|
|
|
|
@ -1,152 +1,56 @@
|
|
|
|
|
from unittest.mock import MagicMock
|
|
|
|
|
|
|
|
|
|
import pytest
|
|
|
|
|
|
|
|
|
|
from swarms.structs.agent import Agent
|
|
|
|
|
from swarms.structs.majority_voting import MajorityVoting
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def test_majority_voting_run_concurrent(mocker):
|
|
|
|
|
# Create mock agents
|
|
|
|
|
agent1 = MagicMock(spec=Agent)
|
|
|
|
|
agent2 = MagicMock(spec=Agent)
|
|
|
|
|
agent3 = MagicMock(spec=Agent)
|
|
|
|
|
|
|
|
|
|
# Create mock majority voting
|
|
|
|
|
mv = MajorityVoting(
|
|
|
|
|
agents=[agent1, agent2, agent3],
|
|
|
|
|
concurrent=True,
|
|
|
|
|
multithreaded=False,
|
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
# Create mock conversation
|
|
|
|
|
conversation = MagicMock()
|
|
|
|
|
mv.conversation = conversation
|
|
|
|
|
|
|
|
|
|
# Create mock results
|
|
|
|
|
results = ["Paris", "Paris", "Lyon"]
|
|
|
|
|
|
|
|
|
|
# Mock agent.run method
|
|
|
|
|
agent1.run.return_value = results[0]
|
|
|
|
|
agent2.run.return_value = results[1]
|
|
|
|
|
agent3.run.return_value = results[2]
|
|
|
|
|
|
|
|
|
|
# Run majority voting
|
|
|
|
|
majority_vote = mv.run("What is the capital of France?")
|
|
|
|
|
|
|
|
|
|
# Assert agent.run method was called with the correct task
|
|
|
|
|
agent1.run.assert_called_once_with(
|
|
|
|
|
"What is the capital of France?"
|
|
|
|
|
)
|
|
|
|
|
agent2.run.assert_called_once_with(
|
|
|
|
|
"What is the capital of France?"
|
|
|
|
|
)
|
|
|
|
|
agent3.run.assert_called_once_with(
|
|
|
|
|
"What is the capital of France?"
|
|
|
|
|
from swarms import Agent
|
|
|
|
|
from swarms.prompts.finance_agent_sys_prompt import (
|
|
|
|
|
FINANCIAL_AGENT_SYS_PROMPT,
|
|
|
|
|
)
|
|
|
|
|
from swarms.structs.majority_voting import MajorityVoting
|
|
|
|
|
from dotenv import load_dotenv
|
|
|
|
|
|
|
|
|
|
def streaming_callback(agent_name: str, chunk: str, is_final: bool):
|
|
|
|
|
# Chunk buffer static per call (reset each session)
|
|
|
|
|
if not hasattr(streaming_callback, "_buffer"):
|
|
|
|
|
streaming_callback._buffer = ""
|
|
|
|
|
streaming_callback._buffer_size = 0
|
|
|
|
|
|
|
|
|
|
min_chunk_size = 512 # or any large chunk size you want
|
|
|
|
|
|
|
|
|
|
if chunk:
|
|
|
|
|
streaming_callback._buffer += chunk
|
|
|
|
|
streaming_callback._buffer_size += len(chunk)
|
|
|
|
|
if streaming_callback._buffer_size >= min_chunk_size or is_final:
|
|
|
|
|
if streaming_callback._buffer:
|
|
|
|
|
print(streaming_callback._buffer, end="", flush=True)
|
|
|
|
|
streaming_callback._buffer = ""
|
|
|
|
|
streaming_callback._buffer_size = 0
|
|
|
|
|
if is_final:
|
|
|
|
|
print()
|
|
|
|
|
|
|
|
|
|
load_dotenv()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
# Initialize the agent
|
|
|
|
|
agent = Agent(
|
|
|
|
|
agent_name="Financial-Analysis-Agent",
|
|
|
|
|
agent_description="Personal finance advisor agent",
|
|
|
|
|
system_prompt=FINANCIAL_AGENT_SYS_PROMPT,
|
|
|
|
|
max_loops=1,
|
|
|
|
|
model_name="gpt-4.1",
|
|
|
|
|
dynamic_temperature_enabled=True,
|
|
|
|
|
user_name="swarms_corp",
|
|
|
|
|
retry_attempts=3,
|
|
|
|
|
context_length=8192,
|
|
|
|
|
return_step_meta=False,
|
|
|
|
|
output_type="str", # "json", "dict", "csv" OR "string" "yaml" and
|
|
|
|
|
auto_generate_prompt=False, # Auto generate prompt for the agent based on name, description, and system prompt, task
|
|
|
|
|
max_tokens=4000, # max output tokens
|
|
|
|
|
saved_state_path="agent_00.json",
|
|
|
|
|
interactive=False,
|
|
|
|
|
streaming_on=True, #if concurrent agents want to be streamed
|
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
swarm = MajorityVoting(agents=[agent, agent, agent])
|
|
|
|
|
|
|
|
|
|
swarm.run(
|
|
|
|
|
"Create a table of super high growth opportunities for AI. I have $40k to invest in ETFs, index funds, and more. Please create a table in markdown.",
|
|
|
|
|
streaming_callback=streaming_callback,
|
|
|
|
|
|
|
|
|
|
# Assert conversation.add method was called with the correct responses
|
