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main
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feature/ga
Author | SHA1 | Date |
---|---|---|
ktyl | 797ab70d71 | |
ktyl | b8c3974807 | |
ktyl | b67863f972 | |
ktyl | 9b39147c87 | |
ktyl | bffbb0f371 | |
ktyl | db3eb3221c | |
ktyl | 0d4bdebac9 | |
ktyl | ea39f8a5a8 | |
ktyl | ecbc5a24c4 | |
ktyl | d0e08324e8 | |
ktyl | 371758485e | |
ktyl | d10a3f19c3 |
2
blog
2
blog
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@ -1 +1 @@
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Subproject commit 30dd1e7e01c6348324a3fef001b3a2fabfc05788
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Subproject commit 5a1de185c30b8a1ef3400fe161fcc8f12fbacaa0
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12
makefile
12
makefile
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@ -15,6 +15,9 @@ BLOG_BUILD_DIR = $(BLOG_BASE_DIR)out/html/
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BLOG_OUT_DIR = $(OUT_DIR)/blog
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BLOG_INDEX = $(BLOG_BUILD_DIR)/index.html
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GARDEN_BASE_DIR = $(SRC_DIR)/garden/
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GARDEN_BUILD_DIR = $(GARDEN_BASE_DIR)html
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PAGES = $(shell find $(ROOT_DIR) -wholename "$(ROOT_DIR)*.html")
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STYLES = $(shell find $(ROOT_DIR) -wholename "$(ROOT_DIR)*.css")
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IMAGES = $(shell find $(IMG_DIR) -wholename "$(IMG_DIR)/*.png")
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@ -26,7 +29,8 @@ HTML_TARGETS = $(PAGES:$(ROOT_DIR)/%.html=$(OUT_DIR)/%.html)
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CSS_TARGETS = $(STYLES:$(ROOT_DIR)/%.css=$(OUT_DIR)/%.css)
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PNG_TARGETS = $(IMG_DIR)/%.png=$(OUT_DIR)/%.png
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all: html blog | $(OUT_DIR)
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all: html blog garden | $(OUT_DIR)
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cp -r src/garden/html $(OUT_DIR)/garden
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html: $(HTML_TARGETS) $(CSS_TARGETS) | $(OUT_DIR)
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cp $(IMG_DIR)/*.png $(OUT_DIR)/
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@ -62,8 +66,12 @@ blog: $(HTML_INCLUDES) $(CSS_TARGETS)
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cp $(CSS_TARGETS) `dirname $$page` ; \
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done
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garden:
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make --directory $(GARDEN_BASE_DIR) site
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clean:
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make --directory $(GARDEN_BASE_DIR) clean
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make --directory $(BLOG_BASE_DIR) clean
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rm -rf $(OUT_DIR)
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.PHONY: blog
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.PHONY: blog garden
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@ -0,0 +1 @@
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*.html
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@ -0,0 +1,22 @@
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py = feed.py books.py
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md = rss.md book-collecting.md gardens.md
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html = $(md:%.md=%.html)
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site: Makefile $(md) $(py)
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mkdir html
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python md2html.py $(md)
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cp $(html) $(py) Makefile html
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clean-html:
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rm -r html
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.PHONY: clean-html
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feed:
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python feed.py `pwd`
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rss: feed
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clean: clean-html
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.PHONY: feed clean
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@ -0,0 +1,106 @@
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how do you define a book collection?
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my book collection is the set of all books.
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i prefer physical books to e-readers.
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unfortunately i have quite a few these days.
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i want to read them all eventually!
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i also tend to live in quite small places
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and i want to be able to move city easily!
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so here's my system for organising my physical book collection.
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i want to:
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* read books i already have
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* read as many different books as possible
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* minimise physical storage requirements
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* keep track of books i've read
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* gather books i don't already have
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constraints
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* i don't know for sure what book i will want to read next
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for every book in the world
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* i either have or have not read it
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* i have access to it or i don't
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so i sort my book collection with 4 categories
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*-------------------*-----------------------*
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| | |
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| unread | read |
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| have | have |
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| | |
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| 37º2 le matin | L'Homme des Jeux |
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| | |
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*-------------------*-----------------------*
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| | |
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| unread | read |
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| haven't | haven't |
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| | |
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| Das Kapital | Frankisstein |
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| | |
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*-------------------*-----------------------*
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i can then begin to optimise my collection.
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* i do not have this book, and i have read it.
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* i have this book, but i have not read it.
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* i have this book, and i have read it.
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* i do not have this book, but i have not read it.
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the books i am most interested in having nearby are unread ones, as i would like to read as many different books as possible.
