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Commit f04ce4d8 authored by Maciej Wielgosz's avatar Maciej Wielgosz
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run wrapper for oracle

parent 164d5bfb
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# This is the the file to be run on the oracle cloud
import oci
import argparse
import os
import io
import sys
import json
import shutil
import yaml
from pathlib import Path
from oci.config import validate_config
from oci.object_storage import ObjectStorageClient
def run_oracle_wrapper(path_to_config_file):
# read the config file with the credentials with json format
with open('login_oracle_config.json') as f:
config = json.load(f)
# validate the config file
validate_config(config)
# create the client
client = ObjectStorageClient(config)
# get the namespace
namespace = client.get_namespace().data
# get the bucket name
bucket_name = 'bucket_lidar_data'
# get the object name
object_name = './geoslam/plot72_tile_-25_-25.las'
# get the object
file = client.get_object(namespace, bucket_name, object_name)
# write the object to a file
with open('plot_from_bucket.las', 'wb') as f:
for chunk in file.data.raw.stream(1024 * 1024, decode_content=False):
f.write(chunk)
# read the config file from config folder
with open(path_to_config_file) as f:
config_flow_params = yaml.load(f, Loader=yaml.FullLoader)
# create the input folder if it does not exist
if not os.path.exists(config_flow_params['general']['input_folder']):
os.mkdir(config_flow_params['general']['input_folder'])
# move the file to the input folder using shutil if it does not exist
if not os.path.exists(config_flow_params['general']['input_folder'] + '/plot_from_bucket.las'):
shutil.move('plot_from_bucket.las', config_flow_params['general']['input_folder'])
from run import main
# run the main function
main(path_to_config_file)
if __name__ == '__main__':
# use argparse to get the path to the config file
parser = argparse.ArgumentParser()
parser.add_argument("--path_to_config_file", type=str, default="./config/config.yaml")
args = parser.parse_args()
# run the main function
run_oracle_wrapper(args.path_to_config_file)
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