Tools for the microdata.no platform
Project description
microdata-tools
Tools for the microdata.no platform
Installation
microdata-tools
can be installed from PyPI using pip:
pip install microdata-tools
Usage
Once you have your metadata and data files ready to go, they should be named and stored like this:
my-input-directory/
MY_DATASET_NAME/
MY_DATASET_NAME.csv
MY_DATASET_NAME.json
The CSV file is optional in some cases.
Package dataset
The package_dataset()
function will encrypt and package your dataset as a tar archive. The process is as follows:
- Generate the symmetric key for a dataset.
- Encrypt the dataset data (CSV) using the symmetric key and store the encrypted file as
<DATASET_NAME>.csv.encr
- Encrypt the symmetric key using the asymmetric RSA public key
microdata_public_key.pem
and store the encrypted file as<DATASET_NAME>.symkey.encr
- Gather the encrypted CSV, encrypted symmetric key and metadata (JSON) file in one tar file.
Unpackage dataset
The unpackage_dataset()
function will untar and decrypt your dataset using the microdata_private_key.pem
RSA private key.
The packaged file has to have the <DATASET_NAME>.tar
extension. Its contents should be as follows:
<DATASET_NAME>.json
: Required medata file.
<DATASET_NAME>.csv.encr
: Optional encrypted dataset file.
<DATASET_NAME>.symkey.encr
: Optional encrypted file containing the symmetrical key used to decrypt the dataset file. Required if the .csv.encr
file is present.
Decryption uses the RSA private key located at RSA_KEY_DIR
.
The packaged file is then stored in output_dir/archive/unpackaged
after a successful run or output_dir/archive/failed
after an unsuccessful run.
Example
Python script that uses a RSA public key named microdata_public_key.pem
and packages a dataset:
from pathlib import Path
from microdata_tools import package_dataset
RSA_KEYS_DIRECTORY = Path("tests/resources/rsa_keys")
DATASET_DIRECTORY = Path("tests/resources/input_package/DATASET_1")
OUTPUT_DIRECTORY = Path("tests/resources/output")
package_dataset(
rsa_keys_dir=RSA_KEYS_DIRECTORY,
dataset_dir=DATASET_DIRECTORY,
output_dir=OUTPUT_DIRECTORY,
)
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