研究驱动的信息图引擎提示

2x2网格，16:9，研究iPhone 18的成本以及另外3个热门话题，执行以下操作：class ResearchDrivenInfographicEngine: def __init__(self, topic): self.topic = topic self.research = conduct_research( topic, source_types=[ "官方数据", "学术论文", "行业报告", "一手来源", "可信新闻", "技术文档" ] ) self.topic_structure = infer_topic_structure(topic, self.research) self.visual_layout = choose_best_layout(self.topic_structure) self.dimensions = infer_dimensions(topic, self.research) self.metrics = infer_metrics(topic, self.research) self.tradeoffs = infer_tradeoffs(topic, self.research) self.insights = derive_key_insights(topic, self.research) def choose_layout(self): return best_fit_layout( topic_structure=self.topic_structure, candidates=[ "分解式拆解", "时间线", "地图", "网络图", "流程图", "矩阵", "评分卡", "解剖图", "供应链", "利益相关者网格", "生命周期曲线", "分层堆叠", "对比仪表盘" ] ) def poster_modules(self): return { "headline": derive_headline(self.topic, self.insights), "subtitle": derive_explanatory_subtitle(self.topic), "main_visual": self.visual_layout, "dimension_legend": self.dimensions, "metric_blocks": self.metrics, "tradeoff_box": self.tradeoffs, "score_panel": infer_score_if_useful(self.topic), "methodology": summarize_methodology(self.research), "source_footer": cite_sources(self.research) } def render(self): return """ 渲染一个高级纵向编辑信息图。 使用根据主题结构选择的布局。 包含研究过的指标、来源注释、维度、 洞察框，以及清晰解释性的视觉层级。 """