def test_summarize():
c_dir = os.path.dirname(os.path.abspath(__file__))
base_dir = os.path.join(c_dir, '..')
stock_list = os.path.join(base_dir, 'data', 'stocks.txt')
data_dir = os.path.join(base_dir, 'test')
aggregator = Aggregator(stock_list, data_dir)
result = aggregator.summarize()
eq_('stocks.txt', os.path.basename(aggregator.stock_list))
eq_('test', os.path.basename(aggregator.data_dir))
eq_(True, result.empty)
return result
def test_summarize():
c_dir = os.path.dirname(os.path.abspath(__file__))
base_dir = os.path.join(c_dir, '..')
stock_list = os.path.join(base_dir, 'data',
'stocks.txt')
data_dir = os.path.join(base_dir, 'test')
aggregator = Aggregator(stock_list, data_dir)
result = aggregator.summarize()
eq_('stocks.txt', os.path.basename(aggregator.stock_list))
eq_('test', os.path.basename(aggregator.data_dir))
eq_(True, result.empty)
return result
def start_aggregator():
bc = Dash()
user, password = None, None
with open("dash.txt", 'r') as f:
for line in f:
l = line.split("=")
if len(l) > 1:
if l[0] == 'rpcuser':
user = l[1].replace("\n", "")
elif l[0] == 'rpcpassword':
password = l[1].replace("\n", "")
bc.rpc_connect(user, password)
agg = Aggregator(bc, "dash_daily.csv", "dash_24h.csv", update_rate=600)
agg.synchronize()
class Summary():
def __init__(self, filename='stocks.txt', **kwargs):
self.c_dir = os.path.dirname(os.path.abspath(__file__))
self.base_dir = os.path.join(self.c_dir, '..')
self.data_dir = os.path.join(self.base_dir, 'data')
self.stock_list = os.path.join(self.data_dir,
filename)
self.aggregator = Aggregator(self.stock_list, self.data_dir)
def aggregate(self,
filename="stocks.txt",
range=1,
sortkey='Ratio',
screening_key=None,
ascending=False,
history=False):
result = self.aggregator.summarize(range=range,
screening_key=screening_key,
sortkey=sortkey,
ascending=ascending)
p = os.path.join(
os.path.dirname(os.path.abspath(__file__)), '..', 'data',
filename)
result.to_csv(p, sep="\t", index_label="Code")
if history:
today = datetime.datetime.now().strftime('%Y%m%d')
p = os.path.join(
os.path.dirname(os.path.abspath(__file__)), '..', 'data',
'history', "".join([filename, '.', today, '.csv']))
result.to_csv(p, sep="\t", index_label="Code")
def __init__(self, filename='stocks.txt', **kwargs):
self.c_dir = os.path.dirname(os.path.abspath(__file__))
self.base_dir = os.path.join(self.c_dir, '..')
self.data_dir = os.path.join(self.base_dir, 'data')
self.stock_list = os.path.join(self.data_dir,
filename)
self.aggregator = Aggregator(self.stock_list, self.data_dir)
class Summary():
def __init__(self, filename='stocks.txt', **kwargs):
self.c_dir = os.path.dirname(os.path.abspath(__file__))
self.base_dir = os.path.join(self.c_dir, '..')
self.data_dir = os.path.join(self.base_dir, 'data')
self.stock_list = os.path.join(self.data_dir, filename)
self.aggregator = Aggregator(self.stock_list, self.data_dir)
def aggregate(self,
filename="stocks.txt",
range=1,
sortkey='Ratio',
screening_key=None,
ascending=False,
history=False):
result = self.aggregator.summarize(range=range,
screening_key=screening_key,
sortkey=sortkey,
ascending=ascending)
p = os.path.join(os.path.dirname(os.path.abspath(__file__)), '..',
'data', filename)
result.to_csv(p, sep="\t", index_label="Code")
if history:
today = datetime.datetime.now().strftime('%Y%m%d')
p = os.path.join(os.path.dirname(os.path.abspath(__file__)), '..',
'data', 'history',
"".join([filename, '.', today, '.csv']))
result.to_csv(p, sep="\t", index_label="Code")
def run_custom(self, input_path_list, output_path):
# aggregate
print('-' * 20)
outfiles = [output_path + 'aggregated.xml']
from aggregate import Aggregator
options = input_path_list + ['-o', outfiles[-1]]
Aggregator.run(options)
# convert shorthands
print('-' * 20)
outfiles += [output_path + 'converted.xml']
from convert import Converter
options = [outfiles[-2]] + ['-o', outfiles[-1]]
Converter.run(options)
# validate conversion
print('-' * 20)
from validate import Validator
options = [outfiles[-1]] + ['-o', output_path + 'validation.log']
Validator.run(options)
if self.convert_only:
return
# tokenise
print('-' * 20)
outfiles += [output_path + 'tokenised.xml']
from tokenise import TEITokeniser
options = [outfiles[-2]] + ['-o', outfiles[-1]]
TEITokeniser.run(options)
# kwic.xml
print('-' * 20)
outfiles += [output_path + 'kwic.xml']
from kwic import KWICList
options = [outfiles[-2]] + ['-o', outfiles[-1]]
if self.para_string:
options += ['-r', self.para_string]
KWICList.run(options)
# kwic.html
print('-' * 20)
outfiles += [output_path + 'kwic.html']
from kwic_html import KwicHtml
options = [outfiles[-2]] + ['-o', outfiles[-1]]
KwicHtml.run(options)
'''
sets = ['scaled', 'fixed']
loads = [
'001', '010', '020', '030', '040', '050', '060', '070', '080', '090', '100'
]
test_location = {}
tm = Template(config_file_template)
for test_set in sets:
for test_load in loads:
config = tm.render(set=test_set, load=test_load)
test_key = f'todolist-{test_set}-{test_load}'
dir_name = os.path.join('/tmp', test_key)
test_location[test_key] = dir_name
os.makedirs(dir_name, exist_ok=True)
with open(os.path.join(dir_name, 'configuration.ini'),
'w') as conf_out:
conf_out.writelines(config)
source_file = 'sample_results.jtl'
target_file = 'result_stats.csv'
zip_dir = '/tmp/todolist'
for key, value in test_location.items():
with ZipFile(os.path.join(zip_dir, f'{key}.zip'), 'r') as zipObj:
zipObj.extractall(value)
source_path = os.path.join(value, source_file)
target_path = os.path.join(value, target_file)
# Cutoff
Aggregator(source_path).write_file(target_path)
def __init__(self, filename='stocks.txt', **kwargs):
self.c_dir = os.path.dirname(os.path.abspath(__file__))
self.base_dir = os.path.join(self.c_dir, '..')
self.data_dir = os.path.join(self.base_dir, 'data')
self.stock_list = os.path.join(self.data_dir, filename)
self.aggregator = Aggregator(self.stock_list, self.data_dir)
