def index():
form = DotCartoForm()
fi = None
first = None
old_map_name = None
if form.validate_on_submit():
# import ipdb; ipdb.set_trace()
# cred = json.load(open('credentials.json')) # modify credentials.json.sample
# if username == '':
username = form.carto_api_endpoint.data
# if apikey == '':
apikey = form.carto_api_key.data
# if cartojson == '':
cartojson = form.cartojsontemplate.data.replace(
' ', '_').lower() + '.carto.json'
# if first == '':
print 'cartjson assigned'
# if cartojson == 'dma_heatmap.carto.json':
# first = 'dma_master_polygons_merge'
if cartojson == 'dmas_oct.carto.json':
first = 'dma_visit_index_template_data_may2017v1'
elif cartojson == 'visits_final.carto.json':
first = 'visitindexheatmapexample'
print first
# if second == '':
second = form.new_dataset_names.data
# if cartojson == 'dma_heatmap.carto.json':
# old_map_name = "TEMPLATE (USE THIS) - DMA Heatmap"
if cartojson == 'dmas_oct.carto.json':
old_map_name = "NinthDecimal DMAs - 0914"
elif cartojson == 'visits_final.carto.json':
old_map_name = "NinthDecimal Visits Index - 0914"
print first
new_map_name = form.map_title_name.data
# cartojson = 'template.carto.json'
curTime = datetime.now().strftime('%Y_%m_%d_%H_%M_%S')
inFile = 'data/' + cartojson
ouFile = 'data/_temp/' + cartojson.replace(
'.carto.json', '') + '_' + curTime + '.carto.json'
fiFile = 'data/_temp/' + new_map_name.replace(
' ', '_').lower() + '_' + cartojson.replace(
'.carto.json', '') + '_' + curTime + '.carto.json'
print inFile, ouFile, first, second
openFileReplaceDatasetSave(inFile, ouFile, first, second)
print inFile, ouFile, old_map_name, new_map_name
openFileReplaceDatasetSave(ouFile, fiFile, old_map_name, new_map_name)
cl = CartoDBAPIKey(apikey, username)
# Import csv file, set privacy as 'link' and create a default viz
fi = FileImport(fiFile, cl, create_vis='true', privacy='link')
fi.run()
return render_template("index.html", form=form, result=[str(fi)])
def push_to_cartodb(f):
"""
send dataset f to cartodb, return success of import
"""
print "attempting to import into cartodb"
config = loadConfig()
cl = CartoDBAPIKey(config["API_KEY"],config["user"])
fi = FileImport(f,cl,table_name='python_table_test')
fi.run()
return fi.success
def push_to_cartodb(f):
"""
send dataset f to cartodb, return success of import
"""
print "attempting to import into cartodb"
config = loadConfig()
cl = CartoDBAPIKey(config["API_KEY"], config["user"])
fi = FileImport(f, cl, table_name='python_table_test')
fi.run()
return fi.success
def insertar_mapa(file_name,grupo,group_folder_id):
carto_username = '******'
carto_key = '17179e6a8fc54fe03857e65f1d562caf98a8d4bb'
cl = CartoDBAPIKey(carto_key, carto_username)
grupo = grupo.reset_index()
grupo[[u'p8 2. N\xfamero de c\xe9dula',u'p79 8. G\xe9nero',u'p12 Edad',u'p54 12. \xbfTiene alguna discapacidad?',u'p27 18. Sedes',u'p81 24. \xbfTiene un horario fijo para ir al trabajo?','Emisiones','Latitude','Longitude']].to_excel('grupos/'+file_name+'.xlsx',index=False)
grupo[[u'p8 2. N\xfamero de c\xe9dula',u'p79 8. G\xe9nero',u'p12 Edad',u'p54 12. \xbfTiene alguna discapacidad?',u'p27 18. Sedes',u'p81 24. \xbfTiene un horario fijo para ir al trabajo?','Emisiones','Latitude','Longitude']].to_csv('grupos/'+file_name+'.csv',index=False)
insert_file(file_name+'.csv',' ',group_folder_id, 'grupos/'+file_name+'.csv',mimetype='text/csv')
fi = FileImport('grupos/'+file_name+'.xlsx', cl, privacy='public',content_guessing='true',create_vis='true',table_name=file_name)
fi.run()
call = 'https://'+carto_username+'.carto.com/api/v1/imports/'+str(fi.item_queue_id)+'?api_key='+carto_key
request = requests.get(call)
def tocarto(table, url, geom_field=None):
from cartodb import CartoDBAPIKey, CartoDBException, FileImport
# parse url
# get name of
filename = name + '.csv'
