# coding: utf8 from __future__ import unicode_literals, print_function import ujson import pip import importlib import regex as re from pathlib import Path import sys import textwrap from .symbols import ORTH from .compat import cupy, CudaStream, path2str, basestring_, input_, unicode_ LANGUAGES = {} _data_path = Path(__file__).parent / 'data' def get_lang_class(lang): """Import and load a Language class. lang (unicode): Two-letter language code, e.g. 'en'. RETURNS (Language): Language class. """ global LANGUAGES if not lang in LANGUAGES: try: module = importlib.import_module('.lang.%s' % lang, 'spacy') except ImportError: raise ImportError("Can't import language %s from spacy.lang." %lang) LANGUAGES[lang] = getattr(module, module.__all__[0]) return LANGUAGES[lang] def set_lang_class(name, cls): """Set a custom Language class name that can be loaded via get_lang_class. name (unicode): Name of Language class. cls (Language): Language class. """ global LANGUAGES LANGUAGES[name] = cls def get_data_path(require_exists=True): """Get path to spaCy data directory. require_exists (bool): Only return path if it exists, otherwise None. RETURNS (Path or None): Data path or None. """ if not require_exists: return _data_path else: return _data_path if _data_path.exists() else None def set_data_path(path): """Set path to spaCy data directory. path (unicode or Path): Path to new data directory. """ global _data_path _data_path = ensure_path(path) def ensure_path(path): """Ensure string is converted to a Path. path: Anything. If string, it's converted to Path. RETURNS: Path or original argument. """ if isinstance(path, basestring_): return Path(path) else: return path def resolve_model_path(name): """Resolve a model name or string to a model path. name (unicode): Package name, shortcut link or model path. RETURNS (Path): Path to model data directory. """ data_path = get_data_path() if not data_path or not data_path.exists(): raise IOError("Can't find spaCy data path: %s" % path2str(data_path)) if isinstance(name, basestring_): if (data_path / name).exists(): # in data dir or shortcut link return (data_path / name) if is_package(name): # installed as a package return get_model_package_path(name) if Path(name).exists(): # path to model return Path(name) elif hasattr(name, 'exists'): # Path or Path-like object return name raise IOError("Can't find model '%s'" % name) def is_package(name): """Check if string maps to a package installed via pip. name (unicode): Name of package. RETURNS (bool): True if installed package, False if not. """ packages = pip.get_installed_distributions() for package in packages: if package.project_name.replace('-', '_') == name: return True return False def get_model_package_path(package_name): """Get path to a model package installed via pip. package_name (unicode): Name of installed package. RETURNS (Path): Path to model data directory. """ # Here we're importing the module just to find it. This is worryingly # indirect, but it's otherwise very difficult to find the package. # Python's installation and import rules are very complicated. pkg = importlib.import_module(package_name) package_path = Path(pkg.__file__).parent.parent meta = parse_package_meta(package_path / package_name) model_name = '%s-%s' % (package_name, meta['version']) return package_path / package_name / model_name def parse_package_meta(package_path, require=True): """Check if a meta.json exists in a package and return its contents. package_path (Path): Path to model package directory. require (bool): If True, raise error if no meta.json is found. RETURNS (dict or None): Model meta.json data or None. """ location = package_path / 'meta.json' if location.is_file(): return read_json(location) elif require: raise IOError("Could not read meta.json from %s" % location) else: return None def is_in_jupyter(): """Check if user is in a Jupyter notebook. Mainly used for displaCy. RETURNS (bool): True if in Jupyter, False if not. """ try: cfg = get_ipython().config if cfg['IPKernelApp']['parent_appname'] == 'ipython-notebook': return True except NameError: return False return False def get_cuda_stream(require=False): # TODO: Error and tell to install chainer if not found # Requires GPU return CudaStream() if CudaStream is not None else None def get_async(stream, numpy_array): if cupy is None: return numpy_array else: return cupy.array(numpy_array, stream=stream) def read_regex(path): path = ensure_path(path) with path.open() as file_: entries = file_.read().split('\n') expression = '|'.join(['^' + re.escape(piece) for piece in entries if piece.strip()]) return re.compile(expression) def compile_prefix_regex(entries): if '(' in entries: # Handle deprecated data expression = '|'.join(['^' + re.escape(piece) for piece in entries if piece.strip()]) return re.compile(expression) else: expression = '|'.join(['^' + piece for piece in entries if piece.strip()]) return re.compile(expression) def compile_suffix_regex(entries): expression = '|'.join([piece + '$' for piece in entries if piece.strip()]) return re.compile(expression) def compile_infix_regex(entries): expression = '|'.join([piece for piece in entries if piece.strip()]) return re.compile(expression) def