FitTrackee/fittrackee/workouts/models.py

500 lines
19 KiB
Python
Raw Normal View History

2018-01-21 17:43:13 +01:00
import datetime
import os
2021-01-02 19:28:03 +01:00
from typing import Any, Dict, Optional, Union
from uuid import UUID, uuid4
2018-01-21 17:43:13 +01:00
from sqlalchemy.dialects import postgresql
2021-01-02 19:28:03 +01:00
from sqlalchemy.engine.base import Connection
from sqlalchemy.event import listens_for
2021-01-02 19:28:03 +01:00
from sqlalchemy.ext.declarative import DeclarativeMeta
2018-05-15 22:22:04 +02:00
from sqlalchemy.ext.hybrid import hybrid_property
2021-01-02 19:28:03 +01:00
from sqlalchemy.orm.mapper import Mapper
from sqlalchemy.orm.session import Session, object_session
from sqlalchemy.types import JSON, Enum
2021-01-20 16:47:00 +01:00
from fittrackee import db
from .utils_files import get_absolute_file_path
from .utils_format import convert_in_duration, convert_value_to_integer
2020-12-30 22:07:43 +01:00
from .utils_id import encode_uuid
2021-01-02 19:28:03 +01:00
BaseModel: DeclarativeMeta = db.Model
record_types = [
'AS', # 'Best Average Speed'
'FD', # 'Farthest Distance'
'LD', # 'Longest Duration'
'MS', # 'Max speed'
]
2018-01-21 17:43:13 +01:00
2021-01-02 19:28:03 +01:00
def update_records(
user_id: int, sport_id: int, connection: Connection, session: Session
) -> None:
record_table = Record.__table__
new_records = Workout.get_user_workout_records(user_id, sport_id)
for record_type, record_data in new_records.items():
if record_data['record_value']:
record = Record.query.filter_by(
2019-08-28 13:25:39 +02:00
user_id=user_id, sport_id=sport_id, record_type=record_type
).first()
if record:
value = convert_value_to_integer(
record_type, record_data['record_value']
)
2019-08-28 13:25:39 +02:00
connection.execute(
record_table.update()
.where(record_table.c.id == record.id)
.values(
value=value,
workout_id=record_data['workout'].id,
workout_uuid=record_data['workout'].uuid,
workout_date=record_data['workout'].workout_date,
2019-08-28 13:25:39 +02:00
)
)
else:
new_record = Record(
workout=record_data['workout'], record_type=record_type
)
2021-01-02 19:28:03 +01:00
new_record.value = record_data['record_value'] # type: ignore
session.add(new_record)
2018-05-15 22:22:04 +02:00
else:
2019-08-28 13:25:39 +02:00
connection.execute(
record_table.delete()
.where(record_table.c.user_id == user_id)
.where(record_table.c.sport_id == sport_id)
.where(record_table.c.record_type == record_type)
)
2021-01-02 19:28:03 +01:00
class Sport(BaseModel):
__tablename__ = 'sports'
2018-01-21 17:43:13 +01:00
id = db.Column(db.Integer, primary_key=True, autoincrement=True)
label = db.Column(db.String(50), unique=True, nullable=False)
2018-05-16 23:52:55 +02:00
img = db.Column(db.String(255), unique=True, nullable=True)
is_active = db.Column(db.Boolean, default=True, nullable=False)
workouts = db.relationship(
'Workout', lazy=True, backref=db.backref('sports', lazy='joined')
2019-08-28 13:25:39 +02:00
)
records = db.relationship(
'Record', lazy=True, backref=db.backref('sports', lazy='joined')
)
2018-01-21 17:43:13 +01:00
2021-01-02 19:28:03 +01:00
def __repr__(self) -> str:
2018-05-23 17:30:22 +02:00
return f'<Sport {self.label!r}>'
2018-01-21 17:43:13 +01:00
