Merge pull request #35 from InfluxCommunity/windows

Windows

Examples/file-import/orc_write.py

@@ -1,7 +1,7 @@
 import influxdb_client_3 as InfluxDBClient3
 import pandas as pd
 import numpy as np
-from influxdb_client_3 import write_client_options, WritePrecision, WriteOptions, InfluxDBError
+from influxdb_client_3 import write_client_options, WriteOptions, InfluxDBError
 
 
 class BatchingCallback(object):
@@ -35,7 +35,7 @@ def retry(self, conf, data: str, exception: InfluxDBError):
     token="INSERT_TOKEN",
     host="eu-central-1-1.aws.cloud2.influxdata.com",
     org="6a841c0c08328fb1",
-    database="python", _write_client_options=wco) as client:
+    database="python") as client:
 
 
 

influxdb_client_3/__init__.py

@@ -12,6 +12,8 @@
 def write_client_options(**kwargs):
     return kwargs
 
+def default_client_options(**kwargs):
+    return kwargs
 
 def flight_client_options(**kwargs):
     return kwargs  # You can replace this with a specific data structure if needed
@@ -45,7 +47,7 @@ def __init__(
         """
         self._org = org
         self._database = database
-        self._write_client_options = write_client_options or write_client_options(write_options=SYNCHRONOUS)
+        self._write_client_options = write_client_options if write_client_options is not None else default_client_options(write_options=SYNCHRONOUS)
 
         # Extracting the hostname from URL if provided
         parsed_url = urllib.parse.urlparse(host)

influxdb_client_3/read_file.py

@@ -2,7 +2,12 @@
 import pyarrow.csv as csv
 import pyarrow.feather as feather
 import pyarrow.parquet as parquet
-import pyarrow.orc as orc
+import os
+
+# Check if the OS is not Windows
+if os.name != 'nt':
+    import pyarrow.orc as orc
+
 import pandas as pd
 
 class upload_file:
@@ -20,6 +25,7 @@ def load_file(self):
             elif self._file.endswith(".json"):
                 return self.load_json(self._file)
             elif self._file.endswith(".orc"):
+
                 return self.load_orc(self._file)
             else:
                 raise ValueError("Unsupported file type")
@@ -34,7 +40,10 @@ def load_csv(self, file):
         return csv.read_csv(file, **self._kwargs)
 
     def load_orc(self, file):
-        return orc.read_table(file, **self._kwargs)
+        if os.name == 'nt':
+            raise ValueError("Unsupported file type for this OS")
+        else:
+            return orc.read_table(file, **self._kwargs)
 
     #TODO: Use pyarrow.json.read_json() instead of pandas.read_json()
     def load_json(self, file):