Awesome  Rust

Awesome Rust

1653958215

Arangors: Easy to Use Rust Driver for ArangoDB

arangors

arangors is an intuitive rust client for ArangoDB, inspired by pyArango.

arangors enables you to connect with ArangoDB server, access to database, execute AQL query, manage ArangoDB in an easy and intuitive way, both async and plain synchronous code with any HTTP ecosystem you love.

Philosophy of arangors

arangors is targeted at ergonomic, intuitive and OOP-like API for ArangoDB, both top level and low level API for users' choice.

Overall architecture of ArangoDB:

databases -> collections -> documents/edges

In fact, the design of arangors just mimic this architecture, with a slight difference that in the top level, there is a connection object on top of databases, containing a HTTP client with authentication information in HTTP headers.

Hierarchy of arangors:

connection -> databases -> collections -> documents/edges

Features

By now, the available features of arangors are:

  • make connection to ArangoDB
  • get list of databases and collections
  • fetch database and collection info
  • create and delete database or collections
  • full featured AQL query
  • support both async and sync

TODO

(Done) Milestone 0.1.x

Synchronous connection based on reqwest and full featured AQL query.

(X) Milestone 0.2.x

Fill the unimplemented API in Connection, Database, Collection and Document.

In this stage, all operations available for database, collection and document should be implemented.

Well, I am too lazy to fill all API, as the AQL syntax suffices in most cases. Maybe fulfill this goal in 0.4.x .

(Done) Milestone 0.3.x

Implement both sync and async client. Also, offers a way to use custom HTTP client ecosystem.

(WIP) Milestone 1.0.x

Provides the API related to:

  • (X) Graph Management
  • (X) Index Management
  • ( ) User Management

Glance

Use Different HTTP Ecosystem, Regardless of Async or Sync

You can switch to different HTTP ecosystem with a feature gate, or implement the Client yourself (see examples).

Currently out-of-box supported ecosystem are:

  • reqwest_async
  • reqwest_blocking
  • surf_async

By default, arangors use reqwest_async as underling HTTP Client to connect with ArangoDB. You can switch other ecosystem in feature gate:

[dependencies]
arangors = { version = "0.4", features = ["surf_async"], default-features = false }

Or if you want to stick with other ecosystem that are not listed in the feature gate, you can get vanilla arangors without any HTTP client dependency:

[dependencies]
## This one is async
arangors = { version = "0.4", default-features = false }
## This one is synchronous
arangors = { version = "0.4", features = ["blocking"], default-features = false }

Thanks to maybe_async, arangors can unify sync and async API and toggle with a feature gate. Arangors adopts async first policy.

Connection

There is three way to establish connections:

  • jwt
  • basic auth
  • no authentication

So are the arangors API.

Example:

  • With authentication
use arangors::Connection;

// (Recommended) Handy functions
let conn = Connection::establish_jwt("http://localhost:8529", "username", "password")
    .await
    .unwrap();
let conn = Connection::establish_basic_auth("http://localhost:8529", "username", "password")
    .await
    .unwrap();
  • Without authentication, only use in evaluation setting
let conn = Connection::establish_without_auth("http://localhost:8529").await.unwrap();

Database && Collection

use arangors::Connection;

let db = conn.db("test_db").await.unwrap();
let collection = db.collection("test_collection").await.unwrap();

AQL Query

All AQL query related functions are associated with database, as AQL query is performed at database level.

There are several way to execute AQL query, and can be categorized into two classes:

batch query with cursor

  • aql_query_batch
  • aql_next_batch

query to fetch all results

  • aql_str
  • aql_bind_vars
  • aql_query

This later ones provide a convenient high level API, whereas batch queries offer more control.

Typed or Not Typed

Note that results from ArangoDB server, e.x. fetched documents, can be strong typed given deserializable struct, or arbitrary JSON object with serde::Value.


#[derive(Deserialize, Debug)]
struct User {
    pub username: String,
    pub password: String,
}

// Typed
let resp: Vec<User> = db
    .aql_str("FOR u IN test_collection RETURN u")
    .await
    .unwrap();
// Not typed: Arbitrary JSON objects
let resp: Vec<serde_json::Value> = db
    .aql_str("FOR u IN test_collection RETURN u")
    .await
    .unwrap();

Batch query

arangors offers a way to manually handle batch query.

Use aql_query_batch to get a cursor, and use aql_next_batch to fetch next batch and update cursor with the cursor.



let aql = AqlQuery::builder()
    .query("FOR u IN @@collection LIMIT 3 RETURN u")
    .bind_var("@collection", "test_collection")
    .batch_size(1)
    .count(true)
    .build();

// fetch the first cursor
let mut cursor = db.aql_query_batch(aql).await.unwrap();
// see metadata in cursor
println!("count: {:?}", cursor.count);
println!("cached: {}", cursor.cached);
let mut results: Vec<serde_json::Value> = Vec::new();
loop {
    if cursor.more {
        let id = cursor.id.unwrap().clone();
        // save data
        results.extend(cursor.result.into_iter());
        // update cursor
        cursor = db.aql_next_batch(id.as_str()).await.unwrap();
    } else {
        break;
    }
}
println!("{:?}", results);

Fetch All Results

There are three functions for AQL query that fetch all results from ArangoDB. These functions internally fetch batch results one after another to get all results.

The functions for fetching all results are listed as bellow:

aql_str

This function only accept a AQL query string.

