I am trying to pull 'created' from the Monzo data I'm pulling.
I have made a call to the Monzo api with the following code:
from monzo.monzo import Monzo
client = Monzo(INSERT API KEY)
data = client.get_transactions("INSERT ACCOUNT NUMBER")
print (data)
and I can't quite get the data I need which looks like this:
d': 'merch_000094MPASVBf7xCdrZOz3', 'created': '2016-01-20T21: 26: 33.985Z', 'name': 'DelicedeFrance', 'logo': 'https: //mondo-logo-cache.appspot.com/twitter/deliceuk/?size=large', 'emoji': '🇫🇷', 'category': 'eating_out', 'online': False, 'atm': False, 'address': {'short_formatted': 'LiverpoolStreetStation,
LondonEC2M7PY', 'formatted': 'LiverpoolStreetStation,
LondonEC2M7PY,
UnitedKingdom', 'address': 'LiverpoolStreetStation', 'city': 'London', 'region': 'GreaterLondon', 'country': 'GBR', 'postcode': 'EC2M7PY', 'latitude': 51.518159172221615, 'longitude': -0.08210659649555102, 'zoom_level': 17, 'approximate': False}, 'updated': '2016-02-02T14: 10: 48.664Z', 'metadata': {'foursquare_category': 'Restaurant', 'foursquare_category_icon': 'https: //ss3.4sqi.net/img/categories_v2/food/default_88.png','foursquare_website': '', 'google_places_icon': 'https: //maps.gstatic.com/mapfiles/place_api/icons/restaurant-71.png', 'google_places_name': 'DelicedeFrance', 'suggested_name': 'DelicedeFrance', 'suggested_tags': '#food', 'twitter_id': ''}, 'disable_feedback': False}, 'notes': '', 'metadata': {}, 'account_balance': 3112, 'attachments': [], 'category': 'eating_out', 'is_load': False, 'settled': '2017-04-28T04: 54: 18.167Z', 'local_amount': -199, 'local_currency': 'GBP', 'updated': '2017-04-28T06: 15: 06.095Z', 'counterparty': {}, 'originator': False, 'include_in_spending': True}, {'created': '2017-04-28T08: 54: 10.917Z','amount': -130, 'currency': 'GBP', 'merchant': {'created': '2016-04-21T08: 02: 13.537Z','logo': 'https: //mondo-logo-cache.appspot.com/twitter/MCSaatchiLondon/?size=large', 'emoji': '🍲', 'category': 'eating_out', 'online': False, 'atm': False...
How do I pull the 'created' date?
Try this:
#!/usr/bin/env python
import csv
from pymonzo import MonzoAPI
if __name__ == '__main__':
monzo_api = MonzoAPI()
monzo_transactions = monzo_api.transactions()
with open('monzo_transactions.csv', 'w') as csvfile:
writer = csv.writer(csvfile)
for transaction in monzo_transactions:
writer.writerow([
transaction.amount, transaction.description,
transaction.created,
])
print('All done!')
If this is actually right json code and you just have paste errors, than you can use the python libary json:
import json
data = json.loads(datastring)
If this not json code, you probably have to write a parser on your own.
Related
Closed. This question needs debugging details. It is not currently accepting answers.
Edit the question to include desired behavior, a specific problem or error, and the shortest code necessary to reproduce the problem. This will help others answer the question.
Closed 6 days ago.
Improve this question
I'm using an API from anomali to gather intel list and i wanna ask on how i could run the code so that it would output all the need columns header into an excel file.
So i created a code where i pull out the needed columns to be implemented to the site.
