Add pythainlp.translate

.github/workflows/test.yml

@@ -34,7 +34,7 @@ jobs:
         pip install pytest coverage coveralls
         if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
         pip install "h5py>=2.10.0,<3" "tensorflow>=2.3.1,<3"
-        pip install torch==1.7.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
+        pip install torch==1.7.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
         pip install deepcut
         pip install .[full]
     - name: Test

appveyor.yml

@@ -9,7 +9,7 @@
 #    environment configuration    #
 #---------------------------------#
 
-image: Visual Studio 2017
+image: Visual Studio 2019
 
 # scripts that are called at very beginning, before repo cloning
 init:
@@ -32,17 +32,17 @@ init:
   - "ECHO Python %PYTHON_VERSION% (%PYTHON_ARCH%bit) from %PYTHON%"
   - ECHO %PYTHONIOENCODING%
   - ECHO %ICU_VERSION%
-#  - ECHO "Installed SDKs:"
-#  - ps: "ls C:/Python*"
-#  - ps: "ls \"C:/Program Files (x86)/Microsoft SDKs/Windows\""
+  - ECHO "Installed SDKs:"
+  - ps: "ls C:/Python*"
+  - ps: "ls \"C:/Program Files (x86)/Microsoft SDKs/Windows\""
 
 # fetch repository as zip archive
 # https://www.appveyor.com/docs/how-to/repository-shallow-clone/
 shallow_clone: true
 
 environment:
   global:
-    APPVEYOR_SAVE_CACHE_ON_ERROR: true
+    APPVEYOR_SAVE_CACHE_ON_ERROR: false
     APPVEYOR_SKIP_FINALIZE_ON_EXIT: true
     CMD_IN_ENV: "cmd /E:ON /V:ON /C .\\appveyor\\run_with_env.cmd"
     PYTHONIOENCODING: "utf-8"
@@ -56,7 +56,7 @@ environment:
   #    PYTHON_ARCH: "32"
   #    PYICU_PKG: "https://www.dropbox.com/s/pahorbq29y9cura/PyICU-2.3.1-cp36-cp36m-win32.whl?dl=1"
 
-    - PYTHON: "C:/Python36-x64"
+    - PYTHON: "C:\\Miniconda36-x64"
       PYTHON_VERSION: "3.6"
       PYTHON_ARCH: "64"
       PYICU_PKG: "https://www.dropbox.com/s/7t0rrxwckqbgivi/PyICU-2.3.1-cp36-cp36m-win_amd64.whl?dl=1"
@@ -66,39 +66,42 @@ environment:
   #    PYTHON_ARCH: "32"
   #    PYICU_PKG: "https://www.dropbox.com/s/3xwdnwhdcu619x4/PyICU-2.3.1-cp37-cp37m-win32.whl?dl=1"
 
-    - PYTHON: "C:/Python37-x64"
-      PYTHON_VERSION: "3.7"
-      PYTHON_ARCH: "64"
-      PYICU_PKG: "https://www.dropbox.com/s/le5dckc3231opqt/PyICU-2.3.1-cp37-cp37m-win_amd64.whl?dl=1"
+  #  - PYTHON: "C:/Python37-x64"
+  #    PYTHON_VERSION: "3.7"
+  #    PYTHON_ARCH: "64"
+  #    PYICU_PKG: "https://www.dropbox.com/s/le5dckc3231opqt/PyICU-2.3.1-cp37-cp37m-win_amd64.whl?dl=1"
 
-  #  - PYTHON: "C:/Python38-x64"
+  #  - PYTHON: "C:\\Miniconda38-x64"
   #    PYTHON_VERSION: "3.8"
   #    PYTHON_ARCH: "64"
-  #    PYICU_PKG: "https://www.dropbox.com/s/o6p2sj5z50iim1e/PyICU-2.3.1-cp38-cp38-win_amd64.whl?dl=0"
+  #    PYICU_PKG: "https://www.dropbox.com/s/o6p2sj5z50iim1e/PyICU-2.3.1-cp38-cp38-win_amd64.whl?dl=1"
 