Here is an example of strong typed query result with aql_str:


#[derive(Deserialize, Debug)]
struct User {
    pub username: String,
    pub password: String,
}

let result: Vec<User> = db
    .aql_str(r#"FOR i in test_collection FILTER i.username=="test2" return i"#)
    .await
    .unwrap();

aql_bind_vars

This function can be used to start a AQL query with bind variables.

use arangors::{Connection, Document};

#[derive(Serialize, Deserialize, Debug)]
struct User {
    pub username: String,
    pub password: String,
}


let mut vars = HashMap::new();
let user = User {
    username: "test".to_string(),
    password: "test_pwd".to_string(),
};
vars.insert("user", serde_json::value::to_value(&user).unwrap());
let result: Vec<Document<User>> = db
    .aql_bind_vars(r#"FOR i in test_collection FILTER i==@user return i"#, vars)
    .await
    .unwrap();

aql_query

This function offers all the options available to tweak a AQL query. Users have to construct a AqlQuery object first. And AqlQuery offer all the options needed to tweak AQL query. You can set batch size, add bind vars, limit memory, and all others options available.

use arangors::{AqlQuery, Connection, Cursor, Database};
use serde_json::value::Value;


let aql = AqlQuery::builder()
    .query("FOR u IN @@collection LIMIT 3 RETURN u")
    .bind_var("@collection", "test_collection")
    .batch_size(1)
    .count(true)
    .build();

let resp: Vec<Value> = db.aql_query(aql).await.unwrap();
println!("{:?}", resp);

Contributing

Contributions and feed back are welcome following Github workflow.

Download Details:
Author: fMeow
Source Code: https://github.com/fMeow/arangors
License: MIT license

#rust  #database 

What is GEEK

Buddha Community

Arangors: Easy to Use Rust Driver for ArangoDB
Chloe  Butler

Chloe Butler

1667425440

Pdf2gerb: Perl Script Converts PDF Files to Gerber format

pdf2gerb

Perl script converts PDF files to Gerber format

Pdf2Gerb generates Gerber 274X photoplotting and Excellon drill files from PDFs of a PCB. Up to three PDFs are used: the top copper layer, the bottom copper layer (for 2-sided PCBs), and an optional silk screen layer. The PDFs can be created directly from any PDF drawing software, or a PDF print driver can be used to capture the Print output if the drawing software does not directly support output to PDF.

The general workflow is as follows:

  1. Design the PCB using your favorite CAD or drawing software.
  2. Print the top and bottom copper and top silk screen layers to a PDF file.
  3. Run Pdf2Gerb on the PDFs to create Gerber and Excellon files.
  4. Use a Gerber viewer to double-check the output against the original PCB design.
  5. Make adjustments as needed.
  6. Submit the files to a PCB manufacturer.

Please note that Pdf2Gerb does NOT perform DRC (Design Rule Checks), as these will vary according to individual PCB manufacturer conventions and capabilities. Also note that Pdf2Gerb is not perfect, so the output files must always be checked before submitting them. As of version 1.6, Pdf2Gerb supports most PCB elements, such as round and square pads, round holes, traces, SMD pads, ground planes, no-fill areas, and panelization. However, because it interprets the graphical output of a Print function, there are limitations in what it can recognize (or there may be bugs).

See docs/Pdf2Gerb.pdf for install/setup, config, usage, and other info.


pdf2gerb_cfg.pm

#Pdf2Gerb config settings:
#Put this file in same folder/directory as pdf2gerb.pl itself (global settings),
#or copy to another folder/directory with PDFs if you want PCB-specific settings.
#There is only one user of this file, so we don't need a custom package or namespace.
#NOTE: all constants defined in here will be added to main namespace.
#package pdf2gerb_cfg;

use strict; #trap undef vars (easier debug)
use warnings; #other useful info (easier debug)


##############################################################################################
#configurable settings:
#change values here instead of in main pfg2gerb.pl file

use constant WANT_COLORS => ($^O !~ m/Win/); #ANSI colors no worky on Windows? this must be set < first DebugPrint() call

#just a little warning; set realistic expectations:
#DebugPrint("${\(CYAN)}Pdf2Gerb.pl ${\(VERSION)}, $^O O/S\n${\(YELLOW)}${\(BOLD)}${\(ITALIC)}This is EXPERIMENTAL software.  \nGerber files MAY CONTAIN ERRORS.  Please CHECK them before fabrication!${\(RESET)}", 0); #if WANT_DEBUG

use constant METRIC => FALSE; #set to TRUE for metric units (only affect final numbers in output files, not internal arithmetic)
use constant APERTURE_LIMIT => 0; #34; #max #apertures to use; generate warnings if too many apertures are used (0 to not check)
use constant DRILL_FMT => '2.4'; #'2.3'; #'2.4' is the default for PCB fab; change to '2.3' for CNC

use constant WANT_DEBUG => 0; #10; #level of debug wanted; higher == more, lower == less, 0 == none
use constant GERBER_DEBUG => 0; #level of debug to include in Gerber file; DON'T USE FOR FABRICATION
use constant WANT_STREAMS => FALSE; #TRUE; #save decompressed streams to files (for debug)
use constant WANT_ALLINPUT => FALSE; #TRUE; #save entire input stream (for debug ONLY)

