def read_results():
dir_path = path.REPORTS_DATA_DIR_PATH
dir_path_list = glob.glob(os.path.join(dir_path, '*/'))
results = []
for dir_path in dir_path_list:
file_path = os.path.join(dir_path, path.RESULT_JSON_FILE)
result = json.read(file_path)
results.append(result)
df = pd.DataFrame(results)
df = df.set_index("start_timestamp")
df.index.name = "timestamp"
df = df.sort_values("timestamp")
return df
def get_result_data(self, report_mode=False):
if report_mode:
config_file_path = os.path.join(path.REPORTS_DATA_DIR_PATH,
self.timestamp,
path.CONFIG_JSON_FILE)
config = json.read(config_file_path)
self.arbitrage.run(amount=int(config["amount"]),
open_threshold=int(config["open_threshold"]),
profit_margin_diff=int(
config["profit_margin_diff"]),
open_threshold_change_sec=int(
config["open_threshold_change_sec"]))
else:
self.arbitrage.run()
return self.arbitrage.get_result_data()
def __read_profit(self, keyword):
file_name = "{}.json".format(keyword)
file_path = os.path.join(self.dir_path, path.ASSETS_DIR, file_name)
return json.read(file_path)
def __read_config(self):
file_path = os.path.join(self.dir_path, path.CONFIG_JSON_FILE)
return json.read(file_path)
def read_trading_end_asset(timestamp):
file_path = __asset_file_path(timestamp, path.TRADING_END_ASSET_FILE)
return json.read(file_path)
def read_trading_start_asset(timestamp):
file_path = __asset_file_path(timestamp, path.TRADING_START_ASSET_FILE)
return json.read(file_path)
def __read_asset(keyword):
file_name = "{}.json".format(keyword)
file_path = os.path.join(dir_path, path.ASSETS_DIR, file_name)
return json.read(file_path)