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glide.async_commands.ft

module for vector search commands.

create(client, index_name, schema, options=None) async

Creates an index and initiates a backfill of that index.

Parameters:

Name Type Description Default
client TGlideClient

The client to execute the command.

 required
index_name TEncodable

The index name.

 required
schema List[Field]

Fields to populate into the index. Equivalent to SCHEMA block in the module API.

 required
options Optional[FtCreateOptions]

Optional arguments for the FT.CREATE command.

 None

Returns:

Name Type Description
TOK TOK

A simple "OK" response.

Examples:

>>> from glide import ft
>>> schema: List[Field] = [TextField("title")]
>>> prefixes: List[str] = ["blog:post:"]
>>> await ft.create(glide_client, "my_idx1", schema, FtCreateOptions(DataType.HASH, prefixes))
    'OK'  # Indicates successful creation of index named 'idx'
Source code in doc-gen/valkey-glide/python/glide-async/python/glide/async_commands/ft.py 
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async def create(
    client: TGlideClient,
    index_name: TEncodable,
    schema: List[Field],
    options: Optional[FtCreateOptions] = None,
) -> TOK:
    """
    Creates an index and initiates a backfill of that index.

    Args:
        client (TGlideClient): The client to execute the command.
        index_name (TEncodable): The index name.
        schema (List[Field]): Fields to populate into the index. Equivalent to `SCHEMA` block in the module API.
        options (Optional[FtCreateOptions]): Optional arguments for the FT.CREATE command.

    Returns:
        TOK: A simple "OK" response.

    Examples:
        >>> from glide import ft
        >>> schema: List[Field] = [TextField("title")]
        >>> prefixes: List[str] = ["blog:post:"]
        >>> await ft.create(glide_client, "my_idx1", schema, FtCreateOptions(DataType.HASH, prefixes))
            'OK'  # Indicates successful creation of index named 'idx'
    """
    args: List[TEncodable] = [CommandNames.FT_CREATE, index_name]
    if options:
        args.extend(options.to_args())
    if schema:
        args.append(FtCreateKeywords.SCHEMA)
        for field in schema:
            args.extend(field.to_args())
    return cast(TOK, await client.custom_command(args))

dropindex(client, index_name) async

Drops an index. The index definition and associated content are deleted. Keys are unaffected.

Parameters:

Name Type Description Default
client TGlideClient

The client to execute the command.

 required
index_name TEncodable

The index name for the index to be dropped.

 required

Returns:

Name Type Description
TOK TOK

A simple "OK" response.

Examples:

For the following example to work, an index named 'idx' must be already created. If not created, you will get an error.

>>> from glide import ft
>>> index_name = "idx"
>>> await ft.dropindex(glide_client, index_name)
    'OK'  # Indicates successful deletion/dropping of index named 'idx'
Source code in doc-gen/valkey-glide/python/glide-async/python/glide/async_commands/ft.py 
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async def dropindex(client: TGlideClient, index_name: TEncodable) -> TOK:
    """
    Drops an index. The index definition and associated content are deleted. Keys are unaffected.

    Args:
        client (TGlideClient): The client to execute the command.
        index_name (TEncodable): The index name for the index to be dropped.

    Returns:
        TOK: A simple "OK" response.

    Examples:
        For the following example to work, an index named 'idx' must be already created. If not created, you will get an error.
        >>> from glide import ft
        >>> index_name = "idx"
        >>> await ft.dropindex(glide_client, index_name)
            'OK'  # Indicates successful deletion/dropping of index named 'idx'
    """
    args: List[TEncodable] = [CommandNames.FT_DROPINDEX, index_name]
    return cast(TOK, await client.custom_command(args))

list(client) async

Lists all indexes.

Parameters:

Name Type Description Default
client TGlideClient

The client to execute the command.

 required

Returns:

Type Description
List[TEncodable]

List[TEncodable]: An array of index names.

Examples:

>>> from glide import ft
>>> await ft.list(glide_client)
    [b"index1", b"index2"]
Source code in doc-gen/valkey-glide/python/glide-async/python/glide/async_commands/ft.py 
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async def list(client: TGlideClient) -> List[TEncodable]:
    """
    Lists all indexes.

    Args:
        client (TGlideClient): The client to execute the command.

    Returns:
        List[TEncodable]: An array of index names.

