lst = []

opener = urllib.request.build_opener()

#use Mozilla because can't access chrome due to insufficient privileges

#only use for google

#opener.addheaders = [('User-agent', 'Mozilla/5.0')]

#url for search query

url = "http://www.marketwatch.com/search?q=" + str(stock_ticker).upper() + "&m=Ticker&rpp=15&mp=2005&bd=true&bd=false&bdv=" + str(month) + "%2F" + str(day) + "%2F20" + str(year) + "&rs=true"

page = opener.open(url)

soup = BeautifulSoup(page, "html.parser")

#use beauitful soup to find all divs with the r class, which essentially

#is the same as finding all of the divs that contain each individiaul search

soup_tuple_list = zip(soup.findAll(class_="searchresult"), soup.findAll(class_="deemphasized")[1:-1])

#iterating through a tags which includes title and links

#appends the title of each individual search result to a list

#iterating through time published and publishing company

#gets rid of the prev strings at the beginning and end of the resulting list

for article, date in soup_tuple_list:

try:

time = date.contents[1][5:]

time = re.findall(r'\|.[A-Za-z ]*', time)[0]

info = date.contents[0].string + time

article.a['target']="_blank"

lst.append((article.a.encode("utf-8"),info))

except:

continue

delta_days = np.busday_count(start_date, date.today())

data['ticker'] = stock_ticker

adjusted_data = data.tail(delta_days)

source = ColumnDataSource(data=dict(

date=np.array(adjusted_data['4. close'].index, dtype=np.datetime64),

price=adjusted_data['4. close'].values,

index=adjusted_data['ticker']

))

delta_days = np.busday_count(dates[index], date.today())

adjusted_data = data.tail(delta_days)

maxVal = adjusted_data['4. close'].max()

minVal = adjusted_data['4. close'].min()

if minVal < 0:

minVal = 0

output.text = ''

div.text=''

var ticker = text_input.value;

jQuery.ajax({

type: 'POST',

url: '/update_y_data',

data: {"ticker_sent": ticker},

dataType: 'json',

success: function (json_from_server) {

var updated_price_list = json_from_server[ticker][0];

var current_date_data = json_from_server[ticker][1];

source.data['price'] = updated_price_list;

var current_price = updated_price_list[updated_price_list.length-1]

source.trigger('change');

var actual_ticker = %r;

radio_button_group.active = 5

//finance_info.text = ("<b>" + ticker.toUpperCase() + "</b>")

//finance_info.text = finance_info.text.concat("<div>" + current_price + "</div>")

},

error: function() {

output.text = "Invalid Ticker"

}

});

var x_coordinate = cb_obj['x']

var myDate = new Date(Math.trunc(cb_obj['x']));

var year = myDate.getYear() - 100;

var month = myDate.getMonth() + 1;

var day = myDate.getDate() + 1;

jQuery.ajax({

type: 'POST',

url: '/get_articles',

data: {"x_coord": x_coordinate, "day":day, "month":month,"year":year},

dataType: 'json',

success: function (json_from_server) {

div.text = ""

var list = json_from_server[x_coordinate]

for(var i =0; i < list.length; i++){

var article = list[i][0]

var info = list[i][1]

var line = "<p>" + article + "<br>" + info + "</p>"

var lines = div.text.concat(line)

div.text = lines

}

console.log("loading")

},

error: function() {

alert("Oh no, something went wrong. Search for an error " +

"message in Flask log and browser developer tools.");

}

});

var date_ints = %s;

var active_button = cb_obj.active

var stock_ticker = %r;

console.log(active_button)

jQuery.ajax({

type: 'POST',

url: '/resize_y_range',

data: {"index": active_button},

dataType: 'json',

success: function (json_from_server) {

var test = json_from_server[active_button]

fig.y_range.start = test[0];

fig.y_range.end = test[1];

fig.x_range.start = date_ints[active_button]

fig.x_range.end = date_ints[6]

},

error: function() {

alert("Oh no, something went wrong. Search for an error " +

"message in Flask log and browser developer tools.");

}

});