dream

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import logging
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import common.dff.integration.processing as int_prs
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import df_engine.conditions as cnd
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from common.constants import CAN_NOT_CONTINUE
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from df_engine.core.keywords import PROCESSING, TRANSITIONS, RESPONSE
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from df_engine.core import Actor
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from . import response as loc_rsp
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logger = logging.getLogger(__name__)
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DEFAULT_CONFIDENCE = 0.85
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flows = {
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    "story_flow": {
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        "start_node": {
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            RESPONSE: loc_rsp.programy_reponse,
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            PROCESSING: {
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                "set_confidence": int_prs.set_confidence(DEFAULT_CONFIDENCE),
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                "set_can_continue": int_prs.set_can_continue(CAN_NOT_CONTINUE),
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            },
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            TRANSITIONS: {
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                "start_node": cnd.true(),
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            },
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        }
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    }
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}
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actor = Actor(flows, start_label=("story_flow", "start_node"))
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