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stocks.py
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stocks.py
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# coding=utf-8
import tushare as ts
import pandas as pd
import numpy as np
import time
import traceback
import sys
import os
import sqlite3
import db
reload(sys) # encode problem resolving
sys.setdefaultencoding('utf-8') # encode problem resolving
report_start_year = 1993
report_end_year = 2015
path = '/Users/david/GitHub/pythonlearning/stock_data/'
log_path = '/Users/david/GitHub/pythonlearning/stock_data/'
# path = 'H:\\stock_data\\'
# log_path = 'H:\\stock_data\\'
current_date = '2015-12-30'
download = []
def converSymbol(symbol):
'将类型为数字的股票代码转化为字符类型的股票代码，比如 1 变成 000001'
symbol = str(symbol)
return symbol.rjust(6,'0')
def getDownloaded():
for file in os.listdir(path):
if file.endswith('.csv'):
download.append(file)
def logError(s):
f = open(log_path + 'log.txt', 'a')
f.writelines(s)
traceback.print_exc(file=f)
f.flush()
f.close()
def stringToDate(a):
# 从df中拿到的日期不是字符串，是np.array[int]格式
s = np.array2string(a)
return s[:4] + '-' + s[4:6] + '-' + s[6:8]
def isDownloaded(name):
return download.count(name) > 0
def nameByCode(code):
return code + '.csv'
def getStockPrice(code, startDate, endDate):
try:
print(code + ' is published at ' + startDate + ' is in processing...')
price_df = ts.get_h_data(code, start=startDate, end=endDate)
price_df.to_csv(path + nameByCode(code))
print('\n' + code + ' is done!')
except Exception:
logError('When dealing with code: ' + code +
' there is problem, will skip it. ')
def getStocks():
df = ts.get_stock_basics()
for code in df.index:
getDownloaded()
if not isDownloaded(nameByCode(code)):
startDate = stringToDate(df.ix[code]['timeToMarket']) # 上市日期
getStockPrice(code, startDate, current_date)
time.sleep(5)
def reportByYear(year, quarter):
return str(year) + '-' + str(quarter) + '.csv'
def profitByYear(year, quarter):
return str(year) + '-' + str(quarter) + '-profile' + '.csv'
def growthByYear(year, quarter):
return str(year) + '-' + str(quarter) + '-growth' + '.csv'
def debtByYear(year, quarter):
return str(year) + '-' + str(quarter) + '-debt' + '.csv'
def getQuerterReport(year):
for q in [1, 2, 3, 4]:
getDownloaded()
if not isDownloaded(reportByYear(year, q)):
try:
print('Report of ' + str(year) + ' and quarter is ' + str(q))
report_df = ts.get_report_data(year, q)
report_df.to_csv(path + reportByYear(year, q))
time.sleep(5)
except Exception:
logError('Report: ' + str(year) + '-' + str(q) +
' there is problem, will skip it. ')
def getProfileReport(year):
for q in [1, 2, 3, 4]:
getDownloaded()
if not isDownloaded(profitByYear(year, q)):
try:
print('Profit of ' + str(year) + ' and quarter is ' + str(q))
profit_df = ts.get_profit_data(year, q)
profit_df.to_csv(path + profitByYear(year, q))
time.sleep(5)
except Exception:
logError('Profit: ' + str(year) + '-' + str(q) +
' there is problem, will skip it. ')
def getGrowthReport(year):
for q in [1, 2, 3, 4]:
getDownloaded()
if not isDownloaded(growthByYear(year, q)):
try:
print('Growth of ' + str(year) + ' and quarter is ' + str(q))
growth_df = ts.get_growth_data(year, q)
growth_df.to_csv(path + growthByYear(year, q))
time.sleep(5)
except Exception:
logError('Growth: ' + str(year) + '-' + str(q) +
' there is problem, will skip it. ')
def getDebtReport(year):
for q in [1, 2, 3, 4]:
getDownloaded()
if not isDownloaded(debtByYear(year, q)):
try:
print('Debt of ' + str(year) + ' and quarter is ' + str(q))
debt_df = ts.get_debtpaying_data(year, q)
debt_df.to_csv(path + debtByYear(year, q))
time.sleep(5)
except Exception:
logError('Debt: ' + str(year) + '-' + str(q) +
' there is problem, will skip it. ')
def getReports(startYear, endYear):
for year in range(startYear, endYear + 1):
getQuerterReport(year)
getProfileReport(year)
getGrowthReport(year)
getDebtReport(year)
def queryBasic(symbol):
conn = sqlite3.connect(db.db_path)
try:
df = pd.read_sql('select * from ' + db.stock_basics +
' where code = ?', con=conn, params=[symbol])
return df
except Exception, e:
raise e
finally:
conn.close()
def getAllStocks():
'返回以股票代码为索引的所有股票的名称，行业，上市时间'
conn = sqlite3.connect(db.db_path)
try:
# df = pd.read_sql('select code, name, industry, timeToMarket from ' + db.stock_basics, con=conn, index_col = ['code'])
df = pd.read_sql('select code, name, industry, timeToMarket from ' + db.stock_basics, con=conn)
return df
except Exception, e:
raise e
finally:
conn.close()
def queryIndustry(symbol):
df = queryBasic(symbol)
return df['industry'][0]
if __name__ == '__main__':
# getReports(report_start_year,report_end_year)
# getStocks()
# print(queryIndustry('0000001'))
# print(getAllStocks())
print(converSymbol(1))