Files
odysseus/tests/test_chat_image_routing.py
T
pewdiepie-archdaemon 2e8413a54a Preserve preview harness, editor, email and task improvements
Snapshot current maintainer-preview application changes and regression fixtures for integration into lab. Excludes local runtime data, evaluation outputs and source backups. Focused Python regression selection: 140 passed; full suite not certified.
2026-10-01 01:34:26 +00:00

167 lines
6.2 KiB
Python

import sys
for mod_name in ["src.endpoint_resolver", "src.database", "core.database"]:
_mod = sys.modules.get(mod_name)
if _mod is not None and not getattr(_mod, "__file__", None):
sys.modules.pop(mod_name, None)
import json
import ast
import asyncio
import inspect
import time
from types import SimpleNamespace
import pytest
from src.tool_policy import build_effective_tool_policy
from tests.helpers.import_state import clear_fake_endpoint_resolver_modules
clear_fake_endpoint_resolver_modules("routes.chat_routes")
from routes import chat_routes
class _FakeQuery:
def __init__(self, rows):
self.rows = rows
def filter(self, *conditions):
return self
def all(self):
return list(self.rows)
class _FakeDb:
def __init__(self, rows):
self.rows = rows
self.closed = False
def query(self, model):
return _FakeQuery(self.rows)
def close(self):
self.closed = True
def _session(model="qwen3.5:latest", endpoint_url="http://localhost:11434/v1/chat/completions"):
return SimpleNamespace(model=model, endpoint_url=endpoint_url)
def _endpoint(base_url, model_type="image", models=None):
cached_models = None if models is None else json.dumps(models)
return SimpleNamespace(
base_url=base_url,
model_type=model_type,
is_enabled=True,
cached_models=cached_models,
)
def test_image_model_prefix_routes_to_image_generation_without_endpoint_lookup(monkeypatch):
def fail_if_called():
raise AssertionError("prefixed image models should not need a DB lookup")
monkeypatch.setattr(chat_routes, "SessionLocal", fail_if_called)
assert chat_routes._is_image_generation_session(_session(model="dall-e-3"))
def test_namespaced_gpt_image_model_routes_to_image_generation_without_endpoint_lookup(monkeypatch):
def fail_if_called():
raise AssertionError("provider-prefixed image models should not need a DB lookup")
monkeypatch.setattr(chat_routes, "SessionLocal", fail_if_called)
assert chat_routes._is_image_generation_session(_session(model="openai/gpt-5-image"))
def test_image_endpoint_does_not_catch_text_model_on_different_path(monkeypatch):
db = _FakeDb([
_endpoint("http://localhost:11434/v1/images", models=["sdxl-local"]),
])
monkeypatch.setattr(chat_routes, "SessionLocal", lambda: db)
assert not chat_routes._is_image_generation_session(_session())
assert db.closed
def test_image_endpoint_cache_must_contain_selected_model(monkeypatch):
db = _FakeDb([
_endpoint("http://localhost:11434/v1", models=["sdxl-local"]),
])
monkeypatch.setattr(chat_routes, "SessionLocal", lambda: db)
assert not chat_routes._is_image_generation_session(_session(model="qwen3.5:latest"))
def test_matching_image_endpoint_routes_selected_image_model(monkeypatch):
db = _FakeDb([
_endpoint("http://localhost:11434/v1", models=["sdxl-local"]),
])
monkeypatch.setattr(chat_routes, "SessionLocal", lambda: db)
assert chat_routes._is_image_generation_session(_session(model="sdxl-local"))
def test_image_model_bypasses_text_agent_inventory_only():
tree = ast.parse(inspect.getsource(chat_routes))
guard = next(node.test for node in ast.walk(tree)
if isinstance(node, ast.If)
and ast.unparse(node.test).startswith('_use_turn_contract and chat_mode'))
expression = compile(ast.Expression(guard), '<route guard>', 'eval')
for image_session in (True, False):
assert eval(expression, dict(_use_turn_contract=True, chat_mode='agent',
image_generation_session=image_session)) is not image_session
@pytest.mark.parametrize('editing', [False, True])
@pytest.mark.parametrize('restriction', ['none', 'generate_image', 'edit_image', 'guide', 'admin'])
def test_direct_image_dispatch_preserves_permissions(monkeypatch, editing, restriction):
# Execute the actual route branch with fake providers, avoiding paid calls
# and unrelated chat-context/database setup.
tree = ast.parse(inspect.getsource(chat_routes))
branch = next(node for node in ast.walk(tree)
if isinstance(node, ast.If)
and ast.unparse(node.test) == 'image_generation_session'
and any(isinstance(child, ast.Yield) for child in ast.walk(node)))
function = ast.AsyncFunctionDef(
name='dispatch', args=ast.arguments(posonlyargs=[], args=[], kwonlyargs=[],
kw_defaults=[], defaults=[]),
body=branch.body, decorator_list=[],
)
module = ast.fix_missing_locations(ast.Module(body=[function], type_ignores=[]))
calls = []
async def provider(*args, **kwargs):
calls.append((args, kwargs))
return {'results': 'Generated', 'image_url': '/test-image.png'}
from src import ai_interaction, settings
monkeypatch.setattr(ai_interaction, 'do_generate_image', provider)
monkeypatch.setattr(ai_interaction, 'do_edit_image', provider)
monkeypatch.setattr(settings, 'get_setting', lambda *args: restriction != 'admin')
policy = build_effective_tool_policy(
disabled_tools={restriction} if restriction.endswith('_image') else set(),
last_user_message='Do not use tools' if restriction == 'guide' else 'A thumbnail',
)
namespace = dict(
tool_policy=policy, chat_handler=None, att_ids=[], _user='test',
_first_image_attachment=lambda *args, **kwargs: {'path': '/test.png'} if editing else None,
message='A thumbnail', session='test-session', sess=_session(model='gpt-5-image'),
incognito=True, _active_streams={'test-session': object()},
asyncio=asyncio, time=time, json=json, Dict=dict, Any=object,
)
exec(compile(module, '<image route>', 'exec'), namespace)
async def collect():
return [event async for event in namespace['dispatch']()]
events = asyncio.run(collect())
blocked = restriction in {'generate_image', 'guide', 'admin'} or (editing and restriction == 'edit_image')
assert bool(calls) is not blocked
assert any('generated_image' in event for event in events) is not blocked
assert events[-1] == 'data: [DONE]\n\n'
assert not namespace['_active_streams']