- Introduced new JSON files for normalized and raw inputs, source metadata, and public inputs.
- Added findings document detailing the methodology and results of the score reconstruction.
- Included member differences and worked examples for clarity on data discrepancies.
- Implemented a Python script for reproducing scores based on public inputs.
- Created SQL for raw reaggregation of data.
- Added task metadata for tracking the research completion and validation metrics.
- remove the sector_type parameter from the selection port, adapter, and
use case; the adapter now passes SectorType.INDUSTRY directly, deleting
the dead concept vocabulary mapping
- stop parsing concepts/concept_total/concept_limit from the sector-radar
membership response in the web API layer and narrow the response type to
industries only
- update tests and the task PRD accordingly; backend pyright errors drop
from the 16 baseline to 14
- Introduced ActiveMoneyflowSource to fetch optional active-order flow, enhancing the sector radar's data capabilities.
- Updated StockFactRecord and DailyAggregateRecord to include pct_change and active_buy_net_amount_yuan for improved financial insights.
- Modified the build process to incorporate active moneyflow data without invalidating main rankings on failure.
- Enhanced the HTTP API to return detailed sector history and metrics, including pct_change and active buy metrics for members.
- Updated tests to validate the new functionality and ensure data integrity across various scenarios.
- pin the selection sector vocabulary to industry: the /sectors endpoint
no longer accepts sector_type, and the port, adapter, and use case all
resolve counts and member codes with sector_type="industry"
- relabel the results filter to 细分行业 and drop concept-type plumbing
from the frontend API, query keys, and types
- show only 细分行业 in the signal detail panel; remove the concept-board
chips and keep the snapshot-date tooltip on the industry line
- update backend and frontend tests to the industry vocabulary and record
the revised scope in the task PRD
- Created a main workspace index to track AI Agent work records across developers.
- Added a personal index for developer 'yuxuanhui' with current status and session history.
- Initialized the first journal file for 'yuxuanhui' to document AI development sessions.
- Introduced AGENTS.md for Trellis instructions, detailing project structure and usage guidelines.
yuxuanhui