• Stars
    star
    745
  • Rank 60,881 (Top 2 %)
  • Language
    JavaScript
  • License
    Other
  • Created over 9 years ago
  • Updated 3 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Earthdata Search is a web application developed by NASA EOSDIS to enable data discovery, search, comparison, visualization, and access across EOSDIS' Earth Science data holdings.

Earthdata Search

serverless Build Status codecov Known Vulnerabilities

About

Earthdata Search is a web application developed by NASA EOSDIS to enable data discovery, search, comparison, visualization, and access across EOSDIS' Earth Science data holdings. It builds upon several public-facing services provided by EOSDIS, including the Common Metadata Repository (CMR) for data discovery and access, EOSDIS User Registration System (URS) authentication, the Global Imagery Browse Services (GIBS) for visualization, and a number of OPeNDAP services hosted by data providers.

License

Copyright © 2007-2019 United States Government as represented by the Administrator of the National Aeronautics and Space Administration. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Application Installation and Usage

The Earthdata Search application uses Node v14 and Webpack 5 to generate static assets. The serverless application utilizes the following AWS services (important to note if deploying to an AWS environment):

  • S3
    • We highly recommend using CloudFront in front of S3.
  • SQS
  • API Gateway
  • Lambda
  • Cloudwatch (Events)

Prerequisites

Node

Earthdata Search runs on Node.js, in order to run the application you'll need to install it.

Recommended: Use Homebrew

brew install node
NPM

npm is a separate project from Node.js, and tends to update more frequently. As a result, even if you’ve just downloaded Node.js (and therefore npm), you’ll probably need to update your npm. Luckily, npm knows how to update itself! To update your npm, type this into your terminal:

npm install -g npm@latest
NVM

To ensure that you're using the correct version of Node it is recommended that you use Node Version Manager. Installation instructions can be found on the repository. The version used is defined in .nvmrc and will be used automatically if NVM is configured correctly.

Serverless Framework

Earthdata Search utilizes the Serverless Framework for managing AWS resources. In order to fully run and manage the application you'll need to install it:

npm install -g serverless@latest
PostgreSQL

Earthdata Search uses PostgreSQL in production on AWS RDS. If you don't already have it installed, download and install it to your development environment.

Recommended: Use Homebrew

brew install postgresql

If you decide to install via Homebrew you'll need to create the default user.

/usr/local/opt/postgres/bin/createuser -s postgres

Initial Setup

Package Installation

Once npm is installed locally, you need to download the dependencies by executing the command below in the project root directory:

npm install
Configuration

We can configure some of the layouts for the EDSC presentation by updating the defaultPortal value. For development purposes we should set this to edsc.

Secrets

For local development Earthdata Search uses a json configuration file to store secure files, an example is provided and should be copied and completed before attempting to go any further.

cp secret.config.json.example secret.config.json

In order to operate against a local database this file will need dbUsername and dbPassword values set (you may need to update dbHost, dbName or dbPort in static.config.json if you have custom configuration locally)

Public (Non-Secure)

Non-secure values are stored in static.config.json. In order to prevent conflicts amongst developers you copy the static config into overrideStatic.config.json and change the config values there. Do not commit changes to static.config.json.

cp static.config.json overrideStatic.config.json
Database Migration

Ensure that you have a database created:

createdb edsc_dev

To run the migrations locally:

DATABASE_URL=postgresql://USERNAME:PASSWORD@localhost:5432/edsc_dev npm run migrate up

Optionally, we can run the migration locally and not within a deployed Lambda. When deployed our database migrations run within Lambda due to the fact that in non-development environments our resources are not publicly accessible. To run the migrations you'll need to invoke the Lambda:

serverless invoke local --function migrateDatabase

Building the Application

The production build of the application will be output in the /static/dist/ directory:

npm run build

Run the Application Locally

The local development environment for the static assets can be started by executing the command below in the project root directory:

npm run start

This will run the React application at http://localhost:8080 -- please see Serverless Framework below for enabling the 'server' side functionality.

Serverless Framework

The serverless framework offers many plugins which allow for local development utilizing many of the services AWS offers. For the most part we only need API Gateway and Lambda for this application but there are plugins for many more services (a list of known exceptions will be maintained below).

