gistfile1.txt

#!/usr/bin/env python3

# python3 -m pip install pandas, lxml, html5lib 
import sys
import pandas as pd
import requests

ATR_URL = 'https://www.eftlab.co.uk/knowledge-base/171-atr-list-full/'

def print_atr(df):
    for i in df.index:

        a = df['atr'][i];
        a = a.replace(' ','')
        b = df['desc'][i];
        b = b.replace(' ','')
        print(a)
        #print(f' {{ " {a} ", " {b} " }},')



def main():
    r = requests.get(ATR_URL)
    r.status_code
    list_atr = pd.read_html(r.text, header=0)
    df = list_atr[0]
    df.columns = ['atr', 'desc']
    df = df.astype('string')

    print(
    """#ifndef ATRS_H__
    
    #define ATRS_H__
    
    typedef struct atr_s {
        const char *bytes;
        const char *desc;
    } atr_t;
    
    // atr_t array are expected to be NULL terminated
    static atr_t AtrTable[] = {""")

    print_atr(df)

    print("""    {NULL, NULL}
    };
    #endif""")

if __name__ == "__main__":
    main()

#!/usr/bin/env python3

# python3 -m pip install pandas lxml html5lib
import sys
import pandas as pd
import requests

ATR_URL = 'https://www.eftlab.co.uk/knowledge-base/171-atr-list-full/'

r = requests.get(ATR_URL)
r.status_code
list_atr = pd.read_html(r.text, header=0)
df = list_atr[0]
df.columns = ['atr', 'desc']
df = df.astype('string')

print(
"""
#ifndef ATRS_H__
#define ATRS_H__

typedef struct atr_s {
    const char *bytes;
    const char *desc;
} atr_t;

// atr_t array are expected to be NULL terminated
static atr_t AtrTable[] = {
""")

for i in df.index:
    a = df['atr'][i]
    b = df['desc'][i]
    if type(a) is not str or type(b) is not str:
        continue
    a = a.replace(' ','')
    print(f'    {{ "{a}", "{b}" }},')

print(
"""    {NULL, NULL}
};
#endif
""")

aaaaa, awesome!
I pushed a first draft of the atr lookup.

There is two special cases, one with dots. and one with [1-5] (where 1-2 is numbers valid for that pos)
I handle the first special case. Not the second yet.

maybe refactor it to use regex instead....