feat(宏观): ifinance 分类动态挂载为宏观 tab, 报警迁入监控, 下线油价/本地经济数据/策略研究
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- 宏观只保留本地 新闻/经济文章, 外接 ifinance categories[] 动态成为 tab (纯前端直连, CORS/_headers, https)
- 报警从宏观迁到监控第 4 个 tab (保留 Alert 模块, 供未来新增报警源)
- 彻底删除油价/经济数据/策略研究: 前端组件+api、后端 apizero/data 路由、cron、fetchers、种子数据
- 新增迁移 DROP Indicator/IndicatorPoint/Strategy/OilPriceHistory; 重新生成 Prisma Client
- CSP 放开 *.honor3.com (含端口通配), 避免新增子域反复重装外壳
This commit is contained in:
jif2.zhang
2026-10-30 17:17:10 +08:00
parent 82c4ae8a84
commit afbb9bc603
66 changed files with 995 additions and 9916 deletions
+9 -13
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@@ -2,25 +2,21 @@
跨平台个人看板 (Tauri + React + Express + MariaDB)。用于收集和整理经济数据,但是以策略为主体重新组织。
- 首页主要是放经济文章
- 数据主要是放各种经济数据和图表
- 策略是放按照经济理论组织的相关数据和图表的对比
- 宏观:新闻 / 经济文章(本地),以及外接 ifinance 模块的分类(经济数据 / 策略研究 / 看板,运行时动态挂载为 tab)
- 数据与策略由外接 ifinance 模块承担(静态包,见 `../ifinance/readme.md`)
- 报警并入「监控」;油价模块已下线
## 首页
## 宏观
首页显示新闻模块和报警模块的数据,按照时间最新优先,无限滚动,直到数据库中没有数据为止。
宏观页固定「新闻 / 经济文章」两个本地 tab,并动态挂载外接 ifinance `info.json` 的 `categories[]` 作为额外 tab:
### 新闻模块
增加一个新闻模块,数据来源是每日夜间 3 点,通过妙想 MCP 获取国内外最新经济政治新闻,按影响大小排序 10 条。存入数据库。
### 报警模块
World Bank 中的数据只用来对比妙想 MCP 拉取的数据正确性。当同一时间的同一项数据不同时,记录一个报警。
- 新闻:每日夜间 3 点通过妙想 MCP 获取国内外最新经济政治新闻,按影响大小排序 10 条,存入数据库;列表按时间倒序无限滚动。
- 经济文章:由 `content/articles/*.md` 承载的长文。
- 经济数据 / 策略研究 / …:交给外接 ifinance 模块,宿主只读取 `info.json` 并用 iframe 打开条目页(纯前端直连,见 `ifinance/readme.md` §9)。iBoard 本地不再保存指标 / 策略数据。
## 监控
监控分为服务器监控和服务监控两部分。服务器监控对接 komari,地址:<https://komari.honor3.com/>
监控分为主机监控 / 服务监控 / 环境监控 / 报警四个 tab。主机监控对接 komari:<https://komari.honor3.com/>;报警 tab 展示跨源数据差异与定时任务异常,按时间倒序。
---
-20
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@@ -27,21 +27,6 @@ export type User = Prisma.UserModel
*
*/
export type Article = Prisma.ArticleModel
/**
* Model Strategy
*
*/
export type Strategy = Prisma.StrategyModel
/**
* Model Indicator
*
*/
export type Indicator = Prisma.IndicatorModel
/**
* Model IndicatorPoint
*
*/
export type IndicatorPoint = Prisma.IndicatorPointModel
/**
* Model News
*
@@ -77,11 +62,6 @@ export type Econ_SowInventory = Prisma.Econ_SowInventoryModel
*
*/
export type ScraperCache = Prisma.ScraperCacheModel
/**
* Model OilPriceHistory
*
*/
export type OilPriceHistory = Prisma.OilPriceHistoryModel
/**
* Model MihomeAccount
*
-20
View File
@@ -51,21 +51,6 @@ export type User = Prisma.UserModel
*
*/
export type Article = Prisma.ArticleModel
/**
* Model Strategy
*
*/
export type Strategy = Prisma.StrategyModel
/**
* Model Indicator
*
*/
export type Indicator = Prisma.IndicatorModel
/**
* Model IndicatorPoint
*
*/
export type IndicatorPoint = Prisma.IndicatorPointModel
/**
* Model News
*
@@ -101,11 +86,6 @@ export type Econ_SowInventory = Prisma.Econ_SowInventoryModel
*
*/
export type ScraperCache = Prisma.ScraperCacheModel
/**
* Model OilPriceHistory
*
*/
export type OilPriceHistory = Prisma.OilPriceHistoryModel
/**
* Model MihomeAccount
*
+144 -144
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@@ -99,97 +99,6 @@ export type DateTimeWithAggregatesFilter<$PrismaModel = never> = {
_max?: Prisma.NestedDateTimeFilter<$PrismaModel>
}
export type JsonFilter<$PrismaModel = never> =
| Prisma.PatchUndefined<
Prisma.Either<Required<JsonFilterBase<$PrismaModel>>, Exclude<keyof Required<JsonFilterBase<$PrismaModel>>, 'path'>>,
Required<JsonFilterBase<$PrismaModel>>
>
| Prisma.OptionalFlat<Omit<Required<JsonFilterBase<$PrismaModel>>, 'path'>>
export type JsonFilterBase<$PrismaModel = never> = {
equals?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | Prisma.JsonNullValueFilter
path?: string[]
mode?: Prisma.QueryMode | Prisma.EnumQueryModeFieldRefInput<$PrismaModel>
string_contains?: string | Prisma.StringFieldRefInput<$PrismaModel>
string_starts_with?: string | Prisma.StringFieldRefInput<$PrismaModel>
string_ends_with?: string | Prisma.StringFieldRefInput<$PrismaModel>
array_starts_with?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | null
array_ends_with?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | null
array_contains?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | null
lt?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
lte?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
gt?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
gte?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
not?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | Prisma.JsonNullValueFilter
}
export type JsonWithAggregatesFilter<$PrismaModel = never> =
| Prisma.PatchUndefined<
Prisma.Either<Required<JsonWithAggregatesFilterBase<$PrismaModel>>, Exclude<keyof Required<JsonWithAggregatesFilterBase<$PrismaModel>>, 'path'>>,
Required<JsonWithAggregatesFilterBase<$PrismaModel>>
>
| Prisma.OptionalFlat<Omit<Required<JsonWithAggregatesFilterBase<$PrismaModel>>, 'path'>>
export type JsonWithAggregatesFilterBase<$PrismaModel = never> = {
equals?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | Prisma.JsonNullValueFilter
path?: string[]
mode?: Prisma.QueryMode | Prisma.EnumQueryModeFieldRefInput<$PrismaModel>
string_contains?: string | Prisma.StringFieldRefInput<$PrismaModel>
string_starts_with?: string | Prisma.StringFieldRefInput<$PrismaModel>
string_ends_with?: string | Prisma.StringFieldRefInput<$PrismaModel>
array_starts_with?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | null
array_ends_with?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | null
array_contains?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | null
lt?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
lte?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
gt?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
gte?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
not?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | Prisma.JsonNullValueFilter
_count?: Prisma.NestedIntFilter<$PrismaModel>
_min?: Prisma.NestedJsonFilter<$PrismaModel>
_max?: Prisma.NestedJsonFilter<$PrismaModel>
}
export type BoolFilter<$PrismaModel = never> = {
equals?: boolean | Prisma.BooleanFieldRefInput<$PrismaModel>
not?: Prisma.NestedBoolFilter<$PrismaModel> | boolean
}
export type BoolWithAggregatesFilter<$PrismaModel = never> = {
equals?: boolean | Prisma.BooleanFieldRefInput<$PrismaModel>
not?: Prisma.NestedBoolWithAggregatesFilter<$PrismaModel> | boolean
_count?: Prisma.NestedIntFilter<$PrismaModel>
_min?: Prisma.NestedBoolFilter<$PrismaModel>
_max?: Prisma.NestedBoolFilter<$PrismaModel>
}
export type FloatFilter<$PrismaModel = never> = {
equals?: number | Prisma.FloatFieldRefInput<$PrismaModel>
in?: number[] | Prisma.ListFloatFieldRefInput<$PrismaModel>
notIn?: number[] | Prisma.ListFloatFieldRefInput<$PrismaModel>
lt?: number | Prisma.FloatFieldRefInput<$PrismaModel>
lte?: number | Prisma.FloatFieldRefInput<$PrismaModel>
gt?: number | Prisma.FloatFieldRefInput<$PrismaModel>
gte?: number | Prisma.FloatFieldRefInput<$PrismaModel>
not?: Prisma.NestedFloatFilter<$PrismaModel> | number
}
export type FloatWithAggregatesFilter<$PrismaModel = never> = {
equals?: number | Prisma.FloatFieldRefInput<$PrismaModel>
in?: number[] | Prisma.ListFloatFieldRefInput<$PrismaModel>
notIn?: number[] | Prisma.ListFloatFieldRefInput<$PrismaModel>
lt?: number | Prisma.FloatFieldRefInput<$PrismaModel>
lte?: number | Prisma.FloatFieldRefInput<$PrismaModel>
gt?: number | Prisma.FloatFieldRefInput<$PrismaModel>
gte?: number | Prisma.FloatFieldRefInput<$PrismaModel>
not?: Prisma.NestedFloatWithAggregatesFilter<$PrismaModel> | number
_count?: Prisma.NestedIntFilter<$PrismaModel>
_avg?: Prisma.NestedFloatFilter<$PrismaModel>
_sum?: Prisma.NestedFloatFilter<$PrismaModel>
_min?: Prisma.NestedFloatFilter<$PrismaModel>
_max?: Prisma.NestedFloatFilter<$PrismaModel>
}
export type StringNullableFilter<$PrismaModel = never> = {
equals?: string | Prisma.StringFieldRefInput<$PrismaModel> | null
in?: string[] | Prisma.ListStringFieldRefInput<$PrismaModel> | null
@@ -228,6 +137,33 @@ export type StringNullableWithAggregatesFilter<$PrismaModel = never> = {
_max?: Prisma.NestedStringNullableFilter<$PrismaModel>
}
export type FloatFilter<$PrismaModel = never> = {
equals?: number | Prisma.FloatFieldRefInput<$PrismaModel>
in?: number[] | Prisma.ListFloatFieldRefInput<$PrismaModel>
notIn?: number[] | Prisma.ListFloatFieldRefInput<$PrismaModel>
lt?: number | Prisma.FloatFieldRefInput<$PrismaModel>
lte?: number | Prisma.FloatFieldRefInput<$PrismaModel>
gt?: number | Prisma.FloatFieldRefInput<$PrismaModel>
gte?: number | Prisma.FloatFieldRefInput<$PrismaModel>
not?: Prisma.NestedFloatFilter<$PrismaModel> | number
}
export type FloatWithAggregatesFilter<$PrismaModel = never> = {
equals?: number | Prisma.FloatFieldRefInput<$PrismaModel>
in?: number[] | Prisma.ListFloatFieldRefInput<$PrismaModel>
notIn?: number[] | Prisma.ListFloatFieldRefInput<$PrismaModel>
lt?: number | Prisma.FloatFieldRefInput<$PrismaModel>
lte?: number | Prisma.FloatFieldRefInput<$PrismaModel>
gt?: number | Prisma.FloatFieldRefInput<$PrismaModel>
gte?: number | Prisma.FloatFieldRefInput<$PrismaModel>
not?: Prisma.NestedFloatWithAggregatesFilter<$PrismaModel> | number
_count?: Prisma.NestedIntFilter<$PrismaModel>
_avg?: Prisma.NestedFloatFilter<$PrismaModel>
_sum?: Prisma.NestedFloatFilter<$PrismaModel>
_min?: Prisma.NestedFloatFilter<$PrismaModel>
_max?: Prisma.NestedFloatFilter<$PrismaModel>
}
export type BigIntFilter<$PrismaModel = never> = {
equals?: bigint | number | Prisma.BigIntFieldRefInput<$PrismaModel>
in?: bigint[] | number[] | Prisma.ListBigIntFieldRefInput<$PrismaModel>
@@ -328,6 +264,11 @@ export type DateTimeNullableFilter<$PrismaModel = never> = {
not?: Prisma.NestedDateTimeNullableFilter<$PrismaModel> | Date | string | null
}
export type BoolFilter<$PrismaModel = never> = {
equals?: boolean | Prisma.BooleanFieldRefInput<$PrismaModel>
not?: Prisma.NestedBoolFilter<$PrismaModel> | boolean
}
export type IntNullableWithAggregatesFilter<$PrismaModel = never> = {
equals?: number | Prisma.IntFieldRefInput<$PrismaModel> | null
in?: number[] | Prisma.ListIntFieldRefInput<$PrismaModel> | null
@@ -358,6 +299,14 @@ export type DateTimeNullableWithAggregatesFilter<$PrismaModel = never> = {
_max?: Prisma.NestedDateTimeNullableFilter<$PrismaModel>
}
export type BoolWithAggregatesFilter<$PrismaModel = never> = {
equals?: boolean | Prisma.BooleanFieldRefInput<$PrismaModel>
not?: Prisma.NestedBoolWithAggregatesFilter<$PrismaModel> | boolean
_count?: Prisma.NestedIntFilter<$PrismaModel>
_min?: Prisma.NestedBoolFilter<$PrismaModel>
_max?: Prisma.NestedBoolFilter<$PrismaModel>
}
export type FloatNullableFilter<$PrismaModel = never> = {
equals?: number | Prisma.FloatFieldRefInput<$PrismaModel> | null
in?: number[] | Prisma.ListFloatFieldRefInput<$PrismaModel> | null
@@ -385,6 +334,57 @@ export type FloatNullableWithAggregatesFilter<$PrismaModel = never> = {
_max?: Prisma.NestedFloatNullableFilter<$PrismaModel>
}
export type JsonFilter<$PrismaModel = never> =
| Prisma.PatchUndefined<
Prisma.Either<Required<JsonFilterBase<$PrismaModel>>, Exclude<keyof Required<JsonFilterBase<$PrismaModel>>, 'path'>>,
Required<JsonFilterBase<$PrismaModel>>
>
| Prisma.OptionalFlat<Omit<Required<JsonFilterBase<$PrismaModel>>, 'path'>>
export type JsonFilterBase<$PrismaModel = never> = {
equals?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | Prisma.JsonNullValueFilter
path?: string[]
mode?: Prisma.QueryMode | Prisma.EnumQueryModeFieldRefInput<$PrismaModel>
string_contains?: string | Prisma.StringFieldRefInput<$PrismaModel>
string_starts_with?: string | Prisma.StringFieldRefInput<$PrismaModel>
string_ends_with?: string | Prisma.StringFieldRefInput<$PrismaModel>
array_starts_with?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | null
array_ends_with?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | null
array_contains?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | null
lt?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
lte?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
gt?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
gte?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
not?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | Prisma.JsonNullValueFilter
}
export type JsonWithAggregatesFilter<$PrismaModel = never> =
| Prisma.PatchUndefined<
Prisma.Either<Required<JsonWithAggregatesFilterBase<$PrismaModel>>, Exclude<keyof Required<JsonWithAggregatesFilterBase<$PrismaModel>>, 'path'>>,
Required<JsonWithAggregatesFilterBase<$PrismaModel>>
>
| Prisma.OptionalFlat<Omit<Required<JsonWithAggregatesFilterBase<$PrismaModel>>, 'path'>>
export type JsonWithAggregatesFilterBase<$PrismaModel = never> = {
equals?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | Prisma.JsonNullValueFilter
path?: string[]
mode?: Prisma.QueryMode | Prisma.EnumQueryModeFieldRefInput<$PrismaModel>
string_contains?: string | Prisma.StringFieldRefInput<$PrismaModel>
string_starts_with?: string | Prisma.StringFieldRefInput<$PrismaModel>
string_ends_with?: string | Prisma.StringFieldRefInput<$PrismaModel>
array_starts_with?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | null
array_ends_with?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | null
array_contains?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | null
lt?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
lte?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
gt?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
gte?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
not?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | Prisma.JsonNullValueFilter
_count?: Prisma.NestedIntFilter<$PrismaModel>
_min?: Prisma.NestedJsonFilter<$PrismaModel>
_max?: Prisma.NestedJsonFilter<$PrismaModel>
}
export type NestedIntFilter<$PrismaModel = never> = {
equals?: number | Prisma.IntFieldRefInput<$PrismaModel>
in?: number[] | Prisma.ListIntFieldRefInput<$PrismaModel>
@@ -479,59 +479,6 @@ export type NestedDateTimeWithAggregatesFilter<$PrismaModel = never> = {
_max?: Prisma.NestedDateTimeFilter<$PrismaModel>
}
export type NestedJsonFilter<$PrismaModel = never> =
| Prisma.PatchUndefined<
Prisma.Either<Required<NestedJsonFilterBase<$PrismaModel>>, Exclude<keyof Required<NestedJsonFilterBase<$PrismaModel>>, 'path'>>,
Required<NestedJsonFilterBase<$PrismaModel>>
>
| Prisma.OptionalFlat<Omit<Required<NestedJsonFilterBase<$PrismaModel>>, 'path'>>
export type NestedJsonFilterBase<$PrismaModel = never> = {
equals?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | Prisma.JsonNullValueFilter
path?: string[]
mode?: Prisma.QueryMode | Prisma.EnumQueryModeFieldRefInput<$PrismaModel>
string_contains?: string | Prisma.StringFieldRefInput<$PrismaModel>
string_starts_with?: string | Prisma.StringFieldRefInput<$PrismaModel>
string_ends_with?: string | Prisma.StringFieldRefInput<$PrismaModel>
array_starts_with?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | null
array_ends_with?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | null
array_contains?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | null
lt?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
lte?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
gt?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
gte?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
not?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | Prisma.JsonNullValueFilter
}
export type NestedBoolFilter<$PrismaModel = never> = {
equals?: boolean | Prisma.BooleanFieldRefInput<$PrismaModel>
not?: Prisma.NestedBoolFilter<$PrismaModel> | boolean
}
export type NestedBoolWithAggregatesFilter<$PrismaModel = never> = {
equals?: boolean | Prisma.BooleanFieldRefInput<$PrismaModel>
not?: Prisma.NestedBoolWithAggregatesFilter<$PrismaModel> | boolean
_count?: Prisma.NestedIntFilter<$PrismaModel>
_min?: Prisma.NestedBoolFilter<$PrismaModel>
_max?: Prisma.NestedBoolFilter<$PrismaModel>
}
export type NestedFloatWithAggregatesFilter<$PrismaModel = never> = {
equals?: number | Prisma.FloatFieldRefInput<$PrismaModel>
in?: number[] | Prisma.ListFloatFieldRefInput<$PrismaModel>
notIn?: number[] | Prisma.ListFloatFieldRefInput<$PrismaModel>
lt?: number | Prisma.FloatFieldRefInput<$PrismaModel>
lte?: number | Prisma.FloatFieldRefInput<$PrismaModel>
gt?: number | Prisma.FloatFieldRefInput<$PrismaModel>
gte?: number | Prisma.FloatFieldRefInput<$PrismaModel>
not?: Prisma.NestedFloatWithAggregatesFilter<$PrismaModel> | number
_count?: Prisma.NestedIntFilter<$PrismaModel>
_avg?: Prisma.NestedFloatFilter<$PrismaModel>
_sum?: Prisma.NestedFloatFilter<$PrismaModel>
_min?: Prisma.NestedFloatFilter<$PrismaModel>
_max?: Prisma.NestedFloatFilter<$PrismaModel>
}
export type NestedStringNullableFilter<$PrismaModel = never> = {
equals?: string | Prisma.StringFieldRefInput<$PrismaModel> | null
in?: string[] | Prisma.ListStringFieldRefInput<$PrismaModel> | null
@@ -574,6 +521,22 @@ export type NestedIntNullableFilter<$PrismaModel = never> = {
not?: Prisma.NestedIntNullableFilter<$PrismaModel> | number | null
}
export type NestedFloatWithAggregatesFilter<$PrismaModel = never> = {
equals?: number | Prisma.FloatFieldRefInput<$PrismaModel>
in?: number[] | Prisma.ListFloatFieldRefInput<$PrismaModel>
notIn?: number[] | Prisma.ListFloatFieldRefInput<$PrismaModel>
lt?: number | Prisma.FloatFieldRefInput<$PrismaModel>
lte?: number | Prisma.FloatFieldRefInput<$PrismaModel>
gt?: number | Prisma.FloatFieldRefInput<$PrismaModel>
gte?: number | Prisma.FloatFieldRefInput<$PrismaModel>
not?: Prisma.NestedFloatWithAggregatesFilter<$PrismaModel> | number
_count?: Prisma.NestedIntFilter<$PrismaModel>
_avg?: Prisma.NestedFloatFilter<$PrismaModel>
_sum?: Prisma.NestedFloatFilter<$PrismaModel>
_min?: Prisma.NestedFloatFilter<$PrismaModel>
_max?: Prisma.NestedFloatFilter<$PrismaModel>
}
export type NestedBigIntFilter<$PrismaModel = never> = {
equals?: bigint | number | Prisma.BigIntFieldRefInput<$PrismaModel>
in?: bigint[] | number[] | Prisma.ListBigIntFieldRefInput<$PrismaModel>
@@ -636,6 +599,11 @@ export type NestedDateTimeNullableFilter<$PrismaModel = never> = {
not?: Prisma.NestedDateTimeNullableFilter<$PrismaModel> | Date | string | null
}
export type NestedBoolFilter<$PrismaModel = never> = {
equals?: boolean | Prisma.BooleanFieldRefInput<$PrismaModel>
not?: Prisma.NestedBoolFilter<$PrismaModel> | boolean
}
export type NestedIntNullableWithAggregatesFilter<$PrismaModel = never> = {
equals?: number | Prisma.IntFieldRefInput<$PrismaModel> | null
in?: number[] | Prisma.ListIntFieldRefInput<$PrismaModel> | null
@@ -677,6 +645,14 @@ export type NestedDateTimeNullableWithAggregatesFilter<$PrismaModel = never> = {
_max?: Prisma.NestedDateTimeNullableFilter<$PrismaModel>
}
export type NestedBoolWithAggregatesFilter<$PrismaModel = never> = {
equals?: boolean | Prisma.BooleanFieldRefInput<$PrismaModel>
not?: Prisma.NestedBoolWithAggregatesFilter<$PrismaModel> | boolean
_count?: Prisma.NestedIntFilter<$PrismaModel>
_min?: Prisma.NestedBoolFilter<$PrismaModel>
_max?: Prisma.NestedBoolFilter<$PrismaModel>
}
export type NestedFloatNullableWithAggregatesFilter<$PrismaModel = never> = {
equals?: number | Prisma.FloatFieldRefInput<$PrismaModel> | null
in?: number[] | Prisma.ListFloatFieldRefInput<$PrismaModel> | null
@@ -693,4 +669,28 @@ export type NestedFloatNullableWithAggregatesFilter<$PrismaModel = never> = {
_max?: Prisma.NestedFloatNullableFilter<$PrismaModel>
}
export type NestedJsonFilter<$PrismaModel = never> =
| Prisma.PatchUndefined<
Prisma.Either<Required<NestedJsonFilterBase<$PrismaModel>>, Exclude<keyof Required<NestedJsonFilterBase<$PrismaModel>>, 'path'>>,
Required<NestedJsonFilterBase<$PrismaModel>>
>
| Prisma.OptionalFlat<Omit<Required<NestedJsonFilterBase<$PrismaModel>>, 'path'>>
export type NestedJsonFilterBase<$PrismaModel = never> = {
equals?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | Prisma.JsonNullValueFilter
path?: string[]
mode?: Prisma.QueryMode | Prisma.EnumQueryModeFieldRefInput<$PrismaModel>
string_contains?: string | Prisma.StringFieldRefInput<$PrismaModel>
string_starts_with?: string | Prisma.StringFieldRefInput<$PrismaModel>
string_ends_with?: string | Prisma.StringFieldRefInput<$PrismaModel>
array_starts_with?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | null
array_ends_with?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | null
array_contains?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | null
lt?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
lte?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
gt?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
gte?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel>
not?: runtime.InputJsonValue | Prisma.JsonFieldRefInput<$PrismaModel> | Prisma.JsonNullValueFilter
}
File diff suppressed because one or more lines are too long
+37 -394
View File
@@ -386,9 +386,6 @@ type FieldRefInputType<Model, FieldType> = Model extends never ? never : FieldRe
export const ModelName = {
User: 'User',
Article: 'Article',
Strategy: 'Strategy',
Indicator: 'Indicator',
IndicatorPoint: 'IndicatorPoint',
News: 'News',
Alert: 'Alert',
ServerNode: 'ServerNode',
@@ -396,7 +393,6 @@ export const ModelName = {
ServiceCheck: 'ServiceCheck',
Econ_SowInventory: 'Econ_SowInventory',
ScraperCache: 'ScraperCache',
OilPriceHistory: 'OilPriceHistory',
MihomeAccount: 'MihomeAccount',
MihomeHome: 'MihomeHome',
MihomeDevice: 'MihomeDevice',
@@ -428,7 +424,7 @@ export type TypeMap<ExtArgs extends runtime.Types.Extensions.InternalArgs = runt
omit: GlobalOmitOptions
}
meta: {
modelProps: "user" | "article" | "strategy" | "indicator" | "indicatorPoint" | "news" | "alert" | "serverNode" | "serverNodeHistory" | "serviceCheck" | "econ_SowInventory" | "scraperCache" | "oilPriceHistory" | "mihomeAccount" | "mihomeHome" | "mihomeDevice" | "mihomeEnvSample" | "mihomeEnvHour" | "habit" | "checkIn" | "checkList" | "checkListItem" | "checkListTemplate" | "project" | "projectMember" | "boardColumn" | "task" | "taskMember" | "taskTag"
modelProps: "user" | "article" | "news" | "alert" | "serverNode" | "serverNodeHistory" | "serviceCheck" | "econ_SowInventory" | "scraperCache" | "mihomeAccount" | "mihomeHome" | "mihomeDevice" | "mihomeEnvSample" | "mihomeEnvHour" | "habit" | "checkIn" | "checkList" | "checkListItem" | "checkListTemplate" | "project" | "projectMember" | "boardColumn" | "task" | "taskMember" | "taskTag"
