import pytest
from pandas.io.parsers import read_table


@pytest.fixture
def tips_file(datapath):
    """Path to the tips dataset"""
    return datapath('io', 'parser', 'data', 'tips.csv')


@pytest.fixture
def jsonl_file(datapath):
    """Path a JSONL dataset"""
    return datapath('io', 'parser', 'data', 'items.jsonl')


@pytest.fixture
def salaries_table(datapath):
    """DataFrame with the salaries dataset"""
    return read_table(datapath('io', 'parser', 'data', 'salaries.csv'))


@pytest.fixture
def s3_resource(tips_file, jsonl_file):
    """Fixture for mocking S3 interaction.

    The primary bucket name is "pandas-test". The following datasets
    are loaded.

    - tips.csv
    - tips.csv.gz
    - tips.csv.bz2
    - items.jsonl

    A private bucket "cant_get_it" is also created. The boto3 s3 resource
    is yielded by the fixture.
    """
    pytest.importorskip('s3fs')
    boto3 = pytest.importorskip('boto3')
    moto = pytest.importorskip('moto')

    test_s3_files = [
        ('tips.csv', tips_file),
        ('tips.csv.gz', tips_file + '.gz'),
        ('tips.csv.bz2', tips_file + '.bz2'),
        ('items.jsonl', jsonl_file),
    ]

    def add_tips_files(bucket_name):
        for s3_key, file_name in test_s3_files:
            with open(file_name, 'rb') as f:
                conn.Bucket(bucket_name).put_object(
                    Key=s3_key,
                    Body=f)

    try:

        s3 = moto.mock_s3()
        s3.start()

        # see gh-16135
        bucket = 'pandas-test'
        conn = boto3.resource("s3", region_name="us-east-1")

        conn.create_bucket(Bucket=bucket)
        add_tips_files(bucket)

        conn.create_bucket(Bucket='cant_get_it', ACL='private')
        add_tips_files('cant_get_it')
        yield conn
    except:  # noqa: flake8
        pytest.skip("failure to use s3 resource")
    finally:
        s3.stop()
