diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index f76865c9..8a5fdc30 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -53,4 +53,5 @@ jobs: - name: Run integration tests env: OPENAI_API_KEY: fake_key_1337 + TIKTOKEN_CACHE_DIR: tests/itest_cache/tiktoken_cache run: poetry run python tests/run_integration_tests.py diff --git a/examples/blog_post/blog_post.py b/examples/blog_post/blog_post.py index bdfc6efb..5bb31ac2 100644 --- a/examples/blog_post/blog_post.py +++ b/examples/blog_post/blog_post.py @@ -8,7 +8,7 @@ from motleycrew.agent.langchain.react import ReactMotleyAgent from motleycrew.tool.llm_tool import LLMTool -from motleycrew import MotleyCrew, Task +from motleycrew import MotleyCrew, TaskRecipe from .blog_post_input import text @@ -48,9 +48,7 @@ illustrator_prompt = ChatPromptTemplate.from_messages( [ - SystemMessage( - content="You are a professional illustrator with 10 years of experience." - ), + SystemMessage(content="You are a professional illustrator with 10 years of experience."), HumanMessage( content="You are given the following draft story, delimited by triple back quotes: ```{second_draft}```" ), @@ -113,7 +111,7 @@ # Create tasks for your agents crew = MotleyCrew() -task1 = Task( +task1 = TaskRecipe( crew=crew, name="Write a blog post from the provided information", description=f"""Write a blog post of at most {max_words} words and at least {min_words} diff --git a/examples/delegation_crewai.py b/examples/delegation_crewai.py index 38eb71cf..7949289b 100644 --- a/examples/delegation_crewai.py +++ b/examples/delegation_crewai.py @@ -1,7 +1,7 @@ from dotenv import load_dotenv from langchain_community.tools import DuckDuckGoSearchRun -from motleycrew import MotleyCrew, Task +from motleycrew import MotleyCrew from motleycrew.agent.crewai import CrewAIMotleyAgent from motleycrew.common.utils import configure_logging @@ -31,18 +31,16 @@ def main(): # Create tasks for your agents crew = MotleyCrew() - task1 = Task( - crew=crew, + + analysis_report_task = crew.create_simple_task( name="produce comprehensive analysis report on AI advancements", description="""Conduct a comprehensive analysis of the latest advancements in AI in 2024. Identify key trends, breakthrough technologies, and potential industry impacts. Your final answer MUST be a full analysis report""", agent=researcher, - documents=["paper1.pdf", "paper2.pdf"], # will be ignored for now ) - task2 = Task( - crew=crew, + literature_summary_task = crew.create_simple_task( name="provide a literature summary of recent papers on AI", description="""Conduct a comprehensive literature review of the latest advancements in AI in 2024. Identify key papers, researchers, and companies in the space. @@ -50,8 +48,7 @@ def main(): agent=researcher, ) - task3 = Task( - crew=crew, + blog_post_task = crew.create_simple_task( name="produce blog post on AI advancements", description="""Using the insights provided by a thorough web search, develop an engaging blog post that highlights the most significant AI advancements. @@ -61,19 +58,16 @@ def main(): agent=writer, ) - [task1, task2] >> task3 + [analysis_report_task, literature_summary_task] >> blog_post_task # Get your crew to work! result = crew.run( - agents=[researcher, writer], verbose=2, # You can set it to 1 or 2 to different logging levels ) # Get the outputs of the task - for output in task3.outputs: - print(output) - - return task3.outputs + print(blog_post_task.output) + return blog_post_task.output if __name__ == "__main__": diff --git a/examples/dummy.py b/examples/dummy.py new file mode 100644 index 00000000..2680b04e --- /dev/null +++ b/examples/dummy.py @@ -0,0 +1,21 @@ + + + +@dataclass +ToolDescription: + name: str + description: str + framework: str + toolkit: Optional[str] = None + +motley.tool.get_descriptions(framework: Optional[str] = None) -> ToolDescription +motleycrew.tool.from_description(d: ToolDescription) -> MotleyTool +motleycrew.tool.init_embeddings(embed_model) -> ToolSearcher +class ToolSearcher: + def match(self, task: str) -> List[MotleyTool]: + pass + + def register_tools(self, ...): + @classmethod + def default(cls) -> ToolSearcher: + pass \ No newline at end of file diff --git a/examples/image_generation_crewai.py b/examples/image_generation_crewai.py index b584fdc9..2ef7ecbd 100644 --- a/examples/image_generation_crewai.py +++ b/examples/image_generation_crewai.py @@ -1,56 +1,62 @@ from dotenv import load_dotenv -from motleycrew import MotleyCrew, Task +from motleycrew import MotleyCrew, TaskRecipe from motleycrew.agent.crewai import CrewAIMotleyAgent from motleycrew.tool.image_generation import DallEImageGeneratorTool from motleycrew.common.utils import configure_logging -load_dotenv() -configure_logging(verbose=True) - -image_generator_tool = DallEImageGeneratorTool() -# For saving images locally use the line below -# image_generator_tool = DallEImageGeneratorTool(images_directory="images") - -writer = CrewAIMotleyAgent( - role="Short stories writer", - goal="Write short stories for children", - backstory="You are an accomplished children's writer, known for your funny and interesting short stories.\n" - "Many parents around the world read your books to their children.", - verbose=True, - delegation=True, -) - -illustrator = CrewAIMotleyAgent( - role="Illustrator", - goal="Create beautiful and insightful illustrations", - backstory="You are an expert in creating illustrations for all sorts of concepts and articles. " - "You do it by skillfully prompting a text-to-image model.\n" - "Your final answer MUST be the exact URL or filename of the illustration.", - verbose=True, - delegation=False, - tools=[image_generator_tool], -) - -# Create tasks for your agents -crew = MotleyCrew() -write_task = Task( - crew=crew, - name="write a short story about a cat", - description="Creatively write a short story of about 4 paragraphs " - "about a house cat that was smarter than its owners. \n" - "Write it in a cool and simple language, " - "making it intriguing yet suitable for children's comprehension.\n" - "You must include a fun illustration.\n" - "Your final answer MUST be the full story with the illustration URL or filename attached.", - agent=writer, -) - - -# Get your crew to work! -result = crew.run( - agents=[illustrator, writer], - verbose=2, # You can set it to 1 or 2 to different logging levels -) - -print(write_task.outputs) + +def main(): + """Main function of running the example.""" + image_generator_tool = DallEImageGeneratorTool() + # For saving images locally use the line below + # image_generator_tool = DallEImageGeneratorTool(images_directory="images") + + illustrator = CrewAIMotleyAgent( + role="Illustrator", + goal="Create beautiful and insightful illustrations", + backstory="You are an expert in creating illustrations for all sorts of concepts and articles. " + "You do it by skillfully prompting a text-to-image model.\n" + "Your final answer MUST be the exact URL or filename of the illustration.", + verbose=True, + delegation=False, + tools=[image_generator_tool], + ) + + writer = CrewAIMotleyAgent( + role="Short stories writer", + goal="Write short stories for children", + backstory="You are an accomplished children's writer, known for your funny and interesting short stories.\n" + "Many parents around the world read your books to their children.", + verbose=True, + delegation=True, + tools=[illustrator], + ) + + # Create tasks for your agents + crew = MotleyCrew() + write_task = crew.create_simple_task( + name="write a short story about a cat", + description="Creatively write a short story of about 4 paragraphs " + "about a house cat that was smarter than its owners. \n" + "Write it in a cool and simple language, " + "making it intriguing yet suitable for children's comprehension.\n" + "You must include a fun illustration.\n" + "Your final answer MUST be the full story with the illustration URL or filename attached.", + agent=writer, + ) + + # Get your crew to work! + crew.run( + verbose=2, # You can set it to 1 or 2 to different logging levels + ) + + print(write_task.output) + return write_task.output + + +if __name__ == "__main__": + configure_logging(verbose=True) + + load_dotenv() + main() diff --git a/examples/math_crewai.py b/examples/math_crewai.py index 8eb073e3..37018d71 100644 --- a/examples/math_crewai.py +++ b/examples/math_crewai.py @@ -1,53 +1,60 @@ from dotenv import load_dotenv -from motleycrew import MotleyCrew, Task +from motleycrew import MotleyCrew, TaskRecipe from motleycrew.agent.crewai import CrewAIMotleyAgent from motleycrew.tool.python_repl import create_repl_tool - -load_dotenv() - -repl_tool = create_repl_tool() - -# Define your agents with roles and goals -solver1 = CrewAIMotleyAgent( - role="High School Math Teacher", - goal="Generate great solutions to math problems", - backstory="""You are a high school math teacher with a passion for problem-solving. -To solve a math problem, you first reason about it, step by step, then generate the code to solve it exactly, -using sympy, then use the REPL tool to evaluate that code, and then -use the output to generate a human-readable solution.""", - verbose=True, - delegation=False, - tools=[repl_tool], -) - -solver = solver1 - -problems = [ - "Problem: If $725x + 727y = 1500$ and $729x+ 731y = 1508$, what are the values of $x$, $y$, and $x - y$ ?", - "Drei Personen erhalten zusammen Fr. 2450. Die erste Person erh\u00e4lt Fr. 70 mehr als die zweite, aber Fr. 60 weniger als die dritte.\nWie viel erh\u00e4lt jede Person? ", - "Find all numbers $a$ for which the graph of $y=x^2+a$ and the graph of $y=ax$ intersect. Express your answer in interval notation.", -] - -# Create tasks for your agents -crew = MotleyCrew() -task1 = Task( - crew=crew, - name="solve math problem", - description=f"""Create a nice human-readable solution to the following problem: - {problems[1]} - IN THE SAME LANGUAGE AS THE PROBLEM""", - agent=solver, -) - - -# Instantiate your crew with a sequential process -result = crew.run( - agents=[solver], - verbose=True, # You can set it to 1 or 2 to different logging levels -) - -# Get your crew to work! -print(list(result._done)[0].outputs) - -print("######################") +from motleycrew.common.utils import configure_logging + + +def main(): + """Main function of running the example.""" + repl_tool = create_repl_tool() + + # Define your agents with roles and goals + solver1 = CrewAIMotleyAgent( + role="High School Math Teacher", + goal="Generate great solutions to math problems", + backstory="""You are a high school math teacher with a passion for problem-solving. + To solve a math problem, you first reason about it, step by step, then generate the code to solve it exactly, + using sympy, then use the REPL tool to evaluate that code, and then + use the output to generate a human-readable solution.""", + verbose=True, + delegation=False, + tools=[repl_tool], + ) + + solver = solver1 + + problems = [ + "Problem: If $725x + 727y = 1500$ and $729x+ 731y = 1508$, " + "what are the values of $x$, $y$, and $x - y$ ?", + "Drei Personen erhalten zusammen Fr. 2450. Die erste Person erh\u00e4lt Fr. 70 mehr als " + "die zweite, aber Fr. 60 weniger als die dritte.\nWie viel erh\u00e4lt jede Person? ", + "Find all numbers $a$ for which the graph of $y=x^2+a$ and the graph of $y=ax$ intersect. " + "Express your answer in interval notation.", + ] + + # Create tasks for your agents + crew = MotleyCrew() + task = crew.create_simple_task( + name="solve math problem", + description=f"""Create a nice human-readable solution to the following problem: + {problems[1]} + IN THE SAME LANGUAGE AS THE PROBLEM""", + agent=solver, + ) + + # Get your crew to work! + crew.run( + verbose=2, # You can set it to 1 or 2 to different logging levels + ) + + print(task.output) + return task.output + + +if __name__ == "__main__": + configure_logging(verbose=True) + + load_dotenv() + main() diff --git a/examples/research_agent/answer_orchestrator.py b/examples/research_agent/answer_orchestrator.py deleted file mode 100644 index 0d37116c..00000000 --- a/examples/research_agent/answer_orchestrator.py +++ /dev/null @@ -1,68 +0,0 @@ -import logging -import kuzu - -from motleycrew.storage import MotleyGraphStore - -from question_struct import Question -from question_answerer import AnswerSubQuestionTool - - -class AnswerOrchestrator: - def __init__(self, storage: MotleyGraphStore, answer_length: int): - self.storage = storage - self.question_answering_tool = AnswerSubQuestionTool(graph=self.storage, answer_length=answer_length) - - def get_unanswered_available_questions(self) -> list[Question]: - query = ( - "MATCH (n1:{}) " - "WHERE n1.answer IS NULL AND n1.context IS NOT NULL " - "AND NOT EXISTS {{MATCH (n1)-[]->(n2:{}) " - "WHERE n2.answer IS NULL AND n2.context IS NOT NULL}} " - "RETURN n1" - ).format(self.storage.node_table_name, self.storage.node_table_name) - - query_result = self.storage.run_cypher_query(query) - return [Question.deserialize(row[0]) for row in query_result] - - def __call__(self) -> Question | None: - last_question = None - - while True: - questions = self.get_unanswered_available_questions() - logging.info("Available questions: %s", questions) - - if not len(questions): - logging.info("All questions answered!") - break - else: - last_question = questions[0] - logging.info("Running answerer for question %s", last_question) - self.question_answering_tool.invoke({"question": last_question}) - - if not last_question: - logging.warning("Nothing to answer!") - return - - return Question.deserialize(self.storage.get_entity(last_question.id)) - - -if __name__ == "__main__": - from pathlib import Path - from dotenv import load_dotenv - from motleycrew.storage import MotleyKuzuGraphStore - from motleycrew.common.utils import configure_logging - - load_dotenv() - configure_logging(verbose=True) - - here = Path(__file__).parent - db_path = here / "research_db" - - db = kuzu.Database(db_path) - storage = MotleyKuzuGraphStore( - db, node_table_schema={"question": "STRING", "answer": "STRING", "context": "STRING"} - ) - - orchestrator = AnswerOrchestrator(storage=storage, answer_length=30) - result = orchestrator() - print(result) diff --git a/examples/research_agent/question_inserter.py b/examples/research_agent/question_inserter.py deleted file mode 100644 index 4913452f..00000000 --- a/examples/research_agent/question_inserter.py +++ /dev/null @@ -1,75 +0,0 @@ -from typing import List - -from pathlib import Path - -from langchain_core.pydantic_v1 import BaseModel, Field -from langchain_core.tools import Tool - -from motleycrew.storage import MotleyGraphStore -from motleycrew.tool import MotleyTool - -from question_struct import Question - - -IS_SUBQUESTION_PREDICATE = "is_subquestion" - - -class QuestionInsertionTool(MotleyTool): - def __init__(self, question: Question, graph: MotleyGraphStore): - - langchain_tool = create_question_insertion_langchain_tool( - name="Question Insertion Tool", - description="Insert a list of questions (supplied as a list of strings) into the graph.", - question=question, - graph=graph, - ) - - super().__init__(langchain_tool) - - -class QuestionInsertionToolInput(BaseModel): - """Subquestions of the current question, to be inserted into the knowledge graph.""" - - questions: List[str] = Field(description="List of questions to be inserted into the knowledge graph.") - - -def create_question_insertion_langchain_tool( - name: str, - description: str, - question: Question, - graph: MotleyGraphStore, -): - def insert_questions(questions: list[str]) -> None: - for subquestion in questions: - subquestion_data = graph.create_entity(Question(question=subquestion).serialize()) - subquestion_obj = Question.deserialize(subquestion_data) - graph.create_rel(from_id=question.id, to_id=subquestion_obj.id, predicate=IS_SUBQUESTION_PREDICATE) - - return Tool.from_function( - func=insert_questions, - name=name, - description=description, - args_schema=QuestionInsertionToolInput, - ) - - -if __name__ == "__main__": - import kuzu - from motleycrew.storage import MotleyKuzuGraphStore - - here = Path(__file__).parent - db_path = here / "test1" - db = kuzu.Database(db_path) - graph_store = MotleyKuzuGraphStore( - db, node_table_schema={"question": "STRING", "answer": "STRING", "context": "STRING"} - ) - - question_data = graph_store.create_entity(Question(question="What is the capital of France?").serialize()) - question = Question.deserialize(question_data) - - children = ["What is the capital of France?", "What is the capital of Germany?"] - tool = QuestionInsertionTool(question=question, graph=graph_store) - tool.invoke({"questions": children}) - - print(f"docker run -p 8000:8000 -v {db_path}:/database --rm kuzudb/explorer: latest") - print("MATCH (A)-[r]->(B) RETURN *;") diff --git a/examples/research_agent/question_orchestrator.py b/examples/research_agent/question_orchestrator.py deleted file mode 100644 index 9e54b218..00000000 --- a/examples/research_agent/question_orchestrator.py +++ /dev/null @@ -1,78 +0,0 @@ -import logging - -from motleycrew import MotleyTool -from motleycrew.storage import MotleyGraphStore - -from question_struct import Question -from question_generator import QuestionGeneratorTool -from question_prioritizer import QuestionPrioritizerTool - - -class KnowledgeGainingOrchestrator: - def __init__(self, storage: MotleyGraphStore, query_tool: MotleyTool): - self.storage = storage - self.query_tool = query_tool - self.question_prioritization_tool = QuestionPrioritizerTool() - self.question_generation_tool = QuestionGeneratorTool(query_tool=query_tool, graph=self.storage) - - def get_unanswered_questions(self, only_without_children: bool = False) -> list[Question]: - if only_without_children: - query = "MATCH (n1:{}) WHERE n1.answer IS NULL AND NOT (n1)-[:{}]->(:{}) RETURN n1;".format( - self.storage.node_table_name, self.storage.rel_table_name, self.storage.node_table_name - ) - else: - query = "MATCH (n1:{}) WHERE n1.answer IS NULL RETURN n1;".format(self.storage.node_table_name) - - query_result = self.storage.run_cypher_query(query) - return [Question.deserialize(row[0]) for row in query_result] - - def __call__(self, query: str, max_iter: int): - question = Question(question=query) - self.storage.create_entity(question.serialize()) - - for iter_n in range(max_iter): - logging.info("====== Iteration %s of %s ======", iter_n + 1, max_iter) - - unanswered_questions = self.get_unanswered_questions(only_without_children=True) - logging.info("Loaded unanswered questions: %s", unanswered_questions) - - most_pertinent_question = self.question_prioritization_tool.invoke( - {"original_question": question, "unanswered_questions": unanswered_questions} - ) - logging.info("Most pertinent question according to the tool: %s", most_pertinent_question) - - logging.info("Generating new questions") - self.question_generation_tool.invoke({"question": most_pertinent_question}) - - -if __name__ == "__main__": - from pathlib import Path - import shutil - import os - import kuzu - from dotenv import load_dotenv - from motleycrew.storage import MotleyKuzuGraphStore - from motleycrew.common.utils import configure_logging - - from retriever_tool import make_retriever_tool - - load_dotenv() - configure_logging(verbose=True) - - here = Path(__file__).parent - db_path = here / "research_db" - shutil.rmtree(db_path, ignore_errors=True) - - db = kuzu.Database(db_path) - storage = MotleyKuzuGraphStore( - db, node_table_schema={"question": "STRING", "answer": "STRING", "context": "STRING"} - ) - - DATA_DIR = os.path.join(here, "mahabharata/text/TinyTales") - - PERSIST_DIR = "./storage" - - query_tool = make_retriever_tool(DATA_DIR, PERSIST_DIR, return_strings_only=True) - - orchestrator = KnowledgeGainingOrchestrator(storage=storage, query_tool=query_tool) - orchestrator(query="Why