Background: I'm taking data in my Python/AppEngine project and creating a .tsv file so that I can create charts with d3.js. Right now I'm writing the CSV with each page load; I want to instead store the file once in Google Cloud Storage and read it from there.
How I'm currently writing the file, each time the page is loaded!:
def get(self): ## this gets called when loading myfile.tsv from d3.js
datalist = MyEntity.all()
self.response.headers['Content-Type'] = 'text/csv'
writer = csv.writer(self.response.out, delimiter=' ')
writer.writerow(['field1', 'field2'])
for eachco in datalist:
writer.writerow([eachco.variable1, eachco.variable2])
And while inefficient, this is working just fine.
Using this Google Cloud Storage documentation, I've been trying to get something like this working:
def get(self):
filename = '/bucket/myfile.tsv'
datalist = MyEntity.all()
bucket_name = os.environ.get('BUCKET_NAME', app_identity.get_default_gcs_bucket_name())
write_retry_params = gcs.RetryParams(backoff_factor=1.1)
writer = csv.writer(self.response.out, delimiter=' ')
gcs_file = gcs.open(filename, 'w', content_type='text/csv', retry_params=write_retry_params)
gcs_file.write(writer.writerow(['field1', 'field2']))
for eachco in datalist:
gcs_file.write(writer.writerow([eachco.variable1, eachco.variable2]))
gcs_file.close()
But I'm getting:
TypeError: Expected str but got <type 'NoneType'>.
I thought that the output of csv.writer would be a string, so I'm not sure why I'm getting the TypeError.
So I can think of two situations:
I'd appreciate any help!
edit - full traceback
Traceback (most recent call last):
File "/Applications/GoogleAppEngineLauncher.app/Contents/Resources/GoogleAppEngine-default.bundle/Contents/Resources/google_appengine/lib/webapp2-2.5.1/webapp2.py", line 1530, in __call__
rv = self.router.dispatch(request, response)
File "/Applications/GoogleAppEngineLauncher.app/Contents/Resources/GoogleAppEngine-default.bundle/Contents/Resources/google_appengine/lib/webapp2-2.5.1/webapp2.py", line 1278, in default_dispatcher
return route.handler_adapter(request, response)
File "/Applications/GoogleAppEngineLauncher.app/Contents/Resources/GoogleAppEngine-default.bundle/Contents/Resources/google_appengine/lib/webapp2-2.5.1/webapp2.py", line 1102, in __call__
return handler.dispatch()
File "/mydirectory/myapp/handlers.py", line 21, in dispatch
webapp2.RequestHandler.dispatch(self)
File "/Applications/GoogleAppEngineLauncher.app/Contents/Resources/GoogleAppEngine-default.bundle/Contents/Resources/google_appengine/lib/webapp2-2.5.1/webapp2.py", line 572, in dispatch
return self.handle_exception(e, self.app.debug)
File "/Applications/GoogleAppEngineLauncher.app/Contents/Resources/GoogleAppEngine-default.bundle/Contents/Resources/google_appengine/lib/webapp2-2.5.1/webapp2.py", line 570, in dispatch
return method(*args, **kwargs)
File "/mydirectory/myapp/thisapp.py", line 384, in get
gcs_file.write(writer.writerow(['field1', 'field2']))
File "lib/cloudstorage/storage_api.py", line 754, in write
raise TypeError('Expected str but got %s.' % type(data))
TypeError: Expected str but got <type 'NoneType'>.
You're still attempting to create the writer on a response:
writer = csv.writer(self.response.out, delimiter=' ')
You need to write to the GCS file. Something like this:
datalist = MyEntity.all()
bucket_name = os.environ.get('BUCKET_NAME', app_identity.get_default_gcs_bucket_name())
filename = os.path.join(bucket_name, 'myfile.tsv')
write_retry_params = gcs.RetryParams(backoff_factor=1.1)
gcs_file = gcs.open(filename, 'w', content_type='text/csv', retry_params=write_retry_params)
writer = csv.writer(gcs_file, delimiter=' ')
writer.writerow(['field1', 'field2'])
for eachco in datalist:
writer.writerow([eachco.variable1, eachco.variable2])
gcs_file.close()
Notes:
bucket_name
get()
request you may want to check if the file already exists and, if so, use it, otherwise you'd be still generating it at every request. Alternatively you could move this code on a task or in the .tsv
upload handler.这篇关于写入 CSV 以存储在 Google Cloud Storage 中的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持跟版网!