Initial commit: Базовая структура сайта

2026-02-11 12:06:30 +05:00
parent b41f161e8f
commit d9a2ad7f15
62 changed files with 3901 additions and 0 deletions
--- a/backend/app/api/v1/summary.py
+++ b/backend/app/api/v1/summary.py
@@ -0,0 +1,123 @@
+"""
+Модуль Сводка - агрегированная гистограмма активности
+"""
+from fastapi import APIRouter, Depends, Query, HTTPException
+from sqlalchemy.orm import Session
+from sqlalchemy import text
+from datetime import datetime
+from typing import List
+from app.core.database import get_manictime_db, get_service_db
+from app.core.security import get_current_user
+from app.models.service_db import AppUser, AppConfiguration
+from app.schemas.summary import SummaryHistogramResponse, SummaryDataset
+
+router = APIRouter()
+
+
+
+
+@router.get("/histogram", response_model=SummaryHistogramResponse)
+async def get_summary_histogram(
+    start_date: str = Query(..., description="Начальная дата (YYYY-MM-DD)"),
+    end_date: str = Query(..., description="Конечная дата (YYYY-MM-DD)"),
+    current_user: AppUser = Depends(get_current_user),
+    manictime_db: Session = Depends(get_manictime_db)
+):
+    """
+    Получение данных для гистограммы активности по дням
+    """
+    try:
+        # Валидация дат
+        start_dt = datetime.strptime(start_date, "%Y-%m-%d")
+        end_dt = datetime.strptime(end_date, "%Y-%m-%d")
+        
+        if start_dt > end_dt:
+            raise HTTPException(status_code=400, detail="Начальная дата должна быть раньше конечной")
+        
+        # SQL запрос для агрегации данных
+        query = text("""
+            WITH computer_usage AS (
+                SELECT
+                    a."StartLocalTime",
+                    a."EndLocalTime",
+                    a."Name",
+                    t."OwnerId",
+                    DATE_TRUNC('day', a."StartLocalTime") AS "day"
+                FROM "Ar_Activity" a
+                JOIN "Ar_Timeline" t ON a."ReportId" = t."ReportId"
+                WHERE t."SchemaName" = 'ManicTime/Computer usage'
+                  AND a."StartLocalTime" >= :start_date
+                  AND a."EndLocalTime" <= :end_date
+            ),
+            productive_time AS (
+                SELECT
+                    a."StartLocalTime",
+                    a."EndLocalTime",
+                    t."OwnerId",
+                    DATE_TRUNC('day', a."StartLocalTime") AS "day"
+                FROM "Ar_Activity" a
+                JOIN "Ar_Timeline" t ON a."ReportId" = t."ReportId"
+                JOIN "Ar_CommonGroup" cg ON a."CommonGroupId" = cg."CommonId"
+                JOIN "Ar_CategoryGroup" cag ON cg."CommonId" = cag."CommonGroupId"
+                JOIN "Ar_Category" c ON cag."CategoryId" = c."CategoryId"
+                WHERE c."Name" = 'Productive'
+                  AND a."StartLocalTime" >= :start_date
+                  AND a."EndLocalTime" <= :end_date
+            )
+            SELECT
+                cu."day",
+                SUM(CASE WHEN cu."Name" = 'Active' 
+                    THEN EXTRACT(EPOCH FROM (cu."EndLocalTime" - cu."StartLocalTime")) 
+                    ELSE 0 END) AS active_seconds,
+                SUM(CASE WHEN cu."Name" = 'Away' 
+                    THEN EXTRACT(EPOCH FROM (cu."EndLocalTime" - cu."StartLocalTime")) 
+                    ELSE 0 END) AS away_seconds,
+                SUM(CASE WHEN cu."Name" IN ('Session Locked', 'Power Off') 
+                    THEN EXTRACT(EPOCH FROM (cu."EndLocalTime" - cu."StartLocalTime")) 
+                    ELSE 0 END) AS afk_seconds,
+                COALESCE(SUM(EXTRACT(EPOCH FROM (pt."EndLocalTime" - pt."StartLocalTime"))), 0) AS productive_seconds
+            FROM computer_usage cu
+            LEFT JOIN productive_time pt ON cu."day" = pt."day" 
+                AND cu."OwnerId" = pt."OwnerId"
+                AND pt."StartLocalTime" < cu."EndLocalTime" 
+                AND pt."EndLocalTime" > cu."StartLocalTime"
+            GROUP BY cu."day"
+            ORDER BY cu."day"
+        """)
+        
+        result = manictime_db.execute(
+            query,
+            {"start_date": start_date, "end_date": end_date}
+        )
+        
+        rows = result.fetchall()
+        
+        # Формирование ответа
+        labels = []
+        active_data = []
+        away_data = []
+        afk_data = []
+        productive_data = []
+        
+        for row in rows:
+            day = row.day.strftime("%Y-%m-%d")
+            labels.append(day)
+            active_data.append(float(row.active_seconds or 0))
+            away_data.append(float(row.away_seconds or 0))
+            afk_data.append(float(row.afk_seconds or 0))
+            productive_data.append(float(row.productive_seconds or 0))
+        
+        datasets = [
+            SummaryDataset(label="Активный", color="green", data=active_data),
+            SummaryDataset(label="Неактивный", color="red", data=away_data),
+            SummaryDataset(label="Не у ПК", color="yellow", data=afk_data),
+            SummaryDataset(label="Продуктивность", color="orange", data=productive_data),
+        ]
+        
+        return SummaryHistogramResponse(labels=labels, datasets=datasets)
+        
+    except ValueError as e:
+        raise HTTPException(status_code=400, detail=f"Неверный формат даты: {str(e)}")
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Ошибка при получении данных: {str(e)}")
+