EarthDaily Python Client Release - 1.8.0 #223
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* Release version 1.8.0 with new STAC item search functionality - Introduced `platform.search()` method for searching STAC items with optional concurrent execution. - Added `batch_days` parameter to allow splitting datetime ranges for concurrent searches. - Implemented `max_workers` parameter to control the size of the concurrent thread pool (default is 10, capped at 10). - Updated CHANGELOG to reflect these new features and incremented version in `pyproject.toml` and `uv.lock` to 1.8.0. - Added unit tests to ensure the new search functionality works as intended. * Enhance `platform.search()` with `max_items_per_chunk` parameter for concurrent searches - Added `max_items_per_chunk` parameter to limit the number of items fetched per chunk during concurrent searches, improving performance and control. - Updated the `search` method to raise a `ValueError` if `max_items` is used alongside `batch_days`, guiding users to use `max_items_per_chunk` instead. - Enhanced documentation and examples to reflect the new parameter and its usage. - Updated CHANGELOG to include these changes for version 1.8.0. * Refactor `PlatformService` to enhance datetime handling and error management - Updated `_split_datetime` method to raise `ValueError` for zero or negative `batch_days` and for open-ended datetime intervals. - Improved the creation of STAC client to fetch a fresh authorization token for each call. - Refactored the handling of date ranges to ensure non-overlapping chunks during concurrent searches. - Added unit tests to validate new error conditions and ensure correct behavior of datetime splitting and STAC client creation. * Implement validation for `max_workers` in `PlatformService` and add corresponding unit tests - Added a check in the `search` method to raise a `ValueError` if `max_workers` is zero or negative, ensuring proper input validation. - Introduced unit tests to verify that appropriate errors are raised when `max_workers` is set to zero or a negative value, enhancing robustness of the concurrent search functionality. * Refactor `platform.search()` method to rename `batch_days` parameter to `days_per_chunk` - Updated the `platform.search()` method and related functionality to replace the `batch_days` parameter with `days_per_chunk`, enhancing clarity and consistency in the API. - Adjusted documentation and examples to reflect the new parameter name. - Updated unit tests to ensure proper functionality with the renamed parameter. - Modified CHANGELOG to document this change for versioning. * Enhance `build_datacube` documentation with `fail_on_error` parameter - Added a new optional parameter `fail_on_error` to the `build_datacube` function documentation, specifying its behavior for asset loading failures. If set to True (default), an error is raised for failed assets; if False, the function skips them, improving usability for users dealing with potentially missing or corrupted assets. GitOrigin-RevId: 70cca02c6e7b9c3c402945c03012ab7adacde6cb
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Automated Sync from Internal Repository
Changes in this sync:
[1.8.0]
Added
platform.search()method for STAC item search with optional concurrent executiondays_per_chunkparameter to split datetime ranges and execute searches concurrentlymax_workersparameter to control concurrent thread pool size (default 10, capped at 10)max_items_per_chunkparameter to limit items fetched per time chunk in concurrent search[1.7.0]
Added
deduplicate_byparameter fordatacube.create()to deduplicate STAC items before datacube creationdeduplicate_keepparameter to control which item to keep when duplicates found ("first"or"last")poolparameter passthrough to odc.stac.load for parallel COG metadata fetching[1.6.1]
Added
groupbyparameter fordatacube.temporal_aggregate()to aggregate by available dates (e.g.,groupby="time.date")[1.6.0]
Added
Sentinel1CollectionHelper,Sentinel2CollectionHelper)create_dual_pol,create_rgb,create_vegetation, etc.)STGeometryclass for spatiotemporal geometry handlingsentinel1_helper_example.py,sentinel2_helper_example.py)Breaking Changes:
Automated sync from internal repository. Please review and update the changelog above before merging.