Upload demo_test_all_v4_resume.py with huggingface_hub

demo_test_all_v4_resume.py

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+
+
+import tensorflow as tf
+from android_env.proto.a11y import android_accessibility_forest_pb2
+import json
+import os
+from google.protobuf.json_format import MessageToJson
+from tqdm import tqdm
+
+
+def parse_node(node, nodes, depth=0, parent_bounds=None):
+    # 提取节点信息
+    class_name = node.get("className", "Unknown")
+    # 获取 viewIdResourceName 并简化输出，只保留资源名部分
+    view_id = node.get("viewIdResourceName", "")
+    simplified_view_id = view_id.split(":")[-1] if view_id else ""
+    simplified_view_id = ' '.join(simplified_view_id.split('_'))
+    simplified_view_id = simplified_view_id.replace('id/','')
+
+    bounds = node.get("boundsInScreen", {})
+    bounds_str = f"[{bounds.get('left', 0)}, {bounds.get('top', 0)}, {bounds.get('right', 0)}, {bounds.get('bottom', 0)}]"
+
+    if parent_bounds and bounds == parent_bounds:
+        bounds_str = ""
+
+    node_str = f"{'  ' * depth}└── {simplified_view_id} {f'({bounds_str})' if bounds_str else ''}"
+
+    children_str = ""
+    if "childIds" in node:
+        children = [child for child in nodes if 'uniqueId' in child and child['uniqueId'] in node['childIds']]
+        for child in children:
+            children_str += "\n" + parse_node(child, nodes, depth + 1, bounds)
+
+    return node_str + children_str
+
+
+def parse_tree(window_data):
+    # 获取树的根节点（Window信息）
+    window_info = window_data['windows'][0]
+    window_type = window_info.get('windowType', 'Unknown')
+    root_node_str = f"Window ({window_type})"
+    nodes = window_info['tree']['nodes']
+    root_node_str += "\n" + parse_node(nodes[0], nodes, 1)
+    return root_node_str
+
+
+
+# 设置路径
+output_dir = "output_data"
+os.makedirs(output_dir, exist_ok=True)
+
+intermediate_json_path = os.path.join("/inspire/hdd/ws-ba572160-47f8-4ca1-984e-d6bcdeb95dbb/a100-maybe/wangbaode/NIPS_2025/Agent/Dataset/android_env/intermediate_data_8k_succ.json")
+intermediate_json_path_new = os.path.join("/inspire/hdd/ws-ba572160-47f8-4ca1-984e-d6bcdeb95dbb/a100-maybe/wangbaode/NIPS_2025/Agent/Dataset/android_env/intermediate_data.jsonl")
+
+
+
+# === 恢复已处理的 episode_id 列表 ===
+processed_episodes = set()
+all_data = []
+
+if os.path.exists(intermediate_json_path):
+    with open(intermediate_json_path, "r", encoding="utf-8") as f:
+        try:
+            all_data = json.load(f)
+            for record in all_data:
+                processed_episodes.add(record["episode_id"])
+            print(f"恢复 {len(processed_episodes)} 条已处理记录")
+        except Exception as e:
+            print(f"读取中间文件失败: {e}")
+
+# === 加载 TFRecord 数据 ===
+filenames = tf.io.gfile.glob('/inspire/hdd/ws-ba572160-47f8-4ca1-984e-d6bcdeb95dbb/a100-maybe/wangbaode/NIPS_2025/Agent/Dataset/AndControl/android_control*')
+raw_dataset = tf.data.TFRecordDataset(filenames, compression_type='GZIP')
+
+# === 遍历数据集 ===
+record_index = len(all_data)  # 从当前进度继续
+
+for raw_record in tqdm(raw_dataset, desc="遍历 TFRecords"):
+    try:
+        example = tf.train.Example.FromString(raw_record.numpy())
+
+        episode_id = example.features.feature['episode_id'].int64_list.value[0]
+        if episode_id in processed_episodes:
+            continue  # 已处理过，跳过
+
+        goal = example.features.feature['goal'].bytes_list.value[0].decode('utf-8')
+        screenshots = example.features.feature['screenshots'].bytes_list.value
+        accessibility_trees = [
+            android_accessibility_forest_pb2.AndroidAccessibilityForest().FromString(tree)
+            for tree in example.features.feature['accessibility_trees'].bytes_list.value
+        ]
+        screenshot_widths = list(example.features.feature['screenshot_widths'].int64_list.value)
+        screenshot_heights = list(example.features.feature['screenshot_heights'].int64_list.value)
+        actions = [a.decode('utf-8') for a in example.features.feature['actions'].bytes_list.value]
+        step_instructions = [s.decode('utf-8') for s in example.features.feature['step_instructions'].bytes_list.value]
+
+        # 构造数据
+        data = {
+            "episode_id": episode_id,
+            "goal": goal,
+            "screenshots": [],
+            "screenshot_widths": screenshot_widths,
+            "screenshot_heights": screenshot_heights,
+            "actions": actions,
+            "step_instructions": step_instructions,
+            "accessibility_trees": []
+        }
+
+        # 保存截图
+        for i, img in enumerate(screenshots):
+            path = os.path.join(output_dir, f"screenshot_{episode_id}_{i}.png")
+            with open(path, "wb") as f:
+                f.write(img)
+            data["screenshots"].append(path)
+
+        # 转换可达性树
+        for tree in accessibility_trees:
+            json_dict = json.loads(MessageToJson(tree))
+            tree_output = parse_tree(json_dict)
+            data["accessibility_trees"].append(tree_output)
+
+        # 加入列表
+        all_data.append(data)
+        processed_episodes.add(episode_id)
+
+        # 覆盖写入中间 JSON 文件（可断点续跑）
+        # with open(intermediate_json_path_new, "a+", encoding="utf-8") as f:
+        #     json.dump(all_data, f, indent=2, ensure_ascii=False)
+
+        # 逐条追加写入 JSONL
+        with open(intermediate_json_path_new, "a+", encoding="utf-8") as fout:
+            fout.write(json.dumps(data, ensure_ascii=False) + "\n")
+
+        print(f"✅ 已处理 episode_id={episode_id}")
+
+    except Exception as e:
+        print(f"❌ 处理失败，跳过该记录：{e}")
+        continue
+