#DebugPrint(sprintf("${\(CYAN)}DEBUG: stdout %d, gerber %d, want streams? %d, all input? %d, O/S: $^O, Perl: $]${\(RESET)}\n", WANT_DEBUG, GERBER_DEBUG, WANT_STREAMS, WANT_ALLINPUT), 1);
#DebugPrint(sprintf("max int = %d, min int = %d\n", MAXINT, MININT), 1); 

#define standard trace and pad sizes to reduce scaling or PDF rendering errors:
#This avoids weird aperture settings and replaces them with more standardized values.
#(I'm not sure how photoplotters handle strange sizes).
#Fewer choices here gives more accurate mapping in the final Gerber files.
#units are in inches
use constant TOOL_SIZES => #add more as desired
(
#round or square pads (> 0) and drills (< 0):
    .010, -.001,  #tiny pads for SMD; dummy drill size (too small for practical use, but needed so StandardTool will use this entry)
    .031, -.014,  #used for vias
    .041, -.020,  #smallest non-filled plated hole
    .051, -.025,
    .056, -.029,  #useful for IC pins
    .070, -.033,
    .075, -.040,  #heavier leads
#    .090, -.043,  #NOTE: 600 dpi is not high enough resolution to reliably distinguish between .043" and .046", so choose 1 of the 2 here
    .100, -.046,
    .115, -.052,
    .130, -.061,
    .140, -.067,
    .150, -.079,
    .175, -.088,
    .190, -.093,
    .200, -.100,
    .220, -.110,
    .160, -.125,  #useful for mounting holes
#some additional pad sizes without holes (repeat a previous hole size if you just want the pad size):
    .090, -.040,  #want a .090 pad option, but use dummy hole size
    .065, -.040, #.065 x .065 rect pad
    .035, -.040, #.035 x .065 rect pad
#traces:
    .001,  #too thin for real traces; use only for board outlines
    .006,  #minimum real trace width; mainly used for text
    .008,  #mainly used for mid-sized text, not traces
    .010,  #minimum recommended trace width for low-current signals
    .012,
    .015,  #moderate low-voltage current
    .020,  #heavier trace for power, ground (even if a lighter one is adequate)
    .025,
    .030,  #heavy-current traces; be careful with these ones!
    .040,
    .050,
    .060,
    .080,
    .100,
    .120,
);
#Areas larger than the values below will be filled with parallel lines:
#This cuts down on the number of aperture sizes used.
#Set to 0 to always use an aperture or drill, regardless of size.
use constant { MAX_APERTURE => max((TOOL_SIZES)) + .004, MAX_DRILL => -min((TOOL_SIZES)) + .004 }; #max aperture and drill sizes (plus a little tolerance)
#DebugPrint(sprintf("using %d standard tool sizes: %s, max aper %.3f, max drill %.3f\n", scalar((TOOL_SIZES)), join(", ", (TOOL_SIZES)), MAX_APERTURE, MAX_DRILL), 1);

#NOTE: Compare the PDF to the original CAD file to check the accuracy of the PDF rendering and parsing!
#for example, the CAD software I used generated the following circles for holes:
#CAD hole size:   parsed PDF diameter:      error:
#  .014                .016                +.002
#  .020                .02267              +.00267
#  .025                .026                +.001
#  .029                .03167              +.00267
#  .033                .036                +.003
#  .040                .04267              +.00267
#This was usually ~ .002" - .003" too big compared to the hole as displayed in the CAD software.
#To compensate for PDF rendering errors (either during CAD Print function or PDF parsing logic), adjust the values below as needed.
#units are pixels; for example, a value of 2.4 at 600 dpi = .0004 inch, 2 at 600 dpi = .0033"
use constant
{
    HOLE_ADJUST => -0.004 * 600, #-2.6, #holes seemed to be slightly oversized (by .002" - .004"), so shrink them a little
    RNDPAD_ADJUST => -0.003 * 600, #-2, #-2.4, #round pads seemed to be slightly oversized, so shrink them a little
    SQRPAD_ADJUST => +0.001 * 600, #+.5, #square pads are sometimes too small by .00067, so bump them up a little
    RECTPAD_ADJUST => 0, #(pixels) rectangular pads seem to be okay? (not tested much)
    TRACE_ADJUST => 0, #(pixels) traces seemed to be okay?
    REDUCE_TOLERANCE => .001, #(inches) allow this much variation when reducing circles and rects
};

#Also, my CAD's Print function or the PDF print driver I used was a little off for circles, so define some additional adjustment values here:
#Values are added to X/Y coordinates; units are pixels; for example, a value of 1 at 600 dpi would be ~= .002 inch
use constant
{
    CIRCLE_ADJUST_MINX => 0,
    CIRCLE_ADJUST_MINY => -0.001 * 600, #-1, #circles were a little too high, so nudge them a little lower
    CIRCLE_ADJUST_MAXX => +0.001 * 600, #+1, #circles were a little too far to the left, so nudge them a little to the right
    CIRCLE_ADJUST_MAXY => 0,
    SUBST_CIRCLE_CLIPRECT => FALSE, #generate circle and substitute for clip rects (to compensate for the way some CAD software draws circles)
    WANT_CLIPRECT => TRUE, #FALSE, #AI doesn't need clip rect at all? should be on normally?
    RECT_COMPLETION => FALSE, #TRUE, #fill in 4th side of rect when 3 sides found
};

#allow .012 clearance around pads for solder mask:
#This value effectively adjusts pad sizes in the TOOL_SIZES list above (only for solder mask layers).
use constant SOLDER_MARGIN => +.012; #units are inches

