Restructure documentation

Signed-off-by: Roberto Rosario <roberto.rosario@mayan-edms.com>
This commit is contained in:
Roberto Rosario
2019-11-29 14:25:11 -04:00
parent 5493c33257
commit c9be1bccd2
180 changed files with 1663 additions and 2176 deletions

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==============
Index examples
==============
Index of document types
=======================
.. admonition:: Permissions required
:class: warning
- The "Create new document indexes" permission is required for this action.
- The "Edit document indexes" permission is required for this action, globally
of via an ACL for a document index.
- The "Edit document types" permission is required for this action, globally
of via an ACL for a document type.
This index will create one level for each document type in the system and place
links to the document of each respective type.
#. Go to the :menuselection:`System --> Setup --> Indexes` menu.
#. Create a new index using :guilabel:`Actions` > :guilabel:`Create new`.
#. Give it a label to describe it, and an internal name. The internal name is
used when referencing this index in other parts of the system.
#. Press the :guilabel:`Template` link of the newly created index.
#. Select :guilabel:`New child node` to create a new level in which the
following template code will be entered.
::
{{ document.document_type }}
#. Save the template.
#. Click on :guilabel:`Document types` and associate this index with
existing document types in the system.
#. Finally go to :menuselection:`Tools --> Rebuild indexes` to execute the
index template. The rebuild process is only necessary when changes are
made to the index templates. Otherwise they update automatically whenever
a new document is uploaded or existing documents properties are modified.
#. A new index should appear under :menuselection:`Indexes` menu.
You can also program different behavior based on the different document types,
by use a comparison and a conditional statement. As the document_type itself
is not a string you cannot directly use that for that comparison. You will have
to use the label of the document type.
For example::
{% if document.document_type.label == "Invoice" or document.document_type.label == "Letter" %}
Correspondence
{% else %}
{{ document.document_type }}
{% endif %}
This will create and index level for each document type. Except for documents
of types "Invoice" and "Letter", these will now go into the level "Correspondence".
Index document by department, taken from the first character of the invoice number metadata
===========================================================================================
Requires one index node with the template::
{% if document.metadata_value_of.invoice_number.0 == "A" %}Accounting
{% if document.metadata_value_of.invoice_number.0 == "H" %}Human Resources
{% endif %}
Nested date index from a date contained in a metadata
=====================================================
Assuming the metadata type is named **date_issued** with a date format
of YYYY-MM-DD. The target is to have two levels: one for years and another
sub level for months.
**First level: Year**
::
{{ document.metadata_value_of.date_issued|slice:"0:4" }}
**Second level: Months**
::
{{ document.metadata_value_of.date_issued|slice:"5:7" }}
**Optional: Third level: Day**
::
{{ document.metadata_value_of.date_issued|slice:"8:10" }}
Index by OCR content
====================
This example indexes documents in a "quarterly report" level if they have the
fragment “quarterly report” in the OCR text::
{% if "quarterly report" in document.latest_version.ocr_content|join:" "|lower %}Quarterly reports{% endif %}
The same applies to text content extracted for the document::
{% if "quarterly report" in document.latest_version.content|join:" "|lower %}Quarterly reports{% endif %}
Index documents not found in any cabinet
========================================
::
{% if document.cabinets.count == 0 %}No Cabinets{% endif %}
Index documents not tagged
==========================
::
{% if document.tags.count == 0 %}No Tags{% endif %}
Index documents specifically, by the year of a metadata field otherwise by their uploaded year
==============================================================================================
::
{% for tag in document.tags.all %}{% if tag.label == "Taxes" %}{% if document.metadata_value_of.tax_year|length_is:"4" %}{{ document.metadata_value_of.tax_year }}{% else %}{{ document.date_added|date:"Y" }}{% endif %}{% endif %}{% endfor %}

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.. index:: Indexes
================
Document indexes
================
Document indexes are a multi level structure similar to folder in a filesystem,
however the hierarchy of the levels is automatically created, updated, or deleted
based on rules set by the administrator.
- :doc:`indexes`
- :doc:`examples`
- :doc:`mirroring`
.. toctree::
:hidden:
indexes
mirroring
examples

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===============
Index structure
===============
Indexes are an automatic method to hierarchically organize documents in
relation to their properties (:doc:`../metadata`, label, MIME type,
etc). To use indexes you need to first create an index template. Once created,
associate the index to one or more :doc:`../document_types`.
Index are hierarchical models so a tree template needs to be specified for them.
This tree template will contain references to document metadata or properties
that will be replaced with the actual value for those metadata or properties.
Example:
- Document type: ``Product sheet``
- Metadata type: ``Product year``, associated as a required metadata for the document type ``Product sheet``.
- Index: ``Product sheets per year``, and associated to the document type ``Product sheet``.
- Index slug: ``product-sheets-per-year``. Slugs are internal unique identifiers that can be used by other Mayan EDMS modules to reference each index.
- Index tree template as follows:
.. blockdiag::
blockdiag {
default_shape = roundedbox
span_width = 30;
index [ label = 'Product sheets per year', width=180 ];
root [ label = 'Root (Has document links? No)', width=450];
level_2 [ label = '{{ document.metadata_value_of.product_year }} (Has document links? Yes)', width=450];
group {
label = "Tree template";
color = "#dddddd";
style = dashed;
root; level_2;
}
index -> root
root -> level_2 [folded];
}
Now every time a new ``Product sheet`` is uploaded a hierarchical unit with the value
of the metadata type ``Product year`` is created and a link to the uploaded ``Product sheet`` added to it.
Example:
Suppose three ``Product sheets`` are uploaded with the following values as their
``Product year`` metadata: 2001, 2002, 2001 respectively. The result index
that will be generate based on the tree template would be as follows:
.. blockdiag::
blockdiag {
default_shape = roundedbox
index [ label = 'Product sheets per year', width=180 ];
year_1 [ label = '2001', width = 60 ];
year_2 [ label = '2002', width = 60 ];
document_1 [ label = 'Product A data sheet (2001)', width = 200 ];
document_2 [ label = 'Product B data sheet (2002)', width = 200 ];
document_3 [ label = 'Product C data sheet (2001)', width = 200 ];
group {
label = "Index content";
color = "#dddddd";
style = dashed;
year_1, year_2, document_1, document_2, document_3;
}
index -> year_1;
index -> year_2;
year_1 -> document_1;
year_2 -> document_2;
year_1 -> document_3;
}

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=========
Mirroring
=========
Indexes can be exported as `FUSE <https://en.wikipedia.org/wiki/Filesystem_in_Userspace>`_
filesystems. Using the management command ``mountindex`` we could export the
previous example index as follows::
mkdir -p ~/indexes/products
mayan-edms.py mountindex product-sheets-per-year ~/indexes/products
The ``~/indexes/products`` directory will now have a directory and files structure
identical to that of the index. Once indexes are mounted with this command, they
behave like any other filesystem directory and can even be further shared
via the network with network file system software like
`Samba <https://www.samba.org/>`_ or
`NFS <https://en.wikipedia.org/wiki/Network_File_System>`_.
.. blockdiag::
blockdiag {
orientation = portrait
span_width = 200;
index [ label = 'Product sheets per year', width=180 ];
block_device [ height = 100, label = "Block device\n(Hard drive)", shape = flowchart.database ];
network [ label = "Network", shape = cloud ];
user [ label = "Users", shape = actor ];
index -> block_device [ label = "mirroring", fontsize = 8 ];
block_device -> network -> user;
}
Indexes and mirrored indexes are Read Only as they are generated as a result of
prior activities like document uploads, metadata changes.