605f97e5df
扩展盘后正式集（涨跌停/人气/龙虎榜/板块日线）与盘中观察 API（报价/指数/分时），网站 bridge 按开关接入并回退旧链路；问天改为按数据依赖跟随开关，不再整栈强制旧路径。 Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: multica-agent <github@multica.ai>
99 lines
6.4 KiB
Python
99 lines
6.4 KiB
Python
from __future__ import annotations
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import sys
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from pathlib import Path
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ROOT = Path(__file__).resolve().parents[1]
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if str(ROOT) not in sys.path:
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sys.path.insert(0, str(ROOT))
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TRADE_DATE = "20240902"
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RAW = {
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"trade_cal": [
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{"exchange": "SSE", "cal_date": "20240902", "is_open": 1, "pretrade_date": "20240830"},
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{"exchange": "SSE", "cal_date": "20240903", "is_open": 1, "pretrade_date": "20240902"},
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{"exchange": "SSE", "cal_date": "20240907", "is_open": 0, "pretrade_date": "20240906"},
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],
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"stock_basic": [
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{"ts_code": "600000.SH", "symbol": "600000", "name": "浦发银行", "area": "上海", "industry": "银行", "market": "主板", "list_status": "L", "list_date": "19991110"},
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{"ts_code": "000001.SZ", "symbol": "000001", "name": "平安银行", "area": "深圳", "industry": "银行", "market": "主板", "list_status": "L", "list_date": "19910403"},
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],
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"daily": [
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{"ts_code": "600000.SH", "trade_date": "20240902", "open": 10.11, "high": 10.25, "low": 10.01, "close": 10.20, "pct_chg": 1.2345, "vol": 1000.0, "amount": 2000.0},
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{"ts_code": "000001.SZ", "trade_date": "20240902", "open": 11.00, "high": 11.20, "low": 10.90, "close": 11.10, "pct_chg": -0.5, "vol": 2000.0, "amount": 4000.0},
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],
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"daily_basic": [
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{"ts_code": "600000.SH", "trade_date": "20240902", "turnover_rate": 1.2, "volume_ratio": 0.8, "total_mv": 1000.0, "circ_mv": 800.0, "pe_ttm": 5.1, "pb": 0.6, "ps_ttm": 1.1, "dv_ttm": 4.0},
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{"ts_code": "000001.SZ", "trade_date": "20240902", "turnover_rate": 2.2, "volume_ratio": 1.1, "total_mv": 2000.0, "circ_mv": 1500.0, "pe_ttm": 6.2, "pb": 0.7, "ps_ttm": 1.2, "dv_ttm": None},
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],
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"adj_factor": [
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{"ts_code": "600000.SH", "trade_date": "20240902", "adj_factor": 1.1},
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{"ts_code": "000001.SZ", "trade_date": "20240902", "adj_factor": 2.0},
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],
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"index_daily": [
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{"ts_code": "000001.SH", "trade_date": "20240902", "open": 2700, "high": 2750, "low": 2690, "close": 2740, "pct_chg": 0.5, "vol": 3000.0, "amount": 500000.0},
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{"ts_code": "399001.SZ", "trade_date": "20240902", "open": 8000, "high": 8100, "low": 7900, "close": 8050, "pct_chg": 0.4, "vol": 2000.0, "amount": 300000.0},
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{"ts_code": "399006.SZ", "trade_date": "20240902", "open": 1600, "high": 1620, "low": 1580, "close": 1610, "pct_chg": 0.3, "vol": 1000.0, "amount": 100000.0},
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{"ts_code": "000300.SH", "trade_date": "20240902", "open": 3500, "high": 3550, "low": 3480, "close": 3520, "pct_chg": 0.2, "vol": 1500.0, "amount": 200000.0},
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],
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"moneyflow": [
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{"ts_code": "600000.SH", "trade_date": "20240902", "buy_sm_amount": 10, "sell_sm_amount": 8, "buy_md_amount": 20, "sell_md_amount": 15, "buy_lg_amount": 30, "sell_lg_amount": 25, "buy_elg_amount": 40, "sell_elg_amount": 35, "net_mf_amount": 17},
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{"ts_code": "000001.SZ", "trade_date": "20240902", "buy_sm_amount": 11, "sell_sm_amount": 9, "buy_md_amount": 21, "sell_md_amount": 16, "buy_lg_amount": 31, "sell_lg_amount": 26, "buy_elg_amount": 41, "sell_elg_amount": 36, "net_mf_amount": 18},
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],
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"stk_auction": [
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{"ts_code": "600000.SH", "trade_date": "20240902", "vol": 100, "price": 10.15, "amount": 1500000, "pre_close": 10.00, "turnover_rate": 0.1, "volume_ratio": 1.2, "float_share": 2000},
