def validate_info(ui, errors):
"""
Validates the fields for errors
:param ui: The GUI containing the fields
:param errors: The list of errors that have occurred so far
:return: None
"""
# check credentials
is_info_good = True
if is_field_empty(ui.username):
is_info_good = False
errors.append("No username provided.")
if is_field_empty(ui.password):
is_info_good = False
errors.append("No password provided.")
# validate credentials by hitting monocle-3
if is_info_good:
query = VectorQuery(username=ui.username.text(),
password=ui.password.text(),
client_id=ui.client_id.text(),
client_secret=ui.client_secret.text())
query.log_in()
if not query.is_login_successful:
errors.append(
"Unable to verify credentials. See logs for more details.")
def generate_csv(self):
# dates
now = datetime.now()
self.end_date = now
self.begin_date = now - timedelta(days=self.days_to_query)
current_x = self.left
current_y = self.bottom
serial_no = 1
# get header dict
vector_query = VectorQuery(username=self.username,
password=self.password,
client_id=self.client_id,
client_secret=self.client_secret)
vector_query.log_in()
vector_params = InfoCubeVectorParams(top=self.top,
bottom=self.bottom,
left=self.left,
right=self.right,
time_begin=self.begin_date,
time_end=self.end_date)
header_result = vector_query.get_vector_result(vector_params)
self.vector_header_dict = vector_query.get_vector_data(header_result)
for next_x in drange(self.left + INCREMENTAL_INTERVAL, self.right,
INCREMENTAL_INTERVAL):
for next_y in drange(self.bottom + INCREMENTAL_INTERVAL, self.top,
INCREMENTAL_INTERVAL):
username = self.username
password = self.password
client_id = self.client_id
client_secret = self.client_secret
csv_runnable = CSVRunnable(username, password, client_id,
client_secret, serial_no, next_y,
current_x, next_x, current_y,
self.begin_date, self.end_date,
self.vector_header_dict)
csv_runnable.csv_object.new_csv_element.connect(
self.csv_generator_object.callback)
self.pool.start(csv_runnable)
serial_no += 1
current_y = next_y
current_y = self.bottom
current_x = next_x
self.finished_submissions = True
def run(self):
gbd_params = GBDOrderParams(top=self.top,
bottom=self.bottom,
left=self.left,
right=self.right,
time_begin=self.time_begin,
time_end=self.time_end)
vector_params = InfoCubeVectorParams(top=self.top,
bottom=self.bottom,
left=self.left,
right=self.right,
time_begin=self.time_begin,
time_end=self.time_end)
csv_element = CSVOutput(serial_no=self.serial_no,
top=self.top,
left=self.left,
right=self.right,
bottom=self.bottom,
polygon=gbd_params.polygon,
vector_header_dict=self.vector_header_dict)
gbd_query = GBDQuery(username=self.username,
password=self.password,
client_id=self.client_id,
client_secret=self.client_secret)
log.info("Starting GBD Query with params: " + str(gbd_params.__dict__))
gbd_query.log_in()
# build vectory query
vector_query = VectorQuery(username=self.username,
password=self.password,
client_id=self.client_id,
client_secret=self.client_secret)
log.info("Starting queries with params: " +
str(vector_params.__dict__))
vector_query.log_in()
gbd_query.do_aoi_search(gbd_params, csv_element)
log.info("GBD Query complete for args: " + str(gbd_params.__dict__))
vector_query.query_vector(vector_params, csv_element)
log.info("Vector Query complete for args: " +
str(vector_params.__dict__))
self.csv_object.new_csv_element.emit(csv_element)
def test_parse_twitter_json(self):
json_data = r"""{
"took":22137,
"timed_out":false,
"_shards":{
"total":3350,
"successful":3350,
"failed":0
},
"hits":{
"total":1541190,
"max_score":1.0,
"hits":[
{
"_index":"orbit-2015-02-04",
"_type":"tweet",
"_id":"562967110952169472",
"_score":1.0,
"_source":{
"text":"Brian Chaffin \u2022 C \u2022 6-2 \u2022 285 \u2022 Harrisburg, N.C. \u2022 Charlotte Christian\nFirst official Stanford football signee.",
"screenName":"rickeymer",
"loc_hash":"9q8ysbphnskdtf4nvp7j",
