Add ruff rules for bandit (S)

src/backend/base/langflow/base/astra_assistants/util.py

@@ -24,7 +24,7 @@ def get_patched_openai_client(shared_component_cache):
 
 
 url = "https://raw.githubusercontent.com/BerriAI/litellm/refs/heads/main/model_prices_and_context_window.json"
-response = requests.get(url)
+response = requests.get(url, timeout=10)
 data = json.loads(response.text)
 
 # Extract the model names into a Python list

src/backend/base/langflow/base/curl/parse.py

@@ -54,7 +54,7 @@ def normalize_newlines(multiline_text):
 
 def parse_curl_command(curl_command):
     tokens = shlex.split(normalize_newlines(curl_command))
-    tokens = [token for token in tokens if token and token != " "]
+    tokens = [token for token in tokens if token and token != " "]  # noqa: S105
     if tokens and "curl" not in tokens[0]:
         msg = "Invalid curl command"
         raise ValueError(msg)
@@ -79,7 +79,7 @@ def parse_curl_command(curl_command):
     i = 0
     while i < len(tokens):
         token = tokens[i]
-        if token == "-X":
+        if token == "-X":  # noqa: S105
             i += 1
             args["method"] = tokens[i].lower()
             method_on_curl = tokens[i].lower()
@@ -92,7 +92,7 @@ def parse_curl_command(curl_command):
         elif token in ("-H", "--header"):
             i += 1
             args["headers"].append(tokens[i])
-        elif token == "--compressed":
+        elif token == "--compressed":  # noqa: S105
             args["compressed"] = True
         elif token in ("-k", "--insecure"):
             args["insecure"] = True

src/backend/base/langflow/base/data/utils.py

@@ -143,7 +143,7 @@ def parse_text_file_to_data(file_path: str, silent_errors: bool) -> Data | None:
         elif file_path.endswith((".yaml", ".yml")):
             text = yaml.safe_load(text)
         elif file_path.endswith(".xml"):
-            xml_element = ET.fromstring(text)
+            xml_element = ET.fromstring(text)  # noqa: S314
             text = ET.tostring(xml_element, encoding="unicode")
     except Exception as e:
         if not silent_errors:

src/backend/base/langflow/components/Notion/add_content_to_page.py

@@ -74,7 +74,7 @@ def _add_content_to_page(self, markdown_text: str, block_id: str) -> dict[str, A
                 "children": blocks,
             }
 
-            response = requests.patch(url, headers=headers, json=data)
+            response = requests.patch(url, headers=headers, json=data, timeout=10)
             response.raise_for_status()
 
             return response.json()

src/backend/base/langflow/components/Notion/create_page.py

@@ -81,7 +81,7 @@ def _create_notion_page(self, database_id: str, properties_json: str) -> dict[st
         }
 
         try:
-            response = requests.post("https://api.notion.com/v1/pages", headers=headers, json=data)
+            response = requests.post("https://api.notion.com/v1/pages", headers=headers, json=data, timeout=10)
             response.raise_for_status()
             return response.json()
         except requests.exceptions.RequestException as e:

src/backend/base/langflow/components/Notion/list_database_properties.py

@@ -55,7 +55,7 @@ def _fetch_database_properties(self, database_id: str) -> dict | str:
             "Notion-Version": "2022-06-28",  # Use the latest supported version
         }
         try:
-            response = requests.get(url, headers=headers)
+            response = requests.get(url, headers=headers, timeout=10)
             response.raise_for_status()
             data = response.json()
             return data.get("properties", {})

src/backend/base/langflow/components/Notion/list_pages.py

@@ -109,7 +109,7 @@ def _query_notion_database(self, database_id: str, query_json: str | None = None
                 return f"Invalid JSON format for query: {e}"
 
         try:
-            response = requests.post(url, headers=headers, json=query_payload)
+            response = requests.post(url, headers=headers, json=query_payload, timeout=10)
             response.raise_for_status()
             results = response.json()
             return results["results"]

src/backend/base/langflow/components/Notion/list_users.py

@@ -58,7 +58,7 @@ def _list_users(self) -> list[dict]:
             "Notion-Version": "2022-06-28",
         }
 
