init
This commit is contained in:
dosangyoon
@@ -568,12 +568,6 @@ class Analyzer:
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cursor.execute('SELECT CODE, NAME, PRICE, STOCHASTIC, BOLINGERBAND FROM ' + self.tableName + ' WHERE rowid=?', (rowid,))
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cursor.execute('SELECT CODE, NAME, PRICE, STOCHASTIC, BOLINGERBAND FROM ' + self.tableName + ' WHERE rowid=?', (rowid,))
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result = cursor.fetchone()
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result = cursor.fetchone()
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outFp = open("inout.cvs", mode='w')
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for check_index in range(365):
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idx = 365 - check_index - 1
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outFp.write("%d,%d,%d,%4.2f\n" % (idx, inde_check[idx][0], inde_check[idx][1], inde_check[idx][0]*100/(inde_check[idx][0]+inde_check[idx][1])))
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outFp.close()
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cursor.close()
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cursor.close()
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conn.close()
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conn.close()
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@@ -34,15 +34,13 @@ class AnalyzerSqlite:
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common = None
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common = None
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stockFileName = None
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stockFileName = None
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fnguideFileName = None
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analyzedFileName = None
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analyzedFileName = None
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moving_avg = None
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moving_avg = None
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def __init__(self, PROJECT_HOME, stockFileName, fnguideFileName):
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def __init__(self, PROJECT_HOME, stockFileName):
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self.PROJECT_HOME = PROJECT_HOME
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self.PROJECT_HOME = PROJECT_HOME
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self.stockFileName = stockFileName
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self.stockFileName = stockFileName
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self.fnguideFileName = fnguideFileName
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self.common = Common()
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self.common = Common()
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@@ -50,8 +48,8 @@ class AnalyzerSqlite:
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self.bolingerBand = BolingerBand()
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self.bolingerBand = BolingerBand()
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self.ichimokuCloud = IchimokuCloud()
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self.ichimokuCloud = IchimokuCloud()
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self.top500 = self.getTop500(fnguideFileName)
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self.top500 = self.getTop500(stockFileName)
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self.fnguide = self.readFnguide(fnguideFileName)
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self.fnguide = self.readFnguide(stockFileName)
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return
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return
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@@ -426,6 +424,8 @@ class AnalyzerSqlite:
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self.makeDir("1_거래량_상승")
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self.makeDir("1_거래량_상승")