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books i have already read i don't need nearby anymore.
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i might pass it on, or store it somewhere with less of a premium on space.
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i could also attempt to track where it is!
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based on my requirements and my categories, i create four lists for the books
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* ready
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* all done
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* read and gone
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* hunted
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that looks like a decent start to the system, so i suppose now i'll start collecting!
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so i'll use markdown lists in the format
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```
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* [x] author - title # reading
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* [ ] author - title # nearby
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```
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when collecting music i use artist - year - name
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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
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i realised i had a gpt-4 sub and that it could look at pictures now so i gave it a go
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i fed it some photos and some formatting preferences and i got out perfect markdown lists
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```
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- [ ] Doctorow, Cory - Walkaway
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- [ ] Ferreira, Pedro G. - The Perfect Theory
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- [ ] Hadfield, Chris - An Astronaut's Guide to Life on Earth
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- [ ] Heinlein, Robert A. - Beyond This Horizon
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```
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books are lovely are great to look at, but the mishmash of fonts and presentation are a nightmare for indexing.
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now we have some good and lovely metadata :)
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this is an imperfect method, as the only way i can check it is still by combing through the physical books manually
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but it does let me target my combing after identifying problems in the index
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and in the meantime gives us a bunch of data to play with
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markdown lists also allow me to mark some items in a list
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this is looks flexible, so i think in my 'ready' list i will mark which book(s) i am currently reading
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```
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- [ ] Doctorow, Cory - Walkaway
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- [ ] Ferreira, Pedro G. - The Perfect Theory
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- [ ] Hadfield, Chris - An Astronaut's Guide to Life on Earth
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- [ ] Heinlein, Robert A. - Beyond This Horizon
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```
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the other lists i will leave unmarked for now, until i think of something to do with them.
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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?
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[example output](#)
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@ -0,0 +1,87 @@
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import sys
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import os
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import re
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def print_usage():
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print(f"usage: python {sys.argv[0]} DIR")
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print(f"")
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print(f"\tDIR\tdirectory containing markdown lists in files.")
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if len(sys.argv) != 2:
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print_usage()
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exit(1)
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base_path = os.path.abspath(sys.argv[1])
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ready_list_name = "ready.md"
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done_list_name = "all-done.md"
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def get_path(list_name : str) -> str:
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return os.path.join(base_path, list_name)
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def get_matches(list_name : str) -> list[re.Match]:
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# Matches a markdown list item
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entry_pattern = re.compile(r"^[*-] \[([ *x])\] (.+) - (.+)")
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matches = []
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with open(get_path(list_name)) as f:
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matches = [entry_pattern.match(l) for l in f.readlines()]
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return [m for m in matches if m is not None]
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class Book:
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def __init__(self, match : re.Pattern):
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self.mark = match.group(1) != " "
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self.author = match.group(2)
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self.title = match.group(3)
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def is_metadata_complete(self):
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if not self.title or not self.author:
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return False
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if self.title == "???" or self.author == "???":
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return False
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return True
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@staticmethod
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def get_list(list_name : str, filter_partial_metadata = True) -> []:
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books = [Book(m) for m in get_matches(list_name)]
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if filter_partial_metadata:
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books = [b for b in books if b.is_metadata_complete()]
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return books
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def print_section(title : str, books : list[str]):
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print(f"# {title} ({len(books)})\n")
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longest_title = max([len(b.title) for b in books])
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title_column_width = longest_title + 2
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for book in books:
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row = [book.title, book.author]
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format_str = "- {: <" + str(title_column_width) + "} {: <20}"
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print(format_str.format(*row))
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print()
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def print_in_progress():
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books = [b for b in Book.get_list(ready_list_name, False) if b.mark]
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print_section("in progress", books)
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def print_completed():
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books = Book.get_list(done_list_name)
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print_section("up for borrowing", books)
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def print_partial_metadata():
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books = Book.get_list(ready_list_name, False)
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books += Book.get_list(done_list_name, False)
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books = [b for b in books if not b.is_metadata_complete()]
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print_section("metadata incomplete", books)
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print_in_progress()
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print_completed()
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print_partial_metadata()
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@ -0,0 +1,63 @@
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#!/usr/bin/env python3
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import markdown
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import pathlib
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import sys
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import re
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import glob
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import os
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def print_usage():
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print("\nusage: python feed.py ROOT\n")
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print("\n")
