Files
MyFSIO/docs.md
2026-01-19 12:33:47 +08:00

1399 lines
46 KiB
Markdown
Raw Permalink Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
# MyFSIO Documentation
This document expands on the README to describe the full workflow for running, configuring, and extending MyFSIO. Use it as a playbook for local S3-style experimentation.
## 1. System Overview
MyFSIO ships two Flask entrypoints that share the same storage, IAM, and bucket-policy state:
- **API server** Implements the S3-compatible REST API, policy evaluation, and Signature Version 4 presign service.
- **UI server** Provides the browser console for buckets, IAM, and policies. It proxies to the API for presign operations.
Both servers read `AppConfig`, so editing JSON stores on disk instantly affects both surfaces.
## 2. Quickstart
```bash
python -m venv .venv
. .venv/Scripts/activate # PowerShell: .\.venv\Scripts\Activate.ps1
pip install -r requirements.txt
# Run both API and UI
python run.py
```
Visit `http://127.0.0.1:5100/ui` to use the console and `http://127.0.0.1:5000/` (with IAM headers) for raw API calls.
### Run modes
You can run services individually if needed:
```bash
python run.py --mode api # API only (port 5000)
python run.py --mode ui # UI only (port 5100)
```
### Configuration validation
Validate your configuration before deploying:
```bash
# Show configuration summary
python run.py --show-config
./myfsio --show-config
# Validate and check for issues (exits with code 1 if critical issues found)
python run.py --check-config
./myfsio --check-config
```
### Linux Installation (Recommended for Production)
For production deployments on Linux, use the provided installation script:
```bash
# Download the binary and install script
# Then run the installer with sudo:
sudo ./scripts/install.sh --binary ./myfsio
# Or with custom paths:
sudo ./scripts/install.sh \
--binary ./myfsio \
--install-dir /opt/myfsio \
--data-dir /mnt/storage/myfsio \
--log-dir /var/log/myfsio \
--api-url https://s3.example.com \
--user myfsio
# Non-interactive mode (for automation):
sudo ./scripts/install.sh --binary ./myfsio -y
```
The installer will:
1. Create a dedicated system user
2. Set up directories with proper permissions
3. Generate a secure `SECRET_KEY`
4. Create an environment file at `/opt/myfsio/myfsio.env`
5. Install and configure a systemd service
After installation:
```bash
sudo systemctl start myfsio # Start the service
sudo systemctl enable myfsio # Enable on boot
sudo systemctl status myfsio # Check status
sudo journalctl -u myfsio -f # View logs
```
To uninstall:
```bash
sudo ./scripts/uninstall.sh # Full removal
sudo ./scripts/uninstall.sh --keep-data # Keep data directory
```
### Docker quickstart
The repo now ships a `Dockerfile` so you can run both services in one container:
```bash
docker build -t myfsio .
docker run --rm -p 5000:5000 -p 5100:5100 \
-v "$PWD/data:/app/data" \
-v "$PWD/logs:/app/logs" \
-e SECRET_KEY="change-me" \
--name myfsio myfsio
```
PowerShell (Windows) example:
```powershell
docker run --rm -p 5000:5000 -p 5100:5100 `
-v ${PWD}\data:/app/data `
-v ${PWD}\logs:/app/logs `
-e SECRET_KEY="change-me" `
--name myfsio myfsio
```
Key mount points:
- `/app/data` &rarr; persists buckets directly under `/app/data/<bucket>` while system metadata (IAM config, bucket policies, versions, multipart uploads, etc.) lives under `/app/data/.myfsio.sys` (for example, `/app/data/.myfsio.sys/config/iam.json`).
- `/app/logs` &rarr; captures the rotating app log.
- `/app/tmp-storage` (optional) if you rely on the demo upload staging folders.
With these volumes attached you can rebuild/restart the container without losing stored objects or credentials.
### Versioning
The repo now tracks a human-friendly release string inside `app/version.py` (see the `APP_VERSION` constant). Edit that value whenever you cut a release. The constant flows into Flask as `APP_VERSION` and is exposed via `GET /myfsio/health`, so you can monitor deployments or surface it in UIs.
## 3. Configuration Reference
All configuration is done via environment variables. The table below lists every supported variable.
### Core Settings
| Variable | Default | Notes |
| --- | --- | --- |
| `STORAGE_ROOT` | `<repo>/data` | Filesystem home for all buckets/objects. |
| `MAX_UPLOAD_SIZE` | `1073741824` (1 GiB) | Bytes. Caps incoming uploads in both API + UI. |
| `UI_PAGE_SIZE` | `100` | `MaxKeys` hint shown in listings. |
| `SECRET_KEY` | Auto-generated | Flask session key. Auto-generates and persists if not set. **Set explicitly in production.** |
| `API_BASE_URL` | `None` | Public URL for presigned URLs. Required behind proxies. |
| `AWS_REGION` | `us-east-1` | Region embedded in SigV4 credential scope. |
| `AWS_SERVICE` | `s3` | Service string for SigV4. |
### IAM & Security
| Variable | Default | Notes |
| --- | --- | --- |
| `IAM_CONFIG` | `data/.myfsio.sys/config/iam.json` | Stores users, secrets, and inline policies. |
| `BUCKET_POLICY_PATH` | `data/.myfsio.sys/config/bucket_policies.json` | Bucket policy store (auto hot-reload). |
| `AUTH_MAX_ATTEMPTS` | `5` | Failed login attempts before lockout. |
| `AUTH_LOCKOUT_MINUTES` | `15` | Lockout duration after max failed attempts. |
| `SESSION_LIFETIME_DAYS` | `30` | How long UI sessions remain valid. |
| `SECRET_TTL_SECONDS` | `300` | TTL for ephemeral secrets (presigned URLs). |
| `UI_ENFORCE_BUCKET_POLICIES` | `false` | Whether the UI should enforce bucket policies. |
### CORS (Cross-Origin Resource Sharing)
| Variable | Default | Notes |
| --- | --- | --- |
| `CORS_ORIGINS` | `*` | Comma-separated allowed origins. Use specific domains in production. |
| `CORS_METHODS` | `GET,PUT,POST,DELETE,OPTIONS,HEAD` | Allowed HTTP methods. |
| `CORS_ALLOW_HEADERS` | `*` | Allowed request headers. |
| `CORS_EXPOSE_HEADERS` | `*` | Response headers visible to browsers (e.g., `ETag`). |
### Rate Limiting
| Variable | Default | Notes |
| --- | --- | --- |
| `RATE_LIMIT_DEFAULT` | `200 per minute` | Default rate limit for API endpoints. |
| `RATE_LIMIT_STORAGE_URI` | `memory://` | Storage backend for rate limits. Use `redis://host:port` for distributed setups. |
### Logging
| Variable | Default | Notes |
| --- | --- | --- |
| `LOG_LEVEL` | `INFO` | Log verbosity: `DEBUG`, `INFO`, `WARNING`, `ERROR`. |
| `LOG_TO_FILE` | `true` | Enable file logging. |
| `LOG_DIR` | `<repo>/logs` | Directory for log files. |
| `LOG_FILE` | `app.log` | Log filename. |
| `LOG_MAX_BYTES` | `5242880` (5 MB) | Max log file size before rotation. |
| `LOG_BACKUP_COUNT` | `3` | Number of rotated log files to keep. |
### Encryption
| Variable | Default | Notes |
| --- | --- | --- |
| `ENCRYPTION_ENABLED` | `false` | Enable server-side encryption support. |
| `ENCRYPTION_MASTER_KEY_PATH` | `data/.myfsio.sys/keys/master.key` | Path to the master encryption key file. |
| `DEFAULT_ENCRYPTION_ALGORITHM` | `AES256` | Default algorithm for new encrypted objects. |
| `KMS_ENABLED` | `false` | Enable KMS key management for encryption. |
| `KMS_KEYS_PATH` | `data/.myfsio.sys/keys/kms_keys.json` | Path to store KMS key metadata. |
## Lifecycle Rules
Lifecycle rules automate object management by scheduling deletions based on object age.
