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parse.py
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parse.py
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from __future__ import absolute_import
import logging
import re
import sys
from datetime import datetime
from datetime import time
from datetime import timedelta
from datetime import tzinfo
from decimal import Decimal
from functools import partial
__version__ = "1.20.2"
__all__ = ["parse", "search", "findall", "with_pattern"]
log = logging.getLogger(__name__)
def with_pattern(pattern, regex_group_count=None):
r"""Attach a regular expression pattern matcher to a custom type converter
function.
This annotates the type converter with the :attr:`pattern` attribute.
EXAMPLE:
>>> import parse
>>> @parse.with_pattern(r"\d+")
... def parse_number(text):
... return int(text)
is equivalent to:
>>> def parse_number(text):
... return int(text)
>>> parse_number.pattern = r"\d+"
:param pattern: regular expression pattern (as text)
:param regex_group_count: Indicates how many regex-groups are in pattern.
:return: wrapped function
"""
def decorator(func):
func.pattern = pattern
func.regex_group_count = regex_group_count
return func
return decorator
class int_convert:
"""Convert a string to an integer.
The string may start with a sign.
It may be of a base other than 2, 8, 10 or 16.
If base isn't specified, it will be detected automatically based
on a string format. When string starts with a base indicator, 0#nnnn,
it overrides the default base of 10.
It may also have other non-numeric characters that we can ignore.
"""
CHARS = "0123456789abcdefghijklmnopqrstuvwxyz"
def __init__(self, base=None):
self.base = base
def __call__(self, string, match):
if string[0] == "-":
sign = -1
number_start = 1
elif string[0] == "+":
sign = 1
number_start = 1
else:
sign = 1
number_start = 0
base = self.base
# If base wasn't specified, detect it automatically
if base is None:
# Assume decimal number, unless different base is detected
base = 10
# For number formats starting with 0b, 0o, 0x, use corresponding base ...
if string[number_start] == "0" and len(string) - number_start > 2:
if string[number_start + 1] in "bB":
base = 2
elif string[number_start + 1] in "oO":
base = 8
elif string[number_start + 1] in "xX":
base = 16
chars = int_convert.CHARS[:base]
string = re.sub("[^%s]" % chars, "", string.lower())
return sign * int(string, base)
class convert_first:
"""Convert the first element of a pair.
This equivalent to lambda s,m: converter(s). But unlike a lambda function, it can be pickled
"""
def __init__(self, converter):
self.converter = converter
def __call__(self, string, match):
return self.converter(string)
def percentage(string, match):
return float(string[:-1]) / 100.0
class FixedTzOffset(tzinfo):
"""Fixed offset in minutes east from UTC."""
ZERO = timedelta(0)
def __init__(self, offset, name):
self._offset = timedelta(minutes=offset)
self._name = name
def __repr__(self):
return "<%s %s %s>" % (self.__class__.__name__, self._name, self._offset)
def utcoffset(self, dt):
return self._offset
def tzname(self, dt):
return self._name
def dst(self, dt):
return self.ZERO
def __eq__(self, other):
if not isinstance(other, FixedTzOffset):
return NotImplemented
return self._name == other._name and self._offset == other._offset
MONTHS_MAP = {
"Jan": 1,
"January": 1,
"Feb": 2,
"February": 2,
"Mar": 3,
"March": 3,
"Apr": 4,
"April": 4,
"May": 5,
"Jun": 6,
"June": 6,
"Jul": 7,
"July": 7,
"Aug": 8,
"August": 8,
"Sep": 9,
"September": 9,
"Oct": 10,
"October": 10,
"Nov": 11,
"November": 11,
"Dec": 12,
"December": 12,
}
DAYS_PAT = r"(Mon|Tue|Wed|Thu|Fri|Sat|Sun)"
MONTHS_PAT = r"(Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)"
ALL_MONTHS_PAT = r"(%s)" % "|".join(MONTHS_MAP)
TIME_PAT = r"(\d{1,2}:\d{1,2}(:\d{1,2}(\.\d+)?)?)"
