#   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 re
from typing import Type, Any, Generator, Tuple

from pydantic import BaseModel

from codegenerator.common import BasePrimitiveType
from codegenerator.common import BaseCombinedType
from codegenerator.common import BaseCompoundType
from codegenerator import model
from codegenerator import common

CODEBLOCK_RE = re.compile(r"```(\w*)$")


BASIC_FIELDS = [
    "id",
    "name",
    "title",
    "created_at",
    "updated_at",
    "uuid",
    "state",
    "status",
    "operating_status",
]


class Boolean(BasePrimitiveType):
    """Basic Boolean"""

    type_hint: str = "bool"
    imports: set[str] = set()
    clap_macros: set[str] = {"action=clap::ArgAction::Set"}
    original_data_type: BaseCompoundType | BaseCompoundType | None = None

    def get_sample(self):
        return "false"

    def get_sdk_setter(
        self, source_var_name: str, sdk_mod_path: str, into: bool = False
    ) -> str:
        if into:
            return f"*{source_var_name}"
        else:
            return f"*{source_var_name}"


class Number(BasePrimitiveType):
    format: str | None = None
    imports: set[str] = set()
    clap_macros: set[str] = set()
    original_data_type: BaseCompoundType | BaseCompoundType | None = None

    @property
    def type_hint(self):
        if self.format == "float":
            return "f32"
        elif self.format == "double":
            return "f64"
        else:
            return "f32"

    def get_sample(self):
        return "123"


class Integer(BasePrimitiveType):
    format: str | None = None
    imports: set[str] = set()
    clap_macros: set[str] = set()
    original_data_type: BaseCompoundType | BaseCompoundType | None = None

    @property
    def type_hint(self):
        if self.format == "int32":
            return "i32"
        elif self.format == "int64":
            return "i64"
        return "i32"

    def get_sample(self):
        return "123"


class Null(BasePrimitiveType):
    type_hint: str = "Value"
    imports: set[str] = {"serde_json::Value"}
    builder_macros: set[str] = set()
    clap_macros: set[str] = set()
    original_data_type: BaseCompoundType | BaseCompoundType | None = None

    def get_sample(self):
        return "Value::Null"


class String(BasePrimitiveType):
    format: str | None = None
    type_hint: str = "String"
    builder_macros: set[str] = {"setter(into)"}

    # NOTE(gtema): it is not possible to override field with computed
    # property, thus it must be a property here
    @property
    def imports(self) -> set[str]:
        return set()

    def get_sample(self):
        return '"foo"'


class SecretString(String):
    type_hint: str = "SecretString"

    @property
    def imports(self) -> set[str]:
        return {
            "secrecy::SecretString",
            "crate::api::common::serialize_sensitive_string",
            "crate::api::common::serialize_sensitive_optional_string",
        }


class JsonValue(BasePrimitiveType):
    type_hint: str = "Value"
    builder_macros: set[str] = {"setter(into)"}

    def get_sample(self):
        return "json!({})"

    @property
    def imports(self):
        imports: set[str] = {"serde_json::Value"}
        return imports


class Option(BaseCombinedType):
    base_type: str = "Option"
    item_type: BasePrimitiveType | BaseCombinedType | BaseCompoundType
    original_data_type: BaseCompoundType | BaseCompoundType | None = None

    @property
    def type_hint(self):
        return f"Option<{self.item_type.type_hint}>"

    @property
    def lifetimes(self):
        return self.item_type.lifetimes

    @property
    def imports(self):
        return self.item_type.imports

    @property
    def builder_macros(self):
        macros = {"setter(into)"}
        wrapped_macros = self.item_type.builder_macros
        if "private" in wrapped_macros:
            macros = wrapped_macros
        return macros

    @property
    def clap_macros(self):
        return self.item_type.clap_macros

    def get_sample(self):
        return self.item_type.get_sample()

    def get_sdk_setter(
        self, source_var_name: str, sdk_mod_path: str, into: bool = False
    ) -> str:
        if into:
            return f"{self.item_type.get_sdk_setter(source_var_name, sdk_mod_path, into=into)}"
        else:
            return f"{source_var_name}.clone().map(Into::into)"


class Array(BaseCombinedType):
    base_type: str = "vec"
    item_type: BasePrimitiveType | BaseCombinedType | BaseCompoundType

    @property
    def type_hint(self):
        return f"Vec<{self.item_type.type_hint}>"

    @property
    def lifetimes(self):
        return self.item_type.lifetimes

    @property
    def imports(self):
        return self.item_type.imports

    @property
    def builder_macros(self):
        if isinstance(self.item_type, Array):
            macros = {"private"}
        else:
            macros = {"setter(into)"}
        return macros

    def get_sample(self):
        return (
            "Vec::from(["
            + self.item_type.get_sample()
            + (".into()" if isinstance(self.item_type, String) else "")
            + "])"
        )

    @property
    def clap_macros(self) -> set[str]:
        return self.item_type.clap_macros

    @property
    def requires_builder_private_setter(self):
        if isinstance(self.item_type, Array):
            return True
        else:
            return False


class CommaSeparatedList(BaseCombinedType):
    item_type: BasePrimitiveType | BaseCombinedType | BaseCompoundType

    @property
    def type_hint(self):
        return f"CommaSeparatedList<{self.item_type.type_hint}>"

    @property
    def lifetimes(self):
        return self.item_type.lifetimes

    @property
    def imports(self):
        imports: set[str] = set()
        imports.update(self.item_type.imports)
        return imports

