from . import InputExample
import csv
import gzip
import os

class TripletReader(object):
    """
    Reads in the a Triplet Dataset: Each line contains (at least) 3 columns, one anchor column (s1),
    one positive example (s2) and one negative example (s3)
    """
    def __init__(self, dataset_folder, s1_col_idx=0, s2_col_idx=1, s3_col_idx=2, has_header=False, delimiter="\t",
                 quoting=csv.QUOTE_NONE):
        self.dataset_folder = dataset_folder
        self.s1_col_idx = s1_col_idx
        self.s2_col_idx = s2_col_idx
        self.s3_col_idx = s3_col_idx
        self.has_header = has_header
        self.delimiter = delimiter
        self.quoting = quoting

    def get_examples(self, filename, max_examples=0):
        """

        """
        data = csv.reader(open(os.path.join(self.dataset_folder, filename), encoding="utf-8"), delimiter=self.delimiter,
                          quoting=self.quoting)
        examples = []
        if self.has_header:
            next(data)

        for id, row in enumerate(data):
            s1 = row[self.s1_col_idx]
            s2 = row[self.s2_col_idx]
            s3 = row[self.s3_col_idx]

            examples.append(InputExample(guid=filename+str(id), texts=[s1, s2, s3], label=1))
            if max_examples > 0 and len(examples) >= max_examples:
                break

        return examples