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Dialog Flow Engine (DFE) allows you to write conversational services. The service is written by defining a special dialog graph that describes the behavior of the dialog service. The dialog graph cont...

Dialog Flow Engine

The Dialog Flow Engine (DFE) allows you to write conversational services. The service is written by defining a special dialog graph that describes the behavior of the dialog service. The dialog graph contains the dialog script. DFE offers a specialized language (DSL) for quickly writing dialog graphs. You can use it in such services for writing skills for Amazon Alexa and etc, chat-bots for social networks, websites call-centers and etc.

Documentation Status Codestyle Tests License Apache 2.0 Python 3.6, 3.7, 3.8, 3.9 PyPI Downloads

Quick Start

Installation

pip install df_engine

Basic example

from df_engine.core.keywords import GLOBAL, TRANSITIONS, RESPONSE
from df_engine.core import Context, Actor
import df_engine.conditions as cnd
from typing import Union

# create script of dialog
script = {
    GLOBAL: {TRANSITIONS: {("flow", "node_hi"): cnd.exact_match("Hi"), ("flow", "node_ok"): cnd.true()}},
    "flow": {
        "node_hi": {RESPONSE: "Hi!!!"},
        "node_ok": {RESPONSE: "Okey"},
    },
}

# init actor
actor = Actor(script, start_label=("flow", "node_hi"))


# handler requests
def turn_handler(in_request: str, ctx: Union[Context, dict], actor: Actor):
    # Context.cast - gets an object type of [Context, str, dict] returns an object type of Context
    ctx = Context.cast(ctx)
    # Add in current context a next request of user
    ctx.add_request(in_request)
    # pass the context into actor and it returns updated context with actor response
    ctx = actor(ctx)
    # get last actor response from the context
    out_response = ctx.last_response
    # the next condition branching needs for testing
    return out_response, ctx


ctx = {}
while True:
    in_request = input("type your answer: ")
    out_response, ctx = turn_handler(in_request, ctx, actor)
    print(out_response)

When you run this code, you get similar output:

type your answer: hi
Okey
type your answer: Hi
Hi!!!
type your answer: ok
Okey
type your answer: ok
Okey

To get more advanced examples, take a look at examples on GitHub.

Contributing to the Dialog Flow Engine

Please refer to CONTRIBUTING.md.