    @property
    def clap_macros(self) -> set[str]:
        return set()


class BTreeSet(BaseCombinedType):
    item_type: BasePrimitiveType | BaseCombinedType | BaseCompoundType
    builder_macros: set[str] = {"setter(into)"}

    @property
    def type_hint(self):
        return f"BTreeSet<{self.item_type.type_hint}>"

    @property
    def lifetimes(self):
        return self.item_type.lifetimes

    @property
    def imports(self):
        imports = self.item_type.imports
        imports.add("std::collections::BTreeSet")
        return imports


class Dictionary(BaseCompoundType):
    base_type: str = "dict"
    value_type: BasePrimitiveType | BaseCombinedType | BaseCompoundType

    @property
    def imports(self):
        imports: set[str] = {"std::collections::BTreeMap"}
        imports.update(self.value_type.imports)
        imports.add("structable::{StructTable, StructTableOptions}")
        return imports

    @property
    def type_hint(self):
        return f"BTreeMap<String, {self.value_type.type_hint}>"

    @property
    def lifetimes(self):
        return set()


class StructField(BaseModel):
    local_name: str
    remote_name: str
    _description: str | None = None
    data_type: BasePrimitiveType | BaseCombinedType | BaseCompoundType
    is_optional: bool = True
    is_nullable: bool = False

    def __init__(self, description: str | None = None, **data):
        super().__init__(**data)
        if description is not None:
            self._description = description

    @property
    def type_hint(self):
        typ_hint = self.data_type.type_hint
        if self.is_optional:
            typ_hint = f"Option<{typ_hint}>"
        return typ_hint

    @property
    def description(self):
        """Description getter necessary for being able to override the property"""
        return self._description


class Struct(BaseCompoundType):
    base_type: str = "struct"
    fields: dict[str, StructField] = {}
    field_type_class_: Type[StructField] | StructField = StructField
    additional_fields_type: (
        BasePrimitiveType | BaseCombinedType | BaseCompoundType | None
    ) = None
    pattern_properties: (
        BasePrimitiveType | BaseCombinedType | BaseCompoundType | None
    ) = None

    @property
    def type_hint(self):
        return self.name + (
            f"<{', '.join(self.lifetimes)}>" if self.lifetimes else ""
        )

    @property
    def imports(self):
        imports: set[str] = set()
        field_types = [x.data_type for x in self.fields.values()]
        if len(field_types) > 1 or (
            len(field_types) == 1
            and not isinstance(field_types[0], Null)
            and not isinstance(field_types[0], Dictionary)
            and not isinstance(field_types[0], Array)
        ):
            # We use structure only if it is not consisting from only Null
            imports.add("serde::Deserialize")
            imports.add("serde::Serialize")
        for field_type in field_types:
            imports.update(field_type.imports)
        if self.additional_fields_type:
            imports.add("std::collections::BTreeMap")
            imports.update(self.additional_fields_type.imports)
        return imports

    @property
    def lifetimes(self):
        lifetimes_: set[str] = set()
        for field in self.fields.values():
            if field.data_type.lifetimes:
                lifetimes_.update(field.data_type.lifetimes)
        return lifetimes_

    @property
    def clap_macros(self) -> set[str]:
        return set()


class StructFieldResponse(StructField):
    """Response Structure Field"""

    @property
    def type_hint(self):
        typ_hint = self.data_type.type_hint
        if self.is_optional and not typ_hint.startswith("Option<"):
            typ_hint = f"Option<{typ_hint}>"
        return typ_hint

    @property
    def serde_macros(self):
        macros = set()
        try:
            macros.update(self.data_type.get_serde_macros(self.is_optional))
        except Exception:
            pass
        if self.is_optional:
            macros.add("default")
        if self.local_name != self.remote_name:
            macros.add(f'rename="{self.remote_name}"')
        if len(macros) > 0:
            return f"#[serde({', '.join(sorted(macros))})]"
        return ""

    def get_structable_macros(
        self,
        struct: "StructResponse",
        service_name: str,
        resource_name: str,
        operation_type: str,
    ):
        macros = set()
        if self.is_optional or self.data_type.type_hint.startswith("Option<"):
            macros.add("optional")
        if self.local_name != self.remote_name:
            macros.add(f'title="{self.remote_name}"')
        # Fully Qualified Attribute Name
        fqan: str = ".".join(
            [service_name, resource_name, self.remote_name]
        ).lower()
        # Check the known alias of the field by FQAN
        alias = common.FQAN_ALIAS_MAP.get(fqan)
        if operation_type in ["list", "list_from_struct"]:
            if (
                "id" in struct.fields.keys()
                and not (
                    self.local_name in BASIC_FIELDS or alias in BASIC_FIELDS
                )
            ) or (
                "id" not in struct.fields.keys()
                and (self.local_name not in list(struct.fields.keys())[-10:])
                and not (
                    self.local_name in BASIC_FIELDS or alias in BASIC_FIELDS
                )
            ):
                # Only add "wide" flag if field is not in the basic fields AND
                # there is at least "id" field existing in the struct OR the
                # field is not in the first 10
                macros.add("wide")
            if (
                self.local_name == "state"
                and "status" not in struct.fields.keys()
            ):
                macros.add("status")
            elif (
                self.local_name == "operating_status"
                and "status" not in struct.fields.keys()
            ):
                macros.add("status")
        if not (
            # option of primitive
            isinstance(self.data_type, Option)
            and isinstance(self.data_type.item_type, BasePrimitiveType)
        ) and (
            # not primitive
            not isinstance(self.data_type, BasePrimitiveType)
            # or explicitly Json
            or isinstance(self.data_type, JsonValue)
        ):
            macros.add("serialize")
        return f"#[structable({', '.join(sorted(macros))})]"


class StructResponse(Struct):
    field_type_class_: Type[StructField] = StructFieldResponse

