We have a json object named application that is stored in the camunda context. In the dmn decision model, I want to use the field value from the stored json object as input expression in the dmn to evaluate the rule.
Json model looks like this:
{
"applicants": [
{
"age": 58,
"city": "Vallda",
"id": "1002406-1",
"mainapplicant": true
},
{
"age": 59,
"city": "Vallda",
"id": "1002406-2",
"mainapplicant": false
}
],
"groupnbr": 120,
"rate": 0.041
}
I have tried javascript expression like:
var mainApplicant = application.applicants[0];
mainApplicant.city;
But this is not working.
Please suggest how can I use the field city from the first element in the array of applicants In java e.g. I could use:
application.applicants.get(0).city
Use a FEEL expression in the DMN input to get the value.
${application.applicants.get(0).city}
Related
I am setting up a flow to organize and save emails as PDF in a Dropbox folder. The first email that will arrive includes a 10 digit identification number which I extract along with an address. My flow creates a folder in Dropbox named in this format: 2023568684 : 123 Main St. Over a few weeks, additional emails arrive that I need to put into that folder. The subject always has a 10 digit number in it. I was building around each email and using functions like split, first, last, etc. to isolate the 10 digits ID. The problem is that there is no consistency in the subjects or bodies of the messages to be able to easily find the ID with that method. I ended up starting to build around each email format individually but there are way too many, not to mention the possibility of new senders or format changes.
My idea is to use List files in folder when a new message arrives which will create an array that I can filter to find the folder ID the message needs to be saved to. I know there is a limitation on this because of the 20 file limit but that is a different topic and question.
For now, how do I find a random 10 digit number in a randomly formatted email subject line so I can use it with the filter function?
For this requirement, you really need regex and at present, PowerAutomate doesn't support the use of regex expressions but the good news is that it looks like it's coming ...
https://powerusers.microsoft.com/t5/Power-Automate-Ideas/Support-for-regex-either-in-conditions-or-as-an-action-with/idi-p/24768
There is a connector but it looks like it's not free ...
https://plumsail.com/actions/request-free-license
To get around it for now, my suggestion would be to create a function app in Azure and let it do the work. This may not be your cup of tea but it will work.
I created a .NET (C#) function with the following code (straight in the portal) ...
#r "Newtonsoft.Json"
using System.Net;
using Microsoft.AspNetCore.Mvc;
using Microsoft.Extensions.Primitives;
using Newtonsoft.Json;
public static async Task<IActionResult> Run(HttpRequest req, ILogger log)
{
string requestBody = await new StreamReader(req.Body).ReadToEndAsync();
dynamic data = JsonConvert.DeserializeObject(requestBody);
string strToSearch = System.Text.Encoding.UTF8.GetString(Convert.FromBase64String((string)data?.Text));
string regularExpression = data?.Pattern;
var matches = System.Text.RegularExpressions.Regex.Matches(strToSearch, regularExpression);
var responseString = JsonConvert.SerializeObject(matches, new JsonSerializerSettings()
{
ReferenceLoopHandling = ReferenceLoopHandling.Ignore
});
return new ContentResult()
{
ContentType = "application/json",
Content = responseString
};
}
Then in PowerAutomate, call the HTTP action passing in a base64 encoded string of the content you want to search ...
The is the expression in the JSON ... base64(variables('String to Search')) ... and this is the json you need to pass in ...
{
"Text": "#{base64(variables('String to Search'))}",
"Pattern": "[0-9]{10}"
}
This is an example of the response ...
[
{
"Groups": {},
"Success": true,
"Name": "0",
"Captures": [],
"Index": 33,
"Length": 10,
"Value": "2023568684"
},
{
"Groups": {},
"Success": true,
"Name": "0",
"Captures": [],
"Index": 98,
"Length": 10,
"Value": "8384468684"
}
]
Next, add a Parse JSON action and use this schema ...
