9970446ece
- 杩?0澶╀骇鍑鸿秼鍔挎姌绾垮浘 - 鎴愭湰鏋勬垚鐜舰楗煎浘锛堜汉鍔?AI宸ュ叿/澶栧寘锛?- 椤圭洰浜у嚭瀵规瘮妯悜鏌辩姸鍥?- 鎹熻€楁帓琛屾煴鐘跺浘锛堟寜鎹熻€楃巼鐫€鑹诧級 - 鍚庣鏂板 daily_trend / cost_breakdown / project_comparison 鏁版嵁鎺ュ彛 Co-authored-by: Cursor <cursoragent@cursor.com>
198 lines
7.1 KiB
Python
198 lines
7.1 KiB
Python
"""仪表盘 + 结算路由"""
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from fastapi import APIRouter, Depends, HTTPException
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from sqlalchemy.orm import Session
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from sqlalchemy import func as sa_func
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from datetime import date, timedelta
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from database import get_db
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from models import (
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User, UserRole, Project, Submission, AIToolCost,
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ProjectStatus, ProjectType, WorkType
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)
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from auth import get_current_user, require_role
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from calculations import (
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calc_project_settlement, calc_waste_for_project,
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calc_labor_cost_for_project, calc_ai_tool_cost_for_project,
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calc_outsource_cost_for_project, calc_team_efficiency
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)
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router = APIRouter(prefix="/api", tags=["仪表盘与结算"])
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@router.get("/dashboard")
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def get_dashboard(
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db: Session = Depends(get_db),
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current_user: User = Depends(require_role(UserRole.OWNER))
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):
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"""全局仪表盘数据"""
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# 项目概览
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active = db.query(Project).filter(Project.status == ProjectStatus.IN_PROGRESS).all()
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completed = db.query(Project).filter(Project.status == ProjectStatus.COMPLETED).all()
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# 当月日期范围
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today = date.today()
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month_start = today.replace(day=1)
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# 本月人力成本（简化：统计本月所有有提交的人的日成本）
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monthly_submitters = db.query(Submission.user_id, Submission.submit_date).filter(
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Submission.submit_date >= month_start,
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Submission.submit_date <= today,
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).distinct().all()
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monthly_labor = 0.0
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processed_user_dates = set()
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for uid, d in monthly_submitters:
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key = (uid, d)
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if key not in processed_user_dates:
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processed_user_dates.add(key)
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user = db.query(User).filter(User.id == uid).first()
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if user:
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monthly_labor += user.daily_cost
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# 本月 AI 工具成本
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monthly_ai = db.query(sa_func.sum(AIToolCost.amount)).filter(
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AIToolCost.record_date >= month_start,
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AIToolCost.record_date <= today,
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).scalar() or 0
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# 本月总产出秒数
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monthly_secs = db.query(sa_func.sum(Submission.total_seconds)).filter(
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Submission.submit_date >= month_start,
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Submission.submit_date <= today,
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Submission.total_seconds > 0,
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).scalar() or 0
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# 活跃人数
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active_users = db.query(Submission.user_id).filter(
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Submission.submit_date >= month_start,
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).distinct().count()
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working_days = max(1, (today - month_start).days + 1)
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avg_daily = round(monthly_secs / max(1, active_users) / working_days, 1)
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# 各项目摘要
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project_summaries = []
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for p in active:
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waste = calc_waste_for_project(p.id, db)
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total_secs = waste.get("total_submitted_seconds", 0)
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target = p.target_total_seconds
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progress = round(total_secs / target * 100, 1) if target > 0 else 0
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is_overdue = (
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p.estimated_completion_date and today > p.estimated_completion_date
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)
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project_summaries.append({
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"id": p.id,
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"name": p.name,
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"project_type": p.project_type.value if hasattr(p.project_type, 'value') else p.project_type,
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"progress_percent": progress,
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"target_seconds": target,
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"submitted_seconds": total_secs,
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"waste_rate": waste.get("waste_rate", 0),
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"is_overdue": bool(is_overdue),
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"estimated_completion_date": str(p.estimated_completion_date) if p.estimated_completion_date else None,
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})
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# 损耗排行
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waste_ranking = []
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for p in active + completed:
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w = calc_waste_for_project(p.id, db)
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if w.get("total_waste_seconds", 0) > 0:
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waste_ranking.append({
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"project_id": p.id,
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"project_name": p.name,
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"waste_seconds": w["total_waste_seconds"],
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"waste_rate": w["waste_rate"],
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})
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waste_ranking.sort(key=lambda x: x["waste_rate"], reverse=True)
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# 已结算项目
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settled = []
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for p in completed:
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settlement = calc_project_settlement(p.id, db)
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settled.append({
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"project_id": p.id,
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"project_name": p.name,
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"project_type": settlement.get("project_type", ""),
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"total_cost": settlement.get("total_cost", 0),
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"contract_amount": settlement.get("contract_amount"),
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"profit_loss": settlement.get("profit_loss"),
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})
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# ── 图表数据：近30天每日产出趋势 ──
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daily_trend = []
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for i in range(29, -1, -1):
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d = today - timedelta(days=i)
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day_secs = db.query(sa_func.sum(Submission.total_seconds)).filter(
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Submission.submit_date == d,
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Submission.total_seconds > 0,
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).scalar() or 0
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daily_trend.append({
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"date": str(d),
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"seconds": round(day_secs, 1),
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})
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# ── 图表数据：成本构成 ──
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total_labor_all = 0.0
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total_ai_all = 0.0
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total_outsource_all = 0.0
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for p in active + completed:
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total_labor_all += calc_labor_cost_for_project(p.id, db)
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total_ai_all += calc_ai_tool_cost_for_project(p.id, db)
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total_outsource_all += calc_outsource_cost_for_project(p.id, db)
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cost_breakdown = [
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{"name": "人力成本", "value": round(total_labor_all, 0)},
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{"name": "AI工具", "value": round(total_ai_all, 0)},
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{"name": "外包", "value": round(total_outsource_all, 0)},
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]
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# ── 图表数据：各项目产出对比（进行中项目） ──
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project_comparison = []
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for p in active:
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total_secs_p = db.query(sa_func.sum(Submission.total_seconds)).filter(
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Submission.project_id == p.id,
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Submission.total_seconds > 0,
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).scalar() or 0
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project_comparison.append({
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"name": p.name,
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"submitted": round(total_secs_p, 0),
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"target": p.target_total_seconds,
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})
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return {
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"active_projects": len(active),
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"completed_projects": len(completed),
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"monthly_labor_cost": round(monthly_labor, 2),
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"monthly_ai_tool_cost": round(monthly_ai, 2),
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"monthly_total_seconds": round(monthly_secs, 1),
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"avg_daily_seconds_per_person": avg_daily,
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"projects": project_summaries,
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"waste_ranking": waste_ranking,
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"settled_projects": settled,
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# 图表数据
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"daily_trend": daily_trend,
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"cost_breakdown": cost_breakdown,
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"project_comparison": project_comparison,
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}
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@router.get("/projects/{project_id}/settlement")
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def get_settlement(
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project_id: int,
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db: Session = Depends(get_db),
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current_user: User = Depends(require_role(UserRole.OWNER))
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):
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"""项目结算报告"""
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project = db.query(Project).filter(Project.id == project_id).first()
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if not project:
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raise HTTPException(status_code=404, detail="项目不存在")
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return calc_project_settlement(project_id, db)
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@router.get("/projects/{project_id}/efficiency")
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def get_efficiency(
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project_id: int,
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db: Session = Depends(get_db),
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current_user: User = Depends(require_role(UserRole.OWNER, UserRole.SUPERVISOR, UserRole.LEADER))
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):
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"""项目团队效率数据"""
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return calc_team_efficiency(project_id, db)
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