-        response = requests.get(url, headers=headers)
+        response = requests.get(url, headers=headers, timeout=10)
         response.raise_for_status()
 
         data = response.json()

src/backend/base/langflow/components/Notion/page_content_viewer.py

@@ -55,7 +55,7 @@ def _retrieve_page_content(self, page_id: str) -> str:
             "Notion-Version": "2022-06-28",
         }
         try:
-            blocks_response = requests.get(blocks_url, headers=headers)
+            blocks_response = requests.get(blocks_url, headers=headers, timeout=10)
             blocks_response.raise_for_status()
             blocks_data = blocks_response.json()
             return self.parse_blocks(blocks_data.get("results", []))

src/backend/base/langflow/components/Notion/search.py

@@ -104,7 +104,7 @@ def _search_notion(
             "sort": {"direction": sort_direction, "timestamp": "last_edited_time"},
         }
 
-        response = requests.post(url, headers=headers, json=data)
+        response = requests.post(url, headers=headers, json=data, timeout=10)
         response.raise_for_status()
 
         results = response.json()

src/backend/base/langflow/components/Notion/update_page_property.py

@@ -87,7 +87,7 @@ def _update_notion_page(self, page_id: str, properties: str | dict[str, Any]) ->
 
         try:
             logger.info(f"Sending request to Notion API: URL: {url}, Data: {json.dumps(data)}")
-            response = requests.patch(url, headers=headers, json=data)
+            response = requests.patch(url, headers=headers, json=data, timeout=10)
             response.raise_for_status()
             updated_page = response.json()
 

src/backend/base/langflow/components/agents/JsonAgent.py

@@ -25,7 +25,7 @@ def build_agent(self) -> AgentExecutor:
         path = Path(self.path)
         if self.path.endswith("yaml") or self.path.endswith("yml"):
             with path.open() as file:
-                yaml_dict = yaml.load(file, Loader=yaml.FullLoader)
+                yaml_dict = yaml.full_load(file)
             spec = JsonSpec(dict_=yaml_dict)
         else:
             spec = JsonSpec.from_file(path)

src/backend/base/langflow/components/agents/OpenAPIAgent.py

@@ -27,7 +27,7 @@ def build_agent(self) -> AgentExecutor:
         path = Path(self.path)
         if self.path.endswith("yaml") or self.path.endswith("yml"):
             with path.open() as file:
-                yaml_dict = yaml.load(file, Loader=yaml.FullLoader)
+                yaml_dict = yaml.full_load(file)
             spec = JsonSpec(dict_=yaml_dict)
         else:
             spec = JsonSpec.from_file(path)

src/backend/base/langflow/components/data/GoogleDrive.py

@@ -81,7 +81,9 @@ class Config:
             msg = f"Error loading documents: {e}"
             raise ValueError(msg) from e
 
-        assert len(docs) == 1, "Expected a single document to be loaded."
+        if len(docs) != 1:
+            msg = "Expected a single document to be loaded."
+            raise ValueError(msg)
 
         data = docs_to_data(docs)
         # Return the loaded documents

src/backend/base/langflow/components/embeddings/EmbeddingSimilarity.py

@@ -34,7 +34,9 @@ def compute_similarity(self) -> Data:
         embedding_vectors: list[Data] = self.embedding_vectors
 
         # Assert that the list contains exactly two Data objects
-        assert len(embedding_vectors) == 2, "Exactly two embedding vectors are required."  # noqa: PLR2004
+        if len(embedding_vectors) != 2:  # noqa: PLR2004
+            msg = "Exactly two embedding vectors are required."
+            raise ValueError(msg)
 
         embedding_1 = np.array(embedding_vectors[0].data["embeddings"])
         embedding_2 = np.array(embedding_vectors[1].data["embeddings"])

