I am using the following filters in Postman to make a POST request in a Web API but I am unable to make a simple POST request in Python with the requests library.
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I think, you can use requests library as follows:
import requests
import json
payload = {'field':'T_Subcategory','operator':'neq','value':'Temporary Degradation'}
url = requests.post("http://10.61.202.98:8081/T/a/api/rows/cat/ect/tickets",data=json.dumps(payload))
You are sending user in url, use it through post, but its depend upon how end points are implemented. You can try the below code :
import requests
from json import dumps
data = {'user_name':'user&001'}
headers = {'Content-Type': 'application/json', 'Accept': 'application/json'}
url = "http://10.61.202.98:8081/T/a/api/rows/cat/ect/tickets/"
r = requests.post(url, headers=headers, data=dumps(data))
I would recommend using the json
attribute instead of data. It handles the dumping for you.
import requests
data = {'user_name':'user&001'}
headers = {'Content-Type': 'application/json', 'Accept': 'application/json'}
url = "http://10.61.202.98:8081/T/a/api/rows/cat/ect/tickets/"
r = requests.post(url, headers=headers, json=data)
Update, answer for question 3. Is there a reason you are using urllib? I’d use python requests as well for this request.
import requests
def get_json():
r = requests.get("http://10.61.202.98:8081/T/a/api/rows/cat/ect/tickets”, params={"user_name": user_name.replace(" ", "&")})
return r.json
# not sure what you’re doing here, more context/code example would help
def get_tickets_not_temp_degradation(start_date, end_date, complete_):
return Counter([k['user_name'] for k in complete_data if start_date < dateutil.parser.parse(k.get('DateTime')) < end_date and k['T_subcategory'] != 'Temporary Degradation'])
Also, is the username really supposed to be user+001
and not user&001
or user 001
?
Your Postman request is a JSON body. Just reproduce that same body in Python. Your Python code is not sending JSON, nor is it sending the same data as your Postman sample.
For starters, sending a dictionary via the data
arguments encodes that dictionary to application/x-www-form-urlencoded
form, not JSON. Secondly, you appear to be sending a single filter.
The following code replicates your Postman post exactly:
import requests
filters = {"filter": {
"filters": [{
"field": "RCA_Assigned_Date",
"operator": "gte",
"value": "2017-05-31 00:00:00"
}, {
"field": "RCA_Assigned_Date",
"operator": "lte",
"value": "2017-06-04 00:00:00"
}, {
"field": "T_Subcategory",
"operator": "neq",
"value": "Temporary Degradation"
}, {
"field": "Issue_Status",
"operator": "neq",
"value": "Queued"
}],
"logic": "and"
}}
url = "http://10.61.202.98:8081/T/a/api/rows/cat/ect/tickets"
response = requests.post(url, json=filters)
Note that filters
is a Python data structure here, and that it is passed to the json
keyword argument. Using the latter does two things:
Content-Type
header to application/json
(as you did in your Postman configuration by picking the JSON
option in the dropdown menu after picking raw
for the body).requests
is otherwise just an HTTP API, it can't make Cassandra do any more than any other HTTP library. The urllib.request.urlopen
code sends GET
requests, and are trivially translated to requests
with:
def get_json():
url = "http://10.61.202.98:8081/T/a/api/rows/cat/ect/tickets"
response = requests.get(url, params={'user_name': user}, timeout=15)
return response.json()
I removed the if
branching and replaced that with using the params
argument, which translates a dictionary of key-value pairs to a correctly encoded URL query (passing in the user name as the user_name
key).
Note the json()
call on the response; this takes care of decoding JSON data coming back from the server. This still takes long, you are not filtering the Cassandra data much here.