* 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