did Arjuna kill Karna, his half-brother?", max_iter=5) diff --git a/examples/research_agent/research_agent_main.py b/examples/research_agent/research_agent_main.py index 366a56bd..0ff6bed5 100644 --- a/examples/research_agent/research_agent_main.py +++ b/examples/research_agent/research_agent_main.py @@ -1,23 +1,33 @@ from pathlib import Path import shutil import os +import logging +import platform + import kuzu from dotenv import load_dotenv + +from motleycrew import MotleyCrew from motleycrew.storage import MotleyKuzuGraphStore from motleycrew.common.utils import configure_logging +from motleycrew.applications.research_agent.question_task_recipe import QuestionTaskRecipe +from motleycrew.applications.research_agent.answer_task_recipe import AnswerTaskRecipe -from question_orchestrator import KnowledgeGainingOrchestrator -from answer_orchestrator import AnswerOrchestrator from retriever_tool import make_retriever_tool WORKING_DIR = Path(__file__).parent -DB_PATH = WORKING_DIR / "research_db" -DATA_DIR = os.path.join(WORKING_DIR, "mahabharata/text/TinyTales") +if "Dropbox" in WORKING_DIR.parts and platform.system() == "Windows": + # On Windows, kuzu has file locking issues with Dropbox + DB_PATH = os.path.realpath(os.path.expanduser("~") + "/Documents/research_db") +else: + DB_PATH = os.path.realpath(WORKING_DIR / "research_db") + +DATA_DIR = os.path.realpath(os.path.join(WORKING_DIR, "../../../mahabharata/text/TinyTales")) PERSIST_DIR = WORKING_DIR / "storage" QUESTION = "Why did Arjuna kill Karna, his half-brother?" -MAX_ITER = 20 +MAX_ITER = 2 ANSWER_LENGTH = 200 @@ -25,23 +35,28 @@ def main(): load_dotenv() configure_logging(verbose=True) - shutil.rmtree(DB_PATH, ignore_errors=True) + shutil.rmtree(DB_PATH) + + query_tool = make_retriever_tool(DATA_DIR, PERSIST_DIR, return_strings_only=True) db = kuzu.Database(DB_PATH) - storage = MotleyKuzuGraphStore( - db, node_table_schema={"question": "STRING", "answer": "STRING", "context": "STRING"} + graph_store = MotleyKuzuGraphStore(db) + + crew = MotleyCrew(graph_store=graph_store) + + question_recipe = QuestionTaskRecipe( + crew=crew, question=QUESTION, query_tool=query_tool, max_iter=MAX_ITER ) + answer_recipe = AnswerTaskRecipe(answer_length=ANSWER_LENGTH, crew=crew) - query_tool = make_retriever_tool(DATA_DIR, PERSIST_DIR, return_strings_only=True) + question_recipe >> answer_recipe - question_orchestrator = KnowledgeGainingOrchestrator(storage=storage, query_tool=query_tool) - answer_orchestrator = AnswerOrchestrator(storage=storage, answer_length=ANSWER_LENGTH) + done_tasks = crew.run() - question_orchestrator(query=QUESTION, max_iter=MAX_ITER) - answered_question = answer_orchestrator() + final_answer = done_tasks[-1].question - print("Question: ", answered_question.question) - print("Answer: ", answered_question.answer) + print("Question: ", final_answer.question) + print("Answer: ", final_answer.answer) print() print("To explore the graph:") print(f"docker run -p 8000:8000 -v {DB_PATH}:/database --rm kuzudb/explorer:latest") diff --git a/examples/research_agent/retriever_tool.py b/examples/research_agent/retriever_tool.py index 2e9d6638..0eccb50e 100644 --- a/examples/research_agent/retriever_tool.py +++ b/examples/research_agent/retriever_tool.py @@ -14,7 +14,7 @@ ) from motleycrew.tool import MotleyTool -from question_struct import Question +from motleycrew.applications.research_agent.question import Question def make_retriever_tool(DATA_DIR, PERSIST_DIR, return_strings_only: bool = False): @@ -39,10 +39,12 @@ def make_retriever_tool(DATA_DIR, PERSIST_DIR, return_strings_only: bool = False embed_model=embeddings, ) - class RetrieverToolInput(BaseModel): + class RetrieverToolInput(BaseModel, arbitrary_types_allowed=True): """Input for the Retriever Tool.""" - question: Question = Field(description="The input question for which to retrieve relevant data.") + question: Question = Field( + description="The input question for which to retrieve relevant data." + ) def call_retriever(question: Question) -> list: out = retriever.retrieve(question.question) diff --git a/examples/single_crewai.py b/examples/single_crewai.py index 75a5e6a3..963f8e6a 100644 --- a/examples/single_crewai.py +++ b/examples/single_crewai.py @@ -1,44 +1,49 @@ from dotenv import load_dotenv from langchain_community.tools import DuckDuckGoSearchRun -from motleycrew import MotleyCrew, Task +from motleycrew import MotleyCrew from motleycrew.agent.crewai import CrewAIMotleyAgent - -load_dotenv() - -search_tool = DuckDuckGoSearchRun() - -researcher = CrewAIMotleyAgent( - role="Senior Research Analyst", - goal="Uncover cutting-edge developments in AI and data science", - backstory="""You work at a leading tech think tank. -Your expertise lies in identifying emerging trends. -You have a knack for dissecting complex data and presenting actionable insights.""", - verbose=True, - delegation=False, - tools=[search_tool], -) - - -# Create tasks for your agents -crew = MotleyCrew() -task1 = Task( - crew=crew, - name="produce comprehensive analysis report on AI advancements", - description="""Conduct a comprehensive analysis of the latest advancements in AI in 2024. - Identify key trends, breakthrough technologies, and potential industry impacts. - Your final answer MUST be a full analysis report""", - agent=researcher, - documents=["paper1.pdf", "paper2.pdf"], -) - -# Instantiate your crew with a sequential process -result = crew.run( - agents=[researcher], - verbose=2, # You can set it to 1 or 2 to different logging levels -) - -# Get your crew to work! -print(list(result._done)[0].outputs) - -print("######################") +from motleycrew.common.utils import configure_logging + + +def main(): + """Main function of running the example.""" + load_dotenv() + + search_tool = DuckDuckGoSearchRun() + + researcher = CrewAIMotleyAgent( + role="Senior Research Analyst", + goal="Uncover cutting-edge developments in AI and data science", + backstory="""You work at a leading tech think tank. + Your expertise lies in identifying emerging trends. + You have a knack for dissecting complex data and presenting actionable insights.""", + verbose=True, + delegation=False, + tools=[search_tool], + ) + + # Create tasks for your agents + crew = MotleyCrew() + task = crew.create_simple_task( + name="produce comprehensive analysis report on AI advancements", + description="""Conduct a comprehensive analysis of the latest advancements in AI in 2024. + Identify key trends, breakthrough technologies, and potential industry impacts. + Your final answer MUST be a full analysis report""", + agent=researcher, + ) + + # Get your crew to work! + result = crew.run( + verbose=2, # You can set it to 1 or 2 to different logging levels + ) + + print(task.output) + return task.output + + +if __name__ == "__main__": + configure_logging(verbose=True) + + load_dotenv() + main() diff --git a/examples/single_llama_index.py b/examples/single_llama_index.py index 314f775c..735a58ac 100644 --- a/examples/single_llama_index.py +++ b/examples/single_llama_index.py @@ -2,7 +2,7 @@ from langchain_community.tools import DuckDuckGoSearchRun -from motleycrew import MotleyCrew, Task +from motleycrew import MotleyCrew from motleycrew.agent.llama_index import ReActLlamaIndexMotleyAgent from motleycrew.common.utils import configure_logging @@ -21,26 +21,21 @@ def main(): crew = MotleyCrew() # Create tasks for your agents - task1 = Task( - crew=crew, + task = crew.create_simple_task( name="produce comprehensive analysis report on AI advancements", description="""Conduct a comprehensive analysis of the latest advancements in AI in 2024. Identify key trends, breakthrough technologies, and potential industry impacts. Your final answer MUST be a full analysis report""", agent=researcher, - documents=["paper1.pdf", "paper2.pdf"], ) # Get your crew to work! - result = crew.run( - agents=[researcher], + crew.run( verbose=2, # You can set it to 1 or 2 to different logging levels ) - outputs = task1.outputs - print(outputs) - - return [output.response for output in outputs] + print(task.output) + return task.output if __name__ == "__main__": diff --git a/examples/single_openai_tools_react.py b/examples/single_openai_tools_react.py index 06115072..ff4b8249 100644 --- a/examples/single_openai_tools_react.py +++ b/examples/single_openai_tools_react.py @@ -1,10 +1,11 @@ from dotenv import load_dotenv from langchain_community.tools import DuckDuckGoSearchRun -from motleycrew import MotleyCrew, Task +from motleycrew import MotleyCrew from motleycrew.agent.langchain.openai_tools_react import ReactOpenAIToolsAgent from motleycrew.agent.langchain.react import ReactMotleyAgent from motleycrew.common.utils import configure_logging +from motleycrew.caching import enable_cache def main(): @@ -19,33 +20,26 @@ def main(): for r in [researcher, researcher2]: crew = MotleyCrew() - task = Task( - crew=crew, + task = crew.create_simple_task( name="produce comprehensive analysis report on AI advancements", description="""Conduct a comprehensive analysis of the latest advancements in AI in 2024. Identify key trends, breakthrough technologies, and potential industry impacts. Your final answer MUST be a full analysis report""", agent=r, - documents=["paper1.pdf", "paper2.pdf"], # will be ignored for now ) result = crew.run( - agents=[r], verbose=2, # You can set it to 1 or 2 to different logging levels ) # Get your crew to work! - print(task.outputs) - outputs += task.outputs + print(task.output) + outputs.append(task.output) return outputs if __name__ == "__main__": - from motleycrew.caching import enable_cache, set_cache_location, set_strong_cache - configure_logging(verbose=True) load_dotenv() - enable_cache() - set_strong_cache(False) main() diff --git a/motleycrew/__init__.py b/motleycrew/__init__.py index e22635cc..aeca0999 100644 --- a/motleycrew/__init__.py +++ b/motleycrew/__init__.py @@ -1,3 +1,3 @@ from .crew import MotleyCrew -from .tasks import Task, TaskGraph +from .tasks import TaskRecipe from .tool import MotleyTool diff --git a/motleycrew/agent/crewai/__init__.py b/motleycrew/agent/crewai/__init__.py index d4086743..845f1e81 100644 --- a/motleycrew/agent/crewai/__init__.py +++ b/motleycrew/agent/crewai/__init__.py @@ -1,2 +1,3 @@ +from .agent_with_config import CrewAIAgentWithConfig from .crewai import CrewAIMotleyAgentParent from .crewai_agent import CrewAIMotleyAgent diff --git a/motleycrew/agent/crewai/agent_with_config.py b/motleycrew/agent/crewai/agent_with_config.py new file mode 100644 index 00000000..1c5b80e2 --- /dev/null +++ b/motleycrew/agent/crewai/agent_with_config.py @@ -0,0 +1,61 @@ +from typing import Any, Optional, List + +from crewai import Agent +from langchain_core.runnables import RunnableConfig +from langchain.tools.render import render_text_description + + +class CrewAIAgentWithConfig(Agent): + """ + Subclass for CrewAI Agent that overrides the execute_task method to include a config parameter. + TODO: get rid of this when https://github.com/joaomdmoura/crewAI/pull/483 is merged. + """ + + def execute_task( + self, + task: Any, + context: Optional[str] = None, + tools: Optional[List[Any]] = None, + config: Optional[RunnableConfig] = None, + ) -> str: + """Execute a task with the agent. + + Args: + task: Task to execute. + context: Context to execute the task in. + tools: Tools to use for the task. + config: Runnable config + Returns: + Output of the agent + """ + task_prompt = task.prompt() + + if context: + task_prompt = self.i18n.slice("task_with_context").format( + task=task_prompt, context=context + ) + + tools = self._parse_tools(tools or self.tools) + self.create_agent_executor(tools=tools) + self.agent_executor.tools = tools + self.agent_executor.task = task + self.agent_executor.tools_description = render_text_description(tools) + self.agent_executor.tools_names = self.__tools_names(tools) + + result = self.agent_executor.invoke( + { + "input": task_prompt, + "tool_names": self.agent_executor.tools_names, + "tools": self.agent_executor.tools_description, + }, + config=config, + )["output"] + + if self.max_rpm: + self._rpm_controller.stop_rpm_counter() + + return result + + @staticmethod + def __tools_names(tools) -> str: + return ", ".join([t.name for t in tools]) diff --git a/motleycrew/agent/crewai/crewai.py b/motleycrew/agent/crewai/crewai.py index cb186cc7..1acacce5 100644 --- a/motleycrew/agent/crewai/crewai.py +++ b/motleycrew/agent/crewai/crewai.py @@ -1,72 +1,20 @@ -from typing import Any, Optional, Sequence, Callable, Dict, List +from typing import Any, Optional, Sequence -from crewai import Agent from langchain_core.runnables import RunnableConfig -from langchain.tools.render import render_text_description -from pydantic import Field from motleycrew.agent.parent import MotleyAgentAbstractParent from motleycrew.agent.shared import MotleyAgentParent -from motleycrew.tasks import Task -from motleycrew.tool import MotleyTool +from motleycrew.agent.crewai import CrewAIAgentWithConfig from motleycrew.common import MotleySupportedTool from motleycrew.common import MotleyAgentFactory from motleycrew.common.utils import to_str -from motleycrew.common import LLMFramework -from motleycrew.common.llms import init_llm from motleycrew.tracking import add_default_callbacks_to_langchain_config -class CrewAIAgentWithConfig(Agent): - - def execute_task( - self, - task: Any, - context: Optional[str] = None, - tools: Optional[List[Any]] = None, - config: Optional[RunnableConfig] = None - ) -> str: - """Execute a task with the agent. - - Args: - task: Task to execute. - context: Context to execute the task in. - tools: Tools to use for the task. - config: Runnable config - Returns: - Output of the agent - """ - task_prompt = task.prompt() - - if context: - task_prompt = self.i18n.slice("task_with_context").format( - task=task_prompt, context=context - ) - - tools = self._parse_tools(tools or self.tools) - self.create_agent_executor(tools=tools) - self.agent_executor.tools = tools - self.agent_executor.task = task - self.agent_executor.tools_description = render_text_description(tools) - self.agent_executor.tools_names = self.__tools_names(tools) - - result = self.agent_executor.invoke( - { - "input": task_prompt, - "tool_names": self.agent_executor.tools_names, - "tools": self.agent_executor.tools_description, - }, - config=config - )["output"] - - if self.max_rpm: - self._rpm_controller.stop_rpm_counter() - - return result - - @staticmethod - def __tools_names(tools) -> str: - return ", ".join([t.name for t in tools]) +try: + from crewai import Task as CrewAI__Task +except ImportError: + CrewAI__Task = None class CrewAIMotleyAgentParent(MotleyAgentParent): @@ -90,40 +38,30 @@ def __init__( def invoke( self, - task: Task | str, + task_dict: dict, config: Optional[RunnableConfig] = None, **kwargs: Any, ) -> Any: - self.materialize() - self.agent: Agent - - if isinstance(task, str): - assert self.crew, "can't create a task outside a crew" - # TODO: feed in context/task.message_history correctly - # TODO: attach the current task, if any, as a dependency of the new task - # TODO: this preamble should really be a decorator to be shared across agent wrappers - task = Task( - description=task, - name=task, - agent=self, - # TODO inject the new subtask as a dep and reschedule the parent - # TODO probably can't do this from here since we won't know if - # there are other tasks to schedule - crew=self.crew, + if CrewAI__Task is None: + raise ImportError( + "crewai is not installed, you should install it with `pip install crewai`" ) - elif not isinstance(task, Task): - # TODO: should really have a conversion function here from langchain tools to crewai tools - raise ValueError(f"`task` must be a string or a Task, not {type(task)}") + + self.materialize() + + prompt = task_dict.get("prompt") + if not prompt: + raise ValueError("Task must have a prompt") langchain_tools = [tool.to_langchain_tool() for tool in self.tools.values()] config = add_default_callbacks_to_langchain_config(config) - out = self.agent.execute_task( - task, to_str(task.message_history), tools=langchain_tools, config=config + crewai_task = CrewAI__Task(description=prompt) + + output = self.agent.execute_task( + task=crewai_task, context=task_dict.get("context"), tools=langchain_tools, config=config ) - task.outputs = [out] - # TODO: extract message history from agent, attach it to the task - return task + return output # TODO: what do these do? def set_cache_handler(self, cache_handler: Any) -> None: @@ -132,45 +70,6 @@ def set_cache_handler(self, cache_handler: Any) -> None: def set_rpm_controller(self, rpm_controller: Any) -> None: return self.agent.set_rpm_controller(rpm_controller) - @staticmethod - def from_crewai_params( - role: str, - goal: str, - backstory: str, - delegation: bool | Sequence[MotleyAgentAbstractParent] = False, - tools: Sequence[MotleySupportedTool] | None = None, - llm: Optional[Any] = None, - verbose: bool = False, - ) -> "CrewAIMotleyAgentParent": - if tools is None: - tools = [] - - if llm is None: - # CrewAI uses Langchain LLMs by default - llm = init_llm(llm_framework=LLMFramework.LANGCHAIN) - - def agent_factory(tools: dict[str, MotleyTool]): - langchain_tools = [t.to_langchain_tool() for t in tools.values()] - agent = CrewAIAgentWithConfig( - role=role, - goal=goal, - backstory=backstory, - verbose=verbose, - allow_delegation=False, # Delegation handled by MotleyAgentParent - tools=langchain_tools, - llm=llm, - ) - return agent - - return CrewAIMotleyAgentParent( - goal=goal, - name=role, - agent_factory=agent_factory, - delegation=delegation, - tools=tools, - verbose=verbose, - ) - @staticmethod def from_agent( agent: CrewAIAgentWithConfig, diff --git a/motleycrew/agent/crewai/crewai_agent.py b/motleycrew/agent/crewai/crewai_agent.py index 308f086b..3bb0e01b 100644 --- a/motleycrew/agent/crewai/crewai_agent.py +++ b/motleycrew/agent/crewai/crewai_agent.py @@ -1,13 +1,17 @@ from typing import Optional, Any, Sequence +from motleycrew.tool import MotleyTool from motleycrew.common import MotleySupportedTool +from motleycrew.common import LLMFramework +from motleycrew.common.llms import init_llm from motleycrew.agent.parent import MotleyAgentAbstractParent from motleycrew.agent.crewai import CrewAIMotleyAgentParent +from motleycrew.agent.crewai import CrewAIAgentWithConfig class CrewAIMotleyAgent(CrewAIMotleyAgentParent): - def __new__( - cls, + def __init__( + self, role: str, goal: str, backstory: str, @@ -16,12 +20,31 @@ def __new__( llm: Optional[Any] = None, verbose: bool = False, ): - return cls.from_crewai_params( - role=role, + if tools is None: + tools = [] + + if llm is None: + # CrewAI uses Langchain LLMs by default + llm = init_llm(llm_framework=LLMFramework.LANGCHAIN) + + def agent_factory(tools: dict[str, MotleyTool]): + langchain_tools = [t.to_langchain_tool() for t in tools.values()] + agent = CrewAIAgentWithConfig( + role=role, + goal=goal, + backstory=backstory, + verbose=verbose, + allow_delegation=False, # Delegation handled by MotleyAgentParent + tools=langchain_tools, + llm=llm, + ) + return agent + + super().