### Enabling Lifecycle Enforcement
By default, lifecycle enforcement is disabled. Enable it by setting the environment variable:
```bash
LIFECYCLE_ENABLED=true python run.py
```
Or in your `myfsio.env` file:
```
LIFECYCLE_ENABLED=true
LIFECYCLE_INTERVAL_SECONDS=3600 # Check interval (default: 1 hour)
```
### Configuring Rules
Once enabled, configure lifecycle rules via:
- **Web UI:** Bucket Details → Lifecycle tab → Add Rule
- **S3 API:** `PUT /<bucket>?lifecycle` with XML configuration
### Available Actions
| Action | Description |
|--------|-------------|
| **Expiration** | Delete current version objects after N days |
| **NoncurrentVersionExpiration** | Delete old versions N days after becoming noncurrent (requires versioning) |
| **AbortIncompleteMultipartUpload** | Clean up incomplete multipart uploads after N days |
### Example Configuration (XML)
```xml
<LifecycleConfiguration>
<Rule>
<ID>DeleteOldLogs</ID>
<Status>Enabled</Status>
<Filter><Prefix>logs/</Prefix></Filter>
<Expiration><Days>30</Days></Expiration>
</Rule>
</LifecycleConfiguration>
```
### Performance Tuning
| Variable | Default | Notes |
| --- | --- | --- |
| `STREAM_CHUNK_SIZE` | `65536` (64 KB) | Chunk size for streaming large files. |
| `MULTIPART_MIN_PART_SIZE` | `5242880` (5 MB) | Minimum part size for multipart uploads. |
| `BUCKET_STATS_CACHE_TTL` | `60` | Seconds to cache bucket statistics. |
| `BULK_DELETE_MAX_KEYS` | `500` | Maximum keys per bulk delete request. |
### Server Settings
| Variable | Default | Notes |
| --- | --- | --- |
| `APP_HOST` | `0.0.0.0` | Network interface to bind to. |
| `APP_PORT` | `5000` | API server port (UI uses 5100). |
| `FLASK_DEBUG` | `0` | Enable Flask debug mode. **Never enable in production.** |
### Production Checklist
Before deploying to production, ensure you:
1. **Set `SECRET_KEY`** - Use a strong, unique value (e.g., `openssl rand -base64 32`)
2. **Restrict CORS** - Set `CORS_ORIGINS` to your specific domains instead of `*`
3. **Configure `API_BASE_URL`** - Required for correct presigned URLs behind proxies
4. **Enable HTTPS** - Use a reverse proxy (nginx, Cloudflare) with TLS termination
5. **Review rate limits** - Adjust `RATE_LIMIT_DEFAULT` based on your needs
6. **Secure master keys** - Back up `ENCRYPTION_MASTER_KEY_PATH` if using encryption
7. **Use `--prod` flag** - Runs with Waitress instead of Flask dev server
### Proxy Configuration
If running behind a reverse proxy (e.g., Nginx, Cloudflare, or a tunnel), ensure the proxy sets the standard forwarding headers:
- `X-Forwarded-Host`
- `X-Forwarded-Proto`
The application automatically trusts these headers to generate correct presigned URLs (e.g., `https://s3.example.com/...` instead of `http://127.0.0.1:5000/...`). Alternatively, you can explicitly set `API_BASE_URL` to your public endpoint.
