selfrelease
164 lines
5.1 KiB
Python
164 lines
5.1 KiB
Python
"""评价模板预设配置种子数据。
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启动时自动初始化 50 个预设配置单元到数据库。
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"""
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import logging
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from typing import Any
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from app.services.evaluation_engine import compute_weights
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logger = logging.getLogger(__name__)
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# 基金类型列表
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FUND_TYPES = ["angel", "early_vc", "growth_vc", "pe", "cvc", "fof", "distress", "esg"]
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# 存续期阶段列表
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FUND_LIFECYCLES = ["investment", "growth", "exit_preparation", "liquidation"]
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# 企业阶段列表
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COMPANY_STAGES = ["seed", "a", "b", "c", "pre_ipo"]
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# 产业赛道列表
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INDUSTRIES = ["ai", "saas", "hardware", "biotech", "consumer", "fintech", "manufacturing"]
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# 投资策略列表
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STRATEGIES = ["growth", "value", "empowerment", "turnaround"]
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# 投资人类型列表
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INVESTOR_TYPES = ["gp", "post_invest_lead", "investor"]
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# 模板名称中文名
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FUND_TYPE_LABELS = {
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"angel": "天使/种子基金",
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"early_vc": "早期VC",
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"growth_vc": "成长期VC",
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"pe": "PE/并购基金",
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"cvc": "产业基金",
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"fof": "母基金",
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"distress": "困境/特殊机会基金",
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"esg": "ESG/影响力基金",
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}
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LIFECYCLE_LABELS = {
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"investment": "投资期",
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"growth": "成长期",
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"exit_preparation": "退出准备期",
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"liquidation": "清算期",
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}
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STAGE_LABELS = {
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"seed": "种子/天使",
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"a": "A轮",
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"b": "B轮",
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"c": "C轮+",
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"pre_ipo": "Pre-IPO",
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}
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INDUSTRY_LABELS = {
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"ai": "AI/SaaS",
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"saas": "企业服务",
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"hardware": "硬科技/芯片",
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"biotech": "生物医药",
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"consumer": "消费品牌",
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"fintech": "金融科技",
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"manufacturing": "新能源/先进制造",
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}
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STRATEGY_LABELS = {
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"growth": "成长型",
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"value": "价值型",
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"empowerment": "投后赋能型",
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"turnaround": "困境反转型",
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}
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def generate_preset_templates() -> list[dict[str, Any]]:
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"""生成全部预设模板配置。
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策略：为每个 (fund_type, lifecycle, stage, industry) 组合生成默认模板，
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strategy 默认使用 growth，investor_type 默认使用 investor。
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用户可以在前端创建自定义策略/投资人类型的模板。
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Returns:
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模板配置字典列表
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"""
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templates: list[dict[str, Any]] = []
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for fund_type in FUND_TYPES:
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for lifecycle in FUND_LIFECYCLES:
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for stage in COMPANY_STAGES:
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for industry in INDUSTRIES:
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# FOF 不生成单企业模板
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if fund_type == "fof":
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continue
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result = compute_weights(
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fund_type=fund_type,
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fund_lifecycle=lifecycle,
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company_stage=stage,
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industry=industry,
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strategy="growth",
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investor_type="investor",
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)
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name = (
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f"{FUND_TYPE_LABELS[fund_type]}-{LIFECYCLE_LABELS[lifecycle]}-"
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f"{STAGE_LABELS[stage]}-{INDUSTRY_LABELS[industry]}"
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)
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templates.append({
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"name": name,
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"fund_type": fund_type,
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"fund_lifecycle": lifecycle,
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"company_stage": stage,
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"industry": industry,
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"strategy": "growth",
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"investor_type": "investor",
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"weights_json": result["weights"],
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"enabled_dimensions": result["enabled_dimensions"],
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"disabled_dimensions": result["disabled_dimensions"],
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"custom_metrics_json": {"metrics": result["custom_metrics"]},
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"is_default": True,
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"is_active": True,
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"version": 1,
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})
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logger.info("生成预设模板 %d 个", len(templates))
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return templates
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async def seed_evaluation_templates(db_session) -> None:
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"""将预设模板写入数据库（仅当表为空时）。
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Args:
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db_session: 异步数据库会话
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"""
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from sqlalchemy import select
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from app.models.evaluation_template import EvaluationTemplate
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from app.models.tenant import Tenant
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# 检查是否已有数据
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result = await db_session.execute(select(EvaluationTemplate).limit(1))
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existing = result.scalar_one_or_none()
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if existing:
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logger.info("评价模板表已有数据，跳过种子初始化")
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return
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# 获取第一个租户作为默认租户
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tenant_result = await db_session.execute(select(Tenant).limit(1))
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tenant = tenant_result.scalar_one_or_none()
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if not tenant:
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logger.warning("无租户数据，跳过评价模板种子初始化")
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return
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tenant_id = str(tenant.id)
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templates = generate_preset_templates()
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for tmpl_data in templates:
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tmpl = EvaluationTemplate(tenant_id=tenant_id, **tmpl_data)
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db_session.add(tmpl)
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await db_session.flush()
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logger.info("预设评价模板已写入数据库: %d 个 (tenant=%s)", len(templates), tenant_id)
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