def delete_cache(key):
cache = shelve.open(_get_fullpath('cache'))
try:
del cache[key]
except KeyError:
pass
cache.close()
def compute_fitness_fatigue_form(
date=datetime.datetime.today().date(), planed=None):
# Define the window.
end = datetime.datetime(date.year, date.month,
date.day) + datetime.timedelta(days=1)
start = end - datetime.timedelta(days=42)
act_in_window = api.get_activities(per_page=100,
before=end.timestamp(),
after=start.timestamp())
ids_in_window = [a.get('id') for a in act_in_window]
# Compute and store daily TSS values.
cache = shelve.open(_get_fullpath('cache'))
tss_list = []
for act_id in ids_in_window:
id_str = str(act_id)
if id_str in cache:
tss_entry = cache[id_str]
tss_list.append(tss_entry)
else:
tss_entry = get_tss_entry(act_id)
cache[id_str] = tss_entry
tss_list.append(tss_entry)
cache.close()
daily_tss = compute_daily_tss(tss_list)
# Add planed TSS to daily values.
if planed:
daily_tss.update(planed)
# Compute values.
delta = end - start
tss_table = pd.DataFrame(columns=('date', 'tss'))
for i in range(delta.days + 1):
day = start + datetime.timedelta(days=i)
st_day = day.strftime('%Y-%m-%d')
if st_day in daily_tss.keys():
tss_entry = daily_tss[st_day]
else:
tss_entry = 0
tss_table = tss_table.append({
'date': st_day,
'tss': tss_entry
},
ignore_index=True)
CTL = compute_CTL(tss_table[(len(tss_table) - 42):(len(tss_table) - 1)])
ATL = compute_ATL(tss_table[(len(tss_table) - 7):(len(tss_table) - 1)])
TSB = CTL - ATL
return CTL, ATL, TSB
def clean_cache():
cache = shelve.open(_get_fullpath('cache'))
keys = list(cache.keys())
for key in keys:
del cache[key]
cache.close()
def list_cache():
cache = shelve.open(_get_fullpath('cache'))
keys = list(cache.keys())
cache.close()
return keys
def read_cache(key):
cache = shelve.open(_get_fullpath('cache'))
if key in cache:
value = cache[key]
cache.close()
return value
def write_cache(key, value):
cache = shelve.open(_get_fullpath('cache'))
cache[key] = value
cache.close()