Files
cowork-local/presentation/folder/ai_edit_model_resolver.py
T
vudt15andClaude Sonnet 5 0e51356a7d feat(R08): split ScheduleTaskTab, FolderTab, DashboardTab, StructureGraphView
Team Hoa, EPIC R08 (UI/Application Separation) - Team Hoa scope only
(R08-T11 -> T14; R08-T01->T10 belong to Team Duy/Team Nam).

- R08-T11: ui/schedule_task_tab.py (795 lines) -> presentation/scheduling/
  {kanban_board_widget,calendar_view_widget,ai_task_creator_dialog,
  ai_task_import_dialog,run_history_dialog}.py + schedule_task_tab.py
  shell. Kanban CRUD/drag-drop now goes through
  application/scheduling/task_application_service.py (R07-T04) instead of
  ~30 lines of inline if/elif per drag target.
- R08-T12: ui/folder_tab.py (1587 lines, the largest of the four) ->
  presentation/folder/{workspace_file_tree,document_preview_manager,
  code_editor,office_document_renderer,ai_file_editor_dialog,
  ai_edit_model_resolver,ai_edit_pipeline}.py + folder_tab.py shell.
  Closes the R06-T05 loop: FileWorkspaceService existed since R06 with
  zero production call sites (confirmed by grep); every plain-text write
  (save/create/write_content) now goes through it, gaining path
  containment and a Python-syntax warning the original code never had.
  Pure helpers (_read_text, _is_probably_text, _pptx_available,
  _split_code_block, _parse_ai_output) moved to
  application/workspaces/{file_preview_helpers,ai_edit_output}.py.
- R08-T13: ui/dashboard_tab.py (437 lines) -> presentation/dashboard/
  {token_usage_card_widget,usage_chart_widget,habits_widget}.py +
  dashboard_tab.py shell, backed by a new
  application/monitoring/dashboard_query_service.py (pricing/period/
  summary queries the three widgets used to each recompute separately).
  Directory-ownership note left in the checklist for Team Nam.
- R08-T14: ui/structure_graph_view.py (1035 lines) ->
  presentation/graph/{graph_scene_items,graph_renderer,
  graph_messages_view,graph_qa_widget}.py + structure_graph_view.py
  shell. Extraction helpers (_pdf_to_markdown, _extract_file_contents)
  moved to application/workspaces/graph_index_service.py (pure Python).
  Renderer and Q&A panel talk only through signals
  (node_selected/graph_rendered/raw_json_ready/project_changed) - neither
  imports the other.
- presentation/shared/web_engine_support.py: HAS_WEB_ENGINE, previously
  duplicated (folder_tab imported it FROM structure_graph_view.py) - now
  one shared flag instead of one screen importing another screen's module.

All four old ui/*.py files deleted; app.py and ui/workspace_tab.py updated
to the new import paths (each god-file only had 1-2 real construction
sites, so import sites were updated directly rather than kept as a
strangler-fig shim - unlike core/tools.py at R05, which had dozens).

pytest: 377 pass (+94 vs the R07 baseline of 328; same 4 pre-existing
failures as the R05/R06 baseline, unrelated to this work).
scripts/check_imports.py: PASS. python -c "import cowork_local.app": OK.
Every new file < 400 lines (largest: graph_renderer.py, 391).

