willjobs

#### Rename all images in current directory according to the CreateDate date and time, adding a copy number with leading '-' if the file already exists (%-c), and preserving the original file extension (%e). 
# Note the extra '%' necessary to escape the filename codes (%c and %e) in the date format string.
exiftool '-FileName<CreateDate' -d '%Y%m%d %H%M%S%%-c.%%e' .

#### Shift values of CreateDate by 2 years, 9 months and 14 days. 0 hours, minutes and seconds
exiftool "-CreateDate+=2:9:14 0:0:0" -m .

#### View all time info about a given file:
## System:
# FileModifyDate

willjobs

docket_ids = downloader.get_ids_from_csv("EPA_water_dockets.csv", data_type="dockets")

for docket_id in my_dockets:
    print(f"\n********************************\nSTARTING {docket_id}\n********************************")
    downloader.gather_comments_by_docket(docket_id, csv_filename="EPA_water_comments.csv")

willjobs

# get the comment headers for these criteria
params = {"filter[lastModifiedDate][ge]": "2017-01-01 00:00:00",  # API for dockets doesn't have postedDate filter 
            "filter[lastModifiedDate][le]": "2020-12-31 23:59:59",  # also, these times are in Eastern time zone
            "filter[agencyId]": "EPA",
            "filter[searchTerm]": "water"}

# this will download the headers 250 dockets at a time, and save the headers into a CSV
# (you could also save them into a SQLite database)
downloader.gather_headers("dockets", params, csv_filename="EPA_water_dockets.csv")

willjobs

# download the comments
comment_ids = downloader.get_ids_from_csv("EPA_water_comments_header.csv", data_type="comments")
downloader.gather_details("comments", comment_ids, csv_filename="EPA_water_comments.csv")

willjobs

for object_id in object_ids: # taken from EPA_water_documents.csv
    params = {"filter[commentOnId]": object_id}
    downloader.gather_headers("comments", params, csv_filename="EPA_water_comments_header.csv")

willjobs

for docket_id in docket_ids:
    params = {"filter[docketId]": docket_id}
    downloader.gather_headers("documents", params, csv_filename="EPA_water_documents.csv")

willjobs

my_dockets = ["FDA-2009-N-0501", "EERE-2019-BT-STD-0036", "NHTSA-2019-0121"]

for docket_id in my_dockets:
    print(f"\n********************************\nSTARTING {docket_id}\n********************************")
    downloader.gather_comments_by_docket(docket_id, db_filename="my_database2.db")

print("\nDONE")

willjobs

downloader.gather_comments_by_docket("FDA-2021-N-0270", db_filename="my_database.db", csv_filename="my_csv.csv")

willjobs

from comments_downloader import CommentsDownloader:
    downloader = CommentsDownloader(api_key="DEMO_KEY")

willjobs

##############################
# Script to autorotate all images in a directory based on EXIF data.
# Background: iOS devices have a bad habit of saving images with a rotation stored in the 
#     EXIF data, which is ignored by other applications, resulting in these images
#     looking rotated 90 degrees or 270 degrees in many apps. This fixes that.
## CAREFUL - this removes the EXIF information like date taken
##############################
from PIL import Image, ExifTags
import glob
import os.path