AM_PAT = r"(\s+[AP]M)"
TZ_PAT = r"(\s+[-+]\d\d?:?\d\d)"
def date_convert(
string,
match,
ymd=None,
mdy=None,
dmy=None,
d_m_y=None,
hms=None,
am=None,
tz=None,
mm=None,
dd=None,
):
"""Convert the incoming string containing some date / time info into a
datetime instance.
"""
groups = match.groups()
time_only = False
if mm and dd:
y = datetime.today().year
m = groups[mm]
d = groups[dd]
elif ymd is not None:
y, m, d = re.split(r"[-/\s]", groups[ymd])
elif mdy is not None:
m, d, y = re.split(r"[-/\s]", groups[mdy])
elif dmy is not None:
d, m, y = re.split(r"[-/\s]", groups[dmy])
elif d_m_y is not None:
d, m, y = d_m_y
d = groups[d]
m = groups[m]
y = groups[y]
else:
time_only = True
H = M = S = u = 0
if hms is not None and groups[hms]:
t = groups[hms].split(":")
if len(t) == 2:
H, M = t
else:
H, M, S = t
if "." in S:
S, u = S.split(".")
u = int(float("." + u) * 1000000)
S = int(S)
H = int(H)
M = int(M)
if am is not None:
am = groups[am]
if am:
am = am.strip()
if am == "AM" and H == 12:
# correction for "12" hour functioning as "0" hour: 12:15 AM = 00:15 by 24 hr clock
H -= 12
elif am == "PM" and H == 12:
# no correction needed: 12PM is midday, 12:00 by 24 hour clock
pass
elif am == "PM":
H += 12
if tz is not None:
tz = groups[tz]
if tz == "Z":
tz = FixedTzOffset(0, "UTC")
elif tz:
tz = tz.strip()
if tz.isupper():
# TODO use the awesome python TZ module?
pass
else:
sign = tz[0]
if ":" in tz:
tzh, tzm = tz[1:].split(":")
elif len(tz) == 4: # 'snnn'
tzh, tzm = tz[1], tz[2:4]
else:
tzh, tzm = tz[1:3], tz[3:5]
offset = int(tzm) + int(tzh) * 60
if sign == "-":
offset = -offset
tz = FixedTzOffset(offset, tz)
if time_only:
d = time(H, M, S, u, tzinfo=tz)
else:
y = int(y)
if m.isdigit():
m = int(m)
else:
m = MONTHS_MAP[m]
d = int(d)
d = datetime(y, m, d, H, M, S, u, tzinfo=tz)
return d
def strf_date_convert(x, _, type):
is_date = any("%" + x in type for x in "aAwdbBmyYjUW")
is_time = any("%" + x in type for x in "HIpMSfz")
dt = datetime.strptime(x, type)
if "%y" not in type and "%Y" not in type: # year not specified
dt = dt.replace(year=datetime.today().year)
if is_date and is_time:
return dt
elif is_date:
return dt.date()
elif is_time:
return dt.time()
else:
ValueError("Datetime not a date nor a time?")
# ref: https://docs.python.org/3/library/datetime.html#strftime-and-strptime-format-codes
dt_format_to_regex = {
"%a": "(?:Sun|Mon|Tue|Wed|Thu|Fri|Sat)",
"%A": "(?:Sunday|Monday|Tuesday|Wednesday|Thursday|Friday|Saturday)",
"%w": "[0-6]",
"%d": "[0-9]{1,2}",
"%b": "(?:Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)",
"%B": "(?:January|February|March|April|May|June|July|August|September|October|November|December)",
"%m": "[0-9]{1,2}",
"%y": "[0-9]{2}",
"%Y": "[0-9]{4}",
"%H": "[0-9]{1,2}",
"%I": "[0-9]{1,2}",
"%p": "(?:AM|PM)",
"%M": "[0-9]{2}",
"%S": "[0-9]{2}",
"%f": "[0-9]{1,6}",
"%z": "[+|-][0-9]{2}(:?[0-9]{2})?(:?[0-9]{2})?",
# "%Z": punt
"%j": "[0-9]{1,3}",
"%U": "[0-9]{1,2}",
"%W": "[0-9]{1,2}",
}
# Compile a regular expression pattern that matches any date/time format symbol.
dt_format_symbols_re = re.compile("|".join(dt_format_to_regex))
def get_regex_for_datetime_format(format_):
"""
Generate a regex pattern for a given datetime format string.
