Skip to content

An effort to run InaSAFE and all its functionality as a stand-alone package that is easy to install

Notifications You must be signed in to change notification settings

inasafe/inasafe-headless

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

InaSAFE Headless

Run InaSAFE headlessly as docker container.

Statuses:

Build Status

codecov

Setup Development Environment

Prerequisites:

  • Running MacOS or Ubuntu 16.04/16.10
  • Docker installed
  • Ansible is installed (pip install ansible or brew install ansible)
  • PyCharm professional is installed (versions: 2016.3, 2017.1, 2017.2, or 2017.3)

Step by step

  1. Clone this repository, and open it in PyCharm.
  2. Configure specific options for your local system
    1. cd inasafe-headless/deployment/ansible/development/group_vars
    2. cp all.sample.yml all.yml
    3. Edit all.yml for this items:
      1. remote_user (your username)
      2. remote_group (your user's group) (usually your username on linux, "staff" on macos)
      3. project_path (the location of this project)
      4. interpreters->inasafe-headless->ipaddress (your IP address)
      5. test_data_path, the location of the test data within this project
  3. Go to deployment directory cd inasafe-headless/deployment
  4. Run make setup-ansible to setup the environment, make sure to get no failed. Restart PyCharm if needed.
  5. Run make build
  6. Run make up
  7. Open PyCharm preferences / options, and go to project interpreter. Make sure you have InaSAFE Headless Container as the remote python interpreter. You should make sure all python package is loaded also.
  8. If you are not in production, you need to copy/paste the file src/headless/celeryconfig_sample.py to src/headless/celeryconfig.py
  9. You should have Celery workers in Run Configurations. Check if it's running.
  10. Run unit test, to make sure all is good: make coverage-tests

Running Test

  1. In src/headless/celeryconfig.py, there is task_always_eager variable. If it's set to True, it will run the unit test synchronously. If it's set to False, it will run the unit test asynchronously.
  2. If you want to run asynchronously, you need to run Celery Worker in the Run configurations.
  3. Travis has been set to run the unit test for both synchronously and asynchronously.
  4. You can run the unit test in src/headless/tasks/test/test_celery_task.py like in the common unit test (i.e. right click and press run unittest in the test method/class).
  5. If the unit test generate a result, you can access it in the src/headless/tasks/test/data/result directory. This directory is already mounted to the container to INASAFE_OUTPUT_DIR=/home/headless/output
  6. You can delete all the result from the unit test by running make clean-test-output from the deployment directory.

Available Tasks

  1. Read metadata
    • Input: layer_uri (uri to the layer)
    • Output: Dictionary of metadata
  2. Run analysis
    • Input
      • hazard_layer_uri
      • exposure_layer_uri
      • aggregation_layer_uri
      • crs
    • Output
      output = {
          'status': 0,
          'message': '',
          'outputs': {
              'output_layer_key_1': 'output_layer_path_1',
              'output_layer_key_2': 'output_layer_path_2',
          }
      }
  3. Run multi exposure analysis
    • Input
      • hazard_layer_uri
      • exposure_layer_uri
      • aggregation_layer_uri
      • crs
    • Output
      output = {
          'status': 0,
          'message': '',
          'outputs': {
              'exposure_1': {
                  'output_layer_key_11': 'output_layer_path_11',
                  'output_layer_key_12': 'output_layer_path_12',
              },
              'exposure_2': {
                  'output_layer_key_21': 'output_layer_path_21',
                  'output_layer_key_22': 'output_layer_path_22',
              },
              'multi_exposure_output_layer_key_1':
                  'multi_exposure_output_layer_path_1',
              'multi_exposure_output_layer_key_2':
                  'multi_exposure_output_layer_path_2',
          }
      }
  4. Generate reports (with custom template)
    • Input
      • impact_layer_uri
      • custom_report_template_uri (optional)
    • Output
      output = {
          'status': 0,
          'message': '',
          'output': {
              'html_product_tag': {
                  'action-checklist-report': u'path',
                  'analysis-provenance-details-report': u'path',
                  'impact-report': u'path',
              },
              'pdf_product_tag': {
                  'action-checklist-pdf': u'path',
                  'analysis-provenance-details-report-pdf': u'path',
                  'impact-report-pdf': u'path',
                  'inasafe-map-report-landscape': u'path',
                  'inasafe-map-report-portrait': u'path',
              },
              'qpt_product_tag': {
                  'inasafe-map-report-landscape': u'path',
                  'inasafe-map-report-portrait': u'path',
              }
          },
      }
  5. Get generated reports
    • Input
      • impact_layer_uri
      • custom_report_template_uri (optional)
    • Output
      output = {
          'status': 0,
          'message': '',
          'output': {
              'html_product_tag': {
                  'action-checklist-report': u'path',
                  'analysis-provenance-details-report': u'path',
                  'impact-report': u'path',
              },
              'pdf_product_tag': {
                  'action-checklist-pdf': u'path',
                  'analysis-provenance-details-report-pdf': u'path',
                  'impact-report-pdf': u'path',
                  'inasafe-map-report-landscape': u'path',
                  'inasafe-map-report-portrait': u'path',
              },
              'qpt_product_tag': {
                  'inasafe-map-report-landscape': u'path',
                  'inasafe-map-report-portrait': u'path',
              }
          },
      }
  6. Generate contour
    1. Input: layer_uri
    2. Output: contour_uri

For more detail, please go to src/headless/tasks/inasafe_wrapper.py

About

An effort to run InaSAFE and all its functionality as a stand-alone package that is easy to install

Topics

Resources

Stars

Watchers

Forks

Packages

No packages published

Contributors 4

  •  
  •  
  •  
  •