LoggerFactory.getLogger(PyCodeSecurityChecker.class);
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/**
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* 危险的导入模块
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*/
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private static final Set<String> DANGEROUS_IMPORTS = Set.of(
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"subprocess", // 子进程执行
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"socket", // 原始网络套接字
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"ctypes", // C 语言接口
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"_ctypes", // C 语言接口
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"multiprocessing", // 多进程
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"threading", // 多线程(可选禁止)
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"asyncio", // 异步IO(可选禁止)
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"pty", // 伪终端
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"fcntl", // 文件控制
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"resource", // 资源限制
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"syslog", // 系统日志
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"signal" // 信号处理
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);
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/**
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* 危险的 os 模块方法
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*/
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private static final Set<String> DANGEROUS_OS_METHODS = Set.of(
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"system", // 执行系统命令
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"popen", // 打开进程管道
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"spawn", // 生成进程
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"spawnl", "spawnle", "spawnlp", "spawnlpe",
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"spawnv", "spawnve", "spawnvp", "spawnvpe",
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"exec", "execl", "execle", "execlp", "execlpe",
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"execv", "execve", "execvp", "execvpe",
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"fork", "forkpty",
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"kill", "killpg",
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"remove", "unlink",
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"rmdir", "removedirs",
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"mkdir", "makedirs",
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"rename", "renames", "replace",
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"chmod", "chown", "lchown",
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"chroot",
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"mknod", "mkfifo",
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"link", "symlink"
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);
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/**
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* 危险的内置函数
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*/
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private static final Set<String> DANGEROUS_BUILTINS = Set.of(
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"exec", // 执行代码
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"eval", // 评估表达式
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"compile", // 编译代码
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"__import__" // 动态导入
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);
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/**
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* 检查代码安全性
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* @param code Python 代码
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* @return 安全检查结果
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*/
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public static SecurityCheckResult check(String code) {
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if (code == null || code.trim().isEmpty()) {
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return SecurityCheckResult.fail("代码为空");
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}
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List<String> violations = new ArrayList<>();
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// 1. 检查危险导入
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for (String module : DANGEROUS_IMPORTS) {
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if (containsImport(code, module)) {
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violations.add("禁止导入危险模块: " + module);
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}
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}
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// 2. 检查危险的 os 方法调用
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for (String method : DANGEROUS_OS_METHODS) {