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self.makeDir("1_코로나_근접")
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self.makeDir("1_코로나_근접")
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self.makeDir("1_저점_매수")
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self.makeDir("1_저점_매수관심")
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return
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return
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@@ -733,6 +733,18 @@ class AnalyzerSqlite:
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type = "1_코로나_근접"
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type = "1_코로나_근접"
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self.writeFile(type, CODE, NAME, top, stock, state)
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self.writeFile(type, CODE, NAME, top, stock, state)
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if len(close) > 50:
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if avg5[0]<avg20[0]<avg60[0]:
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if close[0] <= bolingerband_lower[0]:
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type = "8_저점_매수관심"
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self.writeFile(type, CODE, NAME, top, stock, state)
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if len(close) > 50:
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if avg5[0]<avg20[0]<avg60[0]<avg120[0]<avg240[0]:
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if close[0] <= bolingerband_lower[0]:
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type = "9_저점_매수"
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self.writeFile(type, CODE, NAME, top, stock, state)
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return
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return
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def get_moving_average(self, stock):
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def get_moving_average(self, stock):
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@@ -857,8 +869,7 @@ if __name__ == "__main__":
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PROJECT_HOME = os.path.join(os.path.dirname(os.path.join(os.path.dirname(os.path.join(os.path.dirname(__file__))))))
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PROJECT_HOME = os.path.join(os.path.dirname(os.path.join(os.path.dirname(os.path.join(os.path.dirname(__file__))))))
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stockFileName = PROJECT_HOME + '/resources/stock.db'
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stockFileName = PROJECT_HOME + '/resources/stock.db'
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fnguideFileName = PROJECT_HOME + '/resources/fnguide.db'
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analyzer = AnalyzerSqlite(PROJECT_HOME, stockFileName)
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analyzer = AnalyzerSqlite(PROJECT_HOME, stockFileName, fnguideFileName)
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#analyzer.analyze()
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#analyzer.analyze()
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@@ -211,10 +211,7 @@ class FnGuideCrawler:
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return
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return
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if __name__ == "__main__":
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if __name__ == "__main__":
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crawler = FnGuideCrawler()
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#crawler.get_fnguide_table('155660')
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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__))))))))
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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__))))))))
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inFnguideFileName = PROJECT_HOME + '/resources/fnguide.db'