# write to csv
# TODO can FileImport take a stream so we don't have to write to csv first?
(etl.reproject(table, 4326, geom_field=geom_field)
.rename('shape', 'the_geom')
.tocsv(filename)
)
API_KEY = '<api key>'
DOMAIN = '<domain>'
cl = CartoDBAPIKey(API_KEY, DOMAIN)
fi = FileImport(filename, cl, privacy='public')
fi.run()
def cleanNinthDecimal(inFile, inFileName, username, apikey):
curTime = datetime.now().strftime('%Y_%m_%d_%H_%M_%S')
ouFileName = inFileName.replace('.csv', '')
ouFile = 'data/ninth_decimal_' + curTime + '.csv'
ouFile = 'data/_send/' + ouFileName + '.csv'
with open(ouFile, 'w') as csvoutput:
writer = csv.writer(csvoutput, lineterminator='\n')
# This code opens our bytestream with \r as the newline
newline_wrapper = TextIOWrapper(inFile, newline=None) # newline='\r')
reader = csv.reader(
newline_wrapper) # , delimiter = ',')#, lineterminator='\r')
all = []
row = next(reader)
row.append('the_geom')
all.append(row)
geoFenceColLoc = row.index('geofence')
for row in reader:
row.append(reorderLatLng(row[geoFenceColLoc]))
all.append(row)
writer.writerows(all)
cl = CartoDBAPIKey(apikey, username)
# Import csv file, set privacy as 'link' and create a default viz
fi = FileImport(ouFile,
cl,
create_vis='false',
privacy='link',
content_guessing='false',
type_guessing='false')
fi.run()
return fi
["@raphaelvarane"],
["@nachofi1990"],
["Kiko Casilla", "@KikoCasilla13"],
["Rubén Yáñez", "@RYanez93"],
["Mateo Kovacic", "@MateoKova16"],
["@JeseRodriguez10"],
["Arbeloa", "@aarbeloa17"],
]
table_name = TABLE_NAME
for i, category in enumerate(categories):
print category
new_job = p.jobs.create(START_TIMESTAMP,
END_TIMESTAMP,
TABLE_NAME,
category,
geo_enrichment=False)
if i != 14: # 14 is Bale duplicated in the original player list
new_job.export_tweets(category=i + 1, append=False if i == 0 else True)
import_job = FileImport(table_name + ".csv", cdb)
import_job.run()
print "SUCCESS", import_job.success
state = "uploading"
while state != "complete" and state != "failure":
time.sleep(5)
import_job.update()
print import_job.state
from _settings import *
from cartodb import CartoDBAPIKey, CartoDBException, FileImport
# gitignored secret info
from _secret_info import cartodb_domain, API_KEY
cl = CartoDBAPIKey(API_KEY, cartodb_domain)
tr95 = wp + '/to_cartodb/nyctrees1995.csv'
tr05 = wp + '/to_cartodb/nyctrees2005.csv'
tr15 = wp + '/to_cartodb/nyctrees2015.csv'
fi = FileImport(
tr95, cl, create_vis='true', privacy='public'
) # Import csv file, set privacy as 'link' and create a default viz
fi.run() #https://github.com/CartoDB/cartodb-python
fi = FileImport(
tr05, cl, create_vis='true', privacy='public'
) # Import csv file, set privacy as 'link' and create a default viz
fi.run() #https://github.com/CartoDB/cartodb-python
fi = FileImport(
tr15, cl, create_vis='true', privacy='public'
) # Import csv file, set privacy as 'link' and create a default viz
fi.run() #https://github.com/CartoDB/cartodb-python
Code: import csv files (timeline.csv and/or tweets.csv) from previous scripts to CartoDB
Note: see below to know how to create an animated or torque map with the imported data
'''
#Import modules
from cartodb import CartoDBAPIKey, CartoDBException, FileImport
#api configuration
API_KEY ='API_KEY'
cartodb_domain = 'USER_DOMAIN'
cl = CartoDBAPIKey(API_KEY, cartodb_domain)
#import csvs
fi = FileImport("C://timeline.csv", cl)
#fi = FileImport("C://tweets.csv", cl) comment last line, and uncomment this to use the code
fi.run()
'''
How to create animated map with point data using Torque in CartoDB*:
Torque is a visualization that allows you to visualize geographic data over time. You can access
it just like you would other Visualization Wizards, from the pull-out tray on the right of your
screen, under the Visualization Wizard.
