updated README.md

README.md

@@ -94,3 +94,35 @@ The `csst_proto` uses an awesome algorithm based on `numpy.ndarray` indices to f
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+
+## `data manager`
+
+```python
+import os
+from csst.ms.data_manager import CsstMscDataManager
+from csst.ms.backbone import CCD_ID_LIST
+
+# initialize data manager
+dm = CsstMscDataManager(
+    ver_sim="C5.1", dir_l0="/data/sim_data/MSC_0000100", dir_l1="/home/user/L1Pipeline/msc/work")
+# process all CCDs
+dm.set_ccd_ids(CCD_ID_LIST)
+
+print("----- available ccd_ids -----")
+print(dm.available_ccd_ids)
+for ccd_id in dm.target_ccd_ids:
+    print("----- L0 images -----")
+    print(dm.l0_ccd(ccd_id=ccd_id))
+    print(os.path.exists(dm.l0_ccd(ccd_id=ccd_id)))
+    print("----- L0 crs -----")
+    print(dm.l0_crs(ccd_id=ccd_id))
+    print(os.path.exists(dm.l0_ccd(ccd_id=ccd_id)))
+    print("----- L0 input cat -----")
+    print(dm.l0_cat(ccd_id=ccd_id))
+    print(os.path.exists(dm.l0_cat(ccd_id=ccd_id)))
+    print("----- L0 input log -----")
+    print(dm.l0_log(ccd_id=ccd_id))
+    print(os.path.exists(dm.l0_log(ccd_id=ccd_id)))
+    print("----- L1 images -----")
+    print(dm.l1_ccd(ccd_id, post="img.fits"))
+```
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