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dataintegrityfingerprint-0.7.6


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توضیحات

Data Integrity Fingerprint (DIF) - A reference implementation in Python
ویژگی مقدار
سیستم عامل -
نام فایل dataintegrityfingerprint-0.7.6
نام dataintegrityfingerprint
نسخه کتابخانه 0.7.6
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Oliver Lindemann, Florian Krause
ایمیل نویسنده oliver@expyriment.org, florian@expyriment.org
آدرس صفحه اصلی https://github.com/expyriment/dataintegrityfingerprint-python
آدرس اینترنتی https://pypi.org/project/dataintegrityfingerprint/
مجوز -
Data Integrity Fingerprint (DIF) ================================ ![GitHub](https://img.shields.io/pypi/l/dataintegrityfingerprint?style=flat) [![PyPI](https://img.shields.io/pypi/v/dataintegrityfingerprint?style=flat)](https://pypi.org/project/dataintegrityfingerprint/) [![Automated test suite](https://github.com/expyriment/dataintegrityfingerprint-python/actions/workflows/automated_test_suite.yml/badge.svg)](https://github.com/expyriment/dataintegrityfingerprint-python/actions/workflows/automated_test_suite.yml) **A reference implementation in Python** * Command line interface (CLI) application * Graphical user interface (GUI) application * Programming library (Python package) _by [Oliver Lindemann](http://www.cognitive-psychology.eu/lindemann/) & [Florian Krause](https://floriankrause.org)_ ## Table of contents * [Introduction](#introduction) * [Installation](#installation) * Usage * [Command line interface (CLI) application usage](#command-line-interface-cli-application-usage) * [Graphical user interface (GUI) application usage](#graphical-user-interface-gui-application-usage) * [Programming library (Python package) usage](#programming-library-python-package-usage) * [Support and contribution](#Support-and-contribution) ## Introduction This software calculates the [Data Integrity Fingerprint (DIF)](https://www.expyriment.org/dataintegrityfingerprint/) of multi-file datasets. It can be used via the command line, via a graphical user interface, or as a Python library for embedding in other software. In either case, the user has the choice of calculating the DIF based on a variety of (cryptographic) algorithms using serial (single CPU core) or parallel (multiple CPU cores) computing. In addition, a checksums file with fingerprints of individual files in a dataset can be created. These files can also serve as the basis for calculating the DIF and, in addition, can be compared against a dataset in order to reveal content differences in case a DIF could not be verified. **Note:** We strongly recommend to use SHA-256 or one of the other cryptographic algorithms for calculating the DIF. The non-cryptographic algorithms are significantly faster, but also significantly less secure (i.e. collisions are much more likely, breaking the uniqueness of a DIF, and opening a door for potential manipulation). They might hence only be an option for very large datasets in scenarios where a potential manipulation by a third party is not part of the threat model. The graphical user interface does not allow for selecting non-cryptographic algorithms. ## Installation The quickest way to use the application is to install it with [pipx](https://pypa.github.io/pipx/): ``` pipx install dataintegrityfingerprint ``` To also make use of the programming library, a classical pip installation is of course also possible: ``` python -m pip install dataintegrityfingerprint ``` ## Usage ### Command line interface (CLI) application usage After successful installation, the command line interface is available as `dataintegrityfingerprint`: ``` dataintegrityfingerprint [-h] [-f] [-a ALGORITHM] [-C] [-D] [-G] [-L] [-s] [-d CHECKSUMSFILE] [-n] [-p] [--non-cryptographic] [PATH] positional arguments: PATH the path to the data directory options: -h, --help show this help message and exit -f, --from-checksums-file Calculate dif from checksums file. PATH is a checksums file -a ALGORITHM, --algorithm ALGORITHM the hash algorithm to be used (default=SHA-256) -C, --checksums print checksums only -D, --dif-only print dif only -G, --gui open graphical user interface -L, --list-available-algorithms print available algorithms -s, --save-checksums-file save checksums to file -d CHECKSUMSFILE, --diff-checksums-file CHECKSUMSFILE Calculate differences of checksums to CHECKSUMSFILE -n, --no-multi-processing switch of multi processing -p, --progress show progressbar --non-cryptographic allow non cryptographic algorithms (Not suggested, please read documentation carefully!) ``` ### Graphical user interface (GUI) application usage After successful installation, the graphical user interface is available as `dataintegrityfingerprint-gui`: ![image](https://user-images.githubusercontent.com/2971539/143478538-6700a283-01db-4073-8692-2218d5a777c2.png) * _Button "Browse..."