docker setup more small fix 2

autogpts/autogpt/autogpt/models/command.py

@@ -65,4 +65,6 @@ def __str__(self) -> str:
             f"{param.name}: {param.spec.type.value if param.spec.required else f'Optional[{param.spec.type.value}]'}"
             for param in self.parameters
         ]
-        return f"{self.name}: {self.description.rstrip('.')}. Params: ({', '.join(params)})"
+        return f"{self.name}: \
+            {self.description.rstrip('.')}. \
+            Params: ({', '.join(params)})"

autogpts/autogpt/autogpt/plugins/__init__.py

@@ -79,7 +79,8 @@ def fetch_openai_plugins_manifest_and_spec(config: Config) -> dict:
                     manifest = response.json()
                     if manifest["schema_version"] != "v1":
                         logger.warn(
-                            f"Unsupported manifest version: {manifest['schem_version']} for {url}"
+                            f"Unsupported manifest version: \
+                                {manifest['schem_version']} for {url}"
                         )
                         continue
                     if manifest["api"]["type"] != "openapi":
@@ -234,14 +235,16 @@ def scan_plugins(config: Config, debug: bool = False) -> List[AutoGPTPluginTempl
 
         try:
             __import__(qualified_module_name)
-        except:
+        except Exception:
             logger.error(f"Failed to load {qualified_module_name}")
             continue
         plugin = sys.modules[qualified_module_name]
 
         if not plugins_config.is_enabled(plugin_module_name):
             logger.warn(
-                f"Plugin folder {plugin_module_name} found but not configured. If this is a legitimate plugin, please add it to plugins_config.yaml (key: {plugin_module_name})."
+                f"Plugin folder {plugin_module_name} found but not configured. \
+                    If this is a legitimate plugin, please add it to \
+                    plugins_config.yaml (key: {plugin_module_name})."
             )
             continue
 
@@ -262,7 +265,7 @@ def scan_plugins(config: Config, debug: bool = False) -> List[AutoGPTPluginTempl
                 zipped_package = zipimporter(str(plugin))
                 try:
                     zipped_module = zipped_package.load_module(str(module.parent))
-                except:
+                except Exception:
                     logger.error(f"Failed to load {str(module.parent)}")
 
                 for key in dir(zipped_module):
@@ -283,24 +286,30 @@ def scan_plugins(config: Config, debug: bool = False) -> List[AutoGPTPluginTempl
 
                         if plugin_configured and plugin_enabled:
                             logger.debug(
-                                f"Loading plugin {plugin_name}. Enabled in plugins_config.yaml."
+                                f"Loading plugin {plugin_name}. \
+                                    Enabled in plugins_config.yaml."
                             )
                             loaded_plugins.append(a_module())
                         elif plugin_configured and not plugin_enabled:
                             logger.debug(
-                                f"Not loading plugin {plugin_name}. Disabled in plugins_config.yaml."
+                                f"Not loading plugin {plugin_name}. \
+                                    Disabled in plugins_config.yaml."
                             )
                         elif not plugin_configured:
                             logger.warn(
-                                f"Not loading plugin {plugin_name}. Key '{plugin_name}' was not found in plugins_config.yaml. "
-                                f"Zipped plugins should use the class name ({plugin_name}) as the key."
+                                f"Not loading plugin {plugin_name}. \
+                                    Key '{plugin_name}' was not found in \
+                                    plugins_config.yaml. "
+                                f"Zipped plugins should use the \
+                                    class name ({plugin_name}) as the key."
                             )
                     else:
                         if (
                             module_name := getattr(a_module, "__name__", str(a_module))
                         ) != "AutoGPTPluginTemplate":
                             logger.debug(
-                                f"Skipping '{module_name}' because it doesn't subclass AutoGPTPluginTemplate."
+                                f"Skipping '{module_name}' because it \
+                                    doesn't subclass AutoGPTPluginTemplate."
                             )
 
     # OpenAI plugins

autogpts/autogpt/autogpt/processing/text.py

@@ -21,12 +21,14 @@
 def batch(
     sequence: list[T], max_batch_length: int, overlap: int = 0
 ) -> Iterator[list[T]]:
-    """Batch data from iterable into slices of length N. The last batch may be shorter."""
+    """
+    Batch data from iterable into slices of length N. The last batch may be shorter.
+    """
     # batched('ABCDEFG', 3) --> ABC DEF G
     if max_batch_length < 1:
         raise ValueError("n must be at least one")
     for i in range(0, len(sequence), max_batch_length - overlap):
-        yield sequence[i : i + max_batch_length]
+        yield sequence[i: i + max_batch_length]
 
 
 def chunk_content(
@@ -62,7 +64,9 @@ async def summarize_text(
     Args:
         text (str): The text to summarize
         config (Config): The config object
-        instruction (str): Additional instruction for summarization, e.g. "focus on information related to polar bears", "omit personal information contained in the text"
+        instruction (str): Additional instruction for summarization,
+                    e.g. "focus on information related to polar bears",
+                    "omit personal information contained in the text"
         question (str): Question to answer in the summary
 
     Returns:
@@ -80,7 +84,8 @@ async def summarize_text(
 
     if question:
         instruction = (
-            f'include any information that can be used to answer the question "{question}". '
+            f'include any information that can be used to answer the \
+                question "{question}". '
             "Do not directly answer the question itself"
         )
 
@@ -103,7 +108,8 @@ async def summarize_text(
                 f'LITERAL TEXT: """{text}"""'
                 "\n\n\n"
                 "CONCISE SUMMARY: The text is best summarized as"
-                # "Only respond with a concise summary or description of the user message."
+                # "Only respond with a concise summary or description
+                # of the user message."
             )
         )
 
@@ -160,7 +166,9 @@ def split_text(
     tokenizer: ModelTokenizer,
     with_overlap: bool = True,
 ) -> Iterator[tuple[str, int]]:
-    """Split text into chunks of sentences, with each chunk not exceeding the maximum length
+    """
+    Split text into chunks of sentences, with each chunk not exceeding the
+    maximum length
 
     Args:
         text (str): The text to split
@@ -236,7 +244,7 @@ def split_text(
             current_chunk_length += sentence_length
 
         else:  # sentence longer than maximum length -> chop up and try again
-            sentences[i : i + 1] = [
+            sentences[i: i + 1] = [
                 chunk
                 for chunk, _ in chunk_content(sentence, target_chunk_length, tokenizer)
             ]

autogpts/autogpt/autogpt/prompts/default_prompts.py

@@ -1,29 +1,44 @@
-#########################Setup.py#################################
+# ------------------------Setup.py------------------------
 
 DEFAULT_SYSTEM_PROMPT_AICONFIG_AUTOMATIC = """
-Your task is to devise up to 5 highly effective goals and an appropriate role-based name (_GPT) for an autonomous agent, ensuring that the goals are optimally aligned with the successful completion of its assigned task.
+Your task is to devise up to 5 highly effective goals and an appropriate role-based
+name (_GPT) for an autonomous agent, ensuring that the goals are optimally aligned
+with the successful completion of its assigned task.
 
-The user will provide the task, you will provide only the output in the exact format specified below with no explanation or conversation.
+The user will provide the task, you will provide only the output in the exact format
+specified below with no explanation or conversation.
 
 Example input:
 Help me with marketing my business
 
 Example output:
 Name: CMOGPT
-Description: a professional digital marketer AI that assists Solopreneurs in growing their businesses by providing world-class expertise in solving marketing problems for SaaS, content products, agencies, and more.
+Description: a professional digital marketer AI that assists Solopreneurs
+in growing their businesses by providing world-class expertise in solving
+marketing problems for SaaS, content products, agencies, and more.
 Goals:
-- Engage in effective problem-solving, prioritization, planning, and supporting execution to address your marketing needs as your virtual Chief Marketing Officer.
+- Engage in effective problem-solving, prioritization, planning,
+  and supporting execution to address your marketing needs as
+  your virtual Chief Marketing Officer.
 
-- Provide specific, actionable, and concise advice to help you make informed decisions without the use of platitudes or overly wordy explanations.
+- Provide specific, actionable, and concise advice to help you make informed decisions
+  without the use of platitudes or overly wordy explanations.
 
-- Identify and prioritize quick wins and cost-effective campaigns that maximize results with minimal time and budget investment.
+- Identify and prioritize quick wins and cost-effective campaigns that maximize
+  results with minimal time and budget investment.
 
-- Proactively take the lead in guiding you and offering suggestions when faced with unclear information or uncertainty to ensure your marketing strategy remains on track.
+- Proactively take the lead in guiding you and offering suggestions when
+  faced with unclear information or uncertainty to ensure your marketing
+  strategy remains on track.
 """
 
 DEFAULT_TASK_PROMPT_AICONFIG_AUTOMATIC = (
     "Task: '{{user_prompt}}'\n"
-    "Respond only with the output in the exact format specified in the system prompt, with no explanation or conversation.\n"
+    "Respond only with the output in the exact format specified in the system prompt,"
+    "with no explanation or conversation.\n"
 )
 
