Docs: Modernize main README, archive legacy/deprecated guides, and mark completed security/project docs (March 2026 review)

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Scott Idem
2026-03-18 16:16:20 -04:00
parent 74ad69bc63
commit 356f4b8efc
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# DEPRECATED: Manual Server Deployment Guide (Non-Docker)
> **Notice (March 2026):**
> This manual deployment guide is deprecated. The standard and supported method for deploying the Aether API is now via Docker Compose, as described in the main README and the `aether_container_env` documentation. Use this guide only for legacy or advanced manual setups.
# Manual Server Deployment Guide (Non-Docker)
This guide describes the manual process for deploying the Aether API on a Linux server using Nginx, Gunicorn, and Systemd.
## 1. Initial Server Setup
### Clone the Repository
```bash
sudo git clone https://scott_idem@bitbucket.org/oneskyit/one-sky-it-api-fastapi.git /srv/http/dev_fastapi.oneskyit.com
```
### Configure Permissions
```bash
sudo mkdir admin/log
sudo chown http:http -R /srv/http/dev_fastapi.oneskyit.com/
sudo chmod 775 -R /srv/http/dev_fastapi.oneskyit.com/
```
### Environment Preparation
```bash
cd /srv/http/dev_fastapi.oneskyit.com/
git switch development
virtualenv environment
source environment/bin/activate
pip install -U -r admin/requirements.txt
```
## 2. Gunicorn Configuration (Systemd)
### Socket Configuration (`/etc/systemd/system/gunicorn.socket`)
```ini
[Unit]
Description=gunicorn socket
[Socket]
ListenStream=/run/gunicorn.sock
User=http
[Install]
WantedBy=sockets.target
```
### Service Configuration (`/etc/systemd/system/gunicorn.service`)
```ini
[Unit]
Description=gunicorn daemon
Requires=gunicorn.socket
After=network.target
[Service]
Type=notify
User=root
Group=root
RuntimeDirectory=gunicorn
WorkingDirectory=/srv/http/dev_fastapi.oneskyit.com
Environment="PATH=/srv/http/dev_fastapi.oneskyit.com/environment/bin"
ExecStart=/srv/http/dev_fastapi.oneskyit.com/environment/bin/gunicorn \
--bind unix:/srv/http/dev_fastapi.oneskyit.com/gunicorn.sock \
-m 007 app.main:app \
--workers 4 \
-k uvicorn.workers.UvicornWorker \
--access-logfile admin/log/access.log \
--error-logfile admin/log/error.log \
--capture-output --keep-alive 5
ExecReload=/bin/kill -s HUP $MAINPID
KillMode=mixed
TimeoutStopSec=5
PrivateTmp=true
[Install]
WantedBy=multi-user.target
```
### Activation
```bash
sudo systemctl daemon-reload
sudo systemctl enable gunicorn.socket
sudo systemctl start gunicorn.socket
```
## 3. Nginx Configuration
Create a site configuration file at `/etc/nginx/sites-available/dev_fastapi.oneskyit.com`:
```nginx
server {
access_log /var/log/nginx/access_dev_fastapi.oneskyit.com.log;
listen 443 ssl;
listen [::]:443 ssl http2;
server_name dev-fastapi.oneskyit.com;
ssl_certificate /etc/letsencrypt/live/oneskyit.com-0001/fullchain.pem;
ssl_certificate_key /etc/letsencrypt/live/oneskyit.com-0001/privkey.pem;
client_max_body_size 4096M;
location / {
proxy_set_header Host $http_host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_redirect off;
proxy_buffering off;
proxy_pass http://unix:/run/gunicorn.sock;
}
# WebSocket Support
location ~ ^/(ws|ws_redis) {
proxy_set_header Host $http_host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_http_version 1.1;
proxy_redirect off;
proxy_buffering off;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "upgrade";
proxy_pass http://unix:/run/gunicorn.sock;
}
}
server {
listen 80;
listen [::]:80;
server_name dev-fastapi.oneskyit.com;
return 301 https://$host$request_uri;
}
```
Enable and restart Nginx:
```bash
sudo ln -s /etc/nginx/sites-available/dev_fastapi.oneskyit.com /etc/nginx/sites-enabled/
sudo systemctl restart nginx.service
```
## 4. Troubleshooting
```bash
# Check status
sudo systemctl status gunicorn.socket
sudo systemctl status gunicorn.service
sudo systemctl status nginx.service
# List active units
systemctl list-units --type=service --state=running
```

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# Project: API Security Hardening (V3)
**Status:** Complete / Archived (Reviewed March 18, 2026)
**Date:** Jan 18, 2026
**Owner:** Scott / Aether API Team
> This plan was fully implemented and reviewed on March 18, 2026. All critical and high vulnerabilities described have been addressed in the current codebase. See dependencies in `app/routers/dependencies_v3.py` and JWT logic in `app/lib_jwt.py` for details.
