From 1138869d0ff8bb1046e7603826ba5ad5f30f5534 Mon Sep 17 00:00:00 2001 From: Mendon Kissling <59585235+mendonk@users.noreply.github.com> Date: Fri, 8 Nov 2024 09:00:43 -0500 Subject: [PATCH 1/8] Docs: backend only mode (#4405) * initial-cleanup-and-test * better-flow * config * Apply suggestions from code review Co-authored-by: KimberlyFields <46325568+KimberlyFields@users.noreply.github.com> * more-why-clarity * cleanup * code-review-and-tech-review --------- Co-authored-by: KimberlyFields <46325568+KimberlyFields@users.noreply.github.com> --- .../configuration-backend-only.md | 161 +++++++----------- 1 file changed, 65 insertions(+), 96 deletions(-) diff --git a/docs/docs/Configuration/configuration-backend-only.md b/docs/docs/Configuration/configuration-backend-only.md index 7e6d906ae26..8235722538b 100644 --- a/docs/docs/Configuration/configuration-backend-only.md +++ b/docs/docs/Configuration/configuration-backend-only.md @@ -1,154 +1,123 @@ --- -title: Backend-Only +title: Run Langflow in backend-only mode sidebar_position: 4 slug: /configuration-backend-only --- +Langflow can run in `--backend-only` mode to expose a Langflow app as an API endpoint, without running the frontend UI. +This is also known as "headless" mode. Running Langflow without the frontend is useful for automation, testing, and situations where you just need to serve a flow as a workload without creating a new flow in the UI. +To run Langflow in backend-only mode, pass the `--backend-only` flag at startup. -:::info - -This page may contain outdated information. It will be updated as soon as possible. - -::: - - - - -You can run Langflow in `--backend-only` mode to expose your Langflow app as an API, without running the frontend UI. - +```python +python3 -m langflow run --backend-only +``` -Start langflow in backend-only mode with `python3 -m langflow run --backend-only`. +The terminal prints `Welcome to ⛓ Langflow`, and Langflow will now serve requests to its API without the frontend running. +## Set up a basic prompting flow in backend-only mode -The terminal prints `Welcome to ⛓ Langflow`, and a blank window opens at `http://127.0.0.1:7864/all`. -Langflow will now serve requests to its API without the frontend running. +This example shows you how to set up a [Basic Prompting flow](/starter-projects-basic-prompting) as an endpoint in backend-only mode. +However, you can use these same instructions as guidelines for using any type of flow in backend-only mode. +### Prerequisites -## Prerequisites {#81dfa9407ed648889081b9d08b0e5cfe} +- [Langflow is installed](/getting-started-installation) +- [You have an OpenAI API key](https://platform.openai.com/) +- [You have a Langflow Basic Prompting flow](/starter-projects-basic-prompting) -- [Langflow installed](/getting-started-installation) -- [OpenAI API key](https://platform.openai.com/) -- [A Langflow flow created](/starter-projects-basic-prompting) +### Get your flow's ID -## Download your flow's curl call {#d2cf1b694e4741eca07fd9806516007b} +This guide assumes you have created a [Basic Prompting flow](/starter-projects-basic-prompting) or have another working flow available. -1. Click API. -2. Click **curl** > **Copy code** and save the code to your local machine. +1. In the Langflow UI, click **API**. +2. Click **curl** > **Copy code** to copy the curl command. +This command will POST input to your flow's endpoint. It will look something like this: ```text -curl -X POST \\ - "" \\ - -H 'Content-Type: application/json'\\ +curl -X POST \ + "http://127.0.0.1:7861/api/v1/run/fff8dcaa-f0f6-4136-9df0-b7cb38de42e0?stream=false" \ + -H 'Content-Type: application/json'\ -d '{"input_value": "message", "output_type": "chat", "input_type": "chat", "tweaks": { - "Prompt-kvo86": {}, - "OpenAIModel-MilkD": {}, - "ChatOutput-ktwdw": {}, - "ChatInput-xXC4F": {} + "ChatInput-8a86T": {}, + "Prompt-pKfl9": {}, + "ChatOutput-WcGpD": {}, + "OpenAIModel-5UyvQ": {} }}' - ``` +The flow ID in this example is `fff8dcaa-f0f6-4136-9df0-b7cb38de42e0`, a UUID generated by Langflow and used in the endpoint URL. +See [Project & General Settings](/settings-project-general-settings) to change the endpoint. -Note the flow ID of `ef7e0554-69e5-4e3e-ab29-ee83bcd8d9ef`. You can find this ID in the UI as well to ensure you're querying the right flow. +3. To stop Langflow, press **Ctrl+C**. +### Start Langflow in backend-only mode -## Start Langflow in backend-only mode {#f0ba018daf3041c39c0d226dadf78d35} +1. Start Langflow in backend-only mode. -1. Stop Langflow with Ctrl+C. -2. Start langflow in backend-only mode with `python3 -m langflow run --backend-only`. -The terminal prints `Welcome to ⛓ Langflow`, and a blank window opens at `http://127.0.0.1:7864/all`. -Langflow will now serve requests to its API. -3. Run the curl code you copied from the UI. +```python +python3 -m langflow run --backend-only +``` + +The terminal prints `Welcome to ⛓ Langflow`. +Langflow is now serving requests to its API. + +2. Run the curl code you copied from the UI. You should get a result like this: ```shell {"session_id":"ef7e0554-69e5-4e3e-ab29-ee83bcd8d9ef:bf81d898868ac87e1b4edbd96c131c5dee801ea2971122cc91352d144a45b880","outputs":[{"inputs":{"input_value":"hi, are you there?"},"outputs":[{"results":{"result":"Arrr, ahoy matey! Aye, I be here. What be ye needin', me hearty?"},"artifacts":{"message":"Arrr, ahoy matey! Aye, I be here. What be ye needin', me hearty?","sender":"Machine","sender_name":"AI"},"messages":[{"message":"Arrr, ahoy matey! Aye, I be here. What be ye needin', me hearty?","sender":"Machine","sender_name":"AI","component_id":"ChatOutput-ktwdw"}],"component_display_name":"Chat Output","component_id":"ChatOutput-ktwdw","used_frozen_result":false}]}]}% - ``` +This confirms Langflow is receiving your POST request, running the flow, and returning the result without running the frontend. -Again, note that the flow ID matches. -Langflow is receiving your POST request, running the flow, and returning the result, all without running the frontend. Cool! +You can interact with this endpoint using the other options in the **API** menu, including the Python and Javascript APIs. +### Query the Langflow endpoint with a Python script -## Download your flow's Python API call {#5923ff9dc40843c7a22a72fa6c66540c} +Using the same flow ID, run a Python sample script to send a query and get a prettified JSON response back. - -Instead of using curl, you can download your flow as a Python API call instead. - -1. Click API. -2. Click **Python API** > **Copy code** and save the code to your local machine. -The code will look something like this: +1. Create a Python file and name it `langflow_api_demo.py`. ```python import requests -from typing import Optional - -BASE_API_URL = "" -FLOW_ID = "ef7e0554-69e5-4e3e-ab29-ee83bcd8d9ef" -# You can tweak the flow by adding a tweaks dictionary -# e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}} - -def run_flow(message: str, - flow_id: str, - output_type: str = "chat", - input_type: str = "chat", - tweaks: Optional[dict] = None, - api_key: Optional[str] = None) -> dict: - """Run a flow with a given message and optional tweaks. - - :param message: The message to send to the flow - :param flow_id: The ID of the flow to run - :param tweaks: Optional tweaks to customize the flow - :return: The JSON response from the flow - """ - api_url = f"{BASE_API_URL}/{flow_id}" - payload = { - "input_value": message, - "output_type": output_type, - "input_type": input_type, - } - headers = None - if tweaks: - payload["tweaks"] = tweaks - if api_key: - headers = {"x-api-key": api_key} - response = requests.post(api_url, json=payload, headers=headers) - return response.json() - - # Setup any tweaks you want to apply to the flow - - message = "message" - - print(run_flow(message=message, flow_id=FLOW_ID)) +import json -``` +def query_langflow(message): + url = "http://127.0.0.1:7861/api/v1/run/fff8dcaa-f0f6-4136-9df0-b7cb38de42e0" + headers = {"Content-Type": "application/json"} + data = {"input_value": message} + response = requests.post(url, headers=headers, json=data) + return response.json() -3. Run your Python app: +user_input = input("Enter your message: ") +result = query_langflow(user_input) - -```shell -python3 app.py +print(json.dumps(result, indent=2)) ``` +2. Run the script. +```python +python langflow_api_demo.py +``` -The result is similar to the curl call: +3. Enter your message when prompted. +You will get a prettified JSON response back containing a response to your message. +### Configure host and ports in backend-only mode -```json -{'session_id': 'ef7e0554-69e5-4e3e-ab29-ee83bcd8d9ef:bf81d898868ac87e1b4edbd96c131c5dee801ea2971122cc91352d144a45b880', 'outputs': [{'inputs': {'input_value': 'message'}, 'outputs': [{'results': {'result': "Arrr matey! What be yer message for this ol' pirate? Speak up or walk the plank!"}, 'artifacts': {'message': "Arrr matey! What be yer message for this ol' pirate? Speak up or walk the plank!", 'sender': 'Machine', 'sender_name': 'AI'}, 'messages': [{'message': "Arrr matey! What be yer message for this ol' pirate? Speak up or walk the plank!", 'sender': 'Machine', 'sender_name': 'AI', 'component_id': 'ChatOutput-ktwdw'}], 'component_display_name': 'Chat Output', 'component_id': 'ChatOutput-ktwdw', 'used_frozen_result': False}]}]} +To change the host and port, pass the values as additional flags. +```python +python -m langflow run --host 127.0.0.1 --port 7860 --backend-only ``` -Your Python app POSTs to your Langflow server, and the server runs the flow and returns the result. -See [API](https://www.notion.so/administration/api) for more ways to interact with your headless Langflow server. From 7114cc47997ee58845dcc34c761e5399e9b5d495 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Fri, 8 Nov 2024 11:41:01 -0300 Subject: [PATCH 2/8] ci: Add temporary database setup for performance tests (#4469) Add temporary database setup for performance tests and assertions for database URL --- .github/workflows/codspeed.yml | 6 +++++ .../tests/performance/test_server_init.py | 25 +++++++++++++++++++ .../custom_component/test_component_events.py | 6 ++++- 3 files changed, 36 insertions(+), 1 deletion(-) diff --git a/.github/workflows/codspeed.yml b/.github/workflows/codspeed.yml index 6c35ba31ded..f63de7942f8 100644 --- a/.github/workflows/codspeed.yml +++ b/.github/workflows/codspeed.yml @@ -2,9 +2,15 @@ name: Run benchmarks on: push: + paths: + - "src/backend/base/**" + - "src/backend/tests/performance/**" branches: - "main" # or "master" pull_request: + paths: + - "src/backend/base/**" + - "src/backend/tests/performance/**" workflow_dispatch: jobs: diff --git a/src/backend/tests/performance/test_server_init.py b/src/backend/tests/performance/test_server_init.py index 03a8571ee5c..630efd17b0e 100644 --- a/src/backend/tests/performance/test_server_init.py +++ b/src/backend/tests/performance/test_server_init.py @@ -4,12 +4,29 @@ from langflow.services.deps import get_settings_service +@pytest.fixture(autouse=True) +def setup_database_url(tmp_path, monkeypatch): + """Setup a temporary database URL for testing.""" + db_path = tmp_path / "test_performance.db" + original_value = monkeypatch.delenv("LANGFLOW_DATABASE_URL", raising=False) + test_db_url = f"sqlite:///{db_path}" + monkeypatch.setenv("LANGFLOW_DATABASE_URL", test_db_url) + yield + # Restore original value if it existed + if original_value is not None: + monkeypatch.setenv("LANGFLOW_DATABASE_URL", original_value) + else: + monkeypatch.delenv("LANGFLOW_DATABASE_URL", raising=False) + + @pytest.mark.benchmark async def test_initialize_services(): """Benchmark the initialization of services.""" from langflow.services.utils import initialize_services await asyncio.to_thread(initialize_services, fix_migration=False) + settings_service = await asyncio.to_thread(get_settings_service) + assert "test_performance.db" in settings_service.settings.database_url @pytest.mark.benchmark @@ -18,6 +35,8 @@ async def test_setup_llm_caching(): from langflow.interface.utils import setup_llm_caching await asyncio.to_thread(setup_llm_caching) + settings_service = await asyncio.to_thread(get_settings_service) + assert "test_performance.db" in settings_service.settings.database_url @pytest.mark.benchmark @@ -28,6 +47,8 @@ async def test_initialize_super_user(): await asyncio.to_thread(initialize_services, fix_migration=False) await asyncio.to_thread(initialize_super_user_if_needed) + settings_service = await asyncio.to_thread(get_settings_service) + assert "test_performance.db" in settings_service.settings.database_url @pytest.mark.benchmark @@ -38,6 +59,7 @@ async def test_get_and_cache_all_types_dict(): settings_service = await asyncio.to_thread(get_settings_service) result = await asyncio.to_thread(get_and_cache_all_types_dict, settings_service) assert result is not None + assert "test_performance.db" in settings_service.settings.database_url @pytest.mark.benchmark @@ -51,6 +73,7 @@ async def test_create_starter_projects(): settings_service = await asyncio.to_thread(get_settings_service) types_dict = await get_and_cache_all_types_dict(settings_service) await asyncio.to_thread(create_or_update_starter_projects, types_dict) + assert "test_performance.db" in settings_service.settings.database_url @pytest.mark.benchmark @@ -59,3 +82,5 @@ async def test_load_flows(): from langflow.initial_setup.setup import load_flows_from_directory await asyncio.to_thread(load_flows_from_directory) + settings_service = await asyncio.to_thread(get_settings_service) + assert "test_performance.db" in settings_service.settings.database_url diff --git a/src/backend/tests/unit/custom/custom_component/test_component_events.py b/src/backend/tests/unit/custom/custom_component/test_component_events.py index 970a3e85f06..8347fe721af 100644 --- a/src/backend/tests/unit/custom/custom_component/test_component_events.py +++ b/src/backend/tests/unit/custom/custom_component/test_component_events.py @@ -60,6 +60,7 @@ async def test_component_message_sending(): assert isinstance(sent_message.content_blocks[0].contents[0], TextContent) +@pytest.mark.usefixtures("client") async def test_component_tool_output(): """Test component's tool output functionality.""" # Create event queue and manager @@ -92,6 +93,7 @@ async def test_component_tool_output(): assert isinstance(sent_message.content_blocks[0].contents[0], ToolContent) +@pytest.mark.usefixtures("client") async def test_component_error_handling(): """Test component's error handling.""" # Create event queue and manager @@ -123,6 +125,7 @@ class CustomError(Exception): assert "Test error" in str(sent_message.text) +@pytest.mark.usefixtures("client") async def test_component_build_results(): """Test component's build_results functionality.""" # Create event queue and manager @@ -154,6 +157,7 @@ async def test_component_build_results(): assert artifacts["text_output"]["type"] == "text" +@pytest.mark.usefixtures("client") async def test_component_logging(): """Test component's logging functionality.""" # Create event queue and manager @@ -188,7 +192,7 @@ def log_callback(*, manager: EventManager, event_type: str, data: dict): # noqa assert event_id.startswith("info-") -@pytest.mark.asyncio +@pytest.mark.usefixtures("client") async def test_component_streaming_message(): """Test component's streaming message functionality.""" queue = await create_event_queue() From 98274633db7c8c6c81f5e468c0037a9255cda5a6 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Fri, 8 Nov 2024 13:24:19 -0300 Subject: [PATCH 3/8] fix: remove use of ImagePromptTemplate in image handling and adds image utils (#4467) * remove poetry.lock * fix: update langchain-core dependency version to 0.3.15 * feat: add functions to convert images to base64 and create data URLs * refactor: simplify image URL handling by replacing ImagePromptTemplate with create_data_url function * Fix image URL structure in data schema to use nested dictionary format * Add unit tests for Data schema message conversion with text and images * test: add unit tests for image utility functions to validate base64 conversion and data URL creation * Refactor image URL generation to use `create_data_url` utility function instead of `ImagePromptTemplate` * Add unit tests for message handling and image processing in schema module - Introduce fixtures for temporary cache directory and sample image creation. - Add tests for message creation from human and AI text. - Implement tests for messages with single and multiple images. - Include tests for invalid image paths and messages without sender. - Add message 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-from typing import TYPE_CHECKING, cast +from typing import cast from uuid import UUID from langchain_core.documents import Document from langchain_core.messages import AIMessage, BaseMessage, HumanMessage -from langchain_core.prompts.image import ImagePromptTemplate from loguru import logger from pydantic import BaseModel, model_serializer, model_validator from langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_USER - -if TYPE_CHECKING: - from langchain_core.prompt_values import ImagePromptValue +from langflow.utils.image import create_data_url class Data(BaseModel): @@ -140,11 +137,8 @@ def to_lc_message( if files: contents = [{"type": "text", "text": text}] for file_path in files: - image_template = ImagePromptTemplate() - image_prompt_value: ImagePromptValue = image_template.invoke( - input={"path": file_path}, config={"callbacks": self.get_langchain_callbacks()} - ) - contents.append({"type": "image_url", "image_url": image_prompt_value.image_url}) + image_url = create_data_url(file_path) + contents.append({"type": "image_url", "image_url": {"url": image_url}}) human_message = HumanMessage(content=contents) else: human_message = HumanMessage( diff --git a/src/backend/base/langflow/schema/message.py b/src/backend/base/langflow/schema/message.py index 706a5cc8d04..ea78f0f510a 100644 --- a/src/backend/base/langflow/schema/message.py +++ b/src/backend/base/langflow/schema/message.py @@ -5,14 +5,13 @@ import traceback from collections.abc import AsyncIterator, Iterator from datetime import datetime, timezone -from typing import TYPE_CHECKING, Annotated, Any, Literal +from typing import Annotated, Any, Literal from uuid import UUID from fastapi.encoders import jsonable_encoder from langchain_core.load import load from langchain_core.messages import AIMessage, BaseMessage, HumanMessage, SystemMessage from langchain_core.prompts import BaseChatPromptTemplate, ChatPromptTemplate, PromptTemplate -from langchain_core.prompts.image import ImagePromptTemplate from loguru import logger from pydantic import BaseModel, ConfigDict, Field, ValidationError, field_serializer, field_validator @@ -29,9 +28,7 @@ MESSAGE_SENDER_NAME_USER, MESSAGE_SENDER_USER, ) - -if TYPE_CHECKING: - from langchain_core.prompt_values import ImagePromptValue +from langflow.utils.image import create_data_url class Message(Data): @@ -203,9 +200,8 @@ def get_file_content_dicts(self): if isinstance(file, Image): content_dicts.append(file.to_content_dict()) else: - image_template = ImagePromptTemplate() - image_prompt_value: ImagePromptValue = image_template.invoke(input={"path": file}) - content_dicts.append({"type": "image_url", "image_url": image_prompt_value.image_url}) + image_url = create_data_url(file) + content_dicts.append({"type": "image_url", "image_url": {"url": image_url}}) return content_dicts def load_lc_prompt(self): diff --git a/src/backend/base/langflow/utils/image.py b/src/backend/base/langflow/utils/image.py new file mode 100644 index 00000000000..65add51c051 --- /dev/null +++ b/src/backend/base/langflow/utils/image.py @@ -0,0 +1,69 @@ +import base64 +import mimetypes +from pathlib import Path + + +def convert_image_to_base64(image_path: str | Path) -> str: + """Convert an image file to a base64 encoded string. + + Args: + image_path (str | Path): Path to the image file. + + Returns: + str: Base64 encoded string representation of the image. + + Raises: + FileNotFoundError: If the image file does not exist. + IOError: If there's an error reading the image file. + ValueError: If the image path is empty or invalid. + """ + if not image_path: + msg = "Image path cannot be empty" + raise ValueError(msg) + + image_path = Path(image_path) + + if not image_path.exists(): + msg = f"Image file not found: {image_path}" + raise FileNotFoundError(msg) + + if not image_path.is_file(): + msg = f"Path is not a file: {image_path}" + raise ValueError(msg) + + try: + with image_path.open("rb") as image_file: + return base64.b64encode(image_file.read()).decode("utf-8") + except OSError as e: + msg = f"Error reading image file: {e}" + raise OSError(msg) from e + + +def create_data_url(image_path: str | Path, mime_type: str | None = None) -> str: + """Create a data URL from an image file. + + Args: + image_path (str | Path): Path to the image file. + mime_type (Optional[str], optional): MIME type of the image. + If None, it will be guessed from the file extension. + + Returns: + str: Data URL containing the base64 encoded image. + + Raises: + FileNotFoundError: If the image file does not exist. + IOError: If there's an error reading the image file. + ValueError: If the image path is empty or invalid. + """ + if not mime_type: + mime_type = mimetypes.guess_type(str(image_path))[0] + if not mime_type: + msg = f"Could not determine MIME type for: {image_path}" + raise ValueError(msg) + + try: + base64_data = convert_image_to_base64(image_path) + except (OSError, FileNotFoundError, ValueError) as e: + msg = f"Failed to create data URL: {e}" + raise type(e)(msg) from e + return f"data:{mime_type};base64,{base64_data}" diff --git a/src/backend/base/pyproject.toml b/src/backend/base/pyproject.toml index d812c7525ac..f432e123d30 100644 --- a/src/backend/base/pyproject.toml +++ b/src/backend/base/pyproject.toml @@ -111,7 +111,7 @@ dependencies = [ "uvicorn>=0.30.0", "gunicorn>=22.0.0", "langchain~=0.3.3", - "langchain-core~=0.3.10", + "langchain-core~=0.3.15", "langchainhub~=0.1.15", "sqlmodel==0.0.18", "loguru>=0.7.1", diff --git a/src/backend/tests/unit/schema/test_schema_data.py b/src/backend/tests/unit/schema/test_schema_data.py new file mode 100644 index 00000000000..6eff0ac68f5 --- /dev/null +++ b/src/backend/tests/unit/schema/test_schema_data.py @@ -0,0 +1,92 @@ +import pytest +from langchain_core.messages import AIMessage, HumanMessage +from langflow.schema.data import Data +from langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_USER + + +@pytest.fixture +def sample_image(tmp_path): + """Create a sample image file for testing.""" + image_path = tmp_path / "test_image.png" + # Create a small black 1x1 pixel PNG file + import base64 + + image_content = base64.b64decode( + "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAACklEQVR4nGMAAQAABQABDQottAAAAABJRU5ErkJggg==" + ) + image_path.write_bytes(image_content) + return image_path + + +class TestDataSchema: + def test_data_to_message_with_text_only(self): + """Test conversion of Data to Message with text only.""" + data = Data(data={"text": "Hello, world!", "sender": MESSAGE_SENDER_USER}) + message = data.to_lc_message() + assert isinstance(message, HumanMessage) + assert message.content == [{"type": "text", "text": "Hello, world!"