WIP: PYTHON IS TRASH

This commit is contained in:
2026-03-05 13:57:03 -05:00
parent 5e69617f88
commit 01c5bb7947
5 changed files with 341 additions and 434 deletions

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@@ -1,122 +1,96 @@
import pytest
import pytest
from unittest.mock import patch
import json
from typing import Any
import orchestrator_pm
import conductor_tech_lead
import multi_agent_conductor
from models import Track, Ticket
from src import orchestrator_pm
from src import multi_agent_conductor
from src import conductor_tech_lead
from src.models import Ticket, Track, WorkerContext
@pytest.fixture
def mock_ai_client() -> Any:
with patch("ai_client.send") as mock_send:
yield mock_send
def test_generate_tracks() -> None:
mock_response = """
[
{"id": "track_1", "title": "Setup", "goal": "init project", "type": "setup"},
{"id": "track_2", "title": "Refactor", "goal": "decouple modules", "type": "refactor"}
]
"""
with patch("src.ai_client.send", return_value=mock_response):
tracks = orchestrator_pm.generate_tracks("Develop feature X", {}, [])
assert len(tracks) == 2
assert tracks[0]["id"] == "track_1"
assert tracks[1]["type"] == "refactor"
def test_generate_tracks(mock_ai_client: Any) -> None:
# Tier 1 (PM) response mock
mock_ai_client.return_value = json.dumps([
{"id": "track_1", "title": "Infrastructure Setup", "description": "Setup basic project structure"},
{"id": "track_2", "title": "Feature implementation", "description": "Implement core feature"}
])
user_request = "Build a new app"
project_config = {}
file_items = []
tracks = orchestrator_pm.generate_tracks(user_request, project_config, file_items)
assert len(tracks) == 2
assert tracks[0]["id"] == "track_1"
assert tracks[1]["id"] == "track_2"
mock_ai_client.assert_called_once()
def test_generate_tickets(mock_ai_client: Any) -> None:
mock_ai_client.return_value = json.dumps([
{"id": "T-001", "description": "Define interfaces", "depends_on": []},
{"id": "T-002", "description": "Implement interfaces", "depends_on": ["T-001"]}
])
track_brief = "Implement a new feature."
module_skeletons = "class Feature: pass"
tickets = conductor_tech_lead.generate_tickets(track_brief, module_skeletons)
assert len(tickets) == 2
assert tickets[0]["id"] == "T-001"
assert tickets[1]["id"] == "T-002"
assert tickets[1]["depends_on"] == ["T-001"]
def test_generate_tickets() -> None:
mock_response = """
[
{"id": "T1", "description": "task 1", "depends_on": []},
{"id": "T2", "description": "task 2", "depends_on": ["T1"]}
]
"""
with patch("src.ai_client.send", return_value=mock_response):
tickets = conductor_tech_lead.generate_tickets("Track goal", "code skeletons")
assert len(tickets) == 2
assert tickets[0]["id"] == "T1"
assert tickets[1]["depends_on"] == ["T1"]
def test_topological_sort() -> None:
tickets = [
{"id": "T-002", "description": "Dep on 001", "depends_on": ["T-001"]},
{"id": "T-001", "description": "Base", "depends_on": []},
{"id": "T-003", "description": "Dep on 002", "depends_on": ["T-002"]}
{"id": "T2", "depends_on": ["T1"]},
{"id": "T1", "depends_on": []}
]
sorted_tickets = conductor_tech_lead.topological_sort(tickets)
assert sorted_tickets[0]["id"] == "T-001"
assert sorted_tickets[1]["id"] == "T-002"
assert sorted_tickets[2]["id"] == "T-003"
assert sorted_tickets[0]["id"] == "T1"
assert sorted_tickets[1]["id"] == "T2"
def test_topological_sort_circular() -> None:
tickets = [
{"id": "T-001", "depends_on": ["T-002"]},
{"id": "T-002", "depends_on": ["T-001"]}
{"id": "T1", "depends_on": ["T2"]},
{"id": "T2", "depends_on": ["T1"]}
]
# Align with conductor_tech_lead.py wrapping of DAG errors
with pytest.raises(ValueError, match="DAG Validation Error"):
conductor_tech_lead.topological_sort(tickets)
def test_track_executable_tickets() -> None:
t1 = Ticket(id="T1", description="desc", status="todo", assigned_to="user")
t2 = Ticket(id="T2", description="desc", status="todo", assigned_to="user", depends_on=["T1"])
