I have sample Python code and i am trying to construct and populate Rest API request parameters.
Headers and Authorization params are working fine but i am not sure how to translate below mention "QueryBands" and "data" variable for my Rest request using rest client.
queryBands = {}
queryBands['appName'] = 'MyApp'
queryBands['version'] = '1.0'
# Setting request fields, including SQL.
data = {}
data['query'] = 'SELECT * from db limit 5'
data['queryBands'] = queryBands
data['format'] = 'array'
request = urllib2.Request(url, json.dumps(data), headers)
try:
response = urllib2.urlopen(request);
Should i need to declare new variables or pass these values as "body" while doing Rest api call?
I am using chrome advance rest-client. But it could be any rest client.
import json
queryBands = {}
queryBands['applicationName'] = 'MyApp'
queryBands['version'] = '1.0'
data = {}
data['query'] = 'SELECT * from db limit 5'
data['queryBands'] = queryBands
data['format'] = 'array'
print(json.dumps(data))
Related
Using texttospeech_v1beta1 to get ssml_mark but getting
"TypeError: synthesize_speech() got an unexpected keyword argument
'enableTimePointing'" error.
from google.cloud import texttospeech_v1beta1
client = texttospeech_v1beta1.TextToSpeechClient()synthesis_input = texttospeech_v1beta1.SynthesisInput(ssml=text)
voice = texttospeech_v1beta1.VoiceSelectionParams(language_code='tr-TR',name='tr-TR-Wavenet-E')
audio_config = texttospeech_v1beta1.AudioConfig(
audio_encoding=texttospeech_v1beta1.AudioEncoding.MP3)
response = client.synthesize_speech(input=synthesis_input, voice=voice, audio_config=audio_config, enableTimePointing = 'SSML_MARK')
print(response.timepoints)
You need to create a SynthesizeSpeechRequest Object instead of passing the arguments individually into client.synthesize_speech
So,
request = texttospeech_v1beta1.SynthesizeSpeechRequest(
input=synthesis_input,
voice=voice,
audio_config=audio_config,
enable_time_pointing=[texttospeech_v1beta1.SynthesizeSpeechRequest.TimepointType.SSML_MARK]
response = client.synthesize_speech(request)
Full example
from google.cloud.texttospeech_v1beta1 import VoiceSelectionParams, AudioConfig, AudioEncoding, SynthesizeSpeechRequest, SynthesisInput, TextToSpeechClient
client = TextToSpeechClient()
synthesis_input = SynthesisInput(ssml="<speak><mark name=\"1st\"/>Hello <mark name=\"2nd\"/>world</speak>")
voice = VoiceSelectionParams(language_code='en-US', name='en-US-Wavenet-D', ssml_gender='MALE')
audio_config = AudioConfig(audio_encoding=AudioEncoding.MP3)
request = SynthesizeSpeechRequest(input=synthesis_input, voice=voice, audio_config=audio_config, enable_time_pointing=[SynthesizeSpeechRequest.TimepointType.SSML_MARK])
response = client.synthesize_speech(request=request)
timepoints = list(response.timepoints)
# do something with timepoints
Using requests module want to query Gerrit server and for this need set authentication in below code. And this needs to be done without using any other module like pygerrit2. And if this can be done using HTTP password generated from gerrit. If this is not doable, share an example if auth has to be passed along with Get request.
import requests
import json
import os
GERRIT_SERVER = 'https://gerrit.abc.com'
class GerritServer():
def __init__(self):
self._base_url = GERRIT_SERVER
self._endpoints = {
'CHANGES': 'changes',
}
def _get_endpoint(self, token):
try:
endpoint = self._endpoints[token]
except ValueError:
raise Exception('endpoint not defined for {0}'.format(token))
return '{0}/{1}'.format(self._base_url, endpoint)
def get_endpoint_changes(self):
return self._get_endpoint('CHANGES')
Gerrit's REST API uses digest auth.
username = 'foo'
httpassword = 'bar'
api = 'baz'
auth = requests.auth.HTTPDigestAuth(username, httpassword)
r = requests.get(api, auth=auth)
I want to fetch all customer accounts from Zuora. Apart from Exports REST API, Is there any API available to fetch all accounts in a paginated list?
