import itertools
import time
from typing import Dict, List, Optional, Union

from redis.client import NEVER_DECODE, Pipeline
from redis.utils import deprecated_function

from ..helpers import get_protocol_version, parse_to_dict
from ._util import to_string
from .aggregation import AggregateRequest, AggregateResult, Cursor
from .document import Document
from .field import Field
from .indexDefinition import IndexDefinition
from .query import Query
from .result import Result
from .suggestion import SuggestionParser

NUMERIC = "NUMERIC"

CREATE_CMD = "FT.CREATE"
ALTER_CMD = "FT.ALTER"
SEARCH_CMD = "FT.SEARCH"
ADD_CMD = "FT.ADD"
ADDHASH_CMD = "FT.ADDHASH"
DROP_CMD = "FT.DROP"
DROPINDEX_CMD = "FT.DROPINDEX"
EXPLAIN_CMD = "FT.EXPLAIN"
EXPLAINCLI_CMD = "FT.EXPLAINCLI"
DEL_CMD = "FT.DEL"
AGGREGATE_CMD = "FT.AGGREGATE"
PROFILE_CMD = "FT.PROFILE"
CURSOR_CMD = "FT.CURSOR"
SPELLCHECK_CMD = "FT.SPELLCHECK"
DICT_ADD_CMD = "FT.DICTADD"
DICT_DEL_CMD = "FT.DICTDEL"
DICT_DUMP_CMD = "FT.DICTDUMP"
GET_CMD = "FT.GET"
MGET_CMD = "FT.MGET"
CONFIG_CMD = "FT.CONFIG"
TAGVALS_CMD = "FT.TAGVALS"
ALIAS_ADD_CMD = "FT.ALIASADD"
ALIAS_UPDATE_CMD = "FT.ALIASUPDATE"
ALIAS_DEL_CMD = "FT.ALIASDEL"
INFO_CMD = "FT.INFO"
SUGADD_COMMAND = "FT.SUGADD"
SUGDEL_COMMAND = "FT.SUGDEL"
SUGLEN_COMMAND = "FT.SUGLEN"
SUGGET_COMMAND = "FT.SUGGET"
SYNUPDATE_CMD = "FT.SYNUPDATE"
SYNDUMP_CMD = "FT.SYNDUMP"

NOOFFSETS = "NOOFFSETS"
NOFIELDS = "NOFIELDS"
NOHL = "NOHL"
NOFREQS = "NOFREQS"
MAXTEXTFIELDS = "MAXTEXTFIELDS"
TEMPORARY = "TEMPORARY"
STOPWORDS = "STOPWORDS"
SKIPINITIALSCAN = "SKIPINITIALSCAN"
WITHSCORES = "WITHSCORES"
FUZZY = "FUZZY"
WITHPAYLOADS = "WITHPAYLOADS"


class SearchCommands:
    """Search commands."""

    def _parse_results(self, cmd, res, **kwargs):
        if get_protocol_version(self.client) in ["3", 3]:
            return res
        else:
            return self._RESP2_MODULE_CALLBACKS[cmd](res, **kwargs)

    def _parse_info(self, res, **kwargs):
        it = map(to_string, res)
        return dict(zip(it, it))

    def _parse_search(self, res, **kwargs):
        return Result(
            res,
            not kwargs["query"]._no_content,
            duration=kwargs["duration"],
            has_payload=kwargs["query"]._with_payloads,
            with_scores=kwargs["query"]._with_scores,
            field_encodings=kwargs["query"]._return_fields_decode_as,
        )

    def _parse_aggregate(self, res, **kwargs):
        return self._get_aggregate_result(res, kwargs["query"], kwargs["has_cursor"])

    def _parse_profile(self, res, **kwargs):
        query = kwargs["query"]
        if isinstance(query, AggregateRequest):
            result = self._get_aggregate_result(res[0], query, query._cursor)
        else:
            result = Result(
                res[0],
                not query._no_content,
                duration=kwargs["duration"],
                has_payload=query._with_payloads,
                with_scores=query._with_scores,
            )

        return result, parse_to_dict(res[1])

    def _parse_spellcheck(self, res, **kwargs):
        corrections = {}
        if res == 0:
            return corrections

        for _correction in res:
            if isinstance(_correction, int) and _correction == 0:
                continue

            if len(_correction) != 3:
                continue
            if not _correction[2]:
                continue
            if not _correction[2][0]:
                continue