}] + + def test_data_to_message_with_image(self, sample_image): + """Test conversion of Data to Message with text and image.""" + data = Data(data={"text": "Check out this image", "sender": MESSAGE_SENDER_USER, "files": [str(sample_image)]}) + message = data.to_lc_message() + + assert isinstance(message, HumanMessage) + assert isinstance(message.content, list) + assert len(message.content) == 2 + + # Check text content + assert message.content[0] == {"type": "text", "text": "Check out this image"} + + # Check image content + assert message.content[1]["type"] == "image_url" + assert "url" in message.content[1]["image_url"] + assert message.content[1]["image_url"]["url"].startswith("data:image/png;base64,") + + def test_data_to_message_with_multiple_images(self, sample_image, tmp_path): + """Test conversion of Data to Message with multiple images.""" + # Create a second image + second_image = tmp_path / "second_image.png" + second_image.write_bytes(sample_image.read_bytes()) + + data = Data( + data={ + "text": "Multiple images", + "sender": MESSAGE_SENDER_USER, + "files": [str(sample_image), str(second_image)], + } + ) + message = data.to_lc_message() + + assert isinstance(message, HumanMessage) + assert isinstance(message.content, list) + assert len(message.content) == 3 # text + 2 images + + # Check text content + assert message.content[0]["type"] == "text" + + # Check both images + assert message.content[1]["type"] == "image_url" + assert message.content[2]["type"] == "image_url" + assert all(content["image_url"]["url"].startswith("data:image/png;base64,") for content in message.content[1:]) + + def test_data_to_message_ai_response(self): + """Test conversion of Data to AI Message.""" + data = Data(data={"text": "AI response", "sender": MESSAGE_SENDER_AI}) + message = data.to_lc_message() + assert isinstance(message, AIMessage) + assert message.content == "AI response" + + def test_data_to_message_missing_required_keys(self): + """Test conversion fails with missing required keys.""" + data = Data(data={"incomplete": "data"}) + with pytest.raises(ValueError, match="Missing required keys"): + data.to_lc_message() + + def test_data_to_message_invalid_image_path(self, tmp_path): + """Test handling of invalid image path.""" + non_existent_image = tmp_path / "non_existent.png" + data = Data(data={"text": "Invalid image", "sender": MESSAGE_SENDER_USER, "files": [str(non_existent_image)]}) + + with pytest.raises(FileNotFoundError): + data.to_lc_message() diff --git a/src/backend/tests/unit/schema/test_schema_message.py b/src/backend/tests/unit/schema/test_schema_message.py index ab0cdd2d7c1..770cfb48edc 100644 --- a/src/backend/tests/unit/schema/test_schema_message.py +++ b/src/backend/tests/unit/schema/test_schema_message.py @@ -1,5 +1,50 @@ +import shutil +from pathlib import Path + +import pytest +from langchain_core.messages import AIMessage, HumanMessage from langchain_core.prompts.chat import ChatPromptTemplate from langflow.schema.message import Message +from langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_USER +from platformdirs import user_cache_dir + + +@pytest.fixture +def langflow_cache_dir(tmp_path): + """Create a temporary langflow cache directory.""" + cache_dir = tmp_path / "langflow" + cache_dir.mkdir(parents=True) + return cache_dir + + +@pytest.fixture +def sample_image(langflow_cache_dir): + """Create a sample image file for testing.""" + # Create the test_flow directory in the cache + flow_dir = langflow_cache_dir / "test_flow" + flow_dir.mkdir(parents=True, exist_ok=True) + + # Create the image in the flow directory + image_path = flow_dir / "test_image.png" + # Create a small black 1x1 pixel PNG file + import base64 + + image_content = base64.b64decode( + "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAACklEQVR4nGMAAQAABQABDQottAAAAABJRU5ErkJggg==" + ) + image_path.write_bytes(image_content) + + # Use platformdirs to get the cache directory + real_cache_dir = Path(user_cache_dir("langflow")) + real_cache_dir.mkdir(parents=True, exist_ok=True) + real_flow_dir = real_cache_dir / "test_flow" + real_flow_dir.mkdir(parents=True, exist_ok=True) + + # Copy the image to the real cache location + real_image_path = real_flow_dir / "test_image.png" + shutil.copy2(str(image_path), str(real_image_path)) + + return image_path def test_message_prompt_serialization(): @@ -10,3 +55,125 @@ def test_message_prompt_serialization(): prompt = message.load_lc_prompt() assert isinstance(prompt, ChatPromptTemplate) assert prompt.messages[0].content == "Hello, Langflow!" + + +def test_message_from_human_text(): + """Test creating a message from human text.""" + text = "Hello, AI!" + message = Message(text=text, sender=MESSAGE_SENDER_USER) + lc_message = message.to_lc_message() + + assert isinstance(lc_message, HumanMessage) + assert lc_message.content == text + + +def test_message_from_ai_text(): + """Test creating a message from AI text.""" + text = "Hello, Human!" + message = Message(text=text, sender=MESSAGE_SENDER_AI) + lc_message = message.to_lc_message() + + assert isinstance(lc_message, AIMessage) + assert lc_message.content == text + + +def test_message_with_single_image(sample_image): + """Test creating a message with text and an image.""" + text = "Check out this image" + # Format the file path as expected: "flow_id/filename" + file_path = f"test_flow/{sample_image.name}" + message = Message(text=text, sender=MESSAGE_SENDER_USER, files=[file_path]) + lc_message = message.to_lc_message() + + assert isinstance(lc_message, HumanMessage) + assert isinstance(lc_message.content, list) + assert len(lc_message.content) == 2 + + # Check text content + assert lc_message.content[0] == {"type": "text", "text": text} + + # Check image content + assert lc_message.content[1]["type"] == "image_url" + assert "url" in lc_message.content[1]["image_url"] + assert lc_message.content[1]["image_url"]["url"].startswith("data:image/png;base64,") + + +def test_message_with_multiple_images(sample_image, langflow_cache_dir): + """Test creating a message with multiple images.""" + # Create a second image in the cache directory + flow_dir = langflow_cache_dir / "test_flow" + second_image = flow_dir / "second_image.png" + shutil.copy2(str(sample_image), str(second_image)) + + # Use platformdirs for the real cache location + real_cache_dir = Path(user_cache_dir("langflow")) / "test_flow" + real_cache_dir.mkdir(parents=True, exist_ok=True) + real_second_image = real_cache_dir / "second_image.png" + shutil.copy2(str(sample_image), str(real_second_image)) + + text = "Multiple images" + message = Message( + text=text, + sender=MESSAGE_SENDER_USER, + files=[f"test_flow/{sample_image.name}", f"test_flow/{second_image.name}"], + ) + lc_message = message.to_lc_message() + + assert isinstance(lc_message, HumanMessage) + assert isinstance(lc_message.content, list) + assert len(lc_message.content) == 3 # text + 2 images + + # Check text content + assert lc_message.content[0] == {"type": "text", "text": text} + + # Check both images + assert all( + content["type"] == "image_url" and content["image_url"]["url"].startswith("data:image/png;base64,") + for content in lc_message.content[1:] + ) + + +def test_message_with_invalid_image_path(): + """Test handling of invalid image path.""" + file_path = "test_flow/non_existent.png" + message = Message(text="Invalid image", sender=MESSAGE_SENDER_USER, files=[file_path]) + + with pytest.raises(FileNotFoundError): + message.to_lc_message() + + +def test_message_without_sender(): + """Test message creation without sender specification.""" + # Create message without sender + message = Message(text="Test message") + # Verify the message was created but has no sender + assert message.text == "Test message" + assert message.sender is None + + +def test_message_serialization(): + """Test message serialization to dict.""" + message = Message(text="Test message", sender=MESSAGE_SENDER_USER) + serialized = message.model_dump() + + assert serialized["text"] == "Test message" + assert serialized["sender"] == MESSAGE_SENDER_USER + + +def test_message_to_lc_without_sender(): + """Test converting a message without sender to langchain message.""" + message = Message(text="Test message") + # When no sender is specified, it defaults to HumanMessage + lc_message = message.to_lc_message() + assert isinstance(lc_message, HumanMessage) + assert lc_message.content == "Test message" + + +# Clean up the cache directory after all tests +@pytest.fixture(autouse=True) +def cleanup(): + yield + # Clean up the real cache directory after tests + cache_dir = Path(user_cache_dir("langflow")) + if cache_dir.exists(): + shutil.rmtree(str(cache_dir)) diff --git a/src/backend/tests/unit/utils/test_image_utils.py b/src/backend/tests/unit/utils/test_image_utils.py new file mode 100644 index 00000000000..f1f38c40bb6 --- /dev/null +++ b/src/backend/tests/unit/utils/test_image_utils.py @@ -0,0 +1,66 @@ +import base64 + +import pytest +from langflow.utils.image import convert_image_to_base64, create_data_url + + +@pytest.fixture +def sample_image(tmp_path): + """Create a sample image file for testing.""" + image_path = tmp_path / "test_image.png" + # Create a small black 1x1 pixel PNG file + image_content = base64.b64decode( + "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAACklEQVR4nGMAAQAABQABDQottAAAAABJRU5ErkJggg==" + ) + image_path.write_bytes(image_content) + return image_path + + +class TestImageUtils: + def test_convert_image_to_base64_success(self, sample_image): + """Test successful conversion of image to base64.""" + base64_str = convert_image_to_base64(sample_image) + assert isinstance(base64_str, str) + # Verify it's valid base64 + assert base64.b64decode(base64_str) + + def test_convert_image_to_base64_empty_path(self): + """Test conversion with empty path.""" + with pytest.raises(ValueError, match="Image path cannot be empty"): + convert_image_to_base64("") + + def test_convert_image_to_base64_nonexistent_file(self): + """Test conversion with non-existent file.""" + with pytest.raises(FileNotFoundError, match="Image file not found"): + convert_image_to_base64("nonexistent.png") + + def test_convert_image_to_base64_directory(self, tmp_path): + """Test conversion with directory path instead of file.""" + with pytest.raises(ValueError, match="Path is not a file"): + convert_image_to_base64(tmp_path) + + def test_create_data_url_success(self, sample_image): + """Test successful creation of data URL.""" + data_url = create_data_url(sample_image) + assert data_url.startswith("data:image/png;base64,") + # Verify the base64 part is valid + base64_part = data_url.split(",")[1] + assert base64.b64decode(base64_part) + + def test_create_data_url_with_custom_mime(self, sample_image): + """Test creation of data URL with custom MIME type.""" + custom_mime = "image/custom" + data_url = create_data_url(sample_image, mime_type=custom_mime) + assert data_url.startswith(f"data:{custom_mime};base64,") + + def test_create_data_url_invalid_file(self): + """Test creation of data URL with invalid file.""" + with pytest.raises(FileNotFoundError): + create_data_url("nonexistent.jpg") + + def 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Update file.py * Switch StrInput to IntInput * ✨ (Document QA.json, Vector Store RAG.json): Update FileComponent class to include IntInput for concurrency_multithreading to control the number of workers for parallel processing. This enhancement allows for better control and optimization of processing tasks. * ⬆️ (pyproject.toml): upgrade langchain-core dependency from version 0.3.10 to version 0.3.12 to ensure compatibility and leverage new features * ⬆️ (pyproject.toml): update langchain-core dependency to allow versions greater than or equal to 0.3.12 for compatibility reasons --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: cristhianzl Co-authored-by: Gabriel Luiz Freitas Almeida --- pyproject.toml | 1 - .../base/langflow/components/data/file.py | 71 +++++++++---------- .../starter_projects/Document QA.json | 18 ++++- .../starter_projects/Vector Store RAG.json | 18 ++++- src/backend/base/pyproject.toml | 2 +- uv.lock | 19 +---- 6 files changed, 70 insertions(+), 59 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 7a95b96db8d..b585983e6ba 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -113,7 +113,6 @@ dependencies = [ "langchain-elasticsearch>=0.2.0", "opensearch-py>=2.7.1", "langchain-ollama>=0.2.0", - "pymupdf~=1.24.13", "sqlalchemy[aiosqlite,postgresql_psycopg2binary,postgresql_psycopgbinary]>=2.0.36", "atlassian-python-api>=3.41.16", ] diff --git a/src/backend/base/langflow/components/data/file.py b/src/backend/base/langflow/components/data/file.py index 67d47c8f7d3..8a5088aaea0 100644 --- a/src/backend/base/langflow/components/data/file.py +++ b/src/backend/base/langflow/components/data/file.py @@ -1,13 +1,10 @@ -from concurrent.futures import ThreadPoolExecutor, as_completed from pathlib import Path from tempfile import NamedTemporaryFile from zipfile import ZipFile, is_zipfile -import fitz - -from langflow.base.data.utils import TEXT_FILE_TYPES, parse_text_file_to_data +from langflow.base.data.utils import TEXT_FILE_TYPES, parallel_load_data, parse_text_file_to_data from langflow.custom import Component -from