├── .gitignore
├── .python-version
├── LICENSE
├── Pipfile
├── Pipfile.lock
├── README.md
├── Topics.ipynb
├── bookmark_search.py
├── bookmark_search_app.py
├── ingest_bookmarks.py
├── pyproject.toml
├── requirements-dev.lock
├── requirements.lock
└── uv.lock


/.gitignore:
--------------------------------------------------------------------------------
 1 | # python generated files
 2 | __pycache__/
 3 | *.py[oc]
 4 | build/
 5 | dist/
 6 | wheels/
 7 | *.egg-info
 8 | 
 9 | # venv
10 | .venv
11 | 


--------------------------------------------------------------------------------
/.python-version:
--------------------------------------------------------------------------------
1 | 3.10


--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
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552 | 
553 |   Notwithstanding any other provision of this License, you have
554 | permission to link or combine any covered work with a work licensed
555 | under version 3 of the GNU General Public License into a single
556 | combined work, and to convey the resulting work.  The terms of this
557 | License will continue to apply to the part which is the covered work,
558 | but the work with which it is combined will remain governed by version
559 | 3 of the GNU General Public License.
560 | 
561 |   14. Revised Versions of this License.
562 | 
563 |   The Free Software Foundation may publish revised and/or new versions of
564 | the GNU Affero General Public License from time to time.  Such new versions
565 | will be similar in spirit to the present version, but may differ in detail to
566 | address new problems or concerns.
567 | 
568 |   Each version is given a distinguishing version number.  If the
569 | Program specifies that a certain numbered version of the GNU Affero General
570 | Public License "or any later version" applies to it, you have the
571 | option of following the terms and conditions either of that numbered
572 | version or of any later version published by the Free Software
573 | Foundation.  If the Program does not specify a version number of the
574 | GNU Affero General Public License, you may choose any version ever published
575 | by the Free Software Foundation.
576 | 
577 |   If the Program specifies that a proxy can decide which future
578 | versions of the GNU Affero General Public License can be used, that proxy's
579 | public statement of acceptance of a version permanently authorizes you
580 | to choose that version for the Program.
581 | 
582 |   Later license versions may give you additional or different
583 | permissions.  However, no additional obligations are imposed on any
584 | author or copyright holder as a result of your choosing to follow a
585 | later version.
586 | 
587 |   15. Disclaimer of Warranty.
588 | 
589 |   THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
590 | APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
591 | HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
592 | OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
593 | THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
594 | PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
595 | IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
596 | ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
597 | 
598 |   16. Limitation of Liability.
599 | 
600 |   IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
601 | WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
602 | THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
603 | GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
604 | USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
605 | DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
606 | PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
607 | EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
608 | SUCH DAMAGES.
609 | 
610 |   17. Interpretation of Sections 15 and 16.
611 | 
612 |   If the disclaimer of warranty and limitation of liability provided
613 | above cannot be given local legal effect according to their terms,
614 | reviewing courts shall apply local law that most closely approximates
615 | an absolute waiver of all civil liability in connection with the
616 | Program, unless a warranty or assumption of liability accompanies a
617 | copy of the Program in return for a fee.
618 | 
619 |                      END OF TERMS AND CONDITIONS
620 | 
621 |             How to Apply These Terms to Your New Programs
622 | 
623 |   If you develop a new program, and you want it to be of the greatest
624 | possible use to the public, the best way to achieve this is to make it
625 | free software which everyone can redistribute and change under these terms.
626 | 
627 |   To do so, attach the following notices to the program.  It is safest
628 | to attach them to the start of each source file to most effectively
629 | state the exclusion of warranty; and each file should have at least
630 | the "copyright" line and a pointer to where the full notice is found.
631 | 
632 |     <one line to give the program's name and a brief idea of what it does.>
633 |     Copyright (C) <year>  <name of author>
634 | 
635 |     This program is free software: you can redistribute it and/or modify
636 |     it under the terms of the GNU Affero General Public License as published
637 |     by the Free Software Foundation, either version 3 of the License, or
638 |     (at your option) any later version.
639 | 
640 |     This program is distributed in the hope that it will be useful,
641 |     but WITHOUT ANY WARRANTY; without even the implied warranty of
642 |     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
643 |     GNU Affero General Public License for more details.
644 | 
645 |     You should have received a copy of the GNU Affero General Public License
646 |     along with this program.  If not, see <https://www.gnu.org/licenses/>.
647 | 
648 | Also add information on how to contact you by electronic and paper mail.
