mirror of
https://github.com/Codappix/search_core.git
synced 2024-12-26 01:36:09 +01:00
TASK: Allow fields and sorting to contain a condition
This way integrators can configure when the sorting and fields should be added.
This commit is contained in:
parent
d937266bf5
commit
bf91c4a5ba
GPG key ID:
33D6629915560EF4
4 changed files with 266 additions and 163 deletions
|
|
@ -165,7 +165,10 @@ class QueryFactory
|
|||
try {
|
||||
$scriptFields = $this->configuration->get('searching.fields.script_fields');
|
||||
$scriptFields = $this->replaceArrayValuesWithRequestContent($searchRequest, $scriptFields);
|
||||
$query = ArrayUtility::arrayMergeRecursiveOverrule($query, ['script_fields' => $scriptFields]);
|
||||
$scriptFields = $this->filterByCondition($scriptFields);
|
||||
if ($scriptFields !== []) {
|
||||
$query = ArrayUtility::arrayMergeRecursiveOverrule($query, ['script_fields' => $scriptFields]);
|
||||
}
|
||||
} catch (InvalidArgumentException $e) {
|
||||
// Nothing configured
|
||||
}
|
||||
|
|
@ -175,7 +178,10 @@ class QueryFactory
|
|||
{
|
||||
$sorting = $this->configuration->getIfExists('searching.sort') ?: [];
|
||||
$sorting = $this->replaceArrayValuesWithRequestContent($searchRequest, $sorting);
|
||||
$query = ArrayUtility::arrayMergeRecursiveOverrule($query, ['sort' => $sorting]);
|
||||
$sorting = $this->filterByCondition($sorting);
|
||||
if ($sorting !== []) {
|
||||
$query = ArrayUtility::arrayMergeRecursiveOverrule($query, ['sort' => $sorting]);
|
||||
}
|
||||
}
|
||||
|
||||
protected function addFilter(SearchRequestInterface $searchRequest, array &$query)
|
||||
|
|
@ -254,4 +260,19 @@ class QueryFactory
|
|||
|
||||
return $array;
|
||||
}
|
||||
|
||||
protected function filterByCondition(array $entries) : array
|
||||
{
|
||||
$entries = array_filter($entries, function ($entry) {
|
||||
return !array_key_exists('condition', $entry) || (bool) $entry['condition'] === true;
|
||||
});
|
||||
|
||||
foreach ($entries as $key => $entry) {
|
||||
if (array_key_exists('condition', $entry)) {
|
||||
unset($entries[$key]['condition']);
|
||||
}
|
||||
}
|
||||
|
||||
return $entries;
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -29,27 +29,27 @@ The following settings are available. For each setting its documented which conn
|
|||
``host``
|
||||
--------
|
||||
|
||||
Used by: :ref:`Elasticsearch`.
|
||||
Used by: :ref:`Elasticsearch`.
|
||||
|
||||
The host, e.g. ``localhost`` or an IP where the search service is reachable from TYPO3
|
||||
installation.
|
||||
The host, e.g. ``localhost`` or an IP where the search service is reachable from TYPO3
|
||||
installation.
|
||||
|
||||
Example::
|
||||
Example::
|
||||
|
||||
plugin.tx_searchcore.settings.connections.elasticsearch.host = localhost
|
||||
plugin.tx_searchcore.settings.connections.elasticsearch.host = localhost
|
||||
|
||||
.. _port:
|
||||
|
||||
``port``
|
||||
--------
|
||||
|
||||
Used by: :ref:`Elasticsearch`.
|
||||
Used by: :ref:`Elasticsearch`.
|
||||
|
||||
The port where search service is reachable. E.g. default ``9200`` for Elasticsearch.
|
||||
The port where search service is reachable. E.g. default ``9200`` for Elasticsearch.
|
||||
|
||||
Example::
|
||||
Example::
|
||||
|
||||
plugin.tx_searchcore.settings.connections.elasticsearch.port = 9200
|
||||
plugin.tx_searchcore.settings.connections.elasticsearch.port = 9200
|
||||
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -29,18 +29,18 @@ The following settings are available. For each setting its documented which inde
|
|||
rootLineBlacklist
|
||||
-----------------
|
||||
|
||||
Used by: :ref:`TcaIndexer`, :ref:`PagesIndexer`.
|
||||
Used by: :ref:`TcaIndexer`, :ref:`PagesIndexer`.
|
||||
|
||||
Defines a blacklist of page uids. Records below any of these pages, or subpages, are not
|
||||
indexed. This allows you to define areas that should not be indexed.
