Checking null object from JSON response in Python - python

I have the following code, and it works. I am checking if a JSON object has a full field and does not contain the underlying fields (Jira API, if you're interested). Is there a more concise way of writing the for loop?
myResponse = requests.get(url,auth=(urlUser,urlPass))
jd = myResponse.json()
myVals = jd['issues']
print(myVals[0].keys())
for issue in myVals:
if issue['fields']['assignee'] is not None:
assignee = issue['fields']['assignee']['displayName']
else:
assignee = "Unassigned"

You can use dict.get with fallback dictionary:
>>> issues = {'fields': {'assignee': None}}
>>> issues['fields']['assignee'] or {} # fallback to an empty dictionary
{}
>>> (issues['fields']['assignee'] or {}).get('displayName', 'Unassigned')
'Unassigned'
for issue in myVals:
assignee = (issue['fields']['assignee'] or {}).get('displayName', 'Unassigned')
OR define fallback dictionary like below:
UNASSIGNED = {'displayName': 'Unassigned'}
for issue in myVals:
assignee = (issue['fields']['assignee'] or UNASSIGNED)['displayName']

Related

Django ORM, how to use values() and still work with choicefield?

I am using django v1.10.2
I am trying to create dynamic reports whereby I store fields and conditions and the main ORM model information into database.
My code for the generation of the dynamic report is
class_object = class_for_name("app.models", main_model_name)
results = (class_object.objects.filter(**conditions_dict)
.values(*display_columns)
.order_by(*sort_columns)
[:50])
So main_model_name can be anything.
This works great except that sometimes associated models of the main_model have choicefield.
So for one of the reports main_model is Pallet.
Pallet has many PalletMovement.
My display columns are :serial_number, created_at, pallet_movement__location
The first two columns are fields that belong to Pallet model.
The last one is from PalletMovement
What happens is that PalletMovement model looks like this:
class PalletMovement(models.Model):
pallet = models.ForeignKey(Pallet, related_name='pallet_movements',
verbose_name=_('Pallet'))
WAREHOUSE_CHOICES = (
('AB', 'AB-Delaware'),
('CD', 'CD-Delaware'),
)
location = models.CharField(choices=WAREHOUSE_CHOICES,
max_length=2,
default='AB',
verbose_name=_('Warehouse Location'))
Since the queryset will return me the raw values, how can I make use of the choicefield in PalletMovement model to ensure that the pallet_movement__location gives me the display of AB-Delaware or CD-Delaware?
Bear in mind that the main_model can be anything depending on what I store in the database.
Presumably, I can store more information in the database to help me do the filtering and presentation of data even better.
The values() method returns a dictionary of key-value pairs representing your field name and a corresponding value.
For example:
Model:
class MyModel(models.Model):
name = models.CharField()
surname = models.CharField()
age = models.IntegerField()
...
Query:
result = MyModel.objects.filter(surname='moutafis').values('name', 'surname')
Result:
< Queryset [{'name': 'moutafis', 'surname': 'john'}] >
You can now manipulate this result as you would a normal dictionary:
if main_model_name is 'PalletMovement':
# Make life easier
choices = dict(PalletMovement.WAREHOUSE_CHOICES)
for item in result:
item.update({
pallet_movement__location: verbal_choice.get(
pallet_movement__location, pallet_movement__location)
})
You can even make this into a function for better re-usability:
def verbalize_choices(choices_dict, queryset, search_key):
result = queryset
for item in result:
item.update({ search_key: choices_dict.get(search_key, search_key) })
return result
verbal_result = verbalize_choices(
dict(PalletMovement.WAREHOUSE_CHOICES),
result,
'pallet_movement__location'
)
I suggest the use of the update() and get() methods because they will save you from potential errors, like:
The search_key does not exist in the choice_dict then get() will return the value of the search_key
update() will try to update the given key-value pair if exists, else it will add it to the dictionary.
If the usage of the above will be in the template representation of your data, you can create a custom template filter instead:
#register.filter(name='verbalize_choice')
def choice_to_verbal(choice):
return dict(PalletMovement.WAREHOUSE_CHOICES)[choice]
Have an extra look here: Django: How to access the display value of a ChoiceField in template given the actual value and the choices?
You would use get_foo_display
In your template:
{{ obj.get_location_display }}
or
{{ obj.pallet_movement.get_location_display }}
[Edit:] As pointed out in the comments this will not work when calling values()
an alternative to create a templatetag is :
{{form.choicefield.1}}
This shows the value of the initial data of the foreign key field instead the id.
The universal solution for any main_model_name is by Django Model _meta API introspection: class_object._meta.get_field(field_name).choices
That is:
choice_dicts = {}
for field_name in display_columns:
choice_dicts[field_name] = {
k: v for k, v in class_object._meta.get_field(field_name).choices
}
out = []
for row in results:
out.append({name: choice_dicts[name].get(value, value)
for name, value in row.items()
})
The rest is a trivial example, mostly copied code from the question
>>> pallet = app.models.Pallet.objects.create()
>>> palletm = app.models.PalletMovement.objects.create(pallet=pallet, location='AB')
>>>
>>> main_model_name = 'PalletMovement'
>>> conditions_dict = {}
>>> display_columns = ['pallet_id', 'location']
>>> sort_columns = []
>>>
>>> class_object = class_for_name("app.models", main_model_name)
>>> results = (class_object.objects.filter(**conditions_dict)
... .values(*display_columns)
... .order_by(*sort_columns)
... )[:50]
>>>
>>> # *** INSERT HERE ALL CODE THAT WAS ABOVE ***
>>>
>>> print(out)
[{'location': 'AB-Delaware', 'pallet_id': 1}]
It works equally with 'pallet_id' or with 'pallet' in display_columns. Even that "_meta" starts with underscore, it is a documented API.

