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* use !login method * hide nb script
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 24, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"import nbformat\n", | ||
"from pathlib import Path\n", | ||
"from nb_helpers.utils import find_nbs" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 25, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"nbs_paths = find_nbs(Path.cwd())" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 26, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"Path('/Users/tcapelle/work/examples/colabs/boosting/Credit_Scorecards_with_XGBoost_and_W&B.ipynb')" | ||
] | ||
}, | ||
"execution_count": 26, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"nb_path = nbs_paths[3]\n", | ||
"nb_path" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 27, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
" for i, cell in enumerate(nb[\"cells\"]):\n", | ||
" if cell[\"cell_type\"] == \"code\":\n", | ||
" if delete_line:\n", | ||
" cell_content = cell[\"source\"].split(\"\\n\")\n", | ||
" cell[\"source\"] = \"\\n\".join(cell_content) \n", | ||
" return i" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"!wandb login" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 28, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"nb = nbformat.read(nb_path, 4)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 29, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"cell = nb[\"cells\"][1]" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 30, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"nbformat.notebooknode.NotebookNode" | ||
] | ||
}, | ||
"execution_count": 30, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"type(cell)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 31, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"{'attachments': {},\n", | ||
" 'cell_type': 'markdown',\n", | ||
" 'idx_': 1,\n", | ||
" 'metadata': {},\n", | ||
" 'source': '<img src=\"http://wandb.me/logo-im-png\" width=\"400\" alt=\"Weights & Biases\" /><br>\\n\\n<!--- @wandbcode{xgboost_vehicle_loan_default} -->\\n\\n<img src=\"http://wandb.me/mini-diagram\" width=\"600\" alt=\"Weights & Biases\" />'}" | ||
] | ||
}, | ||
"execution_count": 31, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"cell" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 32, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"login_idx = idx_login_cell(nb)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 33, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"def insert_login_cell(nb, idx, code=\"!wandb login\"):\n", | ||
" n_cells = len(nb[\"cells\"])\n", | ||
" login_cell = nbformat.v4.new_code_cell(source=code)\n", | ||
" nb[\"cells\"].insert(idx+1, login_cell)\n", | ||
" return nb" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 34, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"nb = insert_login_cell(nb, login_idx)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 35, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"{'cell_type': 'code',\n", | ||
" 'execution_count': None,\n", | ||
" 'idx_': 19,\n", | ||
" 'metadata': {},\n", | ||
" 'source': ''}" | ||
] | ||
}, | ||
"execution_count": 35, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"nb[\"cells\"][login_idx] " | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 36, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"{'id': '98de0a69',\n", | ||
" 'cell_type': 'code',\n", | ||
" 'metadata': {},\n", | ||
" 'execution_count': None,\n", | ||
" 'source': '!wandb login',\n", | ||
" 'outputs': []}" | ||
] | ||
}, | ||
"execution_count": 36, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"nb[\"cells\"][login_idx+1] " | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 37, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"{'attachments': {},\n", | ||
" 'cell_type': 'markdown',\n", | ||
" 'idx_': 21,\n", | ||
" 'metadata': {},\n", | ||
" 'source': '## Vehicle Loan Dataset\\n\\nWe will be using a simplified version of the [Vehicle Loan Default Prediction dataset](https://www.kaggle.com/sneharshinde/ltfs-av-data) from L&T which has been stored in W&B Artifacts. '}" | ||
] | ||
}, | ||
"execution_count": 37, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"nb[\"cells\"][login_idx+2] " | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 48, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"def remove_properties(nb, props=[\"id\", \"idx_\", \"path_\"]):\n", | ||