## 4. Upgrading and Updates
### Version Checking
The application version is tracked in `app/version.py` and exposed via:
- **Health endpoint:** `GET /myfsio/health` returns JSON with `version` field
- **Metrics dashboard:** Navigate to `/ui/metrics` to see the running version in the System Status card
To check your current version:
```bash
# API health endpoint
curl http://localhost:5000/myfsio/health
# Or inspect version.py directly
cat app/version.py | grep APP_VERSION
```
### Pre-Update Backup Procedures
**Always backup before upgrading to prevent data loss:**
```bash
# 1. Stop the application
# Ctrl+C if running in terminal, or:
docker stop myfsio # if using Docker
# 2. Backup configuration files (CRITICAL)
mkdir -p backups/$(date +%Y%m%d_%H%M%S)
cp -r data/.myfsio.sys/config backups/$(date +%Y%m%d_%H%M%S)/
# 3. Backup all data (optional but recommended)
tar -czf backups/data_$(date +%Y%m%d_%H%M%S).tar.gz data/
# 4. Backup logs for audit trail
cp -r logs backups/$(date +%Y%m%d_%H%M%S)/
```
**Windows PowerShell:**
```powershell
# Create timestamped backup
$timestamp = Get-Date -Format "yyyyMMdd_HHmmss"
New-Item -ItemType Directory -Path "backups\$timestamp" -Force
# Backup configs
Copy-Item -Recurse "data\.myfsio.sys\config" "backups\$timestamp\"
# Backup entire data directory
Compress-Archive -Path "data\" -DestinationPath "backups\data_$timestamp.zip"
```
**Critical files to backup:**
- `data/.myfsio.sys/config/iam.json` User accounts and access keys
- `data/.myfsio.sys/config/bucket_policies.json` Bucket access policies
- `data/.myfsio.sys/config/kms_keys.json` Encryption keys (if using KMS)
- `data/.myfsio.sys/config/secret_store.json` Application secrets
### Update Procedures
#### Source Installation Updates
```bash
# 1. Backup (see above)
# 2. Pull latest code
git fetch origin
git checkout main # or your target branch/tag
git pull
# 3. Check for dependency changes
pip install -r requirements.txt
# 4. Review CHANGELOG/release notes for breaking changes
cat CHANGELOG.md # if available
# 5. Run migration scripts (if any)
# python scripts/migrate_vX_to_vY.py # example
# 6. Restart application
python run.py
```
#### Docker Updates
```bash
# 1. Backup (see above)
# 2. Pull/rebuild image
docker pull yourregistry/myfsio:latest
# OR rebuild from source:
docker build -t myfsio:latest .
# 3. Stop and remove old container
docker stop myfsio
docker rm myfsio
# 4. Start new container with same volumes
docker run -d \
--name myfsio \
-p 5000:5000 -p 5100:5100 \
-v "$(pwd)/data:/app/data" \
-v "$(pwd)/logs:/app/logs" \
-e SECRET_KEY="your-secret" \
myfsio:latest
# 5. Verify health
curl http://localhost:5000/myfsio/health
```
### Version Compatibility Checks
Before upgrading across major versions, verify compatibility:
| From Version | To Version | Breaking Changes | Migration Required |
|--------------|------------|------------------|-------------------|
| 0.1.x | 0.2.x | None expected | No |
| 0.1.6 | 0.1.7 | None | No |
| < 0.1.0 | >= 0.1.0 | New IAM config format | Yes - run migration script |
**Automatic compatibility detection:**
The application will log warnings on startup if config files need migration:
```
WARNING: IAM config format is outdated (v1). Please run: python scripts/migrate_iam.py
```
**Manual compatibility check:**
```bash
# Compare version schemas
python -c "from app.version import APP_VERSION; print(f'Running: {APP_VERSION}')"
python scripts/check_compatibility.py data/.myfsio.sys/config/
```
### Migration Steps for Breaking Changes
When release notes indicate breaking changes, follow these steps:
#### Config Format Migrations
```bash
# 1. Backup first (critical!)
cp data/.myfsio.sys/config/iam.json data/.myfsio.sys/config/iam.json.backup
# 2. Run provided migration script
python scripts/migrate_iam_v1_to_v2.py
# 3. Validate migration
python scripts/validate_config.py
# 4. Test with read-only mode first (if available)
# python run.py --read-only
# 5. Restart normally
python run.py
```
#### Database/Storage Schema Changes
If object metadata format changes:
```bash
# 1. Run storage migration script
python scripts/migrate_storage.py --dry-run # preview changes
# 2. Apply migration
python scripts/migrate_storage.py --apply
# 3. Verify integrity
python scripts/verify_storage.py
```
#### IAM Policy Updates
If IAM action names change (e.g., `s3:Get``s3:GetObject`):
```bash
# Migration script will update all policies
python scripts/migrate_policies.py \
--input data/.myfsio.sys/config/iam.json \
--backup data/.myfsio.sys/config/iam.json.v1
# Review changes before committing
python scripts/diff_policies.py \
data/.myfsio.sys/config/iam.json.v1 \
data/.myfsio.sys/config/iam.json
```
### Rollback Procedures
If an update causes issues, rollback to the previous version:
#### Quick Rollback (Source)
```bash
# 1. Stop application
# Ctrl+C or kill process
# 2. Revert code
git checkout <previous-version-tag>
# OR
git reset --hard HEAD~1
# 3. Restore configs from backup
cp backups/20241213_103000/config/* data/.myfsio.sys/config/
# 4. Downgrade dependencies if needed
pip install -r requirements.txt
# 5. Restart
python run.py
```
#### Docker Rollback
```bash
# 1. Stop current container
docker stop myfsio
docker rm myfsio
# 2. Start previous version
docker run -d \
--name myfsio \
-p 5000:5000 -p 5100:5100 \
-v "$(pwd)/data:/app/data" \
-v "$(pwd)/logs:/app/logs" \
-e SECRET_KEY="your-secret" \
myfsio:0.1.3 # specify previous version tag
# 3. Verify
curl http://localhost:5000/myfsio/health
```
#### Emergency Config Restore
If only config is corrupted but code is fine:
```bash
# Stop app
# Restore from latest backup
cp backups/20241213_103000/config/iam.json data/.myfsio.sys/config/
cp backups/20241213_103000/config/bucket_policies.json data/.myfsio.sys/config/
# Restart app
python run.py
```
### Blue-Green Deployment (Zero Downtime)
For production environments requiring zero downtime:
```bash
# 1. Run new version on different port (e.g., 5001/5101)
APP_PORT=5001 UI_PORT=5101 python run.py &
# 2. Health check new instance
curl http://localhost:5001/myfsio/health
# 3. Update load balancer to route to new ports
# 4. Monitor for issues
# 5. Gracefully stop old instance
kill -SIGTERM <old-pid>
```
### Post-Update Verification
After any update, verify functionality:
```bash
# 1. Health check
curl http://localhost:5000/myfsio/health
# 2. Login to UI
open http://localhost:5100/ui
# 3. Test IAM authentication
curl -H "X-Amz-Security-Token: <your-access-key>:<your-secret>" \
http://localhost:5000/
# 4. Test presigned URL generation
# Via UI or API
# 5. Check logs for errors
tail -n 100 logs/myfsio.log
```
### Automated Update Scripts
Create a custom update script for your environment:
```bash
#!/bin/bash
# update.sh - Automated update with rollback capability
set -e # Exit on error
VERSION_NEW="$1"
BACKUP_DIR="backups/$(date +%Y%m%d_%H%M%S)"
echo "Creating backup..."
mkdir -p "$BACKUP_DIR"
cp -r data/.myfsio.sys/config "$BACKUP_DIR/"
echo "Updating to version $VERSION_NEW..."
git fetch origin
git checkout "v$VERSION_NEW"
pip install -r requirements.txt
echo "Starting application..."
python run.py &
APP_PID=$!
