def test_save_all():
c = jsm.QuotesCsv()
for range_type in (jsm.DAILY, jsm.WEEKLY, jsm.MONTHLY):
c.save_historical_prices(tempfile.mktemp(dir='/tmp/'),
CCODE,
range_type,
all=True)
def test_save_range():
c = jsm.QuotesCsv()
start_date = datetime.date.fromtimestamp(time.time() - 604800) # 1週間前
end_date = datetime.date.today()
for range_type in (jsm.DAILY, jsm.WEEKLY, jsm.MONTHLY):
c.save_historical_prices(tempfile.mktemp(dir='/tmp/'), CCODE,
range_type, start_date, end_date)
import subprocess
from jsm_stock_lib import *
import pandas as pd
from datetime import datetime
import jsm
import os
import time
import calendar
from japan_stock_id_divided import *
import numpy as np
import multiprocessing
q = jsm.Quotes()
c = jsm.QuotesCsv()
FILE_TYPE = ".csv"
now = datetime.now()
ROOT_PATH = "./stock_data/"
MONTHLY_DIR_PATH = "./stock_data/monthly_data/"
date_str = now.strftime("%Y%m%d")
def get_stock_price(stock_id_list):
price_list = []
for id in stock_id_list:
price_list.append(q.get_price(id))
print(price_list)
return price_list
def check_reputecated_file(stock_id_list):
day_time = datetime.today().date()
def test_save_ja_path():
c = jsm.QuotesCsv()
path = tempfile.mktemp(dir='/tmp/')
path += '日本語'
c.save_price(path, CCODE)
def test_save():
c = jsm.QuotesCsv()
c.save_price(tempfile.mktemp(dir='/tmp/'), CCODE)