def process(reference, symbol, start, end, output_path):
print 'Reference: %s' % reference
print 'Symbol: %s' % symbol
result = data_engine.get(reference).process(symbol, start, end)
if len(result) is 0:
print 'No data found.'
filename = '%s(%s)[%s:%s].csv' % (
reference, symbol, dateutils.datetime_to_string(result.ix[0].name),
dateutils.datetime_to_string(result.ix[-1].name))
file_path = os.path.join(output_path, filename)
print 'Start: %s' % start
print 'End: %s' % end
print 'Saving results to "%s"' % file_path
result.to_csv(file_path)
def process(reference, symbol, start, end, output_path):
print 'Reference: %s' % reference
print 'Symbol: %s' % symbol
result = data_engine.get(reference).process(symbol, start, end)
if len(result) is 0:
print 'No data found.'
filename = '%s(%s)[%s:%s].csv' % (reference,
symbol,
dateutils.datetime_to_string(result.ix[0].name),
dateutils.datetime_to_string(result.ix[-1].name))
file_path = os.path.join(output_path, filename)
print 'Start: %s' % start
print 'End: %s' % end
print 'Saving results to "%s"' % file_path
result.to_csv(file_path)
def memory_profiling_job():
data_engine.select()
a = data_engine.select().all()
del a
a = data_engine.get('NORMALIZED:RAW_BOVESPA').process('PETR4')
del a
selection = data_engine.select('{RAW_BOVESPA}')
for reference in selection:
data_engine.get(reference).process('PETR4')
results = []
for reference in selection:
results.append(data_engine.get(reference).process('PETR4'))
print results
del results
for reference in selection:
data_engine.get(reference).process('PETR4')
def memory_profiling_job():
data_engine.select()
a = data_engine.select().all()
del a
a = data_engine.get('NORMALIZED:RAW_BOVESPA').process('PETR4')
del a
selection = data_engine.select('{RAW_BOVESPA}')
for reference in selection:
data_engine.get(reference).process('PETR4')
results = []
for reference in selection:
results.append(data_engine.get(reference).process('PETR4'))
print results
del results
for reference in selection:
data_engine.get(reference).process('PETR4')
