diff --git a/backend/app/data_providers/custom/mapper.py b/backend/app/data_providers/custom/mapper.py index 88f86aaa..4a7bb0f5 100644 --- a/backend/app/data_providers/custom/mapper.py +++ b/backend/app/data_providers/custom/mapper.py @@ -31,7 +31,10 @@ def extract_rows(payload: Any, response_path: str = "") -> list[dict]: def map_rows(rows: list[dict], field_map: dict[str, str]) -> pl.DataFrame: if not rows: return pl.DataFrame() - df = pl.DataFrame(rows) + # 全量扫描推断: 默认 100 行采样会把稀疏列(前 100 行全 null, 如仅银行股 + # 有值的财务费用)推断成 Null 列, 后续数值行 append 直接 ComputeError — + # 财务批 batch=100 时整表拉空 (与 fuyao 插件 infer_schema_length=None 同因)。 + df = pl.DataFrame(rows, infer_schema_length=None) rename = {src: dst for src, dst in field_map.items() if src in df.columns and src != dst} if rename: df = df.rename(rename) diff --git a/backend/app/data_providers/custom/provider.py b/backend/app/data_providers/custom/provider.py index 47ed8955..08df4be7 100644 --- a/backend/app/data_providers/custom/provider.py +++ b/backend/app/data_providers/custom/provider.py @@ -117,12 +117,19 @@ class GenericHTTPProvider: missing = sorted(required - mapped) if missing: errors.append(f"{dataset}: missing mapped fields: {', '.join(missing)}") + # 两个外部字段映射同一内部列: rename 阶段 DuplicateError → 整表拉空, + # 保存时拦截给明确提示 (前端映射行允许选重, 不拦会静默失败难排查)。 + targets = list(cfg.field_map.values()) + dup_targets = sorted({t for t in targets if targets.count(t) > 1}) + if dup_targets: + errors.append(f"{dataset}: duplicate mapped target fields: {', '.join(dup_targets)}") if cfg.pct_unit is not None: if dataset != "realtime": errors.append(f"{dataset}: pct_unit 仅用于 realtime 数据集") elif cfg.pct_unit not in ("percent", "decimal"): errors.append(f"{dataset}: pct_unit 必须是 percent 或 decimal") - if dataset not in {"realtime", "depth5"}: + # depth5/financial 逐批只注入代码参数, 起止时间不参与请求, 不纳入重名检查 + if dataset not in {"realtime", "depth5", "financial"}: request_params = [cfg.symbols_param, cfg.start_param, cfg.end_param] if dataset in {"minute", "full_minute"}: request_params.extend( @@ -436,6 +443,15 @@ class GenericHTTPProvider: rows = self._request_rows(cfg) elif dataset == "depth5": rows = self._request_rows(cfg, symbols=test_symbols) + elif dataset == "financial": + # 财务测试取 metrics 表: 与生产 get_financials("metrics") 同口径 + override = {**cfg.params, "table": "metrics"} + rows = self._request_rows( + cfg, + symbols=test_symbols, + override_params=override, + override_body={**cfg.body, "table": "metrics"}, + ) elif dataset in {"minute", "full_minute"}: override: dict[str, Any] = {} if cfg.asset_type_param: diff --git a/backend/tests/test_custom_financial_provider.py b/backend/tests/test_custom_financial_provider.py new file mode 100644 index 00000000..fe99914d --- /dev/null +++ b/backend/tests/test_custom_financial_provider.py @@ -0,0 +1,131 @@ +"""自定义源 financial 数据集回归。 + +一个 financial 配置覆盖全部五表(metrics/income/balance_sheet/cash_flow/ +shares): 请求时注入 table 参数由上游分发; shares 表额外注入 latest。 +字段只要求映射出 symbol, 指标列按 canonical 口径宽表透传, 无 +period_end 的帧由同步层合并链路自然过滤。 +""" +from __future__ import annotations + +import polars as pl + +from app.data_providers.custom.config import config_from_dict +from app.data_providers.custom.provider import GenericHTTPProvider + + +def _provider(**overrides) -> GenericHTTPProvider: + cfg = { + "url": "http://example.test/financial", + "response_path": "data", + "field_map": { + "symbol": "symbol", "period_end": "period_end", + "announce_date": "announce_date", + "revenue": "revenue", "net_income": "net_income", + }, + **overrides, + } + return GenericHTTPProvider(config_from_dict({ + "name": "eltdx", "datasets": {"financial": cfg}, + })) + + +def test_financial_request_injects_table_parameter(monkeypatch): + provider = _provider() + captured: dict = {} + + def fake_request(cfg, **kwargs): + captured.update(kwargs) + return [{"symbol": "600000.SH", "period_end": "2026-06-30", + "announce_date": "2026-08-30", + "revenue": 1.0, "net_income": 0.1}] + + monkeypatch.setattr(provider, "_request_rows", fake_request) + df = provider.get_financials("income", ["600000.SH"]) + + assert captured["symbols"] == ["600000.SH"] + assert captured["override_params"]["table"] == "income" + assert captured["override_body"]["table"] == "income" + assert df.columns == ["symbol", "period_end", "announce_date", "revenue", "net_income"] + assert df["symbol"][0] == "600000.SH" + + +def test_financial_shares_request_injects_latest_flag(monkeypatch): + provider = _provider() + captured: dict = {} + monkeypatch.setattr( + provider, "_request_rows", + lambda cfg, **kwargs: (captured.update(kwargs), [])[1], + ) + + provider.get_financials("shares", ["600000.SH"], latest_only=True) + assert captured["override_params"]["table"] == "shares" + assert captured["override_params"]["latest"] is True + + provider.get_financials("shares", ["600000.SH"], latest_only=False) + assert captured["override_params"]["latest"] is False + + provider.get_financials("metrics", ["600000.SH"]) + # 非 shares 表不注入 latest + assert "latest" not in captured["override_params"] + + +def test_financial_validate_skips_date_parameter_conflicts(): + # financial 逐批只注入代码参数: 起止时间不参与请求, + # 其与 symbols_param 重名不应被判 duplicate + provider = _provider(symbols_param="range", start_param="range") + assert provider.validate() == [] + + assert _provider().validate() == [] + + +def test_financial_test_dataset_probes_metrics_table(monkeypatch): + provider = _provider() + captured: dict = {} + monkeypatch.setattr( + provider, "_request_rows", + lambda cfg, **kwargs: (captured.update(kwargs), [ + {"symbol": "600000.SH", "period_end": "2026-06-30"}, + ])[1], + ) + + out = provider.test_dataset("financial", ["600000.SH"]) + assert out["dataset"] == "financial" + assert out["rows"] == 1 + # 测试与生产同口径: 注入 table=metrics + assert captured["override_params"]["table"] == "metrics" + + +def test_financial_sparse_column_survives_schema_inference(monkeypatch): + """稀疏列回归: batch=100 时前 100 行全 null 的列不得被采样推断成 Null 列。 + + 旧行为: pl.DataFrame(rows) 默认 100 行采样 → Null dtype → 第 101 行数值 + append ComputeError → 整表拉空 (fuyao 插件同因踩坑)。 + """ + provider = _provider() + rows = [ + {"symbol": f"00000{i}.SZ", "period_end": "2026-06-30", + "announce_date": "2026-08-30", "revenue": None} + for i in range(100) + ] + rows.append({"symbol": "600519.SH", "period_end": "2026-06-30", + "announce_date": "2026-08-30", "revenue": 5.0e10}) + monkeypatch.setattr(provider, "_request_rows", lambda cfg, **kwargs: rows) + + df = provider.get_financials("metrics", ["600519.SH"]) + assert df["revenue"].dtype == pl.Float64 + assert df["revenue"].drop_nulls().to_list() == [5.0e10] + + +def test_duplicate_mapped_targets_are_rejected(): + """两个外部字段映射同一内部列: rename 阶段 DuplicateError → 整表拉空, + validate 必须在保存时拦截 (前端映射行允许选重)。""" + provider = GenericHTTPProvider(config_from_dict({ + "name": "eltdx", + "datasets": {"financial": { + "url": "http://example.test/financial", + "field_map": {"symbol": "symbol", "eps": "eps_basic", + "eps_dil": "eps_basic"}, # eps_dil 与 eps 同目标 + }}, + })) + errors = provider.validate() + assert "financial: duplicate mapped target fields: eps_basic" in errors diff --git a/docs/custom-data-source.md b/docs/custom-data-source.md index 981dc3a5..cbb058e9 100644 --- a/docs/custom-data-source.md +++ b/docs/custom-data-source.md @@ -4,7 +4,7 @@ ## 支持范围 -当前自定义源支持六类数据: +当前自定义源支持七类数据: | 数据集 | 配置名 | 说明 | | --- | --- | --- | @@ -12,10 +12,9 @@ | 除权因子 | `adj_factor` | 批量返回一组股票的复权因子 | | 实时行情 | `realtime` | 返回全市场快照,用于盘中 enriched 增量计算 | | 分钟K | `minute` | 返回 1m 分钟K(需映射出 symbol / datetime / OHLC / 量; amount 成交额可缺省, 缺省时均价线降级显示 —) | +| 五档盘口 | `depth5` | 批量返回一组股票的买卖五档快照(逐批注入代码参数,无起止时间) | | 全量分钟 | `full_minute` | 与 `minute` 同形;声明后可被路由为「全量分钟」生效源,内置服务盘中按当日窗口全市场批量落盘(仅修复轮语义,节奏下限 60s) | -| 财务数据 | `financial` | 一个配置覆盖全部财务表,请求时把表名作为参数传给上游;字段由数据源决定,仅需映射出 symbol | - -深度盘口(depth5)暂无数据集契约,仍由 TickFlow 提供。 +| 财务数据 | `financial` | 一个配置覆盖全部五张财务表;请求时注入 `table` 参数由上游分发,五表按报告期累积落库(见下 `financial` 字段契约) | `full_minute` 声明式源只提供修复轮(当日窗口批量);廉价增量端点 (`get_intraday_latest`)是 Python 插件契约,见 @@ -152,12 +151,87 @@ datasets: | 未声明 | `change_pct` 按截面中位数归一(A 股涨跌停 30% 上限使两种单位物理可分);`amplitude` / `turnover_rate` **置 `None`** 交由 pipeline 按价格与股本口径重算,并记录 WARNING | | 列已配置 `transforms` | 视为用户已接管该列单位,原样透传 | +### depth5 必填 + +| 内部字段 | 含义 | +| --- | --- | +| `symbol` | 标准代码 | +| `asks` | 卖五档,嵌套数组 `[[价,量], ...]