I've been using KuCoin API with python for a while now, but stuck trying to get advanced orders form the API. For reference, 'advanced orders' are what stop limit orders are called within KuCoin dash.
I've used the endpoint: api/v1/orders
. I've experimented with this but it only shows 'normal' orders or the order history if 'status' is set to 'done'. Ref: https://docs.kucoin.com/#list-orders
I'm wondering if instead I should use: /api/v1/limit/orders. This endpoint has an option to return stop_limit orders. But when I try, I get response:
{"code":"400007","msg":"Access denied, require more permission."}'
I checked my API permissions and its 'General' permission is set to 'read only' which is the only option. Read only would be fine for me because I only want to get the list of all 'Advanced orders'
See https://docs.kucoin.com/#recent-orders
Does anyone know how to get all open limit orders please? The reason I want this is I have placed many limit orders. I want to collect the orderid's of all stop limit orders so I can clean out just the ones not associated to an active trade.
my code is as follows:
import requests
import json
import hmac
import hashlib
import base64
from urllib.parse import urlencode
import time
from urllib.request import urlretrieve
'''working code to get active orders'''
api_key = 'api_key'
api_secret = 'api_secret'
api_passphrase = 'api_passphrase' # this is NOT trading password
base_uri = 'https://api.kucoin.com'
def get_headers(method, endpoint):
now = int(time.time() * 1000)
str_to_sign = str(now) + method + endpoint
signature = base64.b64encode(hmac.new(api_secret.encode(), str_to_sign.encode(), hashlib.sha256).digest()).decode()
passphrase = base64.b64encode(hmac.new(api_secret.encode(), api_passphrase.encode(), hashlib.sha256).digest()).decode()
return {'KC-API-KEY': api_key,
'KC-API-KEY-VERSION': '2',
'KC-API-PASSPHRASE': passphrase,
'KC-API-SIGN': signature,
'KC-API-TIMESTAMP': str(now)
}
#List Orders
method = 'GET'
endpoint = '/api/v1/limit/orders/' # main
# params = {'type': 'stop_limit'}
params = {}
# # if params :
qstr = '?' + urlencode(params)if params else ''
active_orders = requests.get(url=base_uri+endpoint+qstr, headers=get_headers(method,endpoint+qstr))
How do we post a GraphQL request through AWS AppSync using boto?
Ultimately I'm trying to mimic a mobile app accessing our stackless/cloudformation stack on AWS, but with python. Not javascript or amplify.
The primary pain point is authentication; I've tried a dozen different ways already. This the current one, which generates a "401" response with "UnauthorizedException" and "Permission denied", which is actually pretty good considering some of the other messages I've had. I'm now using the 'aws_requests_auth' library to do the signing part. I assume it authenticates me using the stored /.aws/credentials from my local environment, or does it?
I'm a little confused as to where and how cognito identities and pools will come into it. eg: say I wanted to mimic the sign-up sequence?
Anyways the code looks pretty straightforward; I just don't grok the authentication.
from aws_requests_auth.boto_utils import BotoAWSRequestsAuth
APPSYNC_API_KEY = 'inAppsyncSettings'
APPSYNC_API_ENDPOINT_URL = 'https://aaaaaaaaaaaavzbke.appsync-api.ap-southeast-2.amazonaws.com/graphql'
headers = {
'Content-Type': "application/graphql",
'x-api-key': APPSYNC_API_KEY,
'cache-control': "no-cache",
}
query = """{
GetUserSettingsByEmail(email: "john#washere"){
items {name, identity_id, invite_code}
}
}"""
def test_stuff():
# Use the library to generate auth headers.
auth = BotoAWSRequestsAuth(
aws_host='aaaaaaaaaaaavzbke.appsync-api.ap-southeast-2.amazonaws.com',
aws_region='ap-southeast-2',
aws_service='appsync')
# Create an http graphql request.
response = requests.post(
APPSYNC_API_ENDPOINT_URL,
json={'query': query},
auth=auth,
headers=headers)
print(response)
# this didn't work:
# response = requests.post(APPSYNC_API_ENDPOINT_URL, data=json.dumps({'query': query}), auth=auth, headers=headers)
Yields
{
"errors" : [ {
"errorType" : "UnauthorizedException",
"message" : "Permission denied"
} ]
}
It's quite simple--once you know. There are some things I didn't appreciate:
I've assumed IAM authentication (OpenID appended way below)
There are a number of ways for appsync to handle authentication. We're using IAM so that's what I need to deal with, yours might be different.
Boto doesn't come into it.
