System Overview

Service for signing various text files using PGP

Signing Backends

The service supports two signing backends:

GPG (default): Uses local GnuPG for signing operations
AWS KMS: Uses AWS Key Management Service with PGP-compatible signature output

Installation

Prerequisites

Python 3.9+
For GPG backend: GnuPG binary and at least one private RSA key
For KMS backend: AWS credentials and KMS asymmetric signing keys

Install service

Create virtual enviroment
```
python3 -m venv .venv
```
Activate virtualenv
```
source .venv/bin/activate
```

Install service with pip

# For GPG backend only
(.venv) pip3 install .

# For AWS KMS backend (includes boto3, PGPy13, PyYAML)
(.venv) pip3 install ".[kms]"

Service configuration

Put in root dir .env file with service configuration parameters EXAMPLE

# SF_GPG_BINARY - path to gpg binary
# default /usr/bin/gpg2
SF_GPG_BINARY="/usr/bin/gpg2"

# SF_KEYRING - path to keyring kbx file
# default ~/.gnupg/pubring.kbx
SF_KEYRING="~/.gnupg/pubring.kbx"

# SF_MAX_UPLOAD_BYTES - max file size (in bytes )to sign
# default 100000000
SF_MAX_UPLOAD_BYTES=100000000

# SF_PASS_DB_DEV_PASS
# password for PGP private key (DO NOT USE IT IN PROD)
# default ""
SF_PASS_DB_DEV_PASS="secret2"

# SF_PASS_DB_DEV_MODE - if True PGP key password
# will be retrived from SF_PASS_DB_DEV_PASS 
# instead of asking for it interactevly
# default False
SF_PASS_DB_DEV_MODE=False

# SF_TMP_FILE_DIR - directory in wich temporaty files will be created
# default /tmp
SF_TMP_FILE_DIR ="/tmp"

# SF_PGP_KEYS_ID - list of PGP key ids that will be used for file signing
# default N/A
SF_PGP_KEYS_ID=["AAAA1111BBBB2222", "CCCC3333DDDD4444"]

# SF_JWT_EXPIRE_MINUTES - JWT token lifetime (in minutes)
# default 30
SF_JWT_EXPIRE_MINUTES=30

# SF_JWT_ALGORITHM - hashing algoritm used for JWT token creation
# defaul HS256
SF_JWT_ALGORITHM="HS256"

# SF_JWT_SECRET_KEY - secret key for JWT token signing (must be secret)
# default N/A
SF_JWT_SECRET_KEY="access-secret"

# SF_DB_URL - database url
# default sqlite:///./sign-file.sqlite3
# For SQLite (default):
SF_DB_URL="sqlite:///./sign-file.sqlite3"
# For PostgreSQL:
# SF_DB_URL="postgresql://signfile:signfile@localhost:5432/signfile"
# For PostgreSQL in docker-compose:
# SF_DB_URL="postgresql://signfile:signfile@postgres:5432/signfile"

# PostgreSQL Connection Pool Settings (optional, only for PostgreSQL)
# SF_DB_POOL_SIZE - number of connections to keep in the pool (default: 5)
# SF_DB_POOL_SIZE=5
# SF_DB_MAX_OVERFLOW - max connections beyond pool_size (default: 10)
# SF_DB_MAX_OVERFLOW=10
# SF_DB_POOL_RECYCLE - recycle connections after N seconds (default: 3600)
# SF_DB_POOL_RECYCLE=3600
# SF_DB_POOL_PRE_PING - verify connections before use (default: true)
# SF_DB_POOL_PRE_PING=true
# SF_DB_ECHO - enable SQL query logging for debugging (default: false)
# SF_DB_ECHO=false

# SF_HOST_GNUPG -  path of .gnupg directory on host
# this variable only used in docker-compose file
# default ""
SF_HOST_GNUPG="~/.gnupg"

# SF_ROOT_URL root URL for API calls
# default ""
# NOTE:
# You need to specify this parameter only if
# you`re planning to deploy service behind the proxy
# (see below)
SF_ROOT_URL=""