Once you select Torque, you’ll notice that the column that CartoDB picked to visualize is the cartodbid
column. This column is just an arbitrarily assigned ID number that CartoDB uses and assigns based on the
order of the data in your spreadsheet. In terms of mapping, it’s usually fairly meaningless, so you will
want to change it to something more meaningful, as it’s just the order that the data is in in the table.
We should go ahead and select the column labeled date [note: change your column Time data type from
string to date in your dataset view] since that makes the most sense here.
from _settings import * from cartodb import CartoDBAPIKey, CartoDBException, FileImport # gitignored secret info from _secret_info import cartodb_domain, API_KEY cl = CartoDBAPIKey(API_KEY, cartodb_domain) inFile = wo+'/cb2010tree.csv' fi = FileImport(inFile, cl, create_vis='true', privacy='public') # Import csv file, set privacy as 'link' and create a default viz fi.run() #https://github.com/CartoDB/cartodb-python
def test_file_import(self):
fi = FileImport(IMPORT_FILE, self.client)
fi.run()
self.assertIsNotNone(fi.id)
def get_tweets(event, context):
try:
latest = cdb.sql(
"select * from {table_name} order by postedtime desc limit 1".
format(table_name=TABLE_NAME))["rows"][0]
except CartoDBException as e:
print("some error ocurred", e)
except (IndexError, AttributeError):
start_timestamp = datetime.strptime(
config.get('interval', 'start_timestamp'), "%Y%m%d%H%M")
else:
start_timestamp = dateutil.parser.parse(latest["postedtime"])
end_timestamp = datetime.utcnow()
tmp_table_name = TABLE_NAME + "_" + ''.join(
random.choice(string.ascii_uppercase) for _ in range(25))
tmp_table_filename = tmp_table_name
for i, category in enumerate(categories):
new_job = p.jobs.create(start_timestamp, end_timestamp, tmp_table_name,
category)
new_job.export_tweets(category=i + 1, append=False if i == 0 else True)
# Now, because we can't use ogr2ogr, here comes the HACK!
# 1) Import file into cartodb.com
import_job = FileImport(tmp_table_name + ".csv", cdb)
import_job.run()
if import_job.success is True:
import_job.update()
else:
return
while import_job.state != "complete" and import_job.state != "failure":
time.sleep(5)
import_job.update()
if import_job.state == "failure":
return
tmp_table_name = import_job.table_name # Just in case it changed during import
print "TMP_TABLE_NAME", tmp_table_name
# 3) Append new data from temp table to master table (!!! seq name is hardcoded !!!)
try:
print cdb.sql(
"INSERT INTO {account_name}.{table_name} (actor_displayname,actor_followerscount,actor_friendscount,"
"actor_id,actor_image,actor_listedcount,actor_location,"
"actor_postedtime,actor_preferredusername,actor_statusescount,actor_summary,actor_utcoffset,"
"actor_verified,body,category_name,category_terms,favoritescount,geo,"
"inreplyto_link,link,location_geo,location_name,"
"object_type,"
"postedtime,retweetcount,the_geom,twitter_entities,"
"twitter_lang,cartodb_id) SELECT actor_displayname,actor_followerscount,actor_friendscount,"
"actor_id,actor_image,actor_listedcount,actor_location,"
"actor_postedtime,actor_preferredusername,actor_statusescount,actor_summary,actor_utcoffset,"
"actor_verified,body,category_name,category_terms,favoritescount,geo,"
"inreplyto_link,link,location_geo,location_name,"
"object_type,"
"postedtime,retweetcount,the_geom,twitter_entities,"
"twitter_lang,nextval('rm_cartodb_id_seq_0') as cartodb_id "
"FROM {account_name}.{tmp_table_name}".format(
table_name=TABLE_NAME,
tmp_table_name=tmp_table_name,
account_name=ACCOUNT_NAME))
except CartoDBException as e:
print("Data couldn't be appended to master table", e)
# 4) Delete temporary table
try:
print cdb.sql("DROP TABLE %s CASCADE" % tmp_table_name)
except CartoDBException as e:
print("some error ocurred", e)
try:
os.remove(tmp_table_filename + '.csv')
except OSError:
pass
def test_file_import(self):
fi = FileImport(IMPORT_FILE, self.client)
fi.run()
self.assertIsNotNone(fi.id)