145 lines
4.1 KiB
Python
145 lines
4.1 KiB
Python
# -*- encoding: utf-8 -*-
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from __future__ import division, unicode_literals
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import pkg_resources
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werkzeug = pkg_resources.get_distribution("werkzeug")
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import hashlib
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import json
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import os
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from datetime import datetime
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from jinja2 import Environment, FileSystemLoader
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from werkzeug.wrappers import Response
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from werkzeug.exceptions import BadRequest
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from isso.compat import text_type
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from isso.wsgi import Request
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try:
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import ipaddress
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except ImportError:
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import ipaddr as ipaddress
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def anonymize(remote_addr):
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"""
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Anonymize IPv4 and IPv6 :param remote_addr: to /24 (zero'd)
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and /48 (zero'd).
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"""
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if not isinstance(remote_addr, text_type) and isinstance(remote_addr, str):
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remote_addr = remote_addr.decode('ascii', 'ignore')
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try:
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ipv4 = ipaddress.IPv4Address(remote_addr)
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return u''.join(ipv4.exploded.rsplit('.', 1)[0]) + '.' + '0'
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except ipaddress.AddressValueError:
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try:
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ipv6 = ipaddress.IPv6Address(remote_addr)
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if ipv6.ipv4_mapped is not None:
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return anonymize(text_type(ipv6.ipv4_mapped))
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return u'' + ipv6.exploded.rsplit(':', 5)[0] + ':' + ':'.join(['0000'] * 5)
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except ipaddress.AddressValueError:
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return u'0.0.0.0'
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class Bloomfilter:
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"""A space-efficient probabilistic data structure. False-positive rate:
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* 1e-05 for <80 elements
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* 1e-04 for <105 elements
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* 1e-03 for <142 elements
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Uses a 256 byte array (2048 bits) and 11 hash functions. 256 byte because
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of space efficiency (array is saved for each comment) and 11 hash functions
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because of best overall false-positive rate in that range.
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>>> bf = Bloomfilter()
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>>> bf.add("127.0.0.1")
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>>> not any(map(bf.__contains__, ("1.2.%i.4" for i in range(256))))
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True
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>>> bf = Bloomfilter()
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>>> for i in range(256):
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... bf.add("1.2.%i.4" % i)
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...
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>>> len(bf)
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256
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>>> "1.2.3.4" in bf
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True
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>>> "127.0.0.1" in bf
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False
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-- via Raymond Hettinger
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http://code.activestate.com/recipes/577684-bloom-filter/
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"""
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def __init__(self, array=None, elements=0, iterable=()):
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self.array = array or bytearray(256)
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self.elements = elements
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self.k = 11
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self.m = len(self.array) * 8
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for item in iterable:
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self.add(item)
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def get_probes(self, key):
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h = int(hashlib.sha256(key.encode()).hexdigest(), 16)
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for _ in range(self.k):
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yield h & self.m - 1
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h >>= self.k
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def add(self, key):
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for i in self.get_probes(key):
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self.array[i // 8] |= 2 ** (i % 8)
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self.elements += 1
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def __contains__(self, key):
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return all(self.array[i // 8] & (2 ** (i % 8)) for i in self.get_probes(key))
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def __len__(self):
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return self.elements
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class JSONRequest(Request):
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if werkzeug.version.startswith("0.8"):
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def get_data(self, **kw):
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return self.data.decode('utf-8')
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def get_json(self):
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try:
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return json.loads(self.get_data(as_text=True))
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except ValueError:
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raise BadRequest('Unable to read JSON request')
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def render_template(template_name, **context):
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template_path = os.path.join(os.path.dirname(__file__),
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'..', 'templates')
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jinja_env = Environment(loader=FileSystemLoader(template_path),
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autoescape=True)
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def datetimeformat(value):
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return datetime.fromtimestamp(value).strftime('%H:%M / %d-%m-%Y')
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jinja_env.filters['datetimeformat'] = datetimeformat
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t = jinja_env.get_template(template_name)
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return Response(t.render(context), mimetype='text/html')
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class JSONResponse(Response):
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def __init__(self, obj, *args, **kwargs):
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kwargs["content_type"] = "application/json"
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super(JSONResponse, self).__init__(
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json.dumps(obj).encode("utf-8"), *args, **kwargs)
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class XMLResponse(Response):
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def __init__(self, obj, *args, **kwargs):
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kwargs["content_type"] = "text/xml"
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super(XMLResponse, self).__init__(
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obj, *args, **kwargs)
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