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inFnguideFileName = PROJECT_HOME + '/resources/stock.db'
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crawler = FnGuideCrawler()
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crawler = FnGuideCrawler()
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crawler.crawl_fnguide(inFnguideFileName)
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crawler.crawl_fnguide(inFnguideFileName)
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@@ -1,4 +1,4 @@
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import json
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import os
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import datetime
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import datetime
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import requests
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import requests
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import sqlite3
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import sqlite3
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@@ -12,75 +12,6 @@ class MetaCrawler:
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def __init__(self):
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def __init__(self):
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return
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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_meterials(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, 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':'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':'GOLD', 'CODE':'CMDT_GC', 'URL':'http://finance.naver.com/marketindex/worldDailyQuote.nhn?marketindexCd=CMDT_GC&fdtc=2'} ) # 국제 금
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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
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inputs.append({'NAME': 'NATURALGAS', 'CODE': 'CMDT_NG','URL': 'http://finance.naver.com/marketindex/worldDailyQuote.nhn?marketindexCd=CMDT_NG&fdtc=2'}) # 천연가스
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inputs.append({'NAME': 'CORN', 'CODE': 'CMDT_C','URL': 'http://finance.naver.com/marketindex/worldDailyQuote.nhn?marketindexCd=CMDT_C&fdtc=2'}) # 국제 옥수수
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inputs.append({'NAME': 'SOYBEAN', 'CODE': 'CMDT_S','URL': 'http://finance.naver.com/marketindex/worldDailyQuote.nhn?marketindexCd=CMDT_S&fdtc=2'}) # 국제 대두
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for i in range(len(inputs)):
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input = inputs[i]
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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 = "1900.01.01"
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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 = pd.read_html(requests.get(input['URL'] + '&page=%s' % i, headers=self.header).text)
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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 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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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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print(CODE, NAME, ymd)
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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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# 참고) http://blog.naver.com/PostView.nhn?blogId=koko8624&logNo=221288761509
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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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def crawl_exchange(self, inFileName):
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tableName = 'meta_1'
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tableName = 'meta_1'
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@@ -171,6 +102,10 @@ class MetaCrawler:
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# 테이블 생성
