def build_add_btn_clicked(self):
date = pd.Timestamp(self.build_date.text())
sets = []
# Warmup sets
if self.build_warmup.text() == '': # Auto-calculate warmup if no text present
warmup = analysis.calc_warmup(self._build_tgt_e1rm, self._build_cur_lift)
sets.extend(warmup)
else:
for set in self.build_warmup.text().split(','):
parsed = analysis.parse_sets(set.strip(), self._build_tgt_e1rm)
sets.extend(parsed)
# Main/Drop sets
if self.build_top_set.text() != '':
top_set = analysis.parse_sets(self.build_top_set.text())
sets.extend(top_set)
top_weight, top_reps, top_rpe = top_set[-1]
top_e1rm = analysis.calc_e1RM(self._build_cur_lift, top_weight, top_reps, top_rpe)
fatigue = self.build_fatigue.value()
self._build_cur_workout = self.db.make_workout(self._build_cur_lift, sets, date)
drop_sets = self.build_get_drop_sets(top_set[-1], top_e1rm, fatigue, date)
self._build_cur_workout = pd.concat((self._build_cur_workout, drop_sets), ignore_index=True)
# Perform housekeeping
self.build_clear.setEnabled(True)
self.build_data_changed.emit()
self.build_accept.setEnabled(True)
self._log_unsaved_changes = True
def _make_sets_repeat(self):
if not self._drop_reps and self._drop_rpe and self._fatigue:
return pd.DataFrame()
start_rpe = analysis.rpe_table.ix[self._drop_reps, self._drop_rpe]
desired_end_rpe = start_rpe + (self._fatigue / 100.0)
if desired_end_rpe > analysis.rpe_table.ix[self._drop_reps].max():
log_warn('Cannot achieve desired fatigue with given starting set')
end_rpe_idx = np.argmin(np.abs(desired_end_rpe - analysis.rpe_table.ix[self._drop_reps]))
end_rpe = analysis.rpe_table.ix[self._drop_reps, end_rpe_idx]
sets_str = '{}x{}x{}@{}'.format(self._drop_weight, self._drop_reps, self._num_drop_sets, end_rpe)
sets_tup = analysis.parse_sets(sets_str, self._e1rm)
return self._db.make_workout(self._lift, sets_tup, self._date)
def log_add_entry(self):
try:
date = pd.Timestamp(self.log_date.date().toPyDate())
lift = self.log_lift.currentText()
if not self.db.is_valid_lift(lift):
raise ValueError('{} is not a valid lift'.format(lift))
raw_sets = self.log_sets.text().split(',')
parsed_sets = []
for set in raw_sets:
parsed_sets.extend(analysis.parse_sets(set.strip()))
comments = self.log_comments.text()
for set in parsed_sets:
weight, reps, rpe = set
self.db.add_set(date, lift, weight, reps, rpe, comments)
self.db.calc_workout_data()
self.log_date_changed(date - pd.Timedelta(days=1))
self.log_date_changed(date)
self.wl_data_changed.emit()
self.log_lift.setCurrentText('')
self.log_sets.setText('')
except (ValueError, TypeError) as err:
log_err(err, "Couldn't parse log entry")
def _make_sets_manual(self):
sets_str = self.drop_set.text()
sets_tup = analysis.parse_sets(sets_str, self._e1rm)
return self._db.make_workout(self._lift, sets_tup, self._date)
def _make_sets_drop(self):
if not self._drop_weight and self._drop_reps and self._num_drop_sets and self._drop_rpe:
return pd.DataFrame()
sets_str = '{}x{}x{}@{}'.format(self._drop_weight, self._drop_reps, self._num_drop_sets, self._drop_rpe)
sets_tup = analysis.parse_sets(sets_str, self._e1rm)
return self._db.make_workout(self._lift, sets_tup, self._date)