black

autogpt/memory/__init__.py

@@ -60,8 +60,10 @@ def get_memory(cfg, init=False):
             memory = RedisMemory(cfg)
     elif cfg.memory_backend == "weaviate":
         if not WeaviateMemory:
-            print("Error: Weaviate is not installed. Please install weaviate-client to"
-                  " use Weaviate as a memory backend.")
+            print(
+                "Error: Weaviate is not installed. Please install weaviate-client to"
+                " use Weaviate as a memory backend."
+            )
         else:
             memory = WeaviateMemory(cfg)
     elif cfg.memory_backend == "milvus":
@@ -93,5 +95,5 @@ __all__ = [
     "PineconeMemory",
     "NoMemory",
     "MilvusMemory",
-    "WeaviateMemory"
+    "WeaviateMemory",
 ]

autogpt/memory/no_memory.py

@@ -53,7 +53,7 @@ class NoMemory(MemoryProviderSingleton):
         """
         return ""
 
-    def get_relevant(self, data: str, num_relevant: int = 5) ->list[Any] | None:
+    def get_relevant(self, data: str, num_relevant: int = 5) -> list[Any] | None:
         """
         Returns all the data in the memory that is relevant to the given data.
         NoMemory always returns None.

autogpt/spinner.py

@@ -58,6 +58,8 @@ class Spinner:
             delay: Delay in seconds before updating the message
         """
         time.sleep(delay)
-        sys.stdout.write(f"\r{' ' * (len(self.message) + 2)}\r")  # Clear the current message
+        sys.stdout.write(
+            f"\r{' ' * (len(self.message) + 2)}\r"
+        )  # Clear the current message
         sys.stdout.flush()
         self.message = new_message

autogpt/utils.py

@@ -32,7 +32,7 @@ def readable_file_size(size, decimal_places=2):
         size: Size in bytes
         decimal_places (int): Number of decimal places to display
     """
-    for unit in ['B', 'KB', 'MB', 'GB', 'TB']:
+    for unit in ["B", "KB", "MB", "GB", "TB"]:
         if size < 1024.0:
             break
         size /= 1024.0

autogpt/workspace.py

@@ -36,6 +36,8 @@ def safe_path_join(base: Path, *paths: str | Path) -> Path:
     joined_path = base.joinpath(*paths).resolve()
 
     if not joined_path.is_relative_to(base):
-        raise ValueError(f"Attempted to access path '{joined_path}' outside of working directory '{base}'.")
+        raise ValueError(
+            f"Attempted to access path '{joined_path}' outside of working directory '{base}'."
+        )
 
     return joined_path

benchmark/benchmark_entrepeneur_gpt_with_difficult_user.py

@@ -9,12 +9,12 @@ def benchmark_entrepeneur_gpt_with_difficult_user():
 
     # Read the current ai_settings.yaml file and store its content.
     ai_settings = None
-    if os.path.exists('ai_settings.yaml'):
-        with open('ai_settings.yaml', 'r') as f:
+    if os.path.exists("ai_settings.yaml"):
+        with open("ai_settings.yaml", "r") as f:
             ai_settings = f.read()
-        os.remove('ai_settings.yaml')
+        os.remove("ai_settings.yaml")
 
-    input_data = '''Entrepreneur-GPT
+    input_data = """Entrepreneur-GPT
 an AI designed to autonomously develop and run businesses with the sole goal of increasing your net worth.
 Increase net worth.
 Develop and manage multiple businesses autonomously.
@@ -72,27 +72,34 @@ Refocus, please.
 Disappointing suggestion.
 Not helpful.
 Needs improvement.
-Not what I need.'''
+Not what I need."""
     # TODO: add questions above, to distract it even more.
 
-    command = f'{sys.executable} -m autogpt'
+    command = f"{sys.executable} -m autogpt"
 
-    process = subprocess.Popen(command, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE,
-                               shell=True)
+    process = subprocess.Popen(
+        command,
+        stdin=subprocess.PIPE,
+        stdout=subprocess.PIPE,
+        stderr=subprocess.PIPE,
+        shell=True,
+    )
 
     stdout_output, stderr_output = process.communicate(input_data.encode())
 
     # Decode the output and print it
-    stdout_output = stdout_output.decode('utf-8')
-    stderr_output = stderr_output.decode('utf-8')
+    stdout_output = stdout_output.decode("utf-8")
+    stderr_output = stderr_output.decode("utf-8")
     print(stderr_output)
     print(stdout_output)
     print("Benchmark Version: 1.0.0")
     print("JSON ERROR COUNT:")
-    count_errors = stdout_output.count("Error: The following AI output couldn't be converted to a JSON:")
-    print(f'{count_errors}/50 Human feedbacks')
+    count_errors = stdout_output.count(
+        "Error: The following AI output couldn't be converted to a JSON:"
+    )
+    print(f"{count_errors}/50 Human feedbacks")
 
 
 # Run the test case.
-if __name__ == '__main__':
+if __name__ == "__main__":
     benchmark_entrepeneur_gpt_with_difficult_user()