__init__( goal=goal, - backstory=backstory, + name=role, + agent_factory=agent_factory, delegation=delegation, tools=tools, - llm=llm, verbose=verbose, ) diff --git a/motleycrew/agent/langchain/langchain.py b/motleycrew/agent/langchain/langchain.py index 1f098ee5..7f9477bf 100644 --- a/motleycrew/agent/langchain/langchain.py +++ b/motleycrew/agent/langchain/langchain.py @@ -33,35 +33,28 @@ def __init__( agent_factory=agent_factory, delegation=delegation, tools=tools, - verbose=verbose + verbose=verbose, ) def invoke( self, - task: Task | str, + task_dict: dict, config: Optional[RunnableConfig] = None, **kwargs: Any, ) -> Task: self.materialize() - self.agent: AgentExecutor + + prompt = task_dict.get("prompt") + if not prompt: + raise ValueError("Task must have a prompt") config = add_default_callbacks_to_langchain_config(config) - if isinstance(task, str): - assert self.crew, "can't create a task outside a crew" - # TODO: feed in context/task.message_history correctly - # TODO: attach the current task, if any, as a dependency of the new task - task = Task( - description=task, - name=task, - agent=self, - crew=self.crew - ) - elif not isinstance(task, Task): - raise ValueError(f"`task` must be a string or a Task, not {type(task)}") - out = self.agent.invoke({"input": task.description}, config, **kwargs) - task.outputs = [out["output"]] - return task + result = self.agent.invoke({"input": prompt}, config, **kwargs) + output = result.get("output") + if output is None: + raise Exception("Agent {} result does not contain output: {}".format(self, result)) + return output @staticmethod def from_function( @@ -105,7 +98,7 @@ def from_agent( goal: str, delegation: bool | Sequence[MotleyAgentAbstractParent] = False, tools: Sequence[MotleySupportedTool] | None = None, - verbose: bool = False + verbose: bool = False, ) -> "LangchainMotleyAgentParent": # TODO: do we really need to unite the tools implicitly like this? # TODO: confused users might pass tools both ways at the same time @@ -115,10 +108,7 @@ def from_agent( tools = list(tools or []) + list(agent.tools or []) wrapped_agent = LangchainMotleyAgentParent( - goal=goal, - delegation=delegation, - tools=tools, - verbose=verbose + goal=goal, delegation=delegation, tools=tools, verbose=verbose ) wrapped_agent._agent = agent return wrapped_agent diff --git a/motleycrew/agent/llama_index/llama_index.py b/motleycrew/agent/llama_index/llama_index.py index 5c9ca564..06c60233 100644 --- a/motleycrew/agent/llama_index/llama_index.py +++ b/motleycrew/agent/llama_index/llama_index.py @@ -18,7 +18,7 @@ def __init__( agent_factory: MotleyAgentFactory | None = None, delegation: bool | Sequence[MotleyAgentAbstractParent] = False, tools: Sequence[MotleySupportedTool] | None = None, - verbose: bool = False + verbose: bool = False, ): super().__init__( goal=goal, @@ -26,40 +26,23 @@ def __init__( agent_factory=agent_factory, delegation=delegation, tools=tools, - verbose=verbose + verbose=verbose, ) def invoke( self, - task: Task | str, + task_dict: dict, config: Optional[RunnableConfig] = None, **kwargs: Any, ) -> Any: self.materialize() - self.agent: AgentRunner - if isinstance(task, str): - assert self.crew, "can't create a task outside a crew" - # TODO: feed in context/task.message_history correctly - # TODO: attach the current task, if any, as a dependency of the new task - # TODO: this preamble should really be a decorator to be shared across agent wrappers - task = Task( - description=task, - name=task, - agent=self, - # TODO inject the new subtask as a dep and reschedule the parent - # TODO probably can't do this from here since we won't know if - # there are other tasks to schedule - crew=self.crew, - ) - elif not isinstance(task, Task): - # TODO: should really have a conversion function here from langchain tools to crewai tools - raise ValueError(f"`task` must be a string or a Task, not {type(task)}") + prompt = task_dict.get("prompt") + if not prompt: + raise ValueError("Task must have a prompt") - out = self.agent.chat(task.description) - task.outputs = [out] - # TODO: extract message history from agent, attach it to the task - return task + output = self.agent.chat(prompt) + return output.response @staticmethod def from_agent( @@ -70,10 +53,7 @@ def from_agent( verbose: bool = False, ) -> "LlamaIndexMotleyAgentParent": wrapped_agent = LlamaIndexMotleyAgentParent( - goal=goal, - delegation=delegation, - tools=tools, - verbose=verbose + goal=goal, delegation=delegation, tools=tools, verbose=verbose ) wrapped_agent._agent = agent return wrapped_agent diff --git a/motleycrew/agent/parent.py b/motleycrew/agent/parent.py index 7f1f21ee..9001d458 100644 --- a/motleycrew/agent/parent.py +++ b/motleycrew/agent/parent.py @@ -4,15 +4,20 @@ from langchain_core.runnables import RunnableConfig if TYPE_CHECKING: - from motleycrew.tasks import Task + from motleycrew.tasks import TaskRecipe + from motleycrew.tool import MotleyTool class MotleyAgentAbstractParent(ABC): @abstractmethod def invoke( self, - task: Union["Task", str], + task: Union["SimpleTaskRecipe", str], config: Optional[RunnableConfig] = None, **kwargs: Any, - ) -> "Task": + ) -> "SimpleTaskRecipe": + pass + + @abstractmethod + def as_tool(self) -> "MotleyTool": pass diff --git a/motleycrew/agent/shared.py b/motleycrew/agent/shared.py index 85c860ae..2d190243 100644 --- a/motleycrew/agent/shared.py +++ b/motleycrew/agent/shared.py @@ -1,11 +1,10 @@ import logging -import json -from typing import TYPE_CHECKING, Any, Sequence +from typing import TYPE_CHECKING, Optional, Sequence from langchain_core.tools import Tool +from langchain_core.pydantic_v1 import BaseModel from motleycrew.agent.parent import MotleyAgentAbstractParent -from motleycrew.tasks import Task from motleycrew.tool import MotleyTool from motleycrew.common import MotleySupportedTool @@ -28,7 +27,7 @@ def __init__( verbose: bool = False, ): self.name = name or goal - self.goal = goal # becomes tool description + self.description = goal # becomes tool description self.agent_factory = agent_factory self.delegation = delegation # will be init'd at crew creation self.tools: dict[str, MotleyTool] = {} @@ -40,11 +39,17 @@ def __init__( if tools: self.add_tools(tools) + def __repr__(self): + return f"Agent(name={self.name})" + + def __str__(self): + return self.__repr__() + @property def agent(self): """ Getter for the inner agent that makes sure it's already materialized. - The inner agent should always be accesed via this property method. + The inner agent should always be accessed via this property method. """ if not self.is_materialized: raise AgentNotMaterialized(agent_name=self.name) @@ -62,7 +67,7 @@ def materialize(self): self._agent = self.agent_factory(tools=self.tools) def add_tools(self, tools: Sequence[MotleySupportedTool]): - if self.is_materialized: + if self.is_materialized and tools: raise CannotModifyMaterializedAgent(agent_name=self.name) for t in tools: @@ -70,44 +75,57 @@ def add_tools(self, tools: Sequence[MotleySupportedTool]): if motley_tool.name not in self.tools: self.tools[motley_tool.name] = motley_tool - def as_tool(self) -> MotleyTool: + def as_tool(self, input_schema: Optional[BaseModel] = None) -> MotleyTool: + def call_agent(*args, **kwargs): + # TODO: this thing is hacky, we should have a better way to pass structured input + if args: + return self.invoke({"prompt": args[0]}) + if len(kwargs) == 1: + return self.invoke({"prompt": list(kwargs.values())[0]}) + return self.invoke(kwargs) + # To be specialized if we expect structured input return MotleyTool.from_langchain_tool( - Tool(name=self.name, description=self.goal, func=self.call_as_tool) + Tool( + name=self.name, + description=self.description, + func=call_agent, + args_schema=input_schema, + ) ) - def call_as_tool(self, *args, **kwargs) -> Any: - logging.info("Entering delegation for %s", self.name) - assert self.crew, "can't accept delegated task outside of a crew" - - if len(args) > 0: - input_ = args[0] - elif "tool_input" in kwargs: - # Is this a crewai notation? - input_ = kwargs["tool_input"] - else: - input_ = json.dumps(kwargs) - - logging.info("Made the args: %s", input_) - - # TODO: pass context of parent task to agent nicely? - # TODO: mark the current task as depending on the new task - task = Task( - description=input_, - name=input_, - agent=self, - # TODO inject the new subtask as a dep and reschedule the parent - # TODO probably can't do this from here since we won't know if - # there are other tasks to schedule - crew=self.crew, - ) - - # TODO: make sure tools return task objects, which are properly used by callers - logging.info("Executing subtask '%s'", task.name) - self.crew.task_graph.set_task_running(task=task) - result = self.crew.execute(task, return_result=True) - - logging.info("Finished subtask '%s' - %s", task.name, result) - self.crew.task_graph.set_task_done(task=task) - - return result + # def call_as_tool(self, *args, **kwargs) -> Any: + # logging.info("Entering delegation for %s", self.name) + # assert self.crew, "can't accept delegated task outside of a crew" + # + # if len(args) > 0: + # input_ = args[0] + # elif "tool_input" in kwargs: + # # Is this a crewai notation? + # input_ = kwargs["tool_input"] + # else: + # input_ = json.dumps(kwargs) + # + # logging.info("Made the args: %s", input_) + # + # # TODO: pass context of parent task to agent nicely? + # # TODO: mark the current task as depending on the new task + # task = SimpleTaskRecipe( + # description=input_, + # name=input_, + # agent=self, + # # TODO inject the new subtask as a dep and reschedule the parent + # # TODO probably can't do this from here since we won't know if + # # there are other tasks to schedule + # crew=self.crew, + # ) + # + # # TODO: make sure tools return task objects, which are properly used by callers + # logging.info("Executing subtask '%s'", task.name) + # self.crew.task_graph.set_task_running(task=task) + # result = self.crew.execute(task, return_result=True) + # + # logging.info("Finished subtask '%s' - %s", task.name, result) + # self.crew.task_graph.set_task_done(task=task) + # + # return result diff --git a/motleycrew/applications/__init__.py b/motleycrew/applications/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/motleycrew/applications/research_agent/__init__.py b/motleycrew/applications/research_agent/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/motleycrew/applications/research_agent/answer_task_recipe.py b/motleycrew/applications/research_agent/answer_task_recipe.py new file mode 100644 index 00000000..7055e604 --- /dev/null +++ b/motleycrew/applications/research_agent/answer_task_recipe.py @@ -0,0 +1,41 @@ +import logging +from typing import List, Optional +from langchain_core.runnables import Runnable + +from motleycrew.crew import MotleyCrew +from motleycrew.tool import MotleyTool +from motleycrew.tasks import TaskRecipe +from motleycrew.tasks.task import TaskType +from motleycrew.tasks import Task +from motleycrew.applications.research_agent.question import Question, QuestionAnsweringTask +from motleycrew.applications.research_agent.question_answerer import AnswerSubQuestionTool +from motleycrew.storage import MotleyGraphStore + + +class AnswerTaskRecipe(TaskRecipe): + def __init__( + self, + crew: MotleyCrew, + answer_length: int = 1000, + ): + super().__init__("AnswerTaskRecipe", crew) + self.answer_length = answer_length + self.answerer = AnswerSubQuestionTool( + graph=self.graph_store, answer_length=self.answer_length + ) + + def identify_candidates(self) -> list[QuestionAnsweringTask]: + query = ( + "MATCH (n1:{}) " + "WHERE n1.answer IS NULL AND n1.context IS NOT NULL " + "AND NOT EXISTS {{MATCH (n1)-[]->(n2:{}) " + "WHERE n2.answer IS NULL AND n2.context IS NOT NULL}} " + "RETURN n1" + ).format(Question.get_label(), Question.get_label()) + + query_result = self.graph_store.run_cypher_query(query, container=Question) + logging.info("Available questions: %s", query_result) + return [QuestionAnsweringTask(question=q) for q in query_result] + + def get_worker(self, tools: Optional[List[MotleyTool]]) -> Runnable: + return self.answerer diff --git a/examples/research_agent/question_struct.py b/motleycrew/applications/research_agent/question.py similarity index 50% rename from examples/research_agent/question_struct.py rename to motleycrew/applications/research_agent/question.py index ed4e5268..2d649b14 100644 --- a/examples/research_agent/question_struct.py +++ b/motleycrew/applications/research_agent/question.py @@ -2,13 +2,14 @@ from dataclasses import dataclass import json +from motleycrew.storage.graph_node import MotleyGraphNode +from motleycrew.tasks import Task + REPR_CONTEXT_LENGTH_LIMIT = 30 -@dataclass -class Question: - id: Optional[int] = None - question: Optional[str] = None +class Question(MotleyGraphNode): + question: str answer: Optional[str] = None context: Optional[list[str]] = None @@ -26,26 +27,10 @@ def __repr__(self): self.id, self.question, self.answer, context_repr ) - def serialize(self): - data = {} - - if self.id: - data["id"] = self.id - if self.question: - data["question"] = self.question - if self.answer: - data["answer"] = self.answer - if self.context: - data["context"] = json.dumps(self.context) - - return data - - @staticmethod - def deserialize(data: dict): - context_raw = data["context"] - if context_raw: - context = json.loads(context_raw) - else: - context = None - return Question(id=data["id"], question=data["question"], answer=data["answer"], context=context) +class QuestionGenerationTask(Task): + question: Question + + +class QuestionAnsweringTask(Task): + question: Question diff --git a/examples/research_agent/question_answerer.py b/motleycrew/applications/research_agent/question_answerer.py similarity index 86% rename from examples/research_agent/question_answerer.py rename to motleycrew/applications/research_agent/question_answerer.py index e995ca9c..1e256615 100644 --- a/examples/research_agent/question_answerer.py +++ b/motleycrew/applications/research_agent/question_answerer.py @@ -12,7 +12,7 @@ from motleycrew.storage import MotleyGraphStore from motleycrew.common.utils import print_passthrough -from question_struct import Question +from motleycrew.applications.research_agent.question import Question, QuestionAnsweringTask _default_prompt = PromptTemplate.from_template( @@ -47,21 +47,23 @@ def __init__( super().__init__(langchain_tool) -class QuestionAnswererInput(BaseModel): +class QuestionAnswererInput(BaseModel, arbitrary_types_allowed=True): """Data on the question to answer.""" - question: Question = Field( + task: QuestionAnsweringTask = Field( description="Question node to process.", ) def get_subquestions(graph: MotleyGraphStore, question: Question) -> list[Question]: query = "MATCH (n1:{})-[]->(n2:{}) WHERE n1.id = $question_id and n2.context IS NOT NULL RETURN n2".format( - graph.node_table_name, graph.node_table_name + Question.get_label(), Question.get_label() ) - query_result = graph.run_cypher_query(query, parameters={"question_id": question.id}) - return [Question.deserialize(row[0]) for row in query_result] + query_result = graph.run_cypher_query( + query, parameters={"question_id": question.id}, container=Question + ) + return query_result def create_answer_question_langchain_tool( @@ -108,15 +110,12 @@ def insert_answer(input_dict: dict) -> None: """ question = input_dict["question"] answer = input_dict["answer"].content - - graph.set_property( - entity_id=question.id, - property_name="answer", - property_value=answer, - ) + question.answer = answer this_chain = ( - RunnablePassthrough.assign(question_text=lambda x: x["question"].question, notes=write_notes) + RunnablePassthrough.assign( + question_text=lambda x: x["question"].question, notes=write_notes + ) | RunnableLambda(print_passthrough) | RunnablePassthrough.assign(answer=subquestion_answerer.to_langchain_tool()) | RunnableLambda(print_passthrough) @@ -124,7 +123,7 @@ def insert_answer(input_dict: dict) -> None: ) langchain_tool = Tool.from_function( - func=lambda question: this_chain.invoke({"question": question}), + func=lambda task: this_chain.invoke({"question": task.question}), name="Answer Sub-Question Tool", description="Answer a question based on the notes and sub-questions.", args_schema=QuestionAnswererInput, diff --git a/examples/research_agent/question_generator.py b/motleycrew/applications/research_agent/question_generator.py similarity index 75% rename from examples/research_agent/question_generator.py rename to motleycrew/applications/research_agent/question_generator.py index a3bb4573..8ef40c9b 100644 --- a/examples/research_agent/question_generator.py +++ b/motleycrew/applications/research_agent/question_generator.py @@ -1,6 +1,6 @@ -from typing import Optional, Any -import json +from typing import Optional from pathlib import Path +import logging from langchain_core.language_models import BaseLanguageModel from langchain_core.runnables import ( @@ -19,14 +19,15 @@ from motleycrew.common.utils import print_passthrough from motleycrew.storage import MotleyGraphStore -from question_struct import Question -from question_inserter import QuestionInsertionTool +from motleycrew.applications.research_agent.question import Question, QuestionGenerationTask + +IS_SUBQUESTION_PREDICATE = "is_subquestion" default_prompt = PromptTemplate.from_template( """ You are a part of a team. The ultimate goal of your team is to -answer the following Question: '{question_text}'.\n +answer the following Question: '{question}'.\n Your team has discovered some new text (delimited by ```) that may be relevant to your ultimate goal. text: \n ``` {context} ``` \n Your task is to ask new questions that may help your team achieve the ultimate goal. @@ -73,10 +74,12 @@ def __init__( super().