freqtrade_origin/freqtrade/configuration/environment_vars.py

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import logging
import os
from typing import Any, Dict
from freqtrade.constants import ENV_VAR_PREFIX
from freqtrade.misc import deep_merge_dicts
logger = logging.getLogger(__name__)
def get_var_typed(val):
try:
return int(val)
except ValueError:
try:
return float(val)
except ValueError:
if val.lower() in ('t', 'true'):
return True
elif val.lower() in ('f', 'false'):
return False
# keep as string
return val
def flat_vars_to_nested_dict(env_dict: Dict[str, Any], prefix: str) -> Dict[str, Any]:
"""
Environment variables must be prefixed with FREQTRADE.
FREQTRADE__{section}__{key}
:param env_dict: Dictionary to validate - usually os.environ
:param prefix: Prefix to consider (usually FREQTRADE__)
:return: Nested dict based on available and relevant variables.
"""
no_convert = ['CHAT_ID', 'PASSWORD']
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relevant_vars: Dict[str, Any] = {}
for env_var, val in sorted(env_dict.items()):
if env_var.startswith(prefix):
logger.info(f"Loading variable '{env_var}'")
key = env_var.replace(prefix, '')
for k in reversed(key.split('__')):
val = {k.lower(): get_var_typed(val)
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if not isinstance(val, dict) and k not in no_convert else val}
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relevant_vars = deep_merge_dicts(val, relevant_vars)
return relevant_vars
def enironment_vars_to_dict() -> Dict[str, Any]:
"""
Read environment variables and return a nested dict for relevant variables
Relevant variables must follow the FREQTRADE__{section}__{key} pattern
:return: Nested dict based on available and relevant variables.
"""
return flat_vars_to_nested_dict(os.environ.copy(), ENV_VAR_PREFIX)