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Author SHA1 Message Date
dozens c3e42563c6 📚 2023-03-05 09:59:48 -07:00
dozens 8a59c47485 📚 2022-10-29 10:24:57 -06:00
dozens 12fa2770d5 📚 2022-08-07 13:05:43 -06:00
dozens 2dc0d374cd 📚 2022-03-31 09:24:47 -06:00
Christopher P. Brown 23d6d84d43 📚
- export catalog
- add books.rec
- switch from makefile to justfile
2022-01-07 12:51:53 -07:00
Christopher P. Brown 44bf8fabbd 📚 2021-08-14 10:43:44 -06:00
Christopher P. Brown 70fb11b3a1 📚 2021-07-30 17:47:53 -06:00
Christopher P. Brown a10152ff67 📝 2021-05-09 11:16:24 -06:00
Christopher P. Brown 9238b1816d 📚 2021-05-09 11:09:52 -06:00
Christopher P. Brown a04db2f312 add makefile 2021-04-17 11:02:34 -06:00
Christopher P. Brown dbceefe37c add xml feed 2021-04-17 11:01:19 -06:00
dozens 53d8718ee9 Merge pull request 'Add an RSS feed' (#1) from lucidiot/books:rss into main
Reviewed-on: http://git.tilde.town/dozens/books/pulls/1
2021-04-17 16:58:06 +00:00
7 changed files with 37025 additions and 250 deletions

2
Makefile 100644
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@ -0,0 +1,2 @@
default: books.csv genfeed.py
./genfeed.py < books.csv > feed.xml

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@ -4,9 +4,17 @@ This is a catalog of all the books in my calibre library!
If you see a title here you would like to borrow, let me know! I'd be happy to share :)
## How To
## How To (For me)
If you're going to explore this dataset, I recommend using the awesome csvkit.
- go to calibre and "convert books" -> "create a catalog...."
- save it to the dir
- `j all`
## How To (For you)
If you want to browse the collection, I would look at `books.rec`.
If you're going to really explore this dataset, I recommend using the awesome csvkit.
=> <https://csvkit.readthedocs.io/en/latest/index.html>
@ -17,15 +25,20 @@ It will allow you to do stuff like:
- look at some stats: `csvcut -c languages,size,formats books.csv | csvstat`
- 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`
- `csvjson books.csv | jq | whatever`
- show the most recently added books: `csvcut -c 13,1,3 books.csv | csvsort -c timestamp -r | head -n 20`
- 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>
## RSS feed
An RSS feed has been kindly provided by [the Rsszard of Syndication](https://tilde.town/~lucidiot)
and is available at https://AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA.
and is available at https://git.tilde.town/dozens/books/raw/branch/main/feed.xml
Generating the feed requires you to have Python 3.7 or later installed, as well
as the [xmltodict](https://pypi.org/project/xmltodict) package:
`pip3 install xmltodict`.
To generate the feed, run `./geenfeed.py <books.csv >lefeed.xml`.
## TODO
- type definitions for Book

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books.csv

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books.rec 100644

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feed.xml 100644

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@ -64,8 +64,7 @@ def main():
"atom:link": {
"@rel": "self",
"@type": "application/rss+xml",
# TODO: set the correct public URL of your feed!
"@href": "http://fuck",
"@href": "https://git.tilde.town/dozens/books/raw/branch/main/feed.xml",
},
"language": "en-US",
"pubDate": datetime.now(timezone.utc)

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justfile 100644
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# show all commands
default:
just --list
# generate rss
rss:
./genfeed.py < books.csv > feed.xml
# make rec
rec:
csvformat books.csv | csv2rec > books.rec
# do the damn thing
all: rec rss