From 6b04cff176d85f3a95a144441441e4ce51b2a480 Mon Sep 17 00:00:00 2001 From: Konstantinos <> Date: Mon, 9 Sep 2019 02:04:46 +0200 Subject: [PATCH 1/3] Create python package with setup.py. Add unittests for scripts. Build successfully with python3.6 on travis. Python2.7 fails on travis but should be fine locally. Build for scrutinizer. WIP WIP WIP WIP Add url in setup.py WIP WIP WIP WIP Passing artm36 env WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP Submit travis job without using tox WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP Add coveragerc WIP WIP WIP Read COLLECTIONS_DIR as an environment variable WIP WIP WIP WIP WIP WIP WIP WIP Add scrutinizer.yml WIP WIP Enhance .scrutinizer.yml Enhance .scrutinizer.yml Enhance .scrutinizer.yml Enhance .scrutinizer.yml Enhance .scrutinizer.yml Enhance .scrutinizer.yml Enhance .scrutinizer.yml Enhance .scrutinizer.yml Enhance .scrutinizer.yml Enhance .scrutinizer.yml Enhance .scrutinizer.yml WIP WIP Remove legacy 'patmtk' directory Check if scripts get installed WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP WIP --- patmtk/.coveragerc => .coveragerc | 6 +- .gitignore | 10 +- .scrutinizer.yml | 87 ++++++++++ .travis.yml | 86 ++++++++++ .travis/build-n-wheel.sh | 61 +++++++ .travis/clone-bigartm.sh | 6 + .travis/requirements.txt | 26 +++ .travis/select-wheel.sh | 22 +++ patmtk/LICENSE.txt => LICENSE.txt | 0 MANIFEST.in | 34 ++++ README.rst | 85 +++++++++ build_artm.sh | 60 +++++++ data/pickles_2_posts.pkl | Bin 0 -> 598468 bytes data/pickles_38_posts.pkl | Bin 0 -> 173865 bytes data/pickles_5_posts.pkl | Bin 0 -> 634798 bytes explore.py | 70 -------- patmtk/.travis.yml | 13 -- patmtk/MANIFEST.in | 2 - patmtk/README.rst | 37 ---- patmtk/requirements.txt | 17 -- patmtk/results/__init__.py | 13 -- patmtk/setup.py | 34 ---- patmtk/tests/rq1_artifacts_test.py | 134 --------------- patmtk/pipeline.cfg => pipeline.cfg | 0 pyproject.toml | 7 + patmtk/regularizers.cfg => regularizers.cfg | 0 requirements.txt | 26 +++ setup.py | 92 ++++++++++ .../topic_modeling_toolkit}/make_graphs.py | 11 +- .../topic_modeling_toolkit}/patm/__init__.py | 7 +- .../patm/build_coherence.py | 2 +- .../topic_modeling_toolkit}/patm/dataset.py | 7 +- .../patm/definitions.py | 114 ++++++------ .../patm/discreetization.py | 15 +- .../patm/evaluation/__init__.py | 0 .../patm/evaluation/base_evaluator.py | 2 +- .../patm/evaluation/scorer_factory.py | 2 +- .../topic_modeling_toolkit}/patm/logging.ini | 0 .../patm/modeling/__init__.py | 0 .../patm/modeling/dataset_extraction.py | 4 +- .../patm/modeling/experiment.py | 2 +- .../patm/modeling/model_factory.py | 7 +- .../patm/modeling/persistence.py | 4 +- .../patm/modeling/regularization/__init__.py | 0 .../modeling/regularization/regularizers.cfg | 81 +++++++++ .../modeling/regularization/regularizers.py | 0 .../regularization/regularizers_factory.py | 36 ++-- .../modeling/regularization/trajectory.py | 0 .../patm/modeling/topic_model.py | 2 +- .../patm/modeling/trainer.py | 0 .../patm/pipe_handler.py | 2 +- .../patm/tuning/__init__.py | 0 .../patm/tuning/parameters.py | 0 .../patm/tuning/tuner.py | 5 +- .../topic_modeling_toolkit}/patm/utils.py | 1 - .../processors/__init__.py | 0 .../processors/disk_writer_processors.py | 0 .../processors/generator_processors.py | 0 .../processors/mutators/__init__.py | 0 .../processors/mutators/mutators.py | 2 +- .../processors/pipeline.py | 10 +- .../processors/processor.py | 0 .../processors/string2generator.py | 0 .../processors/string_processors.py | 0 .../report_datasets.py | 17 +- .../topic_modeling_toolkit/report_kl.py | 9 +- .../topic_modeling_toolkit}/report_models.py | 48 +++--- .../topic_modeling_toolkit}/report_topics.py | 8 +- .../reporting/__init__.py | 4 +- .../reporting/dataset_reporter.py | 6 +- .../reporting/fitness.py | 0 .../reporting/graph_builder.py | 0 .../reporting/model_selection.py | 2 +- .../topic_modeling_toolkit}/reporting/psi.py | 2 +- .../reporting/reporter.py | 0 .../reporting/topics.py | 2 +- .../results/__init__.py | 5 + .../results/experimental_results.py | 0 .../results/logging.ini | 38 ++++ .../topic_modeling_toolkit}/train.py | 33 ++-- .../topic_modeling_toolkit}/transform.py | 30 ++-- .../topic_modeling_toolkit}/tune.py | 9 +- {patmtk/tests => tests}/__init__.py | 0 {patmtk/tests => tests}/conftest.py | 29 ++-- .../data/cplsa100000_0.2_0.json | 0 ...ight-counts_format1-uci.format2-vowpal.pkl | Bin .../data/megadata/cooc_0_df.txt | 0 .../data/megadata/cooc_0_tf.txt | 0 .../data/megadata/docword.megadata.txt | 0 .../data/megadata/models/candidate.phi | Bin .../data/megadata/models/go_1.phi | Bin .../data/megadata/models/go_5.phi | Bin .../data/megadata/models/sgo_1.phi | Bin .../data/megadata/models/sgo_5.phi | Bin .../data/megadata/ppmi_0_df.txt | 0 .../data/megadata/ppmi_0_tf.txt | 0 .../data/megadata/results/candidate.json | 0 .../data/megadata/results/go_1.json | 0 .../data/megadata/results/go_5.json | 0 .../data/megadata/results/sgo_1.json | 0 .../data/megadata/results/sgo_5.json | 0 .../data/megadata/vocab.megadata.txt | 0 .../data/megadata/vow-batches/aaaaaa.batch | 0 .../data/megadata/vow-batches/aaaaab.batch | 0 .../data/megadata/vow-batches/aaaaac.batch | 0 .../data/megadata/vow-batches/aaaaad.batch | 0 .../data/megadata/vow-batches/aaaaae.batch | 0 .../data/megadata/vow-batches/aaaaaf.batch | 0 .../data/megadata/vowpal.megadata.txt | 0 .../tests => tests}/dataset_creation_test.py | 8 +- .../tests => tests}/dataset_reporting_test.py | 0 {patmtk/tests => tests}/degeneration_test.py | 2 +- .../tests => tests}/discreetization_test.py | 4 +- .../experimental_results_test.py | 6 +- .../tests => tests}/graph_building_test.py | 0 .../tests => tests}/model_reporting_test.py | 2 +- {patmtk/tests => tests}/regression.cfg | 0 {patmtk/tests => tests}/regressions_test.py | 6 +- tests/scripts_test.py | 36 ++++ {patmtk/tests => tests}/test-pipeline.cfg | 0 {patmtk/tests => tests}/test-regularizers.cfg | 0 {patmtk/tests => tests}/test-train.cfg | 0 .../tests => tests}/test_parameter_grid.py | 4 +- .../test_token_lemmatization.py | 2 +- {patmtk/tests => tests}/test_tuning.py | 2 +- .../tests => tests}/topics_reporting_test.py | 2 +- {patmtk/tests => tests}/train_test.py | 1 + tox.ini | 162 ++++++++++++++++++ patmtk/train.cfg => train.cfg | 0 129 files changed, 1184 insertions(+), 539 deletions(-) rename patmtk/.coveragerc => .coveragerc (85%) create mode 100644 .scrutinizer.yml create mode 100644 .travis.yml create mode 100644 .travis/build-n-wheel.sh create mode 100644 .travis/clone-bigartm.sh create mode 100644 .travis/requirements.txt create mode 100644 .travis/select-wheel.sh rename patmtk/LICENSE.txt => LICENSE.txt (100%) create mode 100644 MANIFEST.in create mode 100644 README.rst create mode 100644 build_artm.sh create mode 100644 data/pickles_2_posts.pkl create mode 100644 data/pickles_38_posts.pkl create mode 100644 data/pickles_5_posts.pkl delete mode 100644 explore.py delete mode 100644 patmtk/.travis.yml delete mode 100644 patmtk/MANIFEST.in delete mode 100644 patmtk/README.rst delete mode 100644 patmtk/requirements.txt delete mode 100644 patmtk/results/__init__.py delete mode 100644 patmtk/setup.py delete mode 100644 patmtk/tests/rq1_artifacts_test.py rename patmtk/pipeline.cfg => pipeline.cfg (100%) create mode 100644 pyproject.toml rename patmtk/regularizers.cfg => regularizers.cfg (100%) create mode 100644 requirements.txt create mode 100644 setup.py rename {patmtk => src/topic_modeling_toolkit}/make_graphs.py (92%) rename {patmtk => src/topic_modeling_toolkit}/patm/__init__.py (72%) rename {patmtk => src/topic_modeling_toolkit}/patm/build_coherence.py (99%) rename {patmtk => src/topic_modeling_toolkit}/patm/dataset.py (87%) rename {patmtk => src/topic_modeling_toolkit}/patm/definitions.py (75%) rename {patmtk => src/topic_modeling_toolkit}/patm/discreetization.py (99%) rename {patmtk => src/topic_modeling_toolkit}/patm/evaluation/__init__.py (100%) rename {patmtk => src/topic_modeling_toolkit}/patm/evaluation/base_evaluator.py (98%) rename {patmtk => src/topic_modeling_toolkit}/patm/evaluation/scorer_factory.py (97%) rename {patmtk => src/topic_modeling_toolkit}/patm/logging.ini (100%) rename {patmtk => src/topic_modeling_toolkit}/patm/modeling/__init__.py (100%) rename {patmtk => src/topic_modeling_toolkit}/patm/modeling/dataset_extraction.py (95%) rename {patmtk => src/topic_modeling_toolkit}/patm/modeling/experiment.py (99%) rename {patmtk => src/topic_modeling_toolkit}/patm/modeling/model_factory.py (97%) rename {patmtk => src/topic_modeling_toolkit}/patm/modeling/persistence.py (98%) rename {patmtk => src/topic_modeling_toolkit}/patm/modeling/regularization/__init__.py (100%) create mode 100644 src/topic_modeling_toolkit/patm/modeling/regularization/regularizers.cfg rename {patmtk => src/topic_modeling_toolkit}/patm/modeling/regularization/regularizers.py (100%) rename {patmtk => src/topic_modeling_toolkit}/patm/modeling/regularization/regularizers_factory.py (92%) rename {patmtk => src/topic_modeling_toolkit}/patm/modeling/regularization/trajectory.py (100%) rename {patmtk => src/topic_modeling_toolkit}/patm/modeling/topic_model.py (99%) rename {patmtk => src/topic_modeling_toolkit}/patm/modeling/trainer.py (100%) rename {patmtk => src/topic_modeling_toolkit}/patm/pipe_handler.py (99%) rename {patmtk => src/topic_modeling_toolkit}/patm/tuning/__init__.py (100%) rename {patmtk => src/topic_modeling_toolkit}/patm/tuning/parameters.py (100%) rename {patmtk => src/topic_modeling_toolkit}/patm/tuning/tuner.py (98%) rename {patmtk => src/topic_modeling_toolkit}/patm/utils.py (99%) rename {patmtk => src/topic_modeling_toolkit}/processors/__init__.py (100%) rename {patmtk => src/topic_modeling_toolkit}/processors/disk_writer_processors.py (100%) rename {patmtk => src/topic_modeling_toolkit}/processors/generator_processors.py (100%) rename {patmtk => src/topic_modeling_toolkit}/processors/mutators/__init__.py (100%) rename {patmtk => src/topic_modeling_toolkit}/processors/mutators/mutators.py (92%) rename {patmtk => src/topic_modeling_toolkit}/processors/pipeline.py (93%) rename {patmtk => src/topic_modeling_toolkit}/processors/processor.py (100%) rename {patmtk => src/topic_modeling_toolkit}/processors/string2generator.py (100%) rename {patmtk => src/topic_modeling_toolkit}/processors/string_processors.py (100%) rename {patmtk => src/topic_modeling_toolkit}/report_datasets.py (75%) rename patmtk/report-KL.py => src/topic_modeling_toolkit/report_kl.py (72%) rename {patmtk => src/topic_modeling_toolkit}/report_models.py (60%) rename {patmtk => src/topic_modeling_toolkit}/report_topics.py (90%) rename {patmtk => src/topic_modeling_toolkit}/reporting/__init__.py (50%) rename {patmtk => src/topic_modeling_toolkit}/reporting/dataset_reporter.py (95%) rename {patmtk => src/topic_modeling_toolkit}/reporting/fitness.py (100%) rename {patmtk => src/topic_modeling_toolkit}/reporting/graph_builder.py (100%) rename {patmtk => src/topic_modeling_toolkit}/reporting/model_selection.py (99%) rename {patmtk => src/topic_modeling_toolkit}/reporting/psi.py (99%) rename {patmtk => src/topic_modeling_toolkit}/reporting/reporter.py (100%) rename {patmtk => src/topic_modeling_toolkit}/reporting/topics.py (99%) create mode 100644 src/topic_modeling_toolkit/results/__init__.py rename {patmtk => src/topic_modeling_toolkit}/results/experimental_results.py (100%) create mode 100644 src/topic_modeling_toolkit/results/logging.ini rename {patmtk => src/topic_modeling_toolkit}/train.py (75%) rename {patmtk => src/topic_modeling_toolkit}/transform.py (89%) rename {patmtk => src/topic_modeling_toolkit}/tune.py (92%) rename {patmtk/tests => tests}/__init__.py (100%) rename {patmtk/tests => tests}/conftest.py (95%) rename {patmtk/tests => tests}/data/cplsa100000_0.2_0.json (100%) rename {patmtk/tests => tests}/data/megadata/5047_lowercase_monospace_unicode_deaccent_normalize-lemmatize_minlength-2_maxlength-25_ngrams-1_nobelow-1_noabove-0.5_weight-counts_format1-uci.format2-vowpal.pkl (100%) rename {patmtk/tests => tests}/data/megadata/cooc_0_df.txt (100%) rename {patmtk/tests => tests}/data/megadata/cooc_0_tf.txt (100%) rename {patmtk/tests => tests}/data/megadata/docword.megadata.txt (100%) rename {patmtk/tests => tests}/data/megadata/models/candidate.phi (100%) rename {patmtk/tests => tests}/data/megadata/models/go_1.phi (100%) rename {patmtk/tests => tests}/data/megadata/models/go_5.phi (100%) rename {patmtk/tests => tests}/data/megadata/models/sgo_1.phi (100%) rename {patmtk/tests => tests}/data/megadata/models/sgo_5.phi (100%) rename {patmtk/tests => tests}/data/megadata/ppmi_0_df.txt (100%) rename {patmtk/tests => tests}/data/megadata/ppmi_0_tf.txt (100%) rename {patmtk/tests => tests}/data/megadata/results/candidate.json (100%) rename {patmtk/tests => tests}/data/megadata/results/go_1.json (100%) rename {patmtk/tests => tests}/data/megadata/results/go_5.json (100%) rename {patmtk/tests => tests}/data/megadata/results/sgo_1.json (100%) rename {patmtk/tests => tests}/data/megadata/results/sgo_5.json (100%) rename {patmtk/tests => tests}/data/megadata/vocab.megadata.txt (100%) rename {patmtk/tests => tests}/data/megadata/vow-batches/aaaaaa.batch (100%) rename {patmtk/tests => tests}/data/megadata/vow-batches/aaaaab.batch (100%) rename {patmtk/tests => tests}/data/megadata/vow-batches/aaaaac.batch (100%) rename {patmtk/tests => tests}/data/megadata/vow-batches/aaaaad.batch (100%) rename {patmtk/tests => tests}/data/megadata/vow-batches/aaaaae.batch (100%) rename {patmtk/tests => tests}/data/megadata/vow-batches/aaaaaf.batch (100%) rename {patmtk/tests => tests}/data/megadata/vowpal.megadata.txt (100%) rename {patmtk/tests => tests}/dataset_creation_test.py (91%) rename {patmtk/tests => tests}/dataset_reporting_test.py (100%) rename {patmtk/tests => tests}/degeneration_test.py (97%) rename {patmtk/tests => tests}/discreetization_test.py (93%) rename {patmtk/tests => tests}/experimental_results_test.py (97%) rename {patmtk/tests => tests}/graph_building_test.py (100%) rename {patmtk/tests => tests}/model_reporting_test.py (96%) rename {patmtk/tests => tests}/regression.cfg (100%) rename {patmtk/tests => tests}/regressions_test.py (97%) create mode 100644 tests/scripts_test.py rename {patmtk/tests => tests}/test-pipeline.cfg (100%) rename {patmtk/tests => tests}/test-regularizers.cfg (100%) rename {patmtk/tests => tests}/test-train.cfg (100%) rename {patmtk/tests => tests}/test_parameter_grid.py (93%) rename {patmtk/tests => tests}/test_token_lemmatization.py (88%) rename {patmtk/tests => tests}/test_tuning.py (91%) rename {patmtk/tests => tests}/topics_reporting_test.py (96%) rename {patmtk/tests => tests}/train_test.py (99%) create mode 100644 tox.ini rename patmtk/train.cfg => train.cfg (100%) diff --git a/patmtk/.coveragerc b/.coveragerc similarity index 85% rename from patmtk/.coveragerc rename to .coveragerc index e519212..18df054 100644 --- a/patmtk/.coveragerc +++ b/.coveragerc @@ -6,10 +6,7 @@ source = [run] branch = true source = - patm - processors - reporting - results + topic_modeling_toolkit tests parallel = true @@ -27,3 +24,4 @@ exclude_lines = abstractproperty abstractclassmethod warnings.warn + download_callback\(url,\ directory, diff --git a/.gitignore b/.gitignore index 36d5f0a..1d335a2 100644 --- a/.gitignore +++ b/.gitignore @@ -1,10 +1,16 @@ *\.pyc \.eggs *\.egg-info +*bigartm* +*__pycache__ +snippets\.txt .idea +main\.py \.fuse* *\.bak -*bigartm* +bigartm\.