# 模块一 decompose 用到的 9 个技术领域标签。
#
# src 端用法：
#   - patentradar.core.constants 在 import 时从本份加载，导出 TECHNOLOGY_TAGS
#   - llm/prompts/decompose.md 里 {{TECHNOLOGY_TAGS_DESCRIPTIONS}} 占位符
#   - llm/workers/decompose_worker 的 json schema enum
#   - fetcher/web_fetcher 抓 HTML 嵌图时根据 image_boost_keywords 做 score 启发式加分
#
# 字段说明：
#   name              ：技术领域标签名（中文），模块一选其一作为 technology_tag
#   description       ：领域描述，帮助 LLM 判断专利归类
#   typical_objects   ：典型保护对象示例（仅模块一 decompose prompt 用作 LLM 分类参考；
#                       模块二/三/四不用）
#   recommended_sites ：该 tag 下推荐的垂类证据来源网站（每条 url + description）
#                       模块二/三 agent 应优先在这些站点检索该领域竞品证据
#   image_boost_keywords：该 tag 下用于 HTML 抓图 score 启发式加分的领域关键词；
#                       fetcher 抓到 <img> 时根据 URL 路径 / alt / 周围文字命中这些词决定加分
#                       · path_strong_boost: URL 路径含这些片段 +3（强信号，显式专题路径）
#                       · path_boost       : URL 路径 / alt / 周围文字含这些词 +2（普通信号）
#                       · alt_blacklist    : 命中这些词的图直接丢（该领域典型噪音词）
#                       同一 tag 没有显式配置时退回到顶层 [default_image_boost_keywords]
#
# 顶层 [[universal_sites]] 列出**所有 tag 通用**的证据网站。
# 顶层 [default_image_boost_keywords] 是所有 tag 兜底共用的图像加分词。

[[tags]]
name = "动力电池"
description = "以电芯、电池模组、电池包、BMS、电池安全、电池热管理为核心对象。"
typical_objects = ["单体电池", "电池包", "刀片电池", "泄压结构", "液冷板", "BMS"]
recommended_sites = [
    { url = "https://batteryfinds.com", description = "电池行业垂类社区，汇集电芯/PACK 厂商规格书、拆解报告、型号对比、容量/能量/尺寸参数；查具体电芯型号尺寸、能量密度等数值证据时优先用" },
]
[tags.image_boost_keywords]
path_strong_boost = ["/cell/", "/pack/", "/battery/", "/bms/", "/teardown/", "/datasheet/"]
path_boost = [
    "cell", "pack", "battery", "module", "bms", "datasheet", "teardown",
    "anode", "cathode", "电池", "电芯", "模组", "规格", "尺寸", "拆解", "极耳", "防爆阀",
]

[[tags]]
name = "电驱系统"
description = "以驱动电机、电机控制器、减速器、电驱桥、动力总成为核心对象。"
typical_objects = ["电机", "电控", "减速器", "驱动桥", "四驱控制"]
[tags.image_boost_keywords]
path_strong_boost = ["/motor/", "/inverter/", "/edrive/", "/powertrain/", "/teardown/"]
path_boost = [
    "motor", "inverter", "edrive", "reducer", "powertrain", "gearbox", "teardown",
    "电机", "电控", "减速器", "驱动桥", "动力总成", "拆解",
]

[[tags]]
name = "充配电系统"
description = "以充电、放电、配电、高压电气、车载电源变换为核心对象。"
typical_objects = ["OBC", "DC/DC", "V2L", "V2G", "充电口", "高压配电盒"]
[tags.image_boost_keywords]
path_strong_boost = ["/obc/", "/charger/", "/charging/", "/pdu/"]
path_boost = [
    "obc", "dcdc", "charger", "charging", "v2l", "v2g", "inlet", "connector", "pdu",
    "充电", "配电", "高压", "充电口", "充电桩",
]

[[tags]]
name = "整车与车身底盘"
description = "以整车结构、车身、底盘、悬架、制动、转向、车门、尾门、座椅等车辆机械结构为核心对象。"
typical_objects = ["车身结构", "车门", "尾门", "座椅", "底盘", "悬架", "制动"]
[tags.image_boost_keywords]
path_strong_boost = ["/chassis/", "/body/", "/liftgate/", "/seat/", "/suspension/", "/teardown/"]
path_boost = [
    "chassis", "body", "liftgate", "tailgate", "trunk", "door", "seat",
    "suspension", "brake", "steering", "wiring", "schematic", "diagram", "teardown",
    "车身", "底盘", "尾门", "电动尾门", "感应尾门", "悬架", "座椅", "电路图", "接线", "维修",
]

