// Copyright (C) 2018-2026 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//

#include "common_op_table.hpp"
#include "openvino/op/broadcast.hpp"
#include "openvino/op/constant.hpp"
#include "openvino/op/gather.hpp"
#include "openvino/op/reverse_sequence.hpp"
#include "openvino/op/shape_of.hpp"
#include "openvino/op/squeeze.hpp"
#include "openvino/op/unsqueeze.hpp"

using namespace std;
using namespace ov;
using namespace ov::op;

namespace ov {
namespace frontend {
namespace tensorflow {
namespace op {
shared_ptr<Node> compute_sequence_lengths(const Output<Node>& input_shape, int64_t batch_axis, int64_t seq_axis) {
    auto batch_axis_const = make_shared<v0::Constant>(element::i32, Shape{1}, batch_axis);
    auto seq_axis_const = make_shared<v0::Constant>(element::i32, Shape{1}, seq_axis);
    auto gather_axis = make_shared<v0::Constant>(element::i32, Shape{}, 0);
    auto batch_dim = make_shared<v8::Gather>(input_shape, batch_axis_const, gather_axis);
    auto seq_dim = make_shared<v8::Gather>(input_shape, seq_axis_const, gather_axis);
    auto seq_lengths = make_shared<v3::Broadcast>(seq_dim, batch_dim);

    return seq_lengths;
}

OutputVector translate_reverse_base_op(const NodeContext& node,
                                       const Output<Node>& input,
                                       const std::vector<int64_t>& axes) {
    auto reverse_node_name = node.get_name();
    if (axes.size() == 0) {
        // there is nothing to reverse
        input.get_tensor().add_names({reverse_node_name + ":0"});
        return {input};
    }

    TENSORFLOW_OP_VALIDATION(
        node,
        axes.size() == 1,
        "OpenVINO TensorFlow Frontend does not support Reverse or ReverseV2 with multiple axes for the reversing.");

    int64_t seq_axis = axes[0];
    int64_t batch_axis = 0;

    // when we are not sure that input rank greater than 1
    // based on seq_axis, introduce the auxiliary dimension for the batch
    std::vector<int64_t> unsqueeze_axes;
    if (seq_axis == 0 || seq_axis == -1) {
        unsqueeze_axes.push_back(0);
    }

    // make sure that batch and sequence dimensions are different
    // in case seq_axis is zero, we added the temporal dimension in the previous step
    // so we have to shift it by one
    seq_axis = (seq_axis == 0) ? 1 : seq_axis;
    auto batched_input = input;
    if (unsqueeze_axes.size() > 0) {
        // prepare input to issue auxiliary dimensions for batch
        auto unsqueeze_axes_const =
            make_shared<v0::Constant>(element::i32, Shape{unsqueeze_axes.size()}, unsqueeze_axes);
        batched_input = make_shared<v0::Unsqueeze>(input, unsqueeze_axes_const);
    }

    auto input_shape = make_shared<v3::ShapeOf>(batched_input, element::i32);
    auto seq_lengths = compute_sequence_lengths(input_shape, batch_axis, seq_axis);
    auto reverse_sequence =
        make_shared<v0::ReverseSequence>(batched_input, seq_lengths, batch_axis, seq_axis)->output(0);

    if (unsqueeze_axes.size() > 0) {
        // remove earlier added additional dimensions from the result
        auto squeeze_axes_const = make_shared<v0::Constant>(element::i32, Shape{unsqueeze_axes.size()}, unsqueeze_axes);
        reverse_sequence = make_shared<v0::Squeeze>(reverse_sequence, squeeze_axes_const);
    }

    set_node_name(node.get_name(), reverse_sequence.get_node_shared_ptr());
    return {reverse_sequence};
}

OutputVector translate_reverse_op(const NodeContext& node) {
    // The second input of Reverse is a boolean vector.
    // True elements correspond the axes along which
    // elements of the input tensor are reversed
    default_op_checks(node, 2, {"Reverse"});
    auto input = node.get_input(0);

    std::vector<bool> dims;
    get_const_input(node, 1, &dims);

    // collect axes along which to reverse
    std::vector<int64_t> axes;
    for (int64_t ind = 0; ind < static_cast<int64_t>(dims.size()); ++ind) {
        if (dims[ind]) {
            axes.push_back(ind);
        }
    }

    return translate_reverse_base_op(node, input, axes);
}

OutputVector translate_reverse_v2_op(const NodeContext& node) {
    // The second input of ReverseV2 is a vector of axes along which
    // elements of the input tensor are reversed
    default_op_checks(node, 2, {"ReverseV2", "REVERSE_V2"});
    auto input = node.get_input(0);

    // the translator is able to convert ReverseV2 only
    // if axis is constant and has one element.
    // this limitation is due to the presence of batch_axis and seq_axis attributes.
    // the current limitation is sufficient for parity with Legacy MO frontend.
    std::vector<int64_t> axes;
    get_const_input(node, 1, &axes);

    return translate_reverse_base_op(node, input, axes);
}
}  // namespace op
}  // namespace tensorflow
}  // namespace frontend
}  // namespace ov
