"""
Querying InfluxDB by FluxLang.
Flux is InfluxData’s functional data scripting language designed for querying, analyzing, and acting on data.
"""
from typing import List, AsyncGenerator
from influxdb_client.client._base import _BaseQueryApi
from influxdb_client.client.flux_table import FluxRecord, TableList
from influxdb_client.client.query_api import QueryOptions
from influxdb_client.rest import _UTF_8_encoding, ApiException
from .._async.rest import RESTResponseAsync
class QueryApiAsync(_BaseQueryApi):
"""Asynchronous implementation for '/api/v2/query' endpoint."""
def __init__(self, influxdb_client, query_options=QueryOptions()):
"""
Initialize query client.
:param influxdb_client: influxdb client
"""
super().__init__(influxdb_client=influxdb_client, query_options=query_options)
async def query(self, query: str, org=None, params: dict = None) -> TableList:
"""
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
},
...
]
""" # noqa: E501
org = self._org_param(org)
response = await self._post_query(org=org, query=self._create_query(query, self.default_dialect, params))
return await self._to_tables_async(response, query_options=self._get_query_options())
async def query_stream(self, query: str, org=None, params: dict = None) -> AsyncGenerator['FluxRecord', None]:
"""
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`]
""" # noqa: E501
org = self._org_param(org)
response = await self._post_query(org=org, query=self._create_query(query, self.default_dialect, params))
return await self._to_flux_record_stream_async(response, query_options=self._get_query_options())
async def query_data_frame(self, query: str, org=None, data_frame_index: List[str] = None, params: dict = None,
use_extension_dtypes: bool = False):
"""
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/
""" # noqa: E501
_generator = await self.query_data_frame_stream(query, org=org, data_frame_index=data_frame_index,
params=params, use_extension_dtypes=use_extension_dtypes)
dataframes = []
async for dataframe in _generator:
dataframes.append(dataframe)
return self._to_data_frames(dataframes)
async def query_data_frame_stream(self, query: str, org=None, data_frame_index: List[str] = None,
params: dict = None, use_extension_dtypes: bool = False):
"""
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/
""" # noqa: E501
org = self._org_param(org)
response = await self._post_query(org=org, query=self._create_query(query, self.default_dialect, params,
dataframe_query=True))
return await self._to_data_frame_stream_async(data_frame_index=data_frame_index, response=response,
query_options=self._get_query_options(),
use_extension_dtypes=use_extension_dtypes)
async def query_raw(self, query: str, org=None, dialect=_BaseQueryApi.default_dialect, params: dict = None):
"""
Execute asynchronous Flux query and return result as raw unprocessed result as a str.
:param query: a 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 dialect: csv dialect format
:param params: bind parameters
:return: :class:`~str`
"""
org = self._org_param(org)
result = await self._post_query(org=org, query=self._create_query(query, dialect, params))
raw_bytes = await result.read()
return raw_bytes.decode(_UTF_8_encoding)
async def _post_query(self, org, query):
response = await self._query_api.post_query_async(org=org,
query=query,
async_req=False,
_preload_content=False,
_return_http_data_only=True)
if not 200 <= response.status <= 299:
data = await response.read()
raise ApiException(http_resp=RESTResponseAsync(response, data))
return response