Drafting Requirements and Design Documents for Backup Recovery and Disaster Recovery Drills: Forms and Interactions

Core data for this category originates from four sources: backup systems, database logs, object storage, and disaster recovery platforms. Update

Data structure for this category

Core data for this category originates from four sources: backup systems, database logs, object storage, and disaster recovery platforms. Update frequencies are split into three tiers: daily, monthly, and quarterly.

Daily produced documents fall into four types: backup policies, recovery drill reports, disaster recovery switchover plans, and data verification records.

  • Backup policies include fields such as backup windows and storage media.
  • Recovery drill reports include details such as recovery time and verification results.
  • Disaster recovery switchover plans include information such as switchover procedures and emergency contacts.
  • Data verification records include parameters such as hash values and verification times.

Fields for all document types must align with the format requirements of their corresponding data sources to ensure cross-system data consistency.

Constraints imposed on forms and interactions

Since data sources cover multiple system types, forms must support associating fields from different data sources to eliminate manual entry errors.

Differing update frequencies across documents require forms to implement differentiated submission and synchronization rules, to match the rhythms of daily, monthly, and quarterly updated documents.

Core time-consuming steps include recovery point confirmation, drill script execution, and data consistency verification. Forms must split these into separate interaction nodes to reduce initial rendering load and avoid page lag.

Errors here directly impact business continuity, so forms must enforce required field validation and format validation to prevent missing key fields.

Cross-system recoverability requirements mean forms must support dynamic association of disaster recovery-related configuration items, to adapt to flexible business adjustment needs.

Configuration settings

All configurations below are based on FastGPT v4.17.0.

Configuration ItemRecommended ApproachRationale
Form input node formInputTest example: Select 3 required input fields from backup recovery and disaster recovery drill fields; actual fields are determined per taskThis node collects user input; missing required items require checking interaction status to avoid subsequent nodes failing to receive complete input
User selection node userSelectTest example: Set 2 business options, verify corresponding branches one by oneThis node handles user selection; queries and filtering of backup recovery and disaster recovery drill related records must be implemented by subsequent interfaces or external systems
Post-submission field passingTest example: Prepare 10 backup recovery and disaster recovery drill input samples, covering complete filling, missing required items, and canceled operationsCompare input and node output to confirm whether subsequent nodes receive corresponding fields; result thresholds are determined per actual task
External implementation item: Form field groupingMust be implemented separately by external systems; split into four groups: backup policies, drill reports, plans, and verification recordsCorresponds to the four types of daily document structures, facilitating categorized filling and review
External implementation item: Recovery Point Objective (RPO) inputMust be implemented separately by external systems; calibrated via actual testing, value range is 300-3600 seconds (test example)Must match actual backup intervals of backup systems, adapting to recovery requirements of different businesses
External implementation item: Drill script execution nodeMust be implemented separately by external systems; expandable collapse panel, default collapsed stateThis link is a core time-consuming item; collapsing reduces initial page rendering load and avoids lag

Three common implementation errors

  • Phenomenon: Input lag occurs after page load, and input boxes become unresponsive. Verification steps: Check the rendering configuration of form nodes in the workflow, confirm whether only currently visible grouped fields are loaded. This optimization must be implemented via external front-end deployment or workflow node configuration.
  • Phenomenon: The reference variable dropdown is empty, with no selectable options. Verification steps: Check whether corresponding global variables have been configured in the workflow, confirm whether the userSelect node is correctly bound to a variable source. Variable sources are maintained by external business systems.
  • Phenomenon: A prompt indicating the browser does not support voice input appears after form submission. Verification steps: Check the enabled status of the browser's voice input function. This prompt is unrelated to FastGPT form configuration.

How to verify correct configuration

  • Verify that form field groups correspond one-to-one with the four daily document types: backup policies, drill reports, plans, and verification records. Confirm that fields under each group meet the structural requirements of their corresponding documents.
  • Test data consistency verification fields of the formInput type. Enter content matching the 64-256 character hash value format, confirm that input can be submitted normally. The consistency verification logic is implemented by external business systems.
  • Attempt to bind variables to the disaster recovery knowledge base node of the userSelect type, confirm that the dropdown can normally load disaster recovery-related configuration items maintained by external systems.
  • Simulate a multi-node loading scenario, enter content for various fields, confirm that the page has no obvious lag and input operations respond normally.

The values provided here are common starting points, and should be evaluated against the reader's own samples.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.