This file is meant to provide some additional implementation details for back-ends.
None of the openEO processes per se is "special" and thus all are treated the same way by default. Nevertheless, there are some cases where a special treatment can make a huge difference.
The if
process (and any process that is working on some kind of condition) are usually
special control structures and not normal functions. Those conditionals usually decide between
one outcome or the other. Evaluating them in a naive way would compute both outcomes and depending
on the condition use one outcome and discard the other.
This can and should be optimized by "lazily" only computing the outcome that is actually used.
This could have a huge impact on performance as some computation doesn't need to be executed at all.
openEO doesn't require special handling for the if
process, but it is strongly recommended
that back-ends treat them special and only compute the outcome that is actually needed.
In the end, this is faster and cheaper for the user and thus users may prefer back-ends
that offer this optimization. Fortunately, both ways still lead to the same results
and comparability and reproducibility of the results is still given.
Similarly, back-ends should "short-circuit"
the evaluation of conditions that use processes processes such as and
, or
or xor
,
which means that once a condition has reached an unambiguous result
the evaluation should stop and provide the result directly.
This is basically the same behavior that is also described in the processes all
and any
.
For example, the condition A > 0 or B > 0
should only execute B > 0
if A > 0
is false as
otherwise the result is already unambiguous and will be true
regardless of the rest of the
condition.
Implementing this behavior does not have any negative side-effects so that comparability and reproducibility of the results is still given.
There are numerours processes that provide a predefined set of processing methods. For example:
ard_surface_reflectance
:atmospheric_correction_method
andcloud_detection_method
athmospheric_correction
:method
cloud_detection
:method
resample_cube_spatial
:method
resample_spatial
:method
Those methods are meant to provide a common naming for well-known processing methods. Back-ends should check which methods they can implement and remove all the methods they can't implement. Similarly, you can add new methods. We'd likely ask you to open a new issue and provide us your additions so that we can align implementations and eventually update the process specifications with all methods out there. Thanks in advance!
Also make sure to update the textual descriptions accordingly.
This applies similarly to other enums specied in parameter schemas, e.g. the
period
parameter in aggregate_temporal_period
.
The processes mentioned above have all at least one parameter for proprietary
options that can be passed to the corresponsing methods
:
ard_surface_reflectance
:atmospheric_correction_options
andcloud_detection_options
athmospheric_correction
:options
cloud_detection
:options
By default, the parameters don't allow any value except an empty opject. Back-ends have to either remove the parameter or define schema to give user details about the supported parameters per supported method.
For example, if you support the methods iCor
and FORCE
in atmospheric_correction
,
you may define something like the following for the parameter:
{
"description": "Proprietary options for the atmospheric correction method.",
"name": "options",
"optional": true,
"default": {},
"schema": [
{
"title": "FORCE options",
"type": "object",
"properties": {
"force_option1": {
"type": "number",
"description": "Description for option 1",
"default": 0
},
"force_option2": {
"type": "boolean",
"description": "Description for option 1",
"default": true
}
}
},
{
"title": "iCor options",
"type": "object",
"properties": {
"icor_option1": {
"type": "string",
"description": "Description for option 1",
"default": "example"
}
}
}
]
}
Default values should be specified for each of the additional options given in properties
.
The top-level default value should always be an empty object {}
. The default values for the empty object will be provided by the schema.
None of the additional options should be required for better interoperability.
Working with dates is a lot more complex than it seems to be at first sight. Issues arise especially with daylight saving times (DST), time zones, leap years and leap seconds.
The date/time functions in openEO don't have any effect on time zones right now as only dates and times in UTC (with potential numerical time zone modifier) are supported.
Month overflows, including the specific case of leap years, are implemented in a way that computations handle them gracefully. For example:
- If you add a month to January, 31th, it will result in February 29th (leap year) or 28th (other years). This means for invalid dates due to month overflow we round down (or "snap") to the last valid date of the month.
- If you add a month to February, 29th, it will result in March, 29. So the "snap" behavior doesn't work the other way round.
Leap seconds are basically ignored in manipulations as they don't follow a regular pattern. So leap seconds may be passed into the processes, but will never be returned by date manipulation processes in openEO. See the examples for the leap second 2016-12-31T23:59:60Z
:
- If you add a minute to
2016-12-31T23:59:60Z
, it will result in2017-01-01T00:00:59Z
. This means for invalid times we round down (or "snap") to the next valid time. - If you add a seconds to
2016-12-31T23:59:59Z
, it will result in2017-01-01T00:00:00Z
.
To make date_shift
easier to implement, we have found some libraries that follow this specification and can be used for implementations:
- Java: java.time
- JavaScript: Moment.js
- Python: dateutil
- R: lubridate (Cheatsheet)