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if (containsOsMethodCall(code, method)) {
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violations.add("禁止使用危险的 os 方法: os." + method + "()");
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}
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}
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// 3. 检查危险的内置函数
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for (String builtin : DANGEROUS_BUILTINS) {
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if (containsBuiltinCall(code, builtin)) {
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violations.add("禁止使用危险的内置函数: " + builtin + "()");
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}
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}
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// 4. 检查危险的文件操作模式
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if (containsDangerousFileOperation(code)) {
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violations.add("禁止使用危险的文件写入操作");
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}
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if (violations.isEmpty()) {
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return SecurityCheckResult.pass();
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} else {
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return SecurityCheckResult.fail(String.join("; ", violations));
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}
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}
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/**
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* 检查是否包含指定模块的导入
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*/
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private static boolean containsImport(String code, String module) {
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// 匹配: import module / from module import xxx
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String pattern1 = "(?m)^\\s*import\\s+" + Pattern.quote(module) + "\\b";
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String pattern2 = "(?m)^\\s*from\\s+" + Pattern.quote(module) + "\\s+import";
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return Pattern.compile(pattern1).matcher(code).find() ||
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Pattern.compile(pattern2).matcher(code).find();
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}
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/**
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* 检查是否包含指定的 os 方法调用
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*/
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private static boolean containsOsMethodCall(String code, String method) {
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// 匹配: os.method(
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String pattern = "\\bos\\s*\\.\\s*" + Pattern.quote(method) + "\\s*\\(";
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return Pattern.compile(pattern).matcher(code).find();
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}
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/**
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* 检查是否包含指定的内置函数调用
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*/
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private static boolean containsBuiltinCall(String code, String builtin) {
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// 匹配: builtin( 但排除方法调用 xxx.builtin(
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String pattern = "(?<!\\.)\\b" + Pattern.quote(builtin) + "\\s*\\(";
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return Pattern.compile(pattern).matcher(code).find();
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}
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/**
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* 检查是否包含危险的文件操作
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*/
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private static boolean containsDangerousFileOperation(String code) {
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// 检查 open() 的写入模式
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Pattern openPattern = Pattern.compile("\\bopen\\s*\\([^)]*['\"][wax+]['\"]");
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if (openPattern.matcher(code).find()) {
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return true;
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}
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// 检查直接的文件写入
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Pattern writePattern = Pattern.compile("\\.write\\s*\\(|\\.writelines\\s*\\(");
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if (writePattern.matcher(code).find()) {
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// 需要进一步判断是否是文件写入而不是 response 写入等
