fix: Polars optional import

influxdb_client_3/__init__.py

@@ -1,5 +1,4 @@
 import urllib.parse
-
 import pyarrow as pa
 import importlib.util
 

influxdb_client_3/write_client/client/_base.py

@@ -7,8 +7,7 @@
 import os
 from typing import Iterable
 
-from influxdb_client_3.write_client.client.write.dataframe_serializer import DataframeSerializer, \
-    PolarsDataframeSerializer
+from influxdb_client_3.write_client.client.write.dataframe_serializer import DataframeSerializer
 from influxdb_client_3.write_client.configuration import Configuration
 from influxdb_client_3.write_client.rest import _UTF_8_encoding
 from influxdb_client_3.write_client.service.write_service import WriteService
@@ -249,6 +248,7 @@
             self._serialize(Point.from_dict(record, write_precision=write_precision, **kwargs),
                             write_precision, payload, **kwargs)
         elif 'polars' in str(type(record)):
+            from influxdb_client_3.write_client.client.write.dataframe_serializer import PolarsDataframeSerializer
             serializer = PolarsDataframeSerializer(record, self._point_settings, write_precision, **kwargs)
             self._serialize(serializer.serialize(), write_precision, payload, **kwargs)
 

influxdb_client_3/write_client/client/write/dataframe_serializer.py

@@ -284,137 +284,6 @@ def number_of_chunks(self):
         return self.number_of_chunks
 