update_exc(base_exceptions, *addition_dicts): """Update and validate tokenizer exceptions. Will overwrite exceptions. base_exceptions (dict): Base exceptions. *addition_dicts (dict): Exceptions to add to the base dict, in order. RETURNS (dict): Combined tokenizer exceptions. """ exc = dict(base_exceptions) for additions in addition_dicts: for orth, token_attrs in additions.items(): if not all(isinstance(attr[ORTH], unicode_) for attr in token_attrs): msg = "Invalid value for ORTH in exception: key='%s', orths='%s'" raise ValueError(msg % (orth, token_attrs)) described_orth = ''.join(attr[ORTH] for attr in token_attrs) if orth != described_orth: raise ValueError("Invalid tokenizer exception: ORTH values " "combined don't match original string. " "key='%s', orths='%s'" % (orth, described_orth)) # overlap = set(exc.keys()).intersection(set(additions)) # assert not overlap, overlap exc.update(additions) exc = expand_exc(exc, "'", "’") return exc def expand_exc(excs, search, replace): """Find string in tokenizer exceptions, duplicate entry and replace string. For example, to add additional versions with typographic apostrophes. excs (dict): Tokenizer exceptions. search (unicode): String to find and replace. replace (unicode): Replacement. RETURNS (dict): Combined tokenizer exceptions. """ def _fix_token(token, search, replace): fixed = dict(token) fixed[ORTH] = fixed[ORTH].replace(search, replace) return fixed new_excs = dict(excs) for token_string, tokens in excs.items(): if search in token_string: new_key = token_string.replace(search, replace) new_value = [_fix_token(t, search, replace) for t in tokens] new_excs[new_key] = new_value return new_excs def normalize_slice(length, start, stop, step=None): if not (step is None or step == 1): raise ValueError("Stepped slices not supported in Span objects." "Try: list(tokens)[start:stop:step] instead.") if start is None: start = 0 elif start < 0: start += length start = min(length, max(0, start)) if stop is None: stop = length elif stop < 0: stop += length stop = min(length, max(start, stop)) assert 0 <= start <= stop <= length return start, stop def check_renamed_kwargs(renamed, kwargs): for old, new in renamed.items(): if old in kwargs: raise TypeError("Keyword argument %s now renamed to %s" % (old, new)) def read_json(location): """Open and load JSON from file. location (Path): Path to JSON file. RETURNS (dict): Loaded JSON content. """ with location.open('r', encoding='utf8') as f: return ujson.load(f) def get_raw_input(description, default=False): """Get user input from the command line via raw_input / input. description (unicode): Text to display before prompt. default (unicode or False/None): Default value to display with prompt. RETURNS (unicode): User input. """ additional = ' (default: %s)' % default if default else '' prompt = ' %s%s: ' % (description, additional) user_input = input_(prompt) return user_input def print_table(data, title=None): """Print data in table format. data (dict or list of tuples): Label/value pairs. title (unicode or None): Title, will be printed above. """ if isinstance(data, dict): data = list(data.items()) tpl_row = ' {:<15}' * len(data[0]) table = '\n'.join([tpl_row.format(l, v) for l, v in data]) if title: print('\n \033[93m{}\033[0m'.format(title)) print('\n{}\n'.format(table)) def print_markdown(data, title=None): """Print data in GitHub-flavoured Markdown format for issues etc. data (dict or list of tuples): Label/value pairs. title (unicode or None): Title, will be rendered as headline 2. """ def excl_value(value): return Path(value).exists() # contains path (personal info) if isinstance(data, dict): data = list(data.items()) markdown = ["* **{}:** {}".format(l, v) for l, v in data if not excl_value(v)] if title: print("\n## {}".format(title)) print('\n{}\n'.format('\n'.join(markdown))) def prints(*texts, **kwargs): """Print formatted message (manual ANSI escape sequences to avoid dependency) *texts (unicode): Texts to print. Each argument is rendered as paragraph. **kwargs: 'title' becomes coloured headline. 'exits'=True performs sys exit. """ exits = kwargs.get('exits', False) title = kwargs.get('title', None) title = '\033[93m{}\033[0m\n'.format(_wrap(title)) if title else '' message = '\n\n'.join([_wrap(text) for text in texts]) print('\n{}{}\n'.format(title, message)) if exits: sys.exit(0) def _wrap(text, wrap_max=80, indent=4): """Wrap text at given width using textwrap module. text (unicode): Text to wrap. If it's a Path, it's converted to string. wrap_max (int): Maximum line length (indent is deducted). indent (int): Number of spaces for indentation. RETURNS (unicode): Wrapped text. """ indent = indent * ' ' wrap_width = wrap_max - len(indent) if isinstance(text, Path): text = path2str(text) return textwrap.fill(text, width=wrap_width, initial_indent=indent, subsequent_indent=indent, break_long_words=False, break_on_hyphens=False) def minify_html(html): """Perform a template-specific, rudimentary HTML minification for displaCy. Disclaimer: NOT a general-purpose solution, only removes indentation/newlines. html (unicode): Markup to minify. RETURNS (unicode): "Minified" HTML. """ return html.strip().replace(' ', '').replace('\n', '')