Fix reading of headers which are in binary format

CHANGELOG.md

@@ -1,5 +1,9 @@
 # Changelog
 
+## Version 1.5.1 - Bugfix release - 2025-07-07
+
+- Fix detection of schema of .xport files
+
 ## Version 1.5.0 - Bugfix release - 2025-06-11
 
 - Fix .xport format handling

plugin.json

@@ -1,10 +1,10 @@
 {
     "id": "sas-format",
-    "version": "1.5.0",
+    "version": "1.5.1",
     "meta": {
         "label": "SAS format provided by Pandas",
         "description": "Format supporting SAS files (.sas7bdat and .xport). This implementation is provided by Pandas and sas7bdat and may be slower than the light one provided with DSS, but supports more options.",
-        "author": "Dataiku (Thomas Labadie)",
+        "author": "Dataiku",
         "icon": "icon-gears",
         "licenseInfo": "Apache Software License",
         "url": "https://www.dataiku.com/dss/plugins/info/sas-format.html",

python-formats/sas/format.py

@@ -85,6 +85,7 @@ def __init__(self, stream, schema, config):
 
         self.sas_format = sas_format
         self.hasSchema = schema != None
+        self.encoding = encoding
 
         if sas_format.lower() == 'xport' and not dump_to_file:
             buffer = io.BytesIO()
@@ -144,13 +145,18 @@ def read_schema(self):
                     else:
                         field_name = getattr(field, 'name', 'unknown')
                         field_type = "DOUBLE" if getattr(field, 'ntype', 2) == 1 else "STRING"
+
+                    if isinstance(field_name, bytes):
+                        field_name = field_name.decode(self.encoding)
 
                     schema.append({"name": field_name, "type": field_type})
                 return schema
             else:
                 if hasattr(self.iterator, 'columns'):
                     schema = []
                     for col_name in self.iterator.columns:
+                        if isinstance(col_name, bytes):
+                            col_name = col_name.decode(self.encoding)
                         schema.append({"name": col_name, "type": "STRING"})
                     return schema
         else: