import pytest

import pandas.util._test_decorators as td

import pandas as pd
import pandas._testing as tm


def test_compression_roundtrip(compression):
    df = pd.DataFrame(
        [[0.123456, 0.234567, 0.567567], [12.32112, 123123.2, 321321.2]],
        index=["A", "B"],
        columns=["X", "Y", "Z"],
    )

    with tm.ensure_clean() as path:
        df.to_json(path, compression=compression)
        tm.assert_frame_equal(df, pd.read_json(path, compression=compression))

        # explicitly ensure file was compressed.
        with tm.decompress_file(path, compression) as fh:
            result = fh.read().decode("utf8")
        tm.assert_frame_equal(df, pd.read_json(result))


def test_read_zipped_json(datapath):
    uncompressed_path = datapath("io", "json", "data", "tsframe_v012.json")
    uncompressed_df = pd.read_json(uncompressed_path)

    compressed_path = datapath("io", "json", "data", "tsframe_v012.json.zip")
    compressed_df = pd.read_json(compressed_path, compression="zip")

    tm.assert_frame_equal(uncompressed_df, compressed_df)


@td.skip_if_not_us_locale
def test_with_s3_url(compression, s3_resource, s3so):
    # Bucket "pandas-test" created in tests/io/conftest.py

    df = pd.read_json('{"a": [1, 2, 3], "b": [4, 5, 6]}')

    with tm.ensure_clean() as path:
        df.to_json(path, compression=compression)
        with open(path, "rb") as f:
            s3_resource.Bucket("pandas-test").put_object(Key="test-1", Body=f)

    roundtripped_df = pd.read_json(
        "s3://pandas-test/test-1", compression=compression, storage_options=s3so
    )
    tm.assert_frame_equal(df, roundtripped_df)


def test_lines_with_compression(compression):

    with tm.ensure_clean() as path:
        df = pd.read_json('{"a": [1, 2, 3], "b": [4, 5, 6]}')
        df.to_json(path, orient="records", lines=True, compression=compression)
        roundtripped_df = pd.read_json(path, lines=True, compression=compression)
        tm.assert_frame_equal(df, roundtripped_df)


def test_chunksize_with_compression(compression):

    with tm.ensure_clean() as path:
        df = pd.read_json('{"a": ["foo", "bar", "baz"], "b": [4, 5, 6]}')
        df.to_json(path, orient="records", lines=True, compression=compression)

        with pd.read_json(
            path, lines=True, chunksize=1, compression=compression
        ) as res:
            roundtripped_df = pd.concat(res)
        tm.assert_frame_equal(df, roundtripped_df)


def test_write_unsupported_compression_type():
    df = pd.read_json('{"a": [1, 2, 3], "b": [4, 5, 6]}')
    with tm.ensure_clean() as path:
        msg = "Unrecognized compression type: unsupported"
        with pytest.raises(ValueError, match=msg):
            df.to_json(path, compression="unsupported")


def test_read_unsupported_compression_type():
    with tm.ensure_clean() as path:
        msg = "Unrecognized compression type: unsupported"
        with pytest.raises(ValueError, match=msg):
            pd.read_json(path, compression="unsupported")


@pytest.mark.parametrize("to_infer", [True, False])
@pytest.mark.parametrize("read_infer", [True, False])
def test_to_json_compression(compression_only, read_infer, to_infer):
    # see gh-15008
    compression = compression_only

    if compression == "zip":
        pytest.skip(f"{compression} is not supported for to_csv")

    # We'll complete file extension subsequently.
    filename = "test."

    if compression == "gzip":
        filename += "gz"
    else:
        # xz --> .xz
        # bz2 --> .bz2
        filename += compression

    df = pd.DataFrame({"A": [1]})

    to_compression = "infer" if to_infer else compression
    read_compression = "infer" if read_infer else compression

    with tm.ensure_clean(filename) as path:
        df.to_json(path, compression=to_compression)
        result = pd.read_json(path, compression=read_compression)
        tm.assert_frame_equal(result, df)