    @property
    def imports(self):
        imports: set[str] = {
            "serde::Deserialize",
            "serde::Serialize",
            "structable::{StructTable, StructTableOptions}",
        }
        for field in self.fields.values():
            imports.update(field.data_type.imports)
        # In difference to the SDK and Input we do not currently handle
        # additional_fields of the struct in response
        # if self.additional_fields_type:
        #     imports.add("std::collections::BTreeMap")
        #     imports.update(self.additional_fields_type.imports)
        return imports

    @property
    def static_lifetime(self):
        """Return Rust `<'lc>` lifetimes representation"""
        return f"<{', '.join(self.lifetimes)}>" if self.lifetimes else ""


class EnumKind(BaseModel):
    name: str
    description: str | None = None
    data_type: BasePrimitiveType | BaseCombinedType | BaseCompoundType

    @property
    def type_hint(self):
        if isinstance(self.data_type, Struct):
            return self.data_type.name + self.data_type.static_lifetime
        return self.data_type.type_hint

    @property
    def clap_macros(self) -> set[str]:
        return set()


class Enum(BaseCompoundType):
    base_type: str = "enum"
    kinds: dict[str, EnumKind]
    literals: list[Any] | None = None
    original_data_type: BaseCompoundType | BaseCompoundType | None = None
    _kind_type_class = EnumKind

    @property
    def derive_container_macros(self) -> str | None:
        return "#[derive(Debug, Deserialize, Clone, Serialize)]"

    @property
    def serde_container_macros(self) -> str | None:
        return None

    @property
    def type_hint(self):
        return self.name + (
            f"<{', '.join(self.lifetimes)}>" if self.lifetimes else ""
        )

    @property
    def imports(self):
        imports: set[str] = set()
        imports.add("serde::Deserialize")
        imports.add("serde::Serialize")
        for kind in self.kinds.values():
            imports.update(kind.data_type.imports)
        return imports

    @property
    def lifetimes(self):
        lifetimes_: set[str] = set()
        for kind in self.kinds.values():
            if kind.data_type.lifetimes:
                lifetimes_.update(kind.data_type.lifetimes)
        return lifetimes_

    @property
    def clap_macros(self) -> set[str]:
        return set()


class StringEnum(BaseCompoundType):
    base_type: str = "enum"
    variants: dict[str, set[str]] = {}
    imports: set[str] = {"serde::Deserialize", "serde::Serialize"}
    lifetimes: set[str] = set()
    builder_container_macros: str | None = None
    original_data_type: BaseCompoundType | BaseCompoundType | None = None
    allows_arbitrary_value: bool = False

    @property
    def derive_container_macros(self) -> str | None:
        return "#[derive(Debug, Deserialize, Clone, Serialize)]"

    @property
    def serde_container_macros(self) -> str | None:
        if self.allows_arbitrary_value:
            return "#[serde(untagged)]"
        return None

    @property
    def type_hint(self):
        """Get type hint"""
        return self.name

    @property
    def clap_macros(self) -> set[str]:
        """Return clap macros"""
        return set()

    @property
    def builder_macros(self) -> set[str]:
        """Return builder macros"""
        return set()

    def get_sample(self):
        """Generate sample data"""
        variant = sorted(self.variants.keys())[0]
        return f"{self.name}::{variant}"

    def variant_serde_macros(self, variant: str):
        """Return serde macros"""
        macros = set()
        vals = self.variants[variant]
        if len(vals) > 1:
            macros.add(f'rename(serialize = "{sorted(vals)[0]}")')
            for val in vals:
                macros.add(f'alias="{val}"')
        else:
            macros.add(f'rename = "{list(vals)[0]}"')
        return "#[serde(" + ", ".join(sorted(macros)) + ")]"


class HashMapResponse(Dictionary):
    """Wrapper around a simple dictionary to implement Display trait"""

    # name: str | None = None
    lifetimes: set[str] = set()

    @property
    def type_hint(self):
        return f"HashMapString{self.value_type.type_hint.replace('<', '').replace('>', '')}"

    @property
    def imports(self):
        imports = self.value_type.imports
        imports.add("std::collections::BTreeMap")
        imports.add("structable::{StructTable, StructTableOptions}")
        return imports


class TupleStruct(Struct):
    """Rust tuple struct without named fields"""

    base_type: str = "struct"
    tuple_fields: list[StructField] = []

    @property
    def imports(self):
        imports: set[str] = set()
        for field in self.tuple_fields:
            imports.update(field.data_type.imports)
        imports.add("structable::{StructTable, StructTableOptions}")
        return imports


class RequestParameter(BaseModel):
    """OpenAPI request parameter in the Rust SDK form"""

    remote_name: str
    local_name: str
    location: str
    data_type: BaseCombinedType | BasePrimitiveType | BaseCompoundType
    description: str | None = None
    is_required: bool = False
    is_flag: bool = False
    resource_link: str | None = None
    setter_name: str | None = None
    setter_type: str | None = None

