329 lines
11 KiB
Python
329 lines
11 KiB
Python
"""Utility functions and classes for the STIX2 library."""
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import datetime as dt
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import enum
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import json
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import re
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import pytz
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import six
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import stix2
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# Sentinel value for properties that should be set to the current time.
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# We can't use the standard 'default' approach, since if there are multiple
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# timestamps in a single object, the timestamps will vary by a few microseconds.
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NOW = object()
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PREFIX_21_REGEX = re.compile(r'^[a-z].*')
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_TIMESTAMP_FORMAT = "%Y-%m-%dT%H:%M:%SZ"
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_TIMESTAMP_FORMAT_FRAC = "%Y-%m-%dT%H:%M:%S.%fZ"
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class Precision(enum.Enum):
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"""
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Timestamp format precisions.
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"""
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# auto() wasn't introduced until Python 3.6.
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ANY = 1
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SECOND = 2
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MILLISECOND = 3
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class PrecisionConstraint(enum.Enum):
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"""
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Timestamp precision constraints. These affect how the Precision
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values are applied when formatting a timestamp.
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These constraints don't really make sense with the ANY precision, so they
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have no effect in that case.
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"""
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EXACT = 1 # format must have exactly the given precision
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MIN = 2 # format must have at least the given precision
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# no need for a MAX constraint yet
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def _to_enum(value, enum_type, enum_default=None):
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"""
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Detect and convert strings to enums and None to a default enum. This
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allows use of strings and None in APIs, while enforcing the enum type: if
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you use a string, it must name a valid enum value. This implementation is
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case-insensitive.
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:param value: A value to be interpreted as an enum (string, Enum instance,
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or None). If an Enum instance, it must be an instance of enum_type.
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:param enum_type: The enum type which strings will be interpreted against
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:param enum_default: The default enum to use if value is None. Must be
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an instance of enum_type, or None. If None, you are disallowing a
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default and requiring that value be non-None.
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:return: An instance of enum_type
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:raises TypeError: If value was neither an instance of enum_type, None, nor
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a string
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:raises KeyError: If value was a string which couldn't be interpreted as an
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enum value from enum_type
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"""
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assert enum_default is None or isinstance(enum_default, enum_type)
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if not isinstance(value, enum_type):
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if value is None and enum_default is not None:
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value = enum_default
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elif isinstance(value, six.string_types):
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value = enum_type[value.upper()]
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else:
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raise TypeError("Not a valid {}: {}".format(
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enum_type.__name__, value,
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))
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return value
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class STIXdatetime(dt.datetime):
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"""
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Bundle a datetime with some format-related metadata, so that JSON
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serialization has the info it needs to produce compliant timestamps.
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"""
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def __new__(cls, *args, **kwargs):
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precision = _to_enum(
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kwargs.pop("precision", Precision.ANY),
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Precision,
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)
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precision_constraint = _to_enum(
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kwargs.pop("precision_constraint", PrecisionConstraint.EXACT),
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PrecisionConstraint,
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)
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if isinstance(args[0], dt.datetime): # Allow passing in a datetime object
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dttm = args[0]
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args = (
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dttm.year, dttm.month, dttm.day, dttm.hour, dttm.minute,
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dttm.second, dttm.microsecond, dttm.tzinfo,
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)
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# self will be an instance of STIXdatetime, not dt.datetime
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self = dt.datetime.__new__(cls, *args, **kwargs)
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self.precision = precision
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self.precision_constraint = precision_constraint
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return self
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def __repr__(self):
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return "'%s'" % format_datetime(self)
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def deduplicate(stix_obj_list):
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"""Deduplicate a list of STIX objects to a unique set.
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Reduces a set of STIX objects to unique set by looking
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at 'id' and 'modified' fields - as a unique object version
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is determined by the combination of those fields
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Note: Be aware, as can be seen in the implementation
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of deduplicate(),that if the "stix_obj_list" argument has
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multiple STIX objects of the same version, the last object
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version found in the list will be the one that is returned.
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Args:
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stix_obj_list (list): list of STIX objects (dicts)
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Returns:
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A list with a unique set of the passed list of STIX objects.
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"""
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unique_objs = {}
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for obj in stix_obj_list:
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ver = obj.get("modified") or obj.get("created")
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if ver is None:
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unique_objs[obj["id"]] = obj
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else:
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unique_objs[(obj['id'], ver)] = obj
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return list(unique_objs.values())
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def get_timestamp():
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"""Return a STIX timestamp of the current date and time."""
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return STIXdatetime.now(tz=pytz.UTC)
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def format_datetime(dttm):
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"""Convert a datetime object into a valid STIX timestamp string.
