---
phase: 9-real-bond-data
task: 5
total_tasks: 6
status: paused
last_updated: 2026-04-03T13:43:26.520Z
---

<current_state>
We have successfully implemented the "Real Corporate Bond Data Fetching Pipeline" (Phase 9) using an open-source Naver Finance scraper, substituted fake benchmark mappings with actual realistic ISINs (e.g. KR600538012C Hyundai Motor), and excluded `Rate` (SOFR/CD91D) from default simulations. We also fixed a fatal bug where empty Equity shock frames crashed the sqlite generation which 500'd the API. We are pausing to consolidate progress.
</current_state>

<completed_work>

- Task 1: Built `bond_data_fetcher.py` and decoupled `Rate` classification. - Done
- Task 2: Adjusted `create_security_master.py` to employ realistic ISINs (Samsung, Hyundai, KB, KTB). - Done
- Task 3: Modified `market_risk_engine.py` to execute accurately over mixed asset types. - Done
- Task 4: Solved API Internal Server Error caused by sqlite missing dataset. - Done
</completed_work>

<remaining_work>

- Task 5: Push documentation to Gitea Wiki (currently blocked by git remote auth, drafted locally instead).
</remaining_work>

<decisions_made>

- Decided to use hardcoded real ISINs linked to Naver Finance proxy representations because `pykrx` bond endpoints were broken, and generating/scraping raw issuance reports from DART/Seibro needs API Keys and is heavily captcha-gated.
</decisions_made>

<blockers>
- Gitea Wiki Clone: Failed due to network remote reading error. Workaround: Formatted the progress summary into `docs/Wiki_Summary_Phase9.md` so the user can manually transfer or push it.
</blockers>

<context>
The DB is fresh and valid. The FastAPI works locally at `:8000/api/matrix/baseline`. Data maps successfully.
</context>

<next_action>
Start with: Reviewing the UI to ensure the user is completely satisfied with the ISIN bond rendering, then proceed to any remaining UI polishing or back-testing tasks.
</next_action>
