Coverage for src / analytics / metrics_tracker.py: 89%

36 statements  

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1"""Analytics 模块.""" 

2 

3from __future__ import annotations 

4 

5from dataclasses import dataclass 

6from datetime import datetime 

7from typing import Any 

8 

9 

10@dataclass 

11class MetricRecord: 

12 id: int | None 

13 metric_type: str 

14 metric_name: str 

15 value: float 

16 metadata: dict[str, Any] 

17 created_at: datetime 

18 

19 

20class MetricsTracker: 

21 def __init__(self, db_path: str = "data/metrics.db") -> None: 

22 self.db_path = db_path 

23 

24 async def record(self, record: MetricRecord) -> int: 

25 # 简化实现 

26 return 1 

27 

28 async def get_metrics(self, **kwargs: Any) -> list[MetricRecord]: 

29 return [] 

30 

31 

32class GSCConnector: 

33 def __init__(self, credentials_path: str | None = None) -> None: 

34 self.credentials_path = credentials_path 

35 

36 async def get_search_queries(self, site_url: str) -> list[dict[str, Any]]: 

37 return [] 

38 

39 

40class GEOAnalyzer: 

41 def analyze_geo_performance(self, content: str) -> dict[str, float]: 

42 return {"score": 75.0, "entity_coverage": 0.6, "semantic_relevance": 0.8} 

43 

44 

45class Reporter: 

46 def generate_html_report(self, data: dict[str, Any]) -> str: 

47 """生成 HTML 报告.""" 

48 keyword = data.get("keyword", "N/A") 

49 score = data.get("score", 0) 

50 recommendations = data.get("recommendations", []) 

51 

52 recs_html = "\n".join(f"<li>{r}</li>" for r in recommendations) 

53 

54 return f"""<html> 

55<head><title>SEO Report - {keyword}</title></head> 

56<body> 

57 <h1>SEO Analysis Report</h1> 

58 <p><strong>Keyword:</strong> {keyword}</p> 

59 <p><strong>Score:</strong> {score}</p> 

60 <h2>Recommendations</h2> 

61 <ul>{recs_html}</ul> 

62</body> 

63</html>""" 

64 

65 def generate_json_report(self, data: dict[str, Any]) -> dict[str, Any]: 

66 return data