def generate_term_cloud(terms_list, words):
import fietstas_rest
from fietstas_rest import Fietstas
doc = ""
terms = [x[0] for x in terms_list]
weights = [x[1] for x in terms_list]
for i in range(0, min(words,len(terms))):
for j in range(0, weights[i]):
doc += (terms[i] + " ")
f = Fietstas(key='demo-key')
doc_id = f.upload_document(document = doc)
cloud_link, cloud = f.make_cloud(docs=doc_id, words = words)
return cloud_link
def generate_term_cloud(terms_list, words):
import fietstas_rest
from fietstas_rest import Fietstas
doc = ""
terms = [x[0] for x in terms_list]
weights = [x[1] for x in terms_list]
for i in range(0, min(words,len(terms))):
for j in range(0, weights[i]):
doc += (terms[i] + " ")
f = Fietstas(key='0ce798c52985460e9b79dbb23812fc42')
doc_id = f.upload_document(document = doc)
cloud_link, cloud = f.make_cloud(docs=doc_id, words = words, stopwords = 1)
if cloud is None:
# Cloud is not available yet: wait in a loop
for i in range(10):
time.sleep(2)
cloud = f.get_cloud(cloud_link)
if cloud is not None:
break
return cloud, cloud_link