langflow.io import BoolInput, FileInput, Output +from langflow.io import BoolInput, FileInput, IntInput, Output from langflow.schema import Data @@ -49,6 +46,13 @@ class FileComponent(Component): advanced=True, info="If true, parallel processing will be enabled for zip files.", ), + IntInput( + name="concurrency_multithreading", + display_name="Multithreading Concurrency", + advanced=True, + info="The maximum number of workers to use, if concurrency is enabled", + value=4, + ), ] outputs = [Output(display_name="Data", name="data", method="load_file")] @@ -74,6 +78,7 @@ def load_file(self) -> Data: # Check if the file is a zip archive if is_zipfile(resolved_path): self.log(f"Processing zip file: {resolved_path.name}.") + return self._process_zip_file( resolved_path, silent_errors=self.silent_errors, @@ -81,9 +86,11 @@ def load_file(self) -> Data: ) self.log(f"Processing single file: {resolved_path.name}.") + return self._process_single_file(resolved_path, silent_errors=self.silent_errors) except FileNotFoundError: self.log(f"File not found: {resolved_path.name}.") + raise def _process_zip_file(self, zip_path: Path, *, silent_errors: bool = False, parallel: bool = False) -> Data: @@ -126,7 +133,7 @@ def _process_zip_file(self, zip_path: Path, *, silent_errors: bool = False, para raise ValueError(msg) # Define a function to process each file - def process_file(file_name): + def process_file(file_name, silent_errors=silent_errors): with NamedTemporaryFile(delete=False) as temp_file: temp_path = Path(temp_file.name).with_name(file_name) with zip_file.open(file_name) as file_content: @@ -138,19 +145,24 @@ def process_file(file_name): # Process files in parallel if specified if parallel: - self.log("Initializing parallel Thread Pool Executor.") - with ThreadPoolExecutor() as executor: - futures = {executor.submit(process_file, file): file for file in valid_files} - for future in as_completed(futures): - try: - data.append(future.result()) - except Exception as e: - self.log(f"Error processing file {futures[future]}: {e}") - if not silent_errors: - raise + self.log( + f"Initializing parallel Thread Pool Executor with max workers: " + f"{self.concurrency_multithreading}." + ) + + # Process files in parallel + initial_data = parallel_load_data( + valid_files, + silent_errors=silent_errors, + load_function=process_file, + max_concurrency=self.concurrency_multithreading, + ) + + # Filter out empty data + data = list(filter(None, initial_data)) else: # Sequential processing - data.extend([process_file(file_name) for file_name in valid_files]) + data = [process_file(file_name) for file_name in valid_files] self.log(f"Successfully processed zip file: {zip_path.name}.") @@ -169,20 +181,8 @@ def _process_single_file(self, file_path: Path, *, silent_errors: bool = False) Raises: ValueError: For unsupported file formats. """ - - # Define a function to extract text from a PDF file - def pdf_to_text(filepath): - text = "" - - # Open the PDF file - with fitz.open(filepath) as pdf: - for page in pdf: - text += page.get_text() + "\n" - - return text - # Check if the file type is supported - if not any(file_path.suffix == ext for ext in ["." + f for f in [*TEXT_FILE_TYPES, "pdf"]]): + if not any(file_path.suffix == ext for ext in ["." + f for f in TEXT_FILE_TYPES]): self.log(f"Unsupported file type: {file_path.suffix}") # Return empty data if silent_errors is True @@ -193,13 +193,10 @@ def pdf_to_text(filepath): raise ValueError(msg) try: - # Parse the file based on the file type - if file_path.suffix == ".pdf": - data = Data(data={"file_path": file_path, "text": pdf_to_text(file_path)}) - else: - data = parse_text_file_to_data(str(file_path), silent_errors=silent_errors) # type: ignore[assignment] - if not data: - data = Data() + # Parse the text file as appropriate + data = parse_text_file_to_data(str(file_path), silent_errors=silent_errors) # type: ignore[assignment] + if not data: + data = Data() self.log(f"Successfully processed file: {file_path.name}.") except Exception as e: diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Document QA.json b/src/backend/base/langflow/initial_setup/starter_projects/Document QA.json index 5191bfb8660..2ee343195fe 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Document QA.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Document QA.json @@ -1333,7 +1333,23 @@ "show": true, "title_case": false, "type": "code", - "value": "from concurrent.futures import ThreadPoolExecutor, as_completed\nfrom pathlib import Path\nfrom tempfile import NamedTemporaryFile\nfrom zipfile import ZipFile, is_zipfile\n\nimport fitz\n\nfrom langflow.base.data.utils import TEXT_FILE_TYPES, parse_text_file_to_data\nfrom langflow.custom import Component\nfrom langflow.io import BoolInput, FileInput, Output\nfrom langflow.schema import Data\n\n\nclass FileComponent(Component):\n \"\"\"Handles loading of individual or zipped text files.\n\n Processes multiple valid files within a zip archive if provided.\n\n Attributes:\n display_name: Display name of the component.\n description: Brief component description.\n icon: Icon to represent the component.\n name: Identifier for the component.\n inputs: Inputs required by the component.\n outputs: Output of the component after processing files.\n \"\"\"\n\n display_name = \"File\"\n description = \"Load a file to be used in your project.\"\n icon = \"file-text\"\n name = \"File\"\n\n inputs = [\n FileInput(\n name=\"path\",\n display_name=\"Path\",\n file_types=[*TEXT_FILE_TYPES, \"zip\"],\n info=f\"Supported file types: {', '.join([*TEXT_FILE_TYPES, 'zip'])}\",\n ),\n BoolInput(\n name=\"silent_errors\",\n display_name=\"Silent Errors\",\n advanced=True,\n info=\"If true, errors will not raise an exception.\",\n ),\n BoolInput(\n name=\"use_multithreading\",\n display_name=\"Use Multithreading\",\n advanced=True,\n info=\"If true, parallel processing will be enabled for zip files.\",\n ),\n ]\n\n outputs = [Output(display_name=\"Data\", name=\"data\", method=\"load_file\")]\n\n def load_file(self) -> Data:\n \"\"\"Load and parse file(s) from a zip archive.\n\n Raises:\n ValueError: If no file is uploaded or file path is invalid.\n\n Returns:\n Data: Parsed data from file(s).\n \"\"\"\n # Check if the file path is provided\n if not self.path:\n self.log(\"File path is missing.\")\n msg = \"Please upload a file for processing.\"\n\n raise ValueError(msg)\n\n resolved_path = Path(self.resolve_path(self.path))\n try:\n # Check if the file is a zip archive\n if is_zipfile(resolved_path):\n self.log(f\"Processing zip file: {resolved_path.name}.\")\n return self._process_zip_file(\n resolved_path,\n silent_errors=self.silent_errors,\n parallel=self.use_multithreading,\n )\n\n self.log(f\"Processing single file: {resolved_path.name}.\")\n return self._process_single_file(resolved_path, silent_errors=self.silent_errors)\n except FileNotFoundError:\n self.log(f\"File not found: {resolved_path.name}.\")\n raise\n\n def _process_zip_file(self, zip_path: Path, *, silent_errors: bool = False, parallel: bool = False) -> Data:\n \"\"\"Process text files within a zip archive.\n\n Args:\n zip_path: Path to the zip file.\n silent_errors: Suppresses errors if True.\n parallel: Enables parallel processing if True.\n\n Returns:\n list[Data]: Combined data from all valid files.\n\n Raises:\n ValueError: If no valid files found in the archive.\n \"\"\"\n data: list[Data] = []\n with ZipFile(zip_path, \"r\") as zip_file:\n # Filter file names based on extensions in TEXT_FILE_TYPES and ignore hidden files\n valid_files = [\n name\n for name in zip_file.namelist()\n if (\n any(name.endswith(ext) for ext in TEXT_FILE_TYPES)\n and not name.startswith(\"__MACOSX\")\n and not name.startswith(\".\")\n )\n ]\n\n # Raise an error if no valid files found\n if not valid_files:\n self.log(\"No valid files in the zip archive.\")\n\n # Return empty data if silent_errors is True\n if silent_errors:\n return data # type: ignore[return-value]\n\n # Raise an error if no valid files found\n msg = \"No valid files in the zip archive.\"\n raise ValueError(msg)\n\n # Define a function to process each file\n def process_file(file_name):\n with NamedTemporaryFile(delete=False) as temp_file:\n temp_path = Path(temp_file.name).with_name(file_name)\n with zip_file.open(file_name) as file_content:\n temp_path.write_bytes(file_content.read())\n try:\n return self._process_single_file(temp_path, silent_errors=silent_errors)\n finally:\n temp_path.unlink()\n\n # Process files in parallel if specified\n if parallel:\n self.log(\"Initializing parallel Thread Pool Executor.\")\n with ThreadPoolExecutor() as executor:\n futures = {executor.submit(process_file, file): file for file in valid_files}\n for future in as_completed(futures):\n try:\n data.append(future.result())\n except Exception as e:\n self.log(f\"Error processing file {futures[future]}: {e}\")\n if not silent_errors:\n raise\n else:\n # Sequential processing\n data.extend([process_file(file_name) for file_name in valid_files])\n\n self.log(f\"Successfully processed zip file: {zip_path.name}.\")\n\n return data # type: ignore[return-value]\n\n def _process_single_file(self, file_path: Path, *, silent_errors: bool = False) -> Data:\n \"\"\"Process a single file.\n\n Args:\n file_path: Path to the file.\n silent_errors: Suppresses errors if True.\n\n Returns:\n Data: Parsed data from the file.\n\n Raises:\n ValueError: For unsupported file formats.\n \"\"\"\n\n # Define a function to extract text from a PDF file\n def pdf_to_text(filepath):\n text = \"\"\n\n # Open the PDF file\n with fitz.open(filepath) as pdf:\n for page in pdf:\n text += page.get_text() + \"\\n\"\n\n return text\n\n # Check if the file type is supported\n if not any(file_path.suffix == ext for ext in [\".\" + f for f in [*TEXT_FILE_TYPES, \"pdf\"]]):\n self.log(f\"Unsupported file type: {file_path.suffix}\")\n\n # Return empty data if silent_errors is True\n if silent_errors:\n return Data()\n\n msg = f\"Unsupported file type: {file_path.suffix}\"\n raise ValueError(msg)\n\n try:\n # Parse the file based on the file type\n if file_path.suffix == \".pdf\":\n data = Data(data={\"file_path\": file_path, \"text\": pdf_to_text(file_path)})\n else:\n data = parse_text_file_to_data(str(file_path), silent_errors=silent_errors) # type: ignore[assignment]\n if not data:\n data = Data()\n\n self.log(f\"Successfully processed file: {file_path.name}.\")\n except Exception as e:\n self.log(f\"Error processing file {file_path.name}: {e}\")\n\n # Return empty data if silent_errors is True\n if not silent_errors:\n raise\n\n data = Data()\n\n return data\n" + "value": "from pathlib import Path\nfrom tempfile import NamedTemporaryFile\nfrom zipfile import ZipFile, is_zipfile\n\nfrom langflow.base.data.utils import TEXT_FILE_TYPES, parallel_load_data, parse_text_file_to_data\nfrom langflow.custom import Component\nfrom langflow.io import BoolInput, FileInput, IntInput, Output\nfrom langflow.schema import Data\n\n\nclass FileComponent(Component):\n \"\"\"Handles loading of individual or zipped text files.\n\n Processes multiple valid files within a zip archive if provided.\n\n Attributes:\n display_name: Display name of the component.\n description: Brief component description.\n icon: Icon to represent the component.\n name: Identifier for the component.\n inputs: Inputs required by the component.\n outputs: Output of the component after processing files.\n \"\"\"\n\n display_name = \"File\"\n description = \"Load a file to be used in your project.\"\n icon = \"file-text\"\n name = \"File\"\n\n inputs = [\n FileInput(\n name=\"path\",\n display_name=\"Path\",\n file_types=[*TEXT_FILE_TYPES, \"zip\"],\n info=f\"Supported file types: {', '.join([*TEXT_FILE_TYPES, 'zip'])}\",\n ),\n BoolInput(\n name=\"silent_errors\",\n display_name=\"Silent Errors\",\n advanced=True,\n info=\"If true, errors will not raise an exception.\",\n ),\n BoolInput(\n name=\"use_multithreading\",\n display_name=\"Use Multithreading\",\n advanced=True,\n info=\"If true, parallel processing will be enabled for zip files.