`,按卖一至卖五顺序 | +| `bids` | 买五档,嵌套数组 `[[价,量], ...]`,按买一至买五顺序 | + +`asks` / `bids` 每档取前两个元素按数值解析为 `[价格, 手数]`,无法解析的档位被跳过;数量单位沿用现有封单量口径(手),前端计算封单额时再乘 100 换算为股。示例响应行: + +```json +{ "code": "000001.SZ", "sell": [[10.01, 1200], [10.02, 800], [10.03, 500], [10.04, 300], [10.05, 200]], + "buy": [[10.00, 900], [9.99, 700], [9.98, 400], [9.97, 350], [9.96, 150]] } +``` + +对应映射 `code→symbol`、`sell→asks`、`buy→bids`。声明 depth5 后即可在设置 → 数据源 → 能力路由把五档生效源切到该自定义源;五档独立路由,失败不跨源回退。 + +### financial 必填 + +| 内部字段 | 含义 | +| --- | --- | +| `symbol` | 标准代码(唯一硬性要求,缺 symbol 的帧被丢弃) | +| `period_end` | 报告期 `YYYY-MM-DD`;缺此列的帧不参与报告期合并,页面按时间排序失效 | +| `announce_date` | 公告日期 `YYYY-MM-DD`;缺省时按报告期排序,换手率用公告日判业务可用性 | + +一个 `financial` 配置覆盖全部五张表,每次请求自动注入 `table` +参数(`metrics` / `income` / `balance_sheet` / `cash_flow` / `shares`) +由上游分发返回对应表数据;`shares` 表额外注入 `latest`(当期 `True` / +全历史 `False`)。映射为「外部字段 → 内部列」一对一:同一外部字段名只能 +映射到一个内部列 — 若两张表存在同名字段且含义不同(如 `total` 在 +balance_sheet 是资产、在 shares 是股本),无法分别映射,需要上游区分字段名 +或只映射其一。两个外部字段映射同一内部列会在保存时被校验拒绝。某批响应 +里完全缺失(而非为 null)的字段该批不落该列,跨批/跨轮合并会自动补 null。 + +每表 canonical 列(前端财务页与回测基本面因子按此消费;不映射的列在 +页面显示为 —,不影响其他列): + +- `metrics` 核心指标: `eps_basic` / `eps_diluted` / `bps`(每股净资产) / + `ocfps`(每股经营现金流) / `roe` / `roe_diluted` / `roa` / + `gross_margin`(毛利率) / `net_margin`(净利率) / `debt_to_asset_ratio`(资产负债率) / + `revenue_yoy`(营收同比) / `net_income_yoy`(净利同比) / + `operating_cash_to_revenue`(经营现金/营收) / `inventory_turnover`(存货周转率) + —— 注意: 百分比列存**百分点**(12.3 表示 12.3%),与 realtime 的小数制不同 +- `income` 利润表: `revenue`(营收) / `operating_cost`(营业成本) / + `operating_profit`(营业利润) / `selling_expense`(销售费用) / + `admin_expense`(管理费用) / `rd_expense`(研发费用) / + `financial_expense`(财务费用) / `non_operating_income`(营业外收入) / + `non_operating_expense`(营业外支出) / `total_profit`(利润总额) / + `income_tax`(所得税) / `net_income`(净利润) / + `net_income_attributable`(归母净利) / `net_income_deducted`(扣非净利) / + `basic_eps` / `diluted_eps` —— 金额单位元 +- `balance_sheet` 资产负债表: `total_assets`(资产总计) / + `total_current_assets`(流动资产) / `total_non_current_assets`(非流动资产) / + `cash_and_equivalents`(货币资金) / `accounts_receivable`(应收账款) / + `inventory`(存货) / `fixed_assets`(固定资产) / `intangible_assets`(无形资产) / + `goodwill`(商誉) / `total_liabilities`(负债合计) / + `total_current_liabilities`(流动负债) / `total_non_current_liabilities`(非流动负债) / + `short_term_borrowing`(短期借款) / `long_term_borrowing`(长期借款) / + `accounts_payable`(应付账款) / `total_equity`(所有者权益) / + `equity_attributable`(归母权益) / `retained_earnings`(未分配利润) / + `minority_interest`(少数股东权益) —— 金额单位元 +- `cash_flow` 现金流量表: `net_operating_cash_flow`(经营净额) / + `net_investing_cash_flow`(投资净额) / `net_financing_cash_flow`(筹资净额) / + `capex`(资本开支) / `net_cash_change`(现金净增加) —— 金额单位元 +- `shares` 股本: `total_shares`(总股本,股) / `float_shares`(流通股本,股) — + 历史换手率按公告日(缺则报告期)取有效股本,无 `float_shares` 时回退维表最新股本 + +被切为财务生效源后,财务同步走独立调度(每周 metrics + 手动全表), +报告期合并按 `(symbol, period_end)` 逐列取最新非空值:多源字段可并集 +共存互不覆盖(如 TickFlow 补齐 metrics 历史各期,自定义源提供当期报表), +但切换生效源后**不再拉取的表不会自动清空**,旧数据会保留到被新数据覆盖。 +声明了 financial 但上游某表无数据时返回空即可,已有存量靠合并写入保留。 + ## 请求约定 - `daily` / `adj_factor` 会按 `batch` 切分 symbols。 - POST 请求会发送 JSON body: `symbols`、`start_time`、`end_time`。 - GET 请求会发送 query 参数: `symbols=000001.SZ,600000.SH`。 - `realtime` 必须是全市场快照接口,不支持逐个 symbol 拉实时行情。 +- `depth5` 会按 `batch` 切分 symbols 逐批请求,只注入代码参数(无 `start_time` / `end_time`)。 +- `financial` 同样按 `batch` 切分逐批请求,只注入代码参数 + `table` 表名(无起止时间);`shares` 表额外注入 `latest`。 可通过这些字段改参数名: diff --git a/frontend/src/pages/settings/DataSourceEditor.tsx b/frontend/src/pages/settings/DataSourceEditor.tsx index 1596394b..5c437462 100644 --- a/frontend/src/pages/settings/DataSourceEditor.tsx +++ b/frontend/src/pages/settings/DataSourceEditor.tsx @@ -9,7 +9,7 @@ import { toast } from '@/components/Toast' const INPUT_CLS = 'w-full h-9 px-2.5 rounded-lg bg-base border-0 ring-1 ring-border/40 text-xs text-foreground placeholder:text-muted/30 focus:outline-none focus:ring-2 focus:ring-accent/40 transition-shadow' -const DATASETS = ['daily', 'adj_factor', 'realtime', 'minute', 'full_minute'] as const +const DATASETS = ['daily', 'adj_factor', 'realtime', 'minute', 'depth5', 'full_minute', 'financial'] as const type DatasetKey = typeof DATASETS[number] const DATASET_LABEL: Record = { @@ -17,17 +17,61 @@ const DATASET_LABEL: Record = { adj_factor: '除权因子', realtime: '实时行情', minute: '分钟K', + depth5: '五档盘口', full_minute: '全量分钟', + financial: '财务数据', } +// 财务 canonical 全列 (与前端财务页 FIELD_DEFS / fuyao provider 映射对齐)。 +// 一个 financial 配置覆盖全部五表 (metrics/income/balance_sheet/cash_flow/shares), +// 上游每个外部字段分别映射到其所属表的 canonical 列。 +const FINANCIAL_ALL_FIELDS = [ + // 报告期骨架 (五表通用) + 'symbol', 'period_end', 'announce_date', + // metrics: 核心指标 (pct 百分点制: 12.3 表示 12.3%) + 'eps_basic', 'eps_diluted', 'bps', 'ocfps', 'roe', 'roe_diluted', 'roa', + 'gross_margin', 'net_margin', 'debt_to_asset_ratio', 'revenue_yoy', + 'net_income_yoy', 'operating_cash_to_revenue', 'inventory_turnover', + // income: 利润表 + 'revenue', 'operating_cost', 'operating_profit', 'selling_expense', + 'admin_expense', 'rd_expense', 'financial_expense', 'non_operating_income', + 'non_operating_expense', 'total_profit', 'income_tax', 'net_income', + 'net_income_attributable', 'net_income_deducted', 'basic_eps', 'diluted_eps', + // balance_sheet: 资产负债表 + 'total_assets', 'total_current_assets', 'total_non_current_assets', + 'cash_and_equivalents', 'accounts_receivable', 'inventory', 'fixed_assets', + 'intangible_assets', 'goodwill', 'total_liabilities', 'total_current_liabilities', + 'total_non_current_liabilities', 'short_term_borrowing', 