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# This file is part of beets.
# Copyright 2016, Fabrice Laporte.
#
# 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.
"""Provides the %bucket{} function for path formatting."""
import re
import string
from datetime import datetime
from itertools import tee
from beets import plugins, ui
ASCII_DIGITS = string.digits + string.ascii_lowercase
class BucketError(Exception):
pass
def pairwise(iterable):
"s -> (s0,s1), (s1,s2), (s2, s3), ..."
a, b = tee(iterable)
next(b, None)
return zip(a, b)
def span_from_str(span_str):
"""Build a span dict from the span string representation."""
def normalize_year(d, yearfrom):
"""Convert string to a 4 digits year"""
if yearfrom < 100:
raise BucketError(f"{yearfrom} must be expressed on 4 digits")
# if two digits only, pick closest year that ends by these two
# digits starting from yearfrom
if d < 100:
if (d % 100) < (yearfrom % 100):
d = (yearfrom - yearfrom % 100) + 100 + d
else:
d = (yearfrom - yearfrom % 100) + d
return d
years = [int(x) for x in re.findall(r"\d+", span_str)]
if not years:
raise ui.UserError(
f"invalid range defined for year bucket {span_str!r}: no year found"
)
try:
years = [normalize_year(x, years[0]) for x in years]
except BucketError as exc:
raise ui.UserError(
f"invalid range defined for year bucket {span_str!r}: {exc}"
)
res = {"from": years[0], "str": span_str}
if len(years) > 1:
res["to"] = years[-1]
return res
def complete_year_spans(spans):
"""Set the `to` value of spans if empty and sort them chronologically."""
spans.sort(key=lambda x: x["from"])
for x, y in pairwise(spans):
if "to" not in x:
x["to"] = y["from"] - 1
if spans and "to" not in spans[-1]:
spans[-1]["to"] = datetime.now().year
def extend_year_spans(spans, spanlen, start=1900, end=2014):
"""Add new spans to given spans list so that every year of [start,end]
belongs to a span.
"""
extended_spans = spans[:]
for x, y in pairwise(spans):
# if a gap between two spans, fill the gap with as much spans of
# spanlen length as necessary
for span_from in range(x["to"] + 1, y["from"], spanlen):
extended_spans.append({"from": span_from})
# Create spans prior to declared ones
for span_from in range(spans[0]["from"] - spanlen, start, -spanlen):
extended_spans.append({"from": span_from})
# Create spans after the declared ones
for span_from in range(spans[-1]["to"] + 1, end, spanlen):
extended_spans.append({"from": span_from})
complete_year_spans(extended_spans)
return extended_spans
def build_year_spans(year_spans_str):
"""Build a chronologically ordered list of spans dict from unordered spans
stringlist.
"""
spans = []
for elem in year_spans_str:
spans.append(span_from_str(elem))
complete_year_spans(spans)
return spans
def str2fmt(s):
"""Deduces formatting syntax from a span string."""
regex = re.compile(
r"(?P<bef>\D*)(?P<fromyear>\d+)(?P<sep>\D*)"
r"(?P<toyear>\d*)(?P<after>\D*)"
)
m = re.match(regex, s)
res = {
"fromnchars": len(m.group("fromyear")),
"tonchars": len(m.group("toyear")),
}
res["fmt"] = (
f"{m['bef']}{{}}{m['sep']}{'{}' if res['tonchars'] else ''}{m['after']}"
)
return res
def format_span(fmt, yearfrom, yearto, fromnchars, tonchars):
"""Return a span string representation."""
args = [str(yearfrom)[-fromnchars:]]
if tonchars:
args.append(str(yearto)[-tonchars:])
return fmt.format(*args)
def extract_modes(spans):
"""Extract the most common spans lengths and representation formats"""
rangelen = sorted([x["to"] - x["from"] + 1 for x in spans])
deflen = sorted(rangelen, key=rangelen.count)[-1]
reprs = [str2fmt(x["str"]) for x in spans]
deffmt = sorted(reprs, key=reprs.count)[-1]
return deflen, deffmt
def build_alpha_spans(alpha_spans_str, alpha_regexs):
"""Extract alphanumerics from string and return sorted list of chars
[from...to]
"""
spans = []
for elem in alpha_spans_str:
if elem in alpha_regexs:
spans.append(re.compile(alpha_regexs[elem]))
else:
bucket = sorted([x for x in elem.lower() if x.isalnum()])
if bucket:
begin_index = ASCII_DIGITS.index(bucket[0])
end_index = ASCII_DIGITS.index(bucket[-1])
else:
raise ui.UserError(
"invalid range defined for alpha bucket "
f"'{elem}': no alphanumeric character found"
)
spans.append(
re.compile(
rf"^[{ASCII_DIGITS[begin_index : end_index + 1]}]",
re.IGNORECASE,
)
)
return spans
class BucketPlugin(plugins.BeetsPlugin):
def __init__(self):
super().__init__()
self.template_funcs["bucket"] = self._tmpl_bucket
self.config.add(
{
"bucket_year": [],
"bucket_alpha": [],
"bucket_alpha_regex": {},
"extrapolate": False,
}
)
self.setup()
def setup(self):
"""Setup plugin from config options"""
self.year_spans = build_year_spans(self.config["bucket_year"].get())
if self.year_spans and self.config["extrapolate"]:
[self.ys_len_mode, self.ys_repr_mode] = extract_modes(
self.year_spans
)
self.year_spans = extend_year_spans(
self.year_spans, self.ys_len_mode
)
self.alpha_spans = build_alpha_spans(
self.config["bucket_alpha"].get(),
self.config["bucket_alpha_regex"].get(),
)
def find_bucket_year(self, year):
"""Return bucket that matches given year or return the year
if no matching bucket.
"""
for ys in self.year_spans:
if ys["from"] <= int(year) <= ys["to"]:
if "str" in ys:
return ys["str"]
else:
return format_span(
self.ys_repr_mode["fmt"],
ys["from"],
ys["to"],
self.ys_repr_mode["fromnchars"],
self.ys_repr_mode["tonchars"],
)
return year
def find_bucket_alpha(self, s):
"""Return alpha-range bucket that matches given string or return the
string initial if no matching bucket.
"""
for i, span in enumerate(self.alpha_spans):
if span.match(s):
return self.config["bucket_alpha"].get()[i]
return s[0].upper()
def _tmpl_bucket(self, text, field=None):
if not field and len(text) == 4 and text.isdigit():
field = "year"
if field == "year":
func = self.find_bucket_year
else:
func = self.find_bucket_alpha
return func(text)
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