import t, c from stdint import * from stdio import printf import mpool import json import string import w32.win32memory as win32mem # ============================================================ # 测试计数器 # ============================================================ _pass_count: t.CInt = 0 _fail_count: t.CInt = 0 def check(name: t.CChar | t.CPtr, condition: bool): global _pass_count, _fail_count if condition: _pass_count += 1 printf(" [PASS] %s\n", name) else: _fail_count += 1 printf(" [FAIL] %s\n", name) # ============================================================ # 测试 1:构造 JSON 值(使用 mpool) # ============================================================ def test_construct(pool: mpool.MPool | t.CPtr): printf("\n+-- Construct JsonValue (with mpool) --+\n") # null v1: json.JsonValue | t.CPtr = json.null(pool) check("null is_null", v1.is_null()) # bool v2: json.JsonValue | t.CPtr = json.bool_val(pool, True) check("bool true is_bool", v2.is_bool()) check("bool true as_bool", v2.as_bool()) v3: json.JsonValue | t.CPtr = json.bool_val(pool, False) check("bool false !as_bool", not v3.as_bool()) # int v4: json.JsonValue | t.CPtr = json.int_val(pool, 42) check("int is_int", v4.is_int()) check("int 42 == 42", v4.as_int() == 42) v5: json.JsonValue | t.CPtr = json.int_val(pool, -100) check("int -100 == -100", v5.as_int() == -100) # float v6: json.JsonValue | t.CPtr = json.float_val(pool, 3.14) check("float is_float", v6.is_float()) check("float 3.14 ~= 3.14", v6.as_float() > 3.13 and v6.as_float() < 3.15) # string v7: json.JsonValue | t.CPtr = json.string_val(pool, "hello") check("string is_string", v7.is_string()) check("string == hello", string.strcmp(v7.as_string(), "hello") == 0) # array v8: json.JsonValue | t.CPtr = json.array(pool) check("array is_array", v8.is_array()) check("array empty len()==0", len(v8) == 0) # object v9: json.JsonValue | t.CPtr = json.object(pool) check("object is_object", v9.is_object()) check("object empty len()==0", len(v9) == 0) printf("+--------------------------------------------+\n") # ============================================================ # 测试 2:构造数组和对象(Python风格API) # ============================================================ def test_build_structures(pool: mpool.MPool | t.CPtr): printf("\n+-- Build Arrays and Objects (Pythonic API) --+\n") # 构建数组 [1, 2, 3] arr: json.JsonValue | t.CPtr = json.array(pool) json.array_append(pool, arr, json.int_val(pool, 1)) json.array_append(pool, arr, json.int_val(pool, 2)) json.array_append(pool, arr, json.int_val(pool, 3)) check("array [1,2,3] len()==3", len(arr) == 3) check("array get_item(0)==1", arr.get_item(0).as_int() == 1) check("array get_item(1)==2", arr.get_item(1).as_int() == 2) check("array get_item(2)==3", arr.get_item(2).as_int() == 3) # 构建对象 {"name": "Viper", "version": 1} obj: json.JsonValue | t.CPtr = json.object(pool) json.object_set(pool, obj, "name", json.string_val(pool, "Viper")) json.object_set(pool, obj, "version", json.int_val(pool, 1)) check("object len()==2", len(obj) == 2) # Python风格取值:obj["key"] name_val: json.JsonValue | t.CPtr = obj["name"] check("obj['name']==Viper", name_val != None and string.strcmp(name_val.as_string(), "Viper") == 0) ver_val: json.JsonValue | t.CPtr = obj["version"] check("obj['version']==1", ver_val != None and ver_val.as_int() == 1) missing: json.JsonValue | t.CPtr = obj["missing"] check("obj['missing']==None", missing == None) printf("+--------------------------------------------+\n") # ============================================================ # 测试 3:JSON 解析 # ============================================================ def test_parse(pool: mpool.MPool | t.CPtr): printf("\n+-- Parse JSON --+\n") # 解析整数 v1: json.JsonValue | t.CPtr = json.parse(pool, "42") check("parse int is_int", v1.is_int()) check("parse int == 42", v1.as_int() == 42) # 解析负数 