category_list param for test page creation request - facebook-graph-api

Having created a test user for my app, I intend to create a test page by sending the following POST request to the Facebook API (some parts obviously replaced with dummies):
https://graph.facebook.com/v7.0/<TEST_USER_ID>/accounts?access_token=<APP_TOKEN>&name=Dummypage&category_enum=BANK&about="Text"&picture=<URL_TO_IMAGE>&cover_photo={"url": "<URL_TO_OTHER_IMAGE>"}&location={"city": "SomeCity","state": "SomeState","country": "DE"}&address="<ADDRESS>"&phone="<PHONE>"&category_list=[{"id": "133576170041936"} ,{"id": "145988682478380"}]
The problematic part of this is the category_list parameter, which I have attempted to pass in many forms already. Arriving at
category_list=[{"id": "133576170041936"} ,{"id": "145988682478380"}]
I finally no longer get the error that the param has to be an array - instead I get the following error: (#100) Param category_list[0] must be a valid ID string (e.g., \"123\") .
This is fairly confusing, as the IDs are taken from the response of an API response containing the page categories:
https://graph.facebook.com/v7.0/fb_page_categories?access_token=<TOKEN>
How should the parameter be correctly passed?
What I tried so far:
category_list=["145988682478380"]
category_list=[145988682478380]
Result: (#100) Invalid parameter
category_list=[{"id": "145988682478380"}]
category_list=[{"id": "145988682478380", "name": "Kreditgenossenschaft", "api_enum": "CREDIT_UNION"}] #full entry as listed in page categories response
Result: (#100) Param category_list[0] must be a valid ID string (e.g., "123")
Documentation references
Page category
Creating a test page via POST request

This curl command worked by me:
curl -i -X POST -H "Content-Type: application/json" -d "{ \"category_list\": [192803624072087, 145988682478380]}" "https://graph.facebook.com/v8.0/me?access_token=[page_access_token]"
So with the following JSON Body:
{
"category_list": [192803624072087, 145988682478380]
}

Related

Failed to initialize a glossary. 404 Glossary not found - While running the Google translation

I'm trying to use Google translation with glossary. The Glossary is created, I can see it in activity dashboard:
But when I try to get_glossary (just a simple script from google) server responce.
name = client.glossary_path( project_id, "us-central1", glossary_id)
print(name)
response = client.get_glossary(name)
-------- output:
NotFound: 404 Glossary not found.
Trying use list_glossaries, but it return noting. Can't figured out where mistake is?
Based from your screenshot you were able to create the glossary. Another way to check glossary if it is existing is to use the Long Running Operation ID (Underlined in Red.)
Send a request to GET the status of the operation. Refer to this document for a better explanation on using long running operations.
curl -X GET \
-H "Authorization: Bearer "$(gcloud auth application-default print-access-token) \
https://translation.googleapis.com/v3/projects/your-project-id-here/locations/us-central1/operations/your-opperation-id-here
It will return this response that contains the status of your operation. Compare the returned "name" versus the returned "name" in your code name = client.glossary_path( project_id, "us-central1", glossary_id) and check if there are just wrong parameters.
Also just a note, the proper way to use client.get_glossary is to pass a request object.
name = client.glossary_path( project_id, "us-central1", glossary_id)
print(name) # projects/your-project-id/locations/us-central1/glossaries/your-glossary-id
request = {"name" : name}
response = client.get_glossary(request) # pass the request object

How do I format the response body of a request to the predict endpoint of a Google Cloud Platform API request

