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@@ -40,7 +40,7 @@ Indonesian (`karung`=sack, `truk`=truck); YOLO class names are English
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office `:5721` only (403 on `:5000`); **`ocr_engine` POST both ports** (synced
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via `GET /api/do/settings`). Discard batch only if **both** `net_sack==0` and
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`net_box==0`. DO helpers: `src/do_batch.py`, OCR: `src/do_ocr.py`;
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ERD: `docs/do-erd.md`.
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ERD: `ERD.md` (repo root).
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- **Counting filters by class name, not ID**: `SackDetector`/`BoxDetector`/
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`TruckDetector` filter via `BaseDetector(class_filter)` (`src/detection.py`);
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tracker keeps `("sack", "truck", "box")` (`src/tracking.py`); counting uses
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+1
-1
@@ -22,7 +22,7 @@ version tags are cut in this repo — POC stage, `main` is the release line).
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(`extract_do_fields` tesseract|paddle|none).
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- Operator DO panel + OCR toggle; monitoring 3-way mode switch + model mode +
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OCR/require-plate controls; history/export plate, DO, expected, net columns.
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- `docs/do-erd.md` (Mermaid ERD); tests `tests/test_do_batch.py`.
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- `ERD.md` (Mermaid ERD, repo root; superseded `docs/do-erd.md`); tests `tests/test_do_batch.py`.
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### Changed
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- Default batch mode seed **`auto`** (was hard-coded `manual` when
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@@ -0,0 +1,115 @@
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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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@@ -101,7 +101,7 @@ Office (`:5721`) switches mode / model mode / require_plate (403 on operator
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POST). **DO manual flow:** open `http://<jetson>:5000/operator` on a phone →
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Ambil Foto DO → review/edit OCR fields → Mulai Batch → count → Selesai
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(soft-warn if zone busy). Discard only when both sack and box nets are 0.
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ERD: [`docs/do-erd.md`](docs/do-erd.md).
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ERD: [`ERD.md`](ERD.md).
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## Repository layout
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@@ -131,7 +131,7 @@ Script-by-script reference: [`docs/scripts.md`](docs/scripts.md).
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- [`docs/models.md`](docs/models.md) — model inventory & detection-mode support matrix
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- [`docs/configuration.md`](docs/configuration.md) — all config files/variables
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- [`docs/deployment.md`](docs/deployment.md) — Jetson services, TensorRT, deploy flow
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- [`docs/do-erd.md`](docs/do-erd.md) — delivery-order / batch ERD (Mermaid)
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- [`ERD.md`](ERD.md) — SQLite ERD (Mermaid): batches / delivery_orders / daily_summaries
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- [`docs/operator-tiles-history-plan.md`](docs/operator-tiles-history-plan.md) — operator tiles + history cleanup plan
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- [`docs/scripts.md`](docs/scripts.md) — entry points & utility scripts
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- [`CHANGELOG.md`](CHANGELOG.md) — release history
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@@ -147,7 +147,7 @@ dashboard integration is file-based.)
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DO pipeline (dashboard): smartphone upload → OCR draft → edit/stage → start
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gates → active batch → stop-preview soft-warn → stop → `batches` + DO columns.
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ERD: [`docs/do-erd.md`](do-erd.md). UI plan: [`docs/operator-tiles-history-plan.md`](operator-tiles-history-plan.md).
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ERD: [`../ERD.md`](../ERD.md). UI plan: [`docs/operator-tiles-history-plan.md`](operator-tiles-history-plan.md).
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## Retired (`archive/`, not imported)
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@@ -1,81 +0,0 @@
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# ERD — DO-gated manual batch (delivery orders)
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Mermaid ER for karung feedmill counter. Soft FK: no DB foreign keys enforced;
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`delivery_orders.batch_id` is informational once a batch row exists. While a
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batch is active, membership lives in `current_batch.json` (`do_ids`).
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```mermaid
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erDiagram
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batches ||--o{ delivery_orders : "soft via do_numbers / batch_id"
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batches ||--o{ daily_summaries : "rolls up by counting_date"
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batches {
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INTEGER id PK
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TEXT counting_date
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INTEGER batch_number
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TEXT camera_name
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TEXT object_label
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INTEGER count
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TEXT start_time
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TEXT end_time
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INTEGER box_loading
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INTEGER box_unloading
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TEXT model_mode
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TEXT plate
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TEXT do_numbers
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INTEGER expected_sack
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INTEGER expected_box
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INTEGER net_sack
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INTEGER net_box
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TIMESTAMP created_at
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}
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delivery_orders {
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INTEGER id PK
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TEXT counting_date
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TEXT photo_path
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TEXT no_do
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TEXT plate
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INTEGER expected_sack
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INTEGER expected_box
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TEXT ocr_raw
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TEXT status
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INTEGER batch_id
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TIMESTAMP created_at
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TIMESTAMP updated_at
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}
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daily_summaries {
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INTEGER id PK
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TEXT counting_date
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TEXT camera_name
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TEXT object_label
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INTEGER total_count
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INTEGER total_batches
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TIMESTAMP updated_at
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}
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```
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## Relationships (logical)
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| From | To | How |
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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/label; stop recompute `SUM(count)`. |
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## Status (`delivery_orders.status`)
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`draft` → `staged` (saved/edited) → `attached` (in active/stopped batch) |
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`discarded` (deleted). Discarded stop (both nets 0) returns DOs to `staged`.
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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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Schema DDL: `counter_dashboard.py` `_ensure_db()` (additive PRAGMA migrations
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on `batches` + `CREATE TABLE delivery_orders`).
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