def url(self):
out = []
STOCK_LIST = None
if Handler.STOCK_LIST is not None:
STOCK_LIST = Handler.STOCK_LIST
else:
STOCK_LIST = setting.f_data_stocklist()
for code in STOCK_LIST:
url = encode_params(self.genParams(code))
url = base_url + url
out.append((url, code))
return out
import util
import util.utils
import const
from fake_spider import spider
import setting
MONGODB_ID = const.MONGODB_ID
ID_NAME = const.ZCFZ_KEYWORD.ID_NAME
DB_NAME = const.ZCFZ_KEYWORD.DB_NAME
COLLECTION_HEAD = const.ZCFZ_KEYWORD.COLLECTION_HEAD
KEY_NAME = const.ZCFZ_KEYWORD.KEY_NAME
NEED_TO_NUMBER = const.ZCFZ_KEYWORD.NEED_TO_NUMBER
DATA_SUB = const.ZCFZ_KEYWORD.DATA_SUB
NEED_TO_DECODE = const.ZCFZ_KEYWORD.NEED_TO_DECODE
STOCK_LIST = setting.f_data_stocklist()
# STOCK_LIST = ['000636']
KEY = 'var XbnsgnRv'
base_url = 'http://dcfm.eastmoney.com//em_mutisvcexpandinterface/api/js/get?'
headers = {
'Host': 'dcfm.eastmoney.com',
'Referer': 'http://data.eastmoney.com/bbsj/zcfz/000636.html',
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36',
}
class Handler(spider.FakeSpider):
def run():
stock_list = setting.f_data_stocklist()
out = pd.DataFrame()
out_remix = pd.DataFrame()
forecast_date = pd.DataFrame()
forecast_date_remix = pd.DataFrame()
for s in stock_list:
data_yjbg = query.query_yjbg.QueryTop(0, s)
data_zcfz = query.query_zcfz.QueryTop(0, s)
data_lrb = query.query_lrb.QueryTop(0, s)
data_extra = query.query_extra.QueryTop(0, s)
data_yysj = query.query_yysj.QueryTop(0, s)
select_yjbg = data_yjbg[[
"代码", "名称", "_id", "净资产收益率", "销售毛利率", "销售净利率", "assigndscrpt"
]]
if '应收账款增长率' in data_zcfz and '存货增长率' in data_zcfz:
select_zcfz = data_zcfz[['_id', '资产负债率', '应收账款增长率', '存货增长率']]
if '应收账款/总资产' in data_zcfz:
select_zcfz['应收账款/总资产'] = data_zcfz['应收账款/总资产']
if '存货/总资产' in data_zcfz:
select_zcfz['存货/总资产'] = data_zcfz['存货/总资产']
select_lrb = data_lrb[['_id', '归属母公司股东的净利润同比增长率(扣除非经常性损益)', '营业收入增长率']]
if '应收账款增长率/收入增长率' in data_extra and \
'存货增长率/收入增长率' in data_extra and \
'经营活动产生的现金流量净额/营业收入' in data_extra and \
'每股经营现金流量' in data_extra:
select_extra = data_extra[[
'_id', '应收账款增长率/收入增长率', '存货增长率/收入增长率', '经营活动产生的现金流量净额/营业收入',
'每股经营现金流量'
]]
select = pd.merge(select_yjbg, select_zcfz, on='_id')
select = pd.merge(select, select_lrb, on='_id')
select = pd.merge(select, select_extra, on='_id')
data_yysj['代码'] = s
name = query.query_stock_list.queryOne(s)['名称']
data_yysj['名称'] = name
if len(forecast_date.index) == 0:
forecast_date = data_yysj
else:
forecast_date = forecast_date.append(data_yysj)
if len(out.index) == 0:
out = select
else:
out = out.append(select)
out_remix["代码"] = out["代码"]
out_remix["名称"] = out["名称"]
out_remix['报告期'] = out['_id']
out_remix['净资产收益率'] = out['净资产收益率']
out_remix['资产负债率'] = out['资产负债率']
out_remix['销售毛利率'] = out['销售毛利率']
out_remix['销售净利率'] = out['销售净利率']
out_remix['应收账款/总资产'] = out['应收账款/总资产']
out_remix['存货/总资产'] = out['存货/总资产']
out_remix['归属母公司股东的净利润同比增长率(扣除非经常性损益)'] = \
out['归属母公司股东的净利润同比增长率(扣除非经常性损益)']
out_remix['营业收入增长率'] = out['营业收入增长率']
out_remix['应收账款增长率'] = out['应收账款增长率']
out_remix['存货增长率'] = out['存货增长率']
out_remix['应收账款增长率/收入增长率'] = out['应收账款增长率/收入增长率']
out_remix['存货增长率/收入增长率'] = out['存货增长率/收入增长率']
out_remix['经营活动产生的现金流量净额/营业收入'] = \
out['经营活动产生的现金流量净额/营业收入']
out_remix['每股经营现金流量'] = out['每股经营现金流量']
out_remix['利润分配'] = out['assigndscrpt']
df = pd.DataFrame(out_remix)
df.to_excel(setting.PATH + 'F_data_' + setting.F_data_stock_list_name +
'.xlsx',
index=False)
forecast_date_remix['代码'] = forecast_date['代码']
forecast_date_remix['名称'] = forecast_date['名称']
forecast_date_remix['报告期'] = forecast_date['_id']
forecast_date_remix['首次预约时间'] = forecast_date['首次预约时间']
forecast_date_remix['一次变更日期'] = forecast_date['一次变更日期']
forecast_date_remix['二次变更日期'] = forecast_date['二次变更日期']
forecast_date_remix['三次变更日期'] = forecast_date['三次变更日期']
forecast_date_remix.to_excel(setting.PATH + 'forecast_date_' +
setting.F_data_stock_list_name + '.xlsx',
index=False)
