在python中读取和解释混合的二进制和文本文件

Question

How can I read a file that consists of a line (string of 10 csv) of numbers and text and then after this line, there are 4096 bytes?

Something like this:

  117,47966,55,115,223,224,94,0,28,OK: 
  \00\00\00\F6\FF\EF\FFF\00\FA\FF\00\CA\FF\009\00Z\00\D9\FFF\00\E3\FF?\00\F0\FF\00\B1\FF\9D\FF\00:\00b\00\E9\FF*\00:\00\00)\00\D3\FF,\00\C6\FF\D6\FF2\00\00!\00\00\00\FE\FF\BA\FF[\00\E8\FF.\00\F7\FF\F9\FF\E6\FF\00\D3\FF\F8\FF\00&\00\

In the past, I've been using ConstBitStream to read pure binary files. I was wondering how can I read line by line and every time I find 'OK:', use ConstBitStream to read the following 4096 bytes?

with open(filename, encoding="latin-1") as f:
        lines = f.readlines()
        for i in range(1,len(lines)):
            elements = lines[i].strip().split(',')
            if(len(elements)==10):
                readNext4096bytes()

Answer 1

Let me know if this works:

import pandas as pd
from bitstring import ConstBitStream

# Read csv using pandas
df = pd.read_csv(filename, error_bad_lines=False, encoding='latin1')

# Take the last column (10) and cast every value to ConstBitStream
df.iloc[:, 9].apply(ConstBitStream)

Answer 2

Say your file is like this

1,2,3,OK:
    4096 bytes
    5,6,7,OK:
    4096 bytes
    ...

1. read the file in binary mode: file = open(file_name, 'rb').read()
2. split: data = file.split(b',OK:\\n')
data is a list: [b'1,2,3', b'4096bytes\\n4,5,6', b'4096bytes\\n7,8,9', ..., b'4096bytes']
3. for a typical element it is bitarray, record = element[:4096], element[4096+1:]
   you have of course to special-case the first and the last element...

---

PS if your file consists of ONE record and ONE bitarray, then data is simply
[b'1,2,3', b'4096bytes']

PPS if your binary string contains b',OK:\\n' the method above fails but — The possible combinations of 5 bytes are 256**5 , the number of 5 bytes sequences in 4096 bytes is 4096+1-5 , hence the probability of this unfortunate possibility is 4092/256**5 → 3.7216523196548223e-09 * in a single binary record * — if you have a few record its probably OK, if you have a few millions records, well you need a lot of memory but the probability of an error is no more negligible.