I'm working with Python using the standard xmlrpclib library communicating between a JavaServer (that host xmlrpc server) and my python client. I have a problem and I hope that you should solve my issue.
I want to send a DOM instance through xmlrpc protocol. I know that the instance are impossible to manage by xmlrpclib library in Python but this is what I need. I'm trying to understand why is not possible to marshal the class Nodelist and I recognize that the target function is dumps(self, values) in class Marshaller because she couldn't find this type of Python Object.
For Instance, the Fault code is this:
Traceback (most recent call last):
File "testRestSwi.py", line 31, in <module>
conn.xxx.xxx(dom3,"xxx","xxx")
File "/usr/lib/python2.7/xmlrpclib.py", line 1224, in __call__
return self.__send(self.__name, args)
File "/usr/lib/python2.7/xmlrpclib.py", line 1572, in __request
allow_none=self.__allow_none)
File "/usr/lib/python2.7/xmlrpclib.py", line 1085, in dumps
data = m.dumps(params)
File "/usr/lib/python2.7/xmlrpclib.py", line 632, in dumps
dump(v, write)
File "/usr/lib/python2.7/xmlrpclib.py", line 654, in __dump
f(self, value, write)
File "/usr/lib/python2.7/xmlrpclib.py", line 756, in dump_instance
self.dump_struct(value.__dict__, write)
File "/usr/lib/python2.7/xmlrpclib.py", line 735, in dump_struct
dump(v, write)
File "/usr/lib/python2.7/xmlrpclib.py", line 646, in __dump
raise TypeError, "cannot marshal %s objects" % type(value)
TypeError: cannot marshal <class 'xml.dom.minicompat.NodeList'> objects
Now, I would want to solve this problem and for sure there are many solutions. But I don't know how to develop or implement something within the xmlrpclib in order to avoid the "marshalling" problem. Keep in mind that the file object must be a DOM, is aim, unchangeable.
For Instance, I'm developing the following:
import xml.dom.minidom as parser
import xmlrpclib
dom3 = parser.parseString("xxx")
conn = xmlrpclib.ServerProxy('xxx',allow_none=True,verbose=True)
conn.xxx.xxx(dom3,"xxx","xxx") #<--- The problem Here.
Might you help me?
Related
I'm using the GUI for QGIS, not writing my own Python script. I'm using the QNEAT3 plugin to create isochrones using the Iso-Area as Polygons (from Point) algorithm. I'm getting the following error when I run the algorithm (screenshot of my parameters is attached):
Traceback (most recent call last):
File "C:\Users/emmaj/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins\QNEAT3\algs\IsoAreaAsPolygonsFromPoint.py", line 249, in processAlgorithm
polygon_featurelist = net.calcIsoPolygons(max_dist, interval, output_path)
File "C:\Users/emmaj/AppData/Roaming/QGIS/QGIS3\profiles\default/python/plugins\QNEAT3\Qneat3Framework.py", line 470, in calcIsoPolygons
band_in = ds_in.GetRasterBand(1)
AttributeError: 'NoneType' object has no attribute 'GetRasterBand'
The parameters attached are what I'm using right now, but I will need to change the size of Iso-area eventually to create different isochrones. However, I've replicated this error with different size values.
How can I fix this error?
I have successfully created a classifier using 20 classes, with 200 images in each class. When I try to add additional classes to this classifier, the API call fails:
Traceback (most recent call last):
File "create_classifier.py", line 34, in <module>
print visual_recognition.update_classifier('flowers_1337689264', **myhash)
File "/usr/local/lib/python2.7/dist-packages/watson_developer_cloud/visual_recognition_v3.py", line 96, in update_classifier
params=params, accept_json=True)
File "/usr/local/lib/python2.7/dist-packages/watson_developer_cloud/watson_developer_cloud_service.py", line 268, in request
raise WatsonException(error_message)
watson_developer_cloud.watson_developer_cloud_service.WatsonException: Unknown error
Here is my code:
import json
from watson_developer_cloud import VisualRecognitionV3
from glob import glob
visual_recognition = VisualRecognitionV3('2016-05-20', api_key='xxxx')
myhash = {}
for f in sorted(glob('*.zip'))[20:30]:
clas = f.replace('.zip','');
clas = clas.replace(' ', '-')
clas += '_positive_examples'
myhash[clas] = open(f, 'rb')
print myhash
#print visual_recognition.create_classifier('test', **myhash)
print visual_recognition.update_classifier('test_1337689264', **myhash)
Not sure if this is your problem, but there is an issue for retraining - If your training .zip file included files that are named like images (for example, *.jpg or *.png), but are not actually valid image files, the system will think it has incomplete data when trying to marshal all the vectors for retraining. This can occur frequently when using .zip files from MacOS, which might include a "hidden" __MACOSX folder with files named like this.
A solution for this issue of non-image files causing retraining to fail was deployed on Aug 10, 2016. Classifiers created after that date should not be hindered in retraining from non-image files presence in the training examples. It's not retroactive, though, so the workaround for classifiers trained before that date is to start the training process over with the same input zip files to create a new one, and then delete the old classifier.
