feat(win): T-WIN-008/009/010 主界面/游戏/结算/来源展示/关于页
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extends TestCase
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## T-WIN-002 集成测试：直接调用**真实运行中**的 Web 服务端。
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##
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## 若服务端不可达则整组跳过（不伪装成通过）。
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## 启动服务端：cd opendance-web/web-server && npm run start:prod
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##
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## 覆盖：
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## - GET /health、/api/catalog/version、/api/catalog/export 的真实响应
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## - NDJSON 关键点序列解析
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## - **跨实现交叉校验**：本端 PoseFeatures 计算的 9 个关节角
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## 与服务端 TypeScript 实现算出的 angles 必须一致
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const ApiClient = preload("res://src/net/api_client.gd")
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const CatalogTypes = preload("res://src/net/catalog_types.gd")
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const KeypointSequence = preload("res://src/net/keypoint_sequence.gd")
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const PoseFeatures = preload("res://src/score/pose_features.gd")
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var _client: ApiClient = null
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var _available := false
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var _unavailable_reason := ""
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func _ensure_client() -> bool:
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if _client != null:
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# 每次都要显式 skip：否则后续测试会静默 return，
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# 被运行器判为「未执行任何断言」
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if not _available:
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skip("API 集成", "Web 服务端不可达（%s）" % _unavailable_reason)
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return _available
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var tree := Engine.get_main_loop() as SceneTree
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_client = ApiClient.new("http://127.0.0.1:3000")
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_client.timeout_seconds = 8.0
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tree.root.add_child(_client)
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var result: Dictionary = await _client.health()
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_available = result["ok"] and int(result["status"]) == 200
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if _available:
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var data: Dictionary = result["data"]
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ok(bool(data.get("database", {}).get("connected", false)), "服务端报告数据库已连接")
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else:
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_unavailable_reason = str(result.get("error", ""))
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skip("API 集成", "Web 服务端不可达（%s）" % _unavailable_reason)
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return _available
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func test_health_reports_contract_version() -> void:
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if not await _ensure_client():
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return
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var result: Dictionary = await _client.health()
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is_true(result["ok"], "GET /health 成功")
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var version: Dictionary = result["data"].get("contractVersion", {})
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eq(str(version.get("rest-api", "")), "0.1.0", "契约 rest-api 版本为 0.1.0")
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eq(str(version.get("websocket-keypoints", "")), "0.1.0", "契约 websocket-keypoints 版本为 0.1.0")
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eq(str(version.get("skeleton-topology", "")), "0.1.0", "契约 skeleton-topology 版本为 0.1.0")
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func test_catalog_version_returns_revision() -> void:
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if not await _ensure_client():
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return
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var result: Dictionary = await _client.catalog_version()
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is_true(result["ok"], "GET /api/catalog/version 成功")
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var revision := str(result["data"].get("revision", ""))
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eq(revision.length(), 64, "revision 为 64 位十六进制指纹")
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func test_catalog_export_parses_into_typed_objects() -> void:
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if not await _ensure_client():
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return
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var result: Dictionary = await _client.catalog_export()
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is_true(result["ok"], "GET /api/catalog/export 成功")
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var bundle: CatalogTypes.CatalogBundle = CatalogTypes.CatalogBundle.from_dict(result["data"])
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not_null(bundle, "目录解析成功")
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eq(bundle.songs.size(), result["data"].get("songs", []).size(), "曲目数量一致")
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eq(bundle.motions.size(), result["data"].get("motions", []).size(), "动作数量一致")
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eq(bundle.models.size(), result["data"].get("models", []).size(), "模型数量一致")
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# 契约 §4.1：defaultModelId 由服务端解析，客户端直接用
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var resolved := bundle.default_model()
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if bundle.models.size() > 0:
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not_null(resolved, "存在已发布模型时可解析出默认模型")
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if resolved != null:
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eq(resolved.status, "published", "默认模型状态为 published")
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else:
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is_null(resolved, "无已发布模型时默认模型为 null")
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# 契约要求来源五元组齐备
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for song in bundle.songs:
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is_true(song.source.is_complete(), "曲目「%s」来源五元组齐备" % song.title)
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for model in bundle.models:
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is_true(model.source.is_complete(), "模型「%s」来源五元组齐备" % model.name)
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func test_keypoint_sequence_matches_contract_and_local_math() -> void:
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if not await _ensure_client():
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return
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var export_result: Dictionary = await _client.catalog_export()
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var bundle: CatalogTypes.CatalogBundle = CatalogTypes.CatalogBundle.from_dict(export_result["data"])
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var target: CatalogTypes.Motion = null
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for motion in bundle.motions:
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if motion.is_scorable():
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target = motion
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break
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if target == null:
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skip("关键点序列", "服务端暂无已完成预处理的动作（先上传并预处理一个 BVH）")
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return
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eq(target.keypoint_format, KeypointSequence.EXPECTED_FORMAT, "keypointFormat 与契约一致")
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var sequence_result: Dictionary = await _client.motion_keypoints(target.id)
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is_true(sequence_result["ok"], "GET /api/motions/%d/keypoints 成功" % target.id)
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var sequence: KeypointSequence.ParsedSequence = KeypointSequence.parse_ndjson(str(sequence_result["data"]))
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eq(sequence.skipped_lines, 0, "NDJSON 无跳过行")
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eq(sequence.frame_count(), target.keypoint_frames, "帧数与 motion.keypointFrames 一致")
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ok(sequence.frame_count() > 0, "序列非空")
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# 每帧 33 点（一次性校验，避免刷屏式断言）
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var shape_ok := true
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for frame in sequence.frames:
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if frame.points.size() != 33 or frame.confidence.size() != 33:
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shape_ok = false
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break
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is_true(shape_ok, "每帧均为 33 个关键点 + 33 个置信度")
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# 坐标落在 MediaPipe 归一化范围
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var first: KeypointFrame.PoseFrame = sequence.frames[0]
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var in_range := true
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for p in first.points:
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if p.x < -0.001 or p.x > 1.001 or p.y < -0.001 or p.y > 1.001:
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in_range = false
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break
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is_true(in_range, "关键点坐标落在归一化范围")
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# 帧率推导合理
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var fps := sequence.estimated_fps()
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ok(fps > 1.0 and fps < 240.0, "由时间戳推导的帧率合理", "实际 %.2f" % fps)
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# ★ 跨实现交叉校验：服务端 TypeScript 与本端 GDScript 的关节角必须一致。
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# GDScript 的 % 运算符不支持 %e，故用 str() 输出浮点。
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var comparison := KeypointSequence.compare_angles(sequence, 1e-3)
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ok(int(comparison["checked"]) > 0, "存在可比对的服务端关节角", "比对帧数 %d" % int(comparison["checked"]))
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ok(
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int(comparison["mismatched_frames"]) == 0,
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"所有帧的 9 个关节角与服务端实现一致",
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"不一致帧数 %d，最大偏差 %s" % [int(comparison["mismatched_frames"]), str(comparison["max_delta"])]
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)
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ok(float(comparison["max_delta"]) < 1e-3, "关节角最大偏差小于 1e-3", "实际 %s" % str(comparison["max_delta"]))
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func test_unknown_route_returns_structured_error() -> void:
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if not await _ensure_client():
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return
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var result: Dictionary = await _client.get_json("/api/songs/99999999")
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is_false(result["ok"], "不存在的资源返回失败")
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eq(int(result["status"]), 404, "状态码为 404")
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ok(str(result["error"]).length() > 0, "错误信息非空", str(result["error"]))
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