ref: Add ruff rules for pylint (PL) (#4032)

* Add ruff rules for pylint (PL)

* Changes following review

src/backend/base/langflow/__main__.py

@@ -228,7 +228,7 @@ def wait_for_server_ready(host, port):
     Wait for the server to become ready by polling the health endpoint.
     """
     status_code = 0
-    while status_code != 200:
+    while status_code != httpx.codes.OK:
         try:
             status_code = httpx.get(f"http://{host}:{port}/health").status_code
         except Exception:
@@ -250,7 +250,6 @@ def run_on_windows(host, port, log_level, options, app):
     """
     print_banner(host, port)
     run_langflow(host, port, log_level, options, app)
-    return
 
 
 def is_port_in_use(port, host="localhost"):

src/backend/base/langflow/api/log_router.py

@@ -11,8 +11,11 @@
 log_router = APIRouter(tags=["Log"])
 
 
+NUMBER_OF_NOT_SENT_BEFORE_KEEPALIVE = 5
+
+
 async def event_generator(request: Request):
-    global log_buffer
+    global log_buffer  # noqa: PLW0602
     last_read_item = None
     current_not_sent = 0
     while not await request.is_disconnected():
@@ -41,7 +44,7 @@ async def event_generator(request: Request):
                 yield f"{json.dumps({ts:msg})}\n\n"
         else:
             current_not_sent += 1
-            if current_not_sent == 5:
+            if current_not_sent == NUMBER_OF_NOT_SENT_BEFORE_KEEPALIVE:
                 current_not_sent = 0
                 yield "keepalive\n\n"
 
@@ -57,7 +60,7 @@ async def stream_logs(
     it establishes a long-lived connection to the server and receives log messages in real-time
     the client should use the head "Accept: text/event-stream"
     """
-    global log_buffer
+    global log_buffer  # noqa: PLW0602
     if log_buffer.enabled() is False:
         raise HTTPException(
             status_code=HTTPStatus.NOT_IMPLEMENTED,
@@ -73,7 +76,7 @@ async def logs(
     lines_after: int = Query(0, description="The number of logs after the timestamp"),
     timestamp: int = Query(0, description="The timestamp to start getting logs from"),
 ):
-    global log_buffer
+    global log_buffer  # noqa: PLW0602
     if log_buffer.enabled() is False:
         raise HTTPException(
             status_code=HTTPStatus.NOT_IMPLEMENTED,
@@ -91,11 +94,10 @@ async def logs(
                 detail="Timestamp is required when requesting logs after the timestamp",
             )
         content = log_buffer.get_last_n(10) if lines_before <= 0 else log_buffer.get_last_n(lines_before)
+    elif lines_before > 0:
+        content = log_buffer.get_before_timestamp(timestamp=timestamp, lines=lines_before)
+    elif lines_after > 0:
+        content = log_buffer.get_after_timestamp(timestamp=timestamp, lines=lines_after)
     else:
-        if lines_before > 0:
-            content = log_buffer.get_before_timestamp(timestamp=timestamp, lines=lines_before)
-        elif lines_after > 0:
-            content = log_buffer.get_after_timestamp(timestamp=timestamp, lines=lines_after)
-        else:
-            content = log_buffer.get_before_timestamp(timestamp=timestamp, lines=10)
+        content = log_buffer.get_before_timestamp(timestamp=timestamp, lines=10)
     return JSONResponse(content=content)

