def getCurrentStockConsenFromHK():
#한경 컨세서스 연결.
stock_dic_list = []
KST = datetime.now(timezone('Asia/Seoul'))
today_str = KST.strftime('%Y-%m-%d')
#몇일전까지 : days=0 은 오늘
startday_str = (
datetime.today() -
timedelta(days=Preference.getStockDaysCount())).strftime('%Y-%m-%d')
#몇개 분석할 것이냐?
stock_count = Preference.getStockLoadCount()
#request_url = 'http://hkconsensus.hankyung.com/apps.analysis/analysis.list?skinType=stock_good&sdate='+today_str+'&edate='+today_str+'&order_type=10010000&pagenum=150'
#http://hkconsensus.hankyung.com/apps.analysis/analysis.list?skinType=business&sdate=2019-04-03&edate=2019-04-09&pagenum=1000&order_type=12000001&now_page=1
request_url = 'http://hkconsensus.hankyung.com/apps.analysis/analysis.list?skinType=business&sdate=' + startday_str + '&edate=' + today_str + '&pagenum=' + stock_count + '&order_type=12000001&now_page=1'
print(request_url)
driver = Preference.getWebDriver()
driver.get(request_url)
#html = driver.page_source
table_element = driver.find_element_by_xpath(
'//*[@id="contents"]/div[2]/table/tbody')
tablebody_html = table_element.get_attribute('innerHTML')
#print tablebody_html
soup = BeautifulSoup(tablebody_html, "html.parser")
stock_element_list = soup.find_all('tr')
for stock_element in stock_element_list:
#DATE
upload_date = stock_element.td.string
stock_data = stock_element.find_all('td')
stock_dic = {}
stockcode = '000000'
i = 1
for astock_data in stock_data:
if (i == 1):
#print astock_data.text
stock_dic['update_date'] = astock_data.text
if (i == 2):
#print astock_data.find('strong').text
stock_dic['all_title'] = astock_data.find('strong').text
all_title = stock_dic['all_title']
start = all_title.find('(') + 1
end = start + 6
stock_code = all_title[start:end]
stock_dic['stock_code'] = stock_code
stockcode = stock_code
stock_name = all_title[0:all_title.find('(')]
stock_dic['stock_name'] = stock_name
title = all_title[end + 1:len(all_title)]
stock_dic['title'] = title
#print stock_dic['all_title']
#print stock_dic['stock_code']
#print stock_dic['stock_name']
#print stock_dic['title']
if (i == 3):
#적정가격
#print astock_data.text
stock_dic['new_price'] = astock_data.text
if (i == 4):
#print astock_data.text
stock_dic['opinion'] = astock_data.text
if (i == 5):
#print astock_data.text
stock_dic['analyst_name'] = astock_data.text
if (i == 6):
#print "####a####"
#print astock_data.text
stock_dic['analyst_company'] = astock_data.text
if (i == 9):
for link in astock_data.find_all('a', href=True):
url = link['href']
stock_dic[
'report_url'] = 'http://hkconsensus.hankyung.com/' + url
#print stock_dic['report_url']
break
i = i + 1
#print "."
stock_dic[
'companyinfo_url'] = 'http://media.kisline.com/highlight/mainHighlight.nice?paper_stock=' + stockcode + '&nav=1'
#print stock_dic['companyinfo_url']
if (stock_dic['new_price'] != "0"):
now_stock_price = GetStockPrice.getCurrentStockPriceNaver(
stock_dic['stock_code'])
stock_dic['now_price'] = now_stock_price['now_price']
stock_dic['now_updown_rate'] = now_stock_price['updown_rate']
print((stock_dic['stock_name']))
print((stock_dic['new_price']))
print((stock_dic['now_price']))
diff_rate = float(stock_dic['now_price'].replace(',', '')) / float(
stock_dic['new_price'].replace(',', ''))
diff_rate = int(diff_rate * 100)
stock_dic['diff_rate'] = str(diff_rate)
print((stock_dic['diff_rate']))
if (diff_rate > 20 and diff_rate < 100):
stock_dic_list.append(stock_dic)
#print stock_dic
stock_dic_list_sorted = sorted(stock_dic_list,
key=lambda k: k['diff_rate'],
reverse=False)
return stock_dic_list_sorted
def getUpturnStockFromHK():
#한경 컨세서스 연결.