I'm working off of the tutorial that is premade on GCP when working with the AI Platform component. In short it involves using Kubeflow and Tensorflow Extended to build and deploy a completed ML model for predicting who will be a big tipper off of the Chicago Taxi dataset. Everything has gone well even up to deploying and hitting the predict endpoint of my model however, I can't seem to get the request body correct or find good documentation on how to know what the request body should look. Below I have:
The model from SchemaGen in Kubeflow
The header from the data.csv I used for training and the row I extracted from it in which I want to test
The curl Im using in postman and it's error.
Of note, The error talks about expected a float and getting a string but the model says it should be a float. I'd like to know if anyone can help me determine the datatypes,ordering of the requestBody so I can get a successful prediction back. Thanks in advance!
SchemaGen from Kubeflow:
copy of csv header and data row:
pickup_community_area,fare,trip_start_month,trip_start_hour,trip_start_day,trip_start_timestamp,pickup_latitude,pickup_longitude,dropoff_latitude,dropoff_longitude,trip_miles,pickup_census_tract,dropoff_census_tract,payment_type,company,trip_seconds,dropoff_community_area,tips,big_tipper
60,27.05,10,2,3,1380593700,41.836150155,-87.648787952,,,12.6,,,Cash,Taxi Affiliation Services,1380,,0,0
Curl:
curl --location --request POST 'https://ml.googleapis.com/v1/projects/<<project-name-here/models/tfxmodel:predict'
--header 'Authorization: Bearer <<TOKEN HERE'
--header 'Accept: application/json'
--header 'Content-Type: application/json'
--data-raw '{"instances":["Taxi Affiliation Services","","","","","27.05","Cash","",60,41.836150155,-87.648787952,0,12.6,1380,3,2,10,1380593700]}'
Response:
{"error": "Prediction failed: Error processing input: Expected string, got 27.05 of type 'float' instead."}
Of note if I start converting all the floats and ints to strings it ends up giving me an invalid requestbody error which doesn't suprise me.
To some of the comments: If I add single qoutes into double and also update the empty values to have a zero:
RequestBody:
{"instances":["Taxi Affiliation Services","'0'","'0'","'0'","'0'","'27.05'","Cash","'0'","'60,41.836150155'","'-87.648787952'","'0'","'12.6'","'1380'","'3'","'2'","'10'","'1380593700'"]}
Respose:
{
"error": "Prediction failed: Error during model execution: <_MultiThreadedRendezvous of RPC that terminated with:\n\tstatus = StatusCode.INVALID_ARGUMENT\n\tdetails = \"Could not parse example input, value: 'Taxi Affiliation Services'\n\t [[{{node ParseExample/ParseExampleV2}}]]\"\n\tdebug_error_string = \"{\"created\":\"#1611579449.396545283\",\"description\":\"Error received from peer ipv4:127.0.0.1:8081\",\"file\":\"src/core/lib/surface/call.cc\",\"file_line\":1056,\"grpc_message\":\"Could not parse example input, value: 'Taxi Affiliation Services'\\n\\t [[{{node ParseExample/ParseExampleV2}}]]\",\"grpc_status\":3}\"\n>"
}
Please give a try with the below format :-
{"instances":["\\”Taxi Affiliation Services\\”, , , , ,27.05,\\”Cash\\”, ,60,41.836150155,-87.648787952,0,12.6,1380,3,2,10,1380593700"]}
You can check this link for CSV data with each row encoded as a string value:- https://cloud.google.com/ai-platform/prediction/docs/reference/rest/v1/projects/predict#request-body-details

Graphene Django "Must provide query string"

