Develop Reference

GRPCIO shows error while executing the pushtotalk

i am connecting the Raspberry Pi with Google Ai Assistant and it gives me the following error.
The command, which i run:
googlesamples-assistant-pushtotalk
File "/home/pi/env/bin/googlesamples-assistant-pushtotalk", line 6, in <module>
from googlesamples.assistant.grpc.pushtotalk import main
File "/home/pi/env/lib/python3.9/site-packages/googlesamples/assistant/grpc/pushtotalk.py", line 30, in <module>
from tenacity import retry, stop_after_attempt, retry_if_exception
File "/home/pi/env/lib/python3.9/site-packages/tenacity/__init__.py", line 292
from tenacity.async import AsyncRetrying
^
SyntaxError: invalid syntax```
The file:``` # Copyright (C) 2017 Google Inc.
#
# 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.
"""Sample that implements gRPC client for Google Assistant API."""
#pip install grpc
import grpc
import json
import logging
import os.path
import click
#import grpc
import google.auth.transport.grpc
import google.auth.transport.requests
import google.oauth2.credentials
from google.assistant.embedded.v1alpha1 import embedded_assistant_pb2
from google.rpc import code_pb2
from tenacity import retry, stop_after_attempt, retry_if_exception
try:
from . import (
assistant_helpers,
audio_helpers
)
except SystemError:
import assistant_helpers
import audio_helpers
ASSISTANT_API_ENDPOINT = 'embeddedassistant.googleapis.com'
END_OF_UTTERANCE = embedded_assistant_pb2.ConverseResponse.END_OF_UTTERANCE
DIALOG_FOLLOW_ON = embedded_assistant_pb2.ConverseResult.DIALOG_FOLLOW_ON
CLOSE_MICROPHONE = embedded_assistant_pb2.ConverseResult.CLOSE_MICROPHONE
DEFAULT_GRPC_DEADLINE = 60 * 3 + 5
class SampleAssistant(object):
"""Sample Assistant that supports follow-on conversations.
Args:
conversation_stream(ConversationStream): audio stream
for recording query and playing back assistant answer.
channel: authorized gRPC channel for connection to the
Google Assistant API.
deadline_sec: gRPC deadline in seconds for Google Assistant API call.
"""
def __init__(self, conversation_stream, channel, deadline_sec):
self.conversation_stream = conversation_stream
# Opaque blob provided in ConverseResponse that,
# when provided in a follow-up ConverseRequest,
# gives the Assistant a context marker within the current state
# of the multi-Converse()-RPC "conversation".
# This value, along with MicrophoneMode, supports a more natural
# "conversation" with the Assistant.
self.conversation_state = None
# Create Google Assistant API gRPC client.
self.assistant = embedded_assistant_pb2.EmbeddedAssistantStub(channel)
self.deadline = deadline_sec
def __enter__(self):
return self
def __exit__(self, etype, e, traceback):
if e:
return False
self.conversation_stream.close()
def is_grpc_error_unavailable(e):
is_grpc_error = isinstance(e, grpc.RpcError)
if is_grpc_error and (e.code() == grpc.StatusCode.UNAVAILABLE):
logging.error('grpc unavailable error: %s', e)
return True
return False
#retry(reraise=True, stop=stop_after_attempt(3),
retry=retry_if_exception(is_grpc_error_unavailable))
def converse(self):
"""Send a voice request to the Assistant and playback the response.
Returns: True if conversation should continue.
"""
continue_conversation = False
self.conversation_stream.start_recording()
logging.info('Recording audio request.')
def iter_converse_requests():
for c in self.gen_converse_requests():
assistant_helpers.log_converse_request_without_audio(c)
yield c
