def covid_ratio():
df = {}
rows = []
cols = []
for item in db.view('views/covid-19',
group=True,
group_level=2,
stale="update_after"):
city = item.key[0]
category = item.key[1]
value = item.value
if category == 'covid-19':
df[city] = value
for key, value in df.items():
for k, v in total_tw().items():
if key == k:
covid_ratio = value / v
rows.append({'c': [{'v': key}, {'v': covid_ratio}]})
pairs = [('', 'Tweet', 'string'), ('', 'COVID-19', 'number')]
for pair in pairs:
cols.append({'id': pair[0], 'label': pair[1], 'type': pair[2]})
response = {'cols': cols, 'rows': rows}
return jsonify(response)
def map_data():
rows = []
for item in db.view('coordinates/sentiment'):
for each in item.key[:-1]:
rows.append([each[0], each[1], item.key[-1]])
data = {'tweets': rows}
return jsonify(data)
def google_map_data():
geo_list = []
for row in list(
db.view('mapviews/latestTweets', descending=True, limit=200)):
geo_list.append(
[row.value['geo'][1], row.value['geo'][0], row.value['text']])
data = {'geo': geo_list}
return jsonify(data)
def total_tw_food():
food_dict = {}
for item in db.view('views/food_view',
group=True,
group_level=1,
stale="update_after"):
city = " ".join(item.key)
food_dict[city] = item.value
return food_dict
def google_map_data():
geo_list = []
for row in list(db.view('mapviews/latestTweets', descending=True, limit=200)):
geo_list.append([row.value['geo'][1], row.value['geo'][0], row.value['text']])
data = {
'geo': geo_list
}
return jsonify(data)
def time_category():
rows = []
col = []
for item in db.view('general_views/time_view', group=True, group_level=1):
rows.append({'c': [{'v': " ".join(item.key)}, {'v': item.value}]})
pairs = [('', 'Tweet', 'string'), ('', 'tweet number', 'number')]
for pair in pairs:
col.append({'id': pair[0], 'label': pair[1], 'type': pair[2]})
response = {'cols': col, 'rows': rows}
return jsonify(response)
def sentiment_composition():
rows = []
cols = []
for item in db.view('sentiment/new-view', group=True, group_level=1):
if item.key is not None:
rows.append({'c': [{'v': item.key}, {'v': item.value}]})
pairs = [('', 'Tweet', 'string'), ('', 'Number', 'number')]
for pair in pairs:
cols.append({'id': pair[0], 'label': pair[1], 'type': pair[2]})
response = {'cols': cols, 'rows': rows}
return jsonify(response)
def device_data():
rows = []
for row in list(db.view('mapviews/devices', group=True)):
if row.value >= 100:
rows.append({'c': [{'v': BeautifulSoup(row.key).a.text}, {'v': row.value}]})
response = {
'cols': __cols([('Device', 'string'), ('Tweets', 'number')]),
'rows': rows
}
return jsonify(response)
def sentiment_data():
counter = Counter()
for row in list(db.view('mapviews/c2e2')):
if row.value:
counter[row.value['sentiScore']] += 1
counter.pop(0) # exclude neu(0)
data = {
'cols': __cols([('Score', 'number'), ('Count', 'number')]),
'rows': [{'c': [{'v': key}, {'v': val}]} for (key, val) in counter.iteritems()]
}
return jsonify(data)
def lang_data(m=None):
rows = []
for row in list(db.view('mapviews/language', group=True)):
if m and row.key in ['en', 'und']:
continue
if row.value >= 100:
rows.append(
{'c': [{'v': lang_codes[row.key]['name'] if row.key in lang_codes else row.key}, {'v': row.value}]})
response = {
'cols': __cols([('Language', 'string'), ('Tweets', 'number')]),
'rows': rows
}
return jsonify(response)