\",\n ),\n IntInput(\n name=\"concurrency_multithreading\",\n display_name=\"Multithreading Concurrency\",\n advanced=True,\n info=\"The maximum number of workers to use, if concurrency is enabled\",\n value=4,\n ),\n ]\n\n outputs = [Output(display_name=\"Data\", name=\"data\", method=\"load_file\")]\n\n def load_file(self) -> Data:\n \"\"\"Load and parse file(s) from a zip archive.\n\n Raises:\n ValueError: If no file is uploaded or file path is invalid.\n\n Returns:\n Data: Parsed data from file(s).\n \"\"\"\n # Check if the file path is provided\n if not self.path:\n self.log(\"File path is missing.\")\n msg = \"Please upload a file for processing.\"\n\n raise ValueError(msg)\n\n resolved_path = Path(self.resolve_path(self.path))\n try:\n # Check if the file is a zip archive\n if is_zipfile(resolved_path):\n self.log(f\"Processing zip file: {resolved_path.name}.\")\n return self._process_zip_file(\n resolved_path,\n silent_errors=self.silent_errors,\n parallel=self.use_multithreading,\n )\n\n self.log(f\"Processing single file: {resolved_path.name}.\")\n return self._process_single_file(resolved_path, silent_errors=self.silent_errors)\n except FileNotFoundError:\n self.log(f\"File not found: {resolved_path.name}.\")\n raise\n\n def _process_zip_file(self, zip_path: Path, *, silent_errors: bool = False, parallel: bool = False) -> Data:\n \"\"\"Process text files within a zip archive.\n\n Args:\n zip_path: Path to the zip file.\n silent_errors: Suppresses errors if True.\n parallel: Enables parallel processing if True.\n\n Returns:\n list[Data]: Combined data from all valid files.\n\n Raises:\n ValueError: If no valid files found in the archive.\n \"\"\"\n data: list[Data] = []\n with ZipFile(zip_path, \"r\") as zip_file:\n # Filter file names based on extensions in TEXT_FILE_TYPES and ignore hidden files\n valid_files = [\n name\n for name in zip_file.namelist()\n if (\n any(name.endswith(ext) for ext in TEXT_FILE_TYPES)\n and not name.startswith(\"__MACOSX\")\n and not name.startswith(\".\")\n )\n ]\n\n # Raise an error if no valid files found\n if not valid_files:\n self.log(\"No valid files in the zip archive.\")\n\n # Return empty data if silent_errors is True\n if silent_errors:\n return data # type: ignore[return-value]\n\n # Raise an error if no valid files found\n msg = \"No valid files in the zip archive.\"\n raise ValueError(msg)\n\n # Define a function to process each file\n def process_file(file_name, silent_errors=silent_errors):\n with NamedTemporaryFile(delete=False) as temp_file:\n temp_path = Path(temp_file.name).with_name(file_name)\n with zip_file.open(file_name) as file_content:\n temp_path.write_bytes(file_content.read())\n try:\n return self._process_single_file(temp_path, silent_errors=silent_errors)\n finally:\n temp_path.unlink()\n\n # Process files in parallel if specified\n if parallel:\n self.log(\n f\"Initializing parallel Thread Pool Executor with max workers: \"\n f\"{self.concurrency_multithreading}.\"\n )\n\n # Process files in parallel\n initial_data = parallel_load_data(\n valid_files,\n silent_errors=silent_errors,\n load_function=process_file,\n max_concurrency=self.concurrency_multithreading,\n )\n\n # Filter out empty data\n data = list(filter(None, initial_data))\n else:\n # Sequential processing\n data = [process_file(file_name) for file_name in valid_files]\n\n self.log(f\"Successfully processed zip file: {zip_path.name}.\")\n\n return data # type: ignore[return-value]\n\n def _process_single_file(self, file_path: Path, *, silent_errors: bool = False) -> Data:\n \"\"\"Process a single file.\n\n Args:\n file_path: Path to the file.\n silent_errors: Suppresses errors if True.\n\n Returns:\n Data: Parsed data from the file.\n\n Raises:\n ValueError: For unsupported file formats.\n \"\"\"\n # Check if the file type is supported\n if not any(file_path.suffix == ext for ext in [\".\" + f for f in TEXT_FILE_TYPES]):\n self.log(f\"Unsupported file type: {file_path.suffix}\")\n\n # Return empty data if silent_errors is True\n if silent_errors:\n return Data()\n\n msg = f\"Unsupported file type: {file_path.suffix}\"\n raise ValueError(msg)\n\n try:\n # Parse the text file as appropriate\n data = parse_text_file_to_data(str(file_path), silent_errors=silent_errors) # type: ignore[assignment]\n if not data:\n data = Data()\n\n self.log(f\"Successfully processed file: {file_path.name}.\")\n except Exception as e:\n self.log(f\"Error processing file {file_path.name}: {e}\")\n\n # Return empty data if silent_errors is True\n if not silent_errors:\n raise\n\n data = Data()\n\n return data\n" + }, + "concurrency_multithreading": { + "_input_type": "IntInput", + "advanced": true, + "display_name": "Multithreading Concurrency", + "dynamic": false, + "info": "The maximum number of workers to use, if concurrency is enabled", + "list": false, + "name": "concurrency_multithreading", + "placeholder": "", + "required": false, + "show": true, + "title_case": false, + "trace_as_metadata": true, + "type": "int", + "value": 4 }, "path": { "advanced": false, diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json b/src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json index dc7f5428dda..349091c3ee8 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json @@ -1788,7 +1788,23 @@ "show": true, "title_case": false, "type": "code", - "value": "from concurrent.futures import ThreadPoolExecutor, as_completed\nfrom pathlib import Path\nfrom tempfile import NamedTemporaryFile\nfrom zipfile import ZipFile, is_zipfile\n\nimport fitz\n\nfrom langflow.base.data.utils import TEXT_FILE_TYPES, parse_text_file_to_data\nfrom langflow.custom import Component\nfrom langflow.io import BoolInput, FileInput, Output\nfrom langflow.schema import Data\n\n\nclass FileComponent(Component):\n \"\"\"Handles loading of individual or zipped text files.\n\n Processes multiple valid files within a zip archive if provided.\n\n Attributes:\n display_name: Display name of the component.\n description: Brief component description.\n icon: Icon to represent the component.\n name: Identifier for the component.\n inputs: Inputs required by the component.\n outputs: Output of the component after processing files.\n \"\"\"\n\n display_name = \"File\"\n description = \"Load a file to be used in your project.\"\n icon = \"file-text\"\n name = \"File\"\n\n inputs = [\n FileInput(\n name=\"path\",\n display_name=\"Path\",\n file_types=[*TEXT_FILE_TYPES, \"zip\"],\n info=f\"Supported file types: {', '.join([*TEXT_FILE_TYPES, 'zip'])}\",\n ),\n BoolInput(\n name=\"silent_errors\",\n display_name=\"Silent Errors\",\n advanced=True,\n info=\"If true, errors will not raise an exception.\",\n ),\n BoolInput(\n name=\"use_multithreading\",\n display_name=\"Use Multithreading\",\n advanced=True,\n info=\"If true, parallel processing will be enabled for zip files.\",\n ),\n ]\n\n outputs = [Output(display_name=\"Data\", name=\"data\", method=\"load_file\")]\n\n def load_file(self) -> Data:\n \"\"\"Load and parse file(s) from a zip archive.\n\n Raises:\n ValueError: If no file is uploaded or file path is invalid.\n\n Returns:\n Data: Parsed data from file(s).\n \"\"\"\n # Check if the file path is provided\n if not self.path:\n self.log(\"File path is missing.\")\n msg = \"Please upload a file for processing.\"\n\n raise ValueError(msg)\n\n resolved_path = Path(self.resolve_path(self.path))\n try:\n # Check if the file is a zip archive\n if is_zipfile(resolved_path):\n self.log(f\"Processing zip file: {resolved_path.name}.\")\n return self._process_zip_file(\n resolved_path,\n silent_errors=self.silent_errors,\n parallel=self.use_multithreading,\n )\n\n self.log(f\"Processing single file: {resolved_path.name}.\")\n return self._process_single_file(resolved_path, silent_errors=self.silent_errors)\n except FileNotFoundError:\n self.log(f\"File not found: {resolved_path.name}.\")\n raise\n\n def _process_zip_file(self, zip_path: Path, *, silent_errors: bool = False, parallel: bool = False) -> Data:\n \"\"\"Process text files within a zip archive.\n\n Args:\n zip_path: Path to the zip file.\n silent_errors: Suppresses errors if True.\n parallel: Enables parallel processing if True.\n\n Returns:\n list[Data]: Combined data from all valid files.\n\n Raises:\n ValueError: If no valid files found in the archive.\n \"\"\"\n data: list[Data] = []\n with ZipFile(zip_path, \"r\") as zip_file:\n # Filter file names based on extensions in TEXT_FILE_TYPES and ignore hidden files\n valid_files = [\n name\n for name in zip_file.namelist()\n if (\n any(name.endswith(ext) for ext in TEXT_FILE_TYPES)\n and not name.startswith(\"__MACOSX\")\n and not name.startswith(\".\")\n )\n ]\n\n # Raise an error if no valid files found\n if not valid_files:\n self.log(\"No valid files in the zip archive.\")\n\n # Return empty data if silent_errors is True\n if silent_errors:\n return data # type: ignore[return-value]\n\n # Raise an error if no valid files found\n msg = \"No valid files in the zip archive.\"\n raise ValueError(msg)\n\n # Define a function to process each file\n def process_file(file_name):\n with NamedTemporaryFile(delete=False) as temp_file:\n temp_path = Path(temp_file.name).with_name(file_name)\n with zip_file.open(file_name) as file_content:\n temp_path.write_bytes(file_content.read())\n try:\n return self._process_single_file(temp_path, silent_errors=silent_errors)\n finally:\n temp_path.unlink()\n\n # Process files in parallel if specified\n if parallel:\n self.log(\"Initializing parallel Thread Pool Executor.\")\n with ThreadPoolExecutor() as executor:\n futures = {executor.submit(process_file, file): file for file in valid_files}\n for future in as_completed(futures):\n try:\n data.append(future.result())\n except Exception as e:\n self.log(f\"Error processing file {futures[future]}: {e}\")\n if not silent_errors:\n raise\n else:\n # Sequential processing\n data.extend([process_file(file_name) for file_name in valid_files])\n\n self.log(f\"Successfully processed zip file: {zip_path.name}.\")\n\n return data # type: ignore[return-value]\n\n def _process_single_file(self, file_path: Path, *, silent_errors: bool = False) -> Data:\n \"\"\"Process a single file.\n\n Args:\n file_path: Path to the file.\n silent_errors: Suppresses errors if True.\n\n Returns:\n Data: Parsed data from the file.\n\n Raises:\n ValueError: For unsupported file formats.\n \"\"\"\n\n # Define a function to extract text from a PDF file\n def pdf_to_text(filepath):\n text = \"\"\n\n # Open the PDF file\n with fitz.open(filepath) as pdf:\n for page in pdf:\n text += page.get_text() + \"\\n\"\n\n return text\n\n # Check if the file type is supported\n if not any(file_path.suffix == ext for ext in [\".\" + f for f in [*TEXT_FILE_TYPES, \"pdf\"]]):\n self.log(f\"Unsupported file type: {file_path.suffix}\")\n\n # Return empty data if silent_errors is True\n if silent_errors:\n return Data()\n\n msg = f\"Unsupported file type: {file_path.suffix}\"\n raise ValueError(msg)\n\n try:\n # Parse the file based on the file type\n if file_path.suffix == \".pdf\":\n data = Data(data={\"file_path\": file_path, \"text\": pdf_to_text(file_path)})\n else:\n data = parse_text_file_to_data(str(file_path), silent_errors=silent_errors) # type: ignore[assignment]\n if not data:\n data = Data()\n\n self.log(f\"Successfully processed file: {file_path.name}.\")\n except Exception as e:\n self.log(f\"Error processing file {file_path.name}: {e}\")\n\n # Return empty data if silent_errors is True\n if not silent_errors:\n raise\n\n data = Data()\n\n return data\n" + "value": "from pathlib import Path\nfrom tempfile import NamedTemporaryFile\nfrom zipfile import ZipFile, is_zipfile\n\nfrom langflow.base.data.utils import TEXT_FILE_TYPES, parallel_load_data, parse_text_file_to_data\nfrom langflow.custom import Component\nfrom langflow.io import BoolInput, FileInput, IntInput, Output\nfrom langflow.schema import Data\n\n\nclass FileComponent(Component):\n \"\"\"Handles loading of individual or zipped text files.\n\n Processes multiple valid files within a zip archive if provided.\n\n Attributes:\n display_name: Display name of the component.\n description: Brief component description.\n icon: Icon to represent the component.\n name: Identifier for the component.\n inputs: Inputs required by the component.