{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "ec529532-5b5f-4f09-b925-6fab408978fe", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Defaulting to user installation because normal site-packages is not writeable\n", "Requirement already satisfied: aiofiles in /home/appuser/.local/lib/python3.11/site-packages (23.2.1)\n", "Requirement already satisfied: tqdm in /home/appuser/.local/lib/python3.11/site-packages (4.66.1)\n", "Collecting tenacity\n", " Obtaining dependency information for tenacity from https://files.pythonhosted.org/packages/f4/f1/990741d5bb2487d529d20a433210ffa136a367751e454214013b441c4575/tenacity-8.2.3-py3-none-any.whl.metadata\n", " Downloading tenacity-8.2.3-py3-none-any.whl.metadata (1.0 kB)\n", "Downloading tenacity-8.2.3-py3-none-any.whl (24 kB)\n", "Installing collected packages: tenacity\n", "Successfully installed tenacity-8.2.3\n", "\n", "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.2.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.3.1\u001b[0m\n", "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n" ] } ], "source": [ "!pip install aiofiles tqdm tenacity" ] }, { "cell_type": "code", "execution_count": 2, "id": "ddfc2d01-6c44-496c-a65b-9a9f44534a2e", "metadata": {}, "outputs": [], "source": [ "import asyncio\n", "import json\n", "import os\n", "import re\n", "\n", "import aiofiles\n", "import aiohttp\n", "import pandas as pd\n", "import requests\n", "import tqdm.asyncio\n", "import asyncio\n", "import aiohttp\n", "import json\n", "import os\n", "from tenacity import retry, stop_after_attempt, wait_exponential\n", "# import logging\n", "from tqdm.asyncio import tqdm_asyncio\n", "\n", "# Setup logging\n", "# logging.basicConfig(level=logging.INFO)\n", "# logger = logging.getLogger(__name__)\n", "\n", "from restgdf.utils.crawl import fetch_all_data\n", "from restgdf.utils.getinfo import service_metadata, get_metadata\n", "\n", "\n", "api_root = \"http://restgdf_api:8080\"\n", "ms_root = f\"{api_root}/mappingsupport\"\n", "ms_endpoints = {name: f\"{ms_root}/{name}\" for name in ('state', 'county', 'town')} | {\"root\": f\"{api_root}/mappingsupport\"}\n", "\n", "@retry(stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=4, max=10))\n", "def get_df() -> pd.DataFrame:\n", " resp = requests.get(ms_endpoints['root'])\n", " data = resp.json()\n", " return pd.DataFrame(data)\n", "\n", "\n", "def get_unique_roots(df: pd.DataFrame) -> pd.Series:\n", " pat = re.compile(r\"(?P^.*/rest/services?).*?$\", re.IGNORECASE)\n", " return (\n", " df\n", " .join(\n", " df['ArcGIS-url']\n", " .dropna()\n", " .str.strip()\n", " .str.extract(pat)\n", " ['root']\n", " .dropna()\n", " )\n", " ['root']\n", " .dropna()\n", " .drop_duplicates()\n", " .sort_values()\n", " )\n" ] }, { "cell_type": "code", "execution_count": 6, "id": "10fb3d81-86a8-44e2-a60f-e909a5836b1d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 97 µs, sys: 6.16 ms, total: 6.25 ms\n", "Wall time: 7.61 ms\n" ] } ], "source": [ "%%time\n", "\n", "# df = get_df()\n", "\n", "# unique_roots = get_unique_roots(df)" ] }, { "cell_type": "code", "execution_count": 7, "id": "3c66c7b0-f9a6-404e-a353-9457b5c47332", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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urlhash
0http://136.234.13.165/arcgis/rest/services8489457957960488436
1http://216.167.160.20/arcgis107/rest/services4291004727045614516
2http://ags.co.okaloosa.fl.us/arcgis/rest/services10213391155691883489
3http://arcgis.dcnr.nv.gov/arcgis/rest/services8177309747274201625
4http://arcgis2.williamsoncounty-tn.gov/arcgis/...1860738680214392857