txIsolationLevel: TransactionIsolationLevel
}
model: {
@@ -580,228 +576,6 @@ export type TypeMap<ExtArgs extends runtime.Types.Extensions.InternalArgs = runt
}
}
}
Strategy: {
payload: Prisma.$StrategyPayload<ExtArgs>
fields: Prisma.StrategyFieldRefs
operations: {
findUnique: {
args: Prisma.StrategyFindUniqueArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$StrategyPayload> | null
}
findUniqueOrThrow: {
args: Prisma.StrategyFindUniqueOrThrowArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$StrategyPayload>
}
findFirst: {
args: Prisma.StrategyFindFirstArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$StrategyPayload> | null
}
findFirstOrThrow: {
args: Prisma.StrategyFindFirstOrThrowArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$StrategyPayload>
}
findMany: {
args: Prisma.StrategyFindManyArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$StrategyPayload>[]
}
create: {
args: Prisma.StrategyCreateArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$StrategyPayload>
}
createMany: {
args: Prisma.StrategyCreateManyArgs<ExtArgs>
result: BatchPayload
}
createManyAndReturn: {
args: Prisma.StrategyCreateManyAndReturnArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$StrategyPayload>[]
}
delete: {
args: Prisma.StrategyDeleteArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$StrategyPayload>
}
update: {
args: Prisma.StrategyUpdateArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$StrategyPayload>
}
deleteMany: {
args: Prisma.StrategyDeleteManyArgs<ExtArgs>
result: BatchPayload
}
updateMany: {
args: Prisma.StrategyUpdateManyArgs<ExtArgs>
result: BatchPayload
}
updateManyAndReturn: {
args: Prisma.StrategyUpdateManyAndReturnArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$StrategyPayload>[]
}
upsert: {
args: Prisma.StrategyUpsertArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$StrategyPayload>
}
aggregate: {
args: Prisma.StrategyAggregateArgs<ExtArgs>
result: runtime.Types.Utils.Optional<Prisma.AggregateStrategy>
}
groupBy: {
args: Prisma.StrategyGroupByArgs<ExtArgs>
result: runtime.Types.Utils.Optional<Prisma.StrategyGroupByOutputType>[]
}
count: {
args: Prisma.StrategyCountArgs<ExtArgs>
result: runtime.Types.Utils.Optional<Prisma.StrategyCountAggregateOutputType> | number
}
}
}
Indicator: {
payload: Prisma.$IndicatorPayload<ExtArgs>
fields: Prisma.IndicatorFieldRefs
operations: {
findUnique: {
args: Prisma.IndicatorFindUniqueArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$IndicatorPayload> | null
}
findUniqueOrThrow: {
args: Prisma.IndicatorFindUniqueOrThrowArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$IndicatorPayload>
}
findFirst: {
args: Prisma.IndicatorFindFirstArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$IndicatorPayload> | null
}
findFirstOrThrow: {
args: Prisma.IndicatorFindFirstOrThrowArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$IndicatorPayload>
}
findMany: {
args: Prisma.IndicatorFindManyArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$IndicatorPayload>[]
}
create: {
args: Prisma.IndicatorCreateArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$IndicatorPayload>
}
createMany: {
args: Prisma.IndicatorCreateManyArgs<ExtArgs>
result: BatchPayload
}
createManyAndReturn: {
args: Prisma.IndicatorCreateManyAndReturnArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$IndicatorPayload>[]
}
delete: {
args: Prisma.IndicatorDeleteArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$IndicatorPayload>
}
update: {
args: Prisma.IndicatorUpdateArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$IndicatorPayload>
}
deleteMany: {
args: Prisma.IndicatorDeleteManyArgs<ExtArgs>
result: BatchPayload
}
updateMany: {
args: Prisma.IndicatorUpdateManyArgs<ExtArgs>
result: BatchPayload
}
updateManyAndReturn: {
args: Prisma.IndicatorUpdateManyAndReturnArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$IndicatorPayload>[]
}
upsert: {
args: Prisma.IndicatorUpsertArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$IndicatorPayload>
}
aggregate: {
args: Prisma.IndicatorAggregateArgs<ExtArgs>
result: runtime.Types.Utils.Optional<Prisma.AggregateIndicator>
}
groupBy: {
args: Prisma.IndicatorGroupByArgs<ExtArgs>
result: runtime.Types.Utils.Optional<Prisma.IndicatorGroupByOutputType>[]
}
count: {
args: Prisma.IndicatorCountArgs<ExtArgs>
result: runtime.Types.Utils.Optional<Prisma.IndicatorCountAggregateOutputType> | number
}
}
}
IndicatorPoint: {
payload: Prisma.$IndicatorPointPayload<ExtArgs>
fields: Prisma.IndicatorPointFieldRefs
operations: {
findUnique: {
args: Prisma.IndicatorPointFindUniqueArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$IndicatorPointPayload> | null
}
findUniqueOrThrow: {
args: Prisma.IndicatorPointFindUniqueOrThrowArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$IndicatorPointPayload>
}
findFirst: {
args: Prisma.IndicatorPointFindFirstArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$IndicatorPointPayload> | null
}
findFirstOrThrow: {
args: Prisma.IndicatorPointFindFirstOrThrowArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$IndicatorPointPayload>
}
findMany: {
args: Prisma.IndicatorPointFindManyArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$IndicatorPointPayload>[]
}
create: {
args: Prisma.IndicatorPointCreateArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$IndicatorPointPayload>
}
createMany: {
args: Prisma.IndicatorPointCreateManyArgs<ExtArgs>
result: BatchPayload
}
createManyAndReturn: {
args: Prisma.IndicatorPointCreateManyAndReturnArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$IndicatorPointPayload>[]
}
delete: {
args: Prisma.IndicatorPointDeleteArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$IndicatorPointPayload>
}
update: {
args: Prisma.IndicatorPointUpdateArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$IndicatorPointPayload>
}
deleteMany: {
args: Prisma.IndicatorPointDeleteManyArgs<ExtArgs>
result: BatchPayload
}
updateMany: {
args: Prisma.IndicatorPointUpdateManyArgs<ExtArgs>
result: BatchPayload
}
updateManyAndReturn: {
args: Prisma.IndicatorPointUpdateManyAndReturnArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$IndicatorPointPayload>[]
}
upsert: {
args: Prisma.IndicatorPointUpsertArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$IndicatorPointPayload>
}
aggregate: {
args: Prisma.IndicatorPointAggregateArgs<ExtArgs>
result: runtime.Types.Utils.Optional<Prisma.AggregateIndicatorPoint>
}
groupBy: {
args: Prisma.IndicatorPointGroupByArgs<ExtArgs>
result: runtime.Types.Utils.Optional<Prisma.IndicatorPointGroupByOutputType>[]
}
count: {
args: Prisma.IndicatorPointCountArgs<ExtArgs>
result: runtime.Types.Utils.Optional<Prisma.IndicatorPointCountAggregateOutputType> | number
}
}
}
News: {
payload: Prisma.$NewsPayload<ExtArgs>
fields: Prisma.NewsFieldRefs
@@ -1320,80 +1094,6 @@ export type TypeMap<ExtArgs extends runtime.Types.Extensions.InternalArgs = runt
}
}
}
OilPriceHistory: {
payload: Prisma.$OilPriceHistoryPayload<ExtArgs>
fields: Prisma.OilPriceHistoryFieldRefs
operations: {
findUnique: {
args: Prisma.OilPriceHistoryFindUniqueArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$OilPriceHistoryPayload> | null
}
findUniqueOrThrow: {
args: Prisma.OilPriceHistoryFindUniqueOrThrowArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$OilPriceHistoryPayload>
}
findFirst: {
args: Prisma.OilPriceHistoryFindFirstArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$OilPriceHistoryPayload> | null
}
findFirstOrThrow: {
args: Prisma.OilPriceHistoryFindFirstOrThrowArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$OilPriceHistoryPayload>
}
findMany: {
args: Prisma.OilPriceHistoryFindManyArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$OilPriceHistoryPayload>[]
}
create: {
args: Prisma.OilPriceHistoryCreateArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$OilPriceHistoryPayload>
}
createMany: {
args: Prisma.OilPriceHistoryCreateManyArgs<ExtArgs>
result: BatchPayload
}
createManyAndReturn: {
args: Prisma.OilPriceHistoryCreateManyAndReturnArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$OilPriceHistoryPayload>[]
}
delete: {
args: Prisma.OilPriceHistoryDeleteArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$OilPriceHistoryPayload>
}
update: {
args: Prisma.OilPriceHistoryUpdateArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$OilPriceHistoryPayload>
}
deleteMany: {
args: Prisma.OilPriceHistoryDeleteManyArgs<ExtArgs>
result: BatchPayload
}
updateMany: {
args: Prisma.OilPriceHistoryUpdateManyArgs<ExtArgs>
result: BatchPayload
}
updateManyAndReturn: {
args: Prisma.OilPriceHistoryUpdateManyAndReturnArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$OilPriceHistoryPayload>[]
}
upsert: {
args: Prisma.OilPriceHistoryUpsertArgs<ExtArgs>
result: runtime.Types.Utils.PayloadToResult<Prisma.$OilPriceHistoryPayload>
}
aggregate: {
args: Prisma.OilPriceHistoryAggregateArgs<ExtArgs>
result: runtime.Types.Utils.Optional<Prisma.AggregateOilPriceHistory>
}
groupBy: {
args: Prisma.OilPriceHistoryGroupByArgs<ExtArgs>
result: runtime.Types.Utils.Optional<Prisma.OilPriceHistoryGroupByOutputType>[]
}
count: {
args: Prisma.OilPriceHistoryCountArgs<ExtArgs>
result: runtime.Types.Utils.Optional<Prisma.OilPriceHistoryCountAggregateOutputType> | number
}
}
}
MihomeAccount: {
payload: Prisma.$MihomeAccountPayload<ExtArgs>
fields: Prisma.MihomeAccountFieldRefs
@@ -2642,46 +2342,6 @@ export const ArticleScalarFieldEnum = {
export type ArticleScalarFieldEnum = (typeof ArticleScalarFieldEnum)[keyof typeof ArticleScalarFieldEnum]
export const StrategyScalarFieldEnum = {
id: 'id',
name: 'name',
description: 'description',
data: 'data',
createdAt: 'createdAt',
updatedAt: 'updatedAt'
} as const
export type StrategyScalarFieldEnum = (typeof StrategyScalarFieldEnum)[keyof typeof StrategyScalarFieldEnum]
export const IndicatorScalarFieldEnum = {
id: 'id',
name: 'name',
groupName: 'groupName',
title: 'title',
unit: 'unit',
source: 'source',
frequency: 'frequency',
hidden: 'hidden',
createdAt: 'createdAt',
updatedAt: 'updatedAt'
} as const
export type IndicatorScalarFieldEnum = (typeof IndicatorScalarFieldEnum)[keyof typeof IndicatorScalarFieldEnum]
export const IndicatorPointScalarFieldEnum = {
id: 'id',
indicatorId: 'indicatorId',
period: 'period',
value: 'value',
createdAt: 'createdAt',
updatedAt: 'updatedAt'
} as const
export type IndicatorPointScalarFieldEnum = (typeof IndicatorPointScalarFieldEnum)[keyof typeof IndicatorPointScalarFieldEnum]
export const NewsScalarFieldEnum = {
id: 'id',
title: 'title',
@@ -2801,19 +2461,6 @@ export const ScraperCacheScalarFieldEnum = {
export type ScraperCacheScalarFieldEnum = (typeof ScraperCacheScalarFieldEnum)[keyof typeof ScraperCacheScalarFieldEnum]
export const OilPriceHistoryScalarFieldEnum = {
id: 'id',
date: 'date',
province: 'province',
fuel: 'fuel',
price: 'price',
source: 'source',
createdAt: 'createdAt'
} as const
export type OilPriceHistoryScalarFieldEnum = (typeof OilPriceHistoryScalarFieldEnum)[keyof typeof OilPriceHistoryScalarFieldEnum]
export const MihomeAccountScalarFieldEnum = {
id: 'id',
key: 'key',
@@ -3076,13 +2723,6 @@ export const SortOrder = {
export type SortOrder = (typeof SortOrder)[keyof typeof SortOrder]
export const JsonNullValueInput = {
JsonNull: JsonNull
} as const
export type JsonNullValueInput = (typeof JsonNullValueInput)[keyof typeof JsonNullValueInput]
export const NullableJsonNullValueInput = {
DbNull: DbNull,
JsonNull: JsonNull
@@ -3091,6 +2731,13 @@ export const NullableJsonNullValueInput = {
export type NullableJsonNullValueInput = (typeof NullableJsonNullValueInput)[keyof typeof NullableJsonNullValueInput]
export const JsonNullValueInput = {
JsonNull: JsonNull
} as const
export type JsonNullValueInput = (typeof JsonNullValueInput)[keyof typeof JsonNullValueInput]
export const QueryMode = {
default: 'default',
insensitive: 'insensitive'
@@ -3099,6 +2746,14 @@ export const QueryMode = {
export type QueryMode = (typeof QueryMode)[keyof typeof QueryMode]
export const NullsOrder = {
first: 'first',
last: 'last'
} as const
export type NullsOrder = (typeof NullsOrder)[keyof typeof NullsOrder]
export const JsonNullValueFilter = {
DbNull: DbNull,
JsonNull: JsonNull,
@@ -3108,14 +2763,6 @@ export const JsonNullValueFilter = {
export type JsonNullValueFilter = (typeof JsonNullValueFilter)[keyof typeof JsonNullValueFilter]
export const NullsOrder = {
first: 'first',
last: 'last'
} as const
export type NullsOrder = (typeof NullsOrder)[keyof typeof NullsOrder]
/**
* Field references
@@ -3164,27 +2811,6 @@ export type ListDateTimeFieldRefInput<$PrismaModel> = FieldRefInputType<$PrismaM
/**
* Reference to a field of type 'Json'
*/
export type JsonFieldRefInput<$PrismaModel> = FieldRefInputType<$PrismaModel, 'Json'>
/**
* Reference to a field of type 'QueryMode'
*/
export type EnumQueryModeFieldRefInput<$PrismaModel> = FieldRefInputType<$PrismaModel, 'QueryMode'>
/**
* Reference to a field of type 'Boolean'
*/
export type BooleanFieldRefInput<$PrismaModel> = FieldRefInputType<$PrismaModel, 'Boolean'>
/**
* Reference to a field of type 'Float'
*/
@@ -3212,6 +2838,27 @@ export type BigIntFieldRefInput<$PrismaModel> = FieldRefInputType<$PrismaModel,
export type ListBigIntFieldRefInput<$PrismaModel> = FieldRefInputType<$PrismaModel, 'BigInt[]'>
/**
* Reference to a field of type 'Json'
*/
export type JsonFieldRefInput<$PrismaModel> = FieldRefInputType<$PrismaModel, 'Json'>
/**
* Reference to a field of type 'QueryMode'
*/
export type EnumQueryModeFieldRefInput<$PrismaModel> = FieldRefInputType<$PrismaModel, 'QueryMode'>
/**
* Reference to a field of type 'Boolean'
*/
export type BooleanFieldRefInput<$PrismaModel> = FieldRefInputType<$PrismaModel, 'Boolean'>
/**
* Batch Payload for updateMany & deleteMany & createMany
*/
@@ -3309,9 +2956,6 @@ export type PrismaClientOptions = ({
export type GlobalOmitConfig = {
user?: Prisma.UserOmit
article?: Prisma.ArticleOmit
strategy?: Prisma.StrategyOmit
indicator?: Prisma.IndicatorOmit
indicatorPoint?: Prisma.IndicatorPointOmit
news?: Prisma.NewsOmit
alert?: Prisma.AlertOmit
serverNode?: Prisma.ServerNodeOmit
@@ -3319,7 +2963,6 @@ export type GlobalOmitConfig = {
serviceCheck?: Prisma.ServiceCheckOmit
econ_SowInventory?: Prisma.Econ_SowInventoryOmit
scraperCache?: Prisma.ScraperCacheOmit
oilPriceHistory?: Prisma.OilPriceHistoryOmit
mihomeAccount?: Prisma.MihomeAccountOmit
mihomeHome?: Prisma.MihomeHomeOmit
mihomeDevice?: Prisma.MihomeDeviceOmit
@@ -53,9 +53,6 @@ export const AnyNull = runtime.AnyNull
export const ModelName = {
User: 'User',
Article: 'Article',
Strategy: 'Strategy',
Indicator: 'Indicator',
IndicatorPoint: 'IndicatorPoint',
News: 'News',
Alert: 'Alert',
ServerNode: 'ServerNode',
@@ -63,7 +60,6 @@ export const ModelName = {
ServiceCheck: 'ServiceCheck',
Econ_SowInventory: 'Econ_SowInventory',
ScraperCache: 'ScraperCache',
OilPriceHistory: 'OilPriceHistory',
MihomeAccount: 'MihomeAccount',
MihomeHome: 'MihomeHome',
MihomeDevice: 'MihomeDevice',
@@ -123,46 +119,6 @@ export const ArticleScalarFieldEnum = {
export type ArticleScalarFieldEnum = (typeof ArticleScalarFieldEnum)[keyof typeof ArticleScalarFieldEnum]
export const StrategyScalarFieldEnum = {
id: 'id',
name: 'name',
description: 'description',
data: 'data',
createdAt: 'createdAt',
updatedAt: 'updatedAt'
} as const
export type StrategyScalarFieldEnum = (typeof StrategyScalarFieldEnum)[keyof typeof StrategyScalarFieldEnum]
export const IndicatorScalarFieldEnum = {
id: 'id',
name: 'name',
groupName: 'groupName',
title: 'title',
unit: 'unit',
source: 'source',
frequency: 'frequency',
hidden: 'hidden',
createdAt: 'createdAt',
updatedAt: 'updatedAt'
} as const
export type IndicatorScalarFieldEnum = (typeof IndicatorScalarFieldEnum)[keyof typeof IndicatorScalarFieldEnum]
export const IndicatorPointScalarFieldEnum = {
id: 'id',
indicatorId: 'indicatorId',
period: 'period',
value: 'value',
createdAt: 'createdAt',
updatedAt: 'updatedAt'
} as const
export type IndicatorPointScalarFieldEnum = (typeof IndicatorPointScalarFieldEnum)[keyof typeof IndicatorPointScalarFieldEnum]
export const NewsScalarFieldEnum = {
id: 'id',
title: 'title',
@@ -282,19 +238,6 @@ export const ScraperCacheScalarFieldEnum = {
export type ScraperCacheScalarFieldEnum = (typeof ScraperCacheScalarFieldEnum)[keyof typeof ScraperCacheScalarFieldEnum]
export const OilPriceHistoryScalarFieldEnum = {
id: 'id',
date: 'date',
province: 'province',
fuel: 'fuel',
price: 'price',
source: 'source',
createdAt: 'createdAt'
} as const
export type OilPriceHistoryScalarFieldEnum = (typeof OilPriceHistoryScalarFieldEnum)[keyof typeof OilPriceHistoryScalarFieldEnum]
export const MihomeAccountScalarFieldEnum = {
id: 'id',
key: 'key',
@@ -557,13 +500,6 @@ export const SortOrder = {
export type SortOrder = (typeof SortOrder)[keyof typeof SortOrder]
export const JsonNullValueInput = {
JsonNull: JsonNull
} as const
export type JsonNullValueInput = (typeof JsonNullValueInput)[keyof typeof JsonNullValueInput]
export const NullableJsonNullValueInput = {
DbNull: DbNull,
JsonNull: JsonNull
@@ -572,6 +508,13 @@ export const NullableJsonNullValueInput = {
export type NullableJsonNullValueInput = (typeof NullableJsonNullValueInput)[keyof typeof NullableJsonNullValueInput]
export const JsonNullValueInput = {
JsonNull: JsonNull
} as const
export type JsonNullValueInput = (typeof JsonNullValueInput)[keyof typeof JsonNullValueInput]
export const QueryMode = {
default: 'default',
insensitive: 'insensitive'
@@ -580,6 +523,14 @@ export const QueryMode = {
export type QueryMode = (typeof QueryMode)[keyof typeof QueryMode]
export const NullsOrder = {
first: 'first',
last: 'last'
} as const
export type NullsOrder = (typeof NullsOrder)[keyof typeof NullsOrder]
export const JsonNullValueFilter = {
DbNull: DbNull,
JsonNull: JsonNull,
@@ -588,11 +539,3 @@ export const JsonNullValueFilter = {
export type JsonNullValueFilter = (typeof JsonNullValueFilter)[keyof typeof JsonNullValueFilter]
export const NullsOrder = {
first: 'first',
last: 'last'
} as const
export type NullsOrder = (typeof NullsOrder)[keyof typeof NullsOrder]
-4
View File
@@ -10,9 +10,6 @@
*/
export type * from './models/User.ts'
export type * from './models/Article.ts'
export type * from './models/Strategy.ts'
export type * from './models/Indicator.ts'
export type * from './models/IndicatorPoint.ts'
export type * from './models/News.ts'
export type * from './models/Alert.ts'
export type * from './models/ServerNode.ts'
@@ -20,7 +17,6 @@ export type * from './models/ServerNodeHistory.ts'
export type * from './models/ServiceCheck.ts'
export type * from './models/Econ_SowInventory.ts'
export type * from './models/ScraperCache.ts'
export type * from './models/OilPriceHistory.ts'
export type * from './models/MihomeAccount.ts'
export type * from './models/MihomeHome.ts'
export type * from './models/MihomeDevice.ts'
+8
View File
@@ -480,6 +480,14 @@ export type AlertSumOrderByAggregateInput = {
diffRatio?: Prisma.SortOrder
}
export type FloatFieldUpdateOperationsInput = {
set?: number
increment?: number
decrement?: number
multiply?: number
divide?: number
}
export type AlertSelect<ExtArgs extends runtime.Types.Extensions.InternalArgs = runtime.Types.Extensions.DefaultArgs> = runtime.Types.Extensions.GetSelect<{
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+4
View File
@@ -737,6 +737,10 @@ export type NullableDateTimeFieldUpdateOperationsInput = {
set?: Date | string | null
}
export type BoolFieldUpdateOperationsInput = {
set?: boolean
}
export type MihomeDeviceCreateNestedOneWithoutSamplesInput = {
create?: Prisma.XOR<Prisma.MihomeDeviceCreateWithoutSamplesInput, Prisma.MihomeDeviceUncheckedCreateWithoutSamplesInput>
connectOrCreate?: Prisma.MihomeDeviceCreateOrConnectWithoutSamplesInput
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+1 -1
View File
@@ -5,7 +5,7 @@
<link rel="icon" type="image/svg+xml" href="/favicon.svg" />
<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1, user-scalable=no, viewport-fit=cover" />
<meta name="theme-color" content="#1f2937" />
<title>iBoard - 经济数据与策略</title>
<title>iBoard - 个人看板</title>
</head>
<body>
<div id="root"></div>
-2
View File
@@ -18,8 +18,6 @@
"db:migrate": "prisma migrate deploy",
"db:seed": "node scripts/seed.cjs",
"registry:sync": "node scripts/sync-registry.mjs",
"data:refresh": "node --no-warnings scripts/refresh-indicators.cjs",
"data:discover": "node --no-warnings scripts/discover-mcp-tools.cjs",
"icons": "node scripts/generate-icons.mjs",
"tauri:dev": "tauri dev",
"tauri:build": "tauri build",
@@ -0,0 +1,6 @@
-- V0.2.2: 宏观「经济数据 / 策略研究」迁至外接 ifinance 模块, 油模块下线
-- 彻底移除本地指标/策略/油价数据表 (数据源改由 tortoise/ifinance 承担)
DROP TABLE IF EXISTS "IndicatorPoint" CASCADE;
DROP TABLE IF EXISTS "Indicator" CASCADE;
DROP TABLE IF EXISTS "Strategy" CASCADE;
DROP TABLE IF EXISTS "OilPriceHistory" CASCADE;
+1 -55
View File
@@ -44,41 +44,6 @@ model Article {
updatedAt DateTime @updatedAt
}
model Strategy {
id Int @id @default(autoincrement())
name String
description String
data Json
createdAt DateTime @default(now())
updatedAt DateTime @updatedAt
}
model Indicator {
id Int @id @default(autoincrement())
name String @unique
groupName String
title String @default("")
unit String @default("")
source String @default("")
frequency String @default("month") // year | quarter | month | day
hidden Boolean @default(false) // true = 数据/脚本保留, 但不在前端展示
points IndicatorPoint[]
createdAt DateTime @default(now())
updatedAt DateTime @updatedAt
}
model IndicatorPoint {
id Int @id @default(autoincrement())
indicatorId Int
indicator Indicator @relation(fields: [indicatorId], references: [id], onDelete: Cascade)
period String // "2024" | "2024-Q1" | "2024-01" | "2024-01-15"
value Float
createdAt DateTime @default(now())
updatedAt DateTime @updatedAt
@@unique([indicatorId, period])
}
// 新闻: 每天 3 点由 mx_finance_search_news 拉取, 按影响大小排序, 累加多日供首页无限滚动
model News {
@@ -96,7 +61,7 @@ model News {
@@index([publishedAt])
}
// 报警: refresh 写库时比对同 (indicatorName, period) 的跨源数据, 差异超阈值记录