\n outputs: Output of the component after processing files.\n \"\"\"\n\n display_name = \"File\"\n description = \"Load a file to be used in your project.\"\n icon = \"file-text\"\n name = \"File\"\n\n inputs = [\n FileInput(\n name=\"path\",\n display_name=\"Path\",\n file_types=[*TEXT_FILE_TYPES, \"zip\"],\n info=f\"Supported file types: {', '.join([*TEXT_FILE_TYPES, 'zip'])}\",\n ),\n BoolInput(\n name=\"silent_errors\",\n display_name=\"Silent Errors\",\n advanced=True,\n info=\"If true, errors will not raise an exception.\",\n ),\n BoolInput(\n name=\"use_multithreading\",\n display_name=\"Use Multithreading\",\n advanced=True,\n info=\"If true, parallel processing will be enabled for zip files.\",\n ),\n IntInput(\n name=\"concurrency_multithreading\",\n display_name=\"Multithreading Concurrency\",\n advanced=True,\n info=\"The maximum number of workers to use, if concurrency is enabled\",\n value=4,\n ),\n ]\n\n outputs = [Output(display_name=\"Data\", name=\"data\", method=\"load_file\")]\n\n def load_file(self) -> Data:\n \"\"\"Load and parse file(s) from a zip archive.\n\n Raises:\n ValueError: If no file is uploaded or file path is invalid.\n\n Returns:\n Data: Parsed data from file(s).\n \"\"\"\n # Check if the file path is provided\n if not self.path:\n self.log(\"File path is missing.\")\n msg = \"Please upload a file for processing.\"\n\n raise ValueError(msg)\n\n resolved_path = Path(self.resolve_path(self.path))\n try:\n # Check if the file is a zip archive\n if is_zipfile(resolved_path):\n self.log(f\"Processing zip file: {resolved_path.name}.\")\n return self._process_zip_file(\n resolved_path,\n silent_errors=self.silent_errors,\n parallel=self.use_multithreading,\n )\n\n self.log(f\"Processing single file: {resolved_path.name}.\")\n return self._process_single_file(resolved_path, silent_errors=self.silent_errors)\n except FileNotFoundError:\n self.log(f\"File not found: {resolved_path.name}.\")\n raise\n\n def _process_zip_file(self, zip_path: Path, *, silent_errors: bool = False, parallel: bool = False) -> Data:\n \"\"\"Process text files within a zip archive.\n\n Args:\n zip_path: Path to the zip file.\n silent_errors: Suppresses errors if True.\n parallel: Enables parallel processing if True.\n\n Returns:\n list[Data]: Combined data from all valid files.\n\n Raises:\n ValueError: If no valid files found in the archive.\n \"\"\"\n data: list[Data] = []\n with ZipFile(zip_path, \"r\") as zip_file:\n # Filter file names based on extensions in TEXT_FILE_TYPES and ignore hidden files\n valid_files = [\n name\n for name in zip_file.namelist()\n if (\n any(name.endswith(ext) for ext in TEXT_FILE_TYPES)\n and not name.startswith(\"__MACOSX\")\n and not name.startswith(\".\")\n )\n ]\n\n # Raise an error if no valid files found\n if not valid_files:\n self.log(\"No valid files in the zip archive.\")\n\n # Return empty data if silent_errors is True\n if silent_errors:\n return data # type: ignore[return-value]\n\n # Raise an error if no valid files found\n msg = \"No valid files in the zip archive.\"\n raise ValueError(msg)\n\n # Define a function to process each file\n def process_file(file_name, silent_errors=silent_errors):\n with NamedTemporaryFile(delete=False) as temp_file:\n temp_path = Path(temp_file.name).with_name(file_name)\n with zip_file.open(file_name) as file_content:\n temp_path.write_bytes(file_content.read())\n try:\n return self._process_single_file(temp_path, silent_errors=silent_errors)\n finally:\n temp_path.unlink()\n\n # Process files in parallel if specified\n if parallel:\n self.log(\n f\"Initializing parallel Thread Pool Executor with max workers: \"\n f\"{self.concurrency_multithreading}.\"\n )\n\n # Process files in parallel\n initial_data = parallel_load_data(\n valid_files,\n silent_errors=silent_errors,\n load_function=process_file,\n max_concurrency=self.concurrency_multithreading,\n )\n\n # Filter out empty data\n data = list(filter(None, initial_data))\n else:\n # Sequential processing\n data = [process_file(file_name) for file_name in valid_files]\n\n self.log(f\"Successfully processed zip file: {zip_path.name}.\")\n\n return data # type: ignore[return-value]\n\n def _process_single_file(self, file_path: Path, *, silent_errors: bool = False) -> Data:\n \"\"\"Process a single file.\n\n Args:\n file_path: Path to the file.\n silent_errors: Suppresses errors if True.\n\n Returns:\n Data: Parsed data from the file.\n\n Raises:\n ValueError: For unsupported file formats.\n \"\"\"\n # Check if the file type is supported\n if not any(file_path.suffix == ext for ext in [\".\" + f for f in TEXT_FILE_TYPES]):\n self.log(f\"Unsupported file type: {file_path.suffix}\")\n\n # Return empty data if silent_errors is True\n if silent_errors:\n return Data()\n\n msg = f\"Unsupported file type: {file_path.suffix}\"\n raise ValueError(msg)\n\n try:\n # Parse the text file as appropriate\n data = parse_text_file_to_data(str(file_path), silent_errors=silent_errors) # type: ignore[assignment]\n if not data:\n data = Data()\n\n self.log(f\"Successfully processed file: {file_path.name}.\")\n except Exception as e:\n self.log(f\"Error processing file {file_path.name}: {e}\")\n\n # Return empty data if silent_errors is True\n if not silent_errors:\n raise\n\n data = Data()\n\n return data\n" + }, + "concurrency_multithreading": { + "_input_type": "IntInput", + "advanced": true, + "display_name": "Multithreading Concurrency", + "dynamic": false, + "info": "The maximum number of workers to use, if concurrency is enabled", + "list": false, + "name": "concurrency_multithreading", + "placeholder": "", + "required": false, + "show": true, + "title_case": false, + "trace_as_metadata": true, + "type": "int", + "value": 4 }, "path": { "advanced": false, diff --git a/src/backend/base/pyproject.toml b/src/backend/base/pyproject.toml index f432e123d30..b7e95c5c0e0 100644 --- a/src/backend/base/pyproject.toml +++ b/src/backend/base/pyproject.toml @@ -135,7 +135,6 @@ dependencies = [ "duckdb>=1.0.0", "python-docx>=1.1.0", "jq>=1.7.0; sys_platform != 'win32'", - "pypdf>=4.2.0", "nest-asyncio>=1.6.0", "emoji>=2.12.0", "cryptography>=42.0.5,<44.0.0", @@ -162,6 +161,7 @@ dependencies = [ "assemblyai>=0.33.0", "fastapi-pagination>=0.12.29", "defusedxml>=0.7.1", + "pypdf~=5.1.0", ] [project.urls] diff --git a/uv.lock b/uv.lock index c35ac1d3a74..b9f456271f3 100644 --- a/uv.lock +++ b/uv.lock @@ -3697,7 +3697,6 @@ dependencies = [ { name = "pyautogen" }, { name = "pydantic-settings" }, { name = "pymongo" }, - { name = "pymupdf" }, { name = "pytube" }, { name = "pywin32", marker = "sys_platform == 'win32'" }, { name = "qdrant-client" }, @@ -3847,7 +3846,6 @@ requires-dist = [ { name = "pyautogen", specifier = ">=0.2.0" }, { name = "pydantic-settings", specifier = "==2.4.0" }, { name = "pymongo", specifier = ">=4.6.0" }, - { name = "pymupdf", specifier = "~=1.24.13" }, { name = "pytube", specifier = ">=15.0.0" }, { name = "pywin32", marker = "sys_platform == 'win32'", specifier = ">=306" }, { name = "qdrant-client", specifier = "~=1.9.2" }, @@ -4088,7 +4086,7 @@ requires-dist = [ { name = "prometheus-client", specifier = ">=0.20.0" }, { name = "pydantic", specifier = ">=2.7.0" }, { name = "pydantic-settings", specifier = ">=2.2.0" }, - { name = "pypdf", specifier = ">=4.2.0" }, + { name = "pypdf", specifier = "~=5.1.0" }, { name = "pyperclip", specifier = ">=1.8.2" }, { name = "pytest", marker = "extra == 'dev'", specifier = ">=8.2.0" }, { name = "pytest-asyncio", marker = "extra == 'dev'", specifier = ">=0.23.0" }, @@ -6324,21 +6322,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/0d/2a/7c24a6144eaa06d18ed52822ea2b0f119fd9267cd1abbb75dae4d89a3803/pymongo-4.10.1-cp313-cp313-win_amd64.whl", hash = "sha256:45ee87a4e12337353242bc758accc7fb47a2f2d9ecc0382a61e64c8f01e86708", size = 976873 }, ] -[[package]] -name = "pymupdf" -version = "1.24.13" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/22/39/84efca63af4e5a014c1d4c21686469f99c3d1c160a3a0b902ac676f6ffd9/PyMuPDF-1.24.13.tar.gz", hash = "sha256:6ec3ab3c6d5cba60bfcf58daaa2d1a5b700b0366ce52be666445007351461fa4", size = 53655596 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/ce/79/8d31a98ebeb329000406d6c36fb2ad42264d5a4a6915ebabbde332642204/PyMuPDF-1.24.13-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:c11bb9198af69d490b4b346421db827d875a28fbc760d239e691d4b3ed12b5ad", size = 19147116 }, - { url = "https://files.pythonhosted.org/packages/ea/fe/ff2bb633c0934ba43c36184b8ed025092e946994dc6b4c764a0079f0ab3c/PyMuPDF-1.24.13-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:240d5c43daa9278db50d609162b48f673ab256d7e5c73eea67af517c1fc2d47c", size = 18406545 }, - { url = "https://files.pythonhosted.org/packages/5b/5f/916bb534fd498d069d68c7a52289ba78d27823c2d6f8c693889e288e31e4/PyMuPDF-1.24.13-cp39-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:e4c8808e62afbbde0f7b9c4151c4b1a5735911c2d39c34332860df600dba76f8", size = 19284324 }, - { url = "https://files.pythonhosted.org/packages/85/48/e4630eb58f4daed22a078e19db8a709d407d2e19316089675f6ed185f01a/PyMuPDF-1.24.13-cp39-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:c830610e4fde237fcf0532f1f8c1381453f48c164a5eadd0c6e5fd0bea1ca8e3", size = 19812221 }, - { url = "https://files.pythonhosted.org/packages/6d/22/5aa9e01747518878a54866b4d925abdc663c64c75f5fbc6a9706957a7a30/PyMuPDF-1.24.13-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:4520558580ac6b5a7164fda29fbc14e39d3114fd803420721500edbf47d04872", size = 20942140 }, - { url = "https://files.pythonhosted.org/packages/07/a4/2e545217436e7717642809c7392bd7d7156ba102e7a47acb22659bfd41de/PyMuPDF-1.24.13-cp39-abi3-win32.whl", hash = "sha256:ab22828d4fc205791ef1332a64893cbfc38cd9c331c5f46ae4537372ffee6fc1", size = 14943060 }, - { url = "https://files.pythonhosted.org/packages/38/80/f8d8ae555b237574005faef8a181a5c6a1d983e16a982b65ccc56a42faa2/PyMuPDF-1.24.13-cp39-abi3-win_amd64.whl", hash = "sha256:ec17914e4a560f4070212a2e84db5cc8b561d85d1ead193605a22f9561b03148", size = 16242035 }, -] - [[package]] name = "pynacl" version = "1.5.0" From 6761df611079bb7f684ae8a32dd7d3c7646f1205 Mon Sep 17 00:00:00 2001 From: Lucas Oliveira <62335616+lucaseduoli@users.noreply.github.com> Date: Fri, 8 Nov 2024 14:20:36 -0300 Subject: [PATCH 5/8] fix: update nav bar UI, changed user menu to use shadcn dropdown, fix responsivity issues (#4454) * Updated saved color * Removed selection from header / * hide text from 1200px * Updated github star style * Fixed hover state on account menu * Fix misalignment of store * Changed user menu to use dropdown menu from shadcn * Fixed notification dot * Change mobile responsivity * Fixed flow settings name * Implement opening the sidebar when hitting / * Fixed code opening when hitting space on sidebar * Fixed errors with tests --- .../components/FlowMenu/index.tsx | 20 ++- .../components/GithubStarButton/index.tsx | 10 +- .../components/HeaderMenu/index.tsx | 156 ++++++------------ .../components/ThemeButtons/index.tsx | 20 +-- .../components/appHeaderComponent/index.tsx | 20 ++- .../src/components/ui/dropdown-menu.tsx | 2 +- .../src/pages/DashboardWrapperPage/index.tsx | 2 +- .../components/flowSidebarComponent/index.tsx | 16 +- .../MainPage/components/header/index.tsx | 1 + src/frontend/src/style/applies.css | 8 +- src/frontend/src/style/index.css | 1 - src/frontend/src/utils/styleUtils.ts | 6 + src/frontend/tailwind.config.mjs | 4 + .../features/actionsMainPage-shard-1.spec.ts | 6 +- .../core/features/auto-login-off.spec.ts | 4 +- .../tests/core/features/store-shard-2.spec.ts | 2 +- .../regression/generalBugs-shard-4.spec.ts | 4 +- .../extended/features/flowSettings.spec.ts | 4 +- 18 files changed, 120 insertions(+), 166 deletions(-) diff --git a/src/frontend/src/components/appHeaderComponent/components/FlowMenu/index.tsx b/src/frontend/src/components/appHeaderComponent/components/FlowMenu/index.tsx index f4f48870006..4e0afe927de 100644 --- a/src/frontend/src/components/appHeaderComponent/components/FlowMenu/index.tsx +++ b/src/frontend/src/components/appHeaderComponent/components/FlowMenu/index.tsx @@ -98,7 +98,11 @@ export const MenuBar = ({}: {}): JSX.Element => { return
Saving...
