mirror of
https://github.com/explosion/spaCy.git
synced 2024-09-21 11:29:13 +03:00
280 lines
8.9 KiB
Python
280 lines
8.9 KiB
Python
# coding: utf8
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from __future__ import unicode_literals, print_function
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import ujson
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import pip
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import importlib
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import regex as re
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from pathlib import Path
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import sys
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import textwrap
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from .symbols import ORTH
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from .compat import path2str, basestring_, input_, unicode_
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LANGUAGES = {}
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_data_path = Path(__file__).parent / 'data'
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def set_lang_class(name, cls):
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global LANGUAGES
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LANGUAGES[name] = cls
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def get_lang_class(name):
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if name in LANGUAGES:
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return LANGUAGES[name]
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lang = re.split('[^a-zA-Z0-9]', name, 1)[0]
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if lang not in LANGUAGES:
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raise RuntimeError('Language not supported: %s' % name)
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return LANGUAGES[lang]
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def load_lang_class(lang):
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module = importlib.import_module('.lang.%s' % lang, 'spacy')
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return getattr(module, module.__all__[0])
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def get_data_path(require_exists=True):
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if not require_exists:
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return _data_path
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else:
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return _data_path if _data_path.exists() else None
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def set_data_path(path):
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global _data_path
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_data_path = ensure_path(path)
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def ensure_path(path):
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if isinstance(path, basestring_):
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return Path(path)
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else:
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return path
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def resolve_load_name(name, **overrides):
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if overrides.get('path') not in (None, False, True):
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name = overrides.get('path')
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prints("To load a model from a path, you can now use the first argument. "
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"The model meta is used to load the required Language class.",
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"OLD: spacy.load('en', path='/some/path')", "NEW: spacy.load('/some/path')",
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title="Warning: deprecated argument 'path'")
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return name
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def resolve_model_path(name):
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data_path = get_data_path()
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if not data_path or not data_path.exists():
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raise IOError("Can't find spaCy data path: %s" % path2str(data_path))
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if isinstance(name, basestring_):
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if (data_path / name).exists(): # in data dir or shortcut link
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return (data_path / name)
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if is_package(name): # installed as a package
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return get_model_package_path(name)
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if Path(name).exists(): # path to model
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return Path(name)
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elif hasattr(name, 'exists'): # Path or Path-like object
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return name
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raise IOError("Can't find model '%s'" % name)
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def is_package(origin):
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"""
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Check if string maps to a package installed via pip.
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"""
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packages = pip.get_installed_distributions()
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for package in packages:
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if package.project_name.replace('-', '_') == origin:
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return True
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return False
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def get_model_package_path(package_name):
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# Here we're importing the module just to find it. This is worryingly
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# indirect, but it's otherwise very difficult to find the package.
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# Python's installation and import rules are very complicated.
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pkg = importlib.import_module(package_name)
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package_path = Path(pkg.__file__).parent.parent
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meta = parse_package_meta(package_path / package_name)
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model_name = '%s-%s' % (package_name, meta['version'])
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return package_path / package_name / model_name
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def parse_package_meta(package_path, require=True):
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"""
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Check if a meta.json exists in a package and return its contents as a
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dictionary. If require is set to True, raise an error if no meta.json found.
