# Copyright (c) 2021, NVIDIA CORPORATION.  All rights reserved.
# Copyright 2015 and onwards Google, Inc.
#
# 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 logging
import os
import string
from pathlib import Path
from typing import Dict

import pynini
from nemo_text_processing.text_normalization.en.utils import get_abs_path, load_labels
from pynini import Far
from pynini.examples import plurals
from pynini.export import export
from pynini.lib import byte, pynutil, utf8

NEMO_CHAR = utf8.VALID_UTF8_CHAR

NEMO_DIGIT = byte.DIGIT
NEMO_LOWER = pynini.union(*string.ascii_lowercase).optimize()
NEMO_UPPER = pynini.union(*string.ascii_uppercase).optimize()
NEMO_ALPHA = pynini.union(NEMO_LOWER, NEMO_UPPER).optimize()
NEMO_ALNUM = pynini.union(NEMO_DIGIT, NEMO_ALPHA).optimize()
NEMO_HEX = pynini.union(*string.hexdigits).optimize()
NEMO_NON_BREAKING_SPACE = u"\u00A0"
NEMO_SPACE = " "
NEMO_WHITE_SPACE = pynini.union(" ", "\t", "\n", "\r", u"\u00A0").optimize()
NEMO_NOT_SPACE = pynini.difference(NEMO_CHAR, NEMO_WHITE_SPACE).optimize()
NEMO_NOT_QUOTE = pynini.difference(NEMO_CHAR, r'"').optimize()

NEMO_PUNCT = pynini.union(*map(pynini.escape, string.punctuation)).optimize()
NEMO_GRAPH = pynini.union(NEMO_ALNUM, NEMO_PUNCT).optimize()

NEMO_SIGMA = pynini.closure(NEMO_CHAR)
NEMO_LOWER_NOT_A = pynini.union(
    "b",
    "c",
    "d",
    "e",
    "f",
    "g",
    "h",
    "i",
    "j",
    "k",
    "l",
    "m",
    "n",
    "o",
    "p",
    "q",
    "r",
    "s",
    "t",
    "u",
    "v",
    "w",
    "x",
    "y",
    "z",
).optimize()

delete_space = pynutil.delete(pynini.closure(NEMO_WHITE_SPACE))
delete_zero_or_one_space = pynutil.delete(pynini.closure(NEMO_WHITE_SPACE, 0, 1))
insert_space = pynutil.insert(" ")
delete_extra_space = pynini.cross(pynini.closure(NEMO_WHITE_SPACE, 1), " ")
delete_preserve_order = pynini.closure(
    pynutil.delete(" preserve_order: true")
    | (pynutil.delete(" field_order: \"") + NEMO_NOT_QUOTE + pynutil.delete("\""))
)

suppletive = pynini.string_file(get_abs_path("data/suppletive.tsv"))
# _v = pynini.union("a", "e", "i", "o", "u")
_c = pynini.union(
    "b", "c", "d", "f", "g", "h", "j", "k", "l", "m", "n", "p", "q", "r", "s", "t", "v", "w", "x", "y", "z"
)
_ies = NEMO_SIGMA + _c + pynini.cross("y", "ies")
_es = NEMO_SIGMA + pynini.union("s", "sh", "ch", "x", "z") + pynutil.insert("es")
_s = NEMO_SIGMA + pynutil.insert("s")

graph_plural = plurals._priority_union(
    suppletive, plurals._priority_union(_ies, plurals._priority_union(_es, _s, NEMO_SIGMA), NEMO_SIGMA), NEMO_SIGMA
).optimize()

SINGULAR_TO_PLURAL = graph_plural
PLURAL_TO_SINGULAR = pynini.invert(graph_plural)
TO_LOWER = pynini.union(*[pynini.cross(x, y) for x, y in zip(string.ascii_uppercase, string.ascii_lowercase)])
TO_UPPER = pynini.invert(TO_LOWER)
MIN_NEG_WEIGHT = -0.0001
MIN_POS_WEIGHT = 0.0001
INPUT_CASED = "cased"
INPUT_LOWER_CASED = "lower_cased"
MINUS = pynini.union("minus", "Minus").optimize()


def capitalized_input_graph(
    graph: 'pynini.FstLike', original_graph_weight: float = None, capitalized_graph_weight: float = None
) -> 'pynini.FstLike':
    """
    Allow graph input to be capitalized, e.g. for ITN)

    Args:
        graph: FstGraph
        original_graph_weight: weight to add to the original `graph`
        capitalized_graph_weight: weight to add to the capitalized graph
    """
    capitalized_graph = pynini.compose(TO_LOWER + NEMO_SIGMA, graph).optimize()

    if original_graph_weight is not None:
        graph = pynutil.add_weight(graph, weight=original_graph_weight)

    if capitalized_graph_weight is not None:
        capitalized_graph = pynutil.add_weight(capitalized_graph, weight=capitalized_graph_weight)

    graph |= capitalized_graph
    return graph


def generator_main(file_name: str, graphs: Dict[str, 'pynini.FstLike']):
    """
    Exports graph as OpenFst finite state archive (FAR) file with given file name and rule name.