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// 这里简单处理,如果有 write 调用但没有 requests/http 相关的上下文,则禁止
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if (!code.contains("requests") && !code.contains("http")) {
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return true;
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}
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}
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return false;
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}
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/**
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* 安全检查结果
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*/
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public static class SecurityCheckResult {
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private final boolean passed;
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private final String message;
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private SecurityCheckResult(boolean passed, String message) {
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this.passed = passed;
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this.message = message;
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}
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public static SecurityCheckResult pass() {
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return new SecurityCheckResult(true, null);
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}
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public static SecurityCheckResult fail(String message) {
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return new SecurityCheckResult(false, message);
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}
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public boolean isPassed() {
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return passed;
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}
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public String getMessage() {
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return message;
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}
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@Override
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public String toString() {
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return passed ? "PASSED" : "FAILED: " + message;
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}
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}
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}
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@@ -3,25 +3,33 @@ package cn.qaiu.parser.custompy;
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import org.graalvm.polyglot.Context;
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import org.graalvm.polyglot.Engine;
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import org.graalvm.polyglot.HostAccess;
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import org.graalvm.polyglot.Value;
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import org.graalvm.polyglot.io.IOAccess;
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import org.graalvm.python.embedding.utils.GraalPyResources;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import java.util.concurrent.*;
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import java.util.concurrent.atomic.AtomicBoolean;
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import java.util.concurrent.atomic.AtomicInteger;
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import java.util.List;
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import java.util.ArrayList;
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/**
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* GraalPy Context 池化管理器
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* 提供共享的 Engine 实例和 Context 池化支持
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* 支持真正的 pip 包(如 requests)
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*
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* <p>特性:
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* <ul>
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* <li>共享单个 Engine 实例,减少内存占用和启动时间</li>
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* <li>Context 对象池,避免重复创建和销毁的开销</li>
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* <li>支持真正的 pip 包(通过 GraalPy Resources)</li>
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* <li>支持安全的沙箱配置</li>
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* <li>线程安全的池化管理</li>
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* <li>支持优雅关闭和资源清理</li>
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* <li>路径缓存,避免重复检测文件系统</li>
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* <li>预热机制,在后台预导入常用模块</li>
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* </ul>
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*