Selecting values from a JSON file in Python

I am getting JIRA data using the following python code,
how do I store the response for more than one key (my example shows only one KEY but in general I get lot of data) and print only the values corresponding to total,key, customfield_12830, summary
import requests
import json
import logging
import datetime
import base64
import urllib
serverURL = 'https://jira-stability-tools.company.com/jira'
user = 'username'
password = 'password'
query = 'project = PROJECTNAME AND "Build Info" ~ BUILDNAME AND assignee=ASSIGNEENAME'
jql = '/rest/api/2/search?jql=%s' % urllib.quote(query)
response = requests.get(serverURL + jql,verify=False,auth=(user, password))
print response.json()
response.json() OUTPUT:-
http://pastebin.com/h8R4QMgB
From the the link you pasted to pastebin and from the json that I saw, its a you issues as list containing key, fields(which holds custom fields), self, id, expand.
You can simply iterate through this response and extract values for keys you want. You can go like.
data = response.json()
issues = data.get('issues', list())
x = list()
for issue in issues:
temp = {
'key': issue['key'],
'customfield': issue['fields']['customfield_12830'],
'total': issue['fields']['progress']['total']
}
x.append(temp)
print(x)
x is list of dictionaries containing the data for fields you mentioned. Let me know if I have been unclear somewhere or what I have given is not what you are looking for.
PS: It is always advisable to use dict.get('keyname', None) to get values as you can always put a default value if key is not found. For this solution I didn't do it as I just wanted to provide approach.
Update: In the comments you(OP) mentioned that it gives attributerror.Try this code
data = response.json()
issues = data.get('issues', list())
x = list()
for issue in issues:
temp = dict()
key = issue.get('key', None)
if key:
temp['key'] = key
fields = issue.get('fields', None)
if fields:
customfield = fields.get('customfield_12830', None)
temp['customfield'] = customfield
progress = fields.get('progress', None)
if progress:
total = progress.get('total', None)
temp['total'] = total
x.append(temp)
print(x)

django.utils.datastructures.MultiValueDictKeyError with form post data

django.utils.datastructures.MultiValueDictKeyError: "'user_data'"
Is what i get when trying to access user_data from the request.POST
post_data = dict(request.POST)
print(post_items)
returns
{'user_data[first_name]': ['Jamie'], 'user_data[name_last]': ['Lannister'], 'campus': ['McHale Hall'], 'user_data[twitter]': ['#jamielan']}
So if I try to get just the user_data, I try this (doesn't work)
post_data = dict(request.POST)
user_data = post_data['user_data']
I just want to get all instances of user_data in this dict and store as json. How can I do that?
Expected out put would be something like
Your POST data is really weird but for the sake of correctness, you should do:
first_name = post_data["user_data[first_name]"]
name_last = post_data["user_data[name_last]"]
Because the string user_data[first_name] is the key for the dict not just string user_data.
Edit:
If you want to convert user data into dict, you should loop on request.POST and check for keys that contains user_data keyword:
user_data = {}
for key, value in request.POST.iteritems():
if 'user_data' in key:
field = key.split('[')[1].replace(']', '')
user_data[key] = value
# convert into json
json_user_data = json.dumps(user_data)