649 | 
650 |   If your software can interact with users remotely through a computer
651 | network, you should also make sure that it provides a way for users to
652 | get its source.  For example, if your program is a web application, its
653 | interface could display a "Source" link that leads users to an archive
654 | of the code.  There are many ways you could offer source, and different
655 | solutions will be better for different programs; see section 13 for the
656 | specific requirements.
657 | 
658 |   You should also get your employer (if you work as a programmer) or school,
659 | if any, to sign a "copyright disclaimer" for the program, if necessary.
660 | For more information on this, and how to apply and follow the GNU AGPL, see
661 | <https://www.gnu.org/licenses/>.
662 | 


--------------------------------------------------------------------------------
/Pipfile:
--------------------------------------------------------------------------------
 1 | [[source]]
 2 | url = "https://pypi.org/simple"
 3 | verify_ssl = true
 4 | name = "pypi"
 5 | 
 6 | [packages]
 7 | "mastodon.py" = "*"
 8 | polars = "*"
 9 | streamlit = "*"
10 | bleach = "*"
11 | bertopic = "*"
12 | 
13 | [dev-packages]
14 | 
15 | [requires]
16 | python_version = "3.10"
17 | 


--------------------------------------------------------------------------------
/Pipfile.lock:
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1149 |             "markers": "python_version >= '3.8'",
1150 |             "version": "==0.18.1"
1151 |         },
1152 |         "safetensors": {
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1474 |             ],
1475 |             "markers": "python_version >= '3.7'",
1476 |             "version": "==0.19.1"
1477 |         },
1478 |         "toml": {
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1484 |             "version": "==0.10.2"
1485 |         },
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1516 |             ],
1517 |             "markers": "python_full_version >= '3.8.0'",
1518 |             "version": "==2.3.0"
1519 |         },
1520 |         "tornado": {
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1531 |                 "sha256:f7894c581ecdcf91666a0912f18ce5e757213999e183ebfc2c3fdbf4d5bd764e",
1532 |                 "sha256:fd03192e287fbd0899dd8f81c6fb9cbbc69194d2074b38f384cb6fa72b80e9c2"
1533 |             ],
1534 |             "markers": "python_version >= '3.8'",
1535 |             "version": "==6.4"
1536 |         },
1537 |         "tqdm": {
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1540 |                 "sha256:e4d936c9de8727928f3be6079590e97d9abfe8d39a590be678eb5919ffc186bb"
1541 |             ],
1542 |             "markers": "python_version >= '3.7'",
1543 |             "version": "==4.66.4"
1544 |         },
1545 |         "transformers": {
1546 |             "hashes": [
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1548 |                 "sha256:80a4db216533d573e9cc7388646c31ed9480918feb7c55eb211249cb23567f87"
1549 |             ],
1550 |             "markers": "python_full_version >= '3.8.0'",
1551 |             "version": "==4.41.2"
1552 |         },
1553 |         "typing-extensions": {
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1555 |                 "sha256:6024b58b69089e5a89c347397254e35f1bf02a907728ec7fee9bf0fe837d203a",
1556 |                 "sha256:915f5e35ff76f56588223f15fdd5938f9a1cf9195c0de25130c627e4d597f6d1"
1557 |             ],
1558 |             "markers": "python_version >= '3.8'",
1559 |             "version": "==4.12.1"
1560 |         },
1561 |         "tzdata": {
1562 |             "hashes": [
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1564 |                 "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"
1565 |             ],
1566 |             "markers": "python_version >= '2'",
1567 |             "version": "==2024.1"
1568 |         },
1569 |         "umap-learn": {
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1571 |                 "sha256:5b3917a862c23ba0fc83bfcd67a7b719dec85b3d9c01fdc7d894cce455df4e03",
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1573 |             ],
1574 |             "version": "==0.5.6"
1575 |         },
1576 |         "urllib3": {
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1578 |                 "sha256:450b20ec296a467077128bff42b73080516e71b56ff59a60a02bef2232c4fa9d",
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1580 |             ],
