# Copyright 2025 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import numpy as np
import pandas as pd
import pytest

import bigframes
import bigframes.pandas as bpd

pytest.importorskip("pytest_snapshot")


def test_compile_readlocal(
    scalar_types_pandas_df: pd.DataFrame, compiler_session: bigframes.Session, snapshot
):
    bf_df = bpd.DataFrame(scalar_types_pandas_df, session=compiler_session)
    snapshot.assert_match(bf_df.sql, "out.sql")


def test_compile_readlocal_w_structs_df(
    nested_structs_pandas_df: pd.DataFrame,
    compiler_session_w_nested_structs_types: bigframes.Session,
    snapshot,
):
    bf_df = bpd.DataFrame(
        nested_structs_pandas_df, session=compiler_session_w_nested_structs_types
    )
    snapshot.assert_match(bf_df.sql, "out.sql")


def test_compile_readlocal_w_lists_df(
    repeated_types_pandas_df: pd.DataFrame,
    compiler_session_w_repeated_types: bigframes.Session,
    snapshot,
):
    bf_df = bpd.DataFrame(
        repeated_types_pandas_df, session=compiler_session_w_repeated_types
    )
    snapshot.assert_match(bf_df.sql, "out.sql")


def test_compile_readlocal_w_json_df(
    json_pandas_df: pd.DataFrame,
    compiler_session_w_json_types: bigframes.Session,
    snapshot,
):
    bf_df = bpd.DataFrame(json_pandas_df, session=compiler_session_w_json_types)
    snapshot.assert_match(bf_df.sql, "out.sql")


def test_compile_readlocal_w_special_values(
    compiler_session: bigframes.Session, snapshot
):
    df = pd.DataFrame(
        {
            "col_none": [None, 1, 2],
            "col_inf": [np.inf, 1.0, 2.0],
            "col_neginf": [-np.inf, 1.0, 2.0],
            "col_nan": [np.nan, 1.0, 2.0],
            "col_struct_none": [None, {"foo": 1}, {"foo": 2}],
            "col_struct_w_none": [{"foo": None}, {"foo": 1}, {"foo": 2}],
            "col_list_none": [None, [1, 2], [3, 4]],
        }
    )
    bf_df = bpd.DataFrame(df, session=compiler_session)
    snapshot.assert_match(bf_df.sql, "out.sql")