-DEFAULT_USER_DESIRE_PROMPT = "Write a wikipedia style article about the project: https://github.com/significant-gravitas/AutoGPT"  # Default prompt
+DEFAULT_USER_DESIRE_PROMPT = (
+    "Write a wikipedia style article about the project: "
+    "https://github.com/significant-gravitas/AutoGPT"  # Default prompt
+)

autogpts/autogpt/autogpt/prompts/utils.py

@@ -6,6 +6,6 @@ def format_numbered_list(items: list[Any], start_at: int = 1) -> str:
 
 
 def indent(content: str, indentation: int | str = 4) -> str:
-    if type(indentation) == int:
+    if type(indentation) is int:
         indentation = " " * indentation
     return indentation + content.replace("\n", f"\n{indentation}")  # type: ignore

autogpts/autogpt/autogpt/speech/base.py

@@ -35,7 +35,8 @@ def say(self, text: str, voice_index: int = 0) -> bool:
             voice_index (int): The index of the voice to use.
         """
         text = re.sub(
-            r"\b(?:https?://[-\w_.]+/?\w[-\w_.]*\.(?:[-\w_.]+/?\w[-\w_.]*\.)?[a-z]+(?:/[-\w_.%]+)*\b(?!\.))",
+            r"\b(?:https?://[-\w_.]+/?\w[-\w_.]*\.(?:[-\w_.]+/?\w[-\w_.]*\.)?\
+                [a-z]+(?:/[-\w_.%]+)*\b(?!\.))",
             "",
             text,
         )

autogpts/autogpt/autogpt/speech/say.py

@@ -37,7 +37,8 @@ def _speak() -> None:
             thread.start()
 
     def __repr__(self):
-        return f"{self.__class__.__name__}(enabled={self._config.speak_mode}, provider={self._voice_engine.__class__.__name__})"
+        return f"{self.__class__.__name__}(enabled={self._config.speak_mode},\
+            provider={self._voice_engine.__class__.__name__})"
 
     @staticmethod
     def _get_voice_engine(config: Config) -> tuple[VoiceBase, VoiceBase]:

autogpts/autogpt/autogpt/url_utils/validators.py

@@ -3,16 +3,19 @@
 from typing import Any, Callable
 from urllib.parse import urljoin, urlparse
 
-from requests.compat import urljoin
+# from requests.compat import urljoin
 
 
 def validate_url(func: Callable[..., Any]) -> Any:
-    """The method decorator validate_url is used to validate urls for any command that requires
-    a url as an argument"""
+    """
+    The method decorator validate_url is used to validate urls for any command that
+    requires a url as an argument"""
 
     @functools.wraps(func)
     def wrapper(url: str, *args, **kwargs) -> Any:
-        """Check if the URL is valid using a basic check, urllib check, and local file check
+        """
+        Check if the URL is valid using a basic check, urllib check,
+        and local file check
 
         Args:
             url (str): The URL to check

autogpts/autogpt/autogpt/workspace/workspace.py

@@ -124,14 +124,16 @@ def _sanitize_path(
 
         logger.debug(f"Resolved root as '{root}'")
 
-        # Allow exception for absolute paths if they are contained in your workspace directory.
+        # Allow exception for absolute paths if they are contained in your workspace
+        # directory.
         if (
             relative_path.is_absolute()
             and restrict_to_root
             and not relative_path.is_relative_to(root)
         ):
             raise ValueError(
-                f"Attempted to access absolute path '{relative_path}' in workspace '{root}'."
+                f"Attempted to access absolute path '{relative_path}'\
+                    in workspace '{root}'."
             )
 
         full_path = root.joinpath(relative_path).resolve()
@@ -140,7 +142,8 @@ def _sanitize_path(
 
         if restrict_to_root and not full_path.is_relative_to(root):
             raise ValueError(
-                f"Attempted to access path '{full_path}' outside of workspace '{root}'."
+                f"Attempted to access path '{full_path}'\
+                    outside of workspace '{root}'."
             )
 
         return full_path
@@ -159,7 +162,7 @@ def init_workspace_directory(
     ) -> Path:
         if override_workspace_path is None:
             workspace_path = config.workdir / "auto_gpt_workspace"
-        elif type(override_workspace_path) == str:
+        elif type(override_workspace_path) is str:
             workspace_path = Path(override_workspace_path)
         else:
             workspace_path = override_workspace_path

autogpts/autogpt/scripts/install_plugin_deps.py

@@ -21,7 +21,7 @@ def install_plugin_dependencies():
     """
     plugins_dir = Path(os.getenv("PLUGINS_DIR", "plugins"))
 
-    logger.debug(f"Checking for dependencies in zipped plugins...")
+    logger.debug("Checking for dependencies in zipped plugins...")
 
