481 lines
24 KiB
Python
481 lines
24 KiB
Python
import os
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import datetime
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import requests
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import sqlite3
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from time import sleep
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import pandas as pd
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class MetaCrawler:
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header = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36'}
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limit_page_count = 1000000
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START_DATE = None
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def __init__(self, START_DATE):
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self.START_DATE = START_DATE
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return
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# 참고) http://blog.naver.com/PostView.nhn?blogId=koko8624&logNo=221288761509
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def crawl_exchange(self, inFileName):
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tableName = 'meta_1'
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conn = sqlite3.connect(inFileName)
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cursor = conn.cursor()
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# 테이블 생성
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cursor.execute("CREATE TABLE IF NOT EXISTS "+tableName+" (CODE text, NAME text, ymd text, price REAL, diff REAL, cash_buy REAL, cash_sell REAL, transfer_buy REAL, transfer_sell REAL)")
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# 키 생성
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create_key = "CREATE INDEX IF NOT EXISTS " + tableName + "_idx on " + tableName + " (CODE, ymd) "
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cursor.execute(create_key)
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inputs = []
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inputs.append( {'NAME':'USD', 'CODE': 'FX_USDKRW', 'URL':'http://finance.naver.com/marketindex/exchangeDailyQuote.nhn?marketindexCd=FX_USDKRW'} ) # 미국 USD
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inputs.append( {'NAME':'JPY', 'CODE': 'FX_JPYKRW', 'URL':'http://finance.naver.com/marketindex/exchangeDailyQuote.nhn?marketindexCd=FX_JPYKRW'} ) # 일본 JPY
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inputs.append( {'NAME':'EUR', 'CODE': 'FX_EURKRW', 'URL':'http://finance.naver.com/marketindex/exchangeDailyQuote.nhn?marketindexCd=FX_EURKRW'} ) # 유럽연합 EUR'
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inputs.append( {'NAME':'CNY', 'CODE': 'FX_CNYKRW', 'URL':'http://finance.naver.com/marketindex/exchangeDailyQuote.nhn?marketindexCd=FX_CNYKRW'} ) # 중국 CNY
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inputs.append({'NAME': 'HKD', 'CODE': 'FX_HKDKRW', 'URL': 'http://finance.naver.com/marketindex/exchangeDailyQuote.nhn?marketindexCd=FX_HKDKRW'}) # 홍콩 HKD
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inputs.append({'NAME': 'GBP', 'CODE': 'FX_GBPKRW', 'URL': 'http://finance.naver.com/marketindex/exchangeDailyQuote.nhn?marketindexCd=FX_GBPKRW'}) # 영국 GRP
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inputs.append({'NAME': 'CAD', 'CODE': 'FX_CADKRW', 'URL': 'http://finance.naver.com/marketindex/exchangeDailyQuote.nhn?marketindexCd=FX_CADKRW'}) # 캐나다CAD
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inputs.append({'NAME': 'CHF', 'CODE': 'FX_CHFKRW', 'URL': 'http://finance.naver.com/marketindex/exchangeDailyQuote.nhn?marketindexCd=FX_CHFKRW'}) # 스위스 CHF
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inputs.append({'NAME': 'AUD', 'CODE': 'FX_AUDKRW', 'URL': 'http://finance.naver.com/marketindex/exchangeDailyQuote.nhn?marketindexCd=FX_AUDKRW'}) # 호주 AUD
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inputs.append({'NAME': 'THB', 'CODE': 'FX_THBKRW', 'URL': 'http://finance.naver.com/marketindex/exchangeDailyQuote.nhn?marketindexCd=FX_THBKRW'}) # 태국 THB
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inputs.append({'NAME': 'INR', 'CODE': 'FX_INRKRW', 'URL': 'http://finance.naver.com/marketindex/exchangeDailyQuote.nhn?marketindexCd=FX_INRKRW'}) # 인도 INR
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inputs.append({'NAME': 'PHP', 'CODE': 'FX_PHPKRW', 'URL': 'http://finance.naver.com/marketindex/exchangeDailyQuote.nhn?marketindexCd=FX_PHPKRW'}) # 필리핀 PHP
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inputs.append({'NAME': 'BRL', 'CODE': 'FX_BRLKRW', 'URL': 'http://finance.naver.com/marketindex/exchangeDailyQuote.nhn?marketindexCd=FX_BRLKRW'}) # 브라질 BRL
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inputs.append({'NAME': 'VND', 'CODE': 'FX_VNDKRW', 'URL': 'http://finance.naver.com/marketindex/exchangeDailyQuote.nhn?marketindexCd=FX_VNDKRW'}) # 베트남 VND
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inputs.append({'NAME': 'RUB', 'CODE': 'FX_RUBKRW', 'URL': 'http://finance.naver.com/marketindex/exchangeDailyQuote.nhn?marketindexCd=FX_RUBKRW'}) # 러시아 RUB
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inputs.append({'NAME': 'TWD', 'CODE': 'FX_TWDKRW', 'URL': 'http://finance.naver.com/marketindex/exchangeDailyQuote.nhn?marketindexCd=FX_TWDKRW'}) # 대만 TWD
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for idx in range(len(inputs)):
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input = inputs[idx]
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NAME = input['NAME']
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CODE = input['CODE']
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cursor.execute('SELECT ymd FROM ' + tableName + ' WHERE CODE=? order by ymd desc', (CODE,))
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result = cursor.fetchone()
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if result == None:
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lastDay = self.START_DATE
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else:
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lastDay = result[0]
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finish = False
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for i in range(1, self.limit_page_count):
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#html = pd.read_html(input['URL'] + '&page=%s' % i, header=0)
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html = None
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while True:
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try:
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html = pd.read_html(requests.get(input['URL'] + '&page=%s' % i, headers=self.header, timeout=30).text)
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sleep(0.5)
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break
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except:
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print(input['URL'] + '&page=%s' % i)
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if i > 200:
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break
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continue
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# 마지막 페이지 까지 받기
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if len(html[0].날짜.values) <= 1:
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break
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for j in range(0, len(html[0].values)):
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item = html[0].values[j]
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if input['NAME'] in ('USD', 'JPY', 'EUR', 'CNY', 'HKD', 'GBP', 'CAD', 'CHF', 'AUD', 'THB', 'INR', 'PHP', 'BRL', 'VND', 'RUB', 'TWD'):
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if item[0] <= lastDay:
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finish = True
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break
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ymd = item[0] # 날짜
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price = item[1] # 매매기준율
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diff = item[2] # 전일대비
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cash_buy = item[3] # 현찰 사실 때
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cash_sell = item[4] # 현찰 파실 때
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transfer_buy = item[5] # 송금 사실 때
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transfer_sell = item[6] # 송금 파실 때
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cursor.execute('SELECT * FROM ' + tableName + ' WHERE CODE=? and ymd=?', (CODE,ymd,))
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result = cursor.fetchone()
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if result == None:
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cursor.execute("INSERT INTO " + tableName + "(CODE, NAME, ymd, price, diff, cash_buy, cash_sell, transfer_buy, transfer_sell) VALUES(?, ?, ?, ?, ?, ?, ?, ?, ?)", (CODE, NAME, ymd, price, diff, cash_buy, cash_sell, transfer_buy, transfer_sell))
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else:
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# cursor.execute("UPDATE " + tableName + " SET price=?, diff=?, cash_buy=?, cash_sell=?, transfer_buy=?, transfer_sell=? WHERE CODE=? and ymd=?", (price, diff, cash_buy, cash_sell, transfer_buy, transfer_sell, CODE, ymd))
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finish = True
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break
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print("{}. {} {} ({})".format(idx, ymd, CODE, NAME))
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if finish:
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break
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conn.commit()
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cursor.close()
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conn.close()