def food_type_ratio():
rows = []
cols = []
for item in db.view('general_views/food_view',
group=True,
group_level=1,
stale="update_after"):
rows.append({'c': [{'v': " ".join(item.key)}, {'v': item.value}]})
pairs = [('', 'Food Type', 'string'), ('', 'Amount', 'number')]
for pair in pairs:
cols.append({'id': pair[0], 'label': pair[1], 'type': pair[2]})
response = {'cols': cols, 'rows': rows}
return jsonify(response)
def food_ratio():
rows = []
cols = []
for item in db.view('views/food_view', group=True, group_level=1):
city = item.key[0]
value = item.value
for k, v in total_tw().items():
if city == k:
food_ratio = value / v
rows.append({'c': [{'v': city}, {'v': food_ratio}]})
pairs = [('', 'Tweet', 'string'), ('', 'Food', 'number')]
for pair in pairs:
cols.append({'id': pair[0], 'label': pair[1], 'type': pair[2]})
response = {'cols': cols, 'rows': rows}
return jsonify(response)
def device_data():
rows = []
for row in list(db.view('mapviews/devices', group=True)):
if row.value >= 100:
rows.append({
'c': [{
'v': BeautifulSoup(row.key).a.text
}, {
'v': row.value
}]
})
response = {
'cols': __cols([('Device', 'string'), ('Tweets', 'number')]),
'rows': rows
}
return jsonify(response)
def time_line_data():
pos_counter, neg_counter, neu_counter = Counter(), Counter(), Counter()
for row in list(db.view('chicago/chicagoBulls')):
sentiment = row.value['senti']
time_stamp = calendar.timegm((datetime.fromtimestamp(row.key)).replace(
hour=0, minute=0, second=0, microsecond=0).timetuple()) * 1000
if sentiment == 'pos':
pos_counter[time_stamp] += 1
elif sentiment == 'neg':
neg_counter[time_stamp] += 1
else:
neu_counter[time_stamp] += 1
return jsonify({
"positive": pos_counter.items(),
"negative": neg_counter.items(),
"neutral": neu_counter.items()
})
def time_line_data():
pos_counter, neg_counter, neu_counter = Counter(), Counter(), Counter()
for row in list(db.view('chicago/chicagoBulls')):
sentiment = row.value['senti']
time_stamp = calendar.timegm(
(datetime.fromtimestamp(row.key)).replace(hour=0, minute=0, second=0, microsecond=0).timetuple()) * 1000
if sentiment == 'pos':
pos_counter[time_stamp] += 1
elif sentiment == 'neg':
neg_counter[time_stamp] += 1
else:
neu_counter[time_stamp] += 1
return jsonify({
"positive": pos_counter.items(),
"negative": neg_counter.items(),
"neutral": neu_counter.items()
})
def time_ratio():
df = {}
rows = []
cols = []
for item in db.view('views/time_view',
group=True,
group_level=2,
stale="update_after"):
city = item.key[0]
category = item.key[1]
value = item.value
if category != None:
if city not in df:
df[city] = [value]
else:
df[city] += [value]
for key, value in df.items():
total = value[0] + value[1] + value[2] + value[3]
afternoon_ratio = value[0] / total
evening_ratio = value[1] / total
morning_ratio = value[2] / total
night_ratio = value[3] / total
rows.append({
'c': [{
'v': key
}, {
'v': morning_ratio
}, {
'v': afternoon_ratio
}, {
'v': evening_ratio
}, {
'v': night_ratio
}]
})
pairs = [('', 'Tweet', 'string'), ('', 'Morning', 'number'),
('', 'Afternoon', 'number'), ('', 'Evening', 'number'),
('', 'Night', 'number')]
for pair in pairs:
cols.append({'id': pair[0], 'label': pair[1], 'type': pair[2]})
response = {'cols': cols, 'rows': rows}
return jsonify(response)
def sentiment_ratio():
df = {}
rows = []
cols = []
