def list_only_tags(self, taglist=None):
df = pd.read_sql_query(f"SELECT * FROM {TABLE}", self.connection)
df.replace(np.nan, "", inplace=True)
df['alltags'] = df['tag1'].astype(str) + '_' + df['tag2'].astype(
str) + '_' + df['tag3'].astype(str) + '_' + df['tag4'].astype(
str) + '_' + df['tag5'].astype(str) + '_' + df['tag6'].astype(
str)
for tag in taglist:
df = df[df['alltags'].str.contains(tag)] #add exit condition here
prettyprint(df)
def list_all_tags(self, taglist=None, due=None):
taglist = list_to_sql_params(taglist)
df = pd.read_sql_query(
f'''SELECT * FROM {TABLE} WHERE
tag1 IN {taglist} OR
tag2 IN {taglist} OR
tag3 IN {taglist} OR
tag4 IN {taglist} OR
tag5 IN {taglist} OR
tag6 IN {taglist};
''', self.connection)
prettyprint(df)
#concept code for checking due date
#df['due_list'] = df['due'].apply(lambda x: parse_date(x) <= parse_date('tomorrow'))
prettyprint(filter_due_date(df, 'tomorrow'))
def imperial(self):
if (not self.unit) or (self.unit.conversion == 0L):
return ""
return "( %s %s )" % (prettyprint(self.unit.to_imperial(self.amount)), self.unit.imperial)
def view_all(self):
df = pd.read_sql_query(f"SELECT * FROM {TABLE}", self.connection)
prettyprint(df)
def metric(self):
if self.unit:
return " %s %s " % (prettyprint(self.amount), self.unit.metric)
else:
return prettyprint(self.amount)