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return
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# 투자자별 매매동향 (Trading_Trend) 크롤링
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# (pri, 개인)
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# (for, 외국인)
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# (ins, 기관합)
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# (ins0, 금융투자)
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# (ins1, 보험)
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# (ins2, 투신 (사모))
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# (ins3, 은행)
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# (ins4, 기타금융기관)
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# (ins5, 연기금 등)
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# (cor, 기타법인)
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# 참고) http://blog.naver.com/PostView.nhn?blogId=koko8624&logNo=221289696771&parentCategoryNo=&categoryNo=&viewDate=&isShowPopularPosts=false&from=postView
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def crawl_trading_trend(self, inFileName):
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tableName = 'meta_2'
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conn = sqlite3.connect(inFileName)
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cursor = conn.cursor()
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# 테이블 생성
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cursor.execute("CREATE TABLE IF NOT EXISTS "+tableName+" (ymd text PRIMARY KEY, pri integer, fori integer, ins integer, ins0 integer, ins1 integer, ins2 integer, ins3 integer, ins4 integer, ins5 integer, cor integer)")
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# 키 생성
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create_key = "CREATE INDEX IF NOT EXISTS "+tableName+"_idx on "+tableName+" (ymd) "
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cursor.execute(create_key)
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cursor.execute('SELECT ymd FROM ' + tableName + ' order by ymd desc')
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result = cursor.fetchone()
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if result == None:
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lastDay = self.START_DATE
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else:
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lastDay = result[0]
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today = datetime.datetime.now().strftime("%Y%m%d")
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url = 'http://finance.naver.com/sise/investorDealTrendDay.nhn?bizdate='+today+'&sosok=&page='
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previousDay = ""
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finish = False
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for i in range(1, self.limit_page_count):
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#html = pd.read_html(url + str(i), header=0)
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html = None
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while True:
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try:
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html = pd.read_html(requests.get(url + str(i), headers=self.header, timeout=30).text)
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sleep(0.5)
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break
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except:
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print(url + str(i))
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if i > 200:
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break
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continue
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# 마지막 페이지 까지 받기
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if len(html[0].날짜.values) <= 2:
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break
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for j in range(0, len(html[0].values)):
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item = html[0].values[j]
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if str(item[0]) == "nan":
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continue
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if "20" + item[0] <= lastDay or item[0] == previousDay:
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finish = True
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break
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ymd = "20"+item[0]
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pri = item[1] # 개인
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fori = item[2] # 외국인
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ins = item[3] # 기관합
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ins0 = item[4] # 금융투자
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ins1 = item[5] # 보험
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ins2 = item[6] # 투신 (사모)
