# SPDX-License-Identifier: Apache-2.0
#
# The OpenSearch Contributors require contributions made to
# this file be licensed under the Apache-2.0 license or a
# compatible open source license.
#
# Modifications Copyright OpenSearch Contributors. See
# GitHub history for details.
#
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#  license agreements. See the NOTICE file distributed with
#  this work for additional information regarding copyright
#  ownership. Elasticsearch B.V. licenses this file to you under
#  the Apache License, Version 2.0 (the "License"); you may
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#
# 	http://www.apache.org/licenses/LICENSE-2.0
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import collections.abc as collections_abc
from fnmatch import fnmatch
from typing import Any, Tuple, Type

from six import add_metaclass, iteritems

from opensearchpy.connection.connections import get_connection
from opensearchpy.exceptions import NotFoundError, RequestError

from ..exceptions import IllegalOperation, ValidationException
from .field import Field
from .index import Index
from .mapping import Mapping
from .search import Search
from .utils import DOC_META_FIELDS, META_FIELDS, ObjectBase, merge


class MetaField(object):
    def __init__(self, *args: Any, **kwargs: Any) -> None:
        self.args, self.kwargs = args, kwargs


class DocumentMeta(type):
    def __new__(
        cls: Any,
        name: str,
        bases: Tuple[Type[ObjectBase]],
        attrs: Any,
    ) -> Any:
        # DocumentMeta filters attrs in place
        attrs["_doc_type"] = DocumentOptions(name, bases, attrs)
        return super(DocumentMeta, cls).__new__(cls, name, bases, attrs)


class IndexMeta(DocumentMeta):
    # global flag to guard us from associating an Index with the base Document
    # class, only user defined subclasses should have an _index attr
    _document_initialized = False

    def __new__(
        cls: Any,
        name: str,
        bases: Tuple[Type[ObjectBase]],
        attrs: Any,
    ) -> Any:
        new_cls = super(IndexMeta, cls).__new__(cls, name, bases, attrs)
        if cls._document_initialized:
            index_opts = attrs.pop("Index", None)
            index = cls.construct_index(index_opts, bases)
            new_cls._index = index
            index.document(new_cls)
        cls._document_initialized = True
        return new_cls

    @classmethod
    def construct_index(cls, opts: Any, bases: Any) -> Any:
        if opts is None:
            for b in bases:
                if hasattr(b, "_index"):
                    return b._index

            # Set None as Index name so it will set _all while making the query
            return Index(name=None)

        i = Index(getattr(opts, "name", "*"), using=getattr(opts, "using", "default"))
        i.settings(**getattr(opts, "settings", {}))
        i.aliases(**getattr(opts, "aliases", {}))
        for a in getattr(opts, "analyzers", ()):
            i.analyzer(a)
        return i


class DocumentOptions(object):
    def __init__(
        self,
        name: str,
        bases: Tuple[Type[ObjectBase]],
        attrs: Any,
    ) -> None:
        meta = attrs.pop("Meta", None)

        # create the mapping instance
        self.mapping = getattr(meta, "mapping", Mapping())

        # register all declared fields into the mapping
        for name, value in list(iteritems(attrs)):
            if isinstance(value, Field):
                self.mapping.field(name, value)
                del attrs[name]

        # add all the mappings for meta fields
        for name in dir(meta):
            if isinstance(getattr(meta, name, None), MetaField):
                params = getattr(meta, name)
                self.mapping.meta(name, *params.args, **params.kwargs)

        # document inheritance - include the fields from parents' mappings
        for b in bases:
            if hasattr(b, "_doc_type") and hasattr(b._doc_type, "mapping"):
                self.mapping.update(b._doc_type.mapping, update_only=True)

    @property
    def name(self) -> Any:
        return self.mapping.properties.name


@add_metaclass(DocumentMeta)
class InnerDoc(ObjectBase):
    """
    Common class for inner documents like Object or Nested
    """

    @classmethod
    def from_opensearch(cls, data: Any, data_only: bool = False) -> Any:
        if data_only:
            data = {"_source": data}
        return super(InnerDoc, cls).from_opensearch(data)