"retweets":null,
"gnipLanguage":"en",
"friendsCount":654,
"actorDescription":"On a mission to become Zen Master.",
"followersCount":230,
"negativeSentiment":0.05968315554023689,
"favoritesCount":0,
"positiveSentiment":0.940316844459763,
"process_version":"20140909T120800Z",
"twitterCountryCode":"US",
"twitterLanguage":null,
"device":"Twitter for iPhone",
"created":"2015-02-04T13:33:13.000Z",
"geo":{
"lat":37.705788,
"lon":-122.476674
},
"actorDisplayName":"Rick Eymer",
"listedCount":5,
"exactGeo":"true",
"verb":"post",
"countryCode":"United States",
"statusesCount":1954,
"id":"562967110952169472",
"actorLanguages":[
"en"
],
"actorId":"123056175",
"placeGeoType":"Polygon"
}
},
{
"_index":"orbit-2015-02-04",
"_type":"tweet",
"_id":"562968745447268354",
"_score":1.0,
"_source":{
"text":"Rain's good luck for weddings..another #WorldSeries perhaps? RT@R8ders_4life rain Sat on @SFGiantsFans Fest? @abc7kristensze @MikeNiccoABC7",
"screenName":"LeylaGulenABC7",
"loc_hash":"9q8yvguy4btqnrbdjr9j",
"retweets":null,
"gnipLanguage":"en",
"friendsCount":646,
"actorDescription":"Weekday morning traffic reporter and feature reporter for ABC7 News in San Francisco. Facebook: https:\/\/www.facebook.com\/LeylaGulenABC7",
"followersCount":3279,
"negativeSentiment":0.24136288806488154,
"favoritesCount":0,
"positiveSentiment":0.7586371119351184,
"userMentions":[
"520513452:Nelson Cheng",
"8521542:San Francisco Giants",
"33907531:Kristen Sze",
"258857757:Mike Nicco"
],
"process_version":"20140909T120800Z",
"twitterCountryCode":"US",
"twitterLanguage":null,
"device":"Twitter Web Client",
"created":"2015-02-04T13:39:43.000Z",
"geo":{
"lat":37.7706565,
"lon":-122.4359785
},
"actorDisplayName":"Leyla Gulen",
"listedCount":110,
"exactGeo":"false",
"verb":"post",
"countryCode":"United States",
"statusesCount":8434,
"id":"562968745447268354",
"actorLanguages":[
"en"
],
"hashtags":[
"WorldSeries"
],
"actorId":"1301668658",
"placeGeoType":"Polygon"
}
},
{
"_index":"orbit-2015-02-04",
"_type":"tweet",
"_id":"562983858787082243",
"_score":1.0,
"_source":{
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"screenName":"geoffhendrey",
"loc_hash":"9q8ytpupkv44vucg3u24",
"retweets":null,
"gnipLanguage":"en",
"friendsCount":328,
"actorDescription":"Splunker, founder http:\/\/www.meetup.com\/Real-time-Big-Data\/, Carnegie Mellon, San Francisco",
"followersCount":203,
"negativeSentiment":0.22847969141073096,
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"positiveSentiment":0.7715203085892691,
"userMentions":[
"17631078:Carnegie Mellon"
],
"process_version":"20140909T120800Z",
"twitterCountryCode":"US",
"twitterLanguage":null,
"device":"Twitter for iPhone",
"created":"2015-02-04T14:39:46.000Z",
"geo":{
"lat":37.748922,
"lon":-122.469886
},
"actorDisplayName":"Geoffrey Hendrey",
"listedCount":24,
"exactGeo":"true",
"verb":"post",
"countryCode":"United States",
"statusesCount":665,
"id":"562983858787082243",
"actorLanguages":[
"en"
],
"actorId":"58553047",
"placeGeoType":"Polygon"
}
},
{
"_index":"orbit-2015-02-04",
"_type":"tweet",
"_id":"562984139620904961",
"_score":1.0,
"_source":{
"text":"Now Hiring: Reg Client Associate (FP) - SAN FRANCISCO, CA | Bank of America: CA - San Francisco | http:\/\/t.co\/Ii2iXA7efQ #jobs",
"screenName":"lgbtcareerlink_",
"loc_hash":"9q8znbcm25b00xk904ms",
"retweets":null,
"gnipLanguage":"en",
"friendsCount":128,
"actorDescription":"Diversity-friendly employers and jobs for the LGBT workforce across the nation from Out & Equal Workplace Advocates",
"followersCount":807,
"negativeSentiment":0.1451865452421416,
"favoritesCount":0,
"positiveSentiment":0.8548134547578584,
"process_version":"20140909T120800Z",
"twitterCountryCode":"US",
"twitterLanguage":null,
"device":"CareerCenter",
"created":"2015-02-04T14:40:53.000Z",
"geo":{
"lat":37.79801,
"lon":-122.396965
},
"actorDisplayName":"Stephen Huey",
"listedCount":54,