1581 |             "markers": "python_version >= '3.8'",
1582 |             "version": "==2.2.1"
1583 |         },
1584 |         "watchdog": {
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1606 |                 "sha256:d10a681c9a1d5a77e75c48a3b8e1a9f2ae2928eda463e8d33660437705659682",
1607 |                 "sha256:d4925e4bf7b9bddd1c3de13c9b8a2cdb89a468f640e66fbfabaf735bd85b3e35",
1608 |                 "sha256:d7b9f5f3299e8dd230880b6c55504a1f69cf1e4316275d1b215ebdd8187ec88d",
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1610 |                 "sha256:dddba7ca1c807045323b6af4ff80f5ddc4d654c8bce8317dde1bd96b128ed253",
1611 |                 "sha256:e7921319fe4430b11278d924ef66d4daa469fafb1da679a2e48c935fa27af193",
1612 |                 "sha256:e93f451f2dfa433d97765ca2634628b789b49ba8b504fdde5837cdcf25fdb53b",
1613 |                 "sha256:eebaacf674fa25511e8867028d281e602ee6500045b57f43b08778082f7f8b44",
1614 |                 "sha256:ef0107bbb6a55f5be727cfc2ef945d5676b97bffb8425650dadbb184be9f9a2b",
1615 |                 "sha256:f0de0f284248ab40188f23380b03b59126d1479cd59940f2a34f8852db710625",
1616 |                 "sha256:f27279d060e2ab24c0aa98363ff906d2386aa6c4dc2f1a374655d4e02a6c5e5e",
1617 |                 "sha256:f8affdf3c0f0466e69f5b3917cdd042f89c8c63aebdb9f7c078996f607cdb0f5"
1618 |             ],
1619 |             "markers": "platform_system != 'Darwin'",
1620 |             "version": "==4.0.1"
1621 |         },
1622 |         "webencodings": {
1623 |             "hashes": [
1624 |                 "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78",
1625 |                 "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"
1626 |             ],
1627 |             "version": "==0.5.1"
1628 |         }
1629 |     },
1630 |     "develop": {}
1631 | }
1632 | 


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
 1 | # Mastodon Bookmark Search
 2 | 
 3 | A simple web application based on Streamlit that allows you to search and explore your Mastodon bookmarks.
 4 | 
 5 | ## Usage
 6 | 
 7 | 1. To install the dependencies, run
 8 | 
 9 |     ```bash
10 |     pipenv install
11 |     ```
12 | 
13 | Currently, the dependencies are locked for Python 3.10 on Linux. If you are on a different version or platform and pipenv fails, try deleting the virtual environment (with `pipenv --rm`), delete (or rename) _`Pipfile.lock`_, and then run `pipenv install` again.
14 | 
15 | 2. Set up credentials for your Mastodon server with
16 | 
17 |     ```bash
18 |     pipenv run python ingest_bookmarks.py login
19 |     ```
20 | 
21 | 3. Import your bookmarks with
22 | 
23 |     ```bash
24 |     pipenv run python ingest_bookmarks.py ingest
25 |     ```
26 | 
27 | 4. Run the web app with
28 | 
29 |     ```bash
30 |     pipenv run streamlit run bookmark_search_app.py
31 |     ```
32 | 


--------------------------------------------------------------------------------
/bookmark_search.py:
--------------------------------------------------------------------------------
 1 | #!/usr/bin/env python
 2 | # -*- coding: utf-8 -*-
 3 | 
 4 | import argparse
 5 | import html
 6 | import logging
 7 | import sys
 8 | from pathlib import Path
 9 | 
10 | import bleach
11 | import polars as pl
12 | 
13 | BOOKMARK_FILE = Path("bookmarks.json")
14 | 
15 | 
16 | def read_bookmarks():
17 |     data = pl.read_ndjson(BOOKMARK_FILE, ignore_errors=True)
18 |     data = data.select(
19 |         "id",
20 |         "created_at",
21 |         "language",
22 |         "url",
23 |         "content",
24 |         pl.concat_str(
25 |             pl.col("content")
26 |             .str.replace_all(r"<br>", "\n")
27 |             .map_elements(
28 |                 lambda s: html.unescape(bleach.clean(s, tags={}, strip=True))
29 |             ),
30 |             pl.col("card").struct.field("title"),
31 |             pl.col("card").struct.field("description"),
32 |             separator="\n",
33 |             ignore_nulls=True,
34 |         ).alias("text"),
35 |         "replies_count",
36 |         "reblogs_count",
37 |         "favourites_count",
38 |         pl.col("account").struct.field("acct").alias("user_acct"),
39 |         pl.col("account").struct.field("display_name").alias("user_display_name"),
40 |         pl.col("tags")
41 |         .list.eval(pl.element().struct.field("name").str.to_lowercase())
42 |         .alias("hashtags"),
43 |     )
44 |     return data
45 | 
46 | 
47 | def get_hashtags(data):
