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collective.elastic.ingest-1.1


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توضیحات

Addon for ElasticSearch integration with Plone
ویژگی مقدار
سیستم عامل -
نام فایل collective.elastic.ingest-1.1
نام collective.elastic.ingest
نسخه کتابخانه 1.1
نگهدارنده []
ایمیل نگهدارنده []
نویسنده -
ایمیل نویسنده -
آدرس صفحه اصلی -
آدرس اینترنتی https://pypi.org/project/collective.elastic.ingest/
مجوز -
========================= collective.elastic.ingest ========================= Celery-Tasks for ElasticSearch Integration for Plone content - auto-create ElasticSearch... - index - mapping from Plone schema using a flexible conversions file (JSON). - ingest-attachment pipelines using (same as above) file. - task to - index a content object with all data given plus allowedRolesAndUsers and section (primary path) - unindex an content object - configure from environment variables: - celery, - elasticsearch, - sentry logging (optional) Installation ------------ Install ``collective.elastic.ingest`` (redis-ready) using pip:: pip install collective.elastic.ingest redis ``collective.elastic.ingest`` requires ``elasticsearch``. Specifiy the version according your ``Elasticsearch`` app version. For example:: pip install 'elasticsearch~=7.0' Starting -------- Define the configuration as environment variables:: CELERY_BROKER=redis://localhost:6379/0 ELASTICSEARCH_INGEST_SERVER=localhost:9200 ELASTICSEARCH_INGEST_USE_SSL=0 PLONE_SERVICE=http://localhost:8080 PLONE_PATH=Plone PLONE_USER=admin PLONE_PASSWORD=admin Optional (defaults used if not given):: ANALYSIS_FILE=/full/path/to/analysis.json MAPPINGS_FILE=/full/path/to/mappings.json PREPROCESSINGS_FILE=/full/path/to/preprocessings.json SENTRY_DSN= (disabled by default) Then run celery:: celery worker -A collective.elastic.ingest.celery.app -l info Or with debug information:: celery worker -A collective.elastic.ingest.celery.app -l debug Text Analysis ------------- Test analysis is optional. Skip this on a first installation. Search results can be enhanced with a tailored text analysis. This is an advanced topic. You can find detailed information about text analysis in ElasticSearch documentation. We provide an example analysis configuration for a better search for german compounded words. Example: A document with the string 'Lehrstellenbörse' can be found by quering 'Lehrstelle' and also by quering 'Börse' with a ``decompounder`` with word list 'Lehrstelle, Börse' and an additional ``stemmer``. The example analyzer configuration also applies a ``stemmer``, which can handle flexations of words, which is an important enhancement. Even fuzzy search, which can be used without any analysis configuration, has its limits in a nice but complex language like german. The analysis configuration is just a configuration of analyzers. In the provided example are two of them: ``german_analyzer`` and ``german_exact``. The first is the one to decompound words according the word list in `lexicon.txt`. A ``stemmer`` is added. The second one is to allow also exact queries with a quoted search string. These two analyzers are to be applied to fields. You can apply them in your mapping. Example:: "behaviors/plone.basic/title": { "type": "text", "analyzer": "german_analyzer", "fields": { "exact": { "type": "text", "analyzer": "german_exact_analyzer" } } }, Check your configured analysis with:: POST {{elasticsearchserver}}/_analyze { "text": "Lehrstellenbörse", "tokenizer": "standard", "filter": [ "lowercase", "custom_dictionary_decompounder", "light_german_stemmer", "unique" ] } The response delivers the tokens for the analyzed text "Lehrstellenbörse". Note: The file ``elasticsearch-lexicon.txt`` with the word list used by the ``decompounder`` of the sample analysis configuration in ``analysis.json.example`` has to be located in the configuration directory of your elasticsearch server. Source Code ----------- The sources are in a GIT DVCS with its main branches at `github <https://github.com/collective/collective.elastic.ingest>`_. There you can report issue too. We'd be happy to see many forks and pull-requests to make this addon even better. Maintainers are `Jens Klein <mailto:jk@kleinundpartner.at>`_, `Peter Holzer <mailto:peter.holzer@agitator.com>`_ and the BlueDynamics Alliance developer team. We appreciate any contribution and if a release is needed to be done on pypi, please just contact one of us. We also offer commercial support if any training, coaching, integration or adaptions are needed. Contributions ------------- Initial implementation was made possible by `Evangelisch-reformierte Landeskirche des Kantons Zürich <https://zhref.ch/>`_. Idea and testing by Peter Holzer Concept & code by Jens W. Klein Text analysis code and configuration Katja Süss Install for development ----------------------- - clone source code repository, - enter repository directory - recommended: create a virtualenv ``python -mvenv env`` - development install ``./bin/env/pip install -e .`` - add redis support ``./bin/env/pip install redis``. - load environment configuration ``source .env``. Todo ---- - query status of a task - simple statistics about tasks-count: pending, done, errored - celery retry on failure, i.e. restart of ElasticSearch, Plone, ... License ------- The project is licensed under the GPLv2. Changelog ========= 1.1 (2023-03-03) ---------------- - Index allowedRolesAndUsers and section (primary path) [ksuess] 1.0 (2022-11-08) ---------------- - Update to elasticsearch-py 8.x [ksuess] - Add optional configuration of text analysis (stemmer, decompunder, etc) [ksuess] - Keep source on rewrite [ksuess] - Initial release. [jensens] Contributors ============ - Jens W. Klein, jk@kleinundpartner.at - Katja Süss, Rohberg, @ksuess


نیازمندی

مقدار نام
- CacheControl
- celery
>=7 elasticsearch
- requests
- setuptools
- six


زبان مورد نیاز

مقدار نام
>=3.7 Python


نحوه نصب


نصب پکیج whl collective.elastic.ingest-1.1:

    pip install collective.elastic.ingest-1.1.whl


نصب پکیج tar.gz collective.elastic.ingest-1.1:

    pip install collective.elastic.ingest-1.1.tar.gz