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print("\t\ROOT\tbase folder")
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# check args for at most one file paths
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if len(sys.argv) > 2:
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print_usage()
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sys.exit(1)
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base_folder = sys.argv[1] if len(sys.argv) == 2 else os.getcwd()
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print(base_folder)
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def get_paths() -> [str]:
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return [x for x in glob.glob(f"{base_folder}/*.md")]
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def get_text(path):
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with open(path) as f:
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return f.read()
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#def to_html(md : str) -> str:
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# return markdown.markdown(md, extensions=["fenced_code"])
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def get_title(md):
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m = re.compile(r"^# (.+)\n").match(md)
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if m is not None:
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return m.groups(1)[0]
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# truncated first line of file for auto-title
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return md.splitlines()[0][0:30]
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def get_entry(path):
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return get_title(get_text(path))
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def get_entries() -> [str]:
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entries = [get_entry(p) for p in get_paths()]
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return "\n\n".join(entries)
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def get_header() -> str:
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return """<?xml version="1.0" encoding="utf-8" ?>
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<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0">
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<channel>
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<title></title>
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<link>https://ktyl.dev/garden</link>
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<description></description>
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<atom:link href="https://ktyl.dev/garden/feed.xml" rel="self" type="application/rss+xml"/>
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"""
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def get_footer() -> str:
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return "\n</channel></rss>"
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print(get_header())
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print(get_entries())
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print(get_footer())
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@ -0,0 +1,15 @@
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python feed.py `pwd`
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<?xml version="1.0" encoding="utf-8" ?>
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<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0">
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<channel>
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<title></title>
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<link>https://ktyl.dev/garden</link>
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<description></description>
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<atom:link href="https://ktyl.dev/garden/feed.xml" rel="self" type="application/rss+xml"/>
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Digital Gardens
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RSS
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</channel></rss>
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@ -0,0 +1,5 @@
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# Digital Gardens
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* Obsidian
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* Notion
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* Git
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@ -0,0 +1,32 @@
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#!/usr/bin/env python
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import sys
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import markdown
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def print_usage():
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print(f"usage: python {sys.argv[0]} PATHS")
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print("")
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print("\t\PATHS\tpaths of input markdown files")
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if len(sys.argv) < 2:
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print_usage()
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sys.exit(1)
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paths = sys.argv[1:]
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bad_paths = [p for p in paths if not p.endswith(".md")]
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if len(bad_paths) != 0:
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for p in bad_paths:
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print(f"Not a markdown file: {p}")
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exit(1)
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def write_html(src : str):
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with open(src) as md:
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dest = src.replace(".md", ".html")
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with open(dest, "w") as html:
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print(f"{src} -> {dest}")
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html.write(markdown.markdown(md.read()))
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for p in paths:
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write_html(p)
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@ -0,0 +1,35 @@
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# RSS
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Really Simple Syndication (RSS) is an ancient file format for communicating updates over the Web, and my personal favourite.
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* [It's Time for an RSS Revival](https://www.wired.com/story/rss-readers-feedly-inoreader-old-reader/)
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### Stubs:
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* my curated feeds
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* reader applications
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## Technical Simplicity
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From a technical perspective, like [Gemini](gemini://gemini.circumlunar.space) [\(HTTP\)](https://gemini.circumlunar.space/) it's grokkable with a couple good reads of the specification.
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I wrote [a simple generator](https://ktyl.dev/blog/2022/6/3/rss.md)] for my blog posts, and am now working on [a simpler one](./feed.py) for the garden.
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To start with, I'd like to generate it as simply as possible, from just a directory structure, but I can already see I'd like to do more with it.
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I work predominantly in [Git](https://git-scm.com/) repositories, which, like a directory, or a garden, is tree-based.
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My blog's feed has a chronological hierarchy, but at present it's based on manually creating and naming folders.
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It's also very much a _published_ format, rather than a living one.
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This is silly!
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Instead, I'd like to structure my feed around a Git repository, as I think it'd be a much better descriptor of activity.
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## Managing YouTube Subscriptions
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There are many reasons to avoid the YouTube homepage, such as recommended videos or the accursed Shorts.
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YouTube publishes channel-specific RSS feeds, making it totally possible to circumvent its subscription system entirely - including having to make an account - and keep track of channels one enjoys with RSS feeds instead.
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Get a channel's ID:
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1. Go to the channel's page
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2. Go to the About section
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3. Share icon under Stats block
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4. Copy channel ID
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The channel's feed is available at `https://www.youtube.com/feeds/videos.xml?channel_id=CHANNEL_ID_HERE`.
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@ -2,4 +2,5 @@
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<li><a href="/about.html">about</a></li>
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<li><a href="/blog.html">blog</a></li>
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<li><a href="/gallery.html">gallery</a></li>
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<li><a href="/garden/index.html">garden</a></li>
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</ul>
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Loading…
Reference in New Issue