def open_csv(self):
# get the CSV file.
# csv_url = datasetrevision.end_point
# el API no tiene IOC para cargar al request con el bucket_name
from core.lib.datastore import active_datastore
import urllib
account = self.account
bucket_name = account.get_preference(
'account_bucket_name') if account.get_preference(
'account_bucket_name') else settings.AWS_BUCKET_NAME
datasetrevision = self.datasetrevision
# detect local vs URL
end_point = datasetrevision.end_point
if end_point.find('file://') == 0:
self.csv_url = active_datastore.build_url(
bucket_name, datasetrevision.end_point.replace("file://", ""))
else:
self.csv_url = end_point
logger.info('OPEN CSV. url:{}'.format(self.csv_url))
# guardar el archivo con un nombre vinculado a su URL para no repetir esta descarga
# en procesos de paginado
import base64, os.path, tempfile
# full /tmp disk filename = os.path.join(tempfile.gettempdir(), base64.b64encode(self.csv_url))
filename = os.path.join('/mnt/all', base64.b64encode(self.csv_url))
exists = os.path.isfile(filename)
self.csv_local_file = filename
logger.info('OPEN CSV check file:{} ({})'.format(filename, exists))
if exists:
return self.csv_local_file
try:
# csv_file = urllib2.urlopen(csv_url)
self.csv_local_file, headers = urllib.urlretrieve(
self.csv_url, self.csv_local_file)
logger.info('OPEN CSV. local:{}'.format(self.csv_local_file))
except Exception, e:
logger.error(e)
return None
def open_csv(self):
# get the CSV file.
# csv_url = datasetrevision.end_point
# el API no tiene IOC para cargar al request con el bucket_name
from core.lib.datastore import active_datastore
import urllib
account = self.account
bucket_name = account.get_preference('account_bucket_name') if account.get_preference('account_bucket_name') else settings.AWS_BUCKET_NAME
datasetrevision = self.datasetrevision
# detect local vs URL
end_point = datasetrevision.end_point
if end_point.find('file://') == 0:
self.csv_url = active_datastore.build_url(bucket_name, datasetrevision.end_point.replace("file://", ""))
else:
self.csv_url = end_point
logger.info('OPEN CSV. url:{}'.format(self.csv_url))
# guardar el archivo con un nombre vinculado a su URL para no repetir esta descarga
# en procesos de paginado
import base64, os.path, tempfile
# full /tmp disk filename = os.path.join(tempfile.gettempdir(), base64.b64encode(self.csv_url))
filename = os.path.join('/mnt/all', base64.b64encode(self.csv_url))
exists = os.path.isfile(filename)
self.csv_local_file = filename
logger.info('OPEN CSV check file:{} ({})'.format(filename, exists))
if exists:
return self.csv_local_file
try:
# csv_file = urllib2.urlopen(csv_url)
self.csv_local_file, headers = urllib.urlretrieve(self.csv_url, self.csv_local_file)
logger.info('OPEN CSV. local:{}'.format(self.csv_local_file))
except Exception, e:
logger.error(e)
return None
@require_http_methods(["GET"])
def download(request, dataset_id, slug):
""" download dataset file directly """
logger = logging.getLogger(__name__)
# get public url for datastream id
try:
dataset_revision_id = DatasetRevision.objects.get_last_published_id(dataset_id)
dataset = DatasetDBDAO().get(request.auth_manager.language, dataset_revision_id=dataset_revision_id)
except Exception, e:
logger.info("Can't find the dataset: %s [%s]" % (dataset_id, str(e)))
raise Http404
else:
filename = dataset['filename'].encode('utf-8')
# ensure it's a downloadable file on S3
if dataset['end_point'][:7] != "file://":
return HttpResponse("No downloadable file!")
url = active_datastore.build_url(
request.bucket_name,
dataset['end_point'].replace("file://", ""),
{'response-content-disposition': 'attachment; filename={0}'.format(filename)}
)
content_type = settings.CONTENT_TYPES.get(settings.IMPL_TYPES.get(dataset['impl_type']))
redirect = HttpResponse(status=302, mimetype=content_type)
redirect['Location'] = url
return redirect
# get public url for datastream id
try:
dataset_revision_id = Dataset.objects.get(
pk=dataset_id).last_published_revision.id
dataset = DatasetDBDAO().get(request.user,
dataset_revision_id=dataset_revision_id)
except Exception, e:
logger.info("Can't find the dataset: %s [%s]" % (dataset_id, str(e)))
raise Http404
else:
filename = dataset['filename'].encode('utf-8')
# ensure it's a downloadable file on S3
if dataset['end_point'][:7] != "file://":
return HttpResponse("No downloadable file!")
url = active_datastore.build_url(
request.bucket_name, dataset['end_point'].replace("file://", ""))
impl_type = settings.IMPL_TYPES.get(str(dataset['impl_type']))
content_type = settings.CONTENT_TYPES.get(impl_type)
if settings.DEBUG:
logger.info(
'Dataset download %s -- %s -- %s -- %s -- %s' %
(filename, content_type, url, dataset['impl_type'], impl_type))
""" no funciona asi
redirect = HttpResponse(status=302, content_type=content_type)
redirect['Location'] = url
redirect['Content-Disposition'] = 'attachment; filename="{0}"'.format(filename)
"""
redirect = HttpResponse(
content_type=content_type