            # For spellcheck output
            # 1)  1) "TERM"
            #     2) "{term1}"
            #     3)  1)  1)  "{score1}"
            #             2)  "{suggestion1}"
            #         2)  1)  "{score2}"
            #             2)  "{suggestion2}"
            #
            # Following dictionary will be made
            # corrections = {
            #     '{term1}': [
            #         {'score': '{score1}', 'suggestion': '{suggestion1}'},
            #         {'score': '{score2}', 'suggestion': '{suggestion2}'}
            #     ]
            # }
            corrections[_correction[1]] = [
                {"score": _item[0], "suggestion": _item[1]} for _item in _correction[2]
            ]

        return corrections

    def _parse_config_get(self, res, **kwargs):
        return {kvs[0]: kvs[1] for kvs in res} if res else {}

    def _parse_syndump(self, res, **kwargs):
        return {res[i]: res[i + 1] for i in range(0, len(res), 2)}

    def batch_indexer(self, chunk_size=100):
        """
        Create a new batch indexer from the client with a given chunk size
        """
        return self.BatchIndexer(self, chunk_size=chunk_size)

    def create_index(
        self,
        fields: List[Field],
        no_term_offsets: bool = False,
        no_field_flags: bool = False,
        stopwords: Optional[List[str]] = None,
        definition: Optional[IndexDefinition] = None,
        max_text_fields=False,
        temporary=None,
        no_highlight: bool = False,
        no_term_frequencies: bool = False,
        skip_initial_scan: bool = False,
    ):
        """
        Creates the search index. The index must not already exist.

        For more information, see https://redis.io/commands/ft.create/

        Args:
            fields: A list of Field objects.
            no_term_offsets: If `true`, term offsets will not be saved in the index.
            no_field_flags: If true, field flags that allow searching in specific fields
                            will not be saved.
            stopwords: If provided, the index will be created with this custom stopword
                       list. The list can be empty.
            definition: If provided, the index will be created with this custom index
                        definition.
            max_text_fields: If true, indexes will be encoded as if there were more than
                             32 text fields, allowing for additional fields beyond 32.
            temporary: Creates a lightweight temporary index which will expire after the
                       specified period of inactivity. The internal idle timer is reset
                       whenever the index is searched or added to.
            no_highlight: If true, disables highlighting support. Also implied by
                          `no_term_offsets`.
            no_term_frequencies: If true, term frequencies will not be saved in the
                                 index.
            skip_initial_scan: If true, the initial scan and indexing will be skipped.

        """
        args = [CREATE_CMD, self.index_name]
        if definition is not None:
            args += definition.args
        if max_text_fields:
            args.append(MAXTEXTFIELDS)
        if temporary is not None and isinstance(temporary, int):
            args.append(TEMPORARY)
            args.append(temporary)
        if no_term_offsets:
            args.append(NOOFFSETS)
        if no_highlight:
            args.append(NOHL)
        if no_field_flags:
            args.append(NOFIELDS)
        if no_term_frequencies:
            args.append(NOFREQS)
        if skip_initial_scan:
            args.append(SKIPINITIALSCAN)
        if stopwords is not None and isinstance(stopwords, (list, tuple, set)):
            args += [STOPWORDS, len(stopwords)]
            if len(stopwords) > 0:
                args += list(stopwords)

        args.append("SCHEMA")
        try:
            args += list(itertools.chain(*(f.redis_args() for f in fields)))
        except TypeError:
            args += fields.redis_args()

        return self.execute_command(*args)

    def alter_schema_add(self, fields: List[str]):
        """
        Alter the existing search index by adding new fields. The index
        must already exist.

        ### Parameters:

        - **fields**: a list of Field objects to add for the index

        For more information see `FT.ALTER <https://redis.io/commands/ft.alter>`_.
        """  # noqa

        args = [ALTER_CMD, self.index_name, "SCHEMA", "ADD"]
        try:
            args += list(itertools.chain(*(f.redis_args() for f in fields)))
        except TypeError:
            args += fields.redis_args()

        return self.execute_command(*args)

    def dropindex(self, delete_documents: bool = False):
        """
        Drop the index if it exists.
        Replaced `drop_index` in RediSearch 2.0.
        Default behavior was changed to not delete the indexed documents.