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1. Convert to timezone-aware
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2. Convert to UTC
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3. Format in ISO format
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4. Ensure correct precision
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a. Add subsecond value if warranted, according to precision settings
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5. Add "Z"
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"""
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if dttm.tzinfo is None or dttm.tzinfo.utcoffset(dttm) is None:
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# dttm is timezone-naive; assume UTC
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zoned = pytz.utc.localize(dttm)
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else:
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zoned = dttm.astimezone(pytz.utc)
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ts = zoned.strftime('%Y-%m-%dT%H:%M:%S')
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precision = getattr(dttm, 'precision', Precision.ANY)
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precision_constraint = getattr(
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dttm, 'precision_constraint', PrecisionConstraint.EXACT,
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)
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frac_seconds_str = ""
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if precision == Precision.ANY:
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# No need to truncate; ignore constraint
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if zoned.microsecond:
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frac_seconds_str = "{:06d}".format(zoned.microsecond).rstrip("0")
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elif precision == Precision.SECOND:
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if precision_constraint == PrecisionConstraint.MIN:
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# second precision, or better. Winds up being the same as ANY:
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# just use all our digits
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if zoned.microsecond:
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frac_seconds_str = "{:06d}".format(zoned.microsecond)\
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.rstrip("0")
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# exact: ignore microseconds entirely
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else:
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# precision == millisecond
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if precision_constraint == PrecisionConstraint.EXACT:
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# can't rstrip() here or we may lose precision
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frac_seconds_str = "{:06d}".format(zoned.microsecond)[:3]
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else:
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# millisecond precision, or better. So we can rstrip() zeros, but
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# only to a length of at least 3 digits (ljust() adds zeros back,
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# if it stripped too far.)
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frac_seconds_str = "{:06d}"\
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.format(zoned.microsecond)\
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.rstrip("0")\
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.ljust(3, "0")
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ts = "{}{}{}Z".format(
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ts,
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"." if frac_seconds_str else "",
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frac_seconds_str,
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)
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return ts
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def parse_into_datetime(
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value, precision=Precision.ANY,
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precision_constraint=PrecisionConstraint.EXACT,
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):
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"""
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Parse a value into a valid STIX timestamp object. Also, optionally adjust
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precision of fractional seconds. This allows alignment with JSON
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serialization requirements, and helps ensure we're not using extra
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precision which would be lost upon JSON serialization. The precision
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info will be embedded in the returned object, so that JSON serialization
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will format it correctly.
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:param value: A datetime.datetime or datetime.date instance, or a string
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:param precision: A precision value: either an instance of the Precision
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enum, or a string naming one of the enum values (case-insensitive)
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:param precision_constraint: A precision constraint value: either an
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instance of the PrecisionConstraint enum, or a string naming one of
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the enum values (case-insensitive)
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:return: A STIXdatetime instance, which is a datetime but also carries the
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precision info necessary to properly JSON-serialize it.
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"""
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precision = _to_enum(precision, Precision)
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precision_constraint = _to_enum(precision_constraint, PrecisionConstraint)
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if isinstance(value, dt.date):
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if hasattr(value, 'hour'):
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ts = value
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else:
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# Add a time component
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ts = dt.datetime.combine(value, dt.time(0, 0, tzinfo=pytz.utc))
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else:
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# value isn't a date or datetime object so assume it's a string
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fmt = _TIMESTAMP_FORMAT_FRAC if "." in value else _TIMESTAMP_FORMAT
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try:
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parsed = dt.datetime.strptime(value, fmt)
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except (TypeError, ValueError):
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# Unknown format
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raise ValueError(
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"must be a datetime object, date object, or "
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"timestamp string in a recognizable format.",
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)
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if parsed.tzinfo:
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ts = parsed.astimezone(pytz.utc)
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else:
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# Doesn't have timezone info in the string; assume UTC
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ts = pytz.utc.localize(parsed)
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# Ensure correct precision
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if precision == Precision.SECOND:
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if precision_constraint == PrecisionConstraint.EXACT:
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ts = ts.replace(microsecond=0)
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# else, no need to modify fractional seconds
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elif precision == Precision.MILLISECOND:
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if precision_constraint == PrecisionConstraint.EXACT:
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us = (ts.microsecond // 1000) * 1000
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ts = ts.replace(microsecond=us)
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# else: at least millisecond precision: the constraint will affect JSON
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# formatting, but there's nothing we need to do here.
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# else, precision == Precision.ANY: nothing for us to do.
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return STIXdatetime(
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ts, precision=precision, precision_constraint=precision_constraint,
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)
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def _get_dict(data):
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"""Return data as a dictionary.
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Input can be a dictionary, string, or file-like object.
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"""
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if type(data) is dict:
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return data
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else:
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try:
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return json.loads(data)
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except TypeError:
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pass
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try:
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return json.load(data)
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except AttributeError:
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pass
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try:
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return dict(data)
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except (ValueError, TypeError):
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raise ValueError("Cannot convert '%s' to dictionary." % str(data))
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def get_class_hierarchy_names(obj):
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"""Given an object, return the names of the class hierarchy."""
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names = []
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for cls in obj.__class__.__mro__:
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names.append(cls.__name__)
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return names
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def get_type_from_id(stix_id):
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return stix_id.split('--', 1)[0]
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def is_marking(obj_or_id):
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"""Determines whether the given object or object ID is/is for a marking
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definition.
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:param obj_or_id: A STIX object or object ID as a string.
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:return: True if a marking definition, False otherwise.
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"""
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if isinstance(obj_or_id, (stix2.base._STIXBase, dict)):
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result = obj_or_id["type"] == "marking-definition"
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else:
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# it's a string ID
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result = obj_or_id.startswith("marking-definition--")
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return result
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