|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "id": "1e3146f1", |
| 6 | + "metadata": {}, |
| 7 | + "source": [ |
| 8 | + "# Running in VSCode:\n", |
| 9 | + "\n", |
| 10 | + "1. Set kernal to python-interface-to-workflows 3.11.x\n", |
| 11 | + "2. Hit F1, run Jupyter: Import Notebook to Script\n", |
| 12 | + "3. Click notebook_division.ipynb\n", |
| 13 | + "4. Run the cells sequentially" |
| 14 | + ] |
| 15 | + }, |
| 16 | + { |
| 17 | + "cell_type": "code", |
| 18 | + "execution_count": null, |
| 19 | + "id": "494174ef", |
| 20 | + "metadata": {}, |
| 21 | + "outputs": [], |
| 22 | + "source": [ |
| 23 | + "import json\n", |
| 24 | + "\n", |
| 25 | + "from hera.workflows import (\n", |
| 26 | + " Artifact,\n", |
| 27 | + " EmptyDirVolume,\n", |
| 28 | + " Steps,\n", |
| 29 | + " Workflow,\n", |
| 30 | + " script, # pyright: ignore[reportUnknownVariableType]\n", |
| 31 | + ")\n", |
| 32 | + "from hera.workflows import models as m\n", |
| 33 | + "\n", |
| 34 | + "\n", |
| 35 | + "@script(\n", |
| 36 | + " volume_mounts=[m.VolumeMount(name=\"output-dir\", mount_path=\"/output-dir/\")],\n", |
| 37 | + " outputs=Artifact(name=\"json-output\", path=\"/output-dir/output.json\"),\n", |
| 38 | + ")\n", |
| 39 | + "def do_division(a: int, b: int):\n", |
| 40 | + " div = a / b\n", |
| 41 | + " intdiv = a // b\n", |
| 42 | + " remain = a % b\n", |
| 43 | + " dictionary_of_results = {\n", |
| 44 | + " \"divide\": div,\n", |
| 45 | + " \"quotient\": intdiv,\n", |
| 46 | + " \"remainder\": remain,\n", |
| 47 | + " }\n", |
| 48 | + " with open(\"/output-dir/output.json\", \"w\") as otpt:\n", |
| 49 | + " json.dump(dictionary_of_results, otpt)\n", |
| 50 | + "\n", |
| 51 | + "\n", |
| 52 | + "with Workflow(\n", |
| 53 | + " generate_name=\"hera-division-\", # when running on graphql this should be name\n", |
| 54 | + " entrypoint=\"divide\",\n", |
| 55 | + " api_version=\"argoproj.io/v1alpha1\",\n", |
| 56 | + " kind=\"Workflow\", # ClusterWorkflowTemplate\", when on graphql\n", |
| 57 | + " labels={\"workflows.diamond.ac.uk/science-group-examples\": \"true\"},\n", |
| 58 | + " annotations={\n", |
| 59 | + " \"workflows.argoproj.io/title\": \"Division via hera test\",\n", |
| 60 | + " \"workflows.argoproj.io/description\": \"\"\"Takes a numerical input and returns\n", |
| 61 | + " the remainder, output float, and output string to a json file\"\"\",\n", |
| 62 | + " \"workflows.diamond.ac.uk/repository\": \"https://github.com/DiamondLightSource/python-interface-to-workflows\",\n", |
| 63 | + " },\n", |
| 64 | + " volumes=EmptyDirVolume(name=\"output-dir\", mount_path=\"/output-dir\"),\n", |
| 65 | + ") as w:\n", |
| 66 | + " with Steps(name=\"divide\"):\n", |
| 67 | + " do_division(name=\"first\", arguments={\"a\": 2, \"b\": 5})\n", |
| 68 | + "\n" |
| 69 | + ] |
| 70 | + }, |
| 71 | + { |
| 72 | + "cell_type": "code", |
| 73 | + "execution_count": null, |
| 74 | + "id": "04708f46", |
| 75 | + "metadata": {}, |
| 76 | + "outputs": [], |
| 77 | + "source": [ |
| 78 | + "with open(\"division_from_jupyter.yaml\", \"w\") as div:\n", |
| 79 | + " div.write(w.to_yaml()) # pyright: ignore[reportUnknownMemberType]" |