2021-01-02 19:28:03 +01:00
def __init__(self, label: str) -> None:
2018-01-21 17:43:13 +01:00
self.label = label
2021-01-02 19:28:03 +01:00
def serialize(self, is_admin: Optional[bool] = False) -> Dict:
serialized_sport = {
2018-05-09 16:50:30 +02:00
'id': self.id,
'label': self.label,
2018-05-16 23:52:55 +02:00
'img': self.img,
'is_active': self.is_active,
2018-05-09 16:50:30 +02:00
}
if is_admin:
serialized_sport['has_workouts'] = len(self.workouts) > 0
return serialized_sport
2018-05-09 16:50:30 +02:00
2018-01-21 17:43:13 +01:00
class Workout(BaseModel):
__tablename__ = 'workouts'
2019-08-28 13:25:39 +02:00
id = db.Column(db.Integer, primary_key=True, autoincrement=True)
uuid = db.Column(
postgresql.UUID(as_uuid=True),
default=uuid4,
unique=True,
nullable=False,
)
2019-08-28 13:25:39 +02:00
user_id = db.Column(db.Integer, db.ForeignKey('users.id'), nullable=False)
2018-01-21 17:43:13 +01:00
sport_id = db.Column(
2019-08-28 13:25:39 +02:00
db.Integer, db.ForeignKey('sports.id'), nullable=False
)
2018-05-13 12:52:22 +02:00
title = db.Column(db.String(255), nullable=True)
2018-01-21 17:43:13 +01:00
gpx = db.Column(db.String(255), nullable=True)
2019-08-28 13:25:39 +02:00
creation_date = db.Column(db.DateTime, default=datetime.datetime.utcnow)
2018-01-28 11:28:47 +01:00
modification_date = db.Column(
2019-08-28 13:25:39 +02:00
db.DateTime, onupdate=datetime.datetime.utcnow
)
workout_date = db.Column(db.DateTime, nullable=False)
2018-01-21 17:43:13 +01:00
duration = db.Column(db.Interval, nullable=False)
pauses = db.Column(db.Interval, nullable=True)
moving = db.Column(db.Interval, nullable=True)
2019-08-28 13:25:39 +02:00
distance = db.Column(db.Numeric(6, 3), nullable=True) # kilometers
min_alt = db.Column(db.Numeric(6, 2), nullable=True) # meters
max_alt = db.Column(db.Numeric(6, 2), nullable=True) # meters
descent = db.Column(db.Numeric(7, 2), nullable=True) # meters
ascent = db.Column(db.Numeric(7, 2), nullable=True) # meters
max_speed = db.Column(db.Numeric(6, 2), nullable=True) # km/h
ave_speed = db.Column(db.Numeric(6, 2), nullable=True) # km/h
bounds = db.Column(postgresql.ARRAY(db.Float), nullable=True)
map = db.Column(db.String(255), nullable=True)
map_id = db.Column(db.String(50), nullable=True)
weather_start = db.Column(JSON, nullable=True)
weather_end = db.Column(JSON, nullable=True)
2018-06-13 18:17:28 +02:00
notes = db.Column(db.String(500), nullable=True)
2019-08-28 13:25:39 +02:00
segments = db.relationship(
'WorkoutSegment',
2019-08-28 13:25:39 +02:00
lazy=True,
cascade='all, delete',
backref=db.backref('workouts', lazy='joined', single_parent=True),
2019-08-28 13:25:39 +02:00
)
records = db.relationship(
'Record',
lazy=True,
cascade='all, delete',
backref=db.backref('workouts', lazy='joined', single_parent=True),
2019-08-28 13:25:39 +02:00
)
2018-01-21 17:43:13 +01:00
2021-01-02 19:28:03 +01:00
def __str__(self) -> str:
return f'<Workout \'{self.sports.label}\' - {self.workout_date}>'
2018-01-21 17:43:13 +01:00
2021-01-02 19:28:03 +01:00
def __init__(
self,
user_id: int,
sport_id: int,
workout_date: datetime.datetime,
2021-01-02 19:28:03 +01:00
distance: float,
duration: datetime.timedelta,
) -> None:
2018-01-21 17:43:13 +01:00
self.user_id = user_id
self.sport_id = sport_id
