def articles():
page = int(request.args.get('page'))
page_size = int(request.args.get('page_size'))
language = request.args.get('language')
query = request.args.get('query')
resp = simplejson.dumps(
get_articles(language=language,
query=query,
page=page,
page_size=page_size))
return resp
def get_data_random():
wb = xlrd.open_workbook("stocks.xlsx") # CHANGE THIS!!!!!!!
sheet = wb.sheet_by_index(0)
ticker = (sheet.cell_value(randint(6, (sheet.nrows)), 1))
date = (str)(datetime.fromtimestamp(int(randint(
1512108000, 1600491600))).date()) # between 2017 and now
company_name = ""
sector = ""
for i in range(5, sheet.nrows, 1):
if sheet.cell_value(i, 1) == ticker:
company_name = sheet.cell_value(i, 0)
sector = sheet.cell_value(i, 5)
[opens, highs, lows, volumes, dates] = getChartData(ticker, date)
#
data = {}
vehical_data = {"data": [data]}
data['ticker'] = ticker
data['company-name'] = company_name
data['sector'] = sector
name = 'volume'
data[name] = volumes
data['open'] = opens
data['high'] = highs
data['low'] = lows
data['dates'] = dates
data['twitter'] = analyze_tweets(company_name)
# data['dividend'] = get_dividend(ticker, date)
# data['earnings'] = get_earnings(ticker, date)
# data['ratioPerTime'] = calculate_ratios(ticker)["ratiosPerTime"]
word_freq_list = news.get_frq_words(news.get_articles(company_name, date))
print(word_freq_list)
words = []
freq = []
for a in word_freq_list:
words.append(a[0])
freq.append(a[1])
data['news-words'] = words
data['news-frequency'] = freq
x = jsonify(vehical_data)
return build_actual_response(x)
def search():
city = ui.get_city()
restaurants = rest.get_restaurants(city)
news_articles = news.get_articles(city)
weather_forecast = weather.get_forecast(city)
ui.display(restaurants, news_articles, weather_forecast)
# figure out if user wants to save
if user_wants_to_save:
db.save(restaurants, news_articles, weather_forecast)
def get_data(ticker, date):
[opens, highs, lows, volumes, dates] = getChartData(ticker, date)
wb = xlrd.open_workbook("stocks.xlsx") # CHANGE THIS!!!!!!!
sheet = wb.sheet_by_index(0)
company_name = ""
sector = ""
for i in range(5, sheet.nrows, 1):
if sheet.cell_value(i, 1) == ticker:
company_name = sheet.cell_value(i, 0)
sector = sheet.cell_value(i, 5)
print(sector)
data = {}
vehical_data = {"data": [data]}
name = 'volume'
data['company-name'] = company_name
data['sector'] = sector
data['ticker'] = ticker
data[name] = volumes
data['open'] = opens
data['high'] = highs
data['low'] = lows
data['dates'] = dates
data['twitter'] = analyze_tweets(company_name)
word_freq_list = news.get_frq_words(news.get_articles(company_name, date))
# print("-----------------------------------------------------------------------")
#
# print(word_freq_list)
#
words = []
freq = []
for a in word_freq_list:
words.append(a[0])
freq.append(a[1])
data['news-words'] = words
data['news-frequency'] = freq
# print(words)
# print(freq)
x = jsonify(vehical_data)
return build_actual_response(x)
def hello_world():
articles = get_articles()
return render_template("index.html", articles=articles)