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I have tried everything I can possible come up with, but the value wont go away.
I have a JSON user and if user['permissions'] have key permission = "DELETE PAGE" remove that index of del user['permissions'][1] (in this example)
I want to have a list of possible values as "DELETE PAGE" and so on. If value in key, then delete that index.
Then return the users json without those items found.
I have tried del user['permission][x] and .pop() and so on but it is still there.
{
'id': 123,
'name': 'My name',
'description': 'This is who I am',
'permissions': [{
'id': 18814,
'holder': {
'type': 'role',
'parameter': '321',
'projectRole': {
'name': 'Admin',
'id': 1,
}
},
'permission': 'VIEW PAGE'
}, {
'id': 18815,
'holder': {
'type': 'role',
'parameter': '123',
'projectRole': {
'name': 'Moderator',
'id': 2
}
},
'permission': 'DELETE PAGE'
}]
}
Here's the code:
perm = a['permissions']
for p in perm:
if p['permission'] == 'DELETE PAGE':
perm.remove(p)
print(a)
Output:
{'id': 123, 'name': 'My name', 'description': 'This is who I am', 'permissions': [{'id': 18814, 'holder': {'type': 'role', 'parameter': '321', 'projectRole': {'name': 'Admin', 'id': 1}}, 'permission': 'VIEW PAGE'}]}
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'
This is my first time dealing with json data. So I'm not that familiar with the structure of json.
I got some data through "we the people" e-petition sites with following code:
url = "https://api.whitehouse.gov/v1/petitions.json?limit=3&offset=0&createdBefore=1573862400"
jdata_2 = requests.get(url).json()
Yet, I realize this is something different from... the ordinary json structure since I got some error while I tried to convert it into excel file with pandas
df = pandas.read_json(jdata_2)
Obviously, I must miss something which I must have done before using pandas.read_json() code.
I have searched for the answer but most of questions are "How can I convert json data into excel data", which needs json data. For my case, I scraped it from the url, so I thought I could make that strings into json data, and then try to convert it into excel data as well. So I tried to use json.dump() as well, but it didn't work as well.
I know it must be the naive question. But I'm not sure where I can start with this naive question. If anyone can instruct me how to deal with it, I would really appreciate it. Or link me some references that I can study as well.
Thank you for your help in advance.
This is the json data with the requests, and I pprint it with indent=4.
Input:
url = "https://api.whitehouse.gov/v1/petitions.json?limit=3&offset=0&createdBefore=1573862400"
pp = pprint.PrettyPrinter(indent=4)
pp.pprint(jdata_2)
Output :
{ 'metadata': { 'requestInfo': { 'apiVersion': 1,
'query': { 'body': None,
'createdAfter': None,
'createdAt': None,
'createdBefore': '1573862400',
'isPublic': 1,
'isSignable': None,
'limit': '3',
'mock': 0,
'offset': '0',
'petitionsDefaultLimit': '1000',
'publicThreshold': 149,
'responseId': None,
'signatureCount': None,
'signatureCountCeiling': None,
'signatureCountFloor': 0,
'signatureThreshold': None,
'signatureThresholdCeiling': None,
'signatureThresholdFloor': None,
'sortBy': 'DATE_REACHED_PUBLIC',
'sortOrder': 'ASC',
'status': None,
'title': None,
'url': None,
'websiteUrl': 'https://petitions.whitehouse.gov'},
'resource': 'petitions'},
'responseInfo': { 'developerMessage': 'OK',
'errorCode': '',
'moreInfo': '',
'status': 200,
'userMessage': ''},
'resultset': {'count': 1852, 'limit': 3, 'offset': 0}},
'results': [ { 'body': 'Please save kurdish people in syria \r\n'
'pleaee save north syria',
'created': 1570630389,
'deadline': 1573225989,
'id': '2798897',