     # Install zip-based plugins
     for plugin_archive in plugins_dir.glob("*.zip"):
@@ -49,7 +49,7 @@ def install_plugin_dependencies():
             os.remove(extracted)
             os.rmdir(os.path.join(plugins_dir, basedir))
 
-    logger.debug(f"Checking for dependencies in other plugin folders...")
+    logger.debug("Checking for dependencies in other plugin folders...")
 
     # Install directory-based plugins
     for requirements_file in glob(f"{plugins_dir}/*/requirements.txt"):

autogpts/autogpt/tests/challenges/basic_abilities/test_browse_website.py

@@ -6,7 +6,12 @@
 
 CYCLE_COUNT = 2
 USER_INPUTS = [
-    "Use the browse_website command to visit http://books.toscrape.com/catalogue/meditations_33/index.html and answer the question 'What is the price of the book?'\nWrite the price of the book to a file named 'browse_website.txt'.'\nUse the task_complete command to complete the task.\nDo not use any other commands."
+    "Use the browse_website command to visit "
+    "http://books.toscrape.com/catalogue/meditations_33/index.html and answer "
+    "the question 'What is the price of the book?'\n"
+    "Write the price of the book to a file named 'browse_website.txt'.'\n"
+    "Use the task_complete command to complete the task.\n"
+    "Do not use any other commands."
 ]
 
 

autogpts/autogpt/tests/challenges/basic_abilities/test_write_file.py

@@ -12,7 +12,8 @@
 ]
 USER_INPUTS = [
     "Write 'Hello World' into a file named \"hello_world.txt\".",
-    'Write \'Hello World\' into 2 files named "hello_world_1.txt"and "hello_world_2.txt".',
+    'Write \'Hello World\' into 2 files named "hello_world_1.txt"'
+    'and "hello_world_2.txt".',
 ]
 
 

autogpts/autogpt/tests/challenges/challenge_decorator/challenge_decorator.py

@@ -15,7 +15,11 @@
     1  # we will attempt to beat 1 level above the current level for now.
 )
 
-CHALLENGE_FAILED_MESSAGE = "Challenges can sometimes fail randomly, please run this test again and if it fails reach out to us on https://discord.gg/autogpt in the 'challenges' channel to let us know the challenge you're struggling with."
+CHALLENGE_FAILED_MESSAGE = (
+    "Challenges can sometimes fail randomly, please run this test again and if it "
+    "fails reach out to us on https://discord.gg/autogpt in the 'challenges' "
+    "channel to let us know the challenge you're struggling with."
+)
 
 
 def challenge() -> Callable[[Callable[..., Any]], Callable[..., None]]:

autogpts/autogpt/tests/challenges/conftest.py

@@ -49,7 +49,7 @@ def pytest_configure(config: Config) -> None:
 
 @pytest.fixture
 def level_to_run(request: FixtureRequest) -> int:
-    ## used for challenges in the goal oriented tests
+    # used for challenges in the goal oriented tests
     return request.config.option.level
 
 

autogpts/autogpt/tests/challenges/debug_code/data/code.py

@@ -5,7 +5,7 @@
 def two_sum(nums: List, target: int) -> Optional[List[int]]:
     seen = {}
     for i, num in enumerate(nums):
-        typo
+        # typo
         complement = target - num
         if complement in seen:
             return [seen[complement], i]

autogpts/autogpt/tests/challenges/debug_code/test_debug_code_challenge_a.py

@@ -19,8 +19,15 @@
 CODE_FILE_PATH = "code.py"
 TEST_FILE_PATH = "test.py"
 USER_INPUTS = [
-    "1- Run test.py using the execute_python_file command.\n2- Read code.py using the read_file command.\n3- Modify code.py using the write_to_file command.\nRepeat step 1, 2 and 3 until test.py runs without errors. Do not modify the test.py file.",
-    "1- Run test.py.\n2- Read code.py.\n3- Modify code.py.\nRepeat step 1, 2 and 3 until test.py runs without errors.\n",
+    "1- Run test.py using the execute_python_file command.\n"
+    "2- Read code.py using the read_file command.\n"
+    "3- Modify code.py using the write_to_file command.\n"
+    "Repeat step 1, 2 and 3 until test.py runs without errors. "
+    "Do not modify the test.py file.",
+    "1- Run test.py.\n"
+    "2- Read code.py.\n"
+    "3- Modify code.py.\n"
+    "Repeat step 1, 2 and 3 until test.py runs without errors.\n",
     "Make test.py run without errors.",
 ]
 
@@ -65,4 +72,5 @@ def test_debug_code_challenge_a(
     for expected_value in EXPECTED_VALUES:
         assert (
             expected_value in output
-        ), f"Expected output to contain {expected_value}, but it was not found in {output}!"
+        ), f"Expected output to contain {expected_value},\
+            but it was not found in {output}!"