self.workout_date = workout_date
self.distance = distance
self.duration = duration
2018-05-01 21:26:17 +02:00
2020-12-30 22:07:43 +01:00
@property
2021-01-02 19:28:03 +01:00
def short_id(self) -> str:
2020-12-30 22:07:43 +01:00
return encode_uuid(self.uuid)
2021-01-02 19:28:03 +01:00
def serialize(self, params: Optional[Dict] = None) -> Dict:
date_from = params.get('from') if params else None
date_to = params.get('to') if params else None
distance_from = params.get('distance_from') if params else None
distance_to = params.get('distance_to') if params else None
duration_from = params.get('duration_from') if params else None
duration_to = params.get('duration_to') if params else None
ave_speed_from = params.get('ave_speed_from') if params else None
ave_speed_to = params.get('ave_speed_to') if params else None
2018-06-11 22:42:04 +02:00
max_speed_from = params.get('max_speed_from') if params else None
max_speed_to = params.get('max_speed_to') if params else None
sport_id = params.get('sport_id') if params else None
previous_workout = (
Workout.query.filter(
Workout.id != self.id,
Workout.user_id == self.user_id,
Workout.sport_id == sport_id if sport_id else True,
Workout.workout_date <= self.workout_date,
Workout.workout_date
2019-08-28 13:25:39 +02:00
>= datetime.datetime.strptime(date_from, '%Y-%m-%d')
if date_from
else True,
Workout.workout_date
2019-08-28 13:25:39 +02:00
<= datetime.datetime.strptime(date_to, '%Y-%m-%d')
if date_to
else True,
Workout.distance >= float(distance_from)
2019-08-28 13:25:39 +02:00
if distance_from
else True,
Workout.distance <= float(distance_to)
if distance_to
else True,
Workout.duration >= convert_in_duration(duration_from)
2019-08-28 13:25:39 +02:00
if duration_from
else True,
Workout.duration <= convert_in_duration(duration_to)
2019-08-28 13:25:39 +02:00
if duration_to
else True,
Workout.ave_speed >= float(ave_speed_from)
2019-08-28 13:25:39 +02:00
if ave_speed_from
else True,
Workout.ave_speed <= float(ave_speed_to)
2019-08-28 13:25:39 +02:00
if ave_speed_to
else True,
Workout.max_speed >= float(max_speed_from)
2019-08-28 13:25:39 +02:00
if max_speed_from
else True,
Workout.max_speed <= float(max_speed_to)
2019-08-28 13:25:39 +02:00
if max_speed_to
else True,
)
.order_by(Workout.workout_date.desc())
2019-08-28 13:25:39 +02:00
.first()
)
next_workout = (
Workout.query.filter(
Workout.id != self.id,
Workout.user_id == self.user_id,
Workout.sport_id == sport_id if sport_id else True,
Workout.workout_date >= self.workout_date,
Workout.workout_date
2019-08-28 13:25:39 +02:00
>= datetime.datetime.strptime(date_from, '%Y-%m-%d')
if date_from
else True,
Workout.workout_date
2019-08-28 13:25:39 +02:00
<= datetime.datetime.strptime(date_to, '%Y-%m-%d')
if date_to
else True,
Workout.distance >= float(distance_from)
2019-08-28 13:25:39 +02:00
if distance_from
else True,
Workout.distance <= float(distance_to)
if distance_to
else True,
Workout.duration >= convert_in_duration(duration_from)
2019-08-28 13:25:39 +02:00
if duration_from
else True,
Workout.duration <= convert_in_duration(duration_to)
2019-08-28 13:25:39 +02:00
if duration_to
else True,
Workout.ave_speed >= float(ave_speed_from)
2019-08-28 13:25:39 +02:00
if ave_speed_from
else True,