src/backend/base/langflow/components/embeddings/util/AIMLEmbeddingsImpl.py

@@ -29,7 +29,9 @@ def embed_documents(self, texts: list[str]) -> list[list[float]]:
             for index, future in futures:
                 try:
                     result_data = future.result()
-                    assert len(result_data["data"]) == 1, "Expected one embedding"
+                    if len(result_data["data"]) != 1:
+                        msg = "Expected one embedding"
+                        raise ValueError(msg)
                     embeddings[index] = result_data["data"][0]["embedding"]
                 except (
                     httpx.HTTPStatusError,

src/backend/base/langflow/components/models/GroqModel.py

@@ -67,7 +67,7 @@ def get_models(self) -> list[str]:
         headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
 
         try:
-            response = requests.get(url, headers=headers)
+            response = requests.get(url, headers=headers, timeout=10)
             response.raise_for_status()
             model_list = response.json()
             return [model["id"] for model in model_list.get("data", [])]

src/backend/base/langflow/components/tools/SearXNGTool.py

@@ -61,7 +61,7 @@ def update_build_config(self, build_config: dotdict, field_value: Any, field_nam
         try:
             url = f"{field_value}/config"
 
-            response = requests.get(url=url, headers=self.search_headers.copy())
+            response = requests.get(url=url, headers=self.search_headers.copy(), timeout=10)
             data = None
             if response.headers.get("Content-Encoding") == "zstd":
                 data = json.loads(response.content)
@@ -105,6 +105,7 @@ def search(query: str, categories: Sequence[str] = ()) -> list:
                             "language": SearxSearch._language,
                             "format": "json",
                         },
+                        timeout=10,
                     ).json()
 
                     num_results = min(SearxSearch._max_results, len(response["results"]))

src/backend/base/langflow/custom/code_parser/code_parser.py

@@ -176,7 +176,7 @@ def parse_callable_details(self, node: ast.FunctionDef) -> dict[str, Any]:
 
             # Handle cases where the type is not found in the constructed environment
             with contextlib.suppress(NameError):
-                return_type = eval(return_type_str, eval_env)
+                return_type = eval(return_type_str, eval_env)  # noqa: S307
 
         func = CallableCodeDetails(
             name=node.name,

src/backend/base/langflow/graph/graph/ascii.py

@@ -19,6 +19,8 @@
 from grandalf.layouts import SugiyamaLayout
 from grandalf.routing import EdgeViewer, route_with_lines
 
+MINIMUM_EDGE_VIEW_POINTS = 2
+
 
 class VertexViewer:
     """Class to define vertex box boundaries that will be accounted for during graph building by grandalf."""
@@ -42,8 +44,12 @@ class AsciiCanvas:
     """Class for drawing in ASCII."""
 
     def __init__(self, cols, lines):
-        assert cols > 1
-        assert lines > 1
+        if cols <= 1:
+            msg = "cols must be greater than 1"
+            raise ValueError(msg)
+        if lines <= 1:
+            msg = "lines must be greater than 1"
+            raise ValueError(msg)
         self.cols = cols
         self.lines = lines
         self.canvas = [[" "] * cols for _ in range(lines)]
@@ -61,9 +67,15 @@ def draw(self):
 
     def point(self, x, y, char):
         """Create a point on ASCII canvas."""
-        assert len(char) == 1
-        assert 0 <= x < self.cols
-        assert 0 <= y < self.lines
+        if len(char) != 1:
+            msg = "char must be a single character"
+            raise ValueError(msg)
+        if x < 0 or x >= self.cols:
+            msg = "x is out of bounds"
+            raise ValueError(msg)
+        if y < 0 or y >= self.lines:
+            msg = "y is out of bounds"
+            raise ValueError(msg)
         self.canvas[y][x] = char
 
     def line(self, x0, y0, x1, y1, char):
@@ -93,8 +105,12 @@ def text(self, x, y, text):
 
     def box(self, x0, y0, width, height):
         """Create a box on ASCII canvas."""
-        assert width > 1
-        assert height > 1
+        if width <= 1:
+            msg = "width must be greater than 1"
+            raise ValueError(msg)
+        if height <= 1:
+            msg = "height must be greater than 1"
+            raise ValueError(msg)
         width -= 1
         height -= 1
 
