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Adding vanilla Py as an option to download assets #343

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Adding vanilla Py as an option to download assets #343

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105 changes: 105 additions & 0 deletions jupyter-notebooks/workflows/analysis-ready-data/ard_1_intro_and_best_practices.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -121,6 +121,9 @@
"from pathlib import Path\n",
"from pprint import pprint\n",
"from zipfile import ZipFile\n",
"import requests\n",
"import time\n",
"import logging\n",
"\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
Expand Down Expand Up @@ -675,6 +678,13 @@
"order_id = order[\"id\"]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### Option 1: Using Planet CLI"
]
},
{
"cell_type": "code",
"execution_count": 22,
Expand All @@ -696,6 +706,58 @@
"!planet orders wait $order_id"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### Option 2: Using Vanila Python\n",
"Please be aware that this script is programmed to regularly check the endpoint and will cease operation only upon the appearance of a download link. It lacks a timeout function, meaning that the loop is configured to run indefinitely."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"\n",
"logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')\n",
"\n",
"def check_download_link(url, api_key, minutes=0.5):\n",
" \"\"\" \n",
" Check if the download link is ready.\n",
" \n",
" Args:\n",
" url (str): api url.\n",
" api_key (str): api key.\n",
" minutes (float): time to wait before checking again. default is 30 seconds(0.5).\n",
"\n",
" Returns:\n",
" none\n",
" \n",
" \"\"\"\n",
" while True:\n",
" try:\n",
" response = requests.get(url, auth=requests.auth.HTTPBasicAuth(api_key, ''))\n",
" response.raise_for_status()\n",
" if \"results\" in response.json().get(\"_links\", {}):\n",
" return logging.info(f\"{date.datetime.now()}: Download link is ready.\")\n",
" logging.info(f\"{date.datetime.now()}: Waiting for download link to be ready...\")\n",
" except requests.RequestException as e:\n",
" return logging.error(f\"An error occurred: {e}\")\n",
" time.sleep(minutes * 60)\n",
"\n",
"\n",
"check_download_link(order['_links']['_self'], API_KEY, minutes=5)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### Option 1: Using Planet CLI"
]
},
{
"cell_type": "code",
"execution_count": 23,
Expand Down Expand Up @@ -723,6 +785,49 @@
"!planet orders download $order_id --directory $demo_data_dir"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### Option 2: Using Vanila Python\n",
"Please be aware that this script is programmed to regularly check the endpoint and will cease operation only upon the appearance of a download link. It lacks a timeout function, meaning that the loop is configured to run indefinitely."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Get the path to the Downloads folder\n",
"downloads_folder = os.path.join(os.path.expanduser('~'), 'Downloads/') # just a generic path, you can adjust it\n",
"file_path = os.path.join(downloads_folder)\n",
"\n",
"def download_order(url, api_key):\n",
" \"\"\" download ordered files \"\"\"\n",
" try:\n",
" response = requests.get(url, auth=requests.auth.HTTPBasicAuth(api_key, ''))\n",
" response.raise_for_status()\n",
" \n",
" results = response.json()[\"_links\"][\"results\"]\n",
" for item in results: \n",
" res = requests.get(item[\"location\"], stream=True)\n",
" name = item[\"name\"].split(\"/\")[-1]\n",
"\n",
" print(\"Downloading '{name}' just started...\")\n",
" with open(file_path + name, 'wb') as f:\n",
" for chunk in res.iter_content(chunk_size=1048576): # 1MB (1024 * 1024)\n",
" # Write the data to the file in chunks\n",
" f.write(chunk) \n",
" print(f\"File '{name}' downloaded and saved at '{file_path}'\")\n",
" \n",
" except requests.RequestException as e:\n",
" return logging.error(f\"An error occurred: {e}\")\n",
"\n",
"\n",
"download_order(order['_links']['_self'], API_KEY)"
]
},
{
"attachments": {},
"cell_type": "markdown",
Expand Down