|
||||
The page attribute *No Search* is also taken into account to prevent indexing records from only one
|
||||
page without recursion.
|
||||
Defines a blacklist of page uids. Records below any of these pages, or subpages, are not
|
||||
indexed. This allows you to define areas that should not be indexed.
|
||||
The page attribute *No Search* is also taken into account to prevent indexing records from only one
|
||||
page without recursion.
|
||||
|
||||
Contains a comma separated list of page uids. Spaces are trimmed.
|
||||
Contains a comma separated list of page uids. Spaces are trimmed.
|
||||
|
||||
Example::
|
||||
Example::
|
||||
|
||||
plugin.tx_searchcore.settings.indexing.<identifier>.rootLineBlacklist = 3, 10, 100
|
||||
plugin.tx_searchcore.settings.indexing.<identifier>.rootLineBlacklist = 3, 10, 100
|
||||
|
||||
Also it's possible to define some behaviour for the different document types. In context of TYPO3
|
||||
tables are used as document types 1:1. It's possible to configure different tables. The following
|
||||
|
|
@ -51,156 +51,156 @@ options are available:
|
|||
additionalWhereClause
|
||||
---------------------
|
||||
|
||||
Used by: :ref:`TcaIndexer`, :ref:`PagesIndexer`.
|
||||
Used by: :ref:`TcaIndexer`, :ref:`PagesIndexer`.
|
||||
|
||||
Add additional SQL to where clauses to determine indexable records from the table. This way you
|
||||
can exclude specific records like ``tt_content`` records with specific ``CType`` values or
|
||||
something else. E.g. you can add a new field to the table to exclude records from indexing.
|
||||
Add additional SQL to where clauses to determine indexable records from the table. This way you
|
||||
can exclude specific records like ``tt_content`` records with specific ``CType`` values or
|
||||
something else. E.g. you can add a new field to the table to exclude records from indexing.
|
||||
|
||||
Example::
|
||||
Example::
|
||||
|
||||
plugin.tx_searchcore.settings.indexing.<identifier>.additionalWhereClause = tt_content.CType NOT IN ('gridelements_pi1', 'list', 'div', 'menu')
|
||||
plugin.tx_searchcore.settings.indexing.<identifier>.additionalWhereClause = tt_content.CType NOT IN ('gridelements_pi1', 'list', 'div', 'menu')
|
||||
|
||||
.. attention::
|
||||
.. attention::
|
||||
|
||||
Make sure to prefix all fields with the corresponding table name. The selection from
|
||||
database will contain joins and can lead to SQL errors if a field exists in multiple tables.
|
||||
Make sure to prefix all fields with the corresponding table name. The selection from
|
||||
database will contain joins and can lead to SQL errors if a field exists in multiple tables.
|
||||
|
||||
.. _abstractFields:
|
||||
|
||||
abstractFields
|
||||
--------------
|
||||
|
||||
Used by: :ref:`PagesIndexer`.
|
||||
Used by: :ref:`PagesIndexer`.
|
||||
|
||||
Define which field should be used to provide the auto generated field "search_abstract".
|
||||
The fields have to exist in the record to be indexed. Therefore fields like ``content`` are also
|
||||
possible.
|
||||
Define which field should be used to provide the auto generated field "search_abstract".
|
||||
The fields have to exist in the record to be indexed. Therefore fields like ``content`` are also
|
||||
possible.
|
||||
|
||||
Example::
|
||||
Example::
|
||||
|
||||
# As last fallback we use the content of the page
|
||||
plugin.tx_searchcore.settings.indexing.<identifier>.abstractFields := addToList(content)
|
||||
# As last fallback we use the content of the page
|
||||
plugin.tx_searchcore.settings.indexing.<identifier>.abstractFields := addToList(content)
|
||||
|
||||
Default::
|
||||
Default::
|
||||
|
||||
abstract, description, bodytext
|
||||
abstract, description, bodytext
|
||||
|
||||
.. _mapping:
|
||||
|
||||
mapping
|
||||
-------
|
||||
|
||||
Used by: Elasticsearch connection while indexing.
|
||||
Used by: Elasticsearch connection while indexing.
|
||||
|
||||
Define mapping for Elasticsearch, have a look at the official docs: https://www.elastic.co/guide/en/elasticsearch/reference/5.2/mapping.html
|
||||
You are able to define the mapping for each property / columns.