import requests
import json
import pandas as pd
import csv
url = 'https://api.threatstream.com/api/v2/intelligence/?itype=bot_ip'
csv_columns = ['ip','source_created', 'status', 'itype', 'expiration_ts', 'is_editable', 'feed_id', 'update_id',
'value', 'ispublic', 'threat_type', 'workgroups', 'rdns', 'confidence', 'uuid', 'retina_confidence',
'trusted_circle_ids', 'id', 'source', 'owner_organization_id', 'import_session_id', 'source_modified',
'type', 'sort', 'description', 'tags', 'threatscore', 'latitude', 'modified_ts', 'org', 'asn',
'created_ts', 'tlp', 'is_anonymous', 'country', 'source_reported_confidence', 'can_add_public_tags',
'subtype', 'meta', 'resource_uri']
with open("AnomaliThreat.csv","a", newline='') as filecsv:
writer = csv.DictWriter(filecsv, fieldnames=csv_columns)
writer.writeheader()
headers = {
'Accept': 'application/json',
'Authorization': 'apikey testing:wdwfawaf12321rfewawafa'
}
response= requests.get( url=url,headers=headers)
json_Data = json.loads(response.content)
result = json_Data["objects"]
with open("AnomaliThreat.csv","a", newline='')as filecsv:
writer = csv.DictWriter(filecsv,fieldnames=csv_columns)
writer.writerow(result)
If i ran this code, all i got is 'list' no attribute keys, my guess is because inside the response, there's a list inside the list or another string inside the list for example like this
'trusted_circle_ids': [1241412, 212141241]
or this
'tags': [{'id': 'fwafwff', 'name': 'wfwafwawf'},
{'id': '31231ewfw',
'name': 'fwafwafwafaw#gmail.com.wafawfawfds.com'}],
And this is what's inside the response of anomali
[{'source_created': None,
'status': 'inactive',
'itype': 'bot_ip',
'expiration_ts': '',
'ip': '231.24124.1241.412',
'is_editable': False,
'feed_id': 23112231,
'update_id': 231231,
'value': '124124124141224141',
'is_public': False,
'threat_type': 'bot',
'workgroups': [],
'rdns': None,
'confidence': 12,
'uuid': '3123414124124142',
'retina_confidence': 52414,
'trusted_circle_ids': [1241412, 212141241],
'id': fwaffewaewafw1231231,
'source': 'wfawfwaefwadfwa',
'owner_organization_id': 2,
'import_session_id': None,
'source_modified': None,
'type': 'ip',
'sort': [312312424124141241, '1241414214241'],
'description': None,
'tags': [{'id': 'fwafwff', 'name': 'wfwafwawf'},
{'id': '31231ewfw',
'name': 'fwafwafwafaw#gmail.com.wafawfawfds.com'}],
'threatscore': 412,
'latitude': wafefwaf,
'modified_ts': 'wawafwadfd',
'org': 'fawfwafawe',
'asn': 'fwafwa2131231',
'created_ts': '41241241241241',
'tlp': None,
'is_anonymous': False,
'country': 'fwafw',
'source_reported_confidence': 21,
'can_add_public_tags': False,
'longitude': --321412,
'subtype': None,
'meta': {'detail2': 'bi2141412412342424',
'severity': '3123124r3'},
'resource_uri': '/api/v2/intelligence/241fsdfsf241325/'},
{'source_created': None,
'status': 'inactive',
'itype': 'bot_ip',
'expiration_ts': '',
'ip': '231.24124.1241.412',
'is_editable': False,
'feed_id': 23112231,
'update_id': 231231,
'value': '124124124141224141',
'is_public': False,
'threat_type': 'bot',
'workgroups': [],
'rdns': None,
'confidence': 12,
'uuid': '3123414124124142',
'retina_confidence': 52414,
'trusted_circle_ids': [1241412, 212141241],
'id': fwaffewaewafw1231231,
'source': 'wfawfwaefwadfwa',
'owner_organization_id': 2,
'import_session_id': None,
'source_modified': None,
'type': 'ip',
'sort': [312312424124141241, '1241414214241'],
'description': None,
'tags': [{'id': 'fwafwff', 'name': 'wfwafwawf'},
{'id': '31231ewfw',
'name': 'fwafwafwafaw#gmail.com.wafawfawfds.com'}],
'threatscore': 412,
'latitude': wafefwaf,
'modified_ts': 'wawafwadfd',
'org': 'fawfwafawe',
'asn': 'fwafwa2131231',
'created_ts': '41241241241241',
'tlp': None,
'is_anonymous': False,
'country': 'fwafw',
'source_reported_confidence': 21,
'can_add_public_tags': False,
'longitude': --321412,
'subtype': None,
'meta': {'detail2': 'bi2141412412342424',
'severity': '3123124r3'},
'resource_uri': '/api/v2/intelligence/241fsdfsf241325/'}]
I'm open to any suggestions on how to make it so that the results can be inputed into an excel file
Problem Solved!