self.conversation_stream.start_playback()
# This generator yields ConverseResponse proto messages
# received from the gRPC Google Assistant API.
for resp in self.assistant.Converse(iter_converse_requests(),
self.deadline):
assistant_helpers.log_converse_response_without_audio(resp)
if resp.error.code != code_pb2.OK:
logging.error('server error: %s', resp.error.message)
break
if resp.event_type == END_OF_UTTERANCE:
logging.info('End of audio request detected')
self.conversation_stream.stop_recording()
if resp.result.spoken_request_text:
logging.info('Transcript of user request: "%s".',
resp.result.spoken_request_text)
logging.info('Playing assistant response.')
if len(resp.audio_out.audio_data) > 0:
self.conversation_stream.write(resp.audio_out.audio_data)
if resp.result.spoken_response_text:
logging.info(
'Transcript of TTS response '
'(only populated from IFTTT): "%s".',
resp.result.spoken_response_text)
if resp.result.conversation_state:
self.conversation_state = resp.result.conversation_state
if resp.result.volume_percentage != 0:
self.conversation_stream.volume_percentage = (
resp.result.volume_percentage
)
if resp.result.microphone_mode == DIALOG_FOLLOW_ON:
continue_conversation = True
logging.info('Expecting follow-on query from user.')
elif resp.result.microphone_mode == CLOSE_MICROPHONE:
continue_conversation = False
logging.info('Finished playing assistant response.')
self.conversation_stream.stop_playback()
return continue_conversation
def gen_converse_requests(self):
"""Yields: ConverseRequest messages to send to the API."""
converse_state = None
if self.conversation_state:
logging.debug('Sending converse_state: %s',
self.conversation_state)
converse_state = embedded_assistant_pb2.ConverseState(
conversation_state=self.conversation_state,
)
config = embedded_assistant_pb2.ConverseConfig(
audio_in_config=embedded_assistant_pb2.AudioInConfig(
encoding='LINEAR16',
sample_rate_hertz=self.conversation_stream.sample_rate,
),
audio_out_config=embedded_assistant_pb2.AudioOutConfig(
encoding='LINEAR16',
sample_rate_hertz=self.conversation_stream.sample_rate,
volume_percentage=self.conversation_stream.volume_percentage,
),
converse_state=converse_state
)
# The first ConverseRequest must contain the ConverseConfig
# and no audio data.
yield embedded_assistant_pb2.ConverseRequest(config=config)
for data in self.conversation_stream:
# Subsequent requests need audio data, but not config.
yield embedded_assistant_pb2.ConverseRequest(audio_in=data)
#click.command()
#click.option('--api-endpoint', default=ASSISTANT_API_ENDPOINT,
metavar='<api endpoint>', show_default=True,
help='Address of Google Assistant API service.')
#click.option('--credentials',
metavar='<credentials>', show_default=True,
default=os.path.join(click.get_app_dir('google-oauthlib-tool'),
'credentials.json'),
help='Path to read OAuth2 credentials.')
#click.option('--verbose', '-v', is_flag=True, default=False,
help='Verbose logging.')
#click.option('--input-audio-file', '-i',
metavar='<input file>',
help='Path to input audio file. '
'If missing, uses audio capture')
#click.option('--output-audio-file', '-o',
metavar='<output file>',
help='Path to output audio file. '
'If missing, uses audio playback')
#click.option('--audio-sample-rate',
default=audio_helpers.DEFAULT_AUDIO_SAMPLE_RATE,
metavar='<audio sample rate>', show_default=True,
help='Audio sample rate in hertz.')
#click.option('--audio-sample-width',