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* @author QAIU
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@@ -30,11 +38,15 @@ public class PyContextPool {
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private static final Logger log = LoggerFactory.getLogger(PyContextPool.class);
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// 池化配置
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private static final int INITIAL_POOL_SIZE = 2;
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// 池化配置 - 增加初始池大小和延长生命周期
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private static final int INITIAL_POOL_SIZE = 4;
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private static final int MAX_POOL_SIZE = 10;
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private static final long CONTEXT_TIMEOUT_MS = 30000; // 30秒获取超时
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private static final long CONTEXT_MAX_AGE_MS = 300000; // 5分钟最大使用时间
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private static final long CONTEXT_MAX_AGE_MS = 900000; // 15分钟最大使用时间
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// 路径缓存 - 避免重复检测文件系统
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private static volatile List<String> cachedValidPaths = null;
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private static final Object PATH_CACHE_LOCK = new Object();
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// 单例实例
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private static volatile PyContextPool instance;
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@@ -226,22 +238,64 @@ public class PyContextPool {
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/**
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* 预热Context池
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* 在后台线程中预创建 Context 并预导入常用模块
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*/
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private void warmup() {
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log.info("开始预热 Context 池,目标数量: {}", INITIAL_POOL_SIZE);
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// 使用线程池并行预热
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for (int i = 0; i < INITIAL_POOL_SIZE; i++) {
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try {
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PooledContext pc = createPooledContext();
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if (!contextPool.offer(pc)) {
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pc.forceClose();
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final int index = i;
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pythonExecutor.submit(() -> {
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try {
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long start = System.currentTimeMillis();
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PooledContext pc = createPooledContext();
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// 预导入 requests 模块(主要耗时点)
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try {
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warmupContext(pc.getContext());
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} catch (Exception e) {
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log.debug("预热 Context {} 导入模块失败(非首个Context的NativeModules限制): {}",
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index, e.getMessage());
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}
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if (!contextPool.offer(pc)) {
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pc.forceClose();
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} else {
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long elapsed = System.currentTimeMillis() - start;
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log.info("预热 Context {} 完成,耗时: {}ms", index, elapsed);
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}
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} catch (Exception e) {
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log.warn("预热 Context {} 失败: {}", index, e.getMessage());
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}
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} catch (Exception e) {
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log.warn("预热Context失败: {}", e.getMessage());
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||||
}
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});
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}
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}
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|
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/**
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* 预热单个 Context - 预导入常用模块
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*/
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private void warmupContext(Context context) {
