I am trying to create a issue in Jira with description containing a dataframe ,i am trying to display the dataframe data in table style but it looks like below when issue is created,display of header is not matching with values
enter image description here
description='''{0} '''.format(df)
I've a method in https://github.com/dren79/JiraScripting_public - https://github.com/dren79/JiraScripting_public/blob/main/create_jira_tickets/create_fancy_jira_issue.py that will do the job for you. Use the below code (from https://developer.atlassian.com/cloud/jira/platform/apis/document/playground/) and substitute "superDataFrame" with your dataframe, you might also have need of https://pypi.org/project/tabulate/, that could format the table nicely?
{
"version": 1,
"type": "doc",
"content": [
{
"type": "paragraph",
"content": [
{
"type": "text",
"text": "This is my fancy description."
}
]
},
{
"type": "paragraph",
"content": [
{
"type": "text",
"text": "I’m going to put my dataframe in here:"
}
]
},
{
"type": "codeBlock",
"attrs": {
"language": "python"
},
"content": [
{
"type": "text",
"text": "superDataFrame"
}
]
}
]
}
Related
I am trying to build schema from my json response. and I am trying to access only content from schema builder, I don't want to access any other data from it.
full_response
{
"$schema": "http://json-schema.org/schema#",
"anyOf": [
{
"type": "object"
},
{
"type": "array",
"items": {
"type": "object",
"properties": {
"response": {
"type": "integer"
},
"content": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "integer"
},
"title": {
"type": "string"
},
},
"required": [
"id",
"title"
]
}
}
},
"required": [
"content",
"response"
]
}
}
]
}
as you can see in response it shows all the data and I want to access only of content. But when I do it like
builder.add_schema({"type": "object", "properties": {},accitionalProperties": False})
builder.add_object(json)
builder.to_schema()
I have also tried by defining it like
builder.to_schema().content
but it says
AttributeError: 'str' object has no attribute 'content'
It is still showing everything.
I have tried many times but it still not showing. Any help would be much Appreciated. Thank You in Advance.
I'm trying to work with the Campaign Monitor API, posting JSON data through the API to update subscriber lists. I'm currently one change away from being able to send data,
Right now, my JSON data looks like this
{
"EmailAddress": "subscriber1#example.com",
"Name": "New Subscriber One",
"CustomFields": [
{
"Key": "website",
"Value": "http://example.com"
},
{
"Key": "interests",
"Value": "magic"
},
{
"Key": "interests",
"Value": "romantic walks"
},
{
"Key": "age",
"Value": "",
"Clear": true
}
],
},
{
"EmailAddress": "subscriber2#example.com",
"Name": "New Subscriber Two",
},
{
"EmailAddress": "subscriber3#example.com",
"Name": "New Subscriber Three",
}
}
I still need to add a new key value at the beginning of the JSON payload, incorporating the 'Subscribers' : my_json_data. How would I go about easily adding on the Subscribers key and placing my full and current json data into a list?
Final result should look like
{
'Subscribers' : [
{
"EmailAddress": "subscriber1#example.com",
"Name": "New Subscriber One",
"CustomFields": [
{
"Key": "website",
"Value": "http://example.com"
},
{
"Key": "interests",
"Value": "magic"
},
{
"Key": "interests",
"Value": "romantic walks"
},
{
"Key": "age",
"Value": "",
"Clear": true
}
],
},
{
"EmailAddress": "subscriber2#example.com",
"Name": "New Subscriber Two",
},
{
"EmailAddress": "subscriber3#example.com",
"Name": "New Subscriber Three",
}
}
]
}
I've tried to approach this with creating a new dictionary however when I convert that back to JSON I get more issues and headaches. Is there any easy way to keep everything as a JSON formatted dataset and add in the leading 'Subscribers' key?
this should do it assuming you've got a valid JSON.
your_new_json = {}
your_new_json['Subscribers'] = [your_current_json]
I have a basic Elasticsearch index that consists of a variety of help articles. Users can search for them in my Python/Django app.
The index has the following mappings:
{
"mappings": {
"properties": {
"body": {
"type": "text"
},
"category": {
"type": "nested",
"properties": {
"category_id": {
"type": "long"
},
"category_title": {
"fields": {
"keyword": {
"ignore_above": 256,
"type": "keyword"
}
},
"type": "text"
}
}
},
"title": {
"type": "keyword"
},
"date_updated": {
"type": "date"
},
"position": {
"type": "integer"
}
}
}
}
I basically want the user to be able to search for a query and get any results that match the article title or category.
Say I have an article called "I Can't Remember My Password" in the "Your Account" category.
If I search for the article title exactly, I see the result. If I search for the category title exactly, I also see the result.