'isPublic': True,
'isSignable': False,
'issues': [ { 'id': 326,
'name': 'Homeland Security & '
'Defense'}],
'petition_type': [ { 'id': 291,
'name': 'Call on Congress to '
'act on an issue'}],
'reachedPublic': 0,
'response': [],
'signatureCount': 149,
'signatureThreshold': 100000,
'signaturesNeeded': 99851,
'status': 'closed',
'title': 'Please save rojava north syria\r\n'
'please save kurdish people\r\n'
'please stop erdogan\r\n'
'plaease please',
'type': 'petition',
'url': 'https://petitions.whitehouse.gov/petition/please-save-rojava-north-syria-please-save-kurdish-people-please-stop-erdogan-plaease-please'},
{ 'body': 'Kane Friess was a 2 year old boy who was '
"murdered by his mom's boyfriend, Gyasi "
'Campbell. Even with expert statements from '
'forensic anthropologists, stating his injuries '
'wete the result of homicide. Mr. Campbell was '
'found guilty of involuntary manslaughter. This '
"is an outrage to Kane's Family and our "
'community.',
'created': 1566053365,
'deadline': 1568645365,
'id': '2782248',
'isPublic': True,
'isSignable': False,
'issues': [ { 'id': 321,
'name': 'Criminal Justice Reform'}],
'petition_type': [ { 'id': 281,
'name': 'Change an existing '
'Administration '
'policy'}],
'reachedPublic': 0,
'response': [],
'signatureCount': 149,
'signatureThreshold': 100000,
'signaturesNeeded': 99851,
'status': 'closed',
'title': "Kane's Law. Upon which the murder of a child, "
'regardless of circumstances, be seen as 1st '
'degree murder. A Federal Law.',
'type': 'petition',
'url': 'https://petitions.whitehouse.gov/petition/kanes-law-upon-which-murder-child-regardless-circumstances-be-seen-1st-degree-murder-federal-law'},
{ 'body': "Schumer and Pelosi's hatred and refusing to "
'work with President Donald J. Trump is holding '
'America hostage. We the people know securing '
'our southern border is a priority which will '
'not happen with these two in office. Lets '
'build the wall NOW!',
'created': 1547050064,
'deadline': 1549642064,
'id': '2722358',
'isPublic': True,
'isSignable': False,
'issues': [ {'id': 306, 'name': 'Budget & Taxes'},
{ 'id': 326,
'name': 'Homeland Security & '
'Defense'},
{'id': 29, 'name': 'Immigration'}],
'petition_type': [ { 'id': 291,
'name': 'Call on Congress to '
'act on an issue'}],
'reachedPublic': 0,
'response': [],
'signatureCount': 149,
'signatureThreshold': 100000,
'signaturesNeeded': 99851,
'status': 'closed',
'title': 'Remove Chuck Schumer and Nancy Pelosi from '
'office',
'type': 'petition',
'url': 'https://petitions.whitehouse.gov/petition/remove-chuck-schumer-and-nancy-pelosi-office'}]}
And this is the Error message I got
Input :
df = pandas.read_json(jdata_2)
Output :
ValueError: Invalid file path or buffer object type: <class 'dict'>
You can try the below code as well, it is working fine
URL = "https://api.whitehouse.gov/v1/petitions.json?limit=3&offset=0&createdBefore=1573862400"
// fetching the json response from the URL
req = requests.get(URL)
text_data= req.text
json_dict= json.loads(text_data)
//converting json dictionary to python dataframe for results object
df = pd.DataFrame.from_dict(json_dict["results"])
Finally, saving the dataframe to excel format i.e xlsx
df.to_excel("output.xlsx")
This is my first question :)
I loop over a nested dictionary to print specific values. I am using the following code.
for i in lizzo_top_tracks['tracks']:
print('Track Name: ' + i['name'])
It works for string variables, but does not work for other variables. For example, when I use the following code for the date variable:
for i in lizzo_top_tracks['tracks']:
print('Album Release Date: ' + i['release_date'])
I receive a message like this KeyError: 'release_date'
What should I do?
