Tag: Branch: Tree: 4956bdca5f

data-init-fixes

master

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Commit Graph

11 Commits (4956bdca5fc39ebd0e2074b6cbfaa7103824ce78)

Author	SHA1	Message	Date
Eric0801	4956bdca5f	fix: ensure plotly backend is set in result_view and custom routes ... - Add pd.options.plotting.backend = 'plotly' at route level - Fixes matplotlib ImportError in Railway deployment - Ensures DataFrame.plot() uses plotly instead of matplotlib - Resolves Internal Server Error on result_view pages	2 months ago
Eric0801	e75773733c	fix: use role_map.get() to handle missing role keys safely ... - Replace role_map[key] with role_map.get(key, key) to prevent KeyError - Affects result_view and custom routes - Ensures backward compatibility with old strategy data - Fixes issue where strategies with unmapped roles cause page crashes	2 months ago
Eric0801	efbb22494e	fix: improve load_assets error handling and logging ... - Split data_tw and data_us loading into separate try-catch blocks - Add detailed logging for successful loads and errors - Ensure variables are always initialized to empty dict on failure - Fix potential None value issue in strategy_tw route	2 months ago
Eric0801	d3dd4efc53	debug: add detailed logging for Flask initialization	2 months ago
Eric0801	b50b9ee92d	fix: lazy load assets files to prevent startup failure	2 months ago
Eric0801	cbd580bb12	feat: V2 prompt system with benchmarks and CoT for Demo Day ... - Add investment_advice_v2.py (educational content) - Add market_benchmark.py (0050.TW/SPY real-time data) - Update main.py (CoT parameter support) - Update llm_service.py (V2 integration) - Update result_view.html (CoT toggle, marked.js) - Add render.yaml (deployment config) - Update .gitignore (protect .env, node_modules, logs)	2 months ago
Eric0801	45e9ea7ec2	Add LLM investment advice feature with OpenAI integration\n\n- Created llm_service.py with comprehensive LLM advisor\n- Added config_openai.py for API configuration\n- Created prompts/investment_advice.py with prompt templates\n- Updated requirements.txt with OpenAI dependency\n- Modified main.py with /api/llm_advice endpoint\n- Enhanced result_view.html with LLM advice section\n- Added CSS styling for better UI\n- Created LLM_SETUP.md setup guide\n- Added test_llm_service.py for testing\n- Implemented caching, retry logic, and error handling\n- Features: strategy analysis, risk assessment, market insights	3 months ago
joseph	493dd6f89f	add new class	2 years ago
joseph	8cb0ea7b6d	add effective user&strategy and strategy result show time interval to second	2 years ago
joseph	645fb069fd	20230721 Finished auto deploy	2 years ago
joseph	9e7c4c973b	init	2 years ago