## 1. Executive Summary
This project aims to close a critical security vulnerability in the Aether API V3 dependencies where the `x_no_account_id` header allows unauthorized "Superuser/Bypass" access without validation. Additionally, it addresses the lack of cryptographic verification for JWTs in the V3 CRUD layer.
## 2. The Vulnerabilities
### A. The "Bypass Header" (Critical)
* **Issue:** The `get_account_context_optional` dependency in `app/routers/dependencies_v3.py` accepts a header `x_no_account_id`. If present, it sets `auth_method = 'bypass'` and grants full administrative privileges (`super=True`).
* **Note:** This header may be sent as `x_no_account_id` or `x-no-account-id`. FastAPI's `Header` logic should handle the conversion, but validation must be explicit.
* **Current State:** There is **no** validation of this header. Sending `x_no_account_id: anything` works.
* **Risk:** Total system compromise via simple header injection.
### B. JWT Verification (High)
* **Issue:** The system validates users by looking up the `x_account_id` string in the database (Redis/MariaDB).
* **Current State:** It does **not** cryptographically verify the JWT signature or expiration in the V3 dependency chain.
* **Risk:** Account impersonation if an Account ID is leaked.
## 3. Implementation Plan
### Phase 1: Secure the Bypass Header (Immediate)
**Goal:** Restrict "Bypass Mode" to clients possessing a valid, active API Key.
1. **Refactor Dependencies:**
* Update `get_account_context_optional` to accept `x_aether_api_key`.
* **Logic Change:** If `x_no_account_id` header is detected:
* **Require** `x_aether_api_key`.
* **Lookup** key in `api_key` table.
* **Verify** `enable = 1` and `now()` is between `enable_from` and `enable_to`.
* **Failure Behavior:** If key is invalid/missing, log warning and deny 'bypass' status (fall back to 'guest').
2. **Verification:**
* Test `curl` with header only -> Expect 403/Forbidden.
* Test `curl` with header + valid Key -> Expect 200/OK.
* Test Frontend File Download (uses `x_no_account_id_token` param) -> Expect 200/OK (No regression).
### Phase 2: JWT Verification (Subsequent)
**Goal:** Replace DB-lookup auth with cryptographic JWT validation.
1. **Audit:** Confirm `app/lib_jwt.py` logic is sound.
2. **Middleware/Dependency:** Integrate `decode_jwt` into the `get_account_context` flow.
3. **Transition:** Allow dual-mode (DB lookup OR JWT) for a transition period if necessary, or cut over if frontend sends valid JWTs.
## 4. Impact Analysis
* **Frontend (SvelteKit):**
* Audit confirmed no usage of `x_no_account_id` **header** in active source code.
* Usage of `x_no_account_id_token` (Query Param) is **safe** and distinct from the header logic.
* **Scripts/External Tools:**
* Any external scripts using the "Bypass" header must be updated to send a valid API Key.
## 5. Action Items
- [x] Create `PROJECT_SECURITY_HARDENING.md` (This document).
- [x] Refactor `app/routers/dependencies_v3.py`.
- [x] Verify fix with `curl` tests.
- [x] Commit changes.

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# Project: Aether API WebSockets V3
## 1. Overview
The goal of WebSockets V3 is to provide a high-performance, scalable, and standardized real-time communication layer for the Aether Platform. This version focuses on efficient message routing using Redis granular Pub/Sub, integration with the **Vision ID** (string-based) pattern, and strict data validation via Pydantic.
The primary use case is **Group Coordination**: allowing a "controller" client to send commands or messages to one or more "worker" clients within the same group.
