├── requirements.txt
├── model.py
├── README.md
├── roam.py
├── export_books.py
└── LICENSE


/requirements.txt:
--------------------------------------------------------------------------------
1 | PyFunctional
2 | beautifulsoup4
3 | click
4 | requests
5 | dacite
6 | dateparser


--------------------------------------------------------------------------------
/model.py:
--------------------------------------------------------------------------------
 1 | from dataclasses import dataclass
 2 | from datetime import date
 3 | from enum import Enum
 4 | 
 5 | from bs4 import BeautifulSoup
 6 | from functional import seq
 7 | 
 8 | from roam import roam_date
 9 | 
10 | 
11 | class Color(Enum):
12 |     """
13 |     Probably most hacky part of this. Logic is that the colors are represented by images with the given index
14 |     """
15 |     BLUE = 1
16 |     RED = 2
17 |     YELLOW = 3
18 |     GREEN = 4
19 | 
20 | 
21 | @dataclass
22 | class Highlight:
23 |     book: str
24 |     text: str
25 |     note: str
26 |     link: str
27 |     page: str
28 |     date: date
29 |     color: Color
30 | 
31 |     @property
32 |     def markdown_link(self):
33 |         return f'[{self.book}: {self.page}]({self.link})'
34 | 
35 |     @property
36 |     def color_attribute(self):
37 |         return f'color::#{self.color.name.lower()}'
38 | 
39 |     @property
40 |     def date_attribute(self):
41 |         return f'date::[[{roam_date(self.date)}]]'
42 | 
43 |     def as_roam_block_hierarchy(self):
44 |         return {
45 |             self.text: ([{self.note: []}] if self.note else []) + [
46 |                 {self.markdown_link: []},
47 |                 {self.date_attribute: []},
48 |                 {self.color_attribute: []},
49 |             ]
50 |         }
51 | 
52 |     def as_roam_markdown(self):
53 |         return seq(
54 |             f' - {self.text}',
55 |             f'   - {self.note}' if self.note else None,
56 |             f'   - {self.markdown_link}',
57 |             f'   - {self.date_attribute}',
58 |             f'   - {self.color_attribute}'
59 |         ).filter(lambda it: it is not None).make_string('\n')
60 | 
61 |     def as_anki_csv_row(self):
62 |         soup = BeautifulSoup()
63 |         link = soup.new_tag('a', href=self.link, string=f'{self.book}: {self.page}')
64 | 
65 |         return [self.text, self.note, link, str(self.date), self.color.name.lower()]
66 | 


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
 1 | # Google Books highlights and notes extractor
 2 | A script to extract highlights and notes from Google Books highlight document in Google Drive.
 3 | 
 4 | **Why**. The highlights document is ok to read, but if you want to use the highlights/notes elsewhere, there is no way for you to do this besides manually copying notes one by one.  
 5 | My specific use case is adding them to RoamResearch or Anki.
 6 | 
 7 | This script is going to extract:
 8 | * Highlight
 9 | * Note (if present)
10 | * Reference to the position in a book where the highlight originates from.
11 | * Date when the highlight was made. 
12 | * Highlight color
13 | 
14 | 
15 | ### How to use this:
16 | 
17 | 1. Go to the Google Document created by the Google Books with highlights for the book you're interested in;
18 | 1. Download it as HTML;
19 | 1. Uncompress the archive that you got on the previous step;
20 | 1. Install dependencies if any are missing (see requirements.txt)
21 | 1. Run parser.py with the HTML file you got after unpacking the archive as an input. E.g: 
22 |     * Markdown `python export_books.py local /path/to/file.html -o output.md -b "Book name" --since yesterday`
23 |     * Roam Graph `python export_books.py roam /path/to/file.html -b "Book name" --since yesterday --graph stvad-api --api-key <key> --graph-token <token>` 
24 | 
25 | 
26 | #### Output formats
27 | 
28 | This script supports the following output formats:
29 | 
30 | 1. **Markdown** - store output to local Markdown file. Formatted to be pasted in Roam
31 | 1. **CSV** - store output to local CSV file. Structured in a way that it's easy to import into Anki
32 | 1. **Roam Graph** - this method uses Roam API to add highlights directly to the book's page in your Roam Graph (You'd need API token to use this)
33 | 
34 | **Full options:** 
35 | ```
36 | Usage: export_books.py [OPTIONS] COMMAND [ARGS]...
37 | 
38 | Options:
39 |   --help  Show this message and exit.
