def get(self):
# lets clear datastore
clear_query = Placebo.all()
num_entities = clear_query.count()
while num_entities > 400:
clear_query = Placebo.all()
garbage = clear_query.fetch(400)
db.delete(garbage)
num_entities = num_entities - 400
else:
db.delete(clear_query)
self.redirect('/')
def get(self):
# lets clear datastore
clear_query = Placebo.all()
num_entities = clear_query.count()
while num_entities > 400:
clear_query = Placebo.all()
garbage = clear_query.fetch(400)
db.delete(garbage)
num_entities = num_entities - 400
else:
db.delete(clear_query)
self.redirect('/')
def post(self):
# this is the main block of code
# lets jazz
# first - catch the passed file:
if self.request.get("csv"):
# datastore is clear !
# let's save new spreadsheet into it
j = 0
new_data_source = self.request.get("csv")
# remove all parasitic symbols from the source
new_data_clear = new_data_source.replace ('\n', '')
# next step is to split this Megastring into the lines:
data_chunks = new_data_clear.splitlines()
# and deeper split everyone into the words:
for line in data_chunks:
line = line.replace ('"', '')
line = line.replace ('; ', '#%')
data = line.split(";")
# lets put chunks into datastore
row = Placebo()
row.developer = data[0]
row.OID = data[1]
row.concept = data[2]
row.concept_words = Extract_Words(data[2])
row.category = data[3]
row.category_words = Extract_Words(row.category)
row.taxonomy = data[4]
row.taxonomy_words = Extract_Words(row.taxonomy)
row.taxonomy_version = data[5]
row.code = data[6]
row.descriptor = data[7].replace ('#%', '; ')
row.put()
j = j+1
logging.info('Putting '+str(j)+' rows')
self.redirect('/')
def post(self):
# this is the main block of code
# lets jazz
# first - catch the passed file:
if self.request.get("csv"):
j = 0
new_data_source = self.request.get("csv")
# next step is split this file into lines:
data_chunks = new_data_source.splitlines()
# and deeper split everyone into words:
for line in data_chunks:
data = line.split(";")
# lets put chunks into datastore
row = Placebo()
try: row.developer = data[0]
except IndexError:
# logging.info(data[0]+str(j))
pass
try: row.OID = data[1]
except IndexError:
# logging.info(data[1]+str(j))
pass
try: row.concept = data[2]
except IndexError:
# logging.info(data[2]+str(j))
pass
try: row.category = data[3]
except IndexError:
# logging.info(data[3]+str(j))
pass
try: row.taxonomy = data[4]
except IndexError:
# logging.info(data[4]+str(j))
pass
try: row.taxonomy_version = data[5]
except IndexError:
# logging.info(data[5]+str(j))
pass
try: row.code = data[6]
except IndexError:
# logging.info(data[6]+str(j))
pass
try: row.descriptor = data[7]
except IndexError:
# logging.info(data[7]+str(j))
pass
row.put()
j = j+1
logging.info('Putting '+str(j)+' rows')
# if j == 1904:
# logging.info(data[1])
# greeting.avatar = db.Blob(avatar)
# greeting.put()
self.redirect('/nurce/')
def post(self):
# this is the main block of code
# lets jazz
# first - catch the passed file:
if self.request.get("csv"):
# datastore is clear !
# let's save new spreadsheet into it
j = 0
new_data_source = self.request.get("csv")
# remove all parasitic symbols from the source
new_data_clear = new_data_source.replace('\n', '')
# next step is to split this Megastring into the lines:
data_chunks = new_data_clear.splitlines()
# and deeper split everyone into the words:
for line in data_chunks:
line = line.replace('"', '')
line = line.replace('; ', '#%')
data = line.split(";")
# lets put chunks into datastore
row = Placebo()
row.developer = data[0]
row.OID = data[1]
row.concept = data[2]
row.concept_words = Extract_Words(data[2])
row.category = data[3]
row.category_words = Extract_Words(row.category)
row.taxonomy = data[4]
row.taxonomy_words = Extract_Words(row.taxonomy)
row.taxonomy_version = data[5]
row.code = data[6]
row.descriptor = data[7].replace('#%', '; ')
row.put()
j = j + 1
logging.info('Putting ' + str(j) + ' rows')
self.redirect('/')
