def migrate_global_config() -> List[str]:
global celo_address
logging.getLogger().info("\nMigrating the global config...")
global_config_path = CONF_DIR_PATH / "conf_global.yml"
errors = []
if global_config_path.exists():
with open(str(global_config_path), "r") as f:
data = yaml.safe_load(f)
del data["template_version"]
client_config_map = ClientConfigAdapter(ClientConfigMap())
_migrate_global_config_modes(client_config_map, data)
data.pop("kraken_api_tier", None)
data.pop("key_file_path", None)
celo_address = data.pop("celo_address", None)
keys = list(data.keys())
for key in keys:
if key in client_config_map.keys():
_migrate_global_config_field(client_config_map, data, key)
for key in data:
logging.getLogger().warning(f"Global ConfigVar {key} was not migrated.")
errors.extend(client_config_map.validate_model())
if len(errors) == 0:
save_to_yml(CLIENT_CONFIG_PATH, client_config_map)
global_config_path.unlink()
logging.getLogger().info("\nSuccessfully migrated the global config.")
else:
errors = [f"client_config_map - {e}" for e in errors]
logging.getLogger().error(f"The migration of the global config map failed with errors: {errors}")
return errors
async def prompt_for_model_config(
self, # type: HummingbotApplication
config_map: ClientConfigAdapter,
):
for key in config_map.keys():
client_data = config_map.get_client_data(key)
if (
client_data is not None
and (client_data.prompt_on_new or config_map.is_required(key))
):
await self.prompt_a_config(config_map, key)
if self.app.to_stop_config:
break
def build_config_map(cm: ClientConfigAdapter, cs: Dict):
"""This routine can be used in the create command, with slight modifications."""
for key in cm.keys():
client_data = cm.get_client_data(key)
if client_data is not None and client_data.prompt_on_new:
self.assertIsInstance(client_data.prompt(cm), str)
if key == "execution_timeframe_model":
setattr(cm, key,
"daily_between_times") # simulate user input
else:
setattr(cm, key, cs[key])
new_value = getattr(cm, key)
if isinstance(new_value, ClientConfigAdapter):
build_config_map(new_value, cs[key])