|
||||
Define mapping for Elasticsearch, have a look at the official docs: https://www.elastic.co/guide/en/elasticsearch/reference/5.2/mapping.html
|
||||
You are able to define the mapping for each property / columns.
|
||||
|
||||
Example::
|
||||
Example::
|
||||
|
||||
plugin.tx_searchcore.settings.indexing.tt_content.mapping {
|
||||
CType {
|
||||
type = keyword
|
||||
}
|
||||
plugin.tx_searchcore.settings.indexing.tt_content.mapping {
|
||||
CType {
|
||||
type = keyword
|
||||
}
|
||||
}
|
||||
|
||||
The above example will define the ``CType`` field of ``tt_content`` as ``type: keyword``. This
|
||||
makes building a facet possible.
|
||||
The above example will define the ``CType`` field of ``tt_content`` as ``type: keyword``. This
|
||||
makes building a facet possible.
|
||||
|
||||
.. _index:
|
||||
|
||||
index
|
||||
-----
|
||||
|
||||
Used by: Elasticsearch connection while indexing.
|
||||
Used by: Elasticsearch connection while indexing.
|
||||
|
||||
Define index for Elasticsearch, have a look at the official docs: https://www.elastic.co/guide/en/elasticsearch/reference/5.2/indices-create-index.html
|
||||
Define index for Elasticsearch, have a look at the official docs: https://www.elastic.co/guide/en/elasticsearch/reference/5.2/indices-create-index.html
|
||||
|
||||
Example::
|
||||
Example::
|
||||
|
||||
plugin.tx_searchcore.settings.indexing.tt_content.index {
|
||||
analysis {
|
||||
analyzer {
|
||||
ngram4 {
|
||||
type = custom
|
||||
tokenizer = ngram4
|
||||
char_filter = html_strip
|
||||
filter = lowercase, asciifolding
|
||||
}
|
||||
plugin.tx_searchcore.settings.indexing.tt_content.index {
|
||||
analysis {
|
||||
analyzer {
|
||||
ngram4 {
|
||||
type = custom
|
||||
tokenizer = ngram4
|
||||
char_filter = html_strip
|
||||
filter = lowercase, asciifolding
|
||||
}
|
||||
}
|
||||
|
||||
tokenizer {
|
||||
ngram4 {
|
||||
type = ngram
|
||||
min_gram = 4
|
||||
max_gram = 4
|
||||
}
|
||||
tokenizer {
|
||||
ngram4 {
|
||||
type = ngram
|
||||
min_gram = 4
|
||||
max_gram = 4
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
``char_filter`` and ``filter`` are a comma separated list of options.
|
||||
``char_filter`` and ``filter`` are a comma separated list of options.
|
||||
|
||||
.. _dataProcessing:
|
||||
|
||||
dataProcessing
|
||||
--------------
|
||||
|
||||
Used by: All connections while indexing.
|
||||
Used by: All connections while indexing.
|
||||
|
||||
Configure modifications on each document before sending it to the configured connection. Same as
|
||||
provided by TYPO3 for :ref:`t3tsref:cobj-fluidtemplate` through
|
||||
:ref:`t3tsref:cobj-fluidtemplate-properties-dataprocessing`.
|
||||
Configure modifications on each document before sending it to the configured connection. Same as
|
||||
provided by TYPO3 for :ref:`t3tsref:cobj-fluidtemplate` through
|
||||
:ref:`t3tsref:cobj-fluidtemplate-properties-dataprocessing`.
|
||||
|
||||
All processors are applied in configured order. Allowing to work with already processed data.
|
||||
All processors are applied in configured order. Allowing to work with already processed data.
|
||||
|
||||
Example::
|
||||
Example::
|
||||
|
||||
plugin.tx_searchcore.settings.indexing.tt_content.dataProcessing {
|
||||
1 = Codappix\SearchCore\DataProcessing\CopyToProcessor
|
||||
1 {
|
||||
to = search_spellcheck
|
||||
}
|
||||
|
||||
2 = Codappix\SearchCore\DataProcessing\CopyToProcessor
|
||||
2 {
|
||||
to = search_all
|
||||
}
|
||||
plugin.tx_searchcore.settings.indexing.tt_content.dataProcessing {
|
||||
1 = Codappix\SearchCore\DataProcessing\CopyToProcessor
|
||||
1 {
|
||||
to = search_spellcheck
|
||||
}
|
||||
|
||||
The above example will copy all existing fields to the field ``search_spellcheck``. Afterwards
|
||||
all fields, including ``search_spellcheck`` will be copied to ``search_all``.
|
||||
E.g. used to index all information into a field for :ref:`spellchecking` or searching with
|
||||
different :ref:`mapping`.
|
||||
2 = Codappix\SearchCore\DataProcessing\CopyToProcessor
|
||||
2 {
|
||||
to = search_all
|
||||
}
|
||||
}
|
||||
|
||||
The following Processor are available:
|
||||
The above example will copy all existing fields to the field ``search_spellcheck``. Afterwards
|
||||
all fields, including ``search_spellcheck`` will be copied to ``search_all``.
|
||||
E.g. used to index all information into a field for :ref:`spellchecking` or searching with
|
||||
different :ref:`mapping`.