@add_metaclass(IndexMeta)
class Document(ObjectBase):
    """
    Model-like class for persisting documents in opensearch.
    """

    @classmethod
    def _matches(cls: Any, hit: Any) -> Any:
        if cls._index._name is None:
            return True
        return fnmatch(hit.get("_index", ""), cls._index._name)

    @classmethod
    def _get_using(cls: Any, using: Any = None) -> Any:
        return using or cls._index._using

    @classmethod
    def _get_connection(cls, using: Any = None) -> Any:
        return get_connection(cls._get_using(using))

    @classmethod
    def _default_index(cls: Any, index: Any = None) -> Any:
        return index or cls._index._name

    @classmethod
    def init(cls: Any, index: Any = None, using: Any = None) -> None:
        """
        Create the index and populate the mappings in opensearch.
        """
        i = cls._index
        if index:
            i = i.clone(name=index)
        i.save(using=using)

    def _get_index(self, index: Any = None, required: bool = True) -> Any:
        if index is None:
            index = getattr(self.meta, "index", None)
        if index is None:
            index = getattr(self._index, "_name", None)
        if index is None and required:
            raise ValidationException("No index")
        if index and "*" in index:
            raise ValidationException("You cannot write to a wildcard index.")
        return index

    def __repr__(self) -> str:
        return "{}({})".format(
            self.__class__.__name__,
            ", ".join(
                "{}={!r}".format(key, getattr(self.meta, key))
                for key in ("index", "id")
                if key in self.meta
            ),
        )

    @classmethod
    def search(cls, using: Any = None, index: Any = None) -> Any:
        """
        Create an :class:`~opensearchpy.Search` instance that will search
        over this ``Document``.
        """
        return Search(
            using=cls._get_using(using), index=cls._default_index(index), doc_type=[cls]
        )

    @classmethod
    def get(cls: Any, id: Any, using: Any = None, index: Any = None, **kwargs: Any) -> Any:  # type: ignore
        """
        Retrieve a single document from opensearch using its ``id``.

        :arg id: ``id`` of the document to be retrieved
        :arg index: opensearch index to use, if the ``Document`` is
            associated with an index this can be omitted.
        :arg using: connection alias to use, defaults to ``'default'``

        Any additional keyword arguments will be passed to
        ``OpenSearch.get`` unchanged.
        """
        opensearch = cls._get_connection(using)
        doc = opensearch.get(index=cls._default_index(index), id=id, **kwargs)
        if not doc.get("found", False):
            return None
        return cls.from_opensearch(doc)

    @classmethod
    def exists(
        cls, id: Any, using: Any = None, index: Any = None, **kwargs: Any
    ) -> Any:
        """
        check if exists a single document from opensearch using its ``id``.

        :arg id: ``id`` of the document to check if exists
        :arg index: opensearch index to use, if the ``Document`` is
            associated with an index this can be omitted.
        :arg using: connection alias to use, defaults to ``'default'``

        Any additional keyword arguments will be passed to
        ``OpenSearch.exists`` unchanged.
        """
        opensearch = cls._get_connection(using)
        return opensearch.exists(index=cls._default_index(index), id=id, **kwargs)

    @classmethod
    def mget(
        cls,
        docs: Any,
        using: Any = None,
        index: Any = None,
        raise_on_error: bool = True,
        missing: str = "none",
        **kwargs: Any,
    ) -> Any:
        """
        Retrieve multiple document by their ``id``'s. Returns a list of instances
        in the same order as requested.

        :arg docs: list of ``id``'s of the documents to be retrieved or a list
            of document specifications as per
            https://opensearch.org/docs/latest/opensearch/rest-api/document-apis/multi-get/
        :arg index: opensearch index to use, if the ``Document`` is
            associated with an index this can be omitted.
        :arg using: connection alias to use, defaults to ``'default'``
        :arg missing: what to do when one of the documents requested is not
            found. Valid options are ``'none'`` (use ``None``), ``'raise'`` (raise
            ``NotFoundError``) or ``'skip'`` (ignore the missing document).