48 |     return (
49 |         data.get_column("hashtags").list.explode().drop_nulls().value_counts(sort=True)
50 |     )
51 | 
52 | 
53 | def main():
54 |     # Parse commandline arguments
55 |     arg_parser = argparse.ArgumentParser()
56 |     arg_parser.add_argument("-v", "--verbose", action="store_true")
57 |     arg_parser.add_argument(
58 |         "-o", "--outfile", default=sys.stdout, type=argparse.FileType("w")
59 |     )
60 |     args = arg_parser.parse_args()
61 |     # Set up logging
62 |     if args.verbose:
63 |         level = logging.DEBUG
64 |     else:
65 |         level = logging.ERROR
66 |     logging.basicConfig(level=level)
67 |     # Return exit value
68 |     data = read_bookmarks()
69 |     print(data.get_column("text"))
70 |     hashtags = get_hashtags(data)
71 |     print(hashtags)
72 |     return 0
73 | 
74 | 
75 | if __name__ == "__main__":
76 |     sys.exit(main())
77 | 


--------------------------------------------------------------------------------
/bookmark_search_app.py:
--------------------------------------------------------------------------------
  1 | #!/usr/bin/env python
  2 | # -*- coding: utf-8 -*-
  3 | 
  4 | import argparse
  5 | import logging
  6 | import sys
  7 | 
  8 | import bookmark_search
  9 | import polars as pl
 10 | import streamlit as st
 11 | 
 12 | 
 13 | @st.cache_data
 14 | def read_bookmarks():
 15 |     data = bookmark_search.read_bookmarks()
 16 |     docs = data.get_column("text").to_list()
 17 |     return data, docs
 18 | 
 19 | 
 20 | @st.cache_resource
 21 | def load_model(model="all-MiniLM-L6-v2"):
 22 |     from sentence_transformers import SentenceTransformer
 23 | 
 24 |     sentence_model = SentenceTransformer(model)
 25 |     return sentence_model
 26 | 
 27 | 
 28 | @st.cache_data
 29 | def compute_embeddings(_model, docs):
 30 |     return _model.encode(docs, show_progress_bar=False)
 31 | 
 32 | 
 33 | @st.cache_data
 34 | def compute_topics(docs, *, embeddings, _embedding_model):
 35 |     from bertopic import BERTopic
 36 |     from bertopic.representation import KeyBERTInspired
 37 | 
 38 |     representation_model = KeyBERTInspired()
 39 |     topic_model = BERTopic(
 40 |         embedding_model=_embedding_model, representation_model=representation_model
 41 |     )
 42 |     topic_model.fit(docs, embeddings=embeddings)
 43 |     return topic_model
 44 | 
 45 | 
 46 | @st.cache_data
 47 | def generate_topic_map(_topic_model, *, docs, embeddings):
 48 |     return _topic_model.visualize_documents(docs=docs, embeddings=embeddings)
 49 | 
 50 | 
 51 | def main():
 52 |     # Site title
 53 |     st.title("Mastodon Bookmark Search")
 54 |     # Get data
 55 |     data, docs = read_bookmarks()
 56 |     # Run topic model
 57 |     embedding_model = load_model()
 58 |     embeddings = compute_embeddings(embedding_model, docs)
 59 |     topic_model = compute_topics(
 60 |         docs, embeddings=embeddings, _embedding_model=embedding_model
 61 |     )
 62 |     topic_info = pl.from_pandas(topic_model.get_topic_info())
 63 |     # Add topic info to data
 64 |     topics = topic_model.topics_
 65 |     new_topics = topic_model.reduce_outliers(docs, topics)
 66 |     data = data.with_columns(
 67 |         pl.Series(name="topic", values=topics),
 68 |         pl.Series(name="new_topic", values=new_topics),
 69 |     )
 70 |     # Configure sidebar
 71 |     with st.sidebar:
 72 |         st.header("Filters")
 73 |         st.subheader("Search")
 74 |         search_text = st.text_input("Search text")
 75 |         use_semantic_search = st.toggle("Use semantic search")
 76 |         st.subheader("Hashtags")
 77 |         hashtags = bookmark_search.get_hashtags(data)
 78 |         tag_options = hashtags.filter(pl.col("count") > 1).get_column("hashtags")
 79 |         selected_tags = st.multiselect("Hashtags", options=tag_options)
 80 |         st.subheader("Topic")
 81 |         topic_options = topic_info.get_column("Name")
 82 |         selected_topic = st.selectbox("Topic", options=topic_options, index=None)
 83 |         reduce_outliers = st.toggle("Reduce outliers")
 84 |         show_topic_map = st.toggle("Show topic map")
 85 |     # Hashtag filter
 86 |     for tag in selected_tags:
 87 |         data = data.filter(pl.col("hashtags").list.contains(tag))
 88 |     # Topic modeling
 89 |     if selected_topic:
 90 |         topic_id = (
 91 |             # fmt:off
 92 |             topic_info
