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Phase 8: Visitor Management - Visitor/VisitorLog/AccessZone models - Check-in/out with badge generation - Zone occupancy tracking - Kiosk and management pages Phase 9: Messaging & Communication - Announcements with priority levels - Acknowledgement tracking - Shift notes for team handoffs - AnnouncementBanner component Phase 10: Compliance & Audit Trail - Immutable AuditLog model - Document versioning and approval workflow - Acknowledgement tracking for SOPs - CSV export for audit logs Phase 11: Accessibility & i18n - WCAG 2.1 AA compliance utilities - react-i18next with EN/ES translations - User preferences context (theme, font size, etc) - High contrast and reduced motion support Phase 12: Hardware Integration - QR code generation for batches/plants/visitors - Printable label system - Visitor badge printing Phase 13: Advanced Features - Environmental monitoring (sensors, readings, alerts) - Financial tracking (transactions, P&L reports) - AI/ML insights (yield predictions, anomaly detection)
42 lines
1.5 KiB
Markdown
42 lines
1.5 KiB
Markdown
# Phase 6: Reporting & Analytics - Implementation Plan
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## Goal
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Provide actionable insights through dashboards and reports, helping operators understand yield trends, staff productivity, and operational health.
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## 🏃 Sprint 1: Analytics API & Core Metrics
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**Objective**: Build backend endpoints that aggregate data for reporting.
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- **Backend**:
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- `AnalyticsController`: Endpoints for key metrics:
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- `GET /api/analytics/overview`: Total batches, active batches, tasks completed this week, etc.
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- `GET /api/analytics/yield`: Yield data by batch/strain (from weight logs).
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- `GET /api/analytics/tasks`: Task completion rates, overdue tasks.
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- **Frontend**:
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- Enhanced Dashboard with real metrics (replace placeholder data).
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## 🏃 Sprint 2: Yield Reports
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**Objective**: Visualize harvest performance.
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- **Frontend**:
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- **Yield Report Page**: Table/chart showing grams per batch, grams per plant, comparisons across strains.
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- **Strain Performance**: Which strains yield best?
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## 🏃 Sprint 3: Staff Productivity & Task Analytics
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**Objective**: Understand team performance.
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- **Frontend**:
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- **Task Completion Dashboard**: Tasks completed per user, on-time vs overdue.
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- **Timeclock Summary**: Hours worked per user (integrate with existing timeclock).
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---
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## Technical Dependencies
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- `WeightLog` model for yield data.
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- `Task` model for completion tracking.
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- `TimeClock` model for hours worked.
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- Consider using a charting library like `recharts` or `chart.js`.
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