prompt-templates

# 提示词模板系统 ## 模板架构 ### 基础模板结构 python class PromptTemplate: def __init__(self, template_string, variables=None): self.template = template_string self.variables = variables or [] def render(self, **kwargs): missing = set(self.variables) - set(kwargs.keys()) if missing: raise ValueError(f"缺少必需变量: {missing}") return self.template.format(**kwargs) # 使用示例 template = PromptTemplate( template_string="将 {text} 从 {source_lang} 翻译为 {target_lang}", variables=['text', 'source_lang', 'target_lang'] ) prompt = template.render( text="Hello world", source_lang="English", target_lang="Spanish" ) ### 条件模板 python class ConditionalTemplate(PromptTemplate): def render(self, **kwargs): # 处理条件块 result = self.template # 处理 if 块: {{#if variable}}content{{/if}} import re if_pattern = r'{{#if (w+)}}(.*?){{/if}}' def replace_if(match): var_name = match.group(1) content = match.group(2) return content if kwargs.get(var_name) else '' result = re.sub(if_pattern, replace_if, result, flags=re.DOTALL) # 处理 for 循环: {{#each items}}{{this}}{{/each}} each_pattern = r'{{#each (w+)}}(.*?){{/each}}' def replace_each(match): var_name = match.group(1) content = match.group(2) items = kwargs.get(var_name, []) return '\n'.join(content.replace('{{this}}', str(item)) for item in items) result = re.sub(each_pattern, replace_each, result, flags=re.DOTALL) # 最后，渲染剩余变量 return result.format(**kwargs) # 使用示例 template = ConditionalTemplate(""" 分析以下文本: {text} {{#if include_sentiment}} 提供情感分析。 {{/if}} {{#if include_entities}} 提取命名实体。 {{/if}} {{#if examples}} 参考示例: {{#each examples}} - {{this}} {{/each}} {{/if}} """) ### 模块化模板组合 python class ModularTemplate: def __init__(self): self.components = {} def register_component(self, name, template): self.components[name] = template def render(self, structure, **kwargs): parts = [] for component_name in structure: if component_name in self.comp