        ### Parameters:

        - **delete_documents**: If `True`, all documents will be deleted.

        For more information see `FT.DROPINDEX <https://redis.io/commands/ft.dropindex>`_.
        """  # noqa
        delete_str = "DD" if delete_documents else ""
        return self.execute_command(DROPINDEX_CMD, self.index_name, delete_str)

    def _add_document(
        self,
        doc_id,
        conn=None,
        nosave=False,
        score=1.0,
        payload=None,
        replace=False,
        partial=False,
        language=None,
        no_create=False,
        **fields,
    ):
        """
        Internal add_document used for both batch and single doc indexing
        """

        if partial or no_create:
            replace = True

        args = [ADD_CMD, self.index_name, doc_id, score]
        if nosave:
            args.append("NOSAVE")
        if payload is not None:
            args.append("PAYLOAD")
            args.append(payload)
        if replace:
            args.append("REPLACE")
            if partial:
                args.append("PARTIAL")
            if no_create:
                args.append("NOCREATE")
        if language:
            args += ["LANGUAGE", language]
        args.append("FIELDS")
        args += list(itertools.chain(*fields.items()))

        if conn is not None:
            return conn.execute_command(*args)

        return self.execute_command(*args)

    def _add_document_hash(
        self, doc_id, conn=None, score=1.0, language=None, replace=False
    ):
        """
        Internal add_document_hash used for both batch and single doc indexing
        """

        args = [ADDHASH_CMD, self.index_name, doc_id, score]

        if replace:
            args.append("REPLACE")

        if language:
            args += ["LANGUAGE", language]

        if conn is not None:
            return conn.execute_command(*args)

        return self.execute_command(*args)

    @deprecated_function(
        version="2.0.0", reason="deprecated since redisearch 2.0, call hset instead"
    )
    def add_document(
        self,
        doc_id: str,
        nosave: bool = False,
        score: float = 1.0,
        payload: bool = None,
        replace: bool = False,
        partial: bool = False,
        language: Optional[str] = None,
        no_create: str = False,
        **fields: List[str],
    ):
        """
        Add a single document to the index.

        Args:

            doc_id: the id of the saved document.
            nosave: if set to true, we just index the document, and don't
                      save a copy of it. This means that searches will just
                      return ids.
            score: the document ranking, between 0.0 and 1.0
            payload: optional inner-index payload we can save for fast
                     access in scoring functions
            replace: if True, and the document already is in the index,
                     we perform an update and reindex the document
            partial: if True, the fields specified will be added to the
                       existing document.
                       This has the added benefit that any fields specified
                       with `no_index`
                       will not be reindexed again. Implies `replace`
            language: Specify the language used for document tokenization.
            no_create: if True, the document is only updated and reindexed
                         if it already exists.
                         If the document does not exist, an error will be
                         returned. Implies `replace`
            fields: kwargs dictionary of the document fields to be saved
                    and/or indexed.
                    NOTE: Geo points shoule be encoded as strings of "lon,lat"
        """  # noqa
        return self._add_document(
            doc_id,
            conn=None,
            nosave=nosave,
            score=score,
            payload=payload,
            replace=replace,
            partial=partial,
            language=language,
            no_create=no_create,
            **fields,
        )

    @deprecated_function(
        version="2.0.0", reason="deprecated since redisearch 2.0, call hset instead"
    )
    def add_document_hash(self, doc_id, score=1.0, language=None, replace=False):
        """
        Add a hash document to the index.

        ### Parameters

        - **doc_id**: the document's id. This has to be an existing HASH key
                      in Redis that will hold the fields the index needs.
        - **score**:  the document ranking, between 0.0 and 1.0
        - **replace**: if True, and the document already is in the index, we
                      perform an update and reindex the document
        - **language**: Specify the language used for document tokenization.
        """  # noqa
        return self._add_document_hash(
            doc_id, conn=None, score=score, language=language, replace=replace
        )

    def delete_document(self, doc_id, conn=None, delete_actual_document=False):
        """
        Delete a document from index
        Returns 1 if the document was deleted, 0 if not

        ### Parameters

        - **delete_actual_document**: if set to True, RediSearch also delete
                                      the actual document if it is in the index
        """  # noqa
        args = [DEL_CMD, self.index_name, doc_id]
        if delete_actual_document:
            args.append("DD")

        if conn is not None:
            return conn.execute_command(*args)

        return self.execute_command(*args)

    def load_document(self, id):
        """
        Load a single document by id
        """
        fields = self.client.hgetall(id)
        f2 = {to_string(k): to_string(v) for k, v in fields.items()}
        fields = f2

        try:
            del fields["id"]
        except KeyError:
            pass

        return Document(id=id, **fields)

    def get(self, *ids):
        """
        Returns the full contents of multiple documents.

        ### Parameters

        - **ids**: the ids of the saved documents.

        """

        return self.execute_command(MGET_CMD, self.index_name, *ids)

    def info(self):
        """
        Get info an stats about the the current index, including the number of
        documents, memory consumption, etc

        For more information see `FT.INFO <https://redis.io/commands/ft.info>`_.
        """

        res = self.execute_command(INFO_CMD, self.index_name)
        return self._parse_results(INFO_CMD, res)

    def get_params_args(
        self, query_params: Union[Dict[str, Union[str, int, float, bytes]], None]
    ):
        if query_params is None:
            return []
        args = []
        if len(query_params) > 0:
            args.append("params")
            args.append(len(query_params) * 2)
            for key, value in query_params.items():
                args.append(key)
                args.append(value)
        return args

    def _mk_query_args(
        self, query, query_params: Union[Dict[str, Union[str, int, float, bytes]], None]
    ):
        args = [self.index_name]

        if isinstance(query, str):
            # convert the query from a text to a query object
            query = Query(query)
        if not isinstance(query, Query):
            raise ValueError(f"Bad query type {type(query)}")

        args += query.get_args()
        args += self.get_params_args(query_params)

        return args, query

    def search(
        self,
        query: Union[str, Query],
        query_params: Union[Dict[str, Union[str, int, float, bytes]], None] = None,
    ):
        """
        Search the index for a given query, and return a result of documents

        ### Parameters

        - **query**: the search query. Either a text for simple queries with
                     default parameters, or a Query object for complex queries.
                     See RediSearch's documentation on query format

        For more information see `FT.SEARCH <https://redis.io/commands/ft.search>`_.
        """  # noqa
        args, query = self._mk_query_args(query, query_params=query_params)
        st = time.time()

        options = {}
        if get_protocol_version(self.client) not in ["3", 3]:
            options[NEVER_DECODE] = True

        res = self.execute_command(SEARCH_CMD, *args, **options)

        if isinstance(res, Pipeline):
            return res

        return self._parse_results(
            SEARCH_CMD, res, query=query, duration=(time.time() - st) * 1000.0
        )

    def explain(
        self,
        query: Union[str, Query],
        query_params: Dict[str, Union[str, int, float]] = None,
    ):
        """Returns the execution plan for a complex query.

        For more information see `FT.EXPLAIN <https://redis.io/commands/ft.explain>`_.
        """  # noqa
        args, query_text = self._mk_query_args(query, query_params=query_params)
        return self.execute_command(EXPLAIN_CMD, *args)

    def explain_cli(self, query: Union[str, Query]):  # noqa
        raise NotImplementedError("EXPLAINCLI will not be implemented.")

    def aggregate(
        self,
        query: Union[str, Query],
        query_params: Dict[str, Union[str, int, float]] = None,
    ):
        """
        Issue an aggregation query.

        ### Parameters

        **query**: This can be either an `AggregateRequest`, or a `Cursor`

        An `AggregateResult` object is returned. You can access the rows from
        its `rows` property, which will always yield the rows of the result.

