Ember serializer customization for alternate url - python

I am a newbie to ember. So here is what i faced. I got backend RESTAPI written in python/Django. It provides following json response on /api/works/
[
{
"id": 17,
"title": "about us",
"description": "some project",
"owner": "admin"
},
{
"id": 19,
"title": "test1 profit project",
"description": "dev null",
"owner": "test1"
}
]
also on detail view E.g:/api/works/17/:
{
"id": 17,
"title": "about us",
"description": "some project",
"owner": "admin"
}
there is also /api/works/17/tasks/ for listing work tasks
[
{
"id": 2,
"title": "secondWorkTask",
"description": "task2 description",
"due_date": "2016-09-26",
"assign": 1,
"project": "about us"
},
{
"id": 3,
"title": "some task name",
"description": "some task description",
"due_date": "2016-08-27",
"assign": 2,
"project": "about us"
}
]
on the front-end side i am using ember-cli version2.7.0 + ember-django-adapter. I can get /api/works without problem.
serializer on ember to get project:
export default DRFSerializer.extend({
normalizeFindAllResponse(store, primaryModelClass, payload, id, requestType) {
payload.data = payload;
return this._super(...arguments);
}
});
What i want to achieve is on the ember side when work detail url on the ember side(emberexample-app.com/app/17/) load, it must show all tasks. Currently i can get work detail by this url /api/works/17/ with above serializer. But how can i get tasks? Please help me to find a way to solve this.

The serializer are used to customize the loading and saving (or serialization and deserialization) of data.
To customize the URLs you must use an Adapter,(e.g. RESTAdapter is my most used adapter).
That will work in the case you want to create (urlForCreateRecord) or update (urlForUpdateRecord) tasks but it may not directly work if you just want to convert a work.get('tasks') following a belongsTo relationship to a GET http://endpoint/work/<work_id>/tasks, at least in my case it didn't "just work"ed.
A solution I found that works very well is adding a property links as a plain object to the parent objects that contains links to the different child models you want to retrieve as properties.
Something like this:
/* app/adapters/work.js */
import DS from 'ember';
export default DS.RESTSerializer({
normalize (model, hash, prop) {
hash.links = hash.links || {};
hash.links.tasks = this.buildURL(model, hash.id) + '/tasks';
return this._super(model, hash, prop);
}
});
In this example, when Ember try to get a tasks property from a work model, it will make a GET to the URL that work.links.tasks contains.