    Examples:
        >>> from glide import ft
        >>> await ft.list(glide_client)
            [b"index1", b"index2"]
    """
    return cast(List[TEncodable], await client.custom_command([CommandNames.FT_LIST]))

search(client, index_name, query, options) async

Uses the provided query expression to locate keys within an index. Once located, the count and/or the content of indexed fields within those keys can be returned.

Parameters:

Name Type Description Default
client TGlideClient

The client to execute the command.

 required
index_name TEncodable

The index name to search into.

 required
query TEncodable

The text query to search.

 required
options Optional[FtSearchOptions]

The search options.

 required

Returns:

Name Type Description
FtSearchResponse FtSearchResponse

A two element array, where first element is count of documents in result set, and the second element, which has the format Mapping[TEncodable, Mapping[TEncodable, TEncodable]] is a mapping between document names and map of their attributes.
FtSearchResponse

If count(option in FtSearchOptions) is set to true or limit(option in FtSearchOptions) is set to FtSearchLimit(0, 0), the command returns array with only one element - the count of the documents.

Examples:

For the following example to work the following must already exist: - An index named "idx", with fields having identifiers as "a" and "b" and prefix as "{json:}" - A key named {json:}1 with value {"a":1, "b":2}

>>> from glide import ft
>>> await ft.search(
...     glide_client,
...     "idx",
...     "*",
...     options=FtSeachOptions(
...         return_fields=[
...             ReturnField(field_identifier="first"),
...             ReturnField(field_identifier="second")
...         ]
...     )
... )
[1, { b'json:1': { b'first': b'42', b'second': b'33' } }]
# The first element, 1 is the number of keys returned in the search result. The second element is a map of
# data queried per key.
Source code in doc-gen/valkey-glide/python/glide-async/python/glide/async_commands/ft.py 
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async def search(
    client: TGlideClient,
    index_name: TEncodable,
    query: TEncodable,
    options: Optional[FtSearchOptions],
) -> FtSearchResponse:
    """
    Uses the provided query expression to locate keys within an index. Once located, the count and/or the content of indexed
    fields within those keys can be returned.

    Args:
        client (TGlideClient): The client to execute the command.
        index_name (TEncodable): The index name to search into.
        query (TEncodable): The text query to search.
        options (Optional[FtSearchOptions]): The search options.

    Returns:
        FtSearchResponse: A two element array, where first element is count of documents in result set, and the second
            element, which has the format Mapping[TEncodable, Mapping[TEncodable, TEncodable]] is a mapping between document
            names and map of their attributes.
        If count(option in `FtSearchOptions`) is set to true or limit(option in `FtSearchOptions`) is set to
            FtSearchLimit(0, 0), the command returns array with only one element - the count of the documents.

    Examples:
        For the following example to work the following must already exist:
        - An index named "idx", with fields having identifiers as "a" and "b" and prefix as "{json:}"
        - A key named {json:}1 with value {"a":1, "b":2}

        >>> from glide import ft
        >>> await ft.search(
        ...     glide_client,
        ...     "idx",
        ...     "*",
        ...     options=FtSeachOptions(
        ...         return_fields=[
        ...             ReturnField(field_identifier="first"),
        ...             ReturnField(field_identifier="second")
        ...         ]
        ...     )
        ... )
        [1, { b'json:1': { b'first': b'42', b'second': b'33' } }]
        # The first element, 1 is the number of keys returned in the search result. The second element is a map of
        # data queried per key.
    """
    args: List[TEncodable] = [CommandNames.FT_SEARCH, index_name, query]
    if options:
        args.extend(options.to_args())
    return cast(FtSearchResponse, await client.custom_command(args))

aliasadd(client, alias, index_name) async

Adds an alias for an index. The new alias name can be used anywhere that an index name is required.

Parameters:

Name Type Description Default
client TGlideClient

The client to execute the command.

 required
alias TEncodable

The alias to be added to an index.

 required
index_name TEncodable

The index name for which the alias has to be added.

 required

Returns:

Name Type Description
TOK TOK

A simple "OK" response.

Examples:

>>> from glide import ft
>>> await ft.aliasadd(glide_client, "myalias", "myindex")
    'OK'  # Indicates the successful addition of the alias named "myalias" for the index.
Source code in doc-gen/valkey-glide/python/glide-async/python/glide/async_commands/ft.py 
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async def aliasadd(
    client: TGlideClient, alias: TEncodable, index_name: TEncodable
) -> TOK:
    """
    Adds an alias for an index. The new alias name can be used anywhere that an index name is required.