Parameters:
format_ (str): The datetime format string.
Returns:
str: A regex pattern corresponding to the datetime format string.
"""
# Replace all format symbols with their regex patterns.
return dt_format_symbols_re.sub(lambda m: dt_format_to_regex[m.group(0)], format_)
class TooManyFields(ValueError):
pass
class RepeatedNameError(ValueError):
pass
# note: {} are handled separately
REGEX_SAFETY = re.compile(r"([?\\.[\]()*+^$!|])")
# allowed field types
ALLOWED_TYPES = set(list("nbox%fFegwWdDsSl") + ["t" + c for c in "ieahgcts"])
def extract_format(format, extra_types):
"""Pull apart the format [[fill]align][sign][0][width][.precision][type]"""
fill = align = None
if format[0] in "<>=^":
align = format[0]
format = format[1:]
elif len(format) > 1 and format[1] in "<>=^":
fill = format[0]
align = format[1]
format = format[2:]
if format.startswith(("+", "-", " ")):
format = format[1:]
zero = False
if format and format[0] == "0":
zero = True
format = format[1:]
width = ""
while format:
if not format[0].isdigit():
break
width += format[0]
format = format[1:]
if format.startswith("."):
# Precision isn't needed but we need to capture it so that
# the ValueError isn't raised.
format = format[1:] # drop the '.'
precision = ""
while format:
if not format[0].isdigit():
break
precision += format[0]
format = format[1:]
# the rest is the type, if present
type = format
if (
type
and type not in ALLOWED_TYPES
and type not in extra_types
and not any(k in type for k in dt_format_to_regex)
):
raise ValueError("format spec %r not recognised" % type)
return locals()
PARSE_RE = re.compile(r"({{|}}|{[\w-]*(?:\.[\w-]+|\[[^]]+])*(?::[^}]+)?})")
class Parser(object):
"""Encapsulate a format string that may be used to parse other strings."""
def __init__(self, format, extra_types=None, case_sensitive=False):
# a mapping of a name as in {hello.world} to a regex-group compatible
# name, like hello__world. It's used to prevent the transformation of
# name-to-group and group to name to fail subtly, such as in:
# hello_.world-> hello___world->hello._world
self._group_to_name_map = {}
# also store the original field name to group name mapping to allow
# multiple instances of a name in the format string
self._name_to_group_map = {}
# and to sanity check the repeated instances store away the first
# field type specification for the named field
self._name_types = {}
self._format = format
if extra_types is None:
extra_types = {}
self._extra_types = extra_types
if case_sensitive:
self._re_flags = re.DOTALL
else:
self._re_flags = re.IGNORECASE | re.DOTALL
self._fixed_fields = []
self._named_fields = []
self._group_index = 0
self._type_conversions = {}
self._expression = self._generate_expression()
self.__search_re = None
self.__match_re = None
log.debug("format %r -> %r", format, self._expression)
def __repr__(self):
if len(self._format) > 20:
return "<%s %r>" % (self.__class__.__name__, self._format[:17] + "...")
