chore: import deployable mai-bot source tree

This commit is contained in:
2026-05-11 00:51:12 +00:00
parent 4813699b3e
commit 7a54015f94
1009 changed files with 312999 additions and 16 deletions

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import sys
import types
import importlib
import pytest
from pathlib import Path
import importlib.util
class DummyLogger:
def info(self, *a, **k):
pass
def warning(self, *a, **k):
pass
def error(self, *a, **k):
pass
class DummySession:
def __init__(self):
self.record = None
def exec(self, *a, **k):
record = self.record
class R:
def first(self):
return record
def yield_per(self, n):
if record is None:
return iter(())
return iter((record,))
return R()
def add(self, record, *a, **k):
self.record = record
def flush(self, *a, **k):
pass
def delete(self, *a, **k):
self.record = None
def expunge(self, *a, **k):
pass
def __enter__(self):
return self
def __exit__(self, exc_type, exc, tb):
return False
class DummyMaiImage:
def __init__(self, full_path=None, image_bytes=None):
self.full_path = full_path
self.image_bytes = image_bytes
self.file_hash = "dummy-hash"
self.image_format = "png"
self.description = ""
self.vlm_processed = False
@classmethod
def from_db_instance(cls, record):
image = cls(full_path=getattr(record, "full_path", None))
image.file_hash = getattr(record, "image_hash", "dummy-hash")
image.description = getattr(record, "description", "")
image.vlm_processed = getattr(record, "vlm_processed", False)
return image
def to_db_instance(self):
return types.SimpleNamespace(
description=self.description,
full_path=str(self.full_path) if self.full_path is not None else "",
id=1,
image_hash=self.file_hash,
image_type="image",
last_used_time=None,
no_file_flag=False,
query_count=0,
register_time=None,
vlm_processed=self.vlm_processed,
)
async def calculate_hash_format(self):
self.file_hash = "dummy-hash"
return None
class DummyLLMRequest:
def __init__(self, *a, **k):
pass
async def generate_response_for_image(self, prompt, image_base64, image_format, temp):
return ("dummy description", {})
class DummyLLMServiceClient:
def __init__(self, *a, **k):
pass
async def generate_response_for_image(self, prompt, image_base64, image_format, options=None):
return types.SimpleNamespace(response="dummy description")
class DummySelect:
def __init__(self, *a, **k):
pass
def filter_by(self, *a, **k):
return self
def limit(self, n):
return self
class DetachedRecord:
def __init__(self, description="cached description", vlm_processed=True):
self._detached = False
self._description = description
self._vlm_processed = vlm_processed
@property
def description(self):
if not self._detached:
raise RuntimeError("attribute refresh operation cannot proceed")
return self._description
@property
def vlm_processed(self):
if not self._detached:
raise RuntimeError("attribute refresh operation cannot proceed")
return self._vlm_processed
class DetachedRecordSession(DummySession):
def __init__(self, record):
self.record = record
def exec(self, *a, **k):
record = self.record
class R:
def first(self):
return record
return R()
def expunge(self, record):
record._detached = True
@pytest.fixture(autouse=True)
def patch_external_dependencies(monkeypatch):
# Provide dummy implementations as modules so that importing image_manager is safe
# Patch LLMRequest
llm_mod = types.SimpleNamespace(LLMRequest=DummyLLMRequest)
monkeypatch.setitem(sys.modules, "src.llm_models.utils_model", llm_mod)
llm_service_mod = types.SimpleNamespace(LLMServiceClient=DummyLLMServiceClient)
monkeypatch.setitem(sys.modules, "src.services.llm_service", llm_service_mod)
# Patch logger
logger_mod = types.SimpleNamespace(get_logger=lambda name: DummyLogger())
monkeypatch.setitem(sys.modules, "src.common.logger", logger_mod)
# Patch DB session provider
shared_session = DummySession()
db_mod = types.SimpleNamespace(get_db_session=lambda: shared_session)
monkeypatch.setitem(sys.modules, "src.common.database.database", db_mod)
# Patch database model types
db_model_mod = types.SimpleNamespace(Images=types.SimpleNamespace, ImageType=types.SimpleNamespace(IMAGE="image"))
monkeypatch.setitem(sys.modules, "src.common.database.database_model", db_model_mod)
# Patch MaiImage data model
data_model_mod = types.SimpleNamespace(MaiImage=DummyMaiImage)
monkeypatch.setitem(sys.modules, "src.common.data_models.image_data_model", data_model_mod)
# Patch SQLModel select function
sql_mod = types.SimpleNamespace(select=lambda *a, **k: DummySelect())
monkeypatch.setitem(sys.modules, "sqlmodel", sql_mod)
# Patch prompt manager used to build image description prompt.
class _PromptManager:
def get_prompt(self, _name):
return types.SimpleNamespace()
async def render_prompt(self, _prompt):
return "test-style"
prompt_manager_mod = types.SimpleNamespace(prompt_manager=_PromptManager())
monkeypatch.setitem(sys.modules, "src.prompt.prompt_manager", prompt_manager_mod)
llm_options_mod = types.SimpleNamespace(LLMImageOptions=lambda **kwargs: types.SimpleNamespace(**kwargs))
monkeypatch.setitem(sys.modules, "src.common.data_models.llm_service_data_models", llm_options_mod)
# If module already imported, reload it to apply patches
mod_name = "src.chat.image_system.image_manager"
if mod_name in sys.modules:
importlib.reload(sys.modules[mod_name])
yield
def _load_image_manager_module(tmp_path=None):
repo_root = Path(__file__).parent.parent.parent
file_path = repo_root / "src" / "chat" / "image_system" / "image_manager.py"
spec = importlib.util.spec_from_file_location("image_manager_test_loaded", str(file_path))
mod = importlib.util.module_from_spec(spec)
sys.modules[spec.name] = mod
spec.loader.exec_module(mod)
# Redirect IMAGE_DIR to pytest's tmp_path when provided
try:
if tmp_path is not None:
tmpdir = Path(tmp_path)
tmpdir.mkdir(parents=True, exist_ok=True)
mod.IMAGE_DIR = tmpdir
except Exception:
pass
return mod
@pytest.mark.asyncio
async def test_get_image_description_generates(tmp_path):
image_manager = _load_image_manager_module(tmp_path)
mgr = image_manager.ImageManager()
desc = await mgr.get_image_description(image_bytes=b"abc")
assert desc == "dummy description"
def test_get_image_from_db_none(tmp_path):
image_manager = _load_image_manager_module(tmp_path)
mgr = image_manager.ImageManager()
assert mgr.get_image_from_db("nohash") is None
def test_register_image_to_db(tmp_path):
image_manager = _load_image_manager_module(tmp_path)
mgr = image_manager.ImageManager()
p = tmp_path / "img.png"
p.write_bytes(b"data")
img = DummyMaiImage(full_path=p, image_bytes=b"data")
assert mgr.register_image_to_db(img) is True
def test_update_image_description_not_found(tmp_path):
image_manager = _load_image_manager_module(tmp_path)
mgr = image_manager.ImageManager()
img = DummyMaiImage()
img.file_hash = "nohash"
img.description = "desc"
assert mgr.update_image_description(img) is False
def test_delete_image_not_found(tmp_path):
image_manager = _load_image_manager_module(tmp_path)
mgr = image_manager.ImageManager()
img = DummyMaiImage()
img.file_hash = "nohash"
img.full_path = tmp_path = None
assert mgr.delete_image(img) is False
@pytest.mark.asyncio
async def test_save_image_and_process_and_cleanup(tmp_path):
image_manager = _load_image_manager_module(tmp_path)
mgr = image_manager.ImageManager()
# call save_image_and_process
image = await mgr.save_image_and_process(b"binarydata")
assert getattr(image, "description", None) == "dummy description"
# cleanup should run without error
mgr.cleanup_invalid_descriptions_in_db()
@pytest.mark.asyncio
async def test_get_image_description_returns_cached_description_after_session_closed(monkeypatch, tmp_path):
image_manager = _load_image_manager_module(tmp_path)
cached_record = DetachedRecord()
monkeypatch.setattr(image_manager, "get_db_session", lambda: DetachedRecordSession(cached_record))
mgr = image_manager.ImageManager()
desc = await mgr.get_image_description(image_hash="cached-hash", wait_for_build=False)
assert desc == "cached description"