__init__(langchain_tool) -class QuestionGeneratorToolInput(BaseModel): +class QuestionGeneratorToolInput(BaseModel, arbitrary_types_allowed=True): """Input for the Question Generator Tool.""" - question: Question = Field(description="The input question for which to generate subquestions.") + task: QuestionGenerationTask = Field( + description="Task with the input question for which to generate subquestions." + ) def create_question_generator_langchain_tool( @@ -98,46 +101,35 @@ def create_question_generator_langchain_tool( assert isinstance(prompt, BasePromptTemplate), "Prompt must be a string or a BasePromptTemplate" - def partial_inserter(input_dict: dict): - out = QuestionInsertionTool(graph=graph, question=input_dict["question"]).to_langchain_tool() - return (out,) - def insert_questions(input_dict) -> None: - inserter = input_dict["question_inserter"]["question_inserter"][0] questions_raw = input_dict["subquestions"].content questions = [q.strip() for q in questions_raw.split("\n") if len(q.strip()) > 1] - - inserter.invoke({"questions": questions}) + for q in questions: + logging.info("Inserting question: %s", q) + subquestion = graph.insert_node(Question(question=q)) + graph.create_relation(input_dict["question"], subquestion, IS_SUBQUESTION_PREDICATE) + logging.info("Inserted %s questions", len(questions)) def set_context(input_dict: dict): - context = input_dict["context"] - graph.set_property( - entity_id=input_dict["question"]["question"].id, - property_name="context", - property_value=json.dumps(input_dict["context"]), - ) + node = input_dict["question"] + node.context = input_dict["context"] - # TODO: add context to question node pipeline = ( - { - "question": RunnablePassthrough(), - "context": query_tool.to_langchain_tool(), - "question_inserter": RunnableLambda(partial_inserter), - } + RunnableLambda(print_passthrough) + | RunnablePassthrough().assign(context=query_tool.to_langchain_tool()) + | RunnableLambda(print_passthrough) + | RunnablePassthrough().assign( + subquestions=prompt.partial(num_questions=str(max_questions)) | llm + ) | RunnableLambda(print_passthrough) | { - "subquestions": RunnablePassthrough.assign(question_text=lambda x: x["question"]["question"].question) - | prompt.partial(num_questions=max_questions) - | llm, - "context_setter": RunnableLambda(set_context), - "question_inserter": RunnablePassthrough(), + "set_context": RunnableLambda(set_context), + "insert_questions": RunnableLambda(insert_questions), } - | RunnableLambda(print_passthrough) - | RunnableLambda(insert_questions) ) return Tool.from_function( - func=lambda question: pipeline.invoke({"question": question}), + func=lambda task: pipeline.invoke({"question": task.question}), name="Question Generator Tool", description="""Generate a list of questions based on the input question, and insert them into the knowledge graph.""", diff --git a/examples/research_agent/question_prioritizer.py b/motleycrew/applications/research_agent/question_prioritizer.py similarity index 80% rename from examples/research_agent/question_prioritizer.py rename to motleycrew/applications/research_agent/question_prioritizer.py index b9dfb921..f4af9102 100644 --- a/examples/research_agent/question_prioritizer.py +++ b/motleycrew/applications/research_agent/question_prioritizer.py @@ -12,7 +12,7 @@ from motleycrew.tool import LLMTool from motleycrew.common.utils import print_passthrough -from question_struct import Question +from motleycrew.applications.research_agent.question import Question class QuestionPrioritizerTool(MotleyTool): @@ -39,7 +39,7 @@ def __init__( ) -class QuestionPrioritizerInput(BaseModel): +class QuestionPrioritizerInput(BaseModel, arbitrary_types_allowed=True): original_question: Question = Field(description="The original question.") unanswered_questions: list[Question] = Field( description="Questions to pick the most pertinent to the original question from.", @@ -69,12 +69,17 @@ def get_original_question_text(input_dict: dict): @chain def format_unanswered_questions(input_dict: dict): unanswered_questions: list[Question] = input_dict["unanswered_questions"] - return "\n".join("{}. {}".format(i + 1, question.question) for i, question in enumerate(unanswered_questions)) + return "\n".join( + "{}. {}".format(i + 1, question.question) + for i, question in enumerate(unanswered_questions) + ) @chain def get_most_pertinent_question(input_dict: dict): unanswered_questions: list[Question] = input_dict["unanswered_questions"] - most_pertinent_question_id = int(input_dict["most_pertinent_question_id_message"].content.strip(" \n.")) - 1 + most_pertinent_question_id = ( + int(input_dict["most_pertinent_question_id_message"].content.strip(" \n.")) - 1 + ) assert most_pertinent_question_id < len(unanswered_questions) return unanswered_questions[most_pertinent_question_id] @@ -84,7 +89,9 @@ def get_most_pertinent_question(input_dict: dict): unanswered_questions_text=format_unanswered_questions, ) | RunnableLambda(print_passthrough) - | RunnablePassthrough.assign(most_pertinent_question_id_message=question_prioritizer.to_langchain_tool()) + | RunnablePassthrough.assign( + most_pertinent_question_id_message=question_prioritizer.to_langchain_tool() + ) | RunnableLambda(print_passthrough) | get_most_pertinent_question ) @@ -103,8 +110,13 @@ def get_most_pertinent_question(input_dict: dict): if __name__ == "__main__": q = Question(question="What color is the sky?") - unanswered = [Question(question="What time of day is it?"), Question(question="Who was H.P.Lovecraft?")] + unanswered = [ + Question(question="What time of day is it?"), + Question(question="Who was H.P.Lovecraft?"), + ] - out = QuestionPrioritizerTool().invoke({"unanswered_questions": unanswered, "original_question": q}) + out = QuestionPrioritizerTool().invoke( + {"unanswered_questions": unanswered, "original_question": q} + ) print(out) print("yay!") diff --git a/motleycrew/applications/research_agent/question_task_recipe.py b/motleycrew/applications/research_agent/question_task_recipe.py new file mode 100644 index 00000000..0dc1d926 --- /dev/null +++ b/motleycrew/applications/research_agent/question_task_recipe.py @@ -0,0 +1,73 @@ +import logging +from typing import List, Optional + +from langchain_core.runnables import Runnable + +from motleycrew.tasks import TaskRecipe +from ...tasks.task import TaskType +from motleycrew.tool import MotleyTool +from motleycrew.crew import MotleyCrew +from .question import Question, QuestionGenerationTask +from .question_generator import QuestionGeneratorTool +from .question_prioritizer import QuestionPrioritizerTool + + +class QuestionTaskRecipe(TaskRecipe): + def __init__( + self, + question: str, + query_tool: MotleyTool, + crew: MotleyCrew, + max_iter: int = 10, + name: str = "QuestionTaskRecipe", + ): + # Need to supply the crew already at this stage + # because need to use the graph store in constructor + super().__init__(name, crew=crew) + + self.max_iter = max_iter + self.n_iter = 0 + self.question = Question(question=question) + self.graph_store.insert_node(self.question) + self.question_prioritization_tool = QuestionPrioritizerTool() + self.question_generation_tool = QuestionGeneratorTool( + query_tool=query_tool, graph=self.graph_store + ) + + def identify_candidates(self) -> list[QuestionGenerationTask]: + if self.done: + return [] + + unanswered_questions = self.get_unanswered_questions(only_without_children=True) + logging.info("Loaded unanswered questions: %s", unanswered_questions) + + most_pertinent_question = self.question_prioritization_tool.invoke( + { + "original_question": self.question, + "unanswered_questions": unanswered_questions, + } + ) + logging.info("Most pertinent question according to the tool: %s", most_pertinent_question) + return [QuestionGenerationTask(question=most_pertinent_question)] + + def register_completed_task(self, task: TaskType) -> None: + logging.info("==== Completed iteration %s of %s ====", self.n_iter + 1, self.max_iter) + self.n_iter += 1 + if self.n_iter >= self.max_iter: + self.set_done(True) + + def get_worker(self, tools: Optional[List[MotleyTool]]) -> Runnable: + return self.question_generation_tool + + def get_unanswered_questions(self, only_without_children: bool = False) -> list[Question]: + if only_without_children: + query = ( + "MATCH (n1:{}) WHERE n1.answer IS NULL AND NOT (n1)-[]->(:{}) RETURN n1;".format( + Question.get_label(), Question.get_label() + ) + ) + else: + query = "MATCH (n1:{}) WHERE n1.answer IS NULL RETURN n1;".format(Question.get_label()) + + query_result = self.graph_store.run_cypher_query(query, container=Question) + return query_result diff --git a/motleycrew/caching/http_cache.py b/motleycrew/caching/http_cache.py index 7f2a0cb3..0026e2a1 100644 --- a/motleycrew/caching/http_cache.py +++ b/motleycrew/caching/http_cache.py @@ -6,15 +6,18 @@ import logging import inspect import fnmatch +import cloudpickle +import platformdirs -from dotenv import load_dotenv import requests from requests.structures import CaseInsensitiveDict -from httpx import Client, Headers -from curl_cffi.requests import AsyncSession -from curl_cffi.requests import Headers as CurlCffiHeaders -import cloudpickle -import platformdirs +from httpx import ( + Client as HTTPX__Client, + AsyncClient as HTTPX_AsyncClient, + Headers as HTTPX__Headers, +) +from curl_cffi.requests import AsyncSession as CurlCFFI__AsyncSession +from curl_cffi.requests import Headers as CurlCFFI__Headers from .utils import recursive_hash, hash_code, FakeRLock @@ -87,7 +90,7 @@ def enable(self): """Enable caching""" self._enable() self.is_caching = True - + library_log = "for {} library.".format(self.library_name) if self.library_name else "." logging.info("Enable caching {} class {}".format(self.__class__, library_log)) @@ -95,7 +98,7 @@ def disable(self): """Disable caching""" self._disable() self.is_caching = False - + library_log = "for {} library.".format(self.library_name) if self.library_name else "." logging.info("Disable caching {} class {}".format(self.__class__, library_log)) @@ -232,7 +235,7 @@ class RequestsHttpCaching(BaseHttpCache): library_name = "requests" def __init__(self, *args, **kwargs): - super(RequestsHttpCaching, self).__init__(*args, **kwargs) + super().__init__(*args, **kwargs) self.library_method = requests.api.request def get_url(self, *args, **kwargs) -> str: @@ -266,8 +269,9 @@ class HttpxHttpCaching(BaseHttpCache): library_name = "Httpx" def __init__(self, *args, **kwargs): - super(HttpxHttpCaching, self).__init__(*args, **kwargs) - self.library_method = Client.send + super().__init__(*args, **kwargs) + self.library_method = HTTPX__Client.send + self.alibrary_method = HTTPX_AsyncClient.send def get_url(self, *args, **kwargs) -> str: """Finds the url in the arguments and returns it""" @@ -275,8 +279,8 @@ def get_url(self, *args, **kwargs) -> str: def prepare_response(self, response: Any) -> Any: """Preparing the response object before saving""" - response.headers = Headers() - response.request.headers = Headers() + response.headers = HTTPX__Headers() + response.request.headers = HTTPX__Headers() return response def _enable(self): @@ -286,11 +290,17 @@ def _enable(self): def request_func(s, request, *args, **kwargs): return self.library_method(s, request, **kwargs) - Client.send = request_func + @afile_cache(self, updating_parameters={"stream": False}) + async def arequest_func(s, request, *args, **kwargs): + return await self.alibrary_method(s, request, **kwargs) + + HTTPX__Client.send = request_func + HTTPX_AsyncClient.send = arequest_func def _disable(self): """Replacing the caching function with the original one""" - Client.send = self.library_method + HTTPX__Client.send = self.library_method + HTTPX_AsyncClient.send = self.alibrary_method class CurlCffiHttpCaching(BaseHttpCache): @@ -300,8 +310,8 @@ class CurlCffiHttpCaching(BaseHttpCache): library_name = "Curl cffi" def __init__(self, *args, **kwargs): - super(CurlCffiHttpCaching, self).__init__(*args, **kwargs) - self.library_method = AsyncSession.request + super().__init__(*args, **kwargs) + self.library_method = CurlCFFI__AsyncSession.request def get_url(self, *args, **kwargs) -> str: """Finds the url in the arguments and returns it""" @@ -309,8 +319,8 @@ def get_url(self, *args, **kwargs) -> str: def prepare_response(self, response: Any) -> Any: """Preparing the response object before saving""" - response.headers = CurlCffiHeaders() - response.request.headers = CurlCffiHeaders() + response.headers = CurlCFFI__Headers() + response.request.headers = CurlCFFI__Headers() response.curl = None response.cookies.jar._cookies_lock = FakeRLock() return response @@ -322,8 +332,8 @@ def _enable(self): async def request_func(s, method, url, *args, **kwargs): return await self.library_method(s, method, url, *args, **kwargs) - AsyncSession.request = request_func + CurlCFFI__AsyncSession.request = request_func def _disable(self): """Replacing the caching function with the original one""" - AsyncSession.request = self.library_method + CurlCFFI__AsyncSession.request = self.library_method diff --git a/motleycrew/common/__init__.py b/motleycrew/common/__init__.py index 039f9081..e78a4fbb 100644 --- a/motleycrew/common/__init__.py +++ b/motleycrew/common/__init__.py @@ -1,5 +1,8 @@ from .enums import LLMFamily from .enums import LLMFramework +from .enums import TaskStatus +from .enums import LunaryRunType +from .enums import LunaryEventName from .defaults import Defaults diff --git a/motleycrew/common/enums.py b/motleycrew/common/enums.py index 7f611d0f..cd62bd4c 100644 --- a/motleycrew/common/enums.py +++ b/motleycrew/common/enums.py @@ -7,6 +7,12 @@ class LLMFramework: LLAMA_INDEX = "llama_index" +class TaskStatus: + PENDING = "pending" + RUNNING = "running" + DONE = "done" + + class LunaryRunType: LLM = "llm" AGENT = "agent" diff --git a/motleycrew/common/exceptions.py b/motleycrew/common/exceptions.py index 6ead1bf5..80119073 100644 --- a/motleycrew/common/exceptions.py +++ b/motleycrew/common/exceptions.py @@ -1,3 +1,6 @@ +from __future__ import annotations + + class LLMFamilyNotSupported(Exception): def __init__(self, llm_framework: str, llm_family: str): self.llm_framework = llm_framework @@ -33,6 +36,10 @@ def __str__(self) -> str: ) +class TaskDependencyCycleError(Exception): + """Raised when a task is set to depend on itself""" + + class IntegrationTestException(Exception): """Integration tests exception""" diff --git a/motleycrew/common/utils.py b/motleycrew/common/utils.py index 36b7b13e..98350f9c 100644 --- a/motleycrew/common/utils.py +++ b/motleycrew/common/utils.py @@ -5,8 +5,13 @@ from langchain_core.messages import BaseMessage -def configure_logging(verbose: bool = False): - level = logging.INFO if verbose else logging.WARNING +def configure_logging(verbose: bool = False, debug: bool = False): + if debug: + level = logging.DEBUG + elif verbose: + level = logging.INFO + else: + level = logging.WARNING logging.basicConfig(format="%(asctime)s - %(levelname)s - %(message)s", level=level) @@ -19,9 +24,7 @@ def to_str(value: str | BaseMessage | Sequence[str] | Sequence[BaseMessage]) -> try: return "\n".join([to_str(v) for v in value]) except TypeError: - raise TypeError( - f"Expected str, BaseMessage, or an iterable of them, got {type(value)}" - ) + raise TypeError(f"Expected str, BaseMessage, or an iterable of them, got {type(value)}") def is_http_url(url): diff --git a/motleycrew/crew.py b/motleycrew/crew.py index 11c4a181..670e3ec4 100644 --- a/motleycrew/crew.py +++ b/motleycrew/crew.py @@ -2,148 +2,188 @@ import concurrent.futures import os from concurrent.futures import Future, ThreadPoolExecutor -from typing import Iterable, Sequence, Set +from typing import Collection, Sequence, Set, Optional from uuid import uuid4 +from langchain_core.runnables import Runnable + from motleycrew.agent.shared import MotleyAgentParent -from motleycrew.tasks import Task, TaskGraph +from motleycrew.tasks import TaskRecipe, Task, SimpleTaskRecipe from motleycrew.tool.tool import BaseTool +from motleycrew.storage import MotleyGraphStore, MotleyKuzuGraphStore +from motleycrew.tool import MotleyTool class MotleyCrew: - def __init__(self): + def __init__(self, graph_store: Optional[MotleyGraphStore] = None): self.uuid = uuid4() # TODO: impute number of workers or allow configurable self.thread_pool = ThreadPoolExecutor(max_workers=8) self.futures: Set[Future] = set() - self.task_graph = TaskGraph() + if graph_store is None: + # TODO: this is a hack, should be configurable + WORKING_DIR = os.path.realpath(os.path.dirname(__file__)) + import kuzu + + DB_PATH = os.path.join(WORKING_DIR, "kuzu_db") + db = kuzu.Database(DB_PATH) + graph_store = MotleyKuzuGraphStore(db) + self.graph_store = graph_store self.single_thread = os.environ.get("MC_SINGLE_THREAD", False) self.tools = [] + self.task_recipes = [] + + def create_simple_task( + self, + description: str, + agent: MotleyAgentParent, + name: Optional[str] = None, + generate_name: bool = False, + tools: Optional[Sequence[MotleyTool]] = None, + ) -> SimpleTaskRecipe: + """ + Basic method for creating a simple task recipe + """ + if name is None and generate_name: + # Call llm to generate a name + raise NotImplementedError("Name generation not yet implemented") + task_recipe = SimpleTaskRecipe(name=name, description=description, agent=agent, tools=tools) + self.register_task_recipes([task_recipe]) + return task_recipe def run( self, - agents: Sequence[MotleyAgentParent] | None = None, - tools: Sequence[BaseTool] | None = None, - verbose: int = 0, - ) -> TaskGraph: - # TODO: propagate the `verbose` argument - - self.task_graph.check_cyclical_dependencies() - - if isinstance(tools, Sequence): - self.tools = list(tools) - - # TODO: need to specify agents both to tasks and to crew, redundant? - self.agents = agents - for agent in self.agents: - agent.crew = self - - if self.single_thread: - logging.info("Running in single-thread mode") - return self._run_sync() - - logging.info("Running in threaded mode") - return self._run_async() - - def _run_sync(self): - tasks = self.task_graph - while tasks.num_tasks_remaining(): - self.dispatch_next_batch() - return tasks - - def _run_async(self): - tasks = self.task_graph - self.adispatch_next_batch() - while self.futures: - # TODO handle errors - # TODO pass results to next task - done, _ = concurrent.futures.wait( - self.futures, return_when=concurrent.futures.FIRST_COMPLETED - ) - - for future in done: - exc = future.exception() - if exc: - raise exc - - task = future.mc_task - logging.info(f"Finished task '{task.name}'") - self.futures.remove(future) - tasks.set_task_done(task) - self.adispatch_next_batch() - - return tasks - - def add_task(self, task: Task): - self.task_graph.add_task(task) - - def dispatch_next_batch(self): - next_ = self.task_graph.get_ready_tasks() - for t in next_: - logging.info(f"Dispatching task '{t.name}'") - self.task_graph.set_task_running(t) - self.execute(t, True) - self.task_graph.set_task_done(t) - - def adispatch_next_batch(self): - next_ = self.task_graph.get_ready_tasks() - for t in next_: - self.task_graph.set_task_running(t) - logging.info(f"Dispatching task '{t.name}'") - future = self.thread_pool.submit( - self.execute, - t, - True, - ) - self.futures.add(future) - future.mc_task = t - - def execute(self, task: Task, return_result: bool = True): - agent = self.assign_agent(task) - if return_result: - return agent.invoke(task).outputs[-1] - else: - raise NotImplementedError("Async task spawning not yet implemented") - # return f"Subtask {task.name} spawned successfully" - - def assign_agent(self, task: Task) -> MotleyAgentParent: - if isinstance(task.agent, MotleyAgentParent): - # TODO: make a deepcopy here, perhaps via cloudpickle? - # Agents are meant to be transient, so we don't want to modify the original - agent = task.agent - else: - agent = spawn_agent(task) - tools = self.get_agent_tools(agent, task) - agent.add_tools(tools) - - logging.info("Assigning task '%s' to agent '%s'", task.name, agent.name) - - return agent - - def get_agent_tools(self, agent: MotleyAgentParent, task: Task) -> Sequence[BaseTool]: - # Task is needed later when we do smart tool selection + verbose: int = 0, # TODO: use! + ) -> list[Task]: + if not self.single_thread: + logging.warning("Multithreading is not implemented yet, will run in single thread") + + return self._run_sync(verbose=verbose) + + def add_dependency(self, upstream: TaskRecipe, downstream: TaskRecipe): + self.graph_store.create_relation( + upstream.node, downstream.node, label=TaskRecipe.TASK_RECIPE_IS_UPSTREAM_LABEL + ) + # # TODO: rollback if bad? + # self.check_cyclical_dependencies() + + def register_task_recipes(self, task_recipes: Collection[TaskRecipe]): + for task_recipe in task_recipes: + if task_recipe not in self.task_recipes: + self.task_recipes.append(task_recipe) + task_recipe.crew = self + self.graph_store.insert_node(task_recipe.node) + + self.graph_store.ensure_relation_table( + from_class=type(task_recipe.node), + to_class=type(task_recipe.node), + label=TaskRecipe.TASK_RECIPE_IS_UPSTREAM_LABEL, + ) # TODO: remove this workaround, https://github.com/kuzudb/kuzu/issues/3488 + + def _run_sync(self, verbose: int = 0) -> list[Task]: + # TODO: use the verbose arg + done_tasks = [] + while True: + did_something = False + + available_task_recipes = self.get_available_task_recipes() + logging.info("Available task recipes: %s", available_task_recipes) + + for recipe in available_task_recipes: + logging.info("Processing recipe: %s", recipe) + + matching_tasks = recipe.identify_candidates() + logging.info("Got %s matching tasks for recipe %s", len(matching_tasks), recipe) + if len(matching_tasks) > 0: + current_task = matching_tasks[0] + logging.info("Processing task: %s", current_task) + + extra_tools = self.get_extra_tools(recipe) + + agent = recipe.get_worker(extra_tools) + logging.info("Assigned task %s to agent %s, dispatching", current_task, agent) + current_task.set_running() + self.graph_store.insert_node(current_task) + + # TODO: accept and handle some sort of return value? Or just the final state of the task? + result = agent.invoke(current_task.as_dict()) + current_task.output = result + + logging.info("Task %s completed, marking as done", current_task) + current_task.set_done() + recipe.register_completed_task(current_task) + done_tasks.append(current_task) + + did_something = True + continue + + if not did_something: + logging.info("Nothing