; } // return savedText; - return
Saved
; + return ( +
+ Saved +
+ ); } const handleSave = () => { @@ -111,10 +115,10 @@ export const MenuBar = ({}: {}): JSX.Element => { useHotkeys(changes, handleSave, { preventDefault: true }); return currentFlow && onFlowPage ? ( -
-
+
+
{currentFolder?.name && ( -
+
{ @@ -126,11 +130,11 @@ export const MenuBar = ({}: {}): JSX.Element => {
)}
-
+
/
-
+
@@ -170,7 +174,7 @@ export const MenuBar = ({}: {}): JSX.Element => { className="cursor-pointer" > - Settings + Flow Settings {!autoSaving && ( @@ -279,7 +283,7 @@ export const MenuBar = ({}: {}): JSX.Element => { >
-
+
{!autoSaving && ( +export const HeaderMenuItemButton = ({ icon = "", onClick, children }) => ( + + {children} + {icon && ( + )} - + ); export const HeaderMenuItems = ({ @@ -113,28 +71,16 @@ export const HeaderMenuItems = ({ }: React.PropsWithChildren<{ position?: "left" | "right" }>) => { const positionClass = position === "left" ? "left-0" : "right-0"; return ( - - - {children} - - + + {children} + ); }; export const HeaderMenuItemsSection = ({ children }) => ( <> -
{children}
-
+ {children} + ); diff --git a/src/frontend/src/components/appHeaderComponent/components/ThemeButtons/index.tsx b/src/frontend/src/components/appHeaderComponent/components/ThemeButtons/index.tsx index f546c8bdf6e..4c67813e3c7 100644 --- a/src/frontend/src/components/appHeaderComponent/components/ThemeButtons/index.tsx +++ b/src/frontend/src/components/appHeaderComponent/components/ThemeButtons/index.tsx @@ -30,7 +30,7 @@ export const ThemeButtons = () => { }; return ( -
+
{/* Sliding Indicator - Behind the Buttons */}
{ unstyled className={`relative z-10 inline-flex items-center rounded-full px-1 ${ selectedTheme === "light" - ? "text-black dark:text-[black]" - : "hover:text-black dark:text-[white] dark:hover:bg-amber-400 dark:hover:text-[black]" + ? "text-foreground" + : "text-foreground hover:text-background dark:hover:bg-amber-400" }`} onClick={() => handleThemeChange("light")} > - + {/* Dark Theme Button */} @@ -66,12 +66,12 @@ export const ThemeButtons = () => { unstyled className={`relative z-10 mx-1 inline-flex items-center rounded-full px-1 ${ selectedTheme === "dark" - ? "text-black dark:text-[black] dark:hover:bg-purple-400 dark:hover:text-[black]" - : "hover:bg-purple-400 hover:text-[black] hover:text-[white] dark:hover:text-[black]" + ? "text-background dark:hover:bg-purple-400" + : "text-foreground hover:bg-purple-400 hover:text-background" }`} onClick={() => handleThemeChange("dark")} > - + {/* System Theme Button */} @@ -79,12 +79,12 @@ export const ThemeButtons = () => { unstyled className={`relative z-10 inline-flex items-center rounded-full px-1 ${ selectedTheme === "system" - ? "text-black dark:bg-[white] dark:text-[black]" - : "hover:bg-[black] hover:text-[white] dark:hover:bg-[white] dark:hover:text-[black]" + ? "bg-foreground text-background" + : "hover:bg-foreground hover:text-background" }`} onClick={() => handleThemeChange("system")} > - +
); diff --git a/src/frontend/src/components/appHeaderComponent/index.tsx b/src/frontend/src/components/appHeaderComponent/index.tsx index 4ac47aedc8d..fbec63355d4 100644 --- a/src/frontend/src/components/appHeaderComponent/index.tsx +++ b/src/frontend/src/components/appHeaderComponent/index.tsx @@ -47,9 +47,9 @@ export default function AppHeader(): JSX.Element { }, []); return ( -
+
{/* Left Section */} -
+
{/* Middle Section */} -
+
{/* Right Section */} -
+
{!ENABLE_DATASTAX_LANGFLOW && ( <> @@ -136,7 +138,7 @@ export default function AppHeader(): JSX.Element { > diff --git a/src/frontend/src/components/ui/dropdown-menu.tsx b/src/frontend/src/components/ui/dropdown-menu.tsx index 2c3cdcd7f51..1b76b9966f8 100644 --- a/src/frontend/src/components/ui/dropdown-menu.tsx +++ b/src/frontend/src/components/ui/dropdown-menu.tsx @@ -161,7 +161,7 @@ const DropdownMenuSeparator = React.forwardRef< >(({ className, ...props }, ref) => ( )); diff --git a/src/frontend/src/pages/DashboardWrapperPage/index.tsx b/src/frontend/src/pages/DashboardWrapperPage/index.tsx index 254f8535344..be17af06f10 100644 --- a/src/frontend/src/pages/DashboardWrapperPage/index.tsx +++ b/src/frontend/src/pages/DashboardWrapperPage/index.tsx @@ -8,7 +8,7 @@ export function DashboardWrapperPage() { return (
-
+
diff --git a/src/frontend/src/pages/FlowPage/components/flowSidebarComponent/index.tsx b/src/frontend/src/pages/FlowPage/components/flowSidebarComponent/index.tsx index 1c4b204d04b..715b8a74a87 100644 --- a/src/frontend/src/pages/FlowPage/components/flowSidebarComponent/index.tsx +++ b/src/frontend/src/pages/FlowPage/components/flowSidebarComponent/index.tsx @@ -4,7 +4,6 @@ import { useHotkeys } from "react-hotkeys-hook"; // Import useHotkeys import ForwardedIconComponent from "@/components/genericIconComponent"; import ShadTooltip from "@/components/shadTooltipComponent"; -import { Badge } from "@/components/ui/badge"; import { Button } from "@/components/ui/button"; import { Disclosure, @@ -25,9 +24,8 @@ import { SidebarMenuItem, SidebarMenuSkeleton, SidebarTrigger, + useSidebar, } from "@/components/ui/sidebar"; -import { Switch } from "@/components/ui/switch"; -import { CustomLink } from "@/customization/components/custom-link"; import { useAddComponent } from "@/hooks/useAddComponent"; import { useStoreStore } from "@/stores/storeStore"; import { checkChatInput } from "@/utils/reactflowUtils"; @@ -36,7 +34,6 @@ import { SIDEBAR_BUNDLES, SIDEBAR_CATEGORIES, } from "@/utils/styleUtils"; -import { removeCountFromString } from "@/utils/utils"; import { cloneDeep } from "lodash"; import useAlertStore from "../../../../stores/alertStore"; import useFlowStore from "../../../../stores/flowStore"; @@ -47,7 +44,6 @@ import sensitiveSort from "../extraSidebarComponent/utils/sensitive-sort"; import ShortcutDisplay from "../nodeToolbarComponent/shortcutDisplay"; import NoResultsMessage from "./components/emptySearchComponent"; import FeatureToggles from "./components/featureTogglesComponent"; -import SidebarDraggableComponent from "./components/sidebarDraggableComponent"; import SidebarMenuButtons from "./components/sidebarFooterButtons"; import SidebarItemsList from "./components/sidebarItemsList"; import { applyBetaFilter } from "./helpers/apply-beta-filter"; @@ -85,9 +81,13 @@ export function FlowSidebarComponent() { const [showBeta, setShowBeta] = useState(true); const [showLegacy, setShowLegacy] = useState(false); + const { setOpen } = useSidebar(); + useHotkeys("/", (event) => { event.preventDefault(); searchInputRef.current?.focus(); + + setOpen(true); }); useHotkeys( @@ -268,7 +268,11 @@ export function FlowSidebarComponent() { const chatInputAdded = checkChatInput(nodes); return ( - +
diff --git a/src/frontend/src/pages/MainPage/components/header/index.tsx b/src/frontend/src/pages/MainPage/components/header/index.tsx index 867bb478859..3e83444618c 100644 --- a/src/frontend/src/pages/MainPage/components/header/index.tsx +++ b/src/frontend/src/pages/MainPage/components/header/index.tsx @@ -77,6 +77,7 @@ const HeaderComponent = ({ key={type} unstyled id={`${type}-btn`} + data-testid={`${type}-btn`} onClick={() => setFlowType(type as "flows" | "components")} className={`border-b ${ flowType === type diff --git a/src/frontend/src/style/applies.css b/src/frontend/src/style/applies.css index d1fd4740296..862b18b56cf 100644 --- a/src/frontend/src/style/applies.css +++ b/src/frontend/src/style/applies.css @@ -606,18 +606,12 @@ .header-github-link:hover { @apply hover:bg-accent hover:text-accent-foreground; } - .header-github-display { - @apply -mr-px ml-1 flex h-8 items-center justify-center rounded-md rounded-l-none border bg-[white] px-2 text-sm dark:bg-[black]; - } .header-notifications-box { @apply fixed left-0 top-0 h-screen w-screen; } .header-notifications { @apply absolute right-[3px] h-1.5 w-1.5 rounded-full bg-destructive; } - .header-notifications-dot { - @apply absolute left-[33px] top-[9px] block h-1.5 w-1.5 rounded-full bg-destructive dark:bg-red-500; - } .input-component-div { @apply pointer-events-none relative cursor-not-allowed; } @@ -1272,7 +1266,7 @@ } .toolbar-wrapper { - @apply flex items-center gap-1 rounded-xl border border-border bg-background p-1 shadow-sm h-10; + @apply flex h-10 items-center gap-1 rounded-xl border border-border bg-background p-1 shadow-sm; } } diff --git a/src/frontend/src/style/index.css b/src/frontend/src/style/index.css index 48d3f4908d3..8e8200fffbc 100644 --- a/src/frontend/src/style/index.css +++ b/src/frontend/src/style/index.css @@ -282,6 +282,5 @@ --accent-indigo: 229.7 93.5% 81.8%; --accent-indigo-foreground: 243.4 75.4% 58.6%; --node-ring: 240 6% 90%; - } } diff --git a/src/frontend/src/utils/styleUtils.ts b/src/frontend/src/utils/styleUtils.ts index 45d6ba322d3..add40f5a4f3 100644 --- a/src/frontend/src/utils/styleUtils.ts +++ b/src/frontend/src/utils/styleUtils.ts @@ -115,6 +115,8 @@ import { MessagesSquare, Minimize2, Minus, + Monitor, + Moon, MoonIcon, MoreHorizontal, Network, @@ -166,6 +168,7 @@ import { SquarePlay, StickyNote, Store, + Sun, SunIcon, Table, TerminalIcon, @@ -797,6 +800,9 @@ export const nodeIconsLucide: iconsType = { FolderPlusIcon, PaperclipIcon, Settings, + Monitor, + Moon, + Sun, PanelLeftClose, PanelLeftOpen, ArrowUpRight, diff --git a/src/frontend/tailwind.config.mjs b/src/frontend/tailwind.config.mjs index 89c4b4d37f5..0748bfd6e9b 