76 lines
2.4 KiB
Python
76 lines
2.4 KiB
Python
import os
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import shutil
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import datetime
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import time
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import sys
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from stockpredictor.crawler.toSQLite.MetaCrawler import MetaCrawler
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from stockpredictor.crawler.toSQLite.StockCrawler import StockCrawler
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from stockpredictor.crawler.toSQLite.FnGuideCrawler import FnGuideCrawler
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from stockpredictor.analysis.Analyzer import Analyzer
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today = datetime.datetime.now().strftime("%Y-%m-%d")
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# DB Browser for SQLite: http://hleecaster.com/python-sqlite3/
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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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start = time.time()
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inFnguideFileName = PROJECT_HOME + '/resources/fnguide.db'
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"""
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crawler = FnGuideCrawler()
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print("[KOSPI 상장기업 재무제표 다운로드]")
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crawler.crawl_fnguide(inFnguideFileName)
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"""
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crawler = MetaCrawler()
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print("\n[환율 (USD, JPY, EUR, CNY), 원유 (WTI), 국제금]")
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inFileName = PROJECT_HOME + '/resources/meta_1.db'
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crawler.crawl_stocks(inFileName)
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print("\n[투자자별 매매동향(Trading_Trend)]")
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inFileName = PROJECT_HOME + '/resources/meta_2.db'
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crawler.crawl_trading_trend(inFileName)
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print("\n[증시자금동향 (신용잔고, 펀드자금 잔고)]")
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inFileName = PROJECT_HOME + '/resources/meta_3.db'
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crawler.crawl_money_trend(inFileName)
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print("\n[국내 시장금리]")
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inFileName = PROJECT_HOME + '/resources/meta_4.db'
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crawler.crawl_interest_rates(inFileName)
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print("\n[종목 다운로드]")
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inFileName = PROJECT_HOME + '/resources/stock.db'
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crawler = StockCrawler()
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crawler.crawl_etf_stocks(inFileName)
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crawler.crawl_stocks(inFileName)
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print("\n[지수 저장]")
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kospiFileName = PROJECT_HOME + '/resources/kospi.tsv'
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kosdakFileName = PROJECT_HOME + '/resources/kosdak.tsv'
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outFileName = PROJECT_HOME + '/resources/stock.db'
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crawler = StockCrawler()
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crawler.saveIndex("KOSPI", kospiFileName, outFileName)
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crawler.saveIndex("KOSDAK", kosdakFileName, outFileName)
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print("\n[종목 분석]")
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# S: 분석까지 진행
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inFileName = PROJECT_HOME + '/resources/stock.db'
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analyzer = Analyzer(PROJECT_HOME, inFileName, inFnguideFileName)
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analyzer.analyze()
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print("\n[종목 결정]")
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day = datetime.datetime.today().strftime("%Y%m%d")
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outPath = PROJECT_HOME + "/resources/analysis/" + day
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if os.path.isdir(outPath):
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shutil.rmtree(outPath)
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os.mkdir(outPath)
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print("print to Html...")
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analyzer.analyzeToHtml(outPath)
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# E: 분석까지 진행
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print("time : %6.2f 초", (time.time() - start))
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print ("done...")
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