pdf-trainer-api / backend /templates /T3_ASTURA_SALES_ORDER_FORM.json
Avinash
integrate real backend api
4a5269c
{
"template_id": "T3_ASTURA_SALES_ORDER_FORM",
"name": "Astura Sales Order Form",
"status": "active",
"version": 2,
"match": {
"keywords_all": [],
"keywords_any": [
"astura",
"dc141",
"ca200",
"cbba",
"sales order"
]
},
"schema": {
"form_id": "trainer_b931186e13eb45d2a9a1ded8ff8641bb",
"version": 3,
"page": 1,
"scalar_value_region_mode": "offset_from_anchor_v1",
"fields": [
{
"field_id": "facility_organization",
"label": "Facility / Organization",
"type": "entity",
"anchor_bbox_norm": {
"x": 0.156863,
"y": 0.194444,
"w": 0.053922,
"h": 0.012626
},
"value_bbox_norm": null,
"value_offset_norm": {
"dx": 0.076797,
"dy": -0.002525,
"w": 0.205882,
"h": 0.021465
}
},
{
"field_id": "case_location",
"label": "Case Location / Address",
"type": "text",
"anchor_bbox_norm": {
"x": 0.155229,
"y": 0.224747,
"w": 0.05719,
"h": 0.016414
},
"value_bbox_norm": null,
"value_offset_norm": {
"dx": 0.075163,
"dy": 0,
"w": 0.212418,
"h": 0.034091
}
},
{
"field_id": "vendor",
"label": "Vendor",
"type": "entity",
"anchor_bbox_norm": {
"x": 0.160131,
"y": 0.117424,
"w": 0.098039,
"h": 0.064394
},
"value_bbox_norm": null,
"value_offset_norm": null
},
{
"field_id": "physician_name",
"label": "Physician Name",
"type": "person",
"anchor_bbox_norm": {
"x": 0.158497,
"y": 0.289141,
"w": 0.062092,
"h": 0.013889
},
"value_bbox_norm": null,
"value_offset_norm": {
"dx": 0.068627,
"dy": -0.002525,
"w": 0.212418,
"h": 0.022727
}
},
{
"field_id": "date_of_surgery",
"label": "Date of Surgery",
"type": "date",
"anchor_bbox_norm": {
"x": 0.160131,
"y": 0.256313,
"w": 0.053922,
"h": 0.016414
},
"value_bbox_norm": null,
"value_offset_norm": {
"dx": 0.071895,
"dy": 0,
"w": 0.124183,
"h": 0.018939
}
},
{
"field_id": "items",
"label": "Items / Line Items",
"type": "table",
"table_bbox_norm": {
"x": 0.153595,
"y": 0.339646,
"w": 0.620915,
"h": 0.180556
},
"header_bbox_norm": {
"x": 0.156863,
"y": 0.339646,
"w": 0.617647,
"h": 0.018939
},
"row_height_hint_norm": null,
"columns": [
{
"key": "item_number",
"label": "Item Number",
"bbox_rel_norm": {
"x": 0,
"y": 0.104895,
"w": 0.171053,
"h": 0.895105
}
},
{
"key": "lot_number",
"label": "Lot Number",
"bbox_rel_norm": null
},
{
"key": "description",
"label": "Description",
"bbox_rel_norm": {
"x": 0.171053,
"y": 0.111888,
"w": 0.323684,
"h": 0.888112
}
},
{
"key": "qty",
"label": "Qty",
"bbox_rel_norm": {
"x": 0.644737,
"y": 0.104895,
"w": 0.047368,
"h": 0.895105
}
},
{
"key": "price",
"label": "Price",
"bbox_rel_norm": null
}
],
"table_anchors": [
{
"key": "item_number",
"expected_text": "Item Number",
"bbox_norm": {
"x": 0.153595,
"y": 0.342172,
"w": 0.104575,
"h": 0.016414
}
},
{
"key": "description",
"expected_text": "Description",
"bbox_norm": {
"x": 0.259804,
"y": 0.339646,
"w": 0.202614,
"h": 0.021465
}
},
{
"key": "qty",
"expected_text": "Qty",
"bbox_norm": {
"x": 0.555556,
"y": 0.342172,
"w": 0.034314,
"h": 0.015152
}
}
],
"notes": "Anchors are used at runtime to localize table/header/columns under drift."
}
],
"notes": "Trainer exports config only. Runtime should localize anchors then apply offsets/table mappings to extract values + line items."
}
}