<commit_before># This file is part of beets.
# Copyright 2015, <NAME>.
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
# distribute, sublicense, and/or sell copies of the Software, and to
# permit persons to whom the Software is furnished to do so, subject to
# the following conditions:
#
# The above copyright notice and this permission notice shall be
# included in all copies or substantial portions of the Software.

"""Parsing of strings into DBCore queries.
"""
from __future__ import division, absolute_import, print_function

import re
import itertools
from . import query


PARSE_QUERY_PART_REGEX = re.compile(
    # Non-capturing optional segment for the keyword.
    r'(?:'
    r'(\S+?)'    # The field key.
    r'(?<!\\):'  # Unescaped :
    r')?'

    r'(.*)',         # The term itself.

    re.I  # Case-insensitive.
)


def parse_query_part(part, query_classes={}, prefixes={},
                     default_class=query.SubstringQuery):
    """Take a query in the form of a key/value pair separated by a
    colon and return a tuple of `(key, value, cls)`. `key` may be None,
    indicating that any field may be matched. `cls` is a subclass of
    `FieldQuery`.

    The optional `query_classes` parameter maps field names to default
    query types; `default_class` is the fallback. `prefixes` is a map
    from query prefix markers and query types. Prefix-indicated queries
    take precedence over type-based queries.

    To determine the query class, two factors are used: prefixes and
    field types. For example, the colon prefix denotes a regular
    expression query and a type map might provide a special kind of
    query for numeric values. If neither a prefix nor a specific query
    class is available, `default_class` is used.

    For instance,
    'stapler' -> (None, 'stapler', SubstringQuery)
    'color:red' -> ('color', 'red', SubstringQuery)
    ':^Quiet' -> (None, '^Quiet', RegexpQuery)
    'color::b..e' -> ('color', 'b..e', RegexpQuery)

    Prefixes may be "escaped" with a backslash to disable the keying
    behavior.
    """
    part = part.strip()
    match = PARSE_QUERY_PART_REGEX.match(part)

    assert match  # Regex should always match.
    key = match.group(1)
    term = match.group(2).replace('\:', ':')

    # Match the search term against the list of prefixes.
    for pre, query_class in prefixes.items():
        if term.startswith(pre):
            return key, term[len(pre):], query_class

    # No matching prefix: use type-based or fallback/default query.
    query_class = query_classes.get(key, default_class)
    return key, term, query_class


def construct_query_part(model_cls, prefixes, query_part):
    """Create a query from a single query component, `query_part`, for
    querying instances of `model_cls`. Return a `Query` instance.
    """
    # Shortcut for empty query parts.
    if not query_part:
        return query.TrueQuery()

    # Get the query classes for each possible field.
    query_classes = {}
    for k, t in itertools.chain(model_cls._fields.items(),
                                model_cls._types.items()):
        query_classes[k] = t.query

    # Parse the string.
    key, pattern, query_class = \
        parse_query_part(query_part, query_classes, prefixes)

    # No key specified.
    if key is None:
        if issubclass(query_class, query.FieldQuery):
            # The query type matches a specific field, but none was
            # specified. So we use a version of the query that matches
            # any field.
            return query.AnyFieldQuery(pattern, model_cls._search_fields,
                                       query_class)
        else:
            # Other query type.
            return query_class(pattern)

    key = key.lower()
    return query_class(key.lower(), pattern, key in model_cls._fields)


def query_from_strings(query_cls, model_cls, prefixes, query_parts):
    """Creates a collection query of type `query_cls` from a list of
    strings in the format used by parse_query_part. `model_cls`
    determines how queries are constructed from strings.
    """
    subqueries = []
    for part in query_parts:
        subqueries.append(construct_query_part(model_cls, prefixes, part))
    if not subqueries:  # No terms in query.
        subqueries = [query.TrueQuery()]
    return query_cls(subqueries)


def construct_sort_part(model_cls, part):
    """Create a `Sort` from a single string criterion.

    `model_cls` is the `Model` being queried. `part` is a single string
    ending in ``+`` or ``-`` indicating the sort.
    """
    assert part, "part must be a field name and + or -"
    field = part[:-1]
    assert field, "field is missing"
    direction = part[-1]
    assert direction in ('+', '-'), "part must end with + or -"
    is_ascending = direction == '+'

    if field in model_cls._sorts:
        sort = model_cls._sorts[field](model_cls, is_ascending)
    elif field in model_cls._fields:
        sort = query.FixedFieldSort(field, is_ascending)
    else:
        # Flexible or computed.
        sort = query.SlowFieldSort(field, is_ascending)
    return sort


def sort_from_strings(model_cls, sort_parts):
    """Create a `Sort` from a list of sort criteria (strings).
    """
    if not sort_parts:
        sort = query.NullSort()
    elif len(sort_parts) == 1:
        sort = construct_sort_part(model_cls, sort_parts[0])
    else:
        sort = query.MultipleSort()
        for part in sort_parts:
            sort.add_sort(construct_sort_part(model_cls, part))
    return sort


def parse_sorted_query(model_cls, parts, prefixes={},
                       query_cls=query.AndQuery):
    """Given a list of strings, create the `Query` and `Sort` that they
    represent.
    """
    # Separate query token and sort token.
    query_parts = []
    sort_parts = []
    for part in parts:
        if part.endswith((u'+', u'-')) and u':' not in part:
            sort_parts.append(part)
        else:
            query_parts.append(part)

    # Parse each.
    q = query_from_strings(
        query_cls, model_cls, prefixes, query_parts
    )
    s = sort_from_strings(model_cls, sort_parts)
    return q, s<commit_msg>Use comma as "or" operator for queries<commit_after># This file is part of beets.
# Copyright 2015, <NAME>.
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
# distribute, sublicense, and/or sell copies of the Software, and to
# permit persons to whom the Software is furnished to do so, subject to
# the following conditions:
#
# The above copyright notice and this permission notice shall be
# included in all copies or substantial portions of the Software.

"""Parsing of strings into DBCore queries.
"""
from __future__ import division, absolute_import, print_function

import re
import itertools
from . import query


PARSE_QUERY_PART_REGEX = re.compile(
    # Non-capturing optional segment for the keyword.
    r'(?:'
    r'(\S+?)'    # The field key.
    r'(?<!\\):'  # Unescaped :
    r')?'

    r'(.*)',         # The term itself.

    re.I  # Case-insensitive.
)


def parse_query_part(part, query_classes={}, prefixes={},
                     default_class=query.SubstringQuery):
    """Take a query in the form of a key/value pair separated by a
    colon and return a tuple of `(key, value, cls)`. `key` may be None,
    indicating that any field may be matched. `cls` is a subclass of
    `FieldQuery`.

    The optional `query_classes` parameter maps field names to default
    query types; `default_class` is the fallback. `prefixes` is a map
    from query prefix markers and query types. Prefix-indicated queries
    take precedence over type-based queries.

    To determine the query class, two factors are used: prefixes and
    field types. For example, the colon prefix denotes a regular
    expression query and a type map might provide a special kind of
    query for numeric values. If neither a prefix nor a specific query
    class is available, `default_class` is used.

    For instance,
    'stapler' -> (None, 'stapler', SubstringQuery)
    'color:red' -> ('color', 'red', SubstringQuery)
    ':^Quiet' -> (None, '^Quiet', RegexpQuery)
    'color::b..e' -> ('color', 'b..e', RegexpQuery)

    Prefixes may be "escaped" with a backslash to disable the keying
    behavior.
    """
    part = part.strip()
    match = PARSE_QUERY_PART_REGEX.match(part)

    assert match  # Regex should always match.
    key = match.group(1)
    term = match.group(2).replace('\:', ':')

    # Match the search term against the list of prefixes.
    for pre, query_class in prefixes.items():
        if term.startswith(pre):
            return key, term[len(pre):], query_class

    # No matching prefix: use type-based or fallback/default query.
    query_class = query_classes.get(key, default_class)
    return key, term, query_class


def construct_query_part(model_cls, prefixes, query_part):
    """Create a query from a single query component, `query_part`, for
    querying instances of `model_cls`. Return a `Query` instance.
    """
    # Shortcut for empty query parts.
    if not query_part:
        return query.TrueQuery()

