Taggers add annotations to text that can be queried and composed later.

Using Taggers#

To use a tagger, create an instance within your workspace and then apply it to a file. Note that a file must have first been blockified in order to be tagged.

# Load a Steamship Worksapce
from steamship import Steamship, File
client = Steamship(workspace="my-workspace-handle")

# Upload a file
importer = client.use_plugin("file-importer-handle", "instance-handle", config={})

# Create a file via that plugin instance.
file = File.create_with_plugin(client, plugin_instance=importer.handle)

# Create the blockifier instance
blockifier = client.use_plugin('blockifier-handle', 'instance-handle')

# Apply the blockifier to the file
blockifier_task = file.blockify(blockifier.handle)

# Create the tagger instance
tagger = client.use_plugin('tagger-handle', 'instance-handle')

# Apply the tagger to the file
tagger_task = file.tag(tagger.handle)

# Query across the persisted tags returned from tagging.
file.query('blocktag AND name "paragraph"')

Using a Tagger from within a Steamship Package#

Steamship Packages are Python classes that run in the cloud. The Package constructor receives a pre-configured Steamship client anchored in the correct user Workspace for the lifespan of that instance. You should use this client to import any File Importers that package uses.

Do that with the client.use_plugin method, like this:

from steamship import Steamship, App

class MyPackage(App):
  def __init__(self, client: Steamship, config: Dict[str, Any] = None):
    super().__init__(client, config)
    self.tagger = client.use_plugin(
      config={"key": "value"}

    # Or, as a shortcut:
    self.tagger = client.use_plugin("tagger-handle", "unique-id", config={})

We recommend:

  1. Doing this in the constructor, and saving the result as a member variable.

  2. Using a pre-set instance handle. This will ensure you get the same plugin instance each time instead of generating a new one each time your package is used.

Using a Tagger from within a Steamship Workspace#

Each instance of a Steamship client is anchored to a Workspace. This Workspace provides a scope in which data and infrastructure can live.

Create a plugin instance within a Workspace by simply using the Steamship client, like this:

from steamship import Steamship

client = Steamship()

tagger = client.use_plugin(
  config={"key": "value"}

# Or, as a shortcut:

tagger = client.use_plugin("tagger-handle", "unique-id", config={})

Using a Tagger as a one-off operation#

If you wish to use a Tagger in-line without a known workspace, you can create a Tagger from the Steamship client’s static class.

from steamship import Steamship

tagger = Steamship.use_plugin(
  config={"key": "value"}

# Or, as shorthand:

tagger = Steamship.use_plugin("tagger-handle", config={})

This will create a new workspace in which your tagger instance will live.