421 lines
13 KiB
Python
421 lines
13 KiB
Python
import hashlib
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import os
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import tempfile
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import zipfile
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from datetime import datetime, timedelta
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from typing import Dict, List, Optional, Tuple, Union
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from uuid import UUID
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import gpxpy.gpx
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import pytz
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from flask import current_app
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from sqlalchemy import exc
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from staticmap import Line, StaticMap
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from werkzeug.datastructures import FileStorage
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from werkzeug.utils import secure_filename
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from fittrackee import db
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from fittrackee.users.models import User
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from .exceptions import WorkoutException
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from .models import Sport, Workout, WorkoutSegment
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from .utils_files import get_absolute_file_path
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from .utils_gpx import get_gpx_info
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def get_datetime_with_tz(
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timezone: str, workout_date: datetime, gpx_data: Optional[Dict] = None
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) -> Tuple[Optional[datetime], datetime]:
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"""
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Return naive datetime and datetime with user timezone
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"""
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workout_date_tz = None
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if timezone:
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user_tz = pytz.timezone(timezone)
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utc_tz = pytz.utc
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if gpx_data:
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# workout date in gpx is in UTC, but in naive datetime
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fmt = '%Y-%m-%d %H:%M:%S'
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workout_date_string = workout_date.strftime(fmt)
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workout_date_tmp = utc_tz.localize(
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datetime.strptime(workout_date_string, fmt)
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)
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workout_date_tz = workout_date_tmp.astimezone(user_tz)
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else:
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workout_date_tz = user_tz.localize(workout_date)
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workout_date = workout_date_tz.astimezone(utc_tz)
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# make datetime 'naive' like in gpx file
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workout_date = workout_date.replace(tzinfo=None)
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return workout_date_tz, workout_date
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def get_datetime_from_request_args(
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params: Dict, user: User
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) -> Tuple[Optional[datetime], Optional[datetime]]:
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date_from = None
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date_to = None
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date_from_str = params.get('from')
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if date_from_str:
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date_from = datetime.strptime(date_from_str, '%Y-%m-%d')
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_, date_from = get_datetime_with_tz(user.timezone, date_from)
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date_to_str = params.get('to')
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if date_to_str:
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date_to = datetime.strptime(
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f'{date_to_str} 23:59:59', '%Y-%m-%d %H:%M:%S'
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)
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_, date_to = get_datetime_with_tz(user.timezone, date_to)
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return date_from, date_to
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def update_workout_data(
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workout: Union[Workout, WorkoutSegment], gpx_data: Dict
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) -> Union[Workout, WorkoutSegment]:
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"""
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Update workout or workout segment with data from gpx file
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"""
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workout.pauses = gpx_data['stop_time']
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workout.moving = gpx_data['moving_time']
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workout.min_alt = gpx_data['elevation_min']
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workout.max_alt = gpx_data['elevation_max']
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workout.descent = gpx_data['downhill']
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workout.ascent = gpx_data['uphill']
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workout.max_speed = gpx_data['max_speed']
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workout.ave_speed = gpx_data['average_speed']
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return workout
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def create_workout(
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user: User, workout_data: Dict, gpx_data: Optional[Dict] = None
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) -> Workout:
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"""
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Create Workout from data entered by user and from gpx if a gpx file is
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provided
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"""
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workout_date = (
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gpx_data['start']
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if gpx_data
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else datetime.strptime(workout_data['workout_date'], '%Y-%m-%d %H:%M')
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)
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workout_date_tz, workout_date = get_datetime_with_tz(
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user.timezone, workout_date, gpx_data
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)
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duration = (
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gpx_data['duration']
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if gpx_data
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else timedelta(seconds=workout_data['duration'])
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)
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distance = gpx_data['distance'] if gpx_data else workout_data['distance']
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title = gpx_data['name'] if gpx_data else workout_data.get('title', '')
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new_workout = Workout(
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user_id=user.id,
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sport_id=workout_data['sport_id'],
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workout_date=workout_date,
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distance=distance,
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duration=duration,
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)
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new_workout.notes = workout_data.get('notes')
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if title is not None and title != '':
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new_workout.title = title
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else:
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sport = Sport.query.filter_by(id=new_workout.sport_id).first()
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fmt = "%Y-%m-%d %H:%M:%S"
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workout_datetime = (
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workout_date_tz.strftime(fmt)
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if workout_date_tz
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else new_workout.workout_date.strftime(fmt)
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)
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new_workout.title = f'{sport.label} - {workout_datetime}'
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if gpx_data:
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new_workout.gpx = gpx_data['filename']
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new_workout.bounds = gpx_data['bounds']
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update_workout_data(new_workout, gpx_data)
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else:
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new_workout.moving = duration