But if I search for just "password", I get nothing. What do I need to change in my setup/query to make it so that this query (or similarly non-exact queries) also returns the result?
My query looks like:
{
"query": {
"bool": {
"should": [{
"multi_match": {
"fields": ["title"],
"query": "password"
}
},
{
"nested": {
"path": "category",
"query": {
"multi_match": {
"fields": ["category.category_title"],
"query": "password"
}
}
}
}
]
}
}
}
I have read other questions and experimented with various settings but no luck so far. I am not doing anything particularly special at index time in terms of preparing the fields so I don't know if that's something to look at. I'm just using the elasticsearch-dsl defaults.
The solution was to reindex the title field as text rather than keyword. The latter only allows exact matching.
Credit to LeBigCat for pointing that out in the comments. They haven't posted it as an answer so I'm doing it on their behalf to improve visibility.
I'm setting up a Python function to use the Surveymonkey API to get survey responses from Surveymonkey.
The API returns responses in a JSON format with a deep recursive file structure.
I'm having issues trying to flatten this JSON so that it can go into Google Cloud Storage.
I have tried to flatten the response using the following code. Which works; however, it does not transform it to the format that I am looking for.
{
"per_page": 2,
"total": 1,
"data": [
{
"total_time": 0,
"collection_mode": "default",
"href": "https://api.surveymonkey.com/v3/responses/5007154325",
"custom_variables": {
"custvar_1": "one",
"custvar_2": "two"
},
"custom_value": "custom identifier for the response",
"edit_url": "https://www.surveymonkey.com/r/",
"analyze_url": "https://www.surveymonkey.com/analyze/browse/",
"ip_address": "",
"pages": [
{
"id": "73527947",
"questions": [
{
"id": "273237811",
"answers": [
{
"choice_id": "1842351148"
},
{
"text": "I might be text or null",
"other_id": "1842351149"
}
]
},
{
"id": "273240822",
"answers": [
{
"choice_id": "1863145815",
"row_id": "1863145806"
},
{
"text": "I might be text or null",
"other_id": "1863145817"
}
]
},
{
"id": "273239576",
"answers": [
{
"choice_id": "1863156702",
"row_id": "1863156701"
},
{
"text": "I might be text or null",
"other_id": "1863156707"
}
]
},
{
"id": "296944423",
"answers": [
{
"text": "I might be text or null"
}
]
}
]
}
],
"date_modified": "1970-01-17T19:07:34+00:00",
"response_status": "completed",
"id": "5007154325",
"collector_id": "50253586",
"recipient_id": "0",
"date_created": "1970-01-17T19:07:34+00:00",
"survey_id": "105723396"
}
],
"page": 1,
"links": {
"self": "https://api.surveymonkey.com/v3/surveys/123456/responses/bulk?page=1&per_page=2"
}
}
answers_df = json_normalize(data=response_json['data'],
record_path=['pages', 'questions', 'answers'],
meta=['id', ['pages', 'questions', 'id'], ['pages', 'id']])
Instead of returning a row for each question id, I need it to return a column for each question id, choice_id, and text field.
The columns I would like to see are total_time, collection_mode, href, custom_variables.custvar_1, custom_variables.custvar_2, custom_value, edit_url, analyze_url, ip_address, pages.id, pages.questions.0.id, pages.questions.0.answers.0.choice_id, pages.questions.0.answers.0.text, pages.questions.0.answers.0.other_id
Instead of the each Question ID, Choice_id, text and answer being on a separate row. I would like a column for each one. So that there is only 1 row per survey_id or index in data
How can I build a config file that has a python model in json format that maps to the csv column name?
My plan is when a json data comes in, it will look into this config file, map the data's field with the config's json field, then get the csv column name. Example as below:
First I have a json as below:
{
"id": {
"type": "integer",
"format": "int64"
},
"category": {
"$ref": "#/definitions/Category",
"x-scope": [
"https://petstore.swagger.io/v2/swagger.json"
]
},
"name": {
"type": "string",
"example": "doggie"
},
"photoUrls": {
"type": "array",
"xml": {
"name": "photoUrl",
"wrapped": true
},
"items": {
"type": "string"
}
},
"tags": {
"type": "array",
"xml": {
"name": "tag",
"wrapped": true
},
"items": {
"$ref": "#/definitions/Tag",
"x-scope": [
"https://petstore.swagger.io/v2/swagger.json"
]
}
},
"status": {
"type": "string",
"description": "pet status in the store",
"enum": [
"available",
"pending",
"sold"
]
}
}
Then I have csv column name as below:
id, category, name, photoUrls, tags, status
Now I want a config file which has mapping of this 2 field and probably some settings like delimiter type , etc.
How can I achieve that using python?