default=audio_helpers.DEFAULT_AUDIO_SAMPLE_WIDTH,
metavar='<audio sample width>', show_default=True,
help='Audio sample width in bytes.')
#click.option('--audio-iter-size',
default=audio_helpers.DEFAULT_AUDIO_ITER_SIZE,
metavar='<audio iter size>', show_default=True,
help='Size of each read during audio stream iteration in bytes.')
#click.option('--audio-block-size',
default=audio_helpers.DEFAULT_AUDIO_DEVICE_BLOCK_SIZE,
metavar='<audio block size>', show_default=True,
help=('Block size in bytes for each audio device '
'read and write operation..'))
#click.option('--audio-flush-size',
default=audio_helpers.DEFAULT_AUDIO_DEVICE_FLUSH_SIZE,
metavar='<audio flush size>', show_default=True,
help=('Size of silence data in bytes written '
'during flush operation'))
#click.option('--grpc-deadline', default=DEFAULT_GRPC_DEADLINE,
metavar='<grpc deadline>', show_default=True,
help='gRPC deadline in seconds')
#click.option('--once', default=False, is_flag=True,
help='Force termination after a single conversation.')
def main(api_endpoint, credentials, verbose,
input_audio_file, output_audio_file,
audio_sample_rate, audio_sample_width,
audio_iter_size, audio_block_size, audio_flush_size,
grpc_deadline, once, *args, **kwargs):
"""Samples for the Google Assistant API.
Examples:
Run the sample with microphone input and speaker output:
$ python -m googlesamples.assistant
Run the sample with file input and speaker output:
$ python -m googlesamples.assistant -i <input file>
Run the sample with file input and output:
$ python -m googlesamples.assistant -i <input file> -o <output file>
"""
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error('Error loading credentials: %s', e)
logging.error('Run google-oauthlib-tool to initialize '
'new OAuth 2.0 credentials.')
return
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
logging.info('Connecting to %s', api_endpoint)
# Configure audio source and sink.
audio_device = None
if input_audio_file:
audio_source = audio_helpers.WaveSource(
open(input_audio_file, 'rb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width
)
else:
audio_source = audio_device = (
audio_device or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size
)
)
if output_audio_file:
audio_sink = audio_helpers.WaveSink(
open(output_audio_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width
)
else:
audio_sink = audio_device = (
audio_device or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size
)
)
# Create conversation stream with the given audio source and sink.
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
with SampleAssistant(conversation_stream,
grpc_channel, grpc_deadline) as assistant:
# If file arguments are supplied:
# exit after the first turn of the conversation.
if input_audio_file or output_audio_file:
assistant.converse()
return
# If no file arguments supplied:
# keep recording voice requests using the microphone
# and playing back assistant response using the speaker.
# When the once flag is set, don't wait for a trigger. Otherwise, wait.
wait_for_user_trigger = not once
while True:
if wait_for_user_trigger:
click.pause(info='Press Enter to send a new request...')
continue_conversation = assistant.converse()
# wait for user trigger if there is no follow-up turn in
# the conversation.
wait_for_user_trigger = not continue_conversation
# If we only want one conversation, break.
if once and (not continue_conversation):
break
if __name__ == '__main__':
thanks for your kind support.