# The service that will use sign-file
# default "albs-sign-service"
TARGET_SERVICE="albs-sign-service"

# Sentry related vars
# SF_SENTRY_DSN to send server data to Sentry
SF_SENTRY_DSN = ""
# SF_SENTRY_TRACES_SAMPLE_RATE to specify percent of captured transactions for tracing (from 0.0 to 1.0)
SENTRY_TRACES_SAMPLE_RATE = 0.2
# SF_SENTRY_ENV for filtering purposes
SENTRY_ENV = "dev"

YAML Configuration (Recommended)

For complex configurations, especially with AWS KMS, use a YAML config file. Set the config file path via environment variable:

export SF_CONFIG_FILE=/etc/sign-file/config.yaml

Example config.yaml:

# Signing backend: 'gpg' or 'kms'
signing_backend: kms

max_upload_bytes: 100000000
tmp_dir: /tmp
root_url: ""
service: albs-sign-service

# GPG backend configuration
gpg:
  binary: /usr/bin/gpg2
  keyring: ~/.gnupg/pubring.kbx
  locks_dir: /tmp/gpg_locks
  keys:
    - AAAA1111BBBB2222
    - CCCC3333DDDD4444

# AWS KMS backend configuration
kms:
  # AWS credentials (optional - uses env vars or IAM role if not set)
  # access_key_id: YOUR_ACCESS_KEY
  # secret_access_key: YOUR_SECRET_KEY
  region: us-east-1
  signing_algorithm: RSASSA_PKCS1_V1_5_SHA_256
  max_workers: 10
  keys:
    - kms_id: alias/almalinux-signing-key
      gpg_fingerprint: AAAA1111BBBB2222CCCC3333DDDD4444EEEE5555
    - kms_id: alias/secondary-signing-key
      gpg_fingerprint: FFFF6666AAAA7777BBBB8888CCCC9999DDDD0000

# Database configuration
database:
  url: postgresql://signfile:password@localhost:5432/signfile
  pool_size: 5
  max_overflow: 10
  pool_recycle: 3600
  pool_pre_ping: true
  echo: false

# JWT configuration
jwt:
  secret_key: your-secret-key-here
  expire_minutes: 30
  algorithm: HS256

# Sentry configuration (optional)
sentry:
  dsn: ""
  traces_sample_rate: 0.2
  environment: dev

Configuration Priority:

Settings are loaded in this order (highest priority first):

Environment variables (SF_* prefix)
YAML config file
Default values

This allows keeping secrets (like SF_JWT_SECRET_KEY) in environment variables while having the rest in the YAML file.

AWS KMS Backend Setup

The KMS backend produces PGP-compatible signatures that can be verified with standard gpg --verify commands.

Prerequisites

AWS Credentials: Configure via environment variables, AWS CLI, or IAM role

export AWS_ACCESS_KEY_ID=your-access-key
export AWS_SECRET_ACCESS_KEY=your-secret-key
export AWS_DEFAULT_REGION=us-east-1

KMS Key: Create or import an asymmetric RSA signing key in AWS KMS
- Key spec: RSA_4096 (recommended) or RSA_2048
- Key usage: SIGN_VERIFY

IAM Permissions: The service needs these KMS permissions:

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": [
        "kms:Sign",
        "kms:DescribeKey",
        "kms:GetPublicKey"
      ],
      "Resource": "arn:aws:kms:*:*:key/*"
    }
  ]
}

Importing an Existing GPG Key into AWS KMS

If you have an existing GPG key, you can import it into AWS KMS using BYOK (Bring Your Own Key):

Export your GPG private key:

gpg --export-secret-keys --armor YOUR_KEY_FINGERPRINT > private.asc

Create KMS key with external origin:

aws kms create-key \
  --key-spec RSA_4096 \
  --key-usage SIGN_VERIFY \
  --origin EXTERNAL \
  --description "Imported GPG signing key"

Get wrapping parameters:

aws kms get-parameters-for-import \
  --key-id <key-id> \
  --wrapping-algorithm RSA_AES_KEY_WRAP_SHA_256 \
  --wrapping-key-spec RSA_4096

Prepare and import key material using the provided prepare_kms_key_material.py script
Configure the service with the KMS key ID and corresponding GPG fingerprint in config.yaml