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ins3 = item[7] # 은행
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ins4 = item[8] # 기타금융기관
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ins5 = item[9] # 연기금 등
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cor = item[10] # 기타법인
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cursor.execute('SELECT * FROM ' + tableName + ' WHERE ymd=?', (ymd,))
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result = cursor.fetchone()
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if result == None:
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cursor.execute("INSERT INTO " + tableName + "(ymd, pri, fori, ins, ins0, ins1, ins2, ins3, ins4, ins5, cor) VALUES(?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)", (ymd, pri, fori, ins, ins0, ins1, ins2, ins3, ins4, ins5, cor))
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else:
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# cursor.execute("UPDATE " + tableName + " SET pri=?, fori=?, ins=?, ins0=?, ins1=?, ins2=?, ins3=?, ins4=?, ins5=?, cor=? WHERE ymd=?", (pri, fori, ins, ins0, ins1, ins2, ins3, ins4, ins5, cor, ymd))
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finish = True
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break
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print ("Trading_Trend 20{}".format(item[0]))
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previousDay = html[0].values[2][0]
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if finish:
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break
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conn.commit()
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cursor.close()
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conn.close()
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return
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# 증시자금동향 (신용잔고, 펀드자금 잔고) 크롤링
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# 참고) http://blog.naver.com/PostView.nhn?blogId=koko8624&logNo=221290138187&parentCategoryNo=&categoryNo=&viewDate=&isShowPopularPosts=false&from=postView
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def crawl_money_trend(self, inFileName):
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tableName = 'meta_3'
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conn = sqlite3.connect(inFileName)
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cursor = conn.cursor()
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cursor.execute("CREATE TABLE IF NOT EXISTS "+tableName+" (ymd text, dep1_1 integer, dep1_2 integer, dep2_1 integer, dep2_2 integer, dep3_1 integer, dep3_2 integer, dep4_1 integer, dep4_2 integer, dep5_1 integer, dep5_2 integer)")
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# 키 생성
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create_key = "CREATE INDEX IF NOT EXISTS "+tableName+"_idx on "+tableName+" (ymd) "
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cursor.execute(create_key)
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cursor.execute('SELECT ymd FROM ' + tableName + ' order by ymd desc')
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result = cursor.fetchone()
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if result == None:
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lastDay = self.START_DATE
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else:
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lastDay = result[0]
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previousDay = ""
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url = 'http://finance.naver.com/sise/sise_deposit.nhn?&page='
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finish = False
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for i in range(1, self.limit_page_count):
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#html = pd.read_html(url + str(i), header=0, encoding='euc-kr')
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html = None
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while True:
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try:
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html = pd.read_html(requests.get(url + str(i), headers=self.header, timeout=30).text, encoding='euc-kr')
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sleep(0.5)
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break
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except:
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print(url + str(i))
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if i > 200:
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break
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continue
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# 마지막 페이지 까지 받기
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if len(html[0].날짜.values) <= 10:
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break