left to do, exiting") + return done_tasks + + def get_available_task_recipes(self) -> list[TaskRecipe]: + query = ( + "MATCH (downstream:{}) " + "WHERE NOT downstream.done " + "AND NOT EXISTS {{MATCH (upstream:{})-[:{}]->(downstream) " + "WHERE NOT upstream.done}} " + "RETURN downstream" + ).format( + TaskRecipe.NODE_CLASS.get_label(), + TaskRecipe.NODE_CLASS.get_label(), + TaskRecipe.TASK_RECIPE_IS_UPSTREAM_LABEL, + ) + available_task_recipe_nodes = self.graph_store.run_cypher_query( + query, container=TaskRecipe.NODE_CLASS + ) + return [ + recipe for recipe in self.task_recipes if recipe.node in available_task_recipe_nodes + ] + + # def _run_async(self): + # tasks = self.task_graph + # self.adispatch_next_batch() + # while self.futures: + # # TODO handle errors + # # TODO pass results to next task + # done, _ = concurrent.futures.wait( + # self.futures, return_when=concurrent.futures.FIRST_COMPLETED + # ) + # + # for future in done: + # exc = future.exception() + # if exc: + # raise exc + # + # task = future.mc_task + # logging.info(f"Finished task '{task.name}'") + # self.futures.remove(future) + # tasks.set_task_done(task) + # self.adispatch_next_batch() + # + # return tasks + + # def adispatch_next_batch(self): + # # TODO: refactor and rename + # next_ = self.task_graph.get_ready_tasks() + # for t in next_: + # self.task_graph.set_task_running(t) + # logging.info(f"Dispatching task '{t.name}'") + # future = self.thread_pool.submit( + # self.execute, + # t, + # True, + # ) + # self.futures.add(future) + # future.mc_task = t + + def get_extra_tools(self, task_recipe: TaskRecipe) -> list[MotleyTool]: # TODO: Smart tool selection goes here - # Add the agents as tools to each other for delegation - # later might want to get a bit fancier here to prevent endlessly-deep delegation - # TODO: do we want to auto-include the agents from the tasks in this? tools = [] - tools += self.tools - - if agent.delegation is True: - tools += [aa.as_tool() for aa in self.agents if aa != agent] - elif isinstance(agent.delegation, Iterable): - for aa in agent.delegation: - tools.append(aa.as_tool()) - elif agent.delegation is False: - pass - else: - raise ValueError( - f"Invalid delegation value: {agent.delegation}, must be bool or iterable of agents" - ) + tools += self.tools or [] + # tools += task_recipe.tools or [] return tools - -def spawn_agent(task: Task) -> MotleyAgentParent: - # TODO: Code to select agent from library, or auto-spawn one, goes here - raise NotImplementedError("For now, must explicitly assign an agent to each task") + def check_cyclical_dependencies(self): + pass # TODO diff --git a/motleycrew/storage/__init__.py b/motleycrew/storage/__init__.py index 518564ea..221bd963 100644 --- a/motleycrew/storage/__init__.py +++ b/motleycrew/storage/__init__.py @@ -1,3 +1,6 @@ +from .graph_node import MotleyGraphNode +from .graph_node import MotleyGraphNodeType + from .graph_store import MotleyGraphStore from .kuzu_graph_store import MotleyKuzuGraphStore diff --git a/motleycrew/storage/graph_node.py b/motleycrew/storage/graph_node.py new file mode 100644 index 00000000..460d14bf --- /dev/null +++ b/motleycrew/storage/graph_node.py @@ -0,0 +1,43 @@ +from typing import Optional, Any, TypeVar, TYPE_CHECKING +from pydantic import BaseModel + +if TYPE_CHECKING: + from motleycrew.storage import MotleyGraphStore + + +class MotleyGraphNode(BaseModel): + # Q: KuzuGraphNode a better name? Because def id is specific? + # A: No, I think _id attribute is pretty universal + __label__: Optional[str] = None + __graph_store__: Optional["MotleyGraphStore"] = None + + @property + def id(self) -> Optional[Any]: + return getattr(self, "_id", None) + + @property + def is_inserted(self) -> bool: + return self.id is not None + + @classmethod + def get_label(cls) -> str: + # Q: why not @property def label(cls) -> str: return cls.__label__ or cls.__name__ ? + # A: Because we want to be able to call this method without an instance + # and properties can't be class methods since Python 3.12 + if cls.__label__: + return cls.__label__ + return cls.__name__ + + def __setattr__(self, name, value): + super().__setattr__(name, value) + + if name not in self.model_fields: + # Q: Should we not raise an error here instead? + # A: No, there are technical attributes like __graph_store__ that are not in the model + return # Non-pydantic field => not in the DB + + if self.__graph_store__ and self.is_inserted: + self.__graph_store__.update_property(self, name) + + +MotleyGraphNodeType = TypeVar("MotleyGraphNodeType", bound=MotleyGraphNode) diff --git a/motleycrew/storage/graph_store.py b/motleycrew/storage/graph_store.py index 315cc24c..9318d4a2 100644 --- a/motleycrew/storage/graph_store.py +++ b/motleycrew/storage/graph_store.py @@ -1,38 +1,93 @@ from abc import ABC, abstractmethod -from typing import Optional, Any +from typing import Optional, Type +from motleycrew.storage import MotleyGraphNode, MotleyGraphNodeType class MotleyGraphStore(ABC): - node_table_name: str - rel_table_name: str + @abstractmethod + def check_node_exists_by_class_and_id( + self, node_class: Type[MotleyGraphNode], node_id: int + ) -> bool: + """ + Check if a node of given class with given id is present in the database. + """ + pass @abstractmethod - def check_entity_exists(self, entity_id: int) -> bool: + def check_node_exists(self, node: MotleyGraphNode) -> bool: + """ + Check if the given node is present in the database. + """ pass @abstractmethod - def get_entity(self, entity_id: int) -> Optional[dict]: + def check_relation_exists( + self, from_node: MotleyGraphNode, to_node: MotleyGraphNode, label: Optional[str] + ) -> bool: + """ + Check if a relation exists between two nodes with given label. + """ pass @abstractmethod - def create_entity(self, entity: dict) -> dict: - """Create a new entity and return it""" + def get_node_by_class_and_id( + self, node_class: Type[MotleyGraphNodeType], node_id: int + ) -> Optional[MotleyGraphNodeType]: + """ + Retrieve the node of given class with given id if it is present in the database. + Otherwise, return None. + """ pass @abstractmethod - def create_rel(self, from_id: int, to_id: int, predicate: str) -> None: + def insert_node(self, node: MotleyGraphNode): + """ + Insert a new node, populate its id and freeze it. + If node table or some columns do not exist, this method also creates them. + """ pass @abstractmethod - def delete_entity(self, entity_id: int) -> None: - """Delete a given entity and its relations""" + def create_relation( + self, from_node: MotleyGraphNode, to_node: MotleyGraphNode, label: str + ) -> None: + """ + Create a relation with given label between existing nodes. + If relation table does not exist, this method also creates them. + """ pass @abstractmethod - def set_property(self, entity_id: int, property_name: str, property_value: Any): + def upsert_triplet(self, from_node: MotleyGraphNode, to_node: MotleyGraphNode, label: str): + """ + Create a relation with given label between nodes, if such does not already exist. + If the nodes do not already exist, create them too. + This method also creates and/or updates all necessary tables. + """ pass @abstractmethod - def run_cypher_query(self, query: str, parameters: Optional[dict] = None) -> list[list]: - """Run a Cypher query and return the results in standard Python containers""" + def delete_node(self, node: MotleyGraphNode) -> None: + """ + Delete a given node and its relations. + """ + pass + + @abstractmethod + def update_property(self, node: MotleyGraphNode, property_name: str): + """ + Update a graph node's property with the corresponding value from the node object. + """ + pass + + def run_cypher_query( + self, + query: str, + parameters: Optional[dict] = None, + container: Optional[Type[MotleyGraphNodeType]] = None, + ) -> list[list | MotleyGraphNodeType]: + """ + Run a Cypher query and return the results. + If container class is provided, deserialize the results into objects of that class. + """ pass diff --git a/motleycrew/storage/kuzu_graph_store.py b/motleycrew/storage/kuzu_graph_store.py index 8477ec3e..c53166af 100644 --- a/motleycrew/storage/kuzu_graph_store.py +++ b/motleycrew/storage/kuzu_graph_store.py @@ -3,159 +3,489 @@ Kùzu graph store index. """ -from typing import Any, Dict, List, Optional +import logging +from time import sleep + +from typing import Any, Dict, List, Optional, Type, TypeVar import kuzu +from kuzu import PreparedStatement, QueryResult +import json from motleycrew.storage import MotleyGraphStore +from motleycrew.storage import MotleyGraphNode +from motleycrew.storage import MotleyGraphNodeType class MotleyKuzuGraphStore(MotleyGraphStore): - def __init__( - self, - database: Any, - node_table_schema: dict[str, str], - node_table_name: str = "entity", - rel_table_name: str = "links", - **kwargs: Any, - ) -> None: + ID_ATTR = "_id" + + JSON_CONTENT_PREFIX = "JSON__" + + PYTHON_TO_CYPHER_TYPES_MAPPING = { + int: "INT64", # TODO: enforce size when creating and updating nodes and relations + Optional[int]: "INT64", + str: "STRING", + Optional[str]: "STRING", + float: "DOUBLE", + Optional[float]: "DOUBLE", + bool: "BOOLEAN", + Optional[bool]: "BOOLEAN", + } + + def __init__(self, database: Any) -> None: self.database = database self.connection = kuzu.Connection(database) - self.node_table_schema = node_table_schema - self.node_table_name = node_table_name - self.rel_table_name = rel_table_name - self.init_schema() - - def init_schema(self) -> None: - """Initialize schema if the tables do not exist.""" - node_tables = self.connection._get_node_table_names() - if self.node_table_name not in node_tables: - node_table_schema_expr = ", ".join( - ["id SERIAL"] - + [f"{name} {datatype}" for name, datatype in self.node_table_schema.items()] - + ["PRIMARY KEY(id)"] + # Workaround for Kuzu requiring at least one relation table + # TODO: fix, https://github.com/kuzudb/kuzu/issues/3488 + self.ensure_node_table(MotleyGraphNode) + self.ensure_relation_table(MotleyGraphNode, MotleyGraphNode, "dummy") + + def _execute_query( + self, query: str | PreparedStatement, parameters: Optional[dict[str, Any]] = None + ) -> QueryResult: + """ + Execute a query, logging it for debugging purposes + """ + logging.debug("Executing query: %s", query) + if parameters: + logging.debug("with parameters: %s", parameters) + + # TODO: retries? + return self.connection.execute(query=query, parameters=parameters) + + def _check_node_table_exists(self, label: str): + return label in self.connection._get_node_table_names() + + def _check_rel_table_exists( + self, + from_label: Optional[str] = None, + to_label: Optional[str] = None, + rel_label: Optional[str] = None, + ): + for row in self.connection._get_rel_table_names(): + if ( + (rel_label is None or row["name"] == rel_label) + and (from_label is None or row["src"] == from_label) + and (to_label is None or row["dst"] == to_label) + ): + return True + return False + + def _get_node_property_names(self, label: str): + return self.connection._get_node_property_names(table_name=label) + + def ensure_node_table(self, node_class: Type[MotleyGraphNode]) -> str: + """ + Create a table for storing nodes of that class if such does not already exist. + If it does exist, create all missing columns. + Return the table name. + """ + table_name = node_class.get_label() + if not self._check_node_table_exists(table_name): + logging.info("Node table %s does not exist in the database, creating", table_name) + self._execute_query( + "CREATE NODE TABLE {} (id SERIAL, PRIMARY KEY(id))".format(table_name) + ) + + # Create missing property columns + existing_property_names = self._get_node_property_names(node_class.get_label()) + for field_name, field in node_class.model_fields.items(): + if field_name not in existing_property_names: + logging.info( + "Property %s not present in table for label %s, creating", + field_name, + node_class.get_label(), + ) + cypher_type, is_json = ( + MotleyKuzuGraphStore._get_cypher_type_and_is_json_by_python_type_annotation( + field.annotation + ) + ) + + self._execute_query( + "ALTER TABLE {} ADD {} {}".format(table_name, field_name, cypher_type) + ) + return table_name + + def ensure_relation_table( + self, from_class: Type[MotleyGraphNode], to_class: Type[MotleyGraphNode], label: str + ): + """ + Create a table for storing relations from from_node-like nodes to to_node-like nodes, + if such does not already exist. + """ + if not self._check_rel_table_exists( + from_label=from_class.get_label(), to_label=to_class.get_label(), rel_label=label + ): + logging.info( + "Relation table %s from %s to %s does not exist in the database, creating", + label, + from_class.get_label(), + to_class.get_label(), ) - self.connection.execute("CREATE NODE TABLE {} ({})".format(self.node_table_name, node_table_schema_expr)) - - rel_tables = self.connection._get_rel_table_names() - rel_tables = [rel_table["name"] for rel_table in rel_tables] - if self.rel_table_name not in rel_tables: - self.connection.execute( - "CREATE REL TABLE {} (FROM {} TO {}, predicate STRING)".format( - self.rel_table_name, self.node_table_name, self.node_table_name + + self._execute_query( + "CREATE REL TABLE {} (FROM {} TO {})".format( + label, from_class.get_label(), to_class.get_label() ) ) - @property - def client(self) -> Any: - return self.connection + def check_node_exists_by_class_and_id( + self, node_class: Type[MotleyGraphNode], node_id: int + ) -> bool: + """ + Check if a node of given class with given id is present in the database. + """ + if not self._check_node_table_exists(node_class.get_label()): + return False - def check_entity_exists(self, entity_id: int) -> bool: - is_exists_result = self.connection.execute( - "MATCH (n:%s) WHERE n.id = $entity_id RETURN n.id" % self.node_table_name, - {"entity_id": entity_id}, + is_exists_result = self._execute_query( + "MATCH (n:{}) WHERE n.id = $node_id RETURN n.id".format(node_class.get_label()), + {"node_id": node_id}, ) return is_exists_result.has_next() - def get_entity(self, entity_id: int) -> Optional[dict]: - query = """ - MATCH (n1:%s) - WHERE n1.id = $entity_id - RETURN n1; + def check_node_exists(self, node: MotleyGraphNode) -> bool: """ - prepared_statement = self.connection.prepare(query % self.node_table_name) - query_result = self.connection.execute(prepared_statement, {"entity_id": entity_id}) + Check if the given node is present in the database. + """ + if node.id is None: + return False # for cases when id attribute is not set => node does not exist + + return self.check_node_exists_by_class_and_id(node_class=node.__class__, node_id=node.id) + + def check_relation_exists( + self, from_node: MotleyGraphNode, to_node: MotleyGraphNode, label: Optional[str] = None + ) -> bool: + """ + Check if a relation exists between two nodes with given label. + """ + if from_node.id is None or to_node.id is None: + return False + + if ( + not self._check_node_table_exists(from_node.get_label()) + or not self._check_node_table_exists(to_node.get_label()) + or not self._check_rel_table_exists( + from_label=from_node.get_label(), to_label=to_node.get_label(), rel_label=label + ) + ): + return False + + query = ( + "MATCH (n1:{})-[r{}]->(n2:{}) " + "WHERE n1.id = $from_node_id AND n2.id = $to_node_id " + "RETURN r".format( + from_node.get_label(), + (":" + label) if label else "", + to_node.get_label(), + ) + ) + parameters = { + "from_node_id": from_node.id, + "to_node_id": to_node.id, + } + + is_exists_result = self._execute_query(query=query, parameters=parameters) + return is_exists_result.has_next() + + def get_node_by_class_and_id( + self, node_class: Type[MotleyGraphNodeType], node_id: int + ) -> Optional[MotleyGraphNodeType]: + """ + Retrieve the node of given class with given id if it is present in the database. + Otherwise, return None. + """ + if not self._check_node_table_exists(node_class.get_label()): + return None + + query = """ + MATCH (n:{}) + WHERE n.id = $node_id + RETURN n; + """.format( + node_class.get_label() + ) + query_result = self._execute_query(query, {"node_id": node_id}) if query_result.has_next(): row = query_result.get_next() - item = row[0] - return item + return self._deserialize_node(node_dict=row[0], node_class=node_class) - @staticmethod - def _dict_to_cypher_mapping_with_parameters(entity: dict) -> tuple[str, dict]: - parameters = {} - - cypher_mapping = "{" - for key, value in entity.items(): - cypher_mapping += f"{key}: ${key}, " - parameters[key] = value + def insert_node(self, node: MotleyGraphNodeType) -> MotleyGraphNodeType: + """ + Insert a new node and populate its id. + If node table or some columns do not exist, this method also creates them. + """ + assert node.id is None, "Entity has its id set, looks like it is already in the DB" - cypher_mapping = cypher_mapping.rstrip(", ") + "}" - return cypher_mapping, parameters + self.ensure_node_table(type(node)) + logging.info("Inserting new node with label %s: %s", node.get_label(), node) - def create_entity(self, entity: dict) -> dict: - """Create a new entity and return its id""" - cypher_mapping, parameters = MotleyKuzuGraphStore._dict_to_cypher_mapping_with_parameters(entity) - create_result = self.connection.execute( - "CREATE (n:{} {}) RETURN n".format(self.node_table_name, cypher_mapping), parameters=parameters + cypher_mapping, parameters = MotleyKuzuGraphStore._node_to_cypher_mapping_with_parameters( + node + ) + create_result = self._execute_query( + "CREATE (n:{} {}) RETURN n".format(node.get_label(), cypher_mapping), + parameters=parameters, ) assert create_result.has_next() - return create_result.get_next()[0] + logging.info("Node created OK") + + created_object = create_result.get_next()[0] + created_object_id = created_object.get("id") + assert created_object_id is not None, "BUG: created object ID was not returned: {}".format( + created_object + ) + + MotleyKuzuGraphStore._set_node_id(node=node, node_id=created_object_id) + node.