"""Dataverse data model tests."""

import json
import jsonschema
import os
import platform
import pytest
from pyDataverse.models import Dataverse
from ..conftest import test_config


def read_file(filename, mode="r"):
    """Read in a file.

    Parameters
    ----------
    filename : str
        Filename with full path.
    mode : str
        Read mode of file. Defaults to `r`. See more at
        https://docs.python.org/3.5/library/functions.html#open

    Returns
    -------
    str
        Returns data as string.

    """
    with open(filename, mode) as f:
        return f.read()


def write_json(filename, data, mode="w", encoding="utf-8"):
    """Write data to a json file.

    Parameters
    ----------
    filename : str
        Filename with full path.
    data : dict
        Data to be written in the json file.
    mode : str
        Write mode of file. Defaults to `w`. See more at
        https://docs.python.org/3/library/functions.html#open

    """
    with open(filename, mode, encoding=encoding) as f:
        json.dump(data, f, indent=2)


def data_object():
    """Get Dataverse object.

    Returns
    -------
    pydataverse.models.Dataverse
        :class:`Dataverse` object.
    """
    return Dataverse()


def dict_flat_set_min():
    """Get flat dict for set() of minimum Dataverse.

    Returns
    -------
    dict
        Flat dict with minimum Dataverse data.
    """
    return {
        "alias": "test-pyDataverse",
        "name": "Test pyDataverse",
        "dataverseContacts": [{"contactEmail": "info@aussda.at"}],
    }


def dict_flat_set_full():
    """Get flat dict for set() of full Dataverse.

    Returns
    -------
    dict
        Flat dict with full Dataverse data.

    """
    return {
        "name": "Scientific Research",
        "alias": "science",
        "dataverseContacts": [
            {"contactEmail": "pi@example.edu"},
            {"contactEmail": "student@example.edu"},
        ],
        "affiliation": "Scientific Research University",
        "description": "We do all the science.",
        "dataverseType": "LABORATORY",
    }


def object_data_init():
    """Get dictionary for Dataverse with initial attributes.

    Returns
    -------
    dict
        Dictionary of init data attributes set.

    """
    return {
        "_Dataverse_default_json_format": "dataverse_upload",
        "_Dataverse_default_json_schema_filename": test_config[
            "dataverse_upload_schema_filename"
        ],
        "_Dataverse_allowed_json_formats": ["dataverse_upload", "dataverse_download"],
        "_Dataverse_json_dataverse_upload_attr": [
            "affiliation",
            "alias",
            "dataverseContacts",
            "dataverseType",
            "description",
            "name",
        ],
        "_internal_attributes": [],
    }


def object_data_min():
    """Get dictionary for Dataverse with minimum attributes.

    Returns
    -------
    pyDataverse.Dataverse
        :class:`Dataverse` with minimum attributes set.

    """
    return {
        "alias": "test-pyDataverse",
        "name": "Test pyDataverse",
        "dataverseContacts": [{"contactEmail": "info@aussda.at"}],
    }


def object_data_full():
    """Get dictionary for Dataverse with full attributes.

    Returns
    -------
    pyDataverse.Dataverse
        :class:`Dataverse` with full attributes set.

    """
    return {
        "alias": "science",
        "name": "Scientific Research",
        "dataverseContacts": [
            {"contactEmail": "pi@example.edu"},
            {"contactEmail": "student@example.edu"},
        ],
        "affiliation": "Scientific Research University",
        "description": "We do all the science.",
        "dataverseType": "LABORATORY",
    }


def dict_flat_get_min():
    """Get flat dict for :func:`get` with minimum data of Dataverse.

    Returns
    -------
    dict
        Minimum Dataverse dictionary returned by :func:`get`.

    """
    return {
        "alias": "test-pyDataverse",
        "name": "Test pyDataverse",
        "dataverseContacts": [{"contactEmail": "info@aussda.at"}],
    }


def dict_flat_get_full():
    """Get flat dict for :func:`get` of full data of Dataverse.

    Returns
    -------
    dict
        Full Datafile dictionary returned by :func:`get`.

    """
    return {
        "name": "Scientific Research",
        "alias": "science",
        "dataverseContacts": [
            {"contactEmail": "pi@example.edu"},
            {"contactEmail": "student@example.edu"},
        ],
        "affiliation": "Scientific Research University",
        "description": "We do all the science.",
        "dataverseType": "LABORATORY",
    }


def json_upload_min():
    """Get JSON string of minimum Dataverse.