Youtube API commentThreads.update return 400 error when replying to topLevelComment

Reporting a possible bug on Youtube Api commentThreads.update
Name of API affected: CommentThreads: update
Issue summary: CommentThreads: update When calling this api to update the topLevelComment returned by CommentThreads.list, I got a 400 error. I was using this API in an internal tool to allow me respond to comments. It was working fine for the last months... and in the last days (~2016-11-07) with no changes on any code on my side, the API started to return a 400 error. I have all my internal comment systems halted right now as I could not figure out how to fix this. Every thing I tried and tested brings me to the 400 error and the message below.
"While this can be a transient error, it usually indicates that the requests input is invalid."
Even using the API console, I got the same errror!
My bet? This is a transient error that I hope Google can fix.
Steps to reproduce issue:
Retrieve "heldForReview" threads using CommentThreads.list
Try to update the returned topLevelComment changing ["topLevelComment"]["snippet"]["textOriginal"] = "some text". Optionally, change the "moderationStatus" to "published". The error is the same.
This behaviour can be easily spotted using the Python API samples, specifically the file comment_threads.py from https://github.com/youtube/api-samples/blob/master/python/comment_threads.py
Expected output: The top level comment from Thread should become visible (after setting the moderationStatus to published) and have the "some text" as the first child comment as its answer.
Actual results:
{
"error": {
"errors": [
{
"domain": "youtube.commentThread",
"reason": "processingFailure",
"message": "The API server failed to successfully process the request. While this can be a transient error, it usually indicates that the requests input is invalid. Check the structure of the \u003ccode\u003ecommentThread\u003c/code\u003e resource in the request body to ensure that it is valid.",
"locationType": "other",
"location": "body"
}
],
"code": 400,
"message": "The API server failed to successfully process the request. While this can be a transient error, it usually indicates that the requests input is invalid. Check the structure of the \u003ccode\u003ecommentThread\u003c/code\u003e resource in the request body to ensure that it is valid."
}
}
Notes: I am providing a sample code below.
#!/usr/bin/python
# Usage example:
# python comment_threads.py --channelid='<channel_id>' --videoid='<video_id>' --text='<text>'
import httplib2
import os
import sys
from apiclient.discovery import build_from_document
from apiclient.errors import HttpError
from oauth2client.client import flow_from_clientsecrets
from oauth2client.file import Storage
from oauth2client.tools import argparser, run_flow
# The CLIENT_SECRETS_FILE variable specifies the name of a file that contains
# the OAuth 2.0 information for this application, including its client_id and
# client_secret. You can acquire an OAuth 2.0 client ID and client secret from
# the {{ Google Cloud Console }} at
# {{ https://cloud.google.com/console }}.
# Please ensure that you have enabled the YouTube Data API for your project.
# For more information about using OAuth2 to access the YouTube Data API, see:
# https://developers.google.com/youtube/v3/guides/authentication
# For more information about the client_secrets.json file format, see:
# https://developers.google.com/api-client-library/python/guide/aaa_client_secrets
CLIENT_SECRETS_FILE = "client_secrets.json"
# This OAuth 2.0 access scope allows for full read/write access to the
# authenticated user's account and requires requests to use an SSL connection.
YOUTUBE_READ_WRITE_SSL_SCOPE = "https://www.googleapis.com/auth/youtube.force-ssl"
YOUTUBE_API_SERVICE_NAME = "youtube"
YOUTUBE_API_VERSION = "v3"
# This variable defines a 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://console.developers.google.com
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))
