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Replay feat using db (#930)

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* Cleaned up task execution to now have separate paths for async and sync execution. Updating all kickoff functions to return CrewOutput. WIP. Waiting for Joao feedback on async task execution with task_output

* Consistently storing async and sync output for context

* outline tests I need to create going forward

* Major rehaul of TaskOutput and CrewOutput. Updated all tests to work with new change. Need to add in a few final tricky async tests and add a few more to verify output types on TaskOutput and CrewOutput.

* Encountering issues with callback. Need to test on main. WIP

* working on tests. WIP

* WIP. Figuring out disconnect issue.

* Cleaned up logs now that I've isolated the issue to the LLM

* more wip.

* WIP. It looks like usage metrics has always been broken for async

* Update parent crew who is managing for_each loop

* Merge in main to bugfix/kickoff-for-each-usage-metrics

* Clean up code for review

* Add new tests

* Final cleanup. Ready for review.

* Moving copy functionality from Agent to BaseAgent

* Fix renaming issue

* Fix linting errors

* use BaseAgent instead of Agent where applicable

* Fixing missing function. Working on tests.

* WIP. Needing team to review change

* Fixing issues brought about by merge

* WIP: need to fix json encoder

* WIP need to fix encoder

* WIP

* WIP: replay working with async. need to add tests

* Implement major fixes from yesterdays group conversation. Now working on tests.

* The majority of tasks are working now. Need to fix converter class

* Fix final failing test

* Fix linting and type-checker issues

* Add more tests to fully test CrewOutput and TaskOutput changes

* Add in validation for async cannot depend on other async tasks.

* WIP: working replay feat fixing inputs, need tests

* WIP: core logic of seq and heir for executing tasks added into one

* Update validators and tests

* better logic for seq and hier

* replay working for both seq and hier just need tests

* fixed context

* added cli command + code cleanup TODO: need better refactoring

* refactoring for cleaner code

* added better tests

* removed todo comments and fixed some tests

* fix logging now all tests should pass

* cleaner code

* ensure replay is delcared when replaying specific tasks

* ensure hierarchical works

* better typing for stored_outputs and separated task_output_handler

* added better tests

* added replay feature to crew docs

* easier cli command name

* fixing changes

* using sqllite instead of .json file for logging previous task_outputs

* tools fix

* added to docs and fixed tests

* fixed .db

* fixed docs and removed unneeded comments

* separating ltm and replay db

* fixed printing colors

* added how to doc

---------

Co-authored-by: Brandon Hancock <brandon@brandonhancock.io>
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Lorenze Jay
2024-07-15 13:14:10 -07:00
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448
tests/crew_test.py
View File

