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WIP: working replay feat fixing inputs, need tests
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Lorenze Jay
697
tests/cassettes/test_replay_feature.yaml
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697
tests/cassettes/test_replay_feature.yaml
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Systems"},"logprobs":null,"finish_reason":null}]}
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|
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|
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data: {"id":"chatcmpl-9j7Qz3vXpsGKDVKeZa6oBvQ1PkdmE","object":"chat.completion.chunk","created":1720540365,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_ce0793330f","choices":[{"index":0,"delta":{"content":"Driven"},"logprobs":null,"finish_reason":null}]}
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|
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|
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data: {"id":"chatcmpl-9j7Qz3vXpsGKDVKeZa6oBvQ1PkdmE","object":"chat.completion.chunk","created":1720540365,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_ce0793330f","choices":[{"index":0,"delta":{"content":"
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data: {"id":"chatcmpl-9j7Qz3vXpsGKDVKeZa6oBvQ1PkdmE","object":"chat.completion.chunk","created":1720540365,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_ce0793330f","choices":[{"index":0,"delta":{"content":"ups"},"logprobs":null,"finish_reason":null}]}
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data: {"id":"chatcmpl-9j7Qz3vXpsGKDVKeZa6oBvQ1PkdmE","object":"chat.completion.chunk","created":1720540365,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_ce0793330f","choices":[{"index":0,"delta":{"content":"\n"},"logprobs":null,"finish_reason":null}]}
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data: {"id":"chatcmpl-9j7Qz3vXpsGKDVKeZa6oBvQ1PkdmE","object":"chat.completion.chunk","created":1720540365,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_ce0793330f","choices":[{"index":0,"delta":{"content":"-"},"logprobs":null,"finish_reason":null}]}
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and"},"logprobs":null,"finish_reason":null}]}
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Against"},"logprobs":null,"finish_reason":null}]}
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|
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Threat"},"logprobs":null,"finish_reason":null}]}
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data: {"id":"chatcmpl-9j7Qz3vXpsGKDVKeZa6oBvQ1PkdmE","object":"chat.completion.chunk","created":1720540365,"model":"gpt-4o-2024-05-13","system_fingerprint":"fp_ce0793330f","choices":[{"index":0,"delta":{"content":"s"},"logprobs":null,"finish_reason":null}]}
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||||
|
||||
|
||||
data: [DONE]
|
||||
|
||||
|
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'
|
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- keep-alive
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Content-Type:
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x-ratelimit-remaining-tokens:
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status:
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message: OK
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version: 1
|
||||
@@ -559,7 +559,6 @@ def test_hierarchical_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",
|
||||
@@ -713,7 +712,6 @@ 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
|
||||
@@ -1138,8 +1136,6 @@ 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():
|
||||
from unittest.mock import patch
|
||||
|
||||
researcher = Agent(
|
||||
role="Researcher",
|
||||
goal="Make the best research and analysis on content about AI and AI agents",
|
||||
@@ -1825,3 +1821,68 @@ def test__setup_for_training():
|
||||
# TODO: TEST EXPORT OUTPUT TASK WITH PYDANTIC
|
||||
# TODO: TEST EXPORT OUTPUT TASK WITH JSON
|
||||
# TODO: TEST EXPORT OUTPUT TASK CALLBACK
|
||||
|
||||
|
||||
@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_output="Mocked output for list of ideas",
|
||||
agent="Researcher",
|
||||
)
|
||||
|
||||
crew.kickoff()
|
||||
crew.replay_from_task(str(write.id))
|
||||
# Ensure context was passed correctly
|
||||
context_passed = mock_execute_task.call_args_list[1][1]["context"]
|
||||
assert (
|
||||
"Mocked output for list of ideas" in context_passed
|
||||
) # ensure context passed
|
||||
assert mock_execute_task.call_count == 3
|
||||
|
||||
|
||||
# TODO: ENSURE INPUTS PASSED PROPERLY ONTO OUTPUT_JSON
|
||||
@pytest.mark.vcr(filter_headers=["authorization"])
|
||||
def test_replay_feature_ensure_inputs_passed():
|
||||
agent = Agent(
|
||||
role="{topic} Researcher",
|
||||
goal="Express hot takes on {topic}.",
|
||||
backstory="You have a lot of experience with {topic}.",
|
||||
)
|
||||
|
||||
task = Task(
|
||||
description="Give me an analysis around {topic}.",
|
||||
expected_output="{points} bullet points about {topic}.",
|
||||
agent=agent,
|
||||
)
|
||||
|
||||
crew = Crew(agents=[agent], tasks=[task])
|
||||
inputs = {"topic": "AI", "points": 5}
|
||||
crew._interpolate_inputs(inputs=inputs) # Manual call for now
|
||||
# TODO: ENSURE INPUTS PASSED PROPERLY ONTO OUTPUT_JSON
|
||||
# TODO: PATCH _store_execution_log WITH ATTR _inputs
|
||||
|
||||
# assert crew.tasks[0].description == "Give me an analysis around AI."
|
||||
# assert crew.tasks[0].expected_output == "5 bullet points about AI."
|
||||
# assert crew.agents[0].role == "AI Researcher"
|
||||
# assert crew.agents[0].goal == "Express hot takes on AI."
|
||||
# assert crew.agents[0].backstory == "You have a lot of experience with AI."
|
||||
|
||||
Reference in New Issue
Block a user