| 80 | + ] |
| 81 | + }, |
| 82 | + { |
| 83 | + "cell_type": "code", |
| 84 | + "execution_count": null, |
| 85 | + "id": "7e9f88cb", |
| 86 | + "metadata": {}, |
| 87 | + "outputs": [ |
| 88 | + { |
| 89 | + "name": "stdout", |
| 90 | + "output_type": "stream", |
| 91 | + "text": [ |
| 92 | + "expiry_str: '1784802224' 1784801151.7235122\n" |
| 93 | + ] |
| 94 | + }, |
| 95 | + { |
| 96 | + "ename": "ValueError", |
| 97 | + "evalue": "invalid literal for int() with base 10: \"'1784802224'\"", |
| 98 | + "output_type": "error", |
| 99 | + "traceback": [ |
| 100 | + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", |
| 101 | + "\u001b[31mValueError\u001b[39m Traceback (most recent call last)", |
| 102 | + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[3]\u001b[39m\u001b[32m, line 3\u001b[39m\n\u001b[32m 1\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m python_interface_to_workflows.submit_to_argo \u001b[38;5;28;01mimport\u001b[39;00m submit_workflow_to_argo\n\u001b[32m 2\u001b[39m \n\u001b[32m----> \u001b[39m\u001b[32m3\u001b[39m submit_workflow_to_argo(w)\n", |
| 103 | + "\u001b[36mFile \u001b[39m\u001b[32m/workspaces/python-interface-to-workflows/src/python_interface_to_workflows/submit_to_argo.py:13\u001b[39m, in \u001b[36msubmit_workflow_to_argo\u001b[39m\u001b[34m(w)\u001b[39m\n\u001b[32m 12\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34msubmit_workflow_to_argo\u001b[39m(w: Workflow):\n\u001b[32m---> \u001b[39m\u001b[32m13\u001b[39m \u001b[30;43mset_token_env_variable\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mstaging\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43;01mTrue\u001b[39;49;00m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 14\u001b[39m dotenv.load_dotenv(dotenv_path=\u001b[33m\"\u001b[39m\u001b[33msrc/.env\u001b[39m\u001b[33m\"\u001b[39m, override=\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[32m 15\u001b[39m w.namespace = os.environ.get(\u001b[33m\"\u001b[39m\u001b[33mNAMESPACE\u001b[39m\u001b[33m\"\u001b[39m)\n", |
| 104 | + "\u001b[36mFile \u001b[39m\u001b[32m/workspaces/python-interface-to-workflows/src/python_interface_to_workflows/auth/keycloak_checker.py:39\u001b[39m, in \u001b[36mset_token_env_variable\u001b[39m\u001b[34m(staging)\u001b[39m\n\u001b[32m 31\u001b[39m code_challenge, code_challenge_method = generate_code_challenge(code_verifier)\n\u001b[32m 32\u001b[39m auth_url = keycloak_openid.auth_url(\n\u001b[32m 33\u001b[39m redirect_uri=\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mhttp://localhost:\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mport\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m/\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 34\u001b[39m scope=\u001b[33m\"\u001b[39m\u001b[33mopenid posix-uid profile email fedid\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m (...)