Pine
81f4dfd0ad
- tenants.py：park_tenants/park_companies/park_kb_docs 三表（serverdata/park/park.db）， 每园区独立 name/intro(两段式)/auth(账密 salted hash)/data(大屏锚点)/agent/kb； ensure_default_tenant 自愈建默认园区+灌 39 家企业。 - sim_engine 重构为 SimEngine(data)——每租户独立实例，get_engine(tid)/refresh_engine(tid)。 - auth.py：/park/auth/login(账密→长效 tenant JWT)、/park/auth/me、require_tenant(401)。 - mqtt：register/publish_command/publish_tick 按 tenant_id 作用域(拓扑为 command/tid/clientId)。 - routers：/park/tenants CRUD + 全部数据/指令端点租户作用域(authorization token 或 ?tenant_id)。 - app.py lifespan init_db + 逐租户 tick/publish；tools._query_companies 读租户库。 - .gitignore 增 serverdata/park/。TestClient：建租户/登录/快照隔离/企业CRUD/指令鉴权(无token401) 全过。
208 lines
11 KiB
Python
208 lines
11 KiB
Python
# -*- coding: utf-8 -*-
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"""园区数据引擎（后端）—— 真实数据 + 测算演示（每租户独立实例）。
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数据锚点由租户 data 注入（可在管理端全量配置）；引擎按 tenant_id 缓存独立实例，
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实时 TOKEN/工具调用按该租户锚点独立测算。默认锚点为昆明市大学生创业园官方口径。
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"""
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import random
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import threading
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import time
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# ---------- 默认锚点（昆明市大学生创业园 · 官方口径） ----------
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COMPANIES = [
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"云南派音人工智能科技有限公司", "米勒克尔蓝宝石珠宝产业化（项目）", "中泰研学合作（项目）",
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"云南宸中低空经济有限公司", "昆明智海银高文化科技有限公司", "人工智能机器人大模型训练（项目）",
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"云南廷秀文旅康养服务（项目）", "瀚颖AI+教育信息咨询（项目）", "云南大学AI+联合创业服务平台（项目）",
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"仰光客厅（项目）", "云南上古绝学文化发展有限公司", "千楣之路（项目）",
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"中越生物医疗（项目）", "中越文旅交流（项目）", "绿态环保科技项目",
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"联翼航空技术低空经济应用国际化拓展（项目）", "酷享野农AI农业（项目）", "滇缅国际设计（项目）",
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"昆明舒诺生物科技有限责任公司", "达岸教育管理（云南）有限公司", "昆明滇油石化有限责任公司",
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"花仙子园艺肥料（云南）有限公司", "Facebook越南市场普洱茶与建水紫陶壶跨境电商（项目）",
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"研X——同行者网络（项目）", "鬼才明AI创意工作室（项目）", "朵哈·玫瑰特色产业链（项目）",
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"昆明云韵体育有限责任公司", "昆明舒护安养老服务有限责任公司",
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"南菌优培—食用菌专用生物制剂创新与高原特色野生菌高值化全链开发（项目）",
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"五华区丽裳文化艺术工作室", "云南星瑞航空（项目）", "综合性云南直播私域服务平台",
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"昆明屿澈电子商务有限公司", "中外青少年研学（项目）", "星杭商务信息咨询昆明有限责任公司",
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"蓝智科技（项目）", "云品出滇·纸享万家（项目）",
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"云迹轻旅—昆明本土一站式轻量化文旅服务工作室（项目）", "启元人工智能科技（项目）",
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]
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ZONES = [
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{"name": "OPC创业空间", "desc": "AI 技术支撑 · 数字经济/AI应用/软件开发/文创设计/电商直播等轻资产领域", "period": "拎包入驻 · 最长2年"},
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{"name": "创业苗圃区", "desc": "创意阶段 · 未注册企业团队 · 开放式共享工位", "period": "最长2年"},
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{"name": "孵化加速区", "desc": "已工商注册初创企业 · 独立办公空间", "period": "基础2年 · 可延1年（≤3年）"},
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{"name": "国际创客区", "desc": "归国留学生 · 外籍留学生 · 国际化配套服务", "period": "参照加速区"},
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]
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INDUSTRY_MIX = [
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{"name": "人工智能", "value": 7}, {"name": "跨境电商", "value": 5}, {"name": "教育培训", "value": 4},
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{"name": "文旅康养", "value": 4}, {"name": "文化创意", "value": 4}, {"name": "生物医药", "value": 4},
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{"name": "低空经济", "value": 3}, {"name": "现代农业", "value": 3}, {"name": "绿色环保", "value": 2},
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{"name": "企业服务", "value": 2}, {"name": "新材料", "value": 1},
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]
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FEED = [
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{"id": 24, "icon": "dna", "text": "园内企业「昆明舒诺生物科技」完成GEO服务体系建设（生成式引擎优化，聚焦宠物营养品牌数字化）", "time": "2026-08"},
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{"id": 1, "icon": "activity", "text": "2026年7月运行情况统计表填报完成：累计投入运营资金560万元、带动就业213人", "time": "2026-07-31"},
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{"id": 2, "icon": "radio", "text": "2026年第三期入驻创业企业（项目）评审结果在昆明市人社局官网公示", "time": "2026-07-02"},
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{"id": 3, "icon": "graduation", "text": "云南师范大学就业创业实践基地落地园区 · 云南旅游职业学院开展就业创业交流", "time": "2026-06-03"},
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{"id": 23, "icon": "radio", "text": "「PineSound」完成 ICP 备案（滇ICP备2026008517号）与公安备案，注册地址昆明市民航路301-307号", "time": "2026"},
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{"id": 4, "icon": "rocket", "text": "\"滇水逐梦·雨林创航\"昆明·西双版纳创业路演PK赛成功举办", "time": "2026-05-20"},
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{"id": 5, "icon": "flag", "text": "昆明市青年企业家协会创新创业基地在园区揭牌", "time": "2026-05-13"},
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{"id": 6, "icon": "users", "text": "\"聚力赋能·共创未来\"高校创新创业交流暨项目路演活动圆满举行", "time": "2026-05-08"},
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{"id": 7, "icon": "trophy", "text": "\"创赢未来\"2026创业大赛昆明选拔赛暨马兰花创业培训讲师大赛举行（13个项目参赛）", "time": "2026-04-22"},
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{"id": 8, "icon": "broadcast", "text": "2026年第二期创业企业（项目）入驻招募公告发布（官网 www.kmyc.gov.cn）", "time": "2026-04-15"},
