def do_sent(self, line):
self.lastcmd = ""
print sent.sent()
def index():
if request.method == 'GET':
return render_template('index.html')
else:
cities = [['Seattle', 47.61, -122.333]]
cities.append(['San Francisco', 37.78, -122.417])
cities.append(['Los Angeles', 34.05, -118.25])
cities.append(['Chicago', 41.837, -87.685])
cities.append(['Dallas', 32.7767, -96.80])
cities.append(['Atlanta', 33.755, -84.39])
cities.append(['New York', 40.79, -73.96])
cities.append(['Washington D.C.', 38.905, -77.016])
cities.append(['Boston', 42.36, -71.06])
cities.append(['Miami', 25.775, -80.21])
max_range = 500 # kilometers
num_results = 20
outfile = "outputpa.csv"
search = request.form['key']
twitter = Twitter(auth=OAuth(auth.at, auth.ats, auth.ck, auth.cs))
csvfile = file(outfile, "w")
csvwriter = csv.writer(csvfile)
row = ["user", "text", "latitude", "longitude", "v", "a", "d"]
csvwriter.writerow(row)
total_result_count = 0
last_id = None
vlist = []
alist = []
dlist = []
for city in cities:
result_count = 0
tried = 0
while tried == 0:
#while result_count == 0:
#while result_count < num_results:
tried = 1
app.vars['latitude'] = city[1]
app.vars['longitude'] = city[2]
query = twitter.search.tweets(
q=search,
geocode="%f,%f,%dkm" %
(app.vars['latitude'], app.vars['longitude'], max_range),
count=100)
for result in query["statuses"]:
if result["geo"]:
result_count += 1
total_result_count += 1
user = result["user"]["screen_name"]
text = result["text"]
text = text.encode('ascii', 'replace')
latitude = result["geo"]["coordinates"][0]
longitude = result["geo"]["coordinates"][1]
sentiment_score = sent.sent(text)
v = sentiment_score[0]
a = sentiment_score[1]
d = sentiment_score[2]
row = [user, text, latitude, longitude, v, a, d]
vlist.append(v)
alist.append(a)
dlist.append(d)
csvwriter.writerow(row)
last_id = result["id"]
print "got %d results" % total_result_count
csvfile.close()
#command = 'curl -v -F file=@/Users/samnolen/DataIncubatorProject/outputsw.csv "' + my_cartodb_url + my_cartodb_api_key + '"'
#call([command], shell=True)
#print(cl)
#fi = FileImport("output.csv", cl)
#fi.run()
# - now create map - #
#make_map = execjs.compile("""
# var mapconfig = {
# "version": "1.3.1",
# "layers": [{
# "type": "cartodb",
# "options": {
# "cartocss_version": "2.1.1",
# "cartocss": "#layer { polygon-fill: #FFF; }",
# "sql": "select * from european_countries_e"
# }
# }]
# }
# $.ajax({
# crossOrigin: true,
# type: 'POST',
# dataType: 'json',
# contentType: 'application/json',
# url: 'https://samnolen.cartodb.com/api/v1/map',
# data: JSON.stringify(mapconfig),
# success: function(data) {
# var templateUrl = 'https://samnolen.cartodb.com/api/v1/map/' + data.layergroupid + '/{z}/{x}/{y}.png'
# console.log(templateUrl);
# }
# })
#""")
#make_map.call()
#bins = np.arange(0, 10, 0.25)
#plt.hist(vlist, bins=bins, alpha=0.5)
#plt.title('Valence')
#plt.show()
p1 = figure(title="Valence",
tools="pan,wheel_zoom,box_zoom,reset,resize,previewsave",
plot_width=300,
plot_height=300,
background_fill_color="#E8DDCB")
hist1, edges1 = np.histogram(vlist, density=True, bins=50)
p1.quad(top=hist1,
bottom=0,
left=edges1[:-1],
right=edges1[1:],
fill_color="#036564",
line_color="#033649")
p2 = figure(title="Arousal",
tools="pan,wheel_zoom,box_zoom,reset,resize,previewsave",
plot_width=300,
plot_height=300,
background_fill_color="#E8DDCB")
hist2, edges2 = np.histogram(alist, density=True, bins=50)
p2.quad(top=hist2,
bottom=0,
left=edges2[:-1],
right=edges2[1:],
fill_color="#036564",
line_color="#033649")
p3 = figure(title="Dominance",
tools="pan,wheel_zoom,box_zoom,reset,resize,previewsave",
plot_width=300,
plot_height=300,
background_fill_color="#E8DDCB")
hist3, edges3 = np.histogram(dlist, density=True, bins=50)
p3.quad(top=hist2,
bottom=0,
left=edges3[:-1],
right=edges3[1:],
fill_color="#036564",
line_color="#033649")
tri = gridplot([[p1, p2, p3]])
script, my_plot_div = components(tri)
return render_template('result.html',