__graph_store__ = self + return node - def create_rel(self, from_id: int, to_id: int, predicate: str) -> None: - self.connection.execute( + def create_relation( + self, from_node: MotleyGraphNode, to_node: MotleyGraphNode, label: str + ) -> None: + """ + Create a relation between existing nodes. + If relation table does not exist, this method also creates them. + """ + assert self.check_node_exists(from_node), ( + "From-node is not present in the database, " + "consider using upsert_triplet() for such cases" + ) + assert self.check_node_exists(to_node), ( + "To-node is not present in the database, " + "consider using upsert_triplet() for such cases" + ) + + self.ensure_relation_table(from_class=type(from_node), to_class=type(to_node), label=label) + + logging.info( + "Creating relation %s from %s:%s to %s:%s", + label, + from_node.get_label(), + from_node.id, + to_node.get_label(), + to_node.id, + ) + + create_result = self._execute_query( ( "MATCH (n1:{}), (n2:{}) WHERE n1.id = $from_id AND n2.id = $to_id " - "CREATE (n1)-[r:{} {{predicate: $predicate}}]->(n2)" - ).format(self.node_table_name, self.node_table_name, self.rel_table_name), + "CREATE (n1)-[r:{}]->(n2) " + "RETURN r" + ).format(from_node.get_label(), to_node.get_label(), label), { - "from_id": from_id, - "to_id": to_id, - "predicate": predicate, + "from_id": from_node.id, + "to_id": to_node.id, }, ) + assert create_result.has_next() + logging.info("Relation created OK") + + def upsert_triplet(self, from_node: MotleyGraphNode, to_node: MotleyGraphNode, label: str): + """ + Create a relation with a given label between nodes, if such does not already exist. + If the nodes do not already exist, create them too. + This method also creates and/or updates all necessary tables. + """ + if not self.check_node_exists(from_node): + logging.info("Node %s does not exist, creating", from_node) + self.insert_node(from_node) + + if not self.check_node_exists(to_node): + logging.info("Node %s does not exist, creating", to_node) + self.insert_node(to_node) + + if not self.check_relation_exists(from_node=from_node, to_node=to_node, label=label): + logging.info("Relation from %s to %s does not exist, creating", from_node, to_node) + self.create_relation(from_node=from_node, to_node=to_node, label=label) - def delete_entity(self, entity_id: int) -> None: - """Delete a given entity and its relations""" + def delete_node(self, node: MotleyGraphNode) -> None: + """ + Delete a given node and its relations. + """ + + def inner_delete_relations(node_label: str, node_id: int) -> None: + if not self.connection._get_rel_table_names(): + # Avoid Kuzu error when no relation tables exist in the database + return - def delete_rels(connection: Any, entity_id: int) -> None: # Undirected relation removal is not supported for some reason - connection.execute( - "MATCH (n1:{})-[r:{}]->(n2:{}) WHERE n1.id = $entity_id DELETE r".format( - self.node_table_name, self.rel_table_name, self.node_table_name - ), - {"entity_id": entity_id}, - ) - connection.execute( - "MATCH (n1:{})<-[r:{}]-(n2:{}) WHERE n1.id = $entity_id DELETE r".format( - self.node_table_name, self.rel_table_name, self.node_table_name - ), - {"entity_id": entity_id}, - ) + if self._check_rel_table_exists(from_label=node_label): + self._execute_query( + "MATCH (n:{})-[r]->() WHERE n.id = $node_id DELETE r".format(node_label), + {"node_id": node_id}, + ) + if self._check_rel_table_exists(to_label=node_label): + self._execute_query( + "MATCH (n:{})<-[r]-() WHERE n.id = $node_id DELETE r".format(node_label), + {"node_id": node_id}, + ) - def delete_entity(connection: Any, entity_id: int) -> None: - connection.execute( - "MATCH (n:%s) WHERE n.id = $entity_id DELETE n" % self.node_table_name, - {"entity_id": entity_id}, + def inner_delete_node(node_label: str, node_id: int) -> None: + self._execute_query( + "MATCH (n:{}) WHERE n.id = $node_id DELETE n".format(node_label), + {"node_id": node_id}, ) - delete_rels(self.connection, entity_id) - delete_entity(self.connection, entity_id) + assert self.check_node_exists(node), "Cannot delete nonexistent node: {}".format(node) + + inner_delete_relations(node_label=node.get_label(), node_id=node.id) + inner_delete_node(node_label=node.get_label(), node_id=node.id) + + MotleyKuzuGraphStore._set_node_id(node, None) + + def update_property(self, node: MotleyGraphNode, property_name: str) -> MotleyGraphNode: + """ + Update a graph node's property with the corresponding value from the node object. + """ + property_value = getattr(node, property_name) + if property_value is None: + # TODO: remove after updating Kuzu to v0.3.3 (https://github.com/kuzudb/kuzu/pull/3098) + raise Exception("Kuzu does not support NoneType parameters for properties for now") + + existing_property_names = self._get_node_property_names(node.get_label()) + + assert property_name in node.model_fields, "No such field in node model {}: {}".format( + node.__class__.__name__, property_name + ) + + assert self.check_node_exists(node) + assert property_name in existing_property_names, "No such field in DB table {}: {}".format( + node.get_label(), property_name + ) + + _, is_json = MotleyKuzuGraphStore._get_cypher_type_and_is_json_by_python_type_annotation( + node.model_fields[property_name].annotation + ) + + db_property_name = property_name + if is_json: + db_property_value = MotleyKuzuGraphStore.JSON_CONTENT_PREFIX + json.dumps( + property_value + ) + else: + db_property_value = property_value - def set_property(self, entity_id: int, property_name: str, property_value: Any): query = """ - MATCH (n1:{}) - WHERE n1.id = $entity_id - SET n1.{} = $property_value RETURN n1; - """ - prepared_statement = self.connection.prepare(query.format(self.node_table_name, property_name)) - self.connection.execute(prepared_statement, {"entity_id": entity_id, "property_value": property_value}) - - def run_cypher_query(self, query: str, parameters: Optional[dict] = None) -> list[list]: - """Run a Cypher query and return the results""" - query_result = self.connection.execute(query=query, parameters=parameters) + MATCH (n:{}) + WHERE n.id = $node_id + SET n.{} = $property_value RETURN n; + """.format( + node.get_label(), db_property_name + ) + + query_result = self._execute_query( + query, + {"node_id": node.id, "property_value": db_property_value}, + ) + assert query_result.has_next() + row = query_result.get_next() + node_dict = row[0] + assert node_dict[db_property_name] == db_property_value + + return node + + def run_cypher_query( + self, + query: str, + parameters: Optional[dict] = None, + container: Optional[Type[MotleyGraphNodeType]] = None, + ) -> list[list | MotleyGraphNodeType]: + """ + Run a Cypher query and return the results. + If container class is provided, deserialize the results into objects of that class. + """ + query_result = self._execute_query(query=query, parameters=parameters) retval = [] while query_result.has_next(): - retval.append(query_result.get_next()) + row = query_result.get_next() + if container is not None: + assert len(row) == 1, "Expected single column result for deserialization" + retval.append(self._deserialize_node(node_dict=row[0], node_class=container)) + else: + retval.append(row) return retval + def _deserialize_node( + self, node_dict: dict, node_class: Type[MotleyGraphNode] + ) -> MotleyGraphNode: + for field_name, value in node_dict.copy().items(): + if isinstance(value, str) and value.startswith( + MotleyKuzuGraphStore.JSON_CONTENT_PREFIX + ): + logging.debug( + "Value for field %s is marked as JSON, attempting to deserialize: %s", + field_name, + value, + ) + node_dict[field_name] = json.loads( + value[len(MotleyKuzuGraphStore.JSON_CONTENT_PREFIX) :] + ) + + node = node_class.parse_obj(node_dict) + node._id = node_dict["id"] + node.__graph_store__ = self + if "id" in node_dict: + MotleyKuzuGraphStore._set_node_id(node, node_dict["id"]) + return node + + @staticmethod + def _set_node_id(node: MotleyGraphNode, node_id: Optional[int]) -> None: + setattr(node, MotleyKuzuGraphStore.ID_ATTR, node_id) + + @staticmethod + def _node_to_cypher_mapping_with_parameters(node: MotleyGraphNode) -> tuple[str, dict]: + node_dict = node.model_dump() + + parameters = {} + + cypher_mapping = "{" + for field_name, value in node_dict.items(): + assert field_name != "id", "id field is reserved for node id" + if value is None: + # TODO: remove after updating Kuzu to v0.3.3 + # (https://github.com/kuzudb/kuzu/pull/3098) + continue + + _, is_json = ( + MotleyKuzuGraphStore._get_cypher_type_and_is_json_by_python_type_annotation( + node.model_fields[field_name].annotation + ) + ) + if is_json and value is not None: + value = json.dumps(value) + value = MotleyKuzuGraphStore.JSON_CONTENT_PREFIX + value + + cypher_mapping += f"{field_name}: ${field_name}, " + parameters[field_name] = value + + cypher_mapping = cypher_mapping.rstrip(", ") + "}" + return cypher_mapping, parameters + + @staticmethod + def _get_cypher_type_and_is_json_by_python_type_annotation( + annotation: Type, + ) -> tuple[str, bool]: + """ + Determine suitable Cypher data type by Python/Pydantic type annotation, + and whether the data should be stored in JSON-serialized strings. + """ + cypher_type = MotleyKuzuGraphStore.PYTHON_TO_CYPHER_TYPES_MAPPING.get(annotation) + if not cypher_type: + logging.warning( + "No known Cypher type matching annotation %s, will use JSON string", + annotation, + ) + return MotleyKuzuGraphStore.PYTHON_TO_CYPHER_TYPES_MAPPING[str], True + return cypher_type, False + @classmethod def from_persist_dir( cls, persist_dir: str, - node_table_schema: dict[str, str], - node_table_name: str = "entity", - rel_table_name: str = "links", ) -> "MotleyKuzuGraphStore": """Load from persist dir.""" try: @@ -163,7 +493,7 @@ def from_persist_dir( except ImportError: raise ImportError("Please install kuzu: pip install kuzu") database = kuzu.Database(persist_dir) - return cls(database, node_table_schema, node_table_name, rel_table_name) + return cls(database) @classmethod def from_dict(cls, config_dict: Dict[str, Any]) -> "MotleyKuzuGraphStore": @@ -181,36 +511,43 @@ def from_dict(cls, config_dict: Dict[str, Any]) -> "MotleyKuzuGraphStore": if __name__ == "__main__": from pathlib import Path import shutil - import json here = Path(__file__).parent db_path = here / "test1" shutil.rmtree(db_path, ignore_errors=True) db = kuzu.Database(str(db_path)) - graph_store = MotleyKuzuGraphStore( - db, node_table_schema={"question": "STRING", "answer": "STRING", "context": "STRING"} - ) - - IS_SUBQUESTION_PREDICATE = "is_subquestion" - - q1_id = graph_store.create_entity({"question": "q1"})["id"] - assert graph_store.get_entity(q1_id)["question"] == "q1" - - q2_id = graph_store.create_entity({"question": "q2"})["id"] - q3_id = graph_store.create_entity({"question": "q3"})["id"] - q4_id = graph_store.create_entity({"question": "q4"})["id"] - graph_store.create_rel(q1_id, q2_id, IS_SUBQUESTION_PREDICATE) - graph_store.create_rel(q1_id, q3_id, IS_SUBQUESTION_PREDICATE) - graph_store.create_rel(q3_id, q4_id, IS_SUBQUESTION_PREDICATE) - - graph_store.delete_entity(q4_id) - assert graph_store.get_entity(q4_id) is None - - graph_store.set_property(q2_id, property_name="answer", property_value="a2") - graph_store.set_property(q3_id, property_name="context", property_value=json.dumps(["c3_1", "c3_2"])) - - assert graph_store.get_entity(q2_id)["answer"] == "a2" - assert json.loads(graph_store.get_entity(q3_id)["context"]) == ["c3_1", "c3_2"] + graph_store = MotleyKuzuGraphStore(db) + + class Question(MotleyGraphNode): + question: str + answer: Optional[str] = None + context: Optional[List[str]] = None + + q1 = Question(question="q1") + graph_store.insert_node(q1) + assert getattr(q1, "_id", None) is not None + q1_id = q1._id + + assert graph_store.check_node_exists(q1) + assert graph_store.check_node_exists_by_class_and_id(node_class=Question, node_id=q1_id) + + q2 = Question(question="q2", answer="a2") + graph_store.upsert_triplet(from_node=q1, to_node=q2, label="p") + assert getattr(q2, "_id", None) is not None + q2_id = q2._id + + assert graph_store.check_relation_exists(from_node=q1, to_node=q2, label="p") + assert not graph_store.check_relation_exists(from_node=q2, to_node=q1) + + graph_store.delete_node(q1) + assert not graph_store.check_node_exists(q1) + assert graph_store.get_node_by_class_and_id(node_class=Question, node_id=q1_id) is None + + q2.context = ["abc", "def"] + assert graph_store.get_node_by_class_and_id(node_class=Question, node_id=q2_id).context == [ + "abc", + "def", + ] print(f"docker run -p 8000:8000 -v {db_path}:/database --rm kuzudb/explorer: latest") print("MATCH (A)-[r]->(B) RETURN *;") diff --git a/motleycrew/tasks/__init__.py b/motleycrew/tasks/__init__.py index 19d8c31c..c2653744 100644 --- a/motleycrew/tasks/__init__.py +++ b/motleycrew/tasks/__init__.py @@ -1,4 +1,6 @@ -from motleycrew.tasks.graph import TaskGraph -from motleycrew.tasks.task import Task, TaskDependencyCycleError +from motleycrew.tasks.task import Task +from motleycrew.tasks.task import TaskType +from motleycrew.tasks.task_recipe import TaskRecipe +from motleycrew.tasks.simple import SimpleTaskRecipe -__all__ = ["Task", "TaskDependencyCycleError", "TaskGraph"] +__all__ = ["Task", "TaskType", "TaskRecipe", "SimpleTaskRecipe"] diff --git a/motleycrew/tasks/graph.py b/motleycrew/tasks/graph.py deleted file mode 100644 index 29a11aad..00000000 --- a/motleycrew/tasks/graph.py +++ /dev/null @@ -1,39 +0,0 @@ -from typing import TYPE_CHECKING, List, Set - -if TYPE_CHECKING: - from motleycrew.tasks import Task - - -class TaskGraph: - def __init__(self): - self._pending: Set[Task] = set() - self._running: Set[Task] = set() - self._done: Set[Task] = set() - - def add_task(self, task: "Task"): - self._pending.add(task) - - def set_task_running(self, task: "Task"): - self._pending.remove(task) - self._running.add(task) - - def set_task_done(self, task: "Task"): - self._running.remove(task) - self._done.add(task) - task.done = True - - def pause_running_task(self, task: "Task"): - self._running.remove(task) - self._pending.add(task) - - def get_ready_tasks(self) -> List["Task"]: - return [t for t in self._pending if t.is_ready()] - - def check_cyclical_dependencies(self): - pass - - def num_tasks_remaining(self): - return len(self._pending) + len(self._running) - - def num_tasks_pending(self): - return len(self._pending) diff --git a/motleycrew/tasks/simple.py b/motleycrew/tasks/simple.py new file mode 100644 index 00000000..8d7a5867 --- /dev/null +++ b/motleycrew/tasks/simple.py @@ -0,0 +1,122 @@ +from __future__ import annotations +import logging +from typing import TYPE_CHECKING, Any, Sequence, List, Optional + +from motleycrew.tasks.task_recipe import TaskRecipe +from motleycrew.tasks import Task + + +from motleycrew.agent.parent import MotleyAgentAbstractParent +from motleycrew.tool import MotleyTool + +if TYPE_CHECKING: + pass + + +PROMPT_TEMPLATE_WITH_DEPS = """ +{description} + +You must use the results of these upstream tasks: + +{upstream_results_section} +""" + + +def compose_simple_task_prompt_with_dependencies( + description: str, upstream_tasks: List[Task], default_task_name: str = "Unnamed task" +) -> str: + upstream_results = [] + for task in upstream_tasks: + if not task.output: + continue + + task_name = getattr(task, "name", default_task_name) + upstream_results.append(f"##{task_name}\n" + "\n".join(str(out) for out in task.output)) + + if not upstream_results: + return description + + upstream_results_section = "\n\n".join(upstream_results) + return PROMPT_TEMPLATE_WITH_DEPS.format( + description=description, + upstream_results_section=upstream_results_section, + ) + + +class SimpleTask(Task): + name: str + prompt: str + message_history: List[str] = [] + + +class SimpleTaskRecipe(TaskRecipe): + def __init__( + self, + description: str, + name: str | None = None, + agent: MotleyAgentAbstractParent | None = None, + tools: Sequence[MotleyTool] | None = None, + documents: Sequence[Any] | None = None, + creator_name: str | None = None, + return_to_creator: bool = False, + ): + super().__init__(name or description) + self.description = description + self.agent = agent # to be auto-assigned at crew creation if missing? + self.tools = tools or [] + # should tasks own agents or should agents own tasks? + self.documents = documents # to be passed to an auto-init'd retrieval, later on + self.creator_name = creator_name or "Human" + self.return_to_creator = ( + return_to_creator # for orchestrator to know to send back to creator + ) + self.output = None # to be filled in by the agent(s) once the task is complete + + # This will be set by MotleyCrew.register_task + self.crew = None + + def register_completed_task(self, task: SimpleTask) -> None: + assert isinstance(task, SimpleTask) + assert task.done + + self.output = task.output + self.set_done() + + def identify_candidates(self) -> List[SimpleTask]: + if self.done: + logging.info("Task %s is already done", self) + return [] + + upstream_task_recipes = self.get_upstream_task_recipes() + if not all(recipe.done for recipe in upstream_task_recipes): + return [] + + upstream_tasks = [task for recipe in upstream_task_recipes for task in recipe.get_tasks()] + return [ + SimpleTask( + name=self.name, + prompt=compose_simple_task_prompt_with_dependencies( + self.description, upstream_tasks + ), + ) + ] + + def get_worker(self, tools: Optional[List[MotleyTool]]) -> MotleyAgentAbstractParent: + if self.crew is None: + raise ValueError("Task is not associated with a crew") + if self.agent is None: + raise ValueError("Task is not associated with an agent") + + if hasattr(self.agent, "is_materialized") and self.agent.is_materialized and tools: + logging.warning( + "Agent %s is already materialized, can't add extra tools %s", self.agent, tools + ) + + if hasattr(self.agent, "add_tools") and tools: + logging.info("Adding tools %s to agent %s", tools, self.agent) + self.agent.add_tools(tools) + + # TODO: that's a pretty big assumption on agent structure. Necessary? + self.agent.crew = self.crew + + return self.agent diff --git a/motleycrew/tasks/task.py b/motleycrew/tasks/task.py index 93d39e44..8565fe53 100644 --- a/motleycrew/tasks/task.py +++ b/motleycrew/tasks/task.py @@ -1,108 +1,49 @@ from __future__ import annotations -from typing import TYPE_CHECKING, Any, Sequence, Set - -from motleycrew.agent.parent import MotleyAgentAbstractParent - -if TYPE_CHECKING: - from motleycrew import MotleyCrew - -PROMPT_TEMPLATE_WITH_DEPS = """ -{description} - -You must use the results of these upstream tasks: - -{upstream_results_section} -""" - - -class TaskDependencyCycleError(Exception): - """Raised when a task is set to depend on itself""" - - -class Task: - def __init__( - self, - description: str, - name: str, - crew: MotleyCrew, - agent: MotleyAgentAbstractParent | None = None, - documents: Sequence[Any] | None = None, - creator_name: str | None = None, - return_to_creator: bool = False, - ): - self.name = name # does it really need one? Where does it get used? - self.description = description - self.crew = crew - self.agent = agent # to be auto-assigned at crew creation if missing? - # should tasks own agents or should agents own tasks? - self.documents = documents # to be passed to an auto-init'd retrieval, later on - self.creator_name = creator_name or "Human" - self.return_to_creator = ( - return_to_creator # for orchestrator to know to send back to creator - ) - self.message_history = [] # Useful when task is passed around between agents - self.outputs = [] # to be filled in by the agent(s) once the task is complete - self.used_tools = 0 # a hack for CrewAI compatibility - - self.done: bool = False - - self.upstream_tasks: list[Task] = list() - self.downstream_tasks: list[Task] = list() - - self.crew.add_task(self) - - def prompt(self) -> str: - """ - For compatibility with crewai.Agent.execute_task - :return: - """ - if not self.upstream_tasks: - return self.description - - # TODO include the rest of the outputs list - upstream_results = [f"##{t.name}\n{t.outputs[-1]}" for t in self.upstream_tasks] - upstream_results_section = "\n\n".join(upstream_results) - return PROMPT_TEMPLATE_WITH_DEPS.format( - description=self.description, - upstream_results_section=upstream_results_section, - ) - - def increment_tools_errors(self) -> None: - """ - For compatibility with crewai.Agent.execute_task - It is called when an exception is raised in the tool, so for now we just re-raise it here - TODO: do we want to handle tool errors in future like CrewAI handles them? - :return: - """ - raise - - def is_ready(self) -> bool: - return not self.done and all(t.done for t in self.upstream_tasks) - - def set_upstream(self, task: Task) -> Task: - if task is self: - raise TaskDependencyCycleError(f"Task {task.name} can not depend on itself") - - if task not in self.upstream_tasks: - self.upstream_tasks.append(task) - if self not in task.downstream_tasks: - task.downstream_tasks.append(self) - - return self - - def __rshift__(self, other: Task | Sequence[Task]) -> Task: - if isinstance(other, Task): - tasks = {other} - else: - tasks = other - - for task in tasks: - task.set_upstream(self) - - return self - - def __rrshift__(self, other: Sequence[Task]) -> Sequence[Task]: - for task in other: - self.set_upstream(task) - return other +from abc import ABC +from typing import Optional, Any, TypeVar + +from motleycrew.common import TaskStatus +from motleycrew.storage import MotleyGraphNode + + +class Task(MotleyGraphNode, ABC): + status: str = TaskStatus.PENDING + output: Optional[Any] = None + + def __repr__(self) -> str: + return f"Task(status={self.status})" + + def __str__(self) -> str: + return self.