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for j in range(0, len(html[0].values)):
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item = html[0].values[j]
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if str(item[0]) == "nan":
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continue
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if "20"+item[0] <= lastDay or item[0] == previousDay:
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finish = True
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break
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meta = {
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"ymd": "20"+item[0],
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"dep1_1": item[1], # 고객예탁금 누적
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"dep1_2": item[2], # 고객예탁금 당일
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"dep2_1": item[3], # 신용잔고 누적
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"dep2_2": item[4], # 신용잔고 당일
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"dep3_1": item[5], # 주식형펀드 누적
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"dep3_2": item[6], # 주식형펀드 당일
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"dep4_1": item[7], # 혼합형펀드 누적
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"dep4_2": item[8], # 혼합형펀드 당일
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"dep5_1": item[9], # 채권형펀드 누적
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"dep5_2": item[10]} # 채권형펀드 당일
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cursor.execute('SELECT * FROM ' + tableName + ' WHERE ymd=?', (meta["ymd"],))
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result = cursor.fetchone()
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if result == None:
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cursor.execute("INSERT INTO " + tableName + "(ymd, dep1_1, dep1_2, dep2_1, dep2_2, dep3_1, dep3_2, dep4_1, dep4_2, dep5_1, dep5_2) VALUES(?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)", (meta["ymd"], meta["dep1_1"], meta["dep1_2"], meta["dep2_1"], meta["dep2_2"], meta["dep3_1"], meta["dep3_2"], meta["dep4_1"], meta["dep4_2"], meta["dep5_1"], meta["dep5_2"]))
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else:
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# cursor.execute("UPDATE " + tableName + " SET dep1_1=?, dep1_2=?, dep2_1=?, dep2_2=?, dep3_1=?, dep3_2=?, dep4_1=?, dep4_2=?, dep5_1=?, dep5_2=? WHERE ymd=?", (meta["dep1_1"], meta["dep1_2"], meta["dep2_1"], meta["dep2_2"], meta["dep3_1"], meta["dep3_2"], meta["dep4_1"], meta["dep4_2"], meta["dep5_1"], meta["dep5_2"], meta["ymd"]))
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finish = True
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break
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print("crawl_money_trend 20{}".format(item[0]))
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if finish:
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break
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previousDay = html[0].values[2][0]
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conn.commit()
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cursor.close()
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conn.close()
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return
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# 국내 시장금리 크롤링
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# 참고) http://blog.naver.com/PostView.nhn?blogId=koko8624&logNo=221292348073&parentCategoryNo=&categoryNo=&viewDate=&isShowPopularPosts=false&from=postView
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def crawl_interest_rates(self, inFileName):
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tableName = 'meta_4'
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conn = sqlite3.connect(inFileName)
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cursor = conn.cursor()
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# 테이블 생성
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cursor.execute("CREATE TABLE IF NOT EXISTS " + tableName + " (CODE text, NAME text, ymd text, close REAL, diff REAL, rate REAL)")
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# 키 생성
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create_key = "CREATE INDEX IF NOT EXISTS "+tableName+"_idx on "+tableName+" (CODE, ymd) "
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cursor.execute(create_key)
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inputs = []
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inputs.append({'NAME': '91일 CD금리', 'CODE': 'IRR_CD91', 'URL': 'http://finance.naver.com/marketindex/interestDailyQuote.nhn?marketindexCd=IRR_CD91'})
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inputs.append({'NAME': '콜금리', 'CODE': 'IRR_CALL', 'URL': 'http://finance.naver.com/marketindex/interestDailyQuote.nhn?marketindexCd=IRR_CALL'})
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inputs.append({'NAME': '국고채(3년)', 'CODE': 'IRR_GOVT03Y', 'URL': 'http://finance.naver.com/marketindex/interestDailyQuote.nhn?marketindexCd=IRR_GOVT03Y'})
