Files
zooqueen dd74d3e6d6 Replace AGPL MinIO fork with Apache-2.0 SeaweedFS fork; rebrand CLI weed->s3
hanzoai/s3 was an AGPL-3.0 MinIO fork whose network-copyleft blocks embedding
and reselling as a managed service. Replace it wholesale with a fork of
SeaweedFS (github.com/seaweedfs/seaweedfs, Apache-2.0, Go) which ships a
built-in S3 gateway + Filer.

- License: AGPL-3.0 -> Apache-2.0 (upstream LICENSE kept verbatim, incl.
  "Copyright 2025 Chris Lu"); NOTICE added crediting SeaweedFS. No AGPL/BUSL/
  SSPL/GPL or enterprise ("ee") files remain.
- Module: go.mod path set to github.com/hanzoai/s3 with a self-replace
  (replace github.com/seaweedfs/seaweedfs => ./) so the ~1800 internal Go files
  keep their upstream import paths with zero churn. Internal identifiers and
  import paths are intentionally NOT renamed.
- CLI rebrand: the binary is built as `s3` (was `weed`); root usage, per-command
  help/usage/flag strings, shell autocomplete program name, and the product name
  in CLI output now read "Hanzo S3" / `s3`. Users never see `weed`.
  (e.g. `s3 server`, `s3 filer`, `s3 master`, `s3 volume`, `s3 s3`, `s3 mount`.)
- Build: `make` (or `go build -o s3 ./weed`) builds the `s3` binary green;
  `cmd/weed-db` and `cmd/weed-sql` also build; `go vet ./weed/command/` clean.
- README/LLM.md rewritten for Hanzo S3; AGENTS.md/CLAUDE.md symlinks preserved.
- Dropped a 33MB prebuilt Mach-O `stress` binary upstream had committed; `.gitignore`
  updated to ignore the `s3` build output.
2026-06-18 23:41:25 -07:00

134 lines
3.1 KiB
Terraform

# SeaweedFS all-in-one on a single AWS instance.
#
# Demonstrates the layered design directly: call the cloud-agnostic core to
# render cloud-init for a `weed server` node, then attach it to one instance
# with a protected data disk. No wrapper module needed for the simple case.
#
# tofu init && tofu validate
# tofu apply # requires AWS credentials + a weed AMI
terraform {
required_version = ">= 1.3.0"
required_providers {
aws = {
source = "hashicorp/aws"
version = ">= 5.40"
}
}
}
provider "aws" {
region = var.region
}
variable "region" {
type = string
default = "us-east-1"
}
variable "vpc_id" {
type = string
}
variable "subnet_id" {
type = string
}
variable "availability_zone" {
type = string
default = "us-east-1a"
}
variable "ami_id" {
type = string
}
variable "private_ip" {
type = string
default = "10.0.1.50"
}
module "core" {
source = "../../modules/core"
weed_binary = "/usr/bin/weed"
# disable the distributed tiers; run a single all-in-one process
master = { enabled = false }
volume = { enabled = false }
filer = { enabled = false }
all_in_one = {
enabled = true
nodes = { a0 = { address = var.private_ip, data_dir = "/data" } }
s3 = { enabled = true }
}
s3_identities = [{
name = "anonymous"
access_key = ""
secret_key = ""
actions = ["Read", "List"]
}]
}
resource "aws_network_interface" "aio" {
subnet_id = var.subnet_id
private_ips = [var.private_ip]
security_groups = [aws_security_group.aio.id]
tags = { Name = "seaweedfs-all-in-one" }
}
resource "aws_security_group" "aio" {
name_prefix = "seaweedfs-aio-"
vpc_id = var.vpc_id
lifecycle {
create_before_destroy = true
}
}
resource "aws_vpc_security_group_ingress_rule" "s3" {
security_group_id = aws_security_group.aio.id
cidr_ipv4 = "10.0.0.0/8"
ip_protocol = "tcp"
from_port = 8333
to_port = 8333
}
resource "aws_vpc_security_group_egress_rule" "all" {
security_group_id = aws_security_group.aio.id
cidr_ipv4 = "0.0.0.0/0"
ip_protocol = "-1"
}
resource "aws_instance" "aio" {
ami = var.ami_id
instance_type = "m5.large"
user_data = module.core.cloud_init_by_node["all-in-one-a0"]
network_interface {
network_interface_id = aws_network_interface.aio.id
device_index = 0
}
metadata_options {
http_tokens = "required"
}
tags = { Name = "seaweedfs-all-in-one", Role = "all-in-one" }
}
resource "aws_ebs_volume" "data" {
availability_zone = var.availability_zone
size = 200
type = "gp3"
encrypted = true
tags = { Name = "seaweedfs-all-in-one-data" }
lifecycle {
prevent_destroy = true
}
}
resource "aws_volume_attachment" "data" {
device_name = "/dev/xvdf"
volume_id = aws_ebs_volume.data.id
instance_id = aws_instance.aio.id
stop_instance_before_detaching = true
}
output "instance_id" {
value = aws_instance.aio.id
}