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    "# Use the Dataset Explorer to navigate the dataset\n",
    "\n",
    "\n",
    "The `dataset` module provides objects for exploring, navigating, and loading CAD encoded datasets for machine learning applications. It consists of two primary components that work together to simplify data handling:\n",
    "\n",
    "1. **DatasetExplorer** - For exploring and querying dataset contents\n",
    "2. **DatasetLoader** - For loading and preparing datasets for machine learning training\n",
    "\n",
    "These components are designed to work with the processed data from the `cadaccess` and `cadencoder` modules, as well as the outputs from the flow pipeline system. They provide high-level abstractions that allow users to focus on machine learning tasks rather than data handling complexities.\n",
    "\n",
    "## DatasetExplorer\n",
    "\n",
    "The `DatasetExplorer` class (`dataset_explorer.py`) provides methods for exploring and querying datasets stored in copressed and optimized format (.dataset) with accompanying metadata (.infoset) in files. This class focuses on data discovery, filtering, and statistical analysis.\n",
    "\n",
    "### Key Methods\n",
    "\n",
    "#### Data Discovery and Metadata\n",
    "\n",
    "- `available_groups() -> set`: Returns the set of available dataset groups (faces, edges, file, etc.)\n",
    "- `get_descriptions(table_name: str, key_id: Optional[int] = None, use_wildchar: Optional[bool] = False) -> pd.DataFrame`: Retrieves metadata descriptions (labels, face types, edge types, etc.)\n",
    "- `get_parquet_info_by_code(file_id_code: int)`: Returns rows from the Parquet file for a specific file ID code\n",
    "- `get_file_info_all() -> pd.DataFrame`: Returns all file info from the Parquet metadata\n",
    "\n",
    "#### Data Distribution Analysis\n",
    "\n",
    "- `create_distribution(key: str, bins: int = 10, group: str = \"faces\") -> Dict[str, Any]`: Computes histograms of data distributions using Dask for parallel processing\n",
    "\n",
    "#### Data Filtering and Selection\n",
    "\n",
    "- `get_file_list(group: str, where: Callable[[xr.Dataset], xr.DataArray]) -> List[str]`: Returns file IDs matching a boolean filter condition\n",
    "- `file_dataset(file_id_code: int, group: str) -> xr.Dataset`: Returns a subset of the dataset for a specific file\n",
    "- `build_membership_matrix(group: str, key: str, bins_or_categories: Union[int, List, np.ndarray], as_counts: bool = False) -> tuple[np.ndarray, np.ndarray, np.ndarray]`: Builds a file-by-bin membership matrix for stratified splitting\n",
    "- `decode_file_id_code(code: int) -> str`: Converts an integer file ID code to the original string identifier"
   ]
  },
  {
   "cell_type": "code",
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   "id": "436e9298-7f1a-4ecd-a53e-df9f16bca0f7",
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     "text": [
      "ℹ️ Using TEST LICENSE (expires December 8, 2025 - 36 days remaining)\n",
      "   For production use, obtain your own license from Tech Soft 3D\n",
      "======================================================================\n",
      "✓ HOOPS AI License: Valid (TEST LICENSE - expires Dec 6, 2025)\n",
      "======================================================================\n"
     ]
    }
   ],
   "source": [
    "import hoops_ai\n",
    "import os\n",
    "\n",
    "hoops_ai.set_license(hoops_ai.use_test_license())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "381fd5db-d080-4004-a103-fd5d358ee504",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C:\\Users\\LuisSalazar\\Documents\\MAIN\\MLProject\\repo\\HOOPS-AI-tutorials\\packages\\flows\\ETL_Fabwave_training\n",
      "[DatasetExplorer] Default local cluster started: <Client: 'tcp://127.0.0.1:62792' processes=1 threads=16, memory=7.45 GiB>\n"
     ]
    },
    {
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       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Processing file info:   0%|          | 0/4546 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from hoops_ai.dataset import DatasetExplorer\n",
    "import pathlib \n",
    "# Define paths\n",
    "flow_name = \"ETL_Fabwave_training\"\n",
    "\n",
    "flow_root_dir = pathlib.Path.cwd().parent.joinpath(\"packages\", \"flows\", flow_name)\n",
    "print(flow_root_dir)\n",
    "\n",