    @property
    def type_hint(self):
        if not self.is_required and not isinstance(self.data_type, BTreeSet):
            return f"Option<{self.data_type.type_hint}>"
        return self.data_type.type_hint

    @property
    def lifetimes(self):
        return self.data_type.lifetimes


class TypeManager:
    """Rust type manager

    The class is responsible for converting ADT models into types suitable
    for Rust.
    """

    models: list = []
    refs: dict[
        model.Reference,
        BasePrimitiveType | BaseCombinedType | BaseCompoundType,
    ] = {}
    parameters: dict[str, Type[RequestParameter] | RequestParameter] = {}

    #: Base mapping of the primitive data-types
    base_primitive_type_mapping: dict[
        Type[model.PrimitiveType],
        Type[BasePrimitiveType] | Type[BaseCombinedType],
    ] = {
        model.PrimitiveString: String,
        model.ConstraintString: String,
        model.PrimitiveNumber: Number,
        model.ConstraintNumber: Number,
        model.ConstraintInteger: Integer,
        model.PrimitiveBoolean: Boolean,
        model.PrimitiveNull: Null,
        model.PrimitiveAny: JsonValue,
    }

    #: Extension for primitives data-type mapping
    primitive_type_mapping: dict[
        Type[model.PrimitiveType],
        Type[BasePrimitiveType] | Type[BaseCombinedType],
    ]

    #: Extensions of the data-type mapping
    data_type_mapping: dict[
        Type[model.ADT], Type[BaseCombinedType] | Type[BaseCompoundType]
    ]
    #: Base data-type mapping
    base_data_type_mapping: dict[
        Type[model.ADT], Type[BaseCombinedType] | Type[BaseCompoundType]
    ] = {
        model.Dictionary: Dictionary,
        model.Enum: Enum,
        model.Struct: Struct,
        model.Array: Array,
        model.CommaSeparatedList: CommaSeparatedList,
        model.Set: BTreeSet,
    }
    #: RequestParameter Type class
    request_parameter_class: Type[RequestParameter] = RequestParameter

    #: Option Type class
    option_type_class: Type[Option] | Option = Option
    #: StringEnum Type class
    string_enum_class: Type[StringEnum] | StringEnum = StringEnum

    #: List of the models to be ignored
    ignored_models: list[model.Reference] = []

    root_name: str | None = "Body"

    def __init__(self):
        self.models = []
        self.refs = {}
        self.parameters = {}

        # Set base mapping entries into the data_type_mapping
        for k, v in self.base_primitive_type_mapping.items():
            if k not in self.primitive_type_mapping:
                self.primitive_type_mapping[k] = v

        for k, v in self.base_data_type_mapping.items():
            if k not in self.data_type_mapping:
                self.data_type_mapping[k] = v

    def get_local_attribute_name(self, name: str) -> str:
        """Get localized attribute name"""
        name = name.replace(".", "_")
        attr_name = "_".join(
            x.lower() for x in re.split(common.SPLIT_NAME_RE, name)
        )
        if attr_name in ["type", "self", "enum", "ref", "default"]:
            attr_name = f"_{attr_name}"
        return attr_name

    def get_remote_attribute_name(self, name: str) -> str:
        """Get remote attribute name

        This method can be used on the client side to be able to override
        remote attribute name as a local name on the SDK side.
        """
        return name

    def get_model_name(self, model_ref: model.Reference | None) -> str:
        """Get the localized model type name"""
        if not model_ref:
            return "Request"
        name = "".join(
            x.capitalize()
            for x in re.split(common.SPLIT_NAME_RE, model_ref.name)
        )
        if name[0].isdigit():
            return "x" + name
        return name

    def _get_adt_by_reference(self, model_ref):
        for model_ in self.models:
            if model_.reference == model_ref:
                return model_
        raise RuntimeError(f"Cannot find reference {model_ref}")

    def convert_model(
        self, type_model: model.PrimitiveType | model.ADT | model.Reference
    ) -> BasePrimitiveType | BaseCombinedType | BaseCompoundType:
        """Get local destination type from the ModelType"""
        # logging.debug("Get RustSDK type for %s", type_model)
        typ: BasePrimitiveType | BaseCombinedType | BaseCompoundType | None = (
            None
        )
        model_ref: model.Reference | None = None
        if isinstance(type_model, model.Reference):
            model_ref = type_model
            type_model = self._get_adt_by_reference(type_model)
        elif isinstance(type_model, model.ADT):
            # Direct composite type
            model_ref = type_model.reference
        else:
            # Primitive
            xtyp = self.primitive_type_mapping.get(type_model.__class__)
            if not xtyp:
                raise RuntimeError(f"No mapping for {type_model}")
            return xtyp(**type_model.model_dump())