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inputs.append({'NAME': '회사채(3년)', 'CODE': 'IRR_CORP03Y', 'URL': 'http://finance.naver.com/marketindex/interestDailyQuote.nhn?marketindexCd=IRR_CORP03Y'})
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for idx in range(len(inputs)):
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input = inputs[idx]
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NAME = input['NAME']
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CODE = input['CODE']
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cursor.execute('SELECT ymd FROM ' + tableName + ' WHERE CODE=? order by ymd desc', (CODE,))
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result = cursor.fetchone()
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if result == None:
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lastDay = self.START_DATE
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else:
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lastDay = result[0]
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finish = False
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for i in range(1, self.limit_page_count):
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#html = pd.read_html(input['URL'] + '&page=%s' % i, header=0)
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html = None
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while True:
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try:
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html = pd.read_html(requests.get(input['URL'] + '&page=%s' % i, headers=self.header, timeout=30).text)
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sleep(0.5)
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break
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except:
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print (input['URL'] + '&page=%s' % i)
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if i>200:
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break
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continue
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ymd, close, diff, rate = "", 0.0, 0.0, 0.0
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# 마지막 페이지 까지 받기
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if len(html[0].날짜.values) <= 1:
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break
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for j in range(len(html[0].values)):
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item = html[0].values[j]
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if str(item[0]) == "nan":
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continue
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if item[0] <= lastDay:
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finish = True
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break
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ymd = item[0]
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close = item[1] # 종가
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diff = item[2] # 전일대비
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rate = item[3] # 등락율
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cursor.execute('SELECT * FROM ' + tableName + ' WHERE CODE=? and ymd=?', (CODE, ymd,))
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result = cursor.fetchone()
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if result == None:
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cursor.execute("INSERT INTO " + tableName + "(CODE, NAME, ymd, close, diff, rate) VALUES(?, ?, ?, ?, ?, ?)", (CODE, NAME, ymd, close, diff, rate))
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else:
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# cursor.execute("UPDATE " + tableName + " SET close=?, diff=?, rate=? WHERE CODE=? and ymd=?", (close, diff, rate, CODE, ymd))
|
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finish = True
|
|
break
|
|
|
|
if finish:
|
|
break
|
|
print("{} {}".format(ymd, NAME))
|
|
|
|
conn.commit()
|
|
cursor.close()
|
|
conn.close()
|
|
return
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|
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# 참고) http://blog.naver.com/PostView.nhn?blogId=koko8624&logNo=221288761509
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def crawl_meterials(self, inFileName):
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tableName = 'meta_5'
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conn = sqlite3.connect(inFileName)
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cursor = conn.cursor()
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|
|
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# 테이블 생성
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cursor.execute("CREATE TABLE IF NOT EXISTS " + tableName + " (CODE text, NAME text, ymd text, close REAL, diff REAL, rate REAL)")
|
|
|
|
# 키 생성
|
|
