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Finance API" optional = false python-versions = "*" files = [ - {file = "yfinance-0.2.40-py2.py3-none-any.whl", hash = "sha256:328176b5690de7aa192456a15b351c20ddde31b35d479f8179f5325bd340fc0b"}, - {file = "yfinance-0.2.40.tar.gz", hash = "sha256:b053ac31229b5dc7f49a17a057f66aa7f688de2f5ddeb95c2455ec13cd89511a"}, + {file = "yfinance-0.2.41-py2.py3-none-any.whl", hash = "sha256:2ed7b453cb8568773eb2dbb4d87cc37ff02e5d133f7723ec3e219ab0b86b56d8"}, + {file = "yfinance-0.2.41.tar.gz", hash = "sha256:f94409a1ed4d596b9da8d2dbb498faaabfcf593d5870e1412e17669a212bb345"}, ] [package.dependencies] diff --git a/pyproject.toml b/pyproject.toml index c11fa53567e..91924913229 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -27,7 +27,7 @@ langflow = "langflow.__main__:main" [tool.poetry.dependencies] python = ">=3.10,<3.13" -langflow-base = { path = "./src/backend/base", develop = true } +langflow-base ={ path = "./src/backend/base", develop = true } beautifulsoup4 = "^4.12.2" google-search-results = "^2.4.1" google-api-python-client = "^2.130.0" diff --git a/src/backend/base/langflow/graph/graph/base.py b/src/backend/base/langflow/graph/graph/base.py index 76516c14b99..26d95f80598 100644 --- a/src/backend/base/langflow/graph/graph/base.py +++ b/src/backend/base/langflow/graph/graph/base.py @@ -1014,7 +1014,7 @@ async def get_next_runnable_vertices(self, lock: asyncio.Lock, vertex: "Vertex", else: self.run_manager.add_to_vertices_being_run(next_v_id) if cache and self.flow_id: - set_cache_coro = partial(get_chat_service().set_cache, key=self.flow_id) + set_cache_coro = partial(get_chat_service().set_cache, self.flow_id) await set_cache_coro(self, lock) return next_runnable_vertices diff --git a/src/backend/base/langflow/schema/message.py b/src/backend/base/langflow/schema/message.py index 8d185630b08..f62d4a9abe8 100644 --- a/src/backend/base/langflow/schema/message.py +++ b/src/backend/base/langflow/schema/message.py @@ -1,3 +1,4 @@ +import asyncio from datetime import datetime, timezone from typing import Annotated, Any, AsyncIterator, Iterator, List, Optional from uuid import UUID @@ -15,10 +16,10 @@ from langflow.schema.data import Data from langflow.schema.image import Image, get_file_paths, is_image_file from langflow.utils.constants import ( - MESSAGE_SENDER_USER, - MESSAGE_SENDER_NAME_USER, - MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_AI, + MESSAGE_SENDER_NAME_AI, + MESSAGE_SENDER_NAME_USER, + MESSAGE_SENDER_USER, ) @@ -171,20 +172,23 @@ async def get_file_content_dicts(self): def load_lc_prompt(self): if "prompt" not in self: raise ValueError("Prompt is required.") - loaded_prompt = load(self.prompt) - # Rebuild HumanMessages if they are instance of BaseMessage - if isinstance(loaded_prompt, ChatPromptTemplate): - messages = [] - for message in loaded_prompt.messages: - if isinstance(message, HumanMessage): + # self.prompt was passed through jsonable_encoder + # so inner messages are not BaseMessage + # we need to convert them to BaseMessage + messages = [] + for message in self.prompt.get("kwargs", {}).get("messages", []): + match message: + case HumanMessage(): messages.append(message) - elif message.type == "human": - messages.append(HumanMessage(content=message.content)) - elif message.type == "system": - messages.append(SystemMessage(content=message.content)) - elif message.type == "ai": - messages.append(AIMessage(content=message.content)) - loaded_prompt.messages = messages + case _ if message.get("type") == "human": + messages.append(HumanMessage(content=message.get("content"))) + case _ if message.get("type") == "system": + messages.append(SystemMessage(content=message.get("content"))) + case _ if