    Returns
    -------
    str
        JSON string.

    """
    return read_file(test_config["dataverse_upload_min_filename"])


def json_upload_full():
    """Get JSON string of full Dataverse.

    Returns
    -------
    str
        JSON string.

    """
    return read_file(test_config["dataverse_upload_full_filename"])


def json_dataverse_upload_attr():
    """List of attributes import or export in format `dataverse_upload`.

    Returns
    -------
    list
        List of attributes, which will be used for import and export.

    """
    return [
        "affiliation",
        "alias",
        "dataverseContacts",
        "dataverseType",
        "description",
        "name",
    ]


def json_dataverse_upload_required_attr():
    """List of attributes required for `dataverse_upload` JSON.

    Returns
    -------
    list
        List of attributes, which will be used for import and export.

    """
    return ["alias", "dataverseContacts", "name"]


class TestDataverseGeneric(object):
    """Generic tests for Dataverse()."""

    def test_dataverse_set_and_get_valid(self):
        """Test Dataverse.get() with valid data."""
        data = [
            ((dict_flat_set_min(), object_data_min()), dict_flat_get_min()),
            ((dict_flat_set_full(), object_data_full()), dict_flat_get_full()),
            (({}, {}), {}),
        ]

        pdv = data_object()
        pdv.set(dict_flat_set_min())
        assert isinstance(pdv.get(), dict)

        for input, data_eval in data:
            pdv = data_object()
            pdv.set(input[0])
            data = pdv.get()
            for key, val in data_eval.items():
                assert data[key] == input[1][key] == data_eval[key]
            assert len(data) == len(input[1]) == len(data_eval)

    def test_dataverse_set_invalid(self):
        """Test Dataverse.set() with invalid data."""

        # invalid data
        for data in test_config["invalid_set_types"]:
            with pytest.raises(AssertionError):
                pdv = data_object()
                pdv.set(data)

    def test_dataverse_from_json_valid(self):
        """Test Dataverse.from_json() with valid data."""
        data = [
            (({json_upload_min()}, {}), object_data_min()),
            (({json_upload_full()}, {}), object_data_full()),
            (
                ({json_upload_min()}, {"data_format": "dataverse_upload"}),
                object_data_min(),
            ),
            (({json_upload_min()}, {"validate": False}), object_data_min()),
            (
                (
                    {json_upload_min()},
                    {"filename_schema": "", "validate": False},
                ),
                object_data_min(),
            ),
            (
                (
                    {json_upload_min()},
                    {"filename_schema": "wrong", "validate": False},
                ),
                object_data_min(),
            ),
            (
                (
                    {json_upload_min()},
                    {
                        "filename_schema": test_config[
                            "dataverse_upload_schema_filename"
                        ],
                        "validate": True,
                    },
                ),
                object_data_min(),
            ),
            (({"{}"}, {"validate": False}), {}),
        ]

        for input, data_eval in data:
            pdv = data_object()
            args = input[0]
            kwargs = input[1]
            pdv.from_json(*args, **kwargs)

            for key, val in data_eval.items():
                assert getattr(pdv, key) == data_eval[key]
            assert len(pdv.__dict__) - len(object_data_init()) == len(data_eval)

    def test_dataverse_from_json_invalid(self):
        """Test Dataverse.from_json() with invalid data."""
        # invalid data
        for data in test_config["invalid_json_data_types"]:
            with pytest.raises(AssertionError):
                pdv = data_object()
                pdv.from_json(data, validate=False)

        if int(platform.python_version_tuple()[1]) >= 5:
            for json_string in test_config["invalid_json_strings"]:
                with pytest.raises(json.decoder.JSONDecodeError):
                    pdv = data_object()
                    pdv.from_json(json_string, validate=False)
        else:
            for json_string in test_config["invalid_json_strings"]:
                with pytest.raises(ValueError):
                    pdv = data_object()
                    pdv.from_json(json_string, validate=False)

        # invalid `filename_schema`
        for filename_schema in test_config["invalid_filename_strings"]:
            with pytest.raises(FileNotFoundError):
                pdv = data_object()
                pdv.from_json(json_upload_min(), filename_schema=filename_schema)

        for filename_schema in test_config["invalid_filename_types"]:
            with pytest.raises(AssertionError):
                pdv = data_object()
                pdv.from_json(json_upload_min(), filename_schema=filename_schema)