#line join/cap styles:
use constant
{
    CAP_NONE => 0, #butt (none); line is exact length
    CAP_ROUND => 1, #round cap/join; line overhangs by a semi-circle at either end
    CAP_SQUARE => 2, #square cap/join; line overhangs by a half square on either end
    CAP_OVERRIDE => FALSE, #cap style overrides drawing logic
};
    
#number of elements in each shape type:
use constant
{
    RECT_SHAPELEN => 6, #x0, y0, x1, y1, count, "rect" (start, end corners)
    LINE_SHAPELEN => 6, #x0, y0, x1, y1, count, "line" (line seg)
    CURVE_SHAPELEN => 10, #xstart, ystart, x0, y0, x1, y1, xend, yend, count, "curve" (bezier 2 points)
    CIRCLE_SHAPELEN => 5, #x, y, 5, count, "circle" (center + radius)
};
#const my %SHAPELEN =
#Readonly my %SHAPELEN =>
our %SHAPELEN =
(
    rect => RECT_SHAPELEN,
    line => LINE_SHAPELEN,
    curve => CURVE_SHAPELEN,
    circle => CIRCLE_SHAPELEN,
);

#panelization:
#This will repeat the entire body the number of times indicated along the X or Y axes (files grow accordingly).
#Display elements that overhang PCB boundary can be squashed or left as-is (typically text or other silk screen markings).
#Set "overhangs" TRUE to allow overhangs, FALSE to truncate them.
#xpad and ypad allow margins to be added around outer edge of panelized PCB.
use constant PANELIZE => {'x' => 1, 'y' => 1, 'xpad' => 0, 'ypad' => 0, 'overhangs' => TRUE}; #number of times to repeat in X and Y directions

# Set this to 1 if you need TurboCAD support.
#$turboCAD = FALSE; #is this still needed as an option?

#CIRCAD pad generation uses an appropriate aperture, then moves it (stroke) "a little" - we use this to find pads and distinguish them from PCB holes. 
use constant PAD_STROKE => 0.3; #0.0005 * 600; #units are pixels
#convert very short traces to pads or holes:
use constant TRACE_MINLEN => .001; #units are inches
#use constant ALWAYS_XY => TRUE; #FALSE; #force XY even if X or Y doesn't change; NOTE: needs to be TRUE for all pads to show in FlatCAM and ViewPlot
use constant REMOVE_POLARITY => FALSE; #TRUE; #set to remove subtractive (negative) polarity; NOTE: must be FALSE for ground planes

#PDF uses "points", each point = 1/72 inch
#combined with a PDF scale factor of .12, this gives 600 dpi resolution (1/72 * .12 = 600 dpi)
use constant INCHES_PER_POINT => 1/72; #0.0138888889; #multiply point-size by this to get inches

# The precision used when computing a bezier curve. Higher numbers are more precise but slower (and generate larger files).
#$bezierPrecision = 100;
use constant BEZIER_PRECISION => 36; #100; #use const; reduced for faster rendering (mainly used for silk screen and thermal pads)

# Ground planes and silk screen or larger copper rectangles or circles are filled line-by-line using this resolution.
use constant FILL_WIDTH => .01; #fill at most 0.01 inch at a time

# The max number of characters to read into memory
use constant MAX_BYTES => 10 * M; #bumped up to 10 MB, use const

use constant DUP_DRILL1 => TRUE; #FALSE; #kludge: ViewPlot doesn't load drill files that are too small so duplicate first tool

my $runtime = time(); #Time::HiRes::gettimeofday(); #measure my execution time

print STDERR "Loaded config settings from '${\(__FILE__)}'.\n";
1; #last value must be truthful to indicate successful load


#############################################################################################
#junk/experiment:

#use Package::Constants;
#use Exporter qw(import); #https://perldoc.perl.org/Exporter.html

#my $caller = "pdf2gerb::";

#sub cfg
#{
#    my $proto = shift;
#    my $class = ref($proto) || $proto;
#    my $settings =
#    {
#        $WANT_DEBUG => 990, #10; #level of debug wanted; higher == more, lower == less, 0 == none
#    };
#    bless($settings, $class);
#    return $settings;
#}

#use constant HELLO => "hi there2"; #"main::HELLO" => "hi there";
#use constant GOODBYE => 14; #"main::GOODBYE" => 12;

#print STDERR "read cfg file\n";

#our @EXPORT_OK = Package::Constants->list(__PACKAGE__); #https://www.perlmonks.org/?node_id=1072691; NOTE: "_OK" skips short/common names

#print STDERR scalar(@EXPORT_OK) . " consts exported:\n";
#foreach(@EXPORT_OK) { print STDERR "$_\n"; }
#my $val = main::thing("xyz");
#print STDERR "caller gave me $val\n";
#foreach my $arg (@ARGV) { print STDERR "arg $arg\n"; }

Download Details:

Author: swannman
Source Code: https://github.com/swannman/pdf2gerb

License: GPL-3.0 license

#perl 

Serde Rust: Serialization Framework for Rust

Serde

*Serde is a framework for serializing and deserializing Rust data structures efficiently and generically.*

You may be looking for:

Serde in action

Click to show Cargo.toml. Run this code in the playground.

