I been trying to iterate over status, but I’m getting this error:
Traceback <most recent call last>:
File “<console>”, line 2, in <module>
NameError: name ‘process_status’ is not defined.
Below is the codes:
from tweepy import Cursor
for status in Cursor(api.user_timeline).items():
process_status(status)
What I’m I doing wrong? Thanks!
As highlighted by Jonas Heidelberg, one has to write her/his own process_status (or whatever name) function.
Say you're authenticated and your API instance (api) is constructed. Now, you want to print out the last 10 tweets in your timeline:
def process_status(sta):
print(sta.text)
for status in tweepy.Cursor(api.user_timeline).items(10):
process_status(status)
It is as simple. And, it's a shame tweepy's documentation is so confusing (IMO).
You are probably looking at this tweepy documentation?
You need to write that function, process_status, yourself to do whatever you want with the status. If you have written it, it cannot be found by Python.
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.
Excuse the debugging question, new to coding in general. Cannot understand why my code suddenly wont run.
I have checked for typos which seems to not be my problem.
filepath = '/proper_noun.txt'
def pluralize(word):
proper_nouns = [line.strip() for line in open (filepath)]
for item in proper_nouns: ### print out the list once.
if (item==[-1]):
break;
currently working in google colab.
At this point, I'm just trying to return the items from 'proper_nouns' into a list to get the ball rolling. Any ideas?
print (proper_nouns)
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-29-c6832e0493e8> in <module>()
----> 1 print (proper_nouns)
NameError: name 'proper_nouns' is not define
Thanks guys. I hope this question follows SOF etiquette
Since you are working on Google Colab, my guesss is that you accidentally don't run the code from the beginning (from example if you selected the code starting from for item in proper_nouns: and only run the selected part, or if you split your program in different cells), and therefore proper_nouns is not defined yet.
Please make sure you run everything and tell us if that was it.
EDIT: I just thought of another option: is the line print(proper_nouns) in the pluralize function? If not, the scope of proper_nouns being the function, it's normal that it is not defined outside of the function. To access it from the outside, you must either declare it outside the function, or return it.
I'm working on a convoluted FOSS project that utilizes GTK+3. When a flow graph is generated and attempted to run it, it generates the following error:
'Page' object has no attribute 'get_flow_graph'
There are 30 different files that have the generic "...object has no attribute..." exception listed in the code, and there are 4 files that call the function get_flow_graph().
So what I want to figure out is which of the 30 files that generate that particular error message is being executed, and preferably which of the 4 files with the function are causing the error in the first place.
I'm trying to use Python's traceback module to figure out where, specifically, the exception is being generated. I think I figured out the file that is calling the function that ultimately errors out, but I can't seem to get the traceback module to provide much more.
For example, if I wrap the function like this:
try:
fg = self.page.get_flow_graph()
except Exception:
traceback.print_exc()
then I just get
File "<redacted>", line 66, in _popen
fg = self.page.get_flow_graph()
AttributeError: 'Page' object has no attribute 'get_flow_graph'
'Page' object has no attribute 'get_proc'
as the output. So I get the original exception but a new get_proc error that doesn't help me but is obviously associated with trying to use traceback.
Maybe I'm not putting the trace in the correct file/location, or maybe I'm asking too much, but how should I write it to figure out the actual stack trace for the original AttributeError?
Does using
except AttributeError as e:
print(e.__traceback__.tb_lineno)
print(e.__traceback__.tb_frame)
instead, helps you further? (really asking, not being ironic)
For some reason, when I'm trying to update one cell using the Google Spreadsheets API in Python, like so:
import gdata.spreadsheets.client
import gdata.gauth
gd_client = gdata.spreadsheets.client.SpreadsheetsClient()
gd_client.auth_token = gdata.gauth.OAuth2TokenFromCredentials(credentials)
wksht_id = od6
gd_client.update_cell(spreadsheet_k, wksht_id, 3, 17, 'TEST')
I get this error:
AttributeError: 'SpreadsheetsClient' object has no attribute 'update_cell'
Even though in the source code for client.py, update_cell is very clearly a method for the SpreadsheetsClient class: https://code.google.com/p/gdata-python-client/source/browse/src/gdata/spreadsheets/client.py
This cell has something in it, if that makes any difference. But that's not where the error is coming from. I just have no idea why this isn't working. Maybe something to do with different versions of the API?
What am I not seeing?
Figured it out! Turns out the source code was updated with the update_cell method but the gdata downloads were never given this method for some reason. You have to go to the source code and copy the method over to your own copy of gdata, or use this workaround: https://gist.github.com/egor83/4634422
I'm trying to get the sample and other sample codes i find for pyuno running with openoffice 3.1.1 and python 2.5 with no luck.
Unfortunately, pyuno does not give any clues about what goes wrong.
In [1]: import uno
In [2]: local = uno.getComponentContext()
In [3]: resolver = local.ServiceManager.createInstanceWithContext("com.sun.star.bridge.UnoUrlResolver", local)
---------------------------------------------------------------------------
com.sun.star.uno.RuntimeException Traceback (most recent call last)
/opt/openoffice.org/basis3.1/program/ in ()
com.sun.star.uno.RuntimeException: : 'tuple' object has no attribute 'getTypes', traceback follows
no traceback available
below is the output of execution of /opt/openoffice.org/basis3.1/program/officehelper.py
which basically boots the headless office instance and returns a related context object.
den#ev:/opt/openoffice.org/basis3.1/program > python officehelper.py
Traceback (most recent call last):
File "officehelper.py", line 42, in
from com.sun.star.connection import NoConnectException
File "uno.py", line 273, in _uno_import
RuntimeException = pyuno.getClass( "com.sun.star.uno.RuntimeException" )
RuntimeError: pyuno.getClass: expecting one string argument
pyuno takes only 1 argument and it hasto be a string, as defined in http://udk.openoffice.org/source/browse/udk/pyuno/source/module/pyuno_module.cxx?rev=1.14&view=markup
i could not manage to get pyuno.getClass work anyway.
any suggestions about how to get pyuno working?
In [1]: import uno
In [2]: local = uno.getComponentContext()
In [3]: resolver = local.ServiceManager.createInstanceWithContext("com.sun.star.bridge.UnoUrlResolver", local)
OOP gone wrong, imho. i know its OT, but i tried getting uno to work before, and gave up. this is pure Steve Yegge Prose (read up on http://steve-yegge.blogspot.com/2006/03/execution-in-kingdom-of-nouns.html).
when you translate those lines into a more speakable form, they come out roughly as:
"Let 'local' be the result of calling method 'get component context' of 'uno'. Let the 'service manager' be the attribute 'service manager' of 'local'. Let 'resolver' be the result of calling the 'service manager' method 'create instance with context', using arguments 'com sun star bridge uno url resolver' and 'local'."
omg. no surprise something is wrong with a program that is so atrociously over-specific, convoluted, and self-referential while being not self-aware... you call a sub-method of 'local' and that sub-method has to be told what 'local' means? say what? hats off to the fearless developers who can cut through this. happy debugging.
ADDED:
thx for comment and points.
the pyuno problem i cannot do anything about in fact, but i encourage to persue a patient trytrytry approach with a clear deadline.
i also suggest to file an outright B.U.G. with the pyuno people (if they are in fact active—i got the impression that this was a rather silent project) because of the nonsense error message: the method in question appears to request one string argument, and it gets one, and it complains it did. this is so not helpful to the degree it becomes reasonable to declare a code fault.
in this kind of situation i often look into the sources. but you already did that, right?
i hate people to ask back ‘why do you want to do this?’ when i ask for help. however, sometimes someone (maybe you) does come up with another workable path in the process, one that does not include a solution to the particular problem, but helps to solve the superordinate one. so, if i may ask: what is the big picture?