Bulk Import (module for Omeka S)

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Bulk Import is a module for Omeka S that allows to import any type of source and is built to be extensible. It allows to manage importers and to process bulk import of resources.

The import process is done in three steps:

read a source, that can be a file, a endpoint, a url, or a list of urls or files. The content can be xml, json, sql, or spreadsheet.
map source content into omeka content via a mapping, that can be manual, automatic or pre-configured. The mapping can be stored to be replayed later.
process an action, that can be creation or update, in various modes into various resources (items, medias, item sets, assets, etc.).

Because multiple importers can be prepared with the same readers, mappings and processors, it is possible to import multiple times the same type of files without needing to do the mapping each time.

Default importers are:

xml METS and EAD
json from IIIF or from Content-DM
sql
spreadsheets (csv, tsv, ods)
Omeka Classic
Omeka S

Installation

This module requires the modules Log and Common. An external xslt 2 processor may be needed if you import xml files that are not importable with xlt 1. Some specific readers or processors may need some other modules.

Since 3.4.39, the module requires php 7.4.

Warning: Some parts of this module may not support use of remote files: only files saved locally on the server may be managed.

Important: If you use the module CSV Import in parallel, you should use a version equal or greater than 2.3.0.

Important: If you use the module Numeric Data Types, you should apply this patch or use this version. This patch is no more needed since version 4.1.

See general end user documentation for installing a module.

From the zip

Download the last release BulkImport.zip from the list of releases, and uncompress it in the modules directory.

From the source and for development

If the module was installed from the source, rename the name of the folder of the module to BulkImport, go to the root of the module, and run:

composer install --no-dev

Note: the library "CodeMirror" has no file "codemirror.js" by default: it is created automatically when installing packages with npm. To use it via composer, the zip file from codemirror.net (v5) is used.

Then install it like any other Omeka module.

Files extensions

For security reasons, the module checks the extension of each ingested file. So, if you import specific files, in particular XML metadata files and json ones, they should be allowed in the page /admin/setting.

XSLT processor

The xslt processor is only needed to import xml files that are not formatted as flat ressources.

Xslt has two main versions: xslt 1.0 and xslt 2.0. The first is often installed with php via the extension php-xsl or the package php5-xsl, depending on your system. It is until ten times slower than xslt 2.0 and sheets are more complex to write.

So it’s recommended to install an xslt 2 processor, that can process xslt 1.0 and xslt 2.0 sheets and generally xslt 3.0 too.

To intall xslt 2 on Debian / Ubuntu :

sudo apt install --reinstall default-jre libsaxonhe-java

Then, the command can be configured in the configuration page of the module. Use "%1$s", "%2$s", "%3$s", without escape, for the file input, the stylesheet, and the output.

Examples for Debian 6+ / Ubuntu / Mint (with the package "libsaxonb-java"):

saxonb-xslt -ext:on -versionmsg:off -warnings:silent -s:%1$s -xsl:%2$s -o:%3$s

Examples for Debian 8+ / Ubuntu / Mint (with the package "libsaxonhe-java"):

CLASSPATH=/usr/share/java/Saxon-HE.jar java net.sf.saxon.Transform -ext:on -versionmsg:off -warnings:silent -s:%1$s -xsl:%2$s -o:%3$s

Example for Fedora / RedHat / Centos / Mandriva / Mageia (package "saxon"):

java -cp /usr/share/java/saxon.jar net.sf.saxon.Transform -ext:on -versionmsg:off -warnings:silent -s:%1$s -xsl:%2$s -o:%3$s

Or with packages "saxon", "saxon-scripts", "xml-commons-apis" and "xerces-j2":

saxon -ext:on -versionmsg:off -warnings:silent -s:%1$s -xsl:%2$s -o:%3$s

Note: Only saxon is currently supported as xslt 2 processor. Because Saxon is a Java tool, a JRE should be installed, for example openjdk-11-jre-headless or upper (or use default-jre).

Note: Warnings are processed as errors. That’s why the parameter "-warnings:silent" is important to be able to process an import with a bad xsl sheet. It can be removed with default xsl, that doesn’t warn anything.

