fix: write data frame and write file with batch

CHANGELOG.md

@@ -2,6 +2,10 @@
 
 ## 0.18.0 [unreleased]
 
+### Bug Fixes
+
+1. [#194](https://github.com/InfluxCommunity/influxdb3-python/pull/194): Fix `InfluxDBClient3.write_file()` and `InfluxDBClient3.write_dataframe()` fail with batching mode.  
+
 ## 0.17.0 [2026-01-08]
 
 ### Features

influxdb_client_3/write_client/client/write_api.py

@@ -391,12 +391,9 @@ def write(self, bucket: str, org: str = None,
 
         _async_req = True if self._write_options.write_type == WriteType.asynchronous else False
 
-        # Filter out serializer-specific kwargs before passing to _post_write
-        http_kwargs = {k: v for k, v in kwargs.items() if k not in SERIALIZER_KWARGS}
-
         def write_payload(payload):
             final_string = b'\n'.join(payload[1])
-            return self._post_write(_async_req, bucket, org, final_string, payload[0], no_sync, **http_kwargs)
+            return self._post_write(_async_req, bucket, org, final_string, payload[0], no_sync, **kwargs)
 
         results = list(map(write_payload, payloads.items()))
         if not _async_req:
@@ -586,11 +583,13 @@ def _retry_callback_delegate(exception):
         return _BatchResponse(data=batch_item)
 
     def _post_write(self, _async_req, bucket, org, body, precision, no_sync, **kwargs):
+        # Filter out serializer-specific kwargs before passing to _post_write
+        http_kwargs = {k: v for k, v in kwargs.items() if k not in SERIALIZER_KWARGS}
         return self._write_service.post_write(org=org, bucket=bucket, body=body, precision=precision,
                                               no_sync=no_sync,
                                               async_req=_async_req,
                                               content_type="text/plain; charset=utf-8",
-                                              **kwargs)
+                                              **http_kwargs)
 
     def _to_response(self, data: _BatchItem, delay: timedelta):
 

tests/test_influxdb_client_3_integration.py

@@ -1,12 +1,13 @@
 import logging
 import os
-import pyarrow
-import pytest
 import random
 import string
 import time
 import unittest
 
+import pandas as pd
+import pyarrow
+import pytest
 from urllib3.exceptions import MaxRetryError, TimeoutError as Url3TimeoutError
 
 from influxdb_client_3 import InfluxDBClient3, write_client_options, WriteOptions, \
@@ -48,6 +49,68 @@ def tearDown(self):
         if self.client:
             self.client.close()
 
+    def test_write_dataframe(self):
+        measurement = f'test{random_hex(3)}'.lower()
+        df = pd.DataFrame({
+            'time': pd.to_datetime(['2024-01-01', '2024-01-02']),
+            'city': ['London', 'Paris'],
+            'temperature': [15.0, 18.5]
+        })
+        self.client.write_dataframe(df, measurement=measurement, timestamp_column='time', tags=['city'])
+        self.client.flush()
+
+        result = self.client.query(query=f"select * from {measurement}", mode="pandas")
+
+        self.assertIsNotNone(result)
+        self.assertEqual(2, len(result.get('city')))
+        self.assertEqual(2, len(result.get('temperature')))
+
+    def test_write_dataframe_with_batch(self):
+        self.client = InfluxDBClient3(host=self.host,
+                                      database=self.database,
+                                      token=self.token,
+                                      write_client_options=write_client_options(
+                                          write_options=WriteOptions(batch_size=100)
+                                      ))
+        measurement = f'test{random_hex(3)}'.lower()
+        df = pd.DataFrame({
+            'time': pd.to_datetime(['2024-01-01', '2024-01-02']),
+            'city': ['London', 'Paris'],
+            'temperature': [15.0, 18.5]
+        })
+        self.client.write_dataframe(
+            df,
+            measurement=measurement,
+            timestamp_column='time',
+            tags=['city']
+        )
+        self.client.flush()
+
+        result = self.client.query(query=f"select * from {measurement}", mode="pandas")
+
+        self.assertIsNotNone(result)
+        self.assertEqual(2, len(result.get('city')))
+        self.assertEqual(2, len(result.get('temperature')))
+
+    def test_write_csv_file_with_batch(self):
+        client = InfluxDBClient3(host=self.host,
+                                 database=self.database,
+                                 token=self.token,
+                                 write_client_options=write_client_options(
+                                     write_options=WriteOptions(batch_size=100)
+                                 ))
+        measurement = f'test{random_hex(3)}'.lower()
+        client.write_file(
+            measurement_name=measurement,
+            file='tests/data/iot.csv',
+            timestamp_column='time', tag_columns=["name"])
+        client.flush()
+
+        result = client.query(query=f"select * from {measurement}", mode="pandas")
+        self.assertIsNotNone(result)
+        self.assertEqual(3, len(result.get('building')))
+        self.assertEqual(3, len(result.get('temperature')))
+
     def test_write_and_query(self):
         test_id = time.time_ns()
         self.client.write(f"integration_test_python,type=used value=123.0,test_id={test_id}i")

tests/test_polars.py

@@ -96,6 +96,4 @@ def test_write_polars_batching(self):
             async_req=ANY,
             content_type=ANY,
             urlopen_kw=ANY,
-            data_frame_measurement_name='measurement',
-            data_frame_timestamp_column='time',
             body=b'measurement temperature=22.4 1722470400000000000\nmeasurement temperature=21.8 1722474000000000000')