        For more information see `FT.AGGREGATE <https://redis.io/commands/ft.aggregate>`_.
        """  # noqa
        if isinstance(query, AggregateRequest):
            has_cursor = bool(query._cursor)
            cmd = [AGGREGATE_CMD, self.index_name] + query.build_args()
        elif isinstance(query, Cursor):
            has_cursor = True
            cmd = [CURSOR_CMD, "READ", self.index_name] + query.build_args()
        else:
            raise ValueError("Bad query", query)
        cmd += self.get_params_args(query_params)

        raw = self.execute_command(*cmd)
        return self._parse_results(
            AGGREGATE_CMD, raw, query=query, has_cursor=has_cursor
        )

    def _get_aggregate_result(
        self, raw: List, query: Union[str, Query, AggregateRequest], has_cursor: bool
    ):
        if has_cursor:
            if isinstance(query, Cursor):
                query.cid = raw[1]
                cursor = query
            else:
                cursor = Cursor(raw[1])
            raw = raw[0]
        else:
            cursor = None

        if isinstance(query, AggregateRequest) and query._with_schema:
            schema = raw[0]
            rows = raw[2:]
        else:
            schema = None
            rows = raw[1:]

        return AggregateResult(rows, cursor, schema)

    def profile(
        self,
        query: Union[str, Query, AggregateRequest],
        limited: bool = False,
        query_params: Optional[Dict[str, Union[str, int, float]]] = None,
    ):
        """
        Performs a search or aggregate command and collects performance
        information.

        ### Parameters

        **query**: This can be either an `AggregateRequest`, `Query` or string.
        **limited**: If set to True, removes details of reader iterator.
        **query_params**: Define one or more value parameters.
        Each parameter has a name and a value.

        """
        st = time.time()
        cmd = [PROFILE_CMD, self.index_name, ""]
        if limited:
            cmd.append("LIMITED")
        cmd.append("QUERY")

        if isinstance(query, AggregateRequest):
            cmd[2] = "AGGREGATE"
            cmd += query.build_args()
        elif isinstance(query, Query):
            cmd[2] = "SEARCH"
            cmd += query.get_args()
            cmd += self.get_params_args(query_params)
        else:
            raise ValueError("Must provide AggregateRequest object or Query object.")

        res = self.execute_command(*cmd)

        return self._parse_results(
            PROFILE_CMD, res, query=query, duration=(time.time() - st) * 1000.0
        )

    def spellcheck(self, query, distance=None, include=None, exclude=None):
        """
        Issue a spellcheck query

        Args:

            query: search query.
            distance: the maximal Levenshtein distance for spelling
                       suggestions (default: 1, max: 4).
            include: specifies an inclusion custom dictionary.
            exclude: specifies an exclusion custom dictionary.

        For more information see `FT.SPELLCHECK <https://redis.io/commands/ft.spellcheck>`_.
        """  # noqa
        cmd = [SPELLCHECK_CMD, self.index_name, query]
        if distance:
            cmd.extend(["DISTANCE", distance])

        if include:
            cmd.extend(["TERMS", "INCLUDE", include])

        if exclude:
            cmd.extend(["TERMS", "EXCLUDE", exclude])

        res = self.execute_command(*cmd)

        return self._parse_results(SPELLCHECK_CMD, res)

    def dict_add(self, name: str, *terms: List[str]):
        """Adds terms to a dictionary.

        ### Parameters

        - **name**: Dictionary name.
        - **terms**: List of items for adding to the dictionary.

        For more information see `FT.DICTADD <https://redis.io/commands/ft.dictadd>`_.
        """  # noqa
        cmd = [DICT_ADD_CMD, name]
        cmd.extend(terms)
        return self.execute_command(*cmd)

    def dict_del(self, name: str, *terms: List[str]):
        """Deletes terms from a dictionary.

        ### Parameters

        - **name**: Dictionary name.
        - **terms**: List of items for removing from the dictionary.

        For more information see `FT.DICTDEL <https://redis.io/commands/ft.dictdel>`_.
        """  # noqa
        cmd = [DICT_DEL_CMD, name]
        cmd.extend(terms)
        return self.execute_command(*cmd)

    def dict_dump(self, name: str):
        """Dumps all terms in the given dictionary.

        ### Parameters

        - **name**: Dictionary name.

        For more information see `FT.DICTDUMP <https://redis.io/commands/ft.dictdump>`_.
        """  # noqa
        cmd = [DICT_DUMP_CMD, name]
        return self.execute_command(*cmd)

    def config_set(self, option: str, value: str) -> bool:
        """Set runtime configuration option.

        ### Parameters

        - **option**: the name of the configuration option.
        - **value**: a value for the configuration option.

        For more information see `FT.CONFIG SET <https://redis.io/commands/ft.config-set>`_.
        """  # noqa
        cmd = [CONFIG_CMD, "SET", option, value]
        raw = self.execute_command(*cmd)
        return raw == "OK"

    def config_get(self, option: str) -> str:
        """Get runtime configuration option value.

