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File Name : query_api_async.cpython-38.pyc
U ܒi?0 � @ sl d Z ddlmZmZ ddlmZ ddlmZmZ ddl m Z ddlmZm Z ddlmZ G d d � d e�ZdS )u� Querying InfluxDB by FluxLang. Flux is InfluxData’s functional data scripting language designed for querying, analyzing, and acting on data. � )�List�AsyncGenerator)� _BaseQueryApi)� FluxRecord� TableList)�QueryOptions)�_UTF_8_encoding�ApiException� )�RESTResponseAsyncc s� e Zd ZdZe� f� fdd� Zdeeed�dd�Z deee d d�d d �Zdeee ee d�d d�Zdeee ee d�dd�Zdejdfeed�dd�Zdd� Z� ZS )� QueryApiAsyncz9Asynchronous implementation for '/api/v2/query' endpoint.c s t � j||d� dS )z[ Initialize query client. :param influxdb_client: influxdb client )�influxdb_client� query_optionsN)�super�__init__)�selfr r �� __class__� �W/opt/alt/python38/lib/python3.8/site-packages/influxdb_client/client/query_api_async.pyr s zQueryApiAsync.__init__N)�query�params�returnc � sB | � |�}| j|| �|| j|�d�I dH }| j|| �� d�I dH S )a Execute asynchronous Flux query and return result as a :class:`~influxdb_client.client.flux_table.FluxTable` list. :param query: the Flux query :param str, Organization org: specifies the organization for executing the query; Take the ``ID``, ``Name`` or ``Organization``. If not specified the default value from ``InfluxDBClientAsync.org`` is used. :param params: bind parameters :return: :class:`~influxdb_client.client.flux_table.FluxTable` list wrapped into :class:`~influxdb_client.client.flux_table.TableList` :rtype: TableList Serialization the query results to flattened list of values via :func:`~influxdb_client.client.flux_table.TableList.to_values`: .. code-block:: python from influxdb_client import InfluxDBClient async with InfluxDBClientAsync(url="http://localhost:8086", token="my-token", org="my-org") as client: # Query: using Table structure tables = await client.query_api().query('from(bucket:"my-bucket") |> range(start: -10m)') # Serialize to values output = tables.to_values(columns=['location', '_time', '_value']) print(output) .. code-block:: python [ ['New York', datetime.datetime(2022, 6, 7, 11, 3, 22, 917593, tzinfo=tzutc()), 24.3], ['Prague', datetime.datetime(2022, 6, 7, 11, 3, 22, 917593, tzinfo=tzutc()), 25.3], ... ] Serialization the query results to JSON via :func:`~influxdb_client.client.flux_table.TableList.to_json`: .. code-block:: python from influxdb_client.client.influxdb_client_async import InfluxDBClientAsync async with InfluxDBClientAsync(url="http://localhost:8086", token="my-token", org="my-org") as client: # Query: using Table structure tables = await client.query_api().query('from(bucket:"my-bucket") |> range(start: -10m)') # Serialize to JSON output = tables.to_json(indent=5) print(output) .. code-block:: javascript [ { "_measurement": "mem", "_start": "2021-06-23T06:50:11.897825+00:00", "_stop": "2021-06-25T06:50:11.897825+00:00", "_time": "2020-02-27T16:20:00.897825+00:00", "region": "north", "_field": "usage", "_value": 15 }, { "_measurement": "mem", "_start": "2021-06-23T06:50:11.897825+00:00", "_stop": "2021-06-25T06:50:11.897825+00:00", "_time": "2020-02-27T16:20:01.897825+00:00", "region": "west", "_field": "usage", "_value": 10 }, ... ] ��orgr N�r )� _org_param�_post_query� _create_query�default_dialectZ_to_tables_async�_get_query_options�r r r r �responser r r r s J zQueryApiAsync.query)r Nc � sB | � |�}| j|| �|| j|�d�I dH }| j|| �� d�I dH S )a� Execute asynchronous Flux query and return stream of :class:`~influxdb_client.client.flux_table.FluxRecord` as an AsyncGenerator[:class:`~influxdb_client.client.flux_table.FluxRecord`]. :param query: the Flux query :param str, Organization org: specifies the organization for executing the query; Take the ``ID``, ``Name`` or ``Organization``. If not specified the default value from ``InfluxDBClientAsync.org`` is used. :param params: bind parameters :return: AsyncGenerator[:class:`~influxdb_client.client.flux_table.FluxRecord`] r Nr )r r r r Z_to_flux_record_stream_asyncr r! r r r �query_streamj s zQueryApiAsync.query_streamF)r �data_frame_indexr �use_extension_dtypesc � sF | j |||||d�I dH }g }|2 z3 dH W }|�|� q"6 | �|�S )a� Execute asynchronous Flux query and return :class:`~pandas.core.frame.DataFrame`. .. note:: If the ``query`` returns tables with differing schemas than the client generates a :class:`~DataFrame` for each of them. :param query: the Flux query :param str, Organization org: specifies the organization for executing the query; Take the ``ID``, ``Name`` or ``Organization``. If not specified the default value from ``InfluxDBClientAsync.org`` is used. :param data_frame_index: the list of columns that are used as DataFrame index :param params: bind parameters :param use_extension_dtypes: set to ``True`` to use panda's extension data types. Useful for queries with ``pivot`` function. When data has missing values, column data type may change (to ``object`` or ``float64``). Nullable extension types (``Int64``, ``Float64``, ``boolean``) support ``panda.NA`` value. For more info, see https://pandas.pydata.org/docs/user_guide/missing_data.html. :return: :class:`~DataFrame` or :class:`~List[DataFrame]` .. warning:: For the optimal processing of the query results use the ``pivot() function`` which align results as a table. .. code-block:: text from(bucket:"my-bucket") |> range(start: -5m, stop: now()) |> filter(fn: (r) => r._measurement == "mem") |> pivot(rowKey:["_time"], columnKey: ["_field"], valueColumn: "_value") For more info see: - https://docs.influxdata.com/resources/videos/pivots-in-flux/ - https://docs.influxdata.com/flux/latest/stdlib/universe/pivot/ - https://docs.influxdata.com/flux/latest/stdlib/influxdata/influxdb/schema/fieldsascols/ )r r$ r r% N)�query_data_frame_stream�appendZ_to_data_frames) r r r r$ r r% Z _generatorZ dataframesZ dataframer r r �query_data_frame{ s " �zQueryApiAsync.query_data_framec � sJ | � |�}| j|| j|| j|dd�d�I dH }| j||| �� |d�I dH S )a$ Execute asynchronous Flux query and return stream of :class:`~pandas.core.frame.DataFrame` as an AsyncGenerator[:class:`~pandas.core.frame.DataFrame`]. .. note:: If the ``query`` returns tables with differing schemas than the client generates a :class:`~DataFrame` for each of them. :param query: the Flux query :param str, Organization org: specifies the organization for executing the query; Take the ``ID``, ``Name`` or ``Organization``. If not specified the default value from ``InfluxDBClientAsync.org`` is used. :param data_frame_index: the list of columns that are used as DataFrame index :param params: bind parameters :param use_extension_dtypes: set to ``True`` to use panda's extension data types. Useful for queries with ``pivot`` function. When data has missing values, column data type may change (to ``object`` or ``float64``). Nullable extension types (``Int64``, ``Float64``, ``boolean``) support ``panda.NA`` value. For more info, see https://pandas.pydata.org/docs/user_guide/missing_data.html. :return: :class:`AsyncGenerator[:class:`DataFrame`]` .. warning:: For the optimal processing of the query results use the ``pivot() function`` which align results as a table. .. code-block:: text from(bucket:"my-bucket") |> range(start: -5m, stop: now()) |> filter(fn: (r) => r._measurement == "mem") |> pivot(rowKey:["_time"], columnKey: ["_field"], valueColumn: "_value") For more info see: - https://docs.influxdata.com/resources/videos/pivots-in-flux/ - https://docs.influxdata.com/flux/latest/stdlib/universe/pivot/ - https://docs.influxdata.com/flux/latest/stdlib/influxdata/influxdb/schema/fieldsascols/ T)Zdataframe_queryr N)r$ r"