KMS Configuration Options

Option	Description	Default
`kms.access_key_id`	AWS access key ID	Uses env/IAM
`kms.secret_access_key`	AWS secret access key	Uses env/IAM
`kms.region`	AWS region	Uses `AWS_DEFAULT_REGION`
`kms.signing_algorithm`	KMS signing algorithm	`RSASSA_PKCS1_V1_5_SHA_256`
`kms.max_workers`	Max concurrent signing operations	`10`
`kms.keys`	List of KMS keys with GPG fingerprints	Required

Each key in kms.keys requires:

kms_id: KMS key ID or alias (e.g., alias/my-key or full ARN)
gpg_fingerprint: The GPG fingerprint to embed in signatures (40 hex chars)

Database initialization

Database Configuration

The service supports both SQLite and PostgreSQL databases:

SQLite (Default)

Good for: Development, testing, simple deployments
Configuration: SF_DB_URL="sqlite:///./sign-file.sqlite3"
No additional setup required

PostgreSQL (Recommended for Production)

Good for: Production deployments, concurrent access, better performance
Configuration: SF_DB_URL="postgresql://user:password@host:port/dbname"
Requires: Running PostgreSQL server
Example: SF_DB_URL="postgresql://signfile:signfile@localhost:5432/signfile"
Driver: Uses psycopg2-binary (reliable, battle-tested PostgreSQL adapter)

PostgreSQL Optimizations:

The service includes advanced connection pooling for PostgreSQL:

Connection Pooling: Maintains a pool of reusable database connections
- SF_DB_POOL_SIZE=5: Number of connections to keep open (default: 5)
- SF_DB_MAX_OVERFLOW=10: Additional connections during traffic spikes (default: 10)
Connection Health:
- SF_DB_POOL_PRE_PING=true: Validates connections before use (prevents stale connections)
- SF_DB_POOL_RECYCLE=3600: Recycles connections after 1 hour (prevents timeout issues)
Monitoring:
- SF_DB_ECHO=false: Enable SQL logging for debugging (set to true in development)
- Connection pool statistics available via get_pool_stats() helper
Connection Settings:
- Connection timeout: 10 seconds
- Pool timeout: 30 seconds
- Application name: Identifies connections in PostgreSQL's pg_stat_activity

Creating Database and User

Using Alembic Migrations (Recommended)

Alembic provides version control for your database schema. This is the recommended approach:

Run migrations to create database tables:

(.venv) python3 db_manage.py migrate_init
Running database migrations...
Migrations completed successfully
command executed succesfully

Create a user:

(.venv) python3 db_manage.py user_add
email:kzhukov@cloudlinux.com
password:
password (repeat):
user kzhukov@cloudlinux.com was created (uid: 1)
command executed succesfully

Additional Migration Commands:

migrate_revision - Create a new migration (with autogenerate)
migrate_upgrade - Upgrade to the latest database version
migrate_downgrade - Downgrade database by one version
migrate_history - Show migration history

Database Monitoring:

pool_stats - Show connection pool statistics (PostgreSQL only)

Example:

(.venv) python3 db_manage.py pool_stats
Database Connection Pool Statistics:
{
  "pool_size": 5,
  "checked_in": 4,
  "checked_out": 1,
  "overflow": 0,
  "total_connections": 5
}
command executed succesfully

Legacy Method (Direct Table Creation)

You can still use the direct table creation method:

 (.venv) python3 db_manage.py create
 command executed succesfully

However, this method doesn't provide version control and is deprecated in favor of Alembic migrations.

Database Migrations with Alembic

The project uses Alembic for database schema version control. This allows you to:

Track changes to your database schema over time
Upgrade/downgrade between different schema versions
Automatically generate migrations from model changes

Working with Migrations

Creating a New Migration

When you modify the database models in sign/db/models.py, create a new migration:

(.venv) python3 db_manage.py migrate_revision
Migration message: add new field to user table
Migration 'add new field to user table' created successfully
command executed succesfully

Alembic will automatically detect changes in your models and generate the migration file.