This is the format I used to fetch revenue invoices, use this code and change the endpoint
import pandas as pd
# Set the sleep time to 10 seconds
sleep = 10
# Zuora OAUTH token URL
token_url = "https://rest.apisandbox.zuora.com/oauth/token"
# URL for the DataQuery
query_url = "https://rest.apisandbox.zuora.com/query/jobs"
# OAUTH client_id & client_secret
client_id = 'your client id'
client_secret = 'your client secret'
# Set the grant type to client credential
token_data = {'grant_type': 'client_credentials'}
# Send the POST request for the OAUTH token
access_token_resp = requests.post(token_url, data=token_data,
auth=(client_id, client_secret))
# Print the OAUTH token respose text
#print access_token_resp.text
# Parse the tokens as json data from the repsonse
tokens = access_token_resp.json()
#print "access token: " + tokens['access_token']
# Use the access token in future API calls & Add to the headers
query_job_headers = {'Content-Type':'application/json',
'Authorization': 'Bearer ' + tokens['access_token']}
# JSON Data for our DataQuery
json_data = {
"query": "select * from revenuescheduleiteminvoiceitem",
"outputFormat": "JSON",
"compression": "NONE",
"retries": 3,
"output": {
"target": "s3"
}
}
# Parse the JSON output
data = json.dumps(json_data)
# Send the POST request for the dataquery
query_job_resp = requests.post(query_url, data=data,
headers=query_job_headers)
# Print the respose text
#print query_job_resp.text
# Check the Job Status
# 1) Parse the Query Job Response JSON data
query_job = query_job_resp.json()
# 2) Create the Job URL with the id from the response
query_job_url = query_url+'/'+query_job["data"]["id"]
# 3) Send the GETrequest to check on the status of the query
query_status_resp = requests.get(query_job_url, headers = query_job_headers)
#print query_status_resp.text
# Parse the status from teh response
query_status = query_status_resp.json()["data"]["queryStatus"]
#print ('query status:'+query_status)
# Loop until the status == completed
# Exit if there is an error
while (query_status != 'completed'):
time.sleep(sleep)
query_status_resp = requests.get(query_job_url, headers = query_job_headers)
#print query_status_resp.text
query_status = query_status_resp.json()["data"]["queryStatus"]
if (query_status == 'failed'):
print ("query: "+query_status_resp.json()["data"]["query"]+' Failed!\n')
exit(1)
# Query Job has completed
#print ('query status:'+query_status)
# Get the File URL
file_url = query_status_resp.json()["data"]["dataFile"]
print (file_url)```
If you don't want to use Data Query or any queue-based solution like that, use Zoql instead.
Note! You need to know all fields from the Account object you need, the asterisk (select *) doesn't work here:
select Id, ParentId, AccountNumber, Name from Account
You may also add custom fields into your selection. You will get up to 200 records per page.
I've just updated Liquidsoap to 1.3.0 and now get_process_lines does not return anything.
def get_request() =
# Get the URI
lines = get_process_lines("curl http://localhost:3000/api/v1/liquidsoap/next/my-radio")
log("liquidsoap curl returns #{lines}")
uri = list.hd(default="",lines)
log("liquidsoap will try and play #{uri}")
# Create a request
request.create(uri)
end
I read on the CHANGELOG
- Moved get_process_lines and get_process_output to utils.liq, added optional env parameter
Does it mean I have to do something to use utils.liq in my script now ?
The full script is as follows
set("log.file",false)
set("log.stdout",true)
set("log.level",3)
def apply_metadata(m) =
title = m["title"]
artist = m["artist"]
log("Now playing: #{title} by #{artist}")
end
# Our custom request function
def get_request() =
# Get the URI
lines = get_process_lines("curl http://localhost:3000/api/v1/liquidsoap/next/my-radio")
log("liquidsoap curl returns #{lines}")
uri = list.hd(default="",lines)
log("liquidsoap will try and play #{uri}")
# Create a request
request.create(uri)
end
def my_safe(s) =
security = sine()
fallback(track_sensitive=false,[s,security])
end
s = request.dynamic(id="s",get_request)
s = on_metadata(apply_metadata,s)
s = crossfade(s)
s = my_safe(s)