# Wait and health check
sleep 5
if curl -f http://localhost:5000/myfsio/health; then
echo "Update successful!"
else
echo "Health check failed, rolling back..."
kill $APP_PID
git checkout -
cp -r "$BACKUP_DIR/config/*" data/.myfsio.sys/config/
python run.py &
exit 1
fi
```
## 4. Authentication & IAM
MyFSIO implements a comprehensive Identity and Access Management (IAM) system that controls who can access your buckets and what operations they can perform. The system supports both simple action-based permissions and AWS-compatible policy syntax.
### Getting Started
1. On first boot, `data/.myfsio.sys/config/iam.json` is seeded with `localadmin / localadmin` that has wildcard access.
2. Sign into the UI using those credentials, then open **IAM**:
- **Create user**: supply a display name and optional JSON inline policy array.
- **Rotate secret**: generates a new secret key; the UI surfaces it once.
- **Policy editor**: select a user, paste an array of objects (`{"bucket": "*", "actions": ["list", "read"]}`), and submit. Alias support includes AWS-style verbs (e.g., `s3:GetObject`).
3. Wildcard action `iam:*` is supported for admin user definitions.
### Authentication
The API expects every request to include authentication headers. The UI persists them in the Flask session after login.
| Header | Description |
| --- | --- |
| `X-Access-Key` | The user's access key identifier |
| `X-Secret-Key` | The user's secret key for signing |
**Security Features:**
- **Lockout Protection**: After `AUTH_MAX_ATTEMPTS` (default: 5) failed login attempts, the account is locked for `AUTH_LOCKOUT_MINUTES` (default: 15 minutes).
- **Session Management**: UI sessions remain valid for `SESSION_LIFETIME_DAYS` (default: 30 days).
- **Hot Reload**: IAM configuration changes take effect immediately without restart.
### Permission Model
MyFSIO uses a two-layer permission model:
1. **IAM User Policies** Define what a user can do across the system (stored in `iam.json`)
2. **Bucket Policies** Define who can access a specific bucket (stored in `bucket_policies.json`)
Both layers are evaluated for each request. A user must have permission in their IAM policy AND the bucket policy must allow the action (or have no explicit deny).
### Available IAM Actions
#### S3 Actions (Bucket/Object Operations)
| Action | Description | AWS Aliases |
| --- | --- | --- |
| `list` | List buckets and objects | `s3:ListBucket`, `s3:ListAllMyBuckets`, `s3:ListBucketVersions`, `s3:ListMultipartUploads`, `s3:ListParts` |
| `read` | Download objects, get metadata | `s3:GetObject`, `s3:GetObjectVersion`, `s3:GetObjectTagging`, `s3:GetObjectVersionTagging`, `s3:GetObjectAcl`, `s3:GetBucketVersioning`, `s3:HeadObject`, `s3:HeadBucket` |
| `write` | Upload objects, create buckets, manage tags | `s3:PutObject`, `s3:CreateBucket`, `s3:PutObjectTagging`, `s3:PutBucketVersioning`, `s3:CreateMultipartUpload`, `s3:UploadPart`, `s3:CompleteMultipartUpload`, `s3:AbortMultipartUpload`, `s3:CopyObject` |
| `delete` | Remove objects, versions, and buckets | `s3:DeleteObject`, `s3:DeleteObjectVersion`, `s3:DeleteBucket`, `s3:DeleteObjectTagging` |
| `share` | Manage Access Control Lists (ACLs) | `s3:PutObjectAcl`, `s3:PutBucketAcl`, `s3:GetBucketAcl` |
| `policy` | Manage bucket policies | `s3:PutBucketPolicy`, `s3:GetBucketPolicy`, `s3:DeleteBucketPolicy` |
| `lifecycle` | Manage lifecycle rules | `s3:GetLifecycleConfiguration`, `s3:PutLifecycleConfiguration`, `s3:DeleteLifecycleConfiguration`, `s3:GetBucketLifecycle`, `s3:PutBucketLifecycle` |
| `cors` | Manage CORS configuration | `s3:GetBucketCors`, `s3:PutBucketCors`, `s3:DeleteBucketCors` |
| `replication` | Configure and manage replication | `s3:GetReplicationConfiguration`, `s3:PutReplicationConfiguration`, `s3:DeleteReplicationConfiguration`, `s3:ReplicateObject`, `s3:ReplicateTags`, `s3:ReplicateDelete` |
#### IAM Actions (User Management)
| Action | Description | AWS Aliases |
| --- | --- | --- |
| `iam:list_users` | View all IAM users and their policies | `iam:ListUsers` |
| `iam:create_user` | Create new IAM users | `iam:CreateUser` |
| `iam:delete_user` | Delete IAM users | `iam:DeleteUser` |
| `iam:rotate_key` | Rotate user secret keys | `iam:RotateAccessKey` |
| `iam:update_policy` | Modify user policies | `iam:PutUserPolicy` |
| `iam:*` | **Admin wildcard** grants all IAM actions | — |
#### Wildcards
| Wildcard | Scope | Description |
| --- | --- | --- |
| `*` (in actions) | All S3 actions | Grants `list`, `read`, `write`, `delete`, `share`, `policy`, `lifecycle`, `cors`, `replication` |
| `iam:*` | All IAM actions | Grants all `iam:*` actions for user management |
| `*` (in bucket) | All buckets | Policy applies to every bucket |
### IAM Policy Structure
User policies are stored as a JSON array of policy objects. Each object specifies a bucket and the allowed actions:
```json
[
{
"bucket": "<bucket-name-or-wildcard>",
"actions": ["<action1>", "<action2>", ...]