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new_workout.ave_speed = (
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None
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if duration.seconds == 0
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else float(new_workout.distance) / (duration.seconds / 3600)
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)
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new_workout.max_speed = new_workout.ave_speed
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return new_workout
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def create_segment(
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workout_id: int, workout_uuid: UUID, segment_data: Dict
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) -> WorkoutSegment:
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"""
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Create Workout Segment from gpx data
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"""
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new_segment = WorkoutSegment(
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workout_id=workout_id,
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workout_uuid=workout_uuid,
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segment_id=segment_data['idx'],
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)
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new_segment.duration = segment_data['duration']
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new_segment.distance = segment_data['distance']
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update_workout_data(new_segment, segment_data)
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return new_segment
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def update_workout(workout: Workout) -> Workout:
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"""
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Update workout data from gpx file
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"""
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gpx_data, _, _ = get_gpx_info(
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get_absolute_file_path(workout.gpx), False, False
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)
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updated_workout = update_workout_data(workout, gpx_data)
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updated_workout.duration = gpx_data['duration']
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updated_workout.distance = gpx_data['distance']
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db.session.flush()
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for segment_idx, segment in enumerate(updated_workout.segments):
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segment_data = gpx_data['segments'][segment_idx]
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updated_segment = update_workout_data(segment, segment_data)
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updated_segment.duration = segment_data['duration']
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updated_segment.distance = segment_data['distance']
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db.session.flush()
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return updated_workout
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def edit_workout(
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workout: Workout, workout_data: Dict, auth_user_id: int
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) -> Workout:
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"""
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Edit an workout
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Note: the gpx file is NOT modified
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In a next version, map_data and weather_data will be updated
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(case of a modified gpx file, see issue #7)
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"""
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user = User.query.filter_by(id=auth_user_id).first()
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if workout_data.get('refresh'):
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workout = update_workout(workout)
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if workout_data.get('sport_id'):
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workout.sport_id = workout_data.get('sport_id')
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if workout_data.get('title'):
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workout.title = workout_data.get('title')
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if workout_data.get('notes') is not None:
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workout.notes = workout_data.get('notes')
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if not workout.gpx:
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if workout_data.get('workout_date'):
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workout_date = datetime.strptime(
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workout_data['workout_date'], '%Y-%m-%d %H:%M'
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)
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_, workout.workout_date = get_datetime_with_tz(
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user.timezone, workout_date
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)
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if workout_data.get('duration'):
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workout.duration = timedelta(seconds=workout_data['duration'])
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workout.moving = workout.duration
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if workout_data.get('distance'):
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workout.distance = workout_data['distance']
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workout.ave_speed = (
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None
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if workout.duration.seconds == 0
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else float(workout.distance) / (workout.duration.seconds / 3600)
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)
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workout.max_speed = workout.ave_speed
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return workout
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def get_file_path(dir_path: str, filename: str) -> str:
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"""
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Get full path for a file
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"""
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if not os.path.exists(dir_path):
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os.makedirs(dir_path)
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file_path = os.path.join(dir_path, filename)
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return file_path
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def get_new_file_path(
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auth_user_id: int,
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workout_date: str,
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sport: str,
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old_filename: Optional[str] = None,
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extension: Optional[str] = None,
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) -> str:
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"""
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Generate a file path from user and workout data
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"""
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if not extension and old_filename:
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extension = f".{old_filename.rsplit('.', 1)[1].lower()}"
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_, new_filename = tempfile.mkstemp(
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prefix=f'{workout_date}_{sport}_', suffix=extension
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)
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dir_path = os.path.join('workouts', str(auth_user_id))
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if not os.path.exists(dir_path):
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os.makedirs(dir_path)
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file_path = os.path.join(dir_path, new_filename.split('/')[-1])
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return file_path
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def generate_map(map_filepath: str, map_data: List) -> None:
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"""
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Generate and save map image from map data
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"""
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m = StaticMap(400, 225, 10)
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line = Line(map_data, '#3388FF', 4)
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m.add_line(line)
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image = m.render()
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image.save(map_filepath)
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def get_map_hash(map_filepath: str) -> str:
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"""
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Generate a md5 hash used as id instead of workout id, to retrieve map
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image (maps are sensitive data)
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"""
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md5 = hashlib.md5()
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absolute_map_filepath = get_absolute_file_path(map_filepath)
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with open(absolute_map_filepath, 'rb') as f:
