From bc7830822bd7b5ef20a99419837beb7ab4708196 Mon Sep 17 00:00:00 2001
From: Felix Delattre <felix@delattre.de>
Date: Wed, 15 Apr 2026 18:29:17 +0200
Subject: [PATCH] foo

---
 run.py | 45 +++++++++++++++++++++++++--------------------
 1 file changed, 25 insertions(+), 20 deletions(-)

diff --git a/run.py b/run.py
index ff5af95..f590008 100644
--- a/run.py
+++ b/run.py
@@ -4,9 +4,10 @@ from postprocessing import (
     post_process_all_itb_scenarios,
     post_process_timeseries,
 )
-from acquisition_s2 import download_s2
-from acquisition_s3 import download_s3
-from acquisition_phenocam import download_phenocam
+
+# from acquisition_s2 import download_s2
+# from acquisition_s3 import download_s3
+# from acquisition_phenocam import download_phenocam
 from preselection import create_timeseries
 from preparation import (
     prepare_s2,
@@ -26,33 +27,37 @@ def run_pipeline(season, site_position, site_name):
         # download_s3(season, site_position, site_name)
         # download_phenocam(season, site_position, site_name)
 
-        # print(f"Creating preselection timeseries: {site_name}, {season}")
-        # create_timeseries(season, site_position, site_name)
+        print(f"Creating preselection timeseries: {site_name}, {season}")
+        create_timeseries(season, site_position, site_name)
 
-        # print(f"Preparing S2 and S3 for fusion: {site_name}, {season}")
-        # for strategy in ["aggressive", "nonaggressive"]:
-        #     prepare_s2(season, site_position, site_name, cleaning_strategy=strategy)
-        #     prepare_s3(season, site_position, site_name, cleaning_strategy=strategy)
+        print(f"Preparing S2 and S3 for fusion: {site_name}, {season}")
+        for strategy in ["aggressive", "nonaggressive"]:
+            prepare_s2(season, site_position, site_name, cleaning_strategy=strategy)
+            prepare_s3(season, site_position, site_name, cleaning_strategy=strategy)
 
-        # print(f"Running EFAST fusion for all scenarios: {site_name}, {season}")
-        # run_all_efast_scenarios(season, site_position, site_name)
+        print(f"Running EFAST fusion for all scenarios: {site_name}, {season}")
+        run_all_efast_scenarios(season, site_position, site_name)
 
-        # Index-then-Blend (ItB): GCC stacks, EFAST fusion with product=GCC
-        # for strategy in ["aggressive", "nonaggressive"]:
-        #     prepare_s2_gcc_for_itb(season, site_position, site_name, cleaning_strategy=strategy)
-        #     prepare_s3_gcc_for_itb(season, site_position, site_name, cleaning_strategy=strategy)
-        # run_all_efast_itb_scenarios(season, site_position, site_name)
-        # post_process_all_itb_scenarios(season, site_position, site_name)
+        print(f"Index-then-Blend (ItB): {site_name}, {season}")
+        for strategy in ["aggressive", "nonaggressive"]:
+            prepare_s2_gcc_for_itb(
+                season, site_position, site_name, cleaning_strategy=strategy
+            )
+            prepare_s3_gcc_for_itb(
+                season, site_position, site_name, cleaning_strategy=strategy
+            )
+        run_all_efast_itb_scenarios(season, site_position, site_name)
+        post_process_all_itb_scenarios(season, site_position, site_name)
 
         print(f"Creating prepared/fusion timeseries: {site_name}, {season}")
         create_prepared_fusion_timeseries(season, site_position, site_name)
 
-        print(f"Post-processing: {site_name}, {season}")
-        # post_process_all_scenarios(season, site_position, site_name)
+        print(f"Post-processing (crop): {site_name}, {season}")
+        post_process_all_scenarios(season, site_position, site_name)
         post_process_timeseries(season, site_position, site_name)
 
         print(f"Calculating metrics: {site_name}, {season}")
-        # calculate_all_metrics(season, site_name, site_position)
+        calculate_all_metrics(season, site_name, site_position)
 
     except Exception as e:
         print(f"Error: {e}")