@@ -162,7 +178,9 @@ def draw_graph(vertexes, edges, return_ascii=True):
     canvas = AsciiCanvas(canvas_cols, canvas_lines)
 
     for edge in sug.g.sE:
-        assert len(edge.view._pts) > 1
+        if len(edge.view._pts) < MINIMUM_EDGE_VIEW_POINTS:
+            msg = "edge.view._pts must have at least 2 points"
+            raise ValueError(msg)
         for index in range(1, len(edge.view._pts)):
             start = edge.view._pts[index - 1]
             end = edge.view._pts[index]

src/backend/base/langflow/helpers/flow.py

@@ -194,7 +194,7 @@ async def flow_function({func_args}):
 
     compiled_func = compile(func_body, "<string>", "exec")
     local_scope: dict = {}
-    exec(compiled_func, globals(), local_scope)
+    exec(compiled_func, globals(), local_scope)  # noqa: S102
     return local_scope["flow_function"]
 
 

src/backend/base/langflow/inputs/input_mixin.py

@@ -18,7 +18,7 @@
 class FieldTypes(str, Enum):
     TEXT = "str"
     INTEGER = "int"
-    PASSWORD = "str"  # noqa: PIE796
+    PASSWORD = "str"  # noqa: PIE796, S105
     FLOAT = "float"
     BOOLEAN = "bool"
     DICT = "dict"

src/backend/base/langflow/io/schema.py

@@ -38,7 +38,7 @@ def create_input_schema(inputs: list["InputTypes"]) -> type[BaseModel]:
             literal_string = f"Literal{input_model.options}"
             # validate that the literal_string is a valid literal
 
-            field_type = eval(literal_string, {"Literal": Literal})
+            field_type = eval(literal_string, {"Literal": Literal})  # noqa: S307
         if hasattr(input_model, "is_list") and input_model.is_list:
             field_type = list[field_type]  # type: ignore[valid-type]
         if input_model.name:

src/backend/base/langflow/services/settings/constants.py

@@ -1,5 +1,5 @@
 DEFAULT_SUPERUSER = "langflow"
-DEFAULT_SUPERUSER_PASSWORD = "langflow"
+DEFAULT_SUPERUSER_PASSWORD = "langflow"  # noqa: S105
 VARIABLES_TO_GET_FROM_ENVIRONMENT = [
     "OPENAI_API_KEY",
     "ANTHROPIC_API_KEY",

src/backend/base/langflow/services/variable/kubernetes_secrets.py

@@ -25,7 +25,12 @@ def __init__(self, namespace: str = "langflow"):
         # initialize the Kubernetes API client
         self.core_api = client.CoreV1Api()
 
-    def create_secret(self, name: str, data: dict, secret_type: str = "Opaque"):
+    def create_secret(
+        self,
+        name: str,
+        data: dict,
+        secret_type: str = "Opaque",  # noqa: S107
+    ):
         """
         Create a new secret in the specified namespace.
 
@@ -46,7 +51,7 @@ def create_secret(self, name: str, data: dict, secret_type: str = "Opaque"):
 
         return self.core_api.create_namespaced_secret(self.namespace, secret)
 
-    def upsert_secret(self, secret_name: str, data: dict, secret_type: str = "Opaque"):
+    def upsert_secret(self, secret_name: str, data: dict):
         """
         Upsert a secret in the specified namespace.
         If the secret doesn't exist, it will be created.

src/backend/base/pyproject.toml

@@ -60,7 +60,6 @@ ignore = [
     "DOC",
     "FBT",
     "N",
-    "S",
     "SLF",
     "TRY3",
 ]
@@ -69,6 +68,12 @@ ignore = [
 "langflow/api/v1/*" = [
     "TCH", # FastAPI needs to evaluate types at runtime
 ]
+"langflow/{components/tools/PythonCodeStructuredTool.py,custom/code_parser/code_parser.py,utils/validate.py}" = [
+    "S102", # Use of exec
+]
+"langflow/services/cache/*" = [
+    "S301", # Use of pickle
+]
 
 [tool.uv]
 dev-dependencies = [