# !/usr/bin/env python3
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
"""
Utilities to help process files containing kernel registrations.
"""

import os
import pathlib
import sys
import typing

from logger import get_logger

log = get_logger("op_registration_utils")


def map_ort_constant_to_domain(ort_constant_name: str, allow_unknown_constant: bool = True):
    """
    Map the name of the internal ONNX Runtime constant used in operator kernel registrations to the domain name
    used in ONNX models and configuration files.
    :param ort_constant_name: ONNX Runtime constant name for the domain from a kernel registration entry.
    :param allow_unknown_constant: Whether an unknown constant is allowed or treated as an error.
    :return: String with public domain name.
    """

    # constants are defined in <ORT root>/include/onnxruntime/core/graph/constants.h
    constant_to_domain_map = {
        "kOnnxDomain": "ai.onnx",
        "kMLDomain": "ai.onnx.ml",
        "kMSDomain": "com.microsoft",
        "kPytorchAtenDomain": "org.pytorch.aten",
        "kMSExperimentalDomain": "com.microsoft.experimental",
        "kMSNchwcDomain": "com.microsoft.nchwc",
        "kMSInternalNHWCDomain": "com.ms.internal.nhwc",
        "kMSDmlDomain": "com.microsoft.dml",
        "kNGraphDomain": "com.intel.ai",
        "kVitisAIDomain": "com.xilinx",
    }

    if ort_constant_name in constant_to_domain_map:
        return constant_to_domain_map[ort_constant_name]

    unknown_constant_message = f"Unknown domain for ONNX Runtime constant of {ort_constant_name}."
    if not allow_unknown_constant:
        raise ValueError(unknown_constant_message)

    log.warning(unknown_constant_message)
    return None


def get_kernel_registration_files(ort_root=None, include_cuda=False):
    """
    Return paths to files containing kernel registrations for CPU and CUDA providers.
    :param ort_root: ORT repository root directory. Inferred from the location of this script if not provided.
    :param include_cuda: Include the CUDA registrations in the list of files.
    :return: list[str] containing the kernel registration filenames.
    """

    if not ort_root:
        ort_root = os.path.dirname(os.path.abspath(__file__)) + "/../.."

    provider_path = ort_root + "/onnxruntime/core/providers/{ep}/{ep}_execution_provider.cc"
    contrib_provider_path = ort_root + "/onnxruntime/contrib_ops/{ep}/{ep}_contrib_kernels.cc"
    training_provider_path = ort_root + "/orttraining/orttraining/training_ops/{ep}/{ep}_training_kernels.cc"
    provider_paths = [
        provider_path.format(ep="cpu"),
        contrib_provider_path.format(ep="cpu"),
        training_provider_path.format(ep="cpu"),
    ]

    if include_cuda:
        provider_paths.append(provider_path.format(ep="cuda"))
        provider_paths.append(contrib_provider_path.format(ep="cuda"))
        provider_paths.append(training_provider_path.format(ep="cuda"))

    provider_paths = [os.path.abspath(p) for p in provider_paths]

    return provider_paths


class RegistrationProcessor:
    """
    Class to process lines that are extracted from a kernel registration file.
    For each kernel registration, process_registration is called.
    For all other lines, process_other_line is called.
    """

    def process_registration(
        self,
        lines: typing.List[str],
        domain: str,
        operator: str,
        start_version: int,
        end_version: typing.Optional[int] = None,
        type: typing.Optional[str] = None,
    ):
        """
        Process lines that contain a kernel registration.
        :param lines: Array containing the original lines containing the kernel registration.
        :param domain: Domain for the operator
        :param operator: Operator type
        :param start_version: Start version
        :param end_version: End version or None if unversioned registration
        :param type: Type or types used in registration, if this is a typed registration
        """
        pass

    def process_other_line(self, line):
        """
        Process a line that does not contain a kernel registration
        :param line: Original line
        """
        pass

    def ok(self):
        """
        Get overall status for processing
        :return: True if successful. False if not. Error will be logged as the registrations are processed.
        """
        return False  # return False as the derived class must override to report the real status


def _process_lines(lines: typing.List[str], offset: int, registration_processor: RegistrationProcessor):
    """
    Process one or more lines that contain a kernel registration.
    Merge lines if split over multiple, and call registration_processor.process_registration with the original lines
    and the registration information.
    :return: Offset for first line that was not consumed.
    """

    onnx_op = "ONNX_OPERATOR_KERNEL_CLASS_NAME"
    onnx_op_len = len(onnx_op)
    onnx_typed_op = "ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME"
    onnx_typed_op_len = len(onnx_typed_op)
    onnx_versioned_op = "ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME"
    onnx_versioned_op_len = len(onnx_versioned_op)
    onnx_versioned_typed_op = "ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME"
    onnx_versioned_typed_op_len = len(onnx_versioned_typed_op)
    onnx_two_typed_op = "ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME"
    onnx_two_typed_op_len = len(onnx_two_typed_op)
    onnx_versioned_two_typed_op = "ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME"
    onnx_versioned_two_typed_op_len = len(onnx_versioned_two_typed_op)
    end_marks = tuple([");", ")>", ")>,", ")>,};", ")>};"])

    end_mark = ""
    lines_to_process = []