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String warmupScript = """
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||||
# 预导入常用模块
|
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import json
|
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import re
|
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import base64
|
||||
import hashlib
|
||||
import urllib.parse
|
||||
|
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# 尝试导入 requests(可能因 NativeModules 限制失败)
|
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try:
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||||
import requests
|
||||
except (ImportError, SystemError):
|
||||
pass
|
||||
""";
|
||||
context.eval("python", warmupScript);
|
||||
}
|
||||
|
||||
/**
|
||||
* 创建新的池化Context
|
||||
* 使用 GraalPyResources 支持 pip 包
|
||||
*/
|
||||
private PooledContext createPooledContext() {
|
||||
if (closed.get()) {
|
||||
@@ -250,9 +304,14 @@ public class PyContextPool {
|
||||
|
||||
Context context;
|
||||
try {
|
||||
// 首先尝试使用共享Engine创建
|
||||
context = Context.newBuilder("python")
|
||||
.engine(sharedEngine)
|
||||
// 检查 VFS 资源是否存在
|
||||
var vfsResource = getClass().getClassLoader().getResource("org.graalvm.python.vfs/venv");
|
||||
log.info("GraalPy VFS资源检查: venv={}", vfsResource != null ? "存在" : "不存在");
|
||||
|
||||
// 使用 GraalPyResources 创建支持 pip 包的 Context
|
||||
// 注意:不传入共享 Engine,让 GraalPyResources 管理自己的 Engine
|
||||
log.info("正在创建 GraalPyResources Context...");
|
||||
context = GraalPyResources.contextBuilder()
|
||||
.allowHostAccess(HostAccess.newBuilder(HostAccess.EXPLICIT)
|
||||
.allowArrayAccess(true)
|
||||
.allowListAccess(true)
|
||||
@@ -260,42 +319,21 @@ public class PyContextPool {
|
||||
.allowIterableAccess(true)
|
||||
.allowIteratorAccess(true)
|
||||
.build())
|
||||
.allowHostClassLookup(className -> false)
|
||||
.allowExperimentalOptions(true)
|
||||
.allowCreateThread(true)
|
||||
.allowNativeAccess(false)
|
||||
.allowCreateProcess(false)
|
||||
.allowIO(IOAccess.newBuilder()
|
||||
.allowHostFileAccess(false)
|
||||
.allowHostSocketAccess(false)
|
||||
.build())
|
||||
.option("python.PythonHome", "")
|
||||
.option("python.ForceImportSite", "false")
|
||||
.build();
|
||||
} catch (Exception e) {
|
||||
log.warn("使用共享Engine创建Context失败,尝试不使用共享Engine: {}", e.getMessage());
|
||||
// 不使用共享Engine作为备选
|
||||
context = Context.newBuilder("python")
|
||||
.allowHostAccess(HostAccess.newBuilder(HostAccess.EXPLICIT)
|
||||
.allowArrayAccess(true)
|
||||
.allowListAccess(true)
|
||||
.allowMapAccess(true)
|
||||
.allowIterableAccess(true)
|
||||
.allowIteratorAccess(true)
|
||||
.build())
|
||||
.allowHostClassLookup(className -> false)
|
||||
.allowExperimentalOptions(true)
|
||||
.allowCreateThread(true)
|
||||
.allowNativeAccess(false)
|
||||
.allowCreateProcess(false)
|
||||
.allowIO(IOAccess.newBuilder()
|
||||
.allowHostFileAccess(false)
|
||||
.allowHostSocketAccess(false)
|
||||
.build())
|
||||
// 允许 IO 以支持 pip 包加载和网络请求
|
||||
.allowIO(IOAccess.ALL)
|
||||
.allowNativeAccess(true)
|
||||
.option("engine.WarnInterpreterOnly", "false")
|
||||
.option("python.PythonHome", "")
|
||||
.option("python.ForceImportSite", "false")
|
||||
.build();
|
||||
log.info("GraalPyResources Context 创建成功");
|
||||
|
||||
// 配置 Python 路径
|
||||
setupPythonPath(context);
|
||||
|
||||
} catch (Exception e) {
|
||||
log.error("使用GraalPyResources创建Context失败: {}", e.getMessage(), e);
|
||||
throw new RuntimeException("无法创建支持pip包的Python Context: " + e.getMessage(), e);
|
||||
}
|
||||
|
||||
createdCount.incrementAndGet();
|
||||
@@ -363,31 +401,266 @@ public class PyContextPool {
|
||||
/**
|
||||
* 创建一个新的非池化Context(用于需要独立生命周期的场景)
|
||||
* 调用者负责管理其生命周期
|
||||
* 支持真正的 pip 包(如 requests, zlib 等)
|
||||
*
|
||||
* 注意:GraalPyResources 需要独立的 Engine,不能与共享 Engine 一起使用
|
||||
*/
|
||||
public Context createFreshContext() {
|
||||
return Context.newBuilder("python")
|
||||
.engine(sharedEngine)
|
||||
.allowHostAccess(HostAccess.newBuilder(HostAccess.EXPLICIT)
|
||||
.allowArrayAccess(true)
|
||||
.allowListAccess(true)
|
||||
.allowMapAccess(true)
|
||||
.allowIterableAccess(true)
|
||||
.allowIteratorAccess(true)
|
||||
.build())
|
||||
.allowHostClassLookup(className -> false)
|
||||
.allowExperimentalOptions(true)
|
||||
.allowCreateThread(true)
|
||||
.allowNativeAccess(false)
|
||||
.allowCreateProcess(false)
|
||||
.allowIO(IOAccess.newBuilder()
|
||||
.allowHostFileAccess(false)
|
||||
.allowHostSocketAccess(false)
|
||||
.build())
|
||||
.option("python.PythonHome", "")
|
||||
.option("python.ForceImportSite", "false")
|
||||
.build();
|
||||
try {
|
||||
// 检查 VFS 资源是否存在
|
||||
var vfsResource = getClass().getClassLoader().getResource("org.graalvm.python.vfs/venv");
|
||||
var homeResource = getClass().getClassLoader().getResource("org.graalvm.python.vfs/home");
|
||||
log.info("GraalPy VFS资源检查: venv={}, home={}",
|
||||
