# -*- coding: utf-8 -*- """园区数据引擎（后端）—— 真实数据 + 测算演示（每租户独立实例）。 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， 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。 """ import random import threading import time # ---------- 默认锚点（昆明市大学生创业园 · 官方口径） ---------- COMPANIES = [ "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）", "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）", "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）", "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）", "中越生物医疗（项目）", "中越文旅交流（项目）", "绿态环保科技项目", "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）", "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", "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）", "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）", "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", "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）", "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", "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", "蓝智科技（项目）", "云品出滇·纸享万家（项目）", "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）", ] ZONES = [ {"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"}, {"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"}, {"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）"}, {"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"}, ] INDUSTRY_MIX = [ {"name": "人工智能", "value": 7}, {"name": "跨境电商", "value": 5}, {"name": "教育培训", "value": 4}, {"name": "文旅康养", "value": 4}, {"name": "文化创意", "value": 4}, {"name": "生物医药", "value": 4}, {"name": "低空经济", "value": 3}, {"name": "现代农业", "value": 3}, {"name": "绿色环保", "value": 2}, {"name": "企业服务", "value": 2}, {"name": "新材料", "value": 1}, ] FEED = [ {"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"}, {"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"}, {"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"}, {"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"}, {"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"}, {"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"}, {"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"}, {"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"}, {"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"}, {"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"}, {"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"}, {"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"}, {"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"}, {"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"}, {"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"}, ] # ---------- 租户锚点默认数据（管理端可全量覆盖） ---------- DEFAULT_DATA = { "as_of": "2026-07", "token": {"monthly_yi": 200, "daily_wan": 66666.7, "rate": 7700, "tools_per_call_tokens": 150000}, "projects": {"inPark": 38, "capacity": 49, "invested": 560}, "jobs": {"total": 213}, "revenue": {"total": 252.15, "tax": 1.03, "today": 0}, "cumulative": {"incubated": 181, "inIncubation": 31, "graduated": 149, "patents": 171, "jobs": 1529, "revenue": 21911.14, "tax": 426.2, "mentors": 50, "successRate": 95.91}, "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"}, "zones": ZONES, "companies": [{"name": n, "zone": "", "room": "", "industry": "", "bio": "", "founder": ""} for n in COMPANIES], "industryMix": INDUSTRY_MIX, "feed": FEED, } def _day_secs(): now = time.time() lt = time.localtime(now) day_start = time.mktime((lt.tm_year, lt.tm_mon, lt.tm_mday, 0, 0, 0, 0, 0, -1)) return max(0.0, now - day_start) def _make_series(base, noise, n=30): out = [] for _ in range(n - 1): v = base + (random.random() - 0.5) * noise out.append(round(max(1, v), 1)) out.append(round(base, 1)) return out def _live_values(prev=None): r = random.random steps = (prev or {}).get("steps", 81) steps += 1 if r() < 0.3 else 0 return { "firstToken": round(1.3 + (r() - 0.5) * 0.2, 2), "throughput": round(157 + (r() - 0.5) * 14), "cacheHit": round(98 + (r() - 0.5) * 1.2, 1), "inputM": round((prev or {}).get("inputM", 12.5) + 0.004 + r() * 0.008, 2), "outputM": round((prev or {}).get("outputM", 2.0) + 0.001 + r() * 0.002, 2), "rounds": max(2, steps // 40), "steps": steps, } class SimEngine: """每租户独立快照引擎：按租户 data 锚点测算。""" def __init__(self, data=None): self.data = data or DEFAULT_DATA self._lock = threading.RLock() self._snap = self._init_snapshot() # ---- 测算 ---- def _today_values(self, prev_noise=None): token = self.data.get("token", {}) rate = token.get("rate", 7700) tpc = token.get("tools_per_call_tokens", 150000) secs = _day_secs() today_wan = round(secs * rate / 10000) base_tools = secs * rate / 10000 * 10000 / tpc noise = max(-10.0, min(10.0, (prev_noise or 0.0) + (random.random() - 0.5) * 6.0)) return today_wan, max(0, round(base_tools + noise)), noise def _init_snapshot(self): d = self.data token = d.get("token", {}) today_wan, today_tools, noise = self._today_values() names = [c["name"] if isinstance(c, dict) else c for c in d.get("companies", [])] return { "as_of": d.get("as_of", "2026-07"), "_toolsNoise": noise, "live": _live_values(), "token": { "today": today_wan, "total": token.get("monthly_yi", 200) * 10000 + today_wan, "rate": token.get("rate", 7700), "series": _make_series(token.get("daily_wan", 66666.7), token.get("daily_wan", 66666.7) * 0.16), }, "tools": { "today": today_tools, "total": round(token.get("monthly_yi", 200) * 100000000 / token.get("tools_per_call_tokens", 150000)) + today_tools, "success": 98.5, "nodes": 12, }, "projects": dict(d.get("projects", {})), "jobs": dict(d.get("jobs", {})), "revenue": dict(d.get("revenue", {})), "cumulative": dict(d.get("cumulative", {})), "park": dict(d.get("park", {})), "zones": d.get("zones", ZONES), "companies": names, "industryMix": d.get("industryMix", INDUSTRY_MIX), "feed": d.get("feed", FEED), } def snapshot(self): with self._lock: return dict(self._snap) def tick(self): with self._lock: d = self.data.get("token", {}) today_wan, today_tools, noise = self._today_values(self._snap.get("_toolsNoise")) self._snap.update({ "_toolsNoise": noise, "live": _live_values(self._snap.get("live")), "token": { "today": today_wan, "total": d.get("monthly_yi", 200) * 10000 + today_wan, "rate": d.get("rate", 7700), "series": self._snap["token"]["series"][:-1] + [today_wan], }, "tools": { "today": today_tools, "total": round(d.get("monthly_yi", 200) * 100000000 / d.get("tools_per_call_tokens", 150000)) + today_tools, "success": 98.5, "nodes": 12, }, }) return dict(self._snap) # ---- 每租户引擎注册表 ---- _engines: dict[str, SimEngine] = {} # 兼容：默认全局引擎（未带租户时回退） sim_engine = SimEngine(DEFAULT_DATA) def get_engine(tenant_id: str | None = None) -> SimEngine: if not tenant_id: return sim_engine if tenant_id not in _engines: from .tenants import get_tenant_data _engines[tenant_id] = SimEngine(get_tenant_data(tenant_id)) return _engines[tenant_id] def refresh_engine(tenant_id: str) -> SimEngine: _engines.pop(tenant_id, None) return get_engine(tenant_id) def engine_data(tenant_id: str | None = None) -> dict: return get_engine(tenant_id).data