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春河晴
2025-06-10 17:31:05 +09:00
parent b0c553703f
commit 3e854719ee
13 changed files with 686 additions and 646 deletions
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72
scripts/analyze_expressions.py
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@@ -6,15 +6,17 @@ from datetime import datetime
from typing import Dict, List, Any
import sqlite3
def clean_group_name(name: str) -> str:
"""清理群组名称，只保留中文和英文字符"""
# 提取中文和英文字符
cleaned = re.sub(r'[^\u4e00-\u9fa5a-zA-Z]', '', name)
cleaned = re.sub(r"[^\u4e00-\u9fa5a-zA-Z]", "", name)
# 如果清理后为空，使用当前日期
if not cleaned:
cleaned = datetime.now().strftime("%Y%m%d")
return cleaned
def get_group_name(stream_id: str) -> str:
"""从数据库中获取群组名称"""
conn = sqlite3.connect("data/maibot.db")
@@ -42,41 +44,44 @@ def get_group_name(stream_id: str) -> str:
return clean_group_name(f"{platform}{stream_id[:8]}")
return stream_id
def load_expressions(chat_id: str) -> tuple[List[Dict[str, Any]], List[Dict[str, Any]], List[Dict[str, Any]]]:
"""加载指定群组的表达方式"""
learnt_style_file = os.path.join("data", "expression", "learnt_style", str(chat_id), "expressions.json")
learnt_grammar_file = os.path.join("data", "expression", "learnt_grammar", str(chat_id), "expressions.json")
personality_file = os.path.join("data", "expression", "personality", "expressions.json")
style_expressions = []
grammar_expressions = []
personality_expressions = []
if os.path.exists(learnt_style_file):
with open(learnt_style_file, "r", encoding="utf-8") as f:
style_expressions = json.load(f)
if os.path.exists(learnt_grammar_file):
with open(learnt_grammar_file, "r", encoding="utf-8") as f:
grammar_expressions = json.load(f)
if os.path.exists(personality_file):
with open(personality_file, "r", encoding="utf-8") as f:
personality_expressions = json.load(f)
return style_expressions, grammar_expressions, personality_expressions
def format_time(timestamp: float) -> str:
"""格式化时间戳为可读字符串"""
return datetime.fromtimestamp(timestamp).strftime("%Y-%m-%d %H:%M:%S")
def write_expressions(f, expressions: List[Dict[str, Any]], title: str):
"""写入表达方式列表"""
if not expressions:
f.write(f"{title}：暂无数据\n")
f.write("-" * 40 + "\n")
return
f.write(f"{title}：\n")
for expr in expressions:
count = expr.get("count", 0)
@@ -87,103 +92,111 @@ def write_expressions(f, expressions: List[Dict[str, Any]], title: str):
f.write(f"最后活跃: {format_time(last_active)}\n")
f.write("-" * 40 + "\n")
def write_group_report(group_file: str, group_name: str, chat_id: str, style_exprs: List[Dict[str, Any]], grammar_exprs: List[Dict[str, Any]]):
def write_group_report(
group_file: str,
group_name: str,
chat_id: str,
style_exprs: List[Dict[str, Any]],
grammar_exprs: List[Dict[str, Any]],
):
"""写入群组详细报告"""
with open(group_file, "w", encoding="utf-8") as gf:
gf.write(f"群组: {group_name} (ID: {chat_id})\n")
gf.write("=" * 80 + "\n\n")
# 写入语言风格
gf.write("【语言风格】\n")
gf.write("=" * 40 + "\n")
write_expressions(gf, style_exprs, "语言风格")
gf.write("\n")
# 写入句法特点
gf.write("【句法特点】\n")
gf.write("=" * 40 + "\n")
write_expressions(gf, grammar_exprs, "句法特点")
def analyze_expressions():
"""分析所有群组的表达方式"""
# 获取所有群组ID
style_dir = os.path.join("data", "expression", "learnt_style")
chat_ids = [d for d in os.listdir(style_dir) if os.path.isdir(os.path.join(style_dir, d))]
# 创建输出目录
output_dir = "data/expression_analysis"
personality_dir = os.path.join(output_dir, "personality")
os.makedirs(output_dir, exist_ok=True)
os.makedirs(personality_dir, exist_ok=True)
# 生成时间戳
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
# 创建总报告
summary_file = os.path.join(output_dir, f"summary_{timestamp}.txt")
with open(summary_file, "w", encoding="utf-8") as f:
f.write(f"表达方式分析报告 - 生成时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n")
f.write("=" * 80 + "\n\n")
# 先处理人格表达
personality_exprs = []
personality_file = os.path.join("data", "expression", "personality", "expressions.json")
if os.path.exists(personality_file):
with open(personality_file, "r", encoding="utf-8") as pf:
personality_exprs = json.load(pf)
# 保存人格表达总数
total_personality = len(personality_exprs)
# 排序并取前20条
personality_exprs.sort(key=lambda x: x.get("count", 0), reverse=True)
personality_exprs = personality_exprs[:20]
# 写入人格表达报告
personality_report = os.path.join(personality_dir, f"expressions_{timestamp}.txt")
with open(personality_report, "w", encoding="utf-8") as pf:
pf.write("【人格表达方式】\n")
pf.write("=" * 40 + "\n")
write_expressions(pf, personality_exprs, "人格表达")
# 写入总报告摘要中的人格表达部分
f.write("【人格表达方式】\n")
f.write("=" * 40 + "\n")
f.write(f"人格表达总数: {total_personality} (显示前20条)\n")
f.write(f"详细报告: {personality_report}\n")
f.write("-" * 40 + "\n\n")
# 处理各个群组的表达方式
f.write("【群组表达方式】\n")
f.write("=" * 40 + "\n\n")
for chat_id in chat_ids:
style_exprs, grammar_exprs, _ = load_expressions(chat_id)
# 保存总数
total_style = len(style_exprs)
total_grammar = len(grammar_exprs)
# 分别排序
style_exprs.sort(key=lambda x: x.get("count", 0), reverse=True)
grammar_exprs.sort(key=lambda x: x.get("count", 0), reverse=True)
# 只取前20条
style_exprs = style_exprs[:20]
grammar_exprs = grammar_exprs[:20]
# 获取群组名称
group_name = get_group_name(chat_id)
# 创建群组子目录（使用清理后的名称）
safe_group_name = clean_group_name(group_name)
group_dir = os.path.join(output_dir, f"{safe_group_name}_{chat_id}")
os.makedirs(group_dir, exist_ok=True)
# 写入群组详细报告
group_file = os.path.join(group_dir, f"expressions_{timestamp}.txt")
write_group_report(group_file, group_name, chat_id, style_exprs, grammar_exprs)
# 写入总报告摘要
f.write(f"群组: {group_name} (ID: {chat_id})\n")
f.write("-" * 40 + "\n")
@@ -191,11 +204,12 @@ def analyze_expressions():
f.write(f"句法特点总数: {total_grammar} (显示前20条)\n")
f.write(f"详细报告: {group_file}\n")
f.write("-" * 40 + "\n\n")
print("分析报告已生成:")
print(f"总报告: {summary_file}")
print(f"人格表达报告: {personality_report}")
print(f"各群组详细报告位于: {output_dir}")
if __name__ == "__main__":
analyze_expressions()
analyze_expressions()