        # Composite/Compound type
        if model_ref and model_ref in self.refs:
            return self.refs[model_ref]
        if isinstance(type_model, model.Array):
            typ = self._get_array_type(type_model)
        elif isinstance(type_model, model.Struct):
            typ = self._get_struct_type(type_model)
        elif isinstance(type_model, model.OneOfType):
            typ = self._get_one_of_type(type_model)
        elif isinstance(type_model, model.Dictionary):
            typ = self.data_type_mapping[model.Dictionary](
                name=self.get_model_name(type_model.reference),
                value_type=self.convert_model(type_model.value_type),
            )
        elif isinstance(type_model, model.CommaSeparatedList):
            typ = self.data_type_mapping[model.CommaSeparatedList](
                item_type=self.convert_model(type_model.item_type)
            )
        elif isinstance(type_model, model.Set):
            typ = self.data_type_mapping[model.Set](
                item_type=self.convert_model(type_model.item_type)
            )
        elif isinstance(type_model, model.Enum):
            if len(type_model.base_types) > 1:
                if model.PrimitiveBoolean in type_model.base_types:
                    # enum literals supporting also bools are most likely
                    # bool + string -> just keep bool on the Rust side
                    typ = Boolean()
                else:
                    raise RuntimeError(
                        "Rust model does not support multitype enums yet"
                        f" {type_model}"
                    )
            elif len(type_model.base_types) == 1:
                base_type = type_model.base_types[0]
                if base_type is model.ConstraintString:
                    variants: dict[str, set[str]] = {}
                    try:
                        if None in type_model.literals:
                            # TODO(gtema): make parent nullable or add "null"
                            # as enum value
                            type_model.literals.remove(None)
                        for lit in {x.lower() for x in type_model.literals}:
                            val = "".join(
                                [
                                    x.capitalize()
                                    for x in re.split(
                                        common.SPLIT_NAME_RE, lit
                                    )
                                ]
                            )
                            if val and val[0].isdigit():
                                val = "_" + val
                            vals = variants.setdefault(val, set())
                            for orig_val in type_model.literals:
                                if orig_val.lower() == lit:
                                    vals.add(orig_val)

                        typ = self.string_enum_class(
                            name=self.get_model_name(type_model.reference),
                            variants=variants,
                        )
                    except Exception:
                        logging.exception(
                            "Error processing enum: %s", type_model
                        )
                elif base_type is model.ConstraintInteger:
                    typ = self.primitive_type_mapping[
                        model.ConstraintInteger
                    ]()
                elif base_type is model.ConstraintNumber:
                    typ = self.primitive_type_mapping[model.ConstraintNumber]()
                elif base_type is model.PrimitiveBoolean:
                    typ = self.primitive_type_mapping[model.PrimitiveBoolean]()

        if not typ:
            raise RuntimeError(
                f"Cannot map model type {type_model.__class__.__name__} to"
                f" Rust type [{type_model}]"
            )

        if not model_ref:
            model_ref = model.Reference(
                name=self.root_name, type=typ.__class__
            )
        self.refs[model_ref] = typ
        return typ

    def _get_array_type(self, type_model: model.Array) -> Array:
        """Convert `model.Array` into corresponding Rust SDK model"""
        return self.data_type_mapping[model.Array](
            name=self.get_model_name(type_model.reference),
            item_type=self.convert_model(type_model.item_type),
        )

    def _get_one_of_type(
        self, type_model: model.OneOfType
    ) -> BaseCompoundType | BaseCombinedType | BasePrimitiveType:
        """Convert `model.OneOfType` into Rust model"""
        kinds: list[dict] = []
        is_nullable: bool = False
        result_data_type = None
        for kind in type_model.kinds:
            if isinstance(kind, model.PrimitiveNull):
                # Remove null from candidates and instead wrap with Option
                is_nullable = True
                continue
            kind_type = self.convert_model(kind)
            is_type_already_present = False
            for processed_kind_type in kinds:
                if (
                    isinstance(kind_type, BasePrimitiveType)
                    and processed_kind_type["local"] == kind_type
                ):
                    logging.debug(
                        "Simplifying oneOf with same mapped type %s [%s]",
                        kind,
                        type_model,
                    )
                    is_type_already_present = True
                    break
            if not is_type_already_present:
                kinds.append(
                    {
                        "model": kind,
                        "local": kind_type,
                        "class": kind_type.__class__,
                    }
                )

        # Simplify certain oneOf combinations
        self._simplify_oneof_combinations(type_model, kinds)

        if len(kinds) == 2:
            list_type = [
                x["local"]
                for x in kinds
                if x["class"] == self.data_type_mapping[model.Array]
            ]
            if list_type:
                lt: BaseCombinedType = list_type[0]
                # Typ + list[Typ] => Vec<Typ>
                item_type = [
                    x["local"]
                    for x in kinds
                    if x["class"] != self.data_type_mapping[model.Array]
                ][0]
                if item_type.__class__ == lt.item_type.__class__:
                    result_data_type = self.data_type_mapping[model.Array](
                        item_type=item_type,
                        description=sanitize_rust_docstrings(
                            type_model.description
                        ),
                    )
                    # logging.debug("Replacing Typ + list[Typ] with list[Typ]")
        elif len(kinds) == 1:
            result_data_type = kinds[0]["local"]

        if not result_data_type:
            enum_class = self.data_type_mapping[model.Enum]
            result_data_type = enum_class(
                name=self.get_model_name(type_model.reference), kinds={}
            )
            cnt: int = 0
            for kind_data in kinds:
                cnt += 1
                kind_data_type = kind_data["local"]
                kind_description: str | None = None
                if isinstance(kind_data["model"], model.ADT):
                    kind_name = self.get_model_name(kind_data["model"])
                    kind_description = kind_data["model"].description
                else:
                    kind_name = f"F{cnt}"
                enum_kind = enum_class._kind_type_class(
                    name=kind_name,
                    description=sanitize_rust_docstrings(kind_description),
                    data_type=kind_data_type,
                )
                result_data_type.kinds[enum_kind.name] = enum_kind