_ - Opens a file browser for selecting a data directory. The selected data directory will be shown at the top of the interface. * _Button "Generate DIF"_ - Generates the DIF for the selected data directory. The DIF will be shown at the bottom of the interface. In addition, the main area in the middle of the interface will show the checksums (fingerprints) of individual files. * _Button "Copy"_ - Copies the DIF into the clipboard for pasting into other applications. * _Menu item "File --> Open checksums"_ - Opens a checksums file. The DIF of that checksums file will be shown at the bottom of the interface. In addition, the main area in the middle of the interface will show the checksums (fingerprints) of individual files. * _Menu item "File --> Save checksums"_ - Saves the checksums (fingerprints) of individual files to a file. * _Menu item "File --> Quit"_ - Quits the application. * _Menu item "Edit --> Diff checksums"_ - Opens a checksums file and shows differences of checksums (fingerprints) of individual files to those currently shown in the main area in the middle of the interface. * _Menu item "Options --> Hash algorithm"_ - Selects the cryptographic hash algorithm used as basis for DIF calculation. * _Menu item "Progress updating"_ - Enables/disables progress updating via a progress bar. * _Menu item "Options --> Multi-core processing"_ - Enables/disables parallel computing (usage of multiple CPU cores). ### Programming library (Python package) usage After successful installation, the Python package is available as `dataintegrityfingerprint`: ```python3 import dataintegrityfingerprint ``` A DIF can then be created in the following way: ```python3 dif = dataintegrityfingerprint.DataIntegrityFingerprint("/path/to/dataset") print(dif) # get the DIF print(dif.checksums) # get the list of checksums of individual files ``` ### API documentation The main functionality for usage in other code is made available via the class `DataIntegrityFingerprint`. --- #### DataIntegrityFingerprint Create a DataIntegrityFingerprint object. ``` DataIntegrityFingerprint(data, from_checksums_file=False, hash_algorithm='SHA-256', multiprocessing=True, allow_non_cryptographic_algorithms=False) Parameters ---------- data : str the path to the data from_checksums_file : bool data argument is a checksums file hash_algorithm : str the hash algorithm (optional, default: sha256) multiprocessing : bool using multi CPU cores (optional, default: True) speeds up creating of checksums for large data files allow_non_cryptographic_algorithms : bool set True only, if you need non cryptographic algorithms (see notes!) Note ---- We do not suggest to use non-cryptographic algorithms. Non-cryptographic algorithms are, while much faster, not secure (e.g. can be tempered with). Only use these algorithms to check for technical file damage and in cases security is not of critical concern. ``` --- The `DataIntegrityFingerprint` class includes a set of global variables which affect all instances. #### CHECKSUM_FILENAME_SEPARATOR = ' ' Global variable. Default value = `'␣␣'` (i.e., two U+0020 whitespace characters) #### CRYPTOGRAPHIC_ALGORITHMS Global variable. Default value = `['MD5', 'SHA-1', 'SHA-224', 'SHA-256', 'SHA-384', 'SHA-512', 'SHA3-224', 'SHA3-256', 'SHA3-384', 'SHA3-512']` #### NON_CRYPTOGRAPHIC_ALGORITHMS Global variable. Default value = `['ADLER-32', 'CRC-32']` --- Once initiated, a `DataIntegrityFingerprint` object provides several methods and attributes. #### dif_checksums Calculate differences of checksums to checksums file. ``` diff_checksums(filename) Parameters ---------- filename : str the name of the checksums file Returns ------- diff : str the difference of checksums to the checksums file (minus means checksums is missing something from checksums file, plus means checksums has something in addition to checksums file) ``` #### generate Generate hash list to get Data Integrity Fingerprint. ``` generate(progress=None) Parameters ---------- progress: function, optional a callback function for a progress reporting that takes the following parameters: count -- the current count total -- the total count status -- a string describing the status ``` #### get_files Get all files to hash. ``` get_files(self) Returns ------- files : list the list of files to hash ``` #### save_checksums Save the checksums to a file. ``` save_checksums(filename=None) Parameters ---------- filename : str, optional the name of the file to save checksums to Returns ------- success : bool whether saving was successful ``` --- An initiated `DataIntegrityFingerprint` object also provides a set of read-only properties. #### allow_non_cryptographic_algorithms Read-only property #### checksums Read-only property. #### data Read-only property. #### dif Read-only property. #### file_count Read-only property. #### file_hash_list Read-only property. #### hash_algorithm Read-only property. #### multiprocessing Read-only property. ## Support and contribution For any questions, please use the [discussion](https://github.com/expyriment/dataintegrityfingerprint-python/discussions) section from the code repository. If you wish to contribute or report an issue, please use the [issue tracker](https://github.com/expyriment/dataintegrityfingerprint-python/issues) and [pull requests](https://github.com/expyriment/dataintegrityfingerprint-python/pulls).


زبان مورد نیاز

مقدار نام
>=3.6 Python


نحوه نصب


نصب پکیج whl dataintegrityfingerprint-0.7.6:

    pip install dataintegrityfingerprint-0.7.6.whl


نصب پکیج tar.gz dataintegrityfingerprint-0.7.6:

    pip install dataintegrityfingerprint-0.7.6.tar.gz