commit cd81214784b0d37664651280d5d8bbf9c37c319a Author: Yuyao Huang (Sam) Date: Mon Oct 27 15:34:39 2025 +0800 v0.1.0 diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..a6ec558 --- /dev/null +++ b/.gitignore @@ -0,0 +1,3 @@ +__pycache__/ +.vscode +*gitcat* \ No newline at end of file diff --git a/.python-version b/.python-version new file mode 100644 index 0000000..cc1923a --- /dev/null +++ b/.python-version @@ -0,0 +1 @@ +3.8 diff --git a/README.md b/README.md new file mode 100644 index 0000000..62eb1ad --- /dev/null +++ b/README.md @@ -0,0 +1,70 @@ +# ModYml + +## 📦 Project Introduction + +ModYml is a lightweight Python configuration management library designed for modular and reusable configurations. With YAML file support, it enables configuration inheritance, parameter overriding, and alias systems, making complex configuration management simple and intuitive. + +## ✨ Key Features + +- **Modular Configs**: Split configurations into reusable modules +- **Dynamic Inheritance**: Reference other configs using `$module.key` syntax +- **Parameter Overriding**: Modify parameters at runtime with `$module.key(param=value)` +- **Alias System**: Create short aliases for config items `key(alias)` +- **Namespace Isolation**: Automatic namespace management for config items +- **Dot-access**: Returns `EasyDict` objects for attribute-style access + +## ⚙️ Installation + +```bash +pip install modyml +``` + +## 🚀 Quick Start + +1. Create module config (`modules/optimizers.yml`): + +```yaml +adam: + type: Adam + params: + learning_rate(lr): 0.001 + weight_decay(wd): 0.0001 +``` + +2. Create experiment config (`experiments/E01.yml`): + +```yaml +training: + base_optimizer: $optimizers.adam + custom_optimizer: $optimizers.adam(lr=0.002) + special_optimizer($optimizers.adam): + params: + wd: 0.01 +``` + +3. Load configuration: + +```python +from modyml import load + +config = load( + "experiments/E01.yml", + module_files=["modules/optimizers.yml"], + base_dir="configs/" +) + +print(config.training.base_optimizer.params.lr) # Output: 0.001 +print(config.training.custom_optimizer.params.lr) # Output: 0.002 +print(config.training.special_optimizer.params.wd) # Output: 0.01 +``` + +## 🧪 Testing + +```bash +pytest tests/ +``` + +--- + +**Author**: Yuyao Huang (Sam) +**License**: MIT diff --git a/README.zh.md b/README.zh.md new file mode 100644 index 0000000..25e9d61 --- /dev/null +++ b/README.zh.md @@ -0,0 +1,57 @@ +# ModYml: 模块化配置管理库 + +## 📦 项目简介 +ModYml 是一个轻量级的 Python 配置管理库,专为模块化和可复用的配置设计。通过 YAML 文件支持配置继承、参数覆盖和别名系统,让复杂配置管理变得简单直观。 + +## ✨ 核心特性 +- **模块化配置**:将配置拆分为可复用模块 +- **动态继承**:使用 `$module.key` 语法引用其他配置 +- **参数覆盖**:支持运行时参数修改 `$module.key(param=value)` +- **别名系统**:为配置项创建简短别名 `key(alias)` +- **命名空间隔离**:自动管理配置项的命名空间 +- **点式访问**:返回 `EasyDict` 对象支持属性式访问 + +## ⚙️ 安装 +```bash +pip install modyml +``` + +## 🚀 快速开始 +1. 创建模块配置 (`modules/optimizers.yml`): +```yaml +adam: + type: Adam + params: + learning_rate(lr): 0.001 + weight_decay(wd): 0.0001 +``` + +2. 创建实验配置 (`experiments/E01.yml`): +```yaml +training: + base_optimizer: $optimizers.adam + custom_optimizer: $optimizers.adam(lr=0.002) + special_optimizer($optimizers.adam): + params: + wd: 0.01 +``` + +3. 