INSTALL.md 4.48 KB

COLLECTOR

Prerequisites

This project requires a Conda installation. For instructions on how to install miniconda see: https://conda.io/miniconda.html.

Creating a new environment

To install the project for first time, create new conda environment:

On Linux/MacOS machines, create a new collector environment with:

conda env create -n collector -f environment.yml
source activate collector
pip install -e .

On Windows machines the activation command is slightly different:

conda env create -n collector -f environment.yml
activate collector 
pip install -e .

Updating environment requirements

To update changes in the requirements (as defined in the environment.yml file):

Linux/MacOS:

conda env update -n collector -f environment.yml
source activate collector
pip install -e .

Windows:

conda env update -n collector -f environment.yml
activate collector
pip install -e .

Collector

Install Java JRE:

  • sudo add-apt-repository universe
  • sudo apt install openjdk-8-jre

To install the Collector first you have to create a collector database:

  • sudo -u postgres createdb collector -E UTF8 -T template0 -l pl_PL.utf8 [-p 5432]

Create a collector user:

  • sudo -u postgres createuser collector [-p 5432]

Access a PostgreSQL interactive terminal:

  • sudo -u postgres psql [-p 5432]

Create a password for the collector user:

  • postgres=# alter user collector with encrypted password '';

Grant the collector user rights to the collector database:

  • postgres=# grant all privileges on database collector to collector;

Grant the collector user rights for creating new databases (for testing purposes):

  • postgres=# alter user collector createdb;

Update 'PASSWORD' and 'PORT' (if needed) keys in the DATABASES 'default' item in the collector/settings.py file.

Create database tables:

  • python ./collector/manage.py makemigrations
  • python ./collector/manage.py migrate

And superuser (if needed):

  • python ./collector/manage.py createsuperuser

Configure pipelines:

  • python ./collector/manage.py configure_[PROJECT_NAME]_pipelines

Download documents:

  • python ./collector/manage.py download_[PROJECT_NAME]_documents

Extract text from documents:

  • python ./collector/manage.py extract_[PROJECT_NAME]_documents

Write documents in the defined output format:

  • python ./collector/manage.py write_[PROJECT_NAME]_documents

where the PROJECT_NAME is 'marcell', 'ppc' or 'nkjp'.

To use the annotation module install also:

Than set proper values for programs, used models and dictionaries (MORFEUSZ2_DICT_PATH, MORFEUSZ2_DICT_NAME, CONCRAFT2_PATH, CONCRAFT2_MODEL_PATH, LINER2_PATH, LINER2_MODEL_PATH, COMBO_PATH, COMBO_MODEL_PATH) in the collector/settings.py file.

You can also define a port assigned to the Concraft2 server (CONCRAFT2_PORT), number of used cores (CONCRAFT2_CORES), allocation area size (in MBs) of the garbage collector (CONCRAFT2_ALLOCATION_SIZE), and an additional dictionary supporting disambiguation (FREQ_1M_PATH).

To use XIX century annotation pipeline set values for XIX_MORFEUSZ2_DICT_PATH and XIX_MORFEUSZ2_DICT_NAME (in the collector/settings.py file), default values pointing to the "parlamentareusz" dictionary will be fine.

To index documents install MTAS (https://github.com/mwasiluk/mtas), Solr (https://lucene.apache.org/solr/) and provide SOLR_URL and SOLR_TIMEOUT values in the collector/settings.py file. Name of SOLR core for particular project should be same as project name in the database.

If you want to use the web interface, set STATIC_ROOT in settings.py and:

  • python manage.py collectstatic

To install Kwantyzer for quantifiers annotation. Clone kwantyzer repository to tools directory:

Run kwantyzer installation:

  • cd ./collector/tools/kwantyzer
  • python setup.py install

Copy newest kwantyzer prediction models to ./collector/tools/kwantyzer/models directory.

Remember to re-activate

When running the project, remember to activate the collector environment:

On Linux/MacOS:

source activate collector

Windows:

activate collector

Verify and test

TBA