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feat: list of injection plugins
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@hugotiburtino
hugotiburtino committed Sep 27, 2023
1 parent eb8daff commit b1b7a90
Showing 1 changed file with 115 additions and 0 deletions.
115 changes: 115 additions & 0 deletions src/2023/2023-09-27 Liste von Injection-Plugins.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "1adfb8c3",
"metadata": {},
"outputs": [
{
"ename": "OptionError",
"evalue": "\"No such keys(s): 'display.max_columnwidth'\"",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mOptionError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[1], line 7\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mjson\u001b[39;00m\n\u001b[1;32m 6\u001b[0m pd\u001b[38;5;241m.\u001b[39mset_option(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdisplay.max_rows\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[0;32m----> 7\u001b[0m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_option\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mdisplay.max_columnwidth\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m 9\u001b[0m engine \u001b[38;5;241m=\u001b[39m create_engine(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmysql+mysqlconnector://root:secret@localhost:3306/serlo\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 11\u001b[0m connection \u001b[38;5;241m=\u001b[39m engine\u001b[38;5;241m.\u001b[39mraw_connection()\n",
"File \u001b[0;32m~/.local/lib/python3.8/site-packages/pandas/_config/config.py:261\u001b[0m, in \u001b[0;36mCallableDynamicDoc.__call__\u001b[0;34m(self, *args, **kwds)\u001b[0m\n\u001b[1;32m 260\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m T:\n\u001b[0;32m--> 261\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;18;43m__func__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m~/.local/lib/python3.8/site-packages/pandas/_config/config.py:156\u001b[0m, in \u001b[0;36m_set_option\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 153\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m_set_option() got an unexpected keyword argument \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkwarg\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 155\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m k, v \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(args[::\u001b[38;5;241m2\u001b[39m], args[\u001b[38;5;241m1\u001b[39m::\u001b[38;5;241m2\u001b[39m]):\n\u001b[0;32m--> 156\u001b[0m key \u001b[38;5;241m=\u001b[39m \u001b[43m_get_single_key\u001b[49m\u001b[43m(\u001b[49m\u001b[43mk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msilent\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 158\u001b[0m o \u001b[38;5;241m=\u001b[39m _get_registered_option(key)\n\u001b[1;32m 159\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m o \u001b[38;5;129;01mand\u001b[39;00m o\u001b[38;5;241m.\u001b[39mvalidator:\n",
"File \u001b[0;32m~/.local/lib/python3.8/site-packages/pandas/_config/config.py:121\u001b[0m, in \u001b[0;36m_get_single_key\u001b[0;34m(pat, silent)\u001b[0m\n\u001b[1;32m 119\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m silent:\n\u001b[1;32m 120\u001b[0m _warn_if_deprecated(pat)\n\u001b[0;32m--> 121\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m OptionError(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNo such keys(s): \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mrepr\u001b[39m(pat)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 122\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(keys) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m 123\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m OptionError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPattern matched multiple keys\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
"\u001b[0;31mOptionError\u001b[0m: \"No such keys(s): 'display.max_columnwidth'\""
]
}
],
"source": [
"from sqlalchemy import create_engine\n",
"import pandas as pd\n",
"import mysql.connector\n",
"import json\n",
"\n",
"pd.set_option(\"display.max_rows\", None)\n",
"pd.set_option(\"display.max_columnwidth\", None)\n",
"\n",
"engine = create_engine(\"mysql+mysqlconnector://root:secret@localhost:3306/serlo\")\n",
"\n",
"connection = engine.raw_connection()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b7efe388",
"metadata": {},
"outputs": [],
"source": [
"df = pd.read_sql(\n",
" \"\"\"\n",
" SELECT entity.id, type.name as type, value FROM entity_revision_field\n",
" JOIN entity ON entity_revision_id = current_revision_id \n",
" JOIN type ON type.id = entity.type_id \n",
" WHERE value LIKE '%\"plugin\":\"injection\"%';\n",
" \"\"\",\n",
" con=engine,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "99cf1880",
"metadata": {},
"outputs": [],
"source": [
"def get_injection_states(content, states=None):\n",
" if states is None:\n",
" states = []\n",
"\n",
" if isinstance(content, str):\n",
" content = json.loads(content)\n",
" for key, value in content.items():\n",
" if key == \"plugin\" and value == \"injection\":\n",
" states.append(content[\"state\"])\n",
" if isinstance(value, dict):\n",
" get_injection_states(value, states)\n",
" elif isinstance(value, list):\n",
" for element in value:\n",
" get_injection_states(element, states)\n",
" return states"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "54adec18",
"metadata": {},
"outputs": [],
"source": [
"df[\"states\"] = df[\"value\"].map(get_injection_states)\n",
"df = df.drop(\"value\", axis=1)\n",
"\n",
"df"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

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