    Args:
        client (TGlideClient): The client to execute the command.
        alias (TEncodable): The alias to be added to an index.
        index_name (TEncodable): The index name for which the alias has to be added.

    Returns:
        TOK: A simple "OK" response.

    Examples:
        >>> from glide import ft
        >>> await ft.aliasadd(glide_client, "myalias", "myindex")
            'OK'  # Indicates the successful addition of the alias named "myalias" for the index.
    """
    args: List[TEncodable] = [CommandNames.FT_ALIASADD, alias, index_name]
    return cast(TOK, await client.custom_command(args))

aliasdel(client, alias) async

Deletes an existing alias for an index.

Parameters:

Name Type Description Default
client TGlideClient

The client to execute the command.

 required
alias TEncodable

The existing alias to be deleted for an index.

 required

Returns:

Name Type Description
TOK TOK

A simple "OK" response.

Examples:

>>> from glide import ft
>>> await ft.aliasdel(glide_client, "myalias")
    'OK'  # Indicates the successful deletion of the alias named "myalias"
Source code in doc-gen/valkey-glide/python/glide-async/python/glide/async_commands/ft.py 
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async def aliasdel(client: TGlideClient, alias: TEncodable) -> TOK:
    """
    Deletes an existing alias for an index.

    Args:
        client (TGlideClient): The client to execute the command.
        alias (TEncodable): The existing alias to be deleted for an index.

    Returns:
        TOK: A simple "OK" response.

    Examples:
        >>> from glide import ft
        >>> await ft.aliasdel(glide_client, "myalias")
            'OK'  # Indicates the successful deletion of the alias named "myalias"
    """
    args: List[TEncodable] = [CommandNames.FT_ALIASDEL, alias]
    return cast(TOK, await client.custom_command(args))

aliasupdate(client, alias, index_name) async

Updates an existing alias to point to a different physical index. This command only affects future references to the alias.

Parameters:

Name Type Description Default
client TGlideClient

The client to execute the command.

 required
alias TEncodable

The alias name. This alias will now be pointed to a different index.

 required
index_name TEncodable

The index name for which an existing alias has to updated.

 required

Returns:

Name Type Description
TOK TOK

A simple "OK" response.

Examples:

>>> from glide import ft
>>> await ft.aliasupdate(glide_client, "myalias", "myindex")
    'OK'  # Indicates the successful update of the alias to point to the index named "myindex"
Source code in doc-gen/valkey-glide/python/glide-async/python/glide/async_commands/ft.py 
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async def aliasupdate(
    client: TGlideClient, alias: TEncodable, index_name: TEncodable
) -> TOK:
    """
    Updates an existing alias to point to a different physical index. This command only affects future references to the alias.

    Args:
        client (TGlideClient): The client to execute the command.
        alias (TEncodable): The alias name. This alias will now be pointed to a different index.
        index_name (TEncodable): The index name for which an existing alias has to updated.

    Returns:
        TOK: A simple "OK" response.

    Examples:
        >>> from glide import ft
        >>> await ft.aliasupdate(glide_client, "myalias", "myindex")
            'OK'  # Indicates the successful update of the alias to point to the index named "myindex"
    """
    args: List[TEncodable] = [CommandNames.FT_ALIASUPDATE, alias, index_name]
    return cast(TOK, await client.custom_command(args))

info(client, index_name) async

Returns information about a given index.

Parameters:

Name Type Description Default
client TGlideClient

The client to execute the command.

 required
index_name TEncodable

The index name for which the information has to be returned.

 required

Returns:

Name Type Description
FtInfoResponse FtInfoResponse

Nested maps with info about the index. See example for more details.

Examples:

An index with name 'myIndex', 1 text field and 1 vector field is already created for gettting the output of this example.