# Authorize the request and store authorization credentials.
def get_authenticated_service(args):
flow = flow_from_clientsecrets(CLIENT_SECRETS_FILE, scope=YOUTUBE_READ_WRITE_SSL_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(flow, storage, args)
# Trusted testers can download this discovery document from the developers page
# and it should be in the same directory with the code.
with open("youtube-v3-discoverydocument.json", "r") as f:
doc = f.read()
return build_from_document(doc, http=credentials.authorize(httplib2.Http()))
# Call the API's commentThreads.list method to list the existing comments.
def get_comments(youtube, video_id, channel_id):
results = youtube.commentThreads().list(
part="snippet",
videoId=video_id,
channelId=channel_id,
# ONLY FILTER COMMENTS THAT ARE HELD FOR REVIEW
# THOSE COMMENTS ONLY HAVE ONE TOP LEVEL COMMENT
moderationStatus="heldForReview",
textFormat="plainText").execute()
for item in results["items"]:
comment = item["snippet"]["topLevelComment"]
author = comment["snippet"]["authorDisplayName"]
text = comment["snippet"]["textDisplay"]
print "Comment by %s: %s" % (author, text)
return results["items"]
# Call the API's commentThreads.insert method to insert a comment.
def insert_comment(youtube, channel_id, video_id, text):
insert_result = youtube.commentThreads().insert(
part="snippet",
body=dict(
snippet=dict(
channelId=channel_id,
videoId=video_id,
topLevelComment=dict(
snippet=dict(
textOriginal=text
)
)
)
)
).execute()
comment = insert_result["snippet"]["topLevelComment"]
author = comment["snippet"]["authorDisplayName"]
text = comment["snippet"]["textDisplay"]
print "Inserted comment for %s: %s" % (author, text)
# Call the API's commentThreads.update method to update an existing comment.
def update_comment(youtube, comment):
comment["snippet"]["topLevelComment"]["snippet"]["textOriginal"] = 'updated'
update_result = youtube.commentThreads().update(
part="snippet",
body=comment
).execute()
comment = update_result["snippet"]["topLevelComment"]
author = comment["snippet"]["authorDisplayName"]
text = comment["snippet"]["textDisplay"]
print "Updated comment for %s: %s" % (author, text)
if __name__ == "__main__":
# The "channelid" option specifies the YouTube channel ID that uniquely
# identifies the channel for which the comment will be inserted.
argparser.add_argument("--channelid",
help="Required; ID for channel for which the comment will be inserted.")
# The "videoid" option specifies the YouTube video ID that uniquely
# identifies the video for which the comment will be inserted.
argparser.add_argument("--videoid",
help="Required; ID for video for which the comment will be inserted.")
# The "text" option specifies the text that will be used as comment.
argparser.add_argument("--text", help="Required; text that will be used as comment.")
args = argparser.parse_args()
if not args.channelid:
exit("Please specify channelid using the --channelid= parameter.")
if not args.videoid:
exit("Please specify videoid using the --videoid= parameter.")
if not args.text:
exit("Please specify text using the --text= parameter.")
youtube = get_authenticated_service(args)
try:
# All the available methods are used in sequence just for the sake of an example.
# Insert channel comment by omitting videoId
# REMOVED AS IT IS NOT RELEVANT TO THE ERRRO REPORT. insert_comment(youtube, args.channelid, None, args.text)
# Insert video comment
# REMOVED AS IT IS NOT RELEVANT TO THE ERRRO REPORT. insert_comment(youtube, args.channelid, args.videoid, args.text)
video_comments = get_comments(youtube, args.videoid, None)
if video_comments:
update_comment(youtube, video_comments[0])
except HttpError, e:
print "An HTTP error %d occurred:\n%s" % (e.resp.status, e.content)
else:
print "Inserted, listed and updated top-level comments."
Of course, you will need your authorization files inside the same directory.