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{"id": 21, "icon": "sparkles", "text": "「PineSound」AI驱动音频管理平台上线 pinesound.cn：智能配乐与音效生成，集成100W+音效库、50W+配乐库，全球版权授权（官网）", "time": "2026"},
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{"id": 9, "icon": "award", "text": "2026年第一期入驻评审结果在昆明市人社局官网公示（23个优质项目正式入驻）", "time": "2026-03-27"},
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{"id": 10, "icon": "users", "text": "2026年第一期招募集中评审完成：38个申请，23个优质项目正式入驻", "time": "2026-03-24"},
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{"id": 11, "icon": "cpu", "text": "云南首个人工智能OPC创新人才基地落地昆明，填补省内个体AI创业培育空白（公开报道）", "time": "2026-03-23"},
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{"id": 12, "icon": "medal", "text": "第九届\"春城创业荟\"创业创新大赛圆满闭幕，获奖项目名单公布", "time": "2025-09-30"},
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]
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# ---------- 租户锚点默认数据（管理端可全量覆盖） ----------
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DEFAULT_DATA = {
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"as_of": "2026-07",
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"token": {"monthly_yi": 200, "daily_wan": 66666.7, "rate": 7700, "tools_per_call_tokens": 150000},
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"projects": {"inPark": 38, "capacity": 49, "invested": 560},
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"jobs": {"total": 213},
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"revenue": {"total": 252.15, "tax": 1.03, "today": 0},
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"cumulative": {"incubated": 181, "inIncubation": 31, "graduated": 149, "patents": 171, "jobs": 1529, "revenue": 21911.14, "tax": 426.2, "mentors": 50, "successRate": 95.91},
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"park": {"area": 3000, "founded": 2009, "provinceLevel": 2012, "address": "昆明市民航路229号（人力资源中心1-2楼）", "phone": "18087174891", "email": "714066050@qq.com"},
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"zones": ZONES,
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"companies": [{"name": n, "zone": "", "room": "", "industry": "", "bio": "", "founder": ""} for n in COMPANIES],
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"industryMix": INDUSTRY_MIX,
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"feed": FEED,
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}
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def _day_secs():
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now = time.time()
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lt = time.localtime(now)
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day_start = time.mktime((lt.tm_year, lt.tm_mon, lt.tm_mday, 0, 0, 0, 0, 0, -1))
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return max(0.0, now - day_start)
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def _make_series(base, noise, n=30):
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out = []
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for _ in range(n - 1):
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v = base + (random.random() - 0.5) * noise
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out.append(round(max(1, v), 1))
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out.append(round(base, 1))
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return out
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def _live_values(prev=None):
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r = random.random
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steps = (prev or {}).get("steps", 81)
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steps += 1 if r() < 0.3 else 0
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return {
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"firstToken": round(1.3 + (r() - 0.5) * 0.2, 2),
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"throughput": round(157 + (r() - 0.5) * 14),
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"cacheHit": round(98 + (r() - 0.5) * 1.2, 1),
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"inputM": round((prev or {}).get("inputM", 12.5) + 0.004 + r() * 0.008, 2),
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"outputM": round((prev or {}).get("outputM", 2.0) + 0.001 + r() * 0.002, 2),
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"rounds": max(2, steps // 40),
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"steps": steps,
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}
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class SimEngine:
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"""每租户独立快照引擎：按租户 data 锚点测算。"""
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def __init__(self, data=None):
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self.data = data or DEFAULT_DATA
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self._lock = threading.RLock()
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self._snap = self._init_snapshot()
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# ---- 测算 ----
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def _today_values(self, prev_noise=None):
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token = self.data.get("token", {})
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rate = token.get("rate", 7700)
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tpc = token.get("tools_per_call_tokens", 150000)
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secs = _day_secs()
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today_wan = round(secs * rate / 10000)
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base_tools = secs * rate / 10000 * 10000 / tpc
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noise = max(-10.0, min(10.0, (prev_noise or 0.0) + (random.random() - 0.5) * 6.0))
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return today_wan, max(0, round(base_tools + noise)), noise
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def _init_snapshot(self):
