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Log processed features before batch run #4

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Log processed features before batch run #4

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26 changes: 24 additions & 2 deletions run_batch_communities_local_memory_multi.py
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Original file line number Diff line number Diff line change
Expand Up @@ -67,14 +67,35 @@ def log_memory(stage):
def get_processed_ids_for_period(scale_folder, year1, year2):
processed_ids = set()
csv_pattern = os.path.join(scale_folder, f"master_flux_*_{year1}_{year2}_chunk_*.csv")
final_csv = os.path.join(scale_folder, "master_flux_final.csv")

for csv_file in glob.glob(csv_pattern):
df = pd.read_csv(csv_file, usecols=['FeatureID'])
processed_ids.update(df['FeatureID'].astype(str).unique())
try:
df = pd.read_csv(csv_file, usecols=["FeatureID"])
processed_ids.update(df["FeatureID"].astype(str).unique())
except Exception as e:
arcpy.AddWarning(f"Could not read existing chunk {csv_file}: {e}")

if os.path.exists(final_csv):
try:
df = pd.read_csv(final_csv, usecols=["FeatureID", "YearRange"])
period = f"{year1}-{year2}"
processed_ids.update(
df.loc[df["YearRange"] == period, "FeatureID"].astype(str).unique()
)
except Exception as e:
arcpy.AddWarning(f"Could not read final CSV {final_csv}: {e}")

return processed_ids


def log_preprocessed_features(processed_ids, year1, year2):
for fid in sorted(processed_ids):
arcpy.AddMessage(
f"Period {year1}-{year2}: FeatureID {fid} already processed; skipping"
)



# Process a single feature
def process_feature(feature_id, geometry, year1, year2, tree_canopy_source, scratch_gdb, recategorize_mode=False):
Expand Down Expand Up @@ -240,6 +261,7 @@ def run_batch(
arcpy.AddMessage(
f"Period {year1}-{year2}: found {len(processed_ids)} previously processed records"
)
log_preprocessed_features(processed_ids, year1, year2)

grouped_features = {}
with arcpy.da.SearchCursor(shapefile, [id_field, "STATEFP", "SHAPE@"]) as cursor:
Expand Down