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Author | SHA1 | Date |
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Dozens B. McCuzzins | 53d8718ee9 | |
Lucidiot | 2dcb679567 | |
Lucidiot | b00b383411 |
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README.md
11
README.md
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@ -18,3 +18,14 @@ It will allow you to do stuff like:
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- find the largest pdfs in the collection: `csvcut -c title_sort,formats,size books.csv | csvgrep -c formats -m pdf | csvsort -c size -r | head`
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- find the largest pdfs in the collection: `csvcut -c title_sort,formats,size books.csv | csvgrep -c formats -m pdf | csvsort -c size -r | head`
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- `csvjson books.csv | jq | whatever`
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- `csvjson books.csv | jq | whatever`
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- You can also perform actual SQL queries on it, and convert the data between csv and sqlite database: <https://csvkit.readthedocs.io/en/latest/tutorial/3_power_tools.html>
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- You can also perform actual SQL queries on it, and convert the data between csv and sqlite database: <https://csvkit.readthedocs.io/en/latest/tutorial/3_power_tools.html>
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## RSS feed
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An RSS feed has been kindly provided by [the Rsszard of Syndication](https://tilde.town/~lucidiot)
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and is available at https://AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA.
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Generating the feed requires you to have Python 3.7 or later installed, as well
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as the [xmltodict](https://pypi.org/project/xmltodict) package:
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`pip3 install xmltodict`.
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To generate the feed, run `./geenfeed.py <books.csv >lefeed.xml`.
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@ -0,0 +1,89 @@
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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from datetime import datetime, timezone
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from typing import Mapping, MutableMapping
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import csv
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import sys
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import xmltodict
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RSS_DATE_FORMAT = '%a, %d %b %Y %T %z'
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ISO_DATE_FORMAT = '%Y-%m-%dT%H:%M:%S%z'
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def parse_book(book: MutableMapping[str, str]) -> Mapping:
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item = {
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"title": book["title_sort"],
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"pubDate": datetime.strptime(book.pop("timestamp"), ISO_DATE_FORMAT)
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.strftime(RSS_DATE_FORMAT),
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"guid": {
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"@isPermaLink": "false",
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"#text": book.pop("uuid"),
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},
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"description": book.pop("comments"),
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# The CSV's first character is a non-breaking space for some reason,
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# which breaks the author column
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"author": book.get("author_sort") or book["\ufeffauthor_sort"],
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}
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# Prepend metadata to the item description
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item["description"] = "<dl>{}</dl>{}".format(
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"".join(
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"<dt>{}</dt><dd>{}</dd>".format(
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key.replace('_sort', '').replace('_', ' ').replace('\ufeff', '').capitalize(),
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value,
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)
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for key, value in book.items()
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# Ignore empty columns
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if value
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),
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item['description']
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)
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if book.get("tags"):
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item["category"] = [
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{
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"@domain": "https://git.tilde.town/dozens/books",
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"#text": tag
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}
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for tag in book["tags"].split(", ")
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]
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return item
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def main():
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sys.stdout.write(xmltodict.unparse({
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"rss": {
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"@version": "2.0",
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"@xmlns:atom": "http://www.w3.org/2005/Atom",
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"@xmlns:sy": "http://purl.org/rss/1.0/modules/syndication/",
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"channel": {
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"title": "dozens books",
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"description": "the cool calibre library of dozens",
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"link": "https://git.tilde.town/dozens/books",
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"atom:link": {
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"@rel": "self",
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"@type": "application/rss+xml",
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# TODO: set the correct public URL of your feed!
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"@href": "http://fuck",
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},
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"language": "en-US",
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"pubDate": datetime.now(timezone.utc)
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.strftime(RSS_DATE_FORMAT),
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"docs": "https://www.rssboard.org/rss-specification",
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"webMaster": "dozens@tilde.town (~dozens)",
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"generator": "Python " + ".".join(map(str, sys.version_info[:3])),
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# Update on the first of every month, at midnight UTC
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"sy:updatePeriod": "monthly",
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"sy:updateFrequency": "1",
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"sy:updateBase": "1971-01-01T00:00+00:00",
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# One month, roughly, for clients that do not support mod_syndication
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"ttl": 60 * 24 * 30,
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"item": list(map(parse_book, csv.DictReader(sys.stdin))),
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}
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}
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}, pretty=True, short_empty_elements=True))
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if __name__ == '__main__':
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main()
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@ -0,0 +1 @@
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xmltodict>=0.12
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