create_key = "CREATE INDEX IF NOT EXISTS " + tableName + "_idx on " + tableName + " (CODE, NAME, ymd) "
|
|
cursor.execute(create_key)
|
|
|
|
inputs = []
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|
inputs.append( {'NAME':'WTI', 'CODE':'OIL_CL', 'URL':'http://finance.naver.com/marketindex/worldDailyQuote.nhn?marketindexCd=OIL_CL&fdtc=2'} ) # WTI
|
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inputs.append({'NAME': 'COPPER', 'CODE': 'CMDT_CDY','URL': 'http://finance.naver.com/marketindex/worldDailyQuote.nhn?marketindexCd=CMDT_CDY&fdtc=2'}) # 구리
|
|
inputs.append({'NAME': 'NATURALGAS', 'CODE': 'CMDT_NG','URL': 'http://finance.naver.com/marketindex/worldDailyQuote.nhn?marketindexCd=CMDT_NG&fdtc=2'}) # 천연가스
|
|
inputs.append({'NAME': 'CORN', 'CODE': 'CMDT_C','URL': 'http://finance.naver.com/marketindex/worldDailyQuote.nhn?marketindexCd=CMDT_C&fdtc=2'}) # 국제 옥수수
|
|
inputs.append({'NAME': 'SOYBEAN', 'CODE': 'CMDT_S','URL': 'http://finance.naver.com/marketindex/worldDailyQuote.nhn?marketindexCd=CMDT_S&fdtc=2'}) # 국제 대두
|
|
inputs.append({'NAME': 'LEAD', 'CODE': 'CMDT_PDY','URL': 'http://finance.naver.com/marketindex/worldDailyQuote.nhn?marketindexCd=CMDT_PDY&fdtc=2'}) # 납
|
|
inputs.append({'NAME': 'NICKEL', 'CODE': 'CMDT_NDY','URL': 'http://finance.naver.com/marketindex/worldDailyQuote.nhn?marketindexCd=CMDT_NDY&fdtc=2'}) # 니켈
|
|
inputs.append({'NAME': 'SUGAR', 'CODE': 'CMDT_SB','URL': 'http://finance.naver.com/marketindex/worldDailyQuote.nhn?marketindexCd=CMDT_SB&fdtc=2'}) # 설탕
|
|
inputs.append({'NAME': 'COFFEE', 'CODE': 'CMDT_KC','URL': 'http://finance.naver.com/marketindex/worldDailyQuote.nhn?marketindexCd=CMDT_KC&fdtc=2'}) # 커피
|
|
inputs.append({'NAME': 'COCOA', 'CODE': 'CMDT_CC','URL': 'http://finance.naver.com/marketindex/worldDailyQuote.nhn?marketindexCd=CMDT_CC&fdtc=2'}) # 코코아
|
|
inputs.append( {'NAME':'GOLD', 'CODE':'CMDT_GC', 'URL':'http://finance.naver.com/marketindex/worldDailyQuote.nhn?marketindexCd=CMDT_GC&fdtc=2'} ) # 국제 금
|
|
inputs.append({'NAME': 'SILVER', 'CODE': 'CMDT_SI','URL': 'http://finance.naver.com/marketindex/worldDailyQuote.nhn?marketindexCd=CMDT_SI&fdtc=2'}) # 국제은
|
|
inputs.append({'NAME': 'PLATINUM', 'CODE': 'CMDT_PL','URL': 'http://finance.naver.com/marketindex/worldDailyQuote.nhn?marketindexCd=CMDT_PL&fdtc=2'}) # 국제 백금
|
|
inputs.append({'NAME': 'PALADIUM', 'CODE': 'CMDT_PA','URL': 'http://finance.naver.com/marketindex/worldDailyQuote.nhn?marketindexCd=CMDT_PA&fdtc=2'}) # 국제 팔라듐
|
|
|
|
for idx in range(len(inputs)):
|
|
input = inputs[idx]
|
|
NAME = input['NAME']
|
|
CODE = input['CODE']
|
|
|
|
cursor.execute('SELECT ymd FROM ' + tableName + ' WHERE CODE=? order by ymd desc', (CODE,))
|
|
result = cursor.fetchone()
|
|
if result == None:
|
|
lastDay = self.START_DATE
|
|
else:
|
|
lastDay = result[0]
|
|
|
|
finish = False
|
|
for i in range(1, self.limit_page_count):
|
|
#html = pd.read_html(input['URL'] + '&page=%s' % i, header=0)
|
|
html = None
|
|
while True:
|
|
try:
|
|
html = pd.read_html(requests.get(input['URL'] + '&page=%s' % i, headers=self.header, timeout=30).text)
|
|
sleep(0.5)
|
|
break
|
|
except:
|
|
print(input['URL'] + '&page=%s' % i)
|
|
if i>200:
|
|
break
|
|
continue
|
|
|
|
# 마지막 페이지 까지 받기
|
|
if len(html[0].날짜.values) <= 1:
|
|
break
|
|
|
|
for j in range(0, len(html[0].values)):
|
|
item = html[0].values[j]
|
|
|
|
if item[0] <= lastDay:
|
|
finish = True
|
|
break
|
|
ymd = item[0] # 날짜
|
|
close = item[1] # 종가
|
|
diff = item[2] # 전일대비
|
|
rate = item[3] # 등락율
|
|
|
|
cursor.execute('SELECT * FROM ' + tableName + ' WHERE CODE=? and ymd=?', (CODE,ymd,))
|
|
result = cursor.fetchone()
|
|
if result == None:
|
|
cursor.execute("INSERT INTO " + tableName + "(CODE, NAME, ymd, close, diff, rate) VALUES(?, ?, ?, ?, ?, ?)", (CODE, NAME, ymd, close, diff, rate))
|
|
else:
|
|
# cursor.execute("UPDATE " + tableName + " SET close=?, diff=?, rate=? WHERE CODE=? and ymd=?", (close, diff, rate, CODE, ymd))
|
|
finish = True
|
|
break
|
|
|
|
print("{}. {} {} ({})".format(idx, ymd, CODE, NAME))
|
|
if finish:
|
|
break
|
|
|
|
conn.commit()
|
|
cursor.close()
|
|
conn.close()
|
|
return
|
|
|
|
if __name__ == "__main__":
|
|
PROJECT_HOME = os.path.join(os.path.dirname(os.path.join(os.path.dirname(os.path.join(os.path.dirname(os.path.join(os.path.dirname(__file__))))))))
|
|
|
|
metaCrawler = MetaCrawler()
|
|
|
|
print("\n[환율 (USD, JPY, EUR, CNY)]")
|
|
inFileName = PROJECT_HOME + '/resources/stock.db'
|
|
metaCrawler.crawl_exchange(inFileName)
|
|
|
|
print("\n[투자자별 매매동향(Trading_Trend)]")
|
|
inFileName = PROJECT_HOME + '/resources/stock.db'
|
|
metaCrawler.crawl_trading_trend(inFileName)
|
|
|
|
print("\n[증시자금동향 (신용잔고, 펀드자금 잔고)]")
|
|
inFileName = PROJECT_HOME + '/resources/stock.db'
|
|
metaCrawler.crawl_money_trend(inFileName)
|
|
|
|
print("\n[국내 시장금리]")
|
|
inFileName = PROJECT_HOME + '/resources/stock.db'
|
|
metaCrawler.crawl_interest_rates(inFileName)
|
|
|
|
print("\n[원유 (WTI), 국제금, COPPER, NATURALGAS, CORN, SOYBEAN]")
|
|
inFileName = PROJECT_HOME + '/resources/stock.db'
|
|
metaCrawler.crawl_meterials(inFileName)
|
|
|