// 报警: 定时任务失败等异常写入 (展示于「监控」报警 tab)
model Alert {
id Int @id @default(autoincrement())
indicatorName String
@@ -194,25 +159,6 @@ model ScraperCache {
}
// 浙江省油价历史 (apizero price 接口每日抓取)
// 每天 04:00 cron 触发: 检查 schedule 里待定且 <= 昨天的调价日, 抓 price?province=浙江 存本表
// unique (date, province, fuel) 防重复
model OilPriceHistory {
id Int @id @default(autoincrement())
date DateTime // 调价日次日 (即数据实际抓取日)
province String // '浙江'
fuel String // '92' | '95' | '0'
price Float // 油价 (元/升, 4 位小数足够)
source String @default("apizero")
createdAt DateTime @default(now())
@@unique([date, province, fuel])
@@index([province, fuel, date])
}
// ==================== 环境监控:米家 ====================
// 米家授权状态 (DiskCache 存凭证, 本表只存状态/错误供前端展示)
+347
View File
@@ -0,0 +1,347 @@
{
"schema": 2,
"name": "ifinance",
"version": "0.2.0",
"buildId": "20261030.1442",
"buildHash": "76353f01070db7938dd7225ea9719c004052f0f5c740d4bcddb13ca880328fe0",
"generatedAt": "2026-10-30T14:42:19+08:00",
"generator": "tortoise/tools/ifinance/build.py",
"source": {
"project": "tortoise",
"upstream": "iboard-prod-pg-1"
},
"cache": {
"mode": "hash",
"digest": "sha256",
"manifest": "files",
"key": "path",
"revalidate": "info.json"
},
"categories": [
{
"id": "econ",
"name": "经济数据",
"count": 8,
"items": [
{
"id": "china-bond-10y",
"kind": "indicator",
"title": "中国国债 10 年期收益率",
"group": "china-macro",
"unit": "%",
"frequency": "month",
"subtitle": "1.71% · 2026-08",
"points": 32,
"html": "public/econ/china-bond-10y.html",
"json": "public/econ/china-bond-10y.json",
"hash": "3b5fef761b59afb6869fa2a73fe117fb69dcbefea3d39d7cd1859004162a52e7",
"bytes": 5630,
"jsonHash": "72b493417070df9c772d6afc8604b6db99e5889d36c59d45bcd92f2dafa261ca"
},
{
"id": "china-bond-1y",
"kind": "indicator",
"title": "中国国债 1 年期收益率",
"group": "china-macro",
"unit": "%",
"frequency": "month",
"subtitle": "1.17% · 2026-08",
"points": 32,
"html": "public/econ/china-bond-1y.html",
"json": "public/econ/china-bond-1y.json",
"hash": "7639c558bba083cc9a25f8a156419138937d8712612dee34ed2b89890a4d9fec",
"bytes": 5628,
"jsonHash": "1eb0575b5eac06c78104974b75b8f106cb92bc6d87113652f7f457ee5c988fc2"
},
{
"id": "china-cpi",
"kind": "indicator",
"title": "中国 CPI",
"group": "china-macro",
"unit": "%",
"frequency": "year",
"subtitle": "0.06% · 2025",
"points": 11,
"html": "public/econ/china-cpi.html",
"json": "public/econ/china-cpi.json",
"hash": "9ff611705ff82a56acbbf96e337e0a79bfe2f2a22fc8c5b852928af85d7b3de2",
"bytes": 4236,
"jsonHash": "6007ad45542047c0e343c0cc590d9fcde63d9c820ff99f0a93f61a8560209ebf"
},
{
"id": "china-cpi-yoy",
"kind": "indicator",
"title": "中国 CPI 同比",
"group": "china-macro",
"unit": "%",
"frequency": "month",
"subtitle": "1% · 2026-06",
"points": 36,
"html": "public/econ/china-cpi-yoy.html",
"json": "public/econ/china-cpi-yoy.json",
"hash": "cb51b54b2f6bf172aa3e87ac368ce67c7398dbc51e2f033b0eac0d367cb62a0e",
"bytes": 5627,
"jsonHash": "16735f992a47c448fe1b175abd15174c4c6a19df4e8f1084580f9d1882009d44"
},
{
"id": "china-lpr-1y",
"kind": "indicator",
"title": "中国 LPR 1 年期",
"group": "china-macro",
"unit": "%",
"frequency": "month",
"subtitle": "3% · 2026-07",
"points": 31,
"html": "public/econ/china-lpr-1y.html",
"json": "public/econ/china-lpr-1y.json",
"hash": "5f7254dc86f98bf32cfd06d37d9b329bcff87513057583bdf669b8691a3f4bcf",
"bytes": 5327,
"jsonHash": "7300679627550b75fa2fae62888b79e6f12a8386d2d3f2dec9bd2925387d8aa7"
},
{
"id": "china-lpr-5y",
"kind": "indicator",
"title": "中国 LPR 5 年期",
"group": "china-macro",
"unit": "%",
"frequency": "month",
"subtitle": "3.5% · 2026-07",
"points": 31,
"html": "public/econ/china-lpr-5y.html",
"json": "public/econ/china-lpr-5y.json",
"hash": "e32519d06f0ca7a601e933ce704d44d59a0ab3b2fb046a6754ad4ef3ed71b742",
"bytes": 5498,
"jsonHash": "99d4b4d900e5a99f60b294eb9fca87145ad20b44995ef2178061cc832c2599e8"
},
{
"id": "us-bond-1y",
"kind": "indicator",
"title": "美国国债1年",
"group": "us-bond",
"unit": "%",
"frequency": "month",
"subtitle": "4.45% · 2024-06",
"points": 6,
"html": "public/econ/us-bond-1y.html",
"json": "public/econ/us-bond-1y.json",
"hash": "c972cd658b5db614ec94135dc8f7816366a8ed526360514cfb53c64f9df09dfa",
"bytes": 3736,
"jsonHash": "82a7af636dd597bde08bc9cb7e22ab4e9de6754ffc30614d78ba1a96e6715a4a"
},
{
"id": "usa-cpi",
"kind": "indicator",
"title": "美国 CPI",
"group": "usa-macro",
"unit": "%",
"frequency": "year",
"subtitle": "2.95% · 2024",
"points": 10,
"html": "public/econ/usa-cpi.html",
"json": "public/econ/usa-cpi.json",
"hash": "f4aec9f8c2aee8835166e71a7799c87c8f0288f0fc9760b85620bc98c7bd9721",
"bytes": 4187,
"jsonHash": "0273f88e376d166528e60338beff1e0878e98336c26c759f36daa078acb92d87"
}
]
},
{
"id": "strategy",
"name": "策略研究",
"count": 5,
"items": [
{
"id": "china-debt-gdp",
"kind": "strategy",
"title": "中国政府债务/GDP分析",
"subtitle": "债务/GDP 75.7% · 2024",
"points": 6,
"html": "public/strategy/china-debt-gdp.html",
"json": "public/strategy/china-debt-gdp.json",
"hash": "acffe06524dbfee764411b8690d02393bbaa1d7ad2275a58ac132fe256ff69c8",
"bytes": 7331,
"jsonHash": "6b2c3da5e4751c0c13dc2cc10d706c08ee6400eca8a9e6636ea0a25dca374590"
},
{
"id": "us-debt-gdp",
"kind": "strategy",
"title": "美国政府债务/GDP分析",
"subtitle": "债务/GDP 123.9% · 2024",
"points": 6,
"html": "public/strategy/us-debt-gdp.html",
"json": "public/strategy/us-debt-gdp.json",
"hash": "cfb9ec15e457633e6d13689ab9802d646201a8fba9be3fb69710370a40ace365",
"bytes": 7477,
"jsonHash": "69d6d977057faac7ab10a5f43e4f5feb5e47539d6dc77e7fd93b533653abc50a"
},
{
"id": "a500_chart",
"kind": "dashboard",
"title": "中证 A500 综合看板",
"subtitle": "价格 / PE-PB-股息率 四面板 + 持仓 + ETF",
"html": "public/dashboards/a500_chart.html",
"hash": "43d3a8849a6a83137f07d51602972b3f51226aa4ffaf765d4423b82298dd07c2",
"bytes": 1508412
},
{
"id": "cni_fcf_chart",
"kind": "dashboard",
"title": "国证自由现金流看板",
"subtitle": "980092 · 可与中证自由现金流叠加对比",
"html": "public/dashboards/cni_fcf_chart.html",
"hash": "9c239f41f525959a41594578efa041dfca5c76f652b0777fe79caae023643ed3",
"bytes": 1392856
},
{
"id": "csi_fcf_chart",
"kind": "dashboard",
"title": "中证自由现金流看板",
"subtitle": "932365 · 可与国证自由现金流叠加对比",
"html": "public/dashboards/csi_fcf_chart.html",
"hash": "4b0b6e24b01550ae7e1ab2d85237ff6cda9349d004ec35df73511d2a32bd88ec",
"bytes": 1344984
}
]
}
],
"files": [
{
"path": "public/dashboards/a500_chart.html",
"hash": "43d3a8849a6a83137f07d51602972b3f51226aa4ffaf765d4423b82298dd07c2",
"bytes": 1508412,
"type": "text/html"
},
{
"path": "public/dashboards/cni_fcf_chart.html",
"hash": "9c239f41f525959a41594578efa041dfca5c76f652b0777fe79caae023643ed3",
"bytes": 1392856,
"type": "text/html"
},
{
"path": "public/dashboards/csi_fcf_chart.html",
"hash": "4b0b6e24b01550ae7e1ab2d85237ff6cda9349d004ec35df73511d2a32bd88ec",
"bytes": 1344984,
"type": "text/html"
},
{
"path": "public/econ/china-bond-10y.html",
"hash": "3b5fef761b59afb6869fa2a73fe117fb69dcbefea3d39d7cd1859004162a52e7",
"bytes": 5630,
"type": "text/html"
},
{
"path": "public/econ/china-bond-10y.json",
"hash": "72b493417070df9c772d6afc8604b6db99e5889d36c59d45bcd92f2dafa261ca",
"bytes": 1803,
"type": "application/json"
},
{
"path": "public/econ/china-bond-1y.html",
"hash": "7639c558bba083cc9a25f8a156419138937d8712612dee34ed2b89890a4d9fec",
"bytes": 5628,
"type": "text/html"
},
{
"path": "public/econ/china-bond-1y.json",
"hash": "1eb0575b5eac06c78104974b75b8f106cb92bc6d87113652f7f457ee5c988fc2",
"bytes": 1806,
"type": "application/json"
},
{
"path": "public/econ/china-cpi-yoy.html",
"hash": "cb51b54b2f6bf172aa3e87ac368ce67c7398dbc51e2f033b0eac0d367cb62a0e",
"bytes": 5627,
"type": "text/html"
},
{
"path": "public/econ/china-cpi-yoy.json",
"hash": "16735f992a47c448fe1b175abd15174c4c6a19df4e8f1084580f9d1882009d44",
"bytes": 1932,
"type": "application/json"
},
{
"path": "public/econ/china-cpi.html",
"hash": "9ff611705ff82a56acbbf96e337e0a79bfe2f2a22fc8c5b852928af85d7b3de2",
"bytes": 4236,
"type": "text/html"
},
{
"path": "public/econ/china-cpi.json",
"hash": "6007ad45542047c0e343c0cc590d9fcde63d9c820ff99f0a93f61a8560209ebf",
"bytes": 667,
"type": "application/json"
},
{
"path": "public/econ/china-lpr-1y.html",
"hash": "5f7254dc86f98bf32cfd06d37d9b329bcff87513057583bdf669b8691a3f4bcf",
"bytes": 5327,
"type": "text/html"
},
{
"path": "public/econ/china-lpr-1y.json",
"hash": "7300679627550b75fa2fae62888b79e6f12a8386d2d3f2dec9bd2925387d8aa7",
"bytes": 1664,
"type": "application/json"
},
{
"path": "public/econ/china-lpr-5y.html",
"hash": "e32519d06f0ca7a601e933ce704d44d59a0ab3b2fb046a6754ad4ef3ed71b742",
"bytes": 5498,
"type": "text/html"
},
{
"path": "public/econ/china-lpr-5y.json",
"hash": "99d4b4d900e5a99f60b294eb9fca87145ad20b44995ef2178061cc832c2599e8",
"bytes": 1693,
"type": "application/json"
},
{
"path": "public/econ/us-bond-1y.html",
"hash": "c972cd658b5db614ec94135dc8f7816366a8ed526360514cfb53c64f9df09dfa",
"bytes": 3736,
"type": "text/html"
},
{
"path": "public/econ/us-bond-1y.json",
"hash": "82a7af636dd597bde08bc9cb7e22ab4e9de6754ffc30614d78ba1a96e6715a4a",
"bytes": 444,
"type": "application/json"
},
{
"path": "public/econ/usa-cpi.html",
"hash": "f4aec9f8c2aee8835166e71a7799c87c8f0288f0fc9760b85620bc98c7bd9721",
"bytes": 4187,
"type": "text/html"
},
{
"path": "public/econ/usa-cpi.json",
"hash": "0273f88e376d166528e60338beff1e0878e98336c26c759f36daa078acb92d87",
"bytes": 616,
"type": "application/json"
},
{
"path": "public/strategy/china-debt-gdp.html",
"hash": "acffe06524dbfee764411b8690d02393bbaa1d7ad2275a58ac132fe256ff69c8",
"bytes": 7331,
"type": "text/html"
},
{
"path": "public/strategy/china-debt-gdp.json",
"hash": "6b2c3da5e4751c0c13dc2cc10d706c08ee6400eca8a9e6636ea0a25dca374590",
"bytes": 841,
"type": "application/json"
},
{
"path": "public/strategy/us-debt-gdp.html",
"hash": "cfb9ec15e457633e6d13689ab9802d646201a8fba9be3fb69710370a40ace365",
"bytes": 7477,
"type": "text/html"
},
{
"path": "public/strategy/us-debt-gdp.json",
"hash": "69d6d977057faac7ab10a5f43e4f5feb5e47539d6dc77e7fd93b533653abc50a",
"bytes": 843,
"type": "application/json"
}
]
}
-72
View File
@@ -1,72 +0,0 @@
const fs = require('fs')
const content = `import cron from 'node-cron'
import { prisma } from './db.js'
import mysql from 'mysql2/promise'
import { fetchNewsList, persistNews } from '../scripts/fetchers/news.fetcher.js'
import { checkAfterRefresh } from './alert-engine.js'
function parseUrl(url) {
const u = new URL(url)
return { host: u.hostname, port: Number(u.port) || 3306, user: decodeURIComponent(u.username), password: decodeURIComponent(u.password), database: u.pathname.replace(/^\\//, '') }
}
async function openConn() {
return mysql.createConnection(parseUrl(process.env.DATABASE_URL))
}
// 每天凌晨 3:00 (本地时间) 拉取新闻 + 跑跨源对比
function scheduleNews() {
cron.schedule('0 3 * * *', async () => {
console.log('[cron] 3:00 触发')
try {
const list = await fetchNewsList()
const r = await persistNews(list)
console.log('[cron] 新闻入库: 新增 ' + r.inserted + ' / 跳过 ' + r.skipped)
const conn = await openConn()
try {
const a = await checkAfterRefresh(conn)
console.log('[cron] 报警检测: 新增 ' + a.inserted + ' 条 (扫描 ' + a.scanned + ')')
} finally { await conn.end() }
} catch (e) {
console.error('[cron] 任务失败:', e.message)
}
})
console.log('[cron] 已注册: 每天 03:00 拉取新闻 + 跨源报警检测')
}
// 每 2 分钟: 拉取 komari 节点 + 服务自检
function scheduleMonitors() {
cron.schedule('*/2 * * * *', async () => {
try {
const k = require('./komari-monitor.cjs')
const r = await k.runOnce()
console.log('[cron] komari: nodes=' + r.nodes + ' snapshots=' + r.snapshots + ' history=' + r.history + ' failed=' + r.failed)
} catch (e) { console.error('[cron] komari 任务失败:', e.message) }
try {
const h = require('./health-check.cjs')
const arr = await h.runOnce()
const down = arr.filter(x => x.status !== 'up').map(x => x.name)
console.log('[cron] health: ' + arr.length + ' 项, down=' + (down.length ? down.join(',') : '无'))
} catch (e) { console.error('[cron] health 任务失败:', e.message) }
})
console.log('[cron] 已注册: 每 2 分钟 komari + 服务自检')
}
// 每小时: 清理 24h 前的 komari 历史
function scheduleMonitorCleanup() {
cron.schedule('0 * * * *', async () => {
try {
const k = require('./komari-monitor.cjs')
const n = await k.cleanupOld()
console.log('[cron] 监控历史清理: 删除 ' + n + ' 条')
} catch (e) { console.error('[cron] 监控清理失败:', e.message) }
})
console.log('[cron] 已注册: 每小时清理 24h 前监控历史')
}
scheduleNews()
scheduleMonitors()
scheduleMonitorCleanup()
`
fs.writeFileSync('server/cron.js', content, 'utf8')
console.log('OK len=' + content.length)
-17
View File
@@ -1,17 +0,0 @@
require('dotenv').config();
const mysql = require('mysql2/promise');
(async () => {
const u = new URL(process.env.DATABASE_URL);
const c = await mysql.createConnection({
host: u.hostname, port: Number(u.port),
user: decodeURIComponent(u.username),
password: decodeURIComponent(u.password),
database: u.pathname.replace(/^\//, ''),
});
// 保留 id 最小的, 删掉其余重名行
for (const t of ['Strategy', 'Indicator']) {
const [r] = await c.query('DELETE FROM ' + t + ' WHERE id NOT IN (SELECT min_id FROM (SELECT MIN(id) AS min_id FROM ' + t + ' GROUP BY name) AS keep)');
console.log('[' + t + '] 删除 ' + r.affectedRows + ' 条重复行');
}
await c.end();
})().catch(e=>{console.error(e);process.exit(1)});
-32
View File
@@ -1,32 +0,0 @@
/**
* 列出东方财富妙想 MCP 暴露的所有工具
* 用法: npm run data:discover
* 输出: tool 名称 + 描述 + 输入 schema
*/
require('dotenv').config()
async function main() {
if (!process.env.EM_API_KEY) {
console.error('缺少 EM_API_KEY (在 .env 配)')
process.exit(1)
}
const { listAvailableTools } = await import('./fetchers/eastmoney-mcp.fetcher.js')
console.log('[Discover] 调妙想 MCP tools/list...')
const tools = await listAvailableTools()
console.log(`[Discover] 找到 ${tools.length} 个工具\n`)
for (const t of tools) {
console.log(`── ${t.name} ${'─'.repeat(Math.max(0, 60 - t.name.length))}`)
if (t.description) console.log(` ${t.description}`)
if (t.inputSchema) {
console.log(' inputSchema:')
const s = JSON.stringify(t.inputSchema, null, 2)
s.split('\n').forEach((line) => console.log(' ' + line))
}
console.log('')
}
}
main().catch((e) => {
console.error('[Discover] 失败:', e.message)
process.exit(1)
})
-4
View File
@@ -27,9 +27,6 @@ const TABLES = [
['TaskMember', 'taskMember'],
['TaskTag', 'taskTag'],
['Article', 'article'],
['Strategy', 'strategy'],
['Indicator', 'indicator'],
['IndicatorPoint', 'indicatorPoint'],
['News', 'news'],
['Alert', 'alert'],
['ServerNode', 'serverNode'],
@@ -37,7 +34,6 @@ const TABLES = [
['ServiceCheck', 'serviceCheck'],
['Econ_SowInventory', 'econ_SowInventory'],
['ScraperCache', 'scraperCache'],
['OilPriceHistory', 'oilPriceHistory'],
['MihomeAccount', 'mihomeAccount'],
['MihomeHome', 'mihomeHome'],
['MihomeDevice', 'mihomeDevice'],
-79
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@@ -1,79 +0,0 @@
import { spawn } from 'child_process';
async function runScraper(scraperPath, startDate, endDate) {
return new Promise((resolve, reject) => {
const args = [scraperPath];
if (startDate) {
args.push('--start', startDate);
}
if (endDate) {
args.push('--end', endDate);
}
const proc = spawn('bun', args, { stdio: 'inherit' });
proc.on('close', (code) => {
if (code === 0) {
resolve();
} else {
reject(new Error(`Process exited with code ${code}`));
}
});
proc.on('error', (err) => {
reject(err);
});
});
}
async function fetchOneYearData() {
console.log('='.repeat(70));
console.log('📊 获取近一年数据');
console.log('='.repeat(70));
const currentDate = new Date();
const startDate = new Date(currentDate);
startDate.setFullYear(startDate.getFullYear() - 1);
const startDateStr = startDate.toISOString().split('T')[0];
const endDateStr = currentDate.toISOString().split('T')[0];
console.log(`时间范围: ${startDateStr} 至 ${endDateStr}`);
console.log('');
console.log('='.repeat(70));
console.log('💱 开始获取 USD-CNY 汇率数据...');
console.log('='.repeat(70));
let usdSuccess = false;
try {
await runScraper('./scraper/usd-cny-rate.scraper.js', startDateStr, endDateStr);
console.log(`✅ USD-CNY 汇率数据更新完成`);
usdSuccess = true;
} catch (error) {
console.error(`❌ USD-CNY 汇率数据更新失败:`, error.message);
}
console.log('');
console.log('='.repeat(70));
console.log('📈 开始获取沪深300指数数据...');
console.log('='.repeat(70));
let sh300Success = false;
try {
await runScraper('./scraper/sh300.scraper.js', startDateStr, endDateStr);
console.log(`✅ 沪深300指数数据更新完成`);
sh300Success = true;
} catch (error) {
console.error(`❌ 沪深300指数数据更新失败:`, error.message);
}
console.log('');
console.log('='.repeat(70));
console.log('📊 数据获取完成');
console.log('='.repeat(70));
console.log(`USD-CNY 汇率: ${usdSuccess ? '✅ 成功' : '❌ 失败'}`);
console.log(`沪深300指数: ${sh300Success ? '✅ 成功' : '❌ 失败'}`);
console.log('='.repeat(70));
}
fetchOneYearData();
-303
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@@ -1,303 +0,0 @@
// 东方财富妙想 MCP 数据源
// 协议: StreamableHttp (MCP 2025-03-26 spec), HTTP POST + JSON-RPC 2.0
// - 认证: header `em_api_key: <EM_API_KEY>`
// - 妙想 MCP 是"自然语言驱动": 传 query 字符串, 内部 LLM 解析 + 调底层数据接口
// - 重要: 每次调用 5-20s + LLM token 成本, 必须配合"DB 优先" (refresh 时已存在的指标跳过)
//
// 需要的 .env:
// EM_API_KEY=xxx 必填
// EASTMONEY_MCP_BASE=... 可选, 默认 https://mxapi.eastmoney.com/mxds/mcp
//
// INDICATORS 数组: 配置要拉的指标
// 每项:
// name → Indicator.name (主键)
// groupName → Indicator.groupName
// title → data.title
// unit → data.unit
// tool → MCP tool 名
// query → 自然语言查询
// pickSheet(sheets) → 选一张 sheet (默认取第一张)
// parseSheet(sheet) → [{period, value}, ...] 默认按宽表转长表 (列=日期, 行=值)
import axios from 'axios'
const DEFAULT_BASE = 'https://mxapi.eastmoney.com/mxds/mcp'
const TIMEOUT = 60000
// ====== INDICATORS 配置 ======
// 跑 npm run data:discover 看可用 tool, 再加新指标
const INDICATORS = [
{
name: 'china-cpi-yoy',
groupName: 'china-macro',
title: '中国 CPI 同比',
unit: '%',
tool: 'mx_macro_data',
query: '查询中国 2015 年至今 CPI 月度同比数据,每一个月的数值',
pickSheet: (sheets) =>
sheets.find((s) => s.items?.[0]?.[0]?.includes('CPI') && s.items[0][0].includes('同比'))
|| sheets.find((s) => s.sheetName?.includes('宏观数据'))
|| sheets[0],
},
{
name: 'china-gdp-yoy',
groupName: 'china-macro',
title: '中国 GDP 同比',
unit: '%',
tool: 'mx_macro_data',
query: '查询中国 2015-2025 年 GDP 不变价同比增速,季度数据,每一季度的数值',
pickSheet: (sheets) =>
sheets.find((s) => s.items?.[0]?.[0]?.includes('GDP') && s.items[0][0].includes('同比'))
|| sheets[0],
},
{
// 国债收益率: MCP 返回日频, 用月末降采样成月频点
name: 'china-bond-10y',
groupName: 'china-macro',
title: '中国国债 10 年期收益率',
unit: '%',
frequency: 'month',
tool: 'mx_macro_data',
query: '查询中国10年期国债到期收益率 2024年至今 每日数据',
pickSheet: (sheets) =>
sheets.find((s) => s.items?.some?.((row) => String(row[0] || '').includes('国债到期收益率:10年')))
|| sheets[0],
parseSheet: (sheet) => monthEndSample(sheet, '国债到期收益率:10年'),
},
{
name: 'china-bond-1y',
groupName: 'china-macro',
title: '中国国债 1 年期收益率',
unit: '%',
frequency: 'month',
tool: 'mx_macro_data',
query: '查询中国1年期国债到期收益率 2024年至今 每日数据',
pickSheet: (sheets) =>
sheets.find((s) => s.items?.some?.((row) => String(row[0] || '').includes('国债到期收益率:1年')))
|| sheets[0],
parseSheet: (sheet) => monthEndSample(sheet, '国债到期收益率:1年'),
},
{
name: 'china-lpr-1y',
groupName: 'china-macro',
title: '中国 LPR 1 年期',
unit: '%',
frequency: 'month',
tool: 'mx_macro_data',
query: '查询中国LPR 1年期贷款市场报价利率 2024年至今 月度数据,每一个月的数值',
pickSheet: (sheets) =>
sheets.find((s) => s.sheetName?.includes('宏观数据(月)'))
|| sheets[0],
parseSheet: (sheet) => pickRowByKeyword(sheet, '(LPR):1年'),
},
{
name: 'china-lpr-5y',
groupName: 'china-macro',
title: '中国 LPR 5 年期',
unit: '%',
frequency: 'month',
tool: 'mx_macro_data',
query: '查询中国LPR 5年期以上贷款市场报价利率 2024年至今 月度数据,每一个月的数值',
pickSheet: (sheets) =>
sheets.find((s) => s.sheetName?.includes('宏观数据(月)'))
|| sheets[0],
parseSheet: (sheet) => pickRowByKeyword(sheet, '(LPR):5年'),
},
]
export const META = {
name: 'eastmoney-mcp',
description: '东方财富妙想 MCP (StreamableHttp, NL 查询)',
docs: 'https://mxapi.eastmoney.com/mxds/doc/mcp-install.md',
}
// ====== StreamableHttp 客户端 ======
class McpClient {
constructor(baseUrl, apiKey) {
this.baseUrl = baseUrl
this.apiKey = apiKey
this.id = 0
}
async _request(method, params) {
const payload = { jsonrpc: '2.0', id: ++this.id, method, ...(params ? { params } : {}) }
const resp = await axios.post(this.baseUrl, payload, {
timeout: TIMEOUT,
headers: {
'Content-Type': 'application/json',
'Accept': 'application/json, text/event-stream',
'em_api_key': this.apiKey,
},
responseType: 'text',
transformResponse: [(d) => d],
validateStatus: () => true,
})
if (resp.status >= 400) {
throw new Error(`HTTP ${resp.status}: ${String(resp.data).slice(0, 300)}`)
}
const parsed = parseMcpResponse(String(resp.data || ''))
// JSON-RPC 信封 {jsonrpc,id,result|error}, 统一解包 result
if (parsed.error) {
throw new Error(`MCP error ${parsed.error.code}: ${parsed.error.message}`)
}
return parsed.result || parsed
}
async listTools() {
const r = await this._request('tools/list')
return r.tools || []
}
async callTool(name, args = {}) {
const r = await this._request('tools/call', { name, arguments: args })
if (r.isError) {
const msg = (r.content || []).map((c) => c.text || '').join('; ')
throw new Error(`tool ${name} error: ${msg || JSON.stringify(r).slice(0, 200)}`)
}
return r
}
}
// 解析响应: JSON 或 SSE
function parseMcpResponse(text) {
const t = text.trim()
if (t.startsWith('{')) return JSON.parse(t)
if (t.startsWith('data:')) {
const lines = t.split('\n').filter((l) => l.startsWith('data:'))
let last = null
for (const line of lines) {
const json = line.slice(5).trim()
if (!json || json === '[DONE]') continue
try { last = JSON.parse(json) } catch { /* skip */ }
}
if (!last) throw new Error('SSE 无有效 data 块: ' + text.slice(0, 200))
return last
}
throw new Error('未知响应格式: ' + t.slice(0, 200))
}
// 默认 sheet 解析: 宽表 (列=日期, 行=值) → 长表
// 例: { columns:["指标","来源","2024-12","2024-11"], items:[["CPI","统计局","0.1","0.2"]] }
// → [{period:"2024-12", value:0.1}, {period:"2024-11", value:0.2}]
// 返回时反转成从老到新
function defaultParseSheet(sheet) {
if (!sheet || !sheet.columns || !sheet.items || !sheet.items[0]) return []
const cols = sheet.columns
const row = sheet.items[0]
const dates = cols.slice(2) // 跳过 [指标名, 来源]
const values = row.slice(2)
const out = []
for (let i = 0; i < dates.length; i++) {
const v = parseFloat(values[i])
if (!isNaN(v)) out.push({ period: dates[i], value: v })
}
return out.reverse() // 从老到新
}
// 宽表 → 长表, 指定 item 行 (按指标全名前缀匹配), 日频列降采样为月末值
// 例: columns=["指标","来源","2026-08-05","2026-08-04",...] → [{period:"2024-01",value},...]