@@ -15,8 +15,10 @@ from crewai.crews.crew_output import CrewOutput
from crewai.memory.contextual.contextual_memory import ContextualMemory
from crewai.process import Process
from crewai.task import Task
from crewai.tasks.output_format import OutputFormat
from crewai.tasks.task_output import TaskOutput
from crewai.utilities import Logger, RPMController
from crewai.utilities.task_output_storage_handler import TaskOutputStorageHandler
ceo = Agent(
role="CEO",
@@ -136,7 +138,6 @@ def test_async_task_cannot_include_sequential_async_tasks_in_context():
def test_context_no_future_tasks():
task2 = Task(
description="Task 2",
expected_output="output",
@@ -584,7 +585,6 @@ def test_sequential_async_task_execution_completion():
@pytest.mark.vcr(filter_headers=["authorization"])
def test_single_task_with_async_execution():
researcher_agent = Agent(
role="Researcher",
goal="Make the best research and analysis on content about AI and AI agents",
@@ -740,7 +740,6 @@ def test_async_task_execution_call_count():
) as mock_execute_sync, patch.object(
Task, "execute_async", return_value=mock_future
) as mock_execute_async:
crew.kickoff()
assert mock_execute_async.call_count == 2
@@ -1148,7 +1147,6 @@ def test_code_execution_flag_adds_code_tool_upon_kickoff():
@pytest.mark.vcr(filter_headers=["authorization"])
def test_delegation_is_not_enabled_if_there_are_only_one_agent():
researcher = Agent(
role="Researcher",
goal="Make the best research and analysis on content about AI and AI agents",
@@ -1238,10 +1236,10 @@ def test_agent_usage_metrics_are_captured_for_hierarchical_process():
print(crew.usage_metrics)
assert crew.usage_metrics == {
"total_tokens": 2217,
"prompt_tokens": 1847,
"completion_tokens": 370,
"successful_requests": 4,
"total_tokens": 311,
"prompt_tokens": 224,
"completion_tokens": 87,
"successful_requests": 1,
}
@@ -1380,7 +1378,6 @@ def test_crew_does_not_interpolate_without_inputs():
interpolate_task_inputs.assert_not_called()
# TODO: Ask @joao if we want to start throwing errors if inputs are not provided
# def test_crew_partial_inputs():
# agent = Agent(
# role="{topic} Researcher",
@@ -1404,7 +1401,6 @@ def test_crew_does_not_interpolate_without_inputs():
# assert crew.agents[0].backstory == "You have a lot of experience with AI."
# TODO: If we do want ot throw errors if we are missing inputs. Add in this test.
# def test_crew_invalid_inputs():
# agent = Agent(
# role="{topic} Researcher",
@@ -1806,3 +1802,435 @@ def test__setup_for_training():
for agent in agents:
assert agent.allow_delegation is False
@pytest.mark.vcr(filter_headers=["authorization"])
def test_replay_feature():
list_ideas = Task(
description="Generate a list of 5 interesting ideas to explore for an article, where each bulletpoint is under 15 words.",
expected_output="Bullet point list of 5 important events. No additional commentary.",
agent=researcher,
)
write = Task(
description="Write a sentence about the events",
expected_output="A sentence about the events",
agent=writer,
context=[list_ideas],
)
crew = Crew(
agents=[researcher, writer],
tasks=[list_ideas, write],
process=Process.sequential,
)
with patch.object(Task, "execute_sync") as mock_execute_task:
mock_execute_task.return_value = TaskOutput(
description="Mock description",
raw="Mocked output for list of ideas",
agent="Researcher",
json_dict=None,
output_format=OutputFormat.RAW,
pydantic=None,
summary="Mocked output for list of ideas",
)
crew.kickoff()
crew.replay_from_task(str(write.id))
# Ensure context was passed correctly
assert mock_execute_task.call_count == 3
@pytest.mark.vcr(filter_headers=["authorization"])
def test_crew_replay_from_task_error():
task = Task(
description="Come up with a list of 5 interesting ideas to explore for an article",
expected_output="5 bullet points with a paragraph for each idea.",
agent=researcher,
)
crew = Crew(
agents=[researcher, writer],
tasks=[task],
)
with pytest.raises(TypeError) as e:
crew.replay_from_task() # type: ignore purposefully throwing err
assert "task_id is required" in str(e)
@pytest.mark.vcr(filter_headers=["authorization"])
def test_crew_task_db_init():
agent = Agent(
role="Content Writer",
goal="Write engaging content on various topics.",
backstory="You have a background in journalism and creative writing.",
)
task = Task(
description="Write a detailed article about AI in healthcare.",
expected_output="A 1 paragraph article about AI.",
agent=agent,
)
crew = Crew(agents=[agent], tasks=[task])
with patch.object(Task, "execute_sync") as mock_execute_task:
mock_execute_task.return_value = TaskOutput(
description="Write about AI in healthcare.",
raw="Artificial Intelligence (AI) is revolutionizing healthcare by enhancing diagnostic accuracy, personalizing treatment plans, and streamlining administrative tasks.",
agent="Content Writer",
json_dict=None,
output_format=OutputFormat.RAW,
pydantic=None,
summary="Write about AI in healthcare...",
)
crew.kickoff()
# Check if this runs without raising an exception
try:
db_handler = TaskOutputStorageHandler()
db_handler.load()
assert True # If we reach this point, no exception was raised
except Exception as e:
pytest.fail(f"An exception was raised: {str(e)}")
@pytest.mark.vcr(filter_headers=["authorization"])
def test_replay_task_with_context():
agent1 = Agent(
role="Researcher",
goal="Research AI advancements.",
backstory="You are an expert in AI research.",
)
agent2 = Agent(
role="Writer",
goal="Write detailed articles on AI.",
backstory="You have a background in journalism and AI.",
)
task1 = Task(
description="Research the latest advancements in AI.",
expected_output="A detailed report on AI advancements.",
agent=agent1,
)
task2 = Task(
description="Summarize the AI advancements report.",
expected_output="A summary of the AI advancements report.",
agent=agent2,
)
task3 = Task(
description="Write an article based on the AI advancements summary.",
expected_output="An article on AI advancements.",
agent=agent2,
)
task4 = Task(
description="Create a presentation based on the AI advancements article.",
expected_output="A presentation on AI advancements.",
agent=agent2,
context=[task1],
)
crew = Crew(
agents=[agent1, agent2],
tasks=[task1, task2, task3, task4],
process=Process.sequential,
)
mock_task_output1 = TaskOutput(
description="Research the latest advancements in AI.",
raw="Detailed report on AI advancements...",
agent="Researcher",
json_dict=None,
output_format=OutputFormat.RAW,
pydantic=None,
summary="Detailed report on AI advancements...",
)
mock_task_output2 = TaskOutput(
description="Summarize the AI advancements report.",
raw="Summary of the AI advancements report...",
agent="Writer",
json_dict=None,
output_format=OutputFormat.RAW,
pydantic=None,
summary="Summary of the AI advancements report...",
)
mock_task_output3 = TaskOutput(
description="Write an article based on the AI advancements summary.",
raw="Article on AI advancements...",
agent="Writer",
json_dict=None,
output_format=OutputFormat.RAW,