I needed to add a value to the code, so i added this line
csv_writer = csv.writer(data_file)
count = 0
for res in result:
if count == 0:
header = res.keys()
csv_writer.writerow(header)
count += 1
csv_writer.writerow(res.values())
data_file.close()
You can try doing something like this if i understood correctly,
import requests
import json
import pandas as pd
import csv
url = 'https://api.threatstream.com/api/v2/intelligence/?itype=bot_ip'
csv_columns = ['ip','source_created', 'status', 'itype', 'expiration_ts', 'is_editable', 'feed_id', 'update_id',
'value', 'ispublic', 'threat_type', 'workgroups', 'rdns', 'confidence', 'uuid', 'retina_confidence',
'trusted_circle_ids', 'id', 'source', 'owner_organization_id', 'import_session_id', 'source_modified',
'type', 'sort', 'description', 'tags', 'threatscore', 'latitude', 'modified_ts', 'org', 'asn',
'created_ts', 'tlp', 'is_anonymous', 'country', 'source_reported_confidence', 'can_add_public_tags',
'subtype', 'meta', 'resource_uri']
headers = {
'Accept': 'application/json',
'Authorization': 'apikey testing:wdwfawaf12321rfewawafa'
}
response= requests.get( url=url,headers=headers)
json_Data = json.loads(response.content)
result = json_Data["objects"]
dataframe_1 = pd.Dataframe
for key, value in result.items():
if key in csv_columns:
dataframe_1[key] = value
dataframe_1.to_csv("AnomaliThreat.csv")
something along those lines, so basically iterate through the key, value pairs with in the result, check if the key is in the csv_columns, save that key value pair, finally once all that is done just use the dataframe.to_csv
I am trying to pick Instances in the json objects data which looks like this
[{'Groups': [], 'Instances': [{'AmiLaunchIndex': 0, 'ImageId': 'ami-0ceecbb0f30a902a6', 'InstanceId': 'i-xxxxx', 'InstanceType': 't2.micro', 'KeyName': 'xxxx', 'LaunchTime': {'$date': '2022-12-17T13:07:54Z'}, 'Monitoring': {'State': 'disabled'}, 'Placement': {'AvailabilityZone': 'us-west-2b', 'GroupName': '', 'Tenancy': 'default'}, 'PrivateDnsName': 'ip-zxxxxx.us-west-2.compute.internal', 'PrivateIpAddress': 'xxxxx', 'ProductCodes': [], 'PublicDnsName': 'ec2-xx-xxx-xxx.us-west-2.compute.amazonaws.com', 'PublicIpAddress': 'xxxxxx', 'State': {'Code': 16, 'Name': 'running'}, 'StateTransitionReason': '', 'SubnetId': 'subnet-xxxxx', 'VpcId': 'vpc-xxxxx', 'Architecture': 'x86_64', 'BlockDeviceMappings': [{'DeviceName': '/dev/xvda', 'Ebs': {'AttachTime': {'$date': '2022-12-17T13:07:55Z'}, 'DeleteOnTermination': True, 'Status': 'attached', 'VolumeId': 'vol-xxxx'}}], 'ClientToken': '529fc1ac-bf64-4804-b0b8-7c7778ace68c', 'EbsOptimized': False, 'EnaSupport': True, 'Hypervisor': 'xen', 'NetworkInterfaces': [{'Association': {'IpOwnerId': 'amazon', 'PublicDnsName': 'ec2-35-86-111-31.us-west-2.compute.amazonaws.com', 'PublicIp': 'xxxxx'}, 'Attachment': {'AttachTime': {'$date': '2022-12-17T13:07:54Z'}, 'AttachmentId': 'eni-attach-0cac7d4af20664b23', 