__repr__() + + def __eq__(self, other: Task): + return self.id is not None and self.get_label() == other.get_label and self.id == other.id + + @property + def pending(self): + return self.status == TaskStatus.PENDING + + @property + def running(self): + return self.status == TaskStatus.RUNNING + + @property + def done(self): + return self.status == TaskStatus.DONE + + def set_pending(self): + self.status = TaskStatus.PENDING + + def set_running(self): + self.status = TaskStatus.RUNNING + + def set_done(self): + self.status = TaskStatus.DONE + + def as_dict(self): + """Represent the task as a dictionary for passing to invoke() methods of runnables.""" + return dict(self) + + +TaskType = TypeVar("TaskType", bound=Task) diff --git a/motleycrew/tasks/task_recipe.py b/motleycrew/tasks/task_recipe.py new file mode 100644 index 00000000..6e891afd --- /dev/null +++ b/motleycrew/tasks/task_recipe.py @@ -0,0 +1,150 @@ +from __future__ import annotations + +from abc import ABC, abstractmethod +from typing import Optional, Sequence, List, Type, TypeVar, Generic, TYPE_CHECKING + +from langchain_core.runnables import Runnable +from motleycrew.common.exceptions import TaskDependencyCycleError +from motleycrew.storage import MotleyGraphStore, MotleyGraphNode +from motleycrew.tasks import Task, TaskType +from motleycrew.tool import MotleyTool + +if TYPE_CHECKING: + from motleycrew.crew import MotleyCrew + + +class TaskRecipeNode(MotleyGraphNode): + __label__ = "TaskRecipeNode" + name: str + done: bool = False + + def __eq__(self, other): + return self.id is not None and self.get_label() == other.get_label() and self.id == other.id + + +TaskRecipeNodeType = TypeVar("TaskRecipeNodeType", bound=TaskRecipeNode) + + +class TaskRecipe(ABC, Generic[TaskType]): + NODE_CLASS: Type[TaskRecipeNodeType] = TaskRecipeNode + TASK_CLASS: Type[TaskType] = Task + TASK_RECIPE_IS_UPSTREAM_LABEL = "task_recipe_is_upstream" + TASK_BELONGS_LABEL = "task_belongs" + + def __init__(self, name: str, crew: Optional[MotleyCrew] = None): + self.name = name + self.done = False + self.node = self.NODE_CLASS(name=name, done=self.done) + self.crew = crew + if crew is not None: + crew.register_task_recipes([self]) + + @property + def graph_store(self) -> MotleyGraphStore: + if self.crew is None: + raise ValueError("TaskRecipe must be registered with a crew for accessing graph store") + return self.crew.graph_store + + def __repr__(self) -> str: + return f"{self.__class__.__name__}(name={self.name}, done={self.done})" + + def __str__(self) -> str: + return self.__repr__() + + def set_upstream(self, task_recipe: TaskRecipe) -> TaskRecipe: + if self.crew is None or task_recipe.crew is None: + raise ValueError("Both tasks must be registered with a crew") + + if task_recipe is self: + raise TaskDependencyCycleError(f"Task {self.name} can not depend on itself") + + self.crew.add_dependency(upstream=task_recipe, downstream=self) + + return self + + def __rshift__(self, other: TaskRecipe | Sequence[TaskRecipe]) -> TaskRecipe: + if isinstance(other, TaskRecipe): + tasks = {other} + else: + tasks = other + + for task in tasks: + task.set_upstream(self) + + return self + + def __rrshift__(self, other: Sequence[TaskRecipe]) -> Sequence[TaskRecipe]: + for task in other: + self.set_upstream(task) + return other + + def get_tasks(self) -> List[TaskType]: + assert ( + self.crew is not None + ), "TaskRecipe must be registered with a crew for accessing tasks" + + query = "MATCH (task)-[{}]->(recipe:{}) WHERE recipe.id = $self_id RETURN task".format( + self.TASK_BELONGS_LABEL, + self.NODE_CLASS.get_label(), + ) + tasks = self.crew.graph_store.run_cypher_query( + query, parameters={"self_id": self.node.id}, container=self.TASK_CLASS + ) + return tasks + + def get_upstream_task_recipes(self) -> List[TaskRecipe]: + assert ( + self.crew is not None and self.node.is_inserted + ), "TaskRecipe must be registered with a crew for accessing upstream tasks" + + query = ( + "MATCH (upstream)-[:{}]->(downstream:{}) " + "WHERE downstream.id = $self_id " + "RETURN upstream" + ).format( + self.TASK_RECIPE_IS_UPSTREAM_LABEL, + self.NODE_CLASS.get_label(), + ) + upstream_task_recipe_nodes = self.crew.graph_store.run_cypher_query( + query, parameters={"self_id": self.node.id}, container=self.NODE_CLASS + ) + return [ + recipe for recipe in self.crew.task_recipes if recipe.node in upstream_task_recipe_nodes + ] + + def get_downstream_task_recipes(self) -> List[TaskRecipe]: + assert ( + self.crew is not None and self.node.is_inserted + ), "TaskRecipe must be registered with a crew for accessing upstream tasks" + + query = ( + "MATCH (upstream:{})-[:{}]->(downstream) " + "WHERE upstream.id = $self_id " + "RETURN downstream" + ).format( + self.NODE_CLASS.get_label(), + self.TASK_RECIPE_IS_UPSTREAM_LABEL, + ) + downstream_task_recipe_nodes = self.crew.graph_store.run_cypher_query( + query, parameters={"self_id": self.node.id}, container=self.NODE_CLASS + ) + return [ + recipe + for recipe in self.crew.task_recipes + if recipe.node in downstream_task_recipe_nodes + ] + + def set_done(self, value: bool = True): + self.done = value + self.node.done = value + + def register_completed_task(self, task: TaskType) -> None: + pass + + @abstractmethod + def identify_candidates(self) -> List[TaskType]: + pass + + @abstractmethod + def get_worker(self, tools: Optional[List[MotleyTool]]) -> Runnable: + pass diff --git a/motleycrew/tool/tool.py b/motleycrew/tool/tool.py index d1f4891f..551b3619 100644 --- a/motleycrew/tool/tool.py +++ b/motleycrew/tool/tool.py @@ -4,6 +4,7 @@ from llama_index.core.tools import BaseTool as LlamaIndex__BaseTool from llama_index.core.tools import FunctionTool as LlamaIndex__FunctionTool +from motleycrew.agent.parent import MotleyAgentAbstractParent def normalize_input(args, kwargs): @@ -18,12 +19,13 @@ class MotleyTool: Base tool class compatible with MotleyAgents. It is a wrapper for LangChain's BaseTool, containing all necessary adapters and converters. """ + def __init__(self, tool: BaseTool): self.tool = tool @property def name(self): - #TODO: do we really want to make a thin wrapper in this fashion? + # TODO: do we really want to make a thin wrapper in this fashion? return self.tool.name def invoke(self, *args, **kwargs): @@ -46,8 +48,12 @@ def from_supported_tool(tool: Union["MotleyTool", BaseTool, LlamaIndex__BaseTool return MotleyTool.from_langchain_tool(tool) elif isinstance(tool, LlamaIndex__BaseTool): return MotleyTool.from_llama_index_tool(tool) + elif isinstance(tool, MotleyAgentAbstractParent): + return tool.as_tool() else: - raise Exception(f"Tool type `{type(tool)}` is not supported, please convert to MotleyTool first") + raise Exception( + f"Tool type `{type(tool)}` is not supported, please convert to MotleyTool first" + ) def to_langchain_tool(self) -> BaseTool: return self.tool @@ -57,6 +63,6 @@ def to_llama_index_tool(self) -> LlamaIndex__BaseTool: fn=self.tool._run, name=self.tool.name, description=self.tool.description, - fn_schema=self.tool.args_schema + fn_schema=self.tool.args_schema, ) return llama_index_tool diff --git a/motleycrew/tracking/callbacks.py b/motleycrew/tracking/callbacks.py index dd92cbf0..a6bf1bf4 100644 --- a/motleycrew/tracking/callbacks.py +++ b/motleycrew/tracking/callbacks.py @@ -22,11 +22,11 @@ def wrapper(self, *args, **kwargs): else: event_type = kwargs.get("event_type", None) - if not [event for event in CBEventType if event.value == event_type]: + if not [event for event in CBEventType if event.value == event_type.value]: return f(*args, **kwargs) # find and call handler - handler_name = "_on_{}_{}".format(event_type, run_type) + handler_name = "_on_{}_{}".format(event_type.value, run_type) handler = getattr(self, handler_name, None) if handler is not None and callable(handler): handler_args = list(args)[1:] @@ -220,9 +220,7 @@ def _on_exception_start( run_id = parent_id if parent_id else event_id _exception = payload.get(EventPayload.EXCEPTION) - params = self._get_initial_track_event_params( - run_type, LunaryEventName.ERROR, run_id - ) + params = self._get_initial_track_event_params(run_type, LunaryEventName.ERROR, run_id) params["error"] = {"message": str(_exception), "stack": traceback.format_exc()} return params diff --git a/poetry.lock b/poetry.lock index d66d2745..e3a65496 100644 --- a/poetry.lock +++ b/poetry.lock @@ -215,13 +215,13 @@ tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "p [[package]] name = "babel" -version = "2.14.0" +version = "2.15.0" description = "Internationalization utilities" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "Babel-2.14.0-py3-none-any.whl", hash = "sha256:efb1a25b7118e67ce3a259bed20545c29cb68be8ad2c784c83689981b7a57287"}, - {file = "Babel-2.14.0.tar.gz", hash = "sha256:6919867db036398ba21eb5c7a0f6b28ab8cbc3ae7a73a44ebe34ae74a4e7d363"}, + {file = 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+IGFkdmVudHVyZXI= 100235 +IFBhbmc= 100236 +XFI= 100237 +PXBvcw== 100238 +IGRpc3BlbnNhcmllcw== 100239 +IENsb3NldA== 100240 +KCJ7XCI= 100241 +aWRlb24= 100242 +IG7DqWNlc3NhaXJl 100243 +KCkiCg== 100244 +X1JFQ0VJVkVE 100245 +IHLDqXN1bHRhdHM= 100246 +IG1vZGVu 100247 +IEljZWxhbmRpYw== 100248 +O2Q= 100249 +LmFsbG93ZWQ= 100250 +KG5ld1VzZXI= 100251 +IG1lcmNpbGVzcw== 100252 +LldhaXRGb3I= 100253 +IGRheWNhcmU= 100254 +IENvbnZleW9y 100255 diff --git a/tests/itest_golden_data/delegation_crewai.json b/tests/itest_golden_data/delegation_crewai.json index 8f210f3e..8ab2b55b 100644 --- a/tests/itest_golden_data/delegation_crewai.json +++ b/tests/itest_golden_data/delegation_crewai.json @@ -1 +1 @@ -["Navigating the New Frontiers: AI Advancements in 2024\n\nAs we step into 2024, the realm of artificial intelligence (AI) continues to evolve at a breathtaking pace, reshaping how we interact with technology in our daily lives. From the way we work to how we entertain ourselves, AI's influence is becoming more tangible and beneficial. Let's dive into some of the most significant AI advancements this year and explore how they're making technology more accessible and impactful for everyone.\n\nGenerative AI: Your Personal Creative Assistant\n\nOne of the standout stars in this year's AI advancements is Generative AI. Imagine having a personal assistant that not only helps you with your daily tasks but also sparks your creativity. This technology has now matured to a point where it's not just for tech wizards; everyone can harness its power. Whether it's crafting unique art pieces, writing stories, or generating custom code, Generative AI is here to enhance your creative vision. The beauty of this technology lies in its ability to learn from diverse data inputs and produce content that is not only original but also incredibly personalized.\n\nMultimodal AI: A Symphony of Data\n\nMultimodal AI is another exciting frontier. This technology processes and integrates various types of data\u2014text, images, and sound\u2014to perform tasks that require a holistic understanding of the world. It's like having a system that can read a book, listen to music, and watch a movie, then give you insights that are as nuanced as what a human might understand. This advancement is particularly promising as it paves the way for more intuitive and interactive AI systems that can operate in complex, real-world environments with a deeper level of understanding.\n\nEfficiency and Accessibility: Smaller Models and Open Source Innovations\n\nAs AI technologies grow, so does the need for them to be more efficient and accessible. 2024 has seen a significant shift towards smaller, more manageable AI models. These models are not only easier to use but also less resource-intensive, making them ideal for businesses and developers who might not have access to state-of-the-art computing power. Moreover, the open-source community has been instrumental in democratizing AI, ensuring that these powerful tools are available to a wider audience. This collaborative approach helps in refining AI technologies and making them more robust and user-friendly.\n\nEthical AI: Navigating the Future with Responsibility\n\nWith great power comes great responsibility, and the AI community is taking this seriously. As AI becomes a more integral part of our lives, the focus on ethics, safety, and regulatory considerations has intensified. The goal is to ensure that AI systems are not only effective but also fair and safe for everyone. The discussions around ethical AI are shaping policies and practices that govern the deployment of AI technologies, ensuring they contribute positively to society without compromising on safety or privacy.\n\nIn conclusion, 2024 is shaping up to be a transformative year for AI. With advancements like Generative AI, Multimodal AI, and more efficient models, coupled with a strong emphasis on ethical practices, AI is set to enhance our capabilities and lead us towards a more interconnected and efficient future. As we continue to explore these new frontiers, the potential for AI to improve every aspect of our lives becomes more apparent, promising a future where technology and humanity progress hand in hand.\n```"] \ No newline at end of file +"Unveiling the Future: Top AI Breakthroughs Shaping Our World\n\nIn the ever-evolving realm of technology, artificial intelligence (AI) continues to be a beacon of innovation, pushing the boundaries of what machines can do. From revolutionizing healthcare to transforming how we interact with our devices, AI advancements are not just futuristic concepts but are becoming integral parts of our daily lives. Let\u2019s dive into some of the most groundbreaking AI developments that are setting the stage for a smarter tomorrow.\n\nOne of the most exciting advancements in AI is the enhancement of natural language processing (NLP). Imagine conversing with a machine as naturally as you would with a friend. Recent breakthroughs in NLP are making this a reality, enabling AI to understand and generate human language in ways that are more nuanced and context-aware than ever before. This leap in capability is powering everything from more responsive voice-activated assistants to tools that can write articles or generate creative content, blurring the lines between human and machine-generated communication.\n\nAnother transformative area is AI in healthcare. AI algorithms are now able to analyze complex medical data and provide diagnostics with astonishing accuracy. For instance, AI-powered systems are being developed to detect diseases such as cancer more quickly and accurately than traditional methods, potentially saving lives through earlier intervention. Moreover, AI is personalizing patient care by analyzing data to predict individual health risks and suggesting customized treatment plans. This not only enhances the effectiveness of treatments but also improves the overall patient experience.\n\nAI is also making significant strides in the field of autonomous vehicles. Self-driving cars, once a staple of science fiction, are rapidly approaching mainstream reality. Advances in AI have led to improvements in machine vision, sensor technology, and decision-making algorithms, allowing vehicles to navigate complex environments safely. This technology promises to reduce traffic accidents, improve mobility for the elderly and disabled, and even reshape urban planning.\n\nIn conclusion, AI is not just a tool of the future; it is actively shaping our present in profound ways. As we continue to explore and integrate these advancements, the potential to enhance and enrich human life seems limitless. Whether it\u2019s through smarter communication, groundbreaking healthcare developments, or safer transportation, AI is undoubtedly leading us into a new era of innovation and discovery.\n```" \ No newline at end of file diff --git a/tests/itest_golden_data/single_llama_index.json b/tests/itest_golden_data/single_llama_index.json index b561db05..a5b342f3 100644 --- a/tests/itest_golden_data/single_llama_index.json +++ b/tests/itest_golden_data/single_llama_index.json @@ -1 +1 @@ -["**Comprehensive Analysis of AI Advancements in 2024**\n\n**1. Key Trends:**\n - **Reality Check:** There is a shift towards setting more realistic expectations for AI capabilities and applications.\n - **Multimodal AI:** Advancements in AI that can process and integrate multiple types of data (e.g., text, images, sound) are gaining traction.\n - **Smaller Language Models and Open Source Advancements:** There is a move towards developing smaller, more efficient language models. Additionally, open-source contributions are becoming increasingly significant in the AI field.\n - **Model Optimization:** Tools and techniques for optimizing AI models are becoming more accessible, allowing for enhanced performance and efficiency.\n\n**2. Breakthrough Technologies:**\n - **Generative AI:** This technology is expected to become more practical and useful for the average person, not just tech professionals. It involves AI that can generate text, images, and other content, potentially transforming content creation across various industries.\n - **Customized Local Models and Data Pipelines:** There is a trend towards customizing AI models and data pipelines for specific local needs, enhancing relevance and efficiency.\n\n**3. Potential Industry Impacts:**\n - **GPU Shortages and Cloud Costs:** The demand for GPUs (graphics processing units) for AI processing continues to rise, potentially leading to shortages and increased costs for cloud-based AI services.\n - **EUR Industry:** In the Energy, Utilities, and Resources sectors, AI and automation are being used to accelerate the transition to a composable environment. This is part of a broader digital transformation that is driving innovation in these sectors.\n - **IoT Integration:** The integration of AI with the Internet of Things (IoT) is enabling new use cases and driving innovation across various industries.\n\n**4. Societal and Economic Implications:**\n - **Accessibility and Adoption:** As AI technologies become more user-friendly and accessible, we can expect broader adoption across different segments of society, leading to significant societal and economic impacts.\n - **Innovation and Transformation:** The continued evolution and integration of AI technologies are expected to drive substantial innovation and transformation across multiple sectors, potentially changing the way we live and work.\n\nThis analysis highlights the dynamic nature of AI development and its potential to influence a wide range of industries and societal structures in 2024 and beyond."] +"The comprehensive analysis of the latest advancements in AI as of 2024 reveals several key trends and breakthrough technologies that are poised to impact various industries significantly. Here is a detailed report:\n\n1. **Realistic Expectations**: There is a shift towards setting more realistic expectations for AI capabilities, moving away from overhyped promises to practical, achievable goals.\n\n2. **Multimodal AI**: This trend involves AI systems that can understand and analyze multiple types of data inputs (e.g., text, audio, visual) simultaneously, enhancing their applicability and effectiveness in complex scenarios.\n\n3. **Smaller Language Models and Open Source Advancements**: The focus is shifting towards developing smaller, more efficient language models. Additionally, there is significant growth in open-source projects, which democratize AI advancements and encourage community-driven innovation.\n\n4. **GPU Shortages and Cloud Costs**: The AI industry faces challenges such as GPU shortages and rising cloud service costs, which could affect the development and deployment of AI models.