[dependencies]

# The core APIs, including the Serialize and Deserialize traits. Always
# required when using Serde. The "derive" feature is only required when
# using #[derive(Serialize, Deserialize)] to make Serde work with structs
# and enums defined in your crate.
serde = { version = "1.0", features = ["derive"] }

# Each data format lives in its own crate; the sample code below uses JSON
# but you may be using a different one.
serde_json = "1.0"

 

use serde::{Serialize, Deserialize};

#[derive(Serialize, Deserialize, Debug)]
struct Point {
    x: i32,
    y: i32,
}

fn main() {
    let point = Point { x: 1, y: 2 };

    // Convert the Point to a JSON string.
    let serialized = serde_json::to_string(&point).unwrap();

    // Prints serialized = {"x":1,"y":2}
    println!("serialized = {}", serialized);

    // Convert the JSON string back to a Point.
    let deserialized: Point = serde_json::from_str(&serialized).unwrap();

    // Prints deserialized = Point { x: 1, y: 2 }
    println!("deserialized = {:?}", deserialized);
}

Getting help

Serde is one of the most widely used Rust libraries so any place that Rustaceans congregate will be able to help you out. For chat, consider trying the #rust-questions or #rust-beginners channels of the unofficial community Discord (invite: https://discord.gg/rust-lang-community), the #rust-usage or #beginners channels of the official Rust Project Discord (invite: https://discord.gg/rust-lang), or the #general stream in Zulip. For asynchronous, consider the [rust] tag on StackOverflow, the /r/rust subreddit which has a pinned weekly easy questions post, or the Rust Discourse forum. It's acceptable to file a support issue in this repo but they tend not to get as many eyes as any of the above and may get closed without a response after some time.

Download Details:
Author: serde-rs
Source Code: https://github.com/serde-rs/serde
License: View license

#rust  #rustlang 

Why Use WordPress? What Can You Do With WordPress?

Can you use WordPress for anything other than blogging? To your surprise, yes. WordPress is more than just a blogging tool, and it has helped thousands of websites and web applications to thrive. The use of WordPress powers around 40% of online projects, and today in our blog, we would visit some amazing uses of WordPress other than blogging.
What Is The Use Of WordPress?

WordPress is the most popular website platform in the world. It is the first choice of businesses that want to set a feature-rich and dynamic Content Management System. So, if you ask what WordPress is used for, the answer is – everything. It is a super-flexible, feature-rich and secure platform that offers everything to build unique websites and applications. Let’s start knowing them:

1. Multiple Websites Under A Single Installation
WordPress Multisite allows you to develop multiple sites from a single WordPress installation. You can download WordPress and start building websites you want to launch under a single server. Literally speaking, you can handle hundreds of sites from one single dashboard, which now needs applause.
It is a highly efficient platform that allows you to easily run several websites under the same login credentials. One of the best things about WordPress is the themes it has to offer. You can simply download them and plugin for various sites and save space on sites without losing their speed.

2. WordPress Social Network
WordPress can be used for high-end projects such as Social Media Network. If you don’t have the money and patience to hire a coder and invest months in building a feature-rich social media site, go for WordPress. It is one of the most amazing uses of WordPress. Its stunning CMS is unbeatable. And you can build sites as good as Facebook or Reddit etc. It can just make the process a lot easier.
To set up a social media network, you would have to download a WordPress Plugin called BuddyPress. It would allow you to connect a community page with ease and would provide all the necessary features of a community or social media. It has direct messaging, activity stream, user groups, extended profiles, and so much more. You just have to download and configure it.
If BuddyPress doesn’t meet all your needs, don’t give up on your dreams. You can try out WP Symposium or PeepSo. There are also several themes you can use to build a social network.

3. Create A Forum For Your Brand’s Community
Communities are very important for your business. They help you stay in constant connection with your users and consumers. And allow you to turn them into a loyal customer base. Meanwhile, there are many good technologies that can be used for building a community page – the good old WordPress is still the best.
It is the best community development technology. If you want to build your online community, you need to consider all the amazing features you get with WordPress. Plugins such as BB Press is an open-source, template-driven PHP/ MySQL forum software. It is very simple and doesn’t hamper the experience of the website.
Other tools such as wpFoRo and Asgaros Forum are equally good for creating a community blog. They are lightweight tools that are easy to manage and integrate with your WordPress site easily. However, there is only one tiny problem; you need to have some technical knowledge to build a WordPress Community blog page.

4. Shortcodes
Since we gave you a problem in the previous section, we would also give you a perfect solution for it. You might not know to code, but you have shortcodes. Shortcodes help you execute functions without having to code. It is an easy way to build an amazing website, add new features, customize plugins easily. They are short lines of code, and rather than memorizing multiple lines; you can have zero technical knowledge and start building a feature-rich website or application.
There are also plugins like Shortcoder, Shortcodes Ultimate, and the Basics available on WordPress that can be used, and you would not even have to remember the shortcodes.

5. Build Online Stores
If you still think about why to use WordPress, use it to build an online store. You can start selling your goods online and start selling. It is an affordable technology that helps you build a feature-rich eCommerce store with WordPress.
WooCommerce is an extension of WordPress and is one of the most used eCommerce solutions. WooCommerce holds a 28% share of the global market and is one of the best ways to set up an online store. It allows you to build user-friendly and professional online stores and has thousands of free and paid extensions. Moreover as an open-source platform, and you don’t have to pay for the license.
Apart from WooCommerce, there are Easy Digital Downloads, iThemes Exchange, Shopify eCommerce plugin, and so much more available.

