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.
Related
I am getting delivery fee but for few restaurants, its slightly different than the one on website, say its $2.99 on website but spider is getting $3.09. I have checked latitude and longitude but its same in the url and spider. I have changed multiple values in headers and it changed the delivery fee for few restaurants but not for all. This is the sample url: https://www.foodpanda.sg/restaurants/new?lat=1.43035&lng=103.83684&vertical=restaurants and below is the code snippet:
api_url = 'https://disco.deliveryhero.io/listing/api/v1/pandora/vendors'
form_data = {
'country': 'sg',
'latitude': str(lat),
'longitude': str(lng),
'sort': '',
'language_id': str(self.language_id),
'vertical': 'restaurants',
'include': 'characteristics',
'dynamic_pricing': '0',
'configuration': 'Variant1',
'use_free_delivery_label': 'true',
'limit': '50',
'offset': '0'
}
headers = {
'X-FP-API-KEY': 'volo',
'dps-session-id': dps_session_id,
'x-disco-client-id': 'web',
}
return scrapy.FormRequest(
api_url,
method='GET',
headers=headers,
formdata=form_data,
meta={
'page': page,
'lat': lat,
'lng': lng,
'item_meta': item_meta,
'start_position': start_position
},
callback=self.parse_search
)
Any clue or insight is appreciated.
I'm able to successfully pull file metadata from my SharePoint library with the Microsoft Graph API, but am having trouble pulling the properties of an item:
I can get a partial list of properties using this endpoint:
https://graph.microsoft.com/v1.0/sites/{site-id}/drives/{}/items/{}/children?$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.
When I import a JSON from a URL it says it has an extra character. Below is the:
Code:
import requests
import json
response = json.loads(requests.get("https://s3-us-west-2.amazonaws.com/anand-fhir-json/2e3b7aa0-0c90-4b31-8967-680f1438e03e").text)
print(res1);
JSON format:
{"id":{"s":"2"},"managingOrganization":{"s":"{'reference': 'Organization/hl7'}"},"address":{"s":"[{'use': 'home', 'line': ['2222 Home Street']}]"},"name":{"s":"[{'use': 'official', 'family': 'Everyman', 'given': ['Adam']}]"},"telecom":{"s":"[{'system': 'phone', 'value': '555-555-2004', 'use': 'work'}]"},"gender":{"s":"male"},"active":{"s":"true"},"birthDate":{"s":"null"},"meta":{"s":"{'lastUpdated': '2012-05-29T23:45:32Z'}"},"resourceType":{"s":"Patient"}}
{"id":{"s":"8"},"managingOrganization":{"s":"{'reference': 'Organization/hl7'}"},"address":{"s":"[{'use': 'home', 'line': ['4444 Home Street']}]"},"name":{"s":"[{'use': 'official', 'family': 'Mum', 'given': ['Martha']}]"},"telecom":{"s":"[{'system': 'phone', 'value': '555-555-2006', 'use': 'work'}]"},"gender":{"s":"female"},"active":{"s":"true"},"birthDate":{"s":"null"},"meta":{"s":"{'lastUpdated': '2012-05-29T23:45:32Z'}"},"resourceType":{"s":"Patient"}}
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)
I need to export a nested dictionary to CSV. Here's what each entry looks like (that needs to be one line in the csv later):
{'createdTime': '2017-10-30T12:33:02.000Z',
'fields': {'Date': '2017-10-30T12:32:56.000Z',
'field1': 'example#gmail.com',
'field2': 1474538185964188,
'field3': 6337,
....},
'id': 'reca7LBr64XM1ClWy'}
I think I need to iterate through the dictionary and create a list of lists(?) to create the csv from using the csv module.
['Date', 'field1', 'field2', 'field3', ...],
['2017-10-30T12:32:56.000Z', 'example#gmail.com', 1474538185964188, 6337 ...]
My problem is to find a smart way to iterate through the dict to get to a list like this.
You can get the values in the below way:
def process_data():
csv_data = [{'createdTime': '2017-10-30T12:33:02.000Z',
'fields': {'Date': '2017-10-30T12:32:56.000Z',
'field1': 'example#gmail.com',
'field2': 1474538185964188,
'field3': 6337},
'id': 'reca7LBr64XM1ClWy'},
{'createdTime': '2017-10-30T12:33:02.000Z',
'fields': {'Date': '2017-10-30T12:32:56.000Z',
'field1': 'example#gmail.com',
'field2': 1474538185964188,
'field3': 6337},
'id': 'reca7LBr64XM1ClWy'}]
headers = [key for key in csv_data[0]['fields'].keys()]
body = []
for row in csv_data:
body_row = []
for colomn_header in headers:
body_row.append(row['fields'][colomn_header])
body.append(body_row)
process_data()
#header -- ['Date', 'field1', 'field2', 'field3']
#body -- [['2017-10-30T12:32:56.000Z', 'example#gmail.com',
# 1474538185964188, 6337], ['2017-10-30T12:32:56.000Z',
# 'example#gmail.com', 1474538185964188, 6337]]