message.get("type") == "ai": + messages.append(AIMessage(content=message.get("content"))) + + self.prompt["kwargs"]["messages"] = messages + loaded_prompt = load(self.prompt) return loaded_prompt @classmethod @@ -216,7 +220,17 @@ async def from_template_and_variables(cls, template: str, **variables): if contents: message = HumanMessage(content=[{"type": "text", "text": text}] + contents) - prompt_template = ChatPromptTemplate.from_messages([message]) # type: ignore + prompt_template = ChatPromptTemplate(messages=[message]) # type: ignore instance.prompt = jsonable_encoder(prompt_template.to_json()) instance.messages = instance.prompt.get("kwargs", {}).get("messages", []) return instance + + @classmethod + def sync_from_template_and_variables(cls, template: str, **variables): + # Run the async version in a sync way + try: + loop = asyncio.get_running_loop() + except RuntimeError: + return asyncio.run(cls.from_template_and_variables(template, **variables)) + else: + return loop.run_until_complete(cls.from_template_and_variables(template, **variables)) diff --git a/src/backend/base/poetry.lock b/src/backend/base/poetry.lock index e026af3910d..68e77b60054 100644 --- a/src/backend/base/poetry.lock +++ b/src/backend/base/poetry.lock @@ -1314,13 +1314,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0" [[package]] name = "langchain-core" -version = "0.2.23" +version = "0.2.24" description = "Building applications with LLMs through composability" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain_core-0.2.23-py3-none-any.whl", hash = "sha256:ef0b4184b37e356a27182514aedcc8c41ffacbd6348a801bc775c1ce1f608637"}, - {file = "langchain_core-0.2.23.tar.gz", hash = "sha256:ac8165f283d8f5214576ffc38387106ef0de7eb8d2c52576d06e8dd3285294b0"}, + {file = "langchain_core-0.2.24-py3-none-any.whl", hash = "sha256:9444fc082d21ef075d925590a684a73fe1f9688a3d90087580ec929751be55e7"}, + {file = "langchain_core-0.2.24.tar.gz", hash = "sha256:f2e3fa200b124e8c45d270da9bf836bed9c09532612c96ff3225e59b9a232f5a"}, ] [package.dependencies] @@ -3597,4 +3597,4 @@ local = [] [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.13" -content-hash = "ec75a891f635b67266af56a85c699abe72a73dad69a05a9d5750d8dce56b4bf8" +content-hash = "824e91c3465ec9eb51bcd5f26297c45232f1fce0298fe2b5673fd5cbb2503734" diff --git a/src/backend/base/pyproject.toml b/src/backend/base/pyproject.toml index f41689ebf83..d3869868aa0 100644 --- a/src/backend/base/pyproject.toml +++ b/src/backend/base/pyproject.toml @@ -32,7 +32,7 @@ httpx = "*" uvicorn = "^0.30.0" gunicorn = "^22.0.0" langchain = "~0.2.0" -langchain-core = "0.2.23" +langchain-core = "^0.2.24" langchainhub = "~0.1.15" sqlmodel = "^0.0.18" loguru = "^0.7.1" diff --git a/src/backend/tests/unit/schema/test_schema_message.py b/src/backend/tests/unit/schema/test_schema_message.py new file mode 100644 index 00000000000..846ca4d61b9 --- /dev/null +++ b/src/backend/tests/unit/schema/test_schema_message.py @@ -0,0 +1,30 @@ +import pytest +from langchain_core.prompts.chat import ChatPromptTemplate + +from langflow.schema.message import Message + + +@pytest.fixture +def client(): + pass + + +@pytest.mark.asyncio +async def test_message_async_prompt_serialization(): + template = "Hello, {name}!" + message = await Message.from_template_and_variables(template, name="Langflow") + assert message.text == "Hello, Langflow!" + + prompt = message.load_lc_prompt() + assert isinstance(prompt, ChatPromptTemplate) + assert prompt.messages[0].content == "Hello, Langflow!" + + +def test_message_prompt_serialization(): + template = "Hello, {name}!" + message = Message.sync_from_template_and_variables(template, name="Langflow") + assert message.text == "Hello, Langflow!" + + prompt = message.load_lc_prompt() + assert isinstance(prompt, ChatPromptTemplate) + assert prompt.messages[0].content == "Hello, Langflow!"