6. Security Features
WordPress takes security very seriously. It offers tons of external solutions that help you in safeguarding your WordPress site. While there is no way to ensure 100% security, it provides regular updates with security patches and provides several plugins to help with backups, two-factor authorization, and more.
By choosing hosting providers like WP Engine, you can improve the security of the website. It helps in threat detection, manage patching and updates, and internal security audits for the customers, and so much more.

Read More

#use of wordpress #use wordpress for business website #use wordpress for website #what is use of wordpress #why use wordpress #why use wordpress to build a website

Awesome  Rust

Awesome Rust

1653958215

Arangors: Easy to Use Rust Driver for ArangoDB

arangors

arangors is an intuitive rust client for ArangoDB, inspired by pyArango.

arangors enables you to connect with ArangoDB server, access to database, execute AQL query, manage ArangoDB in an easy and intuitive way, both async and plain synchronous code with any HTTP ecosystem you love.

Philosophy of arangors

arangors is targeted at ergonomic, intuitive and OOP-like API for ArangoDB, both top level and low level API for users' choice.

Overall architecture of ArangoDB:

databases -> collections -> documents/edges

In fact, the design of arangors just mimic this architecture, with a slight difference that in the top level, there is a connection object on top of databases, containing a HTTP client with authentication information in HTTP headers.

Hierarchy of arangors:

connection -> databases -> collections -> documents/edges

Features

By now, the available features of arangors are:

  • make connection to ArangoDB
  • get list of databases and collections
  • fetch database and collection info
  • create and delete database or collections
  • full featured AQL query
  • support both async and sync

TODO

(Done) Milestone 0.1.x

Synchronous connection based on reqwest and full featured AQL query.

(X) Milestone 0.2.x

Fill the unimplemented API in Connection, Database, Collection and Document.

In this stage, all operations available for database, collection and document should be implemented.

Well, I am too lazy to fill all API, as the AQL syntax suffices in most cases. Maybe fulfill this goal in 0.4.x .

(Done) Milestone 0.3.x

Implement both sync and async client. Also, offers a way to use custom HTTP client ecosystem.

(WIP) Milestone 1.0.x

Provides the API related to:

  • (X) Graph Management
  • (X) Index Management
  • ( ) User Management

Glance

Use Different HTTP Ecosystem, Regardless of Async or Sync

You can switch to different HTTP ecosystem with a feature gate, or implement the Client yourself (see examples).

Currently out-of-box supported ecosystem are:

  • reqwest_async
  • reqwest_blocking
  • surf_async

By default, arangors use reqwest_async as underling HTTP Client to connect with ArangoDB. You can switch other ecosystem in feature gate:

[dependencies]
arangors = { version = "0.4", features = ["surf_async"], default-features = false }

Or if you want to stick with other ecosystem that are not listed in the feature gate, you can get vanilla arangors without any HTTP client dependency:

[dependencies]
## This one is async
arangors = { version = "0.4", default-features = false }
## This one is synchronous
arangors = { version = "0.4", features = ["blocking"], default-features = false }

Thanks to maybe_async, arangors can unify sync and async API and toggle with a feature gate. Arangors adopts async first policy.

Connection

There is three way to establish connections:

  • jwt
  • basic auth
  • no authentication

So are the arangors API.

Example:

  • With authentication
use arangors::Connection;

// (Recommended) Handy functions
let conn = Connection::establish_jwt("http://localhost:8529", "username", "password")
    .await
    .unwrap();
let conn = Connection::establish_basic_auth("http://localhost:8529", "username", "password")
    .await
    .unwrap();
  • Without authentication, only use in evaluation setting
let conn = Connection::establish_without_auth("http://localhost:8529").await.unwrap();

Database && Collection

use arangors::Connection;

let db = conn.db("test_db").await.unwrap();
let collection = db.collection("test_collection").await.unwrap();

AQL Query

All AQL query related functions are associated with database, as AQL query is performed at database level.

There are several way to execute AQL query, and can be categorized into two classes:

batch query with cursor

  • aql_query_batch
  • aql_next_batch

query to fetch all results

  • aql_str
  • aql_bind_vars
  • aql_query

This later ones provide a convenient high level API, whereas batch queries offer more control.

Typed or Not Typed

Note that results from ArangoDB server, e.x. fetched documents, can be strong typed given deserializable struct, or arbitrary JSON object with serde::Value.


#[derive(Deserialize, Debug)]
struct User {
    pub username: String,
    pub password: String,
}

// Typed
let resp: Vec<User> = db
    .aql_str("FOR u IN test_collection RETURN u")
    .await
    .unwrap();
// Not typed: Arbitrary JSON objects
let resp: Vec<serde_json::Value> = db
    .aql_str("FOR u IN test_collection RETURN u")
    .await
    .unwrap();

Batch query

arangors offers a way to manually handle batch query.

Use aql_query_batch to get a cursor, and use aql_next_batch to fetch next batch and update cursor with the cursor.



let aql = AqlQuery::builder()
    .query("FOR u IN @@collection LIMIT 3 RETURN u")
    .bind_var("@collection", "test_collection")
    .batch_size(1)
    .count(true)
    .build();

// fetch the first cursor
let mut cursor = db.aql_query_batch(aql).await.unwrap();
// see metadata in cursor
println!("count: {:?}", cursor.count);
println!("cached: {}", cursor.cached);
let mut results: Vec<serde_json::Value> = Vec::new();
loop {
    if cursor.more {
        let id = cursor.id.unwrap().clone();
        // save data
        results.extend(cursor.result.into_iter());
        // update cursor
        cursor = db.aql_next_batch(id.as_str()).await.unwrap();
    } else {
        break;
    }
}
println!("{:?}", results);

Fetch All Results

There are three functions for AQL query that fetch all results from ArangoDB. These functions internally fetch batch results one after another to get all results.

