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Microsoft Graph API how to send an attachment in a chat

I want to use the Microsoft Graph API to send messages with attachments to chats or channels.
https://learn.microsoft.com/en-us/graph/api/chatmessage-post?view=graph-rest-1.0&tabs=http#example-4-send-a-message-with-file-attachment-in-it
I can send normal messages already just fine like this:
def post_message(chat_id: str, subject: str = "", content_type: str = "text", content: str = "") -> None:
url = f"https://graph.microsoft.com/v1.0/chats/{chat_id}/messages"
json = {
"subject": subject,
"body": {
"contentType": content_type,
"content": content
}
}
res = requests.post(url, headers=header, json=json)
I try to copy the body from the example in the link above, substitute for my values and swap json variable for this one:
attachment_id = '7QW90B10D7-B5AK-420A-AC78-1156324A54F2' # not real, only to show how it looks like
json = {
"body": {
"contentType": 'html',
"content": f'i dunno what i\'m doing. <attachment id="{attachment_id}"></attachment>'
},
'attachments': [
{
'id': attachment_id,
'contentType': 'reference',
'contentUrl': 'https://foo.sharepoint.com/sites/bar/User%20documentation/Databricks/Databricks%20guide.pptx',
'name': 'Databricks guide.pptx'
}
]
}
I get requests.exceptions.HTTPError: 400 Client Error: Bad Request for url
What's wrong with the code? How to get attachment id from a file correctly because I am not sure I got the right value?

I was able to get it working with your code, (using both formats <attachment id=\"\"> and <attachment id="">), so it seems the error is probably with your attachment_id.
I retrieved the driveItem ID by following this answer, where the driveItem ID is the GUID value in the eTag property in the response.
You could get the file by the path:
https://graph.microsoft.com/v1.0/sites/{site-id}/drive/root:/{item-path}
For example:
https://graph.microsoft.com/v1.0/sites/{site-id}/drive/root:/test.docx
If the file is in a folder, it would be like this:
https://graph.microsoft.com/v1.0/sites/{site-id}/drive/root:/folder1/test.docx
Sample request after obtaining the ID
access_token = ""
attachment_name = "file.txt"
attachment_path = "https://domain.sharepoint.com/Shared%20Documents"
attachment_id = "12345678-1234-1234-1234-123456789123"
attachment_url = f"{attachment_path}/{attachment_name}"
chat_id = ""
req_url = f"https://graph.microsoft.com/v1.0/chats/{chat_id}/messages"
req_headers = {
"Authorization": "Bearer " + access_token,
"Content-Type": "application/json"
}
json = {
"body": {
"contentType": "html",
"content": f"Test message <attachment id=\"{attachment_id}\"></attachment>"
},
"attachments": [
{
"id": attachment_id,
"contentType": "reference",
"contentUrl": attachment_url,
"name": attachment_name
}
]
}
result = requests.post(url = req_url, headers = req_headers, json = json)

Add new contact in Xero using python FASTAPI

I am trying to add a new contact in Xero using python FASTAPI:
define a new contact
contact = {
"Contacts": [
{
"Name": "24 locks",
"FirstName": "Ben",
"LastName": "Bowden",
"EmailAddress": "ben.bowden#24locks.com",
"ContactPersons": [
{
"FirstName": "John",
"LastName": "Smith",
"EmailAddress": "john.smith#24locks.com",
"IncludeInEmails": "true"
}
]
}
]
}
Call xero API
get_url = 'https://api.xero.com/api.xro/2.0/Contacts'
response = requests.post(get_url,
headers = {
'Authorization': 'Bearer ' + access_token,
'Xero-tenant-id': xero_tenant_id,
'Accept': 'application/json'
},
data = contact
)
json_response = response.json()
I get the following error:
{'ErrorNumber': 17, 'Type': 'NoDataProcessedException', 'Message': 'No data has been processed for this endpoint. This endpoint is expecting Contact data to be specifed in the request body.'}
Someone can help please ?
You can assume that access_token and xero_tenant_id are correct as I am using them for other methods and they works fine.
Thanks

