5. MySQL

This is a tutorial on using MySQL.

See SQLContextStorage class for storing you users’ contexts in SQL databases.

DFF uses sqlalchemy and asyncmy libraries for asynchronous access to MySQL DB.

# installing dependencies
%pip install -q dff[mysql]

Note: you may need to restart the kernel to use updated packages.

import os

from dff.context_storages import context_storage_factory

from dff.pipeline import Pipeline
from dff.utils.testing.common import (
    check_happy_path,
    is_interactive_mode,
    run_interactive_mode,
)
from dff.utils.testing.toy_script import TOY_SCRIPT_ARGS, HAPPY_PATH

db_uri = "mysql+asyncmy://{}:{}@localhost:3307/{}".format(
    os.environ["MYSQL_USERNAME"],
    os.environ["MYSQL_PASSWORD"],
    os.environ["MYSQL_DATABASE"],
)
db = context_storage_factory(db_uri)


pipeline = Pipeline.from_script(*TOY_SCRIPT_ARGS, context_storage=db)

if __name__ == "__main__":
    check_happy_path(pipeline, HAPPY_PATH)
    if is_interactive_mode():
        run_interactive_mode(pipeline)

(user) >>> text='Hi'
 (bot) <<< text='Hi, how are you?'
(user) >>> text='i'm fine, how are you?'
 (bot) <<< text='Good. What do you want to talk about?'
(user) >>> text='Let's talk about music.'
 (bot) <<< text='Sorry, I can not talk about music now.'
(user) >>> text='Ok, goodbye.'
 (bot) <<< text='bye'
(user) >>> text='Hi'
 (bot) <<< text='Hi, how are you?'