cpu-benchmarker-server/README.md

CPU Benchmark Submission Server

Production-oriented Go web application for ingesting CPU benchmark results, storing them in BadgerDB, searching them from an in-memory index, and rendering a server-side HTML dashboard.

Features

• POST /api/submit accepts either application/json or multipart/form-data.
• GET /api/search performs case-insensitive token matching against submitter/general fields and CPU brand strings.
• GET / renders the latest submissions with search and pagination.
• BadgerDB stores each submission under a reverse-timestamp key so native iteration returns newest records first.
• A startup-loaded in-memory search index prevents full DB deserialization for every query.
• Graceful shutdown closes the HTTP server and BadgerDB cleanly to avoid lock issues.

Project Layout

.
├── main.go
├── handlers.go
├── db.go
├── models.go
├── templates/index.html
├── http/
├── example_jsons/
├── Dockerfile
└── docker-compose.yml

Data Model

Each stored submission contains:

• submissionID: server-generated UUID
• submitter: defaults to Anonymous if omitted
• submittedAt: server-side storage timestamp
• Benchmark payload fields:
  • config
  • cpuInfo
  • startedAt
  • duration
  • totalOps
  • mOpsPerSec
  • score
  • coreResults

The parser also accepts optional CPU metadata found in your local sample JSON files such as isHybrid, has3DVCache, supportedFeatures, and cores.

Requirements

• Go 1.23+
• Docker and Docker Compose if running the containerized version

Local Development

1. Resolve modules:

   go mod tidy
   

2. Start the server:

   go run .
   

3. Open:

   • UI: http://localhost:8080/
   • API health check: http://localhost:8080/healthz

Environment Variables

Variable	Default	Description
APP_ADDR	:8080	HTTP listen address
BADGER_DIR	data/badger	BadgerDB directory
PAGE_SIZE	50	Default number of cards per UI page
SHUTDOWN_TIMEOUT	10s	Graceful shutdown timeout

API Usage

POST /api/submit

Accepted content types:

• application/json
• multipart/form-data

JSON requests support either:

1. A wrapper envelope with submitter and nested benchmark
2. A raw benchmark JSON body, with optional submitter provided via:
   • query string ?submitter=...
   • header X-Submitter
   • top-level submitter field

Multipart requests support:

• submitter text field
• benchmark JSON as one of these file fields: benchmark, file, benchmarkFile
• or benchmark JSON as text fields: benchmark, payload, result, data

Example success response:

{
  "success": true,
  "submissionID": "8f19d442-1be0-4989-97cf-3f8ee6b61548",
  "submitter": "Workstation-Lab-A",
  "submittedAt": "2026-04-15T15:45:41.327225Z"
}

GET /api/search

Query parameters:

• text: token-matches submitter and general searchable fields
• cpu: token-matches cpuInfo.brandString

Example:

curl "http://localhost:8080/api/search?text=intel&cpu=13700"

GET /

Query parameters:

• page
• text
• cpu

Examples:

http://localhost:8080/
http://localhost:8080/?page=2
http://localhost:8080/?text=anonymous&cpu=ryzen

Request Examples

Ready-to-run HTTP client examples are included in:

• http/submit-json.http
• http/submit-multipart.http
• http/search.http

You can also submit one of the provided sample payloads directly:

curl -X POST "http://localhost:8080/api/submit?submitter=Example-CLI" \
  -H "Content-Type: application/json" \
  --data-binary @example_jsons/5800X/cpu-bench-result.json

Or as multipart:

curl -X POST "http://localhost:8080/api/submit" \
  -F "submitter=Example-Multipart" \
  -F "benchmark=@example_jsons/i9/cpu-bench-result.json;type=application/json"

Storage and Search Strategy

• Primary keys are written as submission:<reversed_unix_nanos>:<uuid>.
• Reversing the timestamp means lexicographically ascending iteration yields newest submissions first.
• On startup, all submissions are loaded into an in-memory index containing:
  • canonical submission payload
  • normalized general search text
  • normalized CPU brand text
• Searches scan the in-memory ordered slice rather than reopening and deserializing Badger values for every request.

Docker

Build and run with Docker Compose:

docker compose up --build

The container exposes port 8080 and persists BadgerDB data in the named volume badger-data.

To build manually:

docker build -t cpu-benchmark-server .
docker run --rm -p 8080:8080 -v cpu-benchmark-data:/data cpu-benchmark-server

Notes

• The UI uses Go templates plus Tailwind CSS via CDN.
• Search is token-based and case-insensitive rather than edit-distance based.
• Unknown JSON fields are ignored, so benchmark clients can evolve without immediately breaking ingestion.
• If you stop the service abruptly and leave a lock behind, restart after the process exits cleanly or remove the old lock file only when you know no other instance is using the DB.