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Record to Record Recommendations for Invenio.

Project description

Record Recommender
==================

.. image:: https://travis-ci.org/CERNDocumentServer/record-recommender.svg?branch=master
:target: https://travis-ci.org/CERNDocumentServer/record-recommender


The Record Recommender creates recommendations for Invenio.
By reading page views and downloads from Elasticsearch calculating the
recommendations and storing them in Redis to be retrieve and displayed
by Invenio.


Usage
-----

The workflow to generate the recommendations is:

1. ``recommender fetch 24`` to cache the last 24 weeks of page views and downloads
from Elasticsearch.
2. ``recommender profiles 24`` generate the user profiles from the page views
and downloads. For the not logged in users profiles based on the
ip-address and user agent are created.
3. ``recommender build 50`` calculates the recommendations using 50 processes
and stores them in the specified Redis server.

Alternative the recommendations can be automatically be fetched, the profiles
generated and the recommendations calculated all this with one command:

`recommender update_recommender 24 50` for the last 24 weeks and using
50 processes.



Configuration
-------------
The configuration file is expected to be in ``/etc/record_recommender.yml``
otherwise the path to the config file can be defined by using the
command line option ``--config_path``.

.. code-block:: yaml

# Record-Recommender configuration.

elasticsearch:
es_index: ['index-2014', 'index-2015', 'index-2016']
es_user: user
es_password:
es_host: localhost
es_port: 443

recommendation_version: 1

# Sentry connection string
sentry:

redis:
host: localhost
port: 6379
db: 0
prefix: 'Reco_1::'

cache:
base_path: cache/
cache_file_prefix: ''

logging:
version: 1
disable_existing_loggers: False
formatters:
simple:
format: '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
handlers:
console:
class: logging.StreamHandler
level: INFO
formatter: simple
stream: ext://sys.stdout
sentry:
class: raven.handlers.logging.SentryHandler
level: WARN
dsn:
file:
class : logging.FileHandler
formatter: simple
level: DEBUG
filename: log_recommender.log
loggers:
record_recommender:
level: DEBUG
handlers: [console, file, sentry]
propagate: no
# elasticsearch:
# level: WARN
# handlers: [console]
# propagate: no
root:
level: ERROR
handlers: [console, file, sentry]

Additional to the configuration options found in the config file
environment variables, which overwrite the ones from the config file can be set.

- ``RECOMMENDER_ES_PASSWORD`` to set the Elasticsearch password.
- ``RECOMMENDER_SENTRY`` to set the Sentry connection string.




Command line
------------

.. code-block:: console

Usage: recommender [OPTIONS] COMMAND [ARGS]...

Record-Recommender command line version.

Options:
-v, --verbose Enables verbose mode.
-c, --config_path TEXT Path to the configuration file.
--help Show this message and exit.

Commands:
debug Debug the application and recommender.
fetch Fetch newest PageViews and Downloads.
build Calculate all recommendations.
profiles Number of weeks to build.
update_recommender Download and build the recommendations.


Debugging the Recommendations
-----------------------------
As first step look into the created user profiles in the defined ``cache``
folder.

To explore the graph with all loaded data use the
``recommender debug`` command to get a interactive python shell.

Project details


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