Skip to main content

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)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fastcaddy-0.0.1.tar.gz (12.1 kB view details)

Uploaded Source

Built Distribution

fastcaddy-0.0.1-py3-none-any.whl (10.8 kB view details)

Uploaded Python 3

File details

Details for the file fastcaddy-0.0.1.tar.gz.

File metadata

  • Download URL: fastcaddy-0.0.1.tar.gz
  • Upload date:
  • Size: 12.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for fastcaddy-0.0.1.tar.gz
Algorithm Hash digest
SHA256 6871be79ef9c194a03f80f25cba32c0de5249f54f543be7d16e9261ab120bbb3
MD5 0c6b096dc88fa6dc0e309f457036bd19
BLAKE2b-256 d6d1c126e6466cdb572326899447e3488a772d69deaa14e4c2c9ad2022a69475

See more details on using hashes here.

File details

Details for the file fastcaddy-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: fastcaddy-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 10.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for fastcaddy-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 07bb1010966675c17ea8ca68082138adfe3c0e3fdf24b3e2d407f615633b8008
MD5 a3107228295e4031f03d2f77d84c1600
BLAKE2b-256 3de2505fa5ad9ef819d0766979fe67b4624915dc2b4728f43fe461269327b704

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page