Class: Outhad::Integrations::Source::DatabricksModel::Client

Inherits:
SourceConnector
  • Object
show all
Defined in:
lib/outhad/integrations/source/databrics_model/client.rb

Instance Method Summary collapse

Instance Method Details

#check_connection(connection_config) ⇒ Object 



7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
 
# File 'lib/outhad/integrations/source/databrics_model/client.rb', line 7

def check_connection(connection_config)
  connection_config = connection_config.with_indifferent_access
  url = build_url(DATABRICKS_HEALTH_URL, connection_config)
  response = Outhad::Integrations::Core::HttpClient.request(
    url,
    HTTP_GET,
    headers: auth_headers(connection_config[:token])
  )
  if success?(response)
    success_status
  else
    failure_status(nil)
  end
rescue StandardError => e
  ConnectionStatus.new(status: ConnectionStatusType["failed"], message: e.message).to_outhad_message
end

#discover(_connection_config = nil) ⇒ Object 



24
25
26
27
28
29
30
31
32
33
 
# File 'lib/outhad/integrations/source/databrics_model/client.rb', line 24

def discover(_connection_config = nil)
  catalog_json = read_json(CATALOG_SPEC_PATH)
  catalog = build_catalog(catalog_json)
  catalog.to_outhad_message
rescue StandardError => e
  handle_exception(e, {
                     context: "DATABRICKS MODEL:DISCOVER:EXCEPTION",
                     type: "error"
                   })
end

#read(sync_config) ⇒ Object 



35
36
37
38
39
40
41
42
43
44
45
46
47
48
 
# File 'lib/outhad/integrations/source/databrics_model/client.rb', line 35

def read(sync_config)
  connection_config = sync_config.source.connection_specification
  connection_config = connection_config.with_indifferent_access
  # The server checks the ConnectorQueryType.
  # If it's "ai_ml," the server calculates the payload and passes it as a query in the sync config model protocol.
  # This query is then sent to the AI/ML model.
  payload = JSON.parse(sync_config.model.query)
  run_model(connection_config, payload)
rescue StandardError => e
  handle_exception(e, {
                     context: "DATABRICKS MODEL:READ:EXCEPTION",
                     type: "error"
                   })
end