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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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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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cursor.execute('SELECT ymd FROM ' + tableName + ' order by ymd desc')
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result = cursor.fetchone()
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result = cursor.fetchone()
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if result == None:
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if result == None:
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@@ -365,3 +300,98 @@ class MetaCrawler:
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cursor.close()
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cursor.close()
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conn.close()
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conn.close()
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return
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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_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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# 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, NAME, ymd) "
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cursor.execute(create_key)
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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':'GOLD', 'CODE':'CMDT_GC', 'URL':'http://finance.naver.com/marketindex/worldDailyQuote.nhn?marketindexCd=CMDT_GC&fdtc=2'} ) # 국제 금
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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
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inputs.append({'NAME': 'NATURALGAS', 'CODE': 'CMDT_NG','URL': 'http://finance.naver.com/marketindex/worldDailyQuote.nhn?marketindexCd=CMDT_NG&fdtc=2'}) # 천연가스
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inputs.append({'NAME': 'CORN', 'CODE': 'CMDT_C','URL': 'http://finance.naver.com/marketindex/worldDailyQuote.nhn?marketindexCd=CMDT_C&fdtc=2'}) # 국제 옥수수
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inputs.append({'NAME': 'SOYBEAN', 'CODE': 'CMDT_S','URL': 'http://finance.naver.com/marketindex/worldDailyQuote.nhn?marketindexCd=CMDT_S&fdtc=2'}) # 국제 대두
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for i in range(len(inputs)):
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input = inputs[i]
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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 = "1900.01.01"
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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 = pd.read_html(requests.get(input['URL'] + '&page=%s' % i, headers=self.header).text)
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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 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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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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print(CODE, NAME, ymd)
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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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if __name__ == "__main__":
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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__))))))))
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metaCrawler = MetaCrawler()
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print("\n[환율 (USD, JPY, EUR, CNY)]")
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inFileName = PROJECT_HOME + '/resources/stock.db'
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metaCrawler.crawl_exchange(inFileName)
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print("\n[투자자별 매매동향(Trading_Trend)]")
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inFileName = PROJECT_HOME + '/resources/stock.db'
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metaCrawler.crawl_trading_trend(inFileName)