        if is_nullable:
            result_data_type = self.option_type_class(
                item_type=result_data_type
            )

        return result_data_type

    def _get_struct_type(self, type_model: model.Struct) -> Struct:
        """Convert model.Struct into Rust `Struct`"""
        struct_class = self.data_type_mapping[model.Struct]
        mod = struct_class(
            name=self.get_model_name(type_model.reference),
            description=sanitize_rust_docstrings(type_model.description),
        )
        field_class = mod.field_type_class_
        for field_name, field in type_model.fields.items():
            is_nullable: bool = False
            field_data_type = self.convert_model(field.data_type)
            if isinstance(field_data_type, self.option_type_class):
                # Unwrap Option into "is_nullable" NOTE: but perhaps
                # Option<Option> is better (not set vs set explicitly to None
                # )
                is_nullable = True
                if isinstance(field_data_type.item_type, Array):
                    # Unwrap Option<Option<Vec...>>
                    field_data_type = field_data_type.item_type
            f = field_class(
                local_name=self.get_local_attribute_name(field_name),
                remote_name=self.get_remote_attribute_name(field_name),
                description=sanitize_rust_docstrings(field.description),
                data_type=field_data_type,
                is_optional=not field.is_required,
                is_nullable=is_nullable,
            )
            mod.fields[field_name] = f
        if type_model.additional_fields:
            definition = type_model.additional_fields
            # Structure allows additional fields
            if isinstance(definition, bool):
                mod.additional_fields_type = self.primitive_type_mapping[
                    model.PrimitiveAny
                ]
            else:
                mod.additional_fields_type = self.convert_model(definition)
        return mod

    def _simplify_oneof_combinations(self, type_model, kinds):
        """Simplify certain known oneOf combinations"""
        kinds_classes = [x["class"] for x in kinds]
        string_klass = self.primitive_type_mapping[model.ConstraintString]
        number_klass = self.primitive_type_mapping[model.ConstraintNumber]
        integer_klass = self.primitive_type_mapping[model.ConstraintInteger]
        boolean_klass = self.primitive_type_mapping[model.PrimitiveBoolean]
        dict_klass = self.data_type_mapping[model.Dictionary]
        option_klass = self.option_type_class
        enum_name = type_model.reference.name if type_model.reference else None
        if string_klass in kinds_classes and number_klass in kinds_classes:
            # oneOf [string, number] => string
            for typ in list(kinds):
                if typ["class"] == number_klass:
                    kinds.remove(typ)
        elif string_klass in kinds_classes and integer_klass in kinds_classes:
            int_klass = next(
                x
                for x in type_model.kinds
                if isinstance(x, model.ConstraintInteger)
            )
            if (
                # XX_size or XX_count is clearly an integer
                (
                    enum_name
                    and (
                        enum_name.endswith("size")
                        or enum_name.endswith("count")
                    )
                )
                # There is certain limit (min/max) - it can be only integer
                or (
                    int_klass
                    and (
                        int_klass.minimum is not None
                        or int_klass.maximum is not None
                    )
                )
            ):
                for typ in list(kinds):
                    if typ["class"] == string_klass:
                        kinds.remove(typ)
            else:
                # oneOf [string, integer] => string
                # Reason: compute.server.flavorRef is string or integer. For
                # simplicity keep string
                for typ in list(kinds):
                    if typ["class"] == integer_klass:
                        kinds.remove(typ)
        elif string_klass in kinds_classes and boolean_klass in kinds_classes:
            # oneOf [string, boolean] => boolean
            for typ in list(kinds):
                if typ["class"] == string_klass:
                    kinds.remove(typ)
        elif string_klass in kinds_classes and dict_klass in kinds_classes:
            # oneOf [string, dummy object] => JsonValue
            # Simple string can be easily represented by JsonValue
            for c in kinds:
                # Discard dict
                self.ignored_models.append(c["model"])
            kinds.clear()
            jsonval_klass = self.primitive_type_mapping[model.PrimitiveAny]
            kinds.append({"local": jsonval_klass(), "class": jsonval_klass})
        elif len(set(kinds_classes)) == 1 and string_klass in kinds_classes:
            # in the output oneOf of same type (but maybe different formats)
            # makes no sense
            # Example is server addresses which are ipv4 or ipv6
            bck = kinds[0].copy()
            kinds.clear()
            kinds.append(bck)
        elif (
            self.string_enum_class in kinds_classes
            and option_klass in kinds_classes
        ):
            option = next(x for x in kinds if isinstance(x["local"], Option))
            enum = next(x for x in kinds if isinstance(x["local"], StringEnum))
            if option and isinstance(option["local"].item_type, String):
                enum["local"].allows_arbitrary_value = True
                kinds.remove(option)

    def set_models(self, models):
        """Process (translate) ADT models into Rust models"""
        self.models = models
        self.refs = {}
        self.ignored_models = []
        # A dictionary of model names to references to assign unique names
        unique_models: dict[str, model.Reference] = {}
        # iterate over all incoming models
        for model_ in models:
            # convert ADT based model into rust saving the result under self.refs
            model_data_type = self.convert_model(model_)
            # post process conversion results
            if not isinstance(model_data_type, BaseCompoundType):
                continue
            name = getattr(model_data_type, "name", None)
            if (
                name
                and model_.reference
                and (
                    (
                        name in unique_models
                        and (
                            unique_models[name].hash_ != model_.reference.hash_
                            # maybe we previously decided to rename it
                            or self.refs[unique_models[name]].name != name
                        )
                    )
                    or name == self.root_name
                )
            ):
                # There is already a model with this name (i.e.
                # SessionPersistence.type vs HealthMonitor.type).
                if model_.reference and model_.reference.parent:
                    # Try adding parent_name as prefix
                    new_name = (
                        "".join(
                            x.title()
                            for x in model_.reference.parent.name.split("_")
                        )
                        + name
                    )
                else:
                    # Try adding suffix from datatype name
                    new_name = name + model_data_type.__class__.__name__
                logging.debug(f"try renaming {name} to {new_name}")

