I'm developing Python scripts for the automated grading of assignments using CanvasAPI, an API wrapper in Python for the Canvas learning management platform. In studying the documentation, I can successfully issue curl commands in Python for a few parameters. For example, this conversion below is for grading a single submission:
Curl command per the Canvas API docs:
PUT /api/v1/courses/:course_id/assignments/:assignment_id/submissions/:user_id
with
submission[posted_grade]
Turns into this via the CanvasAPI Python wrapper:
edit(submission={'posted_grade': 'grade'})
Where I'm running into difficulties is the more complex parameter for rubrics. Using the same PUT request as above, the syntax in the documentation is as follows:
rubric_assessment[criterion_id][points]
For which I have:
edit(rubric_assessment[{'id': 'criterion_9980'},{'points', '37'}])
However, I get the following error:
Traceback (most recent call last):
File "C:\Users\danie\AppData\Local\Temp\atom_script_tempfiles\2021528-29488-1eagfyw.k8hw", line 39, in <module>
submission = assignment.get_submission(10370)
File "C:\Users\danie\AppData\Local\Programs\Python\Python39\lib\site-packages\canvasapi\assignment.py", line 203, in get_submission
response = self._requester.request(
File "C:\Users\danie\AppData\Local\Programs\Python\Python39\lib\site-packages\canvasapi\requester.py", line 255, in request
raise ResourceDoesNotExist("Not Found")
canvasapi.exceptions.ResourceDoesNotExist: Not Found
I suspect I'm fouling up the syntax somewhere along the line. Any suggestions? All help much appreciated.
Related
This is my first post here. I'm building a Python window application with PyQt5 that implements interactions with the OpenAI completions endpoint. So far, any code that I've written myself has performed fine, and I was reaching the point where I wanted to start implementing long-term memory for conversational interactions. I started by just running my own chain of prompts for categorizing and writing topical subjects and summaries to text files, but I decided it best to try exploring open source options to see how the programming community is managing things. This led me to LangChain, which seems to have some popular support behind it and already implements many features that I intend.
However, I have not had even the tiniest bit of success with it yet. Even the most simple examples don't perform, regardless of what context I'm implementing it in (within a class, outside a class, in an asynchronous loop, to the console, to my text browsers within the main window, whatever) I always get the same error message.
The simplest possible example:
import os
from langchain.llms import OpenAI
from local import constants #For API key
os.environ["OPENAI_API_KEY"] = constants.OPENAI_API_KEY
davinci = OpenAI(model_name= 'text-davinci-003', verbose=True, temperature=0.6)
text = "Write me a story about a guy who is frustrated with Python."
print("Prompt: " + text)
print(davinci(text))
It capably instantiates the wrapper and prints the prompt to the console, but at any point a command is sent through the wrapper's functions to receive generated text, it encounters this AttributeError.
Here is the traceback:
Traceback (most recent call last):
File "D:\Dropbox\Pycharm Projects\workspace\main.py", line 16, in <module>
print(davinci(text))
File "D:\Dropbox\Pycharm Projects\workspace\venv\lib\site-packages\langchain\llms\base.py", line 255, in __call__
return self.generate([prompt], stop=stop).generations[0][0].text
File "D:\Dropbox\Pycharm Projects\workspace\venv\lib\site-packages\langchain\llms\base.py", line 128, in generate
raise e
File "D:\Dropbox\Pycharm Projects\workspace\venv\lib\site-packages\langchain\llms\base.py", line 125, in generate
output = self._generate(prompts, stop=stop)
File "D:\Dropbox\Pycharm Projects\workspace\venv\lib\site-packages\langchain\llms\openai.py", line 259, in _generate
response = self.completion_with_retry(prompt=_prompts, **params)
File "D:\Dropbox\Pycharm Projects\workspace\venv\lib\site-packages\langchain\llms\openai.py", line 200, in completion_with_retry
retry_decorator = self._create_retry_decorator()
File "D:\Dropbox\Pycharm Projects\workspace\venv\lib\site-packages\langchain\llms\openai.py", line 189, in _create_retry_decorator
retry_if_exception_type(openai.error.Timeout)
AttributeError: module 'openai.error' has no attribute 'Timeout'
I don't expect that there is a fault in the LangChain library, because it seems like nobody else has experienced this problem. I imagine I may have some dependency issue? Or I do notice that others using the LangChain library are doing so in a notebook development environment, and my lack of familiarity in that regard is making me overlook some fundamental expectation of the library's use?
