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Two ways we can solve this, I have both scripts 
- You can run an external script to run the CCS script then store the output that you want locally.
- We can write a PERL script that takes the output and store it o the HTTP services of the NIOS for each device
- I lied a 3rd Option - We can run a PERL script and store the output for each in the local SandBox
Which would you like?
I would go with the NIOS, cause you don't need an external server
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It's pretty incoherent and untested at this stage, but as you wish. Now I'll have to post the final product when done 
Please see my updated post with the solution, at least until Sif helps figure
out the job_details/device_files python api call.
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I did find a work around using 'requests', but hate the idea of authenticating another time in the script. At least it works now and returns the command result.
In order for this to work, one must change the 'Ad Hoc Command Batch' CCS script from:
Action-Commands: $Commands_to_be_Executed
To:
Action-Commands: ARCHIVE ($Name.txt): $Commands_to_be_Executed
Then execute the external python script with 3 parameters. My first param indicates which NetMRI to run this on, the second is the device's name, and lastly is the command to execute:
python ad_hoc_command.py ntac mydevicename 'show run'
Below is the script. Easy to modify to suit your own needs like making it a function in another script, but use cautiously, I don't think it would be good to create 1000 jobs at one time The NetMRI_AuthData is nothing more than a means of hiding some password information. I have not included this below and assume you can subsitute your own auth parameters.
(The job TimeOut check and kill job has not been tested, and below is the sanitized version which I apologize in advanced if I created a syntax error someplace)
#!/usr/bin/python
# -*- coding: utf-8 -*-
import sys, requests, json, time
import infoblox_netmri
from infoblox_netmri.client import InfobloxNetMRI
# Import function with auth data
from NetMRIProdAuth import NetMRI_AuthData
# Login to NetMRI: sys.argv[1] must be 'OC', 'prod' or 'ntac'
AuthData = NetMRI_AuthData(sys.argv[1])
client = infoblox_netmri.client.InfobloxNetMRI(
host=AuthData['host'],
username=AuthData['username'],
password=AuthData['password'],
api_version=AuthData['api_version'],
use_ssl=AuthData['use_ssl'],
ssl_verify=AuthData['ssl_verify'],
)
def run_adhoc(d_name, cmdline):
devices = client.api_request('devices/find?DeviceName='+d_name, {'limit': 1})
d_id = devices.values()[4][0]['DeviceID']
JobID = client.api_request(
'scripts/run', params={
'name': "Ad Hoc Command Batch",
'job_name': "Ad Hoc for "+AuthData['cli_username']+" - "+d_name,
'device_ids': (d_id,),
'$commands_to_be_executed': cmdline,
'credential_mode':'manual',
'username': AuthData['cli_username'],
'password': AuthData['cli_password'],
'enable_password': AuthData['cli_password']
}
)
# Query the execution status, basically waiting for and EndTime
JobComplete = False
kounter = 0
CmdOutput = ''
while not JobComplete:
# Get the job status, see if completed, loop for 600 seconds max.
# J_Details.values()[4][0]['Status'] will contain 'OK', 'Error', 'Skipped', 'Pending'
# J_Details.values()[4][0]['EndTime'] will not be null if job is completed
J_Details = client.api_request('job_details/index', params={'JobID': JobID.values()[0],})
JobStatus = J_Details.values()[4][0]['Status']
if J_Details.values()[4][0]['EndTime'] > "":
JobComplete = True
elif kounter < 300: # Sleep for for a while but not too long
time.sleep(2)
kounter += 1
elif kounter == 300:
JobStatus = 'TimedOut'
# Kill the Job, break out of the loop
client.api_request('jobs/cancel', params={'JobID': JobID.values()[0],})
return [JobStatus, CmdOutput]
if JobStatus == 'OK':
# Get the file
p_data = {'JobID': JobID.values()[0], 'DeviceID': d_id, 'filename': d_name+'.txt' }
response = requests.post('https://mynetmri/api/3.3/job_details/device_files',
data=p_data, verify=False, auth=(AuthData['username'], AuthData['password']))
CmdOutput = response.text
return [JobStatus, CmdOutput]
result = run_adhoc(sys.argv[2], sys.argv[3])
print result[0]
print result[1]
print "Completed"
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