Applying Migrations

To apply all pending migrations:

(.venv) python3 db_manage.py migrate_upgrade
Upgrading database...
Database upgraded successfully
command executed succesfully

Rolling Back Migrations

To roll back the last migration:

(.venv) python3 db_manage.py migrate_downgrade
Downgrading database...
Database downgraded successfully
command executed succesfully

Viewing Migration History

To see the current migration status:

(.venv) python3 db_manage.py migrate_history

Migration Files

Migration files are located in the alembic/versions/ directory. Each file contains:

upgrade() function - applies the migration
downgrade() function - reverts the migration

You can edit these files manually if needed, but be careful to maintain consistency.

Service startup

Start service using start.py script

(.venv) % python3 start.py
INFO:     Will watch for changes in these directories: ['/Users/kzhukov/projects/cloudlinux/albs-sign-file']
INFO:     Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit)
DEBUG:    WatchGodReload detected a new excluded dir '.pytest_cache' in '/Users/kzhukov/projects/cloudlinux/albs-sign-file'; Adding to exclude list.
DEBUG:    WatchGodReload detected a new excluded dir '.git' in '/Users/kzhukov/projects/cloudlinux/albs-sign-file'; Adding to exclude list.
DEBUG:    WatchGodReload detected a new excluded dir '.vscode' in '/Users/kzhukov/projects/cloudlinux/albs-sign-file'; Adding to exclude list.
INFO:     Started reloader process [27902] using watchgod
INFO:     Started server process [27904]
[2022-10-26 10:34:04,600] INFO - Started server process [27904]
INFO:     Waiting for application startup.
[2022-10-26 10:34:04,600] INFO - Waiting for application startup.
INFO:     Application startup complete.
[2022-10-26 10:34:04,601] INFO - Application startup complete.

API Reference

SWAGGER API documentation available at /docs endpoint

Endpoints

Endpoint	Method	Description
`/ping`	GET	Health check
`/sign`	POST	Sign a single file
`/sign-batch`	POST	Sign multiple files
`/token`	POST	Get JWT access token

All signing endpoints work with both GPG and KMS backends. The keyid parameter accepts:

For GPG: Key fingerprint (e.g., AAAA1111BBBB2222)
For KMS: Key ID or alias (e.g., alias/my-key)

Batch Signing Endpoint

The service includes a /sign-batch endpoint for signing multiple files in a single request. Files are processed asynchronously with I/O operations parallelized. For the GPG backend, exclusive locks and semaphores ensure safe GPG agent operation. For the KMS backend, concurrent signing is managed via a thread pool.

Note: The endpoint uses fail-fast behavior - if any file fails to sign, the entire batch operation fails immediately.

Basic usage

Get access token

Request

curl -X 'POST' \
  'http://localhost:8000/token' \
  -H 'accept: application/json' \
  -H 'Content-Type: application/json' \
  -d '{
  "email": "kzhukov@cloudlinux.com",
  "password": "test"
}'

Response

{"token":"eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ1c2VyX2lkIjoxLCJlbWFpbCI6Imt6aHVrb3ZAY2xvdWRsaW51eC5jb20iLCJleHAiOjE2NjY3ODI0OTJ9.SdqG6ex_VWtHXzXQXuzIUGnWaKY7HFrrMrwmLVYPwH4","user_id":1,"exp":1666775292}

Sign file with detached signature

Request

curl -X 'POST' \
  'http://localhost:8000/sign?keyid=AAAA1111BBBB2222' \
  -H 'accept: text/plain' \
  -H 'Authorization: Bearer eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ1c2VyX2lkIjoxLCJlbWFpbCI6Imt6aHVrb3ZAY2xvdWRsaW51eC5jb20iLCJleHAiOjE2NjY3ODI0OTJ9.SdqG6ex_VWtHXzXQXuzIUGnWaKY7HFrrMrwmLVYPwH4' \
  -H 'Content-Type: multipart/form-data' \
  -F 'file=@README.md;type=text/plain'