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print("\n[증시자금동향 (신용잔고, 펀드자금 잔고)]")
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inFileName = PROJECT_HOME + '/resources/stock.db'
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metaCrawler.crawl_money_trend(inFileName)
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print("\n[국내 시장금리]")
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inFileName = PROJECT_HOME + '/resources/stock.db'
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metaCrawler.crawl_interest_rates(inFileName)
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print("\n[원유 (WTI), 국제금, COPPER, NATURALGAS, CORN, SOYBEAN]")
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inFileName = PROJECT_HOME + '/resources/stock.db'
|
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metaCrawler.crawl_meterials(inFileName)
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|
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|||||||
@@ -1,365 +0,0 @@
|
|||||||
364,1186,1339,46.97
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|
||||||
363,1086,1439,43.01
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|
||||||
362,805,1720,31.88
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|
||||||
361,1121,1404,44.40
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|
||||||
360,674,1851,26.69
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359,260,2265,10.30
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358,1616,909,64.00
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357,341,2184,13.50
|
|
||||||
356,1179,1346,46.69
|
|
||||||
355,1499,1026,59.37
|
|
||||||
354,1801,724,71.33
|
|
||||||
353,925,1600,36.63
|
|
||||||
352,532,1993,21.07
|
|
||||||
351,1248,1277,49.43
|
|
||||||
350,1092,1433,43.25
|
|
||||||
349,1292,1233,51.17
|
|
||||||
348,1253,1272,49.62
|
|
||||||
347,1070,1455,42.38
|
|
||||||
346,1966,559,77.86
|
|
||||||
345,1436,1089,56.87
|
|
||||||
344,786,1739,31.13
|
|
||||||
343,1365,1160,54.06
|
|
||||||
342,1181,1344,46.77
|
|
||||||
341,1147,1378,45.43
|
|
||||||
340,1319,1206,52.24
|
|
||||||
339,904,1621,35.80
|
|
||||||
338,748,1777,29.62
|
|
||||||
337,533,1992,21.11
|
|
||||||
336,1024,1501,40.55
|
|
||||||
335,458,2067,18.14
|
|
||||||
334,395,2130,15.64
|
|
||||||
333,923,1602,36.55
|
|
||||||
332,548,1977,21.70
|
|
||||||
331,1020,1505,40.40
|
|
||||||
330,1736,789,68.75
|
|
||||||
329,1300,1225,51.49
|
|
||||||
328,1564,961,61.94
|
|
||||||
327,999,1526,39.56
|
|
||||||
326,1642,883,65.03
|
|
||||||
325,880,1645,34.85
|
|
||||||
324,1009,1516,39.96
|
|
||||||
323,810,1715,32.08
|
|
||||||
322,624,1901,24.71
|
|
||||||
321,614,1911,24.32
|
|
||||||
320,634,1891,25.11
|
|
||||||
319,873,1652,34.57
|
|
||||||
318,1320,1205,52.28
|
|
||||||
317,1416,1109,56.08
|
|
||||||
316,710,1815,28.12
|
|
||||||
315,830,1695,32.87
|
|
||||||
314,358,2167,14.18
|
|
||||||
313,1379,1146,54.61
|
|
||||||
312,1871,654,74.10
|
|
||||||
311,1634,891,64.71
|
|
||||||
310,420,2105,16.63
|
|
||||||
309,1605,920,63.56
|
|
||||||
308,1486,1039,58.85
|
|
||||||
307,914,1611,36.20
|
|
||||||
306,1647,878,65.23
|
|
||||||
305,646,1879,25.58
|
|
||||||
304,1526,999,60.44
|
|
||||||
303,995,1530,39.41
|
|
||||||
302,1137,1388,45.03
|
|
||||||
301,1059,1466,41.94
|
|
||||||
300,991,1534,39.25
|
|
||||||
299,1205,1320,47.72
|
|
||||||
298,734,1791,29.07
|
|
||||||
297,1388,1137,54.97
|
|
||||||
296,1026,1499,40.63
|
|
||||||
295,1394,1131,55.21
|
|
||||||
294,1021,1504,40.44
|
|
||||||
293,1152,1373,45.62
|
|
||||||
292,437,2088,17.31
|
|
||||||
291,1154,1371,45.70
|
|
||||||
290,1269,1256,50.26
|
|
||||||
289,855,1670,33.86
|
|
||||||
288,1153,1372,45.66
|
|
||||||
287,1100,1425,43.56
|
|
||||||
286,858,1667,33.98
|
|
||||||
285,777,1748,30.77
|
|
||||||
284,797,1728,31.56
|
|
||||||
283,855,1670,33.86
|
|
||||||
282,1343,1182,53.19
|
|
||||||
281,1351,1174,53.50
|
|
||||||
280,1314,1211,52.04
|
|
||||||
279,735,1790,29.11
|
|
||||||
278,904,1621,35.80
|
|
||||||
277,1253,1272,49.62
|
|
||||||
276,935,1590,37.03
|
|
||||||
275,1048,1477,41.50
|
|
||||||
274,916,1609,36.28
|
|
||||||
273,359,2166,14.22
|
|
||||||
