CI / test (push) Canceled after 0s
fix các bug theo yêu cầu https://fptsoftware362-my.sharepoint.com/❌/g/personal/nampdt_fpt_com/IQAHBJ4A9xqDTLgvt2bhukJEAdRB5LRz2hbJpTivvIiBSYM?wdExp=TEAMS-TREATMENT&web=1&isSPOFile=1&ovuser=f01e930a-b52e-42b1-b70f-a8882b5d043b%2CAnhTNM1%40fpt.com&clickparams=eyJBcHBOYW1lIjoiVGVhbXMtRGVza3RvcCIsIkFwcFZlcnNpb24iOiI0OS8yNjA4MTMxOTMxNyIsIkhhc0ZlZGVyYXRlZFVzZXIiOmZhbHNlfQ%3D%3D --------- Co-authored-by: Duy Le Huu <duylh19@fpt.com> Reviewed-on: #10 Co-authored-by: Anh Tran Nguyen Minh <anhtnm1@fpt.com>
189 lines
8.4 KiB
Python
189 lines
8.4 KiB
Python
"""HabitsWidget — the usage-habits summary + AI recommendations panel of the
|
||
Dashboard (R08-T13, extracted from ``ui/dashboard_tab.py::DashboardTab``,
|
||
lines 154-184/348-372/376-438 of the original 437-line file: the habits/AI
|
||
layout, ``refresh()``'s habits-HTML section, ``_apply_saving_strategy``,
|
||
``_ai_analyze``).
|
||
"""
|
||
from __future__ import annotations
|
||
|
||
from datetime import date
|
||
from typing import List, Optional
|
||
|
||
from PySide6.QtWidgets import QHBoxLayout, QLabel, QPushButton, QTextBrowser, QVBoxLayout, QWidget
|
||
from PySide6.QtCore import Signal
|
||
|
||
from cowork_local.application.monitoring import DashboardQueryService
|
||
from cowork_local.core.worker import AgentWorker
|
||
from cowork_local.i18n import tr
|
||
from cowork_local.ui.icons import icon
|
||
from cowork_local.ui.widgets import fmt_tokens
|
||
|
||
|
||
class HabitsWidget(QWidget):
|
||
"""Thẻ "Thói quen dùng model" của Dashboard, kèm phần AI phân tích.
|
||
|
||
Chỉ gửi SỐ LIỆU đã tổng hợp lên provider, không bao giờ gửi nội dung
|
||
prompt thật — xem :meth:`_ai_analyze`.
|
||
"""
|
||
status_message = Signal(str)
|
||
|
||
def __init__(self, ctx, query: DashboardQueryService, parent=None):
|
||
"""Bảng thói quen dùng model, kèm nút nhờ model tự nhận xét.
|
||
|
||
Kỳ đang xem được nhớ lại ở mỗi lần ``refresh()`` để nút nhận xét dùng đúng
|
||
khoảng thời gian đang hiện trên màn hình.
|
||
"""
|
||
super().__init__(parent)
|
||
self.ctx = ctx
|
||
self._query = query
|
||
self._ai_worker: Optional[AgentWorker] = None
|
||
self._period_range = (None, None) # set on each refresh(); _ai_analyze reuses it
|
||
|
||
root = QVBoxLayout(self)
|
||
root.setContentsMargins(0, 0, 0, 0)
|
||
self._habits_title = QLabel()
|
||
self._habits_title.setStyleSheet("font-weight:600;")
|
||
habits_head = QHBoxLayout()
|
||
self.ai_analyze_btn = QPushButton()
|
||
self.ai_analyze_btn.setIcon(icon("sparkle"))
|
||
self.ai_analyze_btn.clicked.connect(self._ai_analyze)
|
||
# Apply an AI-suggested cost-saving strategy — only after the user
|
||
# clicks to approve it.
|
||
self.apply_strategy_btn = QPushButton()
|
||
self.apply_strategy_btn.setIcon(icon("bolt"))
|
||
self.apply_strategy_btn.setVisible(False)
|
||
self.apply_strategy_btn.clicked.connect(self._apply_saving_strategy)
|
||
habits_head.addWidget(self._habits_title, 1)
|
||
habits_head.addWidget(self.apply_strategy_btn)
|
||
habits_head.addWidget(self.ai_analyze_btn)
|
||
root.addLayout(habits_head)
|
||
self.habits = QTextBrowser()
|
||
self.habits.setOpenExternalLinks(False)
|
||
self.habits.setMinimumHeight(160)
|
||
root.addWidget(self.habits, 1)
|
||
self._ai_title = QLabel()
|
||
self._ai_title.setStyleSheet("font-weight:600;")
|
||
self._ai_title.setVisible(False)
|
||
root.addWidget(self._ai_title)
|
||
self.ai_advice = QTextBrowser()
|
||
self.ai_advice.setOpenExternalLinks(False)
|
||
self.ai_advice.setMinimumHeight(140)
|
||
self.ai_advice.setVisible(False)
|
||
root.addWidget(self.ai_advice, 1)
|
||
|
||
self.retranslate()
|
||
|
||
def retranslate(self) -> None:
|
||
"""Áp lại chữ theo ngôn ngữ đang chọn."""
|
||
self.ai_analyze_btn.setText(tr("dashboard.ai_analyze_btn"))
|
||
self.ai_analyze_btn.setToolTip(tr("dashboard.ai_analyze_tooltip"))
|
||
self.apply_strategy_btn.setText(tr("dashboard.strategy_btn"))
|
||
self.apply_strategy_btn.setToolTip(tr("dashboard.strategy_tooltip"))
|
||
self._habits_title.setText(tr("dashboard.habits_title"))
|
||
|
||
def refresh(self, start: date, end: date) -> None:
|
||
"""Vẽ lại bảng thói quen dùng model cho một kỳ, và nhớ kỳ đó cho nút AI phân tích."""