I have setup a Graphene server using Django. When I run my queries through GraphiQL (the web client), everything works fine. However, when I run from anywhere else, I get the error: "Must provide query string."
I did some troubleshooting. GraphiQL sends POST data to the GraphQL server with Content-Type: application/json. Here is the body of the request that I copied from Chrome network tab for GraphiQL:
{"query":"query PartnersQuery {\n partners{\n name\n url\n logo\n }\n}","variables":"null","operationName":"PartnersQuery"}
When I copy it to Postman with Content-Type: application/json, I get the following response:
{
"errors": [
{
"message": "Must provide query string."
}
]
}
What can be the cause of this problem? I have not done anything crazy with the schema. Just followed the tutorials from graphene's docs. What else can cause an issue like this?
This error is raised when parse_body is unable to parse the incoming data. I'd start there by looking at the data passed into this method and ensuring it's of the correct type.
For example, the multipart/form-data section naively returns request.POST, which may need to be overwritten to handle, for example, the request that apollo-upload-client sends for file upload handling.
In our case we created a view to both require a login and to support the apollo-upload-client use case and it works fine.
Here's how I was able to get a successful response from Postman using a graphene Django backend with a simple mutation:
Set method to POST
Add the URL to your graphQL endpoint, e.g. http://localhost:8000/api/
Add one header -- key: "Content-Type" , value: "application/json"
Set the body to "raw"
Paste in your query into the body window, e.g. {"query":"{myModels {id}}","variables":"null","operationName":null}
This sounds pretty much like what you did, so you must be close.
I faced the same problem when I try to used graphQl query using POSTMAN,
In POSTMAN send data in row with json type.
You have to make json data grapQl query and mutations data like this
Query Command:
{"query":"{user(id:902){id,username,DOB}}"}
Mutations Command:
{ "query": "mutation {createMutations(reviewer:36, comments:\"hello\",loan: 1659, approved: true ){id}}" }
#commnent: String Type
#data_id:Int Type
#approved:Boolean Type
Checkout sample apps and see how they do things,
e.g.
https://github.com/mjtamlyn/graphene-tutorial
they do the following:
from django.views.decorators.csrf import csrf_exempt
from graphene_django.views import GraphQLView
url(r'^explore', GraphQLView.as_view(graphiql=True)),
url(r'^graphql', csrf_exempt(GraphQLView.as_view())),
I encountered exactly the same problem as the original poster, Gasim. Studying the code in 'graphiql.html' I see that they're converting the query string, that goes into the body, into the query parameter in the URL. Thus you end up with this URL being sent via Postman:
http://127.0.0.1:8000/graphql?query=%7B%0A%20%20allCategories%20%7B%0A%20%20%20%20edges%20%7B%0A%20%20%20%20%20%20node%20%7B%0A%20%20%20%20%20%20%20%20name%0A%20%20%20%20%20%20%20%20ingredients%20%7B%0A%20%20%20%20%20%20%20%20%20%20edges%20%7B%0A%20%20%20%20%20%20%20%20%20%20%20%20node%20%7B%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20name%0A%20%20%20%20%20%20%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20%7D%0A%20%20%20%20%7D%0A%20%20%7D%0A%7D%0A
It seems nonsensical to me to duplicate precisely what's in the body in the query string in the URL too but that appears to be the only way to get the Graphene server to return a valid response.
Surely this is a bug/shortcoming that will be fixed?
Robert
Enable graphine on django
url(r'^graphql', csrf_exempt(GraphQLView.as_view(graphiql=settings.DEBUG))),
Execute some query and see it is working
On Chrome browser, go to graphiQL endpoint: http://localhost:8000/graphql? open "Developer Tools" in browser and go to "Network" tab.
Execute your query again. Now it appears on list of requests. Now right mouse click on it and copy it "copy as CURL". Now you can strait copy paste it to linux terminal with curl installed. Or like in your case you can try to deduct what is what there, and try to reuse it in your IDE like client like Insomnia or Postman. For instance you may discover that authorisation that works with session on graphiQL enpoint, is not what you want at the end...
curl 'http://localhost:8000/graphql?' -H 'Origin: http://localhost:8000' -H 'Accept-Encoding: gzip, deflate, br' -H 'Accept-Language: en-US,en;q=0.9,pl;q=0.8,de;q=0.7' -H 'User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36' -H 'Content-Type: application/json' -H 'Accept: application/json' -H 'Cookie: _ga=GA1.1.1578283610.1528109563; _gid=GA1.1.920024733.1541592686; csrftoken=EGBeegFoyMVl8j1fQbuEBG587nOFP2INwv7Q0Ee6HeHHmsLOPUwRonzun9Y6pOjV; sessionid=4u9vngcnmjh927a9avpssvc4oq9qyqoe' -H 'Connection: keep-alive' -H 'X-CSRFToken: EGBeegFoyMVl8j1fQbuEBG587nOFP2INwv7Q0Ee6HeHHmsLOPUwRonzun9Y6pOjV' --data-binary '{"query":"{\n allStatistics(projectId: 413581, first:25) {\n pageInfo {\n startCursor\n endCursor\n hasPreviousPage\n hasNextPage\n }\n edges {\n cursor\n node {\n id\n clickouts\n commissionCanc\n commissionConf\n commissionLeads\n commissionOpen\n eventDate\n extractTstamp\n hash\n leads\n pageviews\n projectId\n transactionsCanc\n transactionsConf\n transactionsOpen\n }\n }\n }\n}\n","variables":null,"operationName":null}' --compressed
The problem in my code was that I had the URL improperly setup for graphQL. I had the following:
url(r'^graphql/', GraphQLView.as_view())
The forward slash was a huge difference. Removing it fixed the problem. The proper way to do it would be:
url(r'^graphql', GraphQLView.as_view())

