derms

#!/bin/bash

# TigerGraph Support Collector v1.0
# Revised 3/17/2022

supportdir="support_collection_"$(date +%F_%H%M)
echo; read -p "Would you like to collect logs (this may take some time)? [y/n]"
if [[ $REPLY =~ ^[Yy]$ ]]; then
        echo; echo "Collecting logs..."
        gcollect -o ./$supportdir -c gpe,gse,gsql,rest -t 86400 collect

derms

derms

BEGIN
CREATE LOADING JOB load_job_bi_data FOR GRAPH dataops {

    DEFINE FILENAME MyDataSource = "/home/tigergraph/tigergraph/data/gui/loading_data/bi_data.csv";

    LOAD MyDataSource
        TO VERTEX object     VALUES(gsql_concat($0, ":", $1, ":", $3), $0, $1, $3, _, _)
      , TO VERTEX object     VALUES(gsql_concat($0, ":", $4, ":", $5), $0, $4, $5, _, _)                  WHERE $4 != "Logical Table"
      , TO EDGE   relates_to VALUES(gsql_concat($0, ":", $1, ":", $3), gsql_concat($0, ":", $4, ":", $5)) WHERE $4 != "Logical Table"
    USING SEPARATOR = ","

derms

import coremltools
# Load a Core ML model
coreml_model = coremltools.utils.load_spec('SentimentPolarity.mlmodel')
# Convert the Core ML model into ONNX
onnx_model = onnxmltools.convert_coreml(coreml_model, 'Sentiment Polarity')
# Save as protobuf
onnxmltools.utils.save_model(onnx_model, 'SentimentPolarity.onnx')

derms

bash -c 'while [[ "$(curl -s -o /dev/null -w ''%{http_code}'' localhost:9000)" != "200" ]]; do sleep 5; done'

# also check https://gist.github.com/rgl/c2ba64b7e2a5a04d1eb65983995dce76

derms

def isProd(taskName) {
  def isProdEnv =  "prod".equalsIgnoreCase(findProperty("environmentName"))
  if (isProdEnv) {
   println "Skipping ${taskName} as is prod envrionment" 
  }
  return isProdEnv
}
mlUndeploy.onlyIf { !isProd("mlUndeploy") } 
mlUndeploy.dependsOn.each { taskList ->
 taskList.each { taskName ->

derms

'use strict';
// Simple way to download the model and insert it into the database. 
// Normally would use a tool like mlcp to do this. This only needs to be done once

declareUpdate()
//downloads the BiDAF model
let model = fn.subsequence(
              xdmp.httpGet("https://onnxzoo.blob.core.windows.net/models/opset_9/bidaf/bidaf.onnx")
            , 2, 1)
//inserts the BiDAF model into the database at the URI /onnx/model/bidaf.onnx

derms

xquery version "1.0-ml";
(xdmp:list-cache-clear(),
xdmp:expanded-tree-cache-clear(),
xdmp:compressed-tree-cache-clear(),
xdmp:triple-cache-clear(),
xdmp:triple-value-cache-clear(),
xdmp:cache-status(xdmp:host()))

derms

 find . -name "*.pdf" -o -name "*.jpg" -o -name "*.png" -o -name "*.tif" -o -name "*.PNG" | sed 's| |\\ |g' | xargs ls -sk  | sed 's/ .\/.*\//,/g'

derms

class CustomDeleteCollectionsTask extends com.marklogic.gradle.task.datamovement.DataMovementTask {
	String[] collections

	@org.gradle.api.tasks.TaskAction
	void deleteCollections() {
        	project.ext.collections = (collections != null && collections.length > 0) ? collections.join(",") : null
		runQueryBatcherJob(new com.marklogic.client.ext.datamovement.job.DeleteCollectionsJob())
	}
}