272,892,1633,35.33
|
|
||||||
271,1320,1205,52.28
|
|
||||||
270,727,1798,28.79
|
|
||||||
269,1702,823,67.41
|
|
||||||
268,1612,913,63.84
|
|
||||||
267,1182,1343,46.81
|
|
||||||
266,1470,1055,58.22
|
|
||||||
265,872,1653,34.53
|
|
||||||
264,1270,1255,50.30
|
|
||||||
263,687,1838,27.21
|
|
||||||
262,435,2090,17.23
|
|
||||||
261,1260,1265,49.90
|
|
||||||
260,1375,1150,54.46
|
|
||||||
259,1297,1228,51.37
|
|
||||||
258,653,1872,25.86
|
|
||||||
257,639,1886,25.31
|
|
||||||
256,1721,804,68.16
|
|
||||||
255,1295,1230,51.29
|
|
||||||
254,1213,1312,48.04
|
|
||||||
253,863,1662,34.18
|
|
||||||
252,1360,1165,53.86
|
|
||||||
251,656,1869,25.98
|
|
||||||
250,682,1843,27.01
|
|
||||||
249,880,1645,34.85
|
|
||||||
248,278,2247,11.01
|
|
||||||
247,1975,550,78.22
|
|
||||||
246,1364,1161,54.02
|
|
||||||
245,1142,1383,45.23
|
|
||||||
244,774,1751,30.65
|
|
||||||
243,1001,1524,39.64
|
|
||||||
242,873,1652,34.57
|
|
||||||
241,902,1623,35.72
|
|
||||||
240,1323,1202,52.40
|
|
||||||
239,1390,1135,55.05
|
|
||||||
238,1062,1463,42.06
|
|
||||||
237,1162,1363,46.02
|
|
||||||
236,717,1808,28.40
|
|
||||||
235,895,1630,35.45
|
|
||||||
234,794,1731,31.45
|
|
||||||
233,987,1538,39.09
|
|
||||||
232,297,2228,11.76
|
|
||||||
231,1538,987,60.91
|
|
||||||
230,1138,1387,45.07
|
|
||||||
229,760,1765,30.10
|
|
||||||
228,1706,819,67.56
|
|
||||||
227,1169,1356,46.30
|
|
||||||
226,1274,1251,50.46
|
|
||||||
225,617,1908,24.44
|
|
||||||
224,794,1731,31.45
|
|
||||||
223,544,1981,21.54
|
|
||||||
222,1659,866,65.70
|
|
||||||
221,1587,938,62.85
|
|
||||||
220,1173,1352,46.46
|
|
||||||
219,1278,1247,50.61
|
|
||||||
218,1043,1482,41.31
|
|
||||||
217,1141,1384,45.19
|
|
||||||
216,1728,797,68.44
|
|
||||||
215,906,1619,35.88
|
|
||||||
214,563,1962,22.30
|
|
||||||
213,1427,1098,56.51
|
|
||||||
212,1271,1254,50.34
|
|
||||||
211,1114,1411,44.12
|
|
||||||
210,945,1580,37.43
|
|
||||||
209,1358,1167,53.78
|
|
||||||
208,1041,1484,41.23
|
|
||||||
207,1150,1375,45.54
|
|
||||||
206,1035,1490,40.99
|
|
||||||
205,1195,1330,47.33
|
|
||||||
204,901,1624,35.68
|
|
||||||
203,1307,1218,51.76
|
|
||||||
202,1222,1303,48.40
|
|
||||||
201,1323,1202,52.40
|
|
||||||
200,1222,1303,48.40
|
|
||||||
199,1185,1340,46.93
|
|
||||||
198,1174,1351,46.50
|
|
||||||
197,956,1569,37.86
|
|
||||||
196,1134,1391,44.91
|
|
||||||
195,1109,1416,43.92
|
|
||||||
194,1440,1085,57.03
|
|
||||||
193,771,1754,30.53
|
|
||||||
192,1094,1431,43.33
|
|
||||||
191,1191,1334,47.17
|
|
||||||
190,1189,1336,47.09
|
|
||||||
189,947,1578,37.50
|
|
||||||
188,536,1989,21.23
|
|
||||||
187,903,1622,35.76
|
|
||||||
186,814,1711,32.24
|
|
||||||
185,927,1598,36.71
|
|
||||||
184,1178,1347,46.65
|
|
||||||
183,1632,893,64.63
|
|
||||||
182,1394,1131,55.21
|
|
||||||
181,1381,1144,54.69
|
|
||||||
180,1147,1378,45.43
|
|
||||||
179,591,1934,23.41
|
|
||||||
178,1344,1181,53.23
|
|
||||||
177,1191,1334,47.17
|
|
||||||
176,695,1830,27.52
|
|
||||||
175,1527,998,60.48
|
|
||||||
174,1239,1286,49.07
|
|
||||||
173,621,1904,24.59
|
|
||||||
172,672,1853,26.61
|
|
||||||
171,1581,944,62.61
|
|
||||||
170,1317,1208,52.16
|
|
||||||
169,1230,1295,48.71
|
|
||||||
168,1352,1173,53.54
|
|
||||||
167,1284,1241,50.85
|
|
||||||
166,1311,1214,51.92
|
|
||||||
165,1099,1426,43.52
|
|
||||||
164,1217,1308,48.20
|
|
||||||
163,1115,1410,44.16
|
|
||||||
162,867,1658,34.34
|
|
||||||
161,941,1584,37.27
|
|
||||||
160,848,1677,33.58
|
|
||||||
159,1320,1205,52.28
|
|
||||||
158,1197,1328,47.41
|
|
||||||
157,1023,1502,40.51
|
|
||||||
156,1078,1447,42.69
|
|
||||||
155,1345,1180,53.27
|
|
||||||
154,1226,1299,48.55
|
|
||||||
153,1171,1354,46.38
|
|
||||||
152,835,1690,33.07
|
|
||||||
151,1146,1379,45.39
|
|
||||||
150,793,1732,31.41
|
|
||||||
149,946,1579,37.47
|
|
||||||
148,1240,1285,49.11
|
|
||||||
147,1265,1260,50.10
|
|
||||||
146,920,1605,36.44
|
|
||||||
145,1200,1325,47.52
|
|
||||||
144,997,1528,39.49
|
|
||||||
143,987,1538,39.09
|
|
||||||
142,1116,1409,44.20
|
|
||||||
141,1218,1307,48.24
|
|
||||||
140,868,1657,34.38
|
|
||||||
139,475,2050,18.81
|
|
||||||
138,999,1526,39.56
|
|
||||||
