[tpm] fix data init and daily updater (yfinance cols, threads, paths, ports) #1

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eatingchew wants to merge 12 commits from data-init-fixes into master

eatingchew commented 2 months ago

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更新資料到2025/09/23

eatingchew added 1 commit 2 months ago

a811f29f84 [tpm] fix data init and daily updater (yfinance cols, threads, paths, ports)

eatingchew commented 2 months ago

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good good good

eatingchew added 1 commit 2 months ago

9c6db84e15 Fix yfinance data download issues in data initialization scripts

- Updated data_clear&update_us_v0.py and data_clear&update_tw_v0.py
- Added proper error handling for empty DataFrames
- Added threads=False parameter to yf.download calls
- Added price column detection (Close vs Adj Close)
- Changed host from 'db' to 'localhost' for local execution
- Fixed float conversion for pandas Series elements
- Successfully updated US stocks (527 tickers) and TW stocks (1865 tickers) to 2025-09-24

eatingchew added 1 commit 2 months ago

086961bed7 Update requirements.txt and finalize data initialization scripts

- Updated yfinance from 0.2.22 to 0.2.26
- Updated requests from 2.28.2 to 2.31
- Updated numpy constraint to >=1.23.5
- Finalized data_clear&update scripts with proper error handling
- All data initialization scripts now working correctly

eatingchew added 1 commit 2 months ago

fd39ea0287 Infra and data updates: fix Redis volume, expose DB, stabilize yfinance ingestion\n\n- docker-compose: use named volume for redis-data; keep common_network; Flask reachable on 8007\n- data_clear&update_us_v0.py: host=localhost; safe price_col; float cast; threads=False\n- data_clear&update_tw_v0.py: same fixes as US; robust insert values\n- update_data_daily.py: consistency fixes for yf.download and price column\n- requirements: align versions for stability\n- Re-initialized US/TW data to latest (2025-09-24)

eatingchew added 1 commit 2 months ago

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

eatingchew added 1 commit 2 months ago

5a93aa5fb4 Fix unhashable type error in prompt templates\n\n- Fixed syntax error in prompts/investment_advice.py: {{}} -> {}\n- Cleaned up duplicate imports in llm_service.py\n- Removed unused lru_cache import\n- All prompt templates now work correctly\n- Demo script runs successfully

eatingchew added 1 commit 2 months ago

c35d0cd8aa Fix syntax error in test script\n\n- Corrected missing parenthesis in test_llm_service.py\n- All tests now pass successfully

eatingchew added 5 commits 1 month ago

3290b69d72 docs: add cursor.md guardrails to prevent tech debt; no code changes

bfe88e4b80 docs: add README with setup, workflow, and guardrails; no code changes

14407e04d2 feat: improve LLM output styling and prompt structure

- Modernize CSS styling with gradients, better typography, and responsive design
- Enhance prompt structure with emoji icons and clearer sections
- Integrate prompts/investment_advice.py templates into llm_service.py
- Add fallback mechanism for prompt templates
- Improve visual hierarchy and readability

1c16cb4321 [UX] Remove accordion, restore detailed prompt, keep popover options

- Removed accordion functionality as content became too sparse
- Restored detailed prompt structure from llm_service.py
- Enhanced fallback analysis with comprehensive metrics (VaR, R2, etc)
- Kept popover options for different analysis modes
- Updated max_tokens to 3000 for more detailed responses

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)

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Reference: eatingchew/TPM#1