}
]
```
**Fields:**
- `bucket`: The bucket name (case-insensitive) or `*` for all buckets
- `actions`: Array of action strings (simple names or AWS aliases)
### Example User Policies
**Full Administrator (complete system access):**
```json
[{"bucket": "*", "actions": ["list", "read", "write", "delete", "share", "policy", "lifecycle", "cors", "replication", "iam:*"]}]
```
**Read-Only User (browse and download only):**
```json
[{"bucket": "*", "actions": ["list", "read"]}]
```
**Single Bucket Full Access (no access to other buckets):**
```json
[{"bucket": "user-bucket", "actions": ["list", "read", "write", "delete"]}]
```
**Multiple Bucket Access (different permissions per bucket):**
```json
[
{"bucket": "public-data", "actions": ["list", "read"]},
{"bucket": "my-uploads", "actions": ["list", "read", "write", "delete"]},
{"bucket": "team-shared", "actions": ["list", "read", "write"]}
]
```
**IAM Manager (manage users but no data access):**
```json
[{"bucket": "*", "actions": ["iam:list_users", "iam:create_user", "iam:delete_user", "iam:rotate_key", "iam:update_policy"]}]
```
**Replication Operator (manage replication only):**
```json
[{"bucket": "*", "actions": ["list", "read", "replication"]}]
```
**Lifecycle Manager (configure object expiration):**
```json
[{"bucket": "*", "actions": ["list", "lifecycle"]}]
```
**CORS Administrator (configure cross-origin access):**
```json
[{"bucket": "*", "actions": ["cors"]}]
```
**Bucket Administrator (full bucket config, no IAM access):**
```json
[{"bucket": "my-bucket", "actions": ["list", "read", "write", "delete", "policy", "lifecycle", "cors"]}]
```
**Upload-Only User (write but cannot read back):**
```json
[{"bucket": "drop-box", "actions": ["write"]}]
```
**Backup Operator (read, list, and replicate):**
```json
[{"bucket": "*", "actions": ["list", "read", "replication"]}]
```
### Using AWS-Style Action Names
You can use AWS S3 action names instead of simple names. They are automatically normalized:
```json
[
{
"bucket": "my-bucket",
"actions": [
"s3:ListBucket",
"s3:GetObject",
"s3:PutObject",
"s3:DeleteObject"
]
}
]
```
This is equivalent to:
```json
[{"bucket": "my-bucket", "actions": ["list", "read", "write", "delete"]}]
```
### Managing Users via API
```bash
# List all users (requires iam:list_users)
curl http://localhost:5000/iam/users \
-H "X-Access-Key: ..." -H "X-Secret-Key: ..."
# Create a new user (requires iam:create_user)
curl -X POST http://localhost:5000/iam/users \
-H "Content-Type: application/json" \
-H "X-Access-Key: ..." -H "X-Secret-Key: ..." \
-d '{
"display_name": "New User",
"policies": [{"bucket": "*", "actions": ["list", "read"]}]
}'
# Rotate user secret (requires iam:rotate_key)
curl -X POST http://localhost:5000/iam/users/<access-key>/rotate \
-H "X-Access-Key: ..." -H "X-Secret-Key: ..."
# Update user policies (requires iam:update_policy)
curl -X PUT http://localhost:5000/iam/users/<access-key>/policies \
-H "Content-Type: application/json" \
-H "X-Access-Key: ..." -H "X-Secret-Key: ..." \
-d '[{"bucket": "*", "actions": ["list", "read", "write"]}]'
# Delete a user (requires iam:delete_user)
curl -X DELETE http://localhost:5000/iam/users/<access-key> \
-H "X-Access-Key: ..." -H "X-Secret-Key: ..."
```
### Permission Precedence
When a request is made, permissions are evaluated in this order:
1. **Authentication** Verify the access key and secret key are valid
2. **Lockout Check** Ensure the account is not locked due to failed attempts
3. **IAM Policy Check** Verify the user has the required action for the target bucket
4. **Bucket Policy Check** If a bucket policy exists, verify it allows the action
A request is allowed only if:
- The IAM policy grants the action, AND
- The bucket policy allows the action (or no bucket policy exists)
### Common Permission Scenarios
| Scenario | Required Actions |
| --- | --- |
| Browse bucket contents | `list` |
| Download a file | `read` |
| Upload a file | `write` |
| Delete a file | `delete` |
| Generate presigned URL (GET) | `read` |
| Generate presigned URL (PUT) | `write` |
| Generate presigned URL (DELETE) | `delete` |
| Enable versioning | `write` (includes `s3:PutBucketVersioning`) |
| View bucket policy | `policy` |
| Modify bucket policy | `policy` |
| Configure lifecycle rules | `lifecycle` |
| View lifecycle rules | `lifecycle` |
| Configure CORS | `cors` |
| View CORS rules | `cors` |
| Configure replication | `replication` (admin-only for creation) |
| Pause/resume replication | `replication` |
| Manage other users | `iam:*` or specific `iam:` actions |
| Set bucket quotas | `iam:*` or `iam:list_users` (admin feature) |
### Security Best Practices
1. **Principle of Least Privilege** Grant only the permissions users need
2. **Avoid Wildcards** Use specific bucket names instead of `*` when possible
3. **Rotate Secrets Regularly** Use the rotate key feature periodically
4. **Separate Admin Accounts** Don't use admin accounts for daily operations
5. **Monitor Failed Logins** Check logs for repeated authentication failures
6. **Use Bucket Policies for Fine-Grained Control** Combine with IAM for defense in depth
## 5. Bucket Policies & Presets
- **Storage**: Policies are persisted in `data/.myfsio.sys/config/bucket_policies.json` under `{"policies": {"bucket": {...}}}`.
- **Hot reload**: Both API and UI call `maybe_reload()` before evaluating policies. Editing the JSON on disk is immediately reflected—no restarts required.
- **UI editor**: Each bucket detail page includes:
- A preset selector: **Private** detaches the policy (delete mode), **Public** injects an allow policy granting anonymous `s3:ListBucket` + `s3:GetObject`, and **Custom** restores your draft.
- A read-only preview of the attached policy.
- Autosave behavior for custom drafts while you type.