*log\.* +bigartm\.INFO +bigartm\.WARNING +legacy \.cache* \.coverage -*__pycache__ diff --git a/.scrutinizer.yml b/.scrutinizer.yml new file mode 100644 index 0000000..6e8b080 --- /dev/null +++ b/.scrutinizer.yml @@ -0,0 +1,87 @@ +checks: + python: + code_rating: true + duplicate_code: true + +build: +# environment: +# variables: +# BIGARTM_PARENT_DIR: $(echo $PWD) +# COLLECTIONS_DIR: "$(echo $PWD)/collections" +# apt_packages: +# - make +# - cmake +# - build-essential +# - libboost-all-dev +# - gfortran +# - libblas-dev +# - liblapack-dev + # Languages + nodes: + analysis: + project_setup: + override: + - 'true' + tests: + override: + - py-scrutinizer-run + - + command: pylint-run + use_website_config: true + tests: + tests: + override: + - 'true' +# environment: +# python: +# version: "3.6.0" +## variables: +## BIGARTM_PARENT_DIR: $(echo $PWD) +## COLLECTIONS_DIR: "$(echo $PWD)/collections" +# apt_packages: +# - make +# - cmake +# - build-essential +# - libboost-all-dev +# - gfortran +# - libblas-dev +# - liblapack-dev +## requires: +# # will only run when my-first-test passes +## - node: my-first-test +# # will only run when no failure conditions were met in the analysis +## - analysis +# dependencies: +# before: +# - pip install tox +# - export BIGARTM_PARENT_DIR=$(echo $PWD) +# - export COLLECTIONS_DIR="$(echo $PWD)/collections" +# - echo EDW $BIGARTM_PARENT_DIR +# - echo EDW $COLLECTIONS_DIR +# - mkdir $COLLECTIONS_DIR +# - pip install -U setuptools>=40.0.0 +# - git clone https://github.com/bigartm/bigartm.git +# - chmod +x .travis/build-n-wheel.sh +# - chmod +x .travis/select-wheel.sh +# - .travis/build-n-wheel.sh 3 6 +# - export BIGARTM_WHEEL=$(.travis/select-wheel.sh 3 6) +# - ls $BIGARTM_WHEEL +# tests: +# before: +# - pip install coverage +# override: +# - tox -e clean,check,py36 +# - +# command: coverage +# coverage: +# file: .coverage +# config_file: '.coveragerc' +# format: py-cc + + +filter: + excluded_paths: + - '*/test/*' + - '*/build/*' + dependency_paths: + - 'lib/*' diff --git a/.travis.yml b/.travis.yml new file mode 100644 index 0000000..7808397 --- /dev/null +++ b/.travis.yml @@ -0,0 +1,86 @@ +os: linux +language: python + + +env: + global: + - LD_PRELOAD=/lib/x86_64-linux-gnu/libSegFault.so + - SEGFAULT_SIGNALS=all + - TOX_SKIP_MISSING_INTERPRETERS="False" + - BIGARTM_PARENT_DIR=$(echo $PWD) + - COLLECTIONS_DIR="$(echo $PWD)/collections" + +before_install: + - mkdir $COLLECTIONS_DIR + - python --version + - pip --version + - uname -a + - lsb_release -a + - sudo apt-get --yes update + - sudo apt-get --yes install git make cmake build-essential libboost-all-dev gfortran libblas-dev liblapack-dev + - sudo python -m pip install -U pip + - sudo python -m pip install -U setuptools>=40.0.0 + - python -m pip install -U setuptools>=40.0.0 + - virtualenv --version + - git clone https://github.com/bigartm/bigartm.git + - chmod +x .travis/build-n-wheel.sh + - chmod +x .travis/select-wheel.sh + - python -m pip install tox + + +cache: pip +script: tox -v + +jobs: + fail_fast: true + include: +# - stage: Check +# env: TOXENV=clean,check + - stage: Build_n_test + before_install: + - python --version + - python -m pip install tox + env: TOXENV=clean,check + - stage: Build_n_test + python: '3.6' + env: TOXENV=py36 + install: + - .travis/build-n-wheel.sh 3 6 + - export BIGARTM_WHEEL=$(.travis/select-wheel.sh 3 6) + - export ARTM_SHARED_LIBRARY=/usr/local/lib/libartm.so + - stage: Build_n_test + python: '2.7' + env: TOXENV=py27 + install: + - .travis/build-n-wheel.sh 2 7 + - export BIGARTM_WHEEL=$(.travis/select-wheel.sh 2 7) + - export ARTM_SHARED_LIBRARY=/usr/local/lib/libartm.so + - stage: Build_n_test + python: '3.6' + before_install: + - python --version + - python -m pip install tox + env: TOXENV=quality + + allow_failures: + - env: TOXENV=py27 + - env: TOXENV=quality +# allow_failures: +# - env: TOXENV=quality + +after_failure: + - more .tox/log/* | cat + - more .tox/*/log/* | cat + +# +#deploy: +# provider: script +# script: .travis/deploy.sh +# on: +# all_branches: true + + +#notifications: +# email: +# on_success: never +# on_failure: never diff --git a/.travis/build-n-wheel.sh b/.travis/build-n-wheel.sh new file mode 100644 index 0000000..fb932db --- /dev/null +++ b/.travis/build-n-wheel.sh @@ -0,0 +1,61 @@ +#!/usr/bin/env bash + +set -e + +python_version=$1 +python_subversion=$2 + +if [[ "$python_version" == "2" ]]; then + python_subversion=7 +elif [[ "$python_subversion" == "" ]]; then + echo "Please supply a 2nd argument to indicate specific python3 subversion (ie 6, 7)" + exit 1 +fi + +python -m pip install "setuptools>=40.0.0" +python -m pip install -U setuptools +python -m pip install protobuf tqdm wheel + +# sudo -H python -m pip install wheel + +sudo apt-get --yes install python-setuptools python-wheel +sudo apt-get --yes install python3-setuptools python3-wheel + +python -m pip list + +current_dir=$(echo $PWD) +mkdir $BIGARTM_PARENT_DIR/bigartm/build +cd $BIGARTM_PARENT_DIR/bigartm/build + +#sudo apt-get update --yes +sudo apt-get --yes install git make cmake build-essential libboost-all-dev gfortran libblas-dev liblapack-dev +#sudo apt-get upgrade --yes + +# installs by default under /usr/local. To manipulate this use -DCMAKE_INSTALL_PREFIX=xxx flag in cmake +if [[ "$python_version" == "2" ]]; then + cmake .. +elif [[ "$python_version" == "3" ]]; then + cmake -DPYTHON=python3 .. +fi +echo DONE cmake + + +make +echo DONE make + +sudo make install +echo DONE make install +export ARTM_SHARED_LIBRARY=/usr/local/lib/libartm.so + +echo SETUPTOOLS +python -m pip list + +# now the 'bigartm' executable should be accessible +which bigartm +if [[ $? -ne 0 ]]; then + echo "Failed to find bigartm executable. Maybe not in path?" + exit 1 +fi + + +cd $current_dir diff --git a/.travis/clone-bigartm.sh b/.travis/clone-bigartm.sh new file mode 100644 index 0000000..7016819 --- /dev/null +++ b/.travis/clone-bigartm.sh @@ -0,0 +1,6 @@ +#!/bin/bash + +current_dir=$(echo $PWD) +cd $1 +git clone https://github.com/bigartm/bigartm.git +cd $current_dir diff --git a/.travis/requirements.txt b/.travis/requirements.txt new file mode 100644 index 0000000..ed7c1d9 --- /dev/null +++ b/.travis/requirements.txt @@ -0,0 +1,26 @@ +numpy>=1.16.5 +regex==2019.6.8 +attrs==19.1.0 +tqdm==4.32.2 +Click==7.0 +scipy>=1.2.2 +six==1.12.0 + +matplotlib>=2.2.4 + +future==0.17.1 + +in-place==0.4.0 + +nltk==3.4.4 + +pandas>=0.24.2 + +Pattern==3.6 +gensim==3.8.0 +protobuf==3.9.0 +prompt-toolkit==1.0.14 +PyInquirer==1.0.3 + +# EasyPlot==1.0.0 +# configparser \ No newline at end of file diff --git a/.travis/select-wheel.sh b/.travis/select-wheel.sh new file mode 100644 index 0000000..78cc281 --- /dev/null +++ b/.travis/select-wheel.sh @@ -0,0 +1,22 @@ +#!/usr/bin/env bash + +python_version=$1 +python_subversion=$2 + +if [[ "$python_version" == "2" ]]; then + python_subversion=7 +elif [[ "$python_subversion" == "" ]]; then + echo "Please supply a 2nd argument to indicate specific python3 subversion (ie 6, 7)" + exit 1 +fi + +reg="bigartm.*cp$python_version$python_subversion.*.whl" + +for filename in $BIGARTM_PARENT_DIR/bigartm/build/python/bigartm*.whl; do + if [[ $filename =~ $reg ]]; then + echo $filename +# echo "Found wheel for python$python_version.$python_subversion" +# export BIGARTM_WHEEL=$filename + break + fi +done diff --git a/patmtk/LICENSE.txt b/LICENSE.txt similarity index 100% rename from patmtk/LICENSE.txt rename to LICENSE.txt diff --git a/MANIFEST.in b/MANIFEST.in new file mode 100644 index 0000000..6a76a9a --- /dev/null +++ b/MANIFEST.in @@ -0,0 +1,34 @@ +include README.rst +include LICENSE.txt +include requirements.txt + +include tests/data/* + +graft src +graft tests +graft data + +include pipeline.cfg +include regularizers.cfg +include train.cfg + +include pyproject.toml +include tox.ini + +include build_artm.sh + +global-exclude *.py[cod] __pycache__ *.so *.dylib + +# include .travis.yml +include .scrutinizer.yml +# include appveyor.yml + +# include .bandit.yml + +include .coveragerc + +graft .travis + + +# recursive-include ci *.cmd +# recursive-include ci *.py diff --git a/README.rst b/README.rst new file mode 100644 index 0000000..62bd6fd --- /dev/null +++ b/README.rst @@ -0,0 +1,85 @@ +Topic Modeling Toolkit - Python Library +========================================================================= + +This library aims to automate Topic Modeling research-related activities. + +* Data preprocessing and dataset computing +* Model training (with parameter grid-search), evaluating and comparing +* Graph building +* Computing KL-divergence between p(c|t) distributions +* Datasets/models/kl-distances reporting + + +.. start-badges + +.. list-table:: + :stub-columns: 1 + + * - tests + - | |travis| + - | |coverage| + - | |code_intelligence| + +.. |travis| image:: https://travis-ci.org/boromir674/topic-modeling-toolkit.svg?branch=packagify + :alt: Travis-CI Build Status + :target: https://travis-ci.org/boromir674/topic-modeling-toolkit + +.. |coverage| image:: https://coveralls.io/repos/github/boromir674/topic-modeling-toolkit/badge.svg?branch=packagify + :alt: Coverage Status + :target: https://coveralls.io/github/boromir674/topic-modeling-toolkit?branch=packagify + +.. |code_intelligence| image:: https://scrutinizer-ci.com/g/boromir674/topic-modeling-toolkit/badges/code-intelligence.svg?b=packagify + :alt: Code Intelligence + :target: https://scrutinizer-ci.com/code-intelligence + + +======== +Overview +======== + +This library serves as a higher level API around the BigARTM_ (artm python interface) library and exposes it conviniently through the command line. + +Key features of the Library: + +* Flexible preprocessing pipelines +* Optimization of classification scheme with an evolutionary algorithm +* Fast model inference with parallel/multicore execution +* Persisting of models and experimental results +* Visualization + +.. _BigARTM: https://github.com/bigartm + + +Installation +------------ +| Please build BigARTM following the instructions `here `_. +| Make sure to build it in a way to produce the correct wheel to install as bigartm dependency in your enviroment. +| After installing Bigartm, the 'bigartm' executable should be in PATH. +| +| The code shall be hosted on PyPI, hence it should be installed by + +:: + + $ pip install topic_modeling_toolkit + + +Usage +----- +A sample example is below. + +:: + + $ current_dir=$(echo $PWD) + $ mkdir datasets-dir + $ export COLLECTIONS_DIR=$current_dir/datasets-dir + + $ transform posts pipeline.cfg my-dataset + $ train my-dataset train.cfg plsa-model --save + $ make-graphs --model-labels "plsa-model" --allmetrics --no-legend + $ xdg-open $COLLECTIONS_DIR/plsa-model/graphs/plsa*prpl* + +Citation +-------- + +1. Vorontsov, K. and Potapenko, A. (2015). `Additive regularization of topic models `_. Machine Learning, 101(1):303–323. + diff --git a/build_artm.sh b/build_artm.sh new file mode 100644 index 0000000..4a3cdd1 --- /dev/null +++ b/build_artm.sh @@ -0,0 +1,60 @@ +#!/usr/bin/env bash + +python_version=$1 + + +which bigartm +if [[ $? -eq 0 ]]; then + bigartm_bin=$(which bigartm) + echo "Bigartm executable found at $bigartm_bin Skipping building and installing!" + exit 0 +fi + + +which "python$python_version" +if [[ $? -eq 0 ]]; then + python_bin=$(which "python$python_version") + echo "Python executable found at $python_bin" +else + echo "Executable 'python$python_version' not found" + which python3 + which python + exit 1 +fi + +set -e + +sudo apt-get --yes install python-setuptools python-wheel +sudo apt-get --yes install python3-setuptools python3-wheel + + +${python_bin} -m pip install --user -U setuptools wheel + + +sudo apt-get --yes install git make cmake build-essential libboost-all-dev gfortran libblas-dev liblapack-dev + +current_dir=$(echo $PWD) +git clone https://github.com/bigartm/bigartm.git +mkdir build && cd build + +# installs by default under /usr/local. 