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"""
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location = package_path / 'meta.json'
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if location.is_file():
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return read_json(location)
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elif require:
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raise IOError("Could not read meta.json from %s" % location)
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else:
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return None
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def read_regex(path):
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path = ensure_path(path)
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with path.open() as file_:
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entries = file_.read().split('\n')
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expression = '|'.join(['^' + re.escape(piece) for piece in entries if piece.strip()])
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return re.compile(expression)
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def compile_prefix_regex(entries):
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if '(' in entries:
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# Handle deprecated data
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expression = '|'.join(['^' + re.escape(piece) for piece in entries if piece.strip()])
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return re.compile(expression)
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else:
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expression = '|'.join(['^' + piece for piece in entries if piece.strip()])
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return re.compile(expression)
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def compile_suffix_regex(entries):
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expression = '|'.join([piece + '$' for piece in entries if piece.strip()])
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return re.compile(expression)
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def compile_infix_regex(entries):
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expression = '|'.join([piece for piece in entries if piece.strip()])
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return re.compile(expression)
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def update_exc(base_exceptions, *addition_dicts):
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exc = dict(base_exceptions)
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for additions in addition_dicts:
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for orth, token_attrs in additions.items():
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if not all(isinstance(attr[ORTH], unicode_) for attr in token_attrs):
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msg = "Invalid value for ORTH in exception: key='%s', orths='%s'"
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raise ValueError(msg % (orth, token_attrs))
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described_orth = ''.join(attr[ORTH] for attr in token_attrs)
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if orth != described_orth:
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# TODO: Better error
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msg = "Invalid tokenizer exception: key='%s', orths='%s'"
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raise ValueError(msg % (orth, described_orth))
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# overlap = set(exc.keys()).intersection(set(additions))
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# assert not overlap, overlap
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exc.update(additions)
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expand_exc(exc, "'", "’")
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return exc
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def expand_exc(excs, search, replace):
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def _fix_token(token, search, replace):
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fixed = dict(token)
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fixed[ORTH] = fixed[ORTH].replace(search, replace)
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return fixed
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updates = {}
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for token_string, tokens in excs.items():
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if search in token_string:
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new_key = token_string.replace(search, replace)
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new_value = [_fix_token(t, search, replace) for t in tokens]
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updates[new_key] = new_value
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return updates
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def normalize_slice(length, start, stop, step=None):
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if not (step is None or step == 1):
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raise ValueError("Stepped slices not supported in Span objects."
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"Try: list(tokens)[start:stop:step] instead.")
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if start is None:
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start = 0
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elif start < 0:
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start += length
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start = min(length, max(0, start))
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if stop is None:
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stop = length
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elif stop < 0:
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stop += length
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stop = min(length, max(start, stop))
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assert 0 <= start <= stop <= length
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return start, stop
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def check_renamed_kwargs(renamed, kwargs):
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for old, new in renamed.items():
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if old in kwargs:
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raise TypeError("Keyword argument %s now renamed to %s" % (old, new))
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def read_json(location):
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with location.open('r', encoding='utf8') as f:
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return ujson.load(f)
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def get_raw_input(description, default=False):
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"""
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Get user input via raw_input / input and return input value. Takes a
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description, and an optional default value to display with the prompt.
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"""
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additional = ' (default: %s)' % default if default else ''
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prompt = ' %s%s: ' % (description, additional)
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user_input = input_(prompt)
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return user_input
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def print_table(data, title=None):
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"""
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Print data in table format. Can either take a list of tuples or a
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dictionary, which will be converted to a list of tuples.
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"""
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if type(data) == dict:
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data = list(data.items())
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tpl_row = ' {:<15}' * len(data[0])
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table = '\n'.join([tpl_row.format(l, v) for l, v in data])
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if title:
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print('\n \033[93m{}\033[0m'.format(title))
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print('\n{}\n'.format(table))
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def print_markdown(data, title=None):
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"""
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Print listed data in GitHub-flavoured Markdown format so it can be
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copy-pasted into issues. Can either take a list of tuples or a dictionary.
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"""
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def excl_value(value):
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return Path(value).exists() # contains path (personal info)
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if type(data) == dict:
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data = list(data.items())
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markdown = ["* **{}:** {}".format(l, v) for l, v in data if not excl_value(v)]
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if title:
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print("\n## {}".format(title))
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print('\n{}\n'.format('\n'.join(markdown)))
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def prints(*texts, **kwargs):
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"""
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Print formatted message. Each positional argument is rendered as newline-
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separated paragraph. An optional highlighted title is printed above the text
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(using ANSI escape sequences manually to avoid unnecessary dependency).
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"""
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exits = kwargs.get('exits', False)
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title = kwargs.get('title', None)
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title = '\033[93m{}\033[0m\n'.format(_wrap(title)) if title else ''
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message = '\n\n'.join([_wrap(text) for text in texts])
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print('\n{}{}\n'.format(title, message))
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if exits:
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sys.exit(0)
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def _wrap(text, wrap_max=80, indent=4):
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"""
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Wrap text at given width using textwrap module. Indent should consist of
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spaces. Its length is deducted from wrap width to ensure exact wrapping.
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"""
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indent = indent * ' '
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wrap_width = wrap_max - len(indent)
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if isinstance(text, Path):
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text = path2str(text)
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return textwrap.fill(text, width=wrap_width, initial_indent=indent,
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subsequent_indent=indent, break_long_words=False,
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break_on_hyphens=False)
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