        Any additional keyword arguments will be passed to
        ``OpenSearch.mget`` unchanged.
        """
        if missing not in ("raise", "skip", "none"):
            raise ValueError("'missing' must be 'raise', 'skip', or 'none'.")
        opensearch = cls._get_connection(using)
        body = {
            "docs": [
                doc if isinstance(doc, collections_abc.Mapping) else {"_id": doc}
                for doc in docs
            ]
        }
        results = opensearch.mget(body, index=cls._default_index(index), **kwargs)

        objs: Any = []
        error_docs: Any = []
        missing_docs: Any = []
        for doc in results["docs"]:
            if doc.get("found"):
                if error_docs or missing_docs:
                    # We're going to raise an exception anyway, so avoid an
                    # expensive call to cls.from_opensearch().
                    continue

                objs.append(cls.from_opensearch(doc))

            elif doc.get("error"):
                if raise_on_error:
                    error_docs.append(doc)
                if missing == "none":
                    objs.append(None)

            # The doc didn't cause an error, but the doc also wasn't found.
            elif missing == "raise":
                missing_docs.append(doc)
            elif missing == "none":
                objs.append(None)

        if error_docs:
            error_ids = [doc["_id"] for doc in error_docs]
            message = "Required routing not provided for documents %s."
            message %= ", ".join(error_ids)
            raise RequestError(400, message, error_docs)
        if missing_docs:
            missing_ids = [doc["_id"] for doc in missing_docs]
            message = "Documents %s not found." % ", ".join(missing_ids)
            raise NotFoundError(404, message, {"docs": missing_docs})
        return objs

    def delete(self, using: Any = None, index: Any = None, **kwargs: Any) -> Any:
        """
        Delete the instance in opensearch.

        :arg index: opensearch index to use, if the ``Document`` is
            associated with an index this can be omitted.
        :arg using: connection alias to use, defaults to ``'default'``

        Any additional keyword arguments will be passed to
        ``OpenSearch.delete`` unchanged.
        """
        opensearch = self._get_connection(using)
        # extract routing etc from meta
        doc_meta = {k: self.meta[k] for k in DOC_META_FIELDS if k in self.meta}

        # Optimistic concurrency control
        if "seq_no" in self.meta and "primary_term" in self.meta:
            doc_meta["if_seq_no"] = self.meta["seq_no"]
            doc_meta["if_primary_term"] = self.meta["primary_term"]

        doc_meta.update(kwargs)
        opensearch.delete(index=self._get_index(index), **doc_meta)

    def to_dict(self, include_meta: bool = False, skip_empty: bool = True) -> Any:  # type: ignore
        """
        Serialize the instance into a dictionary so that it can be saved in opensearch.

        :arg include_meta: if set to ``True`` will include all the metadata
            (``_index``, ``_id`` etc). Otherwise just the document's
            data is serialized. This is useful when passing multiple instances into
            ``opensearchpy.helpers.bulk``.
        :arg skip_empty: if set to ``False`` will cause empty values (``None``,
            ``[]``, ``{}``) to be left on the document. Those values will be
            stripped out otherwise as they make no difference in opensearch.
        """
        d = super(Document, self).to_dict(skip_empty=skip_empty)
        if not include_meta:
            return d

        meta = {"_" + k: self.meta[k] for k in DOC_META_FIELDS if k in self.meta}

        # in case of to_dict include the index unlike save/update/delete
        index = self._get_index(required=False)
        if index is not None:
            meta["_index"] = index

        meta["_source"] = d
        return meta

    def update(
        self,
        using: Any = None,
        index: Any = None,
        detect_noop: bool = True,
        doc_as_upsert: bool = False,
        refresh: bool = False,
        retry_on_conflict: Any = None,
        script: Any = None,
        script_id: Any = None,
        scripted_upsert: bool = False,
        upsert: Any = None,
        return_doc_meta: bool = False,
        **fields: Any,
    ) -> Any:
        """
        Partial update of the document, specify fields you wish to update and
        both the instance and the document in opensearch will be updated::

            doc = MyDocument(title='Document Title!')
            doc.save()
            doc.update(title='New Document Title!')

