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utilities.py
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2660 lines (2391 loc) · 124 KB
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# -*- coding: gbk -*-
import pandas as pd
import os
import openpyxl as ox
import re
import xlrd
import numpy as np
import shutil
def cut_cross_fut(cross_fut, prop=None):
columns = ['long', 'long_amount', 'short', 'short_amount', 'property', 'long_contract', 'short_contract']
trans = pd.DataFrame({},columns=columns)
if cross_fut in [0,"0","","0.0",0.0] or cross_fut==None:
return trans
cross_fut = str(cross_fut).upper().replace(' ','').replace('\n','')
print cross_fut
tag = 0
for item in cross_fut.split(';'):
l = item.split('-')
print l
if len(l)>2 or l==['']:
print "cross future record type error"
continue
elif l[0]=='':
m=['',0]
n=l[1].split('*')
tag = 1
print m
print n
# trans.append(['',0,m[0][:2],float(m[1]),1])
elif len(l)==1:
m=l[0].split('*')
n=['',0]
tag = 1
# trans.append([m[0][:2],float(m[1]),'',0,1])
else:
m=l[0].split('*')
n=l[1].split('*')
tag = 3 if m[0]==n[0] else 2
if prop:
tag = prop
if tag==4:
m[1]=float(m[1])*(-1)
trans = trans.append(pd.DataFrame([[m[0][:2],float(m[1]),n[0][:2],float(n[1]),tag,m[0],n[0]]], columns=columns))
print m
print n
print tag
print trans
return trans
def find_type(x):
try:
int(x)
except:
return 0
return 1
def standard_csv_direction(uc):
for standard_buy in [u"多",u"买","long","buy"]:
if standard_buy in uc:
return "buy"
for standard_sell in [u"空",u"卖","short","sell" ,u"少"]:
if standard_sell in uc:
return "sell"
def check_dataframe(df): #delete all the unexpected signs
replace_list = ['=', '"']
for y in replace_list:
df.columns = [x.replace(y,'') for x in df.columns]
for x in df.columns:
for y in replace_list:
if df[x].dtype in (str,object):
df[x] = df[x].str.replace(y,'')
return df
def distinguish_commission_type(id): # 计算股票交易手续费的时候判断货币基金，回购和正常股票的差别
id = str(id)
pattern = re.compile(r'\b159[0-9]{1,3}')
pattern1 = re.compile(r'\b511[0-9]{1,3}')
l = len(pattern.findall(id)) + len(pattern1.findall(id))
if l>0: return 0
pattern = re.compile(r'\b150[0-9]{1,3}')
l = len(pattern.findall(id))
if l > 0: return 0.5
pattern = re.compile(r'\b131[0-9]{3}')
pattern1 = re.compile(r'\b204[0-9]{3}')
l = len(pattern.findall(id)) + len(pattern1.findall(id))
if l>0:return 0.7
return 1
def extract_strategy_type(filename):
pattern = re.compile(r'\$(.{1,})\$')
return pattern.findall(filename)
def remove_pre_delivery_month(target_name, dm):
target_name = str(target_name)
pattern = re.compile(r'[A-Z]{2}([0-9]{4})\*')
month_list = pattern.findall(target_name)
for month in set(month_list):
if month not in dm["delivery"].values and month in dm["pre_delivery"].values:
pattern = re.compile('-?[A-Z]{2}'+month+'\*[0-9]{1,}')
return pattern.sub('',target_name)
return target_name
def set_contract_name(id):
if id[2:4] == '00':
return 'current'
if id[2:4] == '01':
return 'following'
if id[2:4] == '02':
return 'season'
if id[2:4] == '03':
return 'nextseason'
def classify_holding_type(holding_df, date):
holding_df['str_id'] = holding_df['Id'].apply(lambda x: '0' * (6 - len(str(x))) + str(x))
holding_df['H'] = holding_df['str_id'].apply(lambda x: 1 if x[:2:] == '60' else 0)
holding_df['S'] = holding_df['str_id'].apply(lambda x: 1 if (x[:3:] == '000') or (x[:3:] == '002') or (x[:3:] == '300') else 0)
df1 = pd.read_csv(r'\\SHIMING\update_file_auto\data_download\sh50\{}.csv'.format(date))
df1['id'] = df1['coid'].apply(lambda x: int(x.split('.')[0]))
coid_list1 = list(df1['id'])
holding_df['sh50'] = holding_df['Id'].apply(lambda x: 1 if x in coid_list1 else 0)
df1 = pd.read_csv(r'\\SHIMING\update_file_auto\data_download\hs300\{}.csv'.format(date))
df1['id'] = df1['coid'].apply(lambda x: int(x.split('.')[0]))
coid_list1 = list(df1['id'])
holding_df['hs300'] = holding_df['Id'].apply(lambda x: 1 if x in coid_list1 else 0)
df1 = pd.read_csv(r'\\SHIMING\update_file_auto\data_download\csi500\{}.csv'.format(date))
df1['id'] = df1['coid'].apply(lambda x: int(x.split('.')[0]))
coid_list1 = list(df1['id'])
holding_df['csi500'] = holding_df['Id'].apply(lambda x: 1 if x in coid_list1 else 0)
return holding_df
# 放在哪里都不是很妥
def download_xuntou():
print '*****begin download xuntou*****'
os.chdir('//shiming/accounts/CSVDownloader')
os.system('python Downloader.py')
def download_ctp():
print '*****begin download CTP*****'
os.chdir('//shiming/accounts/CSVDownloader/CTPAPI_V0.95')
os.system('python Trader.py')
def update_summary_type1(wb, sheet_accounts_num, sheet_ret_num, l1, l2, l3):
sheet_summary = wb['summary']
sheet_accounts = wb['accounts']