Anyway, if there is no xslt2 processor installed, the command field should be cleared. The module will use the default xslt 1 processor of php, if installed.

Usage

Quick start

Click on menu Bulk Import > Dashboard, then click on one importer, then fill the two forms, and finally confirm the import.

To add, remove or config importers, you can go to menu Bulk Import > Configuration. An importer is a reader and a processor.

Some readers can use a mapping, in particular json and xml. It allows to map data between the source and the omeka json representation of resources.

The config can be selected in the first form. New config can be added in the directory "data/mapping" of the module (default ones) or in the directory "files/mapping" of Omeka (user ones, deprecated: use config files preferably). They can be edited online in the menu "Mappings" too.

Config files

The config contains four sections.

The first section is info, that defines the name and the label of the config. An important key is mapper, that can be set to use as the base of the current config. This generic mapper is available from the directory mapper of the module.

The second section is params, that allows to define some params, like how to identify the root of the resources, or the fields of each resource. See the example used to migrate a digital library from Content-DM. For this last, the url should be the full one, like https://cdm21057.contentdm.oclc.org/digital/api/search/collection/coll3/maxRecords/100.

The third section is default and defines default metadata of the resources, like the resource class or the template.

The fourth section is mapping and contains all the source fields that should be imported and all the details about the destination field (properties or other metadata).

Config of the mappings

The config contains a list of mappings between source data and destination data. Mapping can be done in two formats: key-value pair or xml.

For example:

/record/datafield[@tag='200'][@ind1='1']/subfield[@code='a'] = dcterms:title ^^literal @fra §private ~ pattern for {{ value|trim }} with {{/source/record/data}}

For xml, the same mapping is like that:

<mapping>
    <map>
        <from xpath="/record/datafield[@tag='200'][@ind1='1']/subfield[@code='a']"/>
        <to field="dcterms:title" datatype="literal" language="fra" visibility="private"/>
        <mod raw="" prepend="pattern for " pattern="{{ value|trim }} with {{/source/record/data}}" append=""/>
    </map>
</mapping>

The xml format is clearer, but the key-value pair can be used anywhere, included the headers of a spreadsheet.

Key-value pair notation

Each line is formatted with a source and a destination separated with the sign =. The format of each part (left and right of the =) of each line is checked in a first step and is skipped if incorrect.

The source part can be specified in three ways: javascript dot notation, JsonPath, JMESPath, or XPath (see below).

The destination part has one till five components and only the first is required.

The first must be the destination field. The field is one of the key used in the json representation of a resource, generally a property, but other metadata too (o:resource_template, etc.). It can be a sub-field too, in particular to specify related resources when importing an item: o:media[o:original_url], o:media[o:ingester], or o:item_set[dcterms:identifier].

The next three components are specific to properties and can occur in any order and are prefixed with a code, similar to some rdf representations:

the data type is prefixed with a ^^: ^^resource:item or ^^customvocab:5;
the language is prefixed with a @: @fra or @fr-FR;
the visibility is prefixed with a §: §private or §public.

The last component is a pattern used to transform the source value when needed. It is prefixed with a ~. It can be a simple replacement string, or a complex pattern with some Twig commands (see below).

For default values, the right part may be a simple string starting and ending with a simple or double quotes, in which case the left part is the destination. Next three lines are equivalent:

dcterms:license = dcterms:license ^^literal ~ "Public domain"
~ = dcterms:license ^^literal ~ "Public domain"
dcterms:license = ^^literal ~ "Public domain"
dcterms:license = "Public domain"

xml mapping

The example above is clear and contains main elements and attributes. See the example mapping for Unimarc.

Le format Xml allows too to specify mapping tables for codes, for example to convert an iso code to a literal.

Defining the source of the value

Four formats are supported, the first three for a json endpoint, and the last for an xml source:

Javascript dot object notation: The source is set nearly like a javascript with dot notation (even invalid): dcterms:title.0.value. . and \ must be escaped with a \.
JsonPath: This is a port of XPath for json: $.['dcterms:title'][0].['@value'], and it can manage a lot of expressions, filters, functions, etc.
JMESPath: This is another port of xpath for json: "dcterms:title"[0]"@value", and it can manage a lot of expressions, filters, functions, etc. JMESPath is similar to the original idea for a JsonPath, but they are not compatible themselves.
XPath: it can use any standard XPath: /record/datafield[@tag='200'][@ind1='1']/subfield[@code='a'] when the source is xml.