Related

Dataplex API Tag Policies

I'm on exploration Dataplex API with Python in Google Documentation, there is documentation to Get Lake, Zone, Assets, etc. I've explored that documentation, but I didn't find any documentation related to Tag Policies, for example, I need to attach my Tag Template and add Policy Tag to my BigQuery Table via API.
Is it possible to attach Tag Template and add Policy Tag into BigQuery Table via API?
Here is the link that I've explored:
Dataplex API Service
Dataplex API Metadata Service
Data Catalog API
for attaching tag templates to BigQuery table, first you will have to lookup the entry in dataplex using api
https://cloud.google.com/python/docs/reference/datacatalog/latest/google.cloud.datacatalog_v1.types.LookupEntryRequest
and then attach is to table using api
https://cloud.google.com/python/docs/reference/datacatalog/latest/google.cloud.datacatalog_v1.types.CreateTagRequest
here's sample code, this creates tag template and also attaches it to table in same code base
https://cloud.google.com/data-catalog/docs/samples/data-catalog-quickstart
and to attach policy, use this api
https://cloud.google.com/python/docs/reference/datacatalog/latest/google.cloud.datacatalog_v1.types.CreatePolicyTagRequest
hope this helps
again.
To simulate the pythonic api's behaviour, I used google cloud api explorer to explain in detail. see below.
The entry lookup is to search for object(s) you want to attach a tag/tag templates
Basically here's how I simulated the api calls using api explorer
To attach a tag to a BigQuery table, first step is to search the table up using Datacatalog api url below
LookupEntryRequest
The parameters I passed to get below response is
sqlResource: "bigquery.table.myproject.zz_DataSet.tblOne"
Above should give you output as
{
"name": "projects/myproject/locations/australia-southeast2/entryGroups/#bigquery/entries/mykey",
"type": "TABLE",
"schema": {
"columns": [
{
"type": "STRING",
"mode": "NULLABLE",
"column": "firstname"
},
{
"type": "STRING",
"mode": "NULLABLE",
"column": "lastname"
}
]
},
"sourceSystemTimestamps": {
"createTime": "2023-01-16T04:22:49.397Z",
"updateTime": "2023-01-16T04:22:49.397Z"
},
"linkedResource": "//bigquery.googleapis.com/projects/myproject/datasets/zz_DataSet/tables/tblOne",
"bigqueryTableSpec": {
"tableSourceType": "BIGQUERY_TABLE"
},
"usageSignal": {
"updateTime": "2023-02-05T07:59:59.928Z",
"usageWithinTimeRange": {
"30D": {
"totalCompletions": 7,
"totalFailures": 1,
"totalExecutionTimeForCompletionsMillis": 7385
}
}
},
"integratedSystem": "BIGQUERY",
"fullyQualifiedName": "bigquery:myproject.zz_DataSet.tblOne"
}
The search gives you ability to query multiple tables or attach tags at Dataset level too, see parameters section on link above.
This is why I suggest you use entry look up first as its more scalable code.
API Call two: This is how i simulated the attach tag to resource. If you go to link below
CreateTagRequest
As an example: I pre created an tag template from console and then used the template-id value to pass as a parameter to the request
Input:
parent: projects/myproject/locations/australia-southeast2/entryGroups/#bigquery/entries/mykey from above name element
request body:
{
"template": "projects/myproject/locations/australia-southeast1/tagTemplates/api_call_test_tag_template",
"fields": {
"name": {
"stringValue": "apitestcall"
}
}
}
Output:
Below is the response generated and if you see in data catalog console, you will see bigquery table with the tag template attached to it with value to name field as "apitestcall" attached to it. see image attached
{
"name": "projects/myproject/locations/australia-southeast2/entryGroups/#bigquery/entries/mykey/tags/tagsKey",
"template": "projects/myproject/locations/australia-southeast1/tagTemplates/api_call_test_tag_template",
"fields": {
"name": {
"displayName": "name",
"stringValue": "apitestcall"
}
},
"templateDisplayName": "api-call-test-tag-template"
}
Finally, please do make sure you have all the correct IAM permissions required for this task.

