Copied "Query String Parameters" from Chrome Dev Tools, and it was like:
param = {
type: 24
interval_id: 100:90
action:
start: 60
limit: 20
}
To make it works correctly as dictionary in Python, I have to add comma and quotes like this:
param = {
'type': '24',
'interval_id': '100:90',
'action':'',
'start': '60',
'limit': '20',
}
Is there a hotkey to adding quotes automatically?
redis veersion 3.4.1
must be use hash, can't use str or other data type
data:
{'_anno': {
'ctp': 'list',
'dt': [],
'ml': 0,
'na': 'apple',
'pos': -1,
'rel': '',
'st_var': '',
'tp': 'object'},
'_att': {'_cuser': 'apple card',
'_last_editor': 'apple card',
'_protext': 'authorize',
'_status': 'normal',
'_theme_id': 'apple card',
'_view': '12'},
}
my code
pool = redis.ConnectionPool(host=host, port=port)
conn = redis.StrictRedis(connection_pool=pool)
conn.hmset("aaaaaa",data)
raise error
DataError: Invalid input of type: 'dict'. Convert to a bytes, string,
int or float first.
now code
pool = redis.ConnectionPool(host=host, port=port)
conn = redis.StrictRedis(connection_pool=pool)
new_data={}
for key,value in data.items():
new_data[key]=json.dumps(value)
conn.hmset("aaaaaa",new_data)
Is there a more pythonic way?
The solution for you problem is to use hexdigest() or digest() to convert your dictionary, you can use that:
hashlib.sha256(mdp.encode()).hexdigest()
I'm able to successfully pull file metadata from my SharePoint library with the Microsoft Graph API, but am having trouble pulling the properties of an item:
I can get a partial list of properties using this endpoint:
https://graph.microsoft.com/v1.0/sites/{site-id}/drives/{}/items/{}/children?$expand=listItem($expand=fields)
But the list that comes from this endpoint doesn't match the list of properties that exists on the item.
For example, below is a list of fields that come from that endpoint - you can see that '.Push Too Salsify.' (one of the fields I need) is not present. There are also other fields that exist but don't appear in the item properties:
{'ParentLeafNameLookupId': '466', 'CLIPPING_x0020_STATUS': 'Not Started', 'Edit': '0', 'EditorLookupId': '67', '_ComplianceTagWrittenTime': '', 'RequiredField': 'teams/WORKFLOWDEMO/Shared Documents/1062CQP6.Phase4/1062CQP-Phase4-Size.tif', 'PM_x0020_SIGN_x0020_OFF': 'No', 'QA_x0020_APPROVED': 'No', 'ImageWidth': 3648, 'PM_x0020_Approval_x0020_Status': '-', 'AuthorLookupId': '6', 'SelectedFlag': '0', 'NameOrTitle': '1062CQP-Phase4-Size.tif', 'ItemChildCount': '0', 'FolderChildCount': '0', 'LinkFilename': '1062CQP-Phase4-Size.tif', 'ParentVersionStringLookupId': '466', 'PHOTOSTATUS': 'Not Started', '#odata.etag': '"c4b7516e-64df-46d2-b916-a1ee6f29d24a,8"', 'Thumbnail': '3648', '_x002e_Approval_x0020_Status_x002e_': 'Approved', 'Date_x0020_Created': '2019-10-09T04:25:40Z', '_CommentCount': '', 'Created': '2019-10-09T04:25:33Z', 'PreviewOnForm': '0', '_ComplianceTag': '', 'FileLeafRef': '1062CQP-Phase4-Size.tif', 'ImageHeight': 3648, 'LinkFilenameNoMenu': '1062CQP-Phase4-Size.tif', '_ComplianceFlags': '', 'ContentType': 'Document', 'Preview': '3648', 'ImageSize': '3648', 'Product_x0020_Category': 'Baseball', 'DATE_x0020_ASSIGNED': '2019-10-09T04:25:40Z', 'DateCreated': '2019-10-09T04:25:40Z', 'WORKFLOW_x0020_SELECTION': ['Select'], 'Predecessors': [], 'FileType': 'tif', 'LEGAL_x0020_APPROVED': 'No', 'PUSH_x0020_READY': False, 'FileSizeDisplay': '74966432', 'id': '466', '_LikeCount': '', '_ComplianceTagUserId': '', 'Modified': '2019-10-09T14:41:25Z', 'DocIcon': 'tif', '_UIVersionString': '0.7', '_CheckinComment': ''}
Any help would be greatly appreciated. I've scoured the documentation and can't seem to find the correct endpoint to pull item properties from a Sharepoint DriveItem.