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

@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import uuid
+from datetime import timedelta
 from typing import TYPE_CHECKING, Any
 
 from fastapi import HTTPException
@@ -114,15 +115,18 @@ def format_elapsed_time(elapsed_time: float) -> str:
     - Less than 1 minute: returns seconds rounded to 2 decimals
     - 1 minute or more: returns minutes and seconds
     """
-    if elapsed_time < 1:
-        milliseconds = int(round(elapsed_time * 1000))
+    delta = timedelta(seconds=elapsed_time)
+    if delta < timedelta(seconds=1):
+        milliseconds = round(delta / timedelta(milliseconds=1))
         return f"{milliseconds} ms"
-    if elapsed_time < 60:
+
+    if delta < timedelta(minutes=1):
         seconds = round(elapsed_time, 2)
         unit = "second" if seconds == 1 else "seconds"
         return f"{seconds} {unit}"
-    minutes = int(elapsed_time // 60)
-    seconds = round(elapsed_time % 60, 2)
+
+    minutes = delta // timedelta(minutes=1)
+    seconds = round((delta - timedelta(minutes=minutes)).total_seconds(), 2)
     minutes_unit = "minute" if minutes == 1 else "minutes"
     seconds_unit = "second" if seconds == 1 else "seconds"
     return f"{minutes} {minutes_unit}, {seconds} {seconds_unit}"

src/backend/base/langflow/api/v1/folders.py

@@ -137,7 +137,7 @@ def update_folder(
 
         folder_data = existing_folder.model_dump(exclude_unset=True)
         for key, value in folder_data.items():
-            if key != "components" and key != "flows":
+            if key not in ("components", "flows"):
                 setattr(existing_folder, key, value)
         session.add(existing_folder)
         session.commit()

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

@@ -12,6 +12,8 @@
 from langflow.inputs import MultilineInput, SecretStrInput, StrInput
 from langflow.schema import Data
 
+MIN_ROWS_IN_TABLE = 3
+
 
 class AddContentToPage(LCToolComponent):
     display_name: str = "Add Content to Page "
@@ -91,12 +93,8 @@ def process_node(self, node):
                 if text.startswith("#"):
                     heading_level = text.count("#", 0, 6)
                     heading_text = text[heading_level:].strip()
-                    if heading_level == 1:
-                        blocks.append(self.create_block("heading_1", heading_text))
-                    elif heading_level == 2:
-                        blocks.append(self.create_block("heading_2", heading_text))
-                    elif heading_level == 3:
-                        blocks.append(self.create_block("heading_3", heading_text))
+                    if heading_level in range(3):
+                        blocks.append(self.create_block(f"heading_{heading_level+1}", heading_text))
                 else:
                     blocks.append(self.create_block("paragraph", text))
         elif node.name == "h1":
@@ -154,7 +152,7 @@ def extract_code_block(self, text):
 
     def is_table(self, text):
         rows = text.split("\n")
-        if len(rows) < 2:
+        if len(rows) < MIN_ROWS_IN_TABLE:
             return False
 
         has_separator = False
@@ -167,7 +165,7 @@ def is_table(self, text):
                 elif not cells:
                     return False
 
-        return has_separator and len(rows) >= 3
+        return has_separator
 
     def process_list(self, node, list_type):
         blocks = []
@@ -191,7 +189,7 @@ def process_table(self, node):
         if header_row or body_rows:
             table_width = max(
                 len(header_row.find_all(["th", "td"])) if header_row else 0,
-                max(len(row.find_all(["th", "td"])) for row in body_rows),
+                *(len(row.find_all(["th", "td"])) for row in body_rows),
             )
 
             table_block = self.create_block("table", "", table_width=table_width, has_column_header=bool(header_row))

src/backend/base/langflow/components/chains/ConversationChain.py

@@ -32,9 +32,7 @@ def invoke_chain(self) -> Message:
         if isinstance(result, dict):
             result = result.get(chain.output_key, "")  # type: ignore
 
-        elif isinstance(result, str):
-            result = result
-        else:
+        elif not isinstance(result, str):
             result = result.get("response")
         result = str(result)
         self.status = result