The functions for fetching all results are listed as bellow:

aql_str

This function only accept a AQL query string.

Here is an example of strong typed query result with aql_str:


#[derive(Deserialize, Debug)]
struct User {
    pub username: String,
    pub password: String,
}

let result: Vec<User> = db
    .aql_str(r#"FOR i in test_collection FILTER i.username=="test2" return i"#)
    .await
    .unwrap();

aql_bind_vars

This function can be used to start a AQL query with bind variables.

use arangors::{Connection, Document};

#[derive(Serialize, Deserialize, Debug)]
struct User {
    pub username: String,
    pub password: String,
}


let mut vars = HashMap::new();
let user = User {
    username: "test".to_string(),
    password: "test_pwd".to_string(),
};
vars.insert("user", serde_json::value::to_value(&user).unwrap());
let result: Vec<Document<User>> = db
    .aql_bind_vars(r#"FOR i in test_collection FILTER i==@user return i"#, vars)
    .await
    .unwrap();

aql_query

This function offers all the options available to tweak a AQL query. Users have to construct a AqlQuery object first. And AqlQuery offer all the options needed to tweak AQL query. You can set batch size, add bind vars, limit memory, and all others options available.

use arangors::{AqlQuery, Connection, Cursor, Database};
use serde_json::value::Value;


let aql = AqlQuery::builder()
    .query("FOR u IN @@collection LIMIT 3 RETURN u")
    .bind_var("@collection", "test_collection")
    .batch_size(1)
    .count(true)
    .build();

let resp: Vec<Value> = db.aql_query(aql).await.unwrap();
println!("{:?}", resp);

Contributing

Contributions and feed back are welcome following Github workflow.

Download Details:
Author: fMeow
Source Code: https://github.com/fMeow/arangors
License: MIT license

#rust  #database 

Awesome  Rust

Awesome Rust

1654894080

Serde JSON: JSON Support for Serde Framework

Serde JSON

Serde is a framework for serializing and deserializing Rust data structures efficiently and generically.

[dependencies]
serde_json = "1.0"

You may be looking for:

JSON is a ubiquitous open-standard format that uses human-readable text to transmit data objects consisting of key-value pairs.

{
    "name": "John Doe",
    "age": 43,
    "address": {
        "street": "10 Downing Street",
        "city": "London"
    },
    "phones": [
        "+44 1234567",
        "+44 2345678"
    ]
}

There are three common ways that you might find yourself needing to work with JSON data in Rust.

  • As text data. An unprocessed string of JSON data that you receive on an HTTP endpoint, read from a file, or prepare to send to a remote server.
  • As an untyped or loosely typed representation. Maybe you want to check that some JSON data is valid before passing it on, but without knowing the structure of what it contains. Or you want to do very basic manipulations like insert a key in a particular spot.
  • As a strongly typed Rust data structure. When you expect all or most of your data to conform to a particular structure and want to get real work done without JSON's loosey-goosey nature tripping you up.

Serde JSON provides efficient, flexible, safe ways of converting data between each of these representations.

Operating on untyped JSON values

Any valid JSON data can be manipulated in the following recursive enum representation. This data structure is serde_json::Value.

enum Value {
    Null,
    Bool(bool),
    Number(Number),
    String(String),
    Array(Vec<Value>),
    Object(Map<String, Value>),
}

A string of JSON data can be parsed into a serde_json::Value by the serde_json::from_str function. There is also from_slice for parsing from a byte slice &[u8] and from_reader for parsing from any io::Read like a File or a TCP stream.

use serde_json::{Result, Value};

fn untyped_example() -> Result<()> {
    // Some JSON input data as a &str. Maybe this comes from the user.
    let data = r#"
        {
            "name": "John Doe",
            "age": 43,
            "phones": [
                "+44 1234567",
                "+44 2345678"
            ]
        }"#;

    // Parse the string of data into serde_json::Value.
    let v: Value = serde_json::from_str(data)?;

    // Access parts of the data by indexing with square brackets.
    println!("Please call {} at the number {}", v["name"], v["phones"][0]);

    Ok(())
}

The result of square bracket indexing like v["name"] is a borrow of the data at that index, so the type is &Value. A JSON map can be indexed with string keys, while a JSON array can be indexed with integer keys. If the type of the data is not right for the type with which it is being indexed, or if a map does not contain the key being indexed, or if the index into a vector is out of bounds, the returned element is Value::Null.

When a Value is printed, it is printed as a JSON string. So in the code above, the output looks like Please call "John Doe" at the number "+44 1234567". The quotation marks appear because v["name"] is a &Value containing a JSON string and its JSON representation is "John Doe". Printing as a plain string without quotation marks involves converting from a JSON string to a Rust string with as_str() or avoiding the use of Value as described in the following section.

The Value representation is sufficient for very basic tasks but can be tedious to work with for anything more significant. Error handling is verbose to implement correctly, for example imagine trying to detect the presence of unrecognized fields in the input data. The compiler is powerless to help you when you make a mistake, for example imagine typoing v["name"] as v["nmae"] in one of the dozens of places it is used in your code.