We want to issue a request like any regular punter, they don't use boto, and neither do we. Trawling the AWS boto docs was a waste of time.
Use the AWS4Auth library
We are going to send a regular http request to aws, so whilst we can use python requests they need to be authenticated--by attaching headers.
And, of course, AWS auth headers are special and different from all others.
You can try to work out how to do it
yourself, or you can go looking for someone else who has already done it: Aws_requests_auth, the one I started with, probably works just fine, but I have ended up with AWS4Auth. There are many others of dubious value; none endorsed or provided by Amazon (that I could find).
Specify appsync as the "service"
What service are we calling? I didn't find any examples of anyone doing this anywhere. All the examples are trivial S3 or EC2 or even EB which left uncertainty. Should we be talking to api-gateway service? Whatsmore, you feed this detail into the AWS4Auth routine, or authentication data. Obviously, in hindsight, the request is hitting Appsync, so it will be authenticated by Appsync, so specify "appsync" as the service when putting together the auth headers.
It comes together as:
import requests
from requests_aws4auth import AWS4Auth
# Use AWS4Auth to sign a requests session
session = requests.Session()
session.auth = AWS4Auth(
# An AWS 'ACCESS KEY' associated with an IAM user.
'AKxxxxxxxxxxxxxxx2A',
# The 'secret' that goes with the above access key.
'kwWxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxgEm',
# The region you want to access.
'ap-southeast-2',
# The service you want to access.
'appsync'
)
# As found in AWS Appsync under Settings for your endpoint.
APPSYNC_API_ENDPOINT_URL = 'https://nqxxxxxxxxxxxxxxxxxxxke'
'.appsync-api.ap-southeast-2.amazonaws.com/graphql'
# Use JSON format string for the query. It does not need reformatting.
query = """
query foo {
GetUserSettings (
identity_id: "ap-southeast-2:8xxxxxxb-7xx4-4xx4-8xx0-exxxxxxx2"
){
user_name, email, whatever
}}"""
# Now we can simply post the request...
response = session.request(
url=APPSYNC_API_ENDPOINT_URL,
method='POST',
json={'query': query}
)
print(response.text)
Which yields
# Your answer comes as a JSON formatted string in the text attribute, under data.
{"data":{"GetUserSettings":{"user_name":"0xxxxxxx3-9102-42f0-9874-1xxxxx7dxxx5"}}}
Getting credentials
To get rid of the hardcoded key/secret you can consume the local AWS ~/.aws/config and ~/.aws/credentials, and it is done this way...
# Use AWS4Auth to sign a requests session
session = requests.Session()
credentials = boto3.session.Session().get_credentials()
session.auth = AWS4Auth(
credentials.access_key,
credentials.secret_key,
boto3.session.Session().region_name,
'appsync',
session_token=credentials.token
)
...<as above>
This does seem to respect the environment variable AWS_PROFILE for assuming different roles.
Note that STS.get_session_token is not the way to do it, as it may try to assume a role from a role, depending where it keyword matched the AWS_PROFILE value. Labels in the credentials file will work because the keys are right there, but names found in the config file do not work, as that assumes a role already.
OpenID
In this scenario, all the complexity is transferred to the conversation with the openid connect provider. The hard stuff is all the auth hoops you jump through to get an access token, and thence using the refresh token to keep it alive. That is where all the real work lies.
Once you finally have an access token, assuming you have configured the "OpenID Connect" Authorization Mode in appsync, then you can, very simply, drop the access token into the header:
response = requests.post(
url="https://nc3xxxxxxxxxx123456zwjka.appsync-api.ap-southeast-2.amazonaws.com/graphql",
headers={"Authorization": ACCESS_TOKEN},
json={'query': "query foo{GetStuff{cat, dog, tree}}"}
)
You can set up an API key on the AppSync end and use the code below. This works for my case.
import requests
# establish a session with requests session
session = requests.Session()
# As found in AWS Appsync under Settings for your endpoint.
APPSYNC_API_ENDPOINT_URL = 'https://vxxxxxxxxxxxxxxxxxxy.appsync-api.ap-southeast-2.amazonaws.com/graphql'
# setup the query string (optional)
query = """query listItemsQuery {listItemsQuery {items {correlation_id, id, etc}}}"""
# Now we can simply post the request...
response = session.request(
url=APPSYNC_API_ENDPOINT_URL,
method='POST',
headers={'x-api-key': '<APIKEYFOUNDINAPPSYNCSETTINGS>'},
json={'query': query}
)
print(response.json()['data'])
Building off Joseph Warda's answer you can use the class below to send AppSync commands.