    "parquet_file_path        = str(flow_root_dir.joinpath(f\"{flow_name}.infoset\"))\n",
    "merged_store_path     = str(flow_root_dir.joinpath(f\"{flow_name}.dataset\"))\n",
    "parquet_file_attribs  = str(flow_root_dir.joinpath(f\"{flow_name}.attribset\"))\n",
    "\n",
    "\n",
    "explorer = DatasetExplorer(merged_store_path=merged_store_path, parquet_file_path=parquet_file_path, parquet_file_attribs=parquet_file_attribs)\n",
    "#explorer.print_table_of_contents()"
   ]
  },
  {
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   "id": "6e60bf7f-eb5d-4096-bce6-caf93bda24e7",
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       "\n",
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       "\n",
       "[4546 rows x 7 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
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    }
   ],
   "source": [
    "explorer.get_file_info_all()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "69c2007a-7731-4787-a499-06db1a4bcca7",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'graph', 'edges', 'Labels', 'faces'}\n"
     ]
    }
   ],
   "source": [
    "groups = explorer.available_groups()\n",
    "print(groups)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a785595e-8d70-4d6c-a54f-d189339bbbf3",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>       id      name description  table_name\n",
      "13682  0     Plane     not set  face_types\n",
      "13683  1  Cylinder     not set  face_types\n",
      "13684  4     Torus     not set  face_types\n",
      "13685  2      Cone     not set  face_types\n",
      "13686  5     Nurbs     not set  face_types\n",
      "13687  3    Sphere     not set  face_types\n"
     ]
    }
   ],
   "source": [
    "face_type_description = explorer.get_descriptions(\"face_types\")\n",
    "print(type(face_type_description), face_type_description)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3e8c907c-6503-4908-992f-73fe191aff32",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Face labels distribution created in 2.41 seconds\n",
      "\n"
     ]
    },
    {
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      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import time\n",
    "import helper_tutorials  \n",
    "start_time = time.time()\n",
    "dist = explorer.create_distribution(key=\"num_nodes\", bins=12, group=\"graph\")\n",
    "print(f\"Face labels distribution created in {(time.time() - start_time):.2f} seconds\\n\")\n",
    "helper_tutorials.print_distribution_info(dist, title=\"Brep facecount Distribution\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d7e0ba8d-ebab-4bc5-8514-8d45a845db60",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "largest_files = dist['file_id_codes_in_bins'][9]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23b905ce-fb97-4ee2-bf40-de3868a9f992",
   "metadata": {},
   "source": [
    "## Dataset Visualization with DatasetViewer\n",
    "\n",
    "The **DatasetViewer** is a powerful visualization tool that bridges dataset queries and visual analysis. It enables you to quickly visualize query results in two ways:\n",
    "\n",
    "1. **Image Grids**: Generate collages of PNG previews for rapid visual scanning\n",
    "2. **Interactive 3D Views**: Open inline 3D viewers for detailed model inspection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f8d17f9d-3de9-4dff-a01f-4254f0cf5425",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Import the DatasetViewer from the insights module\n",
    "from hoops_ai.insights import DatasetViewer\n",
    "\n",
    "dataset_viewer = DatasetViewer.from_explorer(explorer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "691e2398-30bf-4e56-a1ad-fad1860045dc",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "107\n"
     ]
    }
   ],
   "source": [
    "# condition\n",
    "brepcount_is_large = lambda ds: ds['num_nodes'] > 200\n",
    "filelist = explorer.get_file_list(group=\"graph\", where=brepcount_is_large)\n",
    "print(len(filelist))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "38706d11-e509-4088-b5ca-aed6b3681fd9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 24 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = dataset_viewer.show_preview_as_image(filelist[80:100])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "477d5cad-0bcb-4575-9079-55f16327ac67",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Face labels distribution created in 0.39 seconds\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import time\n",
