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from __future__ import annotations | |
import argparse | |
import ast | |
import json | |
import os | |
import os.path as osp | |
import re | |
import shutil | |
import sys | |
import tempfile | |
from copy import deepcopy | |
from importlib import import_module | |
import yaml | |
from .easydict import EasyDict | |
__all__ = ["Config", "pretty_text"] | |
BASE_KEY = "_base_" | |
# BASE_CONFIG = {"OUTPUT_DIR": "./workspace", "SESSION": "base", "LOG_FILE": "log.txt"} | |
BASE_CONFIG = {} | |
cfg = None | |
class Config(object): | |
"""config""" | |
def pretty_text(cls, cfg: dict, indent=2) -> str: | |
"""format dict to a string | |
Args: | |
cfg (EasyDict): the params. | |
Returns: The string to display. | |
""" | |
msg = "{\n" | |
for i, (k, v) in enumerate(cfg.items()): | |
if isinstance(v, dict): | |
v = cls.pretty_text(v, indent + 4) | |
spaces = " " * indent | |
msg += spaces + "{}: {}".format(k, v) | |
if i == len(cfg) - 1: | |
msg += " }" | |
else: | |
msg += "\n" | |
return msg | |
def dump(cls, cfg, savepath=None): | |
"""dump cfg to `json` file. | |
Args: | |
cfg (dict): The dict to dump. | |
savepath (str): The filepath to save the dumped dict. | |
Returns: TODO | |
""" | |
if savepath is None: | |
savepath = osp.join(cfg.WORKSPACE, "config.json") | |
json.dump(cfg, open(savepath, "w"), indent=2) | |
def get_config(cls, default_config: dict = None): | |
"""get a `Config` instance. | |
Args: | |
default_config (dict): The default config. `default_config` will be overrided | |
by config file `--cfg`, `--cfg` will be overrided by commandline args. | |
Returns: an EasyDict. | |
""" | |
global cfg | |
if cfg is not None: | |
return cfg | |
# define arg parser. | |
parser = argparse.ArgumentParser() | |
# parser.add_argument("--cfg", help="load configs from yaml file", default="", type=str) | |
parser.add_argument( | |
"config_file", help="the configuration file to load. support: .yaml, .json, .py" | |
) | |
parser.add_argument( | |
"opts", | |
default=None, | |
nargs="*", | |
help="overrided configs. List. Format: 'key1 name1 key2 name2'", | |
) | |
args = parser.parse_args() | |
cfg = EasyDict(BASE_CONFIG) | |
if osp.isfile(args.config_file): | |
cfg_from_file = cls.from_file(args.config_file) | |
cfg = merge_a_into_b(cfg_from_file, cfg) | |
cfg = cls.merge_list(cfg, args.opts) | |
cfg = eval_dict_leaf(cfg) | |
# update some keys to make them show at the last | |
for k in BASE_CONFIG: | |
cfg[k] = cfg.pop(k) | |
return cfg | |
def from_file(cls, filepath: str) -> EasyDict: | |
"""Build config from file. Supported filetypes: `.py`,`.yaml`,`.json`. | |
Args: | |
filepath (str): The config file path. | |
Returns: TODO | |
""" | |
filepath = osp.abspath(osp.expanduser(filepath)) | |
if not osp.isfile(filepath): | |
raise IOError(f"File does not exist: {filepath}") | |
if filepath.endswith(".py"): | |
with tempfile.TemporaryDirectory() as temp_config_dir: | |
shutil.copytree(osp.dirname(filepath), osp.join(temp_config_dir, "tmp_config")) | |
sys.path.insert(0, temp_config_dir) | |
mod = import_module("tmp_config." + osp.splitext(osp.basename(filepath))[0]) | |
# mod = import_module(temp_module_name) | |
sys.path.pop(0) | |
cfg_dict = { | |
name: value | |
for name, value in mod.__dict__.items() | |
if not name.startswith("__") | |
} | |
for k in list(sys.modules.keys()): | |
if "tmp_config" in k: | |
del sys.modules[k] | |