"exactGeo":"true",
"verb":"post",
"countryCode":"United States",
"statusesCount":277055,
"id":"562984139620904961",
"actorLanguages":[
"en"
],
"hashtags":[
"jobs"
],
"actorId":"15519381",
"placeGeoType":"Polygon"
}
},
{
"_index":"orbit-2015-02-04",
"_type":"tweet",
"_id":"562981817134104578",
"_score":1.0,
"_source":{
"text":"@rcooley123 \n\nNo big anti war movement? Because no one is being drafted.",
"screenName":"russmorgan1958",
"loc_hash":"9q8yyh9qs3ruvkmxmdeq",
"retweets":null,
"gnipLanguage":"en",
"friendsCount":404,
"actorDescription":"Happily married since 2008 to my hon, Anthony. Originally from Northern Virginia. I've lived in San Francisco for just about all of my adult life.",
"followersCount":123,
"negativeSentiment":0.2743683939431398,
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"positiveSentiment":0.7256316060568602,
"userMentions":[
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],
"process_version":"20140909T120800Z",
"twitterCountryCode":"US",
"twitterLanguage":null,
"device":"Twitter for iPad",
"created":"2015-02-04T14:31:39.000Z",
"geo":{
"lat":37.774866,
"lon":-122.429731
},
"actorDisplayName":"Russ Morgan",
"listedCount":2,
"exactGeo":"true",
"verb":"post",
"countryCode":"United States",
"statusesCount":1105,
"id":"562981817134104578",
"actorLanguages":[
"en"
],
"actorId":"2892519259",
"placeGeoType":"Polygon"
}
},
{
"_index":"orbit-2015-02-04",
"_type":"tweet",
"_id":"562984386371801090",
"_score":1.0,
"_source":{
"text":"@JamesSemaj1220 Fox news is never fair and balanced either...and Mike can take his book and shove it God guns grits and gravy is out dated",
"screenName":"MillsBambi",
"loc_hash":"9q8yvguy4btqnrbdjr9j",
"retweets":null,
"gnipLanguage":"en",
"friendsCount":743,
"actorDescription":"*smiles* Tryin to live on the upbeat",
"followersCount":426,
"negativeSentiment":0.054492212986706326,
"favoritesCount":0,
"positiveSentiment":0.9455077870132937,
"userMentions":[
"17600254:JamesSemaJ1220"
],
"process_version":"20140909T120800Z",
"twitterCountryCode":"US",
"twitterLanguage":null,
"device":"Twitter Web Client",
"created":"2015-02-04T14:41:52.000Z",
"geo":{
"lat":37.7706565,
"lon":-122.4359785
},
"actorDisplayName":"Robyn",
"listedCount":3,
"exactGeo":"false",
"verb":"post",
"countryCode":"United States",
"statusesCount":10710,
"id":"562984386371801090",
"actorLanguages":[
"en"
],
"actorId":"2814005132",
"placeGeoType":"Polygon"
}
},
{
"_index":"orbit-2015-02-04",
"_type":"tweet",
"_id":"562984683924094976",
"_score":1.0,
"_source":{
"text":"@kerfluffer narrowing their loss and stating that the hack will not affect their profits",
"screenName":"rodolfor",
"loc_hash":"9q8zn1m08hcdgu0zfgzd",
"retweets":null,
"gnipLanguage":"en",
"friendsCount":872,
"actorDescription":"Now, I am CEO at @Storybricks, the destroyer of worlds. Excited about AI, MMORPGs, Security and DUNE. NSFW.",
"followersCount":1637,
"negativeSentiment":0.6414114561269884,
"favoritesCount":0,
"positiveSentiment":0.35858854387301153,
"userMentions":[
"6424072:Michael Slavitch "
],
"process_version":"20140909T120800Z",
"twitterCountryCode":"US",
"twitterLanguage":null,
"device":"Twitter for iPhone",
"created":"2015-02-04T14:43:03.000Z",
"geo":{
"lat":37.799947,
"lon":-122.424772
},
"actorDisplayName":"Rodolfo Rosini",
"listedCount":114,
"exactGeo":"true",
"verb":"post",
"countryCode":"United States",
"statusesCount":44185,
"id":"562984683924094976",
"actorLanguages":[
"en"
],
"actorId":"16690663",
"placeGeoType":"Polygon"
}
},
{
"_index":"orbit-2015-02-04",
"_type":"tweet",
"_id":"562984943002062849",
"_score":1.0,
"_source":{
"text":"S.F. hotel group's '50 Shades of Women' is inspired by erotic novels http:\/\/t.co\/NwYFaO2v3z",
"screenName":"SanFranciscoCP",
"loc_hash":"9q8yyqu5ywused116xxr",
"retweets":null,
"gnipLanguage":"en",
"friendsCount":8,
"actorDescription":"Latest news from San Francisco. Updates are frequent. For local news addicts.",
