init

stockpredictor/crawler/toSQLite/Crawler.py

@@ -5,6 +5,7 @@ import time
 
 from stockpredictor.crawler.toSQLite.MetaCrawler import MetaCrawler
 from stockpredictor.crawler.toSQLite.StockCrawler import StockCrawler
+from stockpredictor.crawler.toSQLite.FnGuideCrawler import FnGuideCrawler
 from stockpredictor.analysis.Analyzer import Analyzer
 
 today = datetime.datetime.now().strftime("%Y-%m-%d")
@@ -14,14 +15,13 @@ today = datetime.datetime.now().strftime("%Y-%m-%d")
 PROJECT_HOME = "../../.."
 
 start = time.time()
-inFnguideFileName = PROJECT_HOME + '/resources/fnguide.db'
 """
+inFnguideFileName = PROJECT_HOME + '/resources/fnguide.db'
 crawler = FnGuideCrawler()
 print("[KOSPI 상장기업 재무제표 다운로드]")
 crawler.crawl_fnguide(inFnguideFileName)
 """
 
-
 crawler = MetaCrawler()
 print("\n[환율 (USD, JPY, EUR, CNY), 원유 (WTI), 국제금]")
 inFileName = PROJECT_HOME + '/resources/meta_1.db'
@@ -59,7 +59,6 @@ inFileName = PROJECT_HOME + '/resources/stock.db'
 analyzer = Analyzer(PROJECT_HOME, inFileName, inFnguideFileName)
 analyzer.analyze()
 
-
 print("\n[종목 결정]")
 day = datetime.datetime.today().strftime("%Y%m%d")
 outPath = PROJECT_HOME + "/resources/analysis/" + day
@@ -70,7 +69,6 @@ print("print to Html...")
 analyzer.analyzeToHtml(outPath)
 # E: 분석까지 진행
 
-
 print("time : %6.2f 초", (time.time() - start))
 
-print ("done...")
+print ("done...")

stockpredictor/crawler/toSQLite/FnGuideCrawler.py

@@ -12,7 +12,6 @@ class FnGuideCrawler:
     def getStockInfo(self):
         #code_df = pd.read_html('http://kind.krx.co.kr/corpgeneral/corpList.do?method=download&searchType=13', header=0)[0]
         code_df = pd.read_html(requests.get('http://kind.krx.co.kr/corpgeneral/corpList.do?method=download&searchType=13', headers=self.header).text)
-        # code_df = pd.read_excel('../resources/stock/상장법인목록.xls')
 
         # 종목코드가 6자리이기 때문에 6자리를 맞춰주기 위해 설정해줌
         code_df.종목코드 = code_df.종목코드.map('{:06d}'.format)