# The config recipe.
# https://rasa.com/docs/rasa/model-configuration/
recipe: graph.v1

language: en

core_target: custom_core_target

nlu_target: custom_nlu_target

train_schema:
  nodes:
    # We skip schema_validator node (we only have this for DefaultV1Recipe
    # since we don't do validation for the GraphV1Recipe)
    finetuning_validator:
      needs:
        importer: __importer__
      uses: rasa.graph_components.validators.finetuning_validator.FinetuningValidator
      constructor_name: create
      fn: validate
      config:
        validate_core: true
        validate_nlu: true
      eager: false
      is_target: false
      is_input: true
      resource: null
    nlu_training_data_provider:
      needs:
        importer: finetuning_validator
      uses: rasa.graph_components.providers.nlu_training_data_provider.NLUTrainingDataProvider
      constructor_name: create
      fn: provide
      config:
        language: en
        persist: false
      eager: false
      is_target: false
      is_input: true
      resource: null
    domain_provider:
      needs:
        importer: finetuning_validator
      uses: rasa.graph_components.providers.domain_provider.DomainProvider
      constructor_name: create
      fn: provide_train
      config: { }
      eager: false
      is_target: true
      is_input: true
      resource: null
    domain_for_core_training_provider:
      needs:
        domain: domain_provider
      uses: rasa.graph_components.providers.domain_for_core_training_provider.DomainForCoreTrainingProvider
      constructor_name: create
      fn: provide
      config: { }
      eager: false
      is_target: false
      is_input: true
      resource: null
    story_graph_provider:
      needs:
        importer: finetuning_validator
      uses: rasa.graph_components.providers.story_graph_provider.StoryGraphProvider
      constructor_name: create
      fn: provide
      config:
        exclusion_percentage: null
      eager: false
      is_target: false
      is_input: true
      resource: null
    training_tracker_provider:
      needs:
        story_graph: story_graph_provider
        domain: domain_for_core_training_provider
      uses: rasa.graph_components.providers.training_tracker_provider.TrainingTrackerProvider
      constructor_name: create
      fn: provide
      config: { }
      eager: false
      is_target: false
      is_input: false
      resource: null
    train_MemoizationPolicy0:
      needs:
        training_trackers: training_tracker_provider
        domain: domain_for_core_training_provider
      uses: rasa.core.policies.memoization.MemoizationPolicy
      constructor_name: create
      fn: train
      config: { }
      eager: false
      is_target: true
      is_input: false
      resource: null

predict_schema:
  nodes:
    nlu_message_converter:
      needs:
        messages: __message__
      uses: rasa.graph_components.converters.nlu_message_converter.NLUMessageConverter
      constructor_name: load
      fn: convert_user_message
      config: {}
      eager: true
      is_target: false
      is_input: false
      resource: null
    custom_nlu_target:
      needs:
        messages: nlu_message_converter
        domain: domain_provider
      uses: rasa.nlu.classifiers.regex_message_handler.RegexMessageHandler
      constructor_name: load
      fn: process
      config: {}
      eager: true
      is_target: false
      is_input: false
      resource: null
    domain_provider:
      needs: {}
      uses: rasa.graph_components.providers.domain_provider.DomainProvider
      constructor_name: load
      fn: provide_inference
      config: {}
      eager: true
      is_target: false
      is_input: false
      resource:
        name: domain_provider
    run_MemoizationPolicy0:
      needs:
        domain: domain_provider
        tracker: __tracker__
        rule_only_data: rule_only_data_provider
      uses: rasa.core.policies.memoization.MemoizationPolicy
      constructor_name: load
      fn: predict_action_probabilities
      config: {}
      eager: true
      is_target: false
      is_input: false
      resource:
        name: train_MemoizationPolicy0
    rule_only_data_provider:
      needs: {}
      uses: rasa.graph_components.providers.rule_only_provider.RuleOnlyDataProvider
      constructor_name: load
      fn: provide
      config: {}
      eager: true
      is_target: false
      is_input: false
      resource:
        name: train_RulePolicy1
    custom_core_target:
      needs:
        policy0: run_MemoizationPolicy0
        domain: domain_provider
        tracker: __tracker__
      uses: rasa.core.policies.ensemble.DefaultPolicyPredictionEnsemble
      constructor_name: load
      fn: combine_predictions_from_kwargs
      config: {}
      eager: true
      is_target: false
      is_input: false
      resource: null