sheet_ret = wb['ret_dc']
l1 = str(l1)
l2 = str(l2)
l3 = str(l3)
sheet_summary['A' + l1] = '=accounts!A' + sheet_accounts_num
sheet_summary['B' + l1] = '=accounts!B' + sheet_accounts_num
sheet_summary['C' + l1] = '=accounts!G' + sheet_accounts_num
sheet_summary['D' + l1] = '=accounts!H' + sheet_accounts_num
sheet_summary['E' + l1] = '=accounts!I' + sheet_accounts_num
sheet_summary['F' + l1] = '=accounts!J' + sheet_accounts_num
sheet_summary['G' + l1] = '=accounts!K' + sheet_accounts_num
sheet_summary['H' + l1] = '=accounts!F' + sheet_accounts_num
sheet_summary['I' + l1] = '=accounts!M' + sheet_accounts_num
sheet_summary['J' + l1] = '=accounts!N' + sheet_accounts_num
sheet_summary['K' + l1] = '=accounts!O' + sheet_accounts_num
sheet_summary['L' + l1] = '=accounts!P' + sheet_accounts_num
sheet_summary['M' + l1] = '=accounts!Q' + sheet_accounts_num
sheet_summary['N' + l1] = '=accounts!R' + sheet_accounts_num
sheet_summary['O' + l1] = '=accounts!S' + sheet_accounts_num
sheet_summary['P' + l1] = '=accounts!U' + sheet_accounts_num
sheet_summary['Q' + l1] = '=accounts!AT' + sheet_accounts_num
sheet_summary['R' + l1] = '=accounts!AS' + sheet_accounts_num
sheet_summary['S' + l1] = '=accounts!AU' + sheet_accounts_num
sheet_summary['T' + l1] = '=accounts!AX' + sheet_accounts_num
sheet_summary['U' + l1] = '=accounts!BA' + sheet_accounts_num
sheet_summary['V' + l1] = '=accounts!BB' + sheet_accounts_num
sheet_summary['W' + l1] = '=ret_dc!B' + sheet_ret_num
sheet_summary['X' + l1] = '=accounts!W' + sheet_accounts_num
sheet_summary['Y' + l1] = '=accounts!X' + sheet_accounts_num
sheet_summary['Z' + l1] = '=accounts!Y' + sheet_accounts_num
sheet_summary['AA' + l1] = '=accounts!Z' + sheet_accounts_num
sheet_summary['AB' + l1] = '=accounts!AA' + sheet_accounts_num
sheet_summary['AC' + l1] = '=accounts!AD' + sheet_accounts_num
sheet_summary['A' + l2] = '=ret_dc!A' + sheet_ret_num
sheet_summary['B' + l2] = '=ret_dc!U' + sheet_ret_num
sheet_summary['C' + l2] = '=ret_dc!V' + sheet_ret_num
sheet_summary['D' + l2] = '=ret_dc!W' + sheet_ret_num
sheet_summary['E' + l2] = '=ret_dc!X' + sheet_ret_num
sheet_summary['F' + l2] = '=ret_dc!Y' + sheet_ret_num
sheet_summary['G' + l2] = '=ret_dc!Z' + sheet_ret_num
sheet_summary['H' + l2] = '=ret_dc!AA' + sheet_ret_num
sheet_summary['I' + l2] = '=ret_dc!AB' + sheet_ret_num
sheet_summary['J' + l2] = '=ret_dc!AC' + sheet_ret_num
sheet_summary['K' + l2] = '=ret_dc!AD' + sheet_ret_num
sheet_summary['L' + l2] = '=ret_dc!AE' + sheet_ret_num
sheet_summary['M' + l2] = '=ret_dc!AF' + sheet_ret_num
sheet_summary['N' + l2] = '=ret_dc!AG' + sheet_ret_num
sheet_summary['O' + l2] = '=ret_dc!AH' + sheet_ret_num
sheet_summary['P' + l2] = '=ret_dc!AI' + sheet_ret_num
sheet_summary['Q' + l2] = '=ret_dc!AJ' + sheet_ret_num
sheet_summary['R' + l2] = '=ret_dc!AK' + sheet_ret_num
sheet_summary['S' + l2] = '=ret_dc!AL' + sheet_ret_num
sheet_summary['T' + l2] = '=ret_dc!AM' + sheet_ret_num
sheet_summary['U' + l2] = '=ret_dc!AN' + sheet_ret_num
sheet_summary['V' + l2] = '=ret_dc!AO' + sheet_ret_num
sheet_summary['W' + l2] = '=ret_dc!AP' + sheet_ret_num
sheet_summary['X' + l2] = '=ret_dc!AQ' + sheet_ret_num
sheet_summary['Y' + l2] = '=ret_dc!AR' + sheet_ret_num
sheet_summary['Z' + l2] = '=ret_dc!AS' + sheet_ret_num
sheet_summary['AA' + l2] = '=ret_dc!AT' + sheet_ret_num
sheet_summary['AB' + l2] = '=ret_dc!AU' + sheet_ret_num
sheet_summary['AC' + l2] = '=accounts!BD' + sheet_accounts_num
sheet_summary['AD' + l2] = '=accounts!BE' + sheet_accounts_num
sheet_summary['AE' + l2] = '=accounts!BF' + sheet_accounts_num
sheet_summary['AF' + l2] = '=accounts!BG' + sheet_accounts_num
sheet_summary['AG' + l2] = '=accounts!BH' + sheet_accounts_num
sheet_summary['A' + l3] = '=ret_dc!A' + sheet_ret_num
sheet_summary['B' + l3] = '=ret_dc!B' + sheet_ret_num
sheet_summary['C' + l3] = '=ret_dc!C' + sheet_ret_num
sheet_summary['D' + l3] = '=ret_dc!D' + sheet_ret_num
sheet_summary['E' + l3] = '=ret_dc!E' + sheet_ret_num
sheet_summary['F' + l3] = '=ret_dc!F' + sheet_ret_num
sheet_summary['G' + l3] = '=ret_dc!H' + sheet_ret_num
sheet_summary['H' + l3] = '=ret_dc!I' + sheet_ret_num
sheet_summary['I' + l3] = '=ret_dc!O' + sheet_ret_num + '+ret_dc!P' + sheet_ret_num
sheet_summary['J' + l3] = '=ret_dc!Q' + sheet_ret_num
sheet_summary['K' + l3] = '=ret_dc!R' + sheet_ret_num
sheet_summary['L' + l3] = '=ret_dc!S' + sheet_ret_num
sheet_summary['M' + l3] = '=ret_dc!T' + sheet_ret_num
def update_summary_type2(wb, sheet_accounts_num, sheet_ret_num, yesterday, date):
sheet_summary = wb['summary']
sheet_accounts = wb['accounts']
sheet_ret = wb['ret_dc']