Parsing JSON as strongly typed data structures

Serde provides a powerful way of mapping JSON data into Rust data structures largely automatically.

use serde::{Deserialize, Serialize};
use serde_json::Result;

#[derive(Serialize, Deserialize)]
struct Person {
    name: String,
    age: u8,
    phones: Vec<String>,
}

fn typed_example() -> Result<()> {
    // Some JSON input data as a &str. Maybe this comes from the user.
    let data = r#"
        {
            "name": "John Doe",
            "age": 43,
            "phones": [
                "+44 1234567",
                "+44 2345678"
            ]
        }"#;

    // Parse the string of data into a Person object. This is exactly the
    // same function as the one that produced serde_json::Value above, but
    // now we are asking it for a Person as output.
    let p: Person = serde_json::from_str(data)?;

    // Do things just like with any other Rust data structure.
    println!("Please call {} at the number {}", p.name, p.phones[0]);

    Ok(())
}

This is the same serde_json::from_str function as before, but this time we assign the return value to a variable of type Person so Serde will automatically interpret the input data as a Person and produce informative error messages if the layout does not conform to what a Person is expected to look like.

Any type that implements Serde's Deserialize trait can be deserialized this way. This includes built-in Rust standard library types like Vec<T> and HashMap<K, V>, as well as any structs or enums annotated with #[derive(Deserialize)].

Once we have p of type Person, our IDE and the Rust compiler can help us use it correctly like they do for any other Rust code. The IDE can autocomplete field names to prevent typos, which was impossible in the serde_json::Value representation. And the Rust compiler can check that when we write p.phones[0], then p.phones is guaranteed to be a Vec<String> so indexing into it makes sense and produces a String.

The necessary setup for using Serde's derive macros is explained on the Using derive page of the Serde site.

Constructing JSON values

Serde JSON provides a json! macro to build serde_json::Value objects with very natural JSON syntax.

use serde_json::json;

fn main() {
    // The type of `john` is `serde_json::Value`
    let john = json!({
        "name": "John Doe",
        "age": 43,
        "phones": [
            "+44 1234567",
            "+44 2345678"
        ]
    });

    println!("first phone number: {}", john["phones"][0]);

    // Convert to a string of JSON and print it out
    println!("{}", john.to_string());
}

The Value::to_string() function converts a serde_json::Value into a String of JSON text.

One neat thing about the json! macro is that variables and expressions can be interpolated directly into the JSON value as you are building it. Serde will check at compile time that the value you are interpolating is able to be represented as JSON.

let full_name = "John Doe";
let age_last_year = 42;

// The type of `john` is `serde_json::Value`
let john = json!({
    "name": full_name,
    "age": age_last_year + 1,
    "phones": [
        format!("+44 {}", random_phone())
    ]
});

This is amazingly convenient, but we have the problem we had before with Value: the IDE and Rust compiler cannot help us if we get it wrong. Serde JSON provides a better way of serializing strongly-typed data structures into JSON text.

Creating JSON by serializing data structures

A data structure can be converted to a JSON string by serde_json::to_string. There is also serde_json::to_vec which serializes to a Vec<u8> and serde_json::to_writer which serializes to any io::Write such as a File or a TCP stream.

use serde::{Deserialize, Serialize};
use serde_json::Result;

#[derive(Serialize, Deserialize)]
struct Address {
    street: String,
    city: String,
}

fn print_an_address() -> Result<()> {
    // Some data structure.
    let address = Address {
        street: "10 Downing Street".to_owned(),
        city: "London".to_owned(),
    };

    // Serialize it to a JSON string.
    let j = serde_json::to_string(&address)?;

    // Print, write to a file, or send to an HTTP server.
    println!("{}", j);

    Ok(())
}

Any type that implements Serde's Serialize trait can be serialized this way. This includes built-in Rust standard library types like Vec<T> and HashMap<K, V>, as well as any structs or enums annotated with #[derive(Serialize)].

Performance

It is fast. You should expect in the ballpark of 500 to 1000 megabytes per second deserialization and 600 to 900 megabytes per second serialization, depending on the characteristics of your data. This is competitive with the fastest C and C++ JSON libraries or even 30% faster for many use cases. Benchmarks live in the serde-rs/json-benchmark repo.

Getting help

Serde is one of the most widely used Rust libraries, so any place that Rustaceans congregate will be able to help you out. For chat, consider trying the #rust-questions or #rust-beginners channels of the unofficial community Discord (invite: https://discord.gg/rust-lang-community), the #rust-usage or #beginners channels of the official Rust Project Discord (invite: https://discord.gg/rust-lang), or the #general stream in Zulip. For asynchronous, consider the [rust] tag on StackOverflow, the /r/rust subreddit which has a pinned weekly easy questions post, or the Rust Discourse forum. It's acceptable to file a support issue in this repo, but they tend not to get as many eyes as any of the above and may get closed without a response after some time.

No-std support

As long as there is a memory allocator, it is possible to use serde_json without the rest of the Rust standard library. This is supported on Rust 1.36+. Disable the default "std" feature and enable the "alloc" feature:

[dependencies]
serde_json = { version = "1.0", default-features = false, features = ["alloc"] }

For JSON support in Serde without a memory allocator, please see the serde-json-core crate.

Link: https://crates.io/crates/serde_json

#rust  #rustlang  #encode   #json