andreagrandi / andreagrandi/draftomen
Parse human-draft picks and completion
- Ngôn ngữ chính
- Python
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Mô tả
## Problem
The parser only consumes bot-draft pick messages and enforces exactly one selected card. Premier, Traditional, and Pick-Two use `EventPlayerDraftMakePick`, and private Pick-Two evidence directly shows two `GrpIds` in one submission plus a distinct completion message.
## Proposed change
Parse human-draft pick submissions and completion according to the detected format/rules contract. Treat `GrpIds` as a collection, correlate submissions with pack notifications, and handle missing/duplicate/truncated records without format guessing from cardinality when metadata is present.
## Acceptance Criteria
- [ ] Premier and Traditional one-card submissions produce one-card logical picks.
- [ ] Pick-Two two-card submissions retain both IDs in one logical pick.
- [ ] Explicit event metadata wins over payload-cardinality heuristics.
- [ ] Human-draft completion is recognized from observed messages without applying Quick Draft's 42-card inference globally.
- [ ] Missing submissions, failed-pick gaps, duplicate responses, and truncated envelopes do not crash or fabricate picks.
- [ ] Unknown human-draft events fail safely without contaminating the active draft.
- [ ] Hand-authored synthetic fixtures cover all supported message shapes; raw logs remain private.
- [ ] Existing Quick Draft behavior and focused parser tests pass, with a changelog entry.
## Scope notes
No persistence redesign beyond Child 2 and no frontend behavior.
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Hướng nghiên cứu
Start with the parser and existing focused parser tests, then use hand-authored synthetic fixtures to cover the supported message shapes described in the acceptance criteria. Done means human-draft submissions and completion are handled safely, missing or malformed records do not create false picks, existing Quick Draft behavior still passes, and the changelog is updated.
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Đánh giá
- Công nghệ
- python
- Lĩnh vực
- backend, testing
- Loại issue
- Tính năng
- Độ khó
- 5/5
- Thời gian dự kiến
- Hơn một tuần
- Mức độ hoạt động
- Sôi nổi
- Độ rõ ràng
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- Mức phù hợp với người mới
- 45/100