stuff
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5807132ac6
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@@ -143,6 +143,9 @@ func Apply(s Schema, source map[string]any) (Projection, error) {
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TaxClass: tax,
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InventoryTracked: boolOf(source, s.InventoryTrackedF, truthy),
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DropShip: boolOf(source, s.DropShipF, truthy),
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SellerID: uint32Of(source, s.SellerIdField),
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SellerName: stringOf(source, s.SellerNameField),
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LeadTimeDays: intOf(source, s.LeadTimeField),
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Category: stringOf(source, s.CategoryField),
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Category2: stringOf(source, s.Category2Field),
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Category3: stringOf(source, s.Category3Field),
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@@ -260,11 +263,57 @@ func uint32Of(m map[string]any, key string) uint32 {
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return 0
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}
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// intOf returns the value at key as an int (floor for fractional floats).
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// Missing / non-numeric / negative values return 0 — Projection.LeadTimeDays
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// = 0 is the documented "unset" signal, mirroring uint32Of's contract.
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func intOf(m map[string]any, key string) int {
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if key == "" {
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return 0
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}
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v, ok := m[key]
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if !ok || v == nil {
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return 0
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}
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switch x := v.(type) {
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case int:
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if x < 0 {
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return 0
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}
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return x
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case int64:
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if x < 0 {
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return 0
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}
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return int(x)
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case float64:
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if x < 0 {
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return 0
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}
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return int(x)
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case json.Number:
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n, err := x.Int64()
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if err != nil || n < 0 {
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return 0
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}
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return int(n)
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case string:
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s := strings.TrimSpace(x)
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if s == "" {
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return 0
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}
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n, err := strconv.ParseFloat(s, 64)
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if err != nil || n < 0 {
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return 0
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}
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return int(n)
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}
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return 0
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}
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// boolOf returns the value at key coerced through truthy. nil/missing keys
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// are false; strings lower-cased and matched against truthy; bools passed
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// through; numerics "!= 0"; json.Number goes through Float64.
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func boolOf(m map[string]any, key string, truthy []string) bool {
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if key == "" {
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func boolOf(m map[string]any, key string, truthy []string) bool { if key == "" {
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return false
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}
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v, ok := m[key]
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+102
-6
@@ -15,12 +15,12 @@ import (
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func TestBuilderJSONNumber(t *testing.T) {
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// json.Number for SKU
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src := map[string]any{
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"sku": json.Number("123456789012345"), // float64-unsafe
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"title": "BigNumber SKU",
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"price_inc_vat": json.Number("14995"), // already øre
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"currency": "SEK",
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"tax_class": "standard",
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"updated_at": json.Number("1700000000000"),
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"sku": json.Number("123456789012345"), // float64-unsafe
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"title": "BigNumber SKU",
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"price_inc_vat": json.Number("14995"), // already øre
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"currency": "SEK",
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"tax_class": "standard",
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"updated_at": json.Number("1700000000000"),
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}
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p, err := Apply(DefaultSchema(), src)
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if err != nil {
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@@ -193,3 +193,99 @@ func TestBuilderFractionalStringPriceCorrectScale(t *testing.T) {
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t.Errorf("PriceIncVat: got %d want %d", p.PriceIncVat, 14995)
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}
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}
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// Drop-ship routing carriers (docs/plan-dropship.md Phase 1): seller id /
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// name / lead time coerce from per-tenant source keys via Schema overrides,
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// mirroring how the live feed emits supplierName-style keys. Zero values
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// (missing keys, negative numbers, junk strings) must stay at the documented
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// "unset" signals rather than erroring — one bad item can't poison a batch.
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func TestBuilderDropshipCarriers(t *testing.T) {
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s := DefaultSchema()
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s.SellerIdField = "supplierId"
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s.SellerNameField = "supplierName"
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s.LeadTimeField = "deliveryTime"
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p, err := Apply(s, map[string]any{
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"sku": "X-1",
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"price_inc_vat": int64(100_00),
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"updated_at": int64(1700000000000),
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"drop_ship": true,
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"supplierId": 4711,
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"supplierName": "Bygg Import AB",
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"deliveryTime": 3,
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})
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if err != nil {
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t.Fatalf("apply with dropship carriers: %v", err)
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}
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if !p.DropShip {
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t.Error("DropShip: got false, want true")
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}
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if p.SellerID != 4711 {
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t.Errorf("SellerID: got %d, want 4711", p.SellerID)
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}
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if p.SellerName != "Bygg Import AB" {
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t.Errorf("SellerName: got %q", p.SellerName)
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}
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if p.LeadTimeDays != 3 {
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t.Errorf("LeadTimeDays: got %d, want 3", p.LeadTimeDays)
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}
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// Missing keys → unset signals, no error.
