YouTube_captions_search_engine/README.md

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# The algorithm:
To retrieve the most YouTube video ids in order to retrieve the most video captions, we need to retrieve the most YouTube channels.
So to discover the YouTube channels graph with a breadth-first search, we proceed as follows:
1. Provide a starting set of channels.
2. Given a channel, retrieve other channels thanks to its content by using [YouTube Data API v3](https://developers.google.com/youtube/v3) and [YouTube operational API](https://github.com/Benjamin-Loison/YouTube-operational-API) and then repeat 1. for each retrieved channel.
A ready to be used by the end-user website instance of this project is hosted at: https://crawler.yt.lemnoslife.com
See more details on [the Wiki](https://gitea.lemnoslife.com/Benjamin_Loison/YouTube_captions_search_engine/wiki).
# Running the YouTube graph discovery algorithm:
Because of [the current compression mechanism](https://gitea.lemnoslife.com/Benjamin_Loison/YouTube_captions_search_engine/issues/30), Linux is the only known OS able to run this algorithm.
To install the dependencies on an `apt` based Linux distribution of this project make sure to have [`pip`](https://pip.pypa.io/en/stable/installation/) and run:
```sh
sudo apt install nlohmann-json3-dev
pip install yt-dlp
```
To compile the YouTube discovery graph algorithm, run:
```sh
make
```
To see the command line arguments of the algorithm, run:
```sh
./youtubeCaptionsSearchEngine -h
```
To run the YouTube discovery graph algorithm, run:
```sh
./youtubeCaptionsSearchEngine
```
Except if you provide the argument `--youtube-operational-api-instance-url https://yt.lemnoslife.com`, you have [to host your own instance of the YouTube operational API](https://github.com/Benjamin-Loison/YouTube-operational-API/#install-your-own-instance-of-the-api).
Except if you provide the argument `--no-keys`, you have to provide at least one [YouTube Data API v3 key](https://developers.google.com/youtube/v3/getting-started) in `keys.txt`.
# Hosting the website enabling users to make requests:
To install its dependencies make sure to have [`composer`](https://getcomposer.org/doc/00-intro.md) installed and run:
```sh
composer install
pip install webvtt-py
```
Add the following configuration to your Nginx website one:
```nginx
# Make the default webpage of your website to be `index.php`.
index index.php;
# Allow end-users to retrieve the content of a file within a channel zip.
location /channels {
rewrite ^(.*).zip$ /channels.php;
rewrite ^(.*).zip/(.*).json$ /channels.php;
rewrite ^(.*).zip/(.*).txt$ /channels.php;
rewrite ^(.*).zip/(.*).vtt$ /channels.php;
# Allow end-users to list `channels/` content.
autoindex on;
}
# Disable end-users to access to other end-users requests.
location /users {
deny all;
}
# Configure the websocket endpoint.
location /websocket {
# switch off logging
access_log off;
# redirect all HTTP traffic to localhost
proxy_pass http://localhost:4430;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header Host $host;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
# WebSocket support (nginx 1.4)
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "upgrade";
# timeout extension, possibly keep this short if using a ping strategy
proxy_read_timeout 99999s;
}
```
Start the websocket worker by running:
```sh
php websockets.php
```