Merge branch 'main' into feature/procedure_v2

This commit is contained in:
Brandon Hancock
2024-07-16 10:34:55 -04:00
32 changed files with 8970 additions and 1792 deletions

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import hashlib
from typing import Any, List, Optional
from crewai.agents.agent_builder.base_agent import BaseAgent
from pydantic import BaseModel
class TestAgent(BaseAgent):
def execute_task(
self,
task: Any,
context: Optional[str] = None,
tools: Optional[List[Any]] = None,
) -> str:
return ""
def create_agent_executor(self, tools=None) -> None: ...
def _parse_tools(self, tools: List[Any]) -> List[Any]:
return []
def get_delegation_tools(self, agents: List["BaseAgent"]): ...
def get_output_converter(
self, llm: Any, text: str, model: type[BaseModel] | None, instructions: str
): ...
def test_key():
agent = TestAgent(
role="test role",
goal="test goal",
backstory="test backstory",
)
hash = hashlib.md5("test role|test goal|test backstory".encode()).hexdigest()
assert agent.key == hash

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@@ -1,5 +1,6 @@
"""Test Agent creation and execution basic functionality."""
import hashlib
import json
from concurrent.futures import Future
from unittest import mock
@@ -15,8 +16,10 @@ 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 +139,6 @@ 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 +586,6 @@ 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 +741,6 @@ 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
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@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 +1237,10 @@ 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 +1379,6 @@ 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 +1402,6 @@ 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 +1803,460 @@ 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"
def test_key():
tasks = [
Task(
description="Give me a list of 5 interesting ideas to explore for na article, what makes them unique and interesting.",
expected_output="Bullet point list of 5 important events.",
agent=researcher,
),
Task(
description="Write a 1 amazing paragraph highlight for each idea that showcases how good an article about this topic could be. Return the list of ideas with their paragraph and your notes.",
expected_output="A 4 paragraph article about AI.",
agent=writer,
),
]
crew = Crew(
agents=[researcher, writer],
process=Process.sequential,
tasks=tasks,
)
hash = hashlib.md5(
f"{researcher.key}|{writer.key}|{tasks[0].key}|{tasks[1].key}".encode()
).hexdigest()
assert crew.key == hash

View File

@@ -1,15 +1,15 @@
"""Test Agent creation and execution basic functionality."""
import hashlib
import json
from unittest.mock import MagicMock, patch
import pytest
from pydantic import BaseModel
from pydantic_core import ValidationError
from crewai import Agent, Crew, Process, Task
from crewai.tasks.task_output import TaskOutput
from crewai.utilities.converter import Converter
from pydantic import BaseModel
from pydantic_core import ValidationError
def test_task_tool_reflect_agent_tools():
@@ -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"])
@@ -793,3 +791,22 @@ def test_task_output_str_with_none():
)
assert str(task_output) == ""
def test_key():
original_description = "Give me a list of 5 interesting ideas about {topic} to explore for an article, what makes them unique and interesting."
original_expected_output = "Bullet point list of 5 interesting ideas about {topic}."
task = Task(
description=original_description,
expected_output=original_expected_output,
)
hash = hashlib.md5(
f"{original_description}|{original_expected_output}".encode()
).hexdigest()
assert task.key == hash, "The key should be the hash of the description."
task.interpolate_inputs(inputs={"topic": "AI"})
assert (
task.key == hash
), "The key should be the hash of the non-interpolated description."