server-core/app/park/sim_engine.py

# -*- 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_sync
        _engines[tenant_id] = SimEngine(get_tenant_data_sync(tenant_id))
    return _engines[tenant_id]


def refresh_engine(tenant_id: str, data: dict | None = None) -> SimEngine:
    """按新数据重建该租户引擎；data 缺省时同步读库。"""
    _engines.pop(tenant_id, None)
    if data is not None:
        _engines[tenant_id] = SimEngine(data)
        return _engines[tenant_id]
    return get_engine(tenant_id)


def engine_data(tenant_id: str | None = None) -> dict:
    return get_engine(tenant_id).data