# Path: moira/graphite/attime.py
# def parseTimeOffset(offset):
#     if not offset:
#         return timedelta()
# 
#     t = timedelta()
# 
#     if offset[0].isdigit():
#         sign = 1
#     else:
#         sign = {'+': 1, '-': -1}[offset[0]]
#         offset = offset[1:]
# 
#     while offset:
#         i = 1
#         while offset[:i].isdigit() and i <= len(offset):
#             i += 1
#         num = int(offset[:i - 1])
#         offset = offset[i - 1:]
#         i = 1
#         while offset[:i].isalpha() and i <= len(offset):
#             i += 1
#         unit = offset[:i - 1]
#         offset = offset[i - 1:]
#         unitString = getUnitString(unit)
#         if unitString == 'months':
#             unitString = 'days'
#             num = num * 30
#         if unitString == 'years':
#             unitString = 'days'
#             num = num * 365
#         t += timedelta(**{unitString: sign * num})
# 
#     return t
# 
# def parseATTime(s, tzinfo=None):
#     if tzinfo is None:
#         tzinfo = pytz.utc
#     s = s.strip().lower().replace('_', '').replace(',', '').replace(' ', '')
#     if s.isdigit():
#         if len(s) == 8 and int(s[:4]) > 1900 and int(
#                 s[4:6]) < 13 and int(s[6:]) < 32:
#             pass  # Fall back because its not a timestamp, its YYYYMMDD form
#         else:
#             return datetime.fromtimestamp(int(s), tzinfo)
#     elif ':' in s and len(s) == 13:
#         return tzinfo.localize(datetime.strptime(s, '%H:%M%Y%m%d'), daylight)
#     if '+' in s:
#         ref, offset = s.split('+', 1)
#         offset = '+' + offset
#     elif '-' in s:
#         ref, offset = s.split('-', 1)
#         offset = '-' + offset
#     else:
#         ref, offset = s, ''
#     return (
#         parseTimeReference(ref) +
#         parseTimeOffset(offset)).astimezone(tzinfo)
# 
# Path: moira/graphite/datalib.py
# class TimeSeries(list):
# 
#     def __init__(self, name, start, end, step, values, consolidate='average'):
#         list.__init__(self, values)
#         self.name = name
#         self.start = start
#         self.end = end
#         self.step = step
#         self.consolidationFunc = consolidate
#         self.valuesPerPoint = 1
#         self.options = {}
#         self.stub = False
# 
#     def __iter__(self):
#         if self.valuesPerPoint > 1:
#             return self.__consolidatingGenerator(list.__iter__(self))
#         else:
#             return list.__iter__(self)
# 
#     def consolidate(self, valuesPerPoint):
#         self.valuesPerPoint = int(valuesPerPoint)
# 
#     def __consolidatingGenerator(self, gen):
#         buf = []
#         for x in gen:
#             buf.append(x)
#             if len(buf) == self.valuesPerPoint:
#                 while None in buf:
#                     buf.remove(None)
#                 if buf:
#                     yield self.__consolidate(buf)
#                     buf = []
#                 else:
#                     yield None
#         while None in buf:
#             buf.remove(None)
#         if buf:
#             yield self.__consolidate(buf)
#         else:
#             yield None
#         raise StopIteration
# 
#     def __consolidate(self, values):
#         usable = [v for v in values if v is not None]
#         if not usable:
#             return None
#         if self.consolidationFunc == 'sum':
#             return sum(usable)
#         if self.consolidationFunc == 'average':
#             return float(sum(usable)) / len(usable)
#         if self.consolidationFunc == 'max':
#             return max(usable)
#         if self.consolidationFunc == 'min':
#             return min(usable)
#         raise Exception("Invalid consolidation function!")
# 
#     def __repr__(self):
#         return 'TimeSeries(name=%s, start=%s, end=%s, step=%s)' % (
#             self.name, self.start, self.end, self.step)
# 
#     def getInfo(self):
#         """Pickle-friendly representation of the series"""
#         return {
#             'name': self.name,
#             'start': self.start,
#             'end': self.end,
#             'step': self.step,
#             'values': list(self),
#         }


import math
import random
import re
import time
from datetime import datetime, timedelta
from itertools import izip, imap
from moira.graphite.attime import parseTimeOffset, parseATTime
from moira.graphite.util import epoch
from moira.graphite.datalib import TimeSeries
from twisted.internet import defer
from twisted.internet.defer import inlineCallbacks, returnValue
from functools import reduce
from moira.graphite.evaluator import evaluateTarget
    Takes a metric or a wildcard seriesList, followed by a regular expression
    in double quotes.  Excludes metrics that don't match the regular expression.

    Example:

    .. code-block:: none

      &target=grep(servers*.instance*.threads.busy,"server02")
    """
    yield defer.succeed(None)
    regex = re.compile(pattern)
    returnValue([s for s in seriesList if regex.search(s.name)])


@inlineCallbacks
def smartSummarize(
        requestContext,
        seriesList,
        intervalString,
        func='sum',
        alignToFrom=False):
    """
    Smarter experimental version of summarize.

