cillin
16b54d5ccc
Migrate all agent roles from Legacy to EvoAgent architecture: - fundamentals_analyst, technical_analyst, sentiment_analyst, valuation_analyst - risk_manager, portfolio_manager Key changes: - EvoAgent now supports Portfolio Manager compatibility methods (_make_decision, get_decisions, get_portfolio_state, load_portfolio_state, update_portfolio) - Add UnifiedAgentFactory for centralized agent creation - ToolGuard with batch approval API and WebSocket broadcast - Legacy agents marked deprecated (AnalystAgent, RiskAgent, PMAgent) - Remove backend/agents/compat.py migration shim - Add run_id alongside workspace_id for semantic clarity - Complete integration test coverage (13 tests) - All smoke tests passing for 6 agent roles Constraint: Must maintain backward compatibility with existing run configs Constraint: Memory support must work with EvoAgent (no fallback to Legacy) Rejected: Separate PM implementation for EvoAgent | unified approach cleaner Confidence: high Scope-risk: broad Directive: EVO_AGENT_IDS env var still respected but defaults to all roles Not-tested: Kubernetes sandbox mode for skill execution
97 lines
2.6 KiB
Python
97 lines
2.6 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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简化测试 - 验证沙盒执行器基本功能
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"""
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import os
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import sys
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import warnings
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "backend"))
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os.environ["SKILL_SANDBOX_MODE"] = "none"
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def test_import():
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"""测试导入"""
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print("测试 1: 导入沙盒执行器")
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from backend.tools.sandboxed_executor import get_sandbox, SkillSandbox
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# 重置单例
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SkillSandbox._instance = None
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sandbox = get_sandbox()
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print(f" ✓ 模式: {sandbox.current_mode}")
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print(f" ✓ 后端: {type(sandbox._backend).__name__}")
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return sandbox
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def test_no_sandbox_backend():
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"""测试无沙盒后端"""
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print("\n测试 2: 无沙盒后端")
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from backend.tools.sandboxed_executor import NoSandboxBackend
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backend = NoSandboxBackend()
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# 测试函数名解析
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test_cases = [
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("build_dcf_report", "dcf_report"),
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("build_ev_ebitda_report", "multiple_valuation_report"),
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("build_owner_earnings_report", "owner_earnings_report"),
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("build_residual_income_report", "multiple_valuation_report"),
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]
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for func_name, expected_script in test_cases:
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script_name = backend._get_script_name(func_name)
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assert script_name == expected_script, f"期望 {expected_script}, 实际 {script_name}"
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print(f" ✓ {func_name} -> {script_name}")
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def test_module_resolution():
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"""测试模块解析"""
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print("\n测试 3: 模块路径解析")
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from backend.tools.sandboxed_executor import NoSandboxBackend
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backend = NoSandboxBackend()
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skill_name = "builtin/valuation_review"
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function_name = "build_dcf_report"
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module_path = f"backend.skills.{skill_name.replace('/', '.')}.scripts"
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script_name = backend._get_script_name(function_name)
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submodule_path = f"{module_path}.{script_name}"
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print(f" 技能名: {skill_name}")
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print(f" 函数名: {function_name}")
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print(f" 模块路径: {submodule_path}")
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# 尝试导入
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try:
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module = __import__(submodule_path, fromlist=[function_name])
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func = getattr(module, function_name)
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print(f" ✓ 成功导入函数: {func.__name__}")
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except Exception as e:
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print(f" ✗ 导入失败: {e}")
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def main():
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print("=" * 50)
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print("沙盒执行器简化测试")
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print("=" * 50)
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# 抑制警告
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warnings.filterwarnings("ignore", category=RuntimeWarning)
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test_import()
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test_no_sandbox_backend()
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test_module_resolution()
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print("\n" + "=" * 50)
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print("测试完成")
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print("=" * 50)
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if __name__ == "__main__":
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main()
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