### Editing via CLI
```bash
curl -X PUT "http://127.0.0.1:5000/test?policy" \
-H "Content-Type: application/json" \
-H "X-Access-Key: ..." -H "X-Secret-Key: ..." \
-d '{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Principal": "*",
"Action": ["s3:ListBucket"],
"Resource": ["arn:aws:s3:::test"]
}
]
}'
```
The UI will reflect this change as soon as the request completes thanks to the hot reload.
### UI Object Browser
The bucket detail page includes a powerful object browser with the following features:
#### Folder Navigation
Objects with forward slashes (`/`) in their keys are displayed as a folder hierarchy. Click a folder row to navigate into it. A breadcrumb navigation bar shows your current path and allows quick navigation back to parent folders or the root.
#### Pagination & Infinite Scroll
- Objects load in configurable batches (50, 100, 150, 200, or 250 per page)
- Scroll to the bottom to automatically load more objects (infinite scroll)
- A **Load more** button is available as a fallback for touch devices or when infinite scroll doesn't trigger
- The footer shows the current load status (e.g., "Showing 100 of 500 objects")
#### Bulk Operations
- Select multiple objects using checkboxes
- **Bulk Delete**: Delete multiple objects at once
- **Bulk Download**: Download selected objects as individual files
#### Search & Filter
Use the search box to filter objects by name in real-time. The filter applies to the currently loaded objects.
#### Error Handling
If object loading fails (e.g., network error), a friendly error message is displayed with a **Retry** button to attempt loading again.
#### Object Preview
Click any object row to view its details in the preview sidebar:
- File size and last modified date
- ETag (content hash)
- Custom metadata (if present)
- Download and presign (share link) buttons
- Version history (when versioning is enabled)
#### Drag & Drop Upload
Drag files directly onto the objects table to upload them to the current bucket and folder path.
## 6. Presigned URLs
- Trigger from the UI using the **Presign** button after selecting an object.
- Supported methods: `GET`, `PUT`, `DELETE`; expiration must be `1..604800` seconds.
- The service signs requests using the caller's IAM credentials and enforces bucket policies both when issuing and when the presigned URL is used.
- Legacy share links have been removed; presigned URLs now handle both private and public workflows.
### Multipart Upload Example
```python
import boto3
s3 = boto3.client('s3', endpoint_url='http://localhost:5000')
# Initiate
response = s3.create_multipart_upload(Bucket='mybucket', Key='large.bin')
upload_id = response['UploadId']
# Upload parts
parts = []
chunks = [b'chunk1', b'chunk2'] # Example data chunks
for part_number, chunk in enumerate(chunks, start=1):
response = s3.upload_part(
Bucket='mybucket',
Key='large.bin',
PartNumber=part_number,
UploadId=upload_id,
Body=chunk
)
parts.append({'PartNumber': part_number, 'ETag': response['ETag']})
# Complete
s3.complete_multipart_upload(
Bucket='mybucket',
Key='large.bin',
UploadId=upload_id,
MultipartUpload={'Parts': parts}
)
```
## 7. Encryption
MyFSIO supports **server-side encryption at rest** to protect your data. When enabled, objects are encrypted using AES-256-GCM before being written to disk.
### Encryption Types
| Type | Description |
|------|-------------|
| **AES-256 (SSE-S3)** | Server-managed encryption using a local master key |
| **KMS (SSE-KMS)** | Encryption using customer-managed keys via the built-in KMS |
### Enabling Encryption
#### 1. Set Environment Variables
```powershell
# PowerShell
$env:ENCRYPTION_ENABLED = "true"
$env:KMS_ENABLED = "true" # Optional, for KMS key management
python run.py
```
```bash
# Bash
export ENCRYPTION_ENABLED=true
export KMS_ENABLED=true
python run.py
```
#### 2. Configure Bucket Default Encryption (UI)
1. Navigate to your bucket in the UI
2. Click the **Properties** tab
3. Find the **Default Encryption** card
4. Click **Enable Encryption**
5. Choose algorithm:
- **AES-256**: Uses the server's master key
- **aws:kms**: Uses a KMS-managed key (select from dropdown)
6. Save changes
Once enabled, all **new objects** uploaded to the bucket will be automatically encrypted.
### KMS Key Management
When `KMS_ENABLED=true`, you can manage encryption keys via the KMS API:
```bash
# Create a new KMS key
curl -X POST http://localhost:5000/kms/keys \
-H "Content-Type: application/json" \
-H "X-Access-Key: ..." -H "X-Secret-Key: ..." \
-d '{"alias": "my-key", "description": "Production encryption key"}'
# List all keys
curl http://localhost:5000/kms/keys \
-H "X-Access-Key: ..." -H "X-Secret-Key: ..."
# Get key details
curl http://localhost:5000/kms/keys/{key-id} \
-H "X-Access-Key: ..." -H "X-Secret-Key: ..."
# Rotate a key (creates new key material)
curl -X POST http://localhost:5000/kms/keys/{key-id}/rotate \
-H "X-Access-Key: ..." -H "X-Secret-Key: ..."
# Disable/Enable a key
curl -X POST http://localhost:5000/kms/keys/{key-id}/disable \
-H "X-Access-Key: ..." -H "X-Secret-Key: ..."
curl -X POST http://localhost:5000/kms/keys/{key-id}/enable \
-H "X-Access-Key: ..." -H "X-Secret-Key: ..."
# Schedule key deletion (30-day waiting period)
curl -X DELETE http://localhost:5000/kms/keys/{key-id}?waiting_period_days=30 \
-H "X-Access-Key: ..." -H "X-Secret-Key: ..."