Here is a sample of my nested dictionary:
{'tracks': [{'album': {'album_type': 'album',
'artists': [{'external_urls': {'spotify': 'https://open.spotify.com/artist/56oDRnqbIiwx4mymNEv7dS'},
'href': 'https://api.spotify.com/v1/artists/56oDRnqbIiwx4mymNEv7dS',
'id': '56oDRnqbIiwx4mymNEv7dS',
'name': 'Lizzo',
'type': 'artist',
'uri': 'spotify:artist:56oDRnqbIiwx4mymNEv7dS'}],
'external_urls': {'spotify': 'https://open.spotify.com/album/74gSdSHe71q7urGWMMn3qB'},
'href': 'https://api.spotify.com/v1/albums/74gSdSHe71q7urGWMMn3qB',
'id': '74gSdSHe71q7urGWMMn3qB',
'images': [{'height': 640,
'width': 640}],
'name': 'Cuz I Love You (Deluxe)',
'release_date': '2019-05-03',
'release_date_precision': 'day',
'total_tracks': 14,
'type': 'album',
'uri': 'spotify:album:74gSdSHe71q7urGWMMn3qB'}]}
The code you posted isn't syntactically correct; running it through a Python interpreter gives a syntax error on the last line. It looks like you lost a curly brace somewhere toward the end. :)
I went through it and fixed up the white space to make the structure easier to see; the way you had it formatted made it hard to see which keys were at which level of nesting, but with consistent indentation it becomes much clearer:
lizzo_top_tracks = {
'tracks': [{
'album': {
'album_type': 'album',
'artists': [{
'external_urls': {
'spotify': 'https://open.spotify.com/artist/56oDRnqbIiwx4mymNEv7dS'
},
'href': 'https://api.spotify.com/v1/artists/56oDRnqbIiwx4mymNEv7dS',
'id': '56oDRnqbIiwx4mymNEv7dS',
'name': 'Lizzo',
'type': 'artist',
'uri': 'spotify:artist:56oDRnqbIiwx4mymNEv7dS'
}],
'external_urls': {
'spotify': 'https://open.spotify.com/album/74gSdSHe71q7urGWMMn3qB'
},
'href': 'https://api.spotify.com/v1/albums/74gSdSHe71q7urGWMMn3qB',
'id': '74gSdSHe71q7urGWMMn3qB',
'images': [{'height': 640, 'width': 640}],
'name': 'Cuz I Love You (Deluxe)',
'release_date': '2019-05-03',
'release_date_precision': 'day',
'total_tracks': 14,
'type': 'album',
'uri': 'spotify:album:74gSdSHe71q7urGWMMn3qB'
}
}]
}
So the first (and only) value you get for i in lizzo_top_tracks['tracks'] is going to be this dictionary:
i = {
'album': {
'album_type': 'album',
'artists': [{
'external_urls': {
'spotify': 'https://open.spotify.com/artist/56oDRnqbIiwx4mymNEv7dS'
},
'href': 'https://api.spotify.com/v1/artists/56oDRnqbIiwx4mymNEv7dS',
'id': '56oDRnqbIiwx4mymNEv7dS',
'name': 'Lizzo',
'type': 'artist',
'uri': 'spotify:artist:56oDRnqbIiwx4mymNEv7dS'
}],
'external_urls': {
'spotify': 'https://open.spotify.com/album/74gSdSHe71q7urGWMMn3qB'
},
'href': 'https://api.spotify.com/v1/albums/74gSdSHe71q7urGWMMn3qB',
'id': '74gSdSHe71q7urGWMMn3qB',
'images': [{'height': 640, 'width': 640}],
'name': 'Cuz I Love You (Deluxe)',
'release_date': '2019-05-03',
'release_date_precision': 'day',
'total_tracks': 14,
'type': 'album',
'uri': 'spotify:album:74gSdSHe71q7urGWMMn3qB'
}
}
The only key in this dictionary is 'album', the value of which is another dictionary that contains all the other information. If you want to print, say, the album release date and a list of the artists' names, you'd do:
for track in lizzo_top_tracks['tracks']:
print('Album Release Date: ' + track['album']['release_date'])
print('Artists: ' + str([artist['name'] for artist in track['album']['artists']]))
If these are dictionaries that you're building yourself, you might want to remove some of the nesting layers where there's only a single key, since they just make it harder to navigate the structure without giving you any additional information. For example:
lizzo_top_albums = [{
'album_type': 'album',
'artists': [{