    "start_time = time.time()\n",
    "face_dist = explorer.create_distribution(key=\"part_label\", bins=None, group=\"Labels\")\n",
    "print(f\"Face labels distribution created in {(time.time() - start_time):.2f} seconds\\n\")\n",
    "helper_tutorials.print_distribution_info(face_dist, title=\"Labels\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "532c0568-89e9-44f5-b2a6-198ee67b2382",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "37\n"
     ]
    }
   ],
   "source": [
    "# condition\n",
    "label_is_pipefittings = lambda ds: ds['part_label'] == 15\n",
    "filelist = explorer.get_file_list(group=\"Labels\", where=label_is_pipefittings)\n",
    "print(len(filelist))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "8ddf3e7a-e5e6-4a59-9e8e-18ea61245464",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 30 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = dataset_viewer.show_preview_as_image(filelist[0:36])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "1fd33405-d646-487a-9b81-f2bd9d0510a3",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>                                name  id  \\\n",
      "0  0230531bd60bc2d4e9cd1a1ee5b67020  33   \n",
      "\n",
      "                                         description  \\\n",
      "0  C:\\Users\\LuisSalazar\\Documents\\MAIN\\MLProject\\...   \n",
      "\n",
      "                                    stream_cache_png  \\\n",
      "0  C:\\Users\\LuisSalazar\\Documents\\MAIN\\MLProject\\...   \n",
      "\n",
      "                                     stream_cache_3d subset table_name  \n",
      "0  C:\\Users\\LuisSalazar\\Documents\\MAIN\\MLProject\\...  train  file_info  \n"
     ]
    }
   ],
   "source": [
    "# Get and print meta data information\n",
    "file_id = 33\n",
    "\n",
    "df_info = explorer.get_parquet_info_by_code(file_id)\n",
    "print(type(df_info), df_info)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "42e37fde-a9db-40c7-baf0-ae183bda4abe",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[DatasetExplorer] No records found for part_label_description.\n",
      "Empty DataFrame\n",
      "Columns: []\n",
      "Index: []\n"
     ]
    }
   ],
   "source": [
    "print(explorer.get_descriptions(\"part_label_description\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "cf864c67-0f5f-4b7d-8037-b2803e180fa8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Face labels distribution created in 0.38 seconds\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "start_time = time.time()\n",
    "dist = explorer.create_distribution(key=\"num_nodes\", bins=12, group=\"graph\")\n",
    "print(f\"Face labels distribution created in {(time.time() - start_time):.2f} seconds\\n\")\n",
    "helper_tutorials.print_distribution_info(dist, title=\"Brep facecount Distribution\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83793d5b-93c9-423a-be2e-0d543e33d15f",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Gather files that fulfilled a given condition. Filter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "39715be3-a1ed-43db-a950-6def2d0a64bf",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Filtering completed in 0.09 seconds\n",
      "Found 37 files with file_labels == 15 (Pipe Fittings)\n",
      "\n",
      "[  77  173  208  357  476  631  691  821 1230 1365 1534 1605 1611 1776\n",
      " 1978 2206 2310 2353 2676 2714 2747 2866 3057 3138 3196 3213 3282 3300\n",
      " 3359 3610 3873 3877 3932 4062 4065 4225 4241]\n"
     ]
    }
   ],
   "source": [
    "start_time = time.time()\n",
    "\n",
    "# condition\n",
    "label_is_pipefittings = lambda ds: ds['part_label'] == 15\n",
    "\n",
    "filelist = explorer.get_file_list(group=\"Labels\", where=label_is_pipefittings)\n",
    "print(f\"Filtering completed in {(time.time() - start_time):.2f} seconds\")\n",
    "print(f\"Found {len(filelist)} files with file_labels == 15 (Pipe Fittings)\\n\")\n",
    "print(filelist)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30cfce7a-515a-4ebe-87bd-2286235a823b",
   "metadata": {},
   "source": [
    "# Query data for single file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "83350a38-9bde-47a3-84a5-2bd47724a5e0",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def demo_query_single_file(explorer, file_id):\n",
    "    \"\"\"Show how to access and query dataset details for a single file.\"\"\"\n",
