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Repository: rberenguel/glancer
Branch: main
Commit: 303d7663c6ae
Files: 15
Total size: 4.9 MB
Directory structure:
gitextract_0swtfc8v/
├── .gitattributes
├── .gitignore
├── LICENSE
├── README.md
├── Setup.hs
├── example/
│ └── internals-pyspark-arrow.html
├── glancer.cabal
├── src/
│ ├── Captions.hs
│ ├── Html.hs
│ ├── Main.hs
│ ├── Parser.hs
│ └── Process.hs
├── stack.yaml
├── test/
│ └── Spec.hs
└── this.code-workspace
================================================
FILE CONTENTS
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FILE: .gitattributes
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* linguist-vendored
*.hs linguist-vendored=false
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FILE: .gitignore
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.stack-work
.hie
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FILE: LICENSE
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Copyright Ruben Berenguel (c) 2021
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above
copyright notice, this list of conditions and the following
disclaimer in the documentation and/or other materials provided
with the distribution.
* Neither the name of Author name here nor the names of other
contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
================================================
FILE: README.md
================================================
# Glancer
> **glancer**:
> NOUN _informal_ a person who glances
> **glance**:
> VERB If you glance at something or someone, you look at them very quickly and then look away again immediately.
> VERB If you glance through or at a newspaper, report, or book, you **spend a short time looking at it without reading it very carefully**.
---
[Regularly updated examples](https://github.com/rberenguel/glances)
---
- [Glancer](#glancer)
- [Installation](#installation)
- [Usage](#usage)
- [Notes and TODOs](#notes-and-todos)
---
The amount of online conferences has skyrocketed lately, I wonder why. This has caused my _Pending to watch_ list to balloon from 30-ish pending technical videos (which are already a lot) to more than 100.
There are then 2 problems:
1. I have too many techie conference videos to watch
2. In a lot of cases I realise halfway through that the subject wasn't that interesting or that I already know the area to be covered.
For a long while I have had a similar problem with written articles. I solved it by:
1. Forcing me to read a substantial amount by [writing a weekly list of the best ones](https://mostlymaths.net/tags/readings/)
2. Brutally stop reading any article that is not good enough to _possibly be_ in that list.
This is easy in writing: you can quickly scan the text and decide if it looks interesting enough for a deep dive in a few seconds (tech article reads range from a few minutes to around half an hour, depending of how technical it may get). But there is no way of doing it in videos! You need to watch maybe 15-20 minutes to then realise "meh".
_Glancer_ should help with this. Given a YouTube url, it will:
- Download the corresponding video (to a temporary folder),
- Download the auto-generated subtitles (assumes English, hardcoded),
- Capture images from the video every N=30 seconds (hardcoded for the moment),
- Convert the images to base64,
- Create a standalone webpage with the screenshots on the left and the corresponding text on the right.
The goal is to be able to glance at the talk to decide if you really want to watch it or not. The _standalone_ part of the created webpage is to make it easier to "watch"/"share" to my iPad/iPhone without having to move a folder full of images. The whole talk becomes just a 5-15 Mb HTML file.
A couple of additional neat (for me at least) features:
- Clicking/tapping on the image will enlarge it, in case you want to see some code block larger (I wanted hover, but it was too tricky on mobile).
- Clicking on the arrow on the lower-right of the slid block will open the video on Youtube, at that moment in time.
## Installation
```bash
git clone https://github.com/rberenguel/glancer
cd glancer
stack install
```
You will need to have installed/available in the path:
- The `base64` executable (should be in all IX systems by default)
- `cat` in `/bin/cat` (likewise)
- [`yt-dlp`](https://github.com/yt-dlp/yt-dlp) installed. Note the _p_. There is currently a bug in the normal one with downloading auto-generated subtitles (again, this also happened a long time ago).
- The [stack](https://docs.haskellstack.org/en/stable/install_and_upgrade/) Haskell build tool
## Usage
```
Usage: glancer URL FILEPATH
Glancer
Available options:
URL Youtube URL
FILEPATH HTML file name (don't add extension)
-h,--help Show this help text
```
In other words, `glancer https://www.youtube.com/watch?v=JWQxd3YKWhs internals-pyspark-arrow` would create the webpage `internals-pyspark-arrow.html` in the current folder, after processing the talk I gave at Spark Summit 2019. You can see the generated file [here](https://www.mostlymaths.net/glancer/example/internals-pyspark-arrow.html).
