批量治理场景: portable preview with governance
`batch-eps-svg` supports 批量治理场景 delivery where consistency and traceability matter as much as export speed. Define scope, validate samples, monitor cross-platform rendering, and keep rollback-ready logs to avoid large-scale rework.
Batch SVG wrapping: manifests, checkpoints, and stratified QA
- Shard work by source, freeze DPI/viewBox snapshots, and pilot-sample each shard before full enqueue; manifests should track fingerprints, state machines, and error codes for resumable runs.
- Pause when failure clusters spike, reproduce minimal files per error class, and route corrupt EPS through manual repair instead of twisting global raster settings for everyone.
- Deliver closing reports with success ratios, top errors, parameter JSON, spot imagery, and known-issue lists so vendors or business teams can accept batches with the same gates you used internally.
EPS to SVG (batch) FAQ
Batch-wrapping tens of thousands of EPS—how do we make failures recoverable?
Emit manifests with states (pending, ok, retry, human), attach error codes and input fingerprints, and resume from checkpoints.
A few files look wrong under the same parameters—data or renderer edge?
Quarantine minimal repros and compare with desktop opens; fix odd files manually instead of twisting global settings for everyone.
Parallel jobs fill the queue—how do we prioritize hot files?
Use priority tags or a small fast lane pool with SLAs; keep bulk on standard queues to avoid starvation.
Handing batch output to a vendor—what besides files?
Ship manifests, parameter JSON, spot-check reports, and a known-issues list so they can validate with the same gates.
How do we pick a sampling rate to release a batch?
Stratify by source risk—higher for new feeds, lower for stable ones—and gate on readability plus open-failure rate, not a flat guess.