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NYPL / ami-tools

Licence: MIT license
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AMI Tools

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Python3 scripts and classes to help with managing bags of NYPL AMI files

Installation and Updates

Production use

Run the following from your terminal

pip3 install --user 'ami-tools @ git+https://github.com/NYPL/ami-tools'

If you are using virtual environments, do not include the --user.

Development use

If you want a version that you can edit and run separately from the production install, clone this repo and then install it to a virtual environment.

cd /path/to/repo
pyenv virtualenv amitools-dev
pyenv local amitool-dev
pip install -e .

Whenever you run any portion of the ami-tools package while in /path/to/repo it will use this working version of the package.

Tools

Installing the package makes the following tools available from the command line. All scripts include a help dialog.

script_name.py -h

Data collection

survey_drive.py

Generate the following from a mounted drive (or any folder): report of all files, report of all bags, directory with a copy of all presumed metadata (JSON and Excel)

Usage: Survey a drive mounted on a Mac

survey_drive.py -d /Volumes/drive-name -o path/to/dir/for/reports

Validation Tools

validate_ami_bags.py

Check bag Oxums, bag completeness, bag hashes, directory structure, filenames, and metadata (only implemented for Excel)

Usage: Check a directory of bags, default check does not look at metadata or checksums

validate_ami_bags.py -d path/to/dir/of/bags

Usage: Check a single bag, including metadata or checksums

validate_ami_bags.py -b path/to/bag --metadata --slow

validate_ami_excel.py

Check if an excel file adheres to the expectations of media ingest

Usage: Check a single Excel file

validate_ami_bags.py -e path/to/excel/file

validate_bags.py

Check bag Oxums, bag completeness, and bag hashes (if requested). Default is similar to bagit.py --validate --fast except includes completeness check. Less strict than validate_ami_bags.py.

Usage: Check a single bag

validate_bags.py -b path/to/bag --slow

Bag Management Tools

fix_baginfo.py

Update Oxum in bag-info.txt to match actual Oxum

Usage: Check and repair a directory of bag Oxums

fix_baginfo.py -d path/to/dir/of/bags

repair_bags.py (in development)

Manage files in bag-payload but not in manifest, either adding them to the manifest or deleting them.

Usage: Add all untracked files to manifest and Oxum

repair_bags.py -b path/to/bag --addfiles

Usage: Delete all untracked file from data/ directory. By default, only the following system files will be deleted: Thumbs.db files, DS_Store files, Appledouble files, and Icon files

repair_bags.py -b path/to/bag --deletefiles

convert_excelbag_to_jsonbag.py (in development)

Convert an bag that meets rules for AMI Excel bags to a bag that meets rules for AMI JSON bags

Usage: Convert all bags in a directory from Excel to JSON

convert_excelbag_to_jsonbag.py -b path/to/bag

Classes

The package also contains classes for implementing further tools

ami_bag.ami_bag

Extension of the bagit-python Bag class with methods for validation and classification of bags according to NYPL AMI rules

ami_md.ami_excel

Classes and methods for Excel workbooks and sheets storing metadata about preservation masters, edit masters, and no transfers

Usage: Validate the contents preservation master sheet against the ingest business rules

import ami_md.ami_excel

excel_file = ami_md.ami_excel("path/to/excel.xlsx")
excel_file.pres_sheet.validate_worksheet()

ami_md.ami_json

Methods for loading and manipulating AMI JSON data.

Usage: Convert a valid AMI JSON file to a flat key-value dict

import ami_md.ami_json

json_file = ami_md.ami_json(filepath = "path/to/file.json")
new_dict = json_file.convert_nestedDictToDotKey(json_file)

ami_md.ami_md_constants

Constants used for validating, normalizing, and enhancing metadata, mostly through methods in ami_excel.

Shell scripts

The package also includes a handful of scripts for utility functions. To install these scripts, users should chmod +x and create an appropriate alias for each script.

bin/collect_metadata.sh

Copy xlsx and json from bags to a another directory for manipulation and analysis

validate_bags.sh

Validate a directory of bags after network transfer (superseded by validate_ami_bags.py)

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