function monthEndSample(sheet, keyword) {
if (!sheet || !sheet.columns || !sheet.items) return []
const row = sheet.items.find((r) => String(r[0] || '').includes(keyword))
if (!row) return []
const cols = sheet.columns
const dates = cols.slice(2) // 新 → 老
const values = row.slice(2)
const out = []
const seen = new Set()
for (let i = 0; i < dates.length; i++) {
const v = parseFloat(values[i])
const m = String(dates[i] || '').slice(0, 7) // "2024-01-02" → "2024-01"
if (!/^\d{4}-\d{2}$/.test(m) || Number.isNaN(v)) continue
if (seen.has(m)) continue // 列是降序, 第一次遇到的即当月最后一个交易日
seen.add(m)
out.push({ period: m, value: v })
}
return out.reverse() // 从老到新
}
// 宽表 → 长表, 指定 item 行 (按指标全名前缀匹配), 保留原频率 (月/季/年)
function pickRowByKeyword(sheet, keyword) {
if (!sheet || !sheet.columns || !sheet.items) return []
const row = sheet.items.find((r) => String(r[0] || '').includes(keyword))
if (!row) return []
const cols = sheet.columns
const dates = cols.slice(2)
const values = row.slice(2)
const out = []
for (let i = 0; i < dates.length; i++) {
const v = parseFloat(values[i])
if (!Number.isNaN(v)) out.push({ period: String(dates[i]), value: v })
}
return out.reverse() // 从老到新
}
// ====== fetcher 入口 ======
export async function listAvailableTools() {
const key = process.env.EM_API_KEY
if (!key) throw new Error('缺少 EM_API_KEY')
const base = process.env.EASTMONEY_MCP_BASE || DEFAULT_BASE
const client = new McpClient(base, key)
return client.listTools()
}
// opts.skipNames: Set<string> — DB 已存在的指标名, 跳过不调 MCP (省 token)
// opts.onlyNames: Set<string> — 白名单, 只跑这些 (用于补跑单个)
export async function fetchAll(opts = {}) {
if (INDICATORS.length === 0) {
throw new Error('eastmoney-mcp: INDICATORS 数组为空, 加新指标见文件顶部注释')
}
const skip = opts.skipNames || new Set()
const force = opts.forceNames || new Set()
const only = opts.onlyNames || null
const key = process.env.EM_API_KEY
if (!key) throw new Error('缺少 EM_API_KEY')
const base = process.env.EASTMONEY_MCP_BASE || DEFAULT_BASE
const client = new McpClient(base, key)
const results = []
for (const cfg of INDICATORS) {
if (skip.has(cfg.name) && !force.has(cfg.name)) {
console.log(`[MCP] ${cfg.name} 跳过 (DB 已存在)`)
continue
}
if (only && !only.has(cfg.name)) continue
try {
console.log(`[MCP] ${cfg.name} 调用 ${cfg.tool}: ${cfg.query}`)
const r = await client.callTool(cfg.tool, { query: cfg.query })
const text = (r.content || []).map((c) => c.text || '').join('')
let payload
try { payload = JSON.parse(text) } catch { payload = { raw: text } }
const sheets = payload.data || (Array.isArray(payload) ? payload : [payload])
const sheet = cfg.pickSheet ? cfg.pickSheet(sheets) : sheets[0]
const parsed = cfg.parseSheet ? cfg.parseSheet(sheet) : defaultParseSheet(sheet)
if (parsed.length === 0) {
console.log(`[MCP] ${cfg.name} 返回空 rows, 跳过`)
continue
}
results.push({
name: cfg.name,
groupName: cfg.groupName,
data: {
unit: cfg.unit,
title: cfg.title,
source: 'eastmoney-mcp',
rows: parsed,
},
})
console.log(`[MCP] ${cfg.name} OK, ${parsed.length} rows (${parsed[0]?.period}..${parsed.at(-1)?.period})`)
} catch (e) {
console.error(`[MCP] ${cfg.name} FAIL: ${e.message}`)
}
}
// 全部被 DB 优先跳过时, 返回显式标记而不是空数组 (避免被误判为失败)
if (results.length === 0 && INDICATORS.every((cfg) => skip.has(cfg.name) && !force.has(cfg.name))) {
return { skipped: true, reason: 'DB 已存在全部指标' }
}
return results
}
-83
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@@ -1,83 +0,0 @@
// Fetcher 注册表: 列出所有启用的数据源
// 加新数据源只要:
// 1. 写一个 scripts/fetchers/<source>.fetcher.js, 导出 META + fetchAll
// 2. 在本文件 FETCHERS 数组里加一行
// 3. 完事, refresh 脚本会自动跑
// 每项的 schema:
// name: 数据源标识 (用于日志)
// module: fetcher 模块路径 (相对 scripts/fetchers/)
// enabled: true/false, 可由 env 关闭 (如 ENABLE_EASTMONEY_MCP=0)
// env: 需要的环境变量名列表, 缺一即跳过
export const FETCHERS = [
{
name: 'wb-indicators',
module: './wb-indicators.fetcher.js',
enabled: true,
env: [],
},
{
name: 'eastmoney-mcp',
module: './eastmoney-mcp.fetcher.js',
// 默认开启, 有 APIKey 才真正能跑 (fetcher 内部会自检)
enabled: process.env.ENABLE_EASTMONEY_MCP !== '0',
env: ['EM_API_KEY'],
},
// 后续在这里追加:
// { name: 'fred', module: './fred.fetcher.js', enabled: true, env: ['FRED_API_KEY'] },
// { name: 'tushare', module: './tushare.fetcher.js', enabled: true, env: ['TUSHARE_TOKEN'] },
]
// 校验环境变量, 返回 { ok, missing[] }
export function checkEnv(required) {
const missing = required.filter((k) => !process.env[k] || !process.env[k].trim())
return { ok: missing.length === 0, missing }
}
// 加载并运行所有启用的 fetcher, 返回 [{ name, ok, items, error, skipped }]
// 错误隔离: 一个 fetcher 挂了不影响其他
// opts.skipNames: Set<string> — DB 优先, 已存在的指标名, 透传给 fetcher
// opts.forceNames: Set<string> — 强制刷新名单, 即使 skipNames 里有也照拉
export async function runFetchers(opts = {}) {
const results = []
for (const meta of FETCHERS) {
if (!meta.enabled) {
results.push({ name: meta.name, skipped: true, reason: 'disabled' })
console.log(`[Fetcher] ${meta.name} 跳过 (disabled)`)
continue
}
const envCheck = checkEnv(meta.env)
if (!envCheck.ok) {
results.push({ name: meta.name, skipped: true, reason: `缺少 env: ${envCheck.missing.join(', ')}` })
console.log(`[Fetcher] ${meta.name} 跳过 (${envCheck.missing.join(', ')})`)
continue
}
try {
const mod = await import(meta.module)
if (!mod.META || !mod.fetchAll) {
throw new Error('fetcher 必须导出 META 和 fetchAll')
}
console.log(`[Fetcher] ${meta.name} 开始...`)
const out = await mod.fetchAll({ skipNames: opts.skipNames, onlyNames: opts.onlyNames, forceNames: opts.forceNames })
// fetcher 可返回 { skipped: true, reason } 表示"全部被 DB 优先跳过", 不算失败
if (out && out.skipped) {
results.push({ name: meta.name, skipped: true, reason: out.reason })
console.log(`[Fetcher] ${meta.name} 跳过 (${out.reason})`)
continue
}
const items = Array.isArray(out) ? out : []
// 校验返回结构
const valid = items.filter((it) => it && it.name && it.data && Array.isArray(it.data.rows))
if (valid.length === 0) {
throw new Error('fetcher 未返回任何有效指标 (需包含 name/data.rows)')
}
console.log(`[Fetcher] ${meta.name} 拉取 ${valid.length} 个指标`)
results.push({ name: meta.name, ok: true, items: valid })
} catch (e) {
results.push({ name: meta.name, ok: false, error: e.message })
console.error(`[Fetcher] ${meta.name} 失败: ${e.message}`)
}
}
return results
}
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@@ -1,168 +0,0 @@
import axios from 'axios';
import { fileURLToPath } from 'url';
async function fetch(startDate = null, endDate = null, retryCount = 3) {
try {
const currentDate = new Date();
if (!startDate) {
startDate = new Date(currentDate);
startDate.setDate(startDate.getDate() - 30);
startDate = startDate.toISOString().split('T')[0];
}
if (!endDate) {
endDate = currentDate.toISOString().split('T')[0];
}
console.log('正在获取沪深300指数数据...');
console.log(`时间范围: ${startDate} 至 ${endDate}`);
console.log(`数据源: 腾讯财经API`);
// 沪深300指数代码
const symbol = '000300';
// 使用腾讯财经的API端点获取历史数据
const response = await axios.get('https://web.ifzq.gtimg.cn/appstock/app/kline/kline?param=sh' + symbol + ',day,' + startDate + ',' + endDate + ',640', {
headers: {
'Accept': 'application/json',
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
},
timeout: 10000 // 设置10秒超时
});
console.log(`\nAPI状态: ${response.status}`);
const data = response.data;
console.log(`响应数据:`, JSON.stringify(data, null, 2));
const allData = [];
if (data && data.data && data.data['sh' + symbol] && data.data['sh' + symbol].day) {
const klineData = data.data['sh' + symbol].day;
console.log(`数据条数: ${klineData.length}`);
for (const item of klineData) {
allData.push({
date: item[0],
open: parseFloat(item[1]),
close: parseFloat(item[2]),
high: parseFloat(item[3]),
low: parseFloat(item[4]),
volume: parseFloat(item[5]),
amount: 0, // 腾讯财经API没有返回成交额数据,设置为0
source: '腾讯财经API',
fetchTime: new Date().toISOString()
});
}
} else {
console.log('数据条数: 0');
}
allData.sort((a, b) => a.date.localeCompare(b.date));
console.log(`\n共获取到 ${allData.length} 条沪深300指数数据`);
return {
symbol: 'sh000300',
name: '沪深300指数',
startDate,
endDate,
count: allData.length,
data: allData,
fetchTime: new Date().toISOString(),
note: '数据来源: 腾讯财经API'
};
} catch (error) {
console.error('获取沪深300指数数据失败:', error.message);
if (error.response) {
console.error(`HTTP状态码: ${error.response.status}`);
console.error(`响应数据:`, error.response.data);
}
// 重试机制
if (retryCount > 0) {
console.log(`正在重试... (剩余重试次数: ${retryCount - 1})`);
// 等待1秒后重试
await new Promise(resolve => setTimeout(resolve, 1000));
return fetch(startDate, endDate, retryCount - 1);
}
throw error;
}
}
export {
fetch
};
const isMainModule = () => {
const currentFile = fileURLToPath(import.meta.url);
const mainFile = process.argv[1];
return currentFile === mainFile;
};
function parseCommandLineArgs() {
const args = process.argv.slice(2);
let startDate = null;
let endDate = null;
for (let i = 0; i < args.length; i++) {
if (args[i] === '--start' && i + 1 < args.length) {
startDate = args[i + 1];
i++;
} else if (args[i] === '--end' && i + 1 < args.length) {
endDate = args[i + 1];
i++;
} else if (args[i] === '--help') {
console.log('使用方法:');
console.log(' bun sh300.fetcher.js [选项]');
console.log('');
console.log('选项:');
console.log(' --start YYYY-MM-DD 指定开始日期(默认:30天前)');
console.log(' --end YYYY-MM-DD 指定结束日期(默认:今天)');
console.log(' --help 显示帮助信息');
console.log('');
console.log('示例:');
console.log(' bun sh300.fetcher.js');
console.log(' bun sh300.fetcher.js --start 2024-01-01 --end 2024-01-31');
process.exit(0);
}
}
return { startDate, endDate };
}
if (isMainModule()) {
const { startDate, endDate } = parseCommandLineArgs();
console.log('='.repeat(50));
console.log('沪深300指数数据获取脚本');
console.log('='.repeat(50));
fetch(startDate, endDate)
.then(result => {
console.log('\n' + '='.repeat(50));
console.log('获取结果:');
console.log(` 指数代码: ${result.symbol}`);
console.log(` 指数名称: ${result.name}`);
console.log(` 开始日期: ${result.startDate}`);
console.log(` 结束日期: ${result.endDate}`);
console.log(` 数据条数: ${result.count}`);
console.log(` 获取时间: ${result.fetchTime}`);
console.log(` 提示: ${result.note}`);
if (result.count > 0) {
console.log('-'.repeat(50));
console.log('指数数据:');
result.data.forEach(item => {
console.log(` ${item.date} 开盘: ${item.open} 最高: ${item.high} 最低: ${item.low} 收盘: ${item.close}`);
});
}
console.log('='.repeat(50));
})
.catch(error => {
console.error('执行失败:', error);
process.exit(1);
});
}
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import axios from 'axios';
import { fileURLToPath } from 'url';
const FRANKFURTER_API = 'https://api.frankfurter.app';
async function fetch(startDate = null, endDate = null) {
try {
const currentDate = new Date();
if (!startDate) {
startDate = new Date(currentDate);
startDate.setDate(startDate.getDate() - 30);
startDate = startDate.toISOString().split('T')[0];
}
if (!endDate) {
endDate = currentDate.toISOString().split('T')[0];
}
console.log('正在获取人民币美元汇率数据...');
console.log(`时间范围: ${startDate} 至 ${endDate}`);
console.log(`数据源: Frankfurter API (欧洲央行汇率数据)`);
const response = await axios.get(`${FRANKFURTER_API}/${startDate}..${endDate}`, {
params: {
from: 'USD',
to: 'CNY'
},
headers: {
'Accept': 'application/json'
}
});
const data = response.data;
console.log(`\nAPI状态: ${response.status}`);
console.log(`数据条数: ${Object.keys(data.rates || {}).length}`);
const allRates = [];
if (data.rates) {
for (const [date, rateObj] of Object.entries(data.rates)) {
const rateValue = rateObj.CNY;
allRates.push({
date: date,
currency: 'USD/CNY',
centerPrice: parseFloat(rateValue.toFixed(4)),
sellingRate: parseFloat(rateValue.toFixed(4)),
buyingRate: parseFloat(rateValue.toFixed(4)),
source: '欧洲央行 (Frankfurter API)',
fetchTime: new Date().toISOString()
});
}
}
allRates.sort((a, b) => a.date.localeCompare(b.date));
console.log(`\n共获取到 ${allRates.length} 条汇率数据`);
return {
currency: 'USD/CNY',
startDate,
endDate,
count: allRates.length,
data: allRates,
fetchTime: new Date().toISOString(),
note: '数据来源: 欧洲央行, 通过 Frankfurter API 提供'
};
} catch (error) {
console.error('获取汇率数据失败:', error.message);
if (error.response) {
console.error(`HTTP状态码: ${error.response.status}`);
console.error(`响应数据:`, error.response.data);
}
throw error;
}
}
export {
fetch
};
const isMainModule = () => {
const currentFile = fileURLToPath(import.meta.url);
const mainFile = process.argv[1];
return currentFile === mainFile;
};
function parseCommandLineArgs() {
const args = process.argv.slice(2);
let startDate = null;
let endDate = null;
for (let i = 0; i < args.length; i++) {
if (args[i] === '--start' && i + 1 < args.length) {
startDate = args[i + 1];
i++;
} else if (args[i] === '--end' && i + 1 < args.length) {
endDate = args[i + 1];
i++;
} else if (args[i] === '--help') {
console.log('使用方法:');
console.log(' bun usd-cny-rate.fetcher.js [选项]');
console.log('');
console.log('选项:');
console.log(' --start YYYY-MM-DD 指定开始日期(默认:30天前)');
console.log(' --end YYYY-MM-DD 指定结束日期(默认:今天)');
console.log(' --help 显示帮助信息');
console.log('');
console.log('示例:');
console.log(' bun usd-cny-rate.fetcher.js');
console.log(' bun usd-cny-rate.fetcher.js --start 2024-01-01 --end 2024-01-31');
process.exit(0);
}
}
return { startDate, endDate };
}
if (isMainModule()) {
const { startDate, endDate } = parseCommandLineArgs();
console.log('='.repeat(50));
console.log('人民币美元汇率获取脚本');
console.log('='.repeat(50));
fetch(startDate, endDate)
.then(result => {
console.log('\n' + '='.repeat(50));
console.log('获取结果:');
console.log(` 货币对: ${result.currency}`);
console.log(` 开始日期: ${result.startDate}`);
console.log(` 结束日期: ${result.endDate}`);
console.log(` 数据条数: ${result.count}`);
console.log(` 获取时间: ${result.fetchTime}`);
console.log(` 提示: ${result.note}`);
if (result.count > 0) {
console.log('-'.repeat(50));
console.log('汇率数据:');
result.data.forEach(item => {
console.log(` ${item.date} 中间价: ${item.centerPrice}`);
});
}
console.log('='.repeat(50));
})
.catch(error => {
console.error('执行失败:', error);
process.exit(1);
});
}
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import axios from 'axios'
// World Bank API 数据源
// 文档: https://datahelpdesk.worldbank.org/knowledgebase/articles/898581
// 优点: 官方、JSON、免 key、稳定, 中国数据滞后约 1 年 (这是全球宏观数据物理上限)
// 接口: GET /v2/country/{code}/indicator/{id}?format=json&date={startYear}:{endYear}&per_page=100
const WB_BASE = 'https://api.worldbank.org/v2'
const TIMEOUT = 15000
// 6 个核心宏观指标
// - 中国 GDP (现价美元) - 国民经济总规模
// - 中国 GDP 增速 - 增长动能
// - 中国 CPI 同比 - 通胀
// - 中国失业率 - 就业
// - 美国 GDP (现价美元) - 对标
// - 美国 CPI 同比 - 对标
export const WB_INDICATORS = [
{ id: 'NY.GDP.MKTP.CD', name: 'china-gdp-usd', groupName: 'china-macro', title: '中国 GDP', unit: '万亿美元', scale: 1e-8, digits: 2 },
{ id: 'NY.GDP.MKTP.KD.ZG',name: 'china-gdp-growth', groupName: 'china-macro', title: '中国 GDP 增速', unit: '%', scale: 1, digits: 2 },
{ id: 'FP.CPI.TOTL.ZG', name: 'china-cpi', groupName: 'china-macro', title: '中国 CPI', unit: '%', scale: 1, digits: 2 },
{ id: 'SL.UEM.TOTL.ZS', name: 'china-unemploy', groupName: 'china-macro', title: '中国失业率', unit: '%', scale: 1, digits: 2 },
{ id: 'NY.GDP.MKTP.CD', name: 'usa-gdp-usd', groupName: 'usa-macro', title: '美国 GDP', unit: '万亿美元', scale: 1e-8, digits: 2 },
{ id: 'FP.CPI.TOTL.ZG', name: 'usa-cpi', groupName: 'usa-macro', title: '美国 CPI', unit: '%', scale: 1, digits: 2 },
]
// World Bank 中国是 CHN, 美国是 USA
function countryCodeOf(name) {
if (name.startsWith('china-')) return 'CHN'
if (name.startsWith('usa-')) return 'USA'
throw new Error('Unknown country for ' + name)
}
// 拉单个指标从 startYear 到当前年
// 返回 { name, groupName, title, unit, rows: [{ year, value }] }
// 注意: WB 对连续请求会限流返回 400 Invalid value, 加 3 次退避重试
export async function fetchIndicator(meta, startYear = 2015) {
const country = countryCodeOf(meta.name)
const currentYear = new Date().getFullYear()
const url = `${WB_BASE}/country/${country}/indicator/${meta.id}?format=json&date=${startYear}:${currentYear}&per_page=200`
let resp
const delays = [0, 1500, 4000]
for (let attempt = 0; attempt < delays.length; attempt++) {
if (delays[attempt]) await new Promise((r) => setTimeout(r, delays[attempt]))
try {
resp = await axios.get(url, { timeout: TIMEOUT, headers: { 'User-Agent': 'iboard-refresh/1.0' } })
break
} catch (e) {
if (attempt === delays.length - 1) throw e
console.log(`[WB] ${meta.name} 请求失败, ${delays[attempt + 1] / 1000}s 后重试 (${e.message})`)
}
}
// WB 返回: [{page,pages,per_page,total,...}, [{indicator, country, value, date}, ...]]
const data = resp.data
if (!Array.isArray(data) || data.length < 2 || !Array.isArray(data[1])) {
throw new Error('World Bank 返回结构异常: ' + JSON.stringify(data).slice(0, 200))
}
const points = data[1]
.filter((p) => p.value !== null && p.value !== undefined)
.map((p) => ({
year: String(p.date),
value: Number((Number(p.value) * meta.scale).toFixed(meta.digits)),
}))
.sort((a, b) => Number(a.year) - Number(b.year))
return {
name: meta.name,
groupName: meta.groupName,
data: {
unit: meta.unit,
title: meta.title,
source: 'World Bank API',
rows: points,
},
}
}
export const META = {
name: 'wb-indicators',
description: 'World Bank 官方 API 宏观数据',
docs: 'https://datahelpdesk.worldbank.org/knowledgebase/articles/898581',
}
// 拉全部 (返回符合 fetcher 契约的 [{name, groupName, data}, ...])
// 错误隔离: 单个指标失败 -> 跳过 + 记日志, 不影响其他
// opts.skipNames: Set<string> — DB 已存在的指标名, 跳过不拉 (WB 免费但也要省请求)
export async function fetchAll(opts = {}) {
const skip = opts.skipNames || new Set()
const startYear = 2015
const results = []
for (const m of WB_INDICATORS) {
if (skip.has(m.name)) {
console.log(`[WB] ${m.name} 跳过 (DB 已存在)`)
continue
}
try {
const r = await fetchIndicator(m, startYear)
console.log(`[WB] ${r.name} OK, ${r.data.rows.length} rows (${r.data.rows[0]?.year}..${r.data.rows.at(-1)?.year})`)
results.push(r)
} catch (e) {
console.error(`[WB] ${m.name} FAIL: ${e.message}`)
}
}
// 全部被 DB 优先跳过时, 返回显式标记而不是空数组 (避免被误判为失败)
if (results.length === 0 && WB_INDICATORS.every((m) => skip.has(m.name))) {
return { skipped: true, reason: 'DB 已存在全部指标' }
}
return results
}
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#!/usr/bin/env node
// 一次性导入浙江省油价历史 (2025-2026)
// 来源: 手工整理 (省发改委公告 / 潮新闻 / 钱江晚报 / 杭州日报 / 杭州网 等)
// 用法: node --experimental-strip-types --no-warnings scripts/import-oil-history.mjs [--dry]
import path from 'node:path'
import { fileURLToPath, pathToFileURL } from 'node:url'
import 'dotenv/config'
const __filename = fileURLToPath(import.meta.url)
const __dirname = path.dirname(__filename)
const ROOT = path.resolve(__dirname, '..')