elif filepath.endswith((".yml", ".yaml")): | |
cfg_dict = yaml.load(open(filepath, "r"), Loader=yaml.Loader) | |
elif filepath.endswith(".json"): | |
cfg_dict = json.load(open(filepath, "r")) | |
else: | |
raise IOError("Only py/yml/yaml/json type are supported now!") | |
cfg_text = filepath + "\n" | |
with open(filepath, "r") as f: | |
cfg_text += f.read() | |
if BASE_KEY in cfg_dict: # load configs in `BASE_KEY` | |
cfg_dir = osp.dirname(filepath) | |
base_filename = cfg_dict.pop(BASE_KEY) | |
base_filename = ( | |
base_filename if isinstance(base_filename, list) else [base_filename] | |
) | |
cfg_dict_list = list() | |
for f in base_filename: | |
_cfg_dict = Config.from_file(osp.join(cfg_dir, f)) | |
cfg_dict_list.append(_cfg_dict) | |
base_cfg_dict = dict() | |
for c in cfg_dict_list: | |
if len(base_cfg_dict.keys() & c.keys()) > 0: | |
raise KeyError("Duplicate key is not allowed among bases") | |
base_cfg_dict.update(c) | |
cfg_dict = merge_a_into_b(cfg_dict, base_cfg_dict) | |
return EasyDict(cfg_dict) | |
def merge_list(cls, cfg, opts: list): | |
"""merge commandline opts. | |
Args: | |
cfg: (dict): The config to be merged. | |
opts (list): The list to merge. Format: [key1, name1, key2, name2,...]. | |
The keys can be nested. For example, ["a.b", v] will be considered | |
as `dict(a=dict(b=v))`. | |
Returns: dict. | |
""" | |
assert len(opts) % 2 == 0, f"length of opts must be even. Got: {opts}" | |
for i in range(0, len(opts), 2): | |
full_k, v = opts[i], opts[i + 1] | |
keys = full_k.split(".") | |
sub_d = cfg | |
for i, k in enumerate(keys): | |
if not hasattr(sub_d, k): | |
raise ValueError(f"The key {k} not exist in the config. Full key:{full_k}") | |
if i != len(keys) - 1: | |
sub_d = sub_d[k] | |
else: | |
sub_d[k] = v | |
return cfg | |
def merge_a_into_b(a, b, inplace=False): | |
"""The values in a will override values in b. | |
Args: | |
a (dict): source dict. | |
b (dict): target dict. | |
Returns: dict. recursively merge dict a into dict b. | |
""" | |
if not inplace: | |
b = deepcopy(b) | |
for key in a: | |
if key in b: | |
if isinstance(a[key], dict) and isinstance(b[key], dict): | |
b[key] = merge_a_into_b(a[key], b[key], inplace=True) | |
else: | |
b[key] = a[key] | |
else: | |
b[key] = a[key] | |
return b | |
def eval_dict_leaf(d, orig_dict=None): | |
"""eval values of dict leaf. | |
Args: | |
d (dict): The dict to eval. | |
Returns: dict. | |
""" | |
if orig_dict is None: | |
orig_dict = d | |
for k, v in d.items(): | |
if not isinstance(v, dict): | |
d[k] = eval_string(v, orig_dict) | |
else: | |
eval_dict_leaf(v, orig_dict) | |
return d | |
def eval_string(string, d): | |
"""automatically evaluate string to corresponding types. | |
For example: | |
not a string -> return the original input | |
'0' -> 0 | |
'0.2' -> 0.2 | |
'[0, 1, 2]' -> [0,1,2] | |
'eval(1+2)' -> 3 | |
'eval(range(5))' -> [0,1,2,3,4] | |
'${a}' -> d.a | |
Args: | |
string (str): The value to evaluate. | |
d (dict): The | |
Returns: the corresponding type | |
""" | |
if not isinstance(string, str): | |
return string | |
# if len(string) > 1 and string[0] == "[" and string[-1] == "]": | |
# return eval(string) | |
if string[0:5] == "eval(": | |
return eval(string[5:-1]) | |
s0 = string | |
s1 = re.sub(r"\${(.*)}", r"d.\1", s0) | |
if s1 != s0: | |
while s1 != s0: | |
s0 = s1 | |
s1 = re.sub(r"\${(.*)}", r"d.\1", s0) | |
return eval(s1) | |
try: | |
v = ast.literal_eval(string) | |
except: | |
v = string | |
return v | |