# fileName: AppSyncLibrary
import requests
class AppSync():
def __init__(self,data):
endpoint = data["endpoint"]
self.APPSYNC_API_ENDPOINT_URL = endpoint
self.api_key = data["api_key"]
self.session = requests.Session()
def graphql_operation(self,query,input_params):
response = self.session.request(
url=self.APPSYNC_API_ENDPOINT_URL,
method='POST',
headers={'x-api-key': self.api_key},
json={'query': query,'variables':{"input":input_params}}
)
return response.json()
For example in another file within the same directory:
from AppSyncLibrary import AppSync
APPSYNC_API_ENDPOINT_URL = {YOUR_APPSYNC_API_ENDPOINT}
APPSYNC_API_KEY = {YOUR_API_KEY}
init_params = {"endpoint":APPSYNC_API_ENDPOINT_URL,"api_key":APPSYNC_API_KEY}
app_sync = AppSync(init_params)
mutation = """mutation CreatePost($input: CreatePostInput!) {
createPost(input: $input) {
id
content
}
}
"""
input_params = {
"content":"My first post"
}
response = app_sync.graphql_operation(mutation,input_params)
print(response)
Note: This requires you to activate API access for your AppSync API. Check this AWS post for more details.
graphql-python/gql supports AWS AppSync since version 3.0.0rc0.
It supports queries, mutation and even subscriptions on the realtime endpoint.
The documentation is available here
Here is an example of a mutation using the API Key authentication:
import asyncio
import os
import sys
from urllib.parse import urlparse
from gql import Client, gql
from gql.transport.aiohttp import AIOHTTPTransport
from gql.transport.appsync_auth import AppSyncApiKeyAuthentication
# Uncomment the following lines to enable debug output
# import logging
# logging.basicConfig(level=logging.DEBUG)
async def main():
# Should look like:
# https://XXXXXXXXXXXXXXXXXXXXXXXXXX.appsync-api.REGION.amazonaws.com/graphql
url = os.environ.get("AWS_GRAPHQL_API_ENDPOINT")
api_key = os.environ.get("AWS_GRAPHQL_API_KEY")
if url is None or api_key is None:
print("Missing environment variables")
sys.exit()
# Extract host from url
host = str(urlparse(url).netloc)
auth = AppSyncApiKeyAuthentication(host=host, api_key=api_key)
transport = AIOHTTPTransport(url=url, auth=auth)
async with Client(
transport=transport, fetch_schema_from_transport=False,
) as session:
query = gql(
"""
mutation createMessage($message: String!) {
createMessage(input: {message: $message}) {
id
message
createdAt
}
}"""
)
variable_values = {"message": "Hello world!"}
result = await session.execute(query, variable_values=variable_values)
print(result)
asyncio.run(main())
I am unable to add a comment due to low rep, but I just want to add that I tried the accepted answer and it didn't work. I was getting an error saying my session_token is invalid. Probably because I was using AWS Lambda.
I got it to work pretty much exactly, but by adding to the session token parameter of the aws4auth object. Here's the full piece:
import requests
import os
from requests_aws4auth import AWS4Auth
def AppsyncHandler(event, context):
# These are env vars that are always present in an AWS Lambda function
# If not using AWS Lambda, you'll need to add them manually to your env.
access_id = os.environ.get("AWS_ACCESS_KEY_ID")
secret_key = os.environ.get("AWS_SECRET_ACCESS_KEY")
session_token = os.environ.get("AWS_SESSION_TOKEN")
region = os.environ.get("AWS_REGION")
# Your AppSync Endpoint
api_endpoint = os.environ.get("AppsyncConnectionString")
resource = "appsync"
session = requests.Session()
session.auth = AWS4Auth(access_id,
secret_key,
region,
resource,
session_token=session_token)
The rest is the same.
Hope this Helps Everyone
import requests
import json
import os
from dotenv import load_dotenv
load_dotenv(".env")
class AppSync(object):
def __init__(self,data):
endpoint = data["endpoint"]
self.APPSYNC_API_ENDPOINT_URL = endpoint
self.api_key = data["api_key"]
self.session = requests.Session()
def graphql_operation(self,query,input_params):
response = self.session.request(
url=self.APPSYNC_API_ENDPOINT_URL,
method='POST',
headers={'x-api-key': self.api_key},
json={'query': query,'variables':{"input":input_params}}
)
return response.json()
def main():
APPSYNC_API_ENDPOINT_URL = os.getenv("APPSYNC_API_ENDPOINT_URL")
APPSYNC_API_KEY = os.getenv("APPSYNC_API_KEY")
init_params = {"endpoint":APPSYNC_API_ENDPOINT_URL,"api_key":APPSYNC_API_KEY}
app_sync = AppSync(init_params)
mutation = """
query MyQuery {
getAccountId(id: "5ca4bbc7a2dd94ee58162393") {
_id
account_id
limit
products
}
}
"""
input_params = {}
response = app_sync.graphql_operation(mutation,input_params)
print(json.dumps(response , indent=3))
main()
I use wp job manager on my website. when I tried to add listing by xmlrpc, everything is fine, but Categories and Location are empty.
