conccurency on get_image_data
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parent
e9af1c34f2
commit
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41
download.py
41
download.py
@ -4,6 +4,7 @@ from requests.adapters import Retry
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import json
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import os
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import asyncio
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import concurrent.futures
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import argparse
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from datetime import datetime
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import writer
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@ -32,12 +33,11 @@ def background(f):
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return asyncio.get_event_loop().run_in_executor(None, f, *args, **kwargs)
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return wrapped
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#TODO add try/except and retry (see https://www.zenrows.com/blog/python-requests-retry#avoid-getting-blocked)
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@background
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def download(url, fn, metadata=None):
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#@background
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def download(url, filepath, metadata=None):
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r = session.get(url, stream=True, timeout=6)
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image = write_exif(r.content, metadata)
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with open(str(fn), "wb") as f:
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with open(str(filepath), "wb") as f:
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f.write(image)
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def get_single_image_data(image_id, mly_header):
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@ -62,6 +62,31 @@ def get_image_data_from_sequences(sequences_id, mly_header):
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image_data['sequence_id'] = sequence_id
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yield image_data
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def get_image_data_from_sequences__future(sequences_id, mly_header):
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for i,sequence_id in enumerate(sequences_id):
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url = 'https://graph.mapillary.com/image_ids?sequence_id={}'.format(sequence_id)
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r = requests.get(url, headers=header)
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data = r.json()
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image_ids = data['data']
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total_image = len(image_ids)
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print("{} images in sequence {} of {} - id : {}".format(total_image, i+1, len(sequences_id), sequence_id))
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print('getting images data')
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with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
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future_to_url = {}
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for x in range(0, total_image):
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image_id = image_ids[x]['id']
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future_to_url[executor.submit(get_single_image_data, image_id, mly_header)] = image_id
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for future in concurrent.futures.as_completed(future_to_url):
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url = future_to_url[future]
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image_data = future.result()
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image_data['sequence_id'] = sequence_id
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#print(image_data)
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yield image_data
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#image_data = get_single_image_data(image_id, mly_header)
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#image_data['sequence_id'] = sequence_id
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#yield image_data
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def write_exif(picture, img_metadata):
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'''
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Write exif metadata
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@ -95,10 +120,12 @@ if __name__ == '__main__':
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if not os.path.exists('data'):
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os.makedirs('data')
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for i,image_data in enumerate(get_image_data_from_sequences(sequence_ids, header)):
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#for i,image_data in enumerate(get_image_data_from_sequences(sequence_ids, header)):
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for i,image_data in enumerate(get_image_data_from_sequences__future(sequence_ids, header)):
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if args.image_limit is not None and i >= args.image_limit:
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break
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images_data.append(image_data)
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#sys.exit()
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print('downloading.. this process will take a while. please wait')
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for i,image_data in enumerate(images_data):
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@ -116,4 +143,6 @@ if __name__ == '__main__':
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direction = image_data['compass_angle'],
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altitude = image_data['altitude'],
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)
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download(image_data['thumb_original_url'],path, img_metadata)
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with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
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executor.submit(download, url=image_data['thumb_original_url'], filepath=path, metadata=img_metadata)
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#download(image_data['thumb_original_url'],path, img_metadata)
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