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csst-pipeline
csst_proto
Commits
d8bfcf00
Commit
d8bfcf00
authored
Oct 28, 2022
by
BO ZHANG
🏀
Browse files
updated doc for CsstMsDataManager
parent
f8cf63f7
Pipeline
#237
passed with stages
in 17 seconds
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doc/source/ch08_csst_common.rst
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d8bfcf00
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@@ -17,32 +17,51 @@ To initilize from local directory:
...
@@ -17,32 +17,51 @@ To initilize from local directory:
from csst_common.data_manager import CsstMsDataManager
from csst_common.data_manager import CsstMsDataManager
# for full basic initialization
# for full basic initialization
dm
_mbi
= CsstMsDataManager.from_dir(
dm = CsstMsDataManager.from_dir(
ver_sim="C5.2", # version of simulation, "C5.2" is the latest
ver_sim="C5.2", # version of simulation, "C5.2" is the latest
d
ir_l0="
",
# the L0/input directory
d
atatype="mbi
",
# data type, "mbi", "sls" or "all"
dir_l
1
="",
# the L
1/out
put directory
dir_l
0
="
.
", # the L
0/in
put directory
dir_
pcref
="",
# position calibration reference (will be deprecated)
dir_
l1
="
.
",
# the L1/output directory
path_aux="", # aux file paths (master bias, dark, flat)
path_aux="", # aux file paths (master bias, dark, flat)
datatype="mbi", # "mbi", "sls" or "all"
dfs_mode=False, # if True, use DFS in pipeline modules
dfs_node='kmust', # DFS server, chosen from {"kmust", "pml"}
)
)
dm
_mbi.set_detectors(
detectors
=
None
)
# use all available detectors
dm
.target_
detectors
=
None
# use all available detectors
In particular, if you are on ``dandelion`` or ``PM node``, you can use a ``quickstart`` method.
In particular, if you are on ``dandelion`` or ``PML node``, you can use a ``quickstart`` method.
.. code-block:: python
.. code-block:: python
# for a quick start ()
# for a quick start ()
dm_mbi = CsstMsDataManager.quickstart(
dm = CsstMsDataManager.quickstart(
ver_sim="C5.2",
ver_sim='C5.2', # version of simulation, only "C5.2" is supported
datatype="mbi",
datatype='mbi', # data type, "mbi", "sls" or "all"
dir_l1=".",
dir_l1='.', # the L1/output directory
exposure_id=100 # the 100th exposure
exposure_id=100, # the exposure ID
dfs_mode=False, # if True, use DFS in pipeline modules
dfs_node='kmust', # DFS server, chosen from {"kmust", "pml"}
)
)
dm_mbi.set_detectors(detectors=None) # use all available detectors
dm
You will get the outputs:
.. code-block::
<CsstMsDataManager>
Data type = mbi
Valid detectors = [6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25]
Available detectors = [6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25]
Target detectors = [6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25]
dir_l0 = /nfsdata/share/csst_simulation_data/Cycle-5-SimuData/multipleBandsImaging/NGP_AstrometryON_shearOFF/MSC_0000100/
dir_l1 = .
dfs_mode = False
dfs_node = kmust
.. note::
.. note::
This ``quickstart`` method is ONLY available on
This ``quickstart`` method is ONLY available on
``dandelion`` or the ``P
urple Mountain Lab
node``.
``dandelion`` or the ``P
ML
node``.
In your local development environment, you have to use
In your local development environment, you have to use
``CsstMsDataManager.from_dir(...)`` to initialize it.
``CsstMsDataManager.from_dir(...)`` to initialize it.
...
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