pydantic=None,
summary="Article on AI advancements...",
)
mock_task_output4 = TaskOutput(
description="Create a presentation based on the AI advancements article.",
raw="Presentation on AI advancements...",
agent="Writer",
json_dict=None,
output_format=OutputFormat.RAW,
pydantic=None,
summary="Presentation on AI advancements...",
)
with patch.object(Task, "execute_sync") as mock_execute_task:
mock_execute_task.side_effect = [
mock_task_output1,
mock_task_output2,
mock_task_output3,
mock_task_output4,
]
crew.kickoff()
db_handler = TaskOutputStorageHandler()
assert db_handler.load() != []
with patch.object(Task, "execute_sync") as mock_replay_task:
mock_replay_task.return_value = mock_task_output4
replayed_output = crew.replay_from_task(str(task4.id))
assert replayed_output.raw == "Presentation on AI advancements..."
db_handler.reset()
def test_replay_from_task_with_context():
agent = Agent(role="test_agent", backstory="Test Description", goal="Test Goal")
task1 = Task(
description="Context Task", expected_output="Say Task Output", agent=agent
)
task2 = Task(
description="Test Task", expected_output="Say Hi", agent=agent, context=[task1]
)
context_output = TaskOutput(
description="Context Task Output",
agent="test_agent",
raw="context raw output",
pydantic=None,
json_dict={},
output_format=OutputFormat.RAW,
)
task1.output = context_output
crew = Crew(agents=[agent], tasks=[task1, task2], process=Process.sequential)
with patch(
"crewai.utilities.task_output_storage_handler.TaskOutputStorageHandler.load",
return_value=[
{
"task_id": str(task1.id),
"output": {
"description": context_output.description,
"summary": context_output.summary,
"raw": context_output.raw,
"pydantic": context_output.pydantic,
"json_dict": context_output.json_dict,
"output_format": context_output.output_format,
"agent": context_output.agent,
},
"inputs": {},
},
{
"task_id": str(task2.id),
"output": {
"description": "Test Task Output",
"summary": None,
"raw": "test raw output",
"pydantic": None,
"json_dict": {},
"output_format": "json",
"agent": "test_agent",
},
"inputs": {},
},
],
):
crew.replay_from_task(str(task2.id))
assert crew.tasks[1].context[0].output.raw == "context raw output"
@pytest.mark.vcr(filter_headers=["authorization"])
def test_replay_with_invalid_task_id():
agent = Agent(role="test_agent", backstory="Test Description", goal="Test Goal")
task1 = Task(
description="Context Task", expected_output="Say Task Output", agent=agent
)
task2 = Task(
description="Test Task", expected_output="Say Hi", agent=agent, context=[task1]
)
context_output = TaskOutput(
description="Context Task Output",
agent="test_agent",
raw="context raw output",
pydantic=None,
json_dict={},
output_format=OutputFormat.RAW,
)
task1.output = context_output
crew = Crew(agents=[agent], tasks=[task1, task2], process=Process.sequential)
with patch(
"crewai.utilities.task_output_storage_handler.TaskOutputStorageHandler.load",
return_value=[
{
"task_id": str(task1.id),
"output": {
"description": context_output.description,
"summary": context_output.summary,
"raw": context_output.raw,
"pydantic": context_output.pydantic,
"json_dict": context_output.json_dict,
"output_format": context_output.output_format,
"agent": context_output.agent,
},
"inputs": {},
},
{
"task_id": str(task2.id),
"output": {
"description": "Test Task Output",
"summary": None,
"raw": "test raw output",
"pydantic": None,
"json_dict": {},
"output_format": "json",
"agent": "test_agent",
},
"inputs": {},
},
],
):
with pytest.raises(
ValueError,
match="Task with id bf5b09c9-69bd-4eb8-be12-f9e5bae31c2d not found in the crew's tasks.",
):
crew.replay_from_task("bf5b09c9-69bd-4eb8-be12-f9e5bae31c2d")
@patch.object(Crew, "_interpolate_inputs")
def test_replay_interpolates_inputs_properly(mock_interpolate_inputs):
agent = Agent(role="test_agent", backstory="Test Description", goal="Test Goal")
task1 = Task(description="Context Task", expected_output="Say {name}", agent=agent)
task2 = Task(
description="Test Task",
expected_output="Say Hi to {name}",
agent=agent,
context=[task1],
)
context_output = TaskOutput(
description="Context Task Output",
agent="test_agent",
raw="context raw output",
pydantic=None,
json_dict={},
output_format=OutputFormat.RAW,
)
task1.output = context_output
crew = Crew(agents=[agent], tasks=[task1, task2], process=Process.sequential)
crew.kickoff(inputs={"name": "John"})
with patch(
"crewai.utilities.task_output_storage_handler.TaskOutputStorageHandler.load",
return_value=[
{
"task_id": str(task1.id),
"output": {
"description": context_output.description,
"summary": context_output.summary,
"raw": context_output.raw,
"pydantic": context_output.pydantic,
"json_dict": context_output.json_dict,
"output_format": context_output.output_format,
"agent": context_output.agent,
},
"inputs": {"name": "John"},
},
{
"task_id": str(task2.id),
"output": {
"description": "Test Task Output",
"summary": None,
"raw": "test raw output",
"pydantic": None,
"json_dict": {},
"output_format": "json",
"agent": "test_agent",
},
"inputs": {"name": "John"},
},
],
):
crew.replay_from_task(str(task2.id))
assert crew._inputs == {"name": "John"}
assert mock_interpolate_inputs.call_count == 2
@pytest.mark.vcr(filter_headers=["authorization"])
def test_replay_from_task_setup_context():
agent = Agent(role="test_agent", backstory="Test Description", goal="Test Goal")
task1 = Task(description="Context Task", expected_output="Say {name}", agent=agent)
task2 = Task(
description="Test Task",
expected_output="Say Hi to {name}",
agent=agent,
)
context_output = TaskOutput(
description="Context Task Output",
agent="test_agent",
raw="context raw output",
pydantic=None,
json_dict={},
output_format=OutputFormat.RAW,
)
task1.output = context_output
crew = Crew(agents=[agent], tasks=[task1, task2], process=Process.sequential)
with patch(
"crewai.utilities.task_output_storage_handler.TaskOutputStorageHandler.load",
return_value=[
{
"task_id": str(task1.id),
"output": {
"description": context_output.description,
"summary": context_output.summary,
"raw": context_output.raw,
"pydantic": context_output.pydantic,
"json_dict": context_output.json_dict,
"output_format": context_output.output_format,
"agent": context_output.agent,
},
"inputs": {"name": "John"},
},
{
"task_id": str(task2.id),
"output": {
"description": "Test Task Output",
"summary": None,
"raw": "test raw output",
"pydantic": None,
"json_dict": {},
"output_format": "json",
"agent": "test_agent",
},
"inputs": {"name": "John"},
},
],
):
crew.replay_from_task(str(task2.id))
# Check if the first task's output was set correctly
assert crew.tasks[0].output is not None
assert isinstance(crew.tasks[0].output, TaskOutput)
assert crew.tasks[0].output.description == "Context Task Output"
assert crew.tasks[0].output.agent == "test_agent"
assert crew.tasks[0].output.raw == "context raw output"
assert crew.tasks[0].output.output_format == OutputFormat.RAW
assert crew.tasks[1].prompt_context == "context raw output"

