73 lines
2.1 KiB
Python
73 lines
2.1 KiB
Python
'''
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Endomondo exercise data
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'''
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from dataclasses import dataclass
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from pathlib import Path
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from typing import Sequence, Iterable
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from .core.common import Paths, get_files
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from .core.error import Res
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from my.config import endomondo as user_config
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@dataclass
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class endomondo(user_config):
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'''
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Uses [[https://github.com/karlicoss/endoexport][endoexport]] outputs
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'''
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# paths[s]/glob to the exported JSON data
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export_path: Paths
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def inputs() -> Sequence[Path]:
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return get_files(endomondo.export_path)
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# todo add a doctor check for pip endoexport module
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import endoexport.dal
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from endoexport.dal import Point, Workout
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# todo cachew?
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def workouts() -> Iterable[Res[Workout]]:
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dal = endoexport.dal.DAL(inputs())
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yield from dal.workouts()
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def dataframe(defensive=True):
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def it():
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for w in workouts():
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if isinstance(w, Exception):
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yield {'error': str(w)}
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else:
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try:
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d = {
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'id' : w.id ,
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'start_time' : w.start_time ,
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'duration' : w.duration ,
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'sport' : w.sport ,
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'heart_rate_avg': w.heart_rate_avg,
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'speed_avg' : w.speed_avg ,
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'kcal' : w.kcal ,
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}
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except Exception as e:
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# TODO use the trace? otherwise str() might be too short..
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# r.g. for KeyError it only shows the missing key
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# todo check for 'defensive'
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d = {'error': f'{e} {w}'}
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yield d
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import pandas as pd # type: ignore
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df = pd.DataFrame(it())
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# pandas guesses integer, which is pointless for this field (might get coerced to float too)
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df['id'] = df['id'].astype(str)
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return df
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def stats():
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from .core import stat
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return stat(workouts)
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# TODO make sure it's possible to 'advise' functions and override stuff
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