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p, err = Apply(s, map[string]any{
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"sku": "X-2",
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"price_inc_vat": int64(100_00),
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"updated_at": int64(1700000000000),
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})
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if err != nil {
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t.Fatalf("apply without dropship carriers: %v", err)
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}
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if p.DropShip || p.SellerID != 0 || p.SellerName != "" || p.LeadTimeDays != 0 {
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t.Errorf("unset carriers should zero: %+v", p)
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}
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// Junk shapes floor to unset, never fail the build.
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for name, bad := range map[string]any{
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"negative id": -5,
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"string id": "not-a-number",
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"float id": 1.5,
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} {
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p, err = Apply(s, map[string]any{
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"sku": "X-3", "price_inc_vat": int64(100_00),
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"updated_at": int64(1700000000000),
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"supplierId": bad,
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})
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if err != nil {
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t.Fatalf("%s: apply should not fail on junk carrier: %v", name, err)
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}
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if p.SellerID != 0 {
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t.Errorf("%s: SellerID should be 0, got %d", name, p.SellerID)
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}
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}
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// Wire round-trip: new fields survive Encode/Decode for consumers that
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// never rebuilt.
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b, err := p.Encode()
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if err != nil {
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t.Fatalf("encode: %v", err)
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}
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rt, err := Decode(b)
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if err != nil {
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t.Fatalf("decode: %v", err)
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}
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if rt.SKU != p.SKU || rt.DropShip || rt.SellerID != 0 {
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t.Errorf("round-trip mismatch: %+v vs %+v", rt, p)
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}
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// json.Number lead time (UseNumber producers).
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p, err = Apply(s, map[string]any{
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"sku": "X-4", "price_inc_vat": int64(100_00),
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"updated_at": int64(1700000000000),
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"deliveryTime": json.Number("7"),
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})
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if err != nil {
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t.Fatalf("json.Number lead time: %v", err)
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}
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if p.LeadTimeDays != 7 {
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t.Errorf("LeadTimeDays from json.Number: got %d, want 7", p.LeadTimeDays)
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}
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}
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@@ -18,6 +18,9 @@
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// tax_class ← source[TaxClassField] (string identifier)
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// inventory_tracked ← bool coercion of source[InventoryTrackedField]
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// drop_ship ← bool coercion of source[DropShipField]
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// seller_id ← uint32 coercion of source[SellerIdField] (0 = unset)
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// seller_name ← source[SellerNameField] (omitempty)
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// lead_time_days ← int coercion of source[LeadTimeField] (0 = unset)
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// category ← source[CategoryField] (omitempty)
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// category2 ← source[Category2Field] (omitempty)
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// category3 ← source[Category3Field] (omitempty)
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@@ -103,6 +106,15 @@ type Projection struct {
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TaxClass string `json:"tax_class"`
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InventoryTracked bool `json:"inventory_tracked"`
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DropShip bool `json:"drop_ship"`
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// Drop-ship routing carriers (Phase 1 of docs/plan-dropship.md).
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// SellerID mirrors AddItem.ItemId coercion rules: 0 = "producer didn't
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// publish" and downstream keeps whatever the HTTP fallback fetched.
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// SellerName is what checkout writes into order-line
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// Properties["supplier"] (the dropship-fulfill flow groups on it).
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// LeadTimeDays is supplier lead time in days, 0 = unset.
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SellerID uint32 `json:"seller_id,omitempty"`
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SellerName string `json:"seller_name,omitempty"`
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LeadTimeDays int `json:"lead_time_days,omitempty"`
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Category string `json:"category,omitempty"`
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Category2 string `json:"category2,omitempty"`
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Category3 string `json:"category3,omitempty"`
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@@ -58,6 +58,15 @@ type Schema struct {
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TaxClassField string `json:"tax_class_field,omitempty"`
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InventoryTrackedF string `json:"inventory_tracked_field,omitempty"`
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DropShipF string `json:"drop_ship_field,omitempty"`
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// SellerIdField / SellerNameField name the source keys carrying the
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// drop-ship supplier identity. SellerId coerces to uint32 (0 = unset);
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// SellerName is the human-facing name checkout writes into order-line
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// Properties["supplier"]. Empty field = carrier not published.
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SellerIdField string `json:"seller_id_field,omitempty"`
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SellerNameField string `json:"seller_name_field,omitempty"`
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// LeadTimeField names the source key carrying supplier lead time in
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// days (numeric; fractional values floor). Empty = not published.
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LeadTimeField string `json:"lead_time_field,omitempty"`
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CategoryField string `json:"category_field,omitempty"`
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Category2Field string `json:"category2_field,omitempty"`
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Category3Field string `json:"category3_field,omitempty"`
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@@ -128,6 +137,9 @@ func DefaultSchema() Schema {
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TaxClassField: "tax_class",
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InventoryTrackedF: "inventory_tracked",
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DropShipF: "drop_ship",
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SellerIdField: "seller_id",
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SellerNameField: "seller_name",
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LeadTimeField: "lead_time_days",
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CategoryField: "category",
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Category2Field: "category2",
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Category3Field: "category3",
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