Develop Reference

Struggling with how to iterate data

I am learning Python3 and I have a fairly simple task to complete but I am struggling how to glue it all together. I need to query an API and return the full list of applications which I can do and I store this and need to use it again to gather more data for each application from a different API call.
applistfull = requests.get(url,authmethod)
if applistfull.ok:
data = applistfull.json()
for app in data["_embedded"]["applications"]:
print(app["profile"]["name"],app["guid"])
summaryguid = app["guid"]
else:
print(applistfull.status_code)
I next have I think 'summaryguid' and I need to again query a different API and return a value that could exist many times for each application; in this case the compiler used to build the code.
I can statically call a GUID in the URL and return the correct information but I haven't yet figured out how to get it to do the below for all of the above and build a master list:
summary = requests.get(f"url{summaryguid}moreurl",authmethod)
if summary.ok:
fulldata = summary.json()
for appsummary in fulldata["static-analysis"]["modules"]["module"]:
print(appsummary["compiler"])
I would prefer to not yet have someone just type out the right answer but just drop a few hints and let me continue to work through it logically so I learn how to deal with what I assume is a common issue in the future. My thought right now is I need to move my second if up as part of my initial block and continue the logic in that space but I am stuck with that.

You are on the right track! Here is the hint: the second API request can be nested inside the loop that iterates through the list of applications in the first API call. By doing so, you can get the information you require by making the second API call for each application.

import requests
applistfull = requests.get("url", authmethod)
if applistfull.ok:
data = applistfull.json()
for app in data["_embedded"]["applications"]:
print(app["profile"]["name"],app["guid"])
summaryguid = app["guid"]
summary = requests.get(f"url/{summaryguid}/moreurl", authmethod)
fulldata = summary.json()
for appsummary in fulldata["static-analysis"]["modules"]["module"]:
print(app["profile"]["name"],appsummary["compiler"])
else:
print(applistfull.status_code)

Converting Intersystems cache objectscript into a python function

I am accessing an Intersystems cache 2017.1.xx instance through a python process to get various attributes about the database in able to monitor the database.
One of the items I want to monitor is license usage. I wrote a objectscript script in a Terminal window to access license usage by user:
s Rset=##class(%ResultSet).%New("%SYSTEM.License.UserListAll")
s r=Rset.Execute()
s ncol=Rset.GetColumnCount()
While (Rset.Next()) {f i=1:1:ncol w !,Rset.GetData(i)}
But, I have been unable to determine how to convert this script into a Python equivalent. I am using the intersys.pythonbind3 import for connecting and accessing the cache instance. I have been able to create python functions that accessing most everything else in the instance but this one piece of data I can not figure out how to translate it to Python (3.7).

Following should work (based on the documentation):
query = intersys.pythonbind.query(database)
query.prepare_class("%SYSTEM.License","UserListAll")
query.execute();
# Fetch each row in the result set, and print the
# name and value of each column in a row:
while 1:
cols = query.fetch([None])
if len(cols) == 0: break
print str(cols[0])
Also, notice that InterSystems IRIS -- successor to the Caché now has Python as an embedded language. See more in the docs

Since the noted query "UserListAll" is not defined correctly in the library; not SqlProc. So to resolve this issue would require a ObjectScript with the query and the use of #Result set or similar in Python to get the results. So I am marking this as resolved.

Not sure which Python interface you're using for Cache/IRIS, but this Open Source 3rd party one is worth investigating for the kind of things you're trying to do:
https://github.com/chrisemunt/mg_python

bingads V13 report request fails in python sdk

I try to download a bingads report using python SDK, but I keep getting an error says: "Type not found: 'Aggregation'" after submitting a report request. I've tried all 4 options mentioned in the following link:
https://github.com/BingAds/BingAds-Python-SDK/blob/master/examples/v13/report_requests.py
Authentication process prior to request works just fine.
I execute the following:
report_request = get_report_request(authorization_data.account_id)
reporting_download_parameters = ReportingDownloadParameters(
report_request=report_request,
result_file_directory=FILE_DIRECTORY,
result_file_name=RESULT_FILE_NAME,
overwrite_result_file=True, # Set this value true if you want to overwrite the same file.
timeout_in_milliseconds=TIMEOUT_IN_MILLISECONDS
)
output_status_message("-----\nAwaiting download_report...")
download_report(reporting_download_parameters)
after a careful debugging, it seems that the program fails when trying to execute a command within "reporting_service_manager.py". Here is workflow:
download_report(self, download_parameters):
report_file_path = self.download_file(download_parameters)
then:
download_file(self, download_parameters):
operation = self.submit_download(download_parameters.report_request)
then:
submit_download(self, report_request):
self.normalize_request(report_request)
response = self.service_client.SubmitGenerateReport(report_request)
SubmitGenerateReport starts a sequence of events ending with a call to "_SeviceCall.init" function within "service_client.py", returning an exception "Type not found: 'Aggregation'"
try:
response = self.service_client.soap_client.service.__getattr__(self.name)(*args, **kwargs)
return response
except Exception as ex:
if need_to_refresh_token is False \
and self.service_client.refresh_oauth_tokens_automatically \
and self.service_client._is_expired_token_exception(ex):
need_to_refresh_token = True
else:
raise ex
Can anyone shed some light? .
Thanks

Please be sure to set Aggregation e.g., as shown here.
aggregation = 'Daily'
If the report type does not use aggregation, you can set Aggregation=None.
Does this help?

