init

StockCrawler.py

@@ -0,0 +1,74 @@
+import os
+import shutil
+import datetime
+import time
+from stock.crawler.FnGuideCrawler import FnGuideCrawler
+from stock.crawler.MetaCrawler import MetaCrawler
+from stock.crawler.StockCrawler import StockCrawler
+from stock.analysis.AnalyzerSqlite import AnalyzerSqlite
+
+today = datetime.datetime.now().strftime("%Y-%m-%d")
+
+# DB Browser for SQLite: http://hleecaster.com/python-sqlite3/
+
+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__))))))))
+
+START_DATE = "1900.01.01"
+start = time.time()
+stockFileName = PROJECT_HOME + '/resources/stock.db'
+
+
+# 재무제표는 3개월마다 다운로드를 한다.
+fnGuideCrawler = FnGuideCrawler(START_DATE)
+print("[KOSPI 상장기업 재무제표 다운로드]")
+fnGuideCrawler.crawl_fnguide(stockFileName)
+
+metaCrawler = MetaCrawler(START_DATE)
+print("\n[증시자금동향 (신용잔고, 펀드자금 잔고)]")
+metaCrawler.crawl_money_trend(stockFileName)
+
+print("\n[국내 시장금리]")
+metaCrawler.crawl_interest_rates(stockFileName)
+
+print("\n[투자자별 매매동향(Trading_Trend)]")
+metaCrawler.crawl_trading_trend(stockFileName)
+
+print("\n[환율 (USD, JPY, EUR, CNY)]")
+metaCrawler.crawl_exchange(stockFileName)
+
+print("\n[원유 (WTI), 국제금, COPPER, NATURALGAS, CORN, SOYBEAN]")
+metaCrawler.crawl_meterials(stockFileName)
+
+
+print("\n[종목 다운로드]")
+stockCrawler = StockCrawler(START_DATE)
+stockCrawler.crawl_etf_stocks(stockFileName)
+stockCrawler.crawl_stocks(stockFileName)
+#stockCrawler.crawl_special_stocks(stockFileName)
+
+
+print("\n[종목 분석]")
+# S: 분석까지 진행
+inFileName = PROJECT_HOME + '/resources/stock.db'
+analyzerSqlite = AnalyzerSqlite(PROJECT_HOME, stockFileName)
+
+analyzerSqlite.analyzeDaily()
+analyzerSqlite.analyzeGrouping("weekly")
+analyzerSqlite.analyzeGrouping("monthly")
+
+analyzerSqlite = AnalyzerSqlite(PROJECT_HOME, stockFileName)
+print("\n[종목 결정]")
+day = datetime.datetime.today().strftime("%Y%m%d")
+outPath = PROJECT_HOME + "/resources/analysis/" + day
+if os.path.isdir(outPath):
+    shutil.rmtree(outPath)
+os.mkdir(outPath)
+print("print to Html...")
+analyzerSqlite.findCandidate(outPath)
+# E: 분석까지 진행
+
+
+
+print("time : %6.2f 초", (time.time() - start))
+
+print ("done...")