script=script,
my_div=my_plot_div)
def index():
if request.method == 'GET':
return render_template('index.html')
else:
cities = [['Seattle', 47.61, -122.333]]
cities.append(['San Francisco', 37.78, -122.417])
cities.append(['Los Angeles', 34.05, -118.25])
cities.append(['Chicago', 41.837, -87.685])
cities.append(['Dallas', 32.7767, -96.80])
cities.append(['Atlanta', 33.755, -84.39])
cities.append(['New York', 40.79, -73.96])
cities.append(['Washington D.C.', 38.905, -77.016])
cities.append(['Boston', 42.36, -71.06])
cities.append(['Miami', 25.775, -80.21])
max_range = 500 # kilometers
num_results = 20
outfile = "outputpa.csv"
search = request.form['key']
twitter = Twitter(auth=OAuth(auth.at, auth.ats, auth.ck, auth.cs))
csvfile = file(outfile, "w")
csvwriter = csv.writer(csvfile)
row = ["user", "text", "latitude", "longitude", "v", "a", "d"]
csvwriter.writerow(row)
total_result_count = 0
last_id = None
vlist = []
alist = []
dlist = []
for city in cities:
result_count = 0
tried = 0
while tried == 0:
#while result_count == 0:
#while result_count < num_results:
tried = 1
app.vars['latitude'] = city[1]
app.vars['longitude'] = city[2]
query = twitter.search.tweets(q = search, geocode = "%f,%f,%dkm" % (
app.vars['latitude'], app.vars['longitude'], max_range), count = 100)
for result in query["statuses"]:
if result["geo"]:
result_count +=1
total_result_count +=1
user = result["user"]["screen_name"]
text = result["text"]
text = text.encode('ascii', 'replace')
latitude = result["geo"]["coordinates"][0]
longitude = result["geo"]["coordinates"][1]
sentiment_score = sent.sent(text)
v = sentiment_score[0]
a = sentiment_score[1]
d = sentiment_score[2]
row = [user, text, latitude, longitude, v, a, d]
vlist.append(v)
alist.append(a)
dlist.append(d)
csvwriter.writerow(row)
last_id = result["id"]
print "got %d results" % total_result_count
csvfile.close()
#command = 'curl -v -F file=@/Users/samnolen/DataIncubatorProject/outputsw.csv "' + my_cartodb_url + my_cartodb_api_key + '"'
#call([command], shell=True)
#print(cl)
#fi = FileImport("output.csv", cl)
#fi.run()
# - now create map - #
#make_map = execjs.compile("""
# var mapconfig = {
# "version": "1.3.1",
# "layers": [{
# "type": "cartodb",
# "options": {
# "cartocss_version": "2.1.1",
# "cartocss": "#layer { polygon-fill: #FFF; }",
# "sql": "select * from european_countries_e"
# }
# }]
# }
# $.ajax({
# crossOrigin: true,
# type: 'POST',
# dataType: 'json',
# contentType: 'application/json',
# url: 'https://samnolen.cartodb.com/api/v1/map',
# data: JSON.stringify(mapconfig),
# success: function(data) {
# var templateUrl = 'https://samnolen.cartodb.com/api/v1/map/' + data.layergroupid + '/{z}/{x}/{y}.png'
# console.log(templateUrl);
# }
# })
#""")
#make_map.call()
#bins = np.arange(0, 10, 0.25)
#plt.hist(vlist, bins=bins, alpha=0.5)
#plt.title('Valence')
#plt.show()
p1 = figure(title="Valence",tools="pan,wheel_zoom,box_zoom,reset,resize,previewsave",
plot_width=300,plot_height=300,background_fill_color="#E8DDCB")
hist1, edges1 = np.histogram(vlist, density=True, bins=50)
p1.quad(top=hist1, bottom=0, left=edges1[:-1], right=edges1[1:],
fill_color="#036564", line_color="#033649")
p2 = figure(title="Arousal",tools="pan,wheel_zoom,box_zoom,reset,resize,previewsave",
plot_width=300,plot_height=300,background_fill_color="#E8DDCB")
hist2, edges2 = np.histogram(alist, density=True, bins=50)
p2.quad(top=hist2, bottom=0, left=edges2[:-1], right=edges2[1:],
fill_color="#036564", line_color="#033649")
p3 = figure(title="Dominance",tools="pan,wheel_zoom,box_zoom,reset,resize,previewsave",
plot_width=300,plot_height=300,background_fill_color="#E8DDCB")
hist3, edges3 = np.histogram(dlist, density=True, bins=50)
p3.quad(top=hist2, bottom=0, left=edges3[:-1], right=edges3[1:],
fill_color="#036564", line_color="#033649")
tri = gridplot([[p1, p2, p3]])
script, my_plot_div = components(tri)
return render_template('result.html', script = script, my_div=my_plot_div)