        ### Parameters

        - **option**: the name of the configuration option.

        For more information see `FT.CONFIG GET <https://redis.io/commands/ft.config-get>`_.
        """  # noqa
        cmd = [CONFIG_CMD, "GET", option]
        res = self.execute_command(*cmd)
        return self._parse_results(CONFIG_CMD, res)

    def tagvals(self, tagfield: str):
        """
        Return a list of all possible tag values

        ### Parameters

        - **tagfield**: Tag field name

        For more information see `FT.TAGVALS <https://redis.io/commands/ft.tagvals>`_.
        """  # noqa

        return self.execute_command(TAGVALS_CMD, self.index_name, tagfield)

    def aliasadd(self, alias: str):
        """
        Alias a search index - will fail if alias already exists

        ### Parameters

        - **alias**: Name of the alias to create

        For more information see `FT.ALIASADD <https://redis.io/commands/ft.aliasadd>`_.
        """  # noqa

        return self.execute_command(ALIAS_ADD_CMD, alias, self.index_name)

    def aliasupdate(self, alias: str):
        """
        Updates an alias - will fail if alias does not already exist

        ### Parameters

        - **alias**: Name of the alias to create

        For more information see `FT.ALIASUPDATE <https://redis.io/commands/ft.aliasupdate>`_.
        """  # noqa

        return self.execute_command(ALIAS_UPDATE_CMD, alias, self.index_name)

    def aliasdel(self, alias: str):
        """
        Removes an alias to a search index

        ### Parameters

        - **alias**: Name of the alias to delete

        For more information see `FT.ALIASDEL <https://redis.io/commands/ft.aliasdel>`_.
        """  # noqa
        return self.execute_command(ALIAS_DEL_CMD, alias)

    def sugadd(self, key, *suggestions, **kwargs):
        """
        Add suggestion terms to the AutoCompleter engine. Each suggestion has
        a score and string.
        If kwargs["increment"] is true and the terms are already in the
        server's dictionary, we increment their scores.

        For more information see `FT.SUGADD <https://redis.io/commands/ft.sugadd/>`_.
        """  # noqa
        # If Transaction is not False it will MULTI/EXEC which will error
        pipe = self.pipeline(transaction=False)
        for sug in suggestions:
            args = [SUGADD_COMMAND, key, sug.string, sug.score]
            if kwargs.get("increment"):
                args.append("INCR")
            if sug.payload:
                args.append("PAYLOAD")
                args.append(sug.payload)

            pipe.execute_command(*args)

        return pipe.execute()[-1]

    def suglen(self, key: str) -> int:
        """
        Return the number of entries in the AutoCompleter index.

        For more information see `FT.SUGLEN <https://redis.io/commands/ft.suglen>`_.
        """  # noqa
        return self.execute_command(SUGLEN_COMMAND, key)

    def sugdel(self, key: str, string: str) -> int:
        """
        Delete a string from the AutoCompleter index.
        Returns 1 if the string was found and deleted, 0 otherwise.

        For more information see `FT.SUGDEL <https://redis.io/commands/ft.sugdel>`_.
        """  # noqa
        return self.execute_command(SUGDEL_COMMAND, key, string)

    def sugget(
        self,
        key: str,
        prefix: str,
        fuzzy: bool = False,
        num: int = 10,
        with_scores: bool = False,
        with_payloads: bool = False,
    ) -> List[SuggestionParser]:
        """
        Get a list of suggestions from the AutoCompleter, for a given prefix.

        Parameters:

        prefix : str
            The prefix we are searching. **Must be valid ascii or utf-8**
        fuzzy : bool
            If set to true, the prefix search is done in fuzzy mode.
            **NOTE**: Running fuzzy searches on short (<3 letters) prefixes
            can be very
            slow, and even scan the entire index.
        with_scores : bool
            If set to true, we also return the (refactored) score of
            each suggestion.
            This is normally not needed, and is NOT the original score
            inserted into the index.
        with_payloads : bool
            Return suggestion payloads
        num : int
            The maximum number of results we return. Note that we might
            return less. The algorithm trims irrelevant suggestions.