Workout.ave_speed <= float(ave_speed_to)
2019-08-28 13:25:39 +02:00
if ave_speed_to
else True,
)
.order_by(Workout.workout_date.asc())
2019-08-28 13:25:39 +02:00
.first()
)
2018-05-01 21:26:17 +02:00
return {
2021-01-02 19:28:03 +01:00
'id': self.short_id, # WARNING: client use uuid as id
'user': self.user.username,
'sport_id': self.sport_id,
'title': self.title,
'creation_date': self.creation_date,
'modification_date': self.modification_date,
'workout_date': self.workout_date,
2021-01-02 19:28:03 +01:00
'duration': str(self.duration) if self.duration else None,
'pauses': str(self.pauses) if self.pauses else None,
'moving': str(self.moving) if self.moving else None,
'distance': float(self.distance) if self.distance else None,
'min_alt': float(self.min_alt) if self.min_alt else None,
'max_alt': float(self.max_alt) if self.max_alt else None,
'descent': float(self.descent) if self.descent else None,
'ascent': float(self.ascent) if self.ascent else None,
'max_speed': float(self.max_speed) if self.max_speed else None,
'ave_speed': float(self.ave_speed) if self.ave_speed else None,
'with_gpx': self.gpx is not None,
'bounds': [float(bound) for bound in self.bounds]
2019-08-28 13:25:39 +02:00
if self.bounds
else [], # noqa
'previous_workout': previous_workout.short_id
if previous_workout
2019-08-28 13:25:39 +02:00
else None, # noqa
'next_workout': next_workout.short_id if next_workout else None,
2021-01-02 19:28:03 +01:00
'segments': [segment.serialize() for segment in self.segments],
'records': [record.serialize() for record in self.records],
'map': self.map_id if self.map else None,
'weather_start': self.weather_start,
'weather_end': self.weather_end,
'notes': self.notes,
2018-05-14 13:25:00 +02:00
}
@classmethod
def get_user_workout_records(
2021-01-02 19:28:03 +01:00
cls, user_id: int, sport_id: int, as_integer: Optional[bool] = False
) -> Dict:
record_types_columns = {
'AS': 'ave_speed', # 'Average speed'
2019-08-28 13:25:39 +02:00
'FD': 'distance', # 'Farthest Distance'
'LD': 'moving', # 'Longest Duration'
'MS': 'max_speed', # 'Max speed'
}
records = {}
for record_type, column in record_types_columns.items():
column_sorted = getattr(getattr(Workout, column), 'desc')()
record_workout = (
Workout.query.filter_by(user_id=user_id, sport_id=sport_id)
.order_by(column_sorted, Workout.workout_date)
2019-08-28 13:25:39 +02:00
.first()
)
records[record_type] = dict(
2019-08-28 13:25:39 +02:00
record_value=(
getattr(record_workout, column) if record_workout else None
2019-08-28 13:25:39 +02:00
),
workout=record_workout,
2019-08-28 13:25:39 +02:00
)
return records
@listens_for(Workout, 'after_insert')
def on_workout_insert(
mapper: Mapper, connection: Connection, workout: Workout
2021-01-02 19:28:03 +01:00
) -> None:
@listens_for(db.Session, 'after_flush', once=True)
2021-01-02 19:28:03 +01:00
def receive_after_flush(session: Session, context: Any) -> None:
2019-08-28 13:25:39 +02:00
update_records(
workout.user_id, workout.sport_id, connection, session
2019-08-28 13:25:39 +02:00
) # noqa
@listens_for(Workout, 'after_update')
def on_workout_update(
mapper: Mapper, connection: Connection, workout: Workout
2021-01-02 19:28:03 +01:00
) -> None:
if object_session(workout).is_modified(
