nested_dict = { b: { a: some_other_source_dict[b][a] or {} for a in a_list } for b in b_list }
If some_other_source_dict[b][a] exists, the correct output should be:
nested_dict = { b_key_1: { a_key_1: a_val_1, a_key_2: a_val_2 },
b_key_2: { a_key_1: a_val_3, a_key_2: a_val_4 } }
If it doesn't exist, the output should be:
nested_dict = { b_key_1: { a_key_1: {}, a_key_2: {} },
b_key_2: { a_key_1: {}, a_key_2: {} } }
some_other_source_dict[b][a] doesn't return a falsy value if it doesn't exist, it just errors. You want something like { a: some_other_source_dict[b][a] for a in a_list } if "some_other_source_dict" in globals() else {}. Preferably, you should have some way of determining whether or not it's defined without needing to check globals().
Related
I need to get the name information, inside the "object" list.
In this example I need this information (10.0.0.19)
"sourceNetworks":{
"objects":[
{
"type":"Host",
"overridable":false,
"id":"005056BF-7C6E-0ed3-0000-012884911113",
"name":"**10.0.0.19**"
}
]
}
I can get any information that is not in the "objects" lists with the command example_json[['metadata']['accessPolicy']['name']
and I get the "mb-test-01" information correctly from the json, but I don't know the syntax to get the items inside the "object" list.
to create this json I use in GET request this way
example_json = requests.get(f"https://{hostname}/api/fmc_config/v1/domain/{uuid}/policy/accesspolicies/{acp_id}/accessrules?expanded=true",headers=header_acp, verify=False).json()
follow the full json.
{
"metadata":{
"ruleIndex":1,
"section":"Mandatory",
"category":"--Undefined--",
"accessPolicy":{
"type":"AccessPolicy",
"name":"mb-test-01",
"id":"005056BF-7C6E-0ed3-0000-012884914323"
},
"timestamp":1635219651530,
"domain":{
"name":"Global",
"id":"e276abec-e0f2-11e3-8169-6d9ed49b625f",
"type":"Domain"
}
},
"links":{
"self":"https://fmcrestapisandbox.cisco.com/api/fmc_config/v1/domain/e276abec-e0f2-11e3-8169-6d9ed49b625f/policy/accesspolicies/005056BF-7C6E-0ed3-0000-012884914323/accessrules/005056BF-7C6E-0ed3-0000-000268434442"
},
"enabled":true,
"action":"ALLOW",
"type":"AccessRule",
"id":"005056BF-7C6E-0ed3-0000-000268434442",
"sourceNetworks":{
"objects":[
{
"type":"Host",
"overridable":false,
"id":"005056BF-7C6E-0ed3-0000-012884911113",
"name":"10.0.0.19"
}
]
},
"destinationNetworks":{
"objects":[
{
"type":"Host",
"overridable":false,
"id":"005056BF-7C6E-0ed3-0000-012884911491",
"name":"192.168.0.39"
}
]
},
"logBegin":false,
"logEnd":false,
"variableSet":{
"name":"Default-Set",
"id":"76fa83ea-c972-11e2-8be8-8e45bb1343c0",
"type":"VariableSet"
},
"logFiles":false,
"enableSyslog":false,
"vlanTags":{
},
"sendEventsToFMC":false,
"name":"rule-1"
}
Presumably you want to retrieve all "name"s under "objects" keys so you could use a recursive function:
def get_name(d):
for k,v in d.items():
if k=='objects':
for i in v:
yield i.get('name')
elif isinstance(v, dict):
yield from get_name(v)
names = list(get_name(data))
Output:
['10.0.0.19', '192.168.0.39']
I am trying to update transaction ID from the following json:
{
"locationId": "5115",
"transactions": [
{
"transactionId": "1603804404-5650",
"source": "WEB"
} ]
I have done following code for the same, but it does not update the transaction id, but it inserts the transaction id to the end of block:-
try:
session = requests.Session()
with open(
"sales.json",
"r") as read_file:
payload = json.load(read_file)
payload["transactionId"] = random.randint(0, 5)
with open(
"sales.json",
"w") as read_file:
json.dump(payload, read_file)
Output:-
{
"locationId": "5115",
"transactions": [
{
"transactionId": "1603804404-5650",
"source": "WEB"
} ]
}
'transactionId': 1
}
Expected Outut:-
{
"locationId": "5115",
"transactions": [
{
"transactionId": "1",
"source": "WEB"
} ]
This would do it, but only in your specific case:
payload["transactions"][0]["transactionId"] = xxx
There should be error handling for cases like "transactions" key is not int the dict, or there are no records or there are more than one
also, you will need to assign =str(your_random_number) not the int if you wish to have the record of type string as the desired output suggests
If you just want to find the transactionId key and you don't know exactly where it may exist. You can do-
from collections.abc import Mapping
def update_key(key, new_value, jsondict):
new_dict = {}
for k, v in jsondict.items():
if isinstance(v, Mapping):
# Recursive traverse if value is a dict
new_dict[k] = update_key(key, new_value, v)
elif isinstance(v, list):
# Traverse through all values of list
# Recursively traverse if an element is a dict
new_dict[k] = [update_key(key, new_value, innerv) if isinstance(innerv, Mapping) else innerv for innerv in v]
elif k == key:
# This is the key to replace with new value
new_dict[k] = new_value
else:
# Just a regular value, assign to new dict
new_dict[k] = v
return new_dict
Given a dict-
{
"locationId": "5115",
"transactions": [
{
"transactionId": "1603804404-5650",
"source": "WEB"
} ]
}
You can do-
>>> update_key('transactionId', 5, d)
{'locationId': '5115', 'transactions': [{'transactionId': 5, 'source': 'WEB'}]}
Yes because transactionId is inside transactions node. So your code should be like:
payload["transactions"][0].transactionId = random.randint(0, 5)
or
payload["transactions"][0]["transactionId"] = random.randint(0, 5)
I'm building json format and the expected is as below:
{
accounts:[ {
"acctnum": "acct1",
"key2":"value2"
"key3": []
"summary" : {
//nested dict
}
}
] //if we have 1 account for given customer
}
If we have more than one account for customer:
{
accounts:[ {
"acctnum": "acct1", // for acct1
"key2":"value2"
"key3": []
"summary" : {
//nested dict
}
},
{
"acctnum": "acct2", //for acct2
"key2":"value3"
"key3": []
"summary" : {
//nested dict
}
}
]
}
After building the dictionary with required attributes for acct1, my code towards end is (and have question if I should be using collections module):
acctlist = []
acctlist = results //results is dict for acct1 (with nested dict)
print(acctlist)
accounts = {}
accounts["accounts"] = acctlist
j = json.dumps(accounts, indent=4)
print(j)
But the actual json format comes out as:
{
accounts: {
"acctnum": "acct1",
"key2":"value2"
"key3": []
"summary1" : {
//nested dict
}
}
}
Your print statement likely answers your question. Is it a list?
