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Licensed under the Apache License, Version 2.0 (the "License") you may not use this file except in compliance with the License. Please see our guidelines for contributing. ContributingĮsri welcomes contributions from anyone and everyone. If you find a bug, please let us know by submitting an issue. Scheduling Workforce Python scripts in Linux / MacOSĪlthough we do our best to ensure these scripts and notebooks work as expected, they are provided as is and there is no official support.Scheduling Workforce Python scripts with Windows Task Scheduler.Usecases for the Workforce Python module.Click on the thumbnail for "Open Notebook" to open in ArcGIS Notebooks.pre-commit install -hook-type pre-push.(Optional - dev only) Configure pre-commit to run flake8 linting on pushes.Run conda activate workforce-scripts to activate the environment.Run conda env create -file environment.yml to create the virtual environment with the correct dependencies.In terminal/cmd navigate to the scripts folder.Install ArcGIS API for Python package via Conda as described here.Report_complete_assignments_without_work_orders.py Report Complete Assignments without Work Orders Report_incomplete_assignments_with_work_orders.py Report Incomplete Assignments with Work Orders Note that some may scripts may work with a Python API for ArcGIS version that is less than 1.8.3 but this cannot be guaranteed. These scripts support Workforce in both ArcGIS Online and ArcGIS Enterprise. This can be downloaded in Conda prior to 1.8.3's official release via:Ĭonda install -c esri/label/prerelease -c esri arcgisĪ set of Python scripts using the ArcGIS API for Python v1.8.3+. To work with those projects in Python and deploy the corresponding scripts in this repo, users will need to update their version of the Python API to 1.8.3. The Workforce team released a new version of the app supporting offline-enabled Projects in July 2020. In addition, we have uploaded our AGOL-compatible notebooks into a publicly accessible group of Hosted Notebooks in ArcGIS Online Scripts Notebooks used for previous demos are also available: 4 - Optimally Creating and Assigning Work Orders Based on Routes.Several example Jupyter notebooks are provided to demonstrate some more advanced workflows that are possible via the ArcGIS API for Python and Workforce: A set of Python scripts and notebooks to help administer and configure Workforce projects.
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