100644 --- a/src/frontend/tailwind.config.mjs +++ b/src/frontend/tailwind.config.mjs @@ -36,6 +36,10 @@ const config = { }, }, extend: { + screens: { + xl: "1200px", + "2xl": "1400px", + }, keyframes: { wiggle: { "0%, 100%": { transform: "scale(100%)" }, diff --git a/src/frontend/tests/core/features/actionsMainPage-shard-1.spec.ts b/src/frontend/tests/core/features/actionsMainPage-shard-1.spec.ts index bcdb7962282..4b17c6f4a33 100644 --- a/src/frontend/tests/core/features/actionsMainPage-shard-1.spec.ts +++ b/src/frontend/tests/core/features/actionsMainPage-shard-1.spec.ts @@ -182,11 +182,7 @@ test("search components", async ({ page }) => { await page.getByText("Exit", { exact: true }).click(); } - await page - .getByText("Components", { - exact: true, - }) - .click(); + await page.getByTestId("components-btn").click(); await page.getByPlaceholder("Search components").fill("Chat Input"); await page.getByText("Chat Input", { exact: true }).isVisible(); diff --git a/src/frontend/tests/core/features/auto-login-off.spec.ts b/src/frontend/tests/core/features/auto-login-off.spec.ts index 13434ba890a..da395b9b8d9 100644 --- a/src/frontend/tests/core/features/auto-login-off.spec.ts +++ b/src/frontend/tests/core/features/auto-login-off.spec.ts @@ -136,7 +136,7 @@ test("when auto_login is false, admin can CRUD user's and should see just your o await page.getByTestId("zoom_out").click(); await page.getByTestId("flow-configuration-button").click(); - await page.getByText("Settings", { exact: true }).last().click(); + await page.getByText("Flow Settings", { exact: true }).last().click(); await page.getByPlaceholder("Flow Name").fill(randomFlowName); @@ -210,7 +210,7 @@ test("when auto_login is false, admin can CRUD user's and should see just your o await page.getByTestId("zoom_out").click(); await page.getByTestId("flow-configuration-button").click(); - await page.getByText("Settings", { exact: true }).last().click(); + await page.getByText("Flow Settings", { exact: true }).last().click(); await page.getByPlaceholder("Flow Name").fill(secondRandomFlowName); diff --git a/src/frontend/tests/core/features/store-shard-2.spec.ts b/src/frontend/tests/core/features/store-shard-2.spec.ts index 92dff6a0b96..e2da1f0bcc2 100644 --- a/src/frontend/tests/core/features/store-shard-2.spec.ts +++ b/src/frontend/tests/core/features/store-shard-2.spec.ts @@ -119,7 +119,7 @@ test("should share component with share button", async ({ page }) => { await page.waitForTimeout(1000); const flowName = await page.getByTestId("flow_name").innerText(); await page.getByTestId("flow_name").click(); - await page.getByText("Settings").click(); + await page.getByText("Flow Settings").click(); const flowDescription = await page .getByPlaceholder("Flow description") .inputValue(); diff --git a/src/frontend/tests/core/regression/generalBugs-shard-4.spec.ts b/src/frontend/tests/core/regression/generalBugs-shard-4.spec.ts index 1b01d9916b9..5e545e33760 100644 --- a/src/frontend/tests/core/regression/generalBugs-shard-4.spec.ts +++ b/src/frontend/tests/core/regression/generalBugs-shard-4.spec.ts @@ -42,7 +42,7 @@ test("should be able to move flow from folder, rename it and be displayed on cor await page.getByTestId("fit_view").click(); await page.getByTestId("flow-configuration-button").click(); - await page.getByText("Settings").click(); + await page.getByText("Flow Settings").click(); await page.getByPlaceholder("Flow name").fill(randomName); await page.getByText("Save").last().click(); await page.getByTestId("icon-ChevronLeft").last().click(); @@ -89,7 +89,7 @@ test("should be able to move flow from folder, rename it and be displayed on cor await page.getByTestId(`card-${randomName}`).first().click(); await page.getByTestId("flow-configuration-button").click(); - await page.getByText("Settings").click(); + await page.getByText("Flow Settings").click(); await page.getByPlaceholder("Flow name").fill(secondRandomName); await page.getByText("Save").last().click(); await page.getByTestId("icon-ChevronLeft").last().click(); diff --git a/src/frontend/tests/extended/features/flowSettings.spec.ts b/src/frontend/tests/extended/features/flowSettings.spec.ts index 6b1fc25ab46..da97a03ef87 100644 --- a/src/frontend/tests/extended/features/flowSettings.spec.ts +++ b/src/frontend/tests/extended/features/flowSettings.spec.ts @@ -32,7 +32,7 @@ test("flowSettings", async ({ page }) => { await page.waitForTimeout(1000); await page.getByTestId("flow_name").click(); - await page.getByText("Settings").first().click(); + await page.getByText("Flow Settings").first().click(); await page .getByPlaceholder("Flow name") .fill( @@ -56,7 +56,7 @@ test("flowSettings", async ({ page }) => { await page.getByText("Changes saved successfully").isVisible(); await page.getByTestId("flow_name").click(); - await page.getByText("Settings").first().click(); + await page.getByText("Flow Settings").first().click(); const flowName = await page.getByPlaceholder("Flow name").inputValue(); const flowDescription = await page From a09652ca5f6c2fc808e763b1698c025155782498 Mon Sep 17 00:00:00 2001 From: Lucas Oliveira <62335616+lucaseduoli@users.noreply.github.com> Date: Fri, 8 Nov 2024 14:33:52 -0300 Subject: [PATCH 6/8] fix: refactor loading of main page, use new Sidebar in main page, fix small UI bugs (#4451) * Tighten space between main page sidebar buttons * Fixed skeleton size * Added playground button back * Updated no components and flows state * Update default icon to Workflow * Fixed size of list cards * Removed browse store * Removed playground button * Removed black background from empty folder state * Update empty state color * Fix color of empty state * fix text not selectable * updated border color * added shadow only on hover * Remove JSON from Download JSON * Fixed colors and weight of tabs on home page * Fixed padding on list and grid components * Update icons that take long to load * Fixed icon and bg color for home tiles * Removed unused code * removed placeholder data for skeleton to not appear on first load * Make onSuccess refetch the queries so that the loading waits for it * Removed unused divs on foldersidebarnav * Refactor sidebar buttons to use new shadcn sidebar * Created skeletons for folder, grid and list * Added new sidebar size * Use new sidebar button on header and implemented animation * Changed icon to getIcon * Added sidebar provider and fixed loading states of the main page * Removed folder buttons on emptyPage * Fixed foldername to appear immediatly, and fixed loading states for the folders * Removed unused state from folders store * Removed unused states from folders store type * Added new icon * fixed modals component to not show a trash icon * Changed icons to load immediatly * Added empty folder condition to not display header info * Added conditions to show loading state until everything loads * Created empty folder state * Changed empty page to correct colors * Added skeletons while flows of the folder are loading * Removed shadow from text * Fixed font chivo taking long time to load * Fix adding new folder not redirecting * [autofix.ci] apply automated fixes * Fixed colors and paddings on list and grid components * Re added tooltips to upload and create folders * fix input for name editing * Fix tests --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> --- src/frontend/index.html | 6 +- .../components/sideBarFolderButtons/index.tsx | 394 +++++++++--------- .../sidebarFolderSkeleton/index.tsx | 3 +- .../folderSidebarComponent/index.tsx | 18 +- src/frontend/src/components/ui/sidebar.tsx | 1 + .../API/queries/flows/use-post-add-flow.ts | 2 + .../API/queries/folders/use-get-folder.ts | 1 - .../API/queries/folders/use-post-folders.ts | 4 +- .../TemplateCardComponent/index.tsx | 17 +- .../MainPage/components/dropdown/index.tsx | 10 +- .../pages/MainPage/components/grid/index.tsx | 44 +- .../components/gridSkeleton/index.tsx | 34 ++ .../MainPage/components/header/index.tsx | 179 ++++---- .../pages/MainPage/components/list/index.tsx | 90 ++-- .../components/listSkeleton/index.tsx | 33 ++ .../components/modalsComponent/index.tsx | 41 ++ .../oldComponents/modalsComponent/index.tsx | 11 +- .../MainPage/pages/emptyFolder/index.tsx | 45 ++ .../pages/MainPage/pages/emptyPage/index.tsx | 137 ++---- .../pages/MainPage/pages/homePage/index.tsx | 78 ++-- .../src/pages/MainPage/pages/index.tsx | 103 ++--- .../MainPage/utils/get-template-style.ts | 29 +- src/frontend/src/stores/foldersStore.tsx | 3 - src/frontend/src/style/applies.css | 4 +- src/frontend/src/style/index.css | 1 + .../src/types/zustand/folders/index.ts | 2 - src/frontend/src/utils/reactflowUtils.ts | 1 + src/frontend/src/utils/styleUtils.ts | 6 + src/frontend/tailwind.config.mjs | 1 + .../tests/core/features/folders.spec.ts | 24 +- 30 files changed, 694 insertions(+), 628 deletions(-) create mode 100644 src/frontend/src/pages/MainPage/components/gridSkeleton/index.tsx create mode 100644 src/frontend/src/pages/MainPage/components/listSkeleton/index.tsx create mode 100644 src/frontend/src/pages/MainPage/components/modalsComponent/index.tsx create mode 100644 src/frontend/src/pages/MainPage/pages/emptyFolder/index.tsx diff --git a/src/frontend/index.html b/src/frontend/index.html index ff9e784304c..eb32a45fd78 100644 --- a/src/frontend/index.html +++ b/src/frontend/index.html @@ -9,11 +9,7 @@ -