for item in db.view('views/sentiment_view',
group=True,
group_level=2,
stale="update_after"):
city = item.key[0]
category = item.key[1]
value = item.value
if city != 'others':
if category != None:
if city not in df:
df[city] = [value]
else:
df[city] += [value]
for key, value in df.items():
total = value[0] + value[1] + value[2]
negative_ratio = value[0] / total
#negative_r = '{:.0f}%'.format(negative_ratio*100)
neutral_ratio = value[1] / total
#neutral_r = '{:.0f}%'.format(neutral_ratio*100)
positive_ratio = value[2] / total
#positive_r = '{:.0f}%'.format(positive_ratio*100)
rows.append({
'c': [{
'v': key
}, {
'v': negative_ratio
}, {
'v': neutral_ratio
}, {
'v': positive_ratio
}]
})
pairs = [('', 'Tweet', 'string'), ('', 'Negative', 'number'),
('', 'Neutral', 'number'), ('', 'Positive', 'number')]
for pair in pairs:
cols.append({'id': pair[0], 'label': pair[1], 'type': pair[2]})
response = {'cols': cols, 'rows': rows}
return jsonify(response)
def sentiment_data():
counter = Counter()
for row in list(db.view('mapviews/c2e2')):
if row.value:
counter[row.value['sentiScore']] += 1
counter.pop(0) # exclude neu(0)
data = {
'cols':
__cols([('Score', 'number'), ('Count', 'number')]),
'rows': [{
'c': [{
'v': key
}, {
'v': val
}]
} for (key, val) in counter.iteritems()]
}
return jsonify(data)
def Adelaide_ratio():
rows = []
cols = []
total_num_food = 0
for k, v in total_tw_food().items():
total_num_food += v
for item in db.view('views/food_view', group=True, group_level=3):
if item.key[0] == 'Adelaide':
for city, v in total_tw_food().items():
if city == item.key[0]:
ratio = item.value / v
rows.append({'c': [{'v': item.key[2]}, {'v': ratio}]})
pairs = [('', 'Food Type', 'string'),
('', 'Food Type Proportion in Adelaide', 'number')]
for pair in pairs:
cols.append({'id': pair[0], 'label': pair[1], 'type': pair[2]})
response = {'cols': cols, 'rows': rows}
return jsonify(response)
def lang_data(m=None):
rows = []
for row in list(db.view('mapviews/language', group=True)):
if m and row.key in ['en', 'und']:
continue
if row.value >= 100:
rows.append({
'c': [{
'v':
lang_codes[row.key]['name']
if row.key in lang_codes else row.key
}, {
'v': row.value
}]
})
response = {
'cols': __cols([('Language', 'string'), ('Tweets', 'number')]),
'rows': rows
}
return jsonify(response)
def food_category_ratio():
df = {}
rows = []
cols = []
for item in db.view('views/food_view',
group=True,
group_level=2,
stale="update_after"):
city = item.key[0]
category = item.key[1]
value = item.value
if category != None:
if city not in df:
df[city] = [value]
else:
df[city] += [value]
for key, value in df.items():
total = value[0] + value[1]
healthy_ratio = value[0] / total
#healthy_r = '{:.0f}%'.format(healthy_ratio*100)
unhealthy_ratio = value[1] / total
#unhealthy_r = '{:.0f}%'.format(unhealthy_ratio*100)
rows.append(
{'c': [{
'v': key
}, {
'v': healthy_ratio
}, {
'v': unhealthy_ratio
}]})
pairs = [('', 'Tweet', 'string'), ('', 'Healthy Food', 'number'),
('', 'Unhealthy Food', 'number')]
for pair in pairs:
cols.append({'id': pair[0], 'label': pair[1], 'type': pair[2]})
response = {'cols': cols, 'rows': rows}
return jsonify(response)
def total_tw():
sentiment_dict = {}
for item in db.view('views/sentiment_view', group=True, group_level=1):
city = " ".join(item.key)
sentiment_dict[city] = item.value
return sentiment_dict