```
### How It Works
1. **Envelope Encryption**: Each object is encrypted with a unique Data Encryption Key (DEK)
2. **Key Wrapping**: The DEK is encrypted (wrapped) by the master key or KMS key
3. **Storage**: The encrypted DEK is stored alongside the encrypted object
4. **Decryption**: On read, the DEK is unwrapped and used to decrypt the object
### Client-Side Encryption
For additional security, you can use client-side encryption. The `ClientEncryptionHelper` class provides utilities:
```python
from app.encryption import ClientEncryptionHelper
# Generate a client-side key
key = ClientEncryptionHelper.generate_key()
key_b64 = ClientEncryptionHelper.key_to_base64(key)
# Encrypt before upload
plaintext = b"sensitive data"
encrypted, metadata = ClientEncryptionHelper.encrypt_for_upload(plaintext, key)
# Upload with metadata headers
# x-amz-meta-x-amz-key: <wrapped-key>
# x-amz-meta-x-amz-iv: <iv>
# x-amz-meta-x-amz-matdesc: <material-description>
# Decrypt after download
decrypted = ClientEncryptionHelper.decrypt_from_download(encrypted, metadata, key)
```
### Important Notes
- **Existing objects are NOT encrypted** - Only new uploads after enabling encryption are encrypted
- **Master key security** - The master key file (`master.key`) should be backed up securely and protected
- **Key rotation** - Rotating a KMS key creates new key material; existing objects remain encrypted with the old material
- **Disabled keys** - Objects encrypted with a disabled key cannot be decrypted until the key is re-enabled
- **Deleted keys** - Once a key is deleted (after the waiting period), objects encrypted with it are permanently inaccessible
### Verifying Encryption
To verify an object is encrypted:
1. Check the raw file in `data/<bucket>/` - it should be unreadable binary
2. Look for `.meta` files containing encryption metadata
3. Download via the API/UI - the object should be automatically decrypted
## 8. Bucket Quotas
MyFSIO supports **storage quotas** to limit how much data a bucket can hold. Quotas are enforced on uploads and multipart completions.
### Quota Types
| Limit | Description |
|-------|-------------|
| **Max Size (MB)** | Maximum total storage in megabytes (includes current objects + archived versions) |
| **Max Objects** | Maximum number of objects (includes current objects + archived versions) |
### Managing Quotas (Admin Only)
Quota management is restricted to administrators (users with `iam:*` or `iam:list_users` permissions).
#### Via UI
1. Navigate to your bucket in the UI
2. Click the **Properties** tab
3. Find the **Storage Quota** card
4. Enter limits:
- **Max Size (MB)**: Leave empty for unlimited
- **Max Objects**: Leave empty for unlimited
5. Click **Update Quota**
To remove a quota, click **Remove Quota**.
#### Via API
```bash
# Set quota (max 100MB, max 1000 objects)
curl -X PUT "http://localhost:5000/bucket/<bucket>?quota" \
-H "Content-Type: application/json" \
-H "X-Access-Key: ..." -H "X-Secret-Key: ..." \
-d '{"max_bytes": 104857600, "max_objects": 1000}'
# Get current quota
curl "http://localhost:5000/bucket/<bucket>?quota" \
-H "X-Access-Key: ..." -H "X-Secret-Key: ..."
# Remove quota
curl -X PUT "http://localhost:5000/bucket/<bucket>?quota" \
-H "Content-Type: application/json" \
-H "X-Access-Key: ..." -H "X-Secret-Key: ..." \
-d '{"max_bytes": null, "max_objects": null}'
```
### Quota Behavior
- **Version Counting**: When versioning is enabled, archived versions count toward the quota
- **Enforcement Points**: Quotas are checked during `PUT` object and `CompleteMultipartUpload` operations
- **Error Response**: When quota is exceeded, the API returns `HTTP 400` with error code `QuotaExceeded`
- **Visibility**: All users can view quota usage in the bucket detail page, but only admins can modify quotas
### Example Error
```xml
<Error>
<Code>QuotaExceeded</Code>
<Message>Bucket quota exceeded: storage limit reached</Message>
<BucketName>my-bucket</BucketName>
</Error>
```
## 9. Operation Metrics
Operation metrics provide real-time visibility into API request statistics, including request counts, latency, error rates, and bandwidth usage.
### Enabling Operation Metrics
By default, operation metrics are disabled. Enable by setting the environment variable:
```bash
OPERATION_METRICS_ENABLED=true python run.py
```
Or in your `myfsio.env` file:
```
OPERATION_METRICS_ENABLED=true
OPERATION_METRICS_INTERVAL_MINUTES=5
OPERATION_METRICS_RETENTION_HOURS=24
```
### Configuration Options
| Variable | Default | Description |
|----------|---------|-------------|
| `OPERATION_METRICS_ENABLED` | `false` | Enable/disable operation metrics |
| `OPERATION_METRICS_INTERVAL_MINUTES` | `5` | Snapshot interval (minutes) |
| `OPERATION_METRICS_RETENTION_HOURS` | `24` | History retention period (hours) |
### What's Tracked
**Request Statistics:**
- Request counts by HTTP method (GET, PUT, POST, DELETE, HEAD, OPTIONS)
- Response status codes grouped by class (2xx, 3xx, 4xx, 5xx)
- Latency statistics (min, max, average)
- Bytes transferred in/out
**Endpoint Breakdown:**
- `object` - Object operations (GET/PUT/DELETE objects)
- `bucket` - Bucket operations (list, create, delete buckets)
- `ui` - Web UI requests
- `service` - Health checks, internal endpoints
- `kms` - KMS API operations
**S3 Error Codes:**
Tracks API-specific error codes like `NoSuchKey`, `AccessDenied`, `BucketNotFound`. Note: These are separate from HTTP status codes - a 404 from the UI won't appear here, only S3 API errors.
### API Endpoints
```bash
# Get current operation metrics
curl http://localhost:5100/ui/metrics/operations \
-H "X-Access-Key: ..." -H "X-Secret-Key: ..."
# Get operation metrics history
curl http://localhost:5100/ui/metrics/operations/history \
-H "X-Access-Key: ..." -H "X-Secret-Key: ..."
# Filter history by time range
curl "http://localhost:5100/ui/metrics/operations/history?hours=6" \
-H "X-Access-Key: ..." -H "X-Secret-Key: ..."
```
### Storage Location
Operation metrics data is stored at:
```
data/.myfsio.sys/config/operation_metrics.json
```
### UI Dashboard
When enabled, the Metrics page (`/ui/metrics`) shows an "API Operations" section with:
- Summary cards: Requests, Success Rate, Errors, Latency, Bytes In, Bytes Out
- Charts: Requests by Method (doughnut), Requests by Status (bar), Requests by Endpoint (horizontal bar)
- S3 Error Codes table with distribution
Data refreshes every 5 seconds.
## 10. Site Replication
### Permission Model
Replication uses a two-tier permission system:
| Role | Capabilities |
|------|--------------|
| **Admin** (users with `iam:*` permissions) | Create/delete replication rules, configure connections and target buckets |
| **Users** (with `replication` permission) | Enable/disable (pause/resume) existing replication rules |
> **Note:** The Replication tab is hidden for users without the `replication` permission on the bucket.
