beets/beets/dbcore/queryparse.py
Pierre Rust 86c34f8740 Moves default sort specification from code to conf
Default sort order can be set in configuration file with the
`sort_album` and `sort_item` keys.
2014-06-15 22:32:25 +02:00

153 lines
No EOL
5.4 KiB
Python

# This file is part of beets.
# Copyright 2014, Adrian Sampson.
#
# 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.
"""
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):
""" Creates a Sort object from a single criteria. Returns a `Sort` instance.
"""
sort = None
field = part[:-1]
is_ascending = (part[-1] == '+')
if field in model_cls._fields:
sort = query.FixedFieldSort(field, is_ascending)
elif field in model_cls._getters():
# Computed field, all following fields must use the slow path.
pass
elif field in query.special_sorts:
sort = query.special_sorts[field](model_cls, is_ascending)
else:
# Neither fixed nor computed : must be a flex attr.
sort = query.FlexFieldSort(model_cls, field, is_ascending)
return sort
def sort_from_strings(model_cls, sort_parts):
"""Creates a Sort object from a list of sort criteria strings.
"""
if not sort_parts:
return None
sort = query.MultipleSort()
for part in sort_parts:
sort.add_criteria(construct_sort_part(model_cls, part))
return sort