        Returns:

        list:
             A list of Suggestion objects. If with_scores was False, the
             score of all suggestions is 1.

        For more information see `FT.SUGGET <https://redis.io/commands/ft.sugget>`_.
        """  # noqa
        args = [SUGGET_COMMAND, key, prefix, "MAX", num]
        if fuzzy:
            args.append(FUZZY)
        if with_scores:
            args.append(WITHSCORES)
        if with_payloads:
            args.append(WITHPAYLOADS)

        res = self.execute_command(*args)
        results = []
        if not res:
            return results

        parser = SuggestionParser(with_scores, with_payloads, res)
        return [s for s in parser]

    def synupdate(self, groupid: str, skipinitial: bool = False, *terms: List[str]):
        """
        Updates a synonym group.
        The command is used to create or update a synonym group with
        additional terms.
        Only documents which were indexed after the update will be affected.

        Parameters:

        groupid :
            Synonym group id.
        skipinitial : bool
            If set to true, we do not scan and index.
        terms :
            The terms.

        For more information see `FT.SYNUPDATE <https://redis.io/commands/ft.synupdate>`_.
        """  # noqa
        cmd = [SYNUPDATE_CMD, self.index_name, groupid]
        if skipinitial:
            cmd.extend(["SKIPINITIALSCAN"])
        cmd.extend(terms)
        return self.execute_command(*cmd)

    def syndump(self):
        """
        Dumps the contents of a synonym group.

        The command is used to dump the synonyms data structure.
        Returns a list of synonym terms and their synonym group ids.

        For more information see `FT.SYNDUMP <https://redis.io/commands/ft.syndump>`_.
        """  # noqa
        res = self.execute_command(SYNDUMP_CMD, self.index_name)
        return self._parse_results(SYNDUMP_CMD, res)


class AsyncSearchCommands(SearchCommands):
    async def info(self):
        """
        Get info an stats about the the current index, including the number of
        documents, memory consumption, etc

        For more information see `FT.INFO <https://redis.io/commands/ft.info>`_.
        """

        res = await self.execute_command(INFO_CMD, self.index_name)
        return self._parse_results(INFO_CMD, res)

    async def search(
        self,
        query: Union[str, Query],
        query_params: Dict[str, Union[str, int, float]] = None,
    ):
        """
        Search the index for a given query, and return a result of documents

        ### Parameters

        - **query**: the search query. Either a text for simple queries with
                     default parameters, or a Query object for complex queries.
                     See RediSearch's documentation on query format

        For more information see `FT.SEARCH <https://redis.io/commands/ft.search>`_.
        """  # noqa
        args, query = self._mk_query_args(query, query_params=query_params)
        st = time.time()

        options = {}
        if get_protocol_version(self.client) not in ["3", 3]:
            options[NEVER_DECODE] = True

        res = await self.execute_command(SEARCH_CMD, *args, **options)

        if isinstance(res, Pipeline):
            return res

        return self._parse_results(
            SEARCH_CMD, res, query=query, duration=(time.time() - st) * 1000.0
        )

    async def aggregate(
        self,
        query: Union[str, Query],
        query_params: Dict[str, Union[str, int, float]] = None,
    ):
        """
        Issue an aggregation query.

        ### Parameters

        **query**: This can be either an `AggregateRequest`, or a `Cursor`

        An `AggregateResult` object is returned. You can access the rows from
        its `rows` property, which will always yield the rows of the result.

        For more information see `FT.AGGREGATE <https://redis.io/commands/ft.aggregate>`_.
        """  # noqa
        if isinstance(query, AggregateRequest):
            has_cursor = bool(query._cursor)
            cmd = [AGGREGATE_CMD, self.index_name] + query.build_args()
        elif isinstance(query, Cursor):
            has_cursor = True
            cmd = [CURSOR_CMD, "READ", self.index_name] + query.build_args()
        else:
            raise ValueError("Bad query", query)
        cmd += self.get_params_args(query_params)

        raw = await self.execute_command(*cmd)
        return self._parse_results(
            AGGREGATE_CMD, raw, query=query, has_cursor=has_cursor
        )

    async def spellcheck(self, query, distance=None, include=None, exclude=None):
        """
        Issue a spellcheck query

        ### Parameters

        **query**: search query.
        **distance***: the maximal Levenshtein distance for spelling
                       suggestions (default: 1, max: 4).
        **include**: specifies an inclusion custom dictionary.
        **exclude**: specifies an exclusion custom dictionary.

