I am hitting an API to get ID based on parameters passed from database, script below shows only the API part. I am passing 2 columns. If both the columns have data in the database, then it hits API-1. If only 2nd column has a data then it hits API-2 via API-1. The problem is in printing the response, because both the API have different structure.
Pretty Structure of API-1:
"body": {
"type1": {
"id": id_data,
"col1": "col1_data",
"col2": "col2_data"}
}
Pretty Structure of API-2:
"body": {
"id": id_data,
"col2": "col2_data"
}
Python Code:
print (resp['body']['type1']['id'], resp['body']['type1']['col1'], resp['body']['type1']['col2'])
As you can see structure is different and 'print' works if both the parameters are sent but it fails when only 2nd column is sent as parameter.
Create a printer that handles both cases graciously:
id_data = "whatever"
data1 = {"body": { "type1": { "id": id_data, "col1": "col1_data", "col2": "col2_data"} }}
data2 = { "body": { "id": id_data, "col2": "col2_data"}}
def printit(d):
# try to acces d["body"]["type1"] - fallback to d["body"] - store it
myd = d["body"].get("type1",d["body"])
did = myd.get("id") # get id
col1 = myd.get("col1") # mabye get col1
col2 = myd.get("col2") # get col2
# print what is surely there, check for those that might miss
print(did)
if col1:
print(col1)
print(col2 + "\n")
printit(data1)
printit(data2)
Output:
# data1
whatever
col1_data
col2_data
# data2
whatever
col2_data
Related
I'm having a difficult time figuring out how to pull specific information from a json file.
So far I have this:
# Import json library
import json
# Open json database file
with open('jsondatabase.json', 'r') as f:
data = json.load(f)
# assign variables from json data and convert to usable information
identifier = data['ID']
identifier = str(identifier)
name = data['name']
name = str(name)
# Collect data from user to compare with data in json file
print("Please enter your numerical identifier and name: ")
user_id = input("Numerical identifier: ")
user_name = input("Name: ")
if user_id == identifier and user_name == name:
print("Your inputs matched. Congrats.")
else:
print("Your inputs did not match our data. Please try again.")
And that works great for a simple JSON file like this:
{
"ID": "123",
"name": "Bobby"
}
But ideally I need to create a more complex JSON file and can't find deeper information on how to pull specific information from something like this:
{
"Parent": [
{
"Parent_1": [
{
"Name": "Bobby",
"ID": "123"
}
],
"Parent_2": [
{
"Name": "Linda",
"ID": "321"
}
]
}
]
}
Here is an example that you might be able to pick apart.
You could either:
Make a custom de-jsonify object_hook as shown below and do something with it. There is a good tutorial here.
Just gobble up the whole dictionary that you get without a custom de-jsonify and drill down into it and make a list or set of the results. (not shown)
Example:
import json
from collections import namedtuple
data = '''
{
"Parents":
[
{
"Name": "Bobby",
"ID": "123"
},
{
"Name": "Linda",
"ID": "321"
}
]
}
'''
Parent = namedtuple('Parent', ['name', 'id'])
def dejsonify(json_str: dict):
if json_str.get("Name"):
parent = Parent(json_str.get('Name'), int(json_str.get('ID')))
return parent
return json_str
res = json.loads(data, object_hook=dejsonify)
print(res)
# then we can do whatever... if you need lookups by name/id,
# we could put the result into a dictionary
all_parents = {(p.name, p.id) : p for p in res['Parents']}
lookup_from_input = ('Bobby', 123)
print(f'found match: {all_parents.get(lookup_from_input)}')
Result:
{'Parents': [Parent(name='Bobby', id=123), Parent(name='Linda', id=321)]}
found match: Parent(name='Bobby', id=123)
I have a post body data as:
"My data": [{
"Data": {
"var1": 6.66,
"var2": 8.88
},
"var3": 9
}],
Here, if I post these details on POST DATA body, it will call "My Data" just once. I want to make it random as starting from 1 to 10 times so that "My data" is running for several times but randomly. If the random value is 2, then "My data" should run twice.
Help appreciated!
If you need to generate more blocks like this one:
{
"Data": {
"var1": 6.66,
"var2": 8.88
},
"var3": 9
}
It can be done using JSR223 PreProcessor and the following code:
def myData = []
1.upto(2, {
def entry = [:]
entry.put('Data', [var1: 6.66, var2: 8.88])
entry.put('var3', '9')
myData.add(entry)
})
vars.put('myData', new groovy.json.JsonBuilder(myData).toPrettyString())
log.info(vars.get('myData'))
The above example will generate 2 blocks:
If you want 10 - change 2 in the 1.upto(2, { line to 10
The generated data can be accessed as ${myData} where needed.
More information:
Apache Groovy - Parsing and producing JSON
Apache Groovy - Why and How You Should Use It
I want to practice building models and I figured that I'd do it with something that I am familiar with: League of Legends. I'm having trouble replacing an integer in a dataframe with a value in a json.
The datasets I'm using come off of the kaggle. You can grab it and run it for yourself.
https://www.kaggle.com/datasnaek/league-of-legends
I have json file of the form: (it's actually must bigger, but I shortened it)
{
"type": "champion",
"version": "7.17.2",
"data": {
"1": {
"title": "the Dark Child",
"id": 1,
"key": "Annie",
"name": "Annie"
},
"2": {
"title": "the Berserker",
"id": 2,
"key": "Olaf",
"name": "Olaf"
}
}
}
and dataframe of the form
print df
gameDuration t1_champ1id
0 1949 1
1 1851 2
2 1493 1
3 1758 1
4 2094 2
I want to replace the ID in t1_champ1id with the lookup value in the json.
