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v4.5
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    v4.5

      Downloads and Exports

      This section introduces methods on a Connection object for downloading algorithm result files and exporting nodes and edges from a graphset.

      Each example focuses solely on the method's usage. For a complete code example, please refer to the full example.

      downloadAlgoResultFile()

      Downloads one result file from an algorithm task in the current graph.

      Parameters:

      • str: Name of the file.
      • str: ID of the algorithm task that generated the file.
      • Callable[[bytes]: Callback function that accepts bytes.
      • RequestConfig (Optional): Configuration settings for the request.

      Returns:

      • None.

      requestConfig = RequestConfig(graphName="miniCircle")
      
      # Runs the Louvain algorithm in graphset 'miniCircle' and prints the task ID
      
      response = Conn.uql("algo(louvain).params({phase1_loop_num: 20, min_modularity_increase: 0.001}).write({file:{filename_community_id: 'communityID', filename_ids: 'ids', filename_num: 'num'}})", requestConfig);
      taskTable = response.alias("_task").asTable()
      taskID = taskTable.rows[0][0]
      print("taskID =", taskID)
      
      time.sleep(3)
      
      filename = 'communityID'
      
      # Define the callback function to handle file download
      
      def handle_down_algo_file(stream: bytes):
          text = stream.decode('utf-8')
          with open(filename, 'a', encoding='utf-8') as f:
              writer = csv.writer(f)
              if ',' in text:
                  writer.writerow(text.strip().split(','))
              else:
                  writer.writerow([text])
      
      # Execute file download using the callback
      
      cb = lambda stream: handle_down_algo_file(stream)
      Conn.downloadAlgoResultFile(filename, taskID, cb, requestConfig)
      

      taskID = 78620
      

      The file communityID is downloaded to the same directory as the file you executed.

      downloadAllAlgoResultFile()

      Downloads all result files from an algorithm task in the current graph.

      Parameters:

      • str: ID of the algorithm task that generated the file.
      • Callable[[bytes]: Callback function that accepts bytes.
      • RequestConfig (Optional): Configuration settings for the request.

      Returns:

      • None.

      requestConfig = RequestConfig(graphName="miniCircle")
      
      # Runs the Louvain algorithm in graphset 'miniCircle' and prints the task ID
      
      response = Conn.uql("algo(louvain).params({phase1_loop_num: 20, min_modularity_increase: 0.001}).write({file:{filename_community_id: 'communityID', filename_ids: 'ids', filename_num: 'num'}})", requestConfig);
      taskTable = response.alias("_task").asTable()
      taskID = taskTable.rows[0][0]
      print("taskID =", taskID)
      
      time.sleep(3)
      
      # Define the callback function to handle file download
      
      def handle_down_all_algo_file(stream: bytes, filename):
          text = stream.decode('utf-8')
          with open(filename, 'a', encoding='utf-8') as f:
              writer = csv.writer(f)
              if ',' in text:
                  writer.writerow(text.strip().split(','))
              else:
                  writer.writerow([text])
      
      # Execute file download using the callback
      
      cb = lambda stream,filename: handle_down_all_algo_file(stream,filename)
      Conn.downloadAllAlgoResultFile(taskID, cb, requestConfig)
      

      taskId = 1509
      

      The files communityID, ids and num are downloaded to the same directory as the file you executed.

      export()

      Exports nodes and edges from the current graph.

      Parameters:

      • Export: Configurations for the export request, including dbType:DBType, limit:int, schemaName:str and selectPropertiesName:List[str].
      • Callable[[List[Node], List[Edge]], None]: Callback function that accepts the nodes and edges.
      • RequestConfig (Optional): Configuration settings for the request.

      Returns:

      • None.

      # Exports 10 nodes of schema 'account' with selected properties in graphset 'miniCircle' and prints their information
      
      requestConfig = RequestConfig(graphName="miniCircle")
      
      exportRequest = Export(
          dbType=DBType.DBNODE,
          limit=10,
          schemaName="account",
          selectPropertiesName=["_id", "_uuid", "name", "year"]
      )
      
      # Define the callback function to handle the export
      
      def handle_export(nodes: List[Node], edges: List[Edge]):
          if nodes is not None:
              df = pd.DataFrame(nodes)
              df.to_excel(exportRequest.schemaName + ".xlsx", index=False)
          if edges is not None:
              df = pd.DataFrame(edges)
              df.to_excel(exportRequest.schemaName + ".xlsx", index=False)
      
      Conn.export(exportRequest, handle_export, requestConfig)
      

      The file account.xlsx is exported to the same directory as the file you executed.

      Full Example

      import csv
      
      from ultipa import Connection, UltipaConfig
      from ultipa.configuration.RequestConfig import RequestConfig
      
      ultipaConfig = UltipaConfig()
      # URI example: ultipaConfig.hosts = ["mqj4zouys.us-east-1.cloud.ultipa.com:60010"]
      ultipaConfig.hosts = ["192.168.1.85:60061", "192.168.1.87:60061", "192.168.1.88:60061"]
      ultipaConfig.username = "<username>"
      ultipaConfig.password = "<password>"
      
      Conn = Connection.NewConnection(defaultConfig=ultipaConfig)
      
      requestConfig = RequestConfig(graphName="miniCircle")
      
      # Runs the Louvain algorithm in graphset 'miniCircle' and prints the task ID
      
      response = Conn.uql("algo(louvain).params({phase1_loop_num: 20, min_modularity_increase: 0.001}).write({file:{filename_community_id: 'communityID', filename_ids: 'ids', filename_num: 'num'}})", requestConfig);
      taskTable = response.alias("_task").asTable()
      taskID = taskTable.rows[0][0]
      print("taskID =", taskID)
      
      time.sleep(3)
      
      # Define the callback function to handle file download
      
      def handle_down_all_algo_file(stream: bytes, filename):
          text = stream.decode('utf-8')
          with open(filename, 'a', encoding='utf-8') as f:
              writer = csv.writer(f)
              if ',' in text:
                  writer.writerow(text.strip().split(','))
              else:
                  writer.writerow([text])
      
      # Execute file download using the callback
      
      cb = lambda stream,filename: handle_down_all_algo_file(stream,filename)
      Conn.downloadAllAlgoResultFile(taskID, cb, requestConfig)
      
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