 matrix:
   fast_finish: true
 
-cache:
-  - "%LOCALAPPDATA%/pip/Cache"
-  - "%APPDATA%/nltk_data"
+#cache:
+#  - "%LOCALAPPDATA%/pip/Cache"
+#  - "%APPDATA%/nltk_data"
 #  - "%LOCALAPPDATA%/pythainlp-data"
 
 install:
   - chcp 65001
+  - "SET PATH=%PYTHON%;%PYTHON%\\Scripts;%PATH%"
 #  - '"C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\vcvarsall.bat" %PLATFORM%'
-  - '"C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Auxiliary\Build\vcvarsall.bat" %PLATFORM%'
-#  - '"C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Auxiliary\Build\vcvarsall.bat" %PLATFORM%'
+#  - '"C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Auxiliary\Build\vcvarsall.bat" %PLATFORM%'
+  - '"C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Auxiliary\Build\vcvarsall.bat" %PLATFORM%'
   - ps: if (-not(Test-Path($env:PYTHON))) { & appveyor\install.ps1 }
-  - SET PATH=%PYTHON%;%PYTHON%/Scripts;%PATH%
-#  - ECHO %PATH%
+  - ECHO %PATH%
   - python --version
   - python -m pip install --disable-pip-version-check --user --upgrade pip setuptools
-  - pip --version
-  - pip install -U "h5py>=2.10.0,<3" "tensorflow>=2.3.1,<3" deepcut
-  - pip install torch==1.7.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
-  - pip install %PYICU_PKG%
-  - pip install -e .[full]
+  - python -m pip --version
+  - python -m pip install pyyaml
+  - python -m pip install -U "h5py>=2.10.0,<3" "tensorflow>=2.3.1,<3" deepcut
+  - python -m pip install %PYICU_PKG%
+  - conda install -y -c conda-forge fairseq
+  - conda remove --force -y pytorch
+  - python -m pip install torch==1.7.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
+  - python -m pip install -e .[full]
 
 #---------------------------------#
 #       build configuration       #
@@ -121,20 +124,20 @@ test_script:
 #        global handlers          #
 #---------------------------------#
 
-on_success:
-  # Remove old or huge cache files to hopefully not exceed the 1GB cache limit.
-  #
-  # If the cache limit is reached, the cache will not be updated (of not even
-  # created in the first run). So this is a trade of between keeping the cache
-  # current and having a cache at all.
-  # NB: This is done only `on_success` since the cache in uploaded only on
-  # success anyway.
-  # Note: Cygwin is not available on Visual Studio 2019, can try Msys2.
-  - "ECHO Remove old or huge cache"
-  - C:\cygwin\bin\find "%LOCALAPPDATA%/pip" -type f -mtime +360 -delete
-  - C:\cygwin\bin\find "%LOCALAPPDATA%/pip" -type f -size +50M -delete
-  - C:\cygwin\bin\find "%LOCALAPPDATA%/pip" -empty -delete
-  # Show size of cache
-  - C:\cygwin\bin\du -hs "%LOCALAPPDATA%/pip/Cache"
-  - C:\cygwin\bin\du -hs "%APPDATA%/nltk_data"
-  - C:\cygwin\bin\du -hs "%LOCALAPPDATA%/pythainlp-data"
+#on_success:
+#  # Remove old or huge cache files to hopefully not exceed the 1GB cache limit.
+#  #
+#  # If the cache limit is reached, the cache will not be updated (of not even
+#  # created in the first run). So this is a trade of between keeping the cache
+#  # current and having a cache at all.
+#  # NB: This is done only `on_success` since the cache in uploaded only on
+#  # success anyway.
+#  # Note: Cygwin is not available on Visual Studio 2019, can try Msys2.
+#  - "ECHO Remove old or huge cache"
+#  - C:\cygwin\bin\find "%LOCALAPPDATA%/pip" -type f -mtime +360 -delete
+#  - C:\cygwin\bin\find "%LOCALAPPDATA%/pip" -type f -size +50M -delete
+#  - C:\cygwin\bin\find "%LOCALAPPDATA%/pip" -empty -delete
+#  # Show size of cache
+#  - C:\cygwin\bin\du -hs "%LOCALAPPDATA%/pip/Cache"
+#  - C:\cygwin\bin\du -hs "%APPDATA%/nltk_data"
+#  - C:\cygwin\bin\du -hs "%LOCALAPPDATA%/pythainlp-data"