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-08-27 20:55:32 +09:00

249 lines
10 KiB
Python

"""AiEditModelResolver — model picker + Auto Model Routing + image-model
discovery for the AI-Edit panel (R08-T12, extracted from
``ui/folder_tab.py::FolderTab``, lines 802-1036/911-961 of the original
1587-line file: ``refresh_ai_models``, ``_scan_all_image_models``,
``_ai_provider``, ``_ai_apply_routing``, ``_confirm_routing_switch``,
``_ai_image_model``, ``_maybe_suggest_image_model``,
``_suggest_cross_provider_image``).
A plain (non-Qt-widget) helper composed BY
``ai_file_editor_dialog.py::AiFileEditorDialog`` — this is genuinely a
distinct concern (which provider/model answers THIS run) from the panel's
send/plan/edit orchestration, and splitting it out is also what keeps
``ai_file_editor_dialog.py`` under the 400-line cap.
"""
from __future__ import annotations
from typing import Any, List, Optional, Tuple
from cowork_local.core.worker import AgentWorker
from cowork_local.i18n import tr
class AiEditModelResolver:
"""Owns the AI-edit model combo's contents and every "which provider/
model should THIS run use" decision — independent of the Cowork/Settings
agent, exactly like the original panel's own picker was.
Args:
ctx: ``AppContext``.
model_combo: the ``QComboBox`` populated by :meth:`refresh`.
on_status: ``(text) -> None`` — posts a status line into the AI
chat (production passes ``ai_chat.add_status``).
confirm_switch: ``(self, decision, timeout) -> bool`` — the Qt
confirm dialog for Manual routing mode (kept as a callback so
this class never imports a dialog itself).
"""
def __init__(self, ctx, model_combo, on_status, confirm_switch) -> None:
self.ctx = ctx
self._combo = model_combo
self._on_status = on_status
self._confirm_switch = confirm_switch
self._models: List[str] = []
self._models_provider = ""
self._all_image_models: List[Tuple[str, str]] = [] # [(provider_key, model)]
self._img_scan_worker = None
self._pending_img_suggest = False
self._routed_provider: Optional[str] = None
self._routed_model: Optional[str] = None
@property
def models(self) -> List[str]:
return self._models
@property
def models_provider(self) -> str:
return self._models_provider
@property
def routed_provider(self) -> Optional[str]:
"""The provider :meth:`apply_routing` switched to for the current
run, or ``None`` when it didn't switch (routing off/declined)."""
return self._routed_provider
@property
def routed_model(self) -> Optional[str]:
return self._routed_model
def should_refresh(self) -> bool:
"""True on first open, or when the active provider changed since
the model list was last loaded — a stale list would resolve a pick
to the wrong/default model at the new endpoint."""
return self._combo.count() <= 1 or self._models_provider != self.ctx.config.active_provider
def refresh(self) -> None:
"""Fetch the active provider's model list (background) into the
picker. Also proactively scans ALL providers for image-capable
models so a suggestion is ready the moment one is needed."""
name = self.ctx.config.active_provider
setting_model = self.ctx.config.provider_conf(name).get("model", "")
def job(worker):
prov = self.ctx.build_provider_for(name)
try:
models = list(getattr(prov, "list_models", lambda: [])() or [])
except Exception: # noqa: BLE001
models = []
return {"models": models}
def done(res):
fetched = list(res.get("models", []))
# Always offer the Settings-configured model as an explicit
# choice, even when the provider can't list models.
self._models = list(dict.fromkeys(
([setting_model] if setting_model else []) + [m for m in fetched if m]))
self._models_provider = name
cur = self._combo.currentData()
self._combo.blockSignals(True)
self._combo.clear()
self._combo.addItem(tr("folder.ai_model_auto"), None)
for m in self._models:
self._combo.addItem(m, m)
idx = self._combo.findData(cur)
self._combo.setCurrentIndex(idx if idx >= 0 else 0)
self._combo.blockSignals(False)
w = AgentWorker(job)
w.finished_ok.connect(done)
self._models_worker = w
w.start()
self._scan_all_image_models()
def _scan_all_image_models(self, then_suggest: bool = False) -> None:
if self._img_scan_worker is not None:
if then_suggest:
self._pending_img_suggest = True
return
providers = dict(self.ctx.config.data.get("providers", {}))
candidates = [k for k, c in providers.items()
if (c.get("base_url") or c.get("api_key"))]
def job(worker):
from cowork_local.core import image_gen
found = []
