chore: 清理测试文件和上传目录
This commit is contained in:
MingNian
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"""
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健康管家 - 全流程端到端测试
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模拟真实用户操作：注册→登录→各Agent对话→数据录入→查询验证
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"""
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import urllib.request, urllib.parse, json, sys, time, os
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BASE = "http://localhost:5000"
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PASSED = 0
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FAILED = 0
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TOKEN = None
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def api(method, path, data=None, token=None, files=None):
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"""调用后端 API"""
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url = f"{BASE}{path}"
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headers = {"Content-Type": "application/json"}
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if token:
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headers["Authorization"] = f"Bearer {token}"
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body = None
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if data:
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body = json.dumps(data, ensure_ascii=False).encode("utf-8")
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req = urllib.request.Request(url, data=body, headers=headers, method=method)
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try:
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resp = urllib.request.urlopen(req, timeout=30)
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return json.loads(resp.read().decode("utf-8"))
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except Exception as e:
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return {"error": str(e), "code": -1}
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def check(name, condition, detail=""):
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global PASSED, FAILED
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if condition:
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PASSED += 1
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print(f" [PASS] {name}")
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else:
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FAILED += 1
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print(f" [FAIL] {name} {detail}")
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def login(phone="13800000001"):
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"""发送验证码 + 登录，返回 token"""
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sms = api("POST", "/api/auth/send-sms", {"phone": phone})
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code = sms.get("data", {}).get("devCode", "")
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if not code:
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return None
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result = api("POST", "/api/auth/login", {"phone": phone, "smsCode": code})
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return result.get("data", {}).get("accessToken")
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def sse_stream(token, agent_type, message):
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"""连接 SSE 端点，返回所有事件"""
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url = f"{BASE}/api/ai/{agent_type}/chat?message={urllib.parse.quote(message)}&token={urllib.parse.quote(token or '')}"
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req = urllib.request.Request(url)
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events = []
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try:
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resp = urllib.request.urlopen(req, timeout=60)
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for line_bytes in resp:
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line = line_bytes.decode("utf-8").strip()
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if line.startswith("data: "):
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data = line[6:]
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if data == "[DONE]":
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break
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try:
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events.append(json.loads(data))
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except:
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pass
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except Exception as e:
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events.append({"error": str(e)})
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return events
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def section(title):
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print(f"\n{'='*60}")
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print(f" {title}")
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print(f"{'='*60}")
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# ============================================================
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section("1. 认证流程")
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# ============================================================
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print(" 1.1 发送验证码...")
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sms = api("POST", "/api/auth/send-sms", {"phone": "13800000001"})
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check("发送验证码", sms.get("code") == 0, str(sms.get("message","")))
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code = sms.get("data", {}).get("devCode", "")
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print(" 1.2 验证码登录...")
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login_result = api("POST", "/api/auth/login", {"phone": "13800000001", "smsCode": code})
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check("登录成功", login_result.get("code") == 0)
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TOKEN = login_result.get("data", {}).get("accessToken", "")
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REFRESH = login_result.get("data", {}).get("refreshToken", "")
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check("返回accessToken", len(TOKEN) > 50)
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check("返回refreshToken", len(REFRESH) > 20)
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print(" 1.3 刷新Token...")
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refresh_result = api("POST", "/api/auth/refresh", {"refreshToken": REFRESH})
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check("刷新Token成功", refresh_result.get("code") == 0)
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check("下发新Token", len(refresh_result.get("data", {}).get("accessToken", "")) > 50)
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print(" 1.4 登出...")
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logout_result = api("POST", "/api/auth/logout", {"refreshToken": REFRESH})
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check("登出成功", logout_result.get("code") == 0)
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# 重新登录获取token
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TOKEN = login()
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# ============================================================
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section("2. 用户与档案")
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# ============================================================
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profile = api("GET", "/api/user/profile", token=TOKEN)
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check("获取个人信息", profile.get("code") == 0)
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archive = api("GET", "/api/user/health-archive", token=TOKEN)
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check("获取健康档案", archive.get("code") == 0)
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check("档案有诊断信息", archive.get("data", {}).get("diagnosis") is not None if archive.get("data") else False,
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"诊断=" + str(archive.get("data", {}).get("diagnosis", "无")))
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# ============================================================
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section("3. 健康数据 CRUD")
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# ============================================================
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print(" 3.1 录入血压...")