Return data as json from odoo 9

I want get data in JSON format from odoo controllery.py
Example:
import openerp.http as http
from openerp.http import request
class MyController(http.Controller):
#http.route('/test_html', type="http", auth="public")
def some_html(self):
return "<h1>Test</h1>"
#Work fine when open http://localhost:8069/test.html
#http.route('/test_json', type="json", website=True, auth="public")
def some_json(self):
return [{"name": "Odoo", 'website': 'www.123.com'}]
How get data in json format, I want data from json read in other app with ajax.
Is it possible view json after open url http://localhost:8069/test_json ???
The important part is to define the contentType of your request properly.
import json
#http.route('/test_json', type="json", auth="public")
def some_json(self):
return json.dumps({"name": "Odoo", 'website': 'www.123.com'})
In your client using javascript you can request the json like this.
$.ajax({
type: "POST",
url: "/test_json",
async: false,
data: JSON.stringify({}),
contentType: "application/json",
complete: function (data) {
console.log(data);
}
});
Or using requests in python
import requests,json
res = requests.post("http://localhost:8069/test_json",data=json.dumps({}),headers={"Content-Type":"application/json"})
To access the response body
body = res.text
As to whether you can simply open a browser and view the json. No, not by default.
Here is what I get
Bad Request
<function some_json at 0x7f48386ceb90>, /test_json: Function declared as capable of handling request of type 'json' but called with a request of type 'http'
You could probably do something pretty fancy with a controller if you really wanted to be able to view it in a browser as well as make json requests. I would post a second question though.
Your controller endpoint looks ok and should function correctly, so I guess your main question is how to test it.
Once you declare that the endpoint type is json, Odoo will check that the request content type header is in fact JSON, so in order to test it your requests will need to have Content-Type: application/json header set. This is a bit difficult using a regular browser, unless you edit the request headers before seinding or call your JSON endpoint from JavaScript via Ajax.
Alternatively, you can test your API from command line using a tool like curl:
curl 'http://localhost:8069/test_json' -H 'Content-Type: application/json' --data "{}"
--data "{}" here indicates an empty JSON structure which will be passed to your endpoint as request parameters.
Please note that you might also have to pass an additional header containing your session_id cookie if you are using more than one Odoo database.

Django POST sub-dictionaries

I'm making the following request through command-line cURL:
curl -X POST http://localhost:8000/api/places/ -vvvv -d "place[name]=Starbucks"
However, when I try to access the parameters by calling
request.POST.getlist('place')
I get an empty array as a response. How can I access the sub-dictionary which I can then pass to the ORM?
Thanks,
Jamie
HTTP data elements can't have sub-elements. The data you have posted - as shown in the querydict - has been interpreted as a single element with key "place[name]" and value "Starbucks". So you can get it with request.POST["place[name]"].
It looks like you are sending a string, in that case try:
request.POST.get('place[name]')
If your are simulating a dropdown list you should send "place=Starbucks", however if you are trying to send an array you should try to convert you string to an array inside your python script.
In your command you can get ride of "-X POST" as the parameter -d is already an HTTP POST:
curl --help
...
-d/--data <data> HTTP POST data (H)
curl manual:
http://curl.haxx.se/docs/manual.html