i = 10
while 1:
i = i + 1
if (sheet_summary["A" + str(i)].value == yesterday):
break
l = str(i + 1)
sheet_summary['A' + l] = date
sheet_summary['G' + l] = '=accounts!K' + sheet_accounts_num
sheet_summary['M' + l] = '=accounts!R' + sheet_accounts_num
sheet_summary['N' + l] = '=accounts!S' + sheet_accounts_num
sheet_summary['O' + l] = '=accounts!U' + sheet_accounts_num
sheet_summary['P' + l] = '=accounts!AU' + sheet_accounts_num
sheet_summary['Q' + l] = '=accounts!AT' + sheet_accounts_num
sheet_summary['R' + l] = '=accounts!AZ' + sheet_accounts_num
sheet_summary['AB' + l] = '=accounts!AX' + sheet_accounts_num
sheet_summary['AC' + l] = '=accounts!BA' + sheet_accounts_num
sheet_summary['AD' + l] = '=accounts!BB' + sheet_accounts_num
def update_yangyang_index(date):
root_path = r"//shiming/accounts/python/common_data"
file = r'future_wind.csv'
future_df = pd.read_csv(r'{}/{}'.format(root_path, file))
future = pd.read_csv(r'{}/{}'.format(root_path, file))
future_df = future_df[future_df['date'] == date]
df = pd.read_csv(r'{}/{}'.format('//shiming/accounts/Dividend Prediction', 'wind_future.csv'))
dd = df
columns = ['date', 'type1', 'target1', 'type2', 'target2', 'type3', 'target3']
df1 = pd.DataFrame(np.random.randn(1, 7), index=[0], columns=columns)
d1 = future_df[future_df['type'] == 'IH']
e1 = d1.iloc[0, 5]
d2 = future_df[future_df['type'] == 'IC']
e2 = d2.iloc[0, 5]
d3 = future_df[future_df['type'] == 'IF']
e3 = d3.iloc[0, 5]
r = d1.iloc[0, 7]
df1.iloc[0, 0] = r
df1.iloc[0, 1] = 'IH'
df1.iloc[0, 2] = e1
df1.iloc[0, 3] = 'IC'
df1.iloc[0, 4] = e2
df1.iloc[0, 5] = 'IF'
df1.iloc[0, 6] = e3
df = pd.concat([df, df1])
if date not in dd['date'].values:
df.to_csv(r'{}/{}'.format('//shiming/accounts/Dividend Prediction', 'wind_future.csv'), encoding='gbk', index=False)
def copy_to_account(id, date):
accounts_path = r'\\SHIMING\accounts\accounts-{}\{}'.format(id, date)
python_path = r'\\SHIMING\accounts\python\YZJ\accounts\accounts-{}\{}'.format(id, date)
try:
shutil.rmtree(accounts_path)
except:
pass
if not os.path.exists(accounts_path):
shutil.copytree(python_path, accounts_path)
def update_assessReport_0(product_id, assessreport_path, date):
folder_list = list(os.walk(assessreport_path))[0][1]
f_list = []
d_list = []
for item in folder_list:
pattern = re.compile(ur'鸣石.*')
if len(pattern.findall(item)) != 0:
if len(item.split(u'化 ')) > 1:
if item.split(u'化 ')[1] == '0309':
continue
f_list = f_list + [item]
if item.split(u'化 ')[1][0:4] != '2016':
d_list = d_list + [int('2016' + item.split(u'化 ')[1])]
else:
d_list = d_list + [int(item.split(u'化 ')[1])]
if len(item.split(u'石0')) > 1:
f_list = f_list + [item]
if item.split(u'石')[1][0:4] != '2016':
d_list = d_list + [int('2016' + item.split(u'石')[1])]
else:
d_list = d_list + [int(item.split(u'石')[1])]
date_dict = dict(zip(d_list, f_list))
date_dict = sorted(date_dict.iteritems(), key = lambda x: x[0], reverse=False)
print date_dict
wb = ox.load_workbook(u'//SHIMING/accounts/python/YZJ/accounts/accounts-{}/{}/accounts.xlsx'.format(product_id, date))
sheet_assessReport = wb["assessReport"]
sheet_accounts = wb['accounts']
i = 3
while 1:
i = i + 1
if not sheet_assessReport["A" + str(i)].value:
break
l = str(i)
last_date = sheet_assessReport["A" + str(i - 1)].value
last_date = last_date.replace('/', '')
last_date = int(last_date)
for key, item in date_dict:
print key
print item
if (key > last_date) and (key <= int(date.replace('/',''))):
assessReport_wb = xlrd.open_workbook(ur'{}/{}/3C0085委托资产资产估值表.xls'.format(assessreport_path, item))
sheet1 = assessReport_wb.sheet_by_name('Sheet1')
DATE = str(key)[:4] + '/' + str(key)[4:6] + '/' + str(key)[6:8]
sheet_assessReport['A' + l] = DATE
if u'上海活期存款' in sheet1.col_values(1):
index = sheet1.col_values(1).index(u'上海活期存款')
sheet_assessReport['B' + l] = sheet1.cell(index, 7).value
else:
sheet_assessReport['B' + l] = 0
sheet_assessReport['C' + l] = '=D' + l + '+E' + l
index = sheet1.col_values(1).index(u'清算备付金')
sheet_assessReport['D' + l] = sheet1.cell(index, 7).value
if u'存出保证金' in sheet1.col_values(1):
index = sheet1.col_values(1).index(u'存出保证金')
sheet_assessReport['E' + l] = sheet1.cell(index, 7).value
else:
sheet_assessReport['E' + l] = 0
index = sheet1.col_values(0).index(u'证券投资合计')
sheet_assessReport['F' + l] = sheet1.cell(index, 7).value
if u'其中股票投资' in sheet1.col_values(0):
index = sheet1.col_values(0).index(u'其中股票投资')
sheet_assessReport['G' + l] = sheet1.cell(index, 7).value
else:
sheet_assessReport['G' + l] = 0
index = sheet1.col_values(0).index(u'其中基金投资')
sheet_assessReport['H' + l] = sheet1.cell(index, 7).value
if u'买入返售金额资产' in sheet1.col_values(1):
