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Internal File Registry Service

This service acts as a registry for the internal location and representation of files.

Description

This service provides functionality to administer files stored in an S3-compatible object storage. All file-related metadata is stored in an internal mongodb database, owned and controlled by this service. It exposes no REST API endpoints and communicates with other services via events.

Events consumed:

files_to_register

This event signals that there is a file to register in the database. The file-related metadata from this event gets saved in the database and the file is moved from the incoming staging bucket to the permanent storage.

files_to_stage

This event signals that there is a file that needs to be staged for download. The file is then copied from the permanent storage to the outbox for the actual download.

Events published:

file_internally_registered

This event is published after a file was registered in the database. It contains all the file-related metadata that was provided by the files_to_register event.

file_staged_for_download

This event is published after a file was successfully staged to the outbox.

Installation

We recommend using the provided Docker container.

A pre-build version is available at docker hub:

docker pull ghga/internal-file-registry-service:3.0.1

Or you can build the container yourself from the ./Dockerfile:

# Execute in the repo's root dir:
docker build -t ghga/internal-file-registry-service:3.0.1 .

For production-ready deployment, we recommend using Kubernetes, however, for simple use cases, you could execute the service using docker on a single server:

# The entrypoint is preconfigured:
docker run -p 8080:8080 ghga/internal-file-registry-service:3.0.1 --help

If you prefer not to use containers, you may install the service from source:

# Execute in the repo's root dir:
pip install .

# To run the service:
ifrs --help

Configuration

Parameters

The service requires the following configuration parameters:

  • log_level (string): The minimum log level to capture. Must be one of: ["CRITICAL", "ERROR", "WARNING", "INFO", "DEBUG", "TRACE"]. Default: "INFO".

  • service_name (string): Default: "internal_file_registry".

  • service_instance_id (string, required): A string that uniquely identifies this instance across all instances of this service. A globally unique Kafka client ID will be created by concatenating the service_name and the service_instance_id.

    Examples:

    "germany-bw-instance-001"
  • log_format: If set, will replace JSON formatting with the specified string format. If not set, has no effect. In addition to the standard attributes, the following can also be specified: timestamp, service, instance, level, correlation_id, and details. Default: null.

    • Any of

      • string

      • null

    Examples:

    "%(timestamp)s - %(service)s - %(level)s - %(message)s"
    "%(asctime)s - Severity: %(levelno)s - %(msg)s"
  • log_traceback (boolean): Whether to include exception tracebacks in log messages. Default: true.

  • object_storages (object, required): Can contain additional properties.

  • file_registered_event_topic (string, required): Name of the topic used for events indicating that a new file has been internally registered.

    Examples:

    "internal-file-registry"
  • file_registered_event_type (string, required): The type used for events indicating that a new file has been internally registered.

    Examples:

    "file_registered"
  • file_staged_event_topic (string, required): Name of the topic used for events indicating that a new file has been internally registered.

    Examples:

    "internal-file-registry"
  • file_staged_event_type (string, required): The type used for events indicating that a new file has been internally registered.

    Examples:

    "file_staged_for_download"
  • file_deleted_event_topic (string, required): Name of the topic used for events indicating that a file has been deleted.

    Examples:

    "internal-file-registry"
  • file_deleted_event_type (string, required): The type used for events indicating that a file has been deleted.

    Examples:

    "file_deleted"
  • files_to_delete_topic (string, required): The name of the topic to receive events informing about files to delete.

    Examples:

    "file-deletions"
  • files_to_register_topic (string, required): The name of the topic to receive events informing about new files to register.

    Examples:

    "file-interrogations"
  • files_to_stage_topic (string, required): The name of the topic to receive events informing about files to stage.

    Examples:

    "file-downloads"
  • kafka_servers (array, required): A list of connection strings to connect to Kafka bootstrap servers.

    • Items (string)

    Examples:

    [
        "localhost:9092"
    ]
  • kafka_security_protocol (string): Protocol used to communicate with brokers. Valid values are: PLAINTEXT, SSL. Must be one of: ["PLAINTEXT", "SSL"]. Default: "PLAINTEXT".

  • kafka_ssl_cafile (string): Certificate Authority file path containing certificates used to sign broker certificates. If a CA is not specified, the default system CA will be used if found by OpenSSL. Default: "".

  • kafka_ssl_certfile (string): Optional filename of client certificate, as well as any CA certificates needed to establish the certificate's authenticity. Default: "".

  • kafka_ssl_keyfile (string): Optional filename containing the client private key. Default: "".

  • kafka_ssl_password (string, format: password): Optional password to be used for the client private key. Default: "".

  • generate_correlation_id (boolean): A flag, which, if False, will result in an error when trying to publish an event without a valid correlation ID set for the context. If True, the a newly correlation ID will be generated and used in the event header. Default: true.

    Examples:

    true
    false
  • kafka_max_message_size (integer): The largest message size that can be transmitted, in bytes. Only services that have a need to send/receive larger messages should set this. Exclusive minimum: 0. Default: 1048576.

    Examples:

    1048576
    16777216
  • db_connection_str (string, format: password, required): MongoDB connection string. Might include credentials. For more information see: https://naiveskill.com/mongodb-connection-string/.

    Examples:

    "mongodb://localhost:27017"
  • db_name (string, required): Name of the database located on the MongoDB server.

    Examples:

    "my-database"
  • db_version_collection (string, required): The name of the collection containing DB version information for this service.

    Examples:

    "ifrsDbVersions"
  • migration_wait_sec (integer, required): The number of seconds to wait before checking the DB version again.

    Examples:

    5
    30
    180

Definitions

Usage:

A template YAML for configuring the service can be found at ./example-config.yaml. Please adapt it, rename it to .ifrs.yaml, and place it into one of the following locations:

  • in the current working directory were you are execute the service (on unix: ./.ifrs.yaml)
  • in your home directory (on unix: ~/.ifrs.yaml)

The config yaml will be automatically parsed by the service.

Important: If you are using containers, the locations refer to paths within the container.

All parameters mentioned in the ./example-config.yaml could also be set using environment variables or file secrets.

For naming the environment variables, just prefix the parameter name with ifrs_, e.g. for the host set an environment variable named ifrs_host (you may use both upper or lower cases, however, it is standard to define all env variables in upper cases).

To using file secrets please refer to the corresponding section of the pydantic documentation.

Architecture and Design:

This is a Python-based service following the Triple Hexagonal Architecture pattern. It uses protocol/provider pairs and dependency injection mechanisms provided by the hexkit library.

Development

For setting up the development environment, we rely on the devcontainer feature of VS Code in combination with Docker Compose.

To use it, you have to have Docker Compose as well as VS Code with its "Remote - Containers" extension (ms-vscode-remote.remote-containers) installed. Then open this repository in VS Code and run the command Remote-Containers: Reopen in Container from the VS Code "Command Palette".

This will give you a full-fledged, pre-configured development environment including:

  • infrastructural dependencies of the service (databases, etc.)
  • all relevant VS Code extensions pre-installed
  • pre-configured linting and auto-formatting
  • a pre-configured debugger
  • automatic license-header insertion

Moreover, inside the devcontainer, a convenience commands dev_install is available. It installs the service with all development dependencies, installs pre-commit.

The installation is performed automatically when you build the devcontainer. However, if you update dependencies in the ./pyproject.toml or the ./requirements-dev.txt, please run it again.

License

This repository is free to use and modify according to the Apache 2.0 License.

README Generation

This README file is auto-generated, please see readme_generation.md for details.