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bp = api("POST", "/api/health-records", token=TOKEN, data={
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"type": "BloodPressure", "systolic": 128, "diastolic": 82,
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"unit": "mmHg", "source": "Manual"
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})
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check("录入血压", bp.get("code") == 0, str(bp.get("message","")))
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print(" 3.2 录入心率...")
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hr = api("POST", "/api/health-records", token=TOKEN, data={
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"type": "HeartRate", "value": 72, "unit": "次/分", "source": "Manual"
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})
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check("录入心率", hr.get("code") == 0, str(hr.get("message","")))
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print(" 3.3 录入血糖...")
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glu = api("POST", "/api/health-records", token=TOKEN, data={
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"type": "Glucose", "value": 5.5, "unit": "mmol/L", "source": "Manual"
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})
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check("录入血糖", glu.get("code") == 0, str(glu.get("message","")))
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print(" 3.4 录入血氧...")
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spo2 = api("POST", "/api/health-records", token=TOKEN, data={
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"type": "SpO2", "value": 98, "unit": "%", "source": "Manual"
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})
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check("录入血氧", spo2.get("code") == 0, str(spo2.get("message","")))
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print(" 3.5 获取最新数据...")
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latest = api("GET", "/api/health-records/latest", token=TOKEN)
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check("获取最新数据", latest.get("code") == 0)
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check("血压存在", latest.get("data", {}).get("BloodPressure") is not None)
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print(" 3.6 获取趋势数据...")
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trend = api("GET", "/api/health-records/trend?type=HeartRate&period=7", token=TOKEN)
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check("获取趋势数据", trend.get("code") == 0)
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# ============================================================
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section("4. 用药管理")
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# ============================================================
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print(" 4.1 获取用药列表...")
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meds = api("GET", "/api/medications", token=TOKEN)
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check("获取用药列表", meds.get("code") == 0)
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print(" 4.2 添加用药...")
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new_med = api("POST", "/api/medications", token=TOKEN, data={
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"name": "阿司匹林", "dosage": "100mg", "frequency": "Daily",
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"timeOfDay": ["08:00"], "source": "Manual", "startDate": "2026-06-02"
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})
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check("添加用药", new_med.get("code") == 0, str(new_med.get("message","")))
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med_id = new_med.get("data", {}).get("id", "")
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print(" 4.3 服药打卡...")
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if med_id:
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confirm = api("POST", f"/api/medications/{med_id}/confirm", token=TOKEN)
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check("服药打卡", confirm.get("code") == 0, str(confirm.get("message","")))
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# ============================================================
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section("5. 饮食记录")
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# ============================================================
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diet = api("GET", "/api/diet-records?date=2026-06-02", token=TOKEN)
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check("查询饮食记录", diet.get("code") == 0)
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# ============================================================
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section("6. 运动计划")
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# ============================================================
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print(" 6.1 获取当前计划...")
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plan = api("GET", "/api/exercise-plans/current", token=TOKEN)
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check("获取当前计划", plan.get("code") == 0)
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print(" 6.2 创建运动计划...")
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new_plan = api("POST", "/api/exercise-plans", token=TOKEN, data={
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"weekStartDate": "2026-06-02",
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"items": [
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{"dayOfWeek": 1, "exerciseType": "散步", "durationMinutes": 30, "isRestDay": False},
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{"dayOfWeek": 3, "exerciseType": "太极", "durationMinutes": 40, "isRestDay": False},
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{"dayOfWeek": 5, "exerciseType": "散步", "durationMinutes": 30, "isRestDay": False},
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]
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})
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check("创建运动计划", new_plan.get("code") == 0, str(new_plan.get("message","")))
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# ============================================================
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section("7. 医生与问诊")
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# ============================================================
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print(" 7.1 医生列表...")
