npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

@mvarble/postgres-planar-graph

v0.0.0

Published

Interface planar graphs with a postgres database.

Downloads

5

Readme

postgres-planar-graph

Interface planar graphs with a postgres database.

Schema

This package assumes we are interacting with tables that have been generated by:

CREATE TABLE graph_node(
  id SERIAL PRIMARY KEY,
  graph INTEGER NOT NULL,
  x FLOAT,
  y FLOAT
);

CREATE TABLE graph_edge(
  id SERIAL PRIMARY KEY,
  graph INTEGER NOT NULL,
  head INTEGER REFERENCES graph_node(id) NOT NULL,
  tail INTEGER REFERENCES graph_node(id) NOT NULL,
  index INTEGER
);

REST API

We will suppose we are dealing with a server that has the following request/response structure.

GET requests

By performing a GET request with a graph parameter for querying a planar graph, you will get an object of the form:

{
  id,
  nodes: [
    { id, graph, location? },
    ...,
    { id, graph, location? },
  ],
  edges: [
    { id, graph, head, tail, index? },
    ...,
    { id, graph, head, tail, index? },
  ]
}

corresponding to a parsed version of the rows of the tables graph_node and graph_edge in which the graph.id matches the query parameter of the GET request. The parsing is such that *.dbKey corresponds to graph_*.id, node.location corresponds to the array [graph_node.x, graph_node.y], and the others *.* match the database graph_*.*.

POST requests

We will assume that performing a POST request to the server with the following body shape will resolve the associated CRUD operations on the server.

{
  createNodes: [
    { tempId, graph, location? },
    ...
    { tempId, graph, location? },
  ],
  updateNodes: [
    { id, graph, location? },
    ...
    { id, graph, location? },
  ],
  deleteNodes: [id, ..., id],
  createEdges: [
    { graph, head/tempHead, tail/tempTail, index? },
    ...
    { graph, head/tempHead, tail/tempTail, index? },
  ],
  updateEdges: [
    { id, graph, head/tempHead, tail/tempTail, index? },
    ...
    { id, graph, head/tempHead, tail/tempTail, index? },
  ],
  deleteNodes: [id, ..., id],
}

The purpose of node.tempId is to allow edges to be defined from edge.tempHead and edge.tempTail when the head and tail nodes are not yet resolved in the database, respectively. In other words, the server will run:

INSERT INTO route_node (graph, x, y)
VALUES (...), (...), ... (...)
RETURNING id;

and then convert any edge.tempHead/edge.tempTail to edge.head/edge.tail by comparing node.tempId to the returned value of the operation above.

API

With the discussion above, one can see how the following functions exported by this module are helpful for interacting applications like viewport-planar-graph with such a database.

createRequest

requestBody = createRequest(oldGraph, graph)

This function will compare two objects oldGraph and graph, where oldGraph is of the shape provided by a GET request to the API, and graph is the same, except in regards to the id/head/tail attributes possibly being their tempId/tempHead/tempTail counterparts. The returned requestBody is that of the POST request.

isPOSTRequest

bool = isPOSTRequest(request)

This function will return the truth value of request having the shape of the POST request.

isDBGraph

bool = isDBGraph(dbGraph)

This function will return the truth value of dbGraph having the shape of the GET request. It also checks if each of the edge.head and edge.tail attributes match some node.id.

isGraph

bool = isGraph(Graph)

This function will return the truth value of graph having the shape of the GET request, except in regards to the id/head/tail keys potentially being their tempId/tempHead/tempTail counterparts. It also performs the checks of whether (1) each edge.head and edge.tail attributes match to some node.id and (2) each edge.tempHead and edge.tempTail attributes match to some node.tempId.

mapIds

newRequest = mapIds(request, rows)

This function does the job of getting the array rows returned by

INSERT INTO route_node (graph, x, y)
VALUES (...) /* data of request.createNodes */
RETURNING id;

and returning and object newRequest in which the edges with edge.tempHead/edge.tempTail will have the corresponding edge.head/edge.tail resolved.