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Michael Chus 21ea129933 misc: sds format support, convert limits, dell dedup, supermicro removal, bible updates

Parser / archive:
- Add .sds extension as tar-format alias (archive.go)
- Add tests for multipart upload size limits (multipart_limits_test.go)
- Remove supermicro crashdump parser (ADL-015)

Dell parser:
- Remove GPU duplicates from PCIeDevices (DCIM_VideoView vs DCIM_PCIDeviceView
  both list the same GPU; VideoView record is authoritative)

Server:
- Add LOGPILE_CONVERT_MAX_MB env var for independent convert batch size limit
- Improve "file too large" error message with current limit value

Web:
- Add CONVERT_MAX_FILES_PER_BATCH = 1000 cap
- Minor UI copy and CSS fixes

Bible:
- bible-local/06-parsers.md: add pci.ids enrichment rule (enrich model from
  pciids when name is empty but vendor_id+device_id are present)
- Sync bible submodule and local overview/architecture docs

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-03-01 22:23:44 +03:00

1.6 KiB

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01 — Overview

What is LOGPile?

LOGPile is a standalone Go application for BMC (Baseboard Management Controller) diagnostics analysis with an embedded web UI. It runs as a single binary with no external file dependencies.

Operating modes

Mode	Entry point	Description
Offline / archive	`POST /api/upload`	Upload a vendor diagnostic archive or a JSON snapshot; parse and display in UI
Live / Redfish	`POST /api/collect`	Connect to a live BMC via Redfish API, collect hardware inventory, display and export

Both modes produce the same in-memory AnalysisResult structure and expose it through the same API and UI.

Key capabilities

Single self-contained binary with embedded HTML/JS/CSS (no static file serving required).
Vendor archive parsing: Inspur/Kaytus, Dell TSR, NVIDIA HGX Field Diagnostics, NVIDIA Bug Report, Unraid, XigmaNAS, Generic text fallback.
Live Redfish collection with async progress tracking.
Normalized hardware inventory: CPU / RAM / Storage / GPU / PSU / NIC / PCIe / Firmware.
Raw redfish_tree snapshot stored in RawPayloads for future offline re-analysis.
Re-upload of a JSON snapshot for offline work (/api/upload accepts AnalysisResult JSON).
Export in CSV, JSON (full AnalysisResult), and Reanimator format.
PCI device model resolution via embedded pci.ids (no hardcoded model strings).

Non-goals (current scope)

No persistent storage — all state is in-memory per process lifetime.
IPMI collector is a mock scaffold only; real IPMI support is not implemented.
No authentication layer on the HTTP server.

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