feat(media-supply): add media resource supply marketplace

Introduce an end-to-end media-supply feature: tenant-side resource sync
service/worker backed by a Meijiequan supplier client, ops-side management
APIs, and admin/ops web views for resources, orders, favorites and
submission. Adds a shared digitocr helper, MediaSupply config blocks for
tenant and ops, shared types, and migrations for supplier media resources,
price overrides, customer visibility and order refunds.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

server/internal/shared/digitocr/cmd/recognize/main.go

@@ -0,0 +1,61 @@
+// 本地识别 CLI：读取一张或多张已保存的验证码 PNG，输出识别结果。
+//
+// 用法：
+//
+//	go run ./cmd/recognize path/to/captcha.png [more.png ...]
+//
+// 想批量评估准确率时，把文件命名为"真值.png"（如 4930.png），脚本会自动对比。
+package main
+
+import (
+	"fmt"
+	"os"
+	"path/filepath"
+	"strings"
+
+	"github.com/geo-platform/tenant-api/internal/shared/digitocr"
+)
+
+func main() {
+	if len(os.Args) < 2 {
+		fmt.Fprintln(os.Stderr, "usage: recognize <png> [png ...]")
+		os.Exit(2)
+	}
+
+	var total, correct int
+	for _, path := range os.Args[1:] {
+		got, err := digitocr.Recognize(path, digitocr.Options{})
+		if err != nil {
+			fmt.Printf("%s\tERROR: %v\n", path, err)
+			continue
+		}
+		truth := strings.TrimSuffix(filepath.Base(path), filepath.Ext(path))
+		if isAllDigits(truth) && len(truth) == len(got) {
+			total++
+			mark := "OK"
+			if got == truth {
+				correct++
+			} else {
+				mark = "MISS"
+			}
+			fmt.Printf("%s\t%s\t%s (truth=%s)\n", path, got, mark, truth)
+		} else {
+			fmt.Printf("%s\t%s\n", path, got)
+		}
+	}
+	if total > 0 {
+		fmt.Printf("\naccuracy: %d/%d = %.1f%%\n", correct, total, float64(correct)*100/float64(total))
+	}
+}
+
+func isAllDigits(s string) bool {
+	if s == "" {
+		return false
+	}
+	for _, r := range s {
+		if r < '0' || r > '9' {
+			return false
+		}
+	}
+	return true
+}

