# passerelle - uniform access to multiple data sources and services
# Copyright (C) 2018 Entr'ouvert
#
# This program is free software: you can redistribute it and/or modify it
# under the terms of the GNU Affero General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
# passerelle - uniform access to multiple data sources and services
# Copyright (C) 2018 Entr'ouvert
#
# This program is free software: you can redistribute it and/or modify it
# under the terms of the GNU Affero General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.

import json

import jsonschema
import pytest
from django.utils.translation import gettext_lazy

from passerelle.utils.json import FLATTEN_SEPARATOR as SEP
from passerelle.utils.json import flatten, flatten_json_schema, unflatten, validate_schema
from passerelle.utils.jsonresponse import JSONEncoder


def test_unflatten_base():
    assert unflatten('') == ''
    assert unflatten('a') == 'a'
    assert unflatten([]) == []
    assert unflatten([1]) == [1]
    assert unflatten({}) == {}
    assert unflatten(0) == 0
    assert unflatten(1) == 1
    assert unflatten(False) is False
    assert unflatten(True) is True


def test_unflatten_dict():
    assert unflatten(
        {
            'a' + SEP + 'b' + SEP + '0': 1,
            'a' + SEP + 'c' + SEP + '1': 'a',
            'a' + SEP + 'b' + SEP + '1': True,
            'a' + SEP + 'c' + SEP + '0': [1],
        }
    ) == {
        'a': {
            'b': [1, True],
            'c': [[1], 'a'],
        }
    }

    assert unflatten(
        {
            'a' + SEP + SEP + 'b': 1,
        }
    ) == {'a' + SEP + 'b': 1}

    assert unflatten(
        {
            'a' + SEP + SEP + 'b': 1,
            'a' + SEP + SEP + 'c' + SEP + 'd': 1,
        }
    ) == {'a' + SEP + 'b': 1, 'a' + SEP + 'c': {'d': 1}}


def test_unflatten_array():
    assert unflatten(
        {
            '0' + SEP + 'b' + SEP + '0': 1,
            '1' + SEP + 'c' + SEP + '1': 'a',
            '0' + SEP + 'b' + SEP + '1': True,
            '1' + SEP + 'c' + SEP + '0': [1],
        }
    ) == [{'b': [1, True]}, {'c': [[1], 'a']}]

    assert unflatten(
        {
            '0' + SEP + 'b' + SEP + '0': 1,
            '1' + SEP + 'c' + SEP + SEP + '0': 1,
        }
    ) == [{'b': [1]}, {'c' + SEP + '0': 1}]


def test_unflatten_missing_final_index():
    with pytest.raises(ValueError) as exc_info:
        unflatten({'1': 1})
    assert 'incomplete' in exc_info.value.args[0]


def test_unflatten_missing_intermediate_index():
    with pytest.raises(ValueError) as exc_info:
        unflatten({'a' + SEP + '1' + SEP + 'b': 1})
    assert 'incomplete' in exc_info.value.args[0]


def test_flatten_array_schema():
    schema = {
        'type': 'array',
        'items': {
            'type': 'object',
            'properties': {
                'a': {
                    'type': 'string',
                },
                'b': {
                    'type': 'integer',
                },
                'c': {
                    'type': 'array',
                    'items': {
                        'type': 'integer',
                    },
                },
            },
            'additionalProperties': False,
        },
    }
    flattened_schema = flatten_json_schema(schema)
    data = [
        {'a': 'a', 'b': 1, 'c': [1, 2, 3]},
        {'a': 'a', 'b': 1, 'c': [1, 2, 3]},
        {'a': 'a', 'b': 1, 'c': [1, 2, 3]},
    ]
    flattened_data = flatten(data)

    jsonschema.validate(schema=schema, instance=data)
    assert flattened_schema == {
        'type': 'object',
        'description': 'flattened schema *never* use for validation',
        'properties': {
            '0' + SEP + 'a': {'type': 'string'},
            '0' + SEP + 'b': {'type': 'integer'},
            '0' + SEP + 'c' + SEP + '0': {'type': 'integer'},
            '0' + SEP + 'c' + SEP + '1': {'type': 'integer'},
            '0' + SEP + 'c' + SEP + '2': {'type': 'integer'},
            '1' + SEP + 'a': {'type': 'string'},
            '1' + SEP + 'b': {'type': 'integer'},
            '1' + SEP + 'c' + SEP + '0': {'type': 'integer'},
            '1' + SEP + 'c' + SEP + '1': {'type': 'integer'},
            '1' + SEP + 'c' + SEP + '2': {'type': 'integer'},
            '2' + SEP + 'a': {'type': 'string'},
            '2' + SEP + 'b': {'type': 'integer'},
            '2' + SEP + 'c' + SEP + '0': {'type': 'integer'},
            '2' + SEP + 'c' + SEP + '1': {'type': 'integer'},
            '2' + SEP + 'c' + SEP + '2': {'type': 'integer'},
        },
        'additionalProperties': False,
    }
    # This should never be done as we cannot really validate all keys
    # containing array indexes, here it works because array have less than 3
    # elements.
    jsonschema.validate(schema=flattened_schema, instance=flattened_data)
    assert data == unflatten(flattened_data)


def test_flatten_dict_schema():
    assert flatten_json_schema(
        {
            'type': 'object',
            'properties': {
                'a': {
                    'type': 'string',
                },
                'b': {
                    'type': 'integer',
                },
                'c': {
                    'type': 'array',
                    'items': {
                        'type': 'integer',
                    },
                },
            },
        }
    ) == {
        'type': 'object',
        'description': 'flattened schema *never* use for validation',
        'properties': {
            'a': {'type': 'string'},
            'b': {'type': 'integer'},
            'c' + SEP + '0': {'type': 'integer'},
            'c' + SEP + '1': {'type': 'integer'},
            'c' + SEP + '2': {'type': 'integer'},
        },
        'additionalProperties': False,
    }


@pytest.mark.parametrize(
    'instance,schema',
    [
        (
            {
                'foo': 'bar',
            },
            {
                'type': 'object',
                'title': gettext_lazy('test'),
                'properties': {
                    'foo': {'type': 'string'},
                },
            },
        ),
    ],
)
def test_validate_schema(instance, schema):
    validate_schema(instance, schema)
    json.dumps(instance, cls=JSONEncoder)