Update usage as post-hook in README.md

README.md

@@ -14,34 +14,30 @@ Algorithms for cleaning JWST data.
 
 ## Usage
 
-The steps in snowblind run like any other pipeline steps.  From the command line:
+The steps in snowblind run like any other pipeline steps.  From the command line you can run the step on the result file from JumpStep:
 
     strun snowblind jw001234_010203_00001_nrcalong_jump.fits --suffix=snowblind
 
-In Python:
+Or you can run it as a post-hook in a full pipeline
 
-    from snowblind import SnowblindStep
+    strun calwebb_detector1 jw001234_010203_00001_nrcalong_uncal.fits --steps.jump.post_hooks="snowblind.SnowblindStep","snowblind.JumpPlusStep"
+
+In Python, we can insert `SnowblindStep` and `JumpPlusStep` after `JumpStep` as a post-hook:
+
+    from snowblind import SnowblindStep, JumpPlusStep
     from jwst.pipeline import Detector1Pipeline
-    from jwst.step import RampFitStep
-    from jwst.step import GainScaleStep
 
 
     steps = {
         "jump": {
             "save_results": True,
-        },
-        "ramp_fit": {
-            "skip": True,
-        },
-        "gain_scale": {
-            "skip": True,
+            "post_hooks": [
+                "snowblind.SnowblindStep",
+                "snowblind.JumpPlusStep",
+            ],
         },
     }
 
-    Detector1Pipeline.call("jw001234_010203_00001_nrcalong_uncal.fits", steps=steps)
-    SnowblindStep.call("jw001234_010203_00001_nrcalong_jump.fits", save_results=True, suffix="snowblind")
-    rate, rateints = RampFitStep.call("jw001234_010203_00001_nrcalong_snowblind.fits")
-    rate = GainScaleStep.call(rate)
-    rate.save(rate.meta.filename.replace("snowblind", "rate"))
+    Detector1Pipeline.call("jw001234_010203_00001_nrcalong_uncal.fits", steps=steps, save_results=True)
 
 More to come on the other steps available.