        # invalid `data_format`
        for data_format in (
            test_config["invalid_data_format_types"]
            + test_config["invalid_data_format_strings"]
        ):
            with pytest.raises(AssertionError):
                pdv = data_object()
                pdv.from_json(
                    json_upload_min(), data_format=data_format, validate=False
                )

        # invalid `validate`
        for validate in test_config["invalid_validate_types"]:
            with pytest.raises(AssertionError):
                pdv = data_object()
                pdv.from_json(json_upload_min(), validate=validate)

        with pytest.raises(jsonschema.exceptions.ValidationError):
            pdv = data_object()
            pdv.from_json("{}")

        for attr in json_dataverse_upload_required_attr():
            with pytest.raises(jsonschema.exceptions.ValidationError):
                pdv = data_object()
                data = json.loads(json_upload_min())
                del data[attr]
                data = json.dumps(data)
                pdv.from_json(data, validate=True)

    def test_dataverse_to_json_valid(self):
        """Test Dataverse.json() with valid data."""
        data = [
            ((dict_flat_set_min(), {}), json.loads(json_upload_min())),
            ((dict_flat_set_full(), {}), json.loads(json_upload_full())),
            (
                (dict_flat_set_min(), {"data_format": "dataverse_upload"}),
                json.loads(json_upload_min()),
            ),
            (
                (dict_flat_set_min(), {"validate": False}),
                json.loads(json_upload_min()),
            ),
            (
                (
                    dict_flat_set_min(),
                    {"filename_schema": "", "validate": False},
                ),
                json.loads(json_upload_min()),
            ),
            (
                (
                    dict_flat_set_min(),
                    {"filename_schema": "wrong", "validate": False},
                ),
                json.loads(json_upload_min()),
            ),
            (
                (
                    dict_flat_set_min(),
                    {
                        "filename_schema": test_config[
                            "dataverse_upload_schema_filename"
                        ],
                        "validate": True,
                    },
                ),
                json.loads(json_upload_min()),
            ),
            (({}, {"validate": False}), {}),
        ]

        pdv = data_object()
        pdv.set(dict_flat_set_min())
        assert isinstance(pdv.json(), str)

        for input, data_eval in data:
            pdv = data_object()
            pdv.set(input[0])
            kwargs = input[1]
            data = json.loads(pdv.json(**kwargs))
            for key, val in data_eval.items():
                assert data[key] == data_eval[key]
            assert len(data) == len(data_eval)

    def test_dataverse_to_json_invalid(self):
        """Test Dataverse.json() with non-valid data."""
        # invalid `filename_schema`
        for filename_schema in test_config["invalid_filename_strings"]:
            with pytest.raises(FileNotFoundError):
                obj = data_object()
                obj.json(filename_schema=filename_schema)

        for filename_schema in test_config["invalid_filename_types"]:
            with pytest.raises(AssertionError):
                pdv = data_object()
                pdv.json(filename_schema=filename_schema)

        # invalid `data_format`
        for data_format in (
            test_config["invalid_data_format_types"]
            + test_config["invalid_data_format_strings"]
        ):
            with pytest.raises(AssertionError):
                pdv = data_object()
                pdv.set(dict_flat_set_min())
                pdv.json(data_format=data_format, validate=False)

        # invalid `validate`
        for validate in test_config["invalid_validate_types"]:
            with pytest.raises(AssertionError):
                pdv = data_object()
                pdv.set(dict_flat_set_min())
                pdv.json(validate=validate)

        with pytest.raises(jsonschema.exceptions.ValidationError):
            pdv = data_object()
            pdv.set({})
            pdv.json()

        for attr in json_dataverse_upload_required_attr():
            with pytest.raises(jsonschema.exceptions.ValidationError):
                pdv = data_object()
                data = json.loads(json_upload_min())
                del data[attr]
                pdv.set(data)
                pdv.json(validate=True)

