Limit readline()
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pixeebot[bot]
GitHub
parent
3ff9520114
commit
7879dd3aac
@ -1,178 +1,178 @@
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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from json import loads, dumps
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from collections import OrderedDict
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from datetime import datetime
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from traceback import print_exc
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# Taken from https://github.com/dgunter/ParseZeekLogs <3
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class ParseZeekLogs(object):
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"""
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Class that parses Zeek logs and allows log data to be output in CSV or json format.
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Attributes: filepath: Path of Zeek log file to read
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"""
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def __init__(self, filepath, batchsize=500, fields=None, output_format=None, ignore_keys=[], meta={}, safe_headers=False):
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self.fd = open(filepath, "r")
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self.options = OrderedDict()
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self.firstRun = True
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self.filtered_fields = fields
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self.batchsize = batchsize
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self.output_format = output_format
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self.ignore_keys = ignore_keys
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self.meta = meta
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self.safe_headers = safe_headers
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# Convert ' to " in meta string
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meta = loads(dumps(meta).replace("'", '"'))
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# Read the header option lines
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l = self.fd.readline().strip()
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while l.strip().startswith("#"):
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# Parse the options out
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if l.startswith("#separator"):
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key = str(l[1:].split(" ")[0])
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value = str.encode(l[1:].split(
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" ")[1].strip()).decode('unicode_escape')
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self.options[key] = value
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elif l.startswith("#"):
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key = str(l[1:].split(self.options.get('separator'))[0])
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value = l[1:].split(self.options.get('separator'))[1:]
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self.options[key] = value
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# Read the next line
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l = self.fd.readline().strip()
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self.firstLine = l
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# Save mapping of fields to values:
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self.fields = self.options.get('fields')
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self.types = self.options.get('types')
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self.data_types = {}
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for i, val in enumerate(self.fields):
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# Convert field names if safe_headers is enabled
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if self.safe_headers is True:
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self.fields[i] = self.fields[i].replace(".", "_")
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# Match types with each other
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self.data_types[self.fields[i]] = self.types[i]
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def __del__(self):
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self.fd.close()
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def __iter__(self):
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return self
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def __next__(self):
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retVal = ""
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if self.firstRun is True:
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retVal = self.firstLine
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self.firstRun = False
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else:
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retVal = self.fd.readline().strip()
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# If an empty string is returned, readline is done reading
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if retVal == "" or retVal is None:
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raise StopIteration
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# Split out the data we are going to return
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retVal = retVal.split(self.options.get('separator'))
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record = None
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# Make sure we aren't dealing with a comment line
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if len(retVal) > 0 and not str(retVal[0]).strip().startswith("#") \
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and len(retVal) is len(self.options.get("fields")):
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record = OrderedDict()
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# Prepare fields for conversion
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for x in range(0, len(retVal)):
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if self.safe_headers is True:
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converted_field_name = self.options.get(
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"fields")[x].replace(".", "_")
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else:
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converted_field_name = self.options.get("fields")[x]
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if self.filtered_fields is None or converted_field_name in self.filtered_fields:
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# Translate - to "" to fix a conversation error
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if retVal[x] == "-":
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retVal[x] = ""
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# Save the record field if the field isn't filtered out
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record[converted_field_name] = retVal[x]
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# Convert values to the appropriate record type
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record = self.convert_values(
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record, self.ignore_keys, self.data_types)
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if record is not None and self.output_format == "json":
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# Output will be json
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# Add metadata to json
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for k, v in self.meta.items():
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record[k] = v
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retVal = record
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elif record is not None and self.output_format == "csv":
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retVal = ""
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# Add escaping to csv format
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for k, v in record.items():
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# Add escaping to string values
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if isinstance(v, str):
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retVal += str("\"" + str(v).strip() + "\"" + ",")
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else:
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retVal += str(str(v).strip() + ",")
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# Remove the trailing comma
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retVal = retVal[:-1]
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else:
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retVal = None
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return retVal
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def convert_values(self, data, ignore_keys=[], data_types={}):
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keys_to_delete = []
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for k, v in data.items():
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# print("evaluating k: " + str(k) + " v: " + str(v))
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if isinstance(v, dict):
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data[k] = self.convert_values(v)
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else:
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if data_types.get(k) is not None:
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if (data_types.get(k) == "port" or data_types.get(k) == "count"):
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if v != "":
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data[k] = int(v)
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else:
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keys_to_delete.append(k)
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elif (data_types.get(k) == "double" or data_types.get(k) == "interval"):
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if v != "":
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data[k] = float(v)
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else:
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keys_to_delete.append(k)
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elif data_types.get(k) == "bool":
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data[k] = bool(v)
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else:
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data[k] = v
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for k in keys_to_delete:
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del data[k]
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return data
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def get_fields(self):
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"""Returns all fields present in the log file
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Returns:
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A python list containing all field names in the log file
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"""
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field_names = ""
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if self.output_format == "csv":
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for i, v in enumerate(self.fields):
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if self.filtered_fields is None or v in self.filtered_fields:
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field_names += str(v) + ","
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# Remove the trailing comma
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field_names = field_names[:-1].strip()
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else:
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field_names = []
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for i, v in enumerate(self.fields):
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if self.filtered_fields is None or v in self.filtered_fields:
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field_names.append(v)
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return field_names
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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from json import loads, dumps
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from collections import OrderedDict
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from datetime import datetime
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from traceback import print_exc
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# Taken from https://github.com/dgunter/ParseZeekLogs <3
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class ParseZeekLogs(object):
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"""
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Class that parses Zeek logs and allows log data to be output in CSV or json format.
