중첩된 CSV 데이터 파싱

main.py

# coding: utf-8

def parse(bin):
    raw_blocks = []
    block = []

    for line in bin.splitlines():
        line = line.strip()

        if line.startswith('*'):
            if block:
                raw_blocks.append(block)
            block = [line]
        else:
            block.append(line)
    else:
        if block:
            raw_blocks.append(block)

    blocks = []
    for block in raw_blocks:
        name = block[0].strip('*').strip().split(':')[-1]
        field_names = block[1].split(',')
        rows = []
        for line in block[2:]:
            rows.append(dict(zip(field_names, line.split(','))))
        blocks.append({
            'name': name,
            'rows': rows,
        })

    return blocks

if __name__ == '__main__':
    bin = u"""************************** 레코드명:t8430InBlock **************************
No,한글명,필드명,영문명,레코드타입,데이터사이즈,옵셋,소수점
0,구분(0:전체1:코스피2:코스닥),gubun,gubun,1,1,0,0
************************** 레코드명:t8430OutBlock **************************
No,한글명,필드명,영문명,레코드타입,데이터사이즈,옵셋,소수점
0,종목명,hname,hname,1,20,0,0
1,단축코드,shcode,shcode,1,6,20,0
2,확장코드,expcode,expcode,1,12,26,0
3,ETF구분(1:ETF),etfgubun,etfgubun,1,1,38,0
4,상한가,uplmtprice,uplmtprice,2,8,39,0
5,하한가,dnlmtprice,dnlmtprice,2,8,47,0
6,전일가,jnilclose,jnilclose,2,8,55,0
7,주문수량단위,memedan,memedan,1,5,63,0
8,기준가,recprice,recprice,2,8,68,0
9,구분(1:코스피2:코스닥),gubun,gubun,1,1,76,0"""

    blocks = parse(bin)

    for block in blocks:
        print block['name']
        for row in block['rows']:
            print row[u'필드명']

        print [row[u'필드명'] for row in block['rows']]