    "    print(\"=== Single File Dataset Access ===\")\n",
    "    import time\n",
    "    # Get and print parquet info\n",
    "    df_info = explorer.get_parquet_info_by_code(file_id)\n",
    "    print(\"Files info:\")\n",
    "    for column in df_info.columns:\n",
    "        print(f\"Column: {column}\")\n",
    "        for value in df_info[column]:\n",
    "            print(f\"  {value}\")\n",
    "    print()\n",
    "\n",
    "    # Access various dataset groups\n",
    "    groups = [\"faces\", \"Labels\", \"edges\", \"graph\"]\n",
    "    datasets = {grp: explorer.file_dataset(file_id_code=file_id, group=grp) for grp in groups}\n",
    "\n",
    "    print(f\"Datasets for file ID '{file_id}':\")\n",
    "    for grp, ds in datasets.items():\n",
    "        for name, da in ds.data_vars.items():\n",
    "            print(f\"  [{grp}] VARIABLE: {name}, Shape: {da.shape}, Dims: {da.dims}, Size: {da.size}\")\n",
    "    print()\n",
    "\n",
    "    # Query uv grids data for a specific face\n",
    "    start_time = time.time()\n",
    "    uv_grid_data = datasets[\"faces\"][\"face_discretization\"].isel(face=2)\n",
    "    print(\"uv_grids data for face index 2:\")\n",
    "    np_uvgrid = uv_grid_data.data.compute()\n",
    "    print(f\"Query took {(time.time() - start_time):.2f} seconds\\n\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "4dd615c0-6659-4407-b3a8-951770560272",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=== Single File Dataset Access ===\n",
      "Files info:\n",
      "Column: name\n",
      "  fc60de484998e424494caafa0e286fc3\n",
      "Column: id\n",
      "  4500\n",
      "Column: description\n",
      "  C:\\Users\\LuisSalazar\\Documents\\MAIN\\MLProject\\repo\\HOOPS-AI-tutorials\\packages\\cadfiles\\fabwave\\CAD25-45_TOTAL1000\\Boxes\\STEP\\836a504e-ac03-4248-affd-de81643d4191.stp\n",
      "Column: stream_cache_png\n",
      "  C:\\Users\\LuisSalazar\\Documents\\MAIN\\MLProject\\repo\\HOOPS-AI-tutorials\\notebooks\\out\\flows\\ETL_Fabwave_training\\stream_cache\\fc60de484998e424494caafa0e286fc3.png\n",
      "Column: stream_cache_3d\n",
      "  C:\\Users\\LuisSalazar\\Documents\\MAIN\\MLProject\\repo\\HOOPS-AI-tutorials\\notebooks\\out\\flows\\ETL_Fabwave_training\\stream_cache\\fc60de484998e424494caafa0e286fc3.scs\n",
      "Column: subset\n",
      "  test\n",
      "Column: table_name\n",
      "  file_info\n",
      "\n",
      "Datasets for file ID '4500':\n",
      "  [faces] VARIABLE: face_areas, Shape: (11,), Dims: ('face',), Size: 11\n",
      "  [faces] VARIABLE: face_discretization, Shape: (11, 100, 7), Dims: ('face', 'sample', 'component'), Size: 7700\n",
      "  [faces] VARIABLE: face_indices, Shape: (11,), Dims: ('face',), Size: 11\n",
      "  [faces] VARIABLE: face_loops, Shape: (11,), Dims: ('face',), Size: 11\n",
      "  [faces] VARIABLE: face_types, Shape: (11,), Dims: ('face',), Size: 11\n",
      "  [faces] VARIABLE: file_id_code_faces, Shape: (11,), Dims: ('face',), Size: 11\n",
      "  [Labels] VARIABLE: file_id_code_Labels, Shape: (1,), Dims: ('Labels_part_label_dim_0',), Size: 1\n",
      "  [Labels] VARIABLE: part_label, Shape: (1,), Dims: ('Labels_part_label_dim_0',), Size: 1\n",
      "  [edges] VARIABLE: edge_convexities, Shape: (24,), Dims: ('edge',), Size: 24\n",
      "  [edges] VARIABLE: edge_dihedral_angles, Shape: (24,), Dims: ('edge',), Size: 24\n",
      "  [edges] VARIABLE: edge_indices, Shape: (24,), Dims: ('edge',), Size: 24\n",
      "  [edges] VARIABLE: edge_lengths, Shape: (24,), Dims: ('edge',), Size: 24\n",
      "  [edges] VARIABLE: edge_types, Shape: (24,), Dims: ('edge',), Size: 24\n",
      "  [edges] VARIABLE: edge_u_grids, Shape: (24, 10, 6), Dims: ('edge', 'u', 'component'), Size: 1440\n",
      "  [edges] VARIABLE: file_id_code_edges, Shape: (24,), Dims: ('edge',), Size: 24\n",
      "  [graph] VARIABLE: edges_destination, Shape: (24,), Dims: ('edge',), Size: 24\n",
      "  [graph] VARIABLE: edges_source, Shape: (24,), Dims: ('edge',), Size: 24\n",
      "  [graph] VARIABLE: file_id_code_graph, Shape: (24,), Dims: ('edge',), Size: 24\n",
      "  [graph] VARIABLE: num_nodes, Shape: (24,), Dims: ('edge',), Size: 24\n",
      "\n",
      "uv_grids data for face index 2:\n",
      "Query took 0.86 seconds\n",
      "\n"
     ]
    }
   ],
   "source": [
    "demo_query_single_file(explorer,file_id=4500)"
   ]
  }
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