                if new_name not in unique_models:
                    # New name is still unused
                    model_data_type.name = new_name
                    self.refs[model_.reference].name = new_name
                    unique_models[new_name] = model_.reference
                    # rename original model to the same naming scheme
                    other_model = unique_models.get(name)
                    # Rename all other already processed models with name type and hash matching current model or the other model
                    for ref, some_model in self.refs.items():
                        if (
                            hasattr(some_model, "name")
                            and some_model.name == name
                        ):
                            if (
                                ref.type == model_.reference.type
                                and ref.parent
                                and ref.parent.name
                                and (
                                    (
                                        other_model
                                        and ref.hash_ == other_model.hash_
                                    )
                                    or ref.hash_ == model_.reference.hash_
                                )
                            ):
                                new_other_name = (
                                    "".join(
                                        x.title()
                                        for x in ref.parent.name.split("_")
                                    )
                                    + name
                                )
                                some_model.name = new_other_name
                                unique_models[new_other_name] = some_model
                                logging.debug(
                                    f"Renaming also {some_model} into"
                                    f" {new_other_name} for consistency"
                                )

                else:
                    if model_.reference.hash_ == unique_models[new_name].hash_:
                        if name != self.refs[unique_models[name]].name:
                            logging.debug(
                                "Found that same model"
                                f" {model_.reference} that we previously"
                                " renamed to"
                                f" {self.refs[unique_models[name]].name}"
                            )
                            pass
                        # not sure whether the new name should be save
                        # somewhere to be properly used in cli
                        # self.ignored_models.append(model_.reference)
                    elif isinstance(model_data_type, Struct):
                        # This is already an exceptional case (identity.mapping
                        # with remote being oneOf with multiple structs)
                        # Try to make a name consisting of props
                        props = model_data_type.fields.keys()
                        new_new_name = name + "".join(
                            x.title() for x in props
                        ).replace("_", "")
                        if new_new_name not in unique_models:
                            for other_ref, other_model in self.refs.items():
                                other_name = getattr(other_model, "name", None)
                                if not other_name:
                                    continue
                                if other_name in [
                                    name,
                                    new_name,
                                ] and isinstance(other_model, Struct):
                                    # rename first occurence to the same scheme
                                    props = other_model.fields.keys()
                                    new_other_name = name + "".join(
                                        x.title() for x in props
                                    ).replace("_", "")
                                    other_model.name = new_other_name
                                    unique_models[new_other_name] = (
                                        model_.reference
                                    )
                                    # unique_models.pop(new_name, None)

                            model_data_type.name = new_new_name
                            unique_models[new_new_name] = model_.reference
                        else:
                            raise RuntimeError(
                                f"Model name {new_new_name} is already present"
                            )
                    else:
                        raise RuntimeError(
                            f"Model name {new_name} is already present as"
                            f" {type(model_data_type)}"
                        )
            elif (
                name
                and name in unique_models
                and model_.reference
                and unique_models[name].hash_ == model_.reference.hash_
                # image.metadef.namespace have weird occurences of itself
                and model_.reference != unique_models[name]
            ):
                # We already have literally same model. Do nothing expecting
                # that filtering in the `get_subtypes` will do the rest.
                pass
            elif name:
                unique_models[name] = model_.reference

        for ignore_model in self.ignored_models:
            self.discard_model(ignore_model)

    def get_subtypes(self):
        """Get all subtypes excluding TLA"""
        # Need to prevent literaly same objects to be emitted multiple times
        # what may happen in case of deep nesting
        emitted: set[str] = set()
        for k, v in self.refs.items():
            if (
                k
                and isinstance(v, (Enum, Struct, StringEnum))
                and k.name != self.root_name
            ):
                key = f"{k.type}:{getattr(v, 'name', '')}:{k.hash_}"
                if key not in emitted:
                    emitted.add(key)
                    yield v
            elif (
                k
                and k.name != self.root_name
                and isinstance(v, self.option_type_class)
            ):
                if isinstance(v.item_type, Enum):
                    key = f"{v.item_type}:{getattr(v, 'name', '')}:{k.hash_}"
                    if key not in emitted:
                        emitted.add(key)
                        yield v.item_type

    def get_root_data_type(self):
        """Get TLA type"""
        for k, v in self.refs.items():
            if not k or (k.name == self.root_name and isinstance(v, Struct)):
                if isinstance(v.fields, dict):
                    # There might be tuple Struct (with
                    # fields as list)
                    field_names = list(v.fields.keys())
                    if (
                        len(field_names) == 1
                        and v.fields[field_names[0]].is_optional
                    ):
                        # A body with only field can not normally be optional
                        logging.warning(
                            "Request body with single root field cannot be"
                            " optional"
                        )
                        v.fields[field_names[0]].is_optional = False
                return v
            elif not k or (
                k.name == self.root_name and isinstance(v, Dictionary)
            ):
                # Response is a free style Dictionary
                return v
        # No root has been found, make a dummy one
        root = self.data_type_mapping[model.Struct](name="Request")
        return root

