A simple python wrapper for using the Caddy API
Project description
fastcaddy
Usage
Installation
Install from pypi
$ pip install fastcaddy
Installing Caddy
from fastcore.utils import *
This project is to help you use the caddy API, rather than a Caddyfile, to use caddy. To use the API, you need to install a plugin for your domain management service. We use Cloudflare, so we’ll document that here. For other domain services, see the Caddy docs for other plugins.
Cloudflare setup
You’ll need a token from Cloudflare with access to modify the necessary settings. Here’s the steps to create a token with the minimal privileges. You’ll need to install the cloudflare pip package, then import:
from cloudflare import Cloudflare
Then you’ll need create a Cloudflare API token for your user, which we’ll then use to create the less privileged token.
cf_token = os.environ['CLOUDFLARE_API_TOKEN']
We can now check that works OK:
cf = Cloudflare(api_token=cf_token)
zones = cf.zones.list()
len(zones.result)
8
Replace this with your domain name:
domain = 'answer.ai'
zones = cf.zones.list(name=domain)
assert len(zones.result)==1
zone_id = zones.result[0].id
Here’s the methods available for modifying DNS records:
client.dns.records.create(*, zone_id, **params) -> Optional
client.dns.records.update(dns_record_id, *, zone_id, **params) -> Optional
client.dns.records.list(*, zone_id, **params) -> SyncV4PagePaginationArray[Record]
client.dns.records.delete(dns_record_id, *, zone_id) -> Optional
client.dns.records.edit(dns_record_id, *, zone_id, **params) -> Optional
client.dns.records.export(*, zone_id) -> str
client.dns.records.get(dns_record_id, *, zone_id) -> Optional
client.dns.records.import\_(*, zone_id, **params) -> Optional
client.dns.records.scan(*, zone_id, **params) -> Optional
…and here’s the methods for tokens:
from cloudflare.types.user import (CIDRList, Policy, Token, TokenCreateResponse, TokenUpdateResponse, TokenListResponse,
TokenDeleteResponse, TokenGetResponse, TokenVerifyResponse)
client.user.tokens.create(**params) -> Optional
client.user.tokens.update(token_id, **params) -> object
client.user.tokens.list(**params) -> SyncV4PagePaginationArray[object]
client.user.tokens.delete(token_id) -> Optional
client.user.tokens.get(token_id) -> object
client.user.tokens.verify() -> Optional
from cloudflare.types.user.tokens import PermissionGroupListResponse
- client.user.tokens.permission_groups.list() -> SyncSinglePage[object]
from cloudflare.types.user.tokens import Value
- client.user.tokens.value.update(token_id, **params) -> str
We need these two permissions in our token:
permission_groups = cf.user.tokens.permission_groups.list()
dns_write = next(group for group in permission_groups if group['name'] == 'DNS Write')
zone_read = next(group for group in permission_groups if group['name'] == 'Zone Read')
Now we can create it:
new_token = cf.user.tokens.create(
name='caddy_dns',
policies=[{
"effect": "allow",
"resources": { f"com.cloudflare.api.account.zone.{zone_id}": "*" },
"permission_groups": [
{"id": zone_read['id'], "name": "Zone Read"},
{"id": dns_write['id'], "name": "DNS Write"}
]
}]
)
print(new_token.value)
Make a copy of this value, which we’ll need for setting up caddy.
Installing caddy
To install caddy, we’ll use a tool called xcaddy
. This is written in
go. So first install go:
- Mac:
brew install go
- Linux:
sudo apt install golang
Now we can install xcaddy:
go install github.com/caddyserver/xcaddy/cmd/xcaddy@latest
Then we use that to compile caddy with our desired domain plugin (cloudflare, in this case):
cd ~/go/bin
./xcaddy build --with github.com/caddy-dns/cloudflare
This gives us a ~/go/bin/caddy
binary we can run:
./caddy version
./caddy run
Securely run caddy on start
If you’re using a server or running caddy a lot, you’ll want it to run
on start. And if you’re making it publicly accessible, you’ll want it to
be secure. This isn’t needed otherwise – you can just
~/go/bin/caddy run
to run it manually (you may want to add ~/go/bin
to your PATH
env var).
To set this up, run from this repo root:
./setup_service.sh
If all went well, you should see output like this:
● caddy.service - Caddy
Loaded: loaded (/etc/systemd/system/caddy.service; enabled; preset: enabled)
Active: active (running) since Sat 2024-11-09 05:06:47 UTC; 2 days ago
Docs: https://caddyserver.com/docs/
Main PID: 138140 (caddy)
Tasks: 29 (limit: 154166)
Memory: 19.3M (peak: 28.8M)
CPU: 3min 37.216s
CGroup: /system.slice/caddy.service
└─138140 /usr/bin/caddy run --environ
How to use
We will now show how to set up caddy as a reverse proxy for hosts added dynamically. We’ll grab our token from the previous step (assuming here that it’s stored in an env var:
cf_token = os.environ.get('CADDY_CF_TOKEN', 'XXX')
We can now setup the basic routes needed for caddy:
setup_caddy(cf_token)
To view the configuration created, use
gcfg
:
gcfg()
{ 'apps': { 'http': { 'servers': { 'srv0': { 'listen': [':80', ':443'],
'routes': []}}},
'tls': { 'automation': { 'policies': [{'issuers': [{'challenges': {'dns': {'provider': {'api_token': 'XXX', 'name': 'cloudflare'}}}, 'module': 'acme'}]}]}}}}
You can also view a sub-path of the configuration:
gcfg('/apps/http/servers')
{'srv0': {'listen': [':80', ':443'], 'routes': []}}
To add a reverse proxy, use
add_reverse_proxy
:
host = 'jph.answer.ai'
add_reverse_proxy(host, 'localhost:5001')
This is automatically added with an id matching the host, which you can
view with
gid
:
gid('jph.answer.ai')
{ '@id': 'jph.answer.ai',
'handle': [{'handler': 'reverse_proxy', 'upstreams': [{'dial': 'localhost:5001'}]}],
'match': [{'host': ['jph.answer.ai']}],
'terminal': True}
If you call this again with the same host, it will be replaced:
add_reverse_proxy(host, 'localhost:8000')
gid('jph.answer.ai').handle[0]
{'handler': 'reverse_proxy', 'upstreams': [{'dial': 'localhost:8000'}]}
To remove a host, delete its id:
del_id(host)
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