'DeleteOnTermination': True, 'DeviceIndex': 0, 'Status': 'attached', 'NetworkCardIndex': 0}, 'Description': '', 'Groups': [{'GroupName': 'launch-wizard-5', 'GroupId': 'sg-xxxxx'}], 'Ipv6Addresses': [], 'MacAddress': 'xxxxx', 'NetworkInterfaceId': 'eni-xxxxx', 'OwnerId': 'xxxx', 'PrivateDnsName': 'ip-xxxxx.us-west-2.compute.internal', 'PrivateIpAddress': 'xxx.xxx.xxx', 'PrivateIpAddresses': [{'Association': {'IpOwnerId': 'amazon', 'PublicDnsName': 'ec2-xx-xx-xx-xxx.us-west-2.compute.amazonaws.com', 'PublicIp': 'xxx.xxx.xxx'}, 'Primary': True, 'PrivateDnsName': 'ip-172-31-20-187.us-west-2.compute.internal', 'PrivateIpAddress': 'xxx.xxx.xxx'}], 'SourceDestCheck': True, 'Status': 'in-use', 'SubnetId': 'subnet-xxxxxxx', 'VpcId': 'vpc-0b09cd4sedxxx', 'InterfaceType': 'interface'}], 'RootDeviceName': '/dev/xvda', 'RootDeviceType': 'ebs', 'SecurityGroups': [{'GroupName': 'launch-wizard-5', 'GroupId': 'sg-0a0d1c79d8076660e'}], 'SourceDestCheck': True, 'Tags': [{'Key': 'Name', 'Value': 'MainServers'}], 'VirtualizationType': 'hvm', 'CpuOptions': {'CoreCount': 1, 'ThreadsPerCore': 1}, 'CapacityReservationSpecification': {'CapacityReservationPreference': 'open'}, 'HibernationOptions': {'Configured': False}, 'MetadataOptions': {'State': 'applied', 'HttpTokens': 'optional', 'HttpPutResponseHopLimit': 1, 'HttpEndpoint': 'enabled', 'HttpProtocolIpv6': 'disabled', 'InstanceMetadataTags': 'disabled'}, 'EnclaveOptions': {'Enabled': False}, 'PlatformDetails': 'Linux/UNIX', 'UsageOperation': 'RunInstances', 'UsageOperationUpdateTime': {'$date': '2022-12-17T13:07:54Z'}, 'PrivateDnsNameOptions': {'HostnameType': 'ip-name', 'EnableResourceNameDnsARecord': True, 'EnableResourceNameDnsAAAARecord': False}, 'MaintenanceOptions': {'AutoRecovery': 'default'}}], 'OwnerId': '76979cfxdsss11', 'ReservationId': 'r-xxxxx'}]
I tired loading data and doing
resp = json.loads(jsonfile)
reqData= resp['Instances']
But getting error
TypeError: list indices must be integers or slices, not str
Is there any way I can fix this and get the data? Help will be extremely appriciated.
It's wrapped inside a list. So simply do:
print(lst[0]["Instances"])
To select only the instances from the data, you can use the json.loads function to parse the JSON data and extract the Instances field as a list.
import json
# Parse the JSON data
data = json.loads(json_data)
# Extract the instances
instances = data['Instances']
You can then iterate over the data with something like this
for instance in instances:
instance_id = instance['InstanceId']
instance_type = instance['InstanceType']
launch_time = instance['LaunchTime']
When I search for the book using this link https://www.googleapis.com/books/v1/volumes?q=9780310709626 I get the author name in the details.
However when I run my code and print items I don't see the author name. I've been trying to figure out why it doesn't show from the data but I don't see any problem with my code.
print(searchBooks("9780310709626"))
def getBooks(id):
url = "https://www.googleapis.com/books/v1/volumes?q=isbn:"
resp = url(api + id)
data = json.load(resp)
print(data["items"])
My code output:
[{'kind': 'books#volume', 'id': 'JEP3sgEACAAJ', 'etag': '92vdEneJ83g', 'selfLink': 'https://www.googleapis.com/books/v1/volumes/JEP3sgEACAAJ', 'volumeInfo': {'title': "The Beginner's Bible", 'subtitle': 'Timeless Bible Stories', 'publisher': 'Zondervan', 'publishedDate': '2005', 'description': 'Retells familiar Bible stories from the Old and New Testaments for children to enjoy.', 'industryIdentifiers': [{'type': 'ISBN_10', 'identifier': '0310709628'}, {'type': 'ISBN_13', 'identifier': '9780310709626'}], 'readingModes': {'text': False, 'image': False}, 'pageCount': 511, 'printType': 'BOOK', 'categories': ['Juvenile Nonfiction'], 'averageRating': 4.5, 'ratingsCount': 2, 'maturityRating': 'NOT_MATURE', 'allowAnonLogging': False, 'contentVersion': 'preview-1.0.0', 'panelizationSummary': {'containsEpubBubbles': False, 'containsImageBubbles': False}, 'imageLinks': {'smallThumbnail': 'http://books.google.com/books/content?id=JEP3sgEACAAJ&printsec=frontcover&img=1&zoom=5&source=gbs_api', 'thumbnail': 'http://books.google.com/books/content?id=JEP3sgEACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_api'}, 'language': 'en', 'previewLink': 'http://books.google.com.tw/books?id=JEP3sgEACAAJ&dq=isbn:9780310709626&hl=&cd=1&source=gbs_api', 'infoLink': 'http://books.google.com.tw/books?id=JEP3sgEACAAJ&dq=isbn:9780310709626&hl=&source=gbs_api', 'canonicalVolumeLink': 'https://books.google.com/books/about/The_Beginner_s_Bible.html?hl=&id=JEP3sgEACAAJ'}, 'saleInfo': {'country': 'TW', 'saleability': 'NOT_FOR_SALE', 'isEbook': False}, 'accessInfo': {'country': 'TW', 'viewability': 'NO_PAGES', 'embeddable': False, 'publicDomain': False, 'textToSpeechPermission': 'ALLOWED', 'epub': {'isAvailable': False}, 'pdf': {'isAvailable': False}, 'webReaderLink': 'http://play.google.com/books/reader?id=JEP3sgEACAAJ&hl=&printsec=frontcover&source=gbs_api', 'accessViewStatus': 'NONE', 'quoteSharingAllowed': False}, 'searchInfo': {'textSnippet': 'Retells familiar Bible stories from the Old and New Testaments for children to enjoy.'}}, {'kind': 'books#volume', 'id': 'ZRgnzQEACAAJ', 'etag': 'RXYM4Rbwx+g', 'selfLink': 'https://www.googleapis.com/books/v1/volumes/ZRgnzQEACAAJ', 'volumeInfo': {'title': "The Beginner's Bible", 'authors': ['Catherine DeVries'], 'publishedDate': '2005', 'industryIdentifiers': [{'type': 'ISBN_10', 'identifier': '0310709628'}, {'type': 'ISBN_13', 'identifier': '9780310709626'}], 'readingModes': {'text': False, 'image': False}, 'pageCount': 511, 'printType': 'BOOK', 'averageRating': 4, 'ratingsCount': 1, 'maturityRating': 'NOT_MATURE', 'allowAnonLogging': False, 'contentVersion': 'preview-1.0.0', 'panelizationSummary': {'containsEpubBubbles': False, 'containsImageBubbles': False}, 'language': 'en', 'previewLink': 'http://books.google.com.tw/books?id=ZRgnzQEACAAJ&dq=isbn:9780310709626&hl=&cd=2&source=gbs_api', 'infoLink': 'http://books.google.com.tw/books?id=ZRgnzQEACAAJ&dq=isbn:9780310709626&hl=&source=gbs_api', 'canonicalVolumeLink': 'https://books.google.com/books/about/The_Beginner_s_Bible.html?hl=&id=ZRgnzQEACAAJ'}, 'saleInfo': {'country': 'TW', 'saleability': 'NOT_FOR_SALE', 'isEbook': False}, 'accessInfo': {'country': 'TW', 'viewability': 'NO_PAGES', 'embeddable': False, 'publicDomain': False, 'textToSpeechPermission': 'ALLOWED', 'epub': {'isAvailable': False}, 'pdf': {'isAvailable': False}, 'webReaderLink': 'http://play.google.com/books/reader?id=ZRgnzQEACAAJ&hl=&printsec=frontcover&source=gbs_api', 'accessViewStatus': 'NONE', 'quoteSharingAllowed': False}}]
With the requests library:
import requests
url = 'https://www.googleapis.com/books/v1/volumes?q=9780310709626'
resp = requests.get(url)
json = resp.json()
print(json['items'][0]['volumeInfo']['authors'])
From the response you can see that authors is an array. To reach that array you will need to do json['items'][0]['volumeInfo']['authors'].