"followersCount":2917,
"negativeSentiment":0.0952227746447489,
"favoritesCount":0,
"positiveSentiment":0.9047772253552511,
"process_version":"20140909T120800Z",
"twitterCountryCode":"US",
"twitterLanguage":null,
"device":"dlvr.it",
"created":"2015-02-04T14:44:04.000Z",
"geo":{
"lat":37.786783,
"lon":-122.414876
},
"actorDisplayName":"San Francisco Press",
"listedCount":146,
"exactGeo":"true",
"verb":"post",
"countryCode":"United States",
"statusesCount":185743,
"id":"562984943002062849",
"actorLanguages":[
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],
"actorId":"60452453",
"placeGeoType":"Polygon"
}
},
{
"_index":"orbit-2015-02-04",
"_type":"tweet",
"_id":"562985027441799168",
"_score":1.0,
"_source":{
"text":"@theresaanna @mkramer you ladies are the sweetest. Can't wait until you join the team - as my fellow Chaco sporter. :)",
"screenName":"jmealbrecht",
"loc_hash":"9q8yyk8zf4s55ntgq0cs",
"retweets":null,
"gnipLanguage":"en",
"friendsCount":139,
"actorDescription":"Ops Team @18F. People Watcher. Wellness Captain. & Your Average Spontaneous Dancer.",
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"negativeSentiment":0.00361266075828408,
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"userMentions":[
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"10232022:Melody Joy Kramer"
],
"process_version":"20140909T120800Z",
"twitterCountryCode":"US",
"twitterLanguage":null,
"device":"Twitter for iPhone",
"created":"2015-02-04T14:44:24.000Z",
"geo":{
"lat":37.775087,
"lon":-122.419533
},
"actorDisplayName":"Jamie Albrecht",
"listedCount":4,
"exactGeo":"true",
"verb":"post",
"countryCode":"United States",
"statusesCount":95,
"id":"562985027441799168",
"actorLanguages":[
"en"
],
"actorId":"2159441905",
"placeGeoType":"Polygon"
}
},
{
"_index":"orbit-2015-02-04",
"_type":"tweet",
"_id":"562985127538872322",
"_score":1.0,
"_source":{
"text":"Thx Warren! RT @dustormagic: Great AAP talk by tweet master Scott Traylor @360KID @AmericanPublish http:\/\/t.co\/g8ZUI7IaM9",
"screenName":"360KID",
"loc_hash":"9q8yvguy4btqnrbdjr9j",
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"userMentions":[
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],
"process_version":"20140909T120800Z",
"twitterCountryCode":"US",
"twitterLanguage":null,
"device":"Twitter Web Client",
"created":"2015-02-04T14:44:48.000Z",
"geo":{
"lat":37.7706565,
"lon":-122.4359785
},
"actorDisplayName":"Scott Traylor",
"listedCount":250,
"exactGeo":"false",
"verb":"post",
"countryCode":"United States",
"statusesCount":6193,
"id":"562985127538872322",
"actorLanguages":[
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],
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}
},
{
"_index":"orbit-2015-02-04",
"_type":"tweet",
"_id":"562970809489457155",
"_score":1.0,
"_source":{
"text":"2\/4 That dream though \u2764\ufe0f\ud83d\udc94",
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"twitterCountryCode":"US",
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"device":"Twitter for iPhone",
"created":"2015-02-04T13:47:55.000Z",
"geo":{
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"lon":-122.414759
},
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"exactGeo":"true",
"verb":"post",
"countryCode":"United States",
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"id":"562970809489457155",
"actorLanguages":[
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],
"actorId":"545301537",
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}
},
{
"_index":"orbit-2015-02-04",
"_type":"tweet",
"_id":"562972873493856256",
"_score":1.0,
"_source":{
"text":"Up To Speed: Yahoo picks unit to bundle with Alibaba stake in spinoff (Video) http:\/\/t.co\/hxwcsxk3lI",
"screenName":"SanFranciscoCP",
"loc_hash":"9q8yyqu5ywused116xxr",
"retweets":null,
"gnipLanguage":"en",
"friendsCount":8,