Create modal in slack using python

I am using the python slack bolt. https://api.slack.com/start/building/bolt-python#create
I created the example in the link and was able to make a home tab page but I want to create a modal from a message in a channel, not a home page view. I have looked everywhere for a basic example but I can't get any MODALS to work with what I have learned from slack's own documentation. This is the only examples I can find (which came from slack's own documentation after you read the starting out page).
Here is the test example that works but shows up with a home page instead of a modal:
SLACK_BOT_TOKEN="slackbottokenstring"
SLACK_SIGNING_SECRET="slacksigningsecretstring"
import os
# Use the package we installed
from slack_bolt import App
# Initializes your app with your bot token and signing secret
app = App(
token = SLACK_BOT_TOKEN,
signing_secret = SLACK_SIGNING_SECRET
# token=os.environ.get("SLACK_BOT_TOKEN"),
# signing_secret=os.environ.get("SLACK_SIGNING_SECRET")
)
# Add functionality here
#app.event("app_home_opened")
def update_home_tab(client, event, logger):
try:
# views.publish is the method that your app uses to push a view to the Home tab
client.views_publish(
# the user that opened your app's app home
user_id=event["user"],
# the view object that appears in the app home
view={
"type": "home",
"callback_id": "home_view",
# body of the view
"blocks": [
{
"type": "section",
"text": {
"type": "mrkdwn",
"text": "*Welcome to your _App's Home_* :tada:"
}
},
{
"type": "divider"
},
{
"type": "section",
"text": {
"type": "mrkdwn",
"text": "This button won't do much for now but you can set up a listener for it using the `actions()` method and passing its unique `action_id`. See an example in the `examples` folder within your Bolt app."
}
},
{
"type": "actions",
"elements": [
{
"type": "button",
"text": {
"type": "plain_text",
"text": "Click me!"
}
}
]
}
]
}
)
except Exception as e:
logger.error(f"Error publishing home tab: {e}")
# Start your app
if __name__ == "__main__":
app.start(port=int(os.environ.get("PORT", 3000)))
And that works:
But if I try to change it to a modal, it fails:
CODE:
#app.event("app_home_opened")
def update_home_tab(client, event, logger):
try:
# views.publish is the method that your app uses to push a view to the Home tab
client.views_publish(
# the user that opened your app's app home
user_id=event["user"],
# the view object that appears in the app home
view={
"type": "modal",
"callback_id": "modal-identifier",
"title": {
"type": "plain_text",
"text": "Just a modal"
},
"blocks": [
{
"type": "section",
"block_id": "section-identifier",
"text": {
"type": "mrkdwn",
"text": "*Welcome* to ~my~ Block Kit _modal_!"
},
"accessory": {
"type": "button",
"text": {
"type": "plain_text",
"text": "Just a button",
},
"action_id": "button-identifier",
}
}
],
}
)
Error:
127.0.0.1 - - [14/Aug/2022 15:21:15] "POST /slack/events HTTP/1.1" 200 -
Error publishing home tab: The request to the Slack API failed. (url: https://www.slack.com/api/views.publish)
The server responded with: {'ok': False, 'error': 'invalid_arguments', 'response_metadata': {'messages': ['[ERROR] failed to match all allowed schemas [json-pointer:/view]', '[ERROR] unsupported type: modal [json-pointer:/view/type]']}}
I am following the view structure design in a json object like it says here: https://api.slack.com/surfaces/modals/using#composing_views
I figured out what I had to do but it was kinda annoying, I want to just say that first. There are a couple reasons as to why it was annoying to figure out.
There is no direct python example from the website, BUT slack does have a github where they show a modal example.
Using specifically Modals require than just making text blocks in a chat. It requires some weird thing called a trigger_id which you get from initiating a specific response that would cause slack to send an object over to your endpoint. The problem is that there is no example of this. If you are going through slack's tutorial, they ONLY show you how to create a url for making a bot that event listens and responds to messages. You can make your own url using flask but since I am using the bolt slack module, they wrap there own stuff around flask which makes it hard to make basic decorators for flask. - In other words, the slack documentation is super confusing for modals and they don't have any real examples for modals with bolt python.
after doing days of research in my spare time, I was finally able to get an example working where you can COPY AND PASTE this code. You just need your bot token secret and signing key which you can set in your environment or as a string if you are just testing around in your local computer.
SLACK_BOT_TOKEN="slackbottokenstring"
SLACK_SIGNING_SECRET="slacksigningsecretstring"
import os
# Use the package we installed
from slack_bolt import App
from slack_bolt.adapter.flask import SlackRequestHandler
from flask import Flask, request
flask_app = Flask(__name__)
# Initializes your app with your bot token and signing secret
app = App(
token = SLACK_BOT_TOKEN,
signing_secret = SLACK_SIGNING_SECRET
# token=os.environ.get("SLACK_BOT_TOKEN"),
# signing_secret=os.environ.get("SLACK_SIGNING_SECRET")
)
handler = SlackRequestHandler(app)
#flask_app.route("/slack/events", methods=["POST"])
def slack_events():
return handler.handle(request)
#app.shortcut("SearchMessagesID")
def handle_shortcuts(ack, body, logger,client):
ack()
logger.info(body)
print(body)
res = client.views_open(
trigger_id=body["trigger_id"],
view={
"type": "modal",
"callback_id": "modal-identifier",
"title": {
"type": "plain_text",
"text": "Just a modal"
},
"blocks": [
{
"type": "section",
"block_id": "section-identifier",
"text": {
"type": "mrkdwn",
"text": "*Welcome* to ~my~ Block Kit _modal_!"
},
"accessory": {
"type": "button",
"text": {
"type": "plain_text",
"text": "Just a button",
},
"action_id": "button-identifier",
}
}
],
}
)
# Start your app
if __name__ == "__main__":
app.start(port=int(os.environ.get("PORT", 3000)))

pymsteams. I need to mention a person in message sent by pymsteams. How to do it?