40 | 
41 | Commands:
42 |   local  Output results locally
43 |   roam   Store highlights to a Roam Graph
44 | 
45 | ---
46 | 
47 | Usage: export_books.py local [OPTIONS] FILE
48 | 
49 |   Output results locally
50 | 
51 | Options:
52 |   -b, --book-name TEXT        Book name, would be appended to the source
53 |                               reference  [required]
54 |   --since TEXT                Starting point to take highlights from (supports
55 |                               natural language)
56 |   -o, --output FILENAME       Output file
57 |   -t, --export-type [md|csv]
58 |   --help                      Show this message and exit.
59 | 
60 | ---
61 | 
62 | Usage: export_books.py roam [OPTIONS] FILE
63 | 
64 |   Store highlights to a Roam Graph
65 | 
66 | Options:
67 |   -b, --book-name TEXT  Book name, would be appended to the source reference
68 |                         [required]
69 |   --since TEXT          Starting point to take highlights from (supports
70 |                         natural language)
71 |   -g, --graph TEXT      The name of the Roam graph to store highlights to
72 |                         [required]
73 |   --api-key TEXT        Roam API key  [required]. Also can be supplied through env variable ROAM_API_KEY
74 |   --graph-token TEXT    Roam Graph token  [required]. Also can be supplied through env variable ROAM_GRAPH_TOKEN.
75 |   --help                Show this message and exit.
76 | ```


--------------------------------------------------------------------------------
/roam.py:
--------------------------------------------------------------------------------
  1 | import json
  2 | import logging as log
  3 | from dataclasses import dataclass
  4 | from datetime import date
  5 | from typing import Optional, List
  6 | 
  7 | import requests
  8 | from dacite import from_dict
  9 | from functional import seq
 10 | 
 11 | log.basicConfig(level=log.INFO)
 12 | 
 13 | 
 14 | @dataclass
 15 | class Page:
 16 |     uid: str
 17 |     title: str
 18 | 
 19 |     @classmethod
 20 |     def from_pull_result(cls, result: dict):
 21 |         return cls(result['block/uid'], result['node/title'])
 22 | 
 23 | 
 24 | @dataclass
 25 | class Block:
 26 |     uid: str
 27 |     string: str
 28 | 
 29 |     @classmethod
 30 |     def from_pull_result(cls, result: dict):
 31 |         return Block(result['block/uid'], result['block/string'])
 32 | 
 33 |     @classmethod
 34 |     def from_create_result(cls, result: dict):
 35 |         return Block(result['uid'], result['string'])
 36 | 
 37 | 
 38 | class RoamError(RuntimeError):
 39 |     object_exists = "cognitect.anomalies/conflict"
 40 | 
 41 |     def __init__(self, message, error_type=None):
 42 |         super().__init__(message)
 43 |         self.type = error_type
 44 | 
 45 | 
 46 | def uid_param(uid):
 47 |     return [('uid', uid)] if uid else []
 48 | 
 49 | 
 50 | class Roam:
 51 |     def __init__(self,
 52 |                  graph_name: str,
 53 |                  key: str,
 54 |                  token: str,
 55 |                  endpoint: str = 'https://4c67k7zc26.execute-api.us-west-2.amazonaws.com/v1/alphaAPI'):
 56 |         self.graph_name = graph_name
 57 |         self.key = key
 58 |         self.token = token
 59 |         self.endpoint = endpoint
 60 | 
 61 |     def _send_request(self, action: str, **params):
 62 |         payload = dict([('graph-name', self.graph_name)], action=action, **params)
 63 |         log.info(f'Sending request to {self.endpoint}. For graph {self.graph_name} \n'
 64 |                  f'With payload: {payload}')
 65 | 
 66 |         response = requests.post(self.endpoint,
 67 |                                  headers={
 68 |                                      'x-api-key': self.key,
 69 |                                      'x-api-token': self.token,
 70 |                                  },
 71 |                                  json=payload
 72 |                                  )
 73 |         log.info(response)
 74 |         log.info(response.text)
 75 |         self.raise_errors(response)
 76 |         result = json.loads(response.text)['success']
 77 |         return result
 78 | 
 79 |     def query(self, query: str) -> List:
 80 |         return seq(self._send_request('q', query=query)).map(lambda it: it[0]).to_list()
 81 | 
 82 |     def pull(self, selector, uid):
 83 |         return self._send_request('pull', selector=selector, uid=uid)
 84 | 
 85 |     def get_page_by_title(self, title: str) -> Page:
 86 |         result = self.query(f'[:find (pull ?page [*]) '
 87 |                             f':where [?page :node/title "{title}"]'
 88 |                             f']')
 89 | 
 90 |         return Page.from_pull_result(result[0])
 91 | 
 92 |     def get_children(self, uid):
 93 |         results = self.query('[:find (pull ?children [*])'
 94 |                              ':where '
 95 |                              f'[?block :block/uid "{uid}"]'
 96 |                              '[?block :block/children ?children]'
 97 |                              ']')
 98 | 
 99 |         return [Block.from_pull_result(block) for block in results]
100 | 
101 |     def get_children_by_string(self, parent_uid: str, string: str):
102 |         children = self.get_children(parent_uid)
103 |         return seq(children).filter(lambda it: it.string == string).to_list()
104 | 
105 |     def get_all_blocks(self):
106 |         return self.query('[ :find (pull ?block [:block/string :block/uid]) :where [?block :block/string]]')
107 | 
108 |     def create_page(self, title: str, uid: Optional[str] = None):
109 |         result = self._send_request('create-page',
110 |                                     page=dict([('title', title)] + uid_param(uid)))
111 |         return from_dict(Page, result[0])
112 | 
113 |     @staticmethod
114 |     def raise_errors(response):
115 |         error = json.loads(response.text).get('error')
116 |         if error:
117 |             raise RoamError(error['cognitect.anomalies/message'],
118 |                             error['cognitect.anomalies/category'])
119 | 
120 |     def create_block(self, parent_uid: str, block: dict, order: int = 0):
121 |         # todo uid support?
122 |         string = next(iter(block))
123 |         response = self._send_request('create-block',
124 |                                       location={'parent-uid': parent_uid, 'order': order},
125 |                                       block={'string': string})
126 | 
127 |         result = Block.from_create_result(response[0])
128 |         return result, {result.uid: [self.create_block(result.uid, child) for child in reversed(block[string])]}
129 | 
130 | 
131 | def strftime(date_format, date_to_format: date):
132 |     def suffix(day):
133 |         return 'th' if 11 <= day <= 13 else {1: 'st', 2: 'nd', 3: 'rd'}.get(day % 10, 'th')
134 | 
135 |     return date_to_format.strftime(date_format).replace('{S}', str(date_to_format.day) + suffix(date_to_format.day))
136 | 
137 | 
138 | def roam_date(date_to_format: date):
139 |     return strftime("%B {S}, %Y", date_to_format)
140 | 


--------------------------------------------------------------------------------
/export_books.py:
--------------------------------------------------------------------------------
  1 | import csv
  2 | import dateparser
  3 | import functools
  4 | import logging as log
  5 | from datetime import datetime, date
  6 | from sys import stdout
  7 | from typing import IO, Iterable
  8 | 
  9 | import click
 10 | from bs4 import BeautifulSoup, Tag
 11 | from functional import seq
 12 | 
 13 | from model import Highlight, Color
 14 | from roam import Roam, RoamError, Page, Block
 15 | 
 16 | log.basicConfig(level=log.INFO)
 17 | 
 18 | 
 19 | def save_md(file: IO, highlights: seq):
 20 |     file.write(highlights.map(lambda it: it.as_roam_markdown()).make_string('\n'))
 21 | 
 22 | 
 23 | def save_csv(file, highlights: seq):
 24 |     writer = csv.writer(file)
 25 |     writer.writerows(highlights.map(lambda it: it.as_anki_csv_row()))
 26 | 
 27 | 
 28 | save_map = {'md': save_md, 'csv': save_csv}
 29 | 
 30 | 
 31 | @click.group()
 32 | def cli():
 33 |     pass
 34 | 
 35 | 
 36 | def common_params(func):
 37 |     @click.argument('file', type=click.File())
 38 |     @click.option('-b', '--book-name', required=True, help='Book name, would be appended to the source reference')
 39 |     @click.option('--since', default='0', help='Starting point to take highlights from (supports natural language)')
 40 |     @functools.wraps(func)
 41 |     def wrapper(*args, **kwargs):
 42 |         return func(*args, **kwargs)
 43 | 
 44 |     return wrapper
 45 | 
 46 | 
 47 | @cli.command(help='Output results locally')
 48 | @common_params
 49 | @click.option('-o', '--output', default=stdout, help="Output file", type=click.File(mode="w"))
 50 | @click.option('-t', '--export-type', default='md', type=click.Choice(save_map.keys()))