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{"ts_code": "000001.SZ", "trade_date": "20240902", "vol": 80, "price": 11.05, "amount": 1200000, "pre_close": 11.10, "turnover_rate": 0.2, "volume_ratio": 0.9, "float_share": 1800},
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],
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"limit_list_d": [
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{"trade_date": "20240902", "ts_code": "600000.SH", "industry": "银行", "name": "浦发银行", "close": 10.2, "pct_chg": 9.95, "amount": 1e8, "limit_amount": 5000, "float_mv": 800, "total_mv": 1000, "turnover_ratio": 5.0, "fd_amount": 2e7, "first_time": "09:30:01", "last_time": "14:55:00", "open_times": 0, "up_stat": "1/1", "limit_times": 1, "limit_type": "U"},
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],
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"ths_hot": [
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{"ts_code": "600000.SH", "ts_name": "浦发银行", "hot": 90.0, "rank": 1, "pct_change": 1.2, "current_price": 10.2, "concept": "银行", "data_type": "热股", "trade_date": "20240902"},
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],
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"dc_hot": [
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{"ts_code": "600000.SH", "ts_name": "浦发银行", "rank": 2, "pct_change": 1.2, "current_price": 10.2, "hot": 80.0, "concept": "银行", "data_type": "A股市场", "trade_date": "20240902"},
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],
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"hm_detail": [
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{"trade_date": "20240902", "ts_code": "600000.SH", "ts_name": "浦发银行", "buy_amount": 1000, "sell_amount": 200, "net_amount": 800, "hm_name": "测试游资", "hm_orgs": "某某营业部", "tag": "超买"},
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],
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"top_list": [
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{"trade_date": "20240902", "ts_code": "600000.SH", "name": "浦发银行", "pct_change": 9.95, "reason": "涨幅偏离值达7%"},
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],
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"ths_daily": [
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{"ts_code": "885811.TI", "trade_date": "20240902", "open": 1000, "high": 1010, "low": 990, "close": 1005, "pre_close": 995, "pct_change": 1.0, "vol": 100, "turnover_rate": 1.2},
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],
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"dc_index": [
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{"ts_code": "BK0475", "trade_date": "20240902", "name": "银行", "open": 100, "high": 101, "low": 99, "close": 100.5, "pre_close": 99.5, "pct_change": 1.0, "vol": 10, "amount": 1e8, "turnover_rate": 0.5},
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],
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"sw_daily": [
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{"ts_code": "801780.SI", "trade_date": "20240902", "name": "银行", "open": 2000, "high": 2010, "low": 1990, "close": 2005, "pct_change": 0.8, "vol": 50, "amount": 2e8},
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],
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}
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def fake_transport(api_name: str, params: dict, fields: str):
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if api_name == "index_daily":
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code = params.get("ts_code")
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rows = [row for row in RAW["index_daily"] if row["ts_code"] == code]
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trade_date = str(params.get("trade_date") or "")
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start = str(params.get("start_date") or "")
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end = str(params.get("end_date") or "")
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if trade_date:
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rows = [row for row in rows if row["trade_date"] == trade_date]
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if start:
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rows = [row for row in rows if row["trade_date"] >= start]
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if end:
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rows = [row for row in rows if row["trade_date"] <= end]
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return rows
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if api_name == "trade_cal":
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start = str(params.get("start_date") or "")
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end = str(params.get("end_date") or "99999999")
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return [row for row in RAW["trade_cal"] if start <= row["cal_date"] <= end]
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rows = list(RAW.get(api_name) or [])
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if api_name == "limit_list_d":
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limit_type = str(params.get("limit_type") or "")
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if limit_type:
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rows = [row for row in rows if str(row.get("limit_type") or "") == limit_type]
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return rows
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