    def test_dataverse_validate_json_valid(self):
        """Test Dataverse.validate_json() with valid data."""
        data = [
            ((dict_flat_set_min(), {}), True),
            ((dict_flat_set_full(), {}), True),
            ((dict_flat_set_min(), {"data_format": "dataverse_upload"}), True),
            (
                (
                    dict_flat_set_min(),
                    {
                        "data_format": "dataverse_upload",
                        "filename_schema": test_config[
                            "dataverse_upload_schema_filename"
                        ],
                    },
                ),
                True,
            ),
            (
                (
                    dict_flat_set_min(),
                    {
                        "filename_schema": test_config[
                            "dataverse_upload_schema_filename"
                        ]
                    },
                ),
                True,
            ),
        ]

        for input, data_eval in data:
            pdv = data_object()
            pdv.set(input[0])

            assert pdv.validate_json() == data_eval

    def test_dataverse_validate_json_invalid(self):
        """Test Dataverse.validate_json() with non-valid data."""
        # invalid data
        for attr in json_dataverse_upload_required_attr():
            with pytest.raises(jsonschema.exceptions.ValidationError):
                for data in [dict_flat_set_min(), dict_flat_set_full()]:
                    pdv = data_object()
                    pdv.set(data)
                    delattr(pdv, attr)
                    pdv.validate_json()

        # invalid `filename_schema`
        for filename_schema in test_config["invalid_filename_strings"]:
            with pytest.raises(FileNotFoundError):
                pdv = data_object()
                pdv.set(dict_flat_set_min())
                pdv.validate_json(filename_schema=filename_schema)

        for filename_schema in test_config["invalid_filename_types"]:
            with pytest.raises(AssertionError):
                pdv = data_object()
                pdv.set(dict_flat_set_min())
                pdv.validate_json(filename_schema=filename_schema)


class TestDataverseSpecific(object):
    """Specific tests for Dataverse()."""

    def test_dataverse_init_valid(self):
        """Test Dataverse.__init__() with valid data."""
        # specific
        data = [
            (Dataverse(), {}),
            (Dataverse(dict_flat_set_min()), object_data_min()),
            (Dataverse(dict_flat_set_full()), object_data_full()),
            (Dataverse({}), {}),
        ]

        for pdv, data_eval in data:
            for key, val in data_eval.items():
                print(getattr(pdv, key))
                print(data_eval[key])
                assert getattr(pdv, key) == data_eval[key]
            assert len(pdv.__dict__) - len(object_data_init()) == len(data_eval)

    def test_dataverse_init_invalid(self):
        """Test Dataverse.init() with invalid data."""
        pdv = Dataverse()

        # invalid data
        for data in test_config["invalid_set_types"]:
            with pytest.raises(AssertionError):
                pdv.set(data)


if not os.environ.get("TRAVIS"):

    class TestDataverseGenericTravisNot(object):
        """Generic tests for Dataverse(), not running on Travis (no file-write permissions)."""

        def test_dataverse_from_json_to_json_valid(self):
            """Test Dataverse to JSON from JSON with valid data."""
            data = [
                ({json_upload_min()}, {}),
                ({json_upload_full()}, {}),
                ({json_upload_min()}, {"data_format": "dataverse_upload"}),
                ({json_upload_min()}, {"validate": False}),
                (
                    {json_upload_min()},
                    {"filename_schema": "", "validate": False},
                ),
                (
                    {json_upload_min()},
                    {"filename_schema": "wrong", "validate": False},
                ),
                (
                    {json_upload_min()},
                    {
                        "filename_schema": test_config[
                            "dataverse_upload_schema_filename"
                        ],
                        "validate": True,
                    },
                ),
                ({"{}"}, {"validate": False}),
            ]

            for args_from, kwargs_from in data:
                pdv_start = data_object()
                args = args_from
                kwargs = kwargs_from
                pdv_start.from_json(*args, **kwargs)
                if "validate" in kwargs:
                    if not kwargs["validate"]:
                        kwargs = {"validate": False}
                data_out = json.loads(pdv_start.json(**kwargs))
                write_json(test_config["dataverse_json_output_filename"], data_out)
                data_in = read_file(test_config["dataverse_json_output_filename"])
                pdv_end = data_object()
                kwargs = kwargs_from
                pdv_end.from_json(data_in, **kwargs)

                for key, val in pdv_end.get().items():
                    assert getattr(pdv_start, key) == getattr(pdv_end, key)
                assert len(pdv_start.__dict__) == len(
                    pdv_end.__dict__,
                )