Fix pylint warning unspecified-encoding

autogpt/agbenchmark_config/analyze_reports.py

@@ -36,7 +36,7 @@
 
 # Loop through each JSON file to collect suffixes and success values
 for report_file in sorted(report_files):
-    with open(report_file) as f:
+    with open(report_file, encoding='utf-8') as f:
         logger.info(f"Loading {report_file}...")
 
         data = json.load(f)

benchmark/agbenchmark/__main__.py

@@ -143,7 +143,7 @@ def run(
     exit_code = None
 
     if backend:
-        with open("backend/backend_stdout.txt", "w") as f:
+        with open("backend/backend_stdout.txt", "w", encoding="utf-8") as f:
             sys.stdout = f
             exit_code = run_benchmark(
                 config=agbenchmark_config,

benchmark/agbenchmark/app.py

@@ -56,7 +56,8 @@
     except ValidationError as e:
         if logging.getLogger().level == logging.DEBUG:
             logger.warning(f"Spec file {challenge_relpath} failed to load:\n{e}")
-        logger.debug(f"Invalid challenge spec: {challenge_spec_file.read_text()}")
+        with open(challenge_spec_file, 'r', encoding='utf-8') as f:
+            logger.debug(f"Invalid challenge spec: {f.read_text()}")
         continue
     challenge_info.spec_file = challenge_spec_file
 

benchmark/agbenchmark/challenges/__init__.py

@@ -34,7 +34,7 @@ def get_unique_categories() -> set[str]:
     glob_path = f"{challenges_dir}/**/data.json"
 
     for data_file in glob.glob(glob_path, recursive=True):
-        with open(data_file, "r") as f:
+        with open(data_file, "r", encoding="utf-8") as f:
             try:
                 challenge_data = json.load(f)
                 categories.update(challenge_data.get("category", []))

benchmark/agbenchmark/challenges/builtin.py

@@ -32,7 +32,7 @@
 
 logger = logging.getLogger(__name__)
 
-with open(Path(__file__).parent / "optional_categories.json") as f:
+with open(Path(__file__).parent / "optional_categories.json", encoding="utf-8") as f:
     OPTIONAL_CATEGORIES: list[str] = json.load(f)["optional_categories"]
 
 
@@ -307,30 +307,30 @@ def get_outputs_for_eval(
                 # Otherwise, it is a specific file
                 matching_files = [os.path.join(script_dir, file_pattern)]
 
+        logger.debug(
+            f"Files to evaluate for pattern `{file_pattern}`: {matching_files}"
+        )
+
+        for file_path in matching_files:
+            relative_file_path = Path(file_path).relative_to(workspace)
             logger.debug(
-                f"Files to evaluate for pattern `{file_pattern}`: {matching_files}"
+                f"Evaluating {relative_file_path} "
+                f"(eval type: {ground.eval.type})..."
             )
-
-            for file_path in matching_files:
-                relative_file_path = Path(file_path).relative_to(workspace)
-                logger.debug(
-                    f"Evaluating {relative_file_path} "
-                    f"(eval type: {ground.eval.type})..."
+            if ground.eval.type == "python":
+                result = subprocess.run(
+                    [sys.executable, file_path],
+                    cwd=os.path.abspath(workspace),
+                    capture_output=True,
+                    text=True,
                 )
-                if ground.eval.type == "python":
-                    result = subprocess.run(
-                        [sys.executable, file_path],
-                        cwd=os.path.abspath(workspace),
-                        capture_output=True,
-                        text=True,
-                    )
-                    if "error" in result.stderr or result.returncode != 0:
-                        yield relative_file_path, f"Error: {result.stderr}\n"
-                    else:
-                        yield relative_file_path, f"Output: {result.stdout}\n"
+                if "error" in result.stderr or result.returncode != 0:
+                    yield relative_file_path, f"Error: {result.stderr}\n"
                 else:
-                    with open(file_path, "r") as f:
-                        yield relative_file_path, f.read()
+                    yield relative_file_path, f"Output: {result.stdout}\n"
+            else:
+                with open(file_path, "r", encoding="utf-8") as f:
+                    yield relative_file_path, f.read()
         else:
             if ground.eval.type == "pytest":
                 result = subprocess.run(

benchmark/reports/json_to_base_64.py

@@ -2,7 +2,7 @@
 import json
 
 # Load JSON data from a file
-with open("secrets.json", "r") as f:
+with open("secrets.json", "r", encoding="utf-8") as f:
     data = json.load(f)
 
 # Convert the JSON object into a string

benchmark/reports/match_records.py

@@ -95,8 +95,8 @@ def get_reports():
             for report_file in report_files:
                 # Check if the report.json file exists
                 if os.path.isfile(report_file):
-                    # Open the report.json file
-                    with open(report_file, "r") as f:
+                    # Open the report.json file with UTF-8 encoding
+                    with open(report_file, "r", encoding="utf-8") as f:
                         # Load the JSON data from the file
                         json_data = json.load(f)
                         print(f"Processing {report_file}")

benchmark/reports/send_to_googledrive.py

@@ -118,7 +118,7 @@ def process_test(
 
                 if os.path.exists(report_path):
                     # Load the JSON data from the file
-                    with open(report_path, "r") as f:
+                    with open(report_path, "r", encoding="utf-8") as f:
                         data = json.load(f)
                     benchmark_start_time = data.get("benchmark_start_time", "")
 

cli.py

@@ -296,7 +296,7 @@ def benchmark_categories_list():
     # Use it as the base for the glob pattern, excluding 'deprecated' directory
     for data_file in glob.glob(glob_path, recursive=True):
         if "deprecated" not in data_file:
-            with open(data_file, "r") as f:
+            with open(data_file, "r", encoding="utf-8") as f:
                 try:
                     data = json.load(f)
                     categories.update(data.get("category", []))
@@ -340,7 +340,7 @@ def benchmark_tests_list():
     # Use it as the base for the glob pattern, excluding 'deprecated' directory
     for data_file in glob.glob(glob_path, recursive=True):
         if "deprecated" not in data_file:
-            with open(data_file, "r") as f:
+            with open(data_file, "r", encoding="utf-8") as f:
                 try:
                     data = json.load(f)
                     category = data.get("category", [])
@@ -389,7 +389,7 @@ def benchmark_tests_details(test_name):
     )
     # Use it as the base for the glob pattern, excluding 'deprecated' directory
     for data_file in glob.glob(glob_path, recursive=True):
-        with open(data_file, "r") as f:
+        with open(data_file, "r", encoding="utf-8") as f:
             try:
                 data = json.load(f)
                 if data.get("name") == test_name:

forge/forge/file_storage/local.py

@@ -77,7 +77,7 @@ def _open_file(self, path: str | Path, mode: str) -> TextIO | BinaryIO:
         full_path = self.get_path(path)
         if any(m in mode for m in ("w", "a", "x")):
             full_path.parent.mkdir(parents=True, exist_ok=True)
-        return open(full_path, mode)  # type: ignore
+        return open(full_path, mode, encoding='utf-8')
 
     @overload
     def read_file(self, path: str | Path, binary: Literal[False] = False) -> str:

forge/forge/llm/providers/openai.py

@@ -260,7 +260,7 @@ def get_model_access_kwargs(self, model: str) -> dict[str, str]:
         return kwargs
 
     def load_azure_config(self, config_file: Path) -> None:
-        with open(config_file) as file:
+        with open(config_file, 'r', encoding='utf-8') as file:
             config_params = yaml.load(file, Loader=yaml.SafeLoader) or {}
 
         try: