My codes try to collect tweets about "cars" on 2014-10-01. In attempt to handle the rate limit or any other Twitter-related errors (ie. over capacity), I implement code at the end telling the program to stop and wait for 20min whenever a TweepError has occur.
Unfortunately, it doesn't work as the script crashes and I can still see the rate limit error message. Please advice, thanks.
import tweepy
import time
import csv
ckey = "xxx"
csecret = "xxx"
atoken = "xxx-xxx"
asecret = "xxx"
OAUTH_KEYS = {'consumer_key':ckey, 'consumer_secret':csecret,
'access_token_key':atoken, 'access_token_secret':asecret}
auth = tweepy.OAuthHandler(OAUTH_KEYS['consumer_key'], OAUTH_KEYS['consumer_secret'])
api = tweepy.API(auth)
startSince = '2014-10-01'
endUntil = '2014-10-02'
searchTerms = 'cars'
for tweet in tweepy.Cursor(api.search, q=searchTerms,
since=startSince, until=endUntil).items(999999999):
try:
print "Name:", tweet.author.name.encode('utf8')
print "Screen-name:", tweet.author.screen_name.encode('utf8')
print "Tweet created:", tweet.created_at
except tweepy.error.TweepError:
time.sleep(60*20)
continue
except tweepy.TweepError:
time.sleep(60*20)
continue
except TweepError:
time.sleep(60*20)
continue
except IOError:
time.sleep(60*5)
continue
except StopIteration:
break
Your issue is that your try-except statement happens independent of your call to the Twitter API. The tweepy.Cursor is what triggers the rate-limit error. Try including this line:
for tweet in tweepy.Cursor(api.search, q=searchTerms,
since=startSince, until=endUntil).items(999999999):
within your try and see if the TweepError is caught (it should be). You may need a small modification to get the cursor to continue from the proper location but it should be trivial.
Related
I aim to make my jarvis, which listens all the time and activates when I say hello. I learned that Google cloud Speech to Text API doesn't listen for more than 60 seconds, but then I found this not-so-famous link, where this listens for infinite duration. The author of github script says that, he has played a trick that script refreshes after 60 seconds, so that program doesn't crash.
https://github.com/GoogleCloudPlatform/python-docs-samples/blob/master/speech/cloud-client/transcribe_streaming_indefinite.py
Following is the modified version, since I wanted it to answer of my questions, followed by "hello", and not answer me all the time. Now if I ask my Jarvis, a question, which while answering takes more than 60 seconds and it doesn't get the time to refresh, the program crashes down :(
#!/usr/bin/env python
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Google Cloud Speech API sample application using the streaming API.
NOTE: This module requires the additional dependency `pyaudio`. To install
using pip:
pip install pyaudio
Example usage:
python transcribe_streaming_indefinite.py
"""
# [START speech_transcribe_infinite_streaming]
from __future__ import division
import time
import re
import sys
import os
from google.cloud import speech
from pygame.mixer import *
from googletrans import Translator
# running=True
translator = Translator()
init()
import pyaudio
from six.moves import queue
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "C:\\Users\\mnauf\\Desktop\\rehandevice\\key.json"
from commands2 import commander
cmd=commander()
# Audio recording parameters
STREAMING_LIMIT = 55000
SAMPLE_RATE = 16000
CHUNK_SIZE = int(SAMPLE_RATE / 10) # 100ms
def get_current_time():
return int(round(time.time() * 1000))
def duration_to_secs(duration):
return duration.seconds + (duration.nanos / float(1e9))
class ResumableMicrophoneStream:
"""Opens a recording stream as a generator yielding the audio chunks."""
def __init__(self, rate, chunk_size):
self._rate = rate
self._chunk_size = chunk_size
self._num_channels = 1
self._max_replay_secs = 5
# Create a thread-safe buffer of audio data
self._buff = queue.Queue()
self.closed = True
self.start_time = get_current_time()
# 2 bytes in 16 bit samples
self._bytes_per_sample = 2 * self._num_channels
self._bytes_per_second = self._rate * self._bytes_per_sample
self._bytes_per_chunk = (self._chunk_size * self._bytes_per_sample)
self._chunks_per_second = (
self._bytes_per_second // self._bytes_per_chunk)
def __enter__(self):
self.closed = False
self._audio_interface = pyaudio.PyAudio()
self._audio_stream = self._audio_interface.open(
format=pyaudio.paInt16,
channels=self._num_channels,
rate=self._rate,
input=True,
frames_per_buffer=self._chunk_size,
# Run the audio stream asynchronously to fill the buffer object.
# This is necessary so that the input device's buffer doesn't
# overflow while the calling thread makes network requests, etc.
stream_callback=self._fill_buffer,
)
return self
def __exit__(self, type, value, traceback):
self._audio_stream.stop_stream()
self._audio_stream.close()
self.closed = True
# Signal the generator to terminate so that the client's
# streaming_recognize method will not block the process termination.
self._buff.put(None)
self._audio_interface.terminate()
def _fill_buffer(self, in_data, *args, **kwargs):
"""Continuously collect data from the audio stream, into the buffer."""
self._buff.put(in_data)
return None, pyaudio.paContinue
def generator(self):
while not self.closed:
if get_current_time() - self.start_time > STREAMING_LIMIT:
self.start_time = get_current_time()
break
# Use a blocking get() to ensure there's at least one chunk of
# data, and stop iteration if the chunk is None, indicating the
# end of the audio stream.
chunk = self._buff.get()
if chunk is None:
return
data = [chunk]
# Now consume whatever other data's still buffered.
while True:
try:
chunk = self._buff.get(block=False)
if chunk is None:
return
data.append(chunk)
except queue.Empty:
break
yield b''.join(data)
def search(responses, stream, code):
responses = (r for r in responses if (
r.results and r.results[0].alternatives))
num_chars_printed = 0
for response in responses:
if not response.results:
continue
# The `results` list is consecutive. For streaming, we only care about
# the first result being considered, since once it's `is_final`, it
# moves on to considering the next utterance.
result = response.results[0]
if not result.alternatives:
continue
# Display the transcription of the top alternative.
top_alternative = result.alternatives[0]
transcript = top_alternative.transcript
# music.load("/home/pi/Desktop/rehandevice/end.mp3")
# music.play()
# Display interim results, but with a carriage return at the end of the
# line, so subsequent lines will overwrite them.
# If the previous result was longer than this one, we need to print
# some extra spaces to overwrite the previous result
overwrite_chars = ' ' * (num_chars_printed - len(transcript))
if not result.is_final:
sys.stdout.write(transcript + overwrite_chars + '\r')
sys.stdout.flush()
num_chars_printed = len(transcript)
else:
#print(transcript + overwrite_chars)
# Exit recognition if any of the transcribed phrases could be
# one of our keywords.
if code=='ur-PK':
transcript=translator.translate(transcript).text
print("Your command: ", transcript + overwrite_chars)
if "hindi assistant" in (transcript+overwrite_chars).lower():
cmd.respond("Alright. Talk to me in urdu",code=code)
main('ur-PK')
elif "english assistant" in (transcript+overwrite_chars).lower():
cmd.respond("Alright. Talk to me in English",code=code)
main('en-US')
cmd.discover(text=transcript + overwrite_chars,code=code)
for i in range(10):
print("Hello world")
break
num_chars_printed = 0
def listen_print_loop(responses, stream, code):
"""Iterates through server responses and prints them.
The responses passed is a generator that will block until a response
is provided by the server.
Each response may contain multiple results, and each result may contain
multiple alternatives; for details, see https://cloud.google.com/speech-to-text/docs/reference/rpc/google.cloud.speech.v1#streamingrecognizeresponse. Here we
print only the transcription for the top alternative of the top result.
In this case, responses are provided for interim results as well. If the
response is an interim one, print a line feed at the end of it, to allow
the next result to overwrite it, until the response is a final one. For the
final one, print a newline to preserve the finalized transcription.
"""
responses = (r for r in responses if (
r.results and r.results[0].alternatives))
music.load(r"C:\\Users\\mnauf\\Desktop\\rehandevice\\coins.mp3")
num_chars_printed = 0
for response in responses:
if not response.results:
continue
# The `results` list is consecutive. For streaming, we only care about
# the first result being considered, since once it's `is_final`, it
# moves on to considering the next utterance.
result = response.results[0]
if not result.alternatives:
continue
# Display the transcription of the top alternative.
top_alternative = result.alternatives[0]
transcript = top_alternative.transcript
# Display interim results, but with a carriage return at the end of the
# line, so subsequent lines will overwrite them.
#
# If the previous result was longer than this one, we need to print
# some extra spaces to overwrite the previous result
overwrite_chars = ' ' * (num_chars_printed - len(transcript))
if not result.is_final:
sys.stdout.write(transcript + overwrite_chars + '\r')
sys.stdout.flush()
num_chars_printed = len(transcript)
else:
print("Listen print loop", transcript + overwrite_chars)
# Exit recognition if any of the transcribed phrases could be
# one of our keywords.
if re.search(r'\b(hello)\b', transcript.lower(), re.I):
#print("Give me order")
music.play()
search(responses, stream,code)
break
elif re.search(r'\b(ہیلو)\b', transcript, re.I):
music.play()
search(responses, stream,code)
break
num_chars_printed = 0
def main(code):
cmd.respond("I am Rayhaan dot A Eye. How can I help you?",code=code)
client = speech.SpeechClient()
config = speech.types.RecognitionConfig(
encoding=speech.enums.RecognitionConfig.AudioEncoding.LINEAR16,
sample_rate_hertz=SAMPLE_RATE,
language_code='en-US',
max_alternatives=1,
enable_word_time_offsets=True)
streaming_config = speech.types.StreamingRecognitionConfig(
config=config,
interim_results=True)
mic_manager = ResumableMicrophoneStream(SAMPLE_RATE, CHUNK_SIZE)
print('Say "Quit" or "Exit" to terminate the program.')
with mic_manager as stream:
while not stream.closed:
audio_generator = stream.generator()
requests = (speech.types.StreamingRecognizeRequest(
audio_content=content)
for content in audio_generator)
responses = client.streaming_recognize(streaming_config,
requests)
# Now, put the transcription responses to use.
try:
listen_print_loop(responses, stream, code)
except:
listen
if __name__ == '__main__':
main('en-US')
# [END speech_transcribe_infinite_streaming]
You can call your functions after recognition in different thread. Example:
new_thread = Thread(target=music.play)
new_thread.daemon = True # Not always needed, read more about daemon property
new_thread.start()
Or if you want just to prevent exception - you can always use try/except. Example:
with mic_manager as stream:
while not stream.closed:
try:
audio_generator = stream.generator()
requests = (speech.types.StreamingRecognizeRequest(
audio_content=content)
for content in audio_generator)
responses = client.streaming_recognize(streaming_config,
requests)
# Now, put the transcription responses to use.
listen_print_loop(responses, stream, code)
except BaseException as e:
print("Exception occurred - {}".format(str(e)))
I want to use multiprocessing for a project of mine. I have a code that already works fine an i want to adapt it. I realised that when there is a list in the workers method i get the following error; local variable 'RouteInfo' referenced before assignment. Any suggestions?
if __name__ == '__main__':
time_start = time.clock()
AREA_ID, PARENT_ID, routes_data, routingPlanID, StationName = getRouteDetails(StationName, PARENT_ID, AREA_ID)
copyDailyABPDetail(PARENT_ID, AREA_ID)
AREA_ID=AREA_ID.decode('utf-8')
StationsList = [unicode(item[0]) for item in routes_data]
func = partial(testMethod, AREA_ID, PARENT_ID, routingPlanID, StationNameDic)
# declare number of cores to use
cpuNum = multiprocessing.cpu_count()
# Create the pool object
pool = multiprocessing.Pool(processes=cpuNum)
# Fire off list to worker function.
results=pool.map(func,StationsList)
pool.close()
pool.join()
print results
time_elapsed = (time.clock() - time_start)
def testMethod(AREA_ID, PARENT_ID, routingPlanID, StationNameDic, StationName):
try:
print "Processing: ",StationName
RouteInfo = ["ALL", "ALL", "PRESERVE_BOTH", ["OnewaySelective","Footway","Steps","Path","Tolls"], "OR", "Α,Β,Γ", "NGIS", "RA"]
print RouteInfo
except Exception as e:
# If an error occurred, print line number and error message
import traceback, sys
tb = sys.exc_info()[2]
print "An error occured on line %i" % tb.tb_lineno
print str(e)
return StationName, RouteInfo
Solved there was an error in my code (variable StatioName had an utf-8 issue), so the variable RouteInfo was never been assigned.
I just wrote a simple webscraping script to give me all the episode links on a particular site's page. The script was working fine, but, now it's broke. I didn't change anything.
Try this URL (For scraping ) :- http://www.crunchyroll.com/tabi-machi-late-show
Now, the script works mid-way and gives me an error stating, ' Element not found in the cache - perhaps the page has changed since it was looked up'
I looked it up on internet and people said about using the 'implicit wait' command at certain places. I did that, still no luck.
UPDATE : I tried this script in a demote desktop and it's working there without any problems.
Here's my script :-
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import os
import time
from subprocess import Popen
#------------------------------------------------
try:
Link = raw_input("Please enter your Link : ")
if not Link:
raise ValueError('Please Enter A Link To The Anime Page. This Application Will now Exit in 5 Seconds.')
except ValueError as e:
print(e)
time.sleep(5)
exit()
print 'Analyzing the Page. Hold on a minute.'
driver = webdriver.Firefox()
driver.get(Link)
assert "Crunchyroll" in driver.title
driver.implicitly_wait(5) # <-- I tried removing this lines as well. No luck.
elem = driver.find_elements_by_xpath("//*[#href]")
driver.implicitly_wait(10) # <-- I tried removing this lines as well. No luck.
text_file = open("BatchLink.txt", "w")
print 'Fetching The Links, please wait.'
for elem in elem:
x = elem.get_attribute("href")
#print x
text_file.write(x+'\n')
print 'Links have been fetched. Just doing the final cleaning now.'
text_file.close()
CleanFile = open("queue.txt", "w")
with open('BatchLink.txt') as f:
mylist = f.read().splitlines()
#print mylist
with open('BatchLink.txt', 'r') as inF:
for line in inF:
if 'episode' in line:
CleanFile.write(line)
print 'Please Check the file named queue.txt'
CleanFile.close()
os.remove('BatchLink.txt')
driver.close()
Here's a screenshot of the error (might be of some help) :
http://i.imgur.com/SaANlsg.png
Ok i didn't work with python but know the problem
you have variable that you init -> elem = driver.find_elements_by_xpath("//*[#href]")
after that you doing some things with it in loop
before you finishing the loop try to init this variable again
elem = driver.find_elements_by_xpath("//*[#href]")
The thing is that the DOM is changes and you loosing the element collection.
I wrote a script to upload a video to YouTube using YouTube Data API v3 in the python with help of example given in Example code.
And I wrote another script to add uploaded video to playlist using same YouTube Data API v3 you can be seen here
After that I wrote a single script to upload video and add that video to playlist. In that I took care of authentication and scops still I am getting permission error. here is my new script
#!/usr/bin/python
import httplib
import httplib2
import os
import random
import sys
import time
from apiclient.discovery import build
from apiclient.errors import HttpError
from apiclient.http import MediaFileUpload
from oauth2client.file import Storage
from oauth2client.client import flow_from_clientsecrets
from oauth2client.tools import run
# Explicitly tell the underlying HTTP transport library not to retry, since
# we are handling retry logic ourselves.
httplib2.RETRIES = 1
# Maximum number of times to retry before giving up.
MAX_RETRIES = 10
# Always retry when these exceptions are raised.
RETRIABLE_EXCEPTIONS = (httplib2.HttpLib2Error, IOError, httplib.NotConnected,
httplib.IncompleteRead, httplib.ImproperConnectionState,
httplib.CannotSendRequest, httplib.CannotSendHeader,
httplib.ResponseNotReady, httplib.BadStatusLine)
# Always retry when an apiclient.errors.HttpError with one of these status
# codes is raised.
RETRIABLE_STATUS_CODES = [500, 502, 503, 504]
CLIENT_SECRETS_FILE = "client_secrets.json"
# A limited OAuth 2 access scope that allows for uploading files, but not other
# types of account access.
YOUTUBE_UPLOAD_SCOPE = "https://www.googleapis.com/auth/youtube.upload"
YOUTUBE_API_SERVICE_NAME = "youtube"
YOUTUBE_API_VERSION = "v3"
# Helpful message to display if the CLIENT_SECRETS_FILE is missing.
MISSING_CLIENT_SECRETS_MESSAGE = """
WARNING: Please configure OAuth 2.0
To make this sample run you will need to populate the client_secrets.json file
found at:
%s
with information from the APIs Console
https://code.google.com/apis/console#access
For more information about the client_secrets.json file format, please visit:
https://developers.google.com/api-client-library/python/guide/aaa_client_secrets
""" % os.path.abspath(os.path.join(os.path.dirname(__file__),
CLIENT_SECRETS_FILE))
def get_authenticated_service():
flow = flow_from_clientsecrets(CLIENT_SECRETS_FILE, scope=YOUTUBE_UPLOAD_SCOPE,
message=MISSING_CLIENT_SECRETS_MESSAGE)
storage = Storage("%s-oauth2.json" % sys.argv[0])
credentials = storage.get()
if credentials is None or credentials.invalid:
credentials = run(flow, storage)
return build(YOUTUBE_API_SERVICE_NAME, YOUTUBE_API_VERSION,
http=credentials.authorize(httplib2.Http()))
def initialize_upload(title,description,keywords,privacyStatus,file):
youtube = get_authenticated_service()
tags = None
if keywords:
tags = keywords.split(",")
insert_request = youtube.videos().insert(
part="snippet,status",
body=dict(
snippet=dict(
title=title,
description=description,
tags=tags,
categoryId='26'
),
status=dict(
privacyStatus=privacyStatus
)
),
# chunksize=-1 means that the entire file will be uploaded in a single
# HTTP request. (If the upload fails, it will still be retried where it
# left off.) This is usually a best practice, but if you're using Python
# older than 2.6 or if you're running on App Engine, you should set the
# chunksize to something like 1024 * 1024 (1 megabyte).
media_body=MediaFileUpload(file, chunksize=-1, resumable=True)
)
vid=resumable_upload(insert_request)
#Here I added lines to add video to playlist
#add_video_to_playlist(youtube,vid,"PL2JW1S4IMwYubm06iDKfDsmWVB-J8funQ")
#youtube = get_authenticated_service()
add_video_request=youtube.playlistItems().insert(
part="snippet",
body={
'snippet': {
'playlistId': "PL2JW1S4IMwYubm06iDKfDsmWVB-J8funQ",
'resourceId': {
'kind': 'youtube#video',
'videoId': vid
}
#'position': 0
}
}
).execute()
def resumable_upload(insert_request):
response = None
error = None
retry = 0
vid=None
while response is None:
try:
print "Uploading file..."
status, response = insert_request.next_chunk()
if 'id' in response:
print "'%s' (video id: %s) was successfully uploaded." % (
title, response['id'])
vid=response['id']
else:
exit("The upload failed with an unexpected response: %s" % response)
except HttpError, e:
if e.resp.status in RETRIABLE_STATUS_CODES:
error = "A retriable HTTP error %d occurred:\n%s" % (e.resp.status,
e.content)
else:
raise
except RETRIABLE_EXCEPTIONS, e:
error = "A retriable error occurred: %s" % e
if error is not None:
print error
retry += 1
if retry > MAX_RETRIES:
exit("No longer attempting to retry.")
max_sleep = 2 ** retry
sleep_seconds = random.random() * max_sleep
print "Sleeping %f seconds and then retrying..." % sleep_seconds
time.sleep(sleep_seconds)
return vid
if __name__ == '__main__':
title="sample title"
description="sample description"
keywords="keyword1,keyword2,keyword3"
privacyStatus="public"
file="myfile.mp4"
vid=initialize_upload(title,description,keywords,privacyStatus,file)
print 'video ID is :',vid
I am not able to figure out what is wrong. I am getting permission error. both script works fine independently.
could anyone help me figure out where I am wrong or how to achieve uploading video and adding that too playlist.
I got the answer actually in both the independent script scope is different.
scope for uploading is "https://www.googleapis.com/auth/youtube.upload"
scope for adding to playlist is "https://www.googleapis.com/auth/youtube"
as scope is different so I had to handle authentication separately.
Ok, I've tried to resolve this with a couple of different libraries. I'm working on a script to look at thousands of sites and kick out specific items on the pages. I need to be able to reset the connection so that the script will continue without losing any data. I've tried catching the error and waiting but that doesn't seem to fix it as it eventually causes the script to error completely out. I get the error on the below snippet of code in my status check module.
def status(url): #checks the response code
try:
req=urllib2.urlopen(url)
response=req.getcode()
return response
except urllib2.HTTPError, e:
return e.code
print e.code
except urllib2.URLError, e:
print e.args
return e.args
But before trying this I used the below as instead of urrlib2
parsedurl = urlparse(url)
conn = httplib.HTTPConnection(parsedurl.netloc)
conn.request('HEAD',parsedurl.path)
response = conn.getresponse()
return response.status