{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ebb1428f6428646",
   "metadata": {},
   "outputs": [],
   "source": [
    "%pip install pandas\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b8b55c9e96c43bc3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-07T11:57:54.752360Z",
     "start_time": "2024-05-07T11:57:51.973091Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: python-dotenv in /home/marius/miniconda3/envs/llm_langchain/lib/python3.11/site-packages (1.0.1)\r\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install python-dotenv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "b68da291930fbf4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-07T16:43:17.166579Z",
     "start_time": "2024-05-07T16:43:12.783177Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting PyGithub\r\n",
      "  Downloading PyGithub-2.3.0-py3-none-any.whl.metadata (3.8 kB)\r\n",
      "Collecting pynacl>=1.4.0 (from PyGithub)\r\n",
      "  Using cached PyNaCl-1.5.0-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl.metadata (8.6 kB)\r\n",
      "Requirement already satisfied: requests>=2.14.0 in /home/marius/miniconda3/envs/llm_langchain/lib/python3.11/site-packages (from PyGithub) (2.31.0)\r\n",
      "Collecting pyjwt>=2.4.0 (from pyjwt[crypto]>=2.4.0->PyGithub)\r\n",
      "  Downloading PyJWT-2.8.0-py3-none-any.whl.metadata (4.2 kB)\r\n",
      "Requirement already satisfied: typing-extensions>=4.0.0 in /home/marius/miniconda3/envs/llm_langchain/lib/python3.11/site-packages (from PyGithub) (4.10.0)\r\n",
      "Requirement already satisfied: urllib3>=1.26.0 in /home/marius/miniconda3/envs/llm_langchain/lib/python3.11/site-packages (from PyGithub) (2.2.1)\r\n",
      "Requirement already satisfied: Deprecated in /home/marius/miniconda3/envs/llm_langchain/lib/python3.11/site-packages (from PyGithub) (1.2.14)\r\n",
      "Requirement already satisfied: cryptography>=3.4.0 in /home/marius/miniconda3/envs/llm_langchain/lib/python3.11/site-packages (from pyjwt[crypto]>=2.4.0->PyGithub) (42.0.5)\r\n",
      "Requirement already satisfied: cffi>=1.4.1 in /home/marius/miniconda3/envs/llm_langchain/lib/python3.11/site-packages (from pynacl>=1.4.0->PyGithub) (1.16.0)\r\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in /home/marius/miniconda3/envs/llm_langchain/lib/python3.11/site-packages (from requests>=2.14.0->PyGithub) (3.3.2)\r\n",
      "Requirement already satisfied: idna<4,>=2.5 in /home/marius/miniconda3/envs/llm_langchain/lib/python3.11/site-packages (from requests>=2.14.0->PyGithub) (3.6)\r\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /home/marius/miniconda3/envs/llm_langchain/lib/python3.11/site-packages (from requests>=2.14.0->PyGithub) (2024.2.2)\r\n",
      "Requirement already satisfied: wrapt<2,>=1.10 in /home/marius/miniconda3/envs/llm_langchain/lib/python3.11/site-packages (from Deprecated->PyGithub) (1.16.0)\r\n",
      "Requirement already satisfied: pycparser in /home/marius/miniconda3/envs/llm_langchain/lib/python3.11/site-packages (from cffi>=1.4.1->pynacl>=1.4.0->PyGithub) (2.21)\r\n",
      "Downloading PyGithub-2.3.0-py3-none-any.whl (354 kB)\r\n",
      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m354.4/354.4 kB\u001b[0m \u001b[31m3.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m:00:01\u001b[0m\r\n",
      "\u001b[?25hDownloading PyJWT-2.8.0-py3-none-any.whl (22 kB)\r\n",
      "Downloading PyNaCl-1.5.0-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl (856 kB)\r\n",
      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m856.7/856.7 kB\u001b[0m \u001b[31m11.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m\r\n",
      "\u001b[?25hInstalling collected packages: pyjwt, pynacl, PyGithub\r\n",
      "Successfully installed PyGithub-2.3.0 pyjwt-2.8.0 pynacl-1.5.0\r\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install PyGithub\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "68cdc5d497e208e3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-11T16:18:46.000392Z",
     "start_time": "2024-05-11T16:18:45.992401Z"