    # merge line if split over multiple.
    # original lines will be in lines_to_process. merged and stripped line will be in code_line
    while True:
        lines_to_process.append(lines[offset])
        stripped = lines[offset].strip()
        line_end = False

        for mark in end_marks:
            if stripped.endswith(mark):
                end_mark = mark
                line_end = True
                break

        if line_end:
            break

        offset += 1
        if offset > len(lines):
            log.error("Past end of input lines looking for line terminator.")
            sys.exit(-1)

    code_line = "".join([line.strip() for line in lines_to_process])

    if onnx_op in code_line:
        # e.g. BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(
        #          kCpuExecutionProvider, kOnnxDomain, 7, Cos)>,
        trim_at = code_line.index(onnx_op) + onnx_op_len + 1
        *_, domain, start_version, op_type = (arg.strip() for arg in code_line[trim_at : -len(end_mark)].split(","))

        registration_processor.process_registration(lines_to_process, domain, op_type, int(start_version), None, None)

    elif onnx_typed_op in code_line:
        # e.g. BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(
        #          kCpuExecutionProvider, kOnnxDomain, 7, double, Sin)>,
        trim_at = code_line.index(onnx_typed_op) + onnx_typed_op_len + 1
        *_, domain, start_version, type, op_type = (
            arg.strip() for arg in code_line[trim_at : -len(end_mark)].split(",")
        )
        registration_processor.process_registration(lines_to_process, domain, op_type, int(start_version), None, type)

    elif onnx_versioned_op in code_line:
        # e.g. BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(
        #          kCpuExecutionProvider, kOnnxDomain, 1, 10, Hardmax)>,
        trim_at = code_line.index(onnx_versioned_op) + onnx_versioned_op_len + 1
        *_, domain, start_version, end_version, op_type = (
            arg.strip() for arg in code_line[trim_at : -len(end_mark)].split(",")
        )
        registration_processor.process_registration(
            lines_to_process, domain, op_type, int(start_version), int(end_version), None
        )

    elif onnx_versioned_typed_op in code_line:
        # e.g. BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(
        #          kCpuExecutionProvider, kOnnxDomain, 1, 10, float, LogSoftmax)>,
        trim_at = code_line.index(onnx_versioned_typed_op) + onnx_versioned_typed_op_len + 1
        *_, domain, start_version, end_version, type, op_type = (
            arg.strip() for arg in code_line[trim_at : -len(end_mark)].split(",")
        )
        registration_processor.process_registration(
            lines_to_process, domain, op_type, int(start_version), int(end_version), type
        )

    elif onnx_two_typed_op in code_line:
        # e.g. BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(
        #          kCpuExecutionProvider, kOnnxDomain, 19, float, uint8, QuantizeLinear)>,
        trim_at = code_line.index(onnx_two_typed_op) + onnx_two_typed_op_len + 1
        *_, domain, start_version, type1, type2, op_type = (
            arg.strip() for arg in code_line[trim_at : -len(end_mark)].split(",")
        )
        registration_processor.process_registration(
            lines_to_process, domain, op_type, int(start_version), None, type1 + ", " + type2
        )

    elif onnx_versioned_two_typed_op in code_line:
        # e.g. BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(
        #          kCpuExecutionProvider, kOnnxDomain, 19, float, uint8, QuantizeLinear)>,
        trim_at = code_line.index(onnx_versioned_two_typed_op) + onnx_versioned_two_typed_op_len + 1
        *_, domain, start_version, end_version, type1, type2, op_type = (
            arg.strip() for arg in code_line[trim_at : -len(end_mark)].split(",")
        )
        registration_processor.process_registration(
            lines_to_process, domain, op_type, int(start_version), int(end_version), type1 + ", " + type2
        )

    else:
        log.warning(f"Ignoring unhandled kernel registration variant: {code_line}")
        for line in lines_to_process:
            registration_processor.process_other_line(line)

    return offset + 1


def process_kernel_registration_file(
    filename: typing.Union[str, pathlib.Path], registration_processor: RegistrationProcessor
):
    """
    Process a kernel registration file using registration_processor.
    :param filename: Path to file containing kernel registrations.
    :param registration_processor: Processor to be used.
    :return True if processing was successful.
    """

    if not os.path.isfile(filename):
        log.error(f"File not found: {filename}")
        return False

    lines = []
    with open(filename) as file_to_read:
        lines = file_to_read.readlines()

    offset = 0
    while offset < len(lines):
        line = lines[offset]
        stripped = line.strip()

        if stripped.startswith("BuildKernelCreateInfo<ONNX"):
            offset = _process_lines(lines, offset, registration_processor)
        else:
            registration_processor.process_other_line(line)
            offset += 1

    return True