>>> from glide import ft
>>> await ft.info(glide_client, "myIndex")
    [
        b'index_name',
        b'myIndex',
        b'creation_timestamp', 1729531116945240,
        b'key_type', b'JSON',
        b'key_prefixes', [b'key-prefix'],
        b'fields', [
            [
                b'identifier', b'$.vec',
                b'field_name', b'VEC',
                b'type', b'VECTOR',
                b'option', b'',
                b'vector_params', [
                    b'algorithm',
                    b'HNSW',
                    b'data_type',
                    b'FLOAT32',
                    b'dimension',
                    2,
                    b'distance_metric',
                    b'L2',
                    b'initial_capacity',
                    1000,
                    b'current_capacity',
                    1000,
                    b'maximum_edges',
                    16,
                    b'ef_construction',
                    200,
                    b'ef_runtime',
                    10,
                    b'epsilon',
                    b'0.01'
                ]
            ],
            [
                b'identifier', b'$.text-field',
                b'field_name', b'text-field',
                b'type', b'TEXT',
                b'option', b''
            ]
        ],
        b'space_usage', 653351,
        b'fulltext_space_usage', 0,
        b'vector_space_usage', 653351,
        b'num_docs', 0,
        b'num_indexed_vectors', 0,
        b'current_lag', 0,
        b'index_status', b'AVAILABLE',
        b'index_degradation_percentage', 0
    ]
Source code in doc-gen/valkey-glide/python/glide-async/python/glide/async_commands/ft.py 
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async def info(client: TGlideClient, index_name: TEncodable) -> FtInfoResponse:
    """
    Returns information about a given index.

    Args:
        client (TGlideClient): The client to execute the command.
        index_name (TEncodable): The index name for which the information has to be returned.

    Returns:
        FtInfoResponse: Nested maps with info about the index. See example for more details.

    Examples:
        An index with name 'myIndex', 1 text field and 1 vector field is already created for gettting the output of this
        example.
        >>> from glide import ft
        >>> await ft.info(glide_client, "myIndex")
            [
                b'index_name',
                b'myIndex',
                b'creation_timestamp', 1729531116945240,
                b'key_type', b'JSON',
                b'key_prefixes', [b'key-prefix'],
                b'fields', [
                    [
                        b'identifier', b'$.vec',
                        b'field_name', b'VEC',
                        b'type', b'VECTOR',
                        b'option', b'',
                        b'vector_params', [
                            b'algorithm',
                            b'HNSW',
                            b'data_type',
                            b'FLOAT32',
                            b'dimension',
                            2,
                            b'distance_metric',
                            b'L2',
                            b'initial_capacity',
                            1000,
                            b'current_capacity',
                            1000,
                            b'maximum_edges',
                            16,
                            b'ef_construction',
                            200,
                            b'ef_runtime',
                            10,
                            b'epsilon',
                            b'0.01'
                        ]
                    ],
                    [
                        b'identifier', b'$.text-field',
                        b'field_name', b'text-field',
                        b'type', b'TEXT',
                        b'option', b''
                    ]
                ],
                b'space_usage', 653351,
                b'fulltext_space_usage', 0,
                b'vector_space_usage', 653351,
                b'num_docs', 0,
                b'num_indexed_vectors', 0,
                b'current_lag', 0,
                b'index_status', b'AVAILABLE',
                b'index_degradation_percentage', 0
            ]
    """
    args: List[TEncodable] = [CommandNames.FT_INFO, index_name]
    return cast(FtInfoResponse, await client.custom_command(args))

explain(client, index_name, query) async 

Parse a query and return information about how that query was parsed.

Args:
    client (TGlideClient): The client to execute the command.
    index_name (TEncodable): The index name for which the query is written.
    query (TEncodable): The search query, same as the query passed as an argument to FT.SEARCH.

Returns:
    TEncodable: A string containing the parsed results representing the execution plan.

Examples:
    >>> from glide import ft
    >>> await ft.explain(glide_client, indexName="myIndex", query="@price:[0 10]")
        b'Field {

price 0 10 } ' # Parsed results.

Source code in doc-gen/valkey-glide/python/glide-async/python/glide/async_commands/ft.py 
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async def explain(
    client: TGlideClient, index_name: TEncodable, query: TEncodable
) -> TEncodable:
    """
    Parse a query and return information about how that query was parsed.

    Args:
        client (TGlideClient): The client to execute the command.
        index_name (TEncodable): The index name for which the query is written.
        query (TEncodable): The search query, same as the query passed as an argument to FT.SEARCH.

    Returns:
        TEncodable: A string containing the parsed results representing the execution plan.