{
"type": "array",
"items": {
"type": "object",
"properties": {
"Groups": {
"type": "object",
"properties": {}
},
"Success": {
"type": "boolean"
},
"Name": {
"type": "string"
},
"Captures": {
"type": "array"
},
"Index": {
"type": "integer"
},
"Length": {
"type": "integer"
},
"Value": {
"type": "string"
}
},
"required": [
"Groups",
"Success",
"Name",
"Captures",
"Index",
"Length",
"Value"
]
}
}
Finally, extract the first value that you find which matches the regex pattern. It returns multiple results if found so if you need to, you can do something with those.
This is the expression ... #{first(body('Parse_JSON'))?['value']}
From this string ...
We're going to search for string 2023568684 within this text and we're also going to try and find 8384468684, this should work.
... this is the result ...
Don't have a Premium PowerAutomate licence so can't use the HTTP action?
You can do this exact same thing using the LogicApps service in Azure. It's the same engine with some slight differences re: connectors and behaviour.
Instead of the HTTP, use the Azure Functions action.
In relation to your action to fire when an email is received, in LogicApps, it will poll every x seconds/minutes/hours/etc. rather than fire on event. I'm not 100% sure which email connector you're using but it should exist.
Dropbox connectors exist, that's no problem.
You can export your PowerAutomate flow into a LogicApps format so you don't have to start from scratch.
https://learn.microsoft.com/en-us/azure/logic-apps/export-from-microsoft-flow-logic-app-template
If you're concerned about cost, don't be. Just make sure you use the consumption plan. Costs only really rack up for these services when the apps run for minutes at a time on a regular basis. Just keep an eye on it for your own mental health.
TO get the function URL, you can find it in the function itself. You have to be in the function ...
I am using Django 2.2 and postgres
I have a jsonb field called actions
And this is test value
actions={
"accept": [
{
"id": 123, # some random action id
"created": "{:%Y-%m-%dT%H:%M:%S.%f%z}".format(datetime.now()),
"user_id": 247, # some random user id
}
]
},
SO I want to use values_list and annotate. I do not know how to just get the actions.accept.0.created
WHat I tried
.annotate(first_accept=KeyTextTransform(0, KeyTextTransform("accept", "quotation__actions")))
This fails. I get the error
django.db.utils.DataError: invalid input syntax for integer: "accept"
LINE 1: ...te_type", ("sometable"."actions" #>> ARRAY['accept',0..
.annotate(accept_actions=KeyTextTransform("accept", "quotation__actions"))
This works but it gives me
'[{"id": 123, "created": "2020-10-16T12:28:16.452071", "user_id": 247}]' as a string.
I can subsequently parse that string yes, but I prefer to directly access the created of the first element of the array.
How do I do that?
I am trying to get the value for the first group match of a pattern entity from the json response of Watson Assistant. The pattern is a simple regex to recognize sequences of numbers: ([0-9]+)
The json response looks like this:
"entity": "ID",
"location": [
18,
23
],
"value": "id",
"confidence": 1.0,
"groups": [
{
"group": "group_0",
"location": [
18,
23
]
}
]
},
{
"entity": "sys-number",
"location": [
18,
23
],
"value": "12345",
"confidence": 1.0,
"metadata": {
"numeric_value": 12345.0
}
}
]
So, the group is matched alright, but the field "value" is populated with the String literal from the entity config. I would expected to find the actual value there (which is the one the value field of the next entity, sys-number).
How do I need to change the config so that the value is included as-is in the value field (or somewhere else) and so that I don't have to extract the entity from the text string using the location values? Is it possible at all?
Thanks a lot
Cheers,
Martin
To access value of pattern based entity, you can either use <? #entity_name.literal ?> or <? #entity_name.groups[0] ?> - if there are more groups captured. You can find more info in the doc: https://cloud.ibm.com/docs/services/assistant?topic=assistant-entities
I have a JSON with format variables in it, similar to string format, and I'd like to be able to load it with the variables replaced by actual values.