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from pathlib import Path
from types import SimpleNamespace
import io
from PIL import Image as PILImage
import pytest
from src.common.data_models.image_data_model import MaiEmoji, MaiImage
def _build_test_image_bytes(image_format: str) -> bytes:
image = PILImage.new("RGB", (8, 8), color="white")
buffer = io.BytesIO()
image.save(buffer, format=image_format)
return buffer.getvalue()
@pytest.mark.asyncio
async def test_calculate_hash_format_updates_runtime_path_metadata(tmp_path: Path) -> None:
image_bytes = _build_test_image_bytes("JPEG")
tmp_file_path = tmp_path / "emoji.tmp"
tmp_file_path.write_bytes(image_bytes)
emoji = MaiEmoji(full_path=tmp_file_path, image_bytes=image_bytes)
assert await emoji.calculate_hash_format() is True
assert emoji.image_format == "jpeg"
assert emoji.full_path.suffix == ".jpeg"
assert emoji.file_name == emoji.full_path.name
assert emoji.dir_path == tmp_path.resolve()
@pytest.mark.asyncio
async def test_calculate_hash_format_reuses_existing_target_file(tmp_path: Path) -> None:
image_bytes = _build_test_image_bytes("JPEG")
tmp_file_path = tmp_path / "emoji.tmp"
target_file_path = tmp_path / "emoji.jpeg"
tmp_file_path.write_bytes(image_bytes)
target_file_path.write_bytes(image_bytes)
emoji = MaiEmoji(full_path=tmp_file_path, image_bytes=image_bytes)
assert await emoji.calculate_hash_format() is True
assert emoji.full_path == target_file_path.resolve()
assert emoji.file_name == target_file_path.name
assert not tmp_file_path.exists()
assert target_file_path.exists()
@pytest.mark.parametrize(
("model_cls", "extra_fields"),
[
(
MaiEmoji,
{
"description": "",
"last_used_time": None,
"query_count": 0,
"register_time": None,
},
),
(
MaiImage,
{
"description": "",
"vlm_processed": False,
},
),
],
)
def test_from_db_instance_restores_image_format_from_path(
tmp_path: Path,
model_cls: type[MaiEmoji] | type[MaiImage],
extra_fields: dict[str, object],
) -> None:
image_path = tmp_path / "cached.png"
image_path.write_bytes(_build_test_image_bytes("PNG"))
record = SimpleNamespace(
no_file_flag=False,
image_hash="hash",
full_path=str(image_path),
**extra_fields,
)
image = model_cls.from_db_instance(record)
assert image.full_path == image_path.resolve()
assert image.file_name == image_path.name
assert image.image_format == "png"