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

@@ -129,13 +129,13 @@ def _get_message_data(self, service: Any, message: Any) -> ChatSession:
                     messages = thread["messages"]
 
                     response_email = None
-                    for message in messages:
-                        email_data = message["payload"]["headers"]
+                    for _message in messages:
+                        email_data = _message["payload"]["headers"]
                         for values in email_data:
                             if values["name"] == "Message-ID":
                                 message_id = values["value"]
                                 if message_id == in_reply_to:
-                                    response_email = message
+                                    response_email = _message
                     if response_email is None:
                         msg = "Response email not found in the thread."
                         raise ValueError(msg)

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

@@ -34,7 +34,7 @@ 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."
+        assert len(embedding_vectors) == 2, "Exactly two embedding vectors are required."  # noqa: PLR2004
 
         embedding_1 = np.array(embedding_vectors[0].data["embeddings"])
         embedding_2 = np.array(embedding_vectors[1].data["embeddings"])

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

@@ -62,7 +62,7 @@ def validate_inference_endpoint(self, inference_endpoint: str) -> bool:
             )
             raise ValueError(msg) from e
 
-        if response.status_code != 200:
+        if response.status_code != requests.codes.ok:
             msg = f"HuggingFace health check failed: {response.status_code}"
             raise ValueError(msg)
         # returning True to solve linting error

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

@@ -76,7 +76,7 @@ def get_models(self) -> list[str]:
             return []
 
     def update_build_config(self, build_config: dict, field_value: str, field_name: str | None = None):
-        if field_name == "groq_api_key" or field_name == "groq_api_base" or field_name == "model_name":
+        if field_name in ("groq_api_key", "groq_api_base", "model_name"):
             models = self.get_models()
             build_config["model_name"]["options"] = models
         return build_config

src/backend/base/langflow/components/prototypes/CreateData.py

@@ -7,6 +7,8 @@
 from langflow.schema import Data
 from langflow.schema.dotdict import dotdict
 
+MAX_NUMBER_OF_FIELDS = 15
+
 
 class CreateDataComponent(Component):
     display_name: str = "Create Data"
@@ -48,9 +50,11 @@ def update_build_config(self, build_config: dotdict, field_value: Any, field_nam
             except ValueError:
                 return build_config
             existing_fields = {}
-            if field_value_int > 15:
-                build_config["number_of_fields"]["value"] = 15
-                msg = "Number of fields cannot exceed 15. Try using a Component to combine two Data."
+            if field_value_int > MAX_NUMBER_OF_FIELDS:
+                build_config["number_of_fields"]["value"] = MAX_NUMBER_OF_FIELDS
+                msg = (
+                    f"Number of fields cannot exceed {MAX_NUMBER_OF_FIELDS}. Try using a Component to combine two Data."
+                )
                 raise ValueError(msg)
             if len(build_config) > len(default_keys):
                 # back up the existing template fields
@@ -89,10 +93,10 @@ def get_data(self):
         for value_dict in self._attributes.values():
             if isinstance(value_dict, dict):
                 # Check if the value of the value_dict is a Data
-                value_dict = {
+                _value_dict = {
                     key: value.get_text() if isinstance(value, Data) else value for key, value in value_dict.items()
                 }
-                data.update(value_dict)
+                data.update(_value_dict)
         return data
 
     def validate_text_key(self):

src/backend/base/langflow/components/prototypes/RunnableExecutor.py

@@ -66,7 +66,7 @@ def get_output(self, result, input_key, output_key):
 
         if output_key in result:
             result_value = result.get(output_key)
-        elif len(result) == 2 and input_key in result:
+        elif len(result) == 2 and input_key in result:  # noqa: PLR2004
             # get the other key from the result dict
             other_key = next(k for k in result if k != input_key)
             if other_key == output_key:

src/backend/base/langflow/components/prototypes/UpdateData.py

@@ -7,6 +7,8 @@
 from langflow.schema import Data
 from langflow.schema.dotdict import dotdict
 