    def get_imports(self):
        """Get complete set of additional imports required by all models in scope"""
        imports: set[str] = set()
        imports.update(self.get_root_data_type().imports)
        for subt in self.get_subtypes():
            imports.update(subt.imports)
            # for item in self.refs.values():
            #     imports.update(item.imports)
        for param in self.parameters.values():
            imports.update(param.data_type.imports)
        return imports

    def get_request_static_lifetimes(self, request_model: Struct):
        """Return static lifetimes of the Structure"""
        lifetimes = request_model.lifetimes
        for param in self.parameters.values():
            if param.location == "header":
                continue
            lt = param.lifetimes
            if lt:
                lifetimes.update(lt)
        if lifetimes:
            return f"<{', '.join(lifetimes)}>"
        return ""

    def subtype_requires_private_builders(self, subtype) -> bool:
        """Return `True` if type require private builder"""
        if not isinstance(subtype, self.data_type_mapping[model.Struct]):
            return False
        for field in subtype.fields.values():
            if "private" in field.builder_macros:
                return True
        if isinstance(subtype, Struct) and subtype.additional_fields_type:
            return True
        return False

    def set_parameters(self, parameters: list[model.RequestParameter]) -> None:
        """Set OpenAPI operation parameters into typemanager for conversion"""
        for parameter in parameters:
            data_type = self.convert_model(parameter.data_type)
            param = self.request_parameter_class(
                remote_name=self.get_remote_attribute_name(parameter.name),
                local_name=self.get_local_attribute_name(parameter.name),
                data_type=data_type,
                location=parameter.location,
                description=sanitize_rust_docstrings(parameter.description),
                is_required=parameter.is_required,
                is_flag=parameter.is_flag,
                resource_link=parameter.resource_link,
            )
            if param.local_name in self.parameters:
                raise RuntimeError(
                    f"Parameter with the name {param.local_name} is already"
                    " present"
                )
            self.parameters[param.local_name] = param

    def get_parameters(
        self, location: str
    ) -> Generator[Tuple[str, Type[RequestParameter]], None, None]:
        """Get parameters by location"""
        for k, v in self.parameters.items():
            if v.location == location:
                yield (k, v)

    def discard_model(
        self, type_model: model.PrimitiveType | model.ADT | model.Reference
    ):
        """Discard model from the manager"""
        logging.debug(f"Request to discard {type_model}")
        if isinstance(type_model, model.Reference):
            type_model = self._get_adt_by_reference(type_model)
        if not hasattr(type_model, "reference"):
            return
        for ref, data in list(self.refs.items()):
            if ref == type_model.reference:
                sub_ref: model.Reference | None = None
                if ref.type == model.Struct:
                    logging.debug(
                        "Element is a struct. Purging also field types"
                    )
                    # For struct type we cascadely discard all field types as
                    # well
                    for v in type_model.fields.values():
                        if isinstance(v.data_type, model.Reference):
                            sub_ref = v.data_type
                        else:
                            sub_ref = getattr(v.data_type, "reference", None)
                        if sub_ref:
                            logging.debug(f"Need to purge also {sub_ref}")
                            self.discard_model(sub_ref)
                elif ref.type == model.OneOfType:
                    logging.debug(
                        "Element is a OneOf. Purging also kinds types"
                    )
                    for v in type_model.kinds:
                        if isinstance(v, model.Reference):
                            sub_ref = v
                        else:
                            sub_ref = getattr(v, "reference", None)
                        if sub_ref:
                            logging.debug(f"Need to purge also {sub_ref}")
                            self.discard_model(sub_ref)
                elif ref.type == model.Array:
                    logging.debug(
                        "Element is a Array. Purging also item type"
                        f" {type_model.item_type}"
                    )
                    if isinstance(type_model.item_type, model.Reference):
                        sub_ref = type_model.item_type
                    else:
                        sub_ref = getattr(
                            type_model.item_type, "reference", None
                        )
                    if sub_ref:
                        logging.debug(f"Need to purge also {sub_ref}")
                        self.discard_model(sub_ref)
                logging.debug(f"Purging {ref} from models")
                self.refs.pop(ref, None)

    def is_operation_supporting_params(self) -> bool:
        """Determine whether operation supports any sort of parameters"""
        if self.parameters:
            return True
        root = self.get_root_data_type()
        if (
            root
            and isinstance(root, Struct)
            and not root.fields
            and not root.additional_fields_type
        ):
            return False
        elif root:
            return True
        return False


def sanitize_rust_docstrings(doc: str | list[str] | None) -> str | None:
    """Sanitize the string to be a valid rust docstring"""
    if not doc:
        return None
    code_block_open: bool = False
    lines: list[str] = []
    doc_lines: list[str] = []
    if isinstance(doc, list):
        for line in doc:
            doc_lines.extend(line.split("\n"))
    else:
        doc_lines = doc.split("\n")
    for line in doc_lines:
        m = re.search(CODEBLOCK_RE, line)
        if m and m.groups():
            if not code_block_open:
                code_block_open = True
                # Rustdoc defaults to rust code for code blocks. To prevent
                # this explicitly add `text`
                if m.group(1) == "":
                    line = line + "text"
            else:
                code_block_open = False
        lines.append(line)
    return "\n".join(lines)