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fix fetching usgs daily dv#530

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samlamont merged 2 commits intomainfrom
526-usgs-fetching-for-dv-is-broken
Sep 15, 2025
Merged

fix fetching usgs daily dv#530
samlamont merged 2 commits intomainfrom
526-usgs-fetching-for-dv-is-broken

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@samlamont samlamont merged commit c353c24 into main Sep 15, 2025
@samlamont samlamont deleted the 526-usgs-fetching-for-dv-is-broken branch September 15, 2025 14:45
samlamont added a commit that referenced this pull request Sep 15, 2025
* fix fetching usgs daily dv

* version bump
samlamont added a commit that referenced this pull request Sep 19, 2025
* evaluation migration playground

* 0.6.0dev0 version

* version file error messages

* clone iceberg template

* remove global var

* upgrade existing evaluation

* iceberg io wip

* iceberg writes and read

* initial iceberg IO

* fixing tests

* convert evaluation updates

* add null-safe equality for append and upsert; test updates

* updates

* sedona snapshot integration

* add jar to lfs

* config tests

* optional s3 read access

* fix test

* update ev.sql to require views list

* cleanup

* writer class wip

* remove playground test file

* set s3 access to True by default for tests

* update migrate

* writer class wip

* writer wip

* rename class

* remove writes from base table

* fix location table writes

* fix fetching usgs daily dv (#530)

* fix fetching usgs daily dv

* version bump

* implement extract class

* extract files in parallel

* option to extract timeseries concurrently

* get output filenames when parallel=True

* fix create_or_replace writes

* fix fetch writes

* cleanup

* validator class

* use validator when extracting to cache

* list tables and views; write to_view()

* update spark config to official sedona and iceberg releases, include geotools for raster ops

* config update

* update remove spark jar

* write parquet to cache using pyarrow schema

* fix geopandas case

* use write.to_cache() for fetched data

* fix fetching tests

* fix generate

* fix test

* fix clone from s3 writes

* workflow class; base table cleanup

* fix read from warehouse

* cleanup

* add joined_timeseries to initial schema and conversion script

* fix convert_to_iceberg to run as script

* script updates

* only trigger docs and tests on pr to main

* rename validation methods

* fix test
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