fix: issue 1138 windows encoding (#1139)

* fix(windows): use utf-8 for text file operations

* fix(windows): normalize sandbox path masking

* fix(windows): preserve utf-8 handling after backend split

skills/public/image-generation/scripts/generate.py

@@ -33,7 +33,7 @@ def generate_image(
     output_file: str,
     aspect_ratio: str = "16:9",
 ) -> str:
-    with open(prompt_file, "r") as f:
+    with open(prompt_file, "r", encoding="utf-8") as f:
         prompt = f.read()
     parts = []
     i = 0

skills/public/ppt-generation/scripts/generate.py

@@ -24,7 +24,7 @@ def generate_ppt(
         Status message
     """
     # Load presentation plan
-    with open(plan_file, "r") as f:
+    with open(plan_file, "r", encoding="utf-8") as f:
         plan = json.load(f)
 
     # Determine slide dimensions based on aspect ratio

skills/public/skill-creator/scripts/aggregate_benchmark.py

@@ -87,7 +87,7 @@ def load_run_results(benchmark_dir: Path) -> dict:
         metadata_path = eval_dir / "eval_metadata.json"
         if metadata_path.exists():
             try:
-                with open(metadata_path) as mf:
+                with open(metadata_path, encoding="utf-8") as mf:
                     eval_id = json.load(mf).get("eval_id", eval_idx)
             except (json.JSONDecodeError, OSError):
                 eval_id = eval_idx
@@ -117,7 +117,7 @@ def load_run_results(benchmark_dir: Path) -> dict:
                     continue
 
                 try:
-                    with open(grading_file) as f:
+                    with open(grading_file, encoding="utf-8") as f:
                         grading = json.load(f)
                 except json.JSONDecodeError as e:
                     print(f"Warning: Invalid JSON in {grading_file}: {e}")
@@ -139,7 +139,7 @@ def load_run_results(benchmark_dir: Path) -> dict:
                 timing_file = run_dir / "timing.json"
                 if result["time_seconds"] == 0.0 and timing_file.exists():
                     try:
-                        with open(timing_file) as tf:
+                        with open(timing_file, encoding="utf-8") as tf:
                             timing_data = json.load(tf)
                         result["time_seconds"] = timing_data.get("total_duration_seconds", 0.0)
                         result["tokens"] = timing_data.get("total_tokens", 0)
@@ -374,13 +374,13 @@ def main():
     output_md = output_json.with_suffix(".md")
 
     # Write benchmark.json
-    with open(output_json, "w") as f:
+    with open(output_json, "w", encoding="utf-8") as f:
         json.dump(benchmark, f, indent=2)
     print(f"Generated: {output_json}")
 
     # Write benchmark.md
     markdown = generate_markdown(benchmark)
-    with open(output_md, "w") as f:
+    with open(output_md, "w", encoding="utf-8") as f:
         f.write(markdown)
     print(f"Generated: {output_md}")
 

skills/public/video-generation/scripts/generate.py

@@ -11,7 +11,7 @@ def generate_video(
     output_file: str,
     aspect_ratio: str = "16:9",
 ) -> str:
-    with open(prompt_file, "r") as f:
+    with open(prompt_file, "r", encoding="utf-8") as f:
         prompt = f.read()
     referenceImages = []
     i = 0