69 lines
2.1 KiB
Python
69 lines
2.1 KiB
Python
import os
|
|
import shutil
|
|
import datetime
|
|
|
|
from stockpredictor.crawler.toSQLite.MetaCrawler import MetaCrawler
|
|
from stockpredictor.crawler.toSQLite.StockCrawler import StockCrawler
|
|
from stockpredictor.analysis.Analyzer import Analyzer
|
|
|
|
today = datetime.datetime.now().strftime("%Y-%m-%d")
|
|
|
|
# DB Browser for SQLite: http://hleecaster.com/python-sqlite3/
|
|
|
|
PROJECT_HOME = "../../.."
|
|
|
|
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'
|
|
crawler.crawl_stocks(inFileName)
|
|
|
|
print("\n[투자자별 매매동향(Trading_Trend)]")
|
|
inFileName = PROJECT_HOME + '/resources/meta_2.db'
|
|
crawler.crawl_trading_trend(inFileName)
|
|
|
|
print("\n[증시자금동향 (신용잔고, 펀드자금 잔고)]")
|
|
inFileName = PROJECT_HOME + '/resources/meta_3.db'
|
|
crawler.crawl_money_trend(inFileName)
|
|
|
|
print("\n[국내 시장금리]")
|
|
inFileName = PROJECT_HOME + '/resources/meta_4.db'
|
|
crawler.crawl_interest_rates(inFileName)
|
|
|
|
print("\n[종목 다운로드]")
|
|
inFileName = PROJECT_HOME + '/resources/stock.db'
|
|
crawler = StockCrawler()
|
|
crawler.crawl_etf_stocks(inFileName)
|
|
crawler.crawl_stocks(inFileName)
|
|
|
|
print("\n[지수 저장]")
|
|
kospiFileName = PROJECT_HOME + '/resources/kospi.tsv'
|
|
kosdakFileName = PROJECT_HOME + '/resources/kosdak.tsv'
|
|
outFileName = PROJECT_HOME + '/resources/stock.db'
|
|
crawler = StockCrawler()
|
|
crawler.saveIndex("KOSPI", kospiFileName, outFileName)
|
|
crawler.saveIndex("KOSDAK", kosdakFileName, outFileName)
|
|
|
|
print("\n[종목 분석]")
|
|
# S: 분석까지 진행
|
|
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
|
|
if os.path.isdir(outPath):
|
|
shutil.rmtree(outPath)
|
|
os.mkdir(outPath)
|
|
print("print to Html...")
|
|
analyzer.analyzeToHtml(outPath)
|
|
# E: 분석까지 진행
|
|
|
|
print ("done...") |