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Author SHA1 Message Date
ktyl 570cefafbb feat(journal): include specific journal paths
continuous-integration/drone/push Build is failing Details
2023-12-06 22:49:51 +00:00
ktyl 36af38e908 feat(journal): add submodule 2023-12-06 22:49:47 +00:00
ktyl e4b7d7af2b build: fix clean rule
continuous-integration/drone/push Build is failing Details
2023-12-06 22:44:57 +00:00
ktyl 60998ee701 build: update make target 2023-12-06 22:44:57 +00:00
ktyl 09b24d782f feat(garden): generate html files 2023-12-06 22:44:57 +00:00
ktyl b68fe4264a feat(books): start collection 2023-12-06 22:44:57 +00:00
ktyl bb7f7fa1d4 feat(rss): generate unformatted file titles 2023-12-06 22:44:57 +00:00
8 changed files with 266 additions and 6 deletions

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@ -67,7 +67,7 @@ blog: $(HTML_INCLUDES) $(CSS_TARGETS)
done done
garden: garden:
make --directory $(GARDEN_BASE_DIR) html make --directory $(GARDEN_BASE_DIR) site
clean: clean:
make --directory $(GARDEN_BASE_DIR) clean make --directory $(GARDEN_BASE_DIR) clean

1
src/garden/.gitignore vendored Normal file
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*.html

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@ -1,10 +1,14 @@
html: feed.py Makefile py = feed.py books.py
md = rss.md book-collecting.md gardens.md
html = $(md:%.md=%.html)
site: Makefile $(md) $(py)
mkdir html mkdir html
cp feed.py Makefile html python md2html.py $(md)
cp *.md html cp $(html) $(py) Makefile html
clean-html: clean-html:
[[ -d html ]] && rm -r html rm -r html
.PHONY: clean-html .PHONY: clean-html

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how do you define a book collection?
my book collection is the set of all books.
i prefer physical books to e-readers.
unfortunately i have quite a few these days.
i want to read them all eventually!
i also tend to live in quite small places
and i want to be able to move city easily!
so here's my system for organising my physical book collection.
i want to:
* read books i already have
* read as many different books as possible
* minimise physical storage requirements
* keep track of books i've read
* gather books i don't already have
constraints
* i don't know for sure what book i will want to read next
for every book in the world
* i either have or have not read it
* i have access to it or i don't
so i sort my book collection with 4 categories
*-------------------*-----------------------*
| | |
| unread | read |
| have | have |
| | |
| 37º2 le matin | L'Homme des Jeux |
| | |
*-------------------*-----------------------*
| | |
| unread | read |
| haven't | haven't |
| | |
| Das Kapital | Frankisstein |
| | |
*-------------------*-----------------------*
i can then begin to optimise my collection.
* i do not have this book, and i have read it.
* i have this book, but i have not read it.
* i have this book, and i have read it.
* i do not have this book, but i have not read it.
the books i am most interested in having nearby are unread ones, as i would like to read as many different books as possible.
books i have already read i don't need nearby anymore.
i might pass it on, or store it somewhere with less of a premium on space.
i could also attempt to track where it is!
based on my requirements and my categories, i create four lists for the books
* ready
* all done
* read and gone
* hunted
that looks like a decent start to the system, so i suppose now i'll start collecting!
so i'll use markdown lists in the format
```
* [x] author - title # reading
* [ ] author - title # nearby
```
when collecting music i use artist - year - name
however, publication year is an extra step that will slow data entry, so won't use this to start with - i have a lot of books
i realised i had a gpt-4 sub and that it could look at pictures now so i gave it a go
i fed it some photos and some formatting preferences and i got out perfect markdown lists
```
- [ ] Doctorow, Cory - Walkaway
- [ ] Ferreira, Pedro G. - The Perfect Theory
- [ ] Hadfield, Chris - An Astronaut's Guide to Life on Earth
- [ ] Heinlein, Robert A. - Beyond This Horizon
```
books are lovely are great to look at, but the mishmash of fonts and presentation are a nightmare for indexing.
now we have some good and lovely metadata :)
this is an imperfect method, as the only way i can check it is still by combing through the physical books manually
but it does let me target my combing after identifying problems in the index
and in the meantime gives us a bunch of data to play with
markdown lists also allow me to mark some items in a list
this is looks flexible, so i think in my 'ready' list i will mark which book(s) i am currently reading
```
- [ ] Doctorow, Cory - Walkaway
- [ ] Ferreira, Pedro G. - The Perfect Theory
- [ ] Hadfield, Chris - An Astronaut's Guide to Life on Earth
- [ ] Heinlein, Robert A. - Beyond This Horizon
```
the other lists i will leave unmarked for now, until i think of something to do with them.
as for doing things with them, i wrote a [python script](#) which processes the data in the now-populated all-done and ready lists to yield some interesting (?) and fun (?) results?
[example output](#)

