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98 lines
2.8 KiB
Python
98 lines
2.8 KiB
Python
import abc
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from . import actions, exceptions
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from netlib import strutils
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LOG_TRUNCATE = 1024
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class Message():
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__metaclass__ = abc.ABCMeta
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logattrs = []
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def __init__(self, tokens):
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track = set([])
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for i in tokens:
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if i.unique_name:
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if i.unique_name in track:
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raise exceptions.ParseException(
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"Message has multiple %s clauses, "
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"but should only have one." % i.unique_name,
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0, 0
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)
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else:
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track.add(i.unique_name)
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self.tokens = tokens
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def strike_token(self, name):
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toks = [i for i in self.tokens if i.unique_name != name]
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return self.__class__(toks)
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def toks(self, klass):
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"""
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Fetch all tokens that are instances of klass
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"""
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return [i for i in self.tokens if isinstance(i, klass)]
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def tok(self, klass):
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"""
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Fetch first token that is an instance of klass
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"""
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l = self.toks(klass)
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if l:
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return l[0]
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def length(self, settings):
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"""
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Calculate the length of the base message without any applied
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actions.
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"""
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return sum(len(x) for x in self.values(settings))
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def preview_safe(self):
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"""
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Return a copy of this message that is safe for previews.
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"""
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tokens = [i for i in self.tokens if not isinstance(i, actions.PauseAt)]
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return self.__class__(tokens)
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def maximum_length(self, settings):
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"""
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Calculate the maximum length of the base message with all applied
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actions.
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"""
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l = self.length(settings)
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for i in self.actions:
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if isinstance(i, actions.InjectAt):
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l += len(i.value.get_generator(settings))
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return l
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@classmethod
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def expr(cls): # pragma: no cover
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pass
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def log(self, settings):
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"""
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A dictionary that should be logged if this message is served.
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"""
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ret = {}
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for i in self.logattrs:
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v = getattr(self, i)
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# Careful not to log any VALUE specs without sanitizing them first.
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# We truncate at 1k.
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if hasattr(v, "values"):
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v = [x[:LOG_TRUNCATE] for x in v.values(settings)]
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v = strutils.bytes_to_escaped_str(b"".join(v))
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elif hasattr(v, "__len__"):
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v = v[:LOG_TRUNCATE]
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v = strutils.bytes_to_escaped_str(v)
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ret[i] = v
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ret["spec"] = self.spec()
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return ret
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def freeze(self, settings):
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r = self.resolve(settings)
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return self.__class__([i.freeze(settings) for i in r.tokens])
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def __repr__(self):
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return self.spec()
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