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+1,26 @@ +numpy>=1.16.5 +regex==2019.6.8 +attrs==19.1.0 +tqdm==4.32.2 +Click==7.0 +scipy>=1.2.2 +six==1.12.0 + +matplotlib==3.1.1 + +future==0.17.1 + +in-place==0.4.0 + +nltk==3.4.4 + +pandas==0.25.0 + +Pattern==3.6 +gensim==3.8.0 +protobuf==3.9.0 +prompt-toolkit==1.0.14 +PyInquirer==1.0.3 + +# EasyPlot==1.0.0 +# configparser \ No newline at end of file diff --git a/setup.py b/setup.py new file mode 100644 index 0000000..46ff883 --- /dev/null +++ b/setup.py @@ -0,0 +1,92 @@ +from setuptools import setup, find_packages + +from os import path + +this_dir = path.dirname(path.realpath(__file__)) + +def readme(): + with open(path.join(this_dir, 'README.rst')) as f: + return f.read() + + +setup_kwargs = dict( + name='topic-modeling-toolkit', + version='0.5.6', + description='Topic Modeling Toolkit', + long_description=readme(), + keywords='topic modeling machine learning', + + # project_urls={ + # "Source Code": "https://github.com/.., + # }, + zip_safe=False, + + # what packages/distributions (python) need to be installed when this one is. (Roughly what is imported in source code) + install_requires=[ + 'numpy', 'scipy', 'EasyPlot==1.0.0', 'nltk', + 'pandas', 'gensim', 'tqdm', 'in-place', 'protobuf', + 'click', 'future', 'attrs', + 'PyInquirer', # # for the transform.py interface + # 'configparser' # to make statement 'from configparser import ConfigParser' python 2 and 3 compatible + ], + # A string or list of strings specifying what other distributions need to be present in order for the setup script to run. + # (Note: projects listed in setup_requires will NOT be automatically installed on the system where the setup script is being run. + # They are simply downloaded to the ./.eggs directory if they're not locally available already. If you want them to be installed, + # as well as being available when the setup script is run, you should add them to install_requires and setup_requires.) + # setup_requires=[], + + # Folder where unittest.TestCase-like written modules reside. Specifying this argument enables use of the test command + # to run the specified test suite, e.g. via setup.py test. + test_suite='tests', + + # Declare packages that the project's tests need besides those needed to install it. A string or list of strings specifying + # what other distributions need to be present for the package's tests to run. Note that these required projects will not be installed on the system where the + # tests are run, but only downloaded to the project's setup directory if they're not already installed locally. + # Use to ensure that a package is available when the test command is run. + tests_require=['pytest'], + + classifiers=[ + 'Development Status :: 4 - Beta', + 'License :: OSI Approved :: GNU General Public License v3 (GPLv3)', + 'Programming Language :: Python :: 2', + 'Programming Language :: Python :: 2.7', + 'Programming Language :: Python :: 3', + 'Programming Language :: Python :: 3.6', + 'Topic :: Scientific/Engineering :: Artificial Intelligence', + 'Topic :: Software Development :: Libraries :: Python Modules', + 'Intended Audience :: Science/Research' + ], + url='https://github.com/boromir674/topic-modeling-toolkit', + # download_url='point to tar.gz', # help easy_install do its tricks + author='Konstantinos Lampridis', + author_email='k.lampridis@hotmail.com', + license='GNU GPLv3', + packages=find_packages(where='src'), + package_dir={'': 'src'}, # this is required by distutils + # py_modules=[splitext(basename(path))[0] for path in glob('src/*.py')], + include_package_data=True, + # Include all data files in packages that distutils are aware of through the MANIFEST.in file + # package_data={ + # # If any package contains *.txt or *.rst files, include them: + # '': ['*.txt', '*.rst'], + # 'package_name.file_name': ['data/*.txt', 'data/model.pickle'], + # }, + entry_points={ + 'console_scripts': [ + 'transform = topic_modeling_toolkit.transform:main', + 'train = topic_modeling_toolkit.train:main', + 'tune = topic_modeling_toolkit.tune:main', + 'make-graphs = topic_modeling_toolkit.make_graphs:main', + 'report-datasets = topic_modeling_toolkit.report_datasets:main', + 'report-models = topic_modeling_toolkit.report_models:main', + 'report-topics = topic_modeling_toolkit.report_topics:main', + 'report-kl= topic_modeling_toolkit.report_kl:main', + ] + }, + # A dictionary mapping names of "extras" (optional features of your project: eg imports that a console_script uses) to strings or lists of strings + # specifying what other distributions must be installed to support those features. + # extras_require={}, + +) + +setup(**setup_kwargs) diff --git a/patmtk/make_graphs.py b/src/topic_modeling_toolkit/make_graphs.py similarity index 92% rename from patmtk/make_graphs.py rename to src/topic_modeling_toolkit/make_graphs.py index 936a293..33b20fd 100644 --- a/patmtk/make_graphs.py +++ b/src/topic_modeling_toolkit/make_graphs.py @@ -1,10 +1,11 @@ #!/usr/bin/env python +import os import re import sys import click -from reporting.graph_builder import GraphMaker -from patm.definitions import COLLECTIONS_DIR_PATH +from .reporting import GraphMaker +# from .patm.definitions import COLLECTIONS_DIR_PATH c = ['perplexity', 'kernel-size', 'kernel-coherence', 'kernel-contrast', 'kernel-purity', 'top-tokens-coherence', 'sparsity-phi', 'sparsity-theta', 'background-tokens-ratio'] @@ -62,7 +63,11 @@ def main(dataset, models_labels, sort, model_indices, top, range_tuple, allmetri print("The graph building process is probably going to result in an Attribute error ('Legend' object has no attribute 'draggable') " "due to a bug of the easyplot module when requesting legend information to be inculded in the graph image built." " For now please either invoke program with python2 interpreter or use the '--no-legend' flag.") - graph_maker = GraphMaker(COLLECTIONS_DIR_PATH) + collections_dir = os.getenv('COLLECTIONS_DIR') + if not collections_dir: + raise RuntimeError( + "Please set the COLLECTIONS_DIR environment variable with the path to a directory containing collections/datasets") + graph_maker = GraphMaker(collections_dir) graph_maker.build_graphs_from_collection(dataset, selection, metric=sort, score_definitions=metrics, diff --git a/patmtk/patm/__init__.py b/src/topic_modeling_toolkit/patm/__init__.py similarity index 72% rename from patmtk/patm/__init__.py rename to src/topic_modeling_toolkit/patm/__init__.py index 3b5be44..c798340 100644 --- a/patmtk/patm/__init__.py +++ b/src/topic_modeling_toolkit/patm/__init__.py @@ -1,10 +1,14 @@ -from os import path import logging import logging.config + from .dataset import TextDataset from .tuning import Tuner +from .modeling import TrainerFactory, Experiment +from .build_coherence import CoherenceFilesBuilder +from .pipe_handler import PipeHandler + # logging.config.fileConfig(path.join(path.dirname(path.realpath(__file__)), 'logging.ini'), disable_existing_loggers=True) # # logger = logging.getLogger(__name__) @@ -12,3 +16,4 @@ from .discreetization import PoliticalSpectrumManager political_spectrum = PoliticalSpectrumManager() + diff --git a/patmtk/patm/build_coherence.py b/src/topic_modeling_toolkit/patm/build_coherence.py similarity index 99% rename from patmtk/patm/build_coherence.py rename to src/topic_modeling_toolkit/patm/build_coherence.py index 57b6518..63c8985 100644 --- a/patmtk/patm/build_coherence.py +++ b/src/topic_modeling_toolkit/patm/build_coherence.py @@ -1,4 +1,4 @@ -#!/usr/bin/python3.5 +#!/usr/bin/env python import os import re diff --git a/patmtk/patm/dataset.py b/src/topic_modeling_toolkit/patm/dataset.py similarity index 87% rename from patmtk/patm/dataset.py rename to src/topic_modeling_toolkit/patm/dataset.py index 8a1eb81..6fc70bf 100644 --- a/patmtk/patm/dataset.py +++ b/src/topic_modeling_toolkit/patm/dataset.py @@ -1,5 +1,4 @@ import os -from patm.definitions import COLLECTIONS_DIR_PATH import sys if sys.version_info[0] < 3: @@ -27,7 +26,11 @@ def __init__(self, name, _id, nb_docs, unique_words, nb_words, weights_file, wor self._nb_bows = nb_words self.bowf = weights_file self.words = words_file - self.root_dir = os.path.join(COLLECTIONS_DIR_PATH, self.name) + collections_dir = os.getenv('COLLECTIONS_DIR') + if not collections_dir: + raise RuntimeError( + "Please set the COLLECTIONS_DIR environment variable with the path to a directory containing collections/datasets") + self.root_dir = os.path.join(collections_dir, self.name) self.vowpal = vowpal_file # self.splits = None # self.datapoints = dict([(tag, {}) for tag in split_tags]) diff --git a/patmtk/patm/definitions.py b/src/topic_modeling_toolkit/patm/definitions.py similarity index 75% rename from patmtk/patm/definitions.py rename to src/topic_modeling_toolkit/patm/definitions.py index 8e85d64..ebcc5ed 100644 --- a/patmtk/patm/definitions.py +++ b/src/topic_modeling_toolkit/patm/definitions.py @@ -4,35 +4,28 @@ from functools import reduce +# COLLECTIONS_DIR_PATH = os.get'/data/thesis/data/collections' + + my_dir = os.path.dirname(os.path.realpath(__file__)) RESULTS_DIR_NAME = 'results' MODELS_DIR_NAME = 'models' GRAPHS_DIR_NAME = 'graphs' - -REGULARIZERS_CFG = os.path.join(my_dir, '../regularizers.cfg') -TRAIN_CFG = os.path.join(my_dir, '../train.cfg') - -patm_root_dir = '/data/thesis' -data_root_dir = '/data/thesis/data' -bows_dir = '/data/thesis/data/collections' -words_dir = '/data/thesis/data/collections' - -COLLECTIONS_DIR_PATH = '/data/thesis/data/collections' +DATA_DIR = os.path.join(my_dir, '../../../data/') pre = 'pickles' -categories = ('posts', 'comments', 'reactions', 'users') - -cat2dir = dict(zip(categories, map(lambda x: os.path.join(data_root_dir, x), categories))) - -cat2file_ids = dict(zip(categories, ((2, 5, 38), +cat2file_ids = dict(zip(('posts', 'comments', 'reactions', 'users'), ((2, 5, 38), (9, 16, 28), (1, 12, 19, 43), (24, 31, 36) ))) +CATEGORY_2_FILES_HASH = {k: [os.path.join(DATA_DIR, '{}_{}_{}.pkl'.format(pre, iid, k)) for iid in v] for k,v in cat2file_ids.items()} +# categories = ('posts', 'comments', 'reactions', 'users') +# cat2dir = dict(zip(categories, map(lambda x: os.path.join(data_root_dir, x), categories))) -CATEGORY_2_FILES_HASH = {cat: [os.path.join(cat2dir[cat], '{}_{}_{}.pkl'.format(pre, iid, cat)) for iid in cat2file_ids[cat]] for cat in categories} +# CATEGORY_2_FILES_HASH = {cat: [os.path.join(data_root_dir, cat, '{}_{}_{}.pkl'.format(pre, iid, cat)) for iid in cat2file_ids[cat]] for cat in categories} ###### TOKEN COOCURENCE INFORMATION ##### @@ -41,52 +34,51 @@ ###### CONSTANTS ##### BINARY_DICTIONARY_NAME = 'mydic.dict' - ############## IDEOLOGY INFORMATION ############## - -labels = ('extreme left', 'left', 'left of middle', 'right of middle', 'right', 'extreme right') - -outlets_by_ideology = { - 'extreme left': { - 'The Guardian': '10513336322', - 'Al Jazeera': '7382473689', - 'NPR': '10643211755', - 'New York Times': '5281959998', - 'The New Yorker': '9258148868', - 'Slate': '21516776437'}, - 'left': { - 'PBS': '19013582168', - 'BBC News': '228735667216', - 'HuffPost': '18468761129', - 'Washington Post': '6250307292', - 'The Economist': '6013004059', - 'Politico': '62317591679'}, - 'left of middle': { - 'CBS News': '131459315949', - 'ABC News': '86680728811', - 'USA Today': '13652355666', - 'NBC News': '155869377766434', - 'CNN': '5550296508', - 'MSNBC': '273864989376427'}, - 'right of middle': { - 'Wall Street Journal': '8304333127', - 'Yahoo News': '338028696036'}, - 'right': { - 'Fox News': '15704546335'}, - 'extreme right': { - 'Breitbart': '95475020353', - 'The Blaze': '140738092630206'}} - - -def id2ideology(_id): - for ideology_label, innerdict in outlets_by_ideology.items(): - for outlet_name, outlet_id in innerdict.items(): - if _id == outlet_id: - return ideology_label - return None - -def label2alphanumeric(label): - return '_'.join(label.lower().split(' ')) +# +# labels = ('extreme left', 'left', 'left of middle', 'right of middle', 'right', 'extreme right') +# +# outlets_by_ideology = { +# 'extreme left': { +# 'The Guardian': '10513336322', +# 'Al Jazeera': '7382473689', +# 'NPR': '10643211755', +# 'New York Times': '5281959998', +# 'The New Yorker': '9258148868', +# 'Slate': '21516776437'}, +# 'left': { +# 'PBS': '19013582168', +# 'BBC News': '228735667216', +# 'HuffPost': '18468761129', +# 'Washington Post': '6250307292', +# 'The Economist': '6013004059', +# 'Politico': '62317591679'}, +# 'left of middle': { +# 'CBS News': '131459315949', +# 'ABC News': '86680728811', +# 'USA Today': '13652355666', +# 'NBC News': '155869377766434', +# 'CNN': '5550296508', +# 'MSNBC': '273864989376427'}, +# 'right of middle': { +# 'Wall Street Journal': '8304333127', +# 'Yahoo News': '338028696036'}, +# 'right': { +# 'Fox News': '15704546335'}, +# 'extreme right': { +# 'Breitbart': '95475020353', +# 'The Blaze': '140738092630206'}} +# +# +# def id2ideology(_id): +# for ideology_label, innerdict in outlets_by_ideology.items(): +# for outlet_name, outlet_id in innerdict.items(): +# if _id == outlet_id: +# return ideology_label +# return None +# +# def label2alphanumeric(label): +# return '_'.join(label.lower().split(' ')) # # poster_id2outlet_label = {poster_id: poster_name for ide_bin_dict in outlets_by_ideology.values() for poster_name, poster_id in ide_bin_dict.items()} # diff --git a/patmtk/patm/discreetization.py b/src/topic_modeling_toolkit/patm/discreetization.py similarity index 99% rename from patmtk/patm/discreetization.py rename to src/topic_modeling_toolkit/patm/discreetization.py index 33d2654..8ed0958 100644 --- a/patmtk/patm/discreetization.py +++ b/src/topic_modeling_toolkit/patm/discreetization.py @@ -1,12 +1,18 @@ -from collections import Counter, OrderedDict +import random from functools import reduce -from .definitions import SCALE_PLACEMENT, DISCREETIZATION +from types import MethodType +from collections import Counter, OrderedDict + import attr +import numpy as np +from scipy.stats import entropy as scipy_entropy + import logging logger = logging.getLogger(__name__) -from types import MethodType + +from .definitions import SCALE_PLACEMENT, DISCREETIZATION def distr(ds_scheme, psm): @@ -248,9 +254,6 @@ def __len__(self): return len(self.seps) -import random -import numpy as np -from scipy.stats import entropy as scipy_entropy @attr.s diff --git a/patmtk/patm/evaluation/__init__.py b/src/topic_modeling_toolkit/patm/evaluation/__init__.py similarity index 100% rename from patmtk/patm/evaluation/__init__.py rename to src/topic_modeling_toolkit/patm/evaluation/__init__.py diff --git a/patmtk/patm/evaluation/base_evaluator.py b/src/topic_modeling_toolkit/patm/evaluation/base_evaluator.py similarity index 98% rename from patmtk/patm/evaluation/base_evaluator.py rename to src/topic_modeling_toolkit/patm/evaluation/base_evaluator.py index e05639e..0d03042 100644 --- a/patmtk/patm/evaluation/base_evaluator.py +++ b/src/topic_modeling_toolkit/patm/evaluation/base_evaluator.py @@ -1,7 +1,7 @@ import warnings from abc import ABCMeta, abstractmethod from artm.scores import * -from patm.definitions import DEFAULT_CLASS_NAME, IDEOLOGY_CLASS_NAME +from topic_modeling_toolkit.patm.definitions import DEFAULT_CLASS_NAME, IDEOLOGY_CLASS_NAME # # class MetaEvaluator: diff --git a/patmtk/patm/evaluation/scorer_factory.py b/src/topic_modeling_toolkit/patm/evaluation/scorer_factory.py similarity index 97% rename from patmtk/patm/evaluation/scorer_factory.py rename to src/topic_modeling_toolkit/patm/evaluation/scorer_factory.py index e0db07e..6e109fa 100644 --- a/patmtk/patm/evaluation/scorer_factory.py +++ b/src/topic_modeling_toolkit/patm/evaluation/scorer_factory.py @@ -1,7 +1,7 @@ import os import json from .base_evaluator import * -from patm.definitions import DEFAULT_CLASS_NAME, IDEOLOGY_CLASS_NAME +from topic_modeling_toolkit.patm.definitions import DEFAULT_CLASS_NAME, IDEOLOGY_CLASS_NAME import logging logger = logging.getLogger(__name__) diff --git a/patmtk/patm/logging.ini b/src/topic_modeling_toolkit/patm/logging.ini similarity index 100% rename from patmtk/patm/logging.ini rename to src/topic_modeling_toolkit/patm/logging.ini diff --git a/patmtk/patm/modeling/__init__.py b/src/topic_modeling_toolkit/patm/modeling/__init__.py similarity index 100% rename from patmtk/patm/modeling/__init__.py rename to src/topic_modeling_toolkit/patm/modeling/__init__.py diff --git a/patmtk/patm/modeling/dataset_extraction.py b/src/topic_modeling_toolkit/patm/modeling/dataset_extraction.py similarity index 95% rename from patmtk/patm/modeling/dataset_extraction.py rename to