edit_videos.py

import os, json, csv, glob

from datetime import datetime
from datacite import DataCiteMDSClient, schema40
from caltechdata_api import caltechdata_edit, get_metadata

filename = "dois.csv"

# Get access token from TIND sed as environment variable with source token.bash
token = os.environ["TINDTOK"]

production = True
today = datetime.today().date().isoformat()

with open(filename, encoding="utf-8-sig") as csvfile:
    filename_to_id = {}
    reader = csv.DictReader(csvfile)
    for row in reader:
        doi = row["DOI"]
        idv = doi.split("D1.")[1]
        fname = row["movie"]
        fpath = "cellatlas-videos/" + fname
        metadata = get_metadata(idv, validate=False)
        for date in metadata["dates"]:
            if date["dateType"] == "Updated":
                date["date"] = today
        new_descr = []
        for description in metadata["descriptions"]:
            if description["descriptionType"] == "SeriesInformation":
                description[
                    "description"
                ] = "Atlas of Bacterial and Archaeal Cell Structure"
            if not description["description"].startswith("<br>Cite this record as:"):
                new_descr.append(description)
        metadata["descriptions"] = new_descr
        new_id = []
        for identifier in metadata["relatedIdentifiers"]:
            if identifier["relatedIdentifier"] != None:
                new_id.append(identifier)
        metadata["relatedIdentifiers"] = new_id
        response = caltechdata_edit(token, idv, metadata, {fpath}, {"mp4"}, production)
        print(response)