Sometimes `youtube-dlc` won't be able to find the embedded youtube video (I've seen this happen randomly in Spark Summit North America 2020 videos in databricks.com), in this case the process will fail. Try to feed it youtube urls directly.
## Notes and TODOs
- [ ] Making the time between images customizable via the CLI (if I find out 30 is not good enough in general).
- [ ] Add a test suite to harden subtitle parsing. I always think parsers will be small enough and that it will be "obvious" they work. It's never the case, at least I did it [right](https://github.com/rberenguel/haskset/blob/master/test/Spec.hs) [twice](https://github.com/rberenguel/bear-note-graph/blob/master/tests/test_parser.py).
- [ ] Make the still images video-dependent (so several `glancer` commands can run concurrently, even if it's a bad idea)
- [x] ~Some additional tweaks to the HTML/CSS (possibly adding some JS as well)~
## Similar projects
### [natural-language-youtube-search](https://github.com/haltakov/natural-language-youtube-search)
This project downloads the YouTube video, extracts every N-th frame and uses neural networks to classify the content of each slide, allowing you to search by text. Impressive!
---
_Note_: This README is long and winding on purpose.
================================================
FILE: Setup.hs
================================================
import Distribution.Simple
main = defaultMain
================================================
FILE: example/internals-pyspark-arrow.html
================================================
<!doctype html>
<html>
<head>
<style>
html {
font-family: monoidregular;
}
h1 {
text-align: center;
margin-bottom: 0;
}
h3 {
float: right;
font-size: 80%;
}
a {
color: darkgreen;
text-decoration: none;
}
a:hover {
text-decoration: underline;
}
#container {
padding: 3%;
margin: auto;
width: 96%;
}
.to-video {
font-size: 30px;
float: right;
align-self: flex-end;
display: inline-block;
vertical-align: bottom;
}
.slide-block {
margin-top:1%;
border: 1px solid black;
border-radius: 3px;
display: flex;
width: 100%;
}
.img {
transform:scale(1.0) translate(0%);
transition: transform 1.2s ease, border 0.1s ease;
padding: 1%;
height: 1%;
width: 65%;
display: inline-block;
}
.active {
padding: 5px;
transform:scale(1.45) translate(17%);
border: 1px solid black;
background: rgba(255, 255, 255, 0.4);
-webkit-backdrop-filter: blur(10px);
backdrop-filter: blur(10px);
z-index: 1000;
border-radius: 3px;
}
img {
max-width: 100%;
max-height: 100%;
}
.txt {
margin-left: 1%;
line-height: 1.5;
width: 29%;
display: inline-block;
font-size: 22px;
font-family: Arial;
vertical-align: top;
margin-top: 1%;
}
@font-face {
font-family: "monoidregular";
src: url("data:font/woff2;base64, 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<h1><a href='https://www.youtube.com/watch?v=JWQxd3YKWhs
'>Internals of Speeding up PySpark with Arrow - Ruben Berenguel (Consultant)
</a></h1>
<h3>Created with <a href='https://github.com/rberenguel/glancer'>glancer</a></h3>
<div id='slide1'class='slide-block'>
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'/></a>
</div>
<div class='txt'>
a lot of people here are you're working
with a spark
right your hands yeah it's nice so I
will start with what is pandas but if
you are working with Python you probably
already know this one then what is our
role this may be Neil or maybe it's not
Neil then a bit of how this part works I
mean we are in sparks emits so probably
you all know this but it's always good
to remind how the pieces fit together
</div><div class='to-video'><a title='Go to video at timestamp 0s'href='https://www.youtube.com/watch?v=JWQxd3YKWhs
&t=0s'>⇰</a></div></div>
<div id='slide2'class='slide-block'>
<div class='img'>
<img src='data:image/jpeg;base64, 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'/></a>
</div>
<div class='txt'>
to remind how the pieces fit together
because I when I explained how Pais part
works because maybe you don't know that
one it useful and then finally I'll
cover how our row is making a pie spark
way way faster so I'm Ruben a
mathematician I work as a consultant
from advertising company and I think
writing Python for something like 15
years I mean I don't know an amp I
didn't exist back then then I move to
other languages but I still write a lot
of Python day-to-day scale and Python
</div><div class='to-video'><a title='Go to video at timestamp 30s'href='https://www.youtube.com/watch?v=JWQxd3YKWhs
&t=30s'>⇰</a></div></div>
<div id='slide3'class='slide-block'>
<div class='img'>
<img src='data:image/jpeg;base64, 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gitextract_0swtfc8v/ ├── .gitattributes ├── .gitignore ├── LICENSE ├── README.md ├── Setup.hs ├── example/ │ └── internals-pyspark-arrow.html ├── glancer.cabal ├── src/ │ ├── Captions.hs │ ├── Html.hs │ ├── Main.hs │ ├── Parser.hs │ └── Process.hs ├── stack.yaml ├── test/ │ └── Spec.hs └── this.code-workspace
Condensed preview — 15 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (5,092K chars).
