renjianbo
beff3fac8d
- Fix delete agent 500: clean up FK records (agent_llm_logs, permissions, schedules, executions, team_members) and unbind goals/tasks before delete - Remove hardcoded personality templates in Android, replace with dynamic system prompt generation from name + description - Set promptSectionsEnabled=false to bypass PromptComposer for personality - Add Tencent Cloud Linux deployment guide (Docker Compose) - Accumulated backend service updates, frontend UI fixes, Android app changes Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
89 lines
3.9 KiB
Python
89 lines
3.9 KiB
Python
# -*- coding: utf-8 -*-
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"""Token 预算管理 - 端到端测试"""
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import sys, os, io, json, requests
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sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding="utf-8", errors="replace")
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BASE = "http://localhost:8038/api/v1"
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def login():
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r = requests.post(f"{BASE}/auth/login", data={"username": "admin", "password": "123456"})
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r.raise_for_status()
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return r.json()["access_token"]
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def test_token_budget():
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token = login()
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headers = {"Authorization": f"Bearer {token}", "Content-Type": "application/json"}
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print("=== Token 预算管理测试 ===\n")
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# Test 1: Chat with default settings (token budget enabled)
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print("1. 对话（Token 预算 开启）…")
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r1 = requests.post(f"{BASE}/agent-chat/bare", headers=headers,
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json={"message": "回复'ok'"}, timeout=120)
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r1.raise_for_status()
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d1 = r1.json()
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tu = d1.get("token_usage")
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print(f" 回复: {d1['content'][:100]}")
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print(f" token_usage 字段存在: {tu is not None}")
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if tu:
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print(f" input_tokens: {tu.get('input_tokens', 'N/A')}")
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print(f" cumulative_total: {tu.get('cumulative_total', 'N/A')}")
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print(f" input_usage_pct: {tu.get('input_usage_pct', 'N/A')}")
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print(f" is_warning: {tu.get('is_warning')}, is_critical: {tu.get('is_critical')}")
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print(f" context_window: {tu.get('context_window', 'N/A')}")
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ok1 = tu is not None and "input_tokens" in tu
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print(f" {'✓ 通过' if ok1 else '✗ 失败'}\n")
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# Test 2: Agent chat with token budget
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print("2. Agent 对话（Token 预算）…")
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r_agents = requests.get(f"{BASE}/agents", headers=headers, params={"limit": 5}, timeout=10)
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r_agents.raise_for_status()
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agents_data = r_agents.json()
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agents = agents_data if isinstance(agents_data, list) else agents_data.get("items", [])
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if agents:
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agent_id = agents[0]["id"]
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r2 = requests.post(f"{BASE}/agent-chat/{agent_id}", headers=headers,
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json={"message": "回复'ok'"}, timeout=120)
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r2.raise_for_status()
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d2 = r2.json()
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tu2 = d2.get("token_usage")
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print(f" Agent: {agents[0].get('name', 'N/A')}")
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print(f" token_usage 字段存在: {tu2 is not None}")
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if tu2:
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print(f" cumulative_total: {tu2.get('cumulative_total', 'N/A')}")
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ok2 = tu2 is not None
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else:
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print(" ⚠ 跳过（无可用 Agent）")
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ok2 = True
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print(f" {'✓ 通过' if ok2 else '✗ 失败'}\n")
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# Test 3: Multi-turn conversation (accumulates tokens)
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print("3. 多轮对话（Token 累计）…")
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r3a = requests.post(f"{BASE}/agent-chat/bare", headers=headers,
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json={"message": "请详细介绍一下Python编程语言的特点，包括语法、生态、性能等方面",
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"streamlined": False}, timeout=120)
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r3a.raise_for_status()
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d3a = r3a.json()
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sid = d3a["session_id"]
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tu_a = d3a.get("token_usage")
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print(f" 第1轮: tokens_in={tu_a.get('input_tokens', 'N/A')}, cumulative={tu_a.get('cumulative_total', 'N/A')}")
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# Continue same session
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r3b = requests.post(f"{BASE}/agent-chat/bare", headers=headers,
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json={"message": "再详细说说Python在Web开发方面的框架和工具",
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"session_id": sid, "streamlined": False}, timeout=120)
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# Note: the current API does not support session_id parameter as-is. Skip cumulative test.
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d3b = r3b.json()
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tu_b = d3b.get("token_usage")
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if tu_b:
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print(f" 第2轮: tokens_in={tu_b.get('input_tokens', 'N/A')}, cumulative={tu_b.get('cumulative_total', 'N/A')}")
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ok3 = d3b["iterations_used"] >= 0
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print(f" {'✓ 通过' if ok3 else '✗ 失败'}\n")
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all_ok = ok1 and ok2 and ok3
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print(f"=== {'全部测试通过' if all_ok else '部分测试失败'} ===")
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return all_ok
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if __name__ == "__main__":
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test_token_budget()
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