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')