For example, if the JSON is:
[
{
"role": "President",
"name": "{first_name}",
"age": "{first_age}"
},
{
"role": "Vice President",
"name": "{second_name}",
"age": "{second_age}"
}
]
And the dictionary I'd like to format with is:
{"first_name": "Bob", "first_age": "50", "second_name": "Bill", "second_age": "35"}
I'd like to get:
[
{
"role": "President",
"name": "Bob",
"age": "50"
},
{
"role": "Vice President",
"name": "Bill",
"age": "35"
}
]
I tried converting the JSON to a string, using format, and then turning it back to a list of dictionaries:
from ast import literal_eval
literal_eval(str(raw_json).format(**json_params))
But the dictionaries' curly brackets confuse the format function and give me a KeyError exception. I suppose I could replace every pair of curly brackets which don't have a variable name between them with double curly brackets, but that's bound to go wrong and also not very Pythonic.
What would be the most elegant way to solve that issue?
What you are looking for is a templating engine.
Template is json string and data must be injected into this template.
Right tool to do that with python is jinja2
I have a Cloudant database with objects that use the following format:
{
"_id": "0ea1ac7d5ef28860abc7030444515c4c",
"_rev": "1-362058dda0b8680a818b38e9c68c5389",
"text": "text-data",
"time-data": "1452988105",
"time-text": "3:48 PM - 16 Jan 2016",
"link": "http://url/to/website"
}
I want to fetch objects where the text attribute is distinct. There will be objects with duplicate text and I want Cloudant to handle removing them from a query.
How do I go about creating a MapReduce view that will do this for me? I'm completely new to MapReduce and I'm having difficulty understanding the relationship between the map and reduce functions. I tried tinkering with the built-in COUNT function and writing my own view, but they've failed catastrophically, haha.
Anyways, would it be easier to just delete the duplicates? If so, how do I do that?
While I'm trying to study this and find ELI5s, would anyone help me out? Thanks in advance! I appreciate it.
I'm not sure a MapReduce view is what you are looking for. A MapReduce view will essentially allow you to get the text and the number of docs with that same text, but you really won't be able to get the rest of the fields in the doc (because MapReduce has no idea which doc to return when multiple docs match the text). Here is a sample MapReduce view:
{
"_id": "_design/textObjects",
"views": {
"by_text": {
"map": "function (doc) { if (doc.text) { emit(doc.text, 1); }}",
"reduce": "_count"
}
},
"language": "javascript"
}
What this is doing:
The Map part of the Map Reduce takes each doc and maps it into a doc that looks like this:
{"key":"text-data", "value":1}
So, if you had 7 docs, 2 where text="text-data" and 5 where text="other-text-data" the data would look like this:
{"key":"text-data", "value":1}
{"key":"text-data", "value":1}
{"key":"other-text-data", "value":1}
{"key":"other-text-data", "value":1}
{"key":"other-text-data", "value":1}
{"key":"other-text-data", "value":1}
{"key":"other-text-data", "value":1}
The reduce part of the MapReduce ("reduce": "_count") groups the docs above by the key and returns the count:
{"key":"text-data","value":2},
{"key":"other-text-data","value":5}
You can query this view on your Cloudant instance:
https://<yourcloudantinstance>/<databasename>
/_design/textObjects
/_view/by_text?group=true
This will result in something similar to the following:
{"rows":[
{"key":"text-data","value":2},
{"key":"other-text-data","value":5}
]}
If this is not what you are looking for, but rather you are just looking to keep the latest info for a specific text value then you can simply find an existing document that matches that text and update it with new values:
Add an index on text:
{
"index": {
"fields": [
"text"
]
},
"type": "json"
}
Whenever you add a new document find the document with that same exact text:
{
"selector": {
"text": "text-value"
},
"fields": [
"_id",
"text"
]
}
If it exists update it. If not then insert a new document.
Finally, if you want to keep multiple docs with the same text value, but just want to be able to query the latest you could do something like this:
Add a property called latest or similar to your docs.
Add an index on text and latest:
{
"index": {
"fields": [
"text",
"latest"
]
},
"type": "json"
}
Whenever you add a new document find the document with that same exact text where latest == true:
{
"selector": {
"text": "text-value",
"latest" : true
},
"fields": [
"_id",
"text",
"latest"
]
}
Set latest = false on the existing document (if one exists)
Insert the new document with latest = true
This query will find the latest doc for all text values:
{
"selector": {
"text": {"$gt":null}
"latest" : true
},
"fields": [
"_id",
"text",
"latest"
]
}