src/topic_modeling_toolkit/patm/modeling/dataset_extraction.py index fe68346..4ab88bf 100644 --- a/patmtk/patm/modeling/dataset_extraction.py +++ b/src/topic_modeling_toolkit/patm/modeling/dataset_extraction.py @@ -2,8 +2,8 @@ import os import pandas as pd -from patm.definitions import CATEGORY_2_FILES_HASH -from processors.mutators import StringToFieldsGenerator +from topic_modeling_toolkit.patm.definitions import CATEGORY_2_FILES_HASH +from topic_modeling_toolkit.processors.mutators import StringToFieldsGenerator class CategoryToFieldsGenerator(StringToFieldsGenerator): diff --git a/patmtk/patm/modeling/experiment.py b/src/topic_modeling_toolkit/patm/modeling/experiment.py similarity index 99% rename from patmtk/patm/modeling/experiment.py rename to src/topic_modeling_toolkit/patm/modeling/experiment.py index 35e9632..e9fd77a 100644 --- a/patmtk/patm/modeling/experiment.py +++ b/src/topic_modeling_toolkit/patm/modeling/experiment.py @@ -1,6 +1,6 @@ from .model_factory import ModelFactory from .persistence import ResultsWL, ModelWL -from patm.modeling.regularization.regularizers_factory import REGULARIZER_TYPE_2_DYNAMIC_PARAMETERS_HASH as DYN_COEFS +from .regularization.regularizers_factory import REGULARIZER_TYPE_2_DYNAMIC_PARAMETERS_HASH as DYN_COEFS class Experiment: diff --git a/patmtk/patm/modeling/model_factory.py b/src/topic_modeling_toolkit/patm/modeling/model_factory.py similarity index 97% rename from patmtk/patm/modeling/model_factory.py rename to src/topic_modeling_toolkit/patm/modeling/model_factory.py index 3dc49e4..62d9462 100644 --- a/patmtk/patm/modeling/model_factory.py +++ b/src/topic_modeling_toolkit/patm/modeling/model_factory.py @@ -2,10 +2,9 @@ from .topic_model import TopicModel, TrainSpecs from ..evaluation.scorer_factory import EvaluationFactory -from patm.definitions import DEFAULT_CLASS_NAME, IDEOLOGY_CLASS_NAME -from patm.utils import cfg2model_settings -from patm.utils import generic_topic_names_builder as tn_builder -from patm.modeling.regularization.regularizers_factory import RegularizersFactory, cfg2regularizer_settings +from topic_modeling_toolkit.patm.definitions import DEFAULT_CLASS_NAME, IDEOLOGY_CLASS_NAME +from topic_modeling_toolkit.patm.utils import cfg2model_settings, generic_topic_names_builder as tn_builder +from .regularization.regularizers_factory import RegularizersFactory, cfg2regularizer_settings import logging diff --git a/patmtk/patm/modeling/persistence.py b/src/topic_modeling_toolkit/patm/modeling/persistence.py similarity index 98% rename from patmtk/patm/modeling/persistence.py rename to src/topic_modeling_toolkit/patm/modeling/persistence.py index 88fe6e0..9f271f2 100644 --- a/patmtk/patm/modeling/persistence.py +++ b/src/topic_modeling_toolkit/patm/modeling/persistence.py @@ -1,9 +1,9 @@ import os import abc from glob import glob -from patm.definitions import MODELS_DIR_NAME, RESULTS_DIR_NAME +from topic_modeling_toolkit.patm.definitions import MODELS_DIR_NAME, RESULTS_DIR_NAME import attr -from results import ExperimentalResults +from topic_modeling_toolkit.results import ExperimentalResults import logging logger = logging.getLogger(__name__) diff --git a/patmtk/patm/modeling/regularization/__init__.py b/src/topic_modeling_toolkit/patm/modeling/regularization/__init__.py similarity index 100% rename from patmtk/patm/modeling/regularization/__init__.py rename to src/topic_modeling_toolkit/patm/modeling/regularization/__init__.py diff --git a/src/topic_modeling_toolkit/patm/modeling/regularization/regularizers.cfg b/src/topic_modeling_toolkit/patm/modeling/regularization/regularizers.cfg new file mode 100644 index 0000000..210a467 --- /dev/null +++ b/src/topic_modeling_toolkit/patm/modeling/regularization/regularizers.cfg @@ -0,0 +1,81 @@ +# each regularizer r_i is multiplied by a non-negative tau_i and added to the likelihood formula + +# tau coefficients can take either a float or a trajectory definition +# alpha_iter can take either a float or a trajectory definition + +# for smoothing tau = 1 is a good choice. It simpy enables smoothing (like LDA does) + +# for sparsing it is recommended, according to theory, to keep the regularizer deactivated for a number of epochs initially and then to make the tau coefficient follow a dynamic trajectory: +# 'start' indicates the number of initial dataset iterations (epochs) to keep the regularizer deactivated. Basically sets tau to 0 (zero). +# a syntax like 'linear_-1_-10 should be used to indicate a trajectory; eg the tau will start from value -1 and linearly reach -10, as the epochs progress + +# EG: epoch=10, start=2, tau=linear_-5_-19 will result tau having values [0, 0, -5, -7, -9, -11, -13, -15, -17, -19] (each element corresponds to 1 epoch) + +# alpha_iter evaluates to a list of additional coefficients of regularization on each iteration over document. Basically for every iteration over a document (not dataset) the user +# has the option of using a different coefficient, instead of a constant one. If float then all document passes use the same coefficient. Similarly to tau, you can input a trajectory. +# if alpha iter not set it defaults to a constant coefficient of 1 + + +[smooth-phi] # smooths for background topics +tau = 1 +[smooth-theta] # smooths for background topics +tau = 1 +alpha_iter = 1 + +[sparse-phi] # sparses for domain topics +start = 4 +tau = linear_-5_-15 + +[sparse-theta] # sparses for domain topics +start = 3 +alpha_iter = 1 +tau = linear_-3_-10 +# tau = cubic_-3_-10 + +[label-regularization-phi-dom-cls] +tau = 100 +gamma = + +# Smooth Psi distributions +[smooth-phi-dom-cls] +tau = 1 + +[decorrelate-phi-dom-def] +tau = 1.5e+5 + +[decorrelate-phi-dom-cls] +tau = 1.5e+5 + +# can be used to expand the probability space to DxWxTxC eg author-topic model +[label-regularization-phi] +tau = 1 +gamma = + +[improve-coherence] +tau = 1 + +[label-regularization-phi-dom-all] +tau = 10000 +gamma = + + +## DECORRELATE TOPICS + +[decorrelate-phi-def] +tau = 1.5e+5 + +[decorrelate-phi-class] +tau = 1.5e+5 + +[decorrelate-phi-domain] +# tau = 1.5e+5 +tau = 1.0e+5 +[decorrelate-phi-background] +tau = 1.0e+5 + +# [decorrelate-phi-background] +# tau = 0.75e+5 +[smooth-phi-bac-cls] +tau = 1 +[smooth-phi-cls] +tau = 1 \ No newline at end of file diff --git a/patmtk/patm/modeling/regularization/regularizers.py b/src/topic_modeling_toolkit/patm/modeling/regularization/regularizers.py similarity index 100% rename from patmtk/patm/modeling/regularization/regularizers.py rename to src/topic_modeling_toolkit/patm/modeling/regularization/regularizers.py diff --git a/patmtk/patm/modeling/regularization/regularizers_factory.py b/src/topic_modeling_toolkit/patm/modeling/regularization/regularizers_factory.py similarity index 92% rename from patmtk/patm/modeling/regularization/regularizers_factory.py rename to src/topic_modeling_toolkit/patm/modeling/regularization/regularizers_factory.py index 6c9eb1e..6b381f7 100644 --- a/patmtk/patm/modeling/regularization/regularizers_factory.py +++ b/src/topic_modeling_toolkit/patm/modeling/regularization/regularizers_factory.py @@ -1,9 +1,10 @@ +from os import path import artm from collections import OrderedDict from configparser import ConfigParser -from patm.utils import cfg2model_settings -from patm.definitions import REGULARIZERS_CFG, DEFAULT_CLASS_NAME, IDEOLOGY_CLASS_NAME # this is the name of the default modality. it is irrelevant to class lebels or document lcassification +from topic_modeling_toolkit.patm.utils import cfg2model_settings +from topic_modeling_toolkit.patm.definitions import DEFAULT_CLASS_NAME, IDEOLOGY_CLASS_NAME # this is the name of the default modality. it is irrelevant to class lebels or document lcassification from .regularizers import ArtmRegularizerWrapper @@ -12,11 +13,8 @@ import attr - -def cfg2regularizer_settings(cfg_file): - config = ConfigParser() - config.read(u'{}'.format(cfg_file)) - return OrderedDict([(str(section), OrderedDict([(str(setting_name), parameter_name2encoder[str(setting_name)](value)) for setting_name, value in config.items(section) if value])) for section in config.sections()]) +my_dir = path.dirname(path.realpath(__file__)) +REGULARIZERS_CFG = path.join(my_dir, './regularizers.cfg') set1 = ('tau', 'gamma', 'class_ids', 'topic_names') @@ -224,6 +222,15 @@ def _abbreviation(reg_type): raise ValueError("Either input a string representing a regularizer type (immplying that the name should be inferred as an abbreviation) or a tuple holding both the type and the name") +def cfg2regularizer_settings(cfg_file): + config = ConfigParser() + config.read(u'{}'.format(cfg_file)) + return OrderedDict([(str(section), + OrderedDict([(str(setting_name), + parameter_name2encoder[str(setting_name)](value)) for setting_name, value in config.items(section) if value]) + ) for section in config.sections()]) + + def _parse_reg_cfg(regs_config): reg_initialization_type2_dict = {'dict': lambda x: x, 'OrderedDict': lambda x: x, @@ -233,16 +240,17 @@ def _parse_reg_cfg(regs_config): def _create_reg_settings(self): regs_init_params = {} + _settings = _parse_reg_cfg(self.reg_cfg) for reg_unique_type, reg_name in self.regs_hash.items(): try: - regs_init_params[reg_unique_type] = dict(_parse_reg_cfg(self.reg_cfg)[reg_unique_type], **{'name': reg_name}) + regs_init_params[reg_unique_type] = dict(_settings[reg_unique_type], **{'name': reg_name}) except KeyError: - raise KeyError( - "Keys in regs_cfg: [{}], keys requested as active regularizers: [{}], current key: {}, name: {}. " - "Probably you forgot to add the corresponding entry in 'train.cfg' and/or 'regularizers.cfg'".format( - ', '.join(sorted(self.reg_cfg.keys())), - ', '.join(sorted(self.reg_cfg.keys())), - reg_unique_type, reg_name)) + raise KeyError("'reg_cfg' {} resulting in settings {}, does not have key '{}'. Probably you forgot to add the corresponding entry in 'train.cfg' and/or 'regularizers.cfg'".format(self.reg_cfg, _settings, reg_unique_type)) + # "Keys in regs_cfg: [{}], keys requested as active regularizers: [{}], current key: {}, name: {}. " + # "Probably you forgot to add the corresponding entry in 'train.cfg' and/or 'regularizers.cfg'".format( + # ', '.join(sorted(self.reg_cfg.keys())), + # ', '.join(sorted(self.reg_cfg.keys())), + # reg_unique_type, reg_name)) return regs_init_params diff --git a/patmtk/patm/modeling/regularization/trajectory.py b/src/topic_modeling_toolkit/patm/modeling/regularization/trajectory.py similarity index 100% rename from patmtk/patm/modeling/regularization/trajectory.py rename to src/topic_modeling_toolkit/patm/modeling/regularization/trajectory.py diff --git a/patmtk/patm/modeling/topic_model.py b/src/topic_modeling_toolkit/patm/modeling/topic_model.py similarity index 99% rename from patmtk/patm/modeling/topic_model.py rename to src/topic_modeling_toolkit/patm/modeling/topic_model.py index d9d2848..e46b939 100644 --- a/patmtk/patm/modeling/topic_model.py +++ b/src/topic_modeling_toolkit/patm/modeling/topic_model.py @@ -3,7 +3,7 @@ import warnings from collections import Counter -from patm.modeling.regularization.regularizers_factory import REGULARIZER_TYPE_2_DYNAMIC_PARAMETERS_HASH +from .regularization.regularizers_factory import REGULARIZER_TYPE_2_DYNAMIC_PARAMETERS_HASH class TopicModel(object): diff --git a/patmtk/patm/modeling/trainer.py b/src/topic_modeling_toolkit/patm/modeling/trainer.py similarity index 100% rename from patmtk/patm/modeling/trainer.py rename to src/topic_modeling_toolkit/patm/modeling/trainer.py diff --git a/patmtk/patm/pipe_handler.py b/src/topic_modeling_toolkit/patm/pipe_handler.py similarity index 99% rename from patmtk/patm/pipe_handler.py rename to src/topic_modeling_toolkit/patm/pipe_handler.py index 5354a8b..90a16b3 100644 --- a/patmtk/patm/pipe_handler.py +++ b/src/topic_modeling_toolkit/patm/pipe_handler.py @@ -11,7 +11,7 @@ from .modeling.dataset_extraction import CategoryToFieldsGenerator from .dataset import TextDataset -from processors import Pipeline +from topic_modeling_toolkit.processors import Pipeline from .definitions import IDEOLOGY_CLASS_NAME, COOCURENCE_DICT_FILE_NAMES# = ['cooc_tf_', 'cooc_df_', 'ppmi_tf_', 'ppmi_df_'] diff --git a/patmtk/patm/tuning/__init__.py b/src/topic_modeling_toolkit/patm/tuning/__init__.py similarity index 100% rename from patmtk/patm/tuning/__init__.py rename to src/topic_modeling_toolkit/patm/tuning/__init__.py diff --git a/patmtk/patm/tuning/parameters.py b/src/topic_modeling_toolkit/patm/tuning/parameters.py similarity index 100% rename from patmtk/patm/tuning/parameters.py rename to src/topic_modeling_toolkit/patm/tuning/parameters.py diff --git a/patmtk/patm/tuning/tuner.py b/src/topic_modeling_toolkit/patm/tuning/tuner.py similarity index 98% rename from patmtk/patm/tuning/tuner.py rename to src/topic_modeling_toolkit/patm/tuning/tuner.py index 7299ab9..8138e04 100644 --- a/patmtk/patm/tuning/tuner.py +++ b/src/topic_modeling_toolkit/patm/tuning/tuner.py @@ -6,9 +6,8 @@ from types import FunctionType from tqdm import tqdm from .parameters import ParameterGrid -from patm.modeling.trainer import TrainerFactory -from patm.modeling.experiment import Experiment -from patm.definitions import DEFAULT_CLASS_NAME, IDEOLOGY_CLASS_NAME # this is the name of the default modality. it is irrelevant to class lebels or document lcassification +from ..modeling import TrainerFactory, Experiment +from ..definitions import DEFAULT_CLASS_NAME, IDEOLOGY_CLASS_NAME # this is the name of the default modality. it is irrelevant to class lebels or document lcassification @attr.s diff --git a/patmtk/patm/utils.py b/src/topic_modeling_toolkit/patm/utils.py similarity index 99% rename from patmtk/patm/utils.py rename to src/topic_modeling_toolkit/patm/utils.py index 776a355..ccb3a27 100644 --- a/patmtk/patm/utils.py +++ b/src/topic_modeling_toolkit/patm/utils.py @@ -4,7 +4,6 @@ import json from configparser import ConfigParser from collections import OrderedDict -from .definitions import TRAIN_CFG _section2encoder = { diff --git a/patmtk/processors/__init__.py b/src/topic_modeling_toolkit/processors/__init__.py similarity index 100% rename from patmtk/processors/__init__.py rename to src/topic_modeling_toolkit/processors/__init__.py diff --git a/patmtk/processors/disk_writer_processors.py b/src/topic_modeling_toolkit/processors/disk_writer_processors.py similarity index 100% rename from patmtk/processors/disk_writer_processors.py rename to src/topic_modeling_toolkit/processors/disk_writer_processors.py diff --git a/patmtk/processors/generator_processors.py b/src/topic_modeling_toolkit/processors/generator_processors.py similarity index 100% rename from patmtk/processors/generator_processors.py