Client release 1.6.0

[1.6.0] - 2021-01-20

Python Version Support

• Python 3.6 is now deprecated, and support will be removed in the next version.

Catalog

• Added support to Bands for new processing levels and processing step specifications
  to support Landsat Collection 2.

Workflows (channel v0-18) - Added

• wf.widgets lets you quickly explore data interactively. Add widgets anywhere in your code just like normal values, and the widgets will display automatically when you call .visualize.
• View shared Workflows and XYZs in GIS applications using WMTS. Get the URL with wf.wmts_url(), XYZ.wmts_url(), Workflow.wmts_url().
  • Create publicly-accessible tiles and WMTS endpoints with wf.XYZ(..., public=True). Anyone with the URL (which is a cryptographically random ID) can view the data, no login required. Set days_to_expiration to control how long the URL lasts.
  • wf.XYZ.list() to iterate through all XYZ objects you've created, and XYZ.delete to delete them.
  • Set default vizualization options (scales, colormap, bands, etc.) in .publish or wf.XYZ with wf.VizOption. These viz_options are used when displaying the published object in a GIS application, or with wf.flows.
• ImageCollection.visualize(): display ImageCollections on wf.map, and select the reduction operation (mean, median, mosaic, etc.) interactively
• Image.reduction() and ImageCollection.reduction() (like ic.reduction("median", axis="images")) to reduce an Image/ImageCollection with an operation provided by name
• wf.map.controls is accessible (you had to do wf.map.map.controls before)
• Access the parameters used in a Job with Job.arguments and Job.geoctx.

Workflows - Fixed

• Errors like In 'or': : operand type(s) all returned NotImplemented from __array_ufunc__ when using the bitwise-or operator | are resolved.
• Errors when using computed values in the wf.Datetime constructor (like wf.Datetime(wf.Int(2019) + 1)) are resolved.
• wf.Timedelta can be constructed from floats, and supports all binary operations that Python does (support for /, //, %, * added)
• In .rename_bands, prohibit renaming a band to a name that already exists in the Image/ImageCollection. Previously, this would succeed, but cause downstream errors.
• .bandinfo.get("bandname", {}) now works---before, providing {} would fail with a TypeError
• Indexing an Any object (like wf.Any({"foo": 1})["foo"]) behaves correctly
• wf.Datetimes constructed from strings containing timezone information are handled correctly

Workflows - Changed

• .mask(new_mask) ignores masked pixels in new_mask. Previously, masked pixels in new_mask were considered True, not False. Note that this is opposite of NumPy's behavior.
• If you .publish an object that depends on wf.parameters or wf.widgets, it's automatically converted into a wf.Function.
• breaking .compute and .inspect no longer accept extra arguments that aren't required for the computation. If the object doesn't depend on any wf.parameters or wf.widgets, passing extra keyword arguments will raise an error. Similarly, not providing keyword arguments for all parameters the object depends on will raise an error.
• breaking The wf.XYZ interface has changed; construct an XYZ with wf.XYZ(...) instead of wf.XYZ.build(...).save()
• Set days_to_expiration on XYZ objects. After this many days, the object is deleted.
• Job metadata is deleted after 10 days; wf.Job.get(...) on a job ID more than 10 days old will fail. Note that Job results have always been deleted after 10 days; now the metadata expires as well.
• wf.Function has better support for named arguments. Now, f = wf.Function[{'x': wf.Int, 'y': wf.Str}, wf.Int] requires two arguments x and y, and they can be given positionally (f(1, "hi")), by name in any order(f(x=1, y="hi") or f(y="hi", x=1)), or both (f(1, y="hi")). wf.Function.from_callable will generate a Function with the same names as the Python function you decorate or pass in. Therefore, when using @wf.publish as a decorator, the published Function will automatically have the same argument names as your Python function.