How to upload my video to other channels in youtube API

The question should be how to upload users video to their youtube channel?
for that i am using youtube api V3 and quick search from google i found below code
client_secrets.json
{
"web": {
"client_id": "[[INSERT CLIENT ID HERE]]",
"client_secret": "[[INSERT CLIENT SECRET HERE]]",
"redirect_uris": [],
"auth_uri": "https://accounts.google.com/o/oauth2/auth",
"token_uri": "https://accounts.google.com/o/oauth2/token"
}
}
from the terminal
python upload_video.py --file="/tmp/test_video_file.flv"
--title="Summer vacation in California"
--description="Had a great time surfing in Santa Cruz"
--keywords="surfing,Santa Cruz"
--category="22"
--privacyStatus="private"
How to upload my video to other channels in youtube API
The complete working sample for the upload_video.py script is listed below:
#!/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
from optparse import OptionParser
# 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, name of a file containing the OAuth 2.0 information for
# this application, including client_id and client_secret. You can acquire an
# ID/secret pair from the API Access tab on the Google APIs Console
# http://code.google.com/apis/console#access
# For more information about using OAuth2 to access Google APIs, please visit:
# https://developers.google.com/accounts/docs/OAuth2
# For more information about the client_secrets.json file format, please visit:
# https://developers.google.com/api-client-library/python/guide/aaa_client_secrets
# Please ensure that you have enabled the YouTube Data API for your project.
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(options):
youtube = get_authenticated_service()
tags = None
if options.keywords:
tags = options.keywords.split(",")
insert_request = youtube.videos().insert(
part="snippet,status",
body=dict(
snippet=dict(
title=options.title,
description=options.description,
tags=tags,
categoryId=options.category
),
status=dict(
privacyStatus=options.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(options.file, chunksize=-1, resumable=True)
)
resumable_upload(insert_request)
def resumable_upload(insert_request):
response = None
error = None
retry = 0
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." % (
options.title, 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)
if __name__ == '__main__':
parser = OptionParser()
parser.add_option("--file", dest="file", help="Video file to upload")
parser.add_option("--title", dest="title", help="Video title",
default="Test Title")
parser.add_option("--description", dest="description",
help="Video description",
default="Test Description")
parser.add_option("--category", dest="category",
help="Numeric video category. " +
"See https://developers.google.com/youtube/v3/docs/videoCategories/list",
default="22")
parser.add_option("--keywords", dest="keywords",
help="Video keywords, comma separated", default="")
parser.add_option("--privacyStatus", dest="privacyStatus",
help="Video privacy status: public, private or unlisted",
default="public")
(options, args) = parser.parse_args()
if options.file is None or not os.path.exists(options.file):
exit("Please specify a valid file using the --file= parameter.")
else:
initialize_upload(options)
Question 1 :
How to integrate with django view function ?
like when user access localhost:8000/upload page then followed by browse & submit button next google will ask for user credential after successful login video will uploaded to given username youtube channel. For this how to integrate above code to django view funtion
Question 2 :
How to change below command to view
python upload_video.py --file="/tmp/test_video_file.flv"
--title="Summer vacation in California"
--description="Had a great time surfing in Santa Cruz"
--keywords="surfing,Santa Cruz"
--category="22"
--privacyStatus="private"

No way to do it as you can't get the CLIENT SECRET FILE of a user until he gives you
client_id
client_secret
And here is what google says
Warning: Keep your client secret private. If someone obtains your client secret, they could use it to consume your quota, incur charges against your Google APIs Console project, and request access to user data.

You will almost certainly find it easier using a library like python-social-auth or django-allauth, personally I'd use python-social-auth but as you seem to be just starting out with Django use django-allauth.
https://github.com/pennersr/django-allauth
There is a good tutorial that will take you through it:
http://www.sarahhagstrom.com/2013/09/the-missing-django-allauth-tutorial/
As for turning that script into a view, just call it from inside any django view, you should check to see if the user is logged into Google, if they are then use the access token stored in the database. If not you should redirect them to the Google login url pattern provide by django-allauth.

Save your upload_video.py file into your video app.
In your view.py try following the post of the form:
form_upload = VideoForm(request.POST, request.FILES)
if form_upload.is_valid():
uploaded_video = form_upload.save(commit=True)
# send this file to youtube
credentials = get_authenticated_service(uploaded_video)
initialize_upload(credentials, uploaded_video)
In your videos models.py
file_on_server = models.FileField(max_length=100, null=True, blank=True)
auth_host_name = 'localhost'
noauth_local_webserver = True
auth_host_port = [8080, 8090]
logging_level = 'ERROR'
category = 23
privacyStatus = 'public'
#property
def file(self):
return self.file_on_server.path
Under the Google Developer Console:
Create a Google OAuth Client ID for native application not web application.
Download JSON to your video app.
Once submitted you should get the following message in your console:
Uploading file...
Video id '' was successfully uploaded.