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 1
|
||||
:glob:
|
||||
The following Processor are available:
|
||||
|
||||
dataProcessing/CopyToProcessor
|
||||
dataProcessing/GeoPointProcessor
|
||||
.. toctree::
|
||||
:maxdepth: 1
|
||||
:glob:
|
||||
|
||||
The following Processor are planned:
|
||||
dataProcessing/CopyToProcessor
|
||||
dataProcessing/GeoPointProcessor
|
||||
|
||||
``Codappix\SearchCore\DataProcessing\ReplaceProcessor``
|
||||
Will execute a search and replace on configured fields.
|
||||
The following Processor are planned:
|
||||
|
||||
``Codappix\SearchCore\DataProcessing\RootLevelProcessor``
|
||||
Will attach the root level to the record.
|
||||
``Codappix\SearchCore\DataProcessing\ReplaceProcessor``
|
||||
Will execute a search and replace on configured fields.
|
||||
|
||||
``Codappix\SearchCore\DataProcessing\ChannelProcessor``
|
||||
Will add a configurable channel to the record, e.g. if you have different areas in your
|
||||
website like "products" and "infos".
|
||||
``Codappix\SearchCore\DataProcessing\RootLevelProcessor``
|
||||
Will attach the root level to the record.
|
||||
|
||||
``Codappix\SearchCore\DataProcessing\RelationResolverProcessor``
|
||||
Resolves all relations using the TCA.
|
||||
``Codappix\SearchCore\DataProcessing\ChannelProcessor``
|
||||
Will add a configurable channel to the record, e.g. if you have different areas in your
|
||||
website like "products" and "infos".
|
||||
|
||||
Of course you are able to provide further processors. Just implement
|
||||
``Codappix\SearchCore\DataProcessing\ProcessorInterface`` and use the FQCN (=Fully qualified
|
||||
class name) as done in the examples above.
|
||||
``Codappix\SearchCore\DataProcessing\RelationResolverProcessor``
|
||||
Resolves all relations using the TCA.
|
||||
|
||||
By implementing also the same interface as necessary for TYPO3
|
||||
:ref:`t3tsref:cobj-fluidtemplate-properties-dataprocessing`, you are able to reuse the same code
|
||||
also for Fluid to prepare the same record fetched from DB for your fluid.
|
||||
Of course you are able to provide further processors. Just implement
|
||||
``Codappix\SearchCore\DataProcessing\ProcessorInterface`` and use the FQCN (=Fully qualified
|
||||
class name) as done in the examples above.
|
||||
|
||||
By implementing also the same interface as necessary for TYPO3
|
||||
:ref:`t3tsref:cobj-fluidtemplate-properties-dataprocessing`, you are able to reuse the same code
|
||||
also for Fluid to prepare the same record fetched from DB for your fluid.
|
||||
|
|
|
|||
|
|
@ -8,118 +8,200 @@ Searching
|
|||
size
|
||||
----
|
||||
|
||||
Used by: Elasticsearch connection while building search query.
|
||||
Used by: Elasticsearch connection while building search query.
|
||||
|
||||
Defined how many search results should be fetched to be available in search result.
|
||||
Defined how many search results should be fetched to be available in search result.
|
||||
|
||||
Example::
|
||||
Example::
|
||||
|
||||
plugin.tx_searchcore.settings.searching.size = 50
|
||||
plugin.tx_searchcore.settings.searching.size = 50
|
||||
|
||||
Default if not configured is 10.
|
||||
Default if not configured is 10.
|
||||
|
||||
.. _facets:
|
||||
|
||||
facets
|
||||
------
|
||||
|
||||
Used by: Elasticsearch connection while building search query.
|
||||
Used by: Elasticsearch connection while building search query.
|
||||
|
||||
Define aggregations for Elasticsearch, have a look at the official docs: https://www.elastic.co/guide/en/elasticsearch/reference/5.2/search-aggregations-bucket-terms-aggregation.html
|
||||
Currently only the term facet is provided.
