hmo
04db423416
- 70 skills with code and documentation - Add .gitignore (ignore __pycache__, output/, temp/, venv/) - Clean up test intermediates and caches
322 lines
10 KiB
Python
322 lines
10 KiB
Python
"""
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视频内容分析框架
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用于分析心理学/恋爱技巧类视频内容
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"""
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import json
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from pathlib import Path
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class VideoContentAnalyzer:
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def __init__(self, video_title):
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self.video_title = video_title
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self.analysis = {
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"title": video_title,
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"category": self._determine_category(),
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"key_concepts": [],
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"core_principles": [],
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"practical_techniques": [],
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"psychological_insights": [],
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"controversial_points": [],
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"ethical_considerations": [],
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"key_quotes": [],
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"summary": "",
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}
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def _determine_category(self):
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"""根据标题确定视频类别"""
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title_lower = self.video_title.lower()
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categories = {
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"relationship_psychology": ["爱", "恋爱", "女人", "男人", "感情", "关系"],
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"self_improvement": ["方法", "技巧", "提升", "改变"],
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"controversial": ["脏", "强行", "套路", "操控"],
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"educational": ["心理学", "心理", "科学", "研究"],
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}
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detected = []
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for cat, keywords in categories.items():
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for kw in keywords:
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if kw in title_lower:
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detected.append(cat)
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break
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return detected if detected else ["unknown"]
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def analyze_transcript(self, transcript_text):
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"""分析转录文本"""
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print(f"分析视频: {self.video_title}")
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print(f"类别: {', '.join(self.analysis['category'])}")
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print(f"转录长度: {len(transcript_text)} 字符")
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# 提取关键概念
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self._extract_key_concepts(transcript_text)
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# 提取核心原则
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self._extract_core_principles(transcript_text)
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# 提取实用技巧
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self._extract_practical_techniques(transcript_text)
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# 提取心理学洞察
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self._extract_psychological_insights(transcript_text)
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# 识别争议点
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self._identify_controversial_points(transcript_text)
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# 伦理考量
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self._analyze_ethical_considerations(transcript_text)
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# 提取关键引述
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self._extract_key_quotes(transcript_text)
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# 生成总结
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self._generate_summary(transcript_text)
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return self.analysis
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def _extract_key_concepts(self, text):
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"""提取关键概念"""
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# 这里可以添加更复杂的NLP处理
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concepts = []
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# 简单关键词提取（实际应用中应该用更复杂的方法）
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concept_keywords = [
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"吸引力",
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"价值",
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"框架",
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"需求感",
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"投资",
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"服从性",
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"筛选",
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"推拉",
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"冷读",
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"心锚",
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]
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for concept in concept_keywords:
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if concept in text:
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concepts.append(concept)
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self.analysis["key_concepts"] = concepts
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def _extract_core_principles(self, text):
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"""提取核心原则"""
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# 寻找原则性陈述
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principle_indicators = [
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"原则是",
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"核心是",
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"关键在于",
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"最重要的是",
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"本质是",
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"根本在于",
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]
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principles = []
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lines = text.split("。")
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for line in lines:
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for indicator in principle_indicators:
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if indicator in line:
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principles.append(line.strip())
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break
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self.analysis["core_principles"] = principles[:5] # 取前5个
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def _extract_practical_techniques(self, text):
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"""提取实用技巧"""
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technique_indicators = ["方法", "技巧", "步骤", "操作", "做法", "策略", "战术"]
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techniques = []
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lines = text.split("。")
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for line in lines:
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for indicator in technique_indicators:
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if indicator in line and len(line) < 100: # 避免太长的句子
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techniques.append(line.strip())
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break
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self.analysis["practical_techniques"] = techniques[:10] # 取前10个
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def _extract_psychological_insights(self, text):
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"""提取心理学洞察"""
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insight_indicators = [
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"心理学",
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"心理",
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"潜意识",
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"认知",
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"情绪",
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"动机",
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"需求",
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"人性",
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]
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insights = []
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lines = text.split("。")
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for line in lines:
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for indicator in insight_indicators:
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if indicator in line:
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insights.append(line.strip())
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break
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self.analysis["psychological_insights"] = insights[:8]
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def _identify_controversial_points(self, text):
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"""识别争议点"""
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controversial_indicators = [