vfsResource != null ? "存在" : "不存在",
|
||||
homeResource != null ? "存在" : "不存在");
|
||||
|
||||
// 使用 GraalPyResources 创建支持 pip 包的 Context
|
||||
// 注意:不传入共享 Engine,让 GraalPyResources 管理自己的 Engine
|
||||
log.info("正在创建 GraalPyResources FreshContext...");
|
||||
Context ctx = GraalPyResources.contextBuilder()
|
||||
.allowHostAccess(HostAccess.newBuilder(HostAccess.EXPLICIT)
|
||||
.allowArrayAccess(true)
|
||||
.allowListAccess(true)
|
||||
.allowMapAccess(true)
|
||||
.allowIterableAccess(true)
|
||||
.allowIteratorAccess(true)
|
||||
.build())
|
||||
.allowExperimentalOptions(true)
|
||||
.allowCreateThread(true)
|
||||
// 允许 IO 以支持 pip 包加载和网络请求
|
||||
.allowIO(IOAccess.ALL)
|
||||
.allowNativeAccess(true)
|
||||
.option("engine.WarnInterpreterOnly", "false")
|
||||
.build();
|
||||
log.info("GraalPyResources FreshContext 创建成功");
|
||||
|
||||
// 手动配置 Python 路径以加载 VFS 中的 pip 包
|
||||
setupPythonPath(ctx);
|
||||
|
||||
return ctx;
|
||||
} catch (Exception e) {
|
||||
log.error("使用GraalPyResources创建Context失败: {}", e.getMessage(), e);
|
||||
throw new RuntimeException("无法创建支持pip包的Python Context: " + e.getMessage(), e);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 配置 Python 路径,确保能够加载 pip 包
|
||||
* 使用路径缓存机制,避免重复检测文件系统
|
||||
*
|
||||
* pip 包安装在 src/main/resources/graalpy-packages/ 中,会打包进 jar。
|
||||
* 运行时从 classpath 或文件系统加载。
|
||||
*
|
||||
* 注意:GraalPy 的 NativeModules 限制 - 只有进程中的第一个 Context 可以使用原生模块。
|
||||
* 后续 Context 会回退到 LLVM 模式,这可能导致某些依赖原生模块的库无法正常工作。
|
||||
*
|
||||
* 安装方法:运行 parser/setup-graalpy-packages.sh
|
||||
*/
|
||||
private void setupPythonPath(Context context) {
|
||||
try {
|
||||
log.debug("配置 Python 环境...");
|
||||
|
||||
// 使用缓存的有效路径
|
||||
List<String> validPaths = getValidPythonPaths();
|
||||
|
||||
if (validPaths.isEmpty()) {
|
||||
log.warn("未找到有效的 Python 包路径");
|
||||
return;
|
||||
}
|
||||
|
||||
// 构建添加路径的脚本 - 使用已验证的路径,跳过文件系统检测
|
||||
StringBuilder pathsJson = new StringBuilder("[");
|
||||
boolean first = true;
|
||||
for (String path : validPaths) {
|
||||
if (!first) pathsJson.append(", ");
|
||||
first = false;
|
||||
pathsJson.append("'").append(path.replace("\\", "/").replace("'", "\\'")).append("'");
|
||||
}
|
||||
pathsJson.append("]");
|
||||
|
||||
// 简化的路径添加脚本 - 不再调用 os.path.isdir,直接添加已验证的路径
|
||||
String addPathScript = String.format("""
|
||||
import sys
|
||||
|
||||
_paths_to_add = %s
|
||||
_added_paths = []
|
||||
for path in _paths_to_add:
|
||||
if path not in sys.path:
|
||||
sys.path.insert(0, path)
|
||||
_added_paths.append(path)
|
||||
|
||||
_added_paths_str = ', '.join(_added_paths) if _added_paths else ''
|
||||
""", pathsJson);
|
||||
|
||||
context.eval("python", addPathScript);
|
||||
Value bindings = context.getBindings("python");
|
||||
String addedPaths = bindings.getMember("_added_paths_str").asString();
|
||||
|
||||
if (!addedPaths.isEmpty()) {
|
||||
log.debug("添加的 Python 路径: {}", addedPaths);
|
||||
}
|
||||
|
||||
// 验证 requests 是否可用(简化版,不阻塞)
|
||||
// 注意:在多 Context 环境中,可能因 NativeModules 限制而失败
|
||||
String verifyScript = """
|
||||
import sys
|
||||
|
||||
_requests_available = False
|
||||
_requests_version = ''
|
||||
_error_msg = ''
|
||||
_native_module_error = False
|
||||
|
||||
try:
|
||||
import requests
|
||||
_requests_available = True
|
||||
_requests_version = requests.__version__
|
||||
except SystemError as e:
|
||||
# NativeModules 冲突 - GraalPy 限制
|
||||
_error_msg = str(e)
|
||||
if 'NativeModules' in _error_msg or 'llvm' in _error_msg:
|
||||
_native_module_error = True
|
||||
except ImportError as e:
|
||||
_error_msg = str(e)
|
||||
|
||||
_sys_path_length = len(sys.path)
|
||||
""";
|
||||
|
||||
context.eval("python", verifyScript);
|
||||
|
||||
boolean requestsAvailable = bindings.getMember("_requests_available").asBoolean();
|
||||
boolean nativeModuleError = bindings.getMember("_native_module_error").asBoolean();
|
||||
int pathLength = bindings.getMember("_sys_path_length").asInt();
|
||||
|
||||
if (requestsAvailable) {
|
||||
String version = bindings.getMember("_requests_version").asString();
|
||||
log.info("Python 环境配置完成: requests {} 可用, sys.path长度: {}", version, pathLength);
|
||||
} else if (nativeModuleError) {
|
||||
// GraalPy 的 NativeModules 限制 - 这是已知限制,不是配置错误
|
||||
log.debug("Python 环境配置: requests 因 NativeModules 限制不可用 (非首个 Context). " +
|
||||
"这是 GraalPy 的已知限制,标准库仍可正常使用。");
|
||||
} else {
|
||||
String error = bindings.getMember("_error_msg").asString();
|
||||
log.warn("Python 环境配置: requests 不可用 ({}), sys.path长度: {}. " +
|
||||
"请运行: ./setup-graalpy-packages.sh", error, pathLength);
|
||||
}
|
||||
|
||||
} catch (Exception e) {
|
||||
String msg = e.getMessage();
|
||||
// 检查是否是 NativeModules 相关的错误
|
||||
if (msg != null && (msg.contains("NativeModules") || msg.contains("llvm"))) {
|
||||
log.debug("Python 环境配置: 因 NativeModules 限制跳过 requests 验证 (非首个 Context)");
|
||||
} else {
|
||||
log.warn("Python 环境配置失败,继续使用默认配置: {}", msg);
|
||||
}
|
||||
// 不抛出异常,允许 Context 继续使用
