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{
"cells": [
{
"cell_type": "code",
"execution_count": 33,
"id": "0b6e3da3-d921-4445-927c-b8a66b3a2428",
"metadata": {},
"outputs": [],
"source": [
"from github import Github\n",
"import requests"
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "1b5b14e4-3b9d-41c0-9df6-4f63d76e05da",
"metadata": {},
"outputs": [],
"source": [
"def get_diff(url):\n",
" return requests.get(url).content.decode()"
]
},
{
"cell_type": "code",
"execution_count": 120,
"id": "ebe058f9-f62d-4978-890a-3e8200999779",
"metadata": {},
"outputs": [],
"source": [
"tok = \"MYGITHUBTOKEN\""
]
},
{
"cell_type": "code",
"execution_count": 157,
"id": "19d37444-e62e-4e31-bce8-6cd1ee63e133",
"metadata": {},
"outputs": [],
"source": [
"from tqdm.notebook import tqdm"
]
},
{
"cell_type": "code",
"execution_count": 155,
"id": "fd25eafa-fb29-4051-ae0a-f71a0dbc92db",
"metadata": {},
"outputs": [],
"source": [
"gh = Github(\"MYGITNAME\", tok)"
]
},
{
"cell_type": "code",
"execution_count": 160,
"id": "f3b9c5f6-31a0-49b2-834b-982952c6b7e5",
"metadata": {},
"outputs": [],
"source": [
"data = {}"
]
},
{
"cell_type": "code",
"execution_count": 162,
"id": "c60588b7-56de-457f-93a6-3e8b3b8965c8",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0 out of 17\n",
"Data length: 29\n",
"1 out of 17\n",
"Data length: 53\n",
"2 out of 17\n",
"Data length: 79\n",
"3 out of 17\n",
"Data length: 107\n",
"4 out of 17\n",
"Data length: 134\n",
"5 out of 17\n",
"Data length: 159\n",
"6 out of 17\n",
"Data length: 187\n",
"7 out of 17\n",
"Data length: 211\n",
"8 out of 17\n",
"Data length: 239\n",
"9 out of 17\n",
"Data length: 266\n",
"10 out of 17\n",
"Data length: 295\n",
"11 out of 17\n",
"Data length: 323\n",
"12 out of 17\n",
"Data length: 353\n",
"13 out of 17\n",
"Data length: 380\n",
"14 out of 17\n",
"Data length: 409\n",
"15 out of 17\n",
"Data length: 439\n",
"16 out of 17\n",
"Data length: 454\n"
]
}
],
"source": [
"repo = gh.get_repo(\"huggingface/accelerate\")\n",
"pulls = repo.get_pulls(state=\"closed\")\n",
"total_pages = (pulls.totalCount // 30) + 1\n",
"total = pulls.totalCount\n",
"for page_id in range(total_pages):\n",
" page = pulls.get_page(page_id)\n",
" for pull in page:\n",
" pull_id = pull.id\n",
" pull_diff = get_diff(pull.diff_url)\n",
" pull_user = pull.user.login\n",
" if pull.is_merged():\n",
" code_comments = []\n",
" conversation = []\n",
" # Code comments\n",
" for comment in pull.get_comments():\n",
" code_comments.append(\n",
" {\n",
" \"body\":comment.body,\n",
" \"diff_hunk\":comment.diff_hunk,\n",
" \"from_author\": comment.user.login == pull_user\n",
" }\n",
" )\n",
" for comment in pull.get_issue_comments():\n",
" conversation.append(\n",
" dict(\n",
" body=comment.body,\n",
" from_author=comment.user.login == pull_user\n",
" )\n",
" )\n",
" data[pull_id] = {\n",
" \"diff\":pull_diff, \n",
" \"code_comments\":code_comments, \n",
" \"context\":conversation,\n",
" \"url\":pull.url\n",
" } \n",
" print(f\"{page_id} out of {total_pages}\")\n",
" print(f'Data length: {len(data)}')"
]
},
{
"cell_type": "code",
"execution_count": 164,
"id": "16140ee6-88e7-4cdf-b215-2282f1034dcf",
"metadata": {},
"outputs": [],
"source": [
"new_code = []\n",
"for item in list(data.keys()):\n",
" d = data[item]\n",
" d[\"pr_id\"] = item\n",
" if len(d[\"code_comments\"]) > 1:\n",
" new_code.append(d)"
]
},
{
"cell_type": "code",
"execution_count": 174,
"id": "1149e33e-75bf-4b0b-a94c-fe5ee2a291bc",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"134"
]
},
"execution_count": 174,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(new_code)"
]
},
{
"cell_type": "code",
"execution_count": 175,
"id": "7763a1aa-727c-41c9-b348-a4adaaca8445",
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"with open(\"data.json\", \"w+\") as f:\n",
" json.dump(new_code, f)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "71e93f8e-35a3-4a8c-a706-4dc88d38f3fc",
"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": "3.9.12"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
|