docs/api/translate.rst

@@ -0,0 +1,10 @@
+.. currentmodule:: pythainlp.translate
+
+pythainlp.translate
+===================
+The :class:`pythainlp.translate` for language translation.
+
+Modules
+-------
+
+.. autofunction:: translate

pythainlp/corpus/core.py

@@ -316,7 +316,7 @@ def download(
         local_db = TinyDB(corpus_db_path())
         query = Query()
 
-        corpus = corpus_db[name.lower()]
+        corpus = corpus_db[name]
         print("Corpus:", name)
         if version is None:
             for v in corpus["versions"]:

pythainlp/translate/__init__.py

@@ -0,0 +1,11 @@
+# -*- coding: utf-8 -*-
+"""
+Language translation.
+"""
+
+__all__ = [
+    "translate",
+    "download_model_all"
+]
+
+from pythainlp.translate.core import translate, download_model_all

pythainlp/translate/core.py

@@ -0,0 +1,127 @@
+# -*- coding: utf-8 -*-
+import os
+import tarfile
+from collections import defaultdict
+
+from pythainlp.corpus import download, get_corpus_path
+from pythainlp.tools import get_full_data_path, get_pythainlp_data_path
+
+from fairseq.models.transformer import TransformerModel
+from sacremoses import MosesTokenizer
+
+_en_tokenizer = MosesTokenizer("en")
+
+_model = None
+_model_name = None
+
+# SCB_1M-MT_OPUS+TBASE_en-th_moses-spm_130000-16000_v1.0.tar.gz
+_EN_TH_FILE_NAME = (
+    "SCB_1M-MT_OPUS+TBASE_en-th_moses-spm_130000-16000_v1.0"
+)
+# SCB_1M-MT_OPUS+TBASE_th-en_spm-spm_32000-joined_v1.0.tar.gz
+_TH_EN_FILE_NAME = "SCB_1M-MT_OPUS+TBASE_th-en_spm-spm_32000-joined_v1.0"
+
+
+def _download_install(name):
+    if get_corpus_path(name) is None:
+        download(name, force=True, version="1.0")
+        tar = tarfile.open(get_corpus_path(name), "r:gz")
+        tar.extractall()
+        tar.close()
+    if not os.path.exists(get_full_data_path(name)):
+        os.mkdir(get_full_data_path(name))
+        with tarfile.open(get_corpus_path(name)) as tar:
+            tar.extractall(path=get_full_data_path(name))
+
+
+def download_model_all() -> None:
+    """
+    Download Model
+    """
+    _download_install("scb_1m_th-en_spm")
+    _download_install("scb_1m_en-th_moses")
+
+
+def _get_translate_path(model: str, *path: str) -> str:
+    return os.path.join(get_full_data_path(model), *path)
+
+
+def _scb_en_th_model_init():
+    global _model, _model_name
+
+    if _model_name != "scb_1m_en-th_moses":
+        del _model
+        _model_name = "scb_1m_en-th_moses"
+        _download_install(_model_name)
+        _model = TransformerModel.from_pretrained(
+            model_name_or_path=_get_translate_path(
+                _model_name, _EN_TH_FILE_NAME, "models",
+            ),
+            checkpoint_file="checkpoint.pt",
+            data_name_or_path=_get_translate_path(
+                _model_name, _EN_TH_FILE_NAME, "vocab",
+            ),
+        )
+
+
+def _scb_en_th_translate(text: str) -> str:
+    global _model, _model_name
+
+    _scb_en_th_model_init()
+
+    tokens = " ".join(_en_tokenizer.tokenize(text))
+    translated = _model.translate(tokens)
+    return translated.replace(' ', '').replace('▁', ' ').strip()
+
+
+def _scb_th_en_model_init():
+    global _model, _model_name
+
+    if _model_name != "scb_1m_th-en_spm":
+        del _model
+        _model_name = "scb_1m_th-en_spm"
+        _download_install(_model_name)
+        _model = TransformerModel.from_pretrained(
+            model_name_or_path=_get_translate_path(
+                _model_name, _TH_EN_FILE_NAME, "models",
+            ),
+            checkpoint_file="checkpoint.pt",
+            data_name_or_path=_get_translate_path(
+                _model_name, _TH_EN_FILE_NAME, "vocab",
+            ),
+            bpe="sentencepiece",
+            sentencepiece_model=_get_translate_path(
+                _model_name, _TH_EN_FILE_NAME, "bpe", "spm.th.model",
+            ),
+        )
+
+
+def _scb_th_en_translate(text: str) -> str:
+    global _model, _model_name
+
+    _scb_th_en_model_init()
+
+    return _model.translate(text)
+
+
+def translate(text: str, source: str, target: str) -> str:
+    """
+    Translate Language
+
+    :param str text: input text in source language
+    :param str source: source language ("en" or "th")
+    :param str target: target language ("en" or "th")
+
+    :return: translated text in target language
+    :rtype: str
+    """
+    translated = None
+
+    if source == "th" and target == "en":
+        translated = _scb_th_en_translate(text)
+    elif source == "en" and target == "th":
+        translated = _scb_en_th_translate(text)
+    else:
+        return ValueError("The combination of the arguments isn't allowed.")
+
+    return translated