rename to src/topic_modeling_toolkit/processors/generator_processors.py diff --git a/patmtk/processors/mutators/__init__.py b/src/topic_modeling_toolkit/processors/mutators/__init__.py similarity index 100% rename from patmtk/processors/mutators/__init__.py rename to src/topic_modeling_toolkit/processors/mutators/__init__.py diff --git a/patmtk/processors/mutators/mutators.py b/src/topic_modeling_toolkit/processors/mutators/mutators.py similarity index 92% rename from patmtk/processors/mutators/mutators.py rename to src/topic_modeling_toolkit/processors/mutators/mutators.py index 17a1522..62444c7 100644 --- a/patmtk/processors/mutators/mutators.py +++ b/src/topic_modeling_toolkit/processors/mutators/mutators.py @@ -1,5 +1,5 @@ from gensim.corpora import Dictionary -from processors.processor import StateLessProcessor, PostUpdateSFProcessor, ElementCountingProcessor +from topic_modeling_toolkit.processors.processor import StateLessProcessor, PostUpdateSFProcessor, ElementCountingProcessor class TokenGeneratorToList(StateLessProcessor): diff --git a/patmtk/processors/pipeline.py b/src/topic_modeling_toolkit/processors/pipeline.py similarity index 93% rename from patmtk/processors/pipeline.py rename to src/topic_modeling_toolkit/processors/pipeline.py index 189095f..cb8f008 100644 --- a/patmtk/processors/pipeline.py +++ b/src/topic_modeling_toolkit/processors/pipeline.py @@ -1,11 +1,11 @@ from collections import OrderedDict from configparser import ConfigParser -from processors.string_processors import MonoSpacer, StringProcessor, LowerCaser, UtfEncoder, DeAccenter, StringLemmatizer -from processors.generator_processors import GeneratorProcessor, MinLengthFilter, MaxLengthFilter, WordToNgramGenerator -from processors.string2generator import StringToTokenGenerator -from processors import Processor, InitializationNeededComponent, FinalizationNeededComponent, BaseDiskWriterWithPrologue -from processors.mutators import GensimDictTokenGeneratorToListProcessor, OneElemListOfListToGenerator +from topic_modeling_toolkit.processors.string_processors import MonoSpacer, StringProcessor, LowerCaser, UtfEncoder, DeAccenter, StringLemmatizer +from topic_modeling_toolkit.processors.generator_processors import GeneratorProcessor, MinLengthFilter, MaxLengthFilter, WordToNgramGenerator +from topic_modeling_toolkit.processors.string2generator import StringToTokenGenerator +from topic_modeling_toolkit.processors import Processor, InitializationNeededComponent, FinalizationNeededComponent, BaseDiskWriterWithPrologue +from topic_modeling_toolkit.processors.mutators import GensimDictTokenGeneratorToListProcessor, OneElemListOfListToGenerator from .disk_writer_processors import UciFormatWriter, VowpalFormatWriter from .processor import BaseDiskWriter diff --git a/patmtk/processors/processor.py b/src/topic_modeling_toolkit/processors/processor.py similarity index 100% rename from patmtk/processors/processor.py rename to src/topic_modeling_toolkit/processors/processor.py diff --git a/patmtk/processors/string2generator.py b/src/topic_modeling_toolkit/processors/string2generator.py similarity index 100% rename from patmtk/processors/string2generator.py rename to src/topic_modeling_toolkit/processors/string2generator.py diff --git a/patmtk/processors/string_processors.py b/src/topic_modeling_toolkit/processors/string_processors.py similarity index 100% rename from patmtk/processors/string_processors.py rename to src/topic_modeling_toolkit/processors/string_processors.py diff --git a/patmtk/report_datasets.py b/src/topic_modeling_toolkit/report_datasets.py similarity index 75% rename from patmtk/report_datasets.py rename to src/topic_modeling_toolkit/report_datasets.py index b69d7b1..e836f11 100644 --- a/patmtk/report_datasets.py +++ b/src/topic_modeling_toolkit/report_datasets.py @@ -1,7 +1,8 @@ #!/usr/bin/env python +import os import argparse -from reporting.dataset_reporter import DatasetReporter +from topic_modeling_toolkit.reporting import DatasetReporter def get_cli_arguments(): @@ -10,11 +11,13 @@ def get_cli_arguments(): parser.add_argument('--select-dataset', '-s', dest='dataset_label', help='Whether to show information about a specific dataset only.') return parser.parse_args() - -if __name__ == '__main__': - cols_root_dir = '/data/thesis/data/collections' +def main(): + collections_dir = os.getenv('COLLECTIONS_DIR') + if not collections_dir: + raise RuntimeError( + "Please set the COLLECTIONS_DIR environment variable with the path to a directory containing collections/datasets") args = get_cli_arguments() - dt_rprt = DatasetReporter(cols_root_dir) + dt_rprt = DatasetReporter(collections_dir) multiline_datasets_strings = dt_rprt.get_infos(details=args.details, selection=args.dataset_label) @@ -30,3 +33,7 @@ def get_cli_arguments(): # b = '\n'.join(dt_rprt.get_infos(details=args.details)) else: print('\n'.join(multiline_datasets_strings)) + + +if __name__ == '__main__': + main() diff --git a/patmtk/report-KL.py b/src/topic_modeling_toolkit/report_kl.py similarity index 72% rename from patmtk/report-KL.py rename to src/topic_modeling_toolkit/report_kl.py index 4dfce39..b2a534d 100644 --- a/patmtk/report-KL.py +++ b/src/topic_modeling_toolkit/report_kl.py @@ -2,7 +2,7 @@ import os import click -from reporting.psi import PsiReporter +from .reporting import PsiReporter import logging @@ -13,9 +13,12 @@ @click.argument('dataset') @click.option('-m', '--model') def main(dataset, model): - from patm.definitions import COLLECTIONS_DIR_PATH + collections_dir = os.getenv('COLLECTIONS_DIR') + if not collections_dir: + raise RuntimeError( + "Please set the COLLECTIONS_DIR environment variable with the path to a directory containing collections/datasets") reporter = PsiReporter() - dataset_path = os.path.join(COLLECTIONS_DIR_PATH, dataset) + dataset_path = os.path.join(collections_dir, dataset) reporter.dataset = dataset_path print("Classes: [{}]".format(', '.join("'{}'".format(x) for x in reporter.dataset.class_names))) diff --git a/patmtk/report_models.py b/src/topic_modeling_toolkit/report_models.py similarity index 60% rename from patmtk/report_models.py rename to src/topic_modeling_toolkit/report_models.py index ca3e8de..7f0caed 100644 --- a/patmtk/report_models.py +++ b/src/topic_modeling_toolkit/report_models.py @@ -1,8 +1,8 @@ #!/usr/bin/env python import argparse -from reporting import ModelReporter -from reporting.reporter import InvalidMetricException +from topic_modeling_toolkit.reporting import ModelReporter +from topic_modeling_toolkit.reporting.reporter import InvalidMetricException def get_cli_arguments(): @@ -13,30 +13,32 @@ def get_cli_arguments(): return parser.parse_args() -if __name__ == '__main__': - +def main(): COLUMNS = [ 'nb-topics', - 'collection-passes', - 'document-passes', - # 'total-phi-updates', - 'perplexity', - 'kernel-size', - 'kernel-coherence', - 'kernel-contrast', - 'kernel-purity', - 'top-tokens-coherence', - 'sparsity-phi', - 'sparsity-theta', - 'background-tokens-ratio', - 'regularizers' - ] + 'collection-passes', + 'document-passes', + # 'total-phi-updates', + 'perplexity', + 'kernel-size', + 'kernel-coherence', + 'kernel-contrast', + 'kernel-purity', + 'top-tokens-coherence', + 'sparsity-phi', + 'sparsity-theta', + 'background-tokens-ratio', + 'regularizers' + ] cli_args = get_cli_arguments() - sort_metric = cli_args.sort - from patm.definitions import COLLECTIONS_DIR_PATH - model_reporter = ModelReporter(COLLECTIONS_DIR_PATH) + + collections_dir = os.getenv('COLLECTIONS_DIR') + if not collections_dir: + raise RuntimeError( + "Please set the COLLECTIONS_DIR environment variable with the path to a directory containing collections/datasets") + model_reporter = ModelReporter(collections_dir) while 1: try: s = model_reporter.get_formatted_string(cli_args.dataset, columns=COLUMNS, metric=sort_metric, verbose=True) @@ -45,3 +47,7 @@ def get_cli_arguments(): except InvalidMetricException as e: print(e) sort_metric = input("Please input another metric to sort (blank for 'perplexity'): ") + + +if __name__ == '__main__': + main() diff --git a/patmtk/report_topics.py b/src/topic_modeling_toolkit/report_topics.py similarity index 90% rename from patmtk/report_topics.py rename to src/topic_modeling_toolkit/report_topics.py index 1383a3c..acc0c83 100644 --- a/patmtk/report_topics.py +++ b/src/topic_modeling_toolkit/report_topics.py @@ -1,7 +1,7 @@ #!/usr/bin/env python import click -from reporting import TopicsHandler +from topic_modeling_toolkit.reporting import TopicsHandler @click.command() @@ -29,8 +29,10 @@ @click.option('--show_title/--no-show_title', show_default=True, default=False, help="Whether to print a title on top of the table of topics ") def main(dataset, model_label, topics_set, tokens_type, sort, columns, number_of_tokens, show_metrics, show_title): - from patm.definitions import COLLECTIONS_DIR_PATH - topic_handler = TopicsHandler(COLLECTIONS_DIR_PATH) + collections_dir = os.getenv('COLLECTIONS_DIR') + if not collections_dir: + raise RuntimeError("Please set the COLLECTIONS_DIR environment variable with the path to a directory containing collections/datasets") + topic_handler = TopicsHandler(collections_dir) if topics_set == 'background': b = topic_handler.pformat_background([dataset, model_label], columns=columns, diff --git a/patmtk/reporting/__init__.py b/src/topic_modeling_toolkit/reporting/__init__.py similarity index 50% rename from patmtk/reporting/__init__.py rename to src/topic_modeling_toolkit/reporting/__init__.py index fef4096..3fe6a4a 100644 --- a/patmtk/reporting/__init__.py +++ b/src/topic_modeling_toolkit/reporting/__init__.py @@ -1,4 +1,6 @@ from .model_selection import ResultsHandler from .reporter import ModelReporter -# from .graph_builder import GraphMaker +from .dataset_reporter import DatasetReporter from .topics import TopicsHandler +from .graph_builder import GraphMaker +from .psi import PsiReporter \ No newline at end of file diff --git a/patmtk/reporting/dataset_reporter.py b/src/topic_modeling_toolkit/reporting/dataset_reporter.py similarity index 95% rename from patmtk/reporting/dataset_reporter.py rename to src/topic_modeling_toolkit/reporting/dataset_reporter.py index e7859de..cfc9062 100644 --- a/patmtk/reporting/dataset_reporter.py +++ b/src/topic_modeling_toolkit/reporting/dataset_reporter.py @@ -1,12 +1,10 @@ -#!/home/kostas/software_and_libs/anaconda2/bin/python - import os import re import glob import argparse from collections import Counter -from patm.dataset import TextDataset -from patm.definitions import BINARY_DICTIONARY_NAME, COOCURENCE_DICT_FILE_NAMES +from topic_modeling_toolkit.patm.dataset import TextDataset +from topic_modeling_toolkit.patm.definitions import BINARY_DICTIONARY_NAME, COOCURENCE_DICT_FILE_NAMES class bcolors(object): diff --git a/patmtk/reporting/fitness.py b/src/topic_modeling_toolkit/reporting/fitness.py similarity index 100% rename from patmtk/reporting/fitness.py rename to src/topic_modeling_toolkit/reporting/fitness.py diff --git a/patmtk/reporting/graph_builder.py b/src/topic_modeling_toolkit/reporting/graph_builder.py similarity index 100% rename from patmtk/reporting/graph_builder.py rename to src/topic_modeling_toolkit/reporting/graph_builder.py diff --git a/patmtk/reporting/model_selection.py b/src/topic_modeling_toolkit/reporting/model_selection.py similarity index 99% rename from patmtk/reporting/model_selection.py rename to src/topic_modeling_toolkit/reporting/model_selection.py index 43162f5..704472b 100644 --- a/patmtk/reporting/model_selection.py +++ b/src/topic_modeling_toolkit/reporting/model_selection.py @@ -6,7 +6,7 @@ import attr -from results import ExperimentalResults +from topic_modeling_toolkit.results import ExperimentalResults from .fitness import FitnessFunction diff --git a/patmtk/reporting/psi.py b/src/topic_modeling_toolkit/reporting/psi.py similarity index 99% rename from patmtk/reporting/psi.py rename to src/topic_modeling_toolkit/reporting/psi.py index c3d14fe..c08f574 100644 --- a/patmtk/reporting/psi.py +++ b/src/topic_modeling_toolkit/reporting/psi.py @@ -5,7 +5,7 @@ from collections import defaultdict import attr from math import log -from results.experimental_results import ExperimentalResults +from topic_modeling_toolkit.results.experimental_results import ExperimentalResults import artm import warnings import pandas as pd diff --git a/patmtk/reporting/reporter.py b/src/topic_modeling_toolkit/reporting/reporter.py similarity index 100% rename from patmtk/reporting/reporter.py rename to src/topic_modeling_toolkit/reporting/reporter.py diff --git a/patmtk/reporting/topics.py b/src/topic_modeling_toolkit/reporting/topics.py similarity index 99% rename from patmtk/reporting/topics.py rename to src/topic_modeling_toolkit/reporting/topics.py index 21e710b..ced056d 100644 --- a/patmtk/reporting/topics.py +++ b/src/topic_modeling_toolkit/reporting/topics.py @@ -6,7 +6,7 @@ from operator import itemgetter import warnings -from results import ExperimentalResults +from topic_modeling_toolkit.results import ExperimentalResults def parse_sort(sort_def): diff --git a/src/topic_modeling_toolkit/results/__init__.py b/src/topic_modeling_toolkit/results/__init__.py new file mode 100644 index 0000000..9e3cc7f --- /dev/null +++ b/src/topic_modeling_toolkit/results/__init__.py @@ -0,0 +1,5 @@ +from .experimental_results import ExperimentalResults +# import logging +# import logging.config +# +# logger = logging.getLogger(__name__) diff --git a/patmtk/results/experimental_results.py b/src/topic_modeling_toolkit/results/experimental_results.py similarity index 100% rename from patmtk/results/experimental_results.py rename to src/topic_modeling_toolkit/results/experimental_results.py diff --git a/src/topic_modeling_toolkit/results/logging.ini b/src/topic_modeling_toolkit/results/logging.ini new file mode 100644 index 0000000..2747f41 --- /dev/null +++ b/src/topic_modeling_toolkit/results/logging.ini @@ -0,0 +1,38 @@ +;### DECLARATIONS +;[loggers] +;keys=root +; +;[handlers] +;keys=consoleHandler,fileHandler +; +;[formatters] +;keys=compactFormatter,simpleFormatter +; +; +;[logger_root] +;level=INFO +;handlers=consoleHandler,fileHandler +; +; +;### HANDLERS DEFINITIONS (LOGGER listeners) +;[handler_consoleHandler] +;class=StreamHandler +;level=DEBUG +;formatter=compactFormatter +;args=(sys.stdout,) +; +;[handler_fileHandler] +;class=FileHandler +;level=DEBUG +;formatter=simpleFormatter +;args=("file.log",) +; +; +;### FORMATTERS DEFINITIONS (serializers) +;[formatter_compactFormatter] +;format=%(name)s-%(levelname)s: %(message)s +; +;[formatter_simpleFormatter] +;format=%(asctime)s %(name)s - %(levelname)s: %(message)s +; +; diff --git a/patmtk/train.py b/src/topic_modeling_toolkit/train.py similarity index 75% rename from patmtk/train.py rename to src/topic_modeling_toolkit/train.py index 09d514c..4549549 100644 --- a/patmtk/train.py +++ b/src/topic_modeling_toolkit/train.py @@ -4,8 +4,7 @@ import sys import argparse -from patm.modeling import TrainerFactory, Experiment -from patm.definitions import COLLECTIONS_DIR_PATH, REGULARIZERS_CFG +from topic_modeling_toolkit.patm import TrainerFactory, Experiment def get_cl_arguments(): @@ -13,7 +12,7 @@ def get_cl_arguments(): parser.add_argument('collection', help='the name for the collection to train on') parser.add_argument('config', help='the .cfg file to use for constructing and training the topic_model') parser.add_argument('label', metavar='id', default='def', help='a unique identifier used for a newly created model') - parser.add_argument('--reg-config', '--r-c', dest='reg_config', default=REGULARIZERS_CFG, help='the .cfg file containing initialization parameters for the active regularizers') + parser.add_argument('--reg-config', '--r-c', dest='reg_config', help='the .cfg file containing initialization parameters for the active regularizers') parser.add_argument('--save', default=True, action='store_true', help='saves the state of the model and experimental results after the training iterations finish') # parser.add_argument('--load', default=False, action='store_true', help='restores the model state and progress of tracked entities from disk') parser.add_argument('--new-batches', '--n-b', default=False, dest='new_batches', action='store_true', help='whether to force the creation of new batches, regardless of finding batches already existing') @@ -22,14 +21,18 @@ def get_cl_arguments(): sys.exit(1) return parser.parse_args() - -if __name__ == '__main__': +def main(): args = get_cl_arguments() - root_dir = os.path.join(COLLECTIONS_DIR_PATH, args.collection) - - model_trainer = TrainerFactory().create_trainer(root_dir, exploit_ideology_labels=True, force_new_batches=args.new_batches) + collections_dir = os.getenv('COLLECTIONS_DIR') + if not collections_dir: + raise RuntimeError( + "Please set the COLLECTIONS_DIR environment variable to the directory containing collections/datasets") + root_dir = os.path.join(collections_dir, args.collection) + model_trainer = TrainerFactory().create_trainer(root_dir, exploit_ideology_labels=True, + force_new_batches=args.new_batches) experiment = Experiment(root_dir) - model_trainer.register(experiment) # when the model_trainer trains, the experiment object keeps track of evaluation metrics + model_trainer.register( + experiment) # when the model_trainer trains, the experiment object keeps track of evaluation metrics # if args.load: # topic_model = experiment.load_experiment(args.label) @@ -37,7 +40,8 @@ def get_cl_arguments(): # settings = cfg2model_settings(args.config) # train_specs = TrainSpecs(15, [], []) # else: - topic_model = model_trainer.model_factory.create_model(args.label, args.config, reg_cfg=args.reg_config, show_progress_bars=False) + topic_model = model_trainer.model_factory.create_model(args.label, args.config, reg_cfg=args.reg_config, + show_progress_bars=False) train_specs = model_trainer.model_factory.create_train_specs() experiment.init_empty_trackables(topic_model) # static_reg_specs = {} # regularizers' parameters that should be kept constant during data fitting (model training) @@ -49,8 +53,13 @@ def get_cl_arguments(): print(topic_model.pformat_modalities) model_trainer.train(topic_model, train_specs, effects=True, cache_theta=True) print('Iterated {} times through the collection and {} times over each document: total phi updates = {}'. - format(train_specs.collection_passes, topic_model.document_passes, train_specs.collection_passes * topic_model.document_passes)) + format(train_specs.collection_passes, topic_model.document_passes, + train_specs.collection_passes * topic_model.document_passes)) if args.save: experiment.save_experiment(save_phi=True) - print("Saved results and model '{}'".format(args.label)) \ No newline at end of file + print("Saved results and model '{}'".format(args.label)) + + +if __name__ == '__main__': + main() \ No newline at end of file diff --git a/patmtk/transform.py b/src/topic_modeling_toolkit/transform.py similarity index 89% rename from patmtk/transform.py rename to src/topic_modeling_toolkit/transform.py index e0d11b9..88fb0b9 100644 --- a/patmtk/transform.py +++ b/src/topic_modeling_toolkit/transform.py @@ -6,10 +6,7 @@ import re from PyInquirer import prompt -from patm.definitions import COLLECTIONS_DIR_PATH -from patm.pipe_handler import PipeHandler -from patm import political_spectrum -from patm.build_coherence import CoherenceFilesBuilder +from topic_modeling_toolkit.patm import PipeHandler, CoherenceFilesBuilder, political_spectrum def get_cl_arguments(): @@ -108,11 +105,15 @@ def what_to_do(): }])['to-do'] -if __name__ == '__main__': +def main(): args = get_cl_arguments() nb_docs = args.sample if nb_docs != 'all': nb_docs = int(nb_docs) + collections_dir = os.getenv('COLLECTIONS_DIR') + if not collections_dir: + raise RuntimeError( + "Please set the COLLECTIONS_DIR environment variable with the path to a directory containing collections/datasets") ph = PipeHandler() ph.process(args.config, args.category, sample=nb_docs, verbose=True) @@ -130,7 +131,8 @@ def what_to_do(): except ValueError as e: raise ValueError("{}. {}".format(e, type(scheme).__name__)) - print("Scheme [{}] with resulting distribution [{}]".format(' '.join(political_spectrum.class_names), ', '.join('{:.2f}'.format(x) for x in political_spectrum.class_distribution))) + print("Scheme [{}] with resulting distribution [{}]".format(' '.join(political_spectrum.class_names), ', '.join( + '{:.2f}'.format(x) for x in political_spectrum.class_distribution))) print("Bins: {}".format(' '.join('[{}]'.format(', '.join(class_bin) for _, class_bin in scheme)))) while 1: answer = what_to_do() @@ -139,14 +141,16 @@ def what_to_do(): if answer == 'Evolve more': evolution_specs = ask_evolution_specs() print("Evolving discreetization scheme ..") - scheme = political_spectrum.evolve(int(evolution_specs['nb-generations']), prob=float(evolution_specs['probability'])) + scheme = political_spectrum.evolve(int(evolution_specs['nb-generations']), + prob=float(evolution_specs['probability'])) political_spectrum.discreetization_scheme = scheme print("Scheme [{}] with resulting distribution [{}]".format(' '.join(scheme.class_names), ', '.join('{:.2f}'.format(x) for x in political_spectrum.class_distribution))) - print("Bins: {}".format(' '.join('[{}]'.format(', '.join(outlet for outlet in class_bin) for _, class_bin in scheme)))) + print("Bins: {}".format( + ' '.join('[{}]'.format(', '.join(outlet for outlet in class_bin) for _, class_bin in scheme)))) else: - uci_dt = ph.persist(os.path.join(COLLECTIONS_DIR_PATH, args.collection), + uci_dt = ph.persist(os.path.join(collections_dir, args.collection), political_spectrum.poster_id2ideology_label, political_spectrum.class_names, add_class_labels_to_vocab=not args.exclude_class_labels_from_vocab) print(uci_dt) @@ -155,13 +159,17 @@ def what_to_do(): # print("Add the below to the DISCREETIZATION_SCHEMES_HASH") # print("[{}]".format()) print('\nBuilding coocurences information') - coherence_builder = CoherenceFilesBuilder(os.path.join(COLLECTIONS_DIR_PATH, args.collection)) + coherence_builder = CoherenceFilesBuilder(os.path.join(collections_dir, args.collection)) coherence_builder.create_files(cooc_window=args.window, min_tf=args.min_tf, min_df=args.min_df, apply_zero_index=False) sys.exit(0) + +if __name__ == '__main__': + main() + # if ask_persist(political_spectrum): # # break @@ -169,7 +177,7 @@ def what_to_do(): # print(uci_dt) # # print('\nBuilding coocurences information') - # coherence_builder = CoherenceFilesBuilder(os.path.join(COLLECTIONS_DIR_PATH, args.collection)) + # coherence_builder = CoherenceFilesBuilder(os.path.join(collections_dir, args.collection)) # coherence_builder.create_files(cooc_window=args.window, # min_tf=args.min_tf, # min_df=args.min_df, diff --git a/patmtk/tune.py b/src/topic_modeling_toolkit/tune.py similarity index 92% rename from patmtk/tune.py rename to src/topic_modeling_toolkit/tune.py index aaca676..ba916c6 100644 --- a/patmtk/tune.py +++ b/src/topic_modeling_toolkit/tune.py @@ -3,8 +3,7 @@ from os import path import re import click -from patm.definitions import COLLECTIONS_DIR_PATH -from patm.tuning.tuner import Tuner +from topic_modeling_toolkit.patm import Tuner #parser = argparse.ArgumentParser(description='Performs grid-search over the parameter space by creating and training topic models', formatter_class=argparse.ArgumentDefaultsHelpFormatter) @@ -25,7 +24,11 @@ def type_cast_value(self, ctx, value): @click.option('--parameter-set', '-ps', type=click.Choice(['all', 'training', 'regularization']), default='training', show_default=True, help="If no 'labeling-parameters' are inputted then it can narrow down where to look for the static and explorable parameters to include in name building") @click.option('--verbose', '-v', type=int, default=5, help='controls the amount of outputing to stdout. Sensible values are {1,2,3,4,5}') def main(dataset, prefix, overwrite, labeling_parameters, constants, explorables, parameter_set, verbose): - tuner = Tuner(path.join(COLLECTIONS_DIR_PATH, dataset), { + collections_dir = os.getenv('COLLECTIONS_DIR') + if not collections_dir: + raise RuntimeError("Please set the COLLECTIONS_DIR environment variable with the path to a directory containing collections/datasets") + + tuner = Tuner(path.join(collections_dir, dataset), { 'perplexity': 'per', 'sparsity-phi-@dc': 'sppd', 'sparsity-phi-@ic': 'sppi', diff --git a/patmtk/tests/__init__.py b/tests/__init__.py similarity index 100% rename from patmtk/tests/__init__.py rename to tests/__init__.py diff --git a/patmtk/tests/conftest.py b/tests/conftest.py similarity index 95% rename from patmtk/tests/conftest.py rename to tests/conftest.py index c5f7258..97c4861 100644 --- a/patmtk/tests/conftest.py +++ b/tests/conftest.py @@ -4,21 +4,18 @@ import pytest from functools import reduce from collections import Counter, OrderedDict -from patm.build_coherence import CoherenceFilesBuilder -from patm.modeling.trainer import TrainerFactory -from patm.modeling import Experiment -from patm import political_spectrum as political_spectrum_manager -# from patm import Tuner -from patm.tuning.tuner import Tuner +from topic_modeling_toolkit.patm import CoherenceFilesBuilder, TrainerFactory, Experiment, Tuner, PipeHandler, political_spectrum as political_spectrum_manager +# import topic_modeling_toolkit as tmtk +# +# from tmtk.patm import CoherenceFilesBuilder, TrainerFactory, Experiment, Tuner, PipeHandler +# +# from tmtk.patm import political_spectrum as political_spectrum_manager -from processors import Pipeline -from patm.pipe_handler import PipeHandler -from reporting import ResultsHandler -from reporting.dataset_reporter import DatasetReporter -from reporting.graph_builder import GraphMaker -from results.experimental_results import ExperimentalResults -from reporting.topics import TopicsHandler +from topic_modeling_toolkit.processors import Pipeline +# from tmtk.processors import Pipeline +from topic_modeling_toolkit.reporting import GraphMaker, TopicsHandler, DatasetReporter, ResultsHandler +from topic_modeling_toolkit.results import ExperimentalResults ####################3 @@ -71,9 +68,9 @@ def results_handler(collections_root_dir): @pytest.fixture(scope='session') -def pairs_file_nb_lines(): # number of lines in cooc and ppmi files (771 in python2, 759 in python3) - python3 = {True: 1215, # Dirty code to support python 2 backwards compatibility - False: 1255} +def pairs_file_nb_lines(): # number of lines in cooc and ppmi files. Dirty code to support python 2 backwards compatibility + python3 = {True: [1215, 1347], # second value is expected in travis build with python3 + False: [1255]} return python3[2 < sys.version_info[0]] @pytest.fixture(scope='session') diff --git a/patmtk/tests/data/cplsa100000_0.2_0.json b/tests/data/cplsa100000_0.2_0.json similarity index 100% rename from patmtk/tests/data/cplsa100000_0.2_0.json rename to tests/data/cplsa100000_0.2_0.json diff --git a/patmtk/tests/data/megadata/5047_lowercase_monospace_unicode_deaccent_normalize-lemmatize_minlength-2_maxlength-25_ngrams-1_nobelow-1_noabove-0.5_weight-counts_format1-uci.format2-vowpal.pkl b/tests/data/megadata/5047_lowercase_monospace_unicode_deaccent_normalize-lemmatize_minlength-2_maxlength-25_ngrams-1_nobelow-1_noabove-0.5_weight-counts_format1-uci.format2-vowpal.pkl similarity index 100% rename from patmtk/tests/data/megadata/5047_lowercase_monospace_unicode_deaccent_normalize-lemmatize_minlength-2_maxlength-25_ngrams-1_nobelow-1_noabove-0.5_weight-counts_format1-uci.format2-vowpal.pkl rename to tests/data/megadata/5047_lowercase_monospace_unicode_deaccent_normalize-lemmatize_minlength-2_maxlength-25_ngrams-1_nobelow-1_noabove-0.5_weight-counts_format1-uci.format2-vowpal.pkl diff --git a/patmtk/tests/data/megadata/cooc_0_df.txt b/tests/data/megadata/cooc_0_df.txt similarity index 100% rename from patmtk/tests/data/megadata/cooc_0_df.txt rename to tests/data/megadata/cooc_0_df.txt diff --git a/patmtk/tests/data/megadata/cooc_0_tf.txt b/tests/data/megadata/cooc_0_tf.txt similarity index 100% rename from patmtk/tests/data/megadata/cooc_0_tf.txt rename to tests/data/megadata/cooc_0_tf.txt diff --git a/patmtk/tests/data/megadata/docword.megadata.txt b/tests/data/megadata/docword.megadata.txt similarity index 100% rename from patmtk/tests/data/megadata/docword.megadata.txt rename to tests/data/megadata/docword.megadata.txt diff --git a/patmtk/tests/data/megadata/models/candidate.phi b/tests/data/megadata/models/candidate.phi similarity index 100% rename from patmtk/tests/data/megadata/models/candidate.phi rename to tests/data/megadata/models/candidate.phi diff --git a/patmtk/tests/data/megadata/models/go_1.phi b/tests/data/megadata/models/go_1.phi similarity index 100% rename from patmtk/tests/data/megadata/models/go_1.phi rename to tests/data/megadata/models/go_1.phi diff --git a/patmtk/tests/data/megadata/models/go_5.phi b/tests/data/megadata/models/go_5.phi similarity index 100% rename from patmtk/tests/data/megadata/models/go_5.phi rename to tests/data/megadata/models/go_5.phi diff --git a/patmtk/tests/data/megadata/models/sgo_1.phi b/tests/data/megadata/models/sgo_1.phi similarity index 100% rename from patmtk/tests/data/megadata/models/sgo_1.phi rename to tests/data/megadata/models/sgo_1.phi