analyze_training_load
Analyze training load from Strava activities to monitor workout intensity and optimize athletic performance.
Instructions
Анализ тренировочной нагрузки
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| activities | Yes |
Implementation Reference
- src/server.py:401-447 (handler)The core handler function for the analyze_training_load MCP tool. Decorated with @mcp.tool() for automatic registration. Computes summary statistics including total distance, time, activity types distribution, and heart rate zone breakdown from a list of Strava activities.
@mcp.tool() def analyze_training_load(activities: List[Dict]) -> Dict: """Анализ тренировочной нагрузки""" if not activities: return { "error": "Нет активностей для анализа", "activities_count": 0 } summary = { "activities_count": len(activities), "total_distance": 0, "total_time": 0, "activities_by_type": {}, "heart_rate_zones": { "easy": 0, # ЧСС < 120 "medium": 0, # ЧСС 120-150 "hard": 0, # ЧСС > 150 }, } for activity in activities: activity_type = activity.get("type") # Обновляем счетчик типа активности if activity_type not in summary["activities_by_type"]: summary["activities_by_type"][activity_type] = 0 summary["activities_by_type"][activity_type] += 1 # Суммируем дистанцию и время summary["total_distance"] += activity.get("distance", 0) summary["total_time"] += activity.get("moving_time", 0) # Анализируем зоны ЧСС hr = activity.get("average_heartrate", 0) if hr: if hr < 120: summary["heart_rate_zones"]["easy"] += 1 elif hr < 150: summary["heart_rate_zones"]["medium"] += 1 else: summary["heart_rate_zones"]["hard"] += 1 # Конвертируем единицы измерения summary["total_distance"] = round(summary["total_distance"] / 1000, 2) # в километры summary["total_time"] = round(summary["total_time"] / 3600, 2) # в часы return summary - src/server.py:401-401 (registration)The @mcp.tool() decorator registers the analyze_training_load function as an MCP tool.
@mcp.tool()