\u001b[39m\u001b[32m 37\u001b[39m code_challenge_method=code_challenge_method,\n\u001b[32m 38\u001b[39m )\n\u001b[32m---> \u001b[39m\u001b[32m39\u001b[39m \u001b[38;5;28;01mmatch\u001b[39;00m \u001b[30;43mopen_auth_url\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mauth_url\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mport\u001b[39;49m\u001b[30;43m)\u001b[39;49m:\n\u001b[32m 40\u001b[39m \u001b[38;5;28;01mcase\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 41\u001b[39m token: \u001b[38;5;28mdict\u001b[39m[\u001b[38;5;28mstr\u001b[39m, \u001b[38;5;28mstr\u001b[39m] = ( \u001b[38;5;66;03m# pyright: ignore[reportUnknownVariableType]\u001b[39;00m\n\u001b[32m 42\u001b[39m keycloak_openid.token( \u001b[38;5;66;03m# pyright: ignore[reportUnknownMemberType]\u001b[39;00m\n\u001b[32m 43\u001b[39m grant_type=\u001b[33m\"\u001b[39m\u001b[33mauthorization_code\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m (...)\u001b[39m\u001b[32m 47\u001b[39m )\n\u001b[32m 48\u001b[39m )\n", |
| 105 | + "\u001b[36mFile \u001b[39m\u001b[32m/workspaces/python-interface-to-workflows/src/python_interface_to_workflows/auth/open_auth_url.py:36\u001b[39m, in \u001b[36mopen_auth_url\u001b[39m\u001b[34m(auth_url, port)\u001b[39m\n\u001b[32m 34\u001b[39m expiry_str: \u001b[38;5;28mstr\u001b[39m = os.environ.get(\u001b[33m\"\u001b[39m\u001b[33mEXPIRY\u001b[39m\u001b[33m\"\u001b[39m) \u001b[38;5;66;03m# pyright: ignore\u001b[39;00m\n\u001b[32m 35\u001b[39m \u001b[38;5;28mprint\u001b[39m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mexpiry_str: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mexpiry_str\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m, \u001b[38;5;28mstr\u001b[39m(time.time()))\n\u001b[32m---> \u001b[39m\u001b[32m36\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m (expiry_str == \u001b[33m\"\u001b[39m\u001b[33m\"\u001b[39m \u001b[38;5;129;01mor\u001b[39;00m \u001b[30;43mint\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mexpiry_str\u001b[39;49m\u001b[30;43m)\u001b[39;49m) <= \u001b[38;5;28mfloat\u001b[39m(time.time()):\n\u001b[32m 37\u001b[39m httpd = _ReusingHTTPServer((\u001b[33m\"\u001b[39m\u001b[33mlocalhost\u001b[39m\u001b[33m\"\u001b[39m, port), CallbackHandler)\n\u001b[32m 38\u001b[39m webbrowser.open(auth_url)\n", |
| 106 | + "\u001b[31mValueError\u001b[39m: invalid literal for int() with base 10: \"'1784802224'\"" |
| 107 | + ] |
| 108 | + } |
| 109 | + ], |
| 110 | + "source": [ |
| 111 | + "from python_interface_to_workflows.submit_to_argo import submit_workflow_to_argo\n", |
| 112 | + "\n", |
| 113 | + "submit_workflow_to_argo(w)" |
| 114 | + ] |
| 115 | + } |
| 116 | + ], |
| 117 | + "metadata": { |
| 118 | + "kernelspec": { |
| 119 | + "display_name": "python-interface-to-workflows (3.11.x)", |
| 120 | + "language": "python", |
| 121 | + "name": "python3" |
| 122 | + }, |
| 123 | + "language_info": { |
| 124 | + "codemirror_mode": { |
| 125 | + "name": "ipython", |
| 126 | + "version": 3 |
| 127 | + }, |
| 128 | + "file_extension": ".py", |
| 129 | + "mimetype": "text/x-python", |
| 130 | + "name": "python", |
| 131 | + "nbconvert_exporter": "python", |
| 132 | + "pygments_lexer": "ipython3", |
| 133 | + "version": "3.11.15" |
| 134 | + } |
| 135 | + }, |
| 136 | + "nbformat": 4, |
| 137 | + "nbformat_minor": 5 |
| 138 | +} |
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