return "<%s %r>" % (self.__class__.__name__, self._format)
@property
def _search_re(self):
if self.__search_re is None:
try:
self.__search_re = re.compile(self._expression, self._re_flags)
except AssertionError:
# access error through sys to keep py3k and backward compat
e = str(sys.exc_info()[1])
if e.endswith("this version only supports 100 named groups"):
raise TooManyFields(
"sorry, you are attempting to parse too many complex fields"
)
return self.__search_re
@property
def _match_re(self):
if self.__match_re is None:
expression = r"\A%s\Z" % self._expression
try:
self.__match_re = re.compile(expression, self._re_flags)
except AssertionError:
# access error through sys to keep py3k and backward compat
e = str(sys.exc_info()[1])
if e.endswith("this version only supports 100 named groups"):
raise TooManyFields(
"sorry, you are attempting to parse too many complex fields"
)
except re.error:
raise NotImplementedError(
"Group names (e.g. (?P<name>) can "
"cause failure, as they are not escaped properly: '%s'" % expression
)
return self.__match_re
@property
def named_fields(self):
return self._named_fields[:]
@property
def fixed_fields(self):
return self._fixed_fields[:]
@property
def format(self):
return self._format
def parse(self, string, evaluate_result=True):
"""Match my format to the string exactly.
Return a Result or Match instance or None if there's no match.
"""
m = self._match_re.match(string)
if m is None:
return None
if evaluate_result:
return self.evaluate_result(m)
else:
return Match(self, m)
def search(self, string, pos=0, endpos=None, evaluate_result=True):
"""Search the string for my format.
Optionally start the search at "pos" character index and limit the
search to a maximum index of endpos - equivalent to
search(string[:endpos]).
If the ``evaluate_result`` argument is set to ``False`` a
Match instance is returned instead of the actual Result instance.
Return either a Result instance or None if there's no match.
"""
if endpos is None:
endpos = len(string)
m = self._search_re.search(string, pos, endpos)
if m is None:
return None
if evaluate_result:
return self.evaluate_result(m)
else:
return Match(self, m)
def findall(
self, string, pos=0, endpos=None, extra_types=None, evaluate_result=True
):
"""Search "string" for all occurrences of "format".
Optionally start the search at "pos" character index and limit the
search to a maximum index of endpos - equivalent to
search(string[:endpos]).
Returns an iterator that holds Result or Match instances for each format match
found.
"""
if endpos is None:
endpos = len(string)
return ResultIterator(
self, string, pos, endpos, evaluate_result=evaluate_result
)
def _expand_named_fields(self, named_fields):
result = {}
for field, value in named_fields.items():
# split 'aaa[bbb][ccc]...' into 'aaa' and '[bbb][ccc]...'
n = field.find("[")
if n == -1:
basename, subkeys = field, ""
else:
basename, subkeys = field[:n], field[n:]
# create nested dictionaries {'aaa': {'bbb': {'ccc': ...}}}
d = result
k = basename
if subkeys:
for subkey in re.findall(r"\[[^]]+]", subkeys):
d = d.setdefault(k, {})
k = subkey[1:-1]
# assign the value to the last key
d[k] = value
return result
def evaluate_result(self, m):
"""Generate a Result instance for the given regex match object"""
# ok, figure the fixed fields we've pulled out and type convert them
fixed_fields = list(m.groups())
for n in self._fixed_fields:
if n in self._type_conversions:
fixed_fields[n] = self._type_conversions[n](fixed_fields[n], m)
fixed_fields = tuple(fixed_fields[n] for n in self._fixed_fields)
# grab the named fields, converting where requested
groupdict = m.groupdict()
named_fields = {}
name_map = {}
for k in self._named_fields:
korig = self._group_to_name_map[k]
name_map[korig] = k
if k in self._type_conversions:
value = self._type_conversions[k](groupdict[k], m)
else:
value = groupdict[k]
named_fields[korig] = value
# now figure the match spans
spans = {n: m.span(name_map[n]) for n in named_fields}
spans.update((i, m.span(n + 1)) for i, n in enumerate(self._fixed_fields))
# and that's our result
return Result(fixed_fields, self._expand_named_fields(named_fields), spans)
def _regex_replace(self, match):
return "\\" + match.group(1)
def _generate_expression(self):
# turn my _format attribute into the _expression attribute
e = []
for part in PARSE_RE.split(self._format):
if not part:
continue
elif part == "{{":
e.append(r"\{")
elif part == "}}":
e.append(r"\}")
elif part[0] == "{" and part[-1] == "}":
# this will be a braces-delimited field to handle
e.append(self._handle_field(part))
else:
# just some text to match
e.append(REGEX_SAFETY.sub(self._regex_replace, part))
return "".join(e)
def _to_group_name(self, field):
