Configuration file for data decryption

This is the description of the JSON configuration file for a File Utilities data decryption data operation.

The configuration file is in JSON format. It contains the following sections:

• Global parameters: General information about the data operation.

• Tasks parameters: One or several task blocks, containing information about the specific data operation.

• Credential parameters: Information about the credentials for the buckets and the PGP public key.

👁️‍🗨️ Example

Here is an example of File Utilities configuration file for data decryption:

{
    "configuration_type": "file-utilities",
    "configuration_id": "000010-file-utilities_demo",
    "environment": "DEV",
    "account": "000099",
    "activated": true,
    "archived": false,
    "version": "2",
    "doc_md": "readme.md",
    "gcp_project_id": "my-project",
    "gcs_bucket": "my-bucket",
    "gcs_path": "input",
    "gcs_destination_suffix": "input_decrypt",
    "launch_mode": "gcs",
    "filename_templates": [{
            "filename_template": "SCORES_{{FD_DATE}}-{{FD_BLOB_36}}.{{FD_BLOB_13}}.csv.gz.gpg",
            "file_description": "Scores"
        },
        {
            "filename_template": "ADR_{{FD_DATE}}-{{FD_BLOB_36}}.csv.gpg",
            "file_description": "Addresses"
        }
    ],
    "task_dependencies": [
        "pgp_decrypt"
    ],
    "tasks": [{
        "task_id": "pgp_decrypt",
        "task_type": "pgp",
        "pgp_mode": "decrypt",
        "private_key.pgp": {
            "passphrase": {
                "cipher_aes": "af3...",
                "tag": "fl9...",
                "ciphertext": "1e2...",
                "enc_session_key": "qvt..."
            },
            "recipient": "[email protected]",
            "content": {
                "cipher_aes": "hk5...",
                "tag": "dfh...",
                "ciphertext": "cj5...",
                "enc_session_key": "2fk..."
            }
        }
    }],
    "credentials": {
        "gcp-credentials.json": {
            "content": {
                "cipher_aes": "gf5...", 
                "tag": "cvh...", 
                "ciphertext": "4et...", 
                "enc_session_key": "g5d..."
            }
        }
    }
}

🌐 Global parameters

Parameter	Description
configuration_type type: string mandatory	Type of data operation. For an File Utilities data operation, the value is always "file-utilities"
configuration_id type: string mandatory	ID of the data operation. You can pick any name you want, but is has to be unique for this data operation type. Note that in case of conflict, the newly deployed data operation will overwrite the previous one. To guarantee its uniqueness, the best practice is to include in your data operation name: your account ID the source bucket the source path
environment type: string mandatory	Deployment context. Values: PROD, PREPROD, STAGING, DEV.
account type: string mandatory	Your account ID is a 6-digit number assigned to you by your Tailer Platform administrator.
activated type: boolean optional	Flag used to enable/disable the execution of the data operation. Default value: true
archived type: boolean optional	Flag used to enable/disable the visibility of the data operation's configuration and runs in Tailer Studio. Default value: false
doc_md type: string optional	Path to a file containing a detailed description of the data operation. The file must be in Markdown format.
version type: string optional	Enter 2 is you are using context & environment and 1 if not.
gcp_project_id type: string mandatory	Set the project where deploy the configuration and the associated cloud functions. If not set, the user will be prompted to choose a project id.
gcs_bucket type: string mandatory	Name of the bucket.
gcs_path type: string mandatory	Path where the files will be found, e.g. "some/sub/dir".
gcs_destination_suffix type: string mandatory	Google Cloud Storage destination path, e.g. "/subdir/subdir_2" to send the files to "gs://BUCKET/subdir/subdir_2/source_file.ext"
launch_mode type: string mandatory	Choice of triggering system. Choose "gcs" to trigger the operation on file creation on a bucket. Futur modes will be implemented.
filename_templates type: string mandatory	List of filename templates that will be processed. You can set the value to "*" for all files to be copied. However, this is not recommended, as unnecessary or sensitive files might be included by mistake. Besides, the date value specified in filename_template will be used to sort files in the archive folder. If no date value is specified, all files will be stored together under one folder named /ALL. The best practice is to specify one or more filename templates with the filename_template and file_description parameters as described in the next paragraphe.
task_dependencies type: array of strings mandatory	The task_dependencies parameter allows you to create dependencies between the different tasks specified in the workflow parameter (see below). It will define in which order the workflow tasks will run, some of them running concurrently, others sequentially. Syntax The double chevron >> means that the first task needs to be completed before the next one can start. The comma , means that the tasks will run concurrently. The square brackets [ and ] allow you to define a set of tasks that will run together. For detailed information about the syntax, refer to the Airflow documentation. Example 1 We have the following tasks that we want to run sequentially: taskA (create_gbq_table), taskB (sql) and taskC (copy_gbq_table). The task_dependencies parameter will be as follows: "task_dependencies": [" taskA >> taskB >> taskC "], Example 2 We have the following tasks that we want to run concurrently: taskA, taskB and taskC. The task_dependencies parameter will be as follows: "task_dependencies": [" taskA, taskB, taskC "], Example 3 We have the following 9 tasks we want to order: taskA, taskD, taskG (create_gbq_table), taskB, taskE, taskH (sql), taskC, taskF, taskI (copy_gbq_table). The task_dependencies parameter will be as follows:"task_dependencies": [" [taskA, taskD, taskG] >> [taskB, taskE, taskH] >> [taskC, taskF, taskI] "], Example 4 In the example above, we want taskH to run before taskE so we can use its result for taskE. The task_dependencies parameter will be as follows: "task_dependencies": [" [taskA, taskD, taskG] >> taskH >> [taskB, taskE] >> [taskC, taskF, taskI] "],
credentials type:array mandatory	Encrypted credentials needed to read/move data from the source bucket. You should have generated credentials when setting up GCP. To learn how to encrypt them, refer to this page.

🖥️ PGP decrypt task parameters

Information related to the Google Cloud Compute Engine VM where the script will be executed.

Parameter	Description
task_id type: string mandatory	ID of the task. It must be unique within the data operation.
task_type type: string mandatory	The value has to be set to "pgp" for this task type.
pgp_mode type: string mandatory	PGP mode. For data decryption, the value is always "decrypt".
private_key.pgp type:array mandatory	Encrypted private key. This array contains three entities: - the passphrase "password" of the private key - the recipient "username" of the private key - the content "schema" credentials after passing it through tailer encrypt.