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from glob import glob
import os
from os.path import join
from pathlib import Path
import click
from app.settings import types
from app.utils import click_utils
from app.settings import app_cfg as cfg
from app.utils import logger_utils
import dlib
import pandas as pd
from PIL import Image, ImageOps, ImageFilter
from app.utils import file_utils, im_utils
log = logger_utils.Logger.getLogger()
@click.command()
@click.option('-i', '--input', 'opt_fp_in', required=True,
help='Input directory')
@click.option('-o', '--output', 'opt_fp_out',
help='Output directory')
@click.option('--slice', 'opt_slice', type=(int, int), default=(None, None),
help='Slice list of files')
@click.option('-d', '--delay', 'opt_delay', default=None, type=int,
help='Delay between API calls to prevent rate-limiting')
@click.option('--checkpoints', 'opt_checkpoints', is_flag=True,
help='Save checkpoints')
@click.option('--api_key', 'opt_api_key', envvar='FLICKR_API_KEY')
@click.option('--api_secret', 'opt_api_secret', envvar='FLICKR_API_SECRET')
@click.option('--checkpoint_interval', 'opt_ckpt_interval', default=10000,
help='Save checkpoint interval')
@click.pass_context
def cli(ctx, opt_fp_in, opt_fp_out, opt_slice, opt_api_key, opt_api_secret,
opt_delay, opt_checkpoints, opt_ckpt_interval):
"""Appends Flickr API info to CSV"""
from tqdm import tqdm
from glob import glob
import time
import flickr_api # pip install flickr_api
from flickr_api.flickrerrors import FlickrAPIError
# -------------------------------------------------
# process
if not opt_api_key or not opt_api_secret:
log.error('source .env vars for Flickr API and try again')
return
# init Flickr API
flickr_api.set_keys(api_key=opt_api_key, api_secret=opt_api_secret)
# reqd in CSV
df_ids = pd.read_csv(opt_fp_in)
if opt_slice:
df_ids = df_ids[opt_slice[0]:opt_slice[1]]
log.info('Processing: {:,} items'.format(len(df_ids)))
# iterate MegaFace IDs
identities = []
tqdm.pandas()
for idx, df_id in tqdm(df_ids.iterrows(), total=len(df_ids)):
# a = flickr_api.Person(id='123456789@N01')
df_id_dict = dict(df_id)
# append relevant data
try:
person = flickr_api.Person(id=df_id['nsid'])
info = person.getInfo()
df_id_dict.update( {
'user_name': info.get('username', ''),
'location': info.get('location', ''),
'real_name': info.get('realname', ''),
'time_zone': info.get('timezone', {}).get('timezone_id', ''),
'time_first_photo': info.get('photos_info', {}).get('firstdatetaken'),
'photos_count': info.get('photos_info', {}).get('count'),
'description': info.get('description', ''),
'id': info.get('id'),
'path_alias': info.get('path_alias', ''),
'is_pro': info.get('ispro', ''),
'url_photos': info.get('photosurl', ''),
'url_profile': info.get('photosurl', ''),
'url_mobile': info.get('mobileurl', ''),
})
identities.append(df_id_dict)
except FlickrAPIError as e:
log.error(e)
if opt_checkpoints:
if (idx + 1) % opt_ckpt_interval == 0:
df = pd.DataFrame.from_dict(identities)
fpp_out = Path(opt_fp_out)
opt_fp_out_ckpt = join(fpp_out.parent, '{}_ckpt_{}.csv'.format(fpp_out.stem, file_utils.zpad(idx + 1)))
log.info('Saving checkpoint {:,} to {}'.format(idx + 1, opt_fp_out_ckpt))
df.to_csv(opt_fp_out_ckpt, index=False)
if opt_delay:
time.sleep(opt_delay)
df = pd.DataFrame.from_dict(identities)
df.to_csv(opt_fp_out, index=False)
log.info('Wrote: {:,} lines to {}'.format(len(df), opt_fp_out))
"""
Example API data:
{'id': '7124086@N07',
'nsid': '7124086@N07',
'ispro': 1,
'can_buy_pro': 0,
'iconserver': '2325',
'iconfarm': 3,
'path_alias': 'shirleylin',
'has_stats': '1',
'pro_badge': 'standard',
'expire': '0',
'username': 'ShirleyLin',
'realname': 'Shirley Lin',
'location': 'Fremont, California, US',
'timezone': {'label': 'Pacific Time (US & Canada); Tijuana',
'offset': '-08:00',
'timezone_id': 'PST8PDT'},
'description': '',
'photosurl': 'https://www.flickr.com/photos/shirleylin/',
'profileurl': 'https://www.flickr.com/people/shirleylin/',
'mobileurl': 'https://m.flickr.com/photostream.gne?id=7102756',
'photos_info': {'firstdatetaken': '2004-05-24 12:12:15',
'firstdate': '1172556588',
'count': 9665}}
"""
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