Any advice is welcome! Thanks!
What I tried: I initially just replaced my own function for managing calls to the completion endpoint with one that issued the calls through LangChain's llm wrapper. I expected it to work as easily as my own code had, but I received that error. I then stripped everything apart layer by layer attempting to instantiate the wrapper at every scope of the program, then I attempted to make the calls in an asynchronous function through a loop that waited to completion, and no matter what, I always get that same error message.
I think it might be something about your current installed versions of Python, OpenAI, and/or LangChain. Maybe try using a newer version of Python and OpenAI. I'm new to Python and these things but hopefully I could help.
I am working a somewhat extensive python program that uses multiprocessing. Because I wanted the user to see some progress on the console when running the program, I read about using a shared counter on stackoverflow and after a while of playing around with my code, I got it to work. As I said it's too much code to post here, but the gist is that I instantiate a multiprocessing array after the name==main line,
if __name__ == "__main__":
total_progress_counter = Array('i',[0,0])
and then during the main portion of code I pass this array to a function in other module:
some_name.plot(<other variables>,
total_progress_counter=total_progress_counter)
Then within that other function, I used the .get_lock method that I found described here on stackoverflow:
with total_progress_counter.get_lock():
total_progress_counter[0] += self.total_panels_to_plot
I also update the other component, total_progress_counter[1], in the same function. This works fine for me on my work machine, where I wrote the code, and that machine has a Centos operating system.
But, when I run it on my personal MacBook it gives the following traceback:
Traceback (most recent call last):
File "./program.py", line 775, in <module>
program.run()
File "./program.py", line 177, in run
cases_plotted = pool.map(self.__plot__, all_cases)
File "/opt/anaconda3/lib/python3.8/multiprocessing/pool.py", line 364, in map
return self._map_async(func, iterable, mapstar, chunksize).get()
File "/opt/anaconda3/lib/python3.8/multiprocessing/pool.py", line 771, in get
raise self._value
AttributeError: 'list' object has no attribute 'get_lock'
I have python3 version 3.8.3 on my personal machine and python3 version 3.7.4 on my work machine. Can anyone help me understand why I'm getting different behavior on these two environments? I'd be grateful, as this is meant to be software others might use on different machines.
I read in the howto documentation to install Trigger, but when I test in python environment, I get the error below:
>>> from trigger.netdevices import NetDevices
>>> nd = NetDevices()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python2.7/dist-packages/trigger/netdevices/__init__.py", line 913, in __init__
with_acls=with_acls)
File "/usr/local/lib/python2.7/dist-packages/trigger/netdevices/__init__.py", line 767, in __init__
production_only=production_only, with_acls=with_acls)
File "/usr/local/lib/python2.7/dist-packages/trigger/netdevices/__init__.py", line 83, in _populate
# device_data = _munge_source_data(data_source=data_source)
File "/usr/local/lib/python2.7/dist-packages/trigger/netdevices/__init__.py", line 73, in _munge_source_data
# return loader.load_metadata(path, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/trigger/netdevices/loader.py", line 163, in load_metadata
raise RuntimeError('No data loaders succeeded. Tried: %r' % tried)
RuntimeError: No data loaders succeeded. Tried: [<trigger.netdevices.loaders.filesystem.XMLLoader object at 0x7f550a1ed350>, <trigger.netdevices.loaders.filesystem.JSONLoader object at 0x7f550a1ed210>, <trigger.netdevices.loaders.filesystem.SQLiteLoader object at 0x7f550a1ed250>, <trigger.netdevices.loaders.filesystem.CSVLoader object at 0x7f550a1ed290>, <trigger.netdevices.loaders.filesystem.RancidLoader object at 0x7f550a1ed550>]
Does anyone have some idea how to fix it?