index = sheet1.col_values(1).index(u'买入返售金额资产')
sheet_assessReport['I' + l] = sheet1.cell(index, 7).value
else:
sheet_assessReport['I' + l] = 0
if u'证券资金户' in sheet1.col_values(1):
index = sheet1.col_values(1).index(u'证券资金户')
sheet_assessReport['J' + l] = sheet1.cell(index, 7).value
else:
sheet_assessReport['J' + l] = 0
if u'理财产品' in sheet1.col_values(1):
index = sheet1.col_values(1).index(u'理财产品')
sheet_assessReport['K' + l] = sheet1.cell(index, 7).value
else:
sheet_assessReport['K' + l] = 0
index = sheet1.col_values(1).index(u'应付托管费')
sheet_assessReport['L' + l] = sheet1.cell(index, 7).value
if u'投资顾问费' in sheet1.col_values(1):
index = sheet1.col_values(1).index(u'投资顾问费')
sheet_assessReport['M' + l] = sheet1.cell(index, 7).value
else:
sheet_assessReport['M' + l] = 0
if u'应付管理人报酬' in sheet1.col_values(1):
index = sheet1.col_values(1).index(u'应付管理人报酬')
sheet_assessReport['N' + l] = sheet1.cell(index, 7).value
else:
sheet_assessReport['N' + l] = 0
if u'应收利息' in sheet1.col_values(1):
index = sheet1.col_values(1).index(u'应收利息')
sheet_assessReport['AS' + l] = sheet1.cell(index, 7).value
else:
sheet_assessReport['AS' + l] = 0
if u'应付赎回款' in sheet1.col_values(1):
index = sheet1.col_values(1).index(u'应付赎回款')
sheet_assessReport['AT' + l] = sheet1.cell(index, 7).value
else:
sheet_assessReport['AT' + l] = 0
index = sheet1.col_values(0).index(u'今日单位净值：')
sheet_assessReport['O' + l] = sheet1.cell(index, 1).value
if u'资产资产净值：' in sheet1.col_values(0):
index = sheet1.col_values(0).index(u'资产资产净值：')
sheet_assessReport['P' + l] = sheet1.cell(index, 7).value
else:
sheet_assessReport['P' + l] = 0
index = sheet1.col_values(0).index(u'实收资本')
sheet_assessReport['Q' + l] = sheet1.cell(index, 7).value
print DATE
i = 2;
while 1:
i = i + 1
if (sheet_accounts["A" + str(i)].value == DATE):
break;
accounts_num = str(i)
print accounts_num
sheet_assessReport['R' + l] = '=accounts!M' + accounts_num
sheet_assessReport['S' + l] = '=accounts!L' + accounts_num
sheet_assessReport['T' + l] = '=accounts!B' + accounts_num
sheet_assessReport['U' + l] = '=accounts!G' + accounts_num
sheet_assessReport['V' + l] = '=accounts!I' + accounts_num
sheet_assessReport['W' + l] = '=accounts!H' + accounts_num
sheet_assessReport['X' + l] = '=accounts!F' + accounts_num
sheet_assessReport['Y' + l] = 0
sheet_assessReport['Z' + l] = 0
sheet_assessReport['AA' + l] = 0
sheet_assessReport['AB' + l] = 0
sheet_assessReport['AC' + l] = 0
sheet_assessReport['AD' + l] = 0
sheet_assessReport['AE' + l] = '=accounts!AL' + accounts_num
sheet_assessReport['AF' + l] = '=accounts!AM' + accounts_num
sheet_assessReport['AG' + l] = '=accounts!AK' + accounts_num
sheet_assessReport['AH' + l] = '=accounts!AP' + accounts_num
sheet_assessReport['AI' + l] = '=accounts!U' + accounts_num
sheet_assessReport['AJ' + l] = '=F' + l + '-S' + l
sheet_assessReport['AK' + l] = '=C' + l + '-R' + l
sheet_assessReport['AL' + l] = '=AJ' + l + '+AK' + l
sheet_assessReport['AM' + l] = 0
sheet_assessReport['AN' + l] = 0
sheet_assessReport['AO' + l] = 0
sheet_assessReport['AP' + l] = 0
sheet_assessReport['AQ' + l] = '=O' + l + '-AI' + l
last_date = key
l = str(int(l) + 1)
wb.save(u'//SHIMING/accounts/python/YZJ/accounts/accounts-{}/{}/accounts.xlsx'.format(product_id, date))
def update_assessReport_2(product_id, assessreport_path, date):
file_list = list(os.walk(assessreport_path))[0][2]
dir_list = list(os.walk(assessreport_path))[0][1]
f_list = []
for item in file_list:
pattern = re.compile(ur'证券投资基金估值表_鸣石投资量化2期证券投资基金_.*')
if len(pattern.findall(item)) != 0:
f_list = f_list + [item]
d_list = []
for item in f_list:
d = item.split('_')[-1].split('.')[0]
d_list = d_list + [int(d.replace('-',''))]
for item in dir_list:
pattern = re.compile(ur'鸣石估值表')
if len(pattern.findall(item)) != 0:
name = list(os.walk(u'{}/{}'.format(assessreport_path, item)))[0][2][0]
if int(name.split('.')[0].split('_')[-1].replace('-', '')) not in d_list:
f_list = f_list + [u'{}/{}'.format(item, name)]
d_list = d_list + [int(name.split('.')[0].split('_')[-1].replace('-', ''))]
print f_list
print d_list
date_dict = dict(zip(d_list, f_list))
date_dict = sorted(date_dict.iteritems(), key = lambda x: x[0], reverse=False)
wb = ox.load_workbook(u'//SHIMING/accounts/python/YZJ/accounts/accounts-{}/{}/accounts.xlsx'.format(product_id, date))
sheet_assessReport = wb["assessReport"]
sheet_accounts = wb['accounts']
i = 3
while 1:
i = i + 1
if not sheet_assessReport["A" + str(i)].value:
break
l = str(i)
last_date = sheet_assessReport["A" + str(i - 1)].value
last_date = last_date.replace('/', '')
last_date = int(last_date)
