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Merge branch 'main' into feature/procedure_v2
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36
tests/agents/agent_builder/base_agent_test.py
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36
tests/agents/agent_builder/base_agent_test.py
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@@ -0,0 +1,36 @@
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import hashlib
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from typing import Any, List, Optional
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from crewai.agents.agent_builder.base_agent import BaseAgent
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from pydantic import BaseModel
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class TestAgent(BaseAgent):
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def execute_task(
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self,
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task: Any,
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context: Optional[str] = None,
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tools: Optional[List[Any]] = None,
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) -> str:
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return ""
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def create_agent_executor(self, tools=None) -> None: ...
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def _parse_tools(self, tools: List[Any]) -> List[Any]:
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return []
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def get_delegation_tools(self, agents: List["BaseAgent"]): ...
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def get_output_converter(
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self, llm: Any, text: str, model: type[BaseModel] | None, instructions: str
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): ...
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def test_key():
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agent = TestAgent(
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role="test role",
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goal="test goal",
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backstory="test backstory",
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)
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hash = hashlib.md5("test role|test goal|test backstory".encode()).hexdigest()
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assert agent.key == hash
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Load Diff
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Load Diff
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|
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||||
|
||||
@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
|
||||
@@ -1148,7 +1148,6 @@ 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 +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
|
||||
|
||||
@@ -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."
|
||||
|
||||
Reference in New Issue
Block a user