As items is also an array, meaning that there could be multiple items in this response. You might want to write extra code to deal with that other than hard-code index=0.
Note that in this case, you probably won't know the schema of the response. You should handle unexpected behaviors. For some certain books maybe some keys are missing, json['items'] could be an empty array, or even items is not in the response at all.
I am trying to pretty-print a python object by calling:
from pprint import pprint
...
pprint(update)
But the output looks like this:
<telegram.update.Update object at 0xffff967e62b0>
However, using Python's internal print() I get the correct output:
{'update_id': 14191809, 'message': {'message_id': 22222, 'date': 11111, 'chat': {'id': 00000, 'type': 'private', 'username': 'xxxx', 'first_name': 'X', 'last_name': 'Y'}, 'text': '/start', 'entities': [{'type': 'bot_command', 'offset': 0, 'length': 6}], 'caption_entities': [], 'photo': [], 'new_chat_members': [], 'new_chat_photo': [], 'delete_chat_photo': False, 'group_chat_created': False, 'supergroup_chat_created': False, 'channel_chat_created': False, 'from': {'id': 01010101, 'first_name': 'X', 'is_bot': False, 'last_name': 'Y', 'username': 'xxxx', 'language_code': 'en'}}}
Is there a way to make pprint(), show the object-data correctly and formatted?
pprint uses the representation (__repr__() method) of the object while print uses __str__(). What you see in print output is not a dictionary but a string representation of the inner structure of the telegram.update.Update instance.
There is no generic solution to this, but since your question is about a specific library, consulting the relevant docs shows that there is a .to_json() method, so you can do this:
import json
from pprint import pprint
...
pprint(json.loads(update.to_json()))
I want to be able to GET information from API 1 and match it with API 2 and be able to update API 2's information with API 1. I am trying to figure out the most efficient/automated way to accomplish this as it also needs to be updated at a interval of every 10 minutes
I can query and get the results from API 1 this is my code and what my code looks like.
import json
import requests
myToken = '52c32f6588004cb3ab33b0ff320b8e4f'
myUrl = 'https://api1.com/api/v1/devices.json'
head = {'Authorization': 'Token {}'.format(myToken)}
response = requests.get(myUrl, headers=head)
r = json.loads(response.content)
r
The payload looks like this from API 1
{ "device" : {
"id": 153,
"battery_status" : 61,
"serial_no": "5QBYGKUI05",
"location_lat": "-45.948917",
"location_lng": "29.832179",
"location_address": "800 Laurel Rd, Lansdale, PA 192522,USA"}
}
I want to be able to take this information and match by "serial_no" and update all the other pieces of information for the corresponding device in API 2
I query the data for API 2 and this is what my code looks like
params = {
"location":'cf6707e3-f0ae-4040-a184-737b21a4bbd1',
"dateAdded":'ge:11/23/2020'}
url = requests.get('https://api2.com/api/assets',auth=('api2', '123456'), params=params)
r = json.loads(url.content)
r['items']
The JSON payload looks like this
[{'id': '064ca857-3783-460e-a7a2-245e054dcbe3',
'name': 'Apple Laptop 1',
'model': {'id': '50f5993e-2abf-49c8-86e0-8743dd58db6f',
'name': 'MacBook Pro'},
'manufacturer': {'id': 'f56244e2-76e3-46da-97dd-f72f92ca0779',
'name': 'APPLE'},
'room': {'id': '700ff2dc-0118-46c6-936a-01f0fa88c620',
'name': 'Storage Room 1',
'thirdPartyId': ''},
'location': {'id': 'cf6707e3-f0ae-4040-a184-737b21a4bbd1',
'name': 'Iron Mountain',
'thirdPartyId': ''},
'position': 'NonMounted',
'containerAsset': {'id': '00000000-0000-0000-0000-000000000000',
'name': None},
'baseAsset': {'id': '064ca857-3783-460e-a7a2-245e054dcbe3',