Getting started with Google Analytics Reporting API for Python

I am just starting with the Google Analytics Reporting API and used the Hello API tutorial to get started. (https://developers.google.com/analytics/solutions/articles/hello-analytics-api)
Unfortunately, I am stuck before I even start. I read it (twice). Created the project, updates the client_secrets.jason file... but when I run the main, it crashes.
File "C:\Python27\New Libraries Downloaded\analytics-v3-python-cmd-line\hello_analytics_api_v3.py", line 173, in <module>
main(sys.argv)
File "C:\Python27\New Libraries Downloaded\analytics-v3-python-cmd-line\hello_analytics_api_v3.py", line 56, in main
service, flags = sample_tools.init(argv, 'analytics', 'v3', __doc__, __file__, scope='https://www.googleapis.com/auth/analytics.readonly')
NameError: global name '__file__' is not defined
I'm new (really really new) to this, so any help (and a more detailed tutorial) would be much appreciated.
Thanks !
EDIT: I have't changed anything from the original code in the tutorial. I'll worry about modifications after I get this running. Thanks !
CODE: hello_analytics_api_v3.py
import argparse
import sys
from apiclient.errors import HttpError
from apiclient import sample_tools
from oauth2client.client import AccessTokenRefreshError
def main(argv):
# Authenticate and construct service.
service, flags = sample_tools.init(argv, 'analytics', 'v3', __doc__, __file__, scope='https://www.googleapis.com/auth/analytics.readonly')
# Try to make a request to the API. Print the results or handle errors.
try:
first_profile_id = get_first_profile_id(service)
if not first_profile_id:
print 'Could not find a valid profile for this user.'
else:
results = get_top_keywords(service, first_profile_id)
print_results(results)
except TypeError, error:
# Handle errors in constructing a query.
print ('There was an error in constructing your query : %s' % error)
except HttpError, error:
# Handle API errors.
print ('Arg, there was an API error : %s : %s' % (error.resp.status, error._get_reason()))
except AccessTokenRefreshError:
# Handle Auth errors.
print ('The credentials have been revoked or expired, please re-run ','the application to re-authorize')
def get_first_profile_id(service):
"""Traverses Management API to return the first profile id.
This first queries the Accounts collection to get the first account ID.
This ID is used to query the Webproperties collection to retrieve the first
webproperty ID. And both account and webproperty IDs are used to query the
Profile collection to get the first profile id.
Args:
service: The service object built by the Google API Python client library.
Returns:
A string with the first profile ID. None if a user does not have any
accounts, webproperties, or profiles.
"""
accounts = service.management().accounts().list().execute()
if accounts.get('items'):
firstAccountId = accounts.get('items')[0].get('id')
webproperties = service.management().webproperties().list(
accountId=firstAccountId).execute()
if webproperties.get('items'):
firstWebpropertyId = webproperties.get('items')[0].get('id')
profiles = service.management().profiles().list(
accountId=firstAccountId,
webPropertyId=firstWebpropertyId).execute()
if profiles.get('items'):
return profiles.get('items')[0].get('id')
return None
def get_top_keywords(service, profile_id):
"""Executes and returns data from the Core Reporting API.
This queries the API for the top 25 organic search terms by visits.
Args:
service: The service object built by the Google API Python client library.
profile_id: String The profile ID from which to retrieve analytics data.
Returns:
The response returned from the Core Reporting API.
"""
return service.data().ga().get(
ids='ga:' + profile_id,
start_date='2012-01-01',
end_date='2012-01-15',
metrics='ga:visits',
dimensions='ga:source,ga:keyword',
sort='-ga:visits',
filters='ga:medium==organic',
start_index='1',
max_results='25').execute()
def print_results(results):
"""Prints out the results.
This prints out the profile name, the column headers, and all the rows of
data.
Args:
results: The response returned from the Core Reporting API.
"""
print
print 'Profile Name: %s' % results.get('profileInfo').get('profileName')
print
# Print header.
output = []
for header in results.get('columnHeaders'):
output.append('%30s' % header.get('name'))
print ''.join(output)
# Print data table.
if results.get('rows', []):
for row in results.get('rows'):
output = []
for cell in row:
output.append('%30s' % cell)
print ''.join(output)
else:
print 'No Rows Found'
if __name__ == '__main__':
main(sys.argv)

according to the error the program doesn't recognize 'file'. In IPython this error comes up (not 100% sure why) but this error shouldn't come up when running a file. In a file the 'file' argument will return the full path and the file name.
Try creating a file and running from there or simply paste in a the full path and file name instead.
Also be sure that the client secrets are located in the same folder as your script!