 93 |             .filter(pl.col("Name") == selected_topic)
 94 |             .select("Topic")
 95 |             .item()
 96 |         )
 97 |         print(selected_topic, topic_id)
 98 |         if reduce_outliers:
 99 |             data = data.filter(pl.col("new_topic") == topic_id)
100 |         else:
101 |             data = data.filter(pl.col("topic") == topic_id)
102 |     # Search
103 |     if search_text:
104 |         if use_semantic_search:
105 |             from sentence_transformers import util
106 | 
107 |             query_embedding = embedding_model.encode(
108 |                 search_text, convert_to_tensor=True
109 |             )
110 |             n_results = 20
111 |             hits = util.semantic_search(query_embedding, embeddings, top_k=n_results)
112 |             hits_df = pl.DataFrame(hits[0], schema_overrides={"corpus_id": pl.UInt32})
113 |             data = (
114 |                 data.with_row_index()
115 |                 .join(hits_df, left_on="index", right_on="corpus_id")
116 |                 .sort("score", descending=True)
117 |             )
118 |         else:
119 |             data = data.filter(
120 |                 pl.col("text").str.to_lowercase().str.contains(search_text.lower())
121 |             )
122 |     # Display topic map
123 |     if show_topic_map:
124 |         topic_map = generate_topic_map(topic_model, docs=docs, embeddings=embeddings)
125 |         st.plotly_chart(topic_map)
126 |     # Display results
127 |     for row in data.iter_rows(named=True):
128 |         text = row["text"]
129 |         if search_text:
130 |             text = text.replace(search_text, f":orange[{search_text}]")
131 |         st.markdown(
132 |             f"""
133 | **{row["user_display_name"]}** :gray[@{row["user_acct"].replace("@", "​@")}]
134 | 
135 | {text}
136 | """
137 |         )
138 |         st.caption(f"""[{row["created_at"]}]({row["url"]})""")
139 |         st.divider()
140 | 
141 | 
142 | if __name__ == "__main__":
143 |     main()
144 | 


--------------------------------------------------------------------------------
/ingest_bookmarks.py:
--------------------------------------------------------------------------------
  1 | import json
  2 | from pathlib import Path
  3 | import shutil
  4 | import argparse
  5 | import getpass
  6 | 
  7 | from mastodon import Mastodon
  8 | 
  9 | BOOKMARK_FILE = Path("bookmarks.json")
 10 | BOOKMARK_FILE_TMP = Path("bookmarks.json.tmp")
 11 | 
 12 | CLIENT_SECRETS_FILE = "mbs_client.secret"
 13 | USER_SECRETS_FILE = "mbs_user.secret"
 14 | 
 15 | 
 16 | def register_app(base_url, client_cred_file):
 17 |     Mastodon.create_app(
 18 |         "mastodon-bookmark-search",
 19 |         api_base_url=base_url,
 20 |         to_file=client_cred_file,
 21 |     )
 22 |     print(f"Application registered. Client credentials saved to {client_cred_file}")
 23 | 
 24 | 
 25 | def login(base_url, client_cred_file, user_cred_file, email, password):
 26 |     mastodon = Mastodon(client_id=client_cred_file, api_base_url=base_url)
 27 |     mastodon.log_in(email, password, to_file=user_cred_file)
 28 |     print(f"User logged in. User credentials saved to {user_cred_file}")
 29 | 
 30 | 
 31 | def ingest():
 32 |     if not Path(USER_SECRETS_FILE).is_file():
 33 |         print(
 34 |             f'No credentials. Log in first using "python {Path(__file__).name} login".'
 35 |         )
 36 |         return
 37 |     mastodon = Mastodon(access_token=USER_SECRETS_FILE)
 38 |     # Get last saved bookmark
 39 |     last_bookmark_id = None
 40 |     if BOOKMARK_FILE.is_file():
 41 |         with BOOKMARK_FILE.open() as infile:
 42 |             for line in infile:
 43 |                 break
 44 |             bookmark = json.loads(line)
 45 |             last_bookmark_id = bookmark["id"]
 46 | 
 47 |     # Get new bookmarks
 48 |     bookmarks = mastodon.bookmarks()
 49 |     with BOOKMARK_FILE_TMP.open("w") as outfile:
 50 |         while bookmarks:
 51 |             for bookmark in bookmarks:
 52 |                 # We already have that bookmark, end here.
 53 |                 if bookmark["id"] == last_bookmark_id:
 54 |                     break
 55 |                 outfile.write(json.dumps(bookmark, default=str))
 56 |                 outfile.write("\n")
 57 |             # Python weirdness: for/else gets executed when no
 58 |             # break statement is encountered. Used here to control
 59 |             # the outer while loop.