    Examples:
        >>> from glide import ft
        >>> await ft.explain(glide_client, indexName="myIndex", query="@price:[0 10]")
            b'Field {\n  price\n  0\n  10\n}\n' # Parsed results.
    """
    args: List[TEncodable] = [CommandNames.FT_EXPLAIN, index_name, query]
    return cast(TEncodable, await client.custom_command(args))

explaincli(client, index_name, query) async

Same as the FT.EXPLAIN command except that the results are displayed in a different format. More useful with cli.

Parameters:

Name Type Description Default
client TGlideClient

The client to execute the command.

 required
index_name TEncodable

The index name for which the query is written.

 required
query TEncodable

The search query, same as the query passed as an argument to FT.SEARCH.

 required

Returns:

Type Description
List[TEncodable]

List[TEncodable]: An array containing the execution plan.

Examples:

>>> from glide import ft
>>> await ft.explaincli(glide_client, indexName="myIndex", query="@price:[0 10]")
    [b'Field {', b'  price', b'  0', b'  10', b'}', b''] # Parsed results.
Source code in doc-gen/valkey-glide/python/glide-async/python/glide/async_commands/ft.py 
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async def explaincli(
    client: TGlideClient, index_name: TEncodable, query: TEncodable
) -> List[TEncodable]:
    """
    Same as the FT.EXPLAIN command except that the results are displayed in a different format. More useful with cli.

    Args:
        client (TGlideClient): The client to execute the command.
        index_name (TEncodable): The index name for which the query is written.
        query (TEncodable): The search query, same as the query passed as an argument to FT.SEARCH.

    Returns:
        List[TEncodable]: An array containing the execution plan.

    Examples:
        >>> from glide import ft
        >>> await ft.explaincli(glide_client, indexName="myIndex", query="@price:[0 10]")
            [b'Field {', b'  price', b'  0', b'  10', b'}', b''] # Parsed results.
    """
    args: List[TEncodable] = [CommandNames.FT_EXPLAINCLI, index_name, query]
    return cast(List[TEncodable], await client.custom_command(args))

aggregate(client, index_name, query, options) async

A superset of the FT.SEARCH command, it allows substantial additional processing of the keys selected by the query expression.

Parameters:

Name Type Description Default
client TGlideClient

The client to execute the command.

 required
index_name TEncodable

The index name for which the query is written.

 required
query TEncodable

The search query, same as the query passed as an argument to FT.SEARCH.

 required
options Optional[FtAggregateOptions]

The optional arguments for the command.

 required

Returns:

Name Type Description
FtAggregateResponse FtAggregateResponse

An array containing a mapping of field name and associated value as returned after the last stage of the command.

Examples:

>>> from glide import ft
>>> await ft.aggregate(
...     glide_client,
...     "myIndex",
...     "*",
...     FtAggregateOptions(
...         loadFields=["__key"],
...         clauses=[GroupBy(["@condition"], [Reducer("COUNT", [], "bicycles")])]
...    )
... )
    [
        {
            b'condition': b'refurbished',
            b'bicycles': b'1'
        },
        {
            b'condition': b'new',
            b'bicycles': b'5'
        },
        {
            b'condition': b'used',
            b'bicycles': b'4'
        }
    ]
Source code in doc-gen/valkey-glide/python/glide-async/python/glide/async_commands/ft.py 
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async def aggregate(
    client: TGlideClient,
    index_name: TEncodable,
    query: TEncodable,
    options: Optional[FtAggregateOptions],
) -> FtAggregateResponse:
    """
    A superset of the FT.SEARCH command, it allows substantial additional processing of the keys selected by the query
    expression.

    Args:
        client (TGlideClient): The client to execute the command.
        index_name (TEncodable): The index name for which the query is written.
        query (TEncodable): The search query, same as the query passed as an argument to FT.SEARCH.
        options (Optional[FtAggregateOptions]): The optional arguments for the command.

    Returns:
        FtAggregateResponse: An array containing a mapping of field name and associated value as returned after the last stage
            of the command.