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docs = api("GET", "/api/doctors", token=TOKEN)
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check("获取医生列表", docs.get("code") == 0)
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check("有医生数据", len(docs.get("data", [])) > 0, f"共{len(docs.get('data',[]))}位医生")
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print(" 7.2 问诊配额...")
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quota = api("GET", "/api/user/consultation-quota", token=TOKEN)
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check("获取问诊配额", quota.get("code") == 0)
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# ============================================================
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section("8. AI 智能体对话")
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# ============================================================
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agents_to_test = [
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("default", "你好，介绍一下你自己"),
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("health", "我血压128/82"),
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("medication", "我现在在吃什么药"),
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("consultation", "最近胸口有点不舒服"),
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("diet", "我中午吃了红烧肉和米饭"),
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("exercise", "帮我查询运动计划"),
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]
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for agent_name, msg in agents_to_test:
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print(f" 8.{agents_to_test.index((agent_name,msg))+1} {agent_name} Agent: \"{msg[:30]}...\"")
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TOKEN = login() # fresh token
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events = sse_stream(TOKEN, agent_name, msg)
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has_answer = any(e.get("action") == "answer" for e in events)
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has_tool = any(e.get("action") == "tool_result" for e in events)
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has_conv_id = any(e.get("action") == "conversation_id" for e in events)
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errors = [e for e in events if e.get("action") == "error"]
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check(f"{agent_name}: 对话建立", has_conv_id)
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check(f"{agent_name}: 有回复", has_answer or has_tool,
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f"(events: {len(events)}, tools: {has_tool}, answer: {has_answer})")
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check(f"{agent_name}: 无错误", len(errors) == 0,
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f"errors: {[e.get('message','') for e in errors]}" if errors else "")
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# ============================================================
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section("9. 对话历史")
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# ============================================================
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convs = api("GET", "/api/ai/conversations", token=TOKEN)
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check("获取对话列表", convs.get("code") == 0)
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check("有对话记录", len(convs.get("data", [])) > 0, f"共{len(convs.get('data',[]))}条")
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# ============================================================
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section("10. VLM 食物识别")
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# ============================================================
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# 尝试上传测试图片
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test_img = "D:/health_project/食堂三菜一饭热量估算.png"
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if os.path.exists(test_img):
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# Use subprocess for multipart upload
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import subprocess
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cmd = [
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'curl', '-s', '--max-time', '30', '-X', 'POST',
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f'{BASE}/api/ai/analyze-food-image',
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'-H', f'Authorization: Bearer {TOKEN}',
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'-F', f'images=@{test_img}'
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]
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r = subprocess.run(cmd, capture_output=True, text=True)
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try:
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vlm = json.loads(r.stdout)
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check("VLM食物识别调通", vlm.get("code") == 0, str(vlm.get("message","")))
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has_data = bool(vlm.get("data", ""))
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check("VLM返回数据", has_data, f"data长度: {len(str(vlm.get('data','')))}")
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except:
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check("VLM食物识别", False, "JSON解析失败")
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else:
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check("VLM测试图片存在", False, f"{test_img} 不存在")
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# ============================================================
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section("11. 报告列表")
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# ============================================================
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reports = api("GET", "/api/reports", token=TOKEN)
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check("获取报告列表", reports.get("code") == 0)
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# ============================================================
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section("12. 通知偏好")
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# ============================================================
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notifs = api("GET", "/api/notifications/preferences", token=TOKEN)
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check("获取通知偏好", notifs.get("code") == 0)
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# ============================================================
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print(f"\n{'='*60}")
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print(f" 测试结果: PASS={PASSED} FAIL={FAILED} TOTAL={PASSED+FAILED}")
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print(f"{'='*60}")
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if FAILED > 0:
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sys.exit(1)
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Reference in New Issue
Block a user