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# ERD — karung counter (SQLite)
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Data model for the karung feedmill counter. SQLite DB at
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`$OUTPUT_DIR/jetson_counter.db` (`config.yaml` `output.dir`,
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default `/opt/jetson-counter/`; env override `DB_PATH`).
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**No DB foreign keys enforced** (zero `FOREIGN KEY` in code) — all relationships
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are soft, by naming/best-effort writes.
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```mermaid
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erDiagram
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batches ||--o{ delivery_orders : "soft via batch_id / do_numbers"
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batches ||--o{ daily_summaries : "rollup by counting_date"
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batches {
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INTEGER id PK
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TEXT counting_date "NOT NULL, YYYY-MM-DD, cutoff-shifted"
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INTEGER batch_number "NOT NULL, per date+camera+label"
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TEXT camera_name "NOT NULL, default CC1"
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TEXT object_label "NOT NULL, default karung-pakan"
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INTEGER count "NOT NULL, gross sack loading"
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TEXT start_time "NOT NULL, ISO datetime"
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TEXT end_time "NOT NULL, ISO datetime"
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TIMESTAMP created_at "default CURRENT_TIMESTAMP"
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INTEGER box_loading "NOT NULL, default 0"
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INTEGER box_unloading "NOT NULL, default 0"
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TEXT model_mode "NOT NULL, default A"
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TEXT plate "NOT NULL, default ''"
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TEXT do_numbers "NOT NULL, JSON array of No. DO"
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INTEGER expected_sack "NOT NULL, default 0"
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INTEGER expected_box "NOT NULL, default 0"
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INTEGER net_sack "NOT NULL, default 0"
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INTEGER net_box "NOT NULL, default 0"
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}
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delivery_orders {
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INTEGER id PK
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TEXT counting_date "NOT NULL"
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TEXT photo_path "NOT NULL, relative under do_photos/"
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TEXT no_do "default ''"
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TEXT plate "default ''"
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INTEGER expected_sack "default 0"
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INTEGER expected_box "default 0"
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TEXT ocr_raw "nullable JSON: no_do, plate, ocr_text, engine, ocr_ok, ocr_error"
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TEXT status "default 'draft'"
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INTEGER batch_id "soft ref to batches.id, nullable"
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TIMESTAMP created_at "default CURRENT_TIMESTAMP"
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TIMESTAMP updated_at "default CURRENT_TIMESTAMP"
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}
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daily_summaries {
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INTEGER id PK
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TEXT counting_date "NOT NULL"
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TEXT camera_name "NOT NULL"
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TEXT object_label "NOT NULL"
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INTEGER total_count "NOT NULL, default 0, SUM(batches.count)"
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INTEGER total_batches "NOT NULL, default 0, COUNT(batches.id)"
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TIMESTAMP updated_at "default CURRENT_TIMESTAMP"
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}
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```
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## Keys
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- `batches`: `UNIQUE(counting_date, batch_number, camera_name, object_label)`
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- `daily_summaries`: `UNIQUE(counting_date, camera_name, object_label)`
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- `delivery_orders`: `idx_do_date_status` on `(counting_date, status)`
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## Relationships (logical)
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| From | To | How |
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|---|---|---|
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| `delivery_orders` → `batches` | N—1 | On stop: `batches.do_numbers` JSON array of `No. DO`; `delivery_orders.batch_id` set best-effort. Active batch: `current_batch.json.do_ids`. |
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| `batches` → `daily_summaries` | N—1 | Same `(counting_date, camera_name, object_label)`; stop recompute `SUM(count)`, `COUNT(id)`. |
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## Derived columns
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- `net_sack = count − sack unloading`, `net_box = box_loading − box_unloading`
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(`src/do_batch.py:37`).
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- **Sack unloading has no column** — it only survives inside `net_sack`
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(legacy rows with `net_sack=0` from the `ALTER TABLE ... DEFAULT 0`
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migration are not backfillable).
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- History UI shows gross `count` / `box_loading` only (no Net).
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## Status (`delivery_orders.status`)
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`draft` (photo upload) → `staged` (saved/edited) → `attached` (in
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active/stopped batch). Discard stop with both nets 0 returns DOs to
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`staged`. `discarded` appears in older notes but **no code writes it** —
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discard is a `DELETE`.
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## Hazards
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- `INSERT OR REPLACE` on `batches` (UNIQUE match = delete+insert) changes
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`id` on re-stop → can orphan `delivery_orders.batch_id`.
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- Schema divergence: `predict.py init_db()` creates only `batches` +
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`daily_summaries` (3 extra cols, no `delivery_orders`); full 3-table
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schema (9 extra `batches` cols) comes from `counter_dashboard.py`
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`_ensure_db()` at import. Fresh DB touched only by `predict.py` is
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incomplete; its DO updates fail silently (`try/except: pass`).
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## JSON sidecars + photo tree (not in SQLite)
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| Path | Role |
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|---|---|
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| `$OUTPUT_DIR/batch_mode.json` | `{mode: auto\|do_manual\|manual}` |
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| `$OUTPUT_DIR/current_batch.json` | active batch + `do_ids`, plate, expected_*, nets inputs |
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| `$OUTPUT_DIR/do_settings.json` | `require_plate`, `require_do`, `ocr_engine` |
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| `$OUTPUT_DIR/do_photos/YYYY-MM-DD/do_<uuid>.jpg` | source photos (7-day retention) |
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## Sources
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- DDL: `counter_dashboard.py:123-198` (`_ensure_db`, superset),
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`predict.py:117-166` (`init_db`, partial).
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- Writes: `predict.py:249-306`, `counter_dashboard.py:610-668`.
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- Doc flow: `docs/do-erd.md` (merged into this file).
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