frontmatter-to-csv/frontmatter_to_csv/convert.py

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2022-03-01 10:07:59 +00:00
"""
Convert YAML front matter to CSV
"""
from queue import Empty
from typing import Dict
from durations import Duration
import os
import frontmatter
import csv
filtered = dict()
fields = {
"name": "Name",
"playtime": "Playtime",
"platform": "Platform",
"infinite": "Infinite",
"finished": "Finished",
"refunded": "Refunded",
"dropped": "Dropped",
"date-released": "DateReleased",
"date-purchased": "DatePurchased",
"date-started": "DateStarted",
"date-finished": "DateFinished",
}
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def convert(directory="f", outputfile="test.csv"):
if not os.path.isdir(directory):
exit(f"The directory {directory} does not exist!")
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with open(outputfile, "w", newline="") as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=fields.values())
writer.writeheader()
for filename in os.listdir(directory):
f = os.path.join(directory, filename)
if os.path.isfile(f):
article = frontmatter.load(f)
for field in fields:
if field not in article.metadata.keys():
newvalue = ""
else:
newvalue = article.metadata[field]
if field == "playtime" and newvalue != 0 and newvalue is not None:
if type(newvalue) is dict:
totalvalue = 0
for key in newvalue:
timevalue = Duration(newvalue[key]).to_hours()
totalvalue += timevalue
newvalue = totalvalue
else:
timevalue = Duration(newvalue)
newvalue = timevalue.to_hours()
if type(newvalue) is list:
print(
f"Field '{field}' for file '{filename}' is a list, joining with commas."
)
newvalue = ",".join(newvalue)
filtered[fields[field]] = newvalue
writer.writerow(filtered)
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if __name__ == "__main__":
convert()