spaCy/fabfile.py

from fabric.api import local, lcd, env, settings, prefix
from os.path import exists as file_exists
from fabtools.python import virtualenv
from os import path
import os
import shutil


PWD = path.dirname(__file__)
VENV_DIR = path.join(PWD, '.env')


def counts():
    pass
    # Tokenize the corpus
    # tokenize() 
    # get_freqs()
    # Collate the counts
    # cat freqs | sort -k2 | gather_freqs()
    # gather_freqs()
    # smooth()


# clean, make, sdist
# cd to new env, install from sdist, 
# Push changes to server
# Pull changes on server
# clean make init model
# test --vectors --slow
# train
# test --vectors --slow --models
# sdist
# upload data to server
# change to clean venv
# py2: install from sdist, test --slow, download data, test --models --vectors
# py3: install from sdist, test --slow, download data, test --models --vectors


def prebuild(build_dir='/tmp/build_spacy'):
    if file_exists(build_dir):
        shutil.rmtree(build_dir)
    os.mkdir(build_dir)
    spacy_dir = path.dirname(__file__)
    wn_url = 'http://wordnetcode.princeton.edu/3.0/WordNet-3.0.tar.gz'
    build_venv = path.join(build_dir, '.env')
    with lcd(build_dir):
        local('git clone %s .' % spacy_dir)
        local('virtualenv ' + build_venv)
        with prefix('cd %s && PYTHONPATH=`pwd` && . %s/bin/activate' % (build_dir, build_venv)):
            local('pip install cython fabric fabtools')
            local('pip install -r requirements.txt')
            local('fab clean make')
            local('cp -r %s/corpora/en/wordnet corpora/en/' % spacy_dir)
            local('cp %s/corpora/en/freqs.txt.gz corpora/en/' % spacy_dir)
            local('PYTHONPATH=`pwd` python bin/init_model.py en lang_data corpora spacy/en/data')
            local('fab test')
            local('python setup.py sdist')

def docs():
    with virtualenv(VENV_DIR):
        with lcd(path.join(path.dirname(__file__), 'docs')):
            local('make html')

def publish():
    with virtualenv(VENV_DIR):
        local('python setup.py register')
        local('twine upload dist/*.tar.gz')
        local('git push origin master')


def env(lang="python2.7"):
    if file_exists('.env'):
        local('rm -rf .env')
    local('virtualenv -p %s .env' % lang)


def install():
    with virtualenv(VENV_DIR):
        local('pip install --upgrade setuptools')
        local('pip install dist/*.tar.gz')
        local('pip install pytest')


def make():
    with virtualenv(VENV_DIR):
        with lcd(path.dirname(__file__)):
            local('pip install cython')
            local('pip install murmurhash')
            local('pip install -r requirements.txt')
            local('python setup.py build_ext --inplace')


def clean():
    with lcd(path.dirname(__file__)):
        local('python setup.py clean --all')


def test():
    with virtualenv(VENV_DIR):
        # Run each test file separately. pytest is performing poorly, not sure why
        with lcd(path.dirname(__file__)):
            local('py.test -x tests/')


def train(json_dir=None, dev_loc=None, model_dir=None):
    if json_dir is None:
        json_dir = 'corpora/en/json'
    if model_dir is None:
        model_dir = 'models/en/'
    with virtualenv(VENV_DIR):
        with lcd(path.dirname(__file__)):
            local('python bin/init_model.py lang_data/en/ corpora/en/ ' + model_dir)
            local('python bin/parser/train.py %s %s' % (json_dir, model_dir))


def travis():
    local('open https://travis-ci.org/honnibal/thinc')


def pos():
    with virtualenv(VENV_DIR):
        local('python tools/train.py ~/work_data/docparse/wsj02-21.conll ~/work_data/docparse/wsj22.conll spacy/en/data')
        local('python tools/tag.py ~/work_data/docparse/wsj22.raw /tmp/tmp')
        local('python tools/eval_pos.py ~/work_data/docparse/wsj22.conll /tmp/tmp')


def ner():
    local('rm -rf data/en/ner')
    local('python tools/train_ner.py ~/work_data/docparse/wsj02-21.conll data/en/ner')
    local('python tools/tag_ner.py ~/work_data/docparse/wsj22.raw /tmp/tmp')
    local('python tools/eval_ner.py ~/work_data/docparse/wsj22.conll /tmp/tmp | tail')


def conll():
    local('rm -rf data/en/ner')
    local('python tools/conll03_train.py ~/work_data/ner/conll2003/eng.train data/en/ner/')
    local('python tools/conll03_eval.py ~/work_data/ner/conll2003/eng.testa')