// 接入 prisma (用 file:// URL 避免 Windows 绝对路径 import 报错)
const adapterMod = await import('@prisma/adapter-mariadb')
const clientPath = pathToFileURL(path.join(ROOT, 'generated/prisma/client.ts')).href
const { PrismaClient } = await import(clientPath)
const adapter = new adapterMod.PrismaMariaDb((() => {
const u = new URL(process.env.DATABASE_URL)
return {
host: u.hostname,
port: Number(u.port) || 3306,
user: decodeURIComponent(u.username),
password: decodeURIComponent(u.password),
database: u.pathname.replace(/^\//, ''),
}
})())
const prisma = new PrismaClient({ adapter })
// 数据: [调价日, 92, 95, 0, source]
const RAW = [
['2026-07-31', 7.94, 8.44, 7.62, 'manual'],
['2026-07-17', 7.39, 7.86, 7.06, 'manual'],
['2026-06-18', 7.91, 8.41, 7.59, 'manual'],
['2026-06-04', 8.32, 8.85, 8.02, 'manual'],
['2026-05-21', 8.74, 9.30, 8.45, 'manual'],
['2026-02-03', 6.91, 7.35, 6.56, 'manual'],
['2025-12-22', 6.68, 7.11, 6.32, 'manual'],
['2025-12-08', 6.82, 7.25, 6.46, 'manual'],
['2025-11-24', 6.86, null, null, 'manual'],
['2025-11-10', 6.92, 7.36, 6.57, 'manual'],
['2025-10-13', 7.03, 7.48, 6.68, 'manual'],
['2025-06-17', 7.15, 7.60, 6.81, 'manual'],
['2025-06-03', 6.94, 7.38, 6.59, 'manual'],
]
const PROVINCE = '浙江'
const FUEL_COLS = [
{ fuel: '92', idx: 1 },
{ fuel: '95', idx: 2 },
{ fuel: '0', idx: 3 },
]
const DRY = process.argv.includes('--dry')
async function main() {
console.log('=== 浙江省油价历史导入 ===')
console.log('dry run:', DRY)
console.log('')
let inserted = 0
let updated = 0
let skipped = 0
for (const row of RAW) {
const dateStr = row[0]
const source = row[4]
for (const { fuel, idx } of FUEL_COLS) {
const price = row[idx]
if (price == null || Number.isNaN(price)) {
console.log('[SKIP] ' + dateStr + ' ' + fuel + ': 价格为空')
skipped++
continue
}
const date = new Date(dateStr + 'T00:00:00')
if (DRY) {
console.log('[DRY] ' + dateStr + ' ' + fuel + ' = ' + price + ' (source=' + source + ')')
inserted++
continue
}
try {
await prisma.oilPriceHistory.create({
data: { date, province: PROVINCE, fuel, price, source },
})
console.log('[OK] ' + dateStr + ' ' + fuel + ' = ' + price)
inserted++
} catch (e) {
if (e?.code === 'P2002') {
try {
await prisma.oilPriceHistory.update({
where: { date_province_fuel: { date, province: PROVINCE, fuel } },
data: { price, source },
})
console.log('[UPD] ' + dateStr + ' ' + fuel + ' = ' + price)
updated++
} catch (e2) {
console.log('[ERR] ' + dateStr + ' ' + fuel + ': ' + e2.message)
}
} else {
console.log('[ERR] ' + dateStr + ' ' + fuel + ': ' + e.message)
}
}
}
}
console.log('')
console.log('=== 汇总 ===')
console.log('插入: ' + inserted)
console.log('更新: ' + updated)
console.log('跳过: ' + skipped)
await prisma.$disconnect()
}
main().catch((e) => {
console.error(e)
process.exit(1)
})
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/**
* 一次性数据迁移: 把 Indicator.data (JSON) 拆分到 IndicatorPoint 明细表
* 用法: 在迁移 A (建表+加列) 之后、迁移 B (删 data 列) 之前运行
* 幂等: 同 (indicatorId, period) 重复插入会更新 value, 可安全重跑
*/
require('dotenv').config()
const mysql = require('mysql2/promise')
function parseUrl(url) {
const u = new URL(url)
return {
host: u.hostname,
port: Number(u.port) || 3306,
user: decodeURIComponent(u.username),
password: decodeURIComponent(u.password),
database: u.pathname.replace(/^\//, ''),
}
}
// 根据 row 的时间字段推断频率: year | quarter | month | day
function inferFrequency(row) {
if (row && row.month !== undefined) return 'month'
if (row && row.year !== undefined) return 'year'
const p = String((row && row.period) || '')
if (/^\d{4}$/.test(p)) return 'year'
if (/^\d{4}-Q[1-4]$/.test(p)) return 'quarter'
if (/^\d{4}-\d{2}$/.test(p)) return 'month'
if (/^\d{4}-\d{2}-\d{2}$/.test(p)) return 'day'
return 'month'
}
// 统一 row 的时间字段为 period
function periodOf(row) {
if (!row) return ''
return String(row.period !== undefined ? row.period : (row.month !== undefined ? row.month : row.year))
}
async function main() {
const conn = await mysql.createConnection(parseUrl(process.env.DATABASE_URL))
try {
const [rows] = await conn.execute('SELECT id, name, groupName, data FROM Indicator')
console.log('[Migrate] 读取', rows.length, '个 Indicator')
let points = 0, updated = 0
for (const ind of rows) {
// mysql2 对 JSON 列已自动解析为对象, 兼容字符串兜底
let data = ind.data
if (typeof data === 'string') {
try { data = JSON.parse(data) } catch { data = null }
}
const title = (data && data.title) || ind.name
const unit = (data && data.unit) || ''
const source = (data && data.source) || ''
const rowsArr = (data && Array.isArray(data.rows)) ? data.rows : []
const freq = rowsArr.length ? inferFrequency(rowsArr[0]) : 'month'
// 更新 Indicator 元数据列
await conn.execute(
'UPDATE Indicator SET title=?, unit=?, source=?, frequency=?, updatedAt=NOW(3) WHERE id=?',
[title, unit, source, freq, ind.id],
)
updated++
// 写入明细
for (const r of rowsArr) {
const period = periodOf(r)
const value = Number(r.value)
if (!period || Number.isNaN(value)) continue
const [res] = await conn.execute(
'INSERT INTO IndicatorPoint (indicatorId, period, value, createdAt, updatedAt) VALUES (?, ?, ?, NOW(3), NOW(3)) ' +
'ON DUPLICATE KEY UPDATE value=VALUES(value), updatedAt=NOW(3)',
[ind.id, period, value],
)
points += (res.affectedRows > 0 ? 1 : 0)
}
console.log('[Migrate]', ind.name, '->', rowsArr.length, '个点, 频率', freq)
}
console.log('[Migrate] 完成: 更新', updated, '个 Indicator, 写入/更新', points, '个明细点')
} finally {
await conn.end()
}
}
main().catch((e) => { console.error('[Migrate] 失败:', e); process.exit(1) })
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/**
* 拉所有启用的数据源, upsert 到 Indicator + IndicatorPoint 明细表
* 用法:
* npm run data:refresh # 只拉 DB 里没有的指标
* npm run data:refresh -- --force a,b,c # 强制刷新指定指标 (忽略 DB 已有)
*
* 数据结构 (2026-08 重构):
* Indicator 元数据: name/groupName/title/unit/source/frequency/hidden
* IndicatorPoint 明细: (indicatorId, period, value), period 兼容年/季/月/日
*
* DB 优先策略:
* 1. 先从 DB 查已存在的 name 集合
* 2. 把集合传给每个 fetcher, fetcher 跳过已存在的
* 3. 只对 DB 没有的指标调远程拉取, 节省 token (尤其妙想 MCP 这种 LLM 接口)
*
* 加新数据源: 写 scripts/fetchers/<name>.fetcher.js 导出 META + fetchAll(opts),
* 然后在 scripts/fetchers/index.js 的 FETCHERS 注册
*/
require('dotenv').config()
const mysql = require('mysql2/promise')
// 隐藏指标: 数据与获取脚本保留, 但不参与前端展示 (API 过滤)
const HIDDEN_INDICATORS = new Set([
'china-gdp-usd', // 中国 GDP (现价美元)
'china-gdp-growth', // 中国 GDP 同比 (World Bank)
'china-gdp-yoy', // 中国 GDP 同比 (妙想季度)
'china-unemploy', // 中国失业率
'usa-gdp-usd', // 美国 GDP
])
function parseUrl(url) {
const u = new URL(url)
return {
host: u.hostname,
port: Number(u.port) || 3306,
user: decodeURIComponent(u.username),
password: decodeURIComponent(u.password),
database: u.pathname.replace(/^\//, ''),
}
}
function parseForceArg(argv) {
const i = argv.indexOf('--force')
if (i === -1) return new Set()
return new Set(String(argv[i + 1] || '').split(',').map((s) => s.trim()).filter(Boolean))
}
// 推断频率: year | quarter | month | day (优先用 fetcher 显式声明)
function inferFrequency(data) {
if (data && data.frequency) return data.frequency
const p = String(((data && data.rows) || [])[0]?.period || '')
if (/^\d{4}$/.test(p)) return 'year'
if (/^\d{4}-Q[1-4]$/.test(p)) return 'quarter'
if (/^\d{4}-\d{2}$/.test(p)) return 'month'
if (/^\d{4}-\d{2}-\d{2}$/.test(p)) return 'day'
return 'month'
}
// 写 Indicator 元数据 + 全量替换明细点 (每指标一个事务)
async function upsertIndicatorWithPoints(conn, payload) {
const { name, groupName, data, hidden } = payload
const title = data.title || name
const unit = data.unit || ''
const source = data.source || ''
const frequency = inferFrequency(data)
const rows = Array.isArray(data.rows) ? data.rows : []
await conn.beginTransaction()
try {
const [res] = await conn.execute(
'INSERT INTO `Indicator` (`name`, `groupName`, `title`, `unit`, `source`, `frequency`, `hidden`, `createdAt`, `updatedAt`) ' +
'VALUES (?, ?, ?, ?, ?, ?, ?, NOW(3), NOW(3)) ' +
'ON DUPLICATE KEY UPDATE `groupName` = VALUES(`groupName`), `title` = VALUES(`title`), ' +
'`unit` = VALUES(`unit`), `source` = VALUES(`source`), `frequency` = VALUES(`frequency`), ' +
'`hidden` = VALUES(`hidden`), `updatedAt` = NOW(3)',
[name, groupName, title, unit, source, frequency, hidden ? 1 : 0],
)
const indicatorId = res.insertId
// 明细: 先删旧点再插入新点 (全量替换, 保证与数据源一致)
await conn.execute('DELETE FROM `IndicatorPoint` WHERE `indicatorId` = ?', [indicatorId])
let points = 0
for (const r of rows) {
const period = String(r.period !== undefined ? r.period : (r.month !== undefined ? r.month : r.year))
const value = Number(r.value)
if (!period || Number.isNaN(value)) continue
await conn.execute(
'INSERT INTO `IndicatorPoint` (`indicatorId`, `period`, `value`, `createdAt`, `updatedAt`) VALUES (?, ?, ?, NOW(3), NOW(3))',
[indicatorId, period, value],
)
points++
}
await conn.commit()
return { indicatorId, points }
} catch (e) {
await conn.rollback()
throw e
}
}
async function fetchExistingNames(conn) {
const [rows] = await conn.execute('SELECT `name` FROM `Indicator`')
return new Set(rows.map((r) => r.name))
}
async function main() {
if (!process.env.DATABASE_URL) {
console.error('缺少 DATABASE_URL 环境变量')
process.exit(1)
}
const force = parseForceArg(process.argv.slice(2))
if (force.size) console.log('[Refresh] 强制刷新: ' + [...force].join(', '))
const conn = await mysql.createConnection(parseUrl(process.env.DATABASE_URL))
try {
// 1) 查 DB 已存在的指标名
const existing = await fetchExistingNames(conn)
console.log('[Refresh] DB 已有 ' + existing.size + ' 个指标: ' + ([...existing].join(', ') || '(空)'))
// 2) 跑所有 fetcher, 传入 existing + force (DB 优先, force 覆盖)
const { runFetchers } = await import('./fetchers/index.js')
const fetcherResults = await runFetchers({ skipNames: existing, forceNames: force })
// 3) 汇总: force 名单里的指标即使 DB 已有也写入
const allItems = []
let skipped = 0, failed = 0
for (const r of fetcherResults) {
if (r.skipped) { skipped++; continue }
if (!r.ok) { failed++; continue }
for (const it of r.items) {
if (existing.has(it.name) && !force.has(it.name)) continue
allItems.push(it)
}
}
console.log('\n[Refresh] 汇总: ' + allItems.length + ' 个指标待写 (跳过 ' + skipped + ' 个数据源, 失败 ' + failed + ' 个, DB 已存在 ' + existing.size + ' 个)')
if (failed > 0) {
console.error('[Refresh] 警告: 有数据源失败, 仅写入成功的指标')
}
// 5) 同步隐藏标记: 即使指标被 DB 优先跳过, 名单内的也确保 hidden=true
if (HIDDEN_INDICATORS.size > 0) {
const names = [...HIDDEN_INDICATORS]
const ph = names.map(() => '?').join(',')
const sql = "UPDATE `Indicator` SET `hidden` = 1, `updatedAt` = NOW(3) WHERE `name` IN (" + ph + ")"
await conn.execute(sql, names)
console.log('[Refresh] 同步隐藏标记: ' + names.length + ' 个指标 hidden=true (数据保留, 不展示)')
}
// 6) 跨源对比报警: 全量跑一次 (即便无新指标也跑, 防止上次漏检)
try {
const m = await import('../server/alert-engine.js')
const a = await m.checkAfterRefresh(conn)
console.log('[Refresh] 报警检测: 新增 ' + a.inserted + ' 条 (扫描 ' + a.scanned + ')')
} catch (e) { console.error('[Refresh] 报警检测异常:', e.message) }
if (allItems.length === 0) {
console.log('[Refresh] 无指标待写, 不写库 (DB 优先策略生效)')
return
}
// 4) 写库
console.log('[Refresh] 写入数据库...')
let ins = 0, upd = 0, totalPoints = 0
for (const it of allItems) {
const hidden = HIDDEN_INDICATORS.has(it.name)
const { points } = await upsertIndicatorWithPoints(conn, { name: it.name, groupName: it.groupName, data: it.data, hidden })
if (points > 0) ins++
else upd++
totalPoints += points
console.log('[Refresh] ' + it.name + (hidden ? ' (hidden)' : '') + ': ' + points + ' 个明细点')
}
} finally {
await conn.end()
}
}
main().catch((e) => {
console.error('[Refresh] 异常:', e)
process.exit(1)
})
-338
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@@ -1,338 +0,0 @@
import { createPool } from 'mariadb';
import { fetch as fetchSH300Data } from '../fetchers/sh300.fetcher.js';
import fs from 'fs';
import path from 'path';
let pool;
function loadDatabaseConfig() {
const envPath = path.join(process.cwd(), '.env');
if (fs.existsSync(envPath)) {
console.log('读取 .env 文件...');
const envContent = fs.readFileSync(envPath, 'utf-8');
const lines = envContent.split('\n');
for (const line of lines) {
const trimmedLine = line.trim();
if (trimmedLine.startsWith('DATABASE_URL=')) {
const url = trimmedLine.substring('DATABASE_URL='.length).replace(/^"|"$/g, '');
console.log('从 .env 文件获取数据库配置成功!');
console.log(`DATABASE_URL: ${url}`);
// 解析URL
const parts = url.split('://')[1].split('@');
const auth = parts[0].split(':');
const hostAndDb = parts[1].split('/');
const hostAndPort = hostAndDb[0].split(':');
return {
user: auth[0],
password: auth[1],
host: hostAndPort[0],
port: parseInt(hostAndPort[1]),
database: hostAndDb[1]
};
}
}
}
console.log('未找到 .env 文件或 DATABASE_URL 配置,使用默认配置');
return {
host: '192.168.111.111',
port: 3306,
user: 'root',
password: 'fullstack',
database: 'iboard'
};
}
async function initPool() {
if (!pool) {
console.log('初始化数据库连接池...');
const config = loadDatabaseConfig();
console.log('数据库配置:');
console.log(` 主机: ${config.host}`);
console.log(` 端口: ${config.port}`);
console.log(` 用户: ${config.user}`);
console.log(` 数据库: ${config.database}`);
pool = createPool({
host: config.host,
port: config.port,
user: config.user,
password: config.password,
database: config.database,
connectionLimit: 5
});
try {
const conn = await pool.getConnection();
console.log('数据库连接成功!');
conn.release();
} catch (error) {
console.error('数据库连接失败:', error.message);
throw error;
}
}
return pool;
}
async function checkAndFillSH300Data(startDate = null, endDate = null) {
try {
await initPool();
console.log('='.repeat(60));
console.log('开始检查和补充沪深300指数数据...');
console.log('='.repeat(60));
const currentDate = new Date();
if (!startDate) {
startDate = new Date(currentDate);
startDate.setDate(startDate.getDate() - 30);
startDate = startDate.toISOString().split('T')[0];
}
if (!endDate) {
endDate = currentDate.toISOString().split('T')[0];
}
console.log(`检查时间范围: ${startDate} 至 ${endDate}`);
// 1. 检查数据库中是否存在沪深300指数数据表
const hasTable = await checkTableExists();
if (!hasTable) {
console.log('创建沪深300指数数据表...');
await createSH300Table();
}
// 2. 检查数据库中已有的数据
const existingData = await getExistingSH300Data(startDate, endDate);
console.log(`数据库中已有 ${existingData.length} 条数据`);
// 3. 计算缺失的日期
const missingDates = calculateMissingDates(startDate, endDate, existingData);
console.log(`缺失 ${missingDates.length} 天的数据`);
// 4. 如果有缺失,调用 fetcher 补足
if (missingDates.length > 0) {
console.log('\n开始获取缺失的沪深300指数数据...');
const firstMissingDate = missingDates[0];
const lastMissingDate = missingDates[missingDates.length - 1];
console.log(`获取范围: ${firstMissingDate} 至 ${lastMissingDate}`);
const fetchedData = await fetchSH300Data(firstMissingDate, lastMissingDate);
console.log(`\n获取到 ${fetchedData.count} 条数据`);
// 5. 存储新数据到数据库
const storedCount = await storeSH300Data(fetchedData.data);
console.log(`成功存储 ${storedCount} 条数据`);
} else {
console.log('\n数据库数据完整,无需补充');
}
// 6. 验证最终数据完整性
const finalData = await getExistingSH300Data(startDate, endDate);
console.log(`\n验证后的数据总量: ${finalData.length} 条`);
return {
startDate,
endDate,
existingCount: existingData.length,
missingCount: missingDates.length,
finalCount: finalData.length,
success: true
};
} catch (error) {
console.error('检查和补充沪深300指数数据失败:', error.message);
throw error;
} finally {
if (pool) {
await pool.end();
console.log('数据库连接池已关闭');
}
}
}
async function checkTableExists() {
try {
console.log('检查沪深300指数数据表是否存在...');
const result = await pool.query('SHOW TABLES LIKE ?', ['econ_SH300Index']);
return result.length > 0;
} catch (error) {
console.error('检查表存在失败:', error.message);
return false;
}
}
async function createSH300Table() {
try {
console.log('执行创建沪深300指数数据表SQL...');
await pool.query(`
CREATE TABLE IF NOT EXISTS econ_SH300Index (
id INT AUTO_INCREMENT PRIMARY KEY,
date DATE UNIQUE NOT NULL,
symbol VARCHAR(10) NOT NULL,
open DECIMAL(10,2) NOT NULL,
close DECIMAL(10,2) NOT NULL,
high DECIMAL(10,2) NOT NULL,
low DECIMAL(10,2) NOT NULL,
volume DECIMAL(20,2) NOT NULL,
amount DECIMAL(20,2) NOT NULL,
source VARCHAR(100) NOT NULL,
createdAt TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updatedAt TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
`);
console.log('沪深300指数数据表创建成功');
} catch (error) {
console.error('创建沪深300指数数据表失败:', error.message);
throw error;
}
}
async function getExistingSH300Data(startDate, endDate) {
try {
console.log('查询已有沪深300指数数据...');
const result = await pool.query(
'SELECT date FROM econ_SH300Index WHERE date BETWEEN ? AND ? ORDER BY date',
[startDate, endDate]
);
const dates = result.map(row => {
if (row.date instanceof Date) {
return row.date.toISOString().split('T')[0];
} else if (typeof row.date === 'string') {
return row.date;
}
return null;
}).filter(Boolean);
console.log(`查询到 ${dates.length} 条数据`);
return dates;
} catch (error) {
console.error('查询已有沪深300指数数据失败:', error.message);
return [];
}
}
function calculateMissingDates(startDate, endDate, existingDates) {
const existingSet = new Set(existingDates);
const missingDates = [];
const currentDate = new Date(startDate);
const finalDate = new Date(endDate);
while (currentDate <= finalDate) {
const dateStr = currentDate.toISOString().split('T')[0];
const dayOfWeek = currentDate.getDay();
// 跳过周末(周末没有股市数据)
if (dayOfWeek !== 0 && dayOfWeek !== 6) {
if (!existingSet.has(dateStr)) {
missingDates.push(dateStr);
}
}
currentDate.setDate(currentDate.getDate() + 1);
}
return missingDates;
}
async function storeSH300Data(data) {
let storedCount = 0;
for (const item of data) {
try {
await pool.query(
'INSERT INTO econ_SH300Index (date, symbol, open, close, high, low, volume, amount, source) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?) ON DUPLICATE KEY UPDATE open = VALUES(open), close = VALUES(close), high = VALUES(high), low = VALUES(low), volume = VALUES(volume), amount = VALUES(amount), source = VALUES(source)',
[item.date, 'sh000300', item.open, item.close, item.high, item.low, item.volume, item.amount, item.source]
);
storedCount++;
} catch (error) {
console.error(`存储沪深300指数数据 ${item.date} 失败:`, error.message);
}
}
return storedCount;
}
export async function trigger(startDate = null, endDate = null) {
return await checkAndFillSH300Data(startDate, endDate);
}
function parseCommandLineArgs() {
const args = process.argv.slice(2);
let startDate = null;
let endDate = null;
for (let i = 0; i < args.length; i++) {
if (args[i] === '--start' && i + 1 < args.length) {
startDate = args[i + 1];
i++;
} else if (args[i] === '--end' && i + 1 < args.length) {
endDate = args[i + 1];
i++;
} else if (args[i] === '--help') {
console.log('使用方法:');
console.log(' bun sh300.scraper.js [选项]');
console.log('');
console.log('选项:');
console.log(' --start YYYY-MM-DD 指定开始日期');
console.log(' --end YYYY-MM-DD 指定结束日期');
console.log(' --help 显示帮助信息');
console.log('');
console.log('示例:');
console.log(' bun sh300.scraper.js');
console.log(' bun sh300.scraper.js --start 2024-01-01 --end 2024-01-31');
process.exit(0);
}
}
return { startDate, endDate };
}
async function runTest() {
console.log('='.repeat(60));
console.log('测试 sh300.scraper.js');
console.log('='.repeat(60));
const { startDate, endDate } = parseCommandLineArgs();
if (startDate) {
console.log(`\n使用命令行参数:`);
console.log(` 开始日期: ${startDate}`);
console.log(` 结束日期: ${endDate || '默认'}`);
}
console.log('\n测试数据库配置读取...');
const config = loadDatabaseConfig();
console.log('配置读取结果:');
console.log(` 主机: ${config.host}`);
console.log(` 端口: ${config.port}`);
console.log(` 用户: ${config.user}`);
console.log(` 数据库: ${config.database}`);
console.log('配置读取测试完成!');
try {
const result = await trigger(startDate, endDate);
console.log('\n' + '='.repeat(60));
console.log('测试结果:');
console.log(` 开始日期: ${result.startDate}`);
console.log(` 结束日期: ${result.endDate}`);
console.log(` 原有数据: ${result.existingCount} 条`);
console.log(` 缺失数据: ${result.missingCount} 条`);
console.log(` 最终数据: ${result.finalCount} 条`);
console.log(` 操作成功: ${result.success}`);
console.log('='.repeat(60));
} catch (error) {
console.error('测试失败:', error);
process.exit(1);
}
}
runTest();
-335
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@@ -1,335 +0,0 @@
import { createPool } from 'mariadb';
import { fetch as fetchUSDToCNYRate } from '../fetchers/usd-cny-rate.fetcher.js';
import fs from 'fs';
import path from 'path';
let pool;
function loadDatabaseConfig() {
const envPath = path.join(process.cwd(), '.env');
if (fs.existsSync(envPath)) {
console.log('读取 .env 文件...');
const envContent = fs.readFileSync(envPath, 'utf-8');
const lines = envContent.split('\n');
for (const line of lines) {
const trimmedLine = line.trim();
if (trimmedLine.startsWith('DATABASE_URL=')) {
const url = trimmedLine.substring('DATABASE_URL='.length).replace(/^"|"$/g, '');
console.log('从 .env 文件获取数据库配置成功!');
console.log(`DATABASE_URL: ${url}`);
// 解析URL
const parts = url.split('://')[1].split('@');
const auth = parts[0].split(':');
const hostAndDb = parts[1].split('/');
const hostAndPort = hostAndDb[0].split(':');
return {
user: auth[0],
password: auth[1],
host: hostAndPort[0],
port: parseInt(hostAndPort[1]),
database: hostAndDb[1]
};
}
}
}
console.log('未找到 .env 文件或 DATABASE_URL 配置,使用默认配置');
return {
host: '192.168.111.111',
port: 3306,
user: 'root',
password: 'fullstack',
database: 'iboard'
};
}
async function initPool() {
if (!pool) {
console.log('初始化数据库连接池...');
const config = loadDatabaseConfig();
console.log('数据库配置:');
console.log(` 主机: ${config.host}`);
console.log(` 端口: ${config.port}`);
console.log(` 用户: ${config.user}`);
console.log(` 数据库: ${config.database}`);
pool = createPool({
host: config.host,
port: config.port,
user: config.user,
password: config.password,
database: config.database,
connectionLimit: 5
});
try {
const conn = await pool.getConnection();
console.log('数据库连接成功!');
conn.release();
} catch (error) {
console.error('数据库连接失败:', error.message);
throw error;
}
}
return pool;
}
async function checkAndFillUSDCNYRate(startDate = null, endDate = null) {
try {
await initPool();
console.log('='.repeat(60));
console.log('开始检查和补充人民币美元汇率数据...');
console.log('='.repeat(60));
const currentDate = new Date();
if (!startDate) {
startDate = new Date(currentDate);
startDate.setDate(startDate.getDate() - 30);
startDate = startDate.toISOString().split('T')[0];
}
if (!endDate) {
endDate = currentDate.toISOString().split('T')[0];
}
console.log(`检查时间范围: ${startDate} 至 ${endDate}`);
// 1. 检查数据库中是否存在汇率数据表
const hasTable = await checkTableExists();
if (!hasTable) {
console.log('创建汇率数据表...');
await createExchangeRateTable();
}
// 2. 检查数据库中已有的数据
const existingData = await getExistingExchangeRates(startDate, endDate);
console.log(`数据库中已有 ${existingData.length} 条数据`);
// 3. 计算缺失的日期
const missingDates = calculateMissingDates(startDate, endDate, existingData);
console.log(`缺失 ${missingDates.length} 天的数据`);
// 4. 如果有缺失,调用 fetcher 补足
if (missingDates.length > 0) {
console.log('\n开始获取缺失的汇率数据...');
const firstMissingDate = missingDates[0];
const lastMissingDate = missingDates[missingDates.length - 1];
console.log(`获取范围: ${firstMissingDate} 至 ${lastMissingDate}`);
const fetchedData = await fetchUSDToCNYRate(firstMissingDate, lastMissingDate);
console.log(`\n获取到 ${fetchedData.count} 条数据`);
// 5. 存储新数据到数据库
const storedCount = await storeExchangeRates(fetchedData.data);
console.log(`成功存储 ${storedCount} 条数据`);
} else {
console.log('\n数据库数据完整,无需补充');
}
// 6. 验证最终数据完整性
const finalData = await getExistingExchangeRates(startDate, endDate);
console.log(`\n验证后的数据总量: ${finalData.length} 条`);
return {
startDate,
endDate,
existingCount: existingData.length,
missingCount: missingDates.length,
finalCount: finalData.length,
success: true
};
} catch (error) {
console.error('检查和补充汇率数据失败:', error.message);
throw error;
} finally {
if (pool) {
await pool.end();
console.log('数据库连接池已关闭');
}
}
}
async function checkTableExists() {
try {
console.log('检查汇率数据表是否存在...');
const result = await pool.query('SHOW TABLES LIKE ?', ['econ_ExchangeRate']);
return result.length > 0;
} catch (error) {
console.error('检查表存在失败:', error.message);
return false;
}
}
async function createExchangeRateTable() {
try {
console.log('执行创建汇率数据表SQL...');
await pool.query(`
CREATE TABLE IF NOT EXISTS econ_ExchangeRate (
id INT AUTO_INCREMENT PRIMARY KEY,
date DATE UNIQUE NOT NULL,
currency VARCHAR(10) NOT NULL,
centerPrice DECIMAL(10,4) NOT NULL,
sellingRate DECIMAL(10,4) NOT NULL,
buyingRate DECIMAL(10,4) NOT NULL,
source VARCHAR(100) NOT NULL,
createdAt TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updatedAt TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
`);
console.log('汇率数据表创建成功');
} catch (error) {
console.error('创建汇率数据表失败:', error.message);
throw error;
}
}
async function getExistingExchangeRates(startDate, endDate) {
try {
console.log('查询已有汇率数据...');
const result = await pool.query(
'SELECT date FROM econ_ExchangeRate WHERE date BETWEEN ? AND ? ORDER BY date',
[startDate, endDate]
);
const dates = result.map(row => {
if (row.date instanceof Date) {
return row.date.toISOString().split('T')[0];
} else if (typeof row.date === 'string') {
return row.date;
}
return null;
}).filter(Boolean);
console.log(`查询到 ${dates.length} 条数据`);
return dates;
} catch (error) {
console.error('查询已有汇率数据失败:', error.message);
return [];
}
}
function calculateMissingDates(startDate, endDate, existingDates) {
const existingSet = new Set(existingDates);
const missingDates = [];
const currentDate = new Date(startDate);