Exceptions
  • SQS

While there is an sqs-offline plugin for serverless it still requires an actual queue be running, we may investigate this in the future but for now sqs functionality isn't available while developing locally which means the following pieces of functionality will not operate locally:

  • Generating Colormaps

Running API Gateway and Lambda Locally

Running the following command will spin up API Gateway and Lambda locally which will open up a vast majority of the functionality the backend offers.

npm run offline

This will provide access to API Gateway at http://localhost:3001

Additionally, this ties in with the serverless webpack plugin which will ensure that your lambdas are re-built when changes are detected.

Run the Automated Jest tests

Once the project is built, you must ensure that the automated unit tests pass:

npm run test

Run the Automated Cypress tests

You must also ensure that the automated integration tests pass:

npm run cypress:run

You can also use the Cypress GUI with:

npm run cypress:open
Configuration
Cypress Secrets

When adding new Cypress tests, you will need to modify the secrets.config.json file. You will need to edit the "cypress" object to include data from your local database:

"cypress": {
    "user": {
    "id": 1, // This should match the ID of your user in the 'users' database table
    "username": "your username here" // Replace with the urs_id field of your user in the 'users' database table
    }
}

Deployment

When the time comes to deploy the application, first ensure that you have the required ENV vars set:

  • AWS_ACCESS_KEY_ID
  • AWS_SECRET_ACCESS_KEY

This application runs in a VPC for NASA security purposes, therefore the following values are expected when a deployment occurs:

  • VPC_ID
  • SUBNET_ID_A
  • SUBNET_ID_B

For production use, this application uses Scatter Swap to obfuscate some IDs -- the library does not require a value be provided but if you'd like to control it you can set the following ENV vars:

  • OBFUSCATION_SPIN
  • OBFUSCATION_SPIN_SHAPEFILES

To deploy the full application use the following:

NODE_ENV=production serverless deploy --stage UNIQUE_STAGE

More Repositories

1

openmct

A web based mission control framework.
JavaScript
11,117
star
2

fprime

F´ - A flight software and embedded systems framework
C++
10,048
star
3

NASA-3D-Resources

Here you'll find a growing collection of 3D models, textures, and images from inside NASA.
Mathematica
2,804
star
4

apod-api

Astronomy Picture of the Day API service
Python
824
star
5

astrobee

NASA Astrobee Robot Software
C++
811
star
6

trick

Trick Simulation Environment. Trick provides a common set of simulation capabilities and utilities to build simulations automatically.
C++
685
star
7

Transform-to-Open-Science

Transformation to Open Science
639
star
8

cFS

The Core Flight System (cFS)
CMake
537
star
9

XPlaneConnect

The X-Plane Communications Toolbox is a research tool used to interact with the X-Plane flight simulator
C
536
star
10

osal

The Core Flight System (cFS) Operating System Abstraction Layer (OSAL)
C
486
star
11

api-docs

api.nasa.gov
SCSS
448
star
12

NASTRAN-95

Fortran
393
star
13

spaceapps

363
star
14

cFE

The Core Flight System (cFS) Core Flight Executive (cFE)
C
343
star
15

instructions

https://github.com/nasa/nasa.github.io/blob/master/docs/INSTRUCTIONS.md
HTML
336
star
16

World-Wind-Java

World Wind, an open source 3D interactive world viewer, was created by NASA's Learning Technologies project, and released in mid-2004. It is now developed by NASA staff and open source community developers.
C++
328
star
17

ogma

Haskell
327
star
18

Common-Metadata-Repository

Clojure
302
star
19

VICAR

291
star
20

CFL3D

Fortran
267
star
21

Open-Source-Catalog

Contains the NASA open source software catalog for automatic deployment to code.nasa.gov
JavaScript
259
star
22

openmct-tutorial

A tutorial for OpenMCT that guides you through integrating historical and realtime telemetry.
JavaScript
242
star
23

code-nasa-gov

code.nasa.gov site leveraging the Open Source Catalog on github.com, powered by Polymer
CSS
236
star
24

eefs

EEPROM File System
C
232
star
25

cumulus

Cumulus Framework + Cumulus API
JavaScript
230
star
26

T-MATS

An open source thermodynamic modeling package completed on behalf of NASA. The Toolbox for the Modeling and Analysis of Thermodynamic Systems (T-MATS) package offers a MATLAB/Simulink toolbox that gives a developer the ability to create simulations of such thermodynamic systems as turbomachinery and gas turbines. Keywords: TMATS, Control System, Numerical Methods, Newton-Raphson, Jacobian Calculation, Propulsion, Aircraft Engine, Jet, Turbofan, Turbojet, Compressor, Turbine, Nozzle, Inlet, open source
HTML
216
star
27

isle

JavaScript
213
star
28

europa

C++
207
star
29

nasa-latex-docs

An easy and convenient package to create technical LaTeX documents.
TeX
197
star
30

pvslib

NASA PVS Library of Formal Developments
Common Lisp
186
star
31

delta

Deep Learning for Satellite Imagery
Python
184
star
32

CrisisMappingToolkit

NASA Ames Crisis Mapping Toolkit
Python
183
star
33

nos3

NASA Operational Simulator for Small Satellites
C
167
star
34

icarous

ICAROUS is a software architecture for the development of UAS applications
C
147
star
35