'name': 'Apple Laptop 1'},
'description': None,
'status': {'id': 'df9906d8-2856-45e3-9cba-bd7a1ac4971f',
'name': 'Production'},
'serialNumber': '5QBYGKUI06',
'tagNumber': None,
'alternateTagNumber': None,
'verificationStatus': {'id': 'cb3560a9-eef5-47b9-b033-394d3a09db18',
'name': 'Verified'},
'requiresRFID': False,
'requiresHangTag': False,
'bottomPosition': 0.0,
'leftPosition': 0.0,
'rackPosition': 'Front',
'labelX': None,
'labelY': None,
'verifyNameInRear': False,
'verifySerialNumberInRear': False,
'verifyBarcodeInRear': False,
'isNonDataCenter': False,
'rotate': False,
'customer': {'id': '00000000-0000-0000-0000-000000000000', 'name': None},
'thirdPartyId': '',
'temperature': None,
'dateLastScanned': None,
'placement': 'Floor',
'lastScannedLabelX': None,
'lastScannedLabelY': None,
'userDefinedValues': [{'userDefinedKeyId': '79e77a1e-4030-4308-a8ff-9caf40c04fbd',
'userDefinedKeyName': 'Longitude ',
'value': '-75.208917'},
{'userDefinedKeyId': '72c8056e-9b7d-40ac-9270-9f5929097e82',
'userDefinedKeyName': 'Address',
'value': '800 Laurel Rd, New York ,NY 19050, USA'},
{'userDefinedKeyId': '31aeeb91-daef-4364-8dd6-b0e3436d6a51',
'userDefinedKeyName': 'Battery Level',
'value': '67'},
{'userDefinedKeyId': '22b7ce4f-7d3d-4282-9ecb-e8ec2238acf2',
'userDefinedKeyName': 'Latitude',
'value': '35.932179'}]}
The documentation provided by API 2 tells me they only support PUT for updates as of right now but I would also want to know how I would do this using PATCH as it will be available in the future. So the data payload that I need to successful PUT is this
payload = {'id': '064ca857-3783-460e-a7a2-245e054dcbe3',
'name': 'Apple Laptop 1',
'model': {'id': '50f5993e-2abf-49c8-86e0-8743dd58db6f',
'name': 'MacBook Pro'},
'manufacturer': {'id': 'f56244e2-76e3-46da-97dd-f72f92ca0779',
'name': 'APPLE'},
'room': {'id': '700ff2dc-0118-46c6-936a-01f0fa88c620',
'name': 'Storage Room 1',
'thirdPartyId': ''},
'status': {'id': 'df9906d8-2856-45e3-9cba-bd7a1ac4971f',
'name': 'Production'},
'serialNumber': '5QBYGKUI06',
'verificationStatus': {'id': 'cb3560a9-eef5-47b9-b033-394d3a09db18',
'name': 'Verified'},
'requiresRFID': 'False',
'requiresHangTag': 'False',
'userDefinedValues': [{'userDefinedKeyId': '79e77a1e-4030-4308-a8ff-9caf40c04fbd',
'userDefinedKeyName': 'Longitude ',
'value': '-75.248920'},
{'userDefinedKeyId': '72c8056e-9b7d-40ac-9270-9f5929097e82',
'userDefinedKeyName': 'Address',
'value': '801 Laurel Rd, New York, Ny 192250, USA'},
{'userDefinedKeyId': '31aeeb91-daef-4364-8dd6-b0e3436d6a51',
'userDefinedKeyName': 'Battery Level',
'value': '67'},
{'userDefinedKeyId': '22b7ce4f-7d3d-4282-9ecb-e8ec2238acf2',
'userDefinedKeyName': 'Latitude',
'value': '29.782177'}]}
So apart of this is figuring out how I can query the json data portions that I need for the update
I am able to update the information using this line
requests.put('https://api2.com/api/assets/064ca857-3783-460e-a7a2-245e054dcbe3',auth=('API2', '123456'), data=json.dumps(payload))
but I need for it to dynamically update so I don't think the hard coded id parameter in the line will be efficient in a automation/efficiency standpoint. If anybody has any ideas, resources to point me in the right direction to know more about this process (I don't really know what it is even called) would be greatly appreciated.
Not entirely sure what you are trying to do here, but if you want to pull information nested in the responses you can do this.
Serial number from API 1
r['device']['serial_no']
Serial number for API 2
either r[0]['serialNumber'] or r['items'][0]['serialNumber'] depending on what you are showing
To modify the payload serial number, for example
payload['serialNumber'] = '123456abcdef'