    Examples:
        >>> from glide import ft
        >>> await ft.aggregate(
        ...     glide_client,
        ...     "myIndex",
        ...     "*",
        ...     FtAggregateOptions(
        ...         loadFields=["__key"],
        ...         clauses=[GroupBy(["@condition"], [Reducer("COUNT", [], "bicycles")])]
        ...    )
        ... )
            [
                {
                    b'condition': b'refurbished',
                    b'bicycles': b'1'
                },
                {
                    b'condition': b'new',
                    b'bicycles': b'5'
                },
                {
                    b'condition': b'used',
                    b'bicycles': b'4'
                }
            ]
    """
    args: List[TEncodable] = [CommandNames.FT_AGGREGATE, index_name, query]
    if options:
        args.extend(options.to_args())
    return cast(FtAggregateResponse, await client.custom_command(args))

profile(client, index_name, options) async

Runs a search or aggregation query and collects performance profiling information.

Parameters:

Name Type Description Default
client TGlideClient

The client to execute the command.

 required
index_name TEncodable

The index name

 required
options FtProfileOptions

Options for the command.

 required

Returns:

Name Type Description
FtProfileResponse FtProfileResponse

A two-element array. The first element contains results of query being profiled, the second element stores profiling information.

Examples:

>>> ftSearchOptions = FtSeachOptions(
...     return_fields=[
...         ReturnField(field_identifier="a", alias="a_new"),
...         ReturnField(field_identifier="b", alias="b_new")
...     ]
... )
>>> await ft.profile(
...     glide_client,
...     "myIndex",
...     FtProfileOptions.from_query_options(query="*", queryOptions=ftSearchOptions)
... )
    [
        [
            2,
            {
                b'key1': {
                    b'a': b'11111',
                    b'b': b'2'
                },
                b'key2': {
                    b'a': b'22222',
                    b'b': b'2'
                }
            }
        ],
        {
            b'all.count': 2,
            b'sync.time': 1,
            b'query.time': 7,
            b'result.count': 2,
            b'result.time': 0
        }
    ]
Source code in doc-gen/valkey-glide/python/glide-async/python/glide/async_commands/ft.py 
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async def profile(
    client: TGlideClient, index_name: TEncodable, options: FtProfileOptions
) -> FtProfileResponse:
    """
    Runs a search or aggregation query and collects performance profiling information.

    Args:
        client (TGlideClient): The client to execute the command.
        index_name (TEncodable): The index name
        options (FtProfileOptions): Options for the command.

    Returns:
        FtProfileResponse: A two-element array. The first element contains results of query being profiled, the second element
            stores profiling information.

    Examples:
        >>> ftSearchOptions = FtSeachOptions(
        ...     return_fields=[
        ...         ReturnField(field_identifier="a", alias="a_new"),
        ...         ReturnField(field_identifier="b", alias="b_new")
        ...     ]
        ... )
        >>> await ft.profile(
        ...     glide_client,
        ...     "myIndex",
        ...     FtProfileOptions.from_query_options(query="*", queryOptions=ftSearchOptions)
        ... )
            [
                [
                    2,
                    {
                        b'key1': {
                            b'a': b'11111',
                            b'b': b'2'
                        },
                        b'key2': {
                            b'a': b'22222',
                            b'b': b'2'
                        }
                    }
                ],
                {
                    b'all.count': 2,
                    b'sync.time': 1,
                    b'query.time': 7,
                    b'result.count': 2,
                    b'result.time': 0
                }
            ]
    """
    args: List[TEncodable] = [CommandNames.FT_PROFILE, index_name] + options.to_args()
    return cast(FtProfileResponse, await client.custom_command(args))

aliaslist(client) async

List the index aliases. Args: client (TGlideClient): The client to execute the command. Returns: Mapping[TEncodable, TEncodable]: A map of index aliases for indices being aliased. Examples: >>> from glide import ft >>> await ft._aliaslist(glide_client) {b'alias': b'index1', b'alias-bytes': b'index2'}

Source code in doc-gen/valkey-glide/python/glide-async/python/glide/async_commands/ft.py 
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async def aliaslist(client: TGlideClient) -> Mapping[TEncodable, TEncodable]:
    """
    List the index aliases.
    Args:
        client (TGlideClient): The client to execute the command.
    Returns:
        Mapping[TEncodable, TEncodable]: A map of index aliases for indices being aliased.
    Examples:
        >>> from glide import ft
        >>> await ft._aliaslist(glide_client)
            {b'alias': b'index1', b'alias-bytes': b'index2'}
    """
    args: List[TEncodable] = [CommandNames.FT_ALIASLIST]
    return cast(Mapping, await client.custom_command(args))