stock_dic_list = []
today = date.today()
today_str = datetime.today().strftime('%Y-%m-%d')
yesterday = today - timedelta(Preference.getStockDaysCount())
yesterday_str = yesterday.strftime('%Y-%m-%d')
request_url = 'http://hkconsensus.hankyung.com/apps.analysis/analysis.list?skinType=stock_good&sdate='+yesterday_str+'&edate='+today_str+'&order_type=10010000&pagenum=150'
print(request_url)
driver = Preference.getWebDriver()
driver.get(request_url)
table_element = driver.find_element_by_xpath('//*[@id="contents"]/div[2]/table/tbody')
tablebody_html = table_element.get_attribute('innerHTML')
soup = BeautifulSoup(tablebody_html, "html.parser")
stock_element_list = soup.find_all('tr')
for stock_element in stock_element_list:
#DATE
upload_date=stock_element.td.string
stock_data = stock_element.find_all('td')
stock_dic ={}
i = 1
for astock_data in stock_data:
if(i==1):
#print astock_data.text
stock_dic['update_date']=astock_data.text
if(i==2):
#print '---'
stock_dic['report_url']=''
try:
spl1 = str(astock_data).split("\n")
#print spl1
spl2 = spl1[3].split("\"")
#print spl2
spl3 = spl2[3].split("_")
#print spl3
report_index = spl3[1]
#print report_index
stock_dic['report_url']='http://hkconsensus.hankyung.com/apps.analysis/analysis.downpdf?report_idx='+report_index
except:
stock_dic['report_url']=''
stock_dic['all_title'] = astock_data.find('strong').text
all_title = stock_dic['all_title']
start = all_title.find('(')+1
end = start+6
stock_code = all_title[start:end]
stock_dic['stock_code']=stock_code
stock_name = all_title[0:all_title.find('(')]
stock_dic['stock_name']=stock_name
title = all_title[end+1:len(all_title)]
stock_dic['title']=title
#print stock_dic['all_title']
#print stock_dic['stock_code']
#print stock_dic['stock_name']
#print stock_dic['title']
if(i==3):
#print astock_data.text
stock_dic['analyst_name']=astock_data.text
if(i==4):
#print astock_data.text
stock_dic['analyst_company']=astock_data.text
if(i==5):
#print astock_data.text
stock_dic['new_price']=astock_data.text
if(i==6):
#print astock_data.text
stock_dic['old_price']=astock_data.text
continue
i=i+1
#print "."
stock_dic['companyinfo_url']='http://media.kisline.com/highlight/mainHighlight.nice?paper_stock='+stock_code+'&nav=1'
#print stock_dic['companyinfo_url']
upper_rate=float(stock_dic['new_price'].replace(',',''))/float(stock_dic['old_price'].replace(',',''))
upper_rate=int((upper_rate-1)*100)
stock_dic['upper_rate']=str(upper_rate)
if(stock_dic['new_price'] != "0" ):
now_stock_price = GetStockPrice.getCurrentStockPriceNaver(stock_dic['stock_code'])
stock_dic['now_price']=now_stock_price['now_price']
stock_dic['now_updown_rate']=now_stock_price['updown_rate']
print((stock_dic['stock_name']))
print((stock_dic['new_price']))
print((stock_dic['now_price']))
diff_rate=float(stock_dic['now_price'].replace(',',''))/float(stock_dic['new_price'].replace(',',''))
diff_rate=int(diff_rate*100)
stock_dic['diff_rate']=str(diff_rate)
print((stock_dic['diff_rate']))
if(diff_rate > 20 and diff_rate < 100):
stock_dic_list.append(stock_dic)
#print stock_dic
#다 뽑아와서 차이나는 순대로 정렬
stock_dic_list_sorted = sorted(stock_dic_list, key=lambda k: k['diff_rate'], reverse=False)
return stock_dic_list_sorted
def getStockGoodBadfromHK(stock_code):
count_good = 0
count_bad = 0
try:
driver = Preference.getWebDriver()
today = date.today()
pre_1month = today - timedelta(Preference.getStockDaysCount())
today_str = today.strftime('%Y-%m-%d')
pre_1month_str = pre_1month.strftime('%Y-%m-%d')
#목표상향 갯수 추출
request_url = 'http://hkconsensus.hankyung.com/apps.analysis/analysis.list?skinType=stock_good&search_text=' + stock_code + '&sdate=' + pre_1month_str + '&edate=' + today_str
#print request_url
driver.get(request_url)
table_element = driver.find_element_by_xpath(
'//*[@id="contents"]/div[2]/table/tbody')
tablebody_html = table_element.get_attribute('innerHTML')
soup = BeautifulSoup(tablebody_html, "html.parser")
stock_element_list = soup.find_all('tr')
for stock_element in stock_element_list:
result_msg = stock_element.find('td').text
#print result_msg
#if(result_msg.find("결과가".decode('UTF-8'))):
#if "결과가".decode('UTF-8') in result_msg:
if "결과가" in result_msg:
print("None")
else:
count_good = count_good + 1
#목표하향 갯수 추출
request_url = 'http://hkconsensus.hankyung.com/apps.analysis/analysis.list?skinType=stock_bad&search_text=' + stock_code + '&sdate=' + pre_1month_str + '&edate=' + today_str
#print request_url
driver.get(request_url)
table_element = driver.find_element_by_xpath(
'//*[@id="contents"]/div[2]/table/tbody')
tablebody_html = table_element.get_attribute('innerHTML')
soup = BeautifulSoup(tablebody_html, "html.parser")
stock_element_list = soup.find_all('tr')
for stock_element in stock_element_list:
result_msg = stock_element.find('td').text
#print result_msg
#if(result_msg.find("결과가".decode('UTF-8'))):
if "결과가".decode('UTF-8') in result_msg:
print("None")
else:
count_bad = count_bad + 1
except Exception as e:
print(e)
return count_good, count_bad