Defining the transformation (raw value, prepend/append, replacements)

If you need to alter the source value and format it differently, you can use some patterns.

A simple replacement string is a pattern with some replacement values:

geonameId = dcterms:identifier ^^uri ~ https://www.geonames.org/{{ value }}

The available replacement patterns are:

the current source value {{ value }}
any source query {{xxx}}, for example a xpath {{/doc/str[@name="ppn_z"]}}.

{{ value }} and {{value}} are not the same: the first is the current value extracted from the source part and the second is the key used to extract the value with the key value from a source array.

For complex transformation, the pattern may be build as a simplified Twig one: this is a string where the values between {{ and }} are converted with some basic filters. For example, {{ value|trim }} takes the value from the source and trims it. The space after {{ and before }} is required. Only some common Twig filters are supported: abs, capitalize, date, e, escape, first, format, last, length, lower, replace, slice, split, striptags, table, title, trim, upper, url_encode. Only some common arguments of these filters are supported. Twig filters can be combined, but not nested.

An example of the use of the filters is the renormalization of a date, here from a xml unimarc source 17890804 into a standard ISO 8601 numeric date time 1789-08-04:

/record/datafield[@tag="103"]/subfield[@code="b"] = dcterms:valid ^^numeric:timestamp ~ {{ value|trim|slice(1,4) }}-{{ value|trim|slice(5,2) }}-{{ value|trim|slice(7,2) }}

Note that in that case of such a date, a simpler function can be used. Indeed, some specific functions are added: table, to replace a code with a string, dateIso, dateSql, isbdName, isbdNameColl, isbdMark, unimarcIndex, unimarcCoordinates, unimarcCoordinatesHexa, unimarcTimeHexa.

To see a full example, look to the file that manage Unimarc conversion to Omeka. Note that this file will be improved soon to manage value annotations, an important improvement for Omeka 3.2.

The Twig filters can be used in conjunction with simple replacements. In that case, they are processed after the replacements.

The source can be ~ too, in which case the destination is a composite of multiple sources:

~ = dcterms:spatial ~ Coordinates: {{lat}}/{{lng}}

Here, {{lat}} and {{lng}} are values extracted from the source.

The prefix ~ must not be used in other components or in the left part for now.

Of course, in many cases, it is simpler to fix the values in the source or later in the resources with the batch edit or with the module Bulk Edit.

E-prints

e-prints is a tool to build institutional repository (research articles, student works, learning resources, etc.). It is one of the oldest free digital libraries that support the OAI-PMH protocol. Because Omeka S can be OAI-PMH repository, it is possible to upgrade to it. The process uses the sql database in order to fetch all metadata.

Simply select the sql reader and the eprints processor, then follow the forms.

This importer is no more available for now.

Omeka S

Simply set the endpoint and eventually the credentials and run it. All data can be fetched: vocabularies, resource templates, assets and of course items, item sets and media. Custom vocabs are imported too. It is recommended to have the same modules installed, in particular those that add new data types (Value Suggest, Numeric Data Types, Rdf Data Types, Data Type Geometry). Specific metadata of other modules are currently not managed.

Spip

The direct import from Spip was removed in version 3.4.55.

Spreadsheet

To import a spreadsheet, choose its format and the multivalue separator if any. Then do the mapping. The mapping is automatic when the header are properties labels or terms, or Omeka metadata names, or existing keywords.

When importing an ODS file with formulas, try to set string or general as the default format of cells to avoid an issue when a formula returns a string, but the format requires something else, for example a float, in which case an empty string will be returned as 0 during import even if it is not displayed in some spreadheets.

More largely, it's not recommended to use formulas and formatted cells, since it is not possible to be sure what are the actual data (the real ones or the displayed ones?). Even if it is well managed in most of the cases, this is particularly important for dates, because they are often different between publishers and even between versions of the spreadsheets too. Some versions of Excel on Apple does not display the same dates than the equivalent versions for Windows. You can do select all cells (ctrl + A), then copy (ctrl + C), then special paste (ctrl + shift + V), then choose "Values only", and save it in another file (or do copy on a new sheet), else you will lose previous formulas, styles and formats.