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Attributes: filepath: Path of Zeek log file to read
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"""
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def __init__(self, filepath, batchsize=500, fields=None, output_format=None, ignore_keys=[], meta={}, safe_headers=False):
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self.fd = open(filepath, "r")
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self.options = OrderedDict()
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self.firstRun = True
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self.filtered_fields = fields
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self.batchsize = batchsize
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self.output_format = output_format
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self.ignore_keys = ignore_keys
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self.meta = meta
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self.safe_headers = safe_headers
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# Convert ' to " in meta string
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meta = loads(dumps(meta).replace("'", '"'))
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# Read the header option lines
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l = self.fd.readline(5_000_000).strip()
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while l.strip().startswith("#"):
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# Parse the options out
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if l.startswith("#separator"):
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key = str(l[1:].split(" ")[0])
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value = str.encode(l[1:].split(
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" ")[1].strip()).decode('unicode_escape')
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self.options[key] = value
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elif l.startswith("#"):
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key = str(l[1:].split(self.options.get('separator'))[0])
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value = l[1:].split(self.options.get('separator'))[1:]
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self.options[key] = value
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# Read the next line
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l = self.fd.readline(5_000_000).strip()
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self.firstLine = l
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# Save mapping of fields to values:
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self.fields = self.options.get('fields')
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self.types = self.options.get('types')
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self.data_types = {}
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for i, val in enumerate(self.fields):
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# Convert field names if safe_headers is enabled
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if self.safe_headers is True:
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self.fields[i] = self.fields[i].replace(".", "_")
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# Match types with each other
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self.data_types[self.fields[i]] = self.types[i]
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def __del__(self):
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self.fd.close()
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def __iter__(self):
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return self
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def __next__(self):
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retVal = ""
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if self.firstRun is True:
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retVal = self.firstLine
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self.firstRun = False
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else:
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retVal = self.fd.readline().strip()
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# If an empty string is returned, readline is done reading
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if retVal == "" or retVal is None:
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raise StopIteration
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# Split out the data we are going to return
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retVal = retVal.split(self.options.get('separator'))
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record = None
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# Make sure we aren't dealing with a comment line
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if len(retVal) > 0 and not str(retVal[0]).strip().startswith("#") \
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and len(retVal) is len(self.options.get("fields")):
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record = OrderedDict()
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# Prepare fields for conversion
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for x in range(0, len(retVal)):
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if self.safe_headers is True:
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converted_field_name = self.options.get(
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"fields")[x].replace(".", "_")
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else:
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converted_field_name = self.options.get("fields")[x]
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if self.filtered_fields is None or converted_field_name in self.filtered_fields:
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# Translate - to "" to fix a conversation error
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if retVal[x] == "-":
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retVal[x] = ""
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# Save the record field if the field isn't filtered out
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record[converted_field_name] = retVal[x]
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# Convert values to the appropriate record type
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record = self.convert_values(
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record, self.ignore_keys, self.data_types)
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if record is not None and self.output_format == "json":
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# Output will be json
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# Add metadata to json
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for k, v in self.meta.items():
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record[k] = v
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retVal = record
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elif record is not None and self.output_format == "csv":
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retVal = ""
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# Add escaping to csv format
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for k, v in record.items():
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# Add escaping to string values
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if isinstance(v, str):
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retVal += str("\"" + str(v).strip() + "\"" + ",")
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else:
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retVal += str(str(v).strip() + ",")
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# Remove the trailing comma
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retVal = retVal[:-1]
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else:
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retVal = None
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return retVal
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def convert_values(self, data, ignore_keys=[], data_types={}):
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keys_to_delete = []
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for k, v in data.items():
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# print("evaluating k: " + str(k) + " v: " + str(v))
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if isinstance(v, dict):
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data[k] = self.convert_values(v)
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else:
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if data_types.get(k) is not None:
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if (data_types.get(k) == "port" or data_types.get(k) == "count"):
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if v != "":
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data[k] = int(v)
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else:
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keys_to_delete.append(k)
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elif (data_types.get(k) == "double" or data_types.get(k) == "interval"):
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if v != "":
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data[k] = float(v)
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else:
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keys_to_delete.append(k)
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elif data_types.get(k) == "bool":
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data[k] = bool(v)
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else:
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data[k] = v
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for k in keys_to_delete:
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del data[k]
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return data
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def get_fields(self):
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"""Returns all fields present in the log file
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Returns:
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A python list containing all field names in the log file
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"""
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field_names = ""
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if self.output_format == "csv":
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for i, v in enumerate(self.fields):
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if self.filtered_fields is None or v in self.filtered_fields:
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field_names += str(v) + ","
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# Remove the trailing comma
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field_names = field_names[:-1].strip()
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else:
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field_names = []
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for i, v in enumerate(self.fields):
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if self.filtered_fields is None or v in self.filtered_fields:
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field_names.append(v)
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return field_names
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