Awesome
hors
Awesome program howdoi which implemented in rust, along with easily usage lib.
It's faster than the original howdoi program.
For binary usage, please go through the rest of this file. For lib documentation, please check here.
Screenshot
Simple usage example
More examples
Installation
hors is written in Rust
. The recommended way to install hors
is through cargo
.
cargo install hors
On Windows/Linux/macOS platform, you can download the pre-build-binary from github release page
On macOS
Hors can be installed from homebrew.
brew tap hors-org/hors && brew install hors
On Windows
Hors can be installed from scoop
scoop bucket add w-bucket https://github.com/hors-org/w-bucket; scoop install hors
What make it fast
- Implemented in rust, which causes less runtime overhead.
- Make use of tokio concurrent feature, so hors will make concurrent search when it need to fetch more than 1 answer.
- Output will be cache, and when you want to search for the same question, hors will likely make less network traffic to get the answer.
Here is a simple benchmark report, run the following command 3 times in my personal computer:
time hors mysql create table with column comment -a -n 10 --paging never -e bing
rm ~/Library/Caches/hors/answers
Note: run rm
command is aimed to clear local cache.
And it gives me the following output:
Executed in 2.55 secs fish external
usr time 232.71 millis 150.00 micros 232.56 millis
sys time 16.68 millis 562.00 micros 16.12 millis
Executed in 3.68 secs fish external
usr time 252.02 millis 125.00 micros 251.90 millis
sys time 19.18 millis 550.00 micros 18.63 millis
Executed in 2.55 secs fish external
usr time 237.19 millis 117.00 micros 237.07 millis
sys time 17.63 millis 565.00 micros 17.06 millis
Run the same command with howdoi:
time howdoi mysql create table with column comment -a -n 4 -e bing -c
rm ~/Library/Caches/howdoi/*
Note: run rm
command is aimed to clear howdoi local cache.
And it gives me the following output:
Executed in 3.48 secs fish external
usr time 303.67 millis 127.00 micros 303.54 millis
sys time 52.53 millis 601.00 micros 51.93 millis
Executed in 3.65 secs fish external
usr time 305.37 millis 111.00 micros 305.26 millis
sys time 53.16 millis 549.00 micros 52.61 millis
Executed in 3.34 secs fish external
usr time 319.07 millis 14.24 millis 304.83 millis
sys time 55.63 millis 3.37 millis 52.26 millis
But please note that this simple benchmark is not precise, it highly depends on network information.
Tested platforms
For now, hors
has been tested with the following platforms:
- Linux
- OSX
- Windows
Usage
USAGE:
hors [FLAGS] [OPTIONS] [query]...
ARGS:
<query>...
FLAGS:
-a, --all display the full text of answer.
--clear-cache just clear local hors cache.
-d, --disable-proxy Disable system proxy.
-h, --help Prints help information
-l, --link display only the answer link.
-r, --raw make raw output (not colorized).
-V, --version Prints version information
OPTIONS:
-e, --engine <engine> select middle search engine, currently support `bing`, `google`,
`duckduckgo`, `stackoverflow`. [env: HORS_ENGINE=bing] [default:
duckduckgo]
-n, --number-answers <number-answers> number of answers to return. [default: 1]
-p, --paging <paging> specify how to page output, can be `auto`, `never` [default: auto]
Usage example
- Want to know how to export pandas dataframe to csv?
hors pandas dataframe to csv
Here it is:
- Answer from https://stackoverflow.com/questions/16923281/pandas-writing-dataframe-to-csv-file
df.to_csv(file_name, sep='\t')
- If we just want to know where is the answer existed?
hors pandas dataframe to csv -l
Here it is:
Title - pandas writing dataframe to csv file
https://stackoverflow.com/questions/16923281/pandas-writing-dataframe-to-csv-file
- If we want more about the answer detailed?
hors how to parse json in rust -a
Here it is:
- Answer from https://stackoverflow.com/questions/30292752/how-do-i-parse-a-json-file
Solved by the many helpful members of the Rust community:
extern crate rustc_serialize;
use rustc_serialize::json::Json;
use std::fs::File;
use std::io::Read;
fn main() {
let mut file = File::open("text.json").unwrap();
let mut data = String::new();
file.read_to_string(&mut data).unwrap();
let json = Json::from_str(&data).unwrap();
println!("{}", json.find_path(&["Address", "Street"]).unwrap());
}
- How to get more than one answers
hors set git remote url -n 2 -a
Here it is:
- Answer from https://stackoverflow.com/questions/2432764/how-to-change-the-uri-url-for-a-remote-git-repository
You can
git remote set-url origin new.git.url/here
(see git help remote) or you can just edit .git/config and change the URLs there. You're not in any danger of losing history unless you do something very silly (and if you're worried, just make a copy of your repo, since your repo is your history.)
^_^ ==================================================== ^_^
- Answer from https://stackoverflow.com/questions/42830557/git-remote-add-origin-vs-remote-set-url-origin
below is used to a add a new remote:
git remote add origin git@github.com:User/UserRepo.git
below is used to change the url of an existing remote repository:
git remote set-url origin git@github.com:User/UserRepo.git
below will push your code to the master branch of the remote repository defined with origin and -u let you point your current local branch to the remote master branch:
git push -u origin master
Documentation
- The default search engine is bing, how can I use other search engine?
hors set git remote url -n 2 -a -e "google"
Proxy support
If the network seems blocked, you can try to configure proxy like this:
export http_proxy=http://127.0.0.1:1087;export https_proxy=http://127.0.0.1:1087;
Of course, it should be a valid proxy in your machine.
Paging feature on windows
Hors is using less
command to make paging feature work, and it's not installed on Windows by default. You can use scoop to install less
scoop install less
Or use choco
:
choco install less
Use hors as lib
Hors can be used as a lib, here is an example:
use std::str::FromStr;
use hors::{self, SearchEngine};
let search_engine: SearchEngine = SearchEngine::from_str("bing").unwrap();
let target_links: Vec<String> = hors::search_links(
"how to parse json in rust",
search_engine,
)
.await
.unwrap();
assert_ne!(target_links.len(), 0);
for link in target_links {
assert!(link.contains("stackoverflow.com"));
}
For more information, please check the documentation
Special thanks
Very thanks for the awesome project and links :)
- howdoi inspires
hors
(Fow nowhors
ishowdoi
which implements inrust
). - stackoverflow helps users solve questions about coding.
About the name
hors
is the abbreviation of howdoi in rust
.