If both of these were dataframe, then I could use the merge option.
This is what I've tried. I don't know if this is the best way to read in the json file.
import pandas
df = pandas.read_csv("lol_file.csv",header=0)
champ = pandas.read_json("champion_info.json", typ='series')
for i in champ.data[0]:
for j in df:
if df.loc[j,('t1_champ1id')] == i:
df.loc[j,('t1_champ1id')] = champ[0][i]['name']
I get the below error:
the label [gameDuration] is not in the [index]'
I'm not sure that this is the most efficient way to do this, but I'm not sure how to do it at all either.
What do y'all think?
Thanks!
for j in df: iterates over the column names in df, which is unnecessary, since you're only looking to match against the column 't1_champ1id'. A better use of pandas functionality is to condense the id:name pairs from your JSON file into a dictionary, and then map it to df['t1_champ1id'].
player_names = {v['id']:v['name'] for v in json_file['data'].itervalues()}
df.loc[:, 't1_champ1id'] = df['t1_champ1id'].map(player_names)
# gameDuration t1_champ1id
# 0 1949 Annie
# 1 1851 Olaf
# 2 1493 Annie
# 3 1758 Annie
# 4 2094 Olaf
Created a dataframe from the 'data' in the json file (also transposed the resulting dataframe and then set the index to what you want to map, the id) then mapped that to the original df.
import json
with open('champion_info.json') as data_file:
champ_json = json.load(data_file)
champs = pd.DataFrame(champ_json['data']).T
champs.set_index('id',inplace=True)
df['champ_name'] = df.t1_champ1id.map(champs['name'])
I'm trying to parse a json file with OpenStruct. Json file has an array for Skills. When I parse it I get some extra "garbage" returned. How do I get rid of it?
json
{
"Job": "My Job 1",
"Skills": [{ "Name": "Name 1", "ClusterName": "Cluster Name 1 Skills"},{ "Name": "Name 2", "ClusterName": "Cluster Name 2 Skills"}]
}
require 'ostruct'
require 'json'
json = File.read('1.json')
job = JSON.parse(json, object_class: OpenStruct)
puts job.Skills
#<OpenStruct Name="Name 1", ClusterName="Cluster Name 1 Skills">
#<OpenStruct Name="Name 2", ClusterName="Cluster Name 2 Skills">
If by garbage, you mean #<OpenStruct and ">, it is just the way Ruby represents objects when called with puts. It is useful for development and debugging, and it makes it easier to understand the difference between a String, an Array, an Hash and an OpenStruct.
If you just want to display the name and cluster name, and nothing else :
puts job.Job
job.Skills.each do |skill|
puts skill.Name
puts skill.ClusterName
end
It returns :
My Job 1
Name 1
Cluster Name 1 Skills
Name 2
Cluster Name 2 Skills
EDIT:
When you use job = JSON.parse(json, object_class: OpenStruct), your job variable becomes an OpenStruct Ruby object, which has been created from a json file.
It doesn't have anything to do with json though: it is not a json object anymore, so you cannot just write it back to a .json file and expect it to have the correct syntax.
OpenStruct doesn't seem to work well with to_json, so it might be better to remove object_class: OpenStruct, and just work with hashes and arrays.
This code reads 1.json, convert it to a Ruby object, adds a skill, modifies the job name, writes the object to 2.json, and reads it again as JSON to check that everything worked fine.
require 'json'
json = File.read('1.json')
job = JSON.parse(json)
job["Skills"] << {"Name" => "Name 3", "ClusterName" => "Cluster Name 3 Skills"}
job["Job"] += " (modified version)"
# job[:Fa] = 'blah'
File.open('2.json', 'w'){|out|
out.puts job.to_json
}
require 'pp'
pp JSON.parse(File.read('2.json'))
# {"Job"=>"My Job 1 (modified version)",
# "Skills"=>
# [{"Name"=>"Name 1", "ClusterName"=>"Cluster Name 1 Skills"},
# {"Name"=>"Name 2", "ClusterName"=>"Cluster Name 2 Skills"},
# {"Name"=>"Name 3", "ClusterName"=>"Cluster Name 3 Skills"}]}
I have retrieved remote json using urllib.request in python3 and would like to to dump, line by line, the value of the IP addresses only (ie. ip:127.0.0.1 would be 127.0.0.1, next line is next IP) if it matches certain criteria. Other key values include a score (one integer value per category) and category (one or more string values possible).
I want to check if the score is higher than, say 10, AND the category number equals a list of one OR more values. If it fits the params, I just need those IP addresses added line by line to a text file.
Here is how I retrieve the json:
ip_fetch = urllib.request.urlopen('https://testonly.com/ip.json').read().decode('utf8')
I have the json module loaded, but don't know where to go from here.
Example of json data I'm working with, more than one category:
"127.0.0.1" : {
"Test" : "10",
"Prod" : "20"
},
I wrote a simple example that should show you how to iterate trough json objects and how to write to a file:
import json
j = json.loads(test)
threshold = 10
validCategories = ["Test"]
f=open("test.txt",'w')
for ip, categories in j.items():
addToList = False
for category, rank in categories.items():
if category in validCategories and int(rank) >= threshold:
addToList = True
if addToList:
f.write("{}\n".format(ip))
f.close()
I hope that helps you to get started. For testing I used the following json-string:
test = """
{
"127.0.0.1" : {
"Test" : "10",
"Prod" : "20"
},
"127.0.0.2" : {
"Test" : "5",
"Prod" : "20"
},
"127.0.0.3" : {
"Test" : "5",
"Prod" : "5",
"Test2": "20"
}
}
"""