Unicode strings returned by API not equal to my dict

So I'm trying to compare a dict that I have created to a dict response returned by a boto3 call.
The response is a representation of a JSON document and I want to check they are the same.
Boto3 always returned the strings as unicode. Here's the response:
{u'Version': u'2012-10-17', u'Statement': [{u'Action': u'sts:AssumeRole', u'Principal': {u'Service': u'ec2.amazonaws.com'}, u'Effect': u'Allow', u'Sid': u''}]}
I initially created my dict like this:
default_documment = {}
default_documment['Version'] = '2012-10-17'
default_documment['Statement'] = [{}]
default_documment['Statement'][0]['Sid'] = ''
default_documment['Statement'][0]['Effect'] = 'Allow'
default_documment['Statement'][0]['Principal'] = {}
default_documment['Statement'][0]['Principal']['Service'] = 'ec2.amazonaws.com'
default_documment['Statement'][0]['Action'] = 'sts:AssumeRole'
However, when i compare these two dicts with == they are not equal.
So then I tried adding u to all the strings when I create the dict:
# Default document for a new role
default_documment = {}
default_documment[u'Version'] = u'2012-10-17'
default_documment[u'Statement'] = [{}]
default_documment[u'Statement'][0][u'Sid'] = u''
default_documment[u'Statement'][0][u'Effect'] = u'Allow'
default_documment[u'Statement'][0][u'Principal'] = {}
default_documment[u'Statement'][0][u'Principal'][u'Service'] = u'ec2.amazonaws.com'
default_documment[u'Statement'][0][u'Action'] = u'sts:AssumeRole'
This doesn't work either. The dicts are not equally and if i do a print of my dict it doesn't show u'somestring' it just shows 'somestring'.
How can I compare my dict to what boto3 has returned?
Your second attempt works correctly in Python 2.7 and 3.3. Below is just a cut-and-paste of your Boto3 response and your code (with document spelling corrected :)
D = {u'Version': u'2012-10-17', u'Statement': [{u'Action': u'sts:AssumeRole', u'Principal': {u'Service': u'ec2.amazonaws.com'}, u'Effect': u'Allow', u'Sid': u''}]}
default_document = {}
default_document[u'Version'] = u'2012-10-17'
default_document[u'Statement'] = [{}]
default_document[u'Statement'][0][u'Sid'] = u''
default_document[u'Statement'][0][u'Effect'] = u'Allow'
default_document[u'Statement'][0][u'Principal'] = {}
default_document[u'Statement'][0][u'Principal'][u'Service'] = u'ec2.amazonaws.com'
default_document[u'Statement'][0][u'Action'] = u'sts:AssumeRole'
print(D == default_document)
Output:
True

Using Keys as Variables in Python

There is probably a term for what I'm attempting to do, but it escapes me. I'm using peewee to set some values in a class, and want to iterate through a list of keys and values to generate the command to store the values.
Not all 'collections' contain each of the values within the class, so I want to just include the ones that are contained within my data set. This is how far I've made it:
for value in result['response']['docs']:
for keys in value:
print keys, value[keys] # keys are "identifier, title, language'
#for value in result['response']['docs']:
# collection = Collection(
# identifier = value['identifier'],
# title = value['title'],
# language = value['language'],
# mediatype = value['mediatype'],
# description = value['description'],
# subject = value['subject'],
# collection = value['collection'],
# avg_rating = value['avg_rating'],
# downloads = value['downloads'],
# num_reviews = value['num_reviews'],
# creator = value['creator'],
# format = value['format'],
# licenseurl = value['licenseurl'],
# publisher = value['publisher'],
# uploader = value['uploader'],
# source = value['source'],
# type = value['type'],
# volume = value['volume']
# )
# collection.save()
for value in result['response']['docs']:
Collection(**value).save()
See this question for an explanation on how **kwargs work.
Are you talking about how to find out whether a key is in a dict or not?
>>> somedict = {'firstname': 'Samuel', 'lastname': 'Sample'}
>>> if somedict.get('firstname'):
>>> print somedict['firstname']
Samuel
>>> print somedict.get('address', 'no address given'):
no address given
If there is a different problem you'd like to solve, please clarify your question.

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