"actorDescription":"Latest news from San Francisco. Updates are frequent. For local news addicts.",
"followersCount":2917,
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"process_version":"20140909T120800Z",
"twitterCountryCode":"US",
"twitterLanguage":null,
"device":"dlvr.it",
"created":"2015-02-04T13:56:07.000Z",
"geo":{
"lat":37.786783,
"lon":-122.414876
},
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"listedCount":146,
"exactGeo":"true",
"verb":"post",
"countryCode":"United States",
"statusesCount":185741,
"id":"562972873493856256",
"actorLanguages":[
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],
"actorId":"60452453",
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}
},
{
"_index":"orbit-2015-02-04",
"_type":"tweet",
"_id":"562972991718703104",
"_score":1.0,
"_source":{
"text":"@SonLaHostiaTu El putasuna",
"screenName":"ErmismoRmFc",
"loc_hash":"9q8yvguy4btqnrbdjr9j",
"retweets":null,
"gnipLanguage":"es",
"friendsCount":521,
"actorDescription":"Jugador CS:GO ||Steam \u2192Ermismo || #Dubstep #DrumbBass #Trap #Zomboy #FeedMe #KnifeParty #DubElements #TheProdigy #DaftPunk #TeamGallagher || Meredith\u2665. 24.03\u2665",
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"positiveSentiment":0.2651766367255397,
"userMentions":[
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],
"process_version":"20140909T120800Z",
"twitterCountryCode":"US",
"twitterLanguage":null,
"device":"Twitter Web Client",
"created":"2015-02-04T13:56:35.000Z",
"geo":{
"lat":37.7706565,
"lon":-122.4359785
},
"actorDisplayName":"\u00a0\u00a0\u00a0\u00a0\u00a0#TeamGallagher\u21af",
"listedCount":9,
"exactGeo":"false",
"verb":"post",
"countryCode":"United States",
"statusesCount":21792,
"id":"562972991718703104",
"actorLanguages":[
"es"
],
"actorId":"234396275",
"placeGeoType":"Polygon"
}
},
{
"_index":"orbit-2015-02-04",
"_type":"tweet",
"_id":"563004744810373120",
"_score":1.0,
"_source":{
"text":"So much snow everywhere except here :O",
"screenName":"elisamari94",
"loc_hash":"9q8yut18qedn28eq1xvy",
"retweets":null,
"gnipLanguage":"en",
"friendsCount":93,
"actorDescription":"Currently living in San Francisco, university in Madrid and my heart in Tokyo.",
"followersCount":106,
"negativeSentiment":0.1778395203618781,
"favoritesCount":0,
"positiveSentiment":0.822160479638122,
"process_version":"20140909T120800Z",
"twitterCountryCode":"US",
"twitterLanguage":null,
"device":"Twitter for iPhone",
"created":"2015-02-04T16:02:45.000Z",
"geo":{
"lat":37.776552,
"lon":-122.495217
},
"actorDisplayName":"Elisa Gallego",
"listedCount":3,
"exactGeo":"true",
"verb":"post",
"countryCode":"United States",
"statusesCount":3873,
"id":"563004744810373120",
"actorLanguages":[
"en"
],
"actorId":"160167277",
"placeGeoType":"Polygon"
}
},
{
"_index":"orbit-2015-02-04",
"_type":"tweet",
"_id":"563005577434243073",
"_score":1.0,
"_source":{
"text":"Yaaaay more testing",
"screenName":"sammmlui104",
"loc_hash":"9q8yutk4rymh54g7n6hy",
"retweets":null,
"gnipLanguage":"en",
"friendsCount":128,
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"favoritesCount":0,
"positiveSentiment":0.7498583229691902,
"process_version":"20140909T120800Z",
"twitterCountryCode":"US",
"twitterLanguage":null,
"device":"Twitter for iPhone",
"created":"2015-02-04T16:06:04.000Z",
"geo":{
"lat":37.778283,
"lon":-122.491726
},
"actorDisplayName":"fire trucker",
"listedCount":2,
"exactGeo":"true",
"verb":"post",
"countryCode":"United States",
"statusesCount":658,
"id":"563005577434243073",
"actorLanguages":[
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{
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}"""
csv_element = CSVOutput(left=-112.509461,
bottom=37.701051,
right=37.815197,
top=37.815197,
polygon=None)
query = VectorQuery(None, None)
query.process_twitter_data(json_data, csv_element)
self.assertEqual(csv_element.num_twitter, 1541190)