The NetDevices constructor is apparently trying to find a "metadata source" that isn't there.
Firstly, you need to define the metadata. Second, your code should handle the exception where none is found.
I'm the lead developer of Trigger. Check out the the doc Working with NetDevices. It is probably what you were missing. We've done some work recently to improve the quality of the setup/install docs, and I hope that this is more clear now!
If you want to get started super quickly, you can feed Trigger a CSV-formatted NetDevices file, like so:
test1-abc.net.example.com,juniper
test2-abc.net.example.com,cisco
Just put that in a file, e.g. /tmp/netdevices.csv and then set the NETDEVICES_SOURCE environment variable:
export NETDEVICES_SOURCE=/tmp/netdevices.csv
And then fire up python and continue on with your examples and you should be good to go!
I found that the default of /etc/trigger/netdevices.xml wasn't listed in the setup instructions. It did indicate to copy from the trigger source folder:
cp conf/netdevices.json /etc/trigger/netdevices.json
But, I didn't see how to specify this instead of the default NETDEVICES_SOURCE on the installation page. But, as soon as I had a file that NETDEVICES_SOURCE pointed to in my /etc/trigger folder, it worked.
I recommend this to get the verifying functionality examples to work right away with minimal fuss:
cp conf/netdevices.xml /etc/trigger/netdevices.xml
Using Ubuntu 14.04 with Python 2.7.3
I currently am trying to use
paraview.simple.Histogram(Input, params)
as
paraview.simple.Histogram(q, BinCount = 30)
in the shell where q is a variable data set from my "out.e" ExodusII file. I'm getting the error
Traceback (most recent call last):
File "<console>", line 1, in <module>
NameError: name 'q' is not defined
I've tried to search the literature on python shell scripting in Paraview but it seems to be eluding me. I know this is a quick fix. Thanks
Try this instead:
Histogram(SelectInputArray="q", BinCount=30)
This assumes you currently have the reader as the active object in the Pipeline browser.
I was able to answer this problem using the following.
outset = Reader(FileName=['/dir/out.e'])
and for the Histogram
histogram1_1 = Histogram(Input=outset)
histogram1_1.SelectInputArray = ['CELLS', 'q']
histogram1_1.BinCount = 30
Note for anyone who comes into this issue, the TRACE option in the Python Shell will build a script for you when you do anything in the GUI.
Basically, I want to read the CPU temperature with Python. Please explain in layman's terms as I have never done this on Windows before nor have I had to work with wmi.
This is what I have at the moment:
import wmi
w = wmi.WMI(namespace="root\wmi")
temperature_info = w.MSAcpi_ThermalZoneTemperature()[0]
print temperature_info.CurrentTemperature
(I got this code from this thread: Accessing CPU temperature in python)
However, on running the script, I get this error:
Traceback (most recent call last):
File "C:\Users\Ryan\Desktop\SerialSystemMonitor", line 4, in <module>
temperature_info = w.MSAcpi_ThermalZoneTemperature()[0]
File "C:\Python27\lib\site-packages\wmi.py", line 819, in query
handle_com_error ()
File "C:\Python27\lib\site-packages\wmi.py", line 241, in handle_com_error
raise klass (com_error=err)
x_wmi: <x_wmi: Unexpected COM Error (-2147217396, 'OLE error 0x8004100c', None, None)>
What can I do to get this to work?
According to the MSDN page on WMI Error Constants, the error you have received is:
WBEM_E_NOT_SUPPORTED
2147749900 (0x8004100C)
Feature or operation is not supported.
Presumably, then, your CPU does not provide temperature information through WMI. If your CPU doesn't expose this information, you're probably out of luck, at least as far as a straightforward solution in Python goes.
I assume you've tried the other option given in the answer you linked, using Win32_TemperatureProbe(); if you haven't, try it.
Just execute as Admin. It's work for me.