for key, item in date_dict:
print key
print item
if (key > last_date) and (key <= int(date.replace('/', ''))):
assessReport_wb = xlrd.open_workbook(ur'{}/{}'.format(assessreport_path, item))
sheet1 = assessReport_wb.sheet_by_name('Sheet1')
DATE = str(key)[:4] + '/' + str(key)[4:6] + '/' + str(key)[6:8]
sheet_assessReport['A' + l] = DATE
if u'银行存款' in sheet1.col_values(1):
index = sheet1.col_values(1).index(u'银行存款')
sheet_assessReport['B' + l] = sheet1.cell(index, 7).value
else:
sheet_assessReport['B' + l] = 0
sheet_assessReport['C' + l] = '=D' + l + '+E' + l
index = sheet1.col_values(1).index(u'期货清算备付金')
sheet_assessReport['D' + l] = sheet1.cell(index, 7).value
if u'存出保证金' in sheet1.col_values(1):
index = sheet1.col_values(1).index(u'存出保证金')
sheet_assessReport['E' + l] = sheet1.cell(index, 7).value
else:
sheet_assessReport['E' + l] = 0
index = sheet1.col_values(0).index(u'证券投资合计:')
sheet_assessReport['F' + l] = sheet1.cell(index, 7).value
index = sheet1.col_values(0).index(u'其中股票投资:')
sheet_assessReport['G' + l] = sheet1.cell(index, 7).value
index = sheet1.col_values(0).index(u'其中基金投资:')
sheet_assessReport['H' + l] = sheet1.cell(index, 7).value
if u'买入返售金额资产' in sheet1.col_values(1):
index = sheet1.col_values(1).index(u'买入返售金额资产')
sheet_assessReport['I' + l] = sheet1.cell(index, 7).value
else:
sheet_assessReport['I' + l] = 0
if u'证券资金账户' in sheet1.col_values(1):
index = sheet1.col_values(1).index(u'证券资金账户')
sheet_assessReport['J' + l] = sheet1.cell(index, 7).value
else:
sheet_assessReport['J' + l] = 0
if u'理财产品' in sheet1.col_values(1):
index = sheet1.col_values(1).index(u'理财产品')
sheet_assessReport['K' + l] = sheet1.cell(index, 7).value
else:
sheet_assessReport['K' + l] = 0
index = sheet1.col_values(1).index(u'应付托管费')
sheet_assessReport['L' + l] = sheet1.cell(index, 7).value
if u'应付投资顾问费' in sheet1.col_values(1):
index = sheet1.col_values(1).index(u'应付投资顾问费')
sheet_assessReport['M' + l] = sheet1.cell(index, 7).value
else:
sheet_assessReport['M' + l] = 0
if u'应付管理人报酬' in sheet1.col_values(1):
index = sheet1.col_values(1).index(u'应付管理人报酬')
sheet_assessReport['N' + l] = sheet1.cell(index, 7).value
else:
sheet_assessReport['N' + l] = 0
index = sheet1.col_values(0).index(u'今日单位净值：')
sheet_assessReport['O' + l] = sheet1.cell(index, 1).value
if u'基金资产净值:' in sheet1.col_values(0):
index = sheet1.col_values(0).index(u'基金资产净值:')
sheet_assessReport['P' + l] = sheet1.cell(index, 7).value
else:
sheet_assessReport['P' + l] = 0
index = sheet1.col_values(0).index(u'实收资本')
sheet_assessReport['Q' + l] = sheet1.cell(index, 7).value
print DATE
i = 2;
while 1:
i = i + 1
if (sheet_accounts["A" + str(i)].value == DATE):
break;
accounts_num = str(i)
print accounts_num
sheet_assessReport['R' + l] = '=accounts!M' + accounts_num
sheet_assessReport['S' + l] = '=accounts!L' + accounts_num
sheet_assessReport['T' + l] = '=accounts!B' + accounts_num
sheet_assessReport['U' + l] = '=accounts!G' + accounts_num
sheet_assessReport['V' + l] = '=accounts!I' + accounts_num
sheet_assessReport['W' + l] = '=accounts!H' + accounts_num
sheet_assessReport['X' + l] = '=accounts!F' + accounts_num
sheet_assessReport['Y' + l] = 0
sheet_assessReport['Z' + l] = 0
sheet_assessReport['AA' + l] = 0
sheet_assessReport['AB' + l] = 0
sheet_assessReport['AC' + l] = 0
sheet_assessReport['AD' + l] = 0
sheet_assessReport['AE' + l] = '=accounts!AL' + accounts_num
sheet_assessReport['AF' + l] = '=accounts!AM' + accounts_num
sheet_assessReport['AG' + l] = '=accounts!AK' + accounts_num
sheet_assessReport['AH' + l] = '=accounts!AP' + accounts_num
sheet_assessReport['AI' + l] = '=accounts!U' + accounts_num
sheet_assessReport['AJ' + l] = '=F' + l + '-S' + l
sheet_assessReport['AK' + l] = '=C' + l + '-R' + l
sheet_assessReport['AL' + l] = '=AJ' + l + '+AK' + l
sheet_assessReport['AM' + l] = 0
sheet_assessReport['AN' + l] = 0
sheet_assessReport['AO' + l] = 0
sheet_assessReport['AP' + l] = 0
sheet_assessReport['AQ' + l] = '=O' + l + '-AI' + l
last_date = key
l = str(int(l) + 1)
wb.save(u'//SHIMING/accounts/python/YZJ/accounts/accounts-{}/{}/accounts.xlsx'.format(product_id, date))