Screenshot
Screenshot
My code is as below. Could you tell me what's wrong with my code?
Thanks
from wordpress_xmlrpc import Client, WordPressPost
from wordpress_xmlrpc.methods.posts import GetPosts
from wordpress_xmlrpc.methods import posts
from wordpress_xmlrpc import WordPressTerm
from wordpress_xmlrpc.methods import taxonomies
wp = Client('http://127.0.0.1/15wp/xmlrpc.php', 'admin', '123456')
# now let's create a new product
widget = WordPressPost()
widget.post_type = 'job_listing'
widget.title = 'Widgetlast02'
widget.content = 'This is the widgets description.'
widget.post_status = 'publish'
widget.custom_fields = []
widget.custom_fields.append({
'job_location': 'Newyork',
'job_listing_category': 'hotel'
})
widget.id = wp.call(posts.NewPost(widget))
The custom_fields attribute expects a list of dicts.
Within each dict, it expects values for key and value fields.
Here, key is the name of the custom field, and value is the value you want to assign to it.
Below is the snippet for your specific example.
widget.custom_fields = [
{
'key': 'job_location',
'value': 'Newyork'
},
{
'key': 'job_listing_category',
'value': 'hotel'
}
]
This is just a guess from looking at the documentation for WordPressPost in wordpress_xmlrpc:
(Emphasis mine)
class WordPressPost
Represents a post, page, or other registered custom post type in
WordPress.
id
user
date (datetime)
date_modified (datetime)
slug
post_status
title
content
excerpt
link
comment_status
ping_status
terms (list of WordPressTerms)
terms_names (dict)
custom_fields (dict)
enclosure (dict)
password
post_format
thumbnail
sticky
post_type
It expects custom_fields to be a dict - you're creating a list and then inserting a dict into that list:
widget.custom_fields = []
widget.custom_fields.append({
'job_location': 'Newyork',
'job_listing_category': 'hotel'
})
This will probably work better:
widget.custom_fields = {
'job_location': 'Newyork',
'job_listing_category': 'hotel'
}
I would really appreciate if someone can help me with this. I need Django (Python) function to inject some parameters into a pipeline script, pass it to MongoDB Atlas and receive the result in a cursor.
from bson import ObjectId
import pymongo
conn = "connection string"
client = pymongo.MongoClient(conn)
pipeline = [
<<pipeline script>>
]
out = client.db.mycollection.aggregate(pipeline)
If you're using Djongo to connect the Django ORM to MongoDB, you could use the provided DjongoManager as the manager for your Model, and use PyMongo functions using the mongo_ prefix. Here's a quick example:
models.py
from djongo import models
class Message(models.Model):
text = models.CharField(max_length=150)
objects = models.DjongoManager()
Then in the shell you could do something like:
>>> from core.models import *
>>> cursor = Message.objects.mongo_aggregate('pipeline')
I am attempting to use the Facebook-Python-Ads-SDK to automate reporting on Ad Account performance. I have successfully requested a report at the ad set level, however the output of the report is a Cursor object, where I would prefer it to be a json or csv. I have tried the "export_format" option in params but it does not seem to make any difference. The output looks like JSON, so I attempted to import the object as a dataframe in pandas using pd.read_json(result) but it gives off an error saying that the object type "Cursor" needs to be str or bytes.
Does anyone have any experience with this api that can help me out? My code is below.
def report_request(start_date,end_date):
fields = [
'date_start',
'account_name',
'adset_name',
'ad_name',
'impressions',
'clicks',
'spend'
]
params = {
'time_range': {
'since': start_time,
'until': end_time,
},
'level':'ad',
'export_format':'csv'
}
account_id = [<ACCOUNT_ID>]
adAccount = AdAccount('act_' + account_id)
api_batch = get_api().new_batch()
request = adAccount.get_insights(fields=fields, params=params, async=False, batch=api_batch)
result = request.execute()
return result