File size: 9,533 Bytes
795da8d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 |
{
"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",
"\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"
]
},
{
"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",
"\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",
"\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<root>^.*/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": 3,
"id": "10fb3d81-86a8-44e2-a60f-e909a5836b1d",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 34.2 ms, sys: 3.42 ms, total: 37.6 ms\n",
"Wall time: 241 ms\n"
]
}
],
"source": [
"%%time\n",
"\n",
"df = get_df()\n",
"\n",
"unique_roots = get_unique_roots(df)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "3c66c7b0-f9a6-404e-a353-9457b5c47332",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>url</th>\n",
" <th>hash</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>http://136.234.13.165/arcgis/rest/services</td>\n",
" <td>8489457957960488436</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>http://216.167.160.20/arcgis107/rest/services</td>\n",
" <td>4291004727045614516</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>http://ags.co.okaloosa.fl.us/arcgis/rest/services</td>\n",
" <td>10213391155691883489</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>http://arcgis.dcnr.nv.gov/arcgis/rest/services</td>\n",
" <td>8177309747274201625</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>http://arcgis2.williamsoncounty-tn.gov/arcgis/...</td>\n",
" <td>1860738680214392857</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"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": 4,
"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.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": 6,
"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": 7,
"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",
" async def fetch_to_file(url: str, hash: int) -> None:\n",
" filepath = os.path.join(output_directory, f\"{hash}.json\")\n",
" if os.path.exists(filepath):\n",
" return None\n",
" try:\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",
" tasks = [fetch_to_file(url, hash) 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": 8,
"id": "bf720487-a42b-4c39-b6bd-f9ab2e01cd0b",
"metadata": {},
"outputs": [],
"source": [
"output_dir = os.path.abspath(\"output\")\n",
"\n",
"if not os.path.exists(output_dir):\n",
" os.mkdir(output_dir)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "ef74d321-6ef5-40d8-90b3-a990f32c1ea1",
"metadata": {},
"outputs": [],
"source": [
"import nest_asyncio\n",
"\n",
"nest_asyncio.apply()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "b1859b15-3d0d-4ef7-8ecd-6c57c6e3b600",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
" 2%|▏ | 39/2038 [00:06<02:55, 11.41it/s] Can not load response cookies: Illegal key 'Domain=.sherburne.mn.us,AGS_ROLES'\n",
"100%|██████████| 2038/2038 [24:38<00:00, 1.38it/s] "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 21min 43s, sys: 35.1 s, total: 22min 18s\n",
"Wall time: 24min 38s\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
}
|