\n\n5. **Model Optimization**: Tools and techniques for optimizing AI models are becoming more accessible, allowing for enhanced performance with lower resource consumption.\n\n6. **Customized Local Models and Data Pipelines**: There is an increasing trend towards developing customized AI models and data pipelines tailored for specific local needs, enhancing their effectiveness and efficiency.\n\n7. **Generative AI**: 2024 is expected to be a pivotal year for generative AI, with its potential becoming more accessible and useful to the general public. This technology is anticipated to transform various sectors by enabling the creation of content and solutions directly from AI models.\n\n8. **Integration of AI Leadership**: There is a noticeable trend of organizations consolidating roles such as Chief Data Officers and Chief AI Officers, reflecting a more integrated approach to AI governance and strategy within businesses.\n\n9. **Economic Impact of Generative AI**: The broad potential of generative AI is expected to trigger a significant transformation across the global economic landscape, as businesses begin to leverage these technologies for a wide range of applications.\n\nThese trends and technologies indicate a maturing AI landscape where practicality, efficiency, and broad accessibility are becoming the focal points. The impact on industries will likely be profound, as companies integrate AI more deeply into their operational, strategic, and creative processes." \ No newline at end of file diff --git a/tests/run_integration_tests.py b/tests/run_integration_tests.py index b1ebe52f..36a86de3 100644 --- a/tests/run_integration_tests.py +++ b/tests/run_integration_tests.py @@ -40,11 +40,13 @@ "math_crewai_ipynb": "examples/math_crewai.ipynb", "single_crewai_ipynb": "examples/single_crewai.ipynb", "single_llama_index_ipynb": "examples/single_llama_index.ipynb", - "single_openai_tools_react_ipynb": "examples/single_openai_tools_react.ipynb" + "single_openai_tools_react_ipynb": "examples/single_openai_tools_react.ipynb", } DEFAULT_CACHE_DIR = Path(__file__).parent / "itest_cache" DEFAULT_GOLDEN_DIR = Path(__file__).parent / "itest_golden_data" +TIKTOKEN_CACHE_DIR_NAME = "tiktoken_cache" +TIKTOKEN_CACHE_DIR_ENV_VAR = "TIKTOKEN_CACHE_DIR" def get_args_parser(): @@ -120,6 +122,22 @@ def run_ipynb(ipynb_path: str): ep.preprocess(nb) +def set_tiktoken_cache_dir(cache_dir: str) -> str: + """Set tiktoken cache directory to env, return its old value to set it back after the tests""" + old_value = os.environ.get(TIKTOKEN_CACHE_DIR_ENV_VAR) + + tiktoken_cache_dir = os.path.join(cache_dir, "tiktoken_cache") + os.environ[TIKTOKEN_CACHE_DIR_ENV_VAR] = tiktoken_cache_dir + return old_value + + +def unset_tiktoken_cache_dir(old_value: Optional[str] = None): + """Restore the tiktoken cache environment variable, so it is not used outside the tests""" + if old_value is not None: + os.environ[TIKTOKEN_CACHE_DIR_ENV_VAR] = old_value + os.environ.pop(TIKTOKEN_CACHE_DIR_ENV_VAR, None) + + def build_ipynb_integration_tests() -> dict: """Build and return dict of ipynb integration tests functions""" test_functions = {} @@ -144,6 +162,8 @@ def run_integration_tests( integration_tests = copy(INTEGRATION_TESTS) integration_tests.update(build_ipynb_integration_tests()) + old_tiktoken_cache_dir = set_tiktoken_cache_dir(cache_dir) + for current_test_name, test_fn in integration_tests.items(): if test_name is not None and test_name != current_test_name: continue @@ -184,6 +204,9 @@ def run_integration_tests( if failed_tests: raise IntegrationTestException(test_names=list(failed_tests.keys())) + logging.info("All tests passed!") + unset_tiktoken_cache_dir(old_tiktoken_cache_dir) + def main(): configure_logging(verbose=True) diff --git a/tests/test_storage/__init__.py b/tests/test_storage/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/test_storage/test_kuzu_graph_store.py b/tests/test_storage/test_kuzu_graph_store.py new file mode 100644 index 00000000..62d39f8e --- /dev/null +++ b/tests/test_storage/test_kuzu_graph_store.py @@ -0,0 +1,206 @@ +import pytest + +from typing import Optional +import kuzu +from motleycrew.storage import MotleyGraphNode +from motleycrew.storage import MotleyKuzuGraphStore + + +class Entity(MotleyGraphNode): + int_param: int + optional_str_param: Optional[str] = None + optional_list_str_param: Optional[list[str]] = None + + +@pytest.fixture +def database(tmpdir): + db_path = tmpdir / "test_db" + db = kuzu.Database(str(db_path)) + return db + + +class TestMotleyKuzuGraphStore: + def test_set_get_node_id(self): + entity = Entity(int_param=1) + MotleyKuzuGraphStore._set_node_id(node=entity, node_id=2) + assert entity.id == 2 + + def test_insert_new_node(self, database): + graph_store = MotleyKuzuGraphStore(database) + entity = Entity(int_param=1) + created_entity = graph_store.insert_node(entity) + assert created_entity.id is not None + assert entity.id is not None # mutated in place + + def test_insert_node_and_retrieve(self, database): + graph_store = MotleyKuzuGraphStore(database) + + entity = Entity(int_param=1, optional_str_param="test", optional_list_str_param=["a", "b"]) + inserted_entity = graph_store.insert_node(entity) + assert inserted_entity.id is not None + + retrieved_entity = graph_store.get_node_by_class_and_id( + node_class=Entity, node_id=inserted_entity.id + ) + assert inserted_entity == retrieved_entity + + def test_insert_node_with_id_already_set(self, database): + graph_store = MotleyKuzuGraphStore(database) + entity = Entity(int_param=1) + MotleyKuzuGraphStore._set_node_id(node=entity, node_id=2) + with pytest.raises(AssertionError): + graph_store.insert_node(entity) + + def test_check_node_exists_true(self, database): + graph_store = MotleyKuzuGraphStore(database) + entity = Entity(int_param=1) + + graph_store.insert_node(entity) + assert graph_store.check_node_exists(entity) + + def test_check_node_exists_false(self, database): + graph_store = MotleyKuzuGraphStore(database) + entity = Entity(int_param=1) + assert graph_store.check_node_exists(entity) is False + + MotleyKuzuGraphStore._set_node_id(node=entity, node_id=2) + assert graph_store.check_node_exists(entity) is False + + graph_store.ensure_node_table(Entity) + assert graph_store.check_node_exists(entity) is False + + def test_create_relation(self, database): + graph_store = MotleyKuzuGraphStore(database) + entity1 = Entity(int_param=1) + entity2 = Entity(int_param=2) + graph_store.insert_node(entity1) + graph_store.insert_node(entity2) + + graph_store.create_relation(from_node=entity1, to_node=entity2, label="p") + + assert graph_store.check_relation_exists(from_node=entity1, to_node=entity2) + assert graph_store.check_relation_exists(from_node=entity1, to_node=entity2, label="p") + assert not graph_store.check_relation_exists(from_node=entity1, to_node=entity2, label="q") + assert not graph_store.check_relation_exists(from_node=entity2, to_node=entity1) + + def test_upsert_triplet(self, database): + graph_store = MotleyKuzuGraphStore(database) + entity1 = Entity(int_param=1) + entity2 = Entity(int_param=2) + graph_store.upsert_triplet(from_node=entity1, to_node=entity2, label="p") + + assert graph_store.check_node_exists(entity1) + assert graph_store.check_node_exists(entity2) + + assert graph_store.check_relation_exists(from_node=entity1, to_node=entity2) + assert graph_store.check_relation_exists(from_node=entity1, to_node=entity2, label="p") + assert not graph_store.check_relation_exists(from_node=entity1, to_node=entity2, label="q") + assert not graph_store.check_relation_exists(from_node=entity2, to_node=entity1) + + def test_nodes_do_not_exist(self, database): + graph_store = MotleyKuzuGraphStore(database) + entity1 = Entity(int_param=1) + entity2 = Entity(int_param=2) + + assert not graph_store.check_node_exists(entity1) + assert not graph_store.check_node_exists(entity2) + + assert not graph_store.check_relation_exists(from_node=entity1, to_node=entity2) + assert not graph_store.check_relation_exists(from_node=entity2, to_node=entity1, label="p") + + def test_relation_does_not_exist(self, database): + graph_store = MotleyKuzuGraphStore(database) + entity1 = Entity(int_param=1) + entity2 = Entity(int_param=2) + + assert not graph_store.check_relation_exists(from_node=entity1, to_node=entity2) + assert not graph_store.check_relation_exists(from_node=entity2, to_node=entity1) + + graph_store.insert_node(entity1) + graph_store.insert_node(entity2) + + assert not graph_store.check_relation_exists(from_node=entity1, to_node=entity2) + assert not graph_store.check_relation_exists(from_node=entity2, to_node=entity1) + + def test_delete_node(self, database): + graph_store = MotleyKuzuGraphStore(database) + entity = Entity(int_param=1) + graph_store.insert_node(entity) + assert graph_store.check_node_exists(entity) is True + + graph_store.delete_node(entity) + assert graph_store.check_node_exists(entity) is False + + entity.int_param = 2 # check that entity is not frozen + + def test_delete_entity_with_relations(self, database): + graph_store = MotleyKuzuGraphStore(database) + entity1 = Entity(int_param=1) + entity2 = Entity(int_param=2) + + graph_store.insert_node(entity1) + graph_store.insert_node(entity2) + graph_store.create_relation(from_node=entity1, to_node=entity2, label="p") + assert graph_store.check_relation_exists(from_node=entity1, to_node=entity2) is True + + graph_store.delete_node(entity1) + assert graph_store.check_node_exists(entity1) is False + assert graph_store.check_node_exists(entity2) is True + assert graph_store.check_relation_exists(from_node=entity1, to_node=entity2) is False + + def test_set_property(self, database): + graph_store = MotleyKuzuGraphStore(database) + entity = Entity(int_param=1) + graph_store.insert_node(entity) + assert entity.optional_str_param is None + assert graph_store.get_node_by_class_and_id(Entity, entity.id).optional_str_param is None + + entity.optional_str_param = "test" + assert graph_store.get_node_by_class_and_id(Entity, entity.id).optional_str_param == "test" + + entity.optional_list_str_param = ["a", "b"] + assert graph_store.get_node_by_class_and_id(Entity, entity.id).optional_list_str_param == [ + "a", + "b", + ] + + def test_run_cypher_query(self, database): + graph_store = MotleyKuzuGraphStore(database) + entity1 = Entity(int_param=1) + entity2 = Entity(int_param=2) + + graph_store.insert_node(entity1) + graph_store.insert_node(entity2) + graph_store.create_relation(from_node=entity1, to_node=entity2, label="p") + + query = """ + MATCH (a:Entity {int_param: 1})-[r]->(b:Entity {int_param: 2}) + RETURN a, r, b + """ + result = graph_store.run_cypher_query(query) + assert len(result) == 1 + assert len(result[0]) == 3 + + a, r, b = result[0] + assert a["int_param"] == 1 + assert b["int_param"] == 2 + assert r["_label"] == "p" + + def test_run_cypher_query_with_container(self, database): + graph_store = MotleyKuzuGraphStore(database) + entity1 = Entity(int_param=1) + entity2 = Entity(int_param=2, optional_list_str_param=["a", "b"]) + + graph_store.insert_node(entity1) + graph_store.insert_node(entity2) + + query = """ + MATCH (a:Entity) + WHERE a.int_param = 2 + RETURN a + """ + result = graph_store.run_cypher_query(query, container=Entity) + assert len(result) == 1 + assert isinstance(result[0], Entity) + assert result[0].int_param == 2 + assert result[0].optional_list_str_param == ["a", "b"] diff --git a/tests/test_tasks/test_graph.py b/tests/test_tasks/test_graph.py deleted file mode 100644 index b7eefbee..00000000 --- a/tests/test_tasks/test_graph.py +++ /dev/null @@ -1,32 +0,0 @@ -import pytest - -from motleycrew import MotleyCrew, Task, TaskGraph - - -@pytest.fixture -def crew(): - return MotleyCrew() - - -@pytest.fixture -def graph(crew): - return crew.task_graph - - -def test_empty_graph_has_no_tasks_remaining(graph): - assert graph.num_tasks_remaining() == 0 - - -def test_registered_tasks_are_counted_as_pending(crew, graph): - _ = Task("", "", crew) - - assert crew, graph.num_tasks_pending() == 1 - assert crew, graph.num_tasks_remaining() == 1 - - -def test_registered_tasks_are_not_duplicated(crew, graph): - task = Task("", "", crew) - graph.add_task(task) - - assert graph.num_tasks_pending() == 1 - assert graph.num_tasks_remaining() == 1 diff --git a/tests/test_tasks/test_task.py b/tests/test_tasks/test_task.py deleted file mode 100644 index 9fc2b0da..00000000 --- a/tests/test_tasks/test_task.py +++ /dev/null @@ -1,110 +0,0 @@ -import pytest - -from motleycrew import MotleyCrew -from motleycrew.tasks import Task, TaskDependencyCycleError, TaskGraph - - -def create_dummy_task(crew: MotleyCrew, name: str): - return Task( - name=name, - description=name, - crew=crew, - ) - - -@pytest.fixture -def crew(): - return MotleyCrew() - - -@pytest.fixture -def task1(crew): - return create_dummy_task(crew, "1") - - -@pytest.fixture -def task2(crew): - return create_dummy_task(crew, "2") - - -@pytest.fixture -def task3(crew): - return create_dummy_task(crew, "3") - - -class TestSetUpstream: - def test_set_upstream_returns_self(self, task1, task2): - result = task2.set_upstream(task1) - - assert result is task2 - - def test_set_upstream_sets_upstream(self, task1, task2): - task2.set_upstream(task1) - - assert task1.upstream_tasks == [] - assert task2.upstream_tasks == [task1] - - def test_set_upstream_sets_downstreams(self, task1, task2): - task2.set_upstream(task1) - - assert task1.downstream_tasks == [task2] - assert task2.downstream_tasks == [] - - def test_rshift_returns_left(self, task1, task2): - result = task1 >> task2 - - assert result is task1 - - def test_rshift_sets_downstream(self, task1, task2): - task1 >> task2 - - assert task1.downstream_tasks == [task2] - assert task2.downstream_tasks == [] - - def test_rshift_sets_upstream(self, task1, task2): - task1 >> task2 - - assert task1.upstream_tasks == [] - assert task2.upstream_tasks == [task1] - - def test_rshift_set_multiple_downstream(self, task1, task2, task3): - task1 >> [task2, task3] - - assert task1.downstream_tasks == [task2, task3] - assert task2.downstream_tasks == [] - assert task3.downstream_tasks == [] - - def test_rshift_set_multiple_upstream(self, task1, task2, task3): - task1 >> [task2, task3] - - assert task1.upstream_tasks == [] - assert task2.upstream_tasks == [task1] - assert task3.upstream_tasks == [task1] - - def test_sequence_on_left_returns_sequence(self, task1, task2, task3): - result = [task1, task2] >> task3 - - assert result == [task1, task2] - - def test_sequence_on_left_sets_downstream(self, task1, task2, task3): - [task1, task2] >> task3 - - assert task1.downstream_tasks == [task3] - assert task2.downstream_tasks == [task3] - assert task3.downstream_tasks == [] - - def test_sequence_on_left_sets_upstream(self, task1, task2, task3): - [task1, task2] >> task3 - - assert task1.upstream_tasks == [] - assert task2.upstream_tasks == [] - assert task3.upstream_tasks == [task1, task2] - - def test_deduplicates(self, task1, task2): - task1 >> [task2, task2] - - assert task1.downstream_tasks == [task2] - - def test_error_on_direct_dependency_cycle(self, task1): - with pytest.raises(TaskDependencyCycleError): - task1 >> task1 diff --git a/tests/test_tasks/test_task_recipe.py b/tests/test_tasks/test_task_recipe.py new file mode 100644 index 00000000..d970eb19 --- /dev/null +++ b/tests/test_tasks/test_task_recipe.py @@ -0,0 +1,132 @@ +from typing import List, Optional + +import pytest + +import kuzu +from langchain_core.runnables import Runnable + +from motleycrew import MotleyCrew, MotleyTool +from motleycrew.tasks import TaskRecipe, TaskType +from motleycrew.storage import MotleyKuzuGraphStore +from motleycrew.common.exceptions import TaskDependencyCycleError + + +class TaskRecipeMock(TaskRecipe): + def identify_candidates(self) -> List[TaskType]: + pass + + def get_worker(self, tools: Optional[List[MotleyTool]]) -> Runnable: + pass + + +def create_dummy_task_recipe(crew: MotleyCrew, name: str): + return TaskRecipeMock( + name=name, + crew=crew, + ) + + +@pytest.fixture +def graph_store(tmpdir): + db_path = tmpdir / "test_db" + db = kuzu.Database(str(db_path)) + graph_store = MotleyKuzuGraphStore(db) + return graph_store + + +@pytest.fixture +def crew(graph_store): + return MotleyCrew(graph_store=graph_store) + + +@pytest.fixture +def task_recipe_1(crew): + return create_dummy_task_recipe(crew, "1") + + +@pytest.fixture +def task_recipe_2(crew): + return create_dummy_task_recipe(crew, "2") + + +@pytest.fixture +def task_recipe_3(crew): + return create_dummy_task_recipe(crew, "3") + + +class TestSetUpstream: + def test_set_upstream_returns_self(self, task_recipe_1, task_recipe_2): + result = task_recipe_2.set_upstream(task_recipe_1) + + assert result is task_recipe_2 + + def test_set_upstream_sets_upstream(self, task_recipe_1, task_recipe_2): + task_recipe_2.set_upstream(task_recipe_1) + + assert task_recipe_1.get_upstream_task_recipes() == [] + assert task_recipe_2.get_upstream_task_recipes() == [task_recipe_1] + + def test_set_upstream_sets_downstreams(self, task_recipe_1, task_recipe_2): + task_recipe_2.set_upstream(task_recipe_1) + + assert task_recipe_1.get_downstream_task_recipes() == [task_recipe_2] + assert task_recipe_2.get_downstream_task_recipes() == [] + + def test_rshift_returns_left(self, task_recipe_1, task_recipe_2): + result = task_recipe_1 >> task_recipe_2 + + assert result is task_recipe_1 + + def test_rshift_sets_downstream(self, task_recipe_1, task_recipe_2): + task_recipe_1 >> task_recipe_2 + + assert task_recipe_1.get_downstream_task_recipes() == [task_recipe_2] + assert task_recipe_2.get_downstream_task_recipes() == [] + + def test_rshift_sets_upstream(self, task_recipe_1, task_recipe_2): + task_recipe_1 >> task_recipe_2 + + assert task_recipe_1.get_upstream_task_recipes() == [] + assert task_recipe_2.get_upstream_task_recipes() == [task_recipe_1] + + def test_rshift_set_multiple_downstream(self, task_recipe_1, task_recipe_2, task_recipe_3): + task_recipe_1 >> [task_recipe_2, task_recipe_3] + + assert set(task_recipe_1.get_downstream_task_recipes()) == {task_recipe_2, task_recipe_3} + assert task_recipe_2.get_downstream_task_recipes() == [] + assert task_recipe_3.get_downstream_task_recipes() == [] + + def test_rshift_set_multiple_upstream(self, task_recipe_1, task_recipe_2, task_recipe_3): + task_recipe_1 >> [task_recipe_2, task_recipe_3] + + assert task_recipe_1.get_upstream_task_recipes() == [] + assert task_recipe_2.get_upstream_task_recipes() == [task_recipe_1] + assert task_recipe_3.get_upstream_task_recipes() == [task_recipe_1] + + def test_sequence_on_left_returns_sequence(self, task_recipe_1, task_recipe_2, task_recipe_3): + result = [task_recipe_1, task_recipe_2] >> task_recipe_3 + + assert result == [task_recipe_1, task_recipe_2] + + def test_sequence_on_left_sets_downstream(self, task_recipe_1, task_recipe_2, task_recipe_3): + [task_recipe_1, task_recipe_2] >> task_recipe_3 + + assert task_recipe_1.get_downstream_task_recipes() == [task_recipe_3] + assert task_recipe_2.get_downstream_task_recipes() == [task_recipe_3] + assert task_recipe_3.get_downstream_task_recipes() == [] + + def test_sequence_on_left_sets_upstream(self, task_recipe_1, task_recipe_2, task_recipe_3): + [task_recipe_1, task_recipe_2] >> task_recipe_3 + + assert task_recipe_1.get_upstream_task_recipes() == [] + assert task_recipe_2.get_upstream_task_recipes() == [] + assert set(task_recipe_3.get_upstream_task_recipes()) == {task_recipe_1, task_recipe_2} + + def test_deduplicates(self, task_recipe_1, task_recipe_2): + task_recipe_1 >> [task_recipe_2, task_recipe_2] + + assert task_recipe_1.get_downstream_task_recipes() == [task_recipe_2] + + def test_error_on_direct_dependency_cycle(self, task_recipe_1): + with pytest.raises(TaskDependencyCycleError): + task_recipe_1 >> task_recipe_1