Refactor yaml2pptx.py from a 1,245-line monolithic script into a modular architecture with clear separation of concerns. The entry point is now 127 lines, with business logic distributed across focused modules. Architecture: - core/: Domain models (elements, template, presentation) - loaders/: YAML loading and validation - renderers/: PPTX and HTML rendering - preview/: Flask preview server - utils.py: Shared utilities Key improvements: - Element abstraction layer using dataclass with validation - Renderer logic built into generator classes - Single-direction dependencies (no circular imports) - Each module 150-300 lines for better readability - Backward compatible CLI interface Documentation: - README.md: User-facing usage guide - README_DEV.md: Developer documentation OpenSpec: - Archive refactor-yaml2pptx-modular change (63/70 tasks complete) - Sync 5 delta specs to main specs (2 new + 3 updated)
192 lines
6.0 KiB
Python
192 lines
6.0 KiB
Python
"""
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模板系统模块
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管理可复用的幻灯片布局和变量解析。
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"""
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import re
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from pathlib import Path
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from loaders.yaml_loader import YAMLError, load_yaml_file, validate_template_yaml
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class Template:
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"""模板类,管理可复用的幻灯片布局"""
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def __init__(self, template_file, templates_dir=None):
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"""
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初始化模板
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Args:
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template_file: 模板名称(纯文件名,不含路径)
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templates_dir: 模板文件目录
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"""
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# 检查是否提供了 templates_dir
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if templates_dir is None:
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raise YAMLError(
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f"未指定模板目录,无法加载模板: {template_file}\n"
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f"请使用 --template-dir 参数指定模板目录"
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)
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# 验证模板名称(不能包含路径分隔符)
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if '/' in template_file or '\\' in template_file:
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raise YAMLError(
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f"模板名称不能包含路径分隔符: {template_file}\n"
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f"模板名称应该是纯文件名,如: 'title-slide'"
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)
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# 构建模板路径
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template_path = Path(templates_dir) / f"{template_file}.yaml"
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# 检查文件是否存在
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if not template_path.exists():
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raise YAMLError(
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f"模板文件不存在: {template_file}\n"
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f"查找位置: {templates_dir}\n"
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f"期望文件: {template_path}\n"
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f"提示: 请检查模板名称和模板目录是否正确"
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)
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# 加载并验证模板文件
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self.data = load_yaml_file(template_path)
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validate_template_yaml(self.data, str(template_path))
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# 解析变量定义
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self.vars_def = {}
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for var in self.data.get('vars', []):
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self.vars_def[var['name']] = var
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# 元素列表
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self.elements = self.data.get('elements', [])
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def resolve_value(self, value, vars_values):
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"""
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解析单个值中的变量引用
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Args:
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value: 要解析的值
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vars_values: 用户提供的变量值字典
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Returns:
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解析后的值
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"""
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if not isinstance(value, str):
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return value
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# 匹配 {xxx} 模式
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pattern = r'\{([^}]+)\}'
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def replacer(match):
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expr = match.group(1)
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# 模板变量: {title}
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if expr in vars_values:
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return str(vars_values[expr])
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else:
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raise YAMLError(f"未定义的变量: {expr}")
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result = re.sub(pattern, replacer, value)
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# 如果结果是纯数字字符串,转换回数字类型
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try:
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# 尝试转换为整数
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if '.' not in result:
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return int(result)
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# 尝试转换为浮点数
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else:
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return float(result)
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except ValueError:
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# 不是数字,返回字符串
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return result
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def resolve_element(self, elem, vars_values):
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"""
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递归解析元素中的所有变量
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Args:
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elem: 元素(dict, list, 或其他类型)
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vars_values: 用户提供的变量值字典
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Returns:
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解析后的元素
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"""
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if isinstance(elem, dict):
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return {k: self.resolve_element(v, vars_values)
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for k, v in elem.items() if k != 'visible'}
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elif isinstance(elem, list):
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return [self.resolve_element(item, vars_values)
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for item in elem]
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elif isinstance(elem, str):
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return self.resolve_value(elem, vars_values)
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else:
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return elem
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def evaluate_condition(self, condition, vars_values):
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"""
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评估条件表达式(简单的存在性检查)
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Args:
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condition: 条件字符串,如 "{subtitle != ''}"
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vars_values: 变量值字典
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Returns:
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bool: 条件是否满足
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"""
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# 简单实现:检查变量是否非空
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# 匹配 {var_name != ''} 或 {var_name != ""}
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pattern = r'\{(\w+)\s*!=\s*[\'\"]{2}\}'
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match = re.match(pattern, condition)
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if match:
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var_name = match.group(1)
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value = vars_values.get(var_name, '')
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return value != ''
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# 默认返回 True
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return True
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def render(self, vars_values):
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"""
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渲染模板,返回实际的元素列表
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Args:
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vars_values: 用户提供的变量值字典
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Returns:
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list: 渲染后的元素列表
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Raises:
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YAMLError: 缺少必需变量
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"""
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# 填充所有变量的默认值(如果用户未提供)
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for var_name, var_def in self.vars_def.items():
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if var_name not in vars_values:
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# 检查是否是必需变量
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if var_def.get('required', False):
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# 必需变量必须有默认值或用户提供
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if 'default' in var_def:
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vars_values[var_name] = self.resolve_value(
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var_def['default'], vars_values
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)
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else:
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raise YAMLError(f"缺少必需变量: {var_name}")
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else:
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# 可选变量使用默认值(如果有)
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if 'default' in var_def:
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vars_values[var_name] = self.resolve_value(
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var_def['default'], vars_values
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)
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# 渲染所有元素
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rendered_elements = []
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for elem in self.elements:
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# 检查条件渲染
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if 'visible' in elem:
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if not self.evaluate_condition(elem['visible'], vars_values):
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continue
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# 深度解析元素中的所有变量引用
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rendered_elem = self.resolve_element(elem, vars_values)
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rendered_elements.append(rendered_elem)
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return rendered_elements
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