## 2. Analysis of Previous Versions
### V1: `websockets.py` (Memory-Based)
* **Mechanism**: Maintained a list of `WebSocket` objects in a Python list (`active_connections`).
* **Limitation**: Did not scale across multiple Docker containers. Clients on instance A could not communicate with clients on instance B.
* **Feature**: Basic support for `direct`, `group`, and `broadcast`.
### V2: `websockets_redis.py` (Global Pub/Sub)
* **Mechanism**: Uses `redis.asyncio` to publish all messages to a single `channel:ws`.
* **Limitation**: **"Noisy Neighbor" Problem**. Every API instance receives *every* message sent across the entire platform and must filter them in Python code (`if data.get('target') == 'group'`). This wastes CPU and network bandwidth at scale.
* **Feature**: Solved multi-instance connectivity.
## 3. V3 Architecture: Granular Pub/Sub
### Granular Redis Channels
V3 will move filtering from Python to Redis by using specific channel names. A client will subscribe only to the channels relevant to them:
1. **Client Channel**: `ws:client:{client_id_random}` (For Direct Messages)
2. **Group Channel**: `ws:group:{group_id_random}` (For Group Messages)
3. **Global Channel**: `ws:broadcast` (For System-wide Messages)
### Vision ID Integration
* All IDs in the WebSocket path and payload will be string-based `id_random` values.
* Path format: `/v3/ws/group/{group_id_random}/client/{client_id_random}`
### Standardized Message Schema
All V3 messages will follow a strict Pydantic model to ensure consistency between different device types.
```python
class WS_Message_V3(BaseModel):
version: str = "3"
msg_type: str # 'msg', 'cmd', 'heartbeat', 'presence'
target: str # 'direct', 'group', 'broadcast', 'echo'
from_id: str # client_id_random
to_id: Optional[str] # target client_id_random (for direct)
group_id: Optional[str] # target group_id_random (for group)
cmd: Optional[str] # Specific command string
msg: Optional[str] # Human-readable message
payload: Dict[str, Any] # Flexible JSON data
sent_at: datetime
```
## 4. Backend Implementation Plan
### Phase 1: Library Layer (`app/lib_websockets_v3.py`)
* Define the `WS_Message_V3` model.
* Implement `WS_Manager_V3` to handle Redis connections and channel string generation.
* Add presence tracking using Redis Sets (`SADD` on connect, `SREM` on disconnect).
### Phase 2: Router Layer (`app/routers/websockets_v3.py`)
* Implement the `/v3/ws/...` endpoint.
* **Receiver Loop**: Receives JSON from client -> Validates -> Publishes to correct Redis channel.
* **Sender Loop**: Listens to multiple Redis channels -> Forwards messages to the client.
### Phase 3: Integration
* Register the router in `app/routers/registry.py`.
* Ensure legacy endpoints (`/ws/group/...`) remain functional in `websockets_redis.py`.
## 5. Frontend Integration & Changes
The frontend will need several updates to support the V3 protocol:
1. **Connection URL**: Update connection logic to use the `/v3/` prefix.
* *Old*: `ws://api.domain.com/ws/group/{id}/client/{id}`
* *New*: `ws://api.domain.com/v3/ws/group/{id}/client/{id}`
2. **Payload Wrapping**: All outgoing messages must be wrapped in the `WS_Message_V3` structure.
* Instead of sending raw text or simple JSON, send the structured object.
3. **Targeting Logic**:
* To send to the group, set `target: "group"`.
* To send to one specific device, set `target: "direct"` and provide `to_id`.
4. **Heartbeats**: The frontend should ideally send a `msg_type: "heartbeat"` every 30-60 seconds to keep the connection alive and update presence in Redis.
5. **Response Handling**: Incoming messages will now have a consistent shape, making it easier to route data to internal app state or components.
## 6. Security & Safety
* **API Key Verification**: WebSocket handshakes should optionally verify the `X-Aether-API-Key` during the upgrade request.
* **Isolation**: V3 will use its own Redis database or a strict prefixing strategy to ensure messages never bleed into legacy channels.
* **Error Handling**: Standardize the close codes (e.g., 4000 for invalid message schema).
## 7. Verification Plan
* Create `tests/e2e/test_e2e_v3_websockets.py`.
* Use `websockets` python library to simulate multiple concurrent clients.
* Test cross-instance communication (if possible in the test environment).