 
-class PolarsDataframeSerializer:
-    """Serialize DataFrame into LineProtocols."""
-
-    def __init__(self, data_frame, point_settings, precision=DEFAULT_WRITE_PRECISION, chunk_size: int = None,
-                 **kwargs) -> None:
-        """
-        Init serializer.
-
-        :param data_frame: Polars DataFrame to serialize
-        :param point_settings: Default Tags
-        :param precision: The precision for the unix timestamps within the body line-protocol.
-        :param chunk_size: The size of chunk for serializing into chunks.
-        :key data_frame_measurement_name: name of measurement for writing Polars DataFrame
-        :key data_frame_tag_columns: list of DataFrame columns which are tags, rest columns will be fields
-        :key data_frame_timestamp_column: name of DataFrame column which contains a timestamp.
-        :key data_frame_timestamp_timezone: name of the timezone which is used for timestamp column
-        """
-
-        self.data_frame = data_frame
-        self.point_settings = point_settings
-        self.precision = precision
-        self.chunk_size = chunk_size
-        self.measurement_name = kwargs.get("data_frame_measurement_name", "measurement")
-        self.tag_columns = kwargs.get("data_frame_tag_columns", [])
-        self.timestamp_column = kwargs.get("data_frame_timestamp_column", None)
-        self.timestamp_timezone = kwargs.get("data_frame_timestamp_timezone", None)
-
-        self.column_indices = {name: index for index, name in enumerate(data_frame.columns)}
-
-        if self.timestamp_column is None or self.timestamp_column not in self.column_indices:
-            raise ValueError(
-                f"Timestamp column {self.timestamp_column} not found in DataFrame. Please define a valid timestamp "
-                f"column.")
-
-        #
-        # prepare chunks
-        #
-        if chunk_size is not None:
-            self.number_of_chunks = int(math.ceil(len(data_frame) / float(chunk_size)))
-            self.chunk_size = chunk_size
-        else:
-            self.number_of_chunks = None
-
-    def escape_key(self, value):
-        return str(value).translate(_ESCAPE_KEY)
-
-    def escape_value(self, value):
-        return str(value).translate(_ESCAPE_STRING)
-
-    def to_line_protocol(self, row):
-        # Filter out None or empty values for tags
-        tags = ""
-
-        tags = ",".join(
-            f'{self.escape_key(col)}={self.escape_key(row[self.column_indices[col]])}'
-            for col in self.tag_columns
-            if row[self.column_indices[col]] is not None and row[self.column_indices[col]] != ""
-        )
-
-        if self.point_settings.defaultTags:
-            default_tags = ",".join(
-                f'{self.escape_key(key)}={self.escape_key(value)}'
-                for key, value in self.point_settings.defaultTags.items()
-            )
-            # Ensure there's a comma between existing tags and default tags if both are present
-            if tags and default_tags:
-                tags += ","
-            tags += default_tags
-
-        # add escape symbols for special characters to tags
-
-        fields = ",".join(
-            f"{col}=\"{self.escape_value(row[self.column_indices[col]])}\"" if isinstance(row[self.column_indices[col]],
-                                                                                          str)
-            else f"{col}={str(row[self.column_indices[col]]).lower()}" if isinstance(row[self.column_indices[col]],
-                                                                                     bool)  # Check for bool first
-            else f"{col}={row[self.column_indices[col]]}i" if isinstance(row[self.column_indices[col]], int)
-            else f"{col}={row[self.column_indices[col]]}"
-            for col in self.column_indices
-            if col not in self.tag_columns + [self.timestamp_column] and
-            row[self.column_indices[col]] is not None and row[self.column_indices[col]] != ""
-        )
-
-        # Access the Unix timestamp
-        timestamp = row[self.column_indices[self.timestamp_column]]
-        if tags != "":
-            line_protocol = f"{self.measurement_name},{tags} {fields} {timestamp}"
-        else:
-            line_protocol = f"{self.measurement_name} {fields} {timestamp}"
-
-        return line_protocol
-
-    def serialize(self, chunk_idx: int = None):
-        from ...extras import pl
-
-        df = self.data_frame
-
-        # Check if the timestamp column is already an integer
-        if df[self.timestamp_column].dtype in [pl.Int32, pl.Int64]:
-            # The timestamp column is already an integer, assuming it's in Unix format
-            pass
-        else:
-            # Convert timestamp to Unix timestamp based on specified precision
-            if self.precision in [None, 'ns']:
-                df = df.with_columns(
-                    pl.col(self.timestamp_column).dt.epoch(time_unit="ns").alias(self.timestamp_column))
-            elif self.precision == 'us':
-                df = df.with_columns(
-                    pl.col(self.timestamp_column).dt.epoch(time_unit="us").alias(self.timestamp_column))
-            elif self.precision == 'ms':
-                df = df.with_columns(
-                    pl.col(self.timestamp_column).dt.epoch(time_unit="ms").alias(self.timestamp_column))
-            elif self.precision == 's':
-                df = df.with_columns(pl.col(self.timestamp_column).dt.epoch(time_unit="s").alias(self.timestamp_column))
-            else:
-                raise ValueError(f"Unsupported precision: {self.precision}")
-
-        if chunk_idx is None:
-            chunk = df
-        else:
-            logger.debug("Serialize chunk %s/%s ...", chunk_idx + 1, self.number_of_chunks)
-            chunk = df[chunk_idx * self.chunk_size:(chunk_idx + 1) * self.chunk_size]
-
-        # Apply the UDF to each row
-        line_protocol_expr = chunk.apply(self.to_line_protocol, return_dtype=pl.Object)
-
-        lp = line_protocol_expr['map'].to_list()
-
-        return lp
-
-
 def data_frame_to_list_of_points(data_frame, point_settings, precision=DEFAULT_WRITE_PRECISION, **kwargs):
     """
     Serialize DataFrame into LineProtocols.
@@ -430,20 +299,3 @@ def data_frame_to_list_of_points(data_frame, point_settings, precision=DEFAULT_W
     :key data_frame_timestamp_timezone: name of the timezone which is used for timestamp column - ``DataFrame``
     """  # noqa: E501
     return DataframeSerializer(data_frame, point_settings, precision, **kwargs).serialize()
-
-
-def polars_data_frame_to_list_of_points(data_frame, point_settings, precision=DEFAULT_WRITE_PRECISION, **kwargs):
-    """
-    Serialize DataFrame into LineProtocols.
-
-    :param data_frame: Pandas DataFrame to serialize
-    :param point_settings: Default Tags
-    :param precision: The precision for the unix timestamps within the body line-protocol.
-    :key data_frame_measurement_name: name of measurement for writing Pandas DataFrame
-    :key data_frame_tag_columns: list of DataFrame columns which are tags, rest columns will be fields
-    :key data_frame_timestamp_column: name of DataFrame column which contains a timestamp. The column can be defined as a :class:`~str` value
-                                      formatted as `2018-10-26`, `2018-10-26 12:00`, `2018-10-26 12:00:00-05:00`
-                                      or other formats and types supported by `pandas.to_datetime <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.to_datetime.html#pandas.to_datetime>`_ - ``DataFrame``
-    :key data_frame_timestamp_timezone: name of the timezone which is used for timestamp column - ``DataFrame``
-    """  # noqa: E501
-    return PolarsDataframeSerializer(data_frame, point_settings, precision, **kwargs).serialize()

influxdb_client_3/write_client/client/write/polars_dataframe_serializer.py

@@ -0,0 +1,160 @@
+"""
+Functions for serialize Polars DataFrame.
+
+Much of the code here is inspired by that in the aioinflux packet found here: https://github.com/gusutabopb/aioinflux
+"""
+
+import logging
+import math
+
+from influxdb_client_3.write_client.client.write.point import _ESCAPE_KEY, _ESCAPE_STRING, DEFAULT_WRITE_PRECISION
+
+logger = logging.getLogger('influxdb_client.client.write.polars_dataframe_serializer')
+
+
+class PolarsDataframeSerializer:
+    """Serialize DataFrame into LineProtocols."""
+
+    def __init__(self, data_frame, point_settings, precision=DEFAULT_WRITE_PRECISION, chunk_size: int = None,
+                 **kwargs) -> None:
+        """
+        Init serializer.
+
+        :param data_frame: Polars DataFrame to serialize
+        :param point_settings: Default Tags
+        :param precision: The precision for the unix timestamps within the body line-protocol.
+        :param chunk_size: The size of chunk for serializing into chunks.
+        :key data_frame_measurement_name: name of measurement for writing Polars DataFrame
+        :key data_frame_tag_columns: list of DataFrame columns which are tags, rest columns will be fields
+        :key data_frame_timestamp_column: name of DataFrame column which contains a timestamp.
+        :key data_frame_timestamp_timezone: name of the timezone which is used for timestamp column
+        """
+
+        self.data_frame = data_frame
+        self.point_settings = point_settings
+        self.precision = precision
+        self.chunk_size = chunk_size
+        self.measurement_name = kwargs.get("data_frame_measurement_name", "measurement")
+        self.tag_columns = kwargs.get("data_frame_tag_columns", [])
+        self.timestamp_column = kwargs.get("data_frame_timestamp_column", None)
+        self.timestamp_timezone = kwargs.get("data_frame_timestamp_timezone", None)
+
+        self.column_indices = {name: index for index, name in enumerate(data_frame.columns)}
+
+        if self.timestamp_column is None or self.timestamp_column not in self.column_indices:
+            raise ValueError(
+                f"Timestamp column {self.timestamp_column} not found in DataFrame. Please define a valid timestamp "
+                f"column.")
+
+        #
+        # prepare chunks
+        #
+        if chunk_size is not None:
+            self.number_of_chunks = int(math.ceil(len(data_frame) / float(chunk_size)))
+            self.chunk_size = chunk_size
+        else:
+            self.number_of_chunks = None
+
+    def escape_key(self, value):
+        return str(value).translate(_ESCAPE_KEY)
+
+    def escape_value(self, value):
+        return str(value).translate(_ESCAPE_STRING)
+
+    def to_line_protocol(self, row):
+        # Filter out None or empty values for tags
+        tags = ""
+
+        tags = ",".join(
+            f'{self.escape_key(col)}={self.escape_key(row[self.column_indices[col]])}'
+            for col in self.tag_columns
+            if row[self.column_indices[col]] is not None and row[self.column_indices[col]] != ""
+        )
+
+        if self.point_settings.defaultTags:
+            default_tags = ",".join(
+                f'{self.escape_key(key)}={self.escape_key(value)}'
+                for key, value in self.point_settings.defaultTags.items()
+            )
+            # Ensure there's a comma between existing tags and default tags if both are present
+            if tags and default_tags:
+                tags += ","
+            tags += default_tags
+
+        # add escape symbols for special characters to tags
+
+        fields = ",".join(
+            f"{col}=\"{self.escape_value(row[self.column_indices[col]])}\"" if isinstance(row[self.column_indices[col]],
+                                                                                          str)
+            else f"{col}={str(row[self.column_indices[col]]).lower()}" if isinstance(row[self.column_indices[col]],
+                                                                                     bool)  # Check for bool first
+            else f"{col}={row[self.column_indices[col]]}i" if isinstance(row[self.column_indices[col]], int)
+            else f"{col}={row[self.column_indices[col]]}"
+            for col in self.column_indices
+            if col not in self.tag_columns + [self.timestamp_column] and
+            row[self.column_indices[col]] is not None and row[self.column_indices[col]] != ""
+        )
+
+        # Access the Unix timestamp
+        timestamp = row[self.column_indices[self.timestamp_column]]
+        if tags != "":
+            line_protocol = f"{self.measurement_name},{tags} {fields} {timestamp}"
+        else:
+            line_protocol = f"{self.measurement_name} {fields} {timestamp}"
+
+        return line_protocol
+
+    def serialize(self, chunk_idx: int = None):
+        import polars as pl
+
+        df = self.data_frame
+
+        # Check if the timestamp column is already an integer
+        if df[self.timestamp_column].dtype in [pl.Int32, pl.Int64]:
+            # The timestamp column is already an integer, assuming it's in Unix format
+            pass
+        else:
+            # Convert timestamp to Unix timestamp based on specified precision
+            if self.precision in [None, 'ns']:
+                df = df.with_columns(
+                    pl.col(self.timestamp_column).dt.epoch(time_unit="ns").alias(self.timestamp_column))
+            elif self.precision == 'us':
+                df = df.with_columns(
+                    pl.col(self.timestamp_column).dt.epoch(time_unit="us").alias(self.timestamp_column))
+            elif self.precision == 'ms':
+                df = df.with_columns(
+                    pl.col(self.timestamp_column).dt.epoch(time_unit="ms").alias(self.timestamp_column))
+            elif self.precision == 's':
+                df = df.with_columns(pl.col(self.timestamp_column).dt.epoch(time_unit="s").alias(self.timestamp_column))
+            else:
+                raise ValueError(f"Unsupported precision: {self.precision}")
+
+        if chunk_idx is None:
+            chunk = df
+        else:
+            logger.debug("Serialize chunk %s/%s ...", chunk_idx + 1, self.number_of_chunks)
+            chunk = df[chunk_idx * self.chunk_size:(chunk_idx + 1) * self.chunk_size]
+
+        # Apply the UDF to each row
+        line_protocol_expr = chunk.apply(self.to_line_protocol, return_dtype=pl.Object)
+
+        lp = line_protocol_expr['map'].to_list()
+
+        return lp
+
+
+def polars_data_frame_to_list_of_points(data_frame, point_settings, precision=DEFAULT_WRITE_PRECISION, **kwargs):
+    """
+    Serialize DataFrame into LineProtocols.
+
+    :param data_frame: Pandas DataFrame to serialize
+    :param point_settings: Default Tags
+    :param precision: The precision for the unix timestamps within the body line-protocol.
+    :key data_frame_measurement_name: name of measurement for writing Pandas DataFrame
+    :key data_frame_tag_columns: list of DataFrame columns which are tags, rest columns will be fields
+    :key data_frame_timestamp_column: name of DataFrame column which contains a timestamp. The column can be defined as a :class:`~str` value
+                                      formatted as `2018-10-26`, `2018-10-26 12:00`, `2018-10-26 12:00:00-05:00`
+                                      or other formats and types supported by `pandas.to_datetime <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.to_datetime.html#pandas.to_datetime>`_ - ``DataFrame``
+    :key data_frame_timestamp_timezone: name of the timezone which is used for timestamp column - ``DataFrame``
+    """  # noqa: E501
+    return PolarsDataframeSerializer(data_frame, point_settings, precision, **kwargs).serialize()

