def default(self, *args):
if len(args) == 0: # show all dbs
return self.list_all_dbs()
elif len(args) == 1: # show all tables for a db
return self.list_all_tables(args[0])
message = ''
print 'args', args
urlparams = UrlParams(datadb.object_cache, self.features, *args)
print 'up', urlparams
sql, sql_params = urlparams.to_sql()
print 'sql', sql
data, column_names, error = datadb.execute_on_db_uniq(urlparams.db_uniq, sql, sql_params)
if error:
raise Exception('Error executing the query: ' + error)
# print 'data', data
column_info = datadb.get_column_info(urlparams.db_uniq, urlparams.table, column_names) # TODO highlight PK in UI
if urlparams.output_format == 'json':
# stringify everything, not to get "is not JSON serializable"
stringified = []
for row in data:
stringified.append([str(x) for x in row]) # TODO better to cast all cols to ::text in SQL?
return json.dumps(stringified)
elif urlparams.output_format in ['graph', 'png']:
return self.plot_graph(data, urlparams)
elif urlparams.output_format == 'csv':
return self.to_csv(data, column_names, urlparams)
else:
tmpl = env.get_template('index.html')
return tmpl.render(message=message, dbname=urlparams.dbname, table=urlparams.table, sql=sql, data=data,
column_info=column_info, max_text_length=self.features['maximum_text_column_length'])
def fill_timeline_holes(data, bucket, db_uniq):
""" fills gaps with zeroes between min and max with help of database
data: [(datetime, count),...], bucket: [min|hour|day|week|month]
TODO can be actually added to the initial select
"""
if len(data) <= 1:
return data
data_as_dict = {}
for d in data:
data_as_dict[d[0]] = d
ret_data = []
sql = "select generate_series(%s, %s, '1{}'::interval)".format(bucket)
time_series, col_names, error = datadb.execute_on_db_uniq(db_uniq, sql, (data[0][0], data[-1][0]))
if error:
raise Exception(error)
for s in time_series:
ret_data.append(data_as_dict.get(s[0], (s[0], 0L)))
return ret_data