    # Get the query classes for each possible field.
    query_classes = {}
    for k, t in itertools.chain(model_cls._fields.items(),
                                model_cls._types.items()):
        query_classes[k] = t.query

    # Parse the string.
    key, pattern, query_class = \
        parse_query_part(query_part, query_classes, prefixes)

    # No key specified.
    if key is None:
        if issubclass(query_class, query.FieldQuery):
            # The query type matches a specific field, but none was
            # specified. So we use a version of the query that matches
            # any field.
            return query.AnyFieldQuery(pattern, model_cls._search_fields,
                                       query_class)
        else:
            # Other query type.
            return query_class(pattern)

    key = key.lower()
    return query_class(key.lower(), pattern, key in model_cls._fields)


def query_from_strings(query_cls, model_cls, prefixes, query_parts):
    """Creates a collection query of type `query_cls` from a list of
    strings in the format used by parse_query_part. `model_cls`
    determines how queries are constructed from strings.
    """
    subqueries = []
    for part in query_parts:
        subqueries.append(construct_query_part(model_cls, prefixes, part))
    if not subqueries:  # No terms in query.
        subqueries = [query.TrueQuery()]
    return query_cls(subqueries)


def construct_sort_part(model_cls, part):
    """Create a `Sort` from a single string criterion.

    `model_cls` is the `Model` being queried. `part` is a single string
    ending in ``+`` or ``-`` indicating the sort.
    """
    assert part, "part must be a field name and + or -"
    field = part[:-1]
    assert field, "field is missing"
    direction = part[-1]
    assert direction in ('+', '-'), "part must end with + or -"
    is_ascending = direction == '+'

    if field in model_cls._sorts:
        sort = model_cls._sorts[field](model_cls, is_ascending)
    elif field in model_cls._fields:
        sort = query.FixedFieldSort(field, is_ascending)
    else:
        # Flexible or computed.
        sort = query.SlowFieldSort(field, is_ascending)
    return sort


def sort_from_strings(model_cls, sort_parts):
    """Create a `Sort` from a list of sort criteria (strings).
    """
    if not sort_parts:
        sort = query.NullSort()
    elif len(sort_parts) == 1:
        sort = construct_sort_part(model_cls, sort_parts[0])
    else:
        sort = query.MultipleSort()
        for part in sort_parts:
            sort.add_sort(construct_sort_part(model_cls, part))
    return sort


def parse_sorted_query(model_cls, parts, prefixes={}):
    """Given a list of strings, create the `Query` and `Sort` that they
    represent.
    """
    # Separate query token and sort token.
    query_parts = []
    sort_parts = []

    # Split up query in to comma-separated subqueries, each representing
    # an AndQuery, which need to be joined together in one OrQuery
    subquery_parts = []
    for part in parts + [u',']:
        if part.endswith(u','):
            # Ensure we can catch "foo, bar" as well as "foo , bar"
            last_subquery_part = part[:-1]
            if last_subquery_part:
                subquery_parts.append(last_subquery_part)
            # Parse the subquery in to a single AndQuery
            # TODO: Avoid needlessly wrapping AndQueries containing 1 subquery?
            query_parts.append(query_from_strings(
                query.AndQuery, model_cls, prefixes, subquery_parts
            ))
            del subquery_parts[:]
        else:
            if part.endswith((u'+', u'-')) and u':' not in part:
                sort_parts.append(part)
            else:
                subquery_parts.append(part)

    # Avoid needlessly wrapping single statements in an OR
    q = query.OrQuery(query_parts) if len(query_parts) > 1 else query_parts[0]
    s = sort_from_strings(model_cls, sort_parts)
    return q, s
{'fraction_non_alphanumeric': 0.09471592581689726, 'fraction_numerical': 0.001766264350897851, 'mean_word_length': 2.801118881118881, 'pattern_counts': {'":': 0, '<': 7, '<?xml version=': 0, '>': 14, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 2, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '6687701', 'n_tokens_mistral': 4023, 'n_tokens_neox': 3901, 'n_words': 1421}