10
tests/task_test.py
View File

@@ -81,7 +81,7 @@ def test_task_prompt_includes_expected_output():
with patch.object(Agent, "execute_task") as execute:
execute.return_value = "ok"
task.execute_sync()
task.execute_sync(agent=researcher)
execute.assert_called_once_with(task=task, context=None, tools=[])
@@ -104,7 +104,7 @@ def test_task_callback():
with patch.object(Agent, "execute_task") as execute:
execute.return_value = "ok"
task.execute_sync()
task.execute_sync(agent=researcher)
task_completed.assert_called_once_with(task.output)
@@ -129,7 +129,7 @@ def test_task_callback_returns_task_ouput():
with patch.object(Agent, "execute_task") as execute:
execute.return_value = "exported_ok"
task.execute_sync()
task.execute_sync(agent=researcher)
# Ensure the callback is called with a TaskOutput object serialized to JSON
task_completed.assert_called_once()
callback_data = task_completed.call_args[0][0]
@@ -521,9 +521,7 @@ def test_save_task_json_output():
with patch.object(Task, "_save_file") as save_file:
save_file.return_value = None
crew.kickoff()
save_file.assert_called_once_with(
{"score": 4}
) # TODO: @Joao, should this be a dict or a json string?
save_file.assert_called_once_with({"score": 4})
@pytest.mark.vcr(filter_headers=["authorization"])