v2: json.JsonValue | t.CPtr = json.parse(pool, "-7") check("parse neg int == -7", v2.as_int() == -7) # 解析浮点数 v3: json.JsonValue | t.CPtr = json.parse(pool, "3.14") check("parse float is_float", v3.is_float()) check("parse float ~= 3.14", v3.as_float() > 3.13 and v3.as_float() < 3.15) # 解析字符串 v4: json.JsonValue | t.CPtr = json.parse(pool, '"hello world"') check("parse string is_string", v4.is_string()) check("parse string == hello world", string.strcmp(v4.as_string(), "hello world") == 0) # 解析布尔 v5: json.JsonValue | t.CPtr = json.parse(pool, "true") check("parse true is_bool", v5.is_bool()) check("parse true as_bool", v5.as_bool()) v6: json.JsonValue | t.CPtr = json.parse(pool, "false") check("parse false !as_bool", not v6.as_bool()) # 解析 null v7: json.JsonValue | t.CPtr = json.parse(pool, "null") check("parse null is_null", v7.is_null()) # 解析数组 v8: json.JsonValue | t.CPtr = json.parse(pool, "[1, 2, 3]") check("parse array is_array", v8.is_array()) check("parse array len()==3", len(v8) == 3) check("parse array get_item(0)==1", v8.get_item(0).as_int() == 1) check("parse array get_item(2)==3", v8.get_item(2).as_int() == 3) # 解析对象(Python风格取值) v9: json.JsonValue | t.CPtr = json.parse(pool, '{"x": 10, "y": 20}') check("parse object is_object", v9.is_object()) check("parse object len()==2", len(v9) == 2) x_val: json.JsonValue | t.CPtr = v9["x"] check("parse obj['x']==10", x_val != None and x_val.as_int() == 10) y_val: json.JsonValue | t.CPtr = v9["y"] check("parse obj['y']==20", y_val != None and y_val.as_int() == 20) printf("+--------------------------------------------+\n") # ============================================================ # 测试 4:JSON 序列化 # ============================================================ def test_write(pool: mpool.MPool | t.CPtr): printf("\n+-- Write JSON --+\n") # 写整数 v1: json.JsonValue | t.CPtr = json.int_val(pool, 42) s1: t.CChar | t.CPtr = json.write(pool, v1, False) check("write int 42", string.strcmp(s1, "42") == 0) # 写字符串 v2: json.JsonValue | t.CPtr = json.string_val(pool, "hello") s2: t.CChar | t.CPtr = json.write(pool, v2, False) check("write string hello", string.strcmp(s2, '"hello"') == 0) # 写布尔 v3: json.JsonValue | t.CPtr = json.bool_val(pool, True) s3: t.CChar | t.CPtr = json.write(pool, v3, False) check("write bool true", string.strcmp(s3, "true") == 0) v4: json.JsonValue | t.CPtr = json.bool_val(pool, False) s4: t.CChar | t.CPtr = json.write(pool, v4, False) check("write bool false", string.strcmp(s4, "false") == 0) # 写 null v5: json.JsonValue | t.CPtr = json.null(pool) s5: t.CChar | t.CPtr = json.write(pool, v5, False) check("write null", string.strcmp(s5, "null") == 0) # 写数组 arr: json.JsonValue | t.CPtr = json.array(pool) json.array_append(pool, arr, json.int_val(pool, 1)) json.array_append(pool, arr, json.int_val(pool, 2)) json.array_append(pool, arr, json.int_val(pool, 3)) s6: t.CChar | t.CPtr = json.write(pool, arr, False) check("write array [1,2,3]", string.strcmp(s6, "[1,2,3]") == 0) # 写对象 obj: json.JsonValue | t.CPtr = json.object(pool) json.object_set(pool, obj, "a", json.int_val(pool, 1)) json.object_set(pool, obj, "b", json.string_val(pool, "x")) s7: t.CChar | t.CPtr = json.write(pool, obj, False) check("write object non-null", s7 != None) printf("+--------------------------------------------+\n") # ============================================================ # 测试 5:解析复杂嵌套 JSON(Python风格API) # ============================================================ def test_nested(pool: mpool.MPool | t.CPtr): printf("\n+-- Parse Nested JSON (Pythonic API) --+\n") src: t.CChar | t.CPtr = '{"name": "Viper", "version": 1, "features": ["fast", "safe", "portable"], "nested": {"key": "value", "num": 99}}' root: json.JsonValue | t.CPtr = json.parse(pool, src) check("nested is_object", root.is_object()) check("nested len()==4", len(root) == 