I have installed and connected pymsteams to a channel and able to send messages. I read documentation but didn't find anything related to how to send message with mentioning a person as #me -> mentioning a person in a teams.
that's a beginning of my code:
import pymsteams;
myMessage = pymsteams.connectocard("webhookurl")
.... // here is a logic
myMessage.send()
I believe you can use an AC card. Here is a detailed explanation where I learned it.
There is an issue thread on github requesting exactly this kind of functionality
https://github.com/rveachkc/pymsteams/issues/11
and there is a comment that presents a temporary solution, which is to manually modify the payload attribute of the connectorcard object. This worked for me.
teams_message = pymsteams.connectorcard(webhook)
teams_message.payload = {
"type": "message",
"attachments": [
{
"contentType": "application/vnd.microsoft.card.adaptive",
"content": {
"type": "AdaptiveCard",
"body": [
{
"type": "TextBlock",
"text": "Hello <at>Leonardo</at>"
}
],
"$schema": "http://adaptivecards.io/schemas/adaptive-card.json",
"version": "1.0",
"msteams": {
"entities": [
{
"type": "mention",
"text": "<at>Leonardo</at>",
"mentioned": {
"id": "leonardo.benitez#contorso.com",
"name": "Leonardo Benitez"
}
}
]
}
}
}]
}
teams_message.send()
The code snippet, thanks to the author for providing it.

Can i build an application in python that will auto populate docusign fields from a google sheet?

I use docusign every day and have set up a google sheet that auto populates the email subject and body.
I'm still having to copy and paste this data into the 'email subject' & 'email message'. See screenshot example.
Is there a way i can reduce this process to the click of a button?
Absolutely. Here's are two rough flows that would be helpful to pursue.
You could make use of the Google Apps Script to push data directly to DocuSign. Downside here is that you'd be writing the code in JavaScript.
You can write a short python app yourself, which uses the Google Sheets API (via python sdk) to retrieve your data, then pass along the appropriate info to the DocuSign eSignature API (via python sdk).
In either case, once you have access to the data you wish to forward to DocuSign, you will want to first authenticate your account to make API requests on your behalf.
Then you can make a request like this:
POST /envelopes
{
"emailSubject": "Please sign these documents",
"emailBlurb": "Thank you for subscribing. Click the link to sign",
"documents": [
{
"documentBase64": "JVBER...iUlRU9GCg==",
"name": "Test Doc",
"fileExtension": "pdf",
"documentId": "1"
}
],
"recipients": {
"signers": [
{
"email": "test#test.com",
"name": "Test User",
"recipientId": "1",
"routingOrder": "1",
"tabs": {
"numberTabs": [
{
"tabLabel": "PO #",
"locked": "false",
"xPosition": "200",
"yPosition": "200",
"documentId": "1",
"pageNumber": "1"
}
]
}
}
]
},
"status": "sent"
}

PyMongo - "language override unsupported: C++" when creating index

I have the collection posts that contains posts that look something like this
{
"_id": "5ae37fd270f3e72399988198",
"moderator": {
"flagged": false,
"reviewed": true,
"pending": false,
"time": "2018-04-27 20:34:38.099000",
"account": "samhamou"
},
"author": "cryptohazard",
"permlink": "security-enhancements-for-steem-messenger",
"title": "Security enhancements for Steem Messenger",
"repository": {
"owner": {
"login": "kingswisdom"
},
"fork": false,
"html_url": "https:\/\/github.com\/kingswisdom\/SteemMessenger",
"full_name": "kingswisdom\/SteemMessenger",
"name": "SteemMessenger",
"id": 127418766
}
}
I am trying to create an index on the collection in one of my Python files with the following code
posts = DB.posts
posts.drop_indexes()
posts.create_index([
("author", "text"),
("moderator.account", "text"),
("repository.full_name", "text")
])
but this is giving me the following error:
pymongo.errors.OperationFailure: language override unsupported: C++
How can I prevent this from happening? I can create the indexes using code found in the answers of this question:
> db.posts.createIndex({
"moderator.account": "text",
author: "text",
"repository.full_name": "text"
}, {
"language_override": "en"
});
However I want to be able to do it from within my Python script instead of having to do it from the MongoDB shell. I tried finding a way to add the "language_override": "en" option from within my Python script, but this doesn't seem possible when checking the documentation for create_index.

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