|
||||
Define aggregations for Elasticsearch, have a look at the official docs: https://www.elastic.co/guide/en/elasticsearch/reference/5.2/search-aggregations-bucket-terms-aggregation.html
|
||||
Currently only the term facet is provided.
|
||||
|
||||
Example::
|
||||
Example::
|
||||
|
||||
plugin.tx_searchcore.settings.searching.facets {
|
||||
contentTypes {
|
||||
field = CType
|
||||
}
|
||||
plugin.tx_searchcore.settings.searching.facets {
|
||||
contentTypes {
|
||||
field = CType
|
||||
}
|
||||
}
|
||||
|
||||
The above example will provide a facet with options for all found ``CType`` results together
|
||||
with a count.
|
||||
The above example will provide a facet with options for all found ``CType`` results together
|
||||
with a count.
|
||||
|
||||
.. _filter:
|
||||
|
||||
``filter``
|
||||
"""""""""""
|
||||
filter
|
||||
------
|
||||
|
||||
Used by: While building search request.
|
||||
Used by: While building search request.
|
||||
|
||||
Define filter that should be set for all requests.
|
||||
Define filter that should be set for all requests.
|
||||
|
||||
Example::
|
||||
Example::
|
||||
|
||||
plugin.tx_searchcore.settings.searching.filter {
|
||||
property = value
|
||||
}
|
||||
plugin.tx_searchcore.settings.searching.filter {
|
||||
property = value
|
||||
}
|
||||
|
||||
For Elasticsearch the fields have to be filterable, e.g. need a mapping as ``keyword``.
|
||||
For Elasticsearch the fields have to be filterable, e.g. need a mapping as ``keyword``.
|
||||
|
||||
.. _minimumShouldMatch:
|
||||
|
||||
minimumShouldMatch
|
||||
------------------
|
||||
|
||||
Used by: Elasticsearch connection while building search query.
|
||||
Used by: Elasticsearch connection while building search query.
|
||||
|
||||
Define the minimum match for Elasticsearch, have a look at the official docs: https://www.elastic.co/guide/en/elasticsearch/reference/5.2/query-dsl-minimum-should-match.html
|
||||
Define the minimum match for Elasticsearch, have a look at the official docs: https://www.elastic.co/guide/en/elasticsearch/reference/5.2/query-dsl-minimum-should-match.html
|
||||
|
||||
Example::
|
||||
Example::
|
||||
|
||||
plugin.tx_searchcore.settings.searching.minimumShouldMatch = 50%
|
||||
plugin.tx_searchcore.settings.searching.minimumShouldMatch = 50%
|
||||
|
||||
.. _boost:
|
||||
|
||||
boost
|
||||
-----
|
||||
|
||||
Used by: Elasticsearch connection while building search query.
|
||||
Used by: Elasticsearch connection while building search query.
|
||||
|
||||
Define fields that should boost the score for results.
|
||||
Define fields that should boost the score for results.
|
||||
|
||||
Example::
|
||||
Example::
|
||||
|
||||
plugin.tx_searchcore.settings.searching.boost {
|
||||
search_title = 3
|
||||
search_abstract = 1.5
|
||||
}
|
||||
plugin.tx_searchcore.settings.searching.boost {
|
||||
search_title = 3
|
||||
search_abstract = 1.5
|
||||
}
|
||||
|
||||
For further information take a look at
|
||||
https://www.elastic.co/guide/en/elasticsearch/guide/2.x/_boosting_query_clauses.html
|
||||
For further information take a look at
|
||||
https://www.elastic.co/guide/en/elasticsearch/guide/2.x/_boosting_query_clauses.html
|
||||
|
||||
.. _fieldValueFactor:
|
||||
|
||||
fieldValueFactor
|
||||
----------------
|
||||
|
||||
Used by: Elasticsearch connection while building search query.
|
||||
Used by: Elasticsearch connection while building search query.