Try to use json = contact instead of data = contact or set header 'Content-Type': 'application/json'
Because
data for dict When not specified content-type, The default is application/x-www-form-urlencoded,

TF400898: An Internal Error Occurred. Activity Id: 1fc05eca-fed8-4065-ae1a-fc8f2741c0ea

i’m trying to push files into git repo via azure API but getting activity_id error. I followed their documentation and trying to add simple file in my repo.
Here is my code:
import requests, base64
pat_token = "xxxx-xxxxx-xxxx"
b64Val = base64.b64encode(pat_token.encode()).decode()
payload = {
"refUpdates": [
{
"name": "refs/heads/main",
"oldObjectId": "505aae1f15ae153b7fc53e8bdb79ac997caa99e6"
}
],
"commits": [
{
"comment": "Added task markdown file.",
"changes": [
{
"changeType": "add",
"item": {
"path": "TimeStamps.txt"
},
"newContent": {
"content": "# Tasks\n\n* Item 1\n* Item 2",
"contentType": "rawtext"
}
}
]
}
]
}
headers = {
'Authorization': 'Basic %s' % b64Val,
'Content-Type': 'application/json',
}
params = (
('api-version', '6.0'),
)
response = requests.post('https://dev.azure.com/{organization}/{project}/_apis/git/repositories/{repo}/pushes', headers=headers, data=payload, params=params)
Anyone knows how to solve this issue? I have also added this issue on their developer community

I’ve fixed that error, actually the payload was not in json format so i have to make it as json and after that it worked fine.
Like this
response = requests.post('https://dev.azure.com/{organization}/{project}/_apis/git/repositories/{repoId}/pushes', headers=headers, params=params, data=json.dumps(payload))

openstack cannot retrieve authentication token from API

I am trying to retrieve the authentication token from the API using requests library from python. Here is the attempt I have made so far:
def get_token():
data = {
"auth" : {
"identity" : {
"methods" : [ "password" ],
"password": {
"user" : {
"name" : OS_USERNAME,
"domain": { "name": "Default" },
"password": OS_PASSWORD
}
}
}
}
}
r = requests.post(
OS_AUTH_URL+'/auth/tokens',
headers = HEADERS,
json = data, # https://stackoverflow.com/questions/9733638
verify = False
)
print(r.content)
j = json.loads(r.content)
return j['token']['user']['id']
I get token in the response :
{
"token": {
"issued_at": "2018-07-03T11:03:59.000000Z",
"audit_ids": [
"Fg1ywtZBQ1CkigCw70If9g"
],
"methods": [
"password"
],
"expires_at": "2018-07-03T12:03:59.000000Z",
"user": {
"password_expires_at": null,
"domain": {
"id": "default",
"name": "Default"
},
"id": "e0dc5beb383a46b98dad824c5d76e719",
"name": "admin"
}
}
}
However, when I am reusing this token to get, for instance, the list of projects :
def get_tenantID():
r = requests.get(
OS_AUTH_URL+'/auth/projects',
headers = HEADERS,
verify = False
)
return r
r = get_token()
HEADERS['X-Auth-Project-Id'] = 'admin'
HEADERS['X-Auth-Token'] = r
r = get_tenantID()
I get this error as if I would not be authenticated:
<Response [401]>
{"error": {"message": "The request you have made requires authentication.", "code": 401, "title": "Unauthorized"}}
Googling around and using openstack token issue command showed me that usually, token are more like:
gAAAAABaCo1F1CIMVlsTBeuqYH8tm2qR29tbkmUL4vZuhCNPXJI39TQ2YzL6Twoj8fNcAyLe3WhCYW2O1YpbBF0G8mo4bt7Kf0IRsoDOoJ6uWa3RYyJ5SQNoB_5n8EnVXbKPxFYOZ_iFBnaVtL1_XDrGbwsrlDeyy8lZTDdLsqY52pUhFR-7Uow
which is not what I get with get_token.
What am I doing wrong?
Many thanks!