加载配置: +```python +from modyml import load + +config = load( + "experiments/E01.yml", + module_files=["modules/optimizers.yml"], + base_dir="configs/" +) + +print(config.training.base_optimizer.params.lr) # 输出: 0.001 +print(config.training.custom_optimizer.params.lr) # 输出: 0.002 +print(config.training.special_optimizer.params.wd) # 输出: 0.01 +``` + +## 🧪 测试 +```bash +pytest tests/ +``` \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..f55e8ed --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,23 @@ +[project] +name = "modyml" +version = "0.1.0" +description = "Modular Configuation Library" +readme = "README.md" +authors = [ + { name = "Yuyao Huang (Sam)", email = "huangyuyao@outlook.com" } +] +requires-python = ">=3.8" +dependencies = [ + "easydict", + "pyyaml", +] + +[build-system] +requires = ["uv_build>=0.9.3,<0.10.0"] +build-backend = "uv_build" + +[dependency-groups] +dev = [ + "pytest", + "rich", +] diff --git a/src/modyml/__init__.py b/src/modyml/__init__.py new file mode 100644 index 0000000..5d173db --- /dev/null +++ b/src/modyml/__init__.py @@ -0,0 +1 @@ +from .loader import load \ No newline at end of file diff --git a/src/modyml/loader.py b/src/modyml/loader.py new file mode 100644 index 0000000..db2e3ac --- /dev/null +++ b/src/modyml/loader.py @@ -0,0 +1,172 @@ +import os.path as osp +import yaml +import warnings +from copy import deepcopy +from easydict import EasyDict as edict + + +def load( + experiment_file, + *, + module_files=(), + base_dir=".", + return_context:bool=False): + ctx = {} + + mods = {} + for pth in module_files: + if pth.endswith(".yml"): + mod_name = osp.basename(pth)[:-4] + mod_pth = osp.join(base_dir, pth) + with open(mod_pth, "r") as f: + mods[mod_name] = _load_mod(f, mods, ctx, mod_name, deepcopy_=False) + else: + raise ValueError(f"Unsupported file type: {pth}") + + exp_pth = osp.join(base_dir, experiment_file) + if exp_pth.endswith(".yml"): + with open(exp_pth, "r") as f: + exp_name = osp.basename(pth)[:-4] + _exp = _load_mod(f, mods, ctx, exp_name, deepcopy_=True) + else: + raise ValueError(f"Unsupported file type: {exp_pth}") + + if return_context: + return _exp, mods, ctx + else: + return edict(_exp.official) + + +def _load_mod(f, mods, ctx, ns, deepcopy_): + newmod = yaml.safe_load(f) + newmod = AliasDict(newmod, mods, ctx, ns, deepcopy_) + return newmod + + +def _resolve_dollar(dct:dict, mods, ctx, deepcopy_): + for key, value in dct.items(): + if isinstance(value, str) and value.startswith("$"): + ref_key_end = value.find("(") + if ref_key_end < 0: + ref_key_end = len(value) + ref_key = value[1:ref_key_end] + + if ref_key_end != len(value): + ref_args = eval(f"dict{value[ref_key_end:]}", globals={}, locals={}) + else: + ref_args = {} + + if ref_key in ctx: + + new_value = ctx[ref_key] + new_value = deepcopy(new_value) if deepcopy_ else new_value + + if ref_args: + if isinstance(new_value, AliasDict) and "params" in new_value: + params:AliasDict = new_value["params"] + for k, v in ref_args.items(): + params[k] = v + else: + raise ValueError(f"Reference does not has params: {ref_key}") + + dct[key] = new_value + else: + warnings.warn(f"Undefined reference: {ref_key}") + + +class AliasDict: + + def __init__(self, dct: dict, mods:dict, ctx: dict, ns:str, deepcopy_:bool): + self.dct = dct + _resolve_dollar(dct, mods, ctx, deepcopy_) + self._build_recursive(mods, ctx, ns, deepcopy_) + self._build_index(ctx, ns) + + def _build_index(self, ctx, ns): + self.aliases = {} + for key, value in self.dct.items(): + left_bracket = key.find("(") + if left_bracket >= 0: + right_bracket = key.rfind(")") + if right_bracket < 0: + right_bracket = len(key) + if right_bracket - left_bracket <= 1: + raise ValueError(f"Invalid alias: {key}") + alias_key = key[left_bracket+1:right_bracket] + if alias_key.startswith("$"): + base_class = alias_key[1:] + if not base_class in ctx: + raise ValueError(f"Undefined base class: {base_class}") + legacy = deepcopy(ctx[base_class]) + if not isinstance(legacy, AliasDict): + raise ValueError(f"Base class is not a dict: {base_class}") + legacy.dct.setdefault("params", {}) + if value == "pass": + pass + elif isinstance(value, AliasDict) and "params" in value: + for k, v in value['params'].items(): + legacy.dct["params"][k] = v + else: + raise ValueError(f"Invalid alias value: {value}") + self.dct[key] = legacy + else: + self.aliases[alias_key] = key + ctx[f"{ns}.