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src/garden/books.py Normal file
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import sys
import os
import re
def print_usage():
print(f"usage: python {sys.argv[0]} DIR")
print(f"")
print(f"\tDIR\tdirectory containing markdown lists in files.")
if len(sys.argv) != 2:
print_usage()
exit(1)
base_path = os.path.abspath(sys.argv[1])
ready_list_name = "ready.md"
done_list_name = "all-done.md"
def get_path(list_name : str) -> str:
return os.path.join(base_path, list_name)
def get_matches(list_name : str) -> list[re.Match]:
# Matches a markdown list item
entry_pattern = re.compile(r"^[*-] \[([ *x])\] (.+) - (.+)")
matches = []
with open(get_path(list_name)) as f:
matches = [entry_pattern.match(l) for l in f.readlines()]
return [m for m in matches if m is not None]
class Book:
def __init__(self, match : re.Pattern):
self.mark = match.group(1) != " "
self.author = match.group(2)
self.title = match.group(3)
def is_metadata_complete(self):
if not self.title or not self.author:
return False
if self.title == "???" or self.author == "???":
return False
return True
@staticmethod
def get_list(list_name : str, filter_partial_metadata = True) -> []:
books = [Book(m) for m in get_matches(list_name)]
if filter_partial_metadata:
books = [b for b in books if b.is_metadata_complete()]
return books
def print_section(title : str, books : list[str]):
print(f"# {title} ({len(books)})\n")
longest_title = max([len(b.title) for b in books])
title_column_width = longest_title + 2
for book in books:
row = [book.title, book.author]
format_str = "- {: <" + str(title_column_width) + "} {: <20}"
print(format_str.format(*row))
print()
def print_in_progress():
books = [b for b in Book.get_list(ready_list_name, False) if b.mark]
print_section("in progress", books)
def print_completed():
books = Book.get_list(done_list_name)
print_section("up for borrowing", books)
def print_partial_metadata():
books = Book.get_list(ready_list_name, False)
books += Book.get_list(done_list_name, False)
books = [b for b in books if not b.is_metadata_complete()]
print_section("metadata incomplete", books)
print_in_progress()
print_completed()
print_partial_metadata()

@ -1 +1 @@
Subproject commit 75d9edd04dbd5d0ae7c79244779b1ed364d94e5a Subproject commit 170fb442a8c4a0c06b47e28821ab5fb475e35be1

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src/garden/journal.py Normal file
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#!/usr/bin/env python
import sys
import os
import md2html
def print_usage():
print(f"usage: python {sys.argv[0]} PATHS")
print("")
print("\t\PATHS\tpaths of input markdown files")
if len(sys.argv) < 2:
print_usage()
exit(1)
# we don't want to publish *everything* in the journal, so for now let's just
# hardcode the files we want.
files = sys.argv[1:]
# TODO: copy images
# TODO: separate md fromm images
for f in files:
md2html.write_html(f)
html_path = f.replace(".md", ".html")
print(html_path)

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src/garden/md2html.py Normal file
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#!/usr/bin/env python
import sys
import markdown
def print_usage():
print(f"usage: python {sys.argv[0]} PATHS")
print("")
print("\t\PATHS\tpaths of input markdown files")
if len(sys.argv) < 2:
print_usage()
sys.exit(1)
paths = sys.argv[1:]
bad_paths = [p for p in paths if not p.endswith(".md")]
if len(bad_paths) != 0:
for p in bad_paths:
print(f"Not a markdown file: {p}")
exit(1)
def write_html(src : str):
with open(src) as md:
dest = src.replace(".md", ".html")
with open(dest, "w") as html:
print(f"{src} -> {dest}")
html.write(markdown.markdown(md.read()))
for p in paths:
write_html(p)