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" ], "text/plain": [ " url hash\n", "0 http://136.234.13.165/arcgis/rest/services 8489457957960488436\n", "1 http://216.167.160.20/arcgis107/rest/services 4291004727045614516\n", "2 http://ags.co.okaloosa.fl.us/arcgis/rest/services 10213391155691883489\n", "3 http://arcgis.dcnr.nv.gov/arcgis/rest/services 8177309747274201625\n", "4 http://arcgis2.williamsoncounty-tn.gov/arcgis/... 1860738680214392857" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# unique_root_hashes = pd.util.hash_pandas_object(unique_roots)\n", "\n", "# unique_root_df = pd.DataFrame(zip(unique_roots, unique_root_hashes), columns=['url','hash'])\n", "\n", "unique_root_df = pd.read_csv('unique_roots.csv')\n", "\n", "unique_root_df.head()" ] }, { "cell_type": "code", "execution_count": 5, "id": "17917509-20e6-458c-8cfd-a0403ed73779", "metadata": {}, "outputs": [], "source": [ "# unique_root_df.to_csv('unique_roots.csv', index=False)" ] }, { "cell_type": "code", "execution_count": 8, "id": "9b3ef1af-4cbe-45cd-9986-1b45f8392099", "metadata": {}, "outputs": [], "source": [ "done_dict = {(r.url, r.hash): False for r in unique_root_df.itertuples(index=False)}" ] }, { "cell_type": "code", "execution_count": 9, "id": "2a70822d-e090-40af-b631-0b352e4a6a43", "metadata": {}, "outputs": [], "source": [ "async def scrape_to_files(url_hash_dict: dict[tuple, bool], output_directory: str) -> dict[tuple, bool]:\n", " done_dict = url_hash_dict\n", " async with aiohttp.ClientSession(connector=aiohttp.TCPConnector(ssl=False)) as session:\n", "\n", " @retry(stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=4, max=10))\n", " async def fetch_to_file(url: str, hash: int, semaphore) -> None:\n", " filepath = os.path.join(output_directory, f\"{hash}.json\")\n", " if os.path.exists(filepath):\n", " return None\n", " try:\n", " async with semaphore:\n", " data = await fetch_all_data(session, url, return_feature_count=False)\n", " if 'error' in data:\n", " data['error'] = str(data['error'])\n", " async with aiofiles.open(filepath, 'w') as outf:\n", " await outf.write(json.dumps(data))\n", " done_dict[(url, hash)] = True\n", " except Exception as e:\n", " done_dict[(url, hash)] = e\n", "\n", " semaphore = asyncio.Semaphore(10)\n", " tasks = [fetch_to_file(url, hash, semaphore) for url, hash in done_dict.keys()]\n", " results = await tqdm.asyncio.tqdm_asyncio.gather(*tasks)\n", " return done_dict\n" ] }, { "cell_type": "code", "execution_count": 10, "id": "bf720487-a42b-4c39-b6bd-f9ab2e01cd0b", "metadata": {}, "outputs": [], "source": [ "output_dir = os.path.abspath(\"output_tryagain\")\n", "\n", "if not os.path.exists(output_dir):\n", " os.mkdir(output_dir)" ] }, { "cell_type": "code", "execution_count": 11, "id": "ef74d321-6ef5-40d8-90b3-a990f32c1ea1", "metadata": {}, "outputs": [], "source": [ "import nest_asyncio\n", "\n", "nest_asyncio.apply()" ] }, { "cell_type": "code", "execution_count": 12, "id": "b1859b15-3d0d-4ef7-8ecd-6c57c6e3b600", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ " 86%|████████▌ | 1753/2038 [1:54:37<21:53, 4.61s/it] Can not load response cookies: Illegal key 'Domain=.sherburne.mn.us,AGS_ROLES'\n", "100%|██████████| 2038/2038 [2:16:40<00:00, 4.02s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 1h 15min 46s, sys: 2min 35s, total: 1h 18min 22s\n", "Wall time: 2h 16min 40s\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "%%time\n", "\n", "results = asyncio.run(scrape_to_files(done_dict, output_dir))" ] } ], "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": "3.11.6" } }, "nbformat": 4, "nbformat_minor": 5 }