server/internal/shared/digitocr/cmd/train/main.go

@@ -0,0 +1,171 @@
+// 训练工具：读取 samples/0.png ~ samples/9.png，生成 templates.go。
+//
+// 用法：
+//
+//	cd server/internal/shared/digitocr
+//	# 准备 samples/0.png ... 9.png，每张是同字体的单个数字
+//	# 也可以是含多位的整图，命名 NNNN.png（如 4930.png），脚本会按位切分
+//	go run ./cmd/train
+package main
+
+import (
+	"fmt"
+	"image"
+	_ "image/png"
+	"os"
+	"path/filepath"
+	"strings"
+
+	"github.com/geo-platform/tenant-api/internal/shared/digitocr"
+)
+
+func main() {
+	groups, err := collectSamples("samples")
+	if err != nil {
+		exit(err)
+	}
+	missing := missingDigits(groups)
+	if len(missing) > 0 {
+		exit(fmt.Errorf("missing samples for digits: %v", missing))
+	}
+
+	templates := [10]digitocr.Bitmap{}
+	for d := 0; d < 10; d++ {
+		templates[d] = voteTemplate(groups[d])
+	}
+
+	var sb strings.Builder
+	sb.WriteString("package digitocr\n\n")
+	sb.WriteString("// Code generated by cmd/train. DO NOT EDIT.\n\n")
+	sb.WriteString("var Templates = [10]Bitmap{\n")
+	for d := 0; d < 10; d++ {
+		sb.WriteString("\t{")
+		for i, v := range templates[d] {
+			if i > 0 {
+				sb.WriteByte(',')
+			}
+			if v == 0 {
+				sb.WriteByte('0')
+			} else {
+				sb.WriteByte('1')
+			}
+		}
+		fmt.Fprintf(&sb, "}, // d=%d, n=%d\n", d, len(groups[d]))
+	}
+	sb.WriteString("}\n")
+
+	if err := os.WriteFile("templates.go", []byte(sb.String()), 0o644); err != nil {
+		exit(err)
+	}
+	fmt.Printf("wrote templates.go (samples per digit: ")
+	for d := 0; d < 10; d++ {
+		fmt.Printf("%d=%d ", d, len(groups[d]))
+	}
+	fmt.Println(")")
+}
+
+// voteTemplate 对一组同数字样本做按位多数投票。
+func voteTemplate(bms []digitocr.Bitmap) digitocr.Bitmap {
+	var out digitocr.Bitmap
+	if len(bms) == 0 {
+		return out
+	}
+	counts := make([]int, digitocr.GridW*digitocr.GridH)
+	for _, bm := range bms {
+		for i, v := range bm {
+			if v == 1 {
+				counts[i]++
+			}
+		}
+	}
+	threshold := len(bms) / 2
+	for i, c := range counts {
+		if c > threshold {
+			out[i] = 1
+		}
+	}
+	return out
+}
+
+// collectSamples 从 dir 下读取样本。支持两种命名：
+//   - 0.png ~ 9.png：单字符样本，整张图就是一个数字
+//   - NNNN.png（如 4930.png）：多位样本，按位切分，按文件名映射到对应数字
+//
+// 返回 map[digit][]Bitmap，每个数字累积所有样本以便投票。
+func collectSamples(dir string) (map[int][]digitocr.Bitmap, error) {
+	entries, err := os.ReadDir(dir)
+	if err != nil {
+		return nil, err
+	}
+	out := map[int][]digitocr.Bitmap{}
+	for _, e := range entries {
+		if e.IsDir() {
+			continue
+		}
+		name := strings.TrimSuffix(e.Name(), filepath.Ext(e.Name()))
+		if !allDigits(name) {
+			continue
+		}
+		bms, err := extractBitmaps(filepath.Join(dir, e.Name()), len(name))
+		if err != nil {
+			return nil, fmt.Errorf("%s: %w", e.Name(), err)
+		}
+		for i, ch := range name {
+			d := int(ch - '0')
+			out[d] = append(out[d], bms[i])
+		}
+	}
+	return out, nil
+}
+
+func extractBitmaps(path string, digits int) ([]digitocr.Bitmap, error) {
+	f, err := os.Open(path)
+	if err != nil {
+		return nil, err
+	}
+	defer f.Close()
+	img, _, err := image.Decode(f)
+	if err != nil {
+		return nil, err
+	}
+	bin, bbox := digitocr.Binarize(img, digitocr.IsOrange)
+	if bbox.Empty() {
+		return nil, fmt.Errorf("no foreground pixels")
+	}
+	cells := digitocr.SegmentDigits(bin, bbox, digits)
+	if len(cells) != digits {
+		return nil, fmt.Errorf("segmented %d cells, expected %d", len(cells), digits)
+	}
+	bms := make([]digitocr.Bitmap, digits)
+	for i, cell := range cells {
+		bms[i] = digitocr.Normalize(bin, cell)
+	}
+	return bms, nil
+}
+
+func allDigits(s string) bool {
+	if s == "" {
+		return false
+	}
+	for _, r := range s {
+		if r < '0' || r > '9' {
+			return false
+		}
+	}
+	return true
+}
+
+func missingDigits(m map[int][]digitocr.Bitmap) []int {
+	var miss []int
+	for d := 0; d < 10; d++ {
+		if len(m[d]) == 0 {
+			miss = append(miss, d)
+		}
+	}
+	return miss
+}
+
+func exit(err error) {
+	fmt.Fprintln(os.Stderr, "train:", err)
+	os.Exit(1)
+}