import enum
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import json
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from db import mysql_data_delegate as mysql_data
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def parse_kpl_datas(results):
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start_y = -1
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end_x = -1
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index = 0
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datas = []
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for result in results:
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text = result[1]
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if text.find("股票名称") > -1:
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start_y = result[0][0][1]
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if text.find("竞价涨幅") > -1:
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end_x = result[0][0][0]
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if start_y > 0 and end_x > 0:
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if result[0][0][0] < end_x and result[0][0][1] > start_y and (result[0][1][0] - result[0][0][0]) > 30:
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datas.append(text)
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index += 1
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datas = datas[:3 * 5]
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fdatas = []
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temp = []
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for data in datas:
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temp.append(data)
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if len(temp) == 3:
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fdatas.append((temp[2][:6], temp[1]))
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temp = []
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return fdatas
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# 涨停代码：
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# (代码,名称,首次涨停时间,最近涨停时间,几板,涨停原因,板块,实际流通,主力净额,涨停原因代码,涨停原因代码数量)
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# (0,1,6,25,9,16,11,15,12)
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# 竞价代码：
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# (代码,名称,涨停委买额,板块,竞价成交额,实际流通)
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# (0,1,18,11,22,15)
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# 炸板：
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# (代码,名称,涨幅,板块,实际流通)
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# (0,1,4,11,15)
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# 跌停：
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# (代码,名称,板块,实际流通)
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# (0,1,11,15)
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# 曾跌停：
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# (代码,名称,涨幅,板块,实际流通)
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# (0,1,4,11,15)
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DABAN_TYPE_BIDDING = 8
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DABAN_TYPE_LIMIT_UP = 1
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DABAN_TYPE_OPEN_LIMIT_UP = 2
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DABAN_TYPE_LIMIT_DOWN = 3
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DABAN_TYPE_EVER_LIMIT_DOWN = 5
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class KPLDataType(enum.Enum):
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BIDDING = "biddings"
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LIMIT_UP = "limit_up"
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OPEN_LIMIT_UP = "open_limit_up"
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LIMIT_DOWN = "limit_down"
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EVER_LIMIT_DOWN = "ever_limit_down"
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FENG_KOU = "feng_kou"
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BEST_FENG_KOU = "best_feng_kou"
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FENG_XIANG = "feng_xiang"
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INDUSTRY_RANK = "industry_rank"
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JINGXUAN_RANK = "jingxuan_rank"
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JINGXUAN_RANK_OUT = "jingxuan_rank_out"
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def __parseDaBanItemData(data, type):
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if type == DABAN_TYPE_BIDDING:
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return data[0], data[1], data[18], data[11], data[22], data[15]
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elif type == DABAN_TYPE_LIMIT_UP:
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# (代码, 名称, 首次涨停时间, 最近涨停时间, 几板, 涨停原因, 板块, 实际流通, 主力净额, 涨停原因代码, 涨停原因代码数量)
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return data[0], data[1], data[6], data[25], data[9], data[16], data[11], data[15], data[12], data[26], data[27]
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elif type == DABAN_TYPE_OPEN_LIMIT_UP:
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return data[0], data[1], data[4], data[11], data[15]
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elif type == DABAN_TYPE_LIMIT_DOWN:
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return data[0], data[1], data[11], data[15]
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elif type == DABAN_TYPE_EVER_LIMIT_DOWN:
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return data[0], data[1], data[4], data[11], data[15]
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return None
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def __parseLimitUpItemData(data):
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# (代码, 名称, 首次涨停时间, 最近涨停时间, 几板, 涨停原因, 板块, 实际流通, 主力净额, 涨停原因代码, 涨停原因代码数量)
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return data[0], data[1], data[4], data[4], data[18], data[5], data[12], data[13], data[8], data[19], data[20]
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# 最强风口
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# (代码,名称,强度,涨幅,热门板块,所有板块)
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def __parseBestFengKouItemData(data):
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return data[0], data[1], data[2], data[4], data[12], data[10]
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# 市场风口
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# (代码,名称,涨幅,主力净额,风口概念)
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def __parseFengKouItemData(data):
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return data[0], data[1], data[3], data[7], data[11]
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# 风向标
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# (代码, 名称, 现价, 涨幅, 板块, 300万大单净额, 主力净额, 自由市值)
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def __parseFengXiangBiaoItemData(data):
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return data[0], data[1], data[5], data[6], data[4], data[-3], data[13], data[10]
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# 行业涨幅
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# (代码,名称,主力净额,涨跌幅)
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def __parseIndustry_rank(data):
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return data[0], data[1], data[6], data[3]
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def parseDaBanData(data, type_):
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if type(data) == str:
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data = json.loads(data)
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if int(data["errcode"]) != 0:
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raise Exception(f"解析数据出错，errcode：{data['errcode']}")
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list_ = data["list"]
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fresult_ = []
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for d in list_:
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pdata = __parseDaBanItemData(d, type_)
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if pdata:
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fresult_.append(pdata)
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return fresult_
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def parseLimitUpData(data):
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if type(data) == str:
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data = json.loads(data)
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if int(data["errcode"]) != 0:
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raise Exception(f"解析数据出错，errcode：{data['errcode']}")
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list_ = data["list"]
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fresult_ = []
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for d in list_:
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pdata = __parseLimitUpItemData(d)
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if pdata:
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fresult_.append(pdata)
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return fresult_
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def parseFengKou(data):
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if type(data) == str:
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data = json.loads(data)
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if int(data["errcode"]) != 0:
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raise Exception(f"解析数据出错，errcode：{data['errcode']}")
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list_ = data["List"]
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fresult_ = []
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for d in list_:
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pdata = __parseFengKouItemData(d)
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if pdata:
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fresult_.append(pdata)
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return fresult_
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def parseBestFengKou(data):
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if type(data) == str:
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data = json.loads(data)
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if int(data["errcode"]) != 0:
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raise Exception(f"解析数据出错，errcode：{data['errcode']}")
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list_ = data["List"]
