asepharyana
8106f8943e
New crates: - mytheclipse-queue: unified job queue with WorkerPool, retry/backoff, DLQ Backends: in-memory (default), Redis, NATS, PostgreSQL - mytheclipse-tracing: tracing subscriber layers with env filter + OTLP/Jaeger export - mytheclipse-http: HTTP client/server with timeout + tracing, axum server - mytheclipse-cli: CLI framework with clap derive, built-in subcommands Enhancements to existing crates: - mytheclipse-core: SemaphorePool, LeaderElection, HealthRegistry/HealthCheck - mytheclipse-cache: AutoRefreshCache (bg refresh on miss), CacheMetrics - mytheclipse-config: ConfigSchema for JSON Schema generation - mytheclipse-storage: MultipartUploadDriver trait - mytheclipse-crypto: PASETO v4.local token support All features compile with --all-features; tests + clippy pass clean.
mytheclipse-storage
A unified storage & file system abstraction so file handling isn't locked to one physical location.
- Local disk (default) — plain files under a root directory.
- S3-compatible object storage (
s3) — Amazon S3, and any S3-compatible endpoint (MinIO included) via a custom endpoint URL. - Google Cloud Storage (
gcs).
All operations are stream-based, so uploading/downloading a huge object never requires holding it entirely in memory.
Usage
use mytheclipse_storage::{LocalFileStorage, StorageDriver, bytes_stream, read_to_vec};
let storage = LocalFileStorage::new("/var/data");
storage.put("uploads/report.csv", bytes_stream(data)).await?;
let bytes = read_to_vec(storage.get("uploads/report.csv").await?).await?;
Swap LocalFileStorage::new(path) for S3Storage::connect("bucket").await? or
GcsStorage::connect("bucket").await? to move to a distributed backend
without touching call sites.