 60 |             else:
 61 |                 print("Get next page")
 62 |                 bookmarks = mastodon.fetch_next(bookmarks)
 63 |                 continue
 64 |             break
 65 | 
 66 |     if BOOKMARK_FILE.is_file():
 67 |         # Merge the new and old bookmarks files
 68 |         with BOOKMARK_FILE_TMP.open("a") as outfile, BOOKMARK_FILE.open() as infile:
 69 |             shutil.copyfileobj(infile, outfile)
 70 |     BOOKMARK_FILE_TMP.rename(BOOKMARK_FILE)
 71 | 
 72 | 
 73 | def main():
 74 |     parser = argparse.ArgumentParser(description="Mastodon CLI Application")
 75 |     subparsers = parser.add_subparsers(dest="command", help="Sub-commands")
 76 | 
 77 |     # Sub-command: login
 78 |     login_parser = subparsers.add_parser(
 79 |         "login", help="Register and log in to Mastodon"
 80 |     )
 81 |     login_parser.add_argument(
 82 |         "--client-cred-file",
 83 |         type=str,
 84 |         default=CLIENT_SECRETS_FILE,
 85 |         help="File to save client credentials",
 86 |     )
 87 |     login_parser.add_argument(
 88 |         "--user-cred-file",
 89 |         type=str,
 90 |         default=USER_SECRETS_FILE,
 91 |         help="File to save user credentials",
 92 |     )
 93 | 
 94 |     # Sub-command: ingest
 95 |     ingest_parser = subparsers.add_parser(
 96 |         "ingest", help="Ingest bookmarks from Mastodon into the search app"
 97 |     )
 98 | 
 99 |     args = parser.parse_args()
100 | 
101 |     if args.command == "login":
102 |         try:
103 |             base_url = input("Enter the base URL of the Mastodon instance: ")
104 |             email = input("Enter your email address: ")
105 |             password = getpass.getpass("Enter your password: ")
106 |         except KeyboardInterrupt:
107 |             print("\nAborting")
108 |             return
109 | 
110 |         register_app(base_url, args.client_cred_file)
111 |         login(base_url, args.client_cred_file, args.user_cred_file, email, password)
112 |     elif args.command == "ingest":
113 |         ingest()
114 |     else:
115 |         parser.print_help()
116 | 
117 | 
118 | if __name__ == "__main__":
119 |     main()
120 | 


--------------------------------------------------------------------------------
/pyproject.toml:
--------------------------------------------------------------------------------
 1 | [project]
 2 | name = "mastodon-bookmark-search"
 3 | version = "0.1.0"
 4 | description = "A simple web application to search and explore your Mastodon bookmarks"
 5 | readme = "README.md"
 6 | requires-python = ">=3.10"
 7 | dependencies = [
 8 |     "bertopic>=0.16.3",
 9 |     "bleach>=6.1.0",
10 |     "llvmlite>=0.43.0",
11 |     "mastodon-py>=1.8.1",
12 |     "polars>=1.6.0",
13 |     "streamlit>=1.38.0",
14 | ]
15 | 


--------------------------------------------------------------------------------
/requirements-dev.lock:
--------------------------------------------------------------------------------
  1 | # generated by rye
  2 | # use `rye lock` or `rye sync` to update this lockfile
  3 | #
  4 | # last locked with the following flags:
  5 | #   pre: false
  6 | #   features: []
  7 | #   all-features: false
  8 | 
  9 | -e file:.
