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doc/source/development/notebooks/processor_examples/generic_adder.ipynb
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Calculator\n", | ||
"\n", | ||
"This presentations goal it to introduce the features of the `Calculator` and how to configure it." | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"### The challenge\n", | ||
"\n", | ||
"I want calculate with field values." | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"from this:" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 24, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"document = {\n", | ||
" 'message': {\n", | ||
" \"time_in_ms\": \"bla\",\n", | ||
" \"tags\": [\"hello\"]\n", | ||
" }\n", | ||
" }" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"to this:" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 25, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"expected = {\n", | ||
" 'message': {\n", | ||
" \"time_in_ms\": \"bla\",\n", | ||
" \"tags\": [\"hello\", \"new\"]\n", | ||
" }\n", | ||
" }" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"### Create rule and processor" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"create the rule:" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"create the processor config:" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 26, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"processor_config = {\n", | ||
" \"almighty generic adder\":{ \n", | ||
" \"type\": \"generic_adder\",\n", | ||
" \"specific_rules\": [{\"filter\": \"*\", \"generic_adder\": {\"extend_target_list\": True, \"add\": {\"message.tags\": \"New\"}} }],\n", | ||
" \"generic_rules\": [],\n", | ||
" }\n", | ||
" }" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"create the processor with the factory:" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 27, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"generic_adder" | ||
] | ||
}, | ||
"execution_count": 27, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"from unittest import mock\n", | ||
"from logprep.factory import Factory\n", | ||
"\n", | ||
"mock_logger = mock.MagicMock()\n", | ||
"calculator = Factory.create(processor_config, mock_logger)\n", | ||
"calculator" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"### Process event" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 28, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"before: {'message': {'time_in_ms': 'bla', 'tags': ['hello']}}\n", | ||
"after: {'message': {'time_in_ms': 'bla', 'tags': ['hello', 'New']}}\n", | ||
"False\n" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"from copy import deepcopy\n", | ||
"mydocument = deepcopy(document)\n", | ||
"\n", | ||
"\n", | ||
"print(f\"before: {mydocument}\")\n", | ||
"calculator.process(mydocument)\n", | ||
"print(f\"after: {mydocument}\")\n", | ||
"print(mydocument == expected)" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3.11.0 ('.venv': venv)", | ||
"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": "3.11.7" | ||
}, | ||
"orig_nbformat": 4, | ||
"vscode": { | ||
"interpreter": { | ||
"hash": "586280540a85d3e21edc698fe7b86af2848b9b02644e6c22463da25c40a3f1be" | ||
} | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 2 | ||
} |
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