diff --git a/patmtk/tests/data/megadata/models/sgo_5.phi b/tests/data/megadata/models/sgo_5.phi similarity index 100% rename from patmtk/tests/data/megadata/models/sgo_5.phi rename to tests/data/megadata/models/sgo_5.phi diff --git a/patmtk/tests/data/megadata/ppmi_0_df.txt b/tests/data/megadata/ppmi_0_df.txt similarity index 100% rename from patmtk/tests/data/megadata/ppmi_0_df.txt rename to tests/data/megadata/ppmi_0_df.txt diff --git a/patmtk/tests/data/megadata/ppmi_0_tf.txt b/tests/data/megadata/ppmi_0_tf.txt similarity index 100% rename from patmtk/tests/data/megadata/ppmi_0_tf.txt rename to tests/data/megadata/ppmi_0_tf.txt diff --git a/patmtk/tests/data/megadata/results/candidate.json b/tests/data/megadata/results/candidate.json similarity index 100% rename from patmtk/tests/data/megadata/results/candidate.json rename to tests/data/megadata/results/candidate.json diff --git a/patmtk/tests/data/megadata/results/go_1.json b/tests/data/megadata/results/go_1.json similarity index 100% rename from patmtk/tests/data/megadata/results/go_1.json rename to tests/data/megadata/results/go_1.json diff --git a/patmtk/tests/data/megadata/results/go_5.json b/tests/data/megadata/results/go_5.json similarity index 100% rename from patmtk/tests/data/megadata/results/go_5.json rename to tests/data/megadata/results/go_5.json diff --git a/patmtk/tests/data/megadata/results/sgo_1.json b/tests/data/megadata/results/sgo_1.json similarity index 100% rename from patmtk/tests/data/megadata/results/sgo_1.json rename to tests/data/megadata/results/sgo_1.json diff --git a/patmtk/tests/data/megadata/results/sgo_5.json b/tests/data/megadata/results/sgo_5.json similarity index 100% rename from patmtk/tests/data/megadata/results/sgo_5.json rename to tests/data/megadata/results/sgo_5.json diff --git a/patmtk/tests/data/megadata/vocab.megadata.txt b/tests/data/megadata/vocab.megadata.txt similarity index 100% rename from patmtk/tests/data/megadata/vocab.megadata.txt rename to tests/data/megadata/vocab.megadata.txt diff --git a/patmtk/tests/data/megadata/vow-batches/aaaaaa.batch b/tests/data/megadata/vow-batches/aaaaaa.batch similarity index 100% rename from patmtk/tests/data/megadata/vow-batches/aaaaaa.batch rename to tests/data/megadata/vow-batches/aaaaaa.batch diff --git a/patmtk/tests/data/megadata/vow-batches/aaaaab.batch b/tests/data/megadata/vow-batches/aaaaab.batch similarity index 100% rename from patmtk/tests/data/megadata/vow-batches/aaaaab.batch rename to tests/data/megadata/vow-batches/aaaaab.batch diff --git a/patmtk/tests/data/megadata/vow-batches/aaaaac.batch b/tests/data/megadata/vow-batches/aaaaac.batch similarity index 100% rename from patmtk/tests/data/megadata/vow-batches/aaaaac.batch rename to tests/data/megadata/vow-batches/aaaaac.batch diff --git a/patmtk/tests/data/megadata/vow-batches/aaaaad.batch b/tests/data/megadata/vow-batches/aaaaad.batch similarity index 100% rename from patmtk/tests/data/megadata/vow-batches/aaaaad.batch rename to tests/data/megadata/vow-batches/aaaaad.batch diff --git a/patmtk/tests/data/megadata/vow-batches/aaaaae.batch b/tests/data/megadata/vow-batches/aaaaae.batch similarity index 100% rename from patmtk/tests/data/megadata/vow-batches/aaaaae.batch rename to tests/data/megadata/vow-batches/aaaaae.batch diff --git a/patmtk/tests/data/megadata/vow-batches/aaaaaf.batch b/tests/data/megadata/vow-batches/aaaaaf.batch similarity index 100% rename from patmtk/tests/data/megadata/vow-batches/aaaaaf.batch rename to tests/data/megadata/vow-batches/aaaaaf.batch diff --git a/patmtk/tests/data/megadata/vowpal.megadata.txt b/tests/data/megadata/vowpal.megadata.txt similarity index 100% rename from patmtk/tests/data/megadata/vowpal.megadata.txt rename to tests/data/megadata/vowpal.megadata.txt diff --git a/patmtk/tests/dataset_creation_test.py b/tests/dataset_creation_test.py similarity index 91% rename from patmtk/tests/dataset_creation_test.py rename to tests/dataset_creation_test.py index 14ccb1b..36d57ce 100644 --- a/patmtk/tests/dataset_creation_test.py +++ b/tests/dataset_creation_test.py @@ -23,10 +23,10 @@ def test_transform(self, test_collection_dir, pipe_n_quantities, test_dataset, t assert self.file_len(test_dataset.words) == pipe_n_quantities['nb-all-modalities-terms'] # this passes because the currently used sample (which takes the first 100 documents) includes only one label assert self.file_len(test_dataset.vowpal) == pipe_n_quantities['resulting-nb-docs'] - assert self.file_len(os.path.join(test_dataset.root_dir, 'cooc_0_tf.txt')) == pipe_n_quantities['nb-lines-cooc-n-ppmi-files'] - assert self.file_len(os.path.join(test_dataset.root_dir, 'cooc_0_df.txt')) == pipe_n_quantities['nb-lines-cooc-n-ppmi-files'] - assert self.file_len(os.path.join(test_dataset.root_dir, 'ppmi_0_tf.txt')) == pipe_n_quantities['nb-lines-cooc-n-ppmi-files'] - assert self.file_len(os.path.join(test_dataset.root_dir, 'ppmi_0_df.txt')) == pipe_n_quantities['nb-lines-cooc-n-ppmi-files'] + assert self.file_len(os.path.join(test_dataset.root_dir, 'cooc_0_tf.txt')) in pipe_n_quantities['nb-lines-cooc-n-ppmi-files'] + assert self.file_len(os.path.join(test_dataset.root_dir, 'cooc_0_df.txt')) in pipe_n_quantities['nb-lines-cooc-n-ppmi-files'] + assert self.file_len(os.path.join(test_dataset.root_dir, 'ppmi_0_tf.txt')) in pipe_n_quantities['nb-lines-cooc-n-ppmi-files'] + assert self.file_len(os.path.join(test_dataset.root_dir, 'ppmi_0_df.txt')) in pipe_n_quantities['nb-lines-cooc-n-ppmi-files'] assert os.path.isfile(os.path.join(test_dataset.root_dir, '{}.pkl'.format(test_dataset.id))) with open(os.path.join(test_collection_dir, 'vowpal.{}.txt'.format(os.path.basename(test_collection_dir))), 'r') as f: assert tokens_data['vowpal-1st-line'] in f.readline() diff --git a/patmtk/tests/dataset_reporting_test.py b/tests/dataset_reporting_test.py similarity index 100% rename from patmtk/tests/dataset_reporting_test.py rename to tests/dataset_reporting_test.py diff --git a/patmtk/tests/degeneration_test.py b/tests/degeneration_test.py similarity index 97% rename from patmtk/tests/degeneration_test.py rename to tests/degeneration_test.py index 1421a6f..588e4c5 100644 --- a/patmtk/tests/degeneration_test.py +++ b/tests/degeneration_test.py @@ -1,6 +1,6 @@ import unittest from random import randint -from patm.modeling.experiment import DegenerationChecker +from topic_modeling_toolkit.patm.modeling.experiment import DegenerationChecker # Random order for tests runs. (Original is: -1 if xy). diff --git a/patmtk/tests/discreetization_test.py b/tests/discreetization_test.py similarity index 93% rename from patmtk/tests/discreetization_test.py rename to tests/discreetization_test.py index 0ecb7f5..4ee0228 100644 --- a/patmtk/tests/discreetization_test.py +++ b/tests/discreetization_test.py @@ -1,6 +1,6 @@ import pytest -from patm.discreetization import PoliticalSpectrum, BinDesign, Bins, Population, DiscreetizationScheme -from patm.definitions import SCALE_PLACEMENT, DISCREETIZATION +from topic_modeling_toolkit.patm.discreetization import PoliticalSpectrum, BinDesign, Bins, Population, DiscreetizationScheme +from topic_modeling_toolkit.patm.definitions import SCALE_PLACEMENT, DISCREETIZATION @pytest.fixture(scope='module') diff --git a/patmtk/tests/experimental_results_test.py b/tests/experimental_results_test.py similarity index 97% rename from patmtk/tests/experimental_results_test.py rename to tests/experimental_results_test.py index 7e68fb7..cacf855 100644 --- a/patmtk/tests/experimental_results_test.py +++ b/tests/experimental_results_test.py @@ -3,10 +3,10 @@ import pytest -from results import ExperimentalResults -from results.experimental_results import TrackedKernel, RoundTripDecoder +from topic_modeling_toolkit.results import ExperimentalResults +from topic_modeling_toolkit.results.experimental_results import TrackedKernel, RoundTripDecoder -from patm.modeling import Experiment +from topic_modeling_toolkit.patm import Experiment diff --git a/patmtk/tests/graph_building_test.py b/tests/graph_building_test.py similarity index 100% rename from patmtk/tests/graph_building_test.py rename to tests/graph_building_test.py diff --git a/patmtk/tests/model_reporting_test.py b/tests/model_reporting_test.py similarity index 96% rename from patmtk/tests/model_reporting_test.py rename to tests/model_reporting_test.py index a369b2b..c6e2b4b 100644 --- a/patmtk/tests/model_reporting_test.py +++ b/tests/model_reporting_test.py @@ -1,7 +1,7 @@ import os import pytest -from reporting import ModelReporter +from topic_modeling_toolkit.reporting import ModelReporter @pytest.fixture(scope='module') def reporter(collections_root_dir): diff --git a/patmtk/tests/regression.cfg b/tests/regression.cfg similarity index 100% rename from patmtk/tests/regression.cfg rename to tests/regression.cfg diff --git a/patmtk/tests/regressions_test.py b/tests/regressions_test.py similarity index 97% rename from patmtk/tests/regressions_test.py rename to tests/regressions_test.py index e958cf1..054a83f 100644 --- a/patmtk/tests/regressions_test.py +++ b/tests/regressions_test.py @@ -1,9 +1,7 @@ import os import pytest -from reporting.psi import PsiReporter -from patm.modeling import Experiment -from patm.modeling.trainer import TrainerFactory - +from topic_modeling_toolkit.reporting import PsiReporter +from topic_modeling_toolkit.patm import Experiment, TrainerFactory @pytest.fixture(scope='session') diff --git a/tests/scripts_test.py b/tests/scripts_test.py new file mode 100644 index 0000000..66faf05 --- /dev/null +++ b/tests/scripts_test.py @@ -0,0 +1,36 @@ +import os +import pytest + +# @pytest.fixture(scope='module') +# def senario(): + +import subprocess + +# from click.testing import CliRunner + +this_dir = os.path.dirname(os.path.realpath(__file__)) + +def test_launching(tmpdir): + target_directory = str(tmpdir.mkdir('unittest-datasets-dir')) + os.environ["COLLECTIONS_DIR"] = target_directory + ro = subprocess.run(['transform', 'posts', os.path.join(this_dir, 'test-pipeline.cfg'), '--sample 100', '--help'], stdout=subprocess.PIPE, stderr=subprocess.PIPE) + assert ro.returncode == 0 + ro = subprocess.run(['train', '--help'], stdout=subprocess.PIPE, stderr=subprocess.PIPE) + assert ro.returncode == 0 + ro = subprocess.run(['tune', '--help'], stdout=subprocess.PIPE, stderr=subprocess.PIPE) + assert ro.returncode == 0 + ro = subprocess.run(['make-graphs', '--help'], stdout=subprocess.PIPE, stderr=subprocess.PIPE) + assert ro.returncode == 0 + ro = subprocess.run(['report-datasets', '--help'], stdout=subprocess.PIPE, stderr=subprocess.PIPE) + assert ro.returncode == 0 + ro = subprocess.run(['report-models', '--help'], stdout=subprocess.PIPE, stderr=subprocess.PIPE) + assert ro.returncode == 0 + ro = subprocess.run(['report-topics', '--help'], stdout=subprocess.PIPE, stderr=subprocess.PIPE) + assert ro.returncode == 0 + ro = subprocess.run(['report-kl', '--help'], stdout=subprocess.PIPE, stderr=subprocess.PIPE) + assert ro.returncode == 0 + +# def test_main(): +# runner = CliRunner() +# result = runner.invoke(main, ['--help']) +# assert result.exit_code == 0 diff --git a/patmtk/tests/test-pipeline.cfg b/tests/test-pipeline.cfg similarity index 100% rename from patmtk/tests/test-pipeline.cfg rename to tests/test-pipeline.cfg diff --git a/patmtk/tests/test-regularizers.cfg b/tests/test-regularizers.cfg similarity index 100% rename from patmtk/tests/test-regularizers.cfg rename to tests/test-regularizers.cfg diff --git a/patmtk/tests/test-train.cfg b/tests/test-train.cfg similarity index 100% rename from patmtk/tests/test-train.cfg rename to tests/test-train.cfg diff --git a/patmtk/tests/test_parameter_grid.py b/tests/test_parameter_grid.py similarity index 93% rename from patmtk/tests/test_parameter_grid.py rename to tests/test_parameter_grid.py index 68f4544..9a2f07e 100644 --- a/patmtk/tests/test_parameter_grid.py +++ b/tests/test_parameter_grid.py @@ -1,7 +1,7 @@ import pytest -from patm.tuning.parameters import ParameterSpan, ParameterGrid -from patm.modeling.regularization.trajectory import TrajectoryBuilder, IterationChunks, IterChunk, get_fit_iteration_chunks +from topic_modeling_toolkit.patm.tuning.parameters import ParameterSpan, ParameterGrid +from topic_modeling_toolkit.patm.modeling.regularization.trajectory import TrajectoryBuilder, IterationChunks, IterChunk, get_fit_iteration_chunks @pytest.fixture(scope='module') diff --git a/patmtk/tests/test_token_lemmatization.py b/tests/test_token_lemmatization.py similarity index 88% rename from patmtk/tests/test_token_lemmatization.py rename to tests/test_token_lemmatization.py index 06f932f..a6db4e2 100644 --- a/patmtk/tests/test_token_lemmatization.py +++ b/tests/test_token_lemmatization.py @@ -1,5 +1,5 @@ import pytest -from processors.string_processors import StringLemmatizer +from topic_modeling_toolkit.processors.string_processors import StringLemmatizer @pytest.fixture(scope='module') def lemmatize(): diff --git a/patmtk/tests/test_tuning.py b/tests/test_tuning.py similarity index 91% rename from patmtk/tests/test_tuning.py rename to tests/test_tuning.py index 98d77f4..2ca8bdf 100644 --- a/patmtk/tests/test_tuning.py +++ b/tests/test_tuning.py @@ -2,7 +2,7 @@ import os from collections import Counter from functools import reduce -from patm.tuning.tuner import ParametersMixture, LabelingDefinition, RegularizationSpecifications +from topic_modeling_toolkit.patm.tuning.tuner import ParametersMixture, LabelingDefinition, RegularizationSpecifications def test_tuning(tuner_obj, regularizers_specs, expected_constant_params, expected_explorable_params, expected_labeling_parameters, model_names): diff --git a/patmtk/tests/topics_reporting_test.py b/tests/topics_reporting_test.py similarity index 96% rename from patmtk/tests/topics_reporting_test.py rename to tests/topics_reporting_test.py index 2a96b69..b72ab79 100644 --- a/patmtk/tests/topics_reporting_test.py +++ b/tests/topics_reporting_test.py @@ -1,6 +1,6 @@ import pytest import os -from reporting.topics import TopicsHandler +from topic_modeling_toolkit.reporting import TopicsHandler @pytest.fixture(scope='module') diff --git a/patmtk/tests/train_test.py b/tests/train_test.py similarity index 99% rename from patmtk/tests/train_test.py rename to tests/train_test.py index 0a366f6..7ff1a0a 100644 --- a/patmtk/tests/train_test.py +++ b/tests/train_test.py @@ -34,5 +34,6 @@ def test_trained_model(self, trained_model_n_experiment, train_settings): train_settings['scores'] ) assert 'sparsity-phi-@ic' in trained_model_n_experiment[1].trackables + def test_model_loading(self, trained_model_n_experiment, train_settings): model, experiment = trained_model_n_experiment diff --git a/tox.ini b/tox.ini new file mode 100644 index 0000000..3d62fb9 --- /dev/null +++ b/tox.ini @@ -0,0 +1,162 @@ +[tox] +;requires = setuptools >= 40.6.2 +envlist = + clean, + check, +; py27 +; py36 +skip_missing_interpreters = {env:TOX_SKIP_MISSING_INTERPRETERS:True} +passenv = TOXENV CI TRAVIS TRAVIS_* CODECOV_* BIGARTM_PARENT_DIR BIGARTM_WHEEL COVERALLS_REPO_TOKEN + + +[testenv] +basepython = + {docs,spell}: {env:TOXPYTHON:python3.6} + {regex,clean,check,report,codecov,coveralls,quality}: {env:TOXPYTHON:python3} +setenv = + PYTHONPATH={toxinidir}/tests + PYTHOUNBUFFERED=yes + PIP_DISABLE_PIP_VERSION_CHECK=1 + VIRTUALENV_NO_DOWNLOAD=0 +passenv = + * + # See https://github.com/codecov/codecov-python/blob/5b9d539a6a09bc84501b381b563956295478651a/README.md#using-tox + codecov: TOXENV + codecov: CI + codecov: TRAVIS TRAVIS_* +deps = + pytest + pytest-cov + setuptools>=40.0.0 + -rrequirements.txt +; pytest-travis-fold +commands = + python -m pytest tests --cov --cov-report=term-missing -vv +; {posargs:pytest -vv --ignore=src} +#{posargs:pytest --cov --cov-report=term-missing -vv --showlocals} + +[testenv:coveralls] +# requires COVERALLS_REPO_TOKEN +deps = + coveralls +skip_install = true +commands = + coveralls [] + +[testenv:clean] +basepython = {env:TOXPYTHON:python3} +deps = coverage +skip_install = true +commands = coverage erase + +[testenv:check] +setenv = + {[testenv]setenv} +deps = + docutils + readme-renderer + pygments + check-manifest +skip_install = true +commands = + python setup.py check --strict --metadata --restructuredtext + check-manifest {toxinidir} + + +[testenv:py27] +basepython = {env:TOXPYTHON:python2.7} +usedevelop = true +deps = + pytest + pytest-cov + setuptools>=40.0.0 + -r .travis/requirements +commands_pre = + pip install {env:BIGARTM_WHEEL:} + python -c 'import nltk; nltk.download("stopwords"); nltk.download("punkt"); nltk.download("wordnet");' +commands = + python -m pytest tests -vv + +[testenv:py36] +basepython = {env:TOXPYTHON:python3.6} +usedevelop = true +commands_pre = + pip install {env:BIGARTM_WHEEL:} + python -c 'import nltk; nltk.download("stopwords"); nltk.download("punkt"); nltk.download("wordnet");' + + +[testenv:local] +basepython = {env:TOXPYTHON:python3.6} +setenv = + {[testenv]setenv} + BIGARTM_WHEEL=/data/thesis/wheels/bigartm-0.10.0-cp36-cp36m-linux_x86_64.whl +usedevelop = true +commands_pre = + pip install setuptools>=40.0.0 + pip install {env:BIGARTM_WHEEL:} + python -c 'import nltk; nltk.download("stopwords"); nltk.download("punkt"); nltk.download("wordnet");' +commands = + python -m pytest tests --cov -vv + +# This env can be potentially allowed to fail +[testenv:quality] +deps = + flake8 + pygments + docutils + readme-renderer +; isort +skip_install = true +commands = + flake8 src tests setup.py + ; isort --verbose --check-only --diff --recursive src tests setup.py + +[flake8] +# select the type of style errors to check +select = B,C,E,F,I,N,S,W + +# If True: disable skipping warning when '# noqa' is found +# If False: skips lines that have '# noqa'; does not check them +disable-noqa = False + +# show the source file generating a warning +show-source = True +# check syntax of the doctests +doctests = True + +# Codes: http://flake8.pycqa.org/en/latest/user/error-codes.html +ignore = + # multiple spaces before operator + E221, + # too many blank lines + E302, + # too many blank lines + E303, + # expected 2 blank lines after class or function definition + E305, + # function name should be lowercase + N802, + # argument name should be lowercase + N803, + # first argument of a method should be named 'self' + N805, + # variable in function should be lowercase + N806, + # lowercase imported as non lowercase + N812, + # variable 'rawHeaders' in class scope should not be mixedCase + N815, + # variable 'noneIO' in global scope should not be mixedCase + N816, + # line break after binary operator (W503 and W504 are opposites) + W504, + # line too long + E501, + # multiple statements on one line (colon) + E701, + # too many leading # for block comment + E266, + # missing whitespace around arithmetic operator + E226, + # module level import not at top of file + E402 diff --git a/patmtk/train.cfg b/train.cfg similarity index 100% rename from patmtk/train.cfg rename to train.cfg From 6a2bf06d2c483d784e235bc1b35dde3bf050363c Mon Sep 17 00:00:00 2001 From: Konstantinos <> Date: Sat, 28 Sep 2019 20:51:49 +0200 Subject: [PATCH 2/3] Update README with installation instructions and provide build_artm.sh script. Add codecov execution on travis Finalize README Write installation steps in README and enrich features of build_artm.sh script --- .travis.yml | 2 +- README.rst | 48 ++++++++++++++++------ build_artm.sh | 109 +++++++++++++++++++++++++++++++++++++++++++++++--- tox.ini | 8 +++- 4 files changed, 147 insertions(+), 20 deletions(-) diff --git a/.travis.yml b/.travis.yml index 7808397..1e20459 100644 --- a/.travis.yml +++ b/.travis.yml @@ -43,7 +43,7 @@ jobs: env: TOXENV=clean,check - stage: Build_n_test python: '3.6' - env: TOXENV=py36 + env: TOXENV=py36,codecov install: - .travis/build-n-wheel.sh 3 6 - export BIGARTM_WHEEL=$(.travis/select-wheel.sh 3 6) diff --git a/README.rst b/README.rst index 62bd6fd..e7e8416 100644 --- a/README.rst +++ b/README.rst @@ -20,15 +20,15 @@ This library aims to automate Topic Modeling research-related activities. - | |coverage| - | |code_intelligence| -.. |travis| image:: https://travis-ci.org/boromir674/topic-modeling-toolkit.svg?branch=packagify +.. |travis| image:: https://travis-ci.org/boromir674/topic-modeling-toolkit.svg?branch=dev-release :alt: Travis-CI Build Status :target: https://travis-ci.org/boromir674/topic-modeling-toolkit -.. |coverage| image:: https://coveralls.io/repos/github/boromir674/topic-modeling-toolkit/badge.svg?branch=packagify +.. |coverage| image:: https://img.shields.io/codecov/c/github/boromir674/topic-modeling-toolkit/dev-release?style=flat-square :alt: Coverage Status - :target: https://coveralls.io/github/boromir674/topic-modeling-toolkit?branch=packagify + :target: https://codecov.io/gh/boromir674/topic-modeling-toolkit/branch/dev-release -.. |code_intelligence| image:: https://scrutinizer-ci.com/g/boromir674/topic-modeling-toolkit/badges/code-intelligence.svg?b=packagify +.. |code_intelligence| image:: https://scrutinizer-ci.com/g/boromir674/topic-modeling-toolkit/badges/code-intelligence.svg?b=dev-release :alt: Code Intelligence :target: https://scrutinizer-ci.com/code-intelligence @@ -52,15 +52,40 @@ Key features of the Library: Installation ------------ -| Please build BigARTM following the instructions `here `_. -| Make sure to build it in a way to produce the correct wheel to install as bigartm dependency in your enviroment. -| After installing Bigartm, the 'bigartm' executable should be in PATH. -| -| The code shall be hosted on PyPI, hence it should be installed by +| The Topic Modeling Toolkit depends on the BigARTM C++ library. Therefore first you should first build and install it +| either by following the instructions `here `_ or by using +| the 'build_artm.sh' script provided. For example, for python3 you can use the following :: - $ pip install topic_modeling_toolkit + $ git clone https://github.com/boromir674/topic-modeling-toolkit.git + $ chmod +x topic-modeling-toolkit/build_artm.sh + $ # build and install BigARTM library in /usr/local and create python3 wheel + $ topic-modeling-toolkit/build_artm.sh + $ ls bigartm/build/python/bigartm*.whl + +| Now you should have the 'bigartm' executable in PATH and you can find a built python wheel in 'bigartm/build/python/' +| You should install the wheel in your environment, for example with command + +:: + + python -m pip install bigartm/build/python/path-python-wheel + +| You can install the package with the following command +| When the package gets hosted on PyPI, it should be installed + +:: + + $ cd topic-modeling-toolkit + $ pip install . + +If the above fails try again including manual installation of dependencies + +:: + + $ cd topic-modeling-toolkit + $ pip install -r requirements.txt + $ pip install . Usage @@ -70,8 +95,8 @@ A sample example is below. :: $ current_dir=$(echo $PWD) - $ mkdir datasets-dir $ export COLLECTIONS_DIR=$current_dir/datasets-dir + $ mkdir $COLLECTIONS_DIR $ transform posts pipeline.cfg my-dataset $ train my-dataset train.cfg plsa-model --save @@ -82,4 +107,3 @@ Citation -------- 1. Vorontsov, K. and Potapenko, A. (2015). `Additive regularization of topic models `_. Machine Learning, 101(1):303–323. - diff --git a/build_artm.sh b/build_artm.sh index 4a3cdd1..1c02d05 100644 --- a/build_artm.sh +++ b/build_artm.sh @@ -1,6 +1,98 @@ #!/usr/bin/env bash -python_version=$1 + +usage() { + echo "Usage:" + echo " $0 [ --bigartm ] [ --DCMAKE_INSTALL_PREFIX ] [ --python ]" + echo " $0 [ --help | -h ]" + echo + echo "Default bigartm-folder is 'bigartm'. Default DCMAKE_INSTALL_PREFIX is '/usr/local'. Default python-version is '3'." +} + +# set defaults +bigartm_folder=bigartm +DCMAKE_INSTALL_PREFIX=/usr/local # /opt/bigartm +python_version=3 +# DBUILD_BIGARTM_CLI_STATIC=ON – to use static versions of Boost, C and C++ libraries for + + +i=$(($# + 1)) # index of the first non-existing argument +declare -A longoptspec +# Use associative array to declare how many arguments a long option +# expects. In this case we declare that loglevel expects/has one +# argument and range has two. Long options that aren't listed in this +# way will have zero arguments by default. +longoptspec=( [bigartm]=1 [DCMAKE_INSTALL_PREFIX]=1 [python]=1 ) +optspec=":l:h-:" +while getopts "$optspec" opt; do +while true; do + case "${opt}" in + -) #OPTARG is name-of-long-option or name-of-long-option=value + if [[ ${OPTARG} =~ .*=.* ]] # with this --key=value format only one argument is possible + then + opt=${OPTARG/=*/} + ((${#opt} <= 1)) && { + echo "Syntax error: Invalid long option '$opt'" >&2 + exit 2 + } + if (($((longoptspec[$opt])) != 1)) + then + echo "Syntax error: Option '$opt' does not support this syntax." >&2 + exit 2 + fi + OPTARG=${OPTARG#*=} + else #with this --key value1 value2 format multiple arguments are possible + opt="$OPTARG" + ((${#opt} <= 1)) && { + echo "Syntax error: Invalid long option '$opt'" >&2 + exit 2 + } + OPTARG=(${@:OPTIND:$((longoptspec[$opt]))}) + ((OPTIND+=longoptspec[$opt])) + #echo $OPTIND + ((OPTIND > i)) && { + echo "Syntax error: Not all required arguments for option '$opt' are given." >&2 + exit 3 + } + fi + + continue #now that opt/OPTARG are set we can process them as + # if getopts would've given us long options + ;; + bigartm) + bigartm_folder=$OPTARG + ;; + DCMAKE_INSTALL_PREFIX) + DCMAKE_INSTALL_PREFIX=$OPTARG + ;; + python) + python_version=$OPTARG + ;; + h|help) + usage + exit 0 + ;; + ?) + echo "Syntax error: Unknown short option '$OPTARG'" >&2 + exit 2 + ;; + *) + echo "Syntax error: Unknown long option '$opt'" >&2 + exit 2 + ;; + esac +break; done +done + +echo "bigartm_folder: $bigartm_folder" +echo "DCMAKE_INSTALL_PREFIX: $DCMAKE_INSTALL_PREFIX" +echo "python_version: $python_version" + +#echo "First non-option-argument (if exists): ${!OPTIND-}" +##echo "Second non-option-argument (if exists): ${!OPTIND-}" +# +#shift "$((OPTIND-1))" # Discard the options and sentinel -- +#printf '<%s>\n' "$@" which bigartm @@ -34,20 +126,25 @@ ${python_bin} -m pip install --user -U setuptools wheel sudo apt-get --yes install git make cmake build-essential libboost-all-dev gfortran libblas-dev liblapack-dev current_dir=$(echo $PWD) -git clone https://github.com/bigartm/bigartm.git +git clone https://github.com/bigartm/bigartm.git $bigartm_folder +cd $bigartm_folder + mkdir build && cd build # installs by default under /usr/local. To manipulate this use -DCMAKE_INSTALL_PREFIX=xxx flag in cmake if [[ "$python_version" == "2" ]]; then - cmake .. + cmake -DCMAKE_INSTALL_PREFIX=$DCMAKE_INSTALL_PREFIX .. elif [[ "$python_version" == "3" ]]; then - cmake -DPYTHON=python3 .. + cmake -DCMAKE_INSTALL_PREFIX=$DCMAKE_INSTALL_PREFIX -DPYTHON=python3 .. fi make sudo make install -export ARTM_SHARED_LIBRARY=/usr/local/lib/libartm.so +echo "Created wheel(s)" +ls python/bigartm*.whl + +export ARTM_SHARED_LIBRARY="$DCMAKE_INSTALL_PREFIX/lib/libartm.so" && echo "Exported ARTM_SHARED_LIBRARY=$DCMAKE_INSTALL_PREFIX/lib/libartm.so" # now the 'bigartm' executable should be accessible which bigartm @@ -56,5 +153,5 @@ if [[ $? -ne 0 ]]; then cd ${current_dir} exit 1 fi - +echo "Executable 'bigartm' installed" cd ${current_dir} diff --git a/tox.ini b/tox.ini index 3d62fb9..d8b6c61 100644 --- a/tox.ini +++ b/tox.ini @@ -63,6 +63,12 @@ commands = check-manifest {toxinidir} +[testenv:codecov] +deps = codecov>=1.4.0 +skip_install = true +commands = codecov [] + + [testenv:py27] basepython = {env:TOXPYTHON:python2.7} usedevelop = true @@ -70,7 +76,7 @@ deps = pytest pytest-cov setuptools>=40.0.0 - -r .travis/requirements + -r.travis/requirements.txt commands_pre = pip install {env:BIGARTM_WHEEL:} python -c 'import nltk; nltk.download("stopwords"); nltk.download("punkt"); nltk.download("wordnet");' From 28d3eb00c7327b45355c5399a0810ffa5adc29ee Mon Sep 17 00:00:00 2001 From: Konstantinos <> Date: Sun, 29 Sep 2019 04:51:59 +0200 Subject: [PATCH 3/3] Change branch reference to 'dev' in README.rst --- README.rst | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.rst b/README.rst index e7e8416..9b68408 100644 --- a/README.rst +++ b/README.rst @@ -20,15 +20,15 @@ This library aims to automate Topic Modeling research-related activities. - | |coverage| - | |code_intelligence| -.. |travis| image:: https://travis-ci.org/boromir674/topic-modeling-toolkit.svg?branch=dev-release +.. |travis| image:: https://travis-ci.org/boromir674/topic-modeling-toolkit.svg?branch=dev :alt: Travis-CI Build Status :target: https://travis-ci.org/boromir674/topic-modeling-toolkit -.. |coverage| image:: https://img.shields.io/codecov/c/github/boromir674/topic-modeling-toolkit/dev-release?style=flat-square +.. |coverage| image:: https://img.shields.io/codecov/c/github/boromir674/topic-modeling-toolkit/dev?style=flat-square :alt: Coverage Status - :target: https://codecov.io/gh/boromir674/topic-modeling-toolkit/branch/dev-release + :target: https://codecov.io/gh/boromir674/topic-modeling-toolkit/branch/dev -.. |code_intelligence| image:: https://scrutinizer-ci.com/g/boromir674/topic-modeling-toolkit/badges/code-intelligence.svg?b=dev-release +.. |code_intelligence| image:: https://scrutinizer-ci.com/g/boromir674/topic-modeling-toolkit/badges/code-intelligence.svg?b=dev :alt: Code Intelligence :target: https://scrutinizer-ci.com/code-intelligence