 10 | altair==5.2.0
 11 | anyio==4.3.0
 12 | argon2-cffi==23.1.0
 13 | argon2-cffi-bindings==21.2.0
 14 | arrow==1.3.0
 15 | asttokens==2.4.1
 16 | async-lru==2.0.4
 17 | attrs==23.2.0
 18 | babel==2.14.0
 19 | beautifulsoup4==4.12.3
 20 | bertopic==0.16.0
 21 | bleach==6.1.0
 22 | blinker==1.7.0
 23 | blurhash==1.1.4
 24 | cachetools==5.3.2
 25 | certifi==2023.11.17
 26 | cffi==1.16.0
 27 | charset-normalizer==3.3.2
 28 | click==8.1.7
 29 | comm==0.2.1
 30 | cython==0.29.37
 31 | debugpy==1.8.1
 32 | decorator==5.1.1
 33 | defusedxml==0.7.1
 34 | executing==2.0.1
 35 | fastjsonschema==2.19.1
 36 | filelock==3.13.1
 37 | fqdn==1.5.1
 38 | fsspec==2024.2.0
 39 | gitdb==4.0.11
 40 | gitpython==3.1.41
 41 | h11==0.14.0
 42 | hdbscan==0.8.33
 43 | httpcore==1.0.4
 44 | httpx==0.27.0
 45 | huggingface-hub==0.21.3
 46 | idna==3.6
 47 | importlib-metadata==7.0.1
 48 | ipykernel==6.29.3
 49 | ipython==8.22.2
 50 | isoduration==20.11.0
 51 | jedi==0.19.1
 52 | jinja2==3.1.3
 53 | joblib==1.3.2
 54 | json5==0.9.22
 55 | jsonpointer==2.4
 56 | jsonschema==4.21.1
 57 | jsonschema-specifications==2023.12.1
 58 | jupyter-client==8.6.0
 59 | jupyter-core==5.7.1
 60 | jupyter-events==0.9.0
 61 | jupyter-lsp==2.2.4
 62 | jupyter-server==2.13.0
 63 | jupyter-server-terminals==0.5.2
 64 | jupyterlab==4.1.4
 65 | jupyterlab-pygments==0.3.0
 66 | jupyterlab-server==2.25.3
 67 | llvmlite==0.42.0
 68 | markdown-it-py==3.0.0
 69 | markupsafe==2.1.5
 70 | mastodon-py==1.8.1
 71 | matplotlib-inline==0.1.6
 72 | mdurl==0.1.2
 73 | mistune==3.0.2
 74 | mpmath==1.3.0
 75 | nbclient==0.9.0
 76 | nbconvert==7.16.2
 77 | nbformat==5.9.2
 78 | nest-asyncio==1.6.0
 79 | networkx==3.2.1
 80 | notebook-shim==0.2.4
 81 | numba==0.59.0
 82 | numpy==1.26.4
 83 | nvidia-cublas-cu12==12.1.3.1
 84 | nvidia-cuda-cupti-cu12==12.1.105
 85 | nvidia-cuda-nvrtc-cu12==12.1.105
 86 | nvidia-cuda-runtime-cu12==12.1.105
 87 | nvidia-cudnn-cu12==8.9.2.26
 88 | nvidia-cufft-cu12==11.0.2.54
 89 | nvidia-curand-cu12==10.3.2.106
 90 | nvidia-cusolver-cu12==11.4.5.107
 91 | nvidia-cusparse-cu12==12.1.0.106
 92 | nvidia-nccl-cu12==2.19.3
 93 | nvidia-nvjitlink-cu12==12.3.101
 94 | nvidia-nvtx-cu12==12.1.105
 95 | overrides==7.7.0
 96 | packaging==23.2
 97 | pandas==2.2.0
 98 | pandocfilters==1.5.1
 99 | parso==0.8.3
100 | pexpect==4.9.0
101 | pillow==10.2.0
102 | platformdirs==4.2.0
103 | plotly==5.19.0
104 | polars==0.20.7
105 | prometheus-client==0.20.0
106 | prompt-toolkit==3.0.43
107 | protobuf==4.25.2
108 | psutil==5.9.8
109 | ptyprocess==0.7.0
110 | pure-eval==0.2.2
111 | pyarrow==15.0.0
112 | pycparser==2.21
113 | pydeck==0.8.1b0
114 | pygments==2.17.2
115 | pynndescent==0.5.11
116 | python-dateutil==2.8.2
117 | python-json-logger==2.0.7
118 | python-magic==0.4.27
119 | pytz==2024.1
120 | pyyaml==6.0.1
121 | pyzmq==25.1.2
122 | referencing==0.33.0
123 | regex==2023.12.25
124 | requests==2.31.0
125 | rfc3339-validator==0.1.4
126 | rfc3986-validator==0.1.1
127 | rich==13.7.0
128 | rpds-py==0.17.1
129 | safetensors==0.4.2
130 | scikit-learn==1.4.1.post1
131 | scipy==1.12.0
132 | send2trash==1.8.2
133 | sentence-transformers==2.5.1
134 | six==1.16.0
135 | smmap==5.0.1
136 | sniffio==1.3.1
137 | soupsieve==2.5
138 | stack-data==0.6.3
139 | streamlit==1.31.1
140 | sympy==1.12
141 | tenacity==8.2.3
142 | terminado==0.18.0
143 | threadpoolctl==3.3.0
144 | tinycss2==1.2.1
145 | tokenizers==0.15.2
146 | toml==0.10.2
147 | toolz==0.12.1
148 | torch==2.2.1
149 | tornado==6.4
150 | tqdm==4.66.2
151 | traitlets==5.14.1
152 | transformers==4.38.2
153 | types-python-dateutil==2.8.19.20240106
154 | typing-extensions==4.9.0
155 | tzdata==2024.1
156 | tzlocal==5.2
157 | umap-learn==0.5.5
158 | uri-template==1.3.0
159 | urllib3==2.1.0
160 | validators==0.22.0
161 | watchdog==4.0.0
162 | wcwidth==0.2.13
163 | webcolors==1.13
164 | webencodings==0.5.1
165 | websocket-client==1.7.0
166 | zipp==3.17.0
167 | 


--------------------------------------------------------------------------------
/requirements.lock:
--------------------------------------------------------------------------------
  1 | # generated by rye
  2 | # use `rye lock` or `rye sync` to update this lockfile
  3 | #
  4 | # last locked with the following flags:
  5 | #   pre: false
  6 | #   features: []
  7 | #   all-features: false
  8 | 
  9 | -e file:.
