This project aims to enhance Revit workflow efficiency by streamlining file synchronization and team communication through an advanced custom add-in that integrates seamlessly with Revit, providing automated sync detail management, real-time synchronization notifications, and robust error handling. By leveraging the Revit API, asynchronous programming, and external webhooks, this solution demonstrates the power of combining Revit's capabilities with modern software engineering practices to create a more collaborative and productive design environment.
Explanation
The Daily Schedule workflow operates through a series of automated processes designed to manage and streamline daily data operations. Here's a step-by-step explanation of how the workflow functions:
- Data Entry & Operations:
- All data entries and daily operations are managed in the operational datastore. This datastore serves as the central hub for all ongoing activities and updates throughout the day.
- Scheduled Data Export:
- At 5 am each day, a scheduled scenario exports the current state of the datastore to a CSV file. This CSV file contains all the relevant data entries and updates made during the day.
- CSV Export Storage:
- The generated CSV file is then stored in the archival database. This step ensures that all daily data is archived and can be referenced or audited when needed.
- Data Purging:
- Following the data export, another scenario is triggered at 5:30 am to purge all data in the operational datastore, resetting it for the new day's operations. This ensures the datastore remains efficient and uncluttered.
- Daily Operations & Automations:
- Throughout the day, the operational datastore is continuously updated with new data entries and operations. A scenario handles all daily tasks, automations, and ensures the datastore is kept up-to-date.
- Synchronization and Monitoring:
- Any significant changes made in the operational datastore are periodically synced back to the archival database to ensure consistency. Regular monitoring is performed to maintain data integrity and performance.
By following this workflow, the project successfully automates daily data processing, reporting, and archiving, providing a streamlined and efficient system for managing daily schedules.