'external_urls': {
'spotify': 'https://open.spotify.com/artist/56oDRnqbIiwx4mymNEv7dS'
},
'href': 'https://api.spotify.com/v1/artists/56oDRnqbIiwx4mymNEv7dS',
'id': '56oDRnqbIiwx4mymNEv7dS',
'name': 'Lizzo',
'type': 'artist',
'uri': 'spotify:artist:56oDRnqbIiwx4mymNEv7dS'
}],
'external_urls': {
'spotify': 'https://open.spotify.com/album/74gSdSHe71q7urGWMMn3qB'
},
'href': 'https://api.spotify.com/v1/albums/74gSdSHe71q7urGWMMn3qB',
'id': '74gSdSHe71q7urGWMMn3qB',
'images': [{'height': 640, 'width': 640}],
'name': 'Cuz I Love You (Deluxe)',
'release_date': '2019-05-03',
'release_date_precision': 'day',
'total_tracks': 14,
'type': 'album',
'uri': 'spotify:album:74gSdSHe71q7urGWMMn3qB'
}]
This structure allows you to write the query the way you were originally trying to do it:
for album in lizzo_top_albums:
print('Album Release Date: ' + album['release_date'])
print('Artists: ' + str([artist['name'] for artist in album['artists']]))
Much simpler, right? :)
I have a YAML file that parses into an object, e.g.:
{'name': [{'proj_directory': '/directory/'},
{'categories': [{'quick': [{'directory': 'quick'},
{'description': None},
{'table_name': 'quick'}]},
{'intermediate': [{'directory': 'intermediate'},
{'description': None},
{'table_name': 'intermediate'}]},
{'research': [{'directory': 'research'},
{'description': None},
{'table_name': 'research'}]}]},
{'nomenclature': [{'extension': 'nc'}
{'handler': 'script'},
{'filename': [{'id': [{'type': 'VARCHAR'}]},
{'date': [{'type': 'DATE'}]},
{'v': [{'type': 'INT'}]}]},
{'data': [{'time': [{'variable_name': 'time'},
{'units': 'minutes since 1-1-1980 00:00 UTC'},
{'latitude': [{'variable_n...
I'm having trouble accessing the data in python and regularly see the error TypeError: list indices must be integers, not str
I want to be able to access all elements corresponding to 'name' so to retrieve each data field I imagine it would look something like:
import yaml
settings_stream = open('file.yaml', 'r')
settingsMap = yaml.safe_load(settings_stream)
yaml_stream = True
print 'loaded settings for: ',
for project in settingsMap:
print project + ', ' + settingsMap[project]['project_directory']
and I would expect each element would be accessible via something like ['name']['categories']['quick']['directory']
and something a little deeper would just be:
['name']['nomenclature']['data']['latitude']['variable_name']
or am I completely wrong here?
The brackets, [], indicate that you have lists of dicts, not just a dict.
For example, settingsMap['name'] is a list of dicts.
Therefore, you need to select the correct dict in the list using an integer index, before you can select the key in the dict.
So, giving your current data structure, you'd need to use:
settingsMap['name'][1]['categories'][0]['quick'][0]['directory']
Or, revise the underlying YAML data structure.
For example, if the data structure looked like this:
settingsMap = {
'name':
{'proj_directory': '/directory/',
'categories': {'quick': {'directory': 'quick',
'description': None,
'table_name': 'quick'}},
'intermediate': {'directory': 'intermediate',
'description': None,
'table_name': 'intermediate'},
'research': {'directory': 'research',
'description': None,
'table_name': 'research'},
'nomenclature': {'extension': 'nc',
'handler': 'script',
'filename': {'id': {'type': 'VARCHAR'},
'date': {'type': 'DATE'},
'v': {'type': 'INT'}},
'data': {'time': {'variable_name': 'time',
'units': 'minutes since 1-1-1980 00:00 UTC'}}}}}
then you could access the same value as above with
settingsMap['name']['categories']['quick']['directory']
# quick