# We output the stream to an icecast
# server, in ogg/vorbis format.
log("liquidsoap starting")
output.icecast(
%mp3(id3v2=true,bitrate=128,samplerate=44100),
host = "localhost",
port = 8000,
password = "PASSWORD",
mount = "myradio",
genre="various",
url="http://www.myradio.fr",
description="My Radio",
s
)
Of course the API is working
$ curl http://localhost:3000/api/v1/liquidsoap/next/my-radio
annotate:title="Chamakay",artist="Blood Orange",album="Cupid Deluxe":http://localhost/stream/3.mp3
A more simple example :
lines = get_process_lines("echo hi")
log("lines = #{lines}")
line = list.hd(default="",lines)
log("line = #{line}")
returns the following logs
2017/05/05 15:24:42 [lang:3] lines = []
2017/05/05 15:24:42 [lang:3] line =
Many thanks in advance for your help !
geoffroy
The issue was fixed in liquidsoap 1.3.1
Fixed:
Fixed run_process, get_process_lines, get_process_output when compiling with OCaml <= 4.03 (#437, #439)
https://github.com/savonet/liquidsoap/blob/1.3.1/CHANGES#L12
I am attempting to access the betfair API using Matlab and the urlread2 function available here.
EDIT: I have posted this problem on Freelancer if anyone can help with it: tinyurl.../pa7sblb
The documentation for the betfair API I am following is this getting started guide. I have successfully logged in and kept the session open using these codes: (I am getting a success response)
%% Login and get Token
url = 'https://identitysso.betfair.com/api/login';
params = {'username' '******' 'password' '******'};
header1 = http_createHeader('X-Application','*****');
header2 = http_createHeader('Accept','application/json');
header = [header1, header2];
[paramString] = http_paramsToString(params)
[login,extras] = urlread2(url,'POST',paramString,header)
login = loadjson(login)
token = login.token
%% Keep Alive
disp('Keep Session Alive')
url_alive = 'https://identitysso.betfair.com/api/keepAlive';
header1 = http_createHeader('X-Application','******');
header2 = http_createHeader('Accept','application/json');
header3 = http_createHeader('X-Authentication',token');
header_alive = [header1, header2, header3];
[keep_alive,extras] = urlread2(url_alive,'POST',[],header_alive);
keep_alive = loadjson(keep_alive);
keep_alive_status = keep_alive.status
My trouble starts when I am attempting to do the next step and load all available markets. I am trying to replicate this example code which is designed for Python
import requests
import json
endpoint = "https://api.betfair.com/exchange/betting/rest/v1.0/"
header = { 'X-Application' : 'APP_KEY_HERE', 'X-Authentication' : 'SESSION_TOKEN_HERE' ,'content-type' : 'application/json' }
json_req='{"filter":{ }}'
url = endpoint + "listEventTypes/"
response = requests.post(url, data=json_req, headers=header)
The code I am using for Matlab is below.
%% Get Markets
url = 'https://api.betfair.com/exchange/betting/rest/v1.0/listEventTypes/';
header_application = http_createHeader('X-Application','******');
header_authentication = http_createHeader('X-Authentication',token');
header_content = http_createHeader('content_type','application/json');
header_list = [header_application, header_authentication, header_content];
json_body = savejson('','filter: {}');
[list,extras] = urlread2(url_list,'POST',json_body,header_list)
I am having trouble with a http response code 415. I believe that the server cannot understand my parameter since the headings I have used with success previously.
Any help or advice would be greatly appreciated!
This is the error:
Response stream is undefined
below is a Java Error dump (truncated):
Error using urlread2 (line 217)
Java exception occurred:
java.io.IOException: Server returned HTTP response code: 415 for URL....
I looked at your problem and it seems to be caused by two things:
1) The content type should be expressed as 'content-type' and not 'content_type'
2) The savejson-function doesn't create an adequate json-string. If you use the json-request from the Python-script it works.
This code work for me:
%% Get Markets
url = 'https://api.betfair.com/exchange/betting/rest/v1.0/listEventTypes/';
header_application = http_createHeader('X-Application','*********');
header_authentication = http_createHeader('X-Authentication',token');
header_content = http_createHeader('content-type','application/json');
header_list = [header_application, header_authentication, header_content];
json_body = '{"filter":{ }}';
[list,extras] = urlread2(url,'POST',json_body,header_list)