const finalDate = new Date(endDate);
while (currentDate <= finalDate) {
const dateStr = currentDate.toISOString().split('T')[0];
const dayOfWeek = currentDate.getDay();
// 跳过周末(周末没有汇率数据)
if (dayOfWeek !== 0 && dayOfWeek !== 6) {
if (!existingSet.has(dateStr)) {
missingDates.push(dateStr);
}
}
currentDate.setDate(currentDate.getDate() + 1);
}
return missingDates;
}
async function storeExchangeRates(rates) {
let storedCount = 0;
for (const rate of rates) {
try {
await pool.query(
'INSERT INTO econ_ExchangeRate (date, currency, centerPrice, sellingRate, buyingRate, source) VALUES (?, ?, ?, ?, ?, ?) ON DUPLICATE KEY UPDATE centerPrice = VALUES(centerPrice), sellingRate = VALUES(sellingRate), buyingRate = VALUES(buyingRate), source = VALUES(source)',
[rate.date, rate.currency, rate.centerPrice, rate.sellingRate, rate.buyingRate, rate.source]
);
storedCount++;
} catch (error) {
console.error(`存储汇率数据 ${rate.date} 失败:`, error.message);
}
}
return storedCount;
}
export async function trigger(startDate = null, endDate = null) {
return await checkAndFillUSDCNYRate(startDate, endDate);
}
function parseCommandLineArgs() {
const args = process.argv.slice(2);
let startDate = null;
let endDate = null;
for (let i = 0; i < args.length; i++) {
if (args[i] === '--start' && i + 1 < args.length) {
startDate = args[i + 1];
i++;
} else if (args[i] === '--end' && i + 1 < args.length) {
endDate = args[i + 1];
i++;
} else if (args[i] === '--help') {
console.log('使用方法:');
console.log(' bun usd-cny-rate.scraper.js [选项]');
console.log('');
console.log('选项:');
console.log(' --start YYYY-MM-DD 指定开始日期');
console.log(' --end YYYY-MM-DD 指定结束日期');
console.log(' --help 显示帮助信息');
console.log('');
console.log('示例:');
console.log(' bun usd-cny-rate.scraper.js');
console.log(' bun usd-cny-rate.scraper.js --start 2024-01-01 --end 2024-01-31');
process.exit(0);
}
}
return { startDate, endDate };
}
async function runTest() {
console.log('='.repeat(60));
console.log('测试 usd-cny-rate.scraper.js');
console.log('='.repeat(60));
const { startDate, endDate } = parseCommandLineArgs();
if (startDate) {
console.log(`\n使用命令行参数:`);
console.log(` 开始日期: ${startDate}`);
console.log(` 结束日期: ${endDate || '默认'}`);
}
console.log('\n测试数据库配置读取...');
const config = loadDatabaseConfig();
console.log('配置读取结果:');
console.log(` 主机: ${config.host}`);
console.log(` 端口: ${config.port}`);
console.log(` 用户: ${config.user}`);
console.log(` 数据库: ${config.database}`);
console.log('配置读取测试完成!');
try {
const result = await trigger(startDate, endDate);
console.log('\n' + '='.repeat(60));
console.log('测试结果:');
console.log(` 开始日期: ${result.startDate}`);
console.log(` 结束日期: ${result.endDate}`);
console.log(` 原有数据: ${result.existingCount} 条`);
console.log(` 缺失数据: ${result.missingCount} 条`);
console.log(` 最终数据: ${result.finalCount} 条`);
console.log(` 操作成功: ${result.success}`);
console.log('='.repeat(60));
} catch (error) {
console.error('测试失败:', error);
process.exit(1);
}
}
runTest();
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+1 -47
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@@ -1,7 +1,7 @@
/**
* iBoard 基础数据初始化脚本
* 用法: npm run db:seed
* 幂等: 主键/唯一键冲突跳过, Strategy/Indicator 按 name 存在则更新
* 幂等: 主键/唯一键冲突跳过
*/
require('dotenv').config();
@@ -35,19 +35,6 @@ async function insertIgnore(conn, sql, params) {
}
}
async function upsertByName(conn, table, payload, keyField) {
const fields = Object.keys(payload);
const placeholders = fields.map(() => '?').join(', ');
const updateClause = fields
.filter((f) => f !== keyField)
.map((f) => '`' + f + '` = VALUES(`' + f + '`)')
.join(', ');
const sql = 'INSERT INTO `' + table + '` (' + fields.map((f) => '`' + f + '`').join(', ') + ') VALUES (' + placeholders + ') ON DUPLICATE KEY UPDATE ' + updateClause;
const params = fields.map((f) => payload[f]);
const [r] = await conn.execute(sql, params);
return r.affectedRows;
}
async function main() {
const cfg = parseUrl(process.env.DATABASE_URL);
if (!cfg.host) throw new Error('DATABASE_URL 未配置或解析失败');
@@ -62,39 +49,6 @@ async function main() {
);
console.log('[User] 新增管理员: ' + n1 + ' 行 (admin@iboard.local / admin123)');
const strategies = [
{ name: 'us-debt-gdp', description: '美国政府债务/GDP分析',
data: { source: 'strategy.js', unit: '万亿美元', rows: [
{ year: '2019', debt: 22.7, gdp: 21.4, debtToGdp: 106.1, interestToGdp: 1.8 },
{ year: '2020', debt: 26.9, gdp: 20.9, debtToGdp: 128.7, interestToGdp: 1.6 },
{ year: '2021', debt: 28.4, gdp: 23.0, debtToGdp: 123.5, interestToGdp: 1.5 },
{ year: '2022', debt: 30.9, gdp: 25.4, debtToGdp: 121.6, interestToGdp: 1.6 },
{ year: '2023', debt: 33.1, gdp: 26.9, debtToGdp: 123.0, interestToGdp: 1.9 },
{ year: '2024', debt: 35.3, gdp: 28.5, debtToGdp: 123.9, interestToGdp: 2.1 },
]},
},
{ name: 'china-debt-gdp', description: '中国政府债务/GDP分析',
data: { source: 'strategy.js', unit: '万亿美元', rows: [
{ year: '2019', debt: 8.8, gdp: 14.3, debtToGdp: 61.5, interestToGdp: 1.9 },
{ year: '2020', debt: 10.3, gdp: 14.7, debtToGdp: 70.1, interestToGdp: 1.8 },
{ year: '2021', debt: 11.7, gdp: 16.1, debtToGdp: 72.7, interestToGdp: 1.7 },
{ year: '2022', debt: 13.1, gdp: 17.9, debtToGdp: 73.2, interestToGdp: 1.6 },
{ year: '2023', debt: 14.5, gdp: 19.4, debtToGdp: 74.7, interestToGdp: 1.6 },
{ year: '2024', debt: 15.9, gdp: 21.0, debtToGdp: 75.7, interestToGdp: 1.5 },
]},
},
];
let n2 = 0;
for (const s of strategies) {
n2 += await upsertByName(conn, 'Strategy',
{ name: s.name, description: s.description, data: JSON.stringify(s.data), updatedAt: new Date() },
'name');
}
console.log('[Strategy] upsert 策略: ' + n2 + ' 行 (1=新增, 2=更新)');
// Indicator 表: 改由 scripts/refresh-indicators.cjs 管理 (2026-08 重构后数据存 IndicatorPoint 明细表)
// 本脚本不再写入 Indicator, 如需初始化指标请运行 npm run data:refresh
const article = {
title: '欢迎使用 iBoard',
slug: 'welcome-to-iboard',
-22
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@@ -1,22 +0,0 @@
require('dotenv').config();
const mysql = require('mysql2/promise');
(async () => {
const u = new URL(process.env.DATABASE_URL);
const c = await mysql.createConnection({
host: u.hostname, port: Number(u.port),
user: decodeURIComponent(u.username),
password: decodeURIComponent(u.password),
database: u.pathname.replace(/^\//, ''),
});
const [users] = await c.query('SELECT id,name,email,LEFT(password,20) AS pwd_prefix,createdAt FROM User');
console.log('User:'); console.table(users);
const [sow] = await c.query('SELECT * FROM Econ_SowInventory ORDER BY month');
console.log('Econ_SowInventory:'); console.table(sow);
const [str] = await c.query('SELECT id,name,description,JSON_LENGTH(data,"$.rows") AS row_count FROM Strategy');
console.log('Strategy:'); console.table(str);
const [ind] = await c.query('SELECT id,name,groupName,JSON_LENGTH(data,"$.rows") AS row_count FROM Indicator');
console.log('Indicator:'); console.table(ind);
const [art] = await c.query('SELECT id,title,slug,date FROM Article');
console.log('Article:'); console.table(art);
await c.end();
})().catch(e=>{console.error(e);process.exit(1)});
-31
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@@ -1,31 +0,0 @@
import 'dotenv/config'
import { PrismaMariaDb } from '@prisma/adapter-mariadb'
import { PrismaClient } from '../generated/prisma/client.ts'
function parseDatabaseUrl(url) {
const u = new URL(url)
return {
host: u.hostname,
port: Number(u.port) || 3306,
user: decodeURIComponent(u.username),
password: decodeURIComponent(u.password),
database: u.pathname.replace(/^\//, ''),
}
}
const p = new PrismaClient({ adapter: new PrismaMariaDb(parseDatabaseUrl(process.env.DATABASE_URL)) })
try {
const users = await p.user.findMany()
console.log('User count:', users.length, '->', users.map((u) => u.email).join(','))
const strategies = await p.strategy.findMany({ select: { id: true, name: true } })
console.log('Strategy count:', strategies.length, '->', strategies.map((s) => s.name).join(','))
const indicators = await p.indicator.findMany({ select: { id: true, name: true } })
console.log('Indicator count:', indicators.length, '->', indicators.map((i) => i.name).join(','))
const sow = await p.econ_SowInventory.findMany({ orderBy: { month: 'asc' } })
console.log('SowInventory count:', sow.length, '->', sow.map((s) => s.month + '=' + s.inventory).join(','))
} catch (e) {
console.error('ERR:', e.message)
process.exitCode = 1
} finally {
await p.$disconnect()
}
-22
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@@ -1,22 +0,0 @@
require('dotenv').config();
const mysql = require('mysql2/promise');
(async () => {
const url = new URL(process.env.DATABASE_URL);
const conn = await mysql.createConnection({
host: url.hostname,
port: Number(url.port),
user: decodeURIComponent(url.username),
password: decodeURIComponent(url.password),
database: url.pathname.replace(/^\//, ''),
});
const [tables] = await conn.query('SHOW TABLES');
console.log('TABLES:');
for (const row of tables) console.log(' -', Object.values(row)[0]);
const tableNames = ['User', 'Article', 'Strategy', 'Indicator', 'Econ_SowInventory'];
for (const t of tableNames) {
const [r] = await conn.query('SELECT COUNT(*) AS c FROM ' + t + '');
console.log(t + ': ' + r[0].c + ' rows');
}
await conn.end();
})().catch((e) => { console.error('ERR:', e.message); process.exit(1); });
-15
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@@ -1,15 +0,0 @@
const { PrismaClient } = require('../generated/prisma');
(async () => {
const p = new PrismaClient();
const tables = await p.$queryRawUnsafe('SHOW TABLES');
console.log('TABLES:', JSON.stringify(tables, null, 2));
const counts = {
User: await p.user.count(),
Article: await p.article.count(),
Strategy: await p.strategy.count(),
Indicator: await p.indicator.count(),
Econ_SowInventory: await p.econ_SowInventory.count(),
};
console.log('COUNTS:', JSON.stringify(counts, null, 2));
await p.$disconnect();
})().catch((e) => { console.error(e); process.exit(1); });
-22
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@@ -1,22 +0,0 @@
import 'dotenv/config';
import { PrismaClient } from '../generated/prisma/client.ts';
const url = process.env.DATABASE_URL;
const p = new PrismaClient({ datasourceUrl: url });
try {
const tables = await p.$queryRawUnsafe('SHOW TABLES');
console.log('TABLES:', JSON.stringify(tables, null, 2));
const counts = {
User: await p.user.count(),
Article: await p.article.count(),
Strategy: await p.strategy.count(),
Indicator: await p.indicator.count(),
Econ_SowInventory: await p.econ_SowInventory.count(),
};
console.log('COUNTS:', JSON.stringify(counts, null, 2));
} catch (e) {
console.error('ERR:', e.message);
process.exitCode = 1;
} finally {
await p.$disconnect();
}
-46
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@@ -1,46 +0,0 @@
import { prisma } from './db.js'
// 跨源对比: 同 (indicatorName, period) 多源数据差异超阈值则插 Alert
// conn: mysql2 连接
// 阈值: 绝对差 >= 0.01 且 相对差 >= 1%
// 返回 { inserted, scanned }
const ABS_TOL = 0.01
const REL_TOL = 0.01
export async function checkAfterRefresh(conn) {
// conn 是 mysql2 连接, 走原始 SQL
const [rows] = await conn.execute(`
SELECT ia.name AS indicatorName, a.period, ia.source, a.value
FROM IndicatorPoint a
JOIN Indicator ia ON a.indicatorId = ia.id
ORDER BY ia.name, a.period
`)
const groups = new Map()
for (const r of rows) {
const k = r.indicatorName + '|' + r.period
if (!groups.has(k)) groups.set(k, [])
groups.get(k).push({ source: r.source, value: Number(r.value) })
}
let inserted = 0
for (const [k, arr] of groups) {
if (arr.length < 2) continue
const sources = new Set(arr.map((x) => x.source))
if (sources.size < 2) continue
for (let i = 0; i < arr.length; i++) {
for (let j = i + 1; j < arr.length; j++) {
const A = arr[i], B = arr[j]
const diff = Math.abs(A.value - B.value)
const base = Math.max(Math.abs(A.value), Math.abs(B.value), 1e-9)
const ratio = diff / base
if (diff < ABS_TOL || ratio < REL_TOL) continue
const [name, period] = k.split('|')
const [r] = await conn.execute(
'INSERT INTO `Alert` (`indicatorName`, `period`, `valueA`, `valueB`, `sourceA`, `sourceB`, `diff`, `diffRatio`, `createdAt`) VALUES (?, ?, ?, ?, ?, ?, ?, ?, NOW(3))',
[name, period, A.value, B.value, A.source, B.source, diff, ratio],
)
if (r.affectedRows === 1) inserted++
}
}
}
return { inserted, scanned: rows.length }
}
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@@ -1,46 +0,0 @@
// apizero 接口的文件缓存
// - 按 key 存 JSON 到磁盘: <APIZERO_CACHE_DIR>/<key>.json
// - 存在性检查: 文件在即视为有效 (用户要求: "同一个年份只要存在就不再调用接口")
// - 不做 TTL: 用户没要求, 也避免误命中过期数据
//
// 环境变量:
// APIZERO_CACHE_DIR 缓存目录 (默认 <cwd>/cache/apizero)
//
// 未来若要加 TTL / DB 后端, 替换本文件即可, 上层调用方不变.
import fs from 'node:fs'
import path from 'node:path'
function dir() {
return process.env.APIZERO_CACHE_DIR
? path.resolve(process.env.APIZERO_CACHE_DIR)
: path.resolve(process.cwd(), 'cache', 'apizero')
}
// 读缓存, 不存在返回 null
export function read(key) {
const p = path.join(dir(), key + '.json')
if (!fs.existsSync(p)) return null
try {
const raw = fs.readFileSync(p, 'utf8')
return JSON.parse(raw)
} catch (e) {
console.warn(`[apizero-cache] 读 ${key} 失败, 忽略:`, e.message)
return null
}
}
// 写缓存 (原子: 先写 .tmp 再 rename)
export function write(key, data) {
const d = dir()
fs.mkdirSync(d, { recursive: true })
const final = path.join(d, key + '.json')
const tmp = final + '.tmp.' + process.pid
fs.writeFileSync(tmp, JSON.stringify(data), 'utf8')
fs.renameSync(tmp, final)
return final
}
// 存在性检查
export function has(key) {
return fs.existsSync(path.join(dir(), key + '.json'))
}
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@@ -1,77 +0,0 @@
// apizero (https://apizero.cn) 通用 HTTP 客户端
// - 统一从 env APIZERO_KEY 读取 API key (test key 也能用)
// - 统一 QPS 节流 (apizero 限制 3 req/s)
// - 统一错误格式: 抛出 ApizeroError(code, message, httpStatus)
// - 所有 apizero 接口都进这一层, 后续新增模块复用
//
// 依赖: 原生 fetch (Node 18+)
// 简易令牌桶, 限速 3 req/s
let lastCallAt = 0
const MIN_INTERVAL_MS = 1000 / 3 // ~333ms
async function throttle() {
const now = Date.now()
const wait = lastCallAt + MIN_INTERVAL_MS - now
if (wait > 0) await new Promise((r) => setTimeout(r, wait))
lastCallAt = Date.now()
}
// apizero 标准错误
export class ApizeroError extends Error {
constructor(code, message, httpStatus) {
super(message || `apizero error code=${code}`)
this.name = 'ApizeroError'
this.code = code
this.httpStatus = httpStatus
}
}
const BASE_URL = 'https://v1.apizero.cn/api'
// 读 key: 优先 env APIZERO_KEY, 否则用空 (匿名调用, 配额更小)
function getKey() {
return process.env.APIZERO_KEY || ''
}
// 通用 GET 入口
// - endpoint: 'oil-price-forecast' (不带 /api 前缀)
// - params: 普通对象
// 返回: apizero 的 data 字段 (已解一层)
export async function get(endpoint, params = {}) {
await throttle()
const qs = new URLSearchParams()
for (const [k, v] of Object.entries(params)) {
if (v !== undefined && v !== null && v !== '') qs.set(k, String(v))
}
const key = getKey()
if (key) qs.set('key', key)
const url = `${BASE_URL}/${endpoint}?${qs.toString()}`
let res
try {
res = await fetch(url, { method: 'GET', headers: { 'Accept': 'application/json' } })
} catch (e) {
throw new ApizeroError('NETWORK', `apizero 网络错误: ${e.message}`, 0)
}
// HTTP 层错误
if (!res.ok) {
let body = ''
try { body = await res.text() } catch { /* ignore */ }
throw new ApizeroError('HTTP', `apizero HTTP ${res.status}: ${body.substring(0, 200)}`, res.status)
}
// 解析 body
let json
try { json = await res.json() }
catch (e) { throw new ApizeroError('PARSE', 'apizero 响应非 JSON: ' + e.message, res.status) }
// apizero 业务层错误: code !== 0
if (json && typeof json.code === 'number' && json.code !== 0) {
throw new ApizeroError(json.code, json.msg || 'apizero 业务错误', res.status)
}
return json && json.data !== undefined ? json.data : json
}
-6
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@@ -1,6 +0,0 @@
// apizero 模块统一出口
// 后续新增 apizero 接口就在这里再 export 一行
export * as oil from './oil-price-forecast.js'
export * as history from './oil-history.js'
export { ApizeroError } from './client.js'
-87
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@@ -1,87 +0,0 @@
// 浙江省油价历史: 走 Prisma 落库 + apizero price 接口写入
// 设计:
// - 每天 04:00 cron 检查 schedule, 待定且 <= 昨天的调价日 -> 抓 price?province=浙江 存本表
// - unique (date, province, fuel) 防重复
// - 查询 API: 取某省某油品最近 N 天 (默认 180)
import { prisma } from '../db.js'
import * as client from './client.js'
const PROVINCE = '浙江'
// 油品 -> apizero prices 对象里的 key (price action 返回 "92号汽油" 这种带后缀的 key)
const FUEL_KEYS = {
'92': '92号汽油',
'95': '95号汽油',
'0': '0号柴油',
}
// 解析 apizero price action 返回的 prices (中文 key) -> 标准 fuel code
function parsePrice(data) {
if (!data || !data.prices) throw new Error('apizero 响应无 prices 字段')
const out = {}
for (const [fuel, label] of Object.entries(FUEL_KEYS)) {
const raw = data.prices[label]
if (typeof raw === 'string') {
// "7.64 元/升" -> 7.64
const m = raw.match(/^([\d.]+)/)
if (m) out[fuel] = parseFloat(m[1])
} else if (typeof raw === 'number') {
out[fuel] = raw
}
}
return out
}
// 抓一次浙江当前价并入库 (date = 今日)
// 返回 { inserted, skipped } (按 unique 约束: 已存在则 skip)
export async function fetchAndStore() {
const data = await client.get('oil-price-forecast', { action: 'price', province: PROVINCE })
const prices = parsePrice(data)
if (Object.keys(prices).length === 0) {
throw new Error('apizero 返回价格为空')
}
const date = new Date()
// 抹掉时分秒, 便于按天比较
date.setHours(0, 0, 0, 0)
let inserted = 0
let skipped = 0
for (const [fuel, price] of Object.entries(prices)) {
try {
await prisma.oilPriceHistory.create({
data: { date, province: PROVINCE, fuel, price, source: 'apizero' },
})
inserted++
} catch (e) {
// P2002: unique 冲突 -> 跳过
if (e?.code === 'P2002') skipped++
else throw e
}
}
return { inserted, skipped, date: date.toISOString().slice(0, 10) }
}
// 查询某省某油品最近 N 天
// province 必填, 默认 浙江
// fuel 可选, 留空返回 4 个油品
// days 默认 180
export async function query({ province = PROVINCE, fuel, days = 180 }) {
const since = new Date()
since.setDate(since.getDate() - days)
since.setHours(0, 0, 0, 0)
const where = { province, date: { gte: since } }
if (fuel) where.fuel = fuel
const rows = await prisma.oilPriceHistory.findMany({
where,
orderBy: [{ date: 'asc' }],
})
// 整形: Decimal -> number
return rows.map((r) => ({
date: r.date.toISOString().slice(0, 10),
province: r.province,
fuel: r.fuel,
price: Number(r.price),
}))
}
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@@ -1,41 +0,0 @@
// apizero: 今日油价 (oil-price-forecast)
// 4 个 action:
// forecast - 油价 + 国际原油 + 下次调价预测 (每次都查实时, 不缓存)
// price - 单省油价
// price-all - 32 省全部油价
// schedule - 某年调价日历 (按 year 缓存到文件, 同年份不重复调)
//
// 文档: https://apizero.cn/aidocs/oil-price-forecast/raw.md
import * as client from './client.js'
import * as cache from './cache.js'
// 调价日历: 按年份缓存, 文件存在即视为有效, 不重复调用
// cache key 形如 "oil-schedule-2026"
export async function getSchedule(year) {
const y = Number(year)
if (!Number.isInteger(y) || y < 2025 || y > 2026) {
throw new client.ApizeroError(4000, `year 不在 2025-2026 范围: ${year}`, 400)
}
const cacheKey = `oil-schedule-${y}`
const hit = cache.read(cacheKey)
if (hit) return { ...hit, _cached: true }
const data = await client.get('oil-price-forecast', { action: 'schedule', year: y })
cache.write(cacheKey, data)
return { ...data, _cached: false }
}
// 实时: 国际原油 + 下次调价预测
export async function getForecast() {
return client.get('oil-price-forecast', { action: 'forecast' })
}
// 单省油价
export async function getPrice(province) {
if (!province) throw new client.ApizeroError(4000, 'province 必填', 400)
return client.get('oil-price-forecast', { action: 'price', province })
}
// 32 省全部油价
export async function getPriceAll() {
return client.get('oil-price-forecast', { action: 'price-all' })
}
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@@ -1,8 +1,4 @@
import cron from 'node-cron'
import { prisma } from './db.js'
import mysql from 'mysql2/promise'
import { checkAfterRefresh } from './alert-engine.js'
import { ApizeroError, oil, history } from './apizero/index.js'
// scripts/ 下的可选脚本模块 (部署容器可能缺失或依赖不全): 惰性加载,
// 单个 fetcher 缺失只降级对应任务, 不拖垮 cron 整体注册。
@@ -20,16 +16,7 @@ async function alertError(taskName, message) {
}
}
function parseUrl(url) {
const u = new URL(url)
return { host: u.hostname, port: Number(u.port) || 3306, user: decodeURIComponent(u.username), password: decodeURIComponent(u.password), database: u.pathname.replace(/^\//, '') }
}
async function openConn() {
return mysql.createConnection(parseUrl(process.env.DATABASE_URL))
}
// 每天 6:00 (Asia/Shanghai) 拉取新闻 + 跑跨源对比, 出错生成报警
// 每天 6:00 (Asia/Shanghai) 拉取新闻, 出错生成报警
function scheduleNews() {
cron.schedule('0 6 * * *', async () => {
console.log('[cron] 6:00 触发')
@@ -38,56 +25,12 @@ function scheduleNews() {
const list = await fetchNewsList()
const r = await persistNews(list)
console.log('[cron] 新闻入库: 新增 ' + r.inserted + ' / 跳过 ' + r.skipped)
const conn = await openConn()
try {
const a = await checkAfterRefresh(conn)
console.log('[cron] 报警检测: 新增 ' + a.inserted + ' 条 (扫描 ' + a.scanned + ')')
} finally { await conn.end() }
} catch (e) {
console.error('[cron] 任务失败:', e.message)
await alertError('新闻拉取+报警检测', e.message)
await alertError('新闻拉取', e.message)
}
}, { timezone: 'Asia/Shanghai' })
console.log('[cron] 已注册: 每天 06:00 拉取新闻 + 跨源报警检测')
}
// 每天 6:10 (Asia/Shanghai) 抓浙江油价历史, 出错生成报警
// 逻辑: 拉今年 schedule, 检查待定且 <= 昨天的调价日, 命中就抓 price?province=浙江 存库
// - 0 命中: 不调 apizero (省配额)
// - >0 命中: 调一次, 4 个油品批量入库 (unique 兜底去重)
function scheduleOilHistory() {
cron.schedule('10 6 * * *', async () => {
console.log('[cron] 6:10 油价历史触发')
try {
const year = new Date().getFullYear()
const sched = await oil.getSchedule(year)
const list = sched.schedule || []
// 待定 且 日期 <= 昨天 (用 Asia/Shanghai 时区推导, 与 cron 触发时区对齐)
const todayStr = new Date().toLocaleDateString('en-CA', { timeZone: 'Asia/Shanghai' })
const today = new Date(todayStr + 'T00:00:00+08:00')
const yesterdayMs = today.getTime() - 86400000
const pendingPast = list.filter((it) => {
if (it.status !== '待定') return false
const t = new Date(it.date + 'T00:00:00').getTime()
return Number.isFinite(t) && t <= yesterdayMs
})
console.log('[cron] 待定且已过的调价日: ' + pendingPast.length + ' 个')
if (pendingPast.length === 0) {
console.log('[cron] 油价历史: 0 命中, 跳过 apizero 调用')
return
}
const r = await history.fetchAndStore()
console.log('[cron] 油价历史入库: 新增 ' + r.inserted + ' / 跳过 ' + r.skipped + ' (date=' + r.date + ')')
} catch (e) {
if (e instanceof ApizeroError) {
console.error('[cron] 油价历史 apizero 错误: code=' + e.code + ' msg=' + e.message)
} else {
console.error('[cron] 油价历史任务失败:', e.message)
}
await alertError('浙江油价历史抓取', e.message)
}
}, { timezone: 'Asia/Shanghai' })
console.log('[cron] 已注册: 每天 06:10 浙江油价历史抓取')
console.log('[cron] 已注册: 每天 06:00 拉取新闻')
}
// 每小时兜底: 任务自动归档扫描 (T-ARC-02; 项目加载时另有读时惰性执行)
@@ -106,5 +49,4 @@ function scheduleAutoArchive() {
}
scheduleNews()
scheduleOilHistory()
scheduleAutoArchive()
-2
View File
@@ -9,7 +9,6 @@ import newsRouter from './routes/news.js'
import alertsRouter from './routes/alerts.js'
import articlesRouter from './routes/articles.js'
import otaRouter from './routes/ota.js'
import apizeroRouter from './routes/apizero.js'
import monitorsRouter from './routes/monitors.js'
import mihomeRouter from './routes/mihome.js'
import checkinRouter from './routes/checkin.js'
@@ -43,7 +42,6 @@ app.use('/api', dataRouter)
app.use('/api', newsRouter)
app.use('/api', alertsRouter)
app.use('/api', articlesRouter)
app.use('/api', apizeroRouter)
app.use('/api', monitorsRouter)
app.use('/api/mihome', mihomeRouter)
// V0.2 打卡 / 日历 / 清单
-63
View File
@@ -1,63 +0,0 @@
// apizero 代理路由 (前端不直接调 apizero, 一律走后端, key 不外泄)
//
// GET /api/apizero/oil/forecast - 油价 + 预测 (实时)
// GET /api/apizero/oil/price-all - 32 省油价
// GET /api/apizero/oil/price?province= - 单省油价
// GET /api/apizero/oil/schedule?year= - 某年调价日历 (按年缓存)
//
// 错误: apizero 错误统一包成 502 (上游错误) 或 400 (参数错误)
import { Router } from 'express'
import { authRequired } from '../middleware.js'
import { ApizeroError, oil, history } from '../apizero/index.js'
const router = Router()
router.use(authRequired)
function handleApizeroError(e, res, next) {
if (e instanceof ApizeroError) {
// 参数错 -> 400, 上游错 -> 502, QPS 限流 / 额度用完 -> 503
if (e.httpStatus === 400) return res.status(400).json({ error: e.message, apizero_code: e.code })
if (e.code === 4029 || e.code === 4030) return res.status(503).json({ error: e.message, apizero_code: e.code })
return res.status(502).json({ error: e.message, apizero_code: e.code })
}
next(e)
}
// 实时: 油价 + 国际原油 + 下次调价预测
router.get('/apizero/oil/forecast', async (req, res, next) => {
try { res.json(await oil.getForecast()) }
catch (e) { handleApizeroError(e, res, next) }
})
// 32 省油价
router.get('/apizero/oil/price-all', async (req, res, next) => {
try { res.json(await oil.getPriceAll()) }
catch (e) { handleApizeroError(e, res, next) }
})
// 单省油价
router.get('/apizero/oil/price', async (req, res, next) => {
try { res.json(await oil.getPrice(req.query.province)) }
catch (e) { handleApizeroError(e, res, next) }
})
// 调价日历 (按年缓存)
router.get('/apizero/oil/schedule', async (req, res, next) => {
try { res.json(await oil.getSchedule(req.query.year)) }
catch (e) { handleApizeroError(e, res, next) }
})
export default router
// 浙江省油价历史 (DB)
// GET /api/apizero/oil/history?fuel=92&days=180
// - fuel: 92 / 95 / 0 (留空 = 3 个油品都返回)
// - days: 默认 180 (半年)
router.get('/apizero/oil/history', async (req, res, next) => {