[[tags]]
name = "智能驾驶"
description = "以感知、决策、规划、控制、泊车、辅助驾驶为核心对象。"
typical_objects = ["摄像头感知", "雷达融合", "自动泊车", "ADAS 控制"]
[tags.image_boost_keywords]
path_strong_boost = ["/parking/", "/apa/", "/avp/", "/adas/", "/autopilot/", "/cockpit/"]
path_boost = [
    "parking", "apa", "avp", "rapa", "adas", "autopilot", "lidar", "camera", "radar",
    "cockpit", "hmi", "ui", "screen", "display", "dashboard", "interior", "screenshot",
    "泊车", "自动泊车", "辅助驾驶", "智驾", "中控", "屏幕", "界面", "车位",
]
alt_blacklist = ["试驾视频", "上市发布会"]

[[tags]]
name = "智能座舱与车联网"
description = "以车机、座舱交互、语音、显示、车联网、远程控制为核心对象。"
typical_objects = ["语音助手", "车机系统", "屏幕交互", "OTA", "远程控车"]
[tags.image_boost_keywords]
path_strong_boost = ["/cockpit/", "/hmi/", "/ivi/", "/ui/", "/screen/"]
path_boost = [
    "cockpit", "hmi", "ivi", "ui", "screen", "display", "dashboard", "infotainment",
    "voice", "ota", "screenshot",
    "座舱", "车机", "屏幕", "中控", "界面", "语音", "远程",
]

[[tags]]
name = "制造工艺与装备"
description = "以生产制造过程、装配工艺、焊接、涂布、检测设备、生产线为核心对象。"
typical_objects = ["电池制造", "焊接工艺", "涂胶工艺", "装配设备", "检测装置"]
[tags.image_boost_keywords]
path_strong_boost = ["/process/", "/manufacturing/", "/production/", "/equipment/"]
path_boost = [
    "process", "manufacturing", "production", "equipment", "assembly", "welding",
    "coating", "inspection", "line",
    "工艺", "制造", "焊接", "涂胶", "装配", "检测", "生产线", "流水线",
]

[[tags]]
name = "材料与化学"
description = "以材料组成、配方、涂层、电解液、正负极材料、复合材料为核心对象。"
typical_objects = ["电池材料", "导热材料", "阻燃材料", "密封材料", "复合材料"]
[tags.image_boost_keywords]
path_strong_boost = ["/material/", "/composition/", "/sem/", "/datasheet/"]
path_boost = [
    "material", "composition", "formulation", "coating", "electrolyte", "sem", "xrd",
    "datasheet",
    "材料", "配方", "涂层", "电解液", "正极", "负极", "复合材料",
]

[[tags]]
name = "其他"
description = "确认权利要求 1 核心保护对象确实不属于前 8 类时才选。"
typical_objects = []
# 此 tag 走顶层 default_image_boost_keywords 兜底

# ============================================================================
# 默认（兜底）图像 score 启发式加分词
# 任何 tag 没显式配 image_boost_keywords 时使用本份；与 tag 专属词不叠加，二选一
# ============================================================================

[default_image_boost_keywords]
path_strong_boost = ["/product/", "/products/", "/datasheet/", "/spec/", "/specs/", "/teardown/"]
path_boost = [
    "spec", "specification", "datasheet", "detail", "details", "gallery",
    "teardown", "diagram", "figure", "schematic",
    "规格", "尺寸", "拆解", "产品",
]
# alt_blacklist 不在 default 里——全局共用的 alt_blacklist 写在 web_fetcher.py 常量里

# ============================================================================
# 所有 tag 通用的证据来源网站
# 模块二/三 agent 不论本专利属于哪个 tag 都应在这些站点检索补全证据
# ============================================================================

[[universal_sites]]
url = "https://m.asemanshop.com"
description = "畅易汽车网（移动版），汇集主流车型维修手册电子版/电路图册/零件目录；查车型部件位置、接线关系、电路原理图等内部结构证据时用"

[[universal_sites]]
url = "https://www.qixiu88.com"
description = "汽修巴巴，汽修行业资料站，提供车型维修手册/维修案例/技术通报；查车型实际维修拆解信息、关键零件位置证据时用"