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fresult_ = []
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for d in list_:
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pdata = __parseBestFengKouItemData(d)
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if pdata:
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fresult_.append(pdata)
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return fresult_
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def parseFengXiang(data):
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if type(data) == str:
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data = json.loads(data)
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if int(data["errcode"]) != 0:
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raise Exception(f"解析数据出错，errcode：{data['errcode']}")
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list_ = data["list"]
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fresult_ = []
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for d in list_:
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pdata = __parseFengXiangBiaoItemData(d)
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if pdata:
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fresult_.append(pdata)
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return fresult_
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def parseIndustryRank(data):
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if type(data) == str:
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data = json.loads(data)
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if int(data["errcode"]) != 0:
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raise Exception(f"解析数据出错，errcode：{data['errcode']}")
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list_ = data["list"]
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fresult_ = []
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for d in list_:
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pdata = __parseIndustry_rank(d)
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if pdata:
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fresult_.append(pdata)
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return fresult_
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# 解析板块代码
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def parsePlateCodes(data):
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if type(data) == str:
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data = json.loads(data)
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if int(data["errcode"]) != 0:
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raise Exception(f"解析数据出错，errcode：{data['errcode']}")
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list_ = data["list"]
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fresult_ = []
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for d in list_:
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# (代码,名称,现价,涨幅,自由流通,几板，龙几，主力净额,300w净额,机构增仓)
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fresult_.append((d[0], d[1], d[5], d[6], d[10], d[23], d[24], d[13], d[50], d[42]))
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return fresult_
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# 解析概念中的板块强度
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def parseSonPlat(data):
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if type(data) == str:
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data = json.loads(data)
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if int(data["errcode"]) != 0:
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raise Exception(f"解析数据出错，errcode：{data['errcode']}")
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list_ = data["List"]
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fresult_ = []
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for d in list_:
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# (代码,名称,强度)
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fresult_.append((d[0], d[1], d[2]))
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return fresult_
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def __money_desc(money):
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if abs(money) > 100000000:
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return f"{round(money / 100000000, 2)}亿"
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else:
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return f"{round(money / 10000, 2)}万"
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def parseMarketIndustry(data):
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if type(data) == str:
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data = json.loads(data)
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if int(data["errcode"]) != 0:
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raise Exception(f"解析数据出错，errcode：{data['errcode']}")
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list_ = data["list"]
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fresult_ = []
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for d in list_:
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# (代码,名称,涨幅,主力净额)
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fresult_.append((d[0], d[1], d[3], d[6]))
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return fresult_
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def parseMarketJingXuan(data):
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if type(data) == str:
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data = json.loads(data)
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if int(data["errcode"]) != 0:
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raise Exception(f"解析数据出错，errcode：{data['errcode']}")
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list_ = data["list"]
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fresult_ = []
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for d in list_:
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# (代码,名称,强度,主力净额)
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fresult_.append((d[0], d[1], d[2], d[6]))
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return fresult_
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class KPLPlatManager:
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def save_plat(self, _id, name):
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if not _id:
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return
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mysqldb = mysql_data.Mysqldb()
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key = f"{_id}-{name}"
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results = mysqldb.select_one(f"select * from kpl_plate where _name='{name}'")
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if not results:
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mysqldb.execute(f"insert into kpl_plate(_id,_name,_key) values({_id},'{name}','{key}')")
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def get_plat(self, name):
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mysqldb = mysql_data.Mysqldb()
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results = mysqldb.select_one(f"select * from kpl_plate where _name='{name}'")
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if results:
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return results[0]
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return None
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def get_same_plat_names(self, name):
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mysqldb = mysql_data.Mysqldb()
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plate = self.get_plat(name)
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if not plate:
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return {name}
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results = mysqldb.select_all(f"select _name from kpl_plate where _id='{plate}'")
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return set([r[0] for r in results])
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def get_same_plat_names_by_id(self, id_):
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mysqldb = mysql_data.Mysqldb()
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results = mysqldb.select_all(f"select _name from kpl_plate where _id='{id_}'")
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return set([r[0] for r in results])
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# 获取高位板的数量
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def get_high_level_count(key):
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if key.find("连板") >= 0:
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# 形式如: 3连板
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return int(key.replace("连板", ""))
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elif key.find("天") >= 0 and key.find("板") >= 0:
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# 形式如：5天4板
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return int(key.split("天")[1].replace("板", ""))
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# 形式如：首板
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return 1
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# 获取实时涨停列表中的涨停原因
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def get_current_limit_up_reasons(item) -> set:
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b = {item[5]}
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if item[6]:
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b |= set(item[6].split("、"))
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return b
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# 获取目前的涨停原因
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def get_current_limit_up_reason(item) -> str:
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return item[5]
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def filter_block(block):
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if not block:
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return block
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return block.replace("概念", "")
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if __name__ == "__main__":
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print(get_high_level_count("首板"))
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print(get_high_level_count("5天4板"))
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print(get_high_level_count("2连板"))
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print(get_high_level_count("4连板"))
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