This may be a bit late 2 months after the fact but maybe this will help someone else. I had the same error (though I suppose it may not be the same issue). It does look like you did what I did (and I'm sure others will as well): copy-paste the Microsoft example code and tried to run it only to find that it didn't work.
I spent quite some time trying to debug the issue and it looked to me like the XML wasn't being searched correctly. I was using suds-py3 for the script at the time so I tried suds-community and everything just worked after that.
I also re-read the Bing Ads API walkthrough for getting started again and found that they recommend suds-jurko instead.
Long story short: If you want to use the bingads API don't use suds-py3, use either suds-community (which I can confirm works for everything I've used the API for) or suds-jurko (which is the one recommended by Microsoft).

Recursive API Calls using AWS Lambda Functions Python

I've never written a recursive python script before. I'm used to splitting up a monolithic function into sub AWS Lambda functions. However, this particular script I am working on is challenging to break up into smaller functions.
Here is the code I am currently using for context. I am using one api request to return a list of objects within a table.
url_pega_EEvisa = requests.get('https://cloud.xxxx.com:443/prweb/api/v1/data/D_pxCaseList?caseClass=xx-xx-xx-xx', auth=(username, password))
pega_EEvisa_raw = url_pega_EEvisa.json()
pega_EEvisa = pega_EEvisa_raw['pxResults']
This returns every object(primary key) within a particular table as a list. For example,
['XX-XXSALES-WORK%20PO-1', 'XX-XXSALES-WORK%20PO-10', 'XX-XXSALES-WORK%20PO-100', 'XX-XXSALES-WORK%20PO-101', 'XX-XXSALES-WORK%20PO-102', 'XX-XXSALES-WORK%20PO-103', 'XX-XXSALES-WORK%20PO-104', 'XX-XXSALES-WORK%20PO-105', 'XX-XXSALES-WORK%20PO-106', 'XX-XXSALES-WORK%20PO-107']
I then use this list to populate more get requests using a for loop which then grabs me all the data per object.
for t in caseid:
url = requests.get(('https://cloud.xxxx.com:443/prweb/api/v1/cases/{}'.format(t)), auth=(username, password)).json()
data.append(url)
This particular lambda function takes about 15min which is the limit for one AWS Lambda function. Ideally, I'd like to split up the list into smaller parts and run the same process. I am struggling marking the point where it last ran before failure and passing that information on to the next function.
Any help is appreciated!

I'm not sure if I entirely understand what you want to do with the data once you've fetched all the information about the case, but it terms of breaking up the work once lambda is doing into many lambdas, you should be able to chunk out the list of cases and pass them to new invocations of the same lambda. Python psuedocode below, hopefully it helps illustrate the idea. I stole the chunks method from this answer that would help break the list into batches
import boto3
import json
client = boto3.client('lambda')
def handler
url_pega_EEvisa = requests.get('https://cloud.xxxx.com:443/prweb/api/v1/data/D_pxCaseList?caseClass=xx-xx-xx-xx', auth=(username, password))
pega_EEvisa_raw = url_pega_EEvisa.json()
pega_EEvisa = pega_EEvisa_raw['pxResults']
for chunk in chunks(pega_EEvisa, 10)
client.invoke(
FunctionName='lambdaToHandleBatchOfTenCases',
Payload=json.dumps(chunk)
)
Hopefully that helps? Let me know if this was not on target 😅

Five9 API python wrapper - runReport

Has anyone used the python wrapper for the Five9 API?
I'm trying to run one of our custom reports through the API but am unsure how to pass the time criteria.
If the report is already built:
Is there a way to run it without passing criteria?
It seems like this should be enough (since the report is already built):
client.configuration.runReport(folderName='Shared Reports', reportName='Test report')
But it didn't work as expected.
What can I do to solve this?

This works for me. You can probably get fancier with a while loop checking if the report is done but this isn't time sensitive.
from five9 import Five9
import time
client = Five9('username','password')
start = '2019-08-01T00:00:00.000'
end = '2019-08-29T00:00:00.000'
criteria = {'time':{'end':end, 'start':start}}
identifier = client.configuration.runReport(folderName='SharedReports',reportName='reportname',criteria=criteria)
time.sleep(15)
get_results = client.configuration.getReportResult(identifier)