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add stac item to candidate to be able to run prediction #486

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Merged
iferencik merged 1 commit into from
Nov 5, 2025
Merged

add stac item to candidate to be able to run prediction #486

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1 change: 1 addition & 0 deletions rapida/components/landuse/search_utils/mgrstiles.py
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Original file line number Diff line number Diff line change
Expand Up @@ -29,6 +29,7 @@ class Candidate:
tile_geometry: Polygon = None
mgrs_geometry: Polygon = None
mgrs_crs: pyproj.CRS = None
stac_item: dict = None

@property
def quality_score(self) -> float:
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1 change: 0 additions & 1 deletion rapida/components/landuse/search_utils/s2item.py
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Expand Up @@ -342,7 +342,6 @@ async def _cleanup_tmp(path: str):
]

try:
logger.info(f'Downloading {dst}')
# 4) Write chunks to TMP (global timeout)
async with aiofiles.open(tmp, "wb") as f:
async with asyncio.timeout(timeout_minutes * 60):
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29 changes: 15 additions & 14 deletions rapida/components/landuse/search_utils/search.py
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Expand Up @@ -53,7 +53,8 @@ def create_candidate(it, mgrs_id, ref_ts, mgrs_poly, mgrs_crs):
data_coverage=tile_info["dataCoveragePercentage"],
ref_ts=ref_ts,
mgrs_geometry=mgrs_poly,
mgrs_crs=mgrs_crs
mgrs_crs=mgrs_crs,
stac_item = it
)

def search( client=None, collection="sentinel-2-l1c",
Expand Down Expand Up @@ -303,7 +304,8 @@ def fetch_s2_tiles(

from rapida.util.setup_logger import setup_logger
from rapida.components.landuse.search_utils.s2item import Sentinel2Item

from rapida.components.landuse.prediction.landuse import LandusePrediction
from pystac import Item
# logger.setLevel(logging.DEBUG)
logger = setup_logger(level=logging.INFO)
CATALOG_URL = "https://earth-search.aws.element84.com/v1"
Expand All @@ -315,7 +317,7 @@ def fetch_s2_tiles(


bbox = 33, -1, 37, 2

bands = LandusePrediction.required_bands


with Progress() as progress:
Expand All @@ -327,26 +329,25 @@ def fetch_s2_tiles(
end_date = "2025-08-30"
results = fetch_s2_tiles(bbox=bbox,stac_url=CATALOG_URL,
start_date=start_date, end_date=end_date,
max_cloud_cover=max_cloud_cover, progress=progress,filter_for_dev=['36NWF'])
max_cloud_cover=max_cloud_cover, progress=progress,filter_for_dev=['36MZE'])



bands = ['B01', 'B02', 'B03', 'B04', 'B05']
bands = ['B03']
band_files = {}

for grid, candidates in results.items():
try:
#logger.info(f'{grid}: {[c for c in candidates]}')
s2i = Sentinel2Item(mgrs_grid=grid, s2_tiles=candidates, workdir='/tmp', target_crs='ESRI:54034')
downloaded = s2i.download(bands=bands, progress=progress, force=False)
# for k, v in s2i.vrt.items():
# pass
# with rasterio.open(v) as vsrc:
# print(k, tuple(vsrc.bounds))
# for bname, bfile in downloaded.items():
# if not bname in band_files:
# band_files[bname] = []
# band_files[bname].append(bfile)
img_paths = [downloaded[b] for b in bands]
itm = Item.from_dict(candidates[0].stac_item)
landuse_prediction = LandusePrediction(item=itm)
landuse_prediction.predict(img_paths=img_paths,
output_file_path=f'/tmp/landuse_36MZE.tif',

progress=progress)



except KeyboardInterrupt:
Expand Down