for key in candidates:
try:
prov = self.ctx.build_provider_for(key)
models = list(getattr(prov, "list_models", lambda: [])() or [])
except Exception: # noqa: BLE001 - a broken provider must not block the scan
models = []
for m in models:
if image_gen.looks_like_image_model(m):
found.append((key, m))
return {"found": found}
def done(res):
self._img_scan_worker = None
self._all_image_models = list(res.get("found", []))
if self._pending_img_suggest:
self._pending_img_suggest = False
self._suggest_cross_provider_image()
w = AgentWorker(job)
w.finished_ok.connect(done)
w.failed.connect(self._on_image_scan_failed)
self._img_scan_worker = w
if then_suggest:
self._pending_img_suggest = True
w.start()
def _on_image_scan_failed(self, _err) -> None:
self._img_scan_worker = None
def provider(self) -> Any:
"""Build a provider using the model chosen in the picker ('(auto)'
-> the active provider's default), or an Auto/Manual routing
override set by :meth:`apply_routing` for the current run."""
if self._routed_provider or self._routed_model:
provider = self._routed_provider or self.ctx.config.active_provider
return self.ctx.build_provider_for(provider, self._routed_model or None)
model = self._combo.currentData()
return self.ctx.build_provider_for(self.ctx.config.active_provider, model or None)
def apply_routing(self, instruction: str) -> None:
"""Auto Model Routing for the AI-Edit surface (always a CODING
task). Sets the routing override :meth:`provider` honours."""
from cowork_local.core.routing.models import TaskType
self._routed_provider = None
self._routed_model = None
cur_provider = self.ctx.config.active_provider
picked = self._combo.currentData()
cur_model = picked or self.ctx.config.provider_conf(cur_provider).get("model", "")
decision = self.ctx.routing_application().route_turn(
"ai_edit", instruction, cur_provider, cur_model,
task_type=TaskType.CODING, confirm=self._confirm_switch,
)
if not decision.switched:
return
self._routed_provider, self._routed_model = decision.target()
self._on_status(tr(
"routing.switched_notice",
model=decision.model, task=decision.task_type,
gain=f"{decision.score_gain:.2f}"))
_IMAGE_WORDS = ("image", "picture", "photo", "illustration", "icon", "logo", "diagram",
"ảnh", "hình", "minh họa", "biểu tượng", "画像", "イラスト")
def maybe_suggest_image_model(self, instruction: str) -> None:
"""If the request looks image-related, suggest a suitable image
model BEFORE running — active provider first, then ALL providers."""
from cowork_local.core import image_gen
low = (instruction or "").lower()
if not any(w in low for w in self._IMAGE_WORDS):
return
picked = self._combo.currentData()
if picked and image_gen.looks_like_image_model(picked):
return
local = image_gen.suggest_image_model(self._models)
if local:
self._on_status(tr("folder.ai_image_suggest", model=local))
return
if self._all_image_models:
self._suggest_cross_provider_image()
elif self._img_scan_worker is not None:
self._pending_img_suggest = True
else:
self._scan_all_image_models(then_suggest=True)
def _suggest_cross_provider_image(self) -> None:
from cowork_local.config import PROVIDER_LABELS
if not self._all_image_models:
picked = self._combo.currentData()
if picked:
self._on_status(tr("folder.ai_image_use_selected", model=picked))
else:
self._on_status(tr("folder.ai_image_none"))
return
seen, lines = set(), []
for key, model in self._all_image_models:
tag = (key, model)
if tag in seen:
continue
seen.add(tag)
lines.append(f"• {model} ({PROVIDER_LABELS.get(key, key)})")
if len(lines) >= 5:
break
self._on_status(tr("folder.ai_image_suggest_all") + "\n" + "\n".join(lines))
def image_model(self) -> Tuple[Optional[str], Optional[str], Optional[str]]:
"""Resolve ``(model, base_url, api_key)`` for image generation,
searching ALL providers — see the module docstring for priority
order (picked model if image-capable -> active provider's image
model -> any other provider's -> fall back to the picked model)."""
from cowork_local.core import image_gen
picked = self._combo.currentData()
if picked and image_gen.looks_like_image_model(picked):
return picked, None, None
local = image_gen.suggest_image_model(self._models)
if local:
return local, None, None
for key, model in self._all_image_models:
conf = self.ctx.config.provider_conf(key)
return model, (conf.get("base_url") or None), (conf.get("api_key") or None)
return (picked or None), None, None
__all__ = ["AiEditModelResolver"]