acctlist = []
acctlist = results //results is dict for acct1 (with nested dict)
print(acctlist)
I suspect you meant to do acctlist.append(results)
I'm trying to create a Python function to convert the lists (Objects of arrays in ELK term) to dictionary. I found a sample Ruby function which does that and I'm trying to convert it to Python function for my usage. I'm finding hard time to get the output. The output will be inserted back to Elastic Search.
Ruby Function - I found in Internet
def arrays_to_hash(h)
h.each do |k,v|
# If v is nil, an array is being iterated and the value is k.
# If v is not nil, a hash is being iterated and the value is v.
value = v || k
if value.is_a?(Array)
# "value" is replaced with "value_hash" later.
value_hash = {}
value.each_with_index do |v, i|
value_hash[i.to_s] = v
end
h[k] = value_hash
end
if value.is_a?(Hash) || value.is_a?(Array)
arrays_to_hash(value)
end
end
end
Python Function - I'm trying - Upon seeing the O/P i can see the first list inside the dictionary is getting converted but the nested list inside that is still present
def array_path(my_dict):
for k,v in my_dict.items():
if isinstance(v,list):
print (len(v))
for i, item in enumerate(v):
my_dict2[str(i)] = item
my_dict[k] = my_dict2
elif isinstance(v,dict):
array_path(v)
else:
my_dict[k] = v
Input
{
"foo": "bar",
"test": {
"steps": [
{
"response_time": "100"
},
{
"response_time": "101",
"more_nested": [
{
"hello": "world"
},
{
"hello2": "world2"
}
]
}
]
}
}
**
Expected Output
**
{
"foo": "bar",
"test": {
"steps": {
"0": {
"response_time": "100"
},
"1": {
"response_time": "101",
"more_nested": {
"0": {
"hello": "world"
},
"1": {
"hello2": "world2"
}
}
}
}
}
}
Current O/P
{'0': {'response_time': '100'},
'1': {'more_nested': [{'hello': 'world'}, {'hello2': 'world2'}],
'response_time': '101'}}
the original script stopped its check to list, not implementing a solution for a list of dicts. looks ok now
def array_path(my_dict):
if type(my_dict) is dict:
for k, v in my_dict.items():
my_dict[k] = array_path(v)
elif type(my_dict) is list:
return {str(i): array_path(item) for i, item in enumerate(my_dict)}
return my_dict
I have the following list of dicts in python.
[
{
"US": {
"Intial0": 12.515
},
{
"GE": {
"Intial0": 11.861
}
},
{
"US": {
"Final0": 81.159
}
},
{
"GE": {
"Final0": 12.9835
}
}
]
I want the final list of dicts as
[{"US": {"Initial0":12.515, "Final0": 81.159}}, {"GE": {"Initial0": 11.861, "Final0": 12.9835}}]
I am struggling with this from quite some time . Any help?
You could use Python's defaultdict as follows:
from collections import defaultdict
lod = [
{"US": {"Intial0": 12.515}},
{"GE": {"Intial0": 11.861}},
{"US": {"Final0": 81.159}},
{"GE": {"Final0": 12.9835}}]
output = defaultdict(dict)
for d in lod:
output[d.keys()[0]].update(d.values()[0])
print output
For the data given, this would display the following:
defaultdict(<type 'dict'>, {'GE': {'Intial0': 11.861, 'Final0': 12.9835}, 'US': {'Intial0': 12.515, 'Final0': 81.159}})
Or you could convert it back to a standard Python dictionary with print dict(output) giving:
{'GE': {'Intial0': 11.861, 'Final0': 12.9835}, 'US': {'Intial0': 12.515, 'Final0': 81.159}}
list1=[{"US": {"Intial0": 12.515}},{"GE": {"Intial0": 11.861}},{"US": {"Final0": 81.159}},{"GE": {"Final0": 12.9835}}]
dict_US={}
dict_GE={}
for dict_x in list1:
if dict_x.keys()==['US']:
dict_US.update(dict_x["US"])
if dict_x.keys()==['GE']:
dict_GE.update(dict_x["GE"])
list2=[{"US":dict_US},{"GE":dict_GE}]
print list2