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add example notebook for cache_database
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 3, | ||
"id": "022f96ae-b55e-4eab-af77-d129b48986b0", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"from pyiron_workflow import Workflow\n", | ||
"from pyiron_xzzx.cache_database.node import store_node_in_database, restore_node_from_database, restore_node_outputs\n", | ||
"from pyiron_xzzx.cache_database.cache_database import CacheDatabase" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 4, | ||
"id": "af7970c2-c9b9-425c-8772-890693b808f0", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"{'xy__b': -1, 'yz__a': 5, 'output__a': 2, 'output__b': 4}\n" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"@Workflow.wrap.as_function_node()\n", | ||
"def AddNode(x: int = 1, y: int = 2) -> tuple[int, int]:\n", | ||
" a = x + y\n", | ||
" b = x - y\n", | ||
" return a, b\n", | ||
" \n", | ||
"wf = Workflow(\"wf\")\n", | ||
"wf.x = 1\n", | ||
"wf.y = 2\n", | ||
"wf.z = 3\n", | ||
"wf.xy = AddNode(wf.x, wf.y)\n", | ||
"wf.yz = AddNode(wf.y, wf.z)\n", | ||
"wf.output = AddNode()\n", | ||
"wf.output.inputs.x = wf.xy.outputs.a\n", | ||
"wf.output.inputs.y = wf.yz.outputs.b\n", | ||
"print(wf())\n", | ||
"\n", | ||
"# wf.draw()" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "ebaf4cec-898b-4b7f-b323-f6f27a6895a6", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"node_hash: 7444eb79b26437f3934876c731cb89a67d21dfc710847bf5b0f3a9ccbfdd4417\n" | ||
] | ||
}, | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"{'output__a': 2, 'output__b': 4, 'xy__b': -1, 'yz__a': 5}" | ||
] | ||
}, | ||
"execution_count": 5, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"db = CacheDatabase(\"postgresql://seibl:seibl@localhost/pyiron\")\n", | ||
"db.drop_table()\n", | ||
"db.create_table()\n", | ||
"node_hash = store_node_in_database(db, wf.output, store_outputs=True, store_input_nodes_recursively=True)\n", | ||
"print(\"node_hash: \", node_hash)\n", | ||
"\n", | ||
"wf2 = Workflow(\"wf2\")\n", | ||
"node = restore_node_from_database(db, node_hash, wf2)\n", | ||
"wf2()" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 7, | ||
"id": "845d4e32-084f-484e-b604-02d77af15dc9", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"application/json": { | ||
"connections": "[]", | ||
"default": "\"NOT_DATA\"", | ||
"owner": "\"/wf3/output\"", | ||
"strict_hints": "true", | ||
"type_hint": "\"<class 'int'>\"", | ||
"value": "\"NOT_DATA\"" | ||
}, | ||
"text/plain": [ | ||
"<pyiron_workflow.mixin.injection.OutputDataWithInjection at 0x763f18ed6600>" | ||
] | ||
}, | ||
"metadata": {}, | ||
"output_type": "display_data" | ||
}, | ||
{ | ||
"data": { | ||
"application/json": { | ||
"connections": "[]", | ||
"default": "\"NOT_DATA\"", | ||
"owner": "\"/wf3/output\"", | ||
"strict_hints": "true", | ||
"type_hint": "\"<class 'int'>\"", | ||
"value": "2" | ||
}, | ||
"text/plain": [ | ||
"<pyiron_workflow.mixin.injection.OutputDataWithInjection at 0x763f18ed6600>" | ||
] | ||
}, | ||
"metadata": {}, | ||
"output_type": "display_data" | ||
} | ||
], | ||
"source": [ | ||
"wf3 = Workflow(\"wf3\")\n", | ||
"node = restore_node_from_database(db, node_hash, wf3)\n", | ||
"display(wf3.output.outputs[\"a\"])\n", | ||
"restore_node_outputs(wf3.output)\n", | ||
"display(wf3.output.outputs[\"a\"])" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "c35fc4b4", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "pyiron_workflow", | ||
"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": "3.12.0" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |