PyC8

Welcome to the GitHub page for pyC8, a Python driver for the Digital Edge Fabric.

Features

• Clean Pythonic interface.
• Lightweight.

Compatibility

• Python versions 3.4, 3.5 and 3.6 are supported.

Build & Install

To build,

 $ python setup.py build

To install locally,

 $ python setup.py build

Getting Started

The driver allows you to use three ways for authentication:-

1. Using the email id and password

  
  # Auth email password
  client = C8Client(protocol='https', host='gdn1.macrometa.io', port=443,
   email="[email protected]", password="hidden")

2. Using jwt

# Auth with token
client = C8Client(protocol='https', host='gdn1.macrometa.io', port=443,
 token=<your tokeb>)

3. Using apikey

# AUh with api key

client = C8Client(protocol='https', host='gdn1.macrometa.io', port=443,
 apikey=<your api key>)

Here is an overview example:

    from c8 import C8Client
    import time
    import warnings
    warnings.filterwarnings("ignore")
    region = "gdn1.macrometa.io"
    demo_tenant = "[email protected]"
    demo_fabric = "_system"
    demo_user = "[email protected]"
    demo_user_name = "root"
    demo_collection = "employees"
    demo_stream = "demostream"
    collname = "employees"
    #--------------------------------------------------------------
    print("Create C8Client Connection...")
    client = C8Client(protocol='https', host=region, port=443,
                         email=demo_tenant, password='hidden',
                         geofabric=demo_fabric)

    #--------------------------------------------------------------
    print("Create Collection and insert documents")

    if client.has_collection(collname):
      print("Collection exists")
    else:
      client.create_collection(name=collname)

    # List all Collections
    coll_list = client.get_collections()
    print(coll_list)

    # Filter collection based on collection models DOC/KV/DYNAMO
    colls = client.get_collections(collectionModel='DOC')
    print(colls)

    # Get Collecion Handle and Insert
    coll = client.get_collection(collname)
    coll.insert({'firstname': 'John', 'lastname':'Berley', 'email':'[email protected]'})

    # insert document
    client.insert_document(collection_name=collname, document={'firstname': 'Jean', 'lastname':'Picard',    'email':'[email protected]'})
    doc = client.get_document(collname, "John" )
    print(doc)

    # insert multiple documents
    docs = [
        {'firstname': 'James', 'lastname':'Kirk', 'email':'[email protected]'},
        {'firstname': 'Han', 'lastname':'Solo', 'email':'[email protected]'},
        {'firstname': 'Bruce', 'lastname':'Wayne', 'email':'[email protected]'}
    ]

    client.insert_document(collection_name=collname, document=docs)

    # insert documents from file
    client.insert_document_from_file(collection_name=collname, csv_filepath="/home/user/test.csv")

    # Add a hash Index
    client.add_hash_index(collname, fields=['email'], unique=True)

    #--------------------------------------------------------------

    # Query a collection
    print("query employees collection...")
    query = 'FOR employee IN employees RETURN employee'
    cursor = client.execute_query(query)
    docs = [document for document in cursor]
    print(docs)

    #--------------------------------------------------------------
    print("Delete Collection...")
    # Delete Collection
    client.delete_collection(name=collname)

Example for real-time updates from a collection in fabric:

  from c8 import C8Client
  import time
  import warnings
  warnings.filterwarnings("ignore")
  region = "gdn1.macrometa.io"
  demo_tenant = "[email protected]"
  demo_fabric = "_system"
  demo_user = "[email protected]"
  demo_user_name = "root"
  demo_collection = "employees"
  demo_stream = "demostream"
  collname = "democollection"
  #--------------------------------------------------------------
  print("Create C8Client Connection...")
  client = C8Client(protocol='https', host=region, port=443,
                       email=demo_tenant, password='hidden',
                       geofabric=demo_fabric)

  #--------------------------------------------------------------
  def callback_fn(event):
       print(event)
   #--------------------------------------------------------------
  client.on_change("employees", timeout=10, callback=callback_fn)

Example to publish documents to a stream:

  from c8 import C8Client
  import time
  import base64
  import six
  import json
  import warnings
  warnings.filterwarnings("ignore")

  region = "gdn1.macrometa.io"
  demo_tenant = "[email protected]"
  demo_fabric = "_system"
  stream = "demostream"
  #--------------------------------------------------------------
  print("publish messages to stream...")
  client = C8Client(protocol='https', host=region, port=443,
                       email=demo_tenant, password='hidden',
                       geofabric=demo_fabric)

  producer = client.create_stream_producer(stream)

  for i in range(10):
      msg1 = "Persistent: Hello from " + "("+ str(i) +")"
      producer.send(json.dumps(msg1))
      time.sleep(10) # 10 sec

Example to subscribe documents from a stream:

  from c8 import C8Client
  import time
  import base64
  import six
  import json
  import warnings
  warnings.filterwarnings("ignore")

  region = "gdn1.macrometa.io"
  demo_tenant = "[email protected]"
  demo_fabric = "_system"
  stream = "demostream"
  #--------------------------------------------------------------
  print("publish messages to stream...")
  client = C8Client(protocol='https', host=region, port=443,
                       email=demo_tenant, password='hidden',
                       geofabric=demo_fabric)


  subscriber = client.subscribe(stream=stream, local=False, subscription_name="test-subscription-1")
  for i in range(10):
      print("In ",i)
      m1 = json.loads(subscriber.recv())  #Listen on stream for any receiving msg's
      msg1 = base64.b64decode(m1["payload"])
      print("Received message '{}' id='{}'".format(msg1, m1["messageId"])) #Print the received msg over   stream
      subscriber.send(json.dumps({'messageId': m1['messageId']}))#Acknowledge the received msg.