|
|
|
|
conversation.add.assert_any_call(agent1.agent_name, results[0])
|
|
|
|
|
conversation.add.assert_any_call(agent2.agent_name, results[1])
|
|
|
|
|
conversation.add.assert_any_call(agent3.agent_name, results[2])
|
|
|
|
|
|
|
|
|
|
# Assert majority vote is correct
|
|
|
|
|
assert majority_vote is not None
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def test_majority_voting_run_multithreaded(mocker):
|
|
|
|
|
# Create mock agents
|
|
|
|
|
agent1 = MagicMock(spec=Agent)
|
|
|
|
|
agent2 = MagicMock(spec=Agent)
|
|
|
|
|
agent3 = MagicMock(spec=Agent)
|
|
|
|
|
|
|
|
|
|
# Create mock majority voting
|
|
|
|
|
mv = MajorityVoting(
|
|
|
|
|
agents=[agent1, agent2, agent3],
|
|
|
|
|
concurrent=False,
|
|
|
|
|
multithreaded=True,
|
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
# Create mock conversation
|
|
|
|
|
conversation = MagicMock()
|
|
|
|
|
mv.conversation = conversation
|
|
|
|
|
|
|
|
|
|
# Create mock results
|
|
|
|
|
results = ["Paris", "Paris", "Lyon"]
|
|
|
|
|
|
|
|
|
|
# Mock agent.run method
|
|
|
|
|
agent1.run.return_value = results[0]
|
|
|
|
|
agent2.run.return_value = results[1]
|
|
|
|
|
agent3.run.return_value = results[2]
|
|
|
|
|
|
|
|
|
|
# Run majority voting
|
|
|
|
|
majority_vote = mv.run("What is the capital of France?")
|
|
|
|
|
|
|
|
|
|
# Assert agent.run method was called with the correct task
|
|
|
|
|
agent1.run.assert_called_once_with(
|
|
|
|
|
"What is the capital of France?"
|
|
|
|
|
)
|
|
|
|
|
agent2.run.assert_called_once_with(
|
|
|
|
|
"What is the capital of France?"
|
|
|
|
|
)
|
|
|
|
|
agent3.run.assert_called_once_with(
|
|
|
|
|
"What is the capital of France?"
|
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
# Assert conversation.add method was called with the correct responses
|
|
|
|
|
conversation.add.assert_any_call(agent1.agent_name, results[0])
|
|
|
|
|
conversation.add.assert_any_call(agent2.agent_name, results[1])
|
|
|
|
|
conversation.add.assert_any_call(agent3.agent_name, results[2])
|
|
|
|
|
|
|
|
|
|
# Assert majority vote is correct
|
|
|
|
|
assert majority_vote is not None
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
|
|
|
async def test_majority_voting_run_asynchronous(mocker):
|
|
|
|
|
# Create mock agents
|
|
|
|
|
agent1 = MagicMock(spec=Agent)
|
|
|
|
|
agent2 = MagicMock(spec=Agent)
|
|
|
|
|
agent3 = MagicMock(spec=Agent)
|
|
|
|
|
|
|
|
|
|
# Create mock majority voting
|
|
|
|
|
mv = MajorityVoting(
|
|
|
|
|
agents=[agent1, agent2, agent3],
|
|
|
|
|
concurrent=False,
|
|
|
|
|
multithreaded=False,
|
|
|
|
|
asynchronous=True,
|
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
# Create mock conversation
|
|
|
|
|
conversation = MagicMock()
|
|
|
|
|
mv.conversation = conversation
|
|
|
|
|
|
|
|
|
|
# Create mock results
|
|
|
|
|
results = ["Paris", "Paris", "Lyon"]
|
|
|
|
|
|
|
|
|
|
# Mock agent.run method
|
|
|
|
|
agent1.run.return_value = results[0]
|
|
|
|
|
agent2.run.return_value = results[1]
|
|
|
|
|
agent3.run.return_value = results[2]
|
|
|
|
|
|
|
|
|
|
# Run majority voting
|
|
|
|
|
majority_vote = await mv.run("What is the capital of France?")
|
|
|
|
|
|
|
|
|
|
# Assert agent.run method was called with the correct task
|
|
|
|
|
agent1.run.assert_called_once_with(
|
|
|
|
|
"What is the capital of France?"
|
|
|
|
|
)
|
|
|
|
|
agent2.run.assert_called_once_with(
|
|
|
|
|
"What is the capital of France?"
|
|
|
|
|
)
|
|
|
|
|
agent3.run.assert_called_once_with(
|
|
|
|
|
"What is the capital of France?"
|
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
# Assert conversation.add method was called with the correct responses
|
|
|
|
|
conversation.add.assert_any_call(agent1.agent_name, results[0])
|
|
|
|
|
conversation.add.assert_any_call(agent2.agent_name, results[1])
|
|
|
|
|
conversation.add.assert_any_call(agent3.agent_name, results[2])
|
|
|
|
|
|
|
|
|
|
# Assert majority vote is correct
|
|
|
|
|
assert majority_vote is not None
|
|
|
|
|
|