+MAX_NUMBER_OF_FIELDS = 15
+
 
 class UpdateDataComponent(Component):
     display_name: str = "Update data"
@@ -54,9 +56,11 @@ def update_build_config(self, build_config: dotdict, field_value: Any, field_nam
             except ValueError:
                 return build_config
             existing_fields = {}
-            if field_value_int > 15:
-                build_config["number_of_fields"]["value"] = 15
-                msg = "Number of fields cannot exceed 15. Try using a Component to combine two Data."
+            if field_value_int > MAX_NUMBER_OF_FIELDS:
+                build_config["number_of_fields"]["value"] = MAX_NUMBER_OF_FIELDS
+                msg = (
+                    f"Number of fields cannot exceed {MAX_NUMBER_OF_FIELDS}. Try using a Component to combine two Data."
+                )
                 raise ValueError(msg)
             if len(build_config) > len(default_keys):
                 # back up the existing template fields
@@ -96,10 +100,10 @@ def get_data(self):
         for value_dict in self._attributes.values():
             if isinstance(value_dict, dict):
                 # Check if the value of the value_dict is a Data
-                value_dict = {
+                _value_dict = {
                     key: value.get_text() if isinstance(value, Data) else value for key, value in value_dict.items()
                 }
-                data.update(value_dict)
+                data.update(_value_dict)
         return data
 
     def validate_text_key(self, data: Data):

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

@@ -86,7 +86,7 @@ def update_build_config(self, build_config: dotdict, field_value: Any, field_nam
         if field_name is None:
             return build_config
 
-        if field_name != "tool_code" and field_name != "tool_function":
+        if field_name not in ("tool_code", "tool_function"):
             return build_config
 
         try:

src/backend/base/langflow/components/vectorstores/MongoDBAtlasVector.py

@@ -56,24 +56,15 @@ def build_vector_store(self) -> MongoDBAtlasVectorSearch:
             else:
                 documents.append(_input)
 
-            if documents:
-                vector_store = MongoDBAtlasVectorSearch.from_documents(
-                    documents=documents, embedding=self.embedding, collection=collection, index_name=self.index_name
-                )
-            else:
-                vector_store = MongoDBAtlasVectorSearch(
-                    embedding=self.embedding,
-                    collection=collection,
-                    index_name=self.index_name,
-                )
-        else:
-            vector_store = MongoDBAtlasVectorSearch(
-                embedding=self.embedding,
-                collection=collection,
-                index_name=self.index_name,
+        if documents:
+            return MongoDBAtlasVectorSearch.from_documents(
+                documents=documents, embedding=self.embedding, collection=collection, index_name=self.index_name
             )
-
-        return vector_store
+        return MongoDBAtlasVectorSearch(
+            embedding=self.embedding,
+            collection=collection,
+            index_name=self.index_name,
+        )
 
     def search_documents(self) -> list[Data]:
         from bson.objectid import ObjectId

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

@@ -352,8 +352,8 @@ def parse_classes(self, node: ast.ClassDef) -> None:
             methods=[],
             init=None,
         )
-        for node in nodes:
-            self.process_class_node(node, class_details)
+        for _node in nodes:
+            self.process_class_node(_node, class_details)
         self.data["classes"].append(class_details.model_dump())
 
     def process_class_node(self, node, class_details):

src/backend/base/langflow/custom/custom_component/component.py

@@ -42,7 +42,7 @@
 
 
 def _get_component_toolkit():
-    global _ComponentToolkit
+    global _ComponentToolkit  # noqa: PLW0603
     if _ComponentToolkit is None:
         from langflow.base.tools.component_tool import ComponentToolkit
 

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

@@ -116,8 +116,8 @@ def read_file_content(self, file_path):
             except UnicodeDecodeError:
                 # This is happening in Windows, so we need to open the file in binary mode
                 # The file is always just a python file, so we can safely read it as utf-8
-                with _file_path.open("rb") as file:
-                    return file.read().decode("utf-8")
+                with _file_path.open("rb") as f:
+                    return f.read().decode("utf-8")
 
     def get_files(self):
         """