track = Track(id="track_1", description="desc", tickets=[t1, t2])
executable = track.get_executable_tickets()
assert len(executable) == 1
assert executable[0].id == "T1"
# Complete T1
t1.status = "completed"
t1 = Ticket(id="T1", description="d1", status="completed")
t2 = Ticket(id="T2", description="d2", status="todo", depends_on=["T1"])
t3 = Ticket(id="T3", description="d3", status="todo", depends_on=["T2"])
track = Track(id="TR1", description="track", tickets=[t1, t2, t3])
# T2 should be executable because T1 is completed
executable = track.get_executable_tickets()
assert len(executable) == 1
assert executable[0].id == "T2"
@pytest.mark.asyncio
async def test_conductor_engine_run(vlogger) -> None:
t1 = Ticket(id="T1", description="desc", status="todo", assigned_to="user")
t2 = Ticket(id="T2", description="desc", status="todo", assigned_to="user", depends_on=["T1"])
track = Track(id="track_1", description="desc", tickets=[t1, t2])
def test_conductor_engine_run() -> None:
t1 = Ticket(id="T1", description="d1", status="todo")
track = Track(id="TR1", description="track", tickets=[t1])
engine = multi_agent_conductor.ConductorEngine(track, auto_queue=True)
vlogger.log_state("T1 Initial Status", "todo", t1.status)
vlogger.log_state("T2 Initial Status", "todo", t2.status)
with patch("multi_agent_conductor.run_worker_lifecycle") as mock_worker:
# Mock worker to complete tickets
def complete_ticket(ticket, context, *args, **kwargs):
ticket.status = "completed"
mock_worker.side_effect = complete_ticket
await engine.run()
vlogger.log_state("T1 Final Status", "todo", t1.status)
vlogger.log_state("T2 Final Status", "todo", t2.status)
with patch("src.multi_agent_conductor.run_worker_lifecycle") as mock_run:
def side_effect(ticket, context, *args, **kwargs):
ticket.mark_complete()
return "Success"
mock_run.side_effect = side_effect
engine.run()
assert t1.status == "completed"
assert t2.status == "completed"
assert mock_worker.call_count == 2
vlogger.finalize("Orchestration Logic - Conductor Engine", "PASS", "Dependency order honored during run.")
assert mock_run.called
def test_conductor_engine_parse_json_tickets() -> None:
track = Track(id="track_1", description="desc")
engine = multi_agent_conductor.ConductorEngine(track, auto_queue=True)
json_data = json.dumps([
{"id": "T1", "description": "desc 1", "depends_on": []},
{"id": "T2", "description": "desc 2", "depends_on": ["T1"]}
])
track = Track(id="TR1", description="track", tickets=[])
engine = multi_agent_conductor.ConductorEngine(track)
json_data = '[{"id": "T1", "description": "desc", "depends_on": []}]'
engine.parse_json_tickets(json_data)
assert len(track.tickets) == 2
assert len(track.tickets) == 1
assert track.tickets[0].id == "T1"
assert track.tickets[1].id == "T2"
assert track.tickets[1].depends_on == ["T1"]
def test_run_worker_lifecycle_blocked(mock_ai_client: Any) -> None:
ticket = Ticket(id="T1", description="desc", status="todo", assigned_to="user")
context = multi_agent_conductor.WorkerContext(ticket_id="T1", model_name="model", messages=[])
mock_ai_client.return_value = "BLOCKED because of missing info"
multi_agent_conductor.run_worker_lifecycle(ticket, context)
assert ticket.status == "blocked"
assert ticket.blocked_reason == "BLOCKED because of missing info"
def test_run_worker_lifecycle_blocked() -> None:
ticket = Ticket(id="T1", description="desc", status="todo")
context = WorkerContext(ticket_id="T1", model_name="model", messages=[])
with patch("src.ai_client.send") as mock_ai_client, \
patch("src.ai_client.reset_session"), \
patch("src.ai_client.set_provider"), \
patch("src.multi_agent_conductor.confirm_spawn", return_value=(True, "p", "c")):
mock_ai_client.return_value = "BLOCKED because of missing info"
multi_agent_conductor.run_worker_lifecycle(ticket, context)
assert ticket.status == "blocked"
assert ticket.blocked_reason == "BLOCKED because of missing info"