using dictionary in python for parsing trace files

using dictionary in python for parsing trace files

By : Jeffery Alexander Va
Date : November 21 2020, 03:00 PM
it fixes the issue One problem I see in your code is that line_dic should be initialized for every line (I moved line_dic = {} inside the for loop). Without that, you will overwrite dictionaries of previous lines.
code :
dics = []
count = 0

with codecs.open("trace.tr", "r", "UTF8") as inputFile:
for line in inputFile:
    item = line.split(" ");

    line_dic = {}

    line_dic['event'] = item[0]
    line_dic['time'] = item[1]
    line_dic['from_node'] = item[2]
    line_dic['to_node'] = item[3]
    line_dic['pkt_type'] = item[4]
    line_dic['pkt_size'] = item[5]
    line_dic['flags'] = item[6]
    line_dic['fid'] = item[7]
    line_dic['srcadd'] = item[8]
    line_dic['dstadd'] = item[9]
    line_dic['seqnum'] = item[10]
    line_dic['pkti'] = item[11]

print dics

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trace python: only include some files

trace python: only include some files

By : IT Oai
Date : March 29 2020, 07:55 AM
Hope that helps I know that I can use this to trace the command execution: , My solution is based on the answer of Brian Cain:
code :
python -m trace --ignore-dir=$HOME/lib64:$HOME/lib:/usr -t script.py
Dictionary Parsing in Python

Dictionary Parsing in Python

By : user2646483
Date : March 29 2020, 07:55 AM
may help you . You can get keys of dict by using keys(). The value of x["information"] is a dictionary. So you can get keys this way:
code :
print x["information"].keys()
Dictionary parsing python

Dictionary parsing python

By : Brano Pilnan
Date : March 29 2020, 07:55 AM
this will help The DictReader instance is an iterator that already contains the dictionaries that you seek. You would not need to modify the reader, just turn it into a list:
code :
import csv

reader = csv.DictReader(open('abc.csv'))
result = list(reader)
Python Optimization: Parsing a text file to store default values and create key-pair dictionary in python

Python Optimization: Parsing a text file to store default values and create key-pair dictionary in python

By : user2340456
Date : March 29 2020, 07:55 AM
This might help you Is it mandatory to store the key-value pairs in a text file?
If yes, what you have already done might be a way to do it.
Parsing Dictionary in python

Parsing Dictionary in python

By : Harry Chan
Date : March 29 2020, 07:55 AM
around this issue No, there is no in-built parser, nor do you need a parser. You need to build a syntax tree, which is not that hard:
code :
from dataclasses import dataclass, field, fields
from typing import List

class Node:
    seq: int
    type: int

    def tree_from_xml(cls, node):
        name = node.tag
        for cls in cls.__subclasses__():
            if cls.__name__.upper() == name:
                return cls.node_from_xml(node)

    def node_from_xml(cls, node, **kwargs):
        fieldargs = {f.name: node.attrib.get(f.name.upper()) for f in fields(cls)}
        fieldargs['seq'] = int(fieldargs['seq'])
        fieldargs['type'] = int(fieldargs['type'])
        return cls(**fieldargs)

class BoolOp(Node):
    boolop: str
    operands: List[Node] = field(default_factory=list)

    def __str__(self):
        joined = f' {self.boolop} '.join(map(str, self.operands))
        return f'({joined})'

    def node_from_xml(cls, node):
        operands = (Node.tree_from_xml(child) for child in node)
        return super().node_from_xml(node, operands=[op for op in operands if op])

class Fragment(Node):
    func1: str
    func2: str
    nullaction: str
    op: str
    prop1: str
    prop2: str

    def __str__(self):
        return f'{self.func1}({self.prop1}) {self.op} {self.func2}({self.prop2})'
rule = Node.tree_from_xml(tree.find('.//BOOLOP'))
>>> rule = Node.tree_from_xml(tree.find('.//BOOLOP'))
>>> print(rule)
((value(DEFAULT_SKU1) = propval(_sku) or value(DEFAULT_SKU2) = propval(_sku) or value(DEFAULT_SKU3) = propval(_sku)) and propval(_amEntitled) = literal(1) and (value(IsShipingSelected) != literal(yes) and value(IsShipingSelected) != literal(no)))
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