Response

Python example

import requests
from urllib.parse import urljoin

EMAIL = 'test@test.ru'
PASSWORD = 'test'
BASE_URL = 'http://localhost:8000'
PATH_TO_FILE = '/tmp/test.txt'
KEYID = '' # SET IT YOURSELF


def get_token(email: str = EMAIL, password: str = PASSWORD) -> str:
    endpoint = '/token'
    full_url = urljoin(BASE_URL, endpoint)
    body = {'email': email, 'password': password}
    response = requests.post(url=full_url, json=body)
    response.raise_for_status()
    return response.json()['token']


def sign_file(path_to_file: str = PATH_TO_FILE, 
              keyid: str  = KEYID):
    headers = {'Authorization': f"Bearer {get_token()}"}
    endpoint = '/sign'
    full_url = urljoin(BASE_URL, endpoint)
    params = {'keyid': keyid}
    files = {'file': open(path_to_file,'rb')}

    response = requests.post(url=full_url, headers=headers,
                             files=files, params=params)
    response.raise_for_status()

    return response.text


if __name__ == '__main__':
    print(sign_file())

Sign file with clear signature

Request

curl -X 'POST' \
  'http://localhost:8000/sign?keyid=AAAA1111BBBB2222&sign_type=clear-sign' \
  -H 'accept: text/plain' \
  -H 'Authorization: Bearer eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ1c2VyX2lkIjoxLCJlbWFpbCI6Imt6aHVrb3ZAY2xvdWRsaW51eC5jb20iLCJleHAiOjE2NjY3ODI0OTJ9.SdqG6ex_VWtHXzXQXuzIUGnWaKY7HFrrMrwmLVYPwH4' \
  -H 'Content-Type: multipart/form-data' \
  -F 'file=@test;type=text/plain'

Response

Check PGP signature (optional)

Save response as <filename>.acs and run gpg2 --verify <filename>.acs <filename>

gpg2 --verify README.md.acs README.md
gpg: Signature made среда, 26 октября 2022 г. 10:43:15 CEST
gpg:                using RSA key AAAA1111BBBB2222CCCC3333DDDD4444EEEE5555
gpg: Good signature from "key1 (test key) <zklevsha@gmail.com>" [ultimate]

Development mode

This section describes how to install service locally for development and tests

Prerequisites

For GPG backend: GnuPG
For KMS backend: AWS credentials configured
docker + docker-compose (optional)

Key generation

Create rsa key

  gpg --default-new-key-algo rsa4096 --gen-key

Check rsa keyid (hex value after "pub rsa4096/")

gpg --list-key --keyid-format long
/home/kzhukov/.gnupg/pubring.kbx
--------------------------------
pub   rsa4096/AAAA1111BBBB2222 2022-10-26 [SC] [expires: 2024-10-25]
      AAAA1111BBBB2222CCCC3333DDDD4444EEEE5555
uid                 [ultimate] Your Name <your@email.com>

For the example above keyid is AAAA1111BBBB2222

Create configuration file (.env)

Create .env file with following config

# change this according your key password
SF_PASS_DB_DEV_PASS="<password>"
SF_PASS_DB_DEV_MODE=True
# change according your key id
SF_PGP_KEYS_ID=["AAAA1111BBBB2222"]
SF_JWT_SECRET_KEY="access-secret"
# change according your .gnupg location
SF_HOST_GNUPG="/home/<some_user>/.gnupg"

# Database configuration
# For PostgreSQL (recommended for production):
SF_DB_URL="postgresql://signfile:signfile@postgres:5432/signfile"
# For SQLite (simpler for local development):
# SF_DB_URL="sqlite:///./sign-file.sqlite3"

