LEaRN The Lafayette Engagement and Research Network

2017-08-01 LEaRN Status Meeting (CGI)

Original CGI Document
SubjectStatus Meeting (CGI)
Project NameLEaRN
Meeting DateAugust 1, 2017
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Time / Location2017-08-01 3:30 PM CST



Discussion Items

5minReview Deadlines 
  • Upcoming Deadlines

    • Sprint completion 7/28/2017
    • August 15th finish prototypes and final design
    • July-Early August, purchasing for devices
    • Early September begin build process of devices with ULL/David Thibodaux students

Status update:

  • We need to start thinking when and where we would deploy our next sensor prototypes, and what sensors those prototypes will include.
    • Held a sensor placement meeting (TODO: link to notes)
    • Follow-up meeting next week
  • Comeaux, Justin M (CGI Federal) helped Matkin, Benjamin K (CGI Federal) with JWT key audit.
  • Comeaux, Justin M (CGI Federal) did not get test out current and new algorithms for the O3 sensors due to higher priorities last week.
  • Dev API set up
    • Recommend logging improvements. See LEARN-198.

Status update:

  • Hardware status:
    • Alphasense higher quality PM sensors, 5 ordered
      • Communicating, but not sure if correctly
      • Still working on this
    • Power regulator works
      • seems to run cool - feeling hopeful
    • Custom PCB
      • Almost done making PCB components in Eagle
      • need to finalize pins and ports before final layout can be made
        • 8/2 work with Justin
  • Inventory Management
 Firmware and device management

Status update:

  • Added new datastreams to account for new sensors manually. (Possibly make new sample.py type of files for specific sensor boxes)
    • Got with Chepudira, Karthik (CGI Federal) about automating this on 07/26/2017.
      • Will test out the automatic way of populating new datastreams through python provided by Chepudira, Karthik (CGI Federal).
      • Will also need a more robust way to configure firmware (yaml, etc.) as environment variables will be too limiting in some cases.

Status update:

  • LEARN-106: Cascade on deletion complete
    • Complete
  • LEARN-154: Ensure HistoricalLocation is created for new locations
    • Complete
  • LEARN-147: Request Bamboo CI build plan for API code
    • Complete
    • Build plan is for Kinota repo, which won't be ready until LEARN-148 and LEARN-187 are complete.
    • Created LEARN-188 as a follow-up issue.
  • LEARN-148: Clean up code for OSS release
    • Waiting for code review
    • Due to upcoming vacation of Miles, Brian (CGI Federal) the code clean up has been broken into two issues. LEARN-187 details the remaining code clean up issues that need to be completed before open source release.
 Visualization and Use Cases

Status update:

  Architecture & AnalyticsChepudira, Karthik (CGI Federal) 


  • Worked on connectivity between sensors and azure IOT directly via MQTT - Done
  • Setting up MQTT bridge with X.509 certificates - Done
  • Validate mapping for Azure Iot Hub device endpoint and thingid (deviceid) in azure function -Done
  • Plan to setup MQTT broker to map STA topics to Azure IoT topics - Done
  • Automation of device authentication for Azure IoT Hub device - Done
  • Create sensor deployment location plan and provide suggestions
    see 'SensorDeploymentConfiguration.xlsx' file here Sensor locations
  • Creating API things, data streams etc from the device manifest.
  • Make Updates to sensor code (transmit.py) to allow communication directly to azure IoT hub.
  • GitHub integration with Confluence
    • Flat HTML page output finished
      • Content links need to be filtered/removed/rewritten
      • Dynamic menus filtering for GitHub Pages
    • Then will automate using a cron job running on a VM hosting a Drupal instance
      • This Drupal instance may be running as part of AgileIQ infrastructure
    • Molinski, Samuel J (CGI Federal) has a prototype of JIRA integration.
      • HERE: https://github.com/samuelmolinski/learnlafayette/issues
      • The team needs to review and mark any tickets that should not be migrated. To do so, label as follows:
        • 'Project Risk', 'Project Action Item', 'Project Issue', 'Non Public', 'nonPublic', 'github-ignore'.  If there is any sensitive issues I would recommend added on of them.  Also if there is any other labels I should add to the black list, I can add that if needed.
  • GitHub integration with source code
    • Code will be pushed from Bitbucket to GitHub manually for releases as appropriate
 Review Scrum Board 





Action items

Date Assigned 


Due Date

Completion Date Notes 

Risks and Issues

Risk or Issue

Date Identified 


DescriptionOwner(s)Follow-up DateNotes 
  •  Notes for this item