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Access Request Service - a service for managing requests for access to GHGA datasets.
Researchers use the GHGA Data Portal to request access to a dataset for a limited period of time. This service is the backend behind that workflow: it stores the requests, keeps track of their state, and provides the endpoints through which data stewards process them.
A new request records the requested access period, a contact e-mail address and a free-text note, and starts out as pending. Data stewards can filter and inspect the open requests, attach a ticket ID, add an internal note or a note that is visible to the requester, adjust the access period, and finally allow or deny the request. Allowing a request requires an IVA (independent verification address) and registers a corresponding download access grant. Such grants can also be listed and revoked again via this service.
Configuration parameters limit how far in advance access may be requested and how long it may be granted, with a separate factor by which data stewards are allowed to extend the latter limit.
The service maintains its own view of the requestable datasets by consuming dataset upsertion and deletion events, and it publishes every change to an access request as an event, so that other services can notify the parties involved.
We recommend using the provided Docker container.
A pre-built version is available on https://hub.docker.com/repository/docker/ghga/access-request-service:
bashdocker pull ghga/access-request-service:8.0.2
Or you can build the container yourself from the ./Dockerfile:
bash# Execute in the repo's root dir: docker build -t ghga/access-request-service:8.0.2 .
For production-ready deployment, we recommend using Kubernetes. However for simple use cases, you could execute the service using docker on a single server:
bash# The entrypoint is pre-configured: docker run -p 8080:8080 ghga/access-request-service:8.0.2 --help
If you prefer not to use containers, you may install the service from source:
bash# Execute in the repo's root dir: pip install . # To run the service: ars --help
The service requires the following configuration parameters:
access_upfront_max_days (integer): The maximum lead time in days to request access grants. Minimum: 0. Default: 180.
access_grant_min_days (integer): The minimum number of days that the access will be granted. Minimum: 1. Default: 7.
access_grant_max_days (integer): The maximum number of days that the access can be granted. Minimum: 1. Default: 730.
access_grant_max_extend (number): This is a factor that the maximum number of days is multiplied with for data stewards. Set this to 1 to disable extension. Minimum: 1. Default: 5.
download_access_url (string, required): URL pointing to the internal download access API.
Examples:
json"http://127.0.0.1/download-access"
access_request_topic (string, required): Name of the event topic containing access request events.
Examples:
json"access-requests"
dataset_change_topic (string, required): Name of the topic announcing, among other things, the list of files included in a new dataset.
Examples:
json"metadata_datasets"
dataset_deletion_type (string, required): Event type used for communicating dataset deletions.
Examples:
json"dataset_deleted"
dataset_upsertion_type (string, required): Event type used for communicating dataset upsertions.
Examples:
json"dataset_upserted"
service_name (string): Short name of this service. Default: "ars".
service_instance_id (string, required): A string that uniquely identifies this instance across all instances of this service. This is included in log messages.
Examples:
json"germany-bw-instance-001"
kafka_servers (array, required): A list of connection strings to connect to Kafka bootstrap servers.
Examples:
json[ "localhost:9092" ]
kafka_security_protocol (string): Protocol used to communicate with brokers. Valid values are: PLAINTEXT, SSL. Must be one of: "PLAINTEXT" or "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, write-only): 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 inbound requests don't possess a correlation ID. If True, requests without a correlation ID will be assigned a newly generated ID in the correlation ID middleware function. Default: true.
Examples:
jsontrue
jsonfalse
kafka_max_message_size (integer): The largest message size that can be transmitted, in bytes, before compression. Only services that have a need to send/receive larger messages should set this. When used alongside compression, this value can be set to something greater than the broker's message.max.bytes field, which effectively concerns the compressed message size. Exclusive minimum: 0. Default: 1048576.
Examples:
json1048576
json16777216
kafka_compression_type: The compression type used for messages. Valid values are: None, gzip, snappy, lz4, and zstd. If None, no compression is applied. This setting is only relevant for the producer and has no effect on the consumer. If set to a value, the producer will compress messages before sending them to the Kafka broker. If unsure, zstd provides a good balance between speed and compression ratio. Default: null.
Examples:
jsonnull
json"gzip"
json"snappy"
json"lz4"
json"zstd"
kafka_max_retries (integer): The maximum number of times to immediately retry consuming an event upon failure. Works independently of the dead letter queue. Minimum: 0. Default: 0.
Examples:
json0
json1
json2
json3
json5
kafka_enable_dlq (boolean): A flag to toggle the dead letter queue. If set to False, the service will crash upon exhausting retries instead of publishing events to the DLQ. If set to True, the service will publish events to the DLQ topic after exhausting all retries. Default: false.
Examples:
jsontrue
jsonfalse
kafka_dlq_topic (string): The name of the topic used to resolve error-causing events. Default: "dlq".
Examples:
json"dlq"
kafka_retry_backoff (integer): The number of seconds to wait before retrying a failed event. The backoff time is doubled for each retry attempt. Minimum: 0. Default: 0.
Examples:
json0
json1
json2
json3
json5
mongo_dsn (string, format: multi-host-uri, required): MongoDB connection string. Might include credentials. For more information see: [***] Length must be at least 1.