|
||
self._period_range = (start, end)
|
||
summary = self._query.summary(start, end)
|
||
s, events = summary["stats"], summary["events"]
|
||
|
||
lines: List[str] = []
|
||
if not events:
|
||
lines.append(f"<i>{tr('dashboard.no_data')}</i>")
|
||
else:
|
||
lines.append(f"<b>{tr('dashboard.h_top')}</b>")
|
||
lines.append("<ol>")
|
||
for label, tok in s["top_labels"]:
|
||
pct = int(tok * 100 / s["total"]) if s["total"] else 0
|
||
lines.append(f"<li>{label[:60]} — {fmt_tokens(tok)} tokens ({pct}%)</li>")
|
||
lines.append("</ol>")
|
||
src_parts = ", ".join(
|
||
f"{tr(f'app.tab.{k}') if k in ('cowork', 'code') else k}: {fmt_tokens(v)}"
|
||
for k, v in s["by_source"])
|
||
lines.append(f"<b>{tr('dashboard.h_by_source')}</b>: {src_parts}<br>")
|
||
lines.append(f"<b>{tr('dashboard.h_avg')}</b>: "
|
||
f"{fmt_tokens(s['avg_per_turn'])} tokens<br>")
|
||
if s["busiest_day"]:
|
||
lines.append(f"<b>{tr('dashboard.h_busiest_day')}</b>: {s['busiest_day']}<br>")
|
||
if s["busiest_hour"] is not None:
|
||
lines.append(f"<b>{tr('dashboard.h_busiest_hour')}</b>: "
|
||
f"{s['busiest_hour']:02d}:00–{s['busiest_hour']:02d}:59<br>")
|
||
if s["estimated_share"] > 0:
|
||
lines.append(f"<i>{tr('dashboard.estimated_note', pct=int(s['estimated_share'] * 100))}</i>")
|
||
self.habits.setHtml("".join(lines))
|
||
|
||
def _apply_saving_strategy(self) -> None:
|
||
"""Apply an AI-suggested cost-saving strategy AFTER the user
|
||
approves: turn on auto-compress and compress earlier (lower
|
||
threshold) + compress content before sending it to the agent."""
|
||
from ...ui.dialog_buttons import confirm
|
||
if not confirm(self, tr("dashboard.strategy_title"),
|
||
tr("dashboard.strategy_confirm")):
|
||
return
|
||
cx = self.ctx.config.data.setdefault("context", {})
|
||
cx["auto_compact"] = True
|
||
cx["compact_threshold"] = 0.6 # compress at 60% of the window (was ~80%)
|
||
cx["compress_before_send"] = True # digest context before each turn
|
||
self.ctx.save()
|
||
self.status_message.emit(tr("dashboard.strategy_applied"))
|
||
|
||
def _ai_analyze(self) -> None:
|
||
"""✨ Send the aggregated numbers (never raw prompt text) to the
|
||
active provider and show habit feedback + token-saving
|
||
recommendations."""
|
||
if self._ai_worker is not None:
|
||
return
|
||
start, end = self._period_range
|
||
if start is None:
|
||
return
|
||
summary = self._query.summary(start, end)
|
||
if not summary["events"]:
|
||
self.status_message.emit(tr("dashboard.no_data"))
|
||
return
|
||
stats = summary["stats"]
|
||
self.ai_analyze_btn.setEnabled(False)
|
||
self.ai_analyze_btn.setText(tr("dashboard.ai_analyzing"))
|
||
ctx = self.ctx
|
||
|
||
def job(worker: AgentWorker):
|
||
"""Chạy nền: gửi SỐ LIỆU đã tổng hợp (không bao giờ gửi nội dung prompt thật)
|
||
cho model và xin nhận xét cùng gợi ý tiết kiệm token.
|
||
"""
|
||
from cowork_local.core import usage_tracker as ut
|
||
from cowork_local.i18n import get_language
|
||
|
||
prompt = ut.build_ai_analysis_prompt(stats, get_language())
|
||
provider = ctx.build_active_provider()
|
||
reply = provider.chat([{"role": "user", "content": prompt}],
|
||
cancel=worker.stop_event)
|
||
return {"text": (reply.get("content") or "").strip()}
|
||
|
||
def done(result: dict) -> None:
|
||
"""Hiện nhận xét của AI và mở nút "Áp dụng chiến lược tiết kiệm"."""
|
||
self._ai_worker = None
|
||
self.ai_analyze_btn.setEnabled(True)
|
||
self.ai_analyze_btn.setText(tr("dashboard.ai_analyze_btn"))
|
||
text = result.get("text") or ""
|
||
if text:
|
||
self._ai_title.setText(tr("dashboard.ai_advice_title"))
|
||
self._ai_title.setVisible(True)
|
||
self.ai_advice.setMarkdown(text)
|
||
self.ai_advice.setVisible(True)
|
||
self.apply_strategy_btn.setVisible(True)
|
||
|
||
def failed(err: str) -> None:
|
||
"""Phân tích lỗi: hiện lý do và mở khoá lại nút."""
|
||
self._ai_worker = None
|
||
self.ai_analyze_btn.setEnabled(True)
|
||
self.ai_analyze_btn.setText(tr("dashboard.ai_analyze_btn"))
|
||
self.status_message.emit(str(err))
|
||
|
||
w = AgentWorker(job)
|
||
w.finished_ok.connect(done)
|
||
w.failed.connect(failed)
|
||
self._ai_worker = w
|
||
w.start()
|
||
|
||
|
||
__all__ = ["HabitsWidget"]
|