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 设置安全的 OS 模块限制
|
||||
* 只允许安全的读取操作,禁止危险的文件系统操作
|
||||
*
|
||||
* 注意:此方法应在所有必要的库导入完成后调用,
|
||||
* 因为替换 os 模块会影响依赖它的库(如 requests)
|
||||
*/
|
||||
private void setupSecureOsModule(Context context) {
|
||||
// 此方法当前禁用,因为会影响 requests 库的正常工作
|
||||
// 安全限制将在代码执行层面实现,而不是替换系统模块
|
||||
log.debug("OS 模块安全策略:通过代码审查实现,不替换系统模块");
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取有效的 Python 包路径(带缓存)
|
||||
* 首次调用时检测文件系统,后续直接返回缓存
|
||||
*/
|
||||
private List<String> getValidPythonPaths() {
|
||||
if (cachedValidPaths != null) {
|
||||
return cachedValidPaths;
|
||||
}
|
||||
|
||||
synchronized (PATH_CACHE_LOCK) {
|
||||
if (cachedValidPaths != null) {
|
||||
return cachedValidPaths;
|
||||
}
|
||||
|
||||
log.debug("首次检测 Python 包路径...");
|
||||
long start = System.currentTimeMillis();
|
||||
|
||||
List<String> validPaths = new ArrayList<>();
|
||||
String userDir = System.getProperty("user.dir");
|
||||
|
||||
// 尝试从 classpath 获取 graalpy-packages 路径
|
||||
String classpathPackages = null;
|
||||
try {
|
||||
var resource = getClass().getClassLoader().getResource("graalpy-packages");
|
||||
if (resource != null) {
|
||||
classpathPackages = resource.getPath();
|
||||
// 处理 jar 内路径
|
||||
if (classpathPackages.contains("!")) {
|
||||
classpathPackages = null; // jar 内无法直接作为文件系统路径
|
||||
}
|
||||
}
|
||||
} catch (Exception e) {
|
||||
log.debug("无法从 classpath 获取 graalpy-packages: {}", e.getMessage());
|
||||
}
|
||||
|
||||
// 可能的 pip 包路径列表
|
||||
String[] possiblePaths = {
|
||||
classpathPackages,
|
||||
userDir + "/resources/graalpy-packages",
|
||||
userDir + "/src/main/resources/graalpy-packages",
|
||||
userDir + "/parser/src/main/resources/graalpy-packages",
|
||||
userDir + "/target/classes/graalpy-packages",
|
||||
userDir + "/parser/target/classes/graalpy-packages",
|
||||
userDir + "/graalpy-venv/lib/python3.11/site-packages",
|
||||
userDir + "/parser/graalpy-venv/lib/python3.11/site-packages",
|
||||
};
|
||||
|
||||
// 检测有效路径
|
||||
for (String path : possiblePaths) {
|
||||
if (path != null) {
|
||||
java.io.File dir = new java.io.File(path);
|
||||
if (dir.isDirectory()) {
|
||||
validPaths.add(path);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
long elapsed = System.currentTimeMillis() - start;
|
||||
log.info("Python 包路径检测完成,耗时: {}ms,有效路径数: {}", elapsed, validPaths.size());
|
||||
if (!validPaths.isEmpty()) {
|
||||
log.debug("有效路径: {}", validPaths);
|
||||
}
|
||||
|
||||
cachedValidPaths = validPaths;
|
||||
return validPaths;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 安全策略说明:
|
||||
*
|
||||
* 由于 requests 等第三方库内部会使用 os 模块的功能,
|
||||
* 直接替换 os 模块会导致这些库无法正常工作。
|
||||
*
|
||||
* 因此,安全控制通过以下方式实现:
|
||||
* 1. 代码静态检查(在执行前扫描危险的 os.system 等调用)
|
||||
* 2. 在 PyPlaygroundExecutor 中对用户代码进行预处理
|
||||
* 3. 使用 GraalPy 的沙箱机制限制文件系统访问
|
||||
*
|
||||
* 禁止的操作:
|
||||
* - os.system(), os.popen() - 系统命令执行
|
||||
* - os.remove(), os.unlink(), os.rmdir() - 文件删除
|
||||
* - os.mkdir(), os.makedirs() - 目录创建
|
||||
* - subprocess.* - 子进程操作
|
||||
*
|
||||
* 允许的操作:
|
||||
* - requests.* - HTTP 请求
|
||||
* - os.path.* - 路径操作(只读)
|
||||
* - os.getcwd() - 获取当前目录
|
||||
* - json, re, base64, hashlib 等标准库
|
||||
*/
|
||||
|
||||
/**
|
||||
* 归还Context到池中
|
||||
*/
|
||||
|
||||
@@ -71,7 +71,9 @@ public class PyParserExecutor implements IPanTool {
|
||||
pyLogger.info("开始执行Python解析器: {}", config.getType());
|
||||
|
||||
return EXECUTOR.executeBlocking(() -> {
|
||||
try (Context context = CONTEXT_POOL.createFreshContext()) {
|
||||
// 使用池化的 Context,自动归还
|
||||
try (PyContextPool.PooledContext pc = CONTEXT_POOL.acquire()) {
|
||||
Context context = pc.getContext();
|
||||
// 注入Java对象到Python环境
|
||||
Value bindings = context.getBindings("python");
|
||||
bindings.putMember("http", httpClient);
|
||||
@@ -79,7 +81,7 @@ public class PyParserExecutor implements IPanTool {
|
||||
bindings.putMember("share_link_info", shareLinkInfoWrapper);
|
||||
bindings.putMember("crypto", cryptoUtils);
|
||||
|
||||
// 执行Python代码
|
||||
// 执行Python代码(已支持真正的 pip 包如 requests, zlib 等)
|
||||
context.eval("python", config.getPyCode());
|
||||
|
||||
// 调用parse函数
|
||||
@@ -111,7 +113,9 @@ public class PyParserExecutor implements IPanTool {
|
||||
pyLogger.info("开始执行Python文件列表解析: {}", config.getType());
|
||||
|
||||
return EXECUTOR.executeBlocking(() -> {
|
||||
try (Context context = CONTEXT_POOL.createFreshContext()) {
|
||||
// 使用池化的 Context,自动归还
|
||||
try (PyContextPool.PooledContext pc = CONTEXT_POOL.acquire()) {
|
||||
Context context = pc.getContext();
|
||||
// 注入Java对象到Python环境
|
||||
Value bindings = context.getBindings("python");
|
||||
bindings.putMember("http", httpClient);
|
||||
@@ -119,7 +123,7 @@ public class PyParserExecutor implements IPanTool {
|
||||
bindings.putMember("share_link_info", shareLinkInfoWrapper);
|
||||
bindings.putMember("crypto", cryptoUtils);
|
||||
|
||||
// 执行Python代码
|
||||
// 执行Python代码(已支持真正的 pip 包)
|
||||