Python: Upload a photo to photobucket

Can a Python script upload a photo to photo bucket and then retrieve the URL for it? Is so how?
I found a script at this link: http://www.democraticunderground.com/discuss/duboard.php?az=view_all&address=240x677
But I just found that confusing.
many thanks,
Phil

Yes, you can. Photobucket has a well-documented API, and someone wrote a wrapper around it.
Download the it and put it into your Python path, then download httplib2 (you can use easy_install or pip for this one).
Then, you have to request a key for the Photobucket API.
If you did everything right, you can write your script now. The Python wrapper is great, but is not documented at all which makes it very difficult to use it. I spent hours on understanding it (compare the question and response time here). As example, the script even has form/multipart support, but I had to read the code to find out how to use it. I had to prefix the filename with a #.
This library is a great example how you should NOT document your code!
I finally got it working, enjoy the script: (it even has oAuth handling!)
import pbapi
import webbrowser
import cPickle
import os
import re
import sys
from xml.etree import ElementTree
__author__ = "leoluk"
###############################################
## CONFIGURATION ##
###############################################
# File in which the oAuth token will be stored
TOKEN_FILE = "token.txt"
IMAGE_PATH = r"D:\Eigene Dateien\Bilder\SC\foo.png"
IMAGE_RECORD = {
"type": 'image',
"uploadfile": '#'+IMAGE_PATH,
"title": "My title", # <---
"description": "My description", # <---
}
ALBUM_NAME = None # default album if None
API_KEY = "149[..]"
API_SECRET = "528[...]"
###############################################
## SCRIPT ##
###############################################
api = pbapi.PbApi(API_KEY, API_SECRET)
api.pb_request.connection.cache = None
# Test if service online
api.reset().ping().post()
result = api.reset().ping().post().response_string
ET = ElementTree.fromstring(result)
if ET.find('status').text != 'OK':
sys.stderr.write("error: Ping failed \n"+result)
sys.exit(-1)
try:
# If there is already a saved oAuth token, no need for a new one
api.username, api.pb_request.oauth_token = cPickle.load(open(TOKEN_FILE))
except (ValueError, KeyError, IOError, TypeError):
# If error, there's no valid oAuth token
# Getting request token
api.reset().login().request().post().load_token_from_response()
# Requesting user permission (you have to login with your account)
webbrowser.open_new_tab(api.login_url)
raw_input("Press Enter when you finished access permission. ")
#Getting oAuth token
api.reset().login().access().post().load_token_from_response()
# This is needed for getting the right subdomain
infos = api.reset().album(api.username).url().get().response_string
ET = ElementTree.fromstring(infos)
if ET.find('status').text != 'OK':
# Remove the invalid oAuth
os.remove(TOKEN_FILE)
# This happend is user deletes the oAuth permission online
sys.stderr.write("error: Permission deleted. Please re-run.")
sys.exit(-1)
# Fresh values for username and subdomain
api.username = ET.find('content/username').text
api.set_subdomain(ET.find('content/subdomain/api').text)
# Default album name
if not ALBUM_NAME:
ALBUM_NAME = api.username
# Debug :-)
print "User: %s" % api.username
# Save the new, valid oAuth token
cPickle.dump((api.username, api.oauth_token), open(TOKEN_FILE, 'w'))
# Posting the image
result = (api.reset().album(ALBUM_NAME).
upload(IMAGE_RECORD).post().response_string)
ET = ElementTree.fromstring(result)
if ET.find('status').text != 'OK':
sys.stderr.write("error: File upload failed \n"+result)
sys.exit(-1)
# Now, as an example what you could do now, open the image in the browser
webbrowser.open_new_tab(ET.find('content/browseurl').text)

Use the python API by Ron White that was written to do just this