4) # Python风格取值:root["name"] name: json.JsonValue | t.CPtr = root["name"] check("root['name']==Viper", name != None and string.strcmp(name.as_string(), "Viper") == 0) # root["version"] ver: json.JsonValue | t.CPtr = root["version"] check("root['version']==1", ver != None and ver.as_int() == 1) # root["features"] 数组 feat: json.JsonValue | t.CPtr = root["features"] check("root['features'] is_array", feat != None and feat.is_array()) check("root['features'] len()==3", feat != None and len(feat) == 3) check("root['features'][0]==fast", feat != None and string.strcmp(feat.get_item(0).as_string(), "fast") == 0) check("root['features'][2]==portable", feat != None and string.strcmp(feat.get_item(2).as_string(), "portable") == 0) # root["nested"] 对象 nested: json.JsonValue | t.CPtr = root["nested"] check("root['nested'] is_object", nested != None and nested.is_object()) nk: json.JsonValue | t.CPtr = nested["key"] if nested != None else None check("root['nested']['key']==value", nk != None and string.strcmp(nk.as_string(), "value") == 0) nn: json.JsonValue | t.CPtr = nested["num"] if nested != None else None check("root['nested']['num']==99", nn != None and nn.as_int() == 99) printf("+--------------------------------------------+\n") # ============================================================ # 测试 6:mpool 重置后重新使用 # ============================================================ def test_mpool_reuse(): printf("\n+-- MPool Reuse --+\n") # 分配内存 mem: t.CVoid | t.CPtr = win32mem.VirtualAlloc(t.CVoid(0, t.CPtr), 8192, 0x3000, 0x04) check("VirtualAlloc ok", mem != None) pool: mpool.MPool | t.CPtr = mpool.MPool(mem, 8192, 0) # 第一次使用 v1: json.JsonValue | t.CPtr = json.int_val(pool, 100) check("reuse round1 int==100", v1.as_int() == 100) # 重置 mpool pool.reset() # 第二次使用(内存复用) v2: json.JsonValue | t.CPtr = json.string_val(pool, "reused") check("reuse round2 string==reused", string.strcmp(v2.as_string(), "reused") == 0) # 重置后再解析 pool.reset() v3: json.JsonValue | t.CPtr = json.parse(pool, '{"test": true}') check("reuse round3 parse ok", v3.is_object()) tv: json.JsonValue | t.CPtr = v3["test"] check("reuse round3 obj['test']==true", tv != None and tv.as_bool()) win32mem.VirtualFree(mem, 0, 0x8000) printf("+--------------------------------------------+\n") # ============================================================ # 测试 7:转义字符解析 # ============================================================ def test_escape(pool: mpool.MPool | t.CPtr): printf("\n+-- Escape Characters --+\n") # 解析含转义字符的字符串 v1: json.JsonValue | t.CPtr = json.parse(pool, '"hello\\nworld"') check("escape \\n is_string", v1.is_string()) sv1: t.CChar | t.CPtr = v1.as_string() check("escape \\n contains newline", sv1 != None and sv1[5] == '\n') v2: json.JsonValue | t.CPtr = json.parse(pool, '"tab\\there"') check("escape \\t is_string", v2.is_string()) sv2: t.CChar | t.CPtr = v2.as_string() check("escape \\t contains tab", sv2 != None and sv2[3] == '\t') v3: json.JsonValue | t.CPtr = json.parse(pool, '"quote\\""') check("escape \\\" is_string", v3.is_string()) printf("+--------------------------------------------+\n") # ============================================================ # 主函数 # ============================================================ def main() -> t.CInt | t.CExport: printf("=== JSON Library Test (Pythonic API) ===\n") # 使用 mpool 的 bump 分配器 mem: t.CVoid | t.CPtr = win32mem.VirtualAlloc(t.CVoid(0, t.CPtr), 65536, 0x3000, 0x04) pool: mpool.MPool | t.CPtr = mpool.MPool(mem, 65536, 0) test_construct(pool) pool.reset() test_build_structures(pool) pool.reset() test_parse(pool) pool.reset() test_write(pool) pool.reset() test_nested(pool) pool.reset() test_escape(pool) pool.reset() test_mpool_reuse() win32mem.VirtualFree(mem, 0, 0x8000) printf("\n=== Results: %d passed, %d failed ===\n", _pass_count, _fail_count) return 0