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

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

#### 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