print("ERROR: Expecting config.json in current folder")
sys.exit()
account_name = configData['accountName']
account_key = configData['accountKey']
# Get the access token...
response = azurerm.get_ams_access_token(account_name, account_key)
resjson = response.json()
access_token = resjson["access_token"]
#Initialization...
print("\n-----------------------= AMS Py =----------------------")
print("Simple Python Library for Azure Media Services REST API")
print("-------------------------------------------------------\n")
### list assets
print("\n001 >>> Listing Media Assets")
response = azurerm.list_media_asset(access_token)
if (response.status_code == 200):
resjson = response.json()
print("POST Status.............................: " +
str(response.status_code))
for ma in resjson['d']['results']:
print("Media Asset Name........................: " + ma['Id'])
print("Media Asset Id..........................: " + ma['Name'])
else:
print("POST Status.............................: " +
str(response.status_code) + " - Media Asset Listing ERROR." +
str(response.content))
account_name = configData['accountName']
account_key = configData['accountKey']
sto_account_name = configData['sto_accountName']
sto_accountKey = configData['sto_accountKey']
log_name = configData['logName']
log_level = configData['logLevel']
purge_log = configData['purgeLog']
# Get a fresh API access token...
response = azurerm.get_ams_access_token(account_name, account_key)
resjson = response.json()
access_token = resjson["access_token"]
# Get Asset by using the list_media_asset method and the Asset ID
response = azurerm.list_media_asset(access_token, OUTPUTASSETID)
if (response.status_code == 200):
resjson = response.json()
# Get the container name from the Uri
outputAssetContainer = resjson['d']['Uri'].split('/')[3]
print(outputAssetContainer)
### Use the Azure Blob Blob Service library from the Azure Storage SDK.
block_blob_service = BlockBlobService(account_name=sto_account_name,
account_key=sto_accountKey)
generator = block_blob_service.list_blobs(outputAssetContainer)
for blob in generator:
print(blob.name)
if (blob.name.endswith(".vtt")):
blobText = block_blob_service.get_blob_to_text(outputAssetContainer,
blob.name)
print_phase_message("Media Job Status........................: " + azurerm.translate_job_state(job_state))
else:
print_phase_message("GET Status..............................: " + str(response.status_code) + " - Media Job: '" + asset_id + "' Listing ERROR." + str(response.content))
time.sleep(5)
## getting the output Asset id
print_phase_header("Getting the Thumbnail Media Asset Id")
response = azurerm.get_url(access_token, joboutputassets_uri, False)
if (response.status_code == 200):
resjson = response.json()
thumbnail_asset_id = resjson['d']['results'][0]['Id']
print_phase_message("GET Status..............................: " + str(response.status_code))
print_phase_message("Thumbnail Media Asset Id................: " + thumbnail_asset_id)
else:
print_phase_message("GET Status..............................: " + str(response.status_code) + " - Media Job Output Asset: '" + job_id + "' Getting ERROR." + str(response.content))
# Get Asset by using the list_media_asset method and the Asset ID
response = azurerm.list_media_asset(access_token,thumbnail_asset_id)
if (response.status_code == 200):
resjson = response.json()
# Get the container name from the Uri
outputAssetContainer = resjson['d']['Uri'].split('/')[3]
### Use the Azure Blob Blob Service library from the Azure Storage SDK to download the Video Thumbnail
block_blob_service = BlockBlobService(account_name=sto_account_name,account_key=sto_accountKey)
generator = block_blob_service.list_blobs(outputAssetContainer)
for blob in generator:
print_phase_message("Output File Name........................: " + blob.name)
block_blob_service.get_blob_to_path(outputAssetContainer, blob.name, "output/" + blob.name)
response = azurerm.get_url(access_token, joboutputassets_uri, False)
if (response.status_code == 200):
resjson = response.json()
output_asset_id = resjson['d']['results'][0]['Id']
print_phase_message("GET Status..............................: " +
str(response.status_code))
print_phase_message("Indexed output Media Asset Id..................: " +
output_asset_id)
else:
print_phase_message("GET Status..............................: " +
str(response.status_code) +
" - Media Job Output Asset: '" + job_id +
"' Getting ERROR." + str(response.content))
# Get Asset by using the list_media_asset method and the Asset ID
response = azurerm.list_media_asset(access_token, output_asset_id)
if (response.status_code == 200):
resjson = response.json()
# Get the container name from the Uri
outputAssetContainer = resjson['d']['Uri'].split('/')[3]
print(outputAssetContainer)
else:
print("Not a 200: " + str(response.status_code))
exit(-1)
### Use the Azure Blob Blob Service library from the Azure Storage SDK to download just the output WebVTT file
block_blob_service = BlockBlobService(account_name=sto_account_name,
account_key=sto_accountKey)
generator = block_blob_service.list_blobs(outputAssetContainer)
for blob in generator:
print_phase_message("Output File Name........................: " +
response = azurerm.get_url(access_token, joboutputassets_uri, False)
if (response.status_code == 200):
resjson = response.json()
motion_asset_id = resjson['d']['results'][0]['Id']
print_phase_message("GET Status..............................: " +
str(response.status_code))
print_phase_message("Motion Detection Output Asset Id........: " +
motion_asset_id)
else:
print_phase_message("GET Status..............................: " +
str(response.status_code) +
" - Media Job Output Asset: '" + job_id +
"' Getting ERROR." + str(response.content))
# Get Asset by using the list_media_asset method and the Asset ID
response = azurerm.list_media_asset(access_token, motion_asset_id)
if (response.status_code == 200):
resjson = response.json()
# Get the container name from the Uri
outputAssetContainer = resjson['d']['Uri'].split('/')[3]
print_phase_message("Output Asset Name.......................: " +
outputAssetContainer)
### Use the Azure Blob Blob Service library from the Azure Storage SDK to download the Motion Detection JSON
block_blob_service = BlockBlobService(account_name=sto_account_name,
account_key=sto_accountKey)
generator = block_blob_service.list_blobs(outputAssetContainer)
for blob in generator:
print_phase_message("Output File Name........................: " +
blob.name)
if (blob.name.endswith(".json")):
response = azurerm.get_url(access_token, joboutputassets_uri, False)
if (response.status_code == 200):
resjson = response.json()
face_asset_id = resjson['d']['results'][0]['Id']
print_phase_message("GET Status..............................: " +
str(response.status_code))
print_phase_message("Indexed Media Asset Id..................: " +
face_asset_id)
else:
print_phase_message("GET Status..............................: " +
str(response.status_code) +
" - Media Job Output Asset: '" + job_id +
"' Getting ERROR." + str(response.content))
# Get Asset by using the list_media_asset method and the Asset ID
response = azurerm.list_media_asset(access_token, face_asset_id)
if (response.status_code == 200):
resjson = response.json()
# Get the container name from the Uri
outputAssetContainer = resjson['d']['Uri'].split('/')[3]
print_phase_message(outputAssetContainer)
### Use the Azure Blob Blob Service library from the Azure Storage SDK to download just the output JSON file
block_blob_service = BlockBlobService(account_name=sto_account_name,
account_key=sto_accountKey)
generator = block_blob_service.list_blobs(outputAssetContainer)
for blob in generator:
print_phase_message(blob.name)
if (blob.name.endswith(".json")):
print_phase_message("\n\n##### Output Results ######")
blobText = block_blob_service.get_blob_to_text(outputAssetContainer,