I'm a having a problem with the python-docx library. I'm following this page's example however it doesn't seem to work. Can anyone provide some assistance?
>>> all_runs[0]
<docx.text.Run object at 0x7f49b899c5d0>
>>> play=all_runs[0]
>>> play.add_break(WD_BREAK.PAGE)
>>> play.breaks
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: 'Run' object has no attribute 'breaks'
That page is part of the design documentation, not as-built documentation (notice the title 'Candidate' protocol). There is no breaks property implemented on Run as yet.
If you can say a bit about what you're trying to accomplish I may be able to help.
I'm using celery with a function which writes data into a database table.
This table doesn't have a related model inside models.py because I create it dynamically using django-mutant.
When I run my task, it correctly writes on my dynamic table, but at the very end of the task I get the following error:
[2013-07-10 09:10:45,707: CRITICAL/MainProcess] Task topology_py.Functions.Functions.objectAggregate[aff70510-1e93-4610-b08c-c3675c92afe9] INTERNAL ERROR: PicklingError("Can't pickle <class 'mutant.apps.tss.models.1_tmp'>: import of module mutant.apps.tss.models failed",)
Traceback (most recent call last):
File "/usr/lib/python2.7/site-packages/celery/task/trace.py", line 261, in trace_task
for callback in task_request.callbacks or []]
File "/usr/lib/python2.7/site-packages/celery/canvas.py", line 197, in apply_async
return self._apply_async(args, kwargs, **options)
File "/usr/lib/python2.7/site-packages/celery/app/task.py", line 472, in apply_async
**options)
File "/usr/lib/python2.7/site-packages/celery/app/amqp.py", line 249, in publish_task
**kwargs
File "/usr/lib/python2.7/site-packages/kombu/messaging.py", line 157, in publish
compression, headers)
File "/usr/lib/python2.7/site-packages/kombu/messaging.py", line 233, in _prepare
body) = encode(body, serializer=serializer)
File "/usr/lib/python2.7/site-packages/kombu/serialization.py", line 170, in encode
payload = encoder(data)
File "/usr/lib/python2.7/site-packages/kombu/serialization.py", line 356, in dumps
return dumper(obj, protocol=pickle_protocol)
PicklingError: Can't pickle <class 'mutant.apps.tss.models.1_tmp'>: import of module mutant.apps.tss.models failed
The model that celery is searching for, 1_tmp is not stored in my app, named tss, but inside mutant app tables.
My problem is that if I chain this function as a subtask to another subtask, celery terminates with this error at the end of the first one!
Is there a way to tell celery where to find this model or anyway to skip this error and go further to next subtasks?
Thanks in advance.
EDIT: at the moment I can run even 5 functions in a chain using 5 immutable subtasks. They work correctly and fill correctly the dynamic table, but the first one, and only the first one, continue producing the error described...Can you give me and idea of why only the first one give me the error since that they access the dynamic model in the same identical way?
I resolved: it was an issue inside my first function: I was returning an object of the dynamic model at the end of its execution and that made a celery/django-mutant mess.
This object was completely useless and so deleting its return solved the problem.
Thank you everybody.
I run the example in the tutorial Django style multiple apps with web.py, but it does not working. The following is error message:
Traceback (most recent call last):
File "run.py", line 11, in <module>
delegate.run(mapping)
File "/home/siongui/dev/test/delegate.py", line 31, in run
web.run(handler, {})
AttributeError: 'module' object has no attribute 'run'
My web.py version is 0.37. Is there any idea on how to fix this? Thanks.
(subapp is not a option for me.)
There is some addition for the application module in 0.3 (http://webpy.org/docs/0.3/)
Applications. How to map urls to python code paths.
- Basic app. Map regexes to classes.
- Auto app. Have webpy keep track of the urls based on class name.
- Subdir app. Host multiple apps based on the sub-directory.
- Subdomain app. Host multiple apps based on the subdomain.
Following this cookbook should get things to work.
http://webpy.org/cookbook/subapp
It's even easier than the example provided at webpy.org.
Updating that Django style multiple apps example:
Keep wiki.py, and blog.py as specified in the example
don't bother with delegate.py hack: it's no longer needed.
change run.py to:
"""run.py"""
import web
import wiki
import blog
urls = ("/blog", blog.app_blog,
"/wiki", wiki.app_wiki,
"/(.*)", "index")
class index:
def GET(self, path):
return "other: " + path
app = web.application(urls, locals())
if __name__ == "__main__":
app.run()
The key change is the urls specified in run.py. If the second item is a string ("index" in the above example) then web.py expects that to be a class to handle the matching url ("/(.*)" in the example). This is the way webpy normally works.
However, if the second item is type application (blog.app_blog, for example), then the matching url (/blog) isn't a regex, it's a prefix & all incoming requests matching that prefix are handed to the related application (and the prefix is removed from the incoming request).