|
||||
|
||||
Define a field to use as a factor for scoring. The configuration is passed through to elastic
|
||||
search ``field_value_factor``, see: https://www.elastic.co/guide/en/elasticsearch/reference/5.2/query-dsl-function-score-query.html#function-field-value-factor
|
||||
Define a field to use as a factor for scoring. The configuration is passed through to elastic
|
||||
search ``field_value_factor``, see: https://www.elastic.co/guide/en/elasticsearch/reference/5.2/query-dsl-function-score-query.html#function-field-value-factor
|
||||
|
||||
Example::
|
||||
Example::
|
||||
|
||||
plugin.tx_searchcore.settings.searching.field_value_factor {
|
||||
field = rootlineLevel
|
||||
modifier = reciprocal
|
||||
factor = 2
|
||||
missing = 1
|
||||
plugin.tx_searchcore.settings.searching.field_value_factor {
|
||||
field = rootlineLevel
|
||||
modifier = reciprocal
|
||||
factor = 2
|
||||
missing = 1
|
||||
}
|
||||
|
||||
.. _mapping.filter:
|
||||
|
||||
mapping.filter
|
||||
--------------
|
||||
|
||||
Allows to configure filter more in depth. If a filter with the given key exists, the TypoScript will
|
||||
be added.
|
||||
|
||||
E.g. you submit a filter in form of:
|
||||
|
||||
.. code-block:: html
|
||||
|
||||
<f:form.textfield property="filter.distance.location.lat" value="51.168098" />
|
||||
<f:form.textfield property="filter.distance.location.lon" value="6.381384" />
|
||||
<f:form.textfield property="filter.distance.distance" value="100km" />
|
||||
|
||||
This will create a ``distance`` filter with subproperties. To make this filter actually work, you
|
||||
can add the following TypoScript, which will be added to the filter::
|
||||
|
||||
mapping {
|
||||
filter {
|
||||
distance {
|
||||
field = geo_distance
|
||||
fields {
|
||||
distance = distance
|
||||
location = location
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
``fields`` has a special meaning here. This will actually map the properties of the filter to fields
|
||||
in elasticsearch. In above example they do match, but you can also use different names in your form.
|
||||
On the left hand side is the elasticsearch field name, on the right side the one submitted as a
|
||||
filter.
|
||||
|
||||
The ``field``, in above example ``geo_distance``, will be used as the elasticsearch field for
|
||||
filtering. This way you can use arbitrary filter names and map them to existing elasticsearch fields.
|
||||
|
||||
.. _fields:
|
||||
|
||||
fields
|
||||
------
|
||||
|
||||
Defines the fields to fetch from elasticsearch. Two sub entries exist:
|
||||
|
||||
First ``stored_fields`` which is a list of comma separated fields which actually exist and will be
|
||||
added. Typically you will use ``_source`` to fetch the whole indexed fields.
|
||||
|
||||
Second is ``script_fields``, which allow you to configure scripted fields for elasticsearch.
|
||||
An example might look like the following::
|
||||
|
||||
fields {
|
||||
script_fields {
|
||||
distance {
|
||||
condition = {request.filter.distance.location}
|
||||
script {
|
||||
params {
|
||||
lat = {request.filter.distance.location.lat -> f:format.number()}
|
||||
lon = {request.filter.distance.location.lon -> f:format.number()}
|
||||
}
|
||||
lang = painless
|
||||
inline = doc["location"].arcDistance(params.lat,params.lon) * 0.001
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
In above example we add a single ``script_field`` called ``distance``. We add a condition when this
|
||||
field should be added. The condition will be parsed as Fluidtemplate and is casted to bool via PHP.
|
||||
If the condition is true, or no ``condition`` exists, the ``script_field`` will be added to the
|
||||
query. The ``condition`` will be removed and everything else is submitted one to one to
|
||||
elasticsearch, except each property is run through Fluidtemplate, to allow you to use information
|
||||
from search request, e.g. to insert latitude and longitude from a filter, like in the above example.
|
||||
|
||||
.. _sort:
|
||||
|
||||
sort
|
||||
----
|
||||
|
||||
Sort is handled like :ref:`fields`.
|
||||
|
||||
.. _mode:
|
||||
|
||||
``mode``
|
||||
""""""""
|
||||
mode
|
||||
----
|
||||
|
||||
Used by: Controller while preparing action.
|
||||
Used by: Controller while preparing action.
|
||||
|
||||
Define to switch from search to filter mode.
|
||||
Define to switch from search to filter mode.
|
||||
|
||||
Example::
|
||||
Example::
|
||||
|
||||
plugin.tx_searchcore.settings.searching {
|
||||
mode = filter
|
||||
}
|
||||
plugin.tx_searchcore.settings.searching {
|
||||
mode = filter
|
||||
}
|
||||
|
||||
Only ``filter`` is allowed as value. Will submit an empty query to switch to filter mode.
|
||||
Only ``filter`` is allowed as value. Will submit an empty query to switch to filter mode.
|
||||
|
|
|
|||
Loading…
Reference in a new issue