    Args:
        file_name: exported file name
        graphs: Mapping of a rule name and Pynini WFST graph to be exported
    """
    exporter = export.Exporter(file_name)
    for rule, graph in graphs.items():
        exporter[rule] = graph.optimize()
    exporter.close()
    logging.info(f'Created {file_name}')


def get_plurals(fst):
    """
    Given singular returns plurals

    Args:
        fst: Fst

    Returns plurals to given singular forms
    """
    return SINGULAR_TO_PLURAL @ fst


def get_singulars(fst):
    """
    Given plural returns singulars

    Args:
        fst: Fst

    Returns singulars to given plural forms
    """
    return PLURAL_TO_SINGULAR @ fst


def convert_space(fst) -> 'pynini.FstLike':
    """
    Converts space to nonbreaking space.
    Used only in tagger grammars for transducing token values within quotes, e.g. name: "hello kitty"
    This is making transducer significantly slower, so only use when there could be potential spaces within quotes, otherwise leave it.

    Args:
        fst: input fst

    Returns output fst where breaking spaces are converted to non breaking spaces
    """
    return fst @ pynini.cdrewrite(pynini.cross(NEMO_SPACE, NEMO_NON_BREAKING_SPACE), "", "", NEMO_SIGMA)


def string_map_cased(input_file: str, input_case: str = INPUT_LOWER_CASED):
    labels = load_labels(input_file)

    if input_case == INPUT_CASED:
        additional_labels = []
        for written, spoken, *weight in labels:
            written_capitalized = written[0].upper() + written[1:]
            additional_labels.extend(
                [
                    [written_capitalized, spoken.capitalize()],  # first letter capitalized
                    [
                        written_capitalized,
                        spoken.upper().replace(" AND ", " and "),
                    ],  # # add pairs with the all letters capitalized
                ]
            )

            spoken_no_space = spoken.replace(" ", "")
            # add abbreviations without spaces (both lower and upper case), i.e. "BMW" not "B M W"
            if len(spoken) == (2 * len(spoken_no_space) - 1):
                logging.debug(f"This is weight {weight}")
                if len(weight) == 0:
                    additional_labels.extend(
                        [[written, spoken_no_space], [written_capitalized, spoken_no_space.upper()]]
                    )
                else:
                    additional_labels.extend(
                        [
                            [written, spoken_no_space, weight[0]],
                            [written_capitalized, spoken_no_space.upper(), weight[0]],
                        ]
                    )
        labels += additional_labels

    whitelist = pynini.string_map(labels).invert().optimize()
    return whitelist


class GraphFst:
    """
    Base class for all grammar fsts.

    Args:
        name: name of grammar class
        kind: either 'classify' or 'verbalize'
        deterministic: if True will provide a single transduction option,
            for False multiple transduction are generated (used for audio-based normalization)
    """

    def __init__(self, name: str, kind: str, deterministic: bool = True):
        self.name = name
        self.kind = kind
        self._fst = None
        self.deterministic = deterministic

        self.far_path = Path(os.path.dirname(__file__) + '/grammars/' + kind + '/' + name + '.far')
        if self.far_exist():
            self._fst = Far(self.far_path, mode="r", arc_type="standard", far_type="default").get_fst()

    def far_exist(self) -> bool:
        """
        Returns true if FAR can be loaded
        """
        return self.far_path.exists()

    @property
    def fst(self) -> 'pynini.FstLike':
        return self._fst

    @fst.setter
    def fst(self, fst):
        self._fst = fst

    def add_tokens(self, fst) -> 'pynini.FstLike':
        """
        Wraps class name around to given fst

        Args:
            fst: input fst

        Returns:
            Fst: fst
        """
        return pynutil.insert(f"{self.name} {{ ") + fst + pynutil.insert(" }")

    def delete_tokens(self, fst) -> 'pynini.FstLike':
        """
        Deletes class name wrap around output of given fst

        Args:
            fst: input fst

        Returns:
            Fst: fst
        """
        res = (
            pynutil.delete(f"{self.name}")
            + delete_space
            + pynutil.delete("{")
            + delete_space
            + fst
            + delete_space
            + pynutil.delete("}")
        )
        return res @ pynini.cdrewrite(pynini.cross(u"\u00A0", " "), "", "", NEMO_SIGMA)