Examples:
json"mongodb://localhost:27017"
db_name (string, required): Name of the database located on the MongoDB server.
Examples:
json"my-database"
mongo_timeout: Timeout in seconds for API calls to MongoDB. The timeout applies to all steps needed to complete the operation, including server selection, connection checkout, serialization, and server-side execution. When the timeout expires, PyMongo raises a timeout exception. If set to None, the operation will not time out (default MongoDB behavior). Default: null.
Examples:
json300
json600
jsonnull
db_version_collection (string, required): The name of the collection containing DB version information for this service.
Examples:
json"ifrsDbVersions"
migration_wait_sec (integer, required): The number of seconds to wait before checking the DB version again.
Examples:
json5
json30
json180
migration_max_wait_sec: The maximum number of seconds to wait for migrations to complete before raising an error. Default: null.
Examples:
jsonnull
json300
json600
json3600
log_level (string): The minimum log level to capture. Must be one of: "CRITICAL", "ERROR", "WARNING", "INFO", "DEBUG", or "TRACE". Default: "INFO".
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.
Examples:
json"%(timestamp)s - %(service)s - %(level)s - %(message)s"
json"%(asctime)s - Severity: %(levelno)s - %(msg)s"
log_traceback (boolean): Whether to include exception tracebacks in log messages. Default: true.
auth_key (string, required): The GHGA internal public key for validating the token signature.
Examples:
json"{\"crv\": \"P-256\", \"kty\": \"EC\", \"x\": \"...\", \"y\": \"...\"}"
auth_algs (array): A list of all algorithms used for signing GHGA internal tokens. Default: ["ES256"].
auth_check_claims (object): A dict of all GHGA internal claims that shall be verified. Can contain additional properties. Default: {"id": null, "name": null, "email": null, "iat": null, "exp": null}.
auth_map_claims (object): A mapping of claims to attributes in the GHGA auth context. Can contain additional properties. Default: {}.
port (integer): Port to expose the server on the specified host. Default: 8080.
auto_reload (boolean): A development feature. Set to True to automatically reload the server upon code changes. Default: false.
workers (integer): Number of workers processes to run. Default: 1.
timeout_keep_alive (integer): The time in seconds to keep an idle connection open for subsequent requests before closing it. This value should be higher than the timeout used by any client or reverse proxy to avoid premature connection closures. Default: 90.
Examples:
json5
json90
json5400
api_root_path (string): Root path at which the API is reachable. This is relative to the specified host and port. Default: "".
openapi_url (string): Path to get the openapi specification in JSON format. This is relative to the specified host and port. Default: "/openapi.json".
docs_url (string): Path to host the swagger documentation. This is relative to the specified host and port. Default: "/docs".
cors_allowed_origins: A list of origins that should be permitted to make cross-origin requests. By default, cross-origin requests are not allowed. You can use ['*'] to allow any origin. Default: null.
Examples:
json[ "https://example.org", "https://www.example.org" ]
cors_allow_credentials: Indicate that cookies should be supported for cross-origin requests. Defaults to False. Also, cors_allowed_origins cannot be set to ['*'] for credentials to be allowed. The origins must be explicitly specified. Default: null.
Examples:
json[ "https://example.org", "https://www.example.org" ]
cors_allowed_methods: A list of HTTP methods that should be allowed for cross-origin requests. Defaults to ['GET']. You can use ['*'] to allow all standard methods. Default: null.
Examples:
json[ "*" ]
cors_allowed_headers: A list of HTTP request headers that should be supported for cross-origin requests. Defaults to []. You can use ['*'] to allow all request headers. The Accept, Accept-Language, Content-Language, Content-Type and some are always allowed for CORS requests. Default: null.
Examples:
json[]
cors_exposed_headers: A list of HTTP response headers that should be exposed for cross-origin responses. Defaults to []. Note that you can NOT use ['*'] to expose all response headers. The Cache-Control, Content-Language, Content-Length, Content-Type, Expires, Last-Modified and Pragma headers are always exposed for CORS responses. Default: null.
Examples:
json[]
A template YAML file for configuring the service can be found at
./example_config.yaml.
Please adapt it, rename it to .ars.yaml, and place it in one of the following locations:
./.ars.yaml)~/.ars.yaml)The config YAML file 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
can also be set using environment variables or file secrets.
For naming the environment variables, just prefix the parameter name with ars_,
e.g. for the host set an environment variable named ars_host
(you may use both upper or lower cases, however, it is standard to define all env
variables in upper cases).
To use file secrets, please refer to the corresponding section of the pydantic documentation.
An OpenAPI specification for this service can be found here.
This is a Python-based service following the Triple Hexagonal Architecture pattern. It uses protocol/provider pairs and dependency injection mechanisms provided by the https://github.com/ghga-de/hexkit library.
For setting up the development environment, we rely on the https://code.visualstudio.com/docs/remote/containers 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:
Inside the devcontainer, a command dev_install is available for convenience.
It installs the service with all development dependencies, and it installs pre-commit.
The installation is performed automatically when you build the devcontainer. However,
if you update dependencies in the ./pyproject.toml or the
lock/requirements-dev.txt, run it again.
This repository is free to use and modify according to the Apache 2.0 License.
This README file is auto-generated, please see .readme_generation/README.md for details.
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