{alias_key}"] = self.dct[key] + official_key = key[:left_bracket] + self.aliases[official_key] = key + ctx[f"{ns}.{official_key}"] = self.dct[key] + self.aliases[key] = key + ctx[f"{ns}.{key}"] = self.dct[key] + + def _build_recursive(self, mods, ctx, ns:str, deepcopy_): + for key, value in self.dct.items(): + if isinstance(value, dict): + self.dct[key] = AliasDict(value, mods, ctx, f"{ns}.{key}", deepcopy_) + else: + self.dct[key] = value + + @property + def official(self): + official_dct = {} + for key, value in self.dct.items(): + + if isinstance(value, AliasDict): + value = value.official + + left_bracket = key.find("(") + if left_bracket >= 0: + official_dct[key[:left_bracket]] = value + else: + official_dct[key] = value + return official_dct + + def __getitem__(self, key): + return self.dct[self.aliases[key]] + + def __setitem__(self, key, value): + self.dct[self.aliases[key]] = value + + def __contains__(self, key): + return key in self.aliases + + def __len__(self): + return len(self.dct) + + def __iter__(self): + return iter(self.dct) + + def __repr__(self): + return f"AliasDict({self.dct})" + + def __rich_repr__(self): + for key, value in self.dct.items(): + yield key, value + + def keys(self): + return self.dct.keys() + + def values(self): + return self.dct.values() + + def items(self): + return self.dct.items() \ No newline at end of file diff --git a/tests/fixture/experiments/E01.yml b/tests/fixture/experiments/E01.yml new file mode 100644 index 0000000..337b9d0 --- /dev/null +++ b/tests/fixture/experiments/E01.yml @@ -0,0 +1,7 @@ +training: + optimizer: $optimizers.adam + optimizer2: $optimizers.adam(lr=0.2) + optimizer3($optimizers.adam): + params: + lr: 0.3 + wd: 0.1 \ No newline at end of file diff --git a/tests/fixture/modules/optimizers.yml b/tests/fixture/modules/optimizers.yml new file mode 100644 index 0000000..4d563ac --- /dev/null +++ b/tests/fixture/modules/optimizers.yml @@ -0,0 +1,6 @@ +adam: + type: Adam + params: + learning_rate(lr): 0.001 + betas: [0.9, 0.999] + weight_decay(wd): 0.0001 \ No newline at end of file diff --git a/tests/test_loader.py b/tests/test_loader.py new file mode 100644 index 0000000..64048d5 --- /dev/null +++ b/tests/test_loader.py @@ -0,0 +1,44 @@ +import pytest +from easydict import EasyDict as edict +import modyml + + +@pytest.fixture +def _exp_mods_ctx(): + _exp, mods, ctx = modyml.load( + "experiments/E01.yml", + module_files=["modules/optimizers.yml"], + base_dir="tests/fixture", + return_context=True, + ) + return _exp, mods, ctx + + +@pytest.fixture +def exp(): + return modyml.load( + "experiments/E01.yml", + module_files=["modules/optimizers.yml"], + base_dir="tests/fixture", + ) + + +def test_resolve_name(exp): + assert exp.training.optimizer.type == "Adam" + + +def test_resolve_function(exp): + assert exp.training.optimizer2.params.learning_rate == 0.2 + + +def test_resolve_inheritance(exp): + assert exp.training.optimizer3.params.learning_rate == 0.3 + + +def test_misc(_exp_mods_ctx): + _exp, mods, ctx = _exp_mods_ctx + + from rich.pretty import pprint as rich_pprint + rich_pprint(ctx) + rich_pprint(mods) + rich_pprint(_exp) \ No newline at end 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