def generate_map(data_file, to_file, precision=PRECISION_ONE_METER):
# title = 'GPS rows (as DBs) - 2014-06-25 - 22-05-34'
title = FileUtils.get_file_name(data_file)
map_data = pandas.read_csv(data_file)
map_data.columns = ['gps', 'count']
generate_google_maps_html(map_data[:], to_file, title, precision=precision)
# plot_map(map_data[:])
print 'Done.'
def files_base_name():
sumaries_file = opts['summaries']
to_folder = opts['to_folder']
use_basename = not opts['no_basename']
if to_folder is not None:
base_name = to_folder
if not base_name.endswith('/'): base_name += '/'
else:
base_name = ''
if use_basename: base_name += FileUtils.get_file_name(sumaries_file).strip('.json').strip('.csv') + '_plot_'
print 'Plots file base name: ', base_name
return base_name
'--summaries=' + ETL_BASE + 'p27/_etl-profiler-summary-2014-11-14_19-56-45.csv'
# '--profiler=' + ETL_BASE + 'p16_2014-08-26/h9gi-nx95_profiled.profiler'
]
opts = process_args()
if opts['summaries'] is not None:
puts('===> Insight on Sumaries')
insight_on_sumaries()
generate_type_comparisson_with_metadata()
title = 'map_dbs'
data_file = opts['summaries'].replace('.csv', '_gps_dbs.csv')
to_file = opts['to_folder'] + title +'.html'
MapUtils.generate_map(data_file, to_file)
title = 'map_rows'
data_file = opts['summaries'].replace('.csv', '_gps_rows.csv')
to_file = opts['to_folder'] + title +'.html'
MapUtils.generate_map(data_file, to_file)
if opts['profiler'] is not None:
puts('===> Insight on Single Sumary')
profiler_file_name = opts['profiler']
base_name = opts['to_folder'] or FileUtils.get_file_name(profiler_file_name).strip('.json').strip('.csv')
sumary, text_profiler, numeric_profiler, geo_profiler = ProfilerUtils.read_profiler_file(profiler_file_name)
insight_on_single_sumary(base_name, sumary, text_profiler, numeric_profiler, geo_profiler)
print '\n\n> DONE: All files ploted'