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for chunk in iter(lambda: f.read(128 * md5.block_size), b''):
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md5.update(chunk)
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return md5.hexdigest()
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def process_one_gpx_file(params: Dict, filename: str) -> Workout:
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"""
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Get all data from a gpx file to create an workout with map image
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"""
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try:
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gpx_data, map_data, weather_data = get_gpx_info(params['file_path'])
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auth_user_id = params['user'].id
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new_filepath = get_new_file_path(
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auth_user_id=auth_user_id,
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workout_date=gpx_data['start'],
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old_filename=filename,
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sport=params['sport_label'],
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)
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absolute_gpx_filepath = get_absolute_file_path(new_filepath)
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os.rename(params['file_path'], absolute_gpx_filepath)
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gpx_data['filename'] = new_filepath
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map_filepath = get_new_file_path(
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auth_user_id=auth_user_id,
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workout_date=gpx_data['start'],
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extension='.png',
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sport=params['sport_label'],
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)
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absolute_map_filepath = get_absolute_file_path(map_filepath)
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generate_map(absolute_map_filepath, map_data)
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except (gpxpy.gpx.GPXXMLSyntaxException, TypeError) as e:
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raise WorkoutException('error', 'Error during gpx file parsing.', e)
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except Exception as e:
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raise WorkoutException('error', 'Error during gpx processing.', e)
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try:
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new_workout = create_workout(
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params['user'], params['workout_data'], gpx_data
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)
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new_workout.map = map_filepath
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new_workout.map_id = get_map_hash(map_filepath)
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new_workout.weather_start = weather_data[0]
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new_workout.weather_end = weather_data[1]
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db.session.add(new_workout)
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db.session.flush()
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for segment_data in gpx_data['segments']:
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new_segment = create_segment(
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new_workout.id, new_workout.uuid, segment_data
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)
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db.session.add(new_segment)
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db.session.commit()
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return new_workout
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except (exc.IntegrityError, ValueError) as e:
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raise WorkoutException('fail', 'Error during workout save.', e)
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def process_zip_archive(common_params: Dict, extract_dir: str) -> List:
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"""
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Get files from a zip archive and create workouts, if number of files
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does not exceed defined limit.
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"""
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with zipfile.ZipFile(common_params['file_path'], "r") as zip_ref:
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zip_ref.extractall(extract_dir)
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new_workouts = []
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gpx_files_limit = current_app.config['gpx_limit_import']
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gpx_files_ok = 0
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for gpx_file in os.listdir(extract_dir):
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if (
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'.' in gpx_file
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and gpx_file.rsplit('.', 1)[1].lower()
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in current_app.config['WORKOUT_ALLOWED_EXTENSIONS']
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):
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gpx_files_ok += 1
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if gpx_files_ok > gpx_files_limit:
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break
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file_path = os.path.join(extract_dir, gpx_file)
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params = common_params
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params['file_path'] = file_path
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new_workout = process_one_gpx_file(params, gpx_file)
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new_workouts.append(new_workout)
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return new_workouts
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def process_files(
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auth_user_id: int,
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workout_data: Dict,
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workout_file: FileStorage,
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folders: Dict,
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) -> List:
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"""
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Store gpx file or zip archive and create workouts
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"""
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if workout_file.filename is None:
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raise WorkoutException('error', 'File has no filename.')
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filename = secure_filename(workout_file.filename)
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extension = f".{filename.rsplit('.', 1)[1].lower()}"
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file_path = get_file_path(folders['tmp_dir'], filename)
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sport = Sport.query.filter_by(id=workout_data.get('sport_id')).first()
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if not sport:
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raise WorkoutException(
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'error',
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f"Sport id: {workout_data.get('sport_id')} does not exist",
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)
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user = User.query.filter_by(id=auth_user_id).first()
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common_params = {
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'user': user,
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'workout_data': workout_data,
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'file_path': file_path,
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'sport_label': sport.label,
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}
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try:
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workout_file.save(file_path)
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except Exception as e:
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raise WorkoutException('error', 'Error during workout file save.', e)
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if extension == ".gpx":
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return [process_one_gpx_file(common_params, filename)]
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else:
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return process_zip_archive(common_params, folders['extract_dir'])
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def get_upload_dir_size() -> int:
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"""
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Return upload directory size
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"""
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upload_path = get_absolute_file_path('')
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total_size = 0
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for dir_path, _, filenames in os.walk(upload_path):
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for f in filenames:
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fp = os.path.join(dir_path, f)
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total_size += os.path.getsize(fp)
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return total_size
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