98 lines
3 KiB
Python
98 lines
3 KiB
Python
import yaml
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import os
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import logging
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import shutil
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HERE = os.path.abspath(os.path.dirname(__file__))
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DEFAULT_CONFIG_PATH = os.path.join(HERE, 'openflexurerc.default.yaml')
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USER_CONFIG_PATH = os.path.join(os.path.expanduser("~"), "openflexurerc.yaml")
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TYPES = {
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'stream_resolution': tuple,
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'video_resolution': tuple,
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'image_resolution': tuple,
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'numpy_resolution': tuple,
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'jpeg_quality': int,
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'analog_gain': float,
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'digital_gain': float,
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}
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def convert_config(config: dict) -> dict:
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"""Convert datatype of config based on type dictionary."""
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global TYPES
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for key in config:
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if key in TYPES:
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config[key] = TYPES[key](config[key])
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return config
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def load_config(config_path: str=None) -> dict:
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"""
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Open openflexurerc.yaml file and write to the microscope devices.
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Args:
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config_path (str): Path to the config YAML file. If `None`, defaults to `DEFAULT_CONFIG_PATH`
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"""
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global DEFAULT_CONFIG_PATH, USER_CONFIG_PATH
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if not config_path:
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if os.path.exists(USER_CONFIG_PATH): # If user config file already exists
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config_path = USER_CONFIG_PATH # Load it
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else: # If user config file doesn't yet exist
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logging.warning("No user config found. Loading system defaults...")
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logging.info("Copying default config to user config...")
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shutil.copyfile(DEFAULT_CONFIG_PATH, USER_CONFIG_PATH)
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logging.info("Loading user config...")
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config_path = USER_CONFIG_PATH # Load defaults in
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with open(config_path) as config_file:
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config_data = yaml.load(config_file)
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# Store config dictionary to self
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return convert_config(config_data)
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def save_config(config_dict: dict, config_path: str=None, safe: bool=False):
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"""
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Save current config dictionary to a YAML file.
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Args:
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config_dict (dict): Dictionary of config data to save.
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config_path (str): Path to the config YAML file. If `None`, defaults to `DEFAULT_CONFIG_PATH`
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"""
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global USER_CONFIG_PATH
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if not config_path:
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config_path = USER_CONFIG_PATH
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with open(config_path, 'w') as outfile:
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if not safe:
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yaml.dump(config_dict, outfile)
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else:
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yaml.safe_dump(config_dict, outfile)
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def merge_config(config_dict: dict, config_path: str=None, safe: bool=False, backup: bool=True):
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"""
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merge current config dictionary with an existing YAML file.
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Args:
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config_dict (dict): Dictionary of config data to save.
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config_path (str): Path to the config YAML file. If `None`, defaults to `DEFAULT_CONFIG_PATH`
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"""
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global USER_CONFIG_PATH
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if not config_path:
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config_path = USER_CONFIG_PATH
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config_data = load_config(config_path=config_path)
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for key, value in config_dict.items():
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config_data[key] = value
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if backup:
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if os.path.isfile(config_path):
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shutil.copyfile(config_path, config_path+".bk")
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save_config(config_data, config_path=config_path, safe=safe)
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