# def update_assessReport_7(product_id, assessreport_path, date):
# file_list = list(os.walk(assessreport_path))[0][2]
# dir_list = list(os.walk(assessreport_path))[0][1]
# f_list = []
# k_list = []
# for item in file_list:
# pattern = re.compile(ur'.*.xls')
# if len(pattern.findall(item)) != 0:
# f_list = f_list + [item]
# k_list = k_list + [item]
# for item in dir_list:
# pattern = re.compile(ur'鸣石[0-9]{4}')
# if len(pattern.findall(item)) != 0:
# ff_list = list(os.walk(ur'{}/{}'.format(assessreport_path, item)))[0][2]
# for ite in ff_list:
# pattern = re.compile(ur'证券投资基金估值表_银河资本鸣石量化7号_.*')
# if len(pattern.findall(ite)) != 0:
# f_list = f_list + [ite]
# k_list = k_list + [ur'{}/{}'.format(item, ite)]
# d_list = []
# print f_list
#
# for item in f_list:
# d = item.split('_')[-1].split('.')[0]
# d_list = d_list + [int(d.replace('-', ''))]
# print d_list
# date_dict = dict(zip(d_list, k_list))
# date_dict = sorted(date_dict.iteritems(), key=lambda x: x[0], reverse=False)
# print date_dict
#
# wb = ox.load_workbook(u'//SHIMING/accounts/python/YZJ/accounts/accounts-{}/{}/accounts.xlsx'.format(product_id, date))
# sheet_assessReport = wb["assessReport"]
# sheet_accounts = wb['accounts']
# i = 3
# while 1:
# i = i + 1
# if not sheet_assessReport["A" + str(i)].value:
# break
# l = str(i)
# last_date = sheet_assessReport["A" + str(i - 1)].value
# last_date = last_date.replace('/', '')
# last_date = int(last_date)
# for key, item in date_dict:
# print key
# print item
# if (key > last_date) and (key <= int(date.replace('/', ''))):
# assessReport_wb = xlrd.open_workbook(ur'{}/{}'.format(assessreport_path, item))
# sheet1 = assessReport_wb.sheet_by_name('Sheet1')
# DATE = str(key)[:4] + '/' + str(key)[4:6] + '/' + str(key)[6:8]
# sheet_assessReport['A' + l] = DATE
# if u'活期存款' in sheet1.col_values(1):
# index = sheet1.col_values(1).index(u'活期存款')
# sheet_assessReport['B' + l] = sheet1.cell(index, 7).value
# else:
# sheet_assessReport['B' + l] = 0
# sheet_assessReport['C' + l] = '=D' + l + '+E' + l
# index = sheet1.col_values(1).index(u'清算备付金')
# sheet_assessReport['D' + l] = sheet1.cell(index, 7).value
# if u'存出保证金' in sheet1.col_values(1):
# index = sheet1.col_values(1).index(u'存出保证金')
# sheet_assessReport['E' + l] = sheet1.cell(index, 7).value
# else:
# sheet_assessReport['E' + l] = 0
# index = sheet1.col_values(0).index(u'证券投资合计:')
# sheet_assessReport['F' + l] = sheet1.cell(index, 7).value
#
# index = sheet1.col_values(0).index(u'其中股票投资:')
# sheet_assessReport['G' + l] = sheet1.cell(index, 7).value
# index = sheet1.col_values(0).index(u'其中基金投资:')
# sheet_assessReport['H' + l] = sheet1.cell(index, 7).value
# if u'买入返售金额资产' in sheet1.col_values(1):
# index = sheet1.col_values(1).index(u'买入返售金额资产')
# sheet_assessReport['I' + l] = sheet1.cell(index, 7).value
# else:
# sheet_assessReport['I' + l] = 0
#
# if u'三方存款账户' in sheet1.col_values(1):
# index = sheet1.col_values(1).index(u'三方存款账户')
# sheet_assessReport['J' + l] = sheet1.cell(index, 7).value
# else:
# sheet_assessReport['J' + l] = 0
#
# if u'理财产品' in sheet1.col_values(1):
# index = sheet1.col_values(1).index(u'理财产品')
# sheet_assessReport['K' + l] = sheet1.cell(index, 7).value
# else:
# sheet_assessReport['K' + l] = 0
#
# index = sheet1.col_values(1).index(u'应付托管费')
# sheet_assessReport['L' + l] = sheet1.cell(index, 7).value
# if u'应付投资顾问费' in sheet1.col_values(1):
# index = sheet1.col_values(1).index(u'应付投资顾问费')
# sheet_assessReport['M' + l] = sheet1.cell(index, 7).value
# else:
# sheet_assessReport['M' + l] = 0
# if u'应付管理人报酬' in sheet1.col_values(1):
# index = sheet1.col_values(1).index(u'应付管理人报酬')
# sheet_assessReport['N' + l] = sheet1.cell(index, 7).value
# else:
# sheet_assessReport['N' + l] = 0
# index = sheet1.col_values(0).index(u'基金单位净值：')
# sheet_assessReport['O' + l] = sheet1.cell(index, 1).value
#
# if u'基金资产净值:' in sheet1.col_values(0):
# index = sheet1.col_values(0).index(u'基金资产净值:')
# sheet_assessReport['P' + l] = sheet1.cell(index, 7).value
# else:
# sheet_assessReport['P' + l] = 0
#
# index = sheet1.col_values(0).index(u'实收资本')
# sheet_assessReport['Q' + l] = sheet1.cell(index, 7).value
#
# print DATE
# i = 2;
# while 1:
# i = i + 1
# if (sheet_accounts["A" + str(i)].value == DATE):
# break;
#
# accounts_num = str(i)
# print accounts_num
#
# sheet_assessReport['R' + l] = '=accounts!M' + accounts_num
#
# sheet_assessReport['S' + l] = '=accounts!L' + accounts_num
# sheet_assessReport['T' + l] = '=accounts!B' + accounts_num
# sheet_assessReport['U' + l] = '=accounts!G' + accounts_num
# sheet_assessReport['V' + l] = '=accounts!I' + accounts_num
# sheet_assessReport['W' + l] = '=accounts!H' + accounts_num
# sheet_assessReport['X' + l] = '=accounts!F' + accounts_num
# sheet_assessReport['Y' + l] = 0
# sheet_assessReport['Z' + l] = 0
# sheet_assessReport['AA' + l] = 0
# sheet_assessReport['AB' + l] = 0
# sheet_assessReport['AC' + l] = 0
# sheet_assessReport['AD' + l] = 0
# sheet_assessReport['AE' + l] = '=accounts!AL' + accounts_num
# sheet_assessReport['AF' + l] = '=accounts!AM' + accounts_num
# sheet_assessReport['AG' + l] = '=accounts!AK' + accounts_num
#