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d = self.data
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token = d.get("token", {})
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today_wan, today_tools, noise = self._today_values()
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names = [c["name"] if isinstance(c, dict) else c for c in d.get("companies", [])]
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return {
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"as_of": d.get("as_of", "2026-07"),
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"_toolsNoise": noise,
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"live": _live_values(),
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"token": {
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"today": today_wan,
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"total": token.get("monthly_yi", 200) * 10000 + today_wan,
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"rate": token.get("rate", 7700),
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"series": _make_series(token.get("daily_wan", 66666.7), token.get("daily_wan", 66666.7) * 0.16),
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},
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"tools": {
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"today": today_tools,
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"total": round(token.get("monthly_yi", 200) * 100000000 / token.get("tools_per_call_tokens", 150000)) + today_tools,
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"success": 98.5,
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"nodes": 12,
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},
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"projects": dict(d.get("projects", {})),
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"jobs": dict(d.get("jobs", {})),
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"revenue": dict(d.get("revenue", {})),
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"cumulative": dict(d.get("cumulative", {})),
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"park": dict(d.get("park", {})),
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"zones": d.get("zones", ZONES),
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"companies": names,
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"industryMix": d.get("industryMix", INDUSTRY_MIX),
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"feed": d.get("feed", FEED),
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}
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def snapshot(self):
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with self._lock:
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return dict(self._snap)
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def tick(self):
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with self._lock:
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d = self.data.get("token", {})
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today_wan, today_tools, noise = self._today_values(self._snap.get("_toolsNoise"))
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self._snap.update({
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"_toolsNoise": noise,
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"live": _live_values(self._snap.get("live")),
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"token": {
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"today": today_wan,
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"total": d.get("monthly_yi", 200) * 10000 + today_wan,
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"rate": d.get("rate", 7700),
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"series": self._snap["token"]["series"][:-1] + [today_wan],
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},
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"tools": {
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"today": today_tools,
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"total": round(d.get("monthly_yi", 200) * 100000000 / d.get("tools_per_call_tokens", 150000)) + today_tools,
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"success": 98.5,
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"nodes": 12,
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},
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})
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return dict(self._snap)
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# ---- 每租户引擎注册表 ----
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_engines: dict[str, SimEngine] = {}
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# 兼容：默认全局引擎（未带租户时回退）
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sim_engine = SimEngine(DEFAULT_DATA)
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def get_engine(tenant_id: str | None = None) -> SimEngine:
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if not tenant_id:
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return sim_engine
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if tenant_id not in _engines:
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from .tenants import get_tenant_data
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_engines[tenant_id] = SimEngine(get_tenant_data(tenant_id))
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return _engines[tenant_id]
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def refresh_engine(tenant_id: str) -> SimEngine:
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_engines.pop(tenant_id, None)
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return get_engine(tenant_id)
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def engine_data(tenant_id: str | None = None) -> dict:
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return get_engine(tenant_id).data
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