setup.py

@@ -11,7 +11,8 @@
 
 PyThaiNLP is a Python library for Thai natural language processing.
 The library provides functions like word tokenization, part-of-speech tagging,
-transliteration, soundex generation, and spell checking.
+transliteration, soundex generation, spell checking, and
+date and time parsing/formatting.
 
 # Install
 
@@ -29,13 +30,6 @@
 
 Some functionalities, like named-entity recognition, required extra packages.
 See https://github.com/PyThaiNLP/pythainlp for installation options.
-
-
-Made with ❤️
-
-PyThaiNLP Team
-
-"We build Thai NLP"
 """
 
 requirements = [
@@ -46,24 +40,33 @@
 
 extras = {
     "attacut": ["attacut>=1.0.6"],
-    "benchmarks": ["numpy>=1.16.1", "pandas>=0.24", "PyYAML>=5.3.1"],
+    "benchmarks": ["PyYAML>=5.3.1", "numpy>=1.16.1", "pandas>=0.24"],
     "icu": ["pyicu>=2.3"],
     "ipa": ["epitran>=1.1"],
     "ml": ["numpy>=1.16", "torch>=1.0.0"],
     "ssg": ["ssg>=0.0.6"],
     "thai2fit": ["emoji>=0.5.1", "gensim>=3.2.0", "numpy>=1.16.1"],
-    "thai2rom": ["torch>=1.0.0", "numpy>=1.16.1"],
+    "thai2rom": ["numpy>=1.16.1", "torch>=1.0.0"],
+    "translate": [
+        "fairseq>=0.10.0",
+        "sacremoses>=0.0.41",
+        "sentencepiece>=0.1.91",
+        "torch>=1.0.0",
+    ],
     "wordnet": ["nltk>=3.3.*"],
     "full": [
         "PyYAML>=5.3.1",
         "attacut>=1.0.4",
         "emoji>=0.5.1",
         "epitran>=1.1",
+        "fairseq>=0.10.0",
         "gensim>=3.2.0",
         "nltk>=3.3.*",
         "numpy>=1.16.1",
         "pandas>=0.24",
         "pyicu>=2.3",
+        "sacremoses>=0.0.41",
+        "sentencepiece>=0.1.91",
         "ssg>=0.0.6",
         "torch>=1.0.0",
     ],

tests/test_translate.py

@@ -0,0 +1,23 @@
+# -*- coding: utf-8 -*-
+
+import unittest
+
+from pythainlp.translate import translate
+
+
+class TestTranslatePackage(unittest.TestCase):
+    def test_translate(self):
+        self.assertIsNotNone(
+            translate(
+                "แมวกินปลา",
+                source="th",
+                target="en"
+            )
+        )
+        self.assertIsNotNone(
+            translate(
+                "the cat eats fish.",
+                source="en",
+                target="th"
+            )
+        )