 51 | def local(file, book_name, since, output, export_type):
 52 |     highlights = find_highlights(file, book_name, dateparser.parse(since).date())
 53 | 
 54 |     save_map[export_type](output, highlights)
 55 | 
 56 | 
 57 | @cli.command(help='Store highlights to a Roam Graph')
 58 | @common_params
 59 | @click.option('-g', '--graph', required=True, help='The name of the Roam graph to store highlights to')
 60 | @click.option('--api-key', required=True, help='Roam API key', envvar='ROAM_API_KEY')
 61 | @click.option('--graph-token', required=True, help='Roam Graph token', envvar='ROAM_GRAPH_TOKEN')
 62 | def roam(file, book_name, since, graph, api_key, graph_token):
 63 |     highlights = find_highlights(file, book_name, dateparser.parse(since).date())
 64 | 
 65 |     client = Roam(graph, api_key, graph_token)
 66 |     RoamSaver(client).save(book_name, highlights)
 67 | 
 68 | 
 69 | class RoamSaver:
 70 |     def __init__(self, roam_client: Roam,
 71 |                  header_block_name: str = '#highlights'):
 72 |         self.roam = roam_client
 73 |         self.header_block_name = header_block_name
 74 | 
 75 |     def save(self, book: str, highlights: Iterable[Highlight]):
 76 |         page = self.create_book_page(book)
 77 |         block = self.create_header_block(page)
 78 |         result = seq(highlights).map(lambda it: it.as_roam_block_hierarchy()).reverse().map(
 79 |             lambda it: self.roam.create_block(block.uid, it))
 80 | 
 81 |         log.info(result)
 82 | 
 83 |     def create_book_page(self, book) -> Page:
 84 |         try:
 85 |             page = self.roam.create_page(book)
 86 |             # todo create metadata block
 87 |             return page
 88 |         except RoamError as e:
 89 |             if e.type == RoamError.object_exists:
 90 |                 log.info(e)
 91 |                 return self.roam.get_page_by_title(book)
 92 |             else:
 93 |                 raise
 94 | 
 95 |     def create_header_block(self, page: Page) -> Block:
 96 |         children = self.roam.get_children_by_string(page.uid, self.header_block_name)
 97 | 
 98 |         if children:
 99 |             return children[0]
100 | 
101 |         return self.roam.create_block(page.uid, {self.header_block_name: []})[0]
102 | 
103 | 
104 | def find_highlights(file, book_name: str, since: date = date.min):
105 |     """
106 |     The extraction is based on the structure of the HTML file the export from Google Docs would give you for the
107 |     document containing the notes. 1 cell table container, inside of which there is another table that contains cells
108 |     for Image, Highlight, Note and Date.
109 |     """
110 |     soup = BeautifulSoup(file.read(), 'html.parser')
111 |     containers = soup.find_all(rowspan=1, colspan=1)
112 |     return (seq(containers)
113 |             .map(lambda tag: tag.find_all(rowspan=1, colspan=1))
114 |             .filter(lambda quote_tags: len(quote_tags) != 0)
115 |             .map(lambda tags: parse_highlight(*tags, book=book_name))
116 |             .filter(lambda it: it is not None)
117 |             .filter(lambda it: it.date >= since))
118 | 
119 | 
120 | def parse_color(color_container: Tag) -> Color:
121 |     color_tag: Tag = color_container.find('img')
122 | 
123 |     name_color_map = {f'images/image{color.value}.png': color for color in Color}
124 | 
125 |     return name_color_map[color_tag['src']]
126 | 
127 | 
128 | def parse_highlight(color_container, quote, link, book):
129 |     try:
130 |         text, *note, date_tag = quote.find_all('span')
131 |         link_tag: Tag = link.find('a')
132 |         return Highlight(book,
133 |                          text.get_text(),
134 |                          extract_note(note),
135 |                          link_tag['href'],
136 |                          link_tag.string,
137 |                          datetime.strptime(date_tag.get_text(), "%B %d, %Y").date(),
138 |                          parse_color(color_container))
139 |     except Exception as e:
140 |         print(quote, e)
141 |         return None
142 | 
143 | 
144 | def extract_note(note_tags):
145 |     try:
146 |         _, note_tag, _ = note_tags
147 |         return note_tag.get_text()
148 |     except:
149 |         return ""
150 | 
151 | 
152 | if __name__ == '__main__':
153 |     cli()
154 | 


--------------------------------------------------------------------------------
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