137,1590,935,62.97
|
|
||||||
136,1458,1067,57.74
|
|
||||||
135,1001,1524,39.64
|
|
||||||
134,1221,1304,48.36
|
|
||||||
133,1020,1505,40.40
|
|
||||||
132,809,1716,32.04
|
|
||||||
131,1505,1020,59.60
|
|
||||||
130,627,1898,24.83
|
|
||||||
129,1258,1267,49.82
|
|
||||||
128,1199,1326,47.49
|
|
||||||
127,601,1924,23.80
|
|
||||||
126,1261,1264,49.94
|
|
||||||
125,827,1698,32.75
|
|
||||||
124,1270,1255,50.30
|
|
||||||
123,617,1908,24.44
|
|
||||||
122,1074,1451,42.53
|
|
||||||
121,893,1632,35.37
|
|
||||||
120,1766,759,69.94
|
|
||||||
119,1495,1030,59.21
|
|
||||||
118,914,1611,36.20
|
|
||||||
117,805,1720,31.88
|
|
||||||
116,675,1850,26.73
|
|
||||||
115,890,1635,35.25
|
|
||||||
114,1036,1489,41.03
|
|
||||||
113,514,2011,20.36
|
|
||||||
112,394,2131,15.60
|
|
||||||
111,1912,613,75.72
|
|
||||||
110,389,2136,15.41
|
|
||||||
109,320,2205,12.67
|
|
||||||
108,1889,636,74.81
|
|
||||||
107,1940,585,76.83
|
|
||||||
106,1088,1437,43.09
|
|
||||||
105,865,1660,34.26
|
|
||||||
104,1662,863,65.82
|
|
||||||
103,1132,1393,44.83
|
|
||||||
102,1238,1287,49.03
|
|
||||||
101,1597,928,63.25
|
|
||||||
100,1036,1489,41.03
|
|
||||||
99,1307,1218,51.76
|
|
||||||
98,1046,1479,41.43
|
|
||||||
97,1043,1482,41.31
|
|
||||||
96,777,1748,30.77
|
|
||||||
95,922,1603,36.51
|
|
||||||
94,1359,1166,53.82
|
|
||||||
93,663,1862,26.26
|
|
||||||
92,1542,983,61.07
|
|
||||||
91,976,1549,38.65
|
|
||||||
90,707,1818,28.00
|
|
||||||
89,1207,1318,47.80
|
|
||||||
88,819,1706,32.44
|
|
||||||
87,1026,1499,40.63
|
|
||||||
86,1335,1190,52.87
|
|
||||||
85,530,1995,20.99
|
|
||||||
84,1599,926,63.33
|
|
||||||
83,1408,1117,55.76
|
|
||||||
82,533,1992,21.11
|
|
||||||
81,691,1834,27.37
|
|
||||||
80,343,2182,13.58
|
|
||||||
79,2095,430,82.97
|
|
||||||
78,1015,1510,40.20
|
|
||||||
77,804,1721,31.84
|
|
||||||
76,1967,558,77.90
|
|
||||||
75,1895,630,75.05
|
|
||||||
74,1399,1126,55.41
|
|
||||||
73,1015,1510,40.20
|
|
||||||
72,1193,1332,47.25
|
|
||||||
71,870,1655,34.46
|
|
||||||
70,731,1794,28.95
|
|
||||||
69,1094,1431,43.33
|
|
||||||
68,1401,1124,55.49
|
|
||||||
67,1583,942,62.69
|
|
||||||
66,772,1753,30.57
|
|
||||||
65,802,1723,31.76
|
|
||||||
64,617,1908,24.44
|
|
||||||
63,1050,1475,41.58
|
|
||||||
62,1643,882,65.07
|
|
||||||
61,588,1937,23.29
|
|
||||||
60,599,1926,23.72
|
|
||||||
59,770,1755,30.50
|
|
||||||
58,1411,1114,55.88
|
|
||||||
57,997,1528,39.49
|
|
||||||
56,494,2031,19.56
|
|
||||||
55,1235,1290,48.91
|
|
||||||
54,1922,603,76.12
|
|
||||||
53,1483,1042,58.73
|
|
||||||
52,967,1558,38.30
|
|
||||||
51,691,1834,27.37
|
|
||||||
50,938,1587,37.15
|
|
||||||
49,1460,1065,57.82
|
|
||||||
48,1067,1458,42.26
|
|
||||||
47,1063,1462,42.10
|
|
||||||
46,1212,1313,48.00
|
|
||||||
45,794,1731,31.45
|
|
||||||
44,494,2031,19.56
|
|
||||||
43,1547,978,61.27
|
|
||||||
42,278,2247,11.01
|
|
||||||
41,2035,490,80.59
|
|
||||||
40,2081,444,82.42
|
|
||||||
39,1839,686,72.83
|
|
||||||
38,1541,984,61.03
|
|
||||||
37,1372,1153,54.34
|
|
||||||
36,730,1795,28.91
|
|
||||||
35,1631,894,64.59
|
|
||||||
34,1186,1339,46.97
|
|
||||||
33,980,1545,38.81
|
|
||||||
32,1117,1408,44.24
|
|
||||||
31,1078,1447,42.69
|
|
||||||
30,910,1615,36.04
|
|
||||||
29,1407,1118,55.72
|
|
||||||
28,553,1972,21.90
|
|
||||||
27,1243,1282,49.23
|
|
||||||
26,1035,1490,40.99
|
|
||||||
25,1106,1419,43.80
|
|
||||||
24,1290,1235,51.09
|
|
||||||
23,1135,1390,44.95
|
|
||||||
22,1184,1341,46.89
|
|
||||||
21,1553,972,61.50
|
|
||||||
20,1294,1231,51.25
|
|
||||||
19,1321,1204,52.32
|
|
||||||
18,1314,1211,52.04
|
|
||||||
17,787,1738,31.17
|
|
||||||
16,1121,1404,44.40
|
|
||||||
15,1690,835,66.93
|
|
||||||
14,700,1825,27.72
|
|
||||||
13,627,1898,24.83
|
|
||||||
12,1754,771,69.47
|
|
||||||
11,919,1606,36.40
|
|
||||||
10,1051,1474,41.62
|
|
||||||
9,557,1968,22.06
|
|
||||||
8,594,1931,23.52
|
|
||||||
7,1281,1244,50.73
|
|
||||||
6,2005,520,79.41
|
|
||||||
5,926,1599,36.67
|
|
||||||
4,476,2049,18.85
|
|
||||||
3,325,2200,12.87
|
|
||||||
2,1516,1009,60.04
|
|
||||||
1,309,2216,12.24
|
|
||||||
0,2134,391,84.51
|
|
||||||
Reference in New Issue
Block a user