Unlike CSV Import, there is no UI mapper except for the properties, but it manages advanced headers names to manage data types, languages and visibility automatically, so it is recommended to use them, for example dcterms:title ^^resource:item @fra §private. The format is the same than described above for the destination.

Furthermore, there is a configurable automatic mapping in data/mappings/fields_to_metadata.php, and labels and names of standard property terms are already managed.

So the header of each column can have a data type (with ^^datatype), a language (with @language), and a visibility (with §private). Furthermore, a pattern (prefixed with ~) can be appended to transform the value.

For example to import a French title, use header Title @fra or dcterms:title @fr.

To import a relation as an uri, use header Relation ^^uri or dcterms:relation ^^uri. To import an uri with a label, the header is the same, but the value should be the uri, a space and the label. To import a value as an Omeka resource, use header dcterms:relation ^^resource. The value should be the internal id (recommended) or a resource identifier (generally dcterms:identifier), but it should be unique in all the database. To import a custom vocab value, the header should contain ^^customvocab:xxx, where "xxx" is the identifier of the vocab recommended or its label wrapped with " or '.

Default supported datatypes are the ones managed by Omeka:

literal (default)
uri
resource
resource:item
resource:itemset
resource:media

Datatypes of other modules are supported too (Custom Vocab, Value Suggest, DataTypeRdf, Numeric Data Types) if modules are present:

numeric:timestamp
numeric:integer
numeric:duration
geography
geometry
customvocab:xxx
valuesuggest:yyy
html
xml
boolean

The prefixes can be omitted when they are simple: item, itemset, media, timestamp, integer, duration, geography, geometry.

Multiple datatypes can be set for one column: dcterms:relation ^^customvocab:15 ^^resource:item ^^resource ^^literal. The datatype is checked for each value and if it is not valid, the next datatype is tried. It is useful when some data are normalized and some not, for example with a list of dates or subjects: dcterms:date ^^numeric:timestamp ^^literal, or dcterms:subject ^^valuesuggest:idref:rameau ^^literal.

To import multiple target destination for a column, use the separator | in the header. Note that if there may be multiple properties, only the first language and type will be used for now: dcterms:creator ^^resource:item ^^literal | foaf:name.

The visibility of each data can be "public" (default) or "private", prefixed by §.

Media can be imported with the item. The mapping is automatic with headers Media url, Media html, etc.

For more details about the possible values, see the config above.

Internal differences with Csv Import

Two columns with the same headers should be mapped the same.
Empty values for boolean metadata (is_public…) in spreadsheet reader are skipped and they don't mean "false" or "true".
In case of insensitive duplicate, the first one is always returned.

TODO

See todo in code.
Add more tests.
Full dry-run.
Extract list of metadata names during dry-run and output it to help building mapping.
Fix numeric data type (doctrine issue): see fix in omeka-s-modules/NumericDataTypes#29.
Distinction between "skipped" and "blank" for spreadsheet.
Update for module Mapping.
Import of users, in particular for Omeka S import.
Import of uri with label in spreadsheet.
Import of uri with label in value suggest.
Skip import of vocabularies and resource templates for Omeka S import.
Allow to set a query for Omeka S import.
Add check, in particular with multi-sheets.
Manage import of Custom vocab with items.
[-] Why are there 752 missing ids with direct sql creation in Spip?
[-] Spip: Utiliser la langue de la rubrique supérieure si pas de langue.
Use metaMapper() for sql imports (so convert special processors) or convert rows early (like spreadsheets).
For sql import, use a direct sql query when mapping is table to table (like eprints statistics).
Convert specific importer into standard resource processor + pattern.
Deprecate all direct converters that don't use metaMapper() (so upgrade spreadsheet process).
Count of skipping or empty rows is different during check and real process.
Check default item set, template and class (they may be not set during creation or update or replace via spreadsheet).
Check a resource with o:item_set[dcterms:title].
Add action "error" for unidentified resources.
Divide option "allow duplicate" as "allow missing" and "allow duplicate"?
Add import multiple xml files like json.
Show details for mappings: add list of used configuration as importer and as parent/child.
Add automatic determination of the source (csv, file, iiif, multiple iiif, omeka classic, etc.).
Replace internal jsdot by RoNoLo/json-query or binary-cube/dot-array or jasny/dotkey? Probably useless.
Compile jmespath.
Import/update value annotations.
Remove importeds when resource is removed.
Output a one-based index in Entry.
Move option "convert into html" somewhere else.
Normalize config of metadata extraction with metamapper.
Add an automatic mapping for images etc. with xmp.
Manage import params and params.
Rename "params" by "settings" ("settings" is used job, etc.)?
Implement possibility to select identifier names by column (see old target_data).
Reimplement multiple columns for media when importing items, so possibility to set title, etc. for each media in the same line (see old appendRelated()).
Improve global setting for extraction of metadata in manual item edit and in import settings form.