workout, include_collections=True
2019-08-28 13:25:39 +02:00
): # noqa
@listens_for(db.Session, 'after_flush', once=True)
2021-01-02 19:28:03 +01:00
def receive_after_flush(session: Session, context: Any) -> None:
sports_list = [workout.sport_id]
records = Record.query.filter_by(workout_id=workout.id).all()
2018-05-15 22:22:04 +02:00
for rec in records:
if rec.sport_id not in sports_list:
sports_list.append(rec.sport_id)
for sport_id in sports_list:
update_records(workout.user_id, sport_id, connection, session)
2018-05-14 13:25:00 +02:00
@listens_for(Workout, 'after_delete')
def on_workout_delete(
2021-01-02 19:28:03 +01:00
mapper: Mapper, connection: Connection, old_record: 'Record'
) -> None:
@listens_for(db.Session, 'after_flush', once=True)
2021-01-02 19:28:03 +01:00
def receive_after_flush(session: Session, context: Any) -> None:
if old_record.map:
os.remove(get_absolute_file_path(old_record.map))
if old_record.gpx:
os.remove(get_absolute_file_path(old_record.gpx))
class WorkoutSegment(BaseModel):
__tablename__ = 'workout_segments'
workout_id = db.Column(
db.Integer, db.ForeignKey('workouts.id'), primary_key=True
2019-08-28 13:25:39 +02:00
)
workout_uuid = db.Column(postgresql.UUID(as_uuid=True), nullable=False)
2019-08-28 13:25:39 +02:00
segment_id = db.Column(db.Integer, primary_key=True)
2018-05-14 13:25:00 +02:00
duration = db.Column(db.Interval, nullable=False)
pauses = db.Column(db.Interval, nullable=True)
moving = db.Column(db.Interval, nullable=True)
2019-08-28 13:25:39 +02:00
distance = db.Column(db.Numeric(6, 3), nullable=True) # kilometers
min_alt = db.Column(db.Numeric(6, 2), nullable=True) # meters
max_alt = db.Column(db.Numeric(6, 2), nullable=True) # meters
descent = db.Column(db.Numeric(7, 2), nullable=True) # meters
ascent = db.Column(db.Numeric(7, 2), nullable=True) # meters
max_speed = db.Column(db.Numeric(6, 2), nullable=True) # km/h
ave_speed = db.Column(db.Numeric(6, 2), nullable=True) # km/h
2018-05-14 13:25:00 +02:00
2021-01-02 19:28:03 +01:00
def __str__(self) -> str:
2019-08-28 13:25:39 +02:00
return (
f'<Segment \'{self.segment_id}\' '
f'for workout \'{encode_uuid(self.workout_uuid)}\'>'
2019-08-28 13:25:39 +02:00
)
2018-05-14 13:25:00 +02:00
2021-01-02 19:28:03 +01:00
def __init__(
self, segment_id: int, workout_id: int, workout_uuid: UUID
2021-01-02 19:28:03 +01:00
) -> None:
2018-05-14 13:25:00 +02:00
self.segment_id = segment_id
self.workout_id = workout_id
self.workout_uuid = workout_uuid
2018-05-14 13:25:00 +02:00
2021-01-02 19:28:03 +01:00
def serialize(self) -> Dict:
2018-05-14 13:25:00 +02:00
return {
'workout_id': encode_uuid(self.workout_uuid),
2021-01-02 19:28:03 +01:00
'segment_id': self.segment_id,
'duration': str(self.duration) if self.duration else None,
'pauses': str(self.pauses) if self.pauses else None,
'moving': str(self.moving) if self.moving else None,
'distance': float(self.distance) if self.distance else None,
'min_alt': float(self.min_alt) if self.min_alt else None,
'max_alt': float(self.max_alt) if self.max_alt else None,
'descent': float(self.descent) if self.descent else None,
'ascent': float(self.ascent) if self.ascent else None,
'max_speed': float(self.max_speed) if self.max_speed else None,