try {
const fuel = req.query.fuel ? String(req.query.fuel) : undefined
const days = Math.max(1, Math.min(Number(req.query.days) || 180, 730))
const items = await history.query({ fuel, days })
res.json({ items, fuel: fuel || 'all', days })
} catch (e) { next(e) }
})
+1 -30
View File
@@ -6,36 +6,7 @@ const router = Router()
router.use(authRequired)
// 指标列表: 元数据 + 明细点, 过滤 hidden (数据与脚本保留, 仅不展示)
router.get('/indicators', async (_req, res, next) => {
try {
const rows = await prisma.indicator.findMany({
where: { hidden: false },
include: { points: { orderBy: { period: 'asc' } } },
orderBy: [{ groupName: 'asc' }, { name: 'asc' }],
})
// 组装前端友好结构: points 保持从老到新
const indicators = rows.map((r) => ({
id: r.id,
name: r.name,
groupName: r.groupName,
title: r.title,
unit: r.unit,
source: r.source,
frequency: r.frequency,
points: r.points.map((p) => ({ period: p.period, value: p.value })),
}))
res.json({ indicators })
} catch (e) { next(e) }
})
router.get('/strategies', async (_req, res, next) => {
try {
const rows = await prisma.strategy.findMany({ orderBy: { name: 'asc' } })
res.json({ strategies: rows })
} catch (e) { next(e) }
})
// 能繁母猪存栏 (独立抓取域, 不属于宏观「经济数据」外接模块)
router.get('/sow', async (_req, res, next) => {
try {
const rows = await prisma.econ_SowInventory.findMany({ orderBy: { month: 'asc' } })
+1 -1
View File
@@ -32,7 +32,7 @@
}
],
"security": {
"csp": "default-src 'self' ipc: http://ipc.localhost; img-src 'self' data: blob: asset: http://asset.localhost; connect-src 'self' ipc: http://ipc.localhost https://iboard.honor3.com http://bh.vps.honor3.com:3001 https://bh.vps.honor3.com:3001; style-src 'self' 'unsafe-inline'; script-src 'self'"
"csp": "default-src 'self' ipc: http://ipc.localhost; img-src 'self' data: blob: asset: http://asset.localhost https://*.honor3.com http://*.honor3.com; connect-src 'self' ipc: http://ipc.localhost https://iboard.honor3.com http://bh.vps.honor3.com:3001 https://bh.vps.honor3.com:3001 https://ifinance.honor3.com http://ifinance.honor3.com https://*.honor3.com https://*.honor3.com:* http://*.honor3.com http://*.honor3.com:*; frame-src 'self' https://ifinance.honor3.com http://ifinance.honor3.com https://*.honor3.com https://*.honor3.com:* http://*.honor3.com http://*.honor3.com:*; style-src 'self' 'unsafe-inline'; script-src 'self'"
}
},
"bundle": {
+1 -1
View File
@@ -43,7 +43,7 @@ export default function App() {
<Route path="/task" element={<TaskPage />} />
<Route path="/task/list" element={<TaskPage />} />
<Route path="/task/:pid" element={<TaskPage />} />
{/* 宏观: 报警 / 新闻 / 油价 / 经济数据 / 策略研究 / 经济文章 (V0.2 原首页并入, 默认新闻) */}
{/* 宏观: 新闻 / 经济文章 + 外接 ifinance 分类 (动态 tab); 报警已迁至监控 (V0.2.2) */}
<Route path="/macro" element={<Navigate to="/macro/news" replace />} />
<Route path="/macro/*" element={<MacroPage />} />
<Route path="/monitor" element={<MonitorPage />} />
-32
View File
@@ -1,32 +0,0 @@
// 前端油价 API: 一律走后端 /api/apizero/oil/*, 不直接调 apizero (key 不外泄)
import { api, getApiBase } from './client.js'
// 实时: 油价 + 国际原油 + 下次调价预测
export async function getOilForecast() {
return api('/apizero/oil/forecast')
}
// 32 省油价 (可暂未在 UI 用, 留作 API 暴露)
export async function getOilPriceAll() {
return api('/apizero/oil/price-all')
}
// 单省油价
export async function getOilPrice(province) {
return api('/apizero/oil/price?province=' + encodeURIComponent(province))
}
// 某年调价日历 (后端按年缓存, 同年份不会重复调 apizero)
export async function getOilSchedule(year) {
return api('/apizero/oil/schedule?year=' + encodeURIComponent(year))
}
// 浙江省油价历史 (走 DB, 由 cron 每天 04:00 抓取并落库)
// fuel: '92' | '95' | '0' | undefined (留空 = 3 个油品)
// days: 默认 180 (半年)
export async function getOilHistory({ fuel, days = 180 } = {}) {
const qs = new URLSearchParams()
if (fuel) qs.set('fuel', fuel)
qs.set('days', String(days))
return api('/apizero/oil/history?' + qs.toString())
}
-54
View File
@@ -1,54 +0,0 @@
// 趋势徽标: 上升 / 下降 / 持平 / 震荡
// props:
// trend: 'up' | 'down' | 'flat' | 'volatile'
// showText: 是否显示文字 (默认 true)
const META = {
up: { icon: '\u2191', text: '上升' },
down: { icon: '\u2193', text: '下降' },
flat: { icon: '=', text: '持平' },
volatile: { icon: '\u223F', text: '震荡' },
}
// 根据最近 N 个数据点计算趋势:
// - 数据不足 2 个 → flat
// - 取最近 6 个点的变化, 整体涨幅 < 1% → flat
// - 单调递增 → up, 单调递减 → down
// - 其余 (有升有降) → volatile
// 返回: { trend, change } (change 为百分比变化, 保留 1 位小数)
export function calcTrend(rows) {
if (!rows || rows.length < 2) return { trend: 'flat', change: 0 }
const N = Math.min(6, rows.length)
const recent = rows.slice(-N).map((r) => r.value).filter((v) => typeof v === 'number')
if (recent.length < 2) return { trend: 'flat', change: 0 }
const first = recent[0]
const last = recent[recent.length - 1]
const change = first === 0 ? 0 : ((last - first) / Math.abs(first)) * 100
if (Math.abs(change) < 1) return { trend: 'flat', change }
let up = 0, down = 0
for (let i = 1; i < recent.length; i++) {
if (recent[i] > recent[i - 1]) up++
else if (recent[i] < recent[i - 1]) down++
}
if (up === recent.length - 1) return { trend: 'up', change }
if (down === recent.length - 1) return { trend: 'down', change }
return { trend: 'volatile', change }
}
// 取数据序列最后一个有效点: { month, value } 或 null
export function lastPoint(data) {
const rows = (data && data.rows) || []
for (let i = rows.length - 1; i >= 0; i--) {
if (rows[i] && typeof rows[i].value === 'number') return rows[i]
}
return null
}
export default function TrendBadge({ trend, showText = true }) {
const m = META[trend] || META.flat
return (
<span className={'trend-badge trend-' + (trend || 'flat')}>
<span className="trend-icon">{m.icon}</span>
{showText && <span>{m.text}</span>}
</span>
)
}
+116
View File
@@ -0,0 +1,116 @@
// ifinance 外接模块 (宿主侧)
// ------------------------------------------------------------
// ifinance 是静态托管模块包, 唯一索引是 info.json。宿主约定:
// - 根地址固定为 https://ifinance.honor3.com (宿主常量, 不写进 info.json)
// - 没有统一入口页, 每个 html 都是独立入口 (在 WebView/iframe 中打开)
// - categories[] 对应 App 的 tab, items[] 是条目; 未知字段忽略
//
// 本模块采用「纯前端直连」方式: 直接 fetch 远端 info.json, 条目 HTML 直接
// 用 iframe 加载远端地址, 不做端上文件缓存 (始终最新)。
// 开发环境 (vite dev) 走 /ifinance-api 代理以规避跨域; 生产环境直连。
// 若远端 info.json 拉取失败, 依次回退: 同源内置快照 (public/ifinance-info.json)
// → localStorage 上次成功快照, 保证分类 tab 仍可渲染。
import { useEffect, useState } from 'react'
// 根地址: 生产直连; 开发用 vite 代理前缀 (见 vite.config.js)
export const FINANCE_BASE = import.meta.env.DEV
? '/ifinance-api'
: 'https://ifinance.honor3.com'
// 同源兜底快照 (构建时由 ifinance/info.json 拷贝到 public/, 仅在远端不可用时使用)
const FALLBACK_INFO_URL = '/ifinance-info.json'
const INFO_CACHE_KEY = 'ifinance_info_v1'
// 模块级缓存: 一次会话内多处 (宏观页 / 详情页) 共享, 避免重复请求
let memoInfo = null
let inflight = null
// 拼接 info.json 中给出的相对路径 (如 public/econ/x.html) 为可加载的绝对 URL
export function financeUrl(relPath) {
const p = String(relPath || '').replace(/^\/+/, '')
return FINANCE_BASE + '/' + p
}
// 条目 HTML 地址: Cloudflare Pages 走 clean URL, 去掉 .html 后缀直达 (避免 307 重定向)
export function financePageUrl(relPath) {
return financeUrl(String(relPath || '').replace(/\.html?$/i, ''))
}
function readLocalInfo() {
try {
const raw = localStorage.getItem(INFO_CACHE_KEY)
if (!raw) return null
const parsed = JSON.parse(raw)
if (parsed && parsed.info && Array.isArray(parsed.info.categories)) return parsed.info
} catch { /* ignore */ }
return null
}
function writeLocalInfo(info) {
try {
localStorage.setItem(INFO_CACHE_KEY, JSON.stringify({ ts: Date.now(), info }))
} catch { /* 配额满等忽略 */ }
}
async function fetchInfoFrom(url) {
const res = await fetch(url, { cache: 'no-cache' })
if (!res.ok) throw new Error('ifinance 索引加载失败 (' + res.status + ')')
const info = await res.json()
if (!info || !Array.isArray(info.categories)) throw new Error('ifinance 索引格式无效')
return info
}
// 拉取 (并缓存) info.json: 远端优先, 失败回退同源内置快照
export async function fetchIfinanceInfo() {
if (inflight) return inflight
inflight = (async () => {
let info
try {
info = await fetchInfoFrom(financeUrl('info.json'))
} catch (remoteErr) {
// 兜底: 同源内置快照 (ifinance 未开 CORS / 临时不可达时仍可渲染分类)
try {
info = await fetchInfoFrom(FALLBACK_INFO_URL)
} catch {
throw remoteErr
}
}
memoInfo = info
writeLocalInfo(info)
return info
})()
try {
return await inflight
} finally {
inflight = null
}
}
// React Hook: 获取分类索引。优先内存 → localStorage 快照 → 远端
export function useIfinanceInfo() {
const [state, setState] = useState(() => {
if (memoInfo) return { info: memoInfo, loading: false, error: '' }
const cached = readLocalInfo()
return { info: cached, loading: true, error: '' }
})
useEffect(() => {
let alive = true
setState((s) => ({ ...s, loading: true }))
fetchIfinanceInfo()
.then((info) => { if (alive) setState({ info, loading: false, error: '' }) })
.catch((e) => {
if (!alive) return
const cached = readLocalInfo()
setState({
info: cached,
loading: false,
error: cached ? '' : (e?.message || '外接模块加载失败'),
})
})
return () => { alive = false }
}, [])
return state
}
+44 -52
View File
@@ -1,43 +1,31 @@
import { useState } from 'react'
import { useNavigate, useLocation, Routes, Route } from 'react-router-dom'
import { Badge } from 'antd-mobile'
import PageHeader from '../components/PageHeader.jsx'
import SwipeTabs from '../components/SwipeTabs.jsx'
import DataView from './macro/DataView.jsx'
import StrategyView from './macro/StrategyView.jsx'
import ArticlesView from './macro/ArticlesView.jsx'
import ArticleDetail from './macro/ArticleDetail.jsx'
import OilPage from './macro/OilPage.jsx'
import AlertsView from './macro/AlertsView.jsx'
import NewsView from './macro/NewsView.jsx'
import NewsDetail from './news/NewsDetail.jsx'
import FinanceCategoryView from './macro/FinanceCategoryView.jsx'
import FinanceItemView from './macro/FinanceItemView.jsx'
import { useIfinanceInfo } from '../lib/ifinance.js'
// 宏观: 顶栏 6 tab, 默认 新闻
// /macro → 显示 news tab (activeFromPath 决定)
// /macro/alerts → 报警 (V0.2: 原「首页」tab 合并进来, 置最左)
// /macro/news → 新闻 (V0.2: 原「首页」tab 合并进来, 置第二并作为默认)
// /macro/oil → 油价
// /macro/data → 经济数据
// /macro/strategy → 策略研究
// 宏观: 本地固定 2 个 tab (新闻 / 经济文章) + 外接 ifinance 分类动态挂载为 tab
// /macro/news → 新闻 (默认)
// /macro/articles → 经济文章
// 详情: /macro/data/:name · /macro/strategy/:name · /macro/articles/:slug · /macro/news/:id
// 说明: tab 数量已超出屏宽, SwipeTabs 会在右侧显示渐变 + 箭头提示可继续滑动
const TABS = [
{ key: 'alerts', label: '报警', path: '/macro/alerts' },
// /macro/finance/:catId → 外接分类 (经济数据 / 策略研究 / …)
// 详情: /macro/news/:id · /macro/articles/:slug · /macro/finance/:catId/:itemId
// 说明: 外接分类不写死, 由 info.json 的 categories[] 决定; ifinance 新增分类后
// 本页自动多出新 tab, 宿主无需改代码。报警已迁到「监控」。
const BASE_TABS = [
{ key: 'news', label: '新闻', path: '/macro/news' },
{ key: 'oil', label: '油价', path: '/macro/oil' },
{ key: 'data', label: '经济数据', path: '/macro/data' },
{ key: 'strategy', label: '策略研究', path: '/macro/strategy' },
{ key: 'articles', label: '经济文章', path: '/macro/articles' },
]
function activeFromPath(pathname) {
if (pathname.startsWith('/macro/alerts')) return 'alerts'
if (pathname.startsWith('/macro/news')) return 'news'
if (pathname.startsWith('/macro/oil')) return 'oil'
if (pathname.startsWith('/macro/data')) return 'data'
if (pathname.startsWith('/macro/strategy')) return 'strategy'
if (pathname.startsWith('/macro/articles')) return 'articles'
const m = pathname.match(/^\/macro\/finance\/([^/]+)/)
if (m) return 'finance:' + m[1]
// 父路由 /macro 走默认 tab (新闻)
return 'news'
}
@@ -45,43 +33,47 @@ function activeFromPath(pathname) {
export default function MacroPage() {
const location = useLocation()
const navigate = useNavigate()
const { info } = useIfinanceInfo()
const active = activeFromPath(location.pathname)
// 报警角标: 由 AlertsView 回传总数
const [alertCount, setAlertCount] = useState(0)
const categories = info?.categories || []
const tabs = TABS.map((t) => ({
key: t.key,
label: t.key === 'alerts'
? <span className="tab-label">报警{alertCount > 0 && <Badge content={alertCount} />}</span>
: t.label,
render: () => {
if (t.key === 'oil') return <OilPage />
if (t.key === 'data') return <DataView />
if (t.key === 'strategy') return <StrategyView />
if (t.key === 'articles') return <ArticlesView />
if (t.key === 'alerts') return <AlertsView onCount={setAlertCount} />
if (t.key === 'news') return <NewsView />
return null
},
}))
function onChange(key) {
const next = TABS.find((t) => t.key === key)
if (next) navigate(next.path)
}
// 详情页单独走 React Router 渲染, 不参与滑屏
if (location.pathname.match(/^\/macro\/(articles|data|strategy|news)\/[^/]+$/)) {
// 详情页单独走 React Router 渲染 (需要 Route 提供 params), 不参与滑屏
const p = location.pathname
const isNewsDetail = /^\/macro\/news\/[^/]+$/.test(p)
const isArticleDetail = /^\/macro\/articles\/[^/]+$/.test(p)
const isFinanceDetail = /^\/macro\/finance\/[^/]+\/[^/]+$/.test(p)
if (isNewsDetail || isArticleDetail || isFinanceDetail) {
return (
<Routes>
<Route path="data/:name" element={<DataView />} />
<Route path="strategy/:name" element={<StrategyView />} />
<Route path="articles/:slug" element={<ArticleDetail />} />
<Route path="news/:id" element={<NewsDetail />} />
<Route path="articles/:slug" element={<ArticleDetail />} />
<Route path="finance/:catId/:itemId" element={<FinanceItemView />} />
</Routes>
)
}
const tabs = [
...BASE_TABS.map((t) => ({
key: t.key,
label: t.label,
render: () => (t.key === 'news' ? <NewsView /> : <ArticlesView />),
})),
...categories.map((c) => ({
key: 'finance:' + c.id,
label: c.name,
render: () => <FinanceCategoryView category={c} />,
})),
]
function onChange(key) {
if (key.startsWith('finance:')) {
navigate('/macro/finance/' + key.slice('finance:'.length))
return
}
const next = BASE_TABS.find((t) => t.key === key)
if (next) navigate(next.path)
}
return (
<div className="page-with-navbar">
<PageHeader title="宏观" />
+16 -2
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@@ -1,15 +1,18 @@
import { useEffect, useState, useCallback } from 'react'
import { useNavigate } from 'react-router-dom'
import { Card, Empty, DotLoading } from 'antd-mobile'
import { Badge, Card, Empty, DotLoading } from 'antd-mobile'
import { api } from '../api/client.js'
import PageHeader from '../components/PageHeader.jsx'
import SwipeTabs from '../components/SwipeTabs.jsx'
import useRefreshOnVisible from '../hooks/useRefreshOnVisible.js'
import EnvView from './monitor/EnvView.jsx'
import AlertsView from './monitor/AlertsView.jsx'
// 监控页: 两个横向分类
// 监控页: 四个横向分类
// - 主机监控: 实时数据来自 komari (服务端实时代理, 不落库), 点击节点看 24h 时序
// - 服务监控: 暂留空占位
// - 环境监控: 米家温湿度
// - 报警: V0.2.2 从「宏观」迁入, 数据差异/任务异常按时间倒序
function fmtTime(s) {
if (!s) return ''
const d = new Date(s)
@@ -40,10 +43,21 @@ function pct(used, total) {
export default function MonitorPage() {
const [active, setActive] = useState('servers')
// 报警角标: 由 AlertsView 回传总数
const [alertCount, setAlertCount] = useState(0)
const tabs = [
{ key: 'servers', label: '主机监控', render: () => <ServerView /> },
{ key: 'services', label: '服务监控', render: () => <ServiceView /> },
{ key: 'env', label: '环境监控', render: () => <EnvView /> },
{
key: 'alerts',
label: (
<span className="tab-label">
报警{alertCount > 0 && <Badge content={alertCount} />}
</span>
),
render: () => <AlertsView onCount={setAlertCount} />,
},
]
return (
<div className="page-with-navbar">
-133
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@@ -1,133 +0,0 @@
import { useEffect, useState, useCallback } from 'react'
import { useParams, useNavigate } from 'react-router-dom'
import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, Legend, ResponsiveContainer } from 'recharts'
import { Card, List, NavBar } from 'antd-mobile'
import { api } from '../../api/client.js'
import TrendBadge, { calcTrend, lastPoint } from '../../components/TrendBadge.jsx'
import useRefreshOnVisible from '../../hooks/useRefreshOnVisible.js'
// 经济数据
// 列表态 (默认): 列出所有指标, 每行显示最新值 + 趋势徽标, 点击进入详情
// 详情态: 顶部 NavBar (返回) + 折线图 + 数据表
// 频率中文标签 (对应 Indicator.frequency)
const FREQ_LABEL = { year: '年', quarter: '季', month: '月', day: '日' }
// 统一数据行的时间字段: 兼容 {month}/{year}/{period} 三种存储形状
function periodOf(r) {
return (r && (r.period || r.month || r.year)) || ''
}
export default function DataView() {
const [indicators, setIndicators] = useState([])
const [err, setErr] = useState('')
const [loading, setLoading] = useState(true)
// 路由驱动: /macro/data 列表, /macro/data/:name 详情, 浏览器/手机返回键天然可用
const { name } = useParams()
const navigate = useNavigate()
const load = useCallback(() => {
setLoading(true)
api('/indicators')
.then((data) => { setErr(''); setIndicators(data.indicators || []) })
.catch((e) => setErr(e.message))
.finally(() => setLoading(false))
}, [])
useEffect(() => { load() }, [load])
// 后台回前台时重新拉取
useRefreshOnVisible(load)
if (loading) return <div className="loading">加载中...</div>
if (err) return <div className="error-banner">{err}</div>
if (!indicators.length) return <div className="empty">暂无指标数据, 请先执行 npm run db:seed</div>
// 详情态 (路径 /macro/data/:name)
if (name) {
const cur = indicators.find((i) => i.name === name)
if (cur) return <DataDetail indicator={cur} onBack={() => navigate('/macro/data')} />
}
// 列表态
const labelOf = (i) => i.title || i.name
return (
<div className="list-page">
<div className="page-title">经济数据</div>
<List>
{indicators.map((i) => {
const lp = lastPoint({ rows: i.points || [] })
const { trend, change } = calcTrend(i.points || [])
const unit = i.unit || ''
return (
<List.Item
key={i.name}
title={labelOf(i)}
description={lp ? <><b>{lp.value}{unit}</b> · {periodOf(lp)}</> : '暂无数据'}
extra={<TrendBadge trend={trend} />}
arrowIcon
clickable
onClick={() => navigate('/macro/data/' + i.name)}
/>
)
})}
</List>
</div>
)
}
// 详情: 折线图 + 数据表
function DataDetail({ indicator, onBack }) {
const i = indicator
const rows = (i.points || [])
// 图表 X 轴统一用 period 字段
const chartRows = rows.map((r) => ({ ...r, period: periodOf(r) }))
// 表格按时间反序: 最新在前
const tableRows = [...rows].reverse()
const [showAll, setShowAll] = useState(false)
const visibleRows = showAll ? tableRows : tableRows.slice(0, 10)
const lp = lastPoint({ rows })
const { trend } = calcTrend(rows)
const title = i.title || i.name
return (
<div className="detail-page">
<NavBar onBack={onBack}>{title}</NavBar>
<Card className="detail-card">
<div className="detail-meta">
单位 {i.unit || '-'} · 频率 {FREQ_LABEL[i.frequency] || i.frequency || '-'} · 来源 {i.source || 'seed'} ·
{lp && <> 最新 <b style={{ color: 'var(--color-text)' }}>{lp.value}{i.unit || ''}</b> ({periodOf(lp)}) </>}
<TrendBadge trend={trend} />
</div>
<div className="chart-wrap">
<ResponsiveContainer width="100%" height={260}>
<LineChart data={chartRows} margin={{ top: 10, right: 16, left: 0, bottom: 0 }}>
<CartesianGrid strokeDasharray="3 3" />
<XAxis dataKey="period" tick={{ fontSize: 11 }} />
<YAxis tick={{ fontSize: 11 }} />
<Tooltip />
<Legend />
<Line type="monotone" dataKey="value" name={i.unit || '值'} stroke="#1677ff" strokeWidth={2} dot={{ r: 3 }} />
</LineChart>
</ResponsiveContainer>
</div>
<div className={'data-table-wrap' + (showAll ? ' scroll' : '')}>
<table className="data-table">
<thead>
<tr><th>月份</th><th style={{ textAlign: 'right' }}>数值</th></tr>
</thead>
<tbody>
{visibleRows.map((r) => (
<tr key={periodOf(r)}><td>{periodOf(r)}</td><td style={{ textAlign: 'right' }}>{r.value}</td></tr>
))}
</tbody>
</table>
{tableRows.length > 10 && !showAll && (
<div className="table-more" onClick={() => setShowAll(true)}>
展开全部(共 {tableRows.length} 行)
</div>
)}
</div>
</Card>
</div>
)
}
+39
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@@ -0,0 +1,39 @@
import { useNavigate } from 'react-router-dom'
import { List, DotLoading } from 'antd-mobile'
import { useIfinanceInfo } from '../../lib/ifinance.js'
// 外接模块分类列表 (ifinance categories[].items[])
// - 数据来源: info.json (运行时动态拉取), 当前分类由 MacroPage 传入
// - 点击条目 → /macro/finance/:catId/:itemId 打开该条目独立 HTML
const KIND_LABEL = { indicator: '指标', strategy: '策略', dashboard: '看板' }
export default function FinanceCategoryView({ category }) {
const navigate = useNavigate()
const { info, loading, error } = useIfinanceInfo()
// MacroPage 拿到的 category 可能来自缓存; 若为空则用 hook 里的最新数据兜底
const cat = category || (info?.categories || []).find((c) => c.id === category?.id)
const items = cat?.items || []
if (!cat && loading) return <div className="loading"><DotLoading /> 加载中...</div>
if (!cat && error) return <div className="error-banner">{error}</div>
if (!items.length) return <div className="empty">暂无内容</div>
return (
<div className="list-page">
<List>
{items.map((it) => (
<List.Item
key={it.id}
title={it.title || it.id}
description={it.subtitle || ''}
extra={<span className="finance-kind">{KIND_LABEL[it.kind] || it.kind || ''}</span>}
arrowIcon
clickable
onClick={() => navigate('/macro/finance/' + cat.id + '/' + it.id)}
/>
))}
</List>
</div>
)
}
+33
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@@ -0,0 +1,33 @@
import { useNavigate, useParams } from 'react-router-dom'
import { NavBar, DotLoading } from 'antd-mobile'
import { useIfinanceInfo, financePageUrl } from '../../lib/ifinance.js'
// 外接条目详情: 用 iframe 加载 ifinance 生成的独立 HTML。
// - 页面本身无导航/头部 (符合 ifinance 规范), 由宿主提供 NavBar 返回
// - 直接指向远端地址 (纯前端直连, 不做端上缓存)
export default function FinanceItemView() {
const { catId, itemId } = useParams()
const navigate = useNavigate()
const { info, loading, error } = useIfinanceInfo()
const cat = (info?.categories || []).find((c) => c.id === catId)
const item = (cat?.items || []).find((i) => i.id === itemId)
const title = item?.title || '详情'
return (
<div className="finance-item-page">
<NavBar onBack={() => navigate('/macro/finance/' + catId)}>{title}</NavBar>
{loading && !item && <div className="loading"><DotLoading /> 加载中...</div>}
{!loading && error && <div className="error-banner">{error}</div>}
{!loading && !error && !item && <div className="empty">内容不存在</div>}
{item?.html && (
<iframe
className="finance-frame"
title={title}
src={financePageUrl(item.html)}
loading="lazy"
/>
)}
</div>
)
}
-250
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@@ -1,250 +0,0 @@
import { useEffect, useMemo, useState } from 'react'
import { Card, DotLoading, Empty, ErrorBlock } from 'antd-mobile'
import {
CartesianGrid,
Legend,
Line,
LineChart,
ResponsiveContainer,
Tooltip,
XAxis,
YAxis,
} from 'recharts'
import { getOilForecast, getOilHistory, getOilSchedule } from '../../api/oil.js'
// 油价页 (新):
// - 上: 下次调价预测 (无 WTI / 无柱状图)
// - 中: 浙江省最近半年价格走势 (3 油品折线, 一张图)
// - 下: 调价日历 (按年切换)
// 数据源:
// - 预测/日历: apizero 实时 (后端代理)
// - 走势: DB oil_price_history 表 (cron 每天 04:00 抓浙江 3 油品入库)
const FUEL_LABELS = {
'92': '92# 汽油',
'95': '95# 汽油',
'0': '0# 柴油',
}
// 3 油品各自配色 (与原柱状图色调保持一致)
const FUEL_COLORS = {
'92': '#1677ff',
'95': '#52c41a',
'0': '#888',
}
function n(v, d = 2) { return Number.isFinite(Number(v)) ? Number(v).toFixed(d) : '-' }
// 调价预测 (保留, 但不显示 WTI / 布伦特)
function ForecastPanel() {
const [forecast, setForecast] = useState(null)
const [loading, setLoading] = useState(true)
const [err, setErr] = useState('')
useEffect(() => {
let cancelled = false
setLoading(true)
setErr('')
getOilForecast()
.then((d) => { if (!cancelled) setForecast(d) })
.catch((e) => !cancelled && setErr(e.message || '加载失败'))
.finally(() => !cancelled && setLoading(false))
return () => { cancelled = true }
}, [])
if (loading) return <div className="monitor-loading"><DotLoading /> 加载中...</div>
if (err) return <ErrorBlock status="default" title="加载失败" description={err} />
const p = forecast?.prediction
return (
<Card className="oil-card">
<div className="oil-card-title">下次调价预测</div>
<div className="oil-prediction">
<div className="oil-pred-row">
<span className="oil-pred-label">调价日</span>
<span className="oil-pred-value">{forecast?.next_adjust_date || '-'}</span>
<span className="oil-pred-tag">剩 {forecast?.days_remaining ?? '-'} 天</span>
</div>
<div className="oil-pred-row">
<span className="oil-pred-label">方向</span>
<span className={'oil-pred-direction ' + (p?.direction || '')}>
{p?.direction_emoji || ''} {p?.direction || '-'}
</span>
<span className="oil-pred-tag">置信度 {p?.confidence || '-'}</span>
</div>
<div className="oil-pred-row">
<span className="oil-pred-label">预计幅度</span>
<span className="oil-pred-value">
{p?.estimated_change_per_ton != null
? `${p.estimated_change_per_ton > 0 ? '+' : ''}${p.estimated_change_per_ton} 元/吨`
: '-'}
{p?.estimated_change_per_liter != null && (
<span className="oil-pred-sub"> ({p.estimated_change_per_liter > 0 ? '+' : ''}{p.estimated_change_per_liter} 元/升)</span>
)}
</span>
</div>
{p?.analysis && (
<div className="oil-pred-analysis">{p.analysis}</div>
)}
</div>
</Card>
)
}
// 浙江省最近半年价格走势
function HistoryPanel() {
const [data, setData] = useState([])
const [loading, setLoading] = useState(true)
const [err, setErr] = useState('')
useEffect(() => {
let cancelled = false
setLoading(true)
setErr('')
getOilHistory({ days: 180 })
.then((d) => { if (!cancelled) setData(d.items || []) })
.catch((e) => !cancelled && setErr(e.message || '加载失败'))
.finally(() => !cancelled && setLoading(false))
return () => { cancelled = true }
}, [])
// 整形: rows = [{date, fuel, price}] -> 3 油品并排
// pivot: [{date, 92, 95, 0}]
const chartData = useMemo(() => {
const m = new Map()
for (const r of data) {
if (!m.has(r.date)) m.set(r.date, { date: r.date })
m.get(r.date)[r.fuel] = r.price
}
return Array.from(m.values()).sort((a, b) => a.date.localeCompare(b.date))
}, [data])
// 3 油品都有数据?
