Parser/OVI/Lemmi-Iperlemmi.py

import csv
import codecs
import pandas as pd
import re
import os
import io
import tokenize

results = []
with open('/Users/alessiaspadi/Documents/RESTORE/temp_ovi/assoc_Data.csv') as File:
    reader = csv.reader(File)
    for row in reader:
        results.append(row)

lemmi = []
iperlemmi = []

df = pd.read_csv('/Users/alessiaspadi/Documents/RESTORE/temp_ovi/lem_Data.csv', sep=';')
for x in range(len(df)):
    lemmi.append([df.sigla[x], df.num[x], df.lemma[x]])

cf = pd.read_csv('/Users/alessiaspadi/Documents/RESTORE/temp_ovi/iperlemmi_Datini.csv', sep=',')
for x in range(len(cf)):
    iperlemmi.append([cf.sigla[x], cf.num[x], cf.iperlemma[x]])

lip_data = open('lip_Data.csv', 'w')
csvwriter = csv.writer(lip_data)

params = ["sigla", "n_lemma", "n_iperlemma", "lemma", "iperlemma"]
csvwriter.writerow(params)


for r in results:
    sigla = r[0]
    num = int(r[1])
    ip = int(r[2])
    row = [sigla, num, ip]
    file_name = "lemmi." + sigla + ".txt"
    f = open('/Users/alessiaspadi/Documents/RESTORE/temp_ovi/lemmi/' + file_name, "r", encoding='latin-1')
    lines = f.readlines()
    for line in lines:
        if "IPERLEMMA" not in line:
            lem = re.split('\|', line)
            nn = int(lem[0])
            if nn == num:
                row.append(lem[1])
        else:
            iplem = re.split('\|', line)
            np = iplem[0].replace("IPERLEMMA", " ")
            mp = int(np)
            if ip == mp:
                row.append(iplem[1])
    csvwriter.writerow(row)

f.close()
lip_data.close()