Will Engler WillEngler

## sensorCommentThread.md

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                WillEngler
                / sensorCommentThread.md
            
            
              Created
              July 6, 2016 14:22
            
              
                Plenario Sensor API Comment Thread
              
          
    For stakeholders to comment on the draft metadata specification in this wiki page.
(I don't think there's a way to comment directly on a wiki page.)

  
## flask_admin_bug.py
from os import environ

from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_admin import Admin
from geoalchemy2 import Geometry

from flask_admin.contrib.geoa import ModelView

app = Flask(__name__)

## howto.md

      
              2 files
            
          
              1 fork
            
          
              1 comment
            
          
              0 stars
            
          
                WillEngler
                / howto.md
            
            
              Last active
              June 20, 2019 09:33
            
              
                Build GDAL from source with Postgres support on AWS Linux
              
          
    How to make custom Elastic Beanstalk AMI

Start environment with your desired configuration (e.g. Python 3.4)
Find generated instance in EC2 console. The AMI ID is your base image.
Launch an instance from the base AMI (It will be in the list of community AMISs)
Provision that instance.
Make an AMI from it. Use the AMI ID in your beanstalk environment configuration.


## gist:b66c9d3cacf00cbefe1379987db9cc9c
# FROM continuumio/miniconda3:22.11.1
FROM docker.io/bengal1/funcx_bc7c6ce2-cc71-4c53-ad0c-fa0b3ad65854:latest

# Make bash our default shell
# SHELL ["/bin/bash", "-c"]
USER root

# Install necessary packages to run Conda
RUN apt-get update && \
    apt-get install -y build-essential && \

## test.py
import docker
import json
import tarfile
import io
client = docker.from_env()

# PUT YOUR IMAGE HERE
my_image_id = ""
# Trying to do this without going through stdout

## Add datasets to Garden
from garden_ai.mlmodel import ModelMetadata, DatasetConnection
from garden_ai import local_data

dc1 = DatasetConnection(
    title="Benchmark Dataset for Locating Atoms in STEM images",
    doi="10.18126/e73h-3w6n",
    url="https://foundry-ml.org/#/datasets/10.18126%2Fe73h-3w6n",
    repository="Foundry",
)
	from os import environ

	from flask import Flask
	from flask_sqlalchemy import SQLAlchemy
	from flask_admin import Admin
	from geoalchemy2 import Geometry

	from flask_admin.contrib.geoa import ModelView

	app = Flask(__name__)
	# FROM continuumio/miniconda3:22.11.1
	FROM docker.io/bengal1/funcx_bc7c6ce2-cc71-4c53-ad0c-fa0b3ad65854:latest

	# Make bash our default shell
	# SHELL ["/bin/bash", "-c"]
	USER root

	# Install necessary packages to run Conda
	RUN apt-get update && \
	apt-get install -y build-essential && \
	import docker
	import json
	import tarfile
	import io
	client = docker.from_env()

	# PUT YOUR IMAGE HERE
	my_image_id = ""
	# Trying to do this without going through stdout
	from garden_ai.mlmodel import ModelMetadata, DatasetConnection
	from garden_ai import local_data

	dc1 = DatasetConnection(
	title="Benchmark Dataset for Locating Atoms in STEM images",
	doi="10.18126/e73h-3w6n",
	url="https://foundry-ml.org/#/datasets/10.18126%2Fe73h-3w6n",
	repository="Foundry",
	)