    }
   },
   "outputs": [],
   "source": [
    "from dotenv import load_dotenv\n",
    "import os\n",
    "\n",
    "load_dotenv(\"thesis_env_ro\", verbose=True)  # take environment variables from the file\n",
    "token = os.getenv('GITHUB_PERSONAL_ACCESS_TOKEN')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1069e0bfa4686f67",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-11T16:23:55.511058Z",
     "start_time": "2024-05-11T16:23:23.511924Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "https://api.github.com/repos/norandom/log2ml/releases/assets/166259205\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7d46bf8efe9e4e0591950e029c353573",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0.00/1.90G [00:00<?, ?iB/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "File downloaded successfully and saved as lab_logs_normal_activity_may_11_2024.csv\n"
     ]
    }
   ],
   "source": [
    "from github import Github\n",
    "import requests\n",
    "from tqdm.notebook import tqdm\n",
    "\n",
    "\n",
    "def get_specific_file_from_tagged_release(token, repo_name, tag_name, filename):\n",
    "    g = Github(token)\n",
    "    repo = g.get_repo(repo_name)\n",
    "    releases = repo.get_releases()\n",
    "\n",
    "    for release in releases:\n",
    "        if release.tag_name == tag_name:\n",
    "            for asset in release.get_assets():\n",
    "                if asset.name == filename:\n",
    "                    return asset.url\n",
    "    print(\"File not found. Try get_specific_file_from_latest_release() instead.\")\n",
    "    return None\n",
    "\n",
    "def get_specific_file_from_latest_release(token, repo_name, filename):\n",
    "    g = Github(token)\n",
    "    repo = g.get_repo(repo_name)\n",
    "    release = repo.get_latest_release()\n",
    "\n",
    "    for asset in release.get_assets():\n",
    "        if asset.name == filename:\n",
    "            return asset.url  # Use asset.url which points to API URL needing headers\n",
    "\n",
    "def download_file(url, token, save_path):\n",
    "    headers = {'Authorization': f'token {token}', 'Accept': 'application/octet-stream'}\n",
    "    # First request to handle GitHub's redirection and authentication properly\n",
    "    with requests.get(url, headers=headers, stream=True) as initial_response:\n",
    "        initial_response.raise_for_status()  # Ensure the initial request is successful\n",
    "        # Follow redirection if necessary, maintaining headers\n",
    "        if initial_response.history:\n",
    "            url = initial_response.url  # Updated URL after redirection\n",
    "\n",
    "        # Now, proceed with downloading the file\n",
    "        with requests.get(url, headers=headers, stream=True) as response:\n",
    "            response.raise_for_status()\n",
    "            total_size_in_bytes = int(response.headers.get('content-length', 0))\n",
    "            block_size = 1024\n",
    "            \n",
    "            progress_bar = tqdm(total=total_size_in_bytes, unit='iB', unit_scale=True)\n",
    "            with open(save_path, 'wb') as file:\n",
    "                for data in response.iter_content(block_size):\n",
    "                    progress_bar.update(len(data))\n",
    "                    file.write(data)\n",
    "            progress_bar.close()\n",
    "\n",
    "            if total_size_in_bytes != 0 and progress_bar.n != total_size_in_bytes:\n",
    "                print(\"ERROR, something went wrong\")\n",
    "            else:\n",
    "                print(f\"File downloaded successfully and saved as {save_path}\")\n",
    "\n",
    "# Your GitHub token\n",
    "github_token = token\n",
    "\n",
    "# Repository name\n",
    "repository_name = \"norandom/log2ml\"\n",
    "\n",
    "# File name to search for\n",
    "file_name = \"lab_logs_normal_activity_may_6_2024.json\"\n",
    "\n",
    "# Get the download URL of the specific file\n",
    "# download_url = get_specific_file_from_latest_release(github_token, repository_name, file_name)\n",
