# Requirements: ServiceNow Data Loading Pipeline

**Feature:** data-loading-pipeline  
**Status:** Planned  
**Created:** 2025-11-03

## Requirements (EARS Format)

### WHEN the system executes the loading pipeline THEN it SHALL fetch UniFi data, transform it, and load it into ServiceNow.

**Rationale:** Complete end-to-end pipeline from source to destination.

**Acceptance:**
- Fetch data using `beast_unifi` API clients
- Transform data using transformation layer
- Create ServiceNow tables if needed
- Load data into ServiceNow CMDB
- Report success/failure status

---

### WHEN loading data into ServiceNow THEN the system SHALL support batch operations.

**Rationale:** Batch loading is more efficient than single-record operations.

**Acceptance:**
- Support loading multiple records per API call
- Handle batch size limits appropriately
- Process batches in sequence or parallel (configurable)

---

### IF a record already exists in ServiceNow THEN the system SHALL update it instead of creating a duplicate.

**Rationale:** Idempotent operations prevent duplicate records.

**Acceptance:**
- Check if record exists (by unique identifier)
- Update existing records
- Create new records if not exists
- Handle upsert operations correctly

---

### WHEN data loading fails THEN the system SHALL provide error reporting and partial success handling.

**Rationale:** Some records may succeed while others fail.

**Acceptance:**
- Report which records succeeded/failed
- Provide error details for failed records
- Support resuming from failures
- Log all operations for debugging

---

### WHERE incremental updates are needed THEN the system SHALL only load changed records.

**Rationale:** Incremental updates are more efficient than full reloads.

**Acceptance:**
- Track last sync timestamp
- Compare source data timestamps
- Only load records that have changed
- Support force-full-reload option

---

### IF ServiceNow API rate limits are encountered THEN the system SHALL implement backoff and retry logic.

**Rationale:** ServiceNow APIs have rate limits that must be respected.

**Acceptance:**
- Detect rate limit errors (429 status codes)
- Implement exponential backoff
- Retry failed requests automatically
- Respect rate limit headers

---

### WHEN the loading pipeline completes THEN the system SHALL provide summary statistics.

**Rationale:** Users need to know what was loaded.

**Acceptance:**
- Report total records processed
- Report successful/failed counts
- Report processing time
- Generate summary report