This separation allows administrators to pre-configure where data should replicate, while allowing authorized users to toggle replication on/off without accessing connection credentials.
### Architecture
- **Source Instance**: The MyFSIO instance where you upload files. It runs the replication worker.
- **Target Instance**: Another MyFSIO instance (or any S3-compatible service like AWS S3, MinIO) that receives the copies.
Replication is **asynchronous** (happens in the background) and **one-way** (Source -> Target).
### Setup Guide
#### 1. Prepare the Target Instance
If your target is another MyFSIO server (e.g., running on a different machine or port), you need to create a destination bucket and a user with write permissions.
**Option A: Using the UI (Easiest)**
If you have access to the UI of the target instance:
1. Log in to the Target UI.
2. Create a new bucket (e.g., `backup-bucket`).
3. Go to **IAM**, create a new user (e.g., `replication-user`), and copy the Access/Secret keys.
**Option B: Headless Setup (API Only)**
If the target server is only running the API (`run_api.py`) and has no UI access, you can bootstrap the credentials and bucket by running a Python script on the server itself.
Run this script on the **Target Server**:
```python
# setup_target.py
from pathlib import Path
from app.iam import IamService
from app.storage import ObjectStorage
# Initialize services (paths match default config)
data_dir = Path("data")
iam = IamService(data_dir / ".myfsio.sys" / "config" / "iam.json")
storage = ObjectStorage(data_dir)
# 1. Create the bucket
bucket_name = "backup-bucket"
try:
storage.create_bucket(bucket_name)
print(f"Bucket '{bucket_name}' created.")
except Exception as e:
print(f"Bucket creation skipped: {e}")
# 2. Create the user
try:
# Create user with full access (or restrict policy as needed)
creds = iam.create_user(
display_name="Replication User",
policies=[{"bucket": bucket_name, "actions": ["write", "read", "list"]}]
)
print("\n--- CREDENTIALS GENERATED ---")
print(f"Access Key: {creds['access_key']}")
print(f"Secret Key: {creds['secret_key']}")
print("-----------------------------")
except Exception as e:
print(f"User creation failed: {e}")
```
Save and run: `python setup_target.py`
#### 2. Configure the Source Instance
Now, configure the primary instance to replicate to the target.
1. **Access the Console**:
Log in to the UI of your Source Instance.
2. **Add a Connection**:
- Navigate to **Connections** in the top menu.
- Click **Add Connection**.
- **Name**: `Secondary Site`.
- **Endpoint URL**: The URL of your Target Instance's API (e.g., `http://target-server:5002`).
- **Access Key**: The key you generated on the Target.
- **Secret Key**: The secret you generated on the Target.
- Click **Add Connection**.
3. **Enable Replication** (Admin):
- Navigate to **Buckets** and select the source bucket.
- Switch to the **Replication** tab.
- Select the `Secondary Site` connection.
- Enter the target bucket name (`backup-bucket`).
- Click **Enable Replication**.
Once configured, users with `replication` permission on this bucket can pause/resume replication without needing access to connection details.
### Verification
1. Upload a file to the source bucket.
2. Check the target bucket (via UI, CLI, or API). The file should appear shortly.
```bash
# Verify on target using AWS CLI
aws --endpoint-url http://target-server:5002 s3 ls s3://backup-bucket
```
### Pausing and Resuming Replication
Users with the `replication` permission (but not admin rights) can pause and resume existing replication rules:
1. Navigate to the bucket's **Replication** tab.
2. If replication is **Active**, click **Pause Replication** to temporarily stop syncing.
3. If replication is **Paused**, click **Resume Replication** to continue syncing.
When paused, new objects uploaded to the source will not replicate until replication is resumed. Objects uploaded while paused will be replicated once resumed.
> **Note:** Only admins can create new replication rules, change the target connection/bucket, or delete rules entirely.
### Bidirectional Replication (Active-Active)
To set up two-way replication (Server A ↔ Server B):
1. Follow the steps above to replicate **A → B**.
2. Repeat the process on Server B to replicate **B → A**:
- Create a connection on Server B pointing to Server A.
- Enable replication on the target bucket on Server B.
**Loop Prevention**: The system automatically detects replication traffic using a custom User-Agent (`S3ReplicationAgent`). This prevents infinite loops where an object replicated from A to B is immediately replicated back to A.
**Deletes**: Deleting an object on one server will propagate the deletion to the other server.
**Note**: Deleting a bucket will automatically remove its associated replication configuration.
## 12. Running Tests
```bash
pytest -q
```
The suite now includes a boto3 integration test that spins up a live HTTP server and drives the API through the official AWS SDK. If you want to skip it (for faster unit-only loops), run `pytest -m "not integration"`.
The suite covers bucket CRUD, presigned downloads, bucket policy enforcement, and regression tests for anonymous reads when a Public policy is attached.
## 13. Troubleshooting
| Symptom | Likely Cause | Fix |
| --- | --- | --- |
| 403 from API despite Public preset | Policy didnt save or bucket key path mismatch | Reapply Public preset, confirm bucket name in `Resource` matches `arn:aws:s3:::bucket/*`. |
| UI still shows old policy text | Browser cached view before hot reload | Refresh; JSON is already reloaded on server. |
| Presign modal errors with 403 | IAM user lacks `read/write/delete` for target bucket or bucket policy denies | Update IAM inline policies or remove conflicting deny statements. |
| Large upload rejected immediately | File exceeds `MAX_UPLOAD_SIZE` | Increase env var or shrink object. |
## 14. API Matrix
```
GET / # List buckets
PUT /<bucket> # Create bucket
DELETE /<bucket> # Remove bucket
GET /<bucket> # List objects
PUT /<bucket>/<key> # Upload object
GET /<bucket>/<key> # Download object
DELETE /<bucket>/<key> # Delete object
GET /<bucket>?policy # Fetch policy
PUT /<bucket>?policy # Upsert policy
DELETE /<bucket>?policy # Delete policy
GET /<bucket>?quota # Get bucket quota
PUT /<bucket>?quota # Set bucket quota (admin only)
```