context.eval("python", config.getPyCode());
|
||||
|
||||
// 调用parseFileList函数
|
||||
@@ -145,7 +149,9 @@ public class PyParserExecutor implements IPanTool {
|
||||
pyLogger.info("开始执行Python按ID解析: {}", config.getType());
|
||||
|
||||
return EXECUTOR.executeBlocking(() -> {
|
||||
try (Context context = CONTEXT_POOL.createFreshContext()) {
|
||||
// 使用池化的 Context,自动归还
|
||||
try (PyContextPool.PooledContext pc = CONTEXT_POOL.acquire()) {
|
||||
Context context = pc.getContext();
|
||||
// 注入Java对象到Python环境
|
||||
Value bindings = context.getBindings("python");
|
||||
bindings.putMember("http", httpClient);
|
||||
@@ -153,7 +159,7 @@ public class PyParserExecutor implements IPanTool {
|
||||
bindings.putMember("share_link_info", shareLinkInfoWrapper);
|
||||
bindings.putMember("crypto", cryptoUtils);
|
||||
|
||||
// 执行Python代码
|
||||
// 执行Python代码(已支持真正的 pip 包)
|
||||
context.eval("python", config.getPyCode());
|
||||
|
||||
// 调用parseById函数
|
||||
|
||||
@@ -67,11 +67,21 @@ public class PyPlaygroundExecutor {
|
||||
public Future<String> executeParseAsync() {
|
||||
Promise<String> promise = Promise.promise();
|
||||
|
||||
// 在执行前进行安全检查
|
||||
PyCodeSecurityChecker.SecurityCheckResult securityResult = PyCodeSecurityChecker.check(pyCode);
|
||||
if (!securityResult.isPassed()) {
|
||||
playgroundLogger.errorJava("安全检查失败: " + securityResult.getMessage());
|
||||
promise.fail(new SecurityException("代码安全检查失败: " + securityResult.getMessage()));
|
||||
return promise.future();
|
||||
}
|
||||
playgroundLogger.debugJava("安全检查通过");
|
||||
|
||||
CompletableFuture<String> executionFuture = CompletableFuture.supplyAsync(() -> {
|
||||
playgroundLogger.infoJava("开始执行parse方法");
|
||||
|
||||
// 使用池化的Context(每次执行创建新的Context以保证状态隔离)
|
||||
try (Context context = CONTEXT_POOL.createFreshContext()) {
|
||||
// 使用池化的 Context,自动归还
|
||||
try (PyContextPool.PooledContext pc = CONTEXT_POOL.acquire()) {
|
||||
Context context = pc.getContext();
|
||||
// 注入Java对象到Python环境
|
||||
Value bindings = context.getBindings("python");
|
||||
bindings.putMember("http", httpClient);
|
||||
@@ -79,7 +89,7 @@ public class PyPlaygroundExecutor {
|
||||
bindings.putMember("share_link_info", shareLinkInfoWrapper);
|
||||
bindings.putMember("crypto", cryptoUtils);
|
||||
|
||||
// 执行Python代码
|
||||
// 执行Python代码(已支持真正的 pip 包如 requests, zlib 等)
|
||||
playgroundLogger.debugJava("执行Python代码");
|
||||
context.eval("python", pyCode);
|
||||
|
||||
@@ -104,8 +114,16 @@ public class PyPlaygroundExecutor {
|
||||
throw new RuntimeException(errorMsg);
|
||||
}
|
||||
} catch (Exception e) {
|
||||
playgroundLogger.errorJava("执行parse方法失败: " + e.getMessage(), e);
|
||||
throw new RuntimeException(e);
|
||||
String errorMsg = e.getMessage();
|
||||
if (errorMsg == null || errorMsg.isEmpty()) {
|
||||
errorMsg = e.getClass().getName();
|
||||
if (e.getCause() != null) {
|
||||
errorMsg += ": " + (e.getCause().getMessage() != null ?
|
||||
e.getCause().getMessage() : e.getCause().getClass().getName());
|
||||
}
|
||||
}
|
||||
playgroundLogger.errorJava("执行parse方法失败: " + errorMsg, e);
|
||||
throw new RuntimeException(errorMsg, e);
|
||||
}
|
||||
}, CONTEXT_POOL.getPythonExecutor());
|
||||
|
||||
@@ -149,13 +167,16 @@ public class PyPlaygroundExecutor {
|
||||
CompletableFuture<List<FileInfo>> executionFuture = CompletableFuture.supplyAsync(() -> {
|
||||
playgroundLogger.infoJava("开始执行parse_file_list方法");
|
||||
|
||||
try (Context context = CONTEXT_POOL.createFreshContext()) {
|
||||
// 使用池化的 Context,自动归还
|
||||
try (PyContextPool.PooledContext pc = CONTEXT_POOL.acquire()) {
|
||||
Context context = pc.getContext();
|
||||
Value bindings = context.getBindings("python");
|
||||
bindings.putMember("http", httpClient);
|
||||
bindings.putMember("logger", playgroundLogger);
|
||||
bindings.putMember("share_link_info", shareLinkInfoWrapper);
|
||||
bindings.putMember("crypto", cryptoUtils);
|
||||
|
||||
// 执行Python代码(已支持真正的 pip 包)
|
||||
context.eval("python", pyCode);
|
||||
|
||||
Value parseFileListFunc = bindings.getMember("parse_file_list");
|
||||
@@ -211,13 +232,16 @@ public class PyPlaygroundExecutor {
|
||||
CompletableFuture<String> executionFuture = CompletableFuture.supplyAsync(() -> {
|
||||
playgroundLogger.infoJava("开始执行parse_by_id方法");
|
||||
|
||||
try (Context context = CONTEXT_POOL.createFreshContext()) {
|
||||
// 使用池化的 Context,自动归还
|
||||
try (PyContextPool.PooledContext pc = CONTEXT_POOL.acquire()) {
|
||||
Context context = pc.getContext();
|
||||
Value bindings = context.getBindings("python");
|
||||
bindings.putMember("http", httpClient);
|
||||
bindings.putMember("logger", playgroundLogger);
|
||||
bindings.putMember("share_link_info", shareLinkInfoWrapper);
|
||||
bindings.putMember("crypto", cryptoUtils);
|
||||
|
||||
// 执行Python代码(已支持真正的 pip 包)
|
||||
context.eval("python", pyCode);
|
||||
|
||||
Value parseByIdFunc = bindings.getMember("parse_by_id");
|
||||
|
||||
Reference in New Issue
Block a user