const hasData = chartData.length > 0
return (
<Card className="oil-card">
<div className="oil-card-title">浙江省最近半年价格走势</div>
{loading && <div className="monitor-loading"><DotLoading /> 加载中...</div>}
{err && <ErrorBlock status="default" title="加载失败" description={err} />}
{!loading && !err && !hasData && (
<Empty description="暂无历史数据 (每天 04:00 自动抓取, 调价次日入库)" />
)}
{!loading && !err && hasData && (
<>
<div className="oil-chart">
<ResponsiveContainer width="100%" height={260}>
<LineChart data={chartData} margin={{ top: 10, right: 10, left: -10, bottom: 0 }}>
<CartesianGrid strokeDasharray="3 3" stroke="#eee" />
<XAxis dataKey="date" tick={{ fontSize: 10 }} />
<YAxis tick={{ fontSize: 10 }} domain={['dataMin - 0.1', 'dataMax + 0.1']} unit="" />
<Tooltip formatter={(v) => `${Number(v).toFixed(3)} 元/升`} />
<Legend wrapperStyle={{ fontSize: 11 }} />
{Object.keys(FUEL_LABELS).map((k) => (
<Line
key={k}
type="monotone"
dataKey={k}
name={FUEL_LABELS[k]}
stroke={FUEL_COLORS[k]}
strokeWidth={2}
dot={{ r: 3 }}
connectNulls
/>
))}
</LineChart>
</ResponsiveContainer>
</div>
<div className="oil-chart-tip">共 {chartData.length} 个数据点 (调价次日入库)</div>
</>
)}
</Card>
)
}
// 调价日历 (不变)
function SchedulePanel() {
const [year, setYear] = useState(new Date().getFullYear())
const [data, setData] = useState(null)
const [loading, setLoading] = useState(true)
const [err, setErr] = useState('')
useEffect(() => {
let cancelled = false
setLoading(true)
setErr('')
getOilSchedule(year)
.then((d) => { if (!cancelled) setData(d) })
.catch((e) => !cancelled && setErr(e.message || '加载失败'))
.finally(() => !cancelled && setLoading(false))
return () => { cancelled = true }
}, [year])
const byMonth = useMemo(() => {
const m = {}
if (!data?.schedule) return m
for (const it of data.schedule) {
const mm = it.date.slice(0, 7)
if (!m[mm]) m[mm] = []
m[mm].push(it)
}
return m
}, [data])
return (
<Card className="oil-card">
<div className="oil-card-title-row">
<div className="oil-card-title">调价日历</div>
<div className="oil-year-tabs">
{[2025, 2026].map((y) => (
<button
key={y}
className={'oil-year-tab ' + (y === year ? 'active' : '')}
onClick={() => setYear(y)}
>
{y}
</button>
))}
</div>
</div>
{data?._cached && <div className="oil-cache-hint">本次来自本地缓存, 不消耗 apizero 配额</div>}
{loading && <div className="monitor-loading"><DotLoading /> 加载中...</div>}
{err && <ErrorBlock status="default" title="加载失败" description={err} />}
{!loading && !err && data && (
<>
<div className="oil-schedule-meta">
{data.year} 年共 <b>{data.total_adjustments}</b> 个调价窗口
{data.next_adjust_date && (
<span className="oil-pred-tag">下一个: {data.next_adjust_date} (剩 {data.days_remaining} 天)</span>
)}
</div>
<div className="oil-schedule-list">
{Object.keys(byMonth).sort().map((m) => (
<div key={m} className="oil-month">
<div className="oil-month-label">{m}</div>
<div className="oil-month-items">
{byMonth[m].map((it) => (
<div key={it.date} className={'oil-day ' + (it.status === '已过' ? 'past' : 'future')}>
<div className="oil-day-date">{it.date.slice(8)}</div>
<div className="oil-day-status">{it.status}</div>
</div>
))}
</div>
</div>
))}
</div>
</>
)}
</Card>
)
}
// 油价页入口: 预测 + 走势 + 日历
export default function OilPage() {
return (
<div className="oil-page">
<ForecastPanel />
<HistoryPanel />
<SchedulePanel />
</div>
)
}
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@@ -1,141 +0,0 @@
import { useEffect, useState } from 'react'
import { useParams, useNavigate } from 'react-router-dom'
import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, Legend, ResponsiveContainer } from 'recharts'
import { Card, List, NavBar } from 'antd-mobile'
import { api } from '../../api/client.js'
import TrendBadge, { calcTrend } from '../../components/TrendBadge.jsx'
// 策略研究
// 列表态 (默认): 列出所有策略, 每行显示主指标 (债务/GDP) 最新值 + 趋势
// 详情态: 顶部 NavBar (返回) + 4 张图 (debt/gdp/debtToGdp/interestToGdp) + 表格
const SERIES = [
{ key: 'debt', label: '政府债务 (万亿美元)', color: '#8884d8' },
{ key: 'gdp', label: 'GDP (万亿美元)', color: '#3cb44b' },
{ key: 'debtToGdp', label: '债务/GDP (%)', color: '#4363d8' },
{ key: 'interestToGdp', label: '债务利息/GDP (%)', color: '#f58231' },
]
// 取最后一个有效数据点
function lastRow(rows) {
for (let i = rows.length - 1; i >= 0; i--) {
if (rows[i] && typeof rows[i].debtToGdp === 'number') return rows[i]
}
return null
}
export default function StrategyView() {
const [strategies, setStrategies] = useState([])
const [err, setErr] = useState('')
const [loading, setLoading] = useState(true)
// 路由驱动: /macro/strategy 列表, /macro/strategy/:name 详情, 浏览器/手机返回键天然可用
const { name } = useParams()
const navigate = useNavigate()
useEffect(() => {
let cancelled = false
setLoading(true)
api('/strategies')
.then((data) => { if (!cancelled) setStrategies(data.strategies || []) })
.catch((e) => !cancelled && setErr(e.message))
.finally(() => !cancelled && setLoading(false))
return () => { cancelled = true }
}, [])
if (loading) return <div className="loading">加载中...</div>
if (err) return <div className="error-banner">{err}</div>
if (!strategies.length) return <div className="empty">暂无策略数据</div>
// 详情态 (路径 /macro/strategy/:name)
if (name) {
const cur = strategies.find((s) => s.name === name)
if (cur) return <StrategyDetail strategy={cur} onBack={() => navigate('/macro/strategy')} />
}
// 列表态: 主指标 = 债务/GDP, 趋势基于其最近变化
return (
<div className="list-page">
<div className="page-title">策略研究</div>
<List>
{strategies.map((s) => {
const rows = (s.data && s.data.rows) || []
const last = lastRow(rows)
const { trend, change } = calcTrend(rows)
return (
<List.Item
key={s.name}
title={s.description || s.name}
description={last
? <><b>{last.debtToGdp}%</b> · 债务利息/GDP {last.interestToGdp}% · {last.year}</>
: '暂无数据'}
extra={<TrendBadge trend={trend} />}
arrowIcon
clickable
onClick={() => navigate('/macro/strategy/' + s.name)}
/>
)
})}
</List>
</div>
)
}
// 详情: 4 张图 + 表格
function StrategyDetail({ strategy, onBack }) {
const s = strategy
const rows = (s.data && s.data.rows) || []
const last = lastRow(rows)
const { trend } = calcTrend(rows)
return (
<div className="detail-page">
<NavBar onBack={onBack}>{s.description || s.name}</NavBar>
<Card className="detail-card">
<div className="detail-meta">
数据 {rows.length} 条 · 来源 {s.data.source || 'seed'} ·
{last && <> 最新 <b style={{ color: 'var(--color-text)' }}>{last.year}</b> 债务/GDP <b style={{ color: 'var(--color-text)' }}>{last.debtToGdp}%</b> </>}
<TrendBadge trend={trend} />
</div>
{SERIES.map((s2) => (
<div key={s2.key} style={{ marginBottom: 12 }}>
<div style={{ fontSize: 13, fontWeight: 500, marginBottom: 4 }}>{s2.label}</div>
<div className="chart-wrap">
<ResponsiveContainer width="100%" height={220}>
<LineChart data={rows} margin={{ top: 8, right: 12, left: 0, bottom: 0 }}>
<CartesianGrid strokeDasharray="3 3" />
<XAxis dataKey="year" tick={{ fontSize: 11 }} />
<YAxis tick={{ fontSize: 11 }} />
<Tooltip />
<Legend />
<Line type="monotone" dataKey={s2.key} name={s2.label} stroke={s2.color} strokeWidth={2} dot={{ r: 3 }} />
</LineChart>
</ResponsiveContainer>
</div>
</div>
))}
<div style={{ maxHeight: 220, overflow: 'auto', marginTop: 8 }}>
<table className="data-table">
<thead>
<tr>
<th>年份</th>
<th style={{ textAlign: 'right' }}>债务</th>
<th style={{ textAlign: 'right' }}>GDP</th>
<th style={{ textAlign: 'right' }}>债务/GDP</th>
<th style={{ textAlign: 'right' }}>利息/GDP</th>
</tr>
</thead>
<tbody>
{rows.map((r) => (
<tr key={r.year}>
<td>{r.year}</td>
<td style={{ textAlign: 'right' }}>{r.debt}</td>
<td style={{ textAlign: 'right' }}>{r.gdp}</td>
<td style={{ textAlign: 'right' }}>{r.debtToGdp}</td>
<td style={{ textAlign: 'right' }}>{r.interestToGdp}</td>
</tr>
))}
</tbody>
</table>
</div>
</Card>
</div>
)
}
@@ -4,10 +4,10 @@ import { api } from '../../api/client.js'
import useRefreshOnVisible from '../../hooks/useRefreshOnVisible.js'
import { fmtDateTime } from '../../utils/format.js'
// 报警 (V0.2 从「首页」并入「宏观」Tab)
// - 数据: World Bank 与妙想 MCP 跨源同 (指标, 周期) 数据差异超阈值, 按时间倒序
// 报警 (V0.2.2 从「宏观」迁到「监控」第 4 个 tab)
// - 数据: 跨源同 (指标, 周期) 数据差异超阈值 / cron 任务异常, 按时间倒序
// - 无限滚动: 触底自动加载下一页
// - onCount: 把总数回传给父级 (宏观 Tab 上显示角标)
// - onCount: 把总数回传给父级 (监控的报警 tab 上显示角标)
export default function AlertsView({ onCount }) {
const [items, setItems] = useState([])
const [loading, setLoading] = useState(false)
+19 -195
View File
@@ -242,7 +242,7 @@ input, textarea, select { font: inherit; }
.list-item-meta { font-size: 12px; color: var(--color-muted); margin-bottom: 4px; }
.list-item-excerpt { font-size: 13px; color: var(--color-muted); line-height: 1.5; }
/* ================== 列表视图 (DataView/StrategyView 列表态) ================== */
/* ================== 列表视图 (外接分类 FinanceCategoryView) ================== */
.list-page { padding: 0 0 16px; }
.list-page .page-title { padding: 14px 16px 4px; }
.list-page .adm-list { margin: 0 12px; background: transparent; }
@@ -256,41 +256,29 @@ input, textarea, select { font: inherit; }
.list-page .adm-list .adm-list-item:last-child { margin-bottom: 0; }
.list-page .adm-list-item-title { font-size: 15px; font-weight: 600; color: var(--color-text); }
.list-page .adm-list-item-description { color: var(--color-muted); margin-top: 4px; }
.list-page .row-meta { display: flex; align-items: center; gap: 6px; font-variant-numeric: tabular-nums; }
.list-page .row-change { font-size: 12px; color: var(--color-muted); }
/* 趋势徽标: 上升(绿) / 下降(红) / 持平(灰) / 震荡(橙) */
.trend-badge {
display: inline-flex;
align-items: center;
gap: 2px;
font-size: 12px;
font-weight: 500;
padding: 1px 6px;
/* 外接分类条目右侧类型徽标 */
.finance-kind {
font-size: 11px;
color: var(--color-muted);
background: rgba(0,0,0,.05);
border-radius: 4px;
background: rgba(0,0,0,.04);
white-space: nowrap;
padding: 1px 6px;
}
.trend-badge .trend-icon { font-weight: 700; }
.trend-up { color: #00b578; background: rgba(0,181,120,.1); }
.trend-down { color: #ff3141; background: rgba(255,49,65,.1); }
.trend-flat { color: #666; background: rgba(0,0,0,.05); }
.trend-volatile { color: #ff8f1f; background: rgba(255,143,31,.12); }
/* 详情页 (DataView/StrategyView 详情态) */
.detail-page { display: flex; flex-direction: column; min-height: 100%; }
.detail-page .adm-nav-bar { background: #fff; border-bottom: 1px solid var(--color-border); }
.detail-card.adm-card { margin: 12px; border-radius: 10px; }
.detail-card.adm-card .adm-card-body { padding: 12px; }
.detail-meta { font-size: 12px; color: var(--color-muted); margin-bottom: 8px; }
/* 外接条目详情: iframe 铺满 (NavBar 45px + 底部 TabBar 已计入) */
.finance-item-page { display: flex; flex-direction: column; height: 100%; background: #f5f5f5; }
.finance-item-page .adm-nav-bar { flex: 0 0 auto; background: #fff; border-bottom: 1px solid var(--color-border); }
.finance-frame {
width: 100%;
border: 0;
display: block;
background: #f5f5f5;
height: calc(100dvh - var(--safe-top) - var(--tabbar-h) - var(--safe-bottom) - 45px);
}
/* 图表 / 表格 */
/* 图表容器 (环境监控等仍在用) */
.chart-wrap { background: #fafafa; border-radius: 8px; padding: 8px; margin: 8px 0 16px; }
.data-table { width: 100%; border-collapse: collapse; font-size: 13px; }
.data-table th, .data-table td { padding: 8px 10px; text-align: left; border-bottom: 1px solid var(--color-border); }
.data-table th { background: #f8f8f8; font-weight: 600; }
.data-table-wrap { position: relative; }
.data-table-wrap.scroll { max-height: 300px; overflow: auto; }
.table-more { text-align: center; padding: 10px 0 2px; font-size: 13px; color: var(--color-primary); cursor: pointer; }
/* 页面标题 */
.page-title { font-size: 20px; font-weight: 700; padding: 14px 16px 4px; }
@@ -459,170 +447,6 @@ body.me-safe-top .app-safe-top { height: 0; }
}
/* ================== 油价页 (Macro/Oil) ================== */
.oil-page {
padding: 0 0 16px;
display: flex;
flex-direction: column;
gap: 12px;
}
.oil-card {
margin: 0 12px;
border-radius: 10px;
}
.oil-card .adm-card-body {
padding: 12px;
}
.oil-card-title {
font-size: 15px;
font-weight: 600;
color: var(--color-text);
margin-bottom: 8px;
}
.oil-card-title-row {
display: flex;
justify-content: space-between;
align-items: center;
margin-bottom: 8px;
}
.oil-card-title-row .oil-card-title { margin-bottom: 0; }
.oil-fuel-picker {
font-size: 13px;
color: var(--color-primary);
text-decoration: none;
}
.oil-crude {
display: grid;
grid-template-columns: 1fr 1fr;
gap: 8px;
margin-bottom: 8px;
}
.oil-crude-item {
background: #f7f8fa;
border-radius: 8px;
padding: 10px;
text-align: center;
}
.oil-crude-label { font-size: 12px; color: var(--color-muted); }
.oil-crude-value {
font-size: 22px;
font-weight: 700;
font-variant-numeric: tabular-nums;
margin: 2px 0;
}
.oil-crude-value.up { color: #ff3141; }
.oil-crude-value.down { color: #00b578; }
.oil-crude-unit { font-size: 12px; font-weight: 400; color: var(--color-muted); margin-left: 2px; }
.oil-crude-change { font-size: 12px; font-variant-numeric: tabular-nums; }
.oil-crude-change.up { color: #ff3141; }
.oil-crude-change.down { color: #00b578; }
.oil-prediction {
border-top: 1px solid var(--color-border);
padding-top: 8px;
}
.oil-pred-row {
display: flex;
align-items: center;
gap: 8px;
padding: 4px 0;
font-size: 13px;
}
.oil-pred-label { color: var(--color-muted); min-width: 76px; }
.oil-pred-value { color: var(--color-text); flex: 1; font-weight: 600; }
.oil-pred-sub { color: var(--color-muted); font-weight: 400; }
.oil-pred-tag {
font-size: 11px;
background: #f0f5ff;
color: var(--color-primary);
padding: 2px 6px;
border-radius: 4px;
}
.oil-pred-direction {
font-weight: 600;
font-size: 14px;
}
.oil-pred-direction.上涨 { color: #ff3141; }
.oil-pred-direction.下跌 { color: #00b578; }
.oil-pred-direction.搁浅 { color: #888; }
.oil-pred-analysis {
margin-top: 6px;
font-size: 12px;
color: var(--color-muted);
line-height: 1.55;
background: #f7f8fa;
padding: 8px 10px;
border-radius: 6px;
}
.oil-chart { margin: 0 -4px; }
.oil-chart-tip {
font-size: 11px;
color: var(--color-muted);
text-align: center;
margin-top: 4px;
}
.oil-year-tabs { display: flex; gap: 4px; }
.oil-year-tab {
border: 1px solid var(--color-border);
background: #fff;
color: var(--color-text);
padding: 4px 10px;
border-radius: 14px;
font-size: 12px;
cursor: pointer;
}
.oil-year-tab.active {
background: var(--color-primary);
color: #fff;
border-color: var(--color-primary);
}
.oil-cache-hint {
font-size: 11px;
color: #00b578;
background: #e6f7ee;
padding: 4px 8px;
border-radius: 4px;
margin-bottom: 8px;
}
.oil-schedule-meta {
font-size: 13px;
color: var(--color-muted);
margin-bottom: 10px;
display: flex;
align-items: center;
gap: 8px;
flex-wrap: wrap;
}
.oil-schedule-list { display: flex; flex-direction: column; gap: 10px; }
.oil-month-label {
font-size: 12px;
font-weight: 600;
color: var(--color-text);
margin-bottom: 4px;
}
.oil-month-items {
display: grid;
grid-template-columns: repeat(5, 1fr);
gap: 6px;
}
.oil-day {
border-radius: 6px;
padding: 6px 4px;
text-align: center;
font-size: 11px;
font-variant-numeric: tabular-nums;
}
.oil-day-date { font-weight: 600; font-size: 13px; }
.oil-day-status { color: var(--color-muted); margin-top: 2px; }
.oil-day.past { background: #f5f5f5; color: #999; }
.oil-day.future {
background: linear-gradient(135deg, #1677ff 0%, #4096ff 100%);
color: #fff;
}
.oil-day.future .oil-day-status { color: rgba(255,255,255,.85); }
/* ================== 打卡 / 日历 / 清单 (V0.2) ================== */
.checkin-content { padding: 0 0 16px; flex: 1 1 auto; min-height: 0; display: flex; flex-direction: column; }
.checkin-content .adm-tabs-content { --content-padding: 0; }
+6
View File
@@ -37,6 +37,12 @@ export default defineConfig({
target: 'http://127.0.0.1:3001',
changeOrigin: true,
},
// ifinance 外接模块 (开发期代理, 规避跨域; 生产环境前端直连)
'/ifinance-api': {
target: 'https://ifinance.honor3.com',
changeOrigin: true,
rewrite: (p) => p.replace(/^\/ifinance-api/, ''),
},
},
},
build: {