        :arg index: opensearch index to use, if the ``Document`` is
            associated with an index this can be omitted.
        :arg using: connection alias to use, defaults to ``'default'``
        :arg detect_noop: Set to ``False`` to disable noop detection.
        :arg refresh: Control when the changes made by this request are visible
            to search. Set to ``True`` for immediate effect.
        :arg retry_on_conflict: In between the get and indexing phases of the
            update, it is possible that another process might have already
            updated the same document. By default, the update will fail with a
            version conflict exception. The retry_on_conflict parameter
            controls how many times to retry the update before finally throwing
            an exception.
        :arg doc_as_upsert:  Instead of sending a partial doc plus an upsert
            doc, setting doc_as_upsert to true will use the contents of doc as
            the upsert value
        :arg return_doc_meta: set to ``True`` to return all metadata from the
            index API call instead of only the operation result

        :return operation result noop/updated
        """
        body: Any = {
            "doc_as_upsert": doc_as_upsert,
            "detect_noop": detect_noop,
        }

        # scripted update
        if script or script_id:
            if upsert is not None:
                body["upsert"] = upsert

            if script:
                script = {"source": script}
            else:
                script = {"id": script_id}

            script["params"] = fields

            body["script"] = script
            body["scripted_upsert"] = scripted_upsert

        # partial document update
        else:
            if not fields:
                raise IllegalOperation(
                    "You cannot call update() without updating individual fields or a script. "
                    "If you wish to update the entire object use save()."
                )

            # update given fields locally
            merge(self, fields)

            # prepare data for OpenSearch
            values = self.to_dict()

            # if fields were given: partial update
            body["doc"] = {k: values.get(k) for k in fields.keys()}

        # extract routing etc from meta
        doc_meta = {k: self.meta[k] for k in DOC_META_FIELDS if k in self.meta}

        if retry_on_conflict is not None:
            doc_meta["retry_on_conflict"] = retry_on_conflict

        # Optimistic concurrency control
        if (
            retry_on_conflict in (None, 0)
            and "seq_no" in self.meta
            and "primary_term" in self.meta
        ):
            doc_meta["if_seq_no"] = self.meta["seq_no"]
            doc_meta["if_primary_term"] = self.meta["primary_term"]

        meta = self._get_connection(using).update(
            index=self._get_index(index), body=body, refresh=refresh, **doc_meta
        )
        # update meta information from OpenSearch
        for k in META_FIELDS:
            if "_" + k in meta:
                setattr(self.meta, k, meta["_" + k])

        return meta if return_doc_meta else meta["result"]

    def save(
        self,
        using: Any = None,
        index: Any = None,
        validate: bool = True,
        skip_empty: bool = True,
        return_doc_meta: bool = False,
        **kwargs: Any,
    ) -> Any:
        """
        Save the document into opensearch. If the document doesn't exist it
        is created, it is overwritten otherwise. Returns ``True`` if this
        operations resulted in new document being created.

        :arg index: opensearch index to use, if the ``Document`` is
            associated with an index this can be omitted.
        :arg using: connection alias to use, defaults to ``'default'``
        :arg validate: set to ``False`` to skip validating the document
        :arg skip_empty: if set to ``False`` will cause empty values (``None``,
            ``[]``, ``{}``) to be left on the document. Those values will be
            stripped out otherwise as they make no difference in opensearch.
        :arg return_doc_meta: set to ``True`` to return all metadata from the
            update API call instead of only the operation result

        Any additional keyword arguments will be passed to
        ``OpenSearch.index`` unchanged.

        :return operation result created/updated
        """
        if validate:
            self.full_clean()

        opensearch = self._get_connection(using)
        # extract routing etc from meta
        doc_meta = {k: self.meta[k] for k in DOC_META_FIELDS if k in self.meta}

        # Optimistic concurrency control
        if "seq_no" in self.meta and "primary_term" in self.meta:
            doc_meta["if_seq_no"] = self.meta["seq_no"]
            doc_meta["if_primary_term"] = self.meta["primary_term"]

        doc_meta.update(kwargs)
        meta = opensearch.index(
            index=self._get_index(index),
            body=self.to_dict(skip_empty=skip_empty),
            **doc_meta,
        )
        # update meta information from OpenSearch
        for k in META_FIELDS:
            if "_" + k in meta:
                setattr(self.meta, k, meta["_" + k])

        return meta if return_doc_meta else meta["result"]