DERT

DERT is an open source software tool for exploring NASA's digital terrain models in 3D
Java
142
star
36

NASTRAN-93

NASTRAN is the NASA Structural Analysis System, a finite element analysis program (FEA)
Fortran
134
star
37

ow_simulator

Python
129
star
38

meshNetwork

C++
127
star
39

prog_models

The NASA Prognostic Model Package is a Python framework focused on defining and building models for prognostics (computation of remaining useful life) of engineering systems, and provides a set of prognostics models for select components developed within this framework, suitable for use in prognostics applications for these components.
122
star
40

QuIP

QuIP provides an interactive environment for computing and presenting images and image sequences, manipulating and storing arbitrary data, and general scientific computing and plotting. The current release supports unix-like operating systems (tested on Linux and Mac OSX), and Apple's iOS mobile operating system. GPU acceleration is supported with either CUDA or OpenCL. There is built-in support for psychophysical experimentation, with general-purpose staircase routines and analysis of psychometric functions.
C
118
star
41

autodoc

Create Microsoft Documents automatically using Text and Template files
106
star
42

Kodiak

Library for rigorous verification of non-linear arithmetic
C++
103
star
43

PrognosticsAlgorithmLibrary

MATLAB
103
star
44

EMIT-Data-Resources

This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Earth Surface Mineral Dust Source Investigation (EMIT) mission.
HTML
102
star
45

CompDam_DGD

Fortran
99
star
46

astrobee_android

NASA Astrobee Robot Software, Android
Java
96
star
47

OpenSPIFe

The Open Scheduling and Planning Interface for Exploration (OpenSPIFe) is an integrated planning and scheduling toolkit based on hundreds of hours of expert observation, use, and refinement of state-of-the-art planning and scheduling technology for several applications within NASA.
Java
95
star
48

HDTN

High-rate Delay Tolerant Network (HDTN) Software
C++
90
star
49

PrognosticsModelLibrary

MATLAB
89
star
50

mmt

NASA's Metadata Management Tool.
Ruby
86
star
51

kepler-pipeline

Kepler Science Data Processing Pipeline
C
84
star
52

IDF

C++
80
star
53

nasapress

A WordPress theme built on the NASA Web Design Standards
PHP
79
star
54

PyTDA

Python Turbulence Detection Algorithm (PyTDA)
Jupyter Notebook
78
star
55

harmony

Application for providing services for Earth observation data in the cloud using standards-based APIs
TypeScript
74
star
56

RHEAS

Regional Hydrologic Extremes Assessment System
Python
73
star
57

astrobot

A slack bot integration with NASA data
JavaScript
73
star
58

podaacpy

A python utility library for interacting with NASA JPL's PO.DAAC
Python
73
star
59

CCDD

CFS Command and Data Dictionary Tool (CCDDT)
Java
72
star
60

SMCPy

Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler
Python
71
star
61

NASA-Acronyms

JavaScript
71
star
62

PointCloudsVR

C++
68
star
63

channel-emulator

C++
66
star
64

cFS-GroundSystem

The Core Flight System (cFS) Ground System Lab Tool (cFS-GroundSystem)
Python
65
star
65

CFS-101

63
star
66

AprilNav

C++
61
star
67

common-mapping-client

CMC is a starter-kit for creating web-based mapping applications
JavaScript
60
star
68

PSP

The Core Flight System (cFS) Platform Support Package (PSP)
C
60
star
69

NASAaccess

NASAaccess is R package that can generate gridded ascii tables of climate (CIMP5) and weather data (GPM, TRMM, GLDAS) needed to drive various hydrological models (e.g., SWAT, VIC, RHESSys, ..etc)
R
60
star
70

CryptoLib

Provide a software-only solution using the CCSDS Space Data Link Security Protocol - Extended Procedures (SDLS-EP) to secure communications between a spacecraft running the core Flight System (cFS) and a ground station.
C
60
star
71