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"脏",
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"强行",
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"操控",
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"套路",
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"欺骗",
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"利用",
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"不道德",
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"争议",
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]
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points = []
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lines = text.split("。")
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for line in lines:
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for indicator in controversial_indicators:
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if indicator in line:
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points.append(line.strip())
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break
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self.analysis["controversial_points"] = points
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def _analyze_ethical_considerations(self, text):
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"""分析伦理考量"""
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ethical_indicators = [
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"尊重",
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"真诚",
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"诚实",
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"道德",
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"伦理",
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"责任",
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"伤害",
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"欺骗",
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]
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considerations = []
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lines = text.split("。")
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for line in lines:
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for indicator in ethical_indicators:
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if indicator in line:
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considerations.append(line.strip())
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break
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self.analysis["ethical_considerations"] = considerations
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def _extract_key_quotes(self, text):
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"""提取关键引述"""
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# 寻找可能的重要陈述
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lines = text.split("。")
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quotes = []
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for line in lines:
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line = line.strip()
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if len(line) > 20 and len(line) < 150: # 适中的长度
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# 检查是否包含重要关键词
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important_words = [
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"爱",
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"感情",
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"关系",
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"心理",
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"方法",
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"技巧",
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"价值",
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"吸引",
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]
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if any(word in line for word in important_words):
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quotes.append(line)
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self.analysis["key_quotes"] = quotes[:5]
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def _generate_summary(self, text):
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"""生成总结"""
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# 简单的总结生成（实际应用中应该用LLM）
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summary = f"视频《{self.video_title}》主要探讨了"
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if self.analysis["key_concepts"]:
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summary += f"关于{', '.join(self.analysis['key_concepts'][:3])}等概念"
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if self.analysis["practical_techniques"]:
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summary += f"，提出了{len(self.analysis['practical_techniques'])}个实用技巧"
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if self.analysis["controversial_points"]:
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summary += f"，其中包含一些具有争议性的观点"
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if self.analysis["ethical_considerations"]:
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summary += f"，同时也涉及伦理考量"
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summary += "。"
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self.analysis["summary"] = summary
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def save_analysis(self, output_path):
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"""保存分析结果"""
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with open(output_path, "w", encoding="utf-8") as f:
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json.dump(self.analysis, f, ensure_ascii=False, indent=2)
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print(f"分析结果已保存到: {output_path}")
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def print_analysis(self):
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"""打印分析结果"""
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print("\n" + "=" * 60)
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print("视频内容分析报告")
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print("=" * 60)
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print(f"\n📺 视频标题: {self.analysis['title']}")
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print(f"📂 类别: {', '.join(self.analysis['category'])}")
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print(f"📝 总结: {self.analysis['summary']}")
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print(f"\n🔑 关键概念 ({len(self.analysis['key_concepts'])}个):")
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for concept in self.analysis["key_concepts"]:
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print(f" • {concept}")
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print(f"\n🎯 核心原则 ({len(self.analysis['core_principles'])}个):")
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for i, principle in enumerate(self.analysis["core_principles"], 1):
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print(f" {i}. {principle}")
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print(f"\n🛠️ 实用技巧 ({len(self.analysis['practical_techniques'])}个):")
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for i, technique in enumerate(self.analysis["practical_techniques"][:5], 1):
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print(f" {i}. {technique}")
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if len(self.analysis["practical_techniques"]) > 5:
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print(f" ... 还有{len(self.analysis['practical_techniques']) - 5}个技巧")
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print(f"\n🧠 心理学洞察 ({len(self.analysis['psychological_insights'])}个):")
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for i, insight in enumerate(self.analysis["psychological_insights"][:3], 1):
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print(f" {i}. {insight}")
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if self.analysis["controversial_points"]:
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print(f"\n⚠️ 争议点 ({len(self.analysis['controversial_points'])}个):")
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for i, point in enumerate(self.analysis["controversial_points"], 1):
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print(f" {i}. {point}")
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if self.analysis["ethical_considerations"]:
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print(f"\n⚖️ 伦理考量 ({len(self.analysis['ethical_considerations'])}个):")
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for i, consideration in enumerate(
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self.analysis["ethical_considerations"], 1
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):
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print(f" {i}. {consideration}")
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if self.analysis["key_quotes"]:
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print(f"\n💬 关键引述 ({len(self.analysis['key_quotes'])}个):")
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for i, quote in enumerate(self.analysis["key_quotes"], 1):
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print(f' {i}. "{quote}"')
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# 使用示例
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if __name__ == "__main__":
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video_title = "一个很'脏'的方法，让你喜欢的女人强行爱上你！"
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analyzer = VideoContentAnalyzer(video_title)
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# 这里应该读取转录文本
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# transcript = "转录文本内容..."
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# analysis = analyzer.analyze_transcript(transcript)
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# 保存分析结果
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# analyzer.save_analysis("video_analysis.json")
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# analyzer.print_analysis()
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print("分析框架已创建，等待转录文本...")
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