'ave_speed': float(self.ave_speed) if self.ave_speed else None,
2018-05-01 21:26:17 +02:00
}
2021-01-02 19:28:03 +01:00
class Record(BaseModel):
__tablename__ = "records"
2019-08-28 13:25:39 +02:00
__table_args__ = (
db.UniqueConstraint(
'user_id', 'sport_id', 'record_type', name='user_sports_records'
),
)
id = db.Column(db.Integer, primary_key=True, autoincrement=True)
user_id = db.Column(db.Integer, db.ForeignKey('users.id'), nullable=False)
sport_id = db.Column(
2019-08-28 13:25:39 +02:00
db.Integer, db.ForeignKey('sports.id'), nullable=False
)
workout_id = db.Column(
db.Integer, db.ForeignKey('workouts.id'), nullable=False
2019-08-28 13:25:39 +02:00
)
workout_uuid = db.Column(postgresql.UUID(as_uuid=True), nullable=False)
record_type = db.Column(Enum(*record_types, name="record_types"))
workout_date = db.Column(db.DateTime, nullable=False)
_value = db.Column("value", db.Integer, nullable=True)
2021-01-02 19:28:03 +01:00
def __str__(self) -> str:
2019-08-28 13:25:39 +02:00
return (
f'<Record {self.sports.label} - '
f'{self.record_type} - '
f"{self.workout_date.strftime('%Y-%m-%d')}>"
2019-08-28 13:25:39 +02:00
)
def __init__(self, workout: Workout, record_type: str) -> None:
self.user_id = workout.user_id
self.sport_id = workout.sport_id
self.workout_id = workout.id
self.workout_uuid = workout.uuid
self.record_type = record_type
self.workout_date = workout.workout_date
@hybrid_property
2021-01-02 19:28:03 +01:00
def value(self) -> Optional[Union[datetime.timedelta, float]]:
if self._value is None:
return None
if self.record_type == 'LD':
return datetime.timedelta(seconds=self._value)
elif self.record_type in ['AS', 'MS']:
return float(self._value / 100)
else: # 'FD'
return float(self._value / 1000)
2021-01-02 19:28:03 +01:00
@value.setter # type: ignore
def value(self, val: Union[str, float]) -> None:
self._value = convert_value_to_integer(self.record_type, val)
2021-01-02 19:28:03 +01:00
def serialize(self) -> Dict:
if self.value is None:
value = None
elif self.record_type in ['AS', 'FD', 'MS']:
2021-01-02 19:28:03 +01:00
value = float(self.value) # type: ignore
else: # 'LD'
2021-01-02 19:28:03 +01:00
value = str(self.value) # type: ignore
return {
2021-01-02 19:28:03 +01:00
'id': self.id,
'user': self.user.username,
'sport_id': self.sport_id,
'workout_id': encode_uuid(self.workout_uuid),
2021-01-02 19:28:03 +01:00
'record_type': self.record_type,
'workout_date': self.workout_date,
2021-01-02 19:28:03 +01:00
'value': value,
}
@listens_for(Record, 'after_delete')
2021-01-02 19:28:03 +01:00
def on_record_delete(
mapper: Mapper, connection: Connection, old_record: Record
) -> None:
@listens_for(db.Session, 'after_flush', once=True)
2021-01-02 19:28:03 +01:00
def receive_after_flush(session: Session, context: Any) -> None:
workout = old_record.workouts
new_records = Workout.get_user_workout_records(
workout.user_id, workout.sport_id
2019-08-28 13:25:39 +02:00
)
for record_type, record_data in new_records.items():
2019-08-28 13:25:39 +02:00
if (
record_data['record_value']
and record_type == old_record.record_type
):
new_record = Record(
workout=record_data['workout'], record_type=record_type
)
2021-01-02 19:28:03 +01:00
new_record.value = record_data['record_value'] # type: ignore
session.add(new_record)