GTM_DesignSim

MATLAB
59
star
72

dictionaries

A collection of NASA "dictionaries", including thesauri, taxonomies and ontologies.
HTML
58
star
73

progpy

The NASA Prognostic Python Packages is a Python framework focused on defining and building models and algorit for prognostics (computation of remaining useful life) of engineering systems, and provides a set of models and algorithms for select components developed within this framework, suitable for use in prognostic applications.
Python
57
star
74

libSPRITE

libSPRITE is a set of libraries that have been used on several past projects including flight, technology demonstration, and simulation projects. libSPRITE provides a diverse set of functions to attempt to simplify coding and reduce code errors. For example, libSPRITE defines engineering units as types (i.e., Meters or Radians instead of double or int). It includes an engineering unit aware math library. libSPRITE includes a task scheduling system that abstracts pthreads and includes a publish subscribe data system for data routing. In addition, libSPRITE includes an optional binding to the Lua scripting language for configuring the program, setting parameters, running Lua scripts within C++ tasks and even interacting with the application during runtime.
C++
57
star
75

prog_algs

The Prognostic Algorithm Package is a python framework for model-based prognostics (computation of remaining useful life) of engineering systems, and provides a set of algorithms for state estimation and prediction, including uncertainty propagation. The algorithms take as inputs prognostic models (from NASA's Prognostics Model Package), and perform estimation and prediction functions. The library allows the rapid development of prognostics solutions for given models of components and systems. Different algorithms can be easily swapped to do comparative studies and evaluations of different algorithms to select the best for the application at hand.
57
star
76

utm-apis

The collection of APIs for NASA's UTM project in the form of OpenAPI documents.
55
star
77

cumulus-dashboard

Cumulus API Dashboard
JavaScript
55
star
78

hybridq

HybridQ is a highly extensible platform designed to provide a common framework to integrate multiple state-of-the-art techniques to simulate large scale quantum circuits on a variety of hardware. HybridQ provides tools to manipulate, develop, and extend noiseless and noisy circuits for different hardware architectures. HybridQ also supports large-scale high-performance computing (HPC) simulations, automatically balancing workload among different processor nodes and enabling the use of multiple backends to maximize parallel efficiency. Everything is then glued together by a simple and expressive language that allows seamless switching from one technique to another as well as from one hardware to the next, without the need to write lengthy translations, thus greatly simplifying the development of new hybrid algorithms and techniques.
Python
55
star
79

pretrained-microscopy-models

Python
54
star
80

GFR

GFR (Glenn Flux Reconstruction) software (LEW-19709-1) has been approved for an open source release
Fortran
54
star
81

refine

C
53
star
82

NASA-Space-Weather-Media-Viewer

Space Weather and the Sun.
52
star
83

giant

Goddard Image Analysis and Navigation Tool
Python
51
star
84

EADINLite

EADIN_Lite Network Protocol
C++
51
star
85

SingleDop

Single Doppler Retrieval Toolkit (SingleDop)
Jupyter Notebook
50
star
86

multipath-tcp-tools

C++
49
star
87

OnAIR

The On-board Artificial Intelligence Research (OnAIR) Platform is a framework that enables AI algorithms written in Python to interact with NASA's cFS. It is intended to explore research concepts in autonomous operations in a simulated environment.
Python
48
star
88

bingo

Python
48
star
89

MMM-Py

Marshall MRMS Mosaic Python Toolkit
Jupyter Notebook
48
star
90

CF

The Core Flight System (cFS) CFDP application.
C
47
star
91

ipv6_python

Python
47
star
92

MLMCPy

Python
47
star
93

TTECTrA

An open source, semi-automated, control design tool for subsonic aircraft engine simulations written in the MATLAB/Simulink environment. The Tool for Turbine Engine Closed-loop Transient Analysis provides the user a preliminary estimate of the closed-loop transient performance of an engine model.
47
star
94

WellClear

Well-Clear Boundary Models for Integration of UAS in the NAS
HTML
46
star
95

CertWare

Java
46
star
96

fpp

F Prime Prime: A modeling language for F Prime
C++
46
star
97

podaac_tools_and_services

A meta-repository which essentially lists code related to all tools and services software for NASA JPL's PO.DAAC
Python
45
star
98

cmr-stac

TypeScript
44
star
99

RtRetrievalFramework

C++
43
star
100

mplStyle

Matplotlib object oriented style system
Python
43
star