Python API Examples¶
Connecting To A Server¶
from jetstream import JetStream
serverAddress = 'localhost'
serverPort = 8886 # default TCP client API control port.
api = JetStream().api(serverAddress, serverPort)
api.connect()
You can also use the api
interface as a context manager:
with api:
# Interface is connected...
pass
# Interface automatically disconnects.
Authenticating With a Server¶
This assumes you have an API interface connected to a server. See Connecting To A Server.
The following command will authenticate with the server as user ‘jsmith’ and password ‘secret’. The auth()
method returns None
on succes and throws an exception if there was an error.
>>> api.server.auth('jsmith', 'secret')
None
Alternatively, you can use authAsync()
method to authenticate asynchronously. For more information about the asynchronous API interface, see Asynchronous Requests vs Ongoing Tasks.
>>> auth_request = api.server.authAsync('jsmith', 'secret')
{'requestId': 1}
>>> api.server.getRequestStatus(auth_request)
{'errorMessage': '', 'processing': False, 'status': 'complete'}
>>> api.server.getRequestResult(auth_request)
None
Creating a Manifest¶
This assumes you have an API interface connected to a server. See Connecting To A Server.
The following command will initialize a manifest that, when attached to a transfer, will send
the local file /local/home/readme.txt
to a destination, saving it at the path /data/docs/readme.txt
.
Use createManifest()
to initiate manifest creation:
>>> mappings = {'/data/docs/readme.txt': '/local/home/readme.txt'}
>>> manifest = api.send.createManifest(mappings=mappings)
>>> manifest
{'status': 'pending', 'processing': True, 'totalFiles': None, 'totalSize': None, 'errorMessage': None, 'manifestId': '2'}
Monitoring a Manifest¶
A manifest is created immediately. However, before you can attach the manifest to a transfer, it must finish its initialization. There are two ways to wait for completion:
Use
getManifest()
and inspect theprocessing
field.>>> manifest = api.send.getManifest(manifest) >>> manifest {'processing': True, 'status': 'pending', ' manifestId': '2'} ... >>> manifest = api.send.getManifest(manifest) >>> manifest {'processing': False, 'status': 'complete', 'manifestId': '2'}While waiting for a manifest, use the
processing
field to determine whether the manifest is still being processed by the server. Thestatus
field should only be used for informational purposes until the manifest has been completed.manifest = api.send.getManifest(manifest) while manifest['processing']: status = manifest['status'] sleep(1) manifest = api.send.getManifest(manifest)Use
waitForManifest()
to block until the manifest is completed.>>> manifest = api.send.waitForManifest(manifest) >>> manifest {'processing': False, 'status': 'complete', 'manifestId': '2'}Note that
waitForManifest()
will block. If a manifest is large, your script may become unresponsive for a long time.
There are two conditions in which a manifest stops being processed by the server. When a manifest
stops, the processing
field will switch to False
, and the status
field will indicate the
condition of the manifest.
complete
: The manifest has been completed successfully.
error
: The manifest failed. TheerrorMessage
field will contain a description of the error.
manifest = api.send.waitForManifest(manifest)
if manifest['status'] == 'error':
raise MyError('The manifest failed, because {reason}'.format(reason=manifest['errorMessage']))
When a manifest has initialized successfully, its totalFiles
and totalSize
fields will
reflect the size of the manifest.
>>> manifest = api.send.waitForManifest(manifest)
>>> manifest
{'status': 'complete', 'totalFiles': 1, 'totalSize': 1091, 'manifestId': '2'}
Note that creating a manifest does not begin sending its files. For this, you need to attach the manifest to a transfer, which is sent to a destination.
Creating a Destination¶
This assumes you have an API interface connected to a server. See Connecting To A Server.
Before you can start a file transfer, you must create a destination.
>>> destinationAddress = 'localhost'
>>> destinationPort = 8886 # default destination port
>>> destination = api.send.createDestination(destinationAddress, destinationPort=destinationPort)
{'destinationId': '42', 'destinationAddress': 'localhost', 'destinationPort': 8886, 'destinationIP': '127.0.0.1'}
There are many more fields returned than what is shown here. The important one is destinationId
.
The destination ID is required to initiate a file transfer.
Creating a Transfer¶
This assumes you have an API interface connected to a server. See Connecting To A Server.
We’ll use the destination and manifest prepared above.
>>> transfer = api.send.createTransfer(destination, manifest)
>>> transfer
{'transferId': '17', 'processing': True, 'status': 'pending', 'destinationId': '42'}
There are many more fields returned than what is shown here. The important one is transferId
.
The transfer ID is required to monitor the status of the transfer.
Monitoring A Transfer¶
There are two ways to monitor a transfer:
Use
getTransfer()
and inspect theprocessing
field.>>> transfer = api.send.getTransfer(transfer) >>> transfer {'processing': True, 'status': 'sending', 'transferId': '17'} ... >>> transfer = api.send.getTransfer(transfer) >>> transfer {'processing': False, 'status': 'complete', 'transferId': '17'}While waiting for a transfer, use the
processing
field to determine whether the transfer is still being processed by the server. Thestatus
field should only be used for informational purposes until the transfer has stopped.transfer = api.send.getTransfer(transfer) while transfer['processing']: status = transfer['status'] sleep(1) transfer = api.send.getTransfer(transfer)Use
waitForTransfer()
to block until the file send is completed.>>> transfer = api.send.waitForTransfer(transfer) >>> transfer {'processing': False, 'status': 'complete', 'transferId': '17'}Note that
waitForTransfer()
will block. If a transfer is large, your script may become unresponsive for a long time.
There are three conditions in which a transfer stops being processed by the server. When a transfer
stops, the processing
field will switch to False
, and the status
field will indicate the
condition of the transfer.
complete
: The transfer has been completed successfully.
suspended
: The transfer was suspended. UseresumeTransfer()
to resume transmitting.
error
: The transfer failed. TheerrorMessage
field will contain a description of the error.transfer = api.send.waitForTransfer(transfer) if transfer['status'] == 'error': raise MyError('The transfer failed, because {reason}'.format(reason=transfer['errorMessage'])) if transfer['status'] == 'suspended': print('The transfer has been paused.')