When you use the auth API directly, the token issued comes in the X-Subject-Token header.
Thus, to retrieve in your python example, you could access the response.headers dict like this:
token = r.headers['X-Subject-Token']
More info about authentication in the Keystone v3 docs

1. fetch authentication token as mentioned below:
r = requests.post(
OS_AUTH_URL+'/auth/tokens',
headers = HEADERS,
json = data,
verify = False
)
token = r.headers[X-Subject-Token]
2. Pass this token in header for further request:
{
'X-Auth-Token': token
}

how to feed data to Elasticseach as Integer using Python?

i am using this python script to feed my data to elasticsearch 6.0. How can i store the variable Value with type float in Elasticsearch?
I can't use the metric options for the visualization in Kibana, because all the data is stored automatically as string
from elasticsearch import Elasticsearch
Device=""
Value=""
for key, value in row.items():
Device = key
Value = value
print("Dev",Device, "Val:", Value)
doc = {'Device':Device, 'Measure':Value , 'Sourcefile':filename}
print(' doc: ', doc)
es.index(index=name, doc_type='trends', body=doc)
Thanks
EDIT:
After the advice of #Saul, i could fix this problem with the following code:
import os,csv
import time
from elasticsearch import Elasticsearch
#import pandas as pd
import requests
Datum = time.strftime("%Y-%m-%d_")
path = '/home/pi/Desktop/Data'
os.chdir(path)
name = 'test'
es = Elasticsearch()
#'Time': time ,
#url = 'http://localhost:9200/index_name?pretty'
doc = {
"mappings": {
"doc": {
"properties": {
"device": { "type": "text" },
"measure": { "type": "text" },
"age": { "type": "integer" },
"created": {
"type": "date",
"format": "strict_date_optional_time||epoch_millis"
}
}
}
}
}
#headers = {'Content-type': 'application/json', 'Accept': 'text/plain'}
#r = requests.post(url, data=json.dumps(data), headers=headers)
r= es.index(index=name, doc_type='trends', body=doc)
print(r)

You need to send a HTTP Post request using python request, as follows:
url = "http://localhost:9200/index_name?pretty”
data = {
"mappings": {
"doc": {
"properties": {
"title": { "type": "text" },
"name": { "type": "text" },
"age": { "type": "integer" },
"created": {
"type": "date",
"format": "strict_date_optional_time||epoch_millis"
}
}
}
}
}
headers = {'Content-type': 'application/json', 'Accept': 'text/plain'}
r = requests.post(url, data=json.dumps(data), headers=headers)
Please replace index_name in the URL with the name of the index you are defining in to elasticsearch engine.
If you want to delete the index before creating it again, please do as follows:
url = "http://localhost:9200/index_name”
data = { }
headers = {'Content-type': 'application/json', 'Accept': 'text/plain'}
r = requests.delete(url, data=json.dumps(data), headers=headers)
please replace index_name in the URL with your actual index name. After deleting the index, create it again with the first code example above including the mappings that you would need. Enjoy.

Elasticsearch defines field types in the index mapping. It looks like you probably have dynamic mapping enabled, so when you send data to Elasticsearch for the first time, it makes an educated guess about the shape of your data and the field types.
Once those types are set, they are fixed for that index, and Elasticsearch will continue to interpret your data according to those types no matter what you do in your python script.
To fix this you need to either:
Define the index mapping before you load any data. This is the better option as it gives you complete control over how your data is interpreted. https://www.elastic.co/guide/en/elasticsearch/reference/6.0/mapping.html
Make sure that, the first time you send data into the index, you use the correct data types. This will rely dynamic mapping generation, but it will typically do the right thing.
Defining the index mapping is the best option. It's common to do that once off, in Kibana or with curl, or if you create a lot of indices, with a template.
However if you want to use python, you should look at the create or put_mapping functions on IndicesClient