'long_term_borrowing', + 'accounts_payable', 'total_equity', 'equity_attributable', 'retained_earnings', + 'minority_interest', + // cash_flow: 现金流量表 + 'net_operating_cash_flow', 'net_investing_cash_flow', 'net_financing_cash_flow', + 'capex', 'net_cash_change', + // shares: 股本 (换手率历史股本用) + 'total_shares', 'float_shares', +] as const + const TARGET_FIELDS: Record = { daily: ['symbol', 'date', 'open', 'high', 'low', 'close', 'volume', 'amount'], adj_factor: ['symbol', 'trade_date', 'ex_factor'], realtime: ['symbol', 'name', 'last_price', 'prev_close', 'open', 'high', 'low', 'volume', 'amount', 'change_pct', 'change_amount', 'amplitude', 'turnover_rate', 'timestamp', 'session'], minute: ['symbol', 'datetime', 'open', 'high', 'low', 'close', 'volume', 'amount'], + depth5: ['symbol', 'asks', 'bids'], full_minute: ['symbol', 'datetime', 'open', 'high', 'low', 'close', 'volume', 'amount'], + // 财务只预填骨架三列, 具体指标从"添加映射"下拉按表选择 (全预填 60 行太长) + financial: ['symbol', 'period_end', 'announce_date'], } +// 财务的映射下拉选项 = 五表 canonical 全列 (预填只给骨架, 下拉覆盖全部) +const TARGET_OPTIONS: Record = { + ...Object.fromEntries( + (['daily', 'adj_factor', 'realtime', 'minute', 'depth5', 'full_minute'] as DatasetKey[]).map( + k => [k, TARGET_FIELDS[k]], + ), + ), + financial: [...FINANCIAL_ALL_FIELDS], +} as Record + // 内部字段的中文说明 (下拉选项展示用) const FIELD_LABELS: Record = { symbol: '股票代码 (如 000001.SZ / 600000.SH)', @@ -50,6 +94,72 @@ const FIELD_LABELS: Record = { turnover_rate: '换手率 (小数 0.05=5%)', timestamp: '时间戳', session: '交易时段', + asks: '卖五档 [[价,量]×5] (量:手)', + bids: '买五档 [[价,量]×5] (量:手)', + // 财务骨架 + period_end: '报告期 (YYYY-MM-DD)', + announce_date: '公告日期 (YYYY-MM-DD)', + // 财务 metrics + eps_basic: '基本每股收益 EPS', + eps_diluted: '稀释每股收益 EPS', + bps: '每股净资产 BPS', + ocfps: '每股经营现金流', + roe: '净资产收益率 ROE (%)', + roe_diluted: '稀释 ROE (%)', + roa: '总资产收益率 ROA (%)', + gross_margin: '销售毛利率 (%)', + net_margin: '销售净利率 (%)', + debt_to_asset_ratio: '资产负债率 (%)', + revenue_yoy: '营收同比增长 (%)', + net_income_yoy: '净利润同比增长 (%)', + operating_cash_to_revenue: '经营现金/营收 (%)', + inventory_turnover: '存货周转率', + // 财务 income (金额:元) + revenue: '营业收入 (元)', + operating_cost: '营业成本 (元)', + operating_profit: '营业利润 (元)', + selling_expense: '销售费用 (元)', + admin_expense: '管理费用 (元)', + rd_expense: '研发费用 (元)', + financial_expense: '财务费用 (元)', + non_operating_income: '营业外收入 (元)', + non_operating_expense: '营业外支出 (元)', + total_profit: '利润总额 (元)', + income_tax: '所得税 (元)', + net_income: '净利润 (元)', + net_income_attributable: '归母净利润 (元)', + net_income_deducted: '扣非净利润 (元)', + basic_eps: '基本每股收益 (元)', + diluted_eps: '稀释每股收益 (元)', + // 财务 balance_sheet (金额:元) + total_assets: '资产总计 (元)', + total_current_assets: '流动资产合计 (元)', + total_non_current_assets: '非流动资产合计 (元)', + cash_and_equivalents: '货币资金 (元)', + accounts_receivable: '应收账款 (元)', + inventory: '存货 (元)', + fixed_assets: '固定资产 (元)', + intangible_assets: '无形资产 (元)', + goodwill: '商誉 (元)', + total_liabilities: '负债合计 (元)', + total_current_liabilities: '流动负债合计 (元)', + total_non_current_liabilities: '非流动负债合计 (元)', + short_term_borrowing: '短期借款 (元)', + long_term_borrowing: '长期借款 (元)', + accounts_payable: '应付账款 (元)', + total_equity: '所有者权益合计 (元)', + equity_attributable: '归母所有者权益 (元)', + retained_earnings: '未分配利润 (元)', + minority_interest: '少数股东权益 (元)', + // 财务 cash_flow (金额:元) + net_operating_cash_flow: '经营现金流净额 (元)', + net_investing_cash_flow: '投资现金流净额 (元)', + net_financing_cash_flow: '筹资现金流净额 (元)', + capex: '固定资产/无形资产投资 (元)', + net_cash_change: '现金净增加额 (元)', + // 财务 shares (股) + total_shares: '总股本 (股)', + float_shares: '流通股本 (股)', } function normalizeConfig(config: CustomSourceConfig): CustomSourceConfig { @@ -65,6 +175,11 @@ function normalizeConfig(config: CustomSourceConfig): CustomSourceConfig { delete normalized.start_param delete normalized.end_param } + // 五档/财务为逐批快照: 只注入代码参数(财务另注入 table 表名), 起止时间不参与请求 + if (key === 'depth5' || key === 'financial') { + delete normalized.start_param + delete normalized.end_param + } return [ key, { @@ -343,7 +458,9 @@ function DatasetDetail({ const enabled = !!cfg const [testSymbols, setTestSymbols] = useState('000001.SZ,600000.SH') const [showParams, setShowParams] = useState(false) - const showTimeParams = datasetKey !== 'realtime' + // realtime 为全市场快照不注入任何参数; depth5/financial 逐批注入代码参数但无起止时间 + const showSymbolsParam = datasetKey !== 'realtime' + const showTimeParams = datasetKey !== 'realtime' && datasetKey !== 'depth5' && datasetKey !== 'financial' const test = useMutation({ mutationFn: () => api.testDataSource( providerName, @@ -450,6 +567,13 @@ function DatasetDetail({
改外部接口的参数名（留空用默认）
+ {datasetKey === 'financial' && ( +
+ 一个财务配置覆盖全部五表；请求时自动附带 table 参数 + (metrics/income/balance_sheet/cash_flow/shares)，上游据此返回对应表数据。 + shares 表额外附带 latest 参数（当期/历史）。 +
+ )} {showParams && (
+ {showSymbolsParam && ( + + onUpdate({ symbols_param: e.target.value || undefined })} + placeholder="symbols" + className={`${INPUT_CLS} w-full`} + /> + + )} {showTimeParams && ( <> - - onUpdate({ symbols_param: e.target.value || undefined })} - placeholder="symbols" - className={`${INPUT_CLS} w-full`} - /> -
@@ -600,12 +727,16 @@ function DatasetDetail({ function FieldMapEditor({ fieldMap, targets, + options, onChange, }: { fieldMap: Record targets: string[] + // 下拉可选列; 缺省 = targets。财务预填仅骨架三列, 下拉给五表全列。 + options?: string[] onChange: (fm: Record) => void }) { + const choices = options ?? targets // 内部用数组维护行的稳定身份, 避免 Record 在编辑空行时 key 漂移导致输入框失焦 const [rows, setRows] = useState>(() => { const entries = Object.entries(fieldMap) @@ -675,12 +806,12 @@ function FieldMapEditor({ /> →