# return a version of field which can be used as capture group, even
# though it might contain '.'
group = field.replace(".", "_").replace("[", "_").replace("]", "_").replace("-", "_")
# make sure we don't collide ("a.b" colliding with "a_b")
n = 1
while group in self._group_to_name_map:
n += 1
if "." in field:
group = field.replace(".", "_" * n)
elif "_" in field:
group = field.replace("_", "_" * n)
elif "-" in field:
group = field.replace("-", "_" * n)
else:
raise KeyError("duplicated group name %r" % (field,))
# save off the mapping
self._group_to_name_map[group] = field
self._name_to_group_map[field] = group
return group
def _handle_field(self, field):
# first: lose the braces
field = field[1:-1]
# now figure whether this is an anonymous or named field, and whether
# there's any format specification
format = ""
if ":" in field:
name, format = field.split(":", 1)
else:
name = field
# This *should* be more flexible, but parsing complicated structures
# out of the string is hard (and not necessarily useful) ... and I'm
# being lazy. So for now `identifier` is "anything starting with a
# letter" and digit args don't get attribute or element stuff.
if name and name[0].isalpha():
if name in self._name_to_group_map:
if self._name_types[name] != format:
raise RepeatedNameError(
'field type %r for field "%s" '
"does not match previous seen type %r"
% (format, name, self._name_types[name])
)
group = self._name_to_group_map[name]
# match previously-seen value
return r"(?P=%s)" % group
else:
group = self._to_group_name(name)
self._name_types[name] = format
self._named_fields.append(group)
# this will become a group, which must not contain dots
wrap = r"(?P<%s>%%s)" % group
else:
self._fixed_fields.append(self._group_index)
wrap = r"(%s)"
group = self._group_index
# simplest case: no type specifier ({} or {name})
if not format:
self._group_index += 1
return wrap % r".+?"
# decode the format specification
format = extract_format(format, self._extra_types)
# figure type conversions, if any
type = format["type"]
is_numeric = type and type in "n%fegdobx"
conv = self._type_conversions
if type in self._extra_types:
type_converter = self._extra_types[type]
s = getattr(type_converter, "pattern", r".+?")
regex_group_count = getattr(type_converter, "regex_group_count", 0)
if regex_group_count is None:
regex_group_count = 0
self._group_index += regex_group_count
conv[group] = convert_first(type_converter)
elif type == "n":
s = r"\d{1,3}([,.]\d{3})*"
self._group_index += 1
conv[group] = int_convert(10)
elif type == "b":
s = r"(0[bB])?[01]+"
conv[group] = int_convert(2)
self._group_index += 1
elif type == "o":
s = r"(0[oO])?[0-7]+"
conv[group] = int_convert(8)
self._group_index += 1
elif type == "x":
s = r"(0[xX])?[0-9a-fA-F]+"
conv[group] = int_convert(16)
self._group_index += 1
elif type == "%":
s = r"\d+(\.\d+)?%"
self._group_index += 1
conv[group] = percentage
elif type == "f":
s = r"\d*\.\d+"
conv[group] = convert_first(float)
elif type == "F":
s = r"\d*\.\d+"
conv[group] = convert_first(Decimal)
elif type == "e":
s = r"\d*\.\d+[eE][-+]?\d+|nan|NAN|[-+]?inf|[-+]?INF"
conv[group] = convert_first(float)
elif type == "g":
s = r"\d+(\.\d+)?([eE][-+]?\d+)?|nan|NAN|[-+]?inf|[-+]?INF"
self._group_index += 2
conv[group] = convert_first(float)
elif type == "d":
if format.get("width"):
width = r"{1,%s}" % int(format["width"])
else:
width = "+"
s = r"\d{w}|[-+ ]?0[xX][0-9a-fA-F]{w}|[-+ ]?0[bB][01]{w}|[-+ ]?0[oO][0-7]{w}".format(
w=width
)
conv[group] = int_convert()
# do not specify number base, determine it automatically
elif any(k in type for k in dt_format_to_regex):
s = get_regex_for_datetime_format(type)
conv[group] = partial(strf_date_convert, type=type)
elif type == "ti":
s = r"(\d{4}-\d\d-\d\d)((\s+|T)%s)?(Z|\s*[-+]\d\d:?\d\d)?" % TIME_PAT
n = self._group_index
conv[group] = partial(date_convert, ymd=n + 1, hms=n + 4, tz=n + 7)
self._group_index += 7
elif type == "tg":
s = r"(\d{1,2}[-/](\d{1,2}|%s)[-/]\d{4})(\s+%s)?%s?%s?"
s %= (ALL_MONTHS_PAT, TIME_PAT, AM_PAT, TZ_PAT)
n = self._group_index
conv[group] = partial(
date_convert, dmy=n + 1, hms=n + 5, am=n + 8, tz=n + 9
)
self._group_index += 9
elif type == "ta":
s = r"((\d{1,2}|%s)[-/]\d{1,2}[-/]\d{4})(\s+%s)?%s?%s?"
s %= (ALL_MONTHS_PAT, TIME_PAT, AM_PAT, TZ_PAT)
n = self._group_index
conv[group] = partial(
date_convert, mdy=n + 1, hms=n + 5, am=n + 8, tz=n + 9
)
self._group_index += 9
elif type == "te":
# this will allow microseconds through if they're present, but meh
s = r"(%s,\s+)?(\d{1,2}\s+%s\s+\d{4})\s+%s%s"
s %= (DAYS_PAT, MONTHS_PAT, TIME_PAT, TZ_PAT)
n = self._group_index
conv[group] = partial(date_convert, dmy=n + 3, hms=n + 5, tz=n + 8)
self._group_index += 8
elif type == "th":
# slight flexibility here from the stock Apache format
s = r"(\d{1,2}[-/]%s[-/]\d{4}):%s%s" % (MONTHS_PAT, TIME_PAT, TZ_PAT)
n = self._group_index
conv[group] = partial(date_convert, dmy=n + 1, hms=n + 3, tz=n + 6)
self._group_index += 6
elif type == "tc":
s = r"(%s)\s+%s\s+(\d{1,2})\s+%s\s+(\d{4})"
s %= (DAYS_PAT, MONTHS_PAT, TIME_PAT)
n = self._group_index
conv[group] = partial(date_convert, d_m_y=(n + 4, n + 3, n + 8), hms=n + 5)
self._group_index += 8
elif type == "tt":
s = r"%s?%s?%s?" % (TIME_PAT, AM_PAT, TZ_PAT)
n = self._group_index
conv[group] = partial(date_convert, hms=n + 1, am=n + 4, tz=n + 5)
self._group_index += 5
elif type == "ts":
s = r"%s(\s+)(\d+)(\s+)(\d{1,2}:\d{1,2}:\d{1,2})?" % MONTHS_PAT
n = self._group_index
conv[group] = partial(date_convert, mm=n + 1, dd=n + 3, hms=n + 5)
self._group_index += 5
elif type == "l":
s = r"[A-Za-z]+"
elif type:
s = r"\%s+" % type
elif format.get("precision"):
if format.get("width"):
s = r".{%s,%s}?" % (format["width"], format["precision"])
else:
s = r".{1,%s}?" % format["precision"]
elif format.get("width"):
s = r".{%s,}?" % format["width"]
else:
s = r".+?"
align = format["align"]
fill = format["fill"]
# handle some numeric-specific things like fill and sign
if is_numeric:
# prefix with something (align "=" trumps zero)
if align == "=":
# special case - align "=" acts like the zero above but with
# configurable fill defaulting to "0"
if not fill:
fill = "0"
s = r"%s*" % fill + s
# allow numbers to be prefixed with a sign
s = r"[-+ ]?" + s
if not fill:
fill = " "
# Place into a group now - this captures the value we want to keep.
# Everything else from now is just padding to be stripped off
if wrap:
s = wrap % s
self._group_index += 1
if format["width"]:
# all we really care about is that if the format originally
# specified a width then there will probably be padding - without
# an explicit alignment that'll mean right alignment with spaces
# padding
if not align:
align = ">"
if fill in r".\+?*[](){}^$":
fill = "\\" + fill
# align "=" has been handled
if align == "<":
s = "%s%s*" % (s, fill)
elif align == ">":
s = "%s*%s" % (fill, s)
elif align == "^":
s = "%s*%s%s*" % (fill, s, fill)
return s
class Result(object):
"""The result of a parse() or search().
Fixed results may be looked up using `result[index]`.
Slices of fixed results may also be looked up.
Named results may be looked up using `result['name']`.
Named results may be tested for existence using `'name' in result`.
"""
def __init__(self, fixed, named, spans):
self.fixed = fixed
self.named = named
self.spans = spans
def __getitem__(self, item):
if isinstance(item, (int, slice)):
return self.fixed[item]
return self.named[item]
def __repr__(self):
return "<%s %r %r>" % (self.__class__.__name__, self.fixed, self.named)
def __contains__(self, name):
return name in self.named
class Match(object):
"""The result of a parse() or search() if no results are generated.
This class is only used to expose internal used regex match objects
to the user and use them for external Parser.evaluate_result calls.
"""
def __init__(self, parser, match):
self.parser = parser
self.match = match
def evaluate_result(self):
"""Generate results for this Match"""
return self.parser.evaluate_result(self.match)
class ResultIterator(object):
"""The result of a findall() operation.
Each element is a Result instance.
"""
def __init__(self, parser, string, pos, endpos, evaluate_result=True):
self.parser = parser
self.string = string
self.pos = pos
self.endpos = endpos
self.evaluate_result = evaluate_result
def __iter__(self):
return self
def __next__(self):
m = self.parser._search_re.search(self.string, self.pos, self.endpos)
if m is None:
raise StopIteration()
self.pos = m.end()
if self.evaluate_result:
return self.parser.evaluate_result(m)
else:
return Match(self.parser, m)
# pre-py3k compat
next = __next__
def parse(format, string, extra_types=None, evaluate_result=True, case_sensitive=False):
"""Using "format" attempt to pull values from "string".
The format must match the string contents exactly. If the value
you're looking for is instead just a part of the string use
search().
If ``evaluate_result`` is True the return value will be an Result instance with two attributes:
.fixed - tuple of fixed-position values from the string
.named - dict of named values from the string
If ``evaluate_result`` is False the return value will be a Match instance with one method:
.evaluate_result() - This will return a Result instance like you would get
with ``evaluate_result`` set to True
The default behaviour is to match strings case insensitively. You may match with
case by specifying case_sensitive=True.
If the format is invalid a ValueError will be raised.
See the module documentation for the use of "extra_types".
In the case there is no match parse() will return None.
"""
p = Parser(format, extra_types=extra_types, case_sensitive=case_sensitive)
return p.parse(string, evaluate_result=evaluate_result)
def search(
format,
string,
pos=0,
endpos=None,
extra_types=None,
evaluate_result=True,
case_sensitive=False,
):
"""Search "string" for the first occurrence of "format".
The format may occur anywhere within the string. If
instead you wish for the format to exactly match the string
use parse().
Optionally start the search at "pos" character index and limit the search
to a maximum index of endpos - equivalent to search(string[:endpos]).
If ``evaluate_result`` is True the return value will be an Result instance with two attributes:
.fixed - tuple of fixed-position values from the string
.named - dict of named values from the string
If ``evaluate_result`` is False the return value will be a Match instance with one method:
.evaluate_result() - This will return a Result instance like you would get
with ``evaluate_result`` set to True
The default behaviour is to match strings case insensitively. You may match with
case by specifying case_sensitive=True.
If the format is invalid a ValueError will be raised.
See the module documentation for the use of "extra_types".
In the case there is no match parse() will return None.
"""
p = Parser(format, extra_types=extra_types, case_sensitive=case_sensitive)