" for cell in nb[\"cells\"]:\n", | ||
" for prop in props:\n", | ||
" cell.pop(prop, None)\n", | ||
" return nb\n", | ||
"\n", | ||
"def remove_empty_cells(nb):\n", | ||
" nb[\"cells\"] = [cell for cell in nb[\"cells\"] if cell[\"source\"] != \"\"]\n", | ||
" return nb" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 49, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"nb = remove_properties(nb)\n", | ||
"nb = remove_empty_cells(nb)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 50, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"ename": "AttributeError", | ||
"evalue": "idx_", | ||
"output_type": "error", | ||
"traceback": [ | ||
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", | ||
"\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", | ||
"\u001b[1;32m/Users/tcapelle/work/examples/fix_login.ipynb Cell 17\u001b[0m line \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/tcapelle/work/examples/fix_login.ipynb#X20sZmlsZQ%3D%3D?line=2'>3</a>\u001b[0m login_idx \u001b[39m=\u001b[39m idx_login_cell(nb)\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/tcapelle/work/examples/fix_login.ipynb#X20sZmlsZQ%3D%3D?line=3'>4</a>\u001b[0m \u001b[39mif\u001b[39;00m login_idx \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m----> <a href='vscode-notebook-cell:/Users/tcapelle/work/examples/fix_login.ipynb#X20sZmlsZQ%3D%3D?line=4'>5</a>\u001b[0m nb \u001b[39m=\u001b[39m insert_login_cell(nb, login_idx)\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/tcapelle/work/examples/fix_login.ipynb#X20sZmlsZQ%3D%3D?line=5'>6</a>\u001b[0m \u001b[39m# delete path_ attribute\u001b[39;00m\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/tcapelle/work/examples/fix_login.ipynb#X20sZmlsZQ%3D%3D?line=6'>7</a>\u001b[0m nb\u001b[39m.\u001b[39mpop(\u001b[39m\"\u001b[39m\u001b[39mpath_\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39mNone\u001b[39;00m)\n", | ||
"\u001b[1;32m/Users/tcapelle/work/examples/fix_login.ipynb Cell 17\u001b[0m line \u001b[0;36minsert_login_cell\u001b[0;34m(nb, idx, code)\u001b[0m\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/tcapelle/work/examples/fix_login.ipynb#X20sZmlsZQ%3D%3D?line=4'>5</a>\u001b[0m \u001b[39m# update indexes\u001b[39;00m\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/tcapelle/work/examples/fix_login.ipynb#X20sZmlsZQ%3D%3D?line=5'>6</a>\u001b[0m \u001b[39mfor\u001b[39;00m cell \u001b[39min\u001b[39;00m nb[\u001b[39m\"\u001b[39m\u001b[39mcells\u001b[39m\u001b[39m\"\u001b[39m][idx\u001b[39m+\u001b[39m\u001b[39m2\u001b[39m:]:\n\u001b[0;32m----> <a href='vscode-notebook-cell:/Users/tcapelle/work/examples/fix_login.ipynb#X20sZmlsZQ%3D%3D?line=6'>7</a>\u001b[0m cell\u001b[39m.\u001b[39midx_ \u001b[39m+\u001b[39m\u001b[39m=\u001b[39m \u001b[39m1\u001b[39m\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/tcapelle/work/examples/fix_login.ipynb#X20sZmlsZQ%3D%3D?line=7'>8</a>\u001b[0m \u001b[39mreturn\u001b[39;00m nb\n", | ||
"File \u001b[0;32m~/miniforge3/envs/nbdev2/lib/python3.10/site-packages/nbformat/_struct.py:125\u001b[0m, in \u001b[0;36mStruct.__getattr__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 123\u001b[0m result \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m[key]\n\u001b[1;32m 124\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mKeyError\u001b[39;00m:\n\u001b[0;32m--> 125\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mAttributeError\u001b[39;00m(key) \u001b[39mfrom\u001b[39;00m \u001b[39mNone\u001b[39m\n\u001b[1;32m 126\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m 127\u001b[0m \u001b[39mreturn\u001b[39;00m result\n", | ||
"\u001b[0;31mAttributeError\u001b[0m: idx_" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"for nb_path in nbs_paths:\n", | ||
" nb = nbformat.read(nb_path, 4)\n", | ||
" login_idx = idx_login_cell(nb)\n", | ||
" if login_idx is not None:\n", | ||
" nb = insert_login_cell(nb, login_idx)\n", | ||
" # delete path_ attribute\n", | ||
" nb.pop(\"path_\", None)\n", | ||
" nb = remove_properties(nb)\n", | ||
" nb = remove_empty_cells(nb)\n", | ||
" nbformat.validate(nb)\n", | ||
" nbformat.write(nb, nb_path)" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "nbdev2", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.10.6" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 2 | ||
} |
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