[
{
"path": ".gitattributes",
"chars": 49,
"preview": "* linguist-vendored\n*.hs linguist-vendored=false\n"
},
{
"path": ".gitignore",
"chars": 17,
"preview": ".stack-work\n.hie\n"
},
{
"path": "LICENSE",
"chars": 1527,
"preview": "Copyright Ruben Berenguel (c) 2021\n\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or wit"
},
{
"path": "README.md",
"chars": 5036,
"preview": "# Glancer\n\n> **glancer**:\n\n> NOUN _informal_ a person who glances\n\n> **glance**:\n\n> VERB If you glance at something or s"
},
{
"path": "Setup.hs",
"chars": 46,
"preview": "import Distribution.Simple\nmain = defaultMain\n"
},
{
"path": "example/internals-pyspark-arrow.html",
"chars": 5035724,
"preview": "\n<!doctype html>\n<html>\n\n<head>\n <style>\n html {\n font-family: monoidregular;\n }\n\n h1"
},
{
"path": "glancer.cabal",
"chars": 1377,
"preview": "cabal-version: 2.2\nname: glancer\nversion: 0.1.0.0\n-- synopsis:\n-- description:\nhomepage"
},
{
"path": "src/Captions.hs",
"chars": 4064,
"preview": "{-# LANGUAGE OverloadedStrings #-}\n\nmodule Captions where\n\nimport Data.Coerce (coerce)\nimport Data.Foldable (Foldable (t"
},
{
"path": "src/Html.hs",
"chars": 28407,
"preview": "{-# LANGUAGE OverloadedStrings #-}\n{-# LANGUAGE QuasiQuotes #-}\n\nmodule Html where\n\nimport qualified Data.Text as T\nimpo"
},
{
"path": "src/Main.hs",
"chars": 2006,
"preview": "{-# LANGUAGE OverloadedStrings #-}\n\nmodule Main where\n\nimport Captions (convertToHTML)\nimport Data.Coerce (coerce)\nimpor"
},
{
"path": "src/Parser.hs",
"chars": 1974,
"preview": "{-# LANGUAGE OverloadedStrings #-}\n\nmodule Parser where\n\nimport Control.Monad (void)\nimport qualified Data.Text as T\nimp"
},
{
"path": "src/Process.hs",
"chars": 3472,
"preview": "{-# LANGUAGE OverloadedStrings #-}\n\nmodule Process where\n\nimport Control.Monad (replicateM)\nimport qualified Data.ByteSt"
},
{
"path": "stack.yaml",
"chars": 2120,
"preview": "# This file was automatically generated by 'stack init'\n#\n# Some commonly used options have been documented as comments "
},
{
"path": "test/Spec.hs",
"chars": 1259,
"preview": "{-# LANGUAGE OverloadedStrings #-}\n{-# LANGUAGE QuasiQuotes #-}\n\nimport Data.Text (pack)\nimport qualified Parser as P\nim"
},
{
"path": "this.code-workspace",
"chars": 115,
"preview": "{\n\t\"folders\": [\n\t\t{\n\t\t\t\"path\": \".\"\n\t\t}\n\t],\n\t\"settings\": {\n\t\t\"files.watcherExclude\": {\n\t\t\t\"**/target\": true\n\t\t}\n\t}\n}"
}
]
About this extraction
This page contains the full source code of the rberenguel/glancer GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 15 files (4.9 MB), approximately 1.3M tokens. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.