influxdb_client_3/write_client/client/write_api.py

@@ -19,8 +19,7 @@
 from influxdb_client_3.write_client.domain import WritePrecision
 from influxdb_client_3.write_client.client._base import _BaseWriteApi, _HAS_DATACLASS
 from influxdb_client_3.write_client.client.util.helpers import get_org_query_param
-from influxdb_client_3.write_client.client.write.dataframe_serializer import (DataframeSerializer,
-                                                                              PolarsDataframeSerializer)
+from influxdb_client_3.write_client.client.write.dataframe_serializer import DataframeSerializer
 from influxdb_client_3.write_client.client.write.point import Point, DEFAULT_WRITE_PRECISION
 from influxdb_client_3.write_client.client.write.retry import WritesRetry
 from influxdb_client_3.write_client.rest import _UTF_8_encoding
@@ -462,6 +461,7 @@
                                  precision, **kwargs)
 
         elif 'polars' in str(type(data)):
+            from influxdb_client_3.write_client.client.write.dataframe_serializer import PolarsDataframeSerializer
             serializer = PolarsDataframeSerializer(data,
                                                    self._point_settings, precision,
                                                    self._write_options.batch_size, **kwargs)

influxdb_client_3/write_client/extras.py

@@ -10,9 +10,4 @@
 except ModuleNotFoundError as err:
     raise ImportError(f"`data_frame` requires numpy which couldn't be imported due: {err}")
 
-try:
-    import polars as pl
-except ModuleNotFoundError as err:
-    raise ImportError(f"`polars_frame` requires polars which couldn't be imported due: {err}")
-
-__all__ = ['pd', 'np', 'pl']
+__all__ = ['pd', 'np']

tests/data/iot.csv

@@ -0,0 +1,4 @@
+name,building,temperature,time
+iot-devices,5a,72.3,2022-10-01T12:01:00Z
+iot-devices,5a,72.1,2022-10-02T12:01:00Z
+iot-devices,5a,72.2,2022-10-03T12:01:00Z