  print(client.get_stream_subscriptions(stream=stream, local=False))

  print(client.get_stream_backlog(stream=stream, local=False))

Example: stream management:

  from c8 import C8Client
  import time
  import warnings
  warnings.filterwarnings("ignore")

  region = "gdn1.macrometa.io"
  demo_tenant = "[email protected]"
  demo_fabric = "_system"
  stream = "demostream"
  #--------------------------------------------------------------
  print("publish messages to stream...")
  client = C8Client(protocol='https', host=region, port=443,
                       email=demo_tenant, password='hidden',
                       geofabric=demo_fabric)
  
  #get_stream_stats
  print("Stream Stats: ", client.get_stream_stats(stream))

  print(client.get_stream_subscriptions(stream=stream, local=False))

  print(client.get_stream_backlog(stream=stream, local=False))

  #print(client.clear_stream_backlog(subscription="test-subscription-1"))
  print(client.clear_streams_backlog())
    

Advanced operations can be done using the sream_colleciton class.

   
   from c8 import C8Client
   import warnings
   warnings.filterwarnings("ignore")

   region = "gdn1.macrometa.io"
   demo_tenant = "[email protected]"
   demo_fabric = "_system"

   #--------------------------------------------------------------
   print("consume messages from stream...")
   client = C8Client(protocol='https', host=region, port=443)
   demotenant = client.tenant(email=demo_tenant, password='hidden')
   fabric = demotenant.useFabric(demo_fabric)
   stream = fabric.stream()
    
   #Skip all messages on a stream subscription
   stream_collection.skip_all_messages_for_subscription('demostream', 'demosub')

   #Skip num messages on a topic subscription
   stream_collection.skip_messages_for_subscription('demostream', 'demosub', 10) 
   #Expire messages for a given subscription of a stream.
   #expire time is in seconds
   stream_collection.expire_messages_for_subscription('demostream', 'demosub', 2) 
   #Expire messages on all subscriptions of stream
   stream_collection.expire_messages_for_subscriptions('demostream',2) 
   #Reset subscription to message position to closest timestamp
   #time is in milli-seconds
   stream_collection.reset_message_subscription_by_timestamp('demostream','demosub', 5) 
   #Reset subscription to message position closest to given position
   #stream_collection.reset_message_for_subscription('demostream', 'demosub') 
   #stream_collection.reset_message_subscription_by_position('demostream','demosub', 4) 
   #Unsubscribes the given subscription on all streams on a stream fabric
   stream_collection.unsubscribe('demosub') 
   #delete subscription of a stream
   #stream_collection.delete_stream_subscription('demostream', 'demosub' , local=False) 

Example for restql operations:

  from c8 import C8Client
  import json
  import warnings
  warnings.filterwarnings("ignore")
  region = "gdn1.macrometa.io"
  demo_tenant = "[email protected]"
  demo_fabric = "_system"

  #--------------------------------------------------------------
  client = C8Client(protocol='https', host=region, port=443,
                       email=demo_tenant, password='hidden',
                       geofabric=demo_fabric)

  #--------------------------------------------------------------
  print("save restql...")
  data = {
    "query": {
      "parameter": {},
      "name": "demo",
      "value": "FOR employee IN employees RETURN employee"
    }
  }
  response = client.create_restql(data)
  #--------------------------------------------------------------
  print("execute restql without bindVars...")
  response = client.execute_restql("demo")
  print("Execute: ", response)  
  #--------------------------------------------------------------
  # Update restql
  data = {
        "query": {
            "parameter": {},
            "value": "FOR employee IN employees Filter doc.firstname=@name RETURN employee"
        }
    }
  response = client.update_restql("demo", data)
  
  #--------------------------------------------------------------

  print("execute restql with bindVars...")
  response = fabric.execute_restql("demo",
                                   {"bindVars": {"name": "Bruce"}})
  #--------------------------------------------------------------
  print("get all restql...")
  response = fabric.get_all_restql()
  #--------------------------------------------------------------
  
  print("delete restql...")
  response = fabric.delete_restql("demo")

Workflow of Spot Collections

spot collections can be assigned or updated using the tenant class.

from c8 import C8Client

# Initialize the client for C8DB.
client = C8Client(protocol='http', host='localhost', port=8529)

#Step 1: Make one of the regions in the fed as the Spot Region
# Connect to System admin
sys_tenant = client.tenant(email=macrometa-admin-email, password=macrometa-password)
sys_fabric = sys_tenant.useFabric("_system")

#Make REGION-1 as spot-region
sys_tenant.assign_dc_spot('REGION-1',spot_region=True)

#Make REGION-2 as spot-region
sys_tenant.assign_dc_spot('REGION-2',spot_region=True)

#Step 2: Create a geo-fabric and pass one of the spot regions. You can use the SPOT_CREATION_TYPES for the same. If you use AUTOMATIC, a random spot region will be assigned by the system.
# If you specify None, a geo-fabric is created without the spot properties. If you specify spot region,pass the corresponding spot region in the spot_dc parameter.
dcl = sys_tenant.dclist(detail=False)
demotenant = client.tenant(email="[email protected]", password="hidden")
fabric = demotenant.useFabric("_system")
fabric.create_fabric('spot-geo-fabric', dclist=dcl,spot_creation_type= fabric.SPOT_CREATION_TYPES.SPOT_REGION, spot_dc='REGION-1')

#Step 3: Create spot collection in 'spot-geo-fabric'
spot_collection = fabric.create_collection('spot-collection', spot_collection=True)

#Step 4: Update Spot primary region of the geo-fabric. To change it, we need system admin credentials
sys_fabric = client.fabric(tenant=macrometa-admin, name='_system', username='root', password=macrometa-password)
sys_fabric.update_spot_region('mytenant', 'spot-geo-fabric', 'REGION-2')