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Python Script that extracts methods in java files
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@niccolopaganini
niccolopaganini authored Aug 12, 2023
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384 changes: 384 additions & 0 deletions bin/API_Migration_scripts_readme/Methods in Java Files.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"id": "99e81d0e",
"metadata": {},
"source": [
"# Methods in Plugins"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ab88f421",
"metadata": {},
"outputs": [],
"source": [
"#imports\n",
"import os\n",
"import csv\n",
"import requests"
]
},
{
"cell_type": "markdown",
"id": "6694d43d",
"metadata": {},
"source": [
"## Python Script to check methods"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e2dcb10e",
"metadata": {},
"outputs": [],
"source": [
"def find_matches(csv_file,java_directory): #custom method\n",
" \n",
" methods = []\n",
" with open(csv_file,\"r\") as csvfile: #reading the CSV\n",
" reader = csv.reader(csvfile, delimiter=\",\")\n",
" for row in reader:\n",
" method_name = row[0]\n",
" methods.append(method_name)\n",
" \n",
" matching_methods = [] #reading the java file\n",
" for file in os.listdir(java_directory):\n",
" if file.endswith(\".java\"):\n",
" with open(os.path.join(java_directory, file), \"r\") as f:\n",
" for line in f:\n",
" for method in methods:\n",
" if method in line:\n",
" matching_methods.append((file, line))\n",
" \n",
" return matching_methods"
]
},
{
"cell_type": "markdown",
"id": "ab5108dd",
"metadata": {},
"source": [
"### 1. Data Collection"
]
},
{
"cell_type": "markdown",
"id": "d129d6d5",
"metadata": {},
"source": [
"#### Main Folder"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "148c0e2b",
"metadata": {},
"outputs": [],
"source": [
"#Absolute PATH"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ebbbc031",
"metadata": {},
"outputs": [],
"source": [
"if __name__ == \"__main__\":\n",
" csv_file = \"/tmp\"\n",
" java_directory = \"/tmp\"\n",
" matching_methods = find_matches(csv_file, java_directory)\n",
" for file, line in matching_methods:\n",
" print(f\"{file} has {line}\") #to print which method is in which file"
]
},
{
"cell_type": "markdown",
"id": "82813869",
"metadata": {},
"source": [
"#### Location"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a842f54c",
"metadata": {},
"outputs": [],
"source": [
"if __name__ == \"__main__\":\n",
" csv_file = \"/tmp\"\n",
" java_directory = \"/tmp\"\n",
" matching_methods = find_matches(csv_file, java_directory)\n",
" for file, line in matching_methods:\n",
" print(f\"{file} has {line}\")"
]
},
{
"cell_type": "markdown",
"id": "7eb3310b",
"metadata": {},
"source": [
"#### Location -> actions"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2373580e",
"metadata": {},
"outputs": [],
"source": [
"if __name__ == \"__main__\":\n",
" csv_file = \"/tmp\"\n",
" java_directory = \"/tmp\"\n",
" matching_methods = find_matches(csv_file, java_directory)\n",
" for file, line in matching_methods:\n",
" print(f\"{file} has {line}\")"
]
},
{
"cell_type": "markdown",
"id": "866689b9",
"metadata": {},
"source": [
"#### Sensors"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "146f6762",
"metadata": {},
"outputs": [],
"source": [
"if __name__ == \"__main__\":\n",
" csv_file = \"/tmp\"\n",
" java_directory = \"/tmp\"\n",
" matching_methods = find_matches(csv_file, java_directory)\n",
" for file, line in matching_methods:\n",
" print(f\"{file} has {line}\")"
]
},
{
"cell_type": "markdown",
"id": "20c4f963",
"metadata": {},
"source": [
"#### Verification"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "bf5829b4",
"metadata": {},
"outputs": [],
"source": [
"if __name__ == \"__main__\":\n",
" csv_file = \"/tmp\"\n",
" java_directory = \"/tmp\"\n",
" matching_methods = find_matches(csv_file, java_directory)\n",
" for file, line in matching_methods:\n",
" print(f\"{file} has {line}\")"
]
},
{
"cell_type": "markdown",
"id": "99fb5147",
"metadata": {},
"source": [
"#### Wrapper"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "114a36ae",
"metadata": {},
"outputs": [],
"source": [
"if __name__ == \"__main__\":\n",
" csv_file = \"/tmp\"\n",
" java_directory = \"/tmp\"\n",
" matching_methods = find_matches(csv_file, java_directory)\n",
" for file, line in matching_methods:\n",
" print(f\"{file} has {line}\")"
]
},
{
"cell_type": "markdown",
"id": "40fc40a6",
"metadata": {},
"source": [
"### 2. OPCodeAuth"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6b46a72e",
"metadata": {},
"outputs": [],
"source": [
"if __name__ == \"__main__\":\n",
" csv_file = \"/tmp\"\n",
" java_directory = \"/tmp\"\n",
" matching_methods = find_matches(csv_file, java_directory)\n",
" for file, line in matching_methods:\n",
" print(f\"{file} has {line}\")"
]
},
{
"cell_type": "markdown",
"id": "2fc6202d",
"metadata": {},
"source": [
"### 3. server communication"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "369ca081",
"metadata": {},
"outputs": [],
"source": [
"if __name__ == \"__main__\":\n",
" csv_file = \"/tmp\"\n",
" java_directory = \"/tmp\"\n",
" matching_methods = find_matches(csv_file, java_directory)\n",
" for file, line in matching_methods:\n",
" print(f\"{file} has {line}\")"
]
},
{
"cell_type": "markdown",
"id": "35c33aaa",
"metadata": {},
"source": [
"### 4. serversync"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e7964e49",
"metadata": {},
"outputs": [],
"source": [
"if __name__ == \"__main__\":\n",
" csv_file = \"/tmp\"\n",
" java_directory = \"/tmp\"\n",
" matching_methods = find_matches(csv_file, java_directory)\n",
" for file, line in matching_methods:\n",
" print(f\"{file} has {line}\")"
]
},
{
"cell_type": "markdown",
"id": "3fff1e87",
"metadata": {},
"source": [
"### 5. settings"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "696c8679",
"metadata": {},
"outputs": [],
"source": [
"if __name__ == \"__main__\":\n",
" csv_file = \"/tmp\"\n",
" java_directory = \"/tmp\"\n",
" matching_methods = find_matches(csv_file, java_directory)\n",
" for file, line in matching_methods:\n",
" print(f\"{file} has {line}\")"
]
},
{
"cell_type": "markdown",
"id": "f4c1ae20",
"metadata": {},
"source": [
"### 6. unified logger"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "088c73b6",
"metadata": {},
"outputs": [],
"source": [
"if __name__ == \"__main__\":\n",
" csv_file = \"/tmp\"\n",
" java_directory = \"/tmp\"\n",
" matching_methods = find_matches(csv_file, java_directory)\n",
" for file, line in matching_methods:\n",
" print(f\"{file} has {line}\")"
]
},
{
"cell_type": "markdown",
"id": "b6279463",
"metadata": {},
"source": [
"### 7. usercache"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "41f9ee95",
"metadata": {},
"outputs": [],
"source": [
"if __name__ == \"__main__\":\n",
" csv_file = \"/tmp\"\n",
" java_directory = \"/tmp\"\n",
" matching_methods = find_matches(csv_file, java_directory)\n",
" for file, line in matching_methods:\n",
" print(f\"{file} has {line}\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7153299b",
"metadata": {},
"outputs": [],
"source": []
}
],
"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": "3.11.3"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

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