I can't convert this Json to csv. I have been trying with different solutions posted here using panda or other parser but non solved this.
This is a small extract of the big json
{'data': {'items': [{'category': 'cat',
'coupon_code': 'cupon 1',
'coupon_name': '$829.99/€705.79 ',
'coupon_url': 'link3',
'end_time': '2017-12-31 00:00:00',
'language': 'sp',
'start_time': '2017-12-19 00:00:00'},
{'category': 'LED ',
'coupon_code': 'code',
'coupon_name': 'text',
'coupon_url': 'link',
'end_time': '2018-01-31 00:00:00',
'language': 'sp',
'start_time': '2017-10-07 00:00:00'}],
'total_pages': 1,
'total_results': 137},
'error_no': 0,
'msg': '',
'request': 'GET api/ #2017-12-26 04:50:02'}
I'd like to get an output like this with the columns:
category, coupon_code, coupon_name, coupon_url, end_time, language, start_time
I'm running python 3.6 with no restrictions.
I have a dictionary object that is being returned to me from AWS. I need to pull the tag "based_on_ami" out of this dictionary. I have tried converting to a list, but I am new to programming and have not been able to figure out how to access Tags since they are a few levels down in the dictionary.
What is the best way for me to pull that tag out of the dictionary and put it into a variable i can use?
{
'Images':[
{
'Architecture':'x86_64',
'CreationDate':'2017-11-27T14:41:30.000Z',
'ImageId':'ami-8e73e0f4',
'ImageLocation':'23452345234545/java8server_ubuntu16-2b71edd1-f95e-4ee5-8fd6-d8a46975fdb5',
'ImageType':'machine',
'Public':False,
'OwnerId':'23452345234545',
'State':'available',
'BlockDeviceMappings':[
{
'DeviceName':'/dev/sda1',
'Ebs':{
'Encrypted':False,
'DeleteOnTermination':True,
'SnapshotId':'snap-0c10e8f5ced5b5240',
'VolumeSize':8,
'VolumeType':'gp2'
}
},
{
'DeviceName':'/dev/sdb',
'VirtualName':'ephemeral0'
},
{
'DeviceName':'/dev/sdc',
'VirtualName':'ephemeral1'
}
],
'EnaSupport':True,
'Hypervisor':'xen',
'Name':'java8server_ubuntu16-2b71edd1-f95e-4ee5-8fd6-d8a46975fdb5',
'RootDeviceName':'/dev/sda1',
'RootDeviceType':'ebs',
'SriovNetSupport':'simple',
'Tags':[
{
'Key':'service',
'Value':'baseami'
},
{
'Key':'cloudservice',
'Value':'ami'
},
{
'Key':'Name',
'Value':'java8server_ubuntu16-2b71edd1-f95e-4ee5-8fd6-d8a46975fdb5'
},
{
'Key':'os',
'Value':'ubuntu 16.04 lts'
},
{
'Key':'based_on_ami',
'Value':'ami-aa2ea8d0'
}
],
'VirtualizationType':'hvm'
}
],
'ResponseMetadata':{
'RequestId':'2c376c75-c31f-4aba-a058-173f3b125a00',
'HTTPStatusCode':200,
'HTTPHeaders':{
'content-type':'text/xml;charset=UTF-8',
'transfer-encoding':'chunked',
'vary':'Accept-Encoding',
'date':'Fri, 01 Dec 2017 18:17:53 GMT',
'server':'AmazonEC2'
},
'RetryAttempts':0
}
}
The best way to approach this type of problem is to find the value you're looking for, and then work outwards until you find a solution. You need to look at what is at each of those levels.
So, what are you looking for? You're looking for the Value for based_on_ami's Key. So your final step is going to be:
if obj['Key'] == 'based_on_ami':
# do something with obj['Value'].
But how do you get there? Well, the object is inside of a list, so you'll need to iterate the list:
for tag in <some list>:
if tag['Key'] == 'based_on_ami':
# do something with tag['Value'].
What is that list? It's the list of tags:
for tag in image['Tags']:
if tag['Key'] == 'based_on_ami':
# do something with tag['Value'].
And where are those tags? In an image object that you find in a list:
for image in image_list:
for tag in image['Tags']:
if tag['Key'] == 'based_on_ami':
# do something with tag['Value'].
The image list is the value found at the Images key in your initial dict.
image_list = my_data['Images']
for image in image_list:
for tag in image['Tags']:
if tag['Key'] == 'based_on_ami':
# do something with tag['Value'].
And now you're collecting all of those values, so you'll need a list and you'll need to append to it:
result = []
image_list = my_data['Images']
for image in image_list:
for tag in image['Tags']:
if tag['Key'] == 'based_on_ami':
result.append(tag['Value'])
So, I took your example above, and added another based_on_ami node with the value quack:
{'ResponseMetadata': {'RequestId': '2c376c75-c31f-4aba-a058-173f3b125a00', 'RetryAttempts': 0, 'HTTPHeaders': {'vary': 'Accept-Encoding', 'transfer-encoding': 'chunked', 'server': 'AmazonEC2', 'content-type': 'text/xml;charset=UTF-8', 'date': 'Fri, 01 Dec 2017 18:17:53 GMT'}, 'HTTPStatusCode': 200}, 'Images': [{'Public': False, 'CreationDate': '2017-11-27T14:41:30.000Z', 'BlockDeviceMappings': [{'Ebs': {'SnapshotId': 'snap-0c10e8f5ced5b5240', 'VolumeSize': 8, 'Encrypted': False, 'VolumeType': 'gp2', 'DeleteOnTermination': True}, 'DeviceName': '/dev/sda1'}, {'VirtualName': 'ephemeral0', 'DeviceName': '/dev/sdb'}, {'VirtualName': 'ephemeral1', 'DeviceName': '/dev/sdc'}], 'OwnerId': '23452345234545', 'ImageLocation': '23452345234545/java8server_ubuntu16-2b71edd1-f95e-4ee5-8fd6-d8a46975fdb5', 'RootDeviceName': '/dev/sda1', 'ImageType': 'machine', 'Hypervisor': 'xen', 'RootDeviceType': 'ebs', 'State': 'available', 'Architecture': 'x86_64', 'Name': 'java8server_ubuntu16-2b71edd1-f95e-4ee5-8fd6-d8a46975fdb5', 'Tags': [{'Value': 'baseami', 'Key': 'service'}, {'Value': 'ami', 'Key': 'cloudservice'}, {'Value': 'java8server_ubuntu16-2b71edd1-f95e-4ee5-8fd6-d8a46975fdb5', 'Key': 'Name'}, {'Value': 'ubuntu 16.04 lts', 'Key': 'os'}, {'Value': 'ami-aa2ea8d0', 'Key': 'based_on_ami'}], 'EnaSupport': True, 'SriovNetSupport': 'simple', 'ImageId': 'ami-8e73e0f4'}, {'Public': False, 'CreationDate': '2017-11-27T14:41:30.000Z', 'BlockDeviceMappings': [{'Ebs': {'SnapshotId': 'snap-0c10e8f5ced5b5240', 'VolumeSize': 8, 'Encrypted': False, 'VolumeType': 'gp2', 'DeleteOnTermination': True}, 'DeviceName': '/dev/sda1'}, {'VirtualName': 'ephemeral0', 'DeviceName': '/dev/sdb'}, {'VirtualName': 'ephemeral1', 'DeviceName': '/dev/sdc'}], 'VirtualizationType': 'hvm', 'OwnerId': '23452345234545', 'ImageLocation': '23452345234545/java8server_ubuntu16-2b71edd1-f95e-4ee5-8fd6-d8a46975fdb5', 'RootDeviceName': '/dev/sda1', 'ImageType': 'machine', 'Hypervisor': 'xen', 'RootDeviceType': 'ebs', 'State': 'available', 'Architecture': 'x86_64', 'Name': 'java8server_ubuntu16-2b71edd1-f95e-4ee5-8fd6-d8a46975fdb5', 'Tags': [{'Value': 'baseami', 'Key': 'service'}, {'Value': 'ami', 'Key': 'cloudservice'}, {'Value': 'java8server_ubuntu16-2b71edd1-f95e-4ee5-8fd6-d8a46975fdb5', 'Key': 'Name'}, {'Value': 'ubuntu 16.04 lts', 'Key': 'os'}, {'Value': 'quack', 'Key': 'based_on_ami'}], 'EnaSupport': True, 'SriovNetSupport': 'simple', 'ImageId': 'ami-8e73e0f4'}]}
My result:
['ami-aa2ea8d0', 'quack']
info = {...}
tags = []
for image in info['Images']:
for tag in image['Tags']:
if tag['Key'] == 'based_on_ami':
tags.append(tag['Value'])
print(tags)