        For more information see `FT.SPELLCHECK <https://redis.io/commands/ft.spellcheck>`_.
        """  # noqa
        cmd = [SPELLCHECK_CMD, self.index_name, query]
        if distance:
            cmd.extend(["DISTANCE", distance])

        if include:
            cmd.extend(["TERMS", "INCLUDE", include])

        if exclude:
            cmd.extend(["TERMS", "EXCLUDE", exclude])

        res = await self.execute_command(*cmd)

        return self._parse_results(SPELLCHECK_CMD, res)

    async def config_set(self, option: str, value: str) -> bool:
        """Set runtime configuration option.

        ### Parameters

        - **option**: the name of the configuration option.
        - **value**: a value for the configuration option.

        For more information see `FT.CONFIG SET <https://redis.io/commands/ft.config-set>`_.
        """  # noqa
        cmd = [CONFIG_CMD, "SET", option, value]
        raw = await self.execute_command(*cmd)
        return raw == "OK"

    async def config_get(self, option: str) -> str:
        """Get runtime configuration option value.

        ### Parameters

        - **option**: the name of the configuration option.

        For more information see `FT.CONFIG GET <https://redis.io/commands/ft.config-get>`_.
        """  # noqa
        cmd = [CONFIG_CMD, "GET", option]
        res = {}
        res = await self.execute_command(*cmd)
        return self._parse_results(CONFIG_CMD, res)

    async def load_document(self, id):
        """
        Load a single document by id
        """
        fields = await self.client.hgetall(id)
        f2 = {to_string(k): to_string(v) for k, v in fields.items()}
        fields = f2

        try:
            del fields["id"]
        except KeyError:
            pass

        return Document(id=id, **fields)

    async def sugadd(self, key, *suggestions, **kwargs):
        """
        Add suggestion terms to the AutoCompleter engine. Each suggestion has
        a score and string.
        If kwargs["increment"] is true and the terms are already in the
        server's dictionary, we increment their scores.

        For more information see `FT.SUGADD <https://redis.io/commands/ft.sugadd>`_.
        """  # noqa
        # If Transaction is not False it will MULTI/EXEC which will error
        pipe = self.pipeline(transaction=False)
        for sug in suggestions:
            args = [SUGADD_COMMAND, key, sug.string, sug.score]
            if kwargs.get("increment"):
                args.append("INCR")
            if sug.payload:
                args.append("PAYLOAD")
                args.append(sug.payload)

            pipe.execute_command(*args)

        return (await pipe.execute())[-1]

    async def sugget(
        self,
        key: str,
        prefix: str,
        fuzzy: bool = False,
        num: int = 10,
        with_scores: bool = False,
        with_payloads: bool = False,
    ) -> List[SuggestionParser]:
        """
        Get a list of suggestions from the AutoCompleter, for a given prefix.

        Parameters:

        prefix : str
            The prefix we are searching. **Must be valid ascii or utf-8**
        fuzzy : bool
            If set to true, the prefix search is done in fuzzy mode.
            **NOTE**: Running fuzzy searches on short (<3 letters) prefixes
            can be very
            slow, and even scan the entire index.
        with_scores : bool
            If set to true, we also return the (refactored) score of
            each suggestion.
            This is normally not needed, and is NOT the original score
            inserted into the index.
        with_payloads : bool
            Return suggestion payloads
        num : int
            The maximum number of results we return. Note that we might
            return less. The algorithm trims irrelevant suggestions.

        Returns:

        list:
             A list of Suggestion objects. If with_scores was False, the
             score of all suggestions is 1.

        For more information see `FT.SUGGET <https://redis.io/commands/ft.sugget>`_.
        """  # noqa
        args = [SUGGET_COMMAND, key, prefix, "MAX", num]
        if fuzzy:
            args.append(FUZZY)
        if with_scores:
            args.append(WITHSCORES)
        if with_payloads:
            args.append(WITHPAYLOADS)

        ret = await self.execute_command(*args)
        results = []
        if not ret:
            return results

        parser = SuggestionParser(with_scores, with_payloads, ret)
        return [s for s in parser]