Warning

Use it at your own risk.

It’s always recommended to backup your files and your databases and to check your archives regularly so you can roll back if needed.

Troubleshooting

See online issues on the module issues page on GitLab.

License

Module

This module is published under the CeCILL v2.1 license, compatible with GNU/GPL and approved by FSF and OSI.

This software is governed by the CeCILL license under French law and abiding by the rules of distribution of free software. You can use, modify and/ or redistribute the software under the terms of the CeCILL license as circulated by CEA, CNRS and INRIA at the following URL "http://www.cecill.info".

As a counterpart to the access to the source code and rights to copy, modify and redistribute granted by the license, users are provided only with a limited warranty and the software’s author, the holder of the economic rights, and the successive licensors have only limited liability.

In this respect, the user’s attention is drawn to the risks associated with loading, using, modifying and/or developing or reproducing the software by the user in light of its specific status of free software, that may mean that it is complicated to manipulate, and that also therefore means that it is reserved for developers and experienced professionals having in-depth computer knowledge. Users are therefore encouraged to load and test the software’s suitability as regards their requirements in conditions enabling the security of their systems and/or data to be ensured and, more generally, to use and operate it in the same conditions as regards security.

The fact that you are presently reading this means that you have had knowledge of the CeCILL license and that you accept its terms.

Libraries

Flow.js / Flow php server

License MIT
CodeMirror

License MIT

See licenses of other libraries in composer.json.

Data

Table of countries and languages:
- https://www.iso.org/obp/ui/
- https://download.geonames.org/export/dump/countryInfo.txt

Copyright

Copyright Roy Rosenzweig Center for History and New Media, 2015-2018
Copyright (c) 2001-2019, Arnaud Martin, Antoine Pitrou, Philippe Rivière, Emmanuel Saint-James (code from Spip)
Copyright 2011-2022, Steffen Fagerström Christensen & alii (libraries Flow.js and flow-php-server)

This module was initially inspired by the Omeka Classic Import plugin, built by BibLibre and has been built for the future digital library [Manioc] of the Université des Antilles and Université de la Guyane, currently managed with [Greenstone]. Some other features were built for the future digital library [Le Menestrel] and for the institutional repository of student works [Dante] of the [Université de Toulouse Jean-Jaurès].

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README.md

README.md

Bulk Import (module for Omeka S)

Installation

Usage

Quick start

Config files

Config of the mappings

Key-value pair notation

xml mapping

Defining the source of the value

Defining the transformation (raw value, prepend/append, replacements)

E-prints

Omeka S

Spip

Spreadsheet

Internal differences with Csv Import

TODO

Warning

Troubleshooting

License

Module

Libraries

Data

Copyright

Files

README.md

Latest commit

History

README.md

File metadata and controls

Bulk Import (module for Omeka S)

Installation

Usage

Quick start

Config files

Config of the mappings

Key-value pair notation

xml mapping

Defining the source of the value

Defining the transformation (raw value, prepend/append, replacements)

E-prints

Omeka S

Spip

Spreadsheet

Internal differences with Csv Import

TODO

Warning

Troubleshooting

License

Module

Libraries

Data

Copyright