# sheet_assessReport['AH' + l] = '=accounts!AP' + accounts_num
#
# sheet_assessReport['AI' + l] = '=accounts!U' + accounts_num
# sheet_assessReport['AJ' + l] = '=F' + l + '-S' + l
# sheet_assessReport['AK' + l] = '=C' + l + '-R' + l
# sheet_assessReport['AL' + l] = '=AJ' + l + '+AK' + l
# sheet_assessReport['AM' + l] = 0
# sheet_assessReport['AN' + l] = 0
# sheet_assessReport['AO' + l] = 0
# sheet_assessReport['AP' + l] = 0
# sheet_assessReport['AQ' + l] = '=AL' + l + '+AM' + l
# if key >= 20160628:
# input_path = "{}/{}/{}".format("//shiming/accounts/CSVDownloader/Download/XT7", str(key)[4:8], 'asset_l.csv')
# asset = pd.read_csv(input_path, encoding='gbk') # , usecols=asset_columns
# print asset
# sheet_assessReport['Z' + l] = asset.loc[0, u'总资产']
#
# trade_day_list = list(pd.read_csv('//SHIMING/accounts/python/trading_day_list.csv', names=None).iloc[:, 0])
# ddate = str(key)[:4] + '-' + str(key)[4:6] + '-' + str(key)[6:8]
# next_date = trade_day_list[trade_day_list.index(ddate) + 1]
# input_file = 'asset_fut_l.csv'
# input_path = "{}/{}/{}".format("//shiming/accounts/CSVDownloader/Download/XT7", next_date.replace('-', '')[4:8], input_file)
# df = pd.read_csv(input_path,encoding='gbk')
# print df
# sheet_assessReport['Y' + l] = df.loc[0, u'期初权益']
# last_date = key
# l = str(int(l) + 1)
# wb.save(u'//SHIMING/accounts/python/YZJ/accounts/accounts-{}/{}/accounts.xlsx'.format(product_id, date))
#
# def update_assessReport_11(product_id, assessreport_path, date):
# file_list = list(os.walk(assessreport_path))[0][2]
# dir_list = list(os.walk(assessreport_path))[0][1]
# f_list = []
# k_list = []
# for item in file_list:
# pattern = re.compile(ur'.*.xls')
# if len(pattern.findall(item)) != 0:
# f_list = f_list + [item]
# k_list = k_list + [item]
# for item in dir_list:
# pattern = re.compile(ur'鸣石[0-9]{4}')
# if len(pattern.findall(item)) != 0:
# ff_list = list(os.walk(ur'{}/{}'.format(assessreport_path, item)))[0][2]
# for ite in ff_list:
# pattern = re.compile(ur'证券投资基金估值表_银河资本鸣石量化11号_.*')
# if len(pattern.findall(ite)) != 0:
# f_list = f_list + [ite]
# k_list = k_list + [ur'{}/{}'.format(item, ite)]
# d_list = []
# print f_list
#
#
# for item in f_list:
# d = item.split('_')[-1].split('.')[0]
# d_list = d_list + [int(d.replace('-',''))]
# print d_list
# date_dict = dict(zip(d_list, k_list))
# date_dict = sorted(date_dict.iteritems(), key = lambda x: x[0], reverse=False)
# print date_dict
#
# wb = ox.load_workbook(u'//SHIMING/accounts/python/YZJ/accounts/accounts-{}/{}/accounts.xlsx'.format(product_id, date))
# sheet_assessReport = wb["assessReport"]
# sheet_accounts = wb['accounts']
# i = 3
# while 1:
# i = i + 1
# if not sheet_assessReport["A" + str(i)].value:
# break
# l = str(i)
# last_date = sheet_assessReport["A" + str(i - 1)].value
# last_date = last_date.replace('/', '')
# last_date = int(last_date)
# for key, item in date_dict:
# print key
# print item
# if (key > last_date) and (key <= int(date.replace('/',''))):
# assessReport_wb = xlrd.open_workbook(ur'{}/{}'.format(assessreport_path, item))
# sheet1 = assessReport_wb.sheet_by_name('Sheet1')
# DATE = str(key)[:4] + '/' + str(key)[4:6] + '/' + str(key)[6:8]
# sheet_assessReport['A' + l] = DATE
# if u'活期存款' in sheet1.col_values(1):
# index = sheet1.col_values(1).index(u'活期存款')
# sheet_assessReport['B' + l] = sheet1.cell(index, 7).value
# else:
# sheet_assessReport['B' + l] = 0
# sheet_assessReport['C' + l] = '=D' + l + '+E' + l
# index = sheet1.col_values(1).index(u'清算备付金')
# sheet_assessReport['D' + l] = sheet1.cell(index, 7).value
# if u'存出保证金' in sheet1.col_values(1):
# index = sheet1.col_values(1).index(u'存出保证金')
# sheet_assessReport['E' + l] = sheet1.cell(index, 7).value
# else:
# sheet_assessReport['E' + l] = 0
# index = sheet1.col_values(0).index(u'证券投资合计:')
# sheet_assessReport['F' + l] = sheet1.cell(index, 7).value
#
# index = sheet1.col_values(0).index(u'其中股票投资:')
# sheet_assessReport['G' + l] = sheet1.cell(index, 7).value
# index = sheet1.col_values(0).index(u'其中基金投资:')
# sheet_assessReport['H' + l] = sheet1.cell(index, 7).value
# if u'买入返售金额资产' in sheet1.col_values(1):
# index = sheet1.col_values(1).index(u'买入返售金额资产')
# sheet_assessReport['I' + l] = sheet1.cell(index, 7).value
# else:
# sheet_assessReport['I' + l] = 0
#
# if u'三方存款账户' in sheet1.col_values(1):
# index = sheet1.col_values(1).index(u'三方存款账户')
# sheet_assessReport['J' + l] = sheet1.cell(index, 7).value
# else:
# sheet_assessReport['J' + l] = 0
#
# if u'理财产品' in sheet1.col_values(1):
# index = sheet1.col_values(1).index(u'理财产品')
# sheet_assessReport['K' + l] = sheet1.cell(index, 7).value
# else:
