mimic-recording-studio/backend/app/db.py

234 lines
6.9 KiB
Python

"""The Data layer. Has anything to do with creating,
storing, getting, udpating, data
"""
import os
import datetime
from .protocol import response
from .audio import Audio
from peewee import (
Model, SqliteDatabase, CharField, IntegerField,
DateTimeField, ForeignKeyField, DoesNotExist, FloatField,
AutoField
)
# define paths and directories
mimic_studio_dir = os.path.join(
os.path.dirname(os.path.abspath(__file__)),
"../db"
)
os.makedirs(mimic_studio_dir, exist_ok=True)
mimic_studio_db_path = os.path.join(
mimic_studio_dir,
"mimicstudio.db"
)
# setting up and db
mimic_studio_db = SqliteDatabase(mimic_studio_db_path)
class UserModel(Model):
"""Maps SQLite database table "usermodel" to object."""
uuid = CharField(primary_key=True)
mycroft_uuid = CharField(default="")
user_name = CharField()
prompt_num = IntegerField(default=0)
total_time_spoken = FloatField(default=0.0)
len_char_spoken = IntegerField(default=0)
# TODO: language support, change this from default
language = CharField(default='english')
created_date = DateTimeField(default=datetime.datetime.now)
class Meta:
database = mimic_studio_db
@staticmethod
def validate(user):
"""Check if a user exists in SQLite database.
Args:
user ([type]): User object.
Returns:
bool: True, if uuid and username are found in SQLite database.
"""
if user.get("uuid") and user.get("user_name"):
return True
else:
return False
# TODO: use this for language support
class AudioModel(Model):
"""Maps SQLite database table "audiomodel" to object."""
id = AutoField()
audio_id = CharField()
prompt = CharField()
language = CharField()
user = ForeignKeyField(UserModel, backref="user")
created_date = DateTimeField(default=datetime.datetime.now)
class Meta:
database = mimic_studio_db
# TODO: need to have prompt model to
# support multiple prompts
# class PromptMpdel(Model):
# id = AutoField()
# language = Cha
# connecting to dbs
mimic_studio_db.connect()
mimic_studio_db.create_tables([UserModel, AudioModel])
class DB:
"""DB layer"""
UserModel = UserModel
AudioModel = AudioModel
@staticmethod
def save_user(user: dict) -> response:
"""Create a new user entity in SQLite datase.
Args:
user (dict): User object
Returns:
response: True, if user was created successfully in SQLite database.
"""
try:
DB.UserModel.create(uuid=user["uuid"], user_name=user["user_name"])
return response(True)
except Exception as e:
# TODO: log exceptions
print(e)
return response(False, message="Exception thrown, check logs")
@staticmethod
def get_user(uuid: str) -> response:
"""Return user object from SQLite database based on uuid.
Args:
uuid (str): Unique id of user.
Returns:
response: Entities from "usermodel" table in SQLite database.
"""
try:
user = DB.UserModel.get(UserModel.uuid == uuid)
data = {
"user_name": user.user_name,
"prompt_num": user.prompt_num,
"total_time_spoken": user.total_time_spoken,
"len_char_spoken": user.len_char_spoken,
"language": user.language,
}
return response(True, data=data)
except DoesNotExist:
# TODO: log exceptions
return response(
False,
message="user %s does not exist" % uuid
)
@staticmethod
def update_user_metrics(uuid: str, time: float, char_len: int) -> response:
"""Update recording metrics for specific user.
Will be called after every recording to update metrics
(number of recordings, total time and characters recorded).
Args:
uuid (str): Unique user id to be updated.
time (float): Duration of last recording.
char_len (int): Character length of last recorded phrase.
Returns:
response: True, if user metrics could be updated successfully.
"""
try:
query = UserModel \
.update(
prompt_num=UserModel.prompt_num + 1,
total_time_spoken=UserModel.total_time_spoken + time,
len_char_spoken=UserModel.len_char_spoken + char_len
) \
.where(uuid == uuid)
query.execute()
return response(True)
except Exception as e:
print(e)
response(False)
@staticmethod
def skipPhrase(uuid: str) -> response:
"""Skip phrase when 'S' pressed in frontend app.
Increase value of prompted phrase number by one in database table
'usermodel' for recording uuid to skip this phrase.
This will not affect average speech speed calculation.
Args:
uuid (str): UUID of recording session to skip phrase in.
"""
try:
query = UserModel \
.update(
prompt_num=UserModel.prompt_num + 1,
) \
.where(uuid == uuid)
query.execute()
return response(True)
except Exception as e:
print(e)
response(False)
@staticmethod
def save_audio(audio_id: str, prompt: str,
language: str, uuid: str) -> response:
"""Save new recording to SQLite database (table audiomodel)
Args:
audio_id (str): GUID of recording.
prompt (str): Recorded phrase from text corpus.
language (str): 'English' as static value by October 2021. (TODO)
uuid (str): Unique id of user who recorded the audio.
Returns:
response: [description]
"""
try:
user = DB.UserModel.get(UserModel.uuid == uuid)
if user:
DB.AudioModel.create(
audio_id=audio_id,
prompt=prompt,
language=language,
user=user
)
return response(True)
else:
return response(
False,
message="user %s does not exist" % uuid
)
except Exception as e:
print(e)
return response(False, message="Exception thrown, check logs")
# # TODO: should we add prompt in database?
# @staticmethod
# def get_prompt(prompt_num: int) -> response:
# prompt = prompt_fs.get(prompt_num)
# if prompt:
# data = {
# "prompt": prompt
# }
# return response(True, data=data)
# else:
# return response(False)