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fix: 修复mcp的时间查询问题，同时更新了中英文文档

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sansan
2025-11-18 07:03:23 +08:00
parent 2146bdda73
commit a450339ab7
10 changed files with 1870 additions and 60 deletions
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mcp_server/tools/analytics.py
+13 -13
View File
@@ -186,9 +186,9 @@ class AnalyticsTools:
Returns:
趋势分析结果字典
Examples:
- analyze_topic_trend_unified(topic="人工智能", analysis_type="trend", date_range={"start": "2025-10-18", "end": "2025-10-25"})
- analyze_topic_trend_unified(topic="特斯拉", analysis_type="lifecycle", date_range={"start": "2025-10-18", "end": "2025-10-25"})
Examples (假设今天是 2025-11-17):
- 用户："分析AI最近7天的趋势" → analyze_topic_trend_unified(topic="人工智能", analysis_type="trend", date_range={"start": "2025-11-11", "end": "2025-11-17"})
- 用户："看看特斯拉本月的热度" → analyze_topic_trend_unified(topic="特斯拉", analysis_type="lifecycle", date_range={"start": "2025-11-01", "end": "2025-11-17"})
- analyze_topic_trend_unified(topic="比特币", analysis_type="viral", threshold=3.0)
- analyze_topic_trend_unified(topic="ChatGPT", analysis_type="predict", lookahead_hours=6)
"""
@@ -270,10 +270,10 @@ class AnalyticsTools:
代码调用示例：
>>> tools = AnalyticsTools()
>>> # 分析7天趋势
>>> # 分析7天趋势（假设今天是 2025-11-17）
>>> result = tools.get_topic_trend_analysis(
... topic="人工智能",
... date_range={"start": "2025-10-18", "end": "2025-10-25"},
... date_range={"start": "2025-11-11", "end": "2025-11-17"},
... granularity="day"
... )
>>> # 分析历史月份趋势
@@ -421,10 +421,10 @@ class AnalyticsTools:
- "分析各平台今天的热点分布"
代码调用示例：
>>> tools = AnalyticsTools()
>>> # 对比各平台（假设今天是 2025-11-17）
>>> result = tools.compare_platforms(
... topic="人工智能",
... date_range={"start": "2025-10-01", "end": "2025-10-11"}
... date_range={"start": "2025-11-08", "end": "2025-11-17"}
... )
>>> print(result['platform_stats'])
"""
@@ -668,10 +668,10 @@ class AnalyticsTools:
... topic="特斯拉",
... limit=10
... )
>>> # 分析一周内的特斯拉新闻，返回前10条按权重排序
>>> # 分析一周内的特斯拉新闻（假设今天是 2025-11-17）
>>> result = tools.analyze_sentiment(
... topic="特斯拉",
... date_range={"start": "2025-10-06", "end": "2025-10-13"},
... date_range={"start": "2025-11-11", "end": "2025-11-17"},
... limit=10
... )
>>> print(result['ai_prompt']) # 获取生成的提示词
@@ -1355,9 +1355,9 @@ class AnalyticsTools:
- "分析各平台的发布时间规律"
代码调用示例：
>>> tools = AnalyticsTools()
>>> # 查看各平台活跃度（假设今天是 2025-11-17）
>>> result = tools.get_platform_activity_stats(
... date_range={"start": "2025-10-01", "end": "2025-10-11"}
... date_range={"start": "2025-11-08", "end": "2025-11-17"}
... )
>>> print(result['platform_activity'])
"""
@@ -1486,10 +1486,10 @@ class AnalyticsTools:
- "追踪'比特币'话题的热度变化"
代码调用示例：
>>> tools = AnalyticsTools()
>>> # 分析话题生命周期（假设今天是 2025-11-17）
>>> result = tools.analyze_topic_lifecycle(
... topic="人工智能",
... date_range={"start": "2025-10-18", "end": "2025-10-25"}
... date_range={"start": "2025-10-19", "end": "2025-11-17"}
... )
>>> print(result['lifecycle_stage'])
"""
mcp_server/tools/data_query.py
+2 -2
View File
@@ -106,11 +106,11 @@ class DataQueryTools:
Returns:
搜索结果字典
Example:
Example (假设今天是 2025-11-17):
>>> tools = DataQueryTools()
>>> result = tools.search_news_by_keyword(
... keyword="人工智能",
... date_range={"start": "2025-10-01", "end": "2025-10-11"},
... date_range={"start": "2025-11-08", "end": "2025-11-17"},
... limit=50
... )
>>> print(result['total'])