 10 | altair==5.2.0
 11 | attrs==23.2.0
 12 | bertopic==0.16.0
 13 | bleach==6.1.0
 14 | blinker==1.7.0
 15 | blurhash==1.1.4
 16 | cachetools==5.3.2
 17 | certifi==2023.11.17
 18 | charset-normalizer==3.3.2
 19 | click==8.1.7
 20 | cython==0.29.37
 21 | decorator==5.1.1
 22 | filelock==3.13.1
 23 | fsspec==2024.2.0
 24 | gitdb==4.0.11
 25 | gitpython==3.1.41
 26 | hdbscan==0.8.33
 27 | huggingface-hub==0.21.3
 28 | idna==3.6
 29 | importlib-metadata==7.0.1
 30 | jinja2==3.1.3
 31 | joblib==1.3.2
 32 | jsonschema==4.21.1
 33 | jsonschema-specifications==2023.12.1
 34 | llvmlite==0.42.0
 35 | markdown-it-py==3.0.0
 36 | markupsafe==2.1.5
 37 | mastodon-py==1.8.1
 38 | mdurl==0.1.2
 39 | mpmath==1.3.0
 40 | networkx==3.2.1
 41 | numba==0.59.0
 42 | numpy==1.26.4
 43 | nvidia-cublas-cu12==12.1.3.1
 44 | nvidia-cuda-cupti-cu12==12.1.105
 45 | nvidia-cuda-nvrtc-cu12==12.1.105
 46 | nvidia-cuda-runtime-cu12==12.1.105
 47 | nvidia-cudnn-cu12==8.9.2.26
 48 | nvidia-cufft-cu12==11.0.2.54
 49 | nvidia-curand-cu12==10.3.2.106
 50 | nvidia-cusolver-cu12==11.4.5.107
 51 | nvidia-cusparse-cu12==12.1.0.106
 52 | nvidia-nccl-cu12==2.19.3
 53 | nvidia-nvjitlink-cu12==12.3.101
 54 | nvidia-nvtx-cu12==12.1.105
 55 | packaging==23.2
 56 | pandas==2.2.0
 57 | pillow==10.2.0
 58 | plotly==5.19.0
 59 | polars==0.20.7
 60 | protobuf==4.25.2
 61 | pyarrow==15.0.0
 62 | pydeck==0.8.1b0
 63 | pygments==2.17.2
 64 | pynndescent==0.5.11
 65 | python-dateutil==2.8.2
 66 | python-magic==0.4.27
 67 | pytz==2024.1
 68 | pyyaml==6.0.1
 69 | referencing==0.33.0
 70 | regex==2023.12.25
 71 | requests==2.31.0
 72 | rich==13.7.0
 73 | rpds-py==0.17.1
 74 | safetensors==0.4.2
 75 | scikit-learn==1.4.1.post1
 76 | scipy==1.12.0
 77 | sentence-transformers==2.5.1
 78 | six==1.16.0
 79 | smmap==5.0.1
 80 | streamlit==1.31.1
 81 | sympy==1.12
 82 | tenacity==8.2.3
 83 | threadpoolctl==3.3.0
 84 | tokenizers==0.15.2
 85 | toml==0.10.2
 86 | toolz==0.12.1
 87 | torch==2.2.1
 88 | tornado==6.4
 89 | tqdm==4.66.2
 90 | transformers==4.38.2
 91 | typing-extensions==4.9.0
 92 | tzdata==2024.1
 93 | tzlocal==5.2
 94 | umap-learn==0.5.5
 95 | urllib3==2.1.0
 96 | validators==0.22.0
 97 | watchdog==4.0.0
 98 | webencodings==0.5.1
 99 | zipp==3.17.0
100 | 


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