kwilcox

[root@auth ~]# ipa-replica-manage list
auth.axiom: master
auth.axiompvd: master

[root@auth ~]# ipa-replica-manage list -v `hostname`
auth.axiom: replica
  last init status: None
  last init ended: None
  last update status: 0 Replica acquired successfully: Incremental update started
  last update ended: None

kwilcox

import os
import urllib
from thredds_crawler.crawl import Crawl

import logging
import logging.handlers
logger = logging.getLogger('thredds_crawler')
fh = logging.handlers.RotatingFileHandler('/var/log/iso_harvest/iso_harvest.log', maxBytes=1024*1024*10, backupCount=5)
fh.setLevel(logging.DEBUG)
ch = logging.StreamHandler()

kwilcox

#!/bin/sh

. ~/source_ooi
. $HOME/.venvburrito/startup.sh

pushd .

COI_VIRTUALENV=ooi
UI_VIRTUALENV=ion-ux

kwilcox

from flask.ext.admin.contrib.sqla import ModelView

# 'location' is the GeoAlchemy2 column
class FeatureView(ModelView):
    ...
    form_overrides = dict(location=WTFormsMapField)
    form_args = dict(
        location=dict(
            geometry_type='Polygon', height=500, width=500, cloudmade_api="{your_api}"
        )   

kwilcox

def set_data_array(nc, variable, data):
    # What is 50% of the available memory
    available_memory = psutil.virtual_memory().available * .50

    if data.nbytes > available_memory:
        # Houston...
        # Try 10 sub arrays.  Should have some logic here to determine
        # a better number of arrays to split this into
        smallers = np.array_slice(data, 10)
        i = 0 # track start index

kwilcox

#!/bin/bash

yum install -y gcc gcc-c++ gcc-gfortran curl-devel libxml2-devel bison flex wget make libjpeg-devel expat-devel gsl-devel
 
INSTALL_PATH=/opt
mkdir -p $INSTALL_PATH/src
 
# ANTLR2
APP=antlr-2.7.7
ANTLR_PATH=$INSTALL_PATH/$APP

kwilcox

<?xml version="1.0" encoding="UTF-8"?>
<om:ObservationCollection xmlns:gml="http://www.opengis.net/gml" xmlns:om="http://www.opengis.net/om/1.0" xmlns:swe="http://www.opengis.net/swe/1.0.1" xmlns:swe2="http://www.opengis.net/swe/2.0" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" gml:id="SPOT5_DATA" xsi:schemaLocation="http://www.opengis.net/om/1.0 http://schemas.opengis.net/om/1.0.0/observation.xsd">
    <om:member>
        <om:Observation>
            <om:samplingTime>
        <gml:TimePeriod>
          <gml:beginPosition>1990-01-01T00:00:00Z</gml:beginPosition>
          <gml:endPosition>1990-01-01T00:00:00Z</gml:endPosition>
        </gml:TimePeriod>
      </om:samplingTime>

kwilcox

<!-- FMRC Aggregation -->
<featureCollection featureType="FMRC" name="LakeErieSST-FMRC" harvest="true" path="LakeErieSST-FMRC">
  <metadata inherited="true">
    <serviceName>agg</serviceName>
    <documentation type="summary">Lake Erie SST</documentation>
  </metadata>
  <collection spec="/var/thredds/MTRI-LST/erie_current_year/converted/.*nc4$"/>
  <!-- The protoDataset changes are not reflected in the 'Best Time Series' -->
  <protoDataset choice="Penultimate">
    <netcdf xmlns="http://www.unidata.ucar.edu/namespaces/netcdf/ncml-2.2">

kwilcox

ActiveRecord::MultiparameterAssignmentErrors (1 error(s) on assignment of multiparameter attributes):
    /vendor/rails/activerecord/lib/active_record/base.rb:2095:in `execute_callstack_for_multiparameter_attributes'
    /vendor/rails/activerecord/lib/active_record/base.rb:2075:in `assign_multiparameter_attributes'
    /vendor/rails/activerecord/lib/active_record/base.rb:1676:in `attributes='
    /vendor/rails/activerecord/lib/active_record/base.rb:1592:in `update_attributes'
    /usr/local/apache2/htdocs/gf_test/current/app/controllers/listing_controller.rb:472:in `update'
    /usr/local/apache2/htdocs/gf_test/current/app/controllers/listing_controller.rb:446:in `update'

kwilcox

  def dayify(symbol,countsymbol,sumsymbol = nil)
    # This is for calculating things like emails sent.  Each time an update email is sent,
    # one row is added to the Analytic table with the 'symbol'.  Each analytic run, the past
    # day of those symbols are rolled into one Analytic called 'countsymbol'.  If there is a 
    # quantity specifed as 'newsymbol' then the values are aggregated and saved as 'newsymbol'.
    # In the case of update emails, the number of updates is the aggregate, the number of emails
    # is the count.
    # Sample call for update emails: dayify(:update_email_sent,:daily_update_emails,:updates_in_daily_emails)
    # Sample call for invite emails: dayify(:invite_email_sent,:daily_invite_emails)
    z = Analytic.find_by_sql("select sum(value) as sum, count(value) as count, date_trunc('day',created_at) as x from analytics WHERE resource = '#{symbol.to_s}' AND created_at < date_trunc('day',now()) group by date_trunc('day',created_at)")