    "download_url = get_specific_file_from_tagged_release(github_token, repository_name, \"foundations\", file_name)\n",
    "print(download_url)\n",
    "\n",
    "if download_url:\n",
    "    local_file_path = \"lab_logs_normal_activity_may_11_2024.csv\"\n",
    "    download_file(download_url, github_token, local_file_path)\n",
    "else:\n",
    "    print(\"File not found.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "393703bd6e7a693f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-12T07:36:38.888903Z",
     "start_time": "2024-05-12T07:36:38.468176Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 lab_logs_normal_activity_may_11_2024.csv\r\n"
     ]
    }
   ],
   "source": [
    "!wc -l lab_logs_normal_activity_may_11_2024.csv"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b35fdc991ccea39",
   "metadata": {},
   "source": [
    "## Flattening"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a293810e0531690c",
   "metadata": {
    "ExecuteTime": {
     "start_time": "2024-05-11T15:26:15.019788Z"
    },
    "jupyter": {
     "is_executing": true
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import json\n",
    "\n",
    "# Process each line of the JSON file\n",
    "with open('lab_logs_normal_activity_may_11_2024.json', 'r') as file:\n",
    "    for line in file:\n",
    "        # Normalize the JSON object from the line\n",
    "        data = json.loads(line)\n",
    "        temp_df = pd.json_normalize(data)\n",
    "\n",
    "        # Append the DataFrame to a growing CSV file\n",
    "        temp_df.to_csv('lab_logs_normal_activity_may_11_2024_flat.csv', mode='a', header=False, index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "771af611ba60a456",
   "metadata": {
    "jupyter": {
     "is_executing": true
    }
   },
   "outputs": [],
   "source": [
    "flattened_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a4f782c59bb52c3f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save the DataFrame to a CSV file\n",
    "df.to_csv('lab_logs_normal_activity_may_6_2024.csv', index=False)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "803d4a7af2927bc8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-07T11:43:06.171446Z",
     "start_time": "2024-05-07T11:42:52.776821Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting pandas\r\n",
      "  Downloading pandas-2.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)\r\n",
      "Requirement already satisfied: numpy>=1.23.2 in /home/marius/miniconda3/envs/llm_langchain/lib/python3.11/site-packages (from pandas) (1.26.4)\r\n",
      "Requirement already satisfied: python-dateutil>=2.8.2 in /home/marius/miniconda3/envs/llm_langchain/lib/python3.11/site-packages (from pandas) (2.9.0)\r\n",
      "Requirement already satisfied: pytz>=2020.1 in /home/marius/miniconda3/envs/llm_langchain/lib/python3.11/site-packages (from pandas) (2024.1)\r\n",
      "Collecting tzdata>=2022.7 (from pandas)\r\n",
      "  Using cached tzdata-2024.1-py2.py3-none-any.whl.metadata (1.4 kB)\r\n",
      "Requirement already satisfied: six>=1.5 in /home/marius/miniconda3/envs/llm_langchain/lib/python3.11/site-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\r\n",
      "Downloading pandas-2.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.0 MB)\r\n",
      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m13.0/13.0 MB\u001b[0m \u001b[31m26.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m:00:01\u001b[0m00:01\u001b[0m\r\n",
      "\u001b[?25hUsing cached tzdata-2024.1-py2.py3-none-any.whl (345 kB)\r\n",
      "Installing collected packages: tzdata, pandas\r\n",
      "Successfully installed pandas-2.2.2 tzdata-2024.1\r\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4dda90a02f3fb809",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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    "name": "ipython",
    "version": 2
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   "file_extension": ".py",
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