meiqimichelle

Basic information around IPFS pinning APIs

Braindump from @hsanjuan

---

Data around pins (depending on where you are pinning, a pin has additional data attached):

• The root CID (always)
• Type

meiqimichelle

IPFS Desktop user experience

...when given no particular task other than 'explore pinning'

• Getting running
• Now what?
• Other notes
  • Drag-and-drop to add items to IPFS

Getting running

meiqimichelle

IPFS Companion user experience

...when given no particular task other than 'explore pinning'

• Getting running
• Now what?
• Other notes
  • "Add Selected Text to IPFS"
  • Oh yeah, there's also the existing concept called 'pin' in Chrome

Getting running

meiqimichelle

IPFS Pinning Entrypoints

What are the places an end user might encounter "pinning to ipfs" as a thing?

• IPFS
  • Commands (CLI)
  • APIs
  • IPFS Companion
  • IPFS Desktop utility controller

• IPFS WebUI/Desktop

meiqimichelle

IPFS in 4 hours

I was given an opportunity to analyze the IPFS open source project, with the caveat that I should not spend no more than 4 hours, total, on this work. Of course, starting at only a basic understanding of the project to writing cogently on project patterns, strengths, and weaknesses in 4 hours is not a small request, and one that will be missing many pieces. But in the interest of sharing what I've learned and contributing back to the community, I am summarizing my thoughts here on GitHub. May this summary be helpful to someone else on their path to understanding.

Contents

• Recommended background reading
• Methodology
• Strengths
• Weaknesses and recommendations
• Opportunity

meiqimichelle

Keybase proof

I hereby claim:

• I am meiqimichelle on github.
• I am mhz (https://keybase.io/mhz) on keybase.
• I have a public key ASDA5L5eT5ZT9OVH6G_qFilKrxKOObdj_z4bQH3cGFjI-Ao

To claim this, I am signing this object:

meiqimichelle

/* Styles for Natural Resource Revenue from U.S. Federal Lands */
/*srslyforreals*/
@import 'bourbon/bourbon';
@import 'custom';

meiqimichelle

# ############## Michelle: Excel to JSON to ES ##############

from xlrd import open_workbook
from pyelasticsearch import ElasticSearch
es = ElasticSearch('http://ec2-99-999-99-99.us-gov-west-1.compute.amazonaws.com:9200') # This is an example location. Change to local or other hosted location to use.

#create index first so you can set the mappings before you index data
es.create_index("unidatareport")

meiqimichelle

<script type="text/javascript" src="http://code.jquery.com/jquery-latest.min.js"></script>
<script type="text/javascript" src="https://s3.amazonaws.com/Boorse/jquery.elevatezoom.js"></script>
<script>
  if ($('#zoom_01.parentNode').css('visibility') !== 'hidden') {
    $("#zoom_01").elevateZoom({
      zoomWindowPosition: 11,
      zoomWindowOffetx: -60,
      zoomWindowFadeIn: 500,
      zoomWindowFadeOut: 500
    });

meiqimichelle

[
  {
    "state":"Alaska",
    "latLong":"61.3850;-152.2683"
  },
  {
    "state":"Alabama",
    "latLong":"32.7990;-86.8073"
  },
  {