- Font: replace SF Pro with DM Sans (web-available) throughout
- Typography: consistent DM Sans stack, monospace data display
- ScreeningPanel: add horizontal scroll for mobile, fix stat card hover
- AnalysisMonitor: Apple progress bar, stage pills, decision badge
- BatchManager: add copy-to-clipboard for task IDs, fix error tooltip truncation, add CTA to empty state
- ReportsViewer: Apple-styled modal, search bar consistency
- Keyboard: add Escape to close modals
- CSS: progress bar ease-out, sidebar collapse button icon-only mode
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(qa): ISSUE-001 — misleading empty state message in ScreeningPanel
When API returns 0 results, show '未找到符合条件的股票' instead of
'请先选择筛选模式并刷新' which implied no filtering had been done.
Issue found by /qa on main branch
* feat(web-dashboard): connect frontend to real backend API
Phase 1: Stabilize dashboard by connecting mock data to real backend.
Backend:
- Add GET /api/analysis/tasks endpoint for BatchManager
- Fix subprocess cancellation (poll() → returncode)
- Use sys.executable instead of hardcoded env312 path
- Move API key validation before storing task state (no phantom tasks)
Frontend:
- ScreeningPanel: handleStartAnalysis calls POST /api/analysis/start
- AnalysisMonitor: real WebSocket connection via useSearchParams + useRef
- BatchManager: polls GET /api/analysis/tasks, fixed retry button
- All mock data removed
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Apply review suggestions: use concise `or` pattern for API key
resolution, consolidate tests into parameterized subTest, move
import to module level per PEP 8.
GoogleClient now accepts the unified `api_key` parameter used by
OpenAI and Anthropic clients, mapping it to the provider-specific
`google_api_key` that ChatGoogleGenerativeAI expects. Legacy
`google_api_key` still works for backward compatibility.
Resolves TODO.md item #2 (inconsistent parameter handling).
Add effort parameter (high/medium/low) for Claude 4.5+ and 4.6 models,
consistent with OpenAI reasoning_effort and Google thinking_level.
Also add content normalization for Anthropic responses.
- Point requirements.txt to pyproject.toml as single source of truth
- Resolve welcome.txt path relative to module for CLI portability
- Include cli/static files in package build
- Extract shared normalize_content for OpenAI Responses API and
Gemini 3 list-format responses into base_client.py
- Update README install and CLI usage instructions
Enable use_responses_api for native OpenAI provider, which supports
reasoning_effort with function tools across all model families.
Removes the UnifiedChatOpenAI subclass workaround.
Closes#403
- Add http_client and http_async_client parameters to all LLM clients
- OpenAIClient, GoogleClient, AnthropicClient now support custom httpx clients
- Fixes SSL certificate verification errors on Windows Conda environments
- Users can now pass custom httpx.Client with verify=False or custom certs
Fixes#369
- OpenAI: add GPT-5.4, GPT-5.4 Pro; remove o-series and legacy GPT-4o
- Anthropic: add Claude Opus 4.6, Sonnet 4.6; remove legacy 4.1/4.0/3.x
- Google: add Gemini 3.1 Pro, 3.1 Flash Lite; remove deprecated
gemini-3-pro-preview and Gemini 2.0 series
- xAI: clean up model list to match current API
- Simplify UnifiedChatOpenAI GPT-5 temperature handling
- Add missing tradingagents/__init__.py (fixes pip install building)
Add _clean_dataframe() to normalize stock DataFrames before stockstats:
coerce invalid dates/prices, drop rows missing Close, fill price gaps.
Also add on_bad_lines="skip" to all cached CSV reads.
LLMs (especially smaller models) sometimes pass multiple indicator
names as a single comma-separated string instead of making separate
tool calls. Split and process each individually at the tool boundary.
InvestDebateState was missing bull_history, bear_history, judge_decision.
RiskDebateState was missing aggressive_history, conservative_history,
neutral_history, latest_speaker, judge_decision. This caused KeyError
in _log_state() and reflection, especially with edge-case config values.
Prevents UnicodeEncodeError on Windows where the default encoding
(cp1252/gbk) cannot handle Unicode characters in LLM output.
Closes#77, closes#114, closes#126, closes#215, closes#332
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