    The alignToFrom parameter has been deprecated, it no longer has any effect.
    Alignment happens automatically for days, hours, and minutes.
    """

    yield defer.succeed(None)
    results = []

# Path: moira/graphite/attime.py
# def parseTimeOffset(offset):
#     if not offset:
#         return timedelta()
# 
#     t = timedelta()
# 
#     if offset[0].isdigit():
#         sign = 1
#     else:
#         sign = {'+': 1, '-': -1}[offset[0]]
#         offset = offset[1:]
# 
#     while offset:
#         i = 1
#         while offset[:i].isdigit() and i <= len(offset):
#             i += 1
#         num = int(offset[:i - 1])
#         offset = offset[i - 1:]
#         i = 1
#         while offset[:i].isalpha() and i <= len(offset):
#             i += 1
#         unit = offset[:i - 1]
#         offset = offset[i - 1:]
#         unitString = getUnitString(unit)
#         if unitString == 'months':
#             unitString = 'days'
#             num = num * 30
#         if unitString == 'years':
#             unitString = 'days'
#             num = num * 365
#         t += timedelta(**{unitString: sign * num})
# 
#     return t
# 
# def parseATTime(s, tzinfo=None):
#     if tzinfo is None:
#         tzinfo = pytz.utc
#     s = s.strip().lower().replace('_', '').replace(',', '').replace(' ', '')
#     if s.isdigit():
#         if len(s) == 8 and int(s[:4]) > 1900 and int(
#                 s[4:6]) < 13 and int(s[6:]) < 32:
#             pass  # Fall back because its not a timestamp, its YYYYMMDD form
#         else:
#             return datetime.fromtimestamp(int(s), tzinfo)
#     elif ':' in s and len(s) == 13:
#         return tzinfo.localize(datetime.strptime(s, '%H:%M%Y%m%d'), daylight)
#     if '+' in s:
#         ref, offset = s.split('+', 1)
#         offset = '+' + offset
#     elif '-' in s:
#         ref, offset = s.split('-', 1)
#         offset = '-' + offset
#     else:
#         ref, offset = s, ''
#     return (
#         parseTimeReference(ref) +
#         parseTimeOffset(offset)).astimezone(tzinfo)
# 
# Path: moira/graphite/datalib.py
# class TimeSeries(list):
# 
#     def __init__(self, name, start, end, step, values, consolidate='average'):
#         list.__init__(self, values)
#         self.name = name
#         self.start = start
#         self.end = end
#         self.step = step
#         self.consolidationFunc = consolidate
#         self.valuesPerPoint = 1
#         self.options = {}
#         self.stub = False
# 
#     def __iter__(self):
#         if self.valuesPerPoint > 1:
#             return self.__consolidatingGenerator(list.__iter__(self))
#         else:
#             return list.__iter__(self)
# 
#     def consolidate(self, valuesPerPoint):
#         self.valuesPerPoint = int(valuesPerPoint)
# 
#     def __consolidatingGenerator(self, gen):
#         buf = []
#         for x in gen:
#             buf.append(x)
#             if len(buf) == self.valuesPerPoint:
#                 while None in buf:
#                     buf.remove(None)
#                 if buf:
#                     yield self.__consolidate(buf)
#                     buf = []
#                 else:
#                     yield None
#         while None in buf:
#             buf.remove(None)
#         if buf:
#             yield self.__consolidate(buf)
#         else:
#             yield None
#         raise StopIteration
# 
#     def __consolidate(self, values):
#         usable = [v for v in values if v is not None]
#         if not usable:
#             return None
#         if self.consolidationFunc == 'sum':
#             return sum(usable)
#         if self.consolidationFunc == 'average':
#             return float(sum(usable)) / len(usable)
#         if self.consolidationFunc == 'max':
#             return max(usable)
#         if self.consolidationFunc == 'min':
#             return min(usable)
#         raise Exception("Invalid consolidation function!")
# 
#     def __repr__(self):
#         return 'TimeSeries(name=%s, start=%s, end=%s, step=%s)' % (
#             self.name, self.start, self.end, self.step)
# 
#     def getInfo(self):
#         """Pickle-friendly representation of the series"""
#         return {
#             'name': self.name,
#             'start': self.start,
#             'end': self.end,
#             'step': self.step,
#             'values': list(self),
#         }


# Path: moira/graphite/functions.py
import math
import random
import re
import time
from datetime import datetime, timedelta
from itertools import izip, imap
from moira.graphite.attime import parseTimeOffset, parseATTime
from moira.graphite.util import epoch
from moira.graphite.datalib import TimeSeries
from twisted.internet import defer
from twisted.internet.defer import inlineCallbacks, returnValue
from functools import reduce
from moira.graphite.evaluator import evaluateTarget

    Takes a metric or a wildcard seriesList, followed by a regular expression
    in double quotes.  Excludes metrics that don't match the regular expression.

    Example:

    .. code-block:: none

      &target=grep(servers*.instance*.threads.busy,"server02")
    """
    yield defer.succeed(None)
    regex = re.compile(pattern)
    returnValue([s for s in seriesList if regex.search(s.name)])


@inlineCallbacks
def smartSummarize(
        requestContext,
        seriesList,
        intervalString,
        func='sum',
        alignToFrom=False):
    """
    Smarter experimental version of summarize.

    The alignToFrom parameter has been deprecated, it no longer has any effect.
    Alignment happens automatically for days, hours, and minutes.
    """

    yield defer.succeed(None)
    results = []

    delta = parseTimeOffset(intervalString)