# sheet_assessReport['K' + l] = 0
#
# index = sheet1.col_values(1).index(u'应付托管费')
# sheet_assessReport['L' + l] = sheet1.cell(index, 7).value
# if u'应付投资顾问费' in sheet1.col_values(1):
# index = sheet1.col_values(1).index(u'应付投资顾问费')
# sheet_assessReport['M' + l] = sheet1.cell(index, 7).value
# else:
# sheet_assessReport['M' + l] = 0
# if u'应付管理人报酬' in sheet1.col_values(1):
# index = sheet1.col_values(1).index(u'应付管理人报酬')
# sheet_assessReport['N' + l] = sheet1.cell(index, 7).value
# else:
# sheet_assessReport['N' + l] = 0
# index = sheet1.col_values(0).index(u'基金单位净值：')
# sheet_assessReport['O' + l] = sheet1.cell(index, 1).value
#
# if u'基金资产净值:' in sheet1.col_values(0):
# index = sheet1.col_values(0).index(u'基金资产净值:')
# sheet_assessReport['P' + l] = sheet1.cell(index, 7).value
# else:
# sheet_assessReport['P' + l] = 0
#
# index = sheet1.col_values(0).index(u'实收资本')
# sheet_assessReport['Q' + l] = sheet1.cell(index, 7).value
#
# print DATE
# i = 2;
# while 1:
# i = i + 1
# if (sheet_accounts["A" + str(i)].value == DATE):
# break;
#
# accounts_num = str(i)
# print accounts_num
#
# sheet_assessReport['R' + l] = '=accounts!M' + accounts_num
#
# sheet_assessReport['S' + l] = '=accounts!L' + accounts_num
# sheet_assessReport['T' + l] = '=accounts!B' + accounts_num
# sheet_assessReport['U' + l] = '=accounts!G' + accounts_num
# sheet_assessReport['V' + l] = '=accounts!I' + accounts_num
# sheet_assessReport['W' + l] = '=accounts!H' + accounts_num
# sheet_assessReport['X' + l] = '=accounts!F' + accounts_num
# sheet_assessReport['Y' + l] = 0
# sheet_assessReport['Z' + l] = 0
# sheet_assessReport['AA' + l] = 0
# sheet_assessReport['AB' + l] = 0
# sheet_assessReport['AC' + l] = 0
# sheet_assessReport['AD' + l] = 0
# sheet_assessReport['AE' + l] = '=accounts!AL' + accounts_num
# sheet_assessReport['AF' + l] = '=accounts!AM' + accounts_num
# sheet_assessReport['AG' + l] = '=accounts!AK' + accounts_num
#
# sheet_assessReport['AH' + l] = '=accounts!AP' + accounts_num
#
# sheet_assessReport['AI' + l] = '=accounts!U' + accounts_num
# sheet_assessReport['AJ' + l] = '=F' + l + '-S' + l
# sheet_assessReport['AK' + l] = '=C' + l + '-R' + l
# sheet_assessReport['AL' + l] = '=AJ' + l + '+AK' + l
# sheet_assessReport['AM' + l] = 0
# sheet_assessReport['AN' + l] = 0
# sheet_assessReport['AO' + l] = 0
# sheet_assessReport['AP' + l] = 0
# sheet_assessReport['AQ' + l] = '=O' + l + '-AI' + l
# if key >= 20160627:
# if key in [20160805, 20160808, 20160815]:
# continue
# if key >= 20160818:
# input_path = "{}/{}/{}".format("//shiming/accounts/CSVDownloader/Download/XT11", str(key), 'holding.xls')
# else:
# input_path = "{}/{}/{}".format("//shiming/accounts/CSVDownloader/Download/XT11", str(key)[4:8], 'holding.xls')
# asset = pd.read_csv(input_path, sep='\t', encoding='gbk', nrows=1) # , usecols=asset_columns
# a = asset.ix[0, 5]
# if isinstance(a, (float)):
# sheet_assessReport['Z' + l] = asset.ix[0, 5]
# else:
# sheet_assessReport['Z' + l] = asset.ix[0, 5].replace('=', '').replace(r'"', '')
#
# trade_day_list = list(pd.read_csv('//SHIMING/accounts/python/trading_day_list.csv', names=None).iloc[:, 0])
# ddate = str(key)[:4] + '-' + str(key)[4:6] + '-' + str(key)[6:8]
# next_date = trade_day_list[trade_day_list.index(ddate) + 1]
# input_file = 'asset_fut_l.txt'
# if int(next_date.replace('-','')) >= 20160818:
# input_path = "{}/{}/{}".format("//shiming/accounts/CSVDownloader/Download/XT11", next_date.replace('-', ''), input_file)
# else:
# input_path = "{}/{}/{}".format("//shiming/accounts/CSVDownloader/Download/XT11", next_date.replace('-','')[4:8], input_file)
# f = open(input_path, 'r')
# lines = f.readlines()
# a = float(lines[8].strip().split(' ')[-1].replace(',', ''))
# sheet_assessReport['Y' + l] = a
# last_date = key
# l = str(int(l) + 1)
# wb.save(u'//SHIMING/accounts/python/YZJ/accounts/accounts-{}/{}/accounts.xlsx'.format(product_id, date))
def update_assessReport_12(product_id, assessreport_path, date):
file_list = list(os.walk(assessreport_path))[0][2]
dir_list = list(os.walk(assessreport_path))[0][1]
f_list = []
k_list = []
for item in file_list:
pattern = re.compile(ur'.*.xls')
if len(pattern.findall(item)) != 0:
f_list = f_list + [item]
k_list = k_list + [item]
for item in dir_list:
pattern = re.compile(ur'鸣石[0-9]{4}')
if len(pattern.findall(item)) != 0:
ff_list = list(os.walk(ur'{}/{}'.format(assessreport_path, item)))[0][2]
for ite in ff_list:
pattern = re.compile(ur'证券投资基金估值表_鸣石量化投资12号证券投资基金_.*')
if len(pattern.findall(ite)) != 0:
f_list = f_list + [ite]
k_list = k_list + [ur'{}/{}'.format(item, ite)]
d_list = []
print f_list