Start service with docker-compose

sudo docker-compose up
[+] Running 3/3
 ⠿ Network albs-sign-file_default        Created                           0.7s
 ⠿ Container albs-sign-file-postgres-1   Created                           0.2s
 ⠿ Container albs-sign-file-sign_file-1  Created                           0.1s
Attaching to albs-sign-file-sign_file-1
albs-sign-file-sign_file-1  | initializing db for development
albs-sign-file-sign_file-1  | Running database migrations...
albs-sign-file-sign_file-1  | INFO  [alembic.runtime.migration] Context impl PostgresqlImpl.
albs-sign-file-sign_file-1  | INFO  [alembic.runtime.migration] Will assume transactional DDL.
albs-sign-file-sign_file-1  | INFO  [alembic.runtime.migration] Running upgrade  -> 001, Initial migration
albs-sign-file-sign_file-1  | Migrations completed
albs-sign-file-sign_file-1  | development user was created: login:test@test.ru password:test
albs-sign-file-sign_file-1  | command executed succesfully
albs-sign-file-sign_file-1  | INFO:     Will watch for changes in these directories: ['/app']
albs-sign-file-sign_file-1  | INFO:     Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit)
albs-sign-file-sign_file-1  | INFO:     Started reloader process [1] using watchgod
albs-sign-file-sign_file-1  | INFO:     Started server process [8]
albs-sign-file-sign_file-1  | [2022-10-26 23:21:29,762] INFO - Started server process [8]
albs-sign-file-sign_file-1  | INFO:     Waiting for application startup.
albs-sign-file-sign_file-1  | [2022-10-26 23:21:29,764] INFO - Waiting for application startup.
albs-sign-file-sign_file-1  | INFO:     Application startup complete.
albs-sign-file-sign_file-1  | [2022-10-26 23:21:29,764] INFO - Application startup complete.

After startup service will be available at http://hostip:8000 (make sure that 8000 port is open). Also there is a test user created: login:test@test.ru password:test

Note: By default, docker-compose now includes a PostgreSQL service. If you prefer to use SQLite, modify the SF_DB_URL in your .env file and remove the depends_on section from docker-compose.yml.

Development with KMS Backend

For local development with the KMS backend:

Create config file config.yaml:

signing_backend: kms

kms:
  region: us-east-1
  keys:
    - kms_id: alias/dev-signing-key
      gpg_fingerprint: AAAA1111BBBB2222CCCC3333DDDD4444EEEE5555

database:
  url: sqlite:///./sign-file.sqlite3

jwt:
  secret_key: dev-secret-key

Set environment variables:

export SF_CONFIG_FILE=./config.yaml
export AWS_ACCESS_KEY_ID=your-key
export AWS_SECRET_ACCESS_KEY=your-secret
export AWS_DEFAULT_REGION=us-east-1

Start the service:
```
python3 start.py
```

Test signing:

# Get token
TOKEN=$(curl -s -X POST 'http://localhost:8000/token' \
  -H 'Content-Type: application/json' \
  -d '{"email":"test@test.ru","password":"test"}' | jq -r .token)

# Sign a file
curl -X POST 'http://localhost:8000/sign?keyid=alias/dev-signing-key' \
  -H "Authorization: Bearer $TOKEN" \
  -F 'file=@README.md' > README.md.asc

# Verify signature
gpg --verify README.md.asc README.md

Deploy service behind the Nginx

Set SF_ROOT_URL in .env file to the prefix you like to serve service from
```
SF_ROOT_URL="/sign-file"
```

Add location to Nginx config

upstream signfile {
  server <ip:port>;
}

server {
  [... other configs ...]

  location /sign-file/ {
      proxy_set_header Host $http_host;
    proxy_pass http://signfile/;
  }
}

Name		Name	Last commit message	Last commit date
Latest commit History 81 Commits
.github		.github
alembic		alembic
sign		sign
tests/auth		tests/auth
.gitignore		.gitignore
Dockerfile		Dockerfile
README.md		README.md
alembic.ini		alembic.ini
db_manage.py		db_manage.py
docker-compose.yml		docker-compose.yml
pyproject.toml		pyproject.toml
requirements-tests.txt		requirements-tests.txt
setup.py		setup.py
start.py		start.py

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System Overview

Signing Backends

Installation

Prerequisites

Install service

Service configuration

YAML Configuration (Recommended)

AWS KMS Backend Setup

Prerequisites

Importing an Existing GPG Key into AWS KMS

KMS Configuration Options

Database initialization

Database Configuration

Creating Database and User

Database Migrations with Alembic

Working with Migrations

Migration Files

Service startup

API Reference

Endpoints

Batch Signing Endpoint

Basic usage

Get access token

Request

Response

Sign file with detached signature

Request

Response

Python example

Sign file with clear signature

Request

Response

Check PGP signature (optional)

Development mode

Prerequisites

Key generation

Create rsa key

Check rsa keyid (hex value after "pub rsa4096/")

Create configuration file (.env)

Start service with docker-compose

Development with KMS Backend

Deploy service behind the Nginx

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