Commit f7501d60 authored by BO ZHANG's avatar BO ZHANG 🏀
Browse files

add csst_dag.cli.csst_cpic_l1

parent 88da0a3e
"""
Aim
---
Process an CPIC dataset, given a set of parameters.
Example
-------
python -m csst_dag.cli.cpic -h
python -m csst_dag.cli.cpic \
--dataset=csst-cpic-c11-hip71681-v1 \
--obs-group=hip71681 \
--batch-id=csci-test-20250507 \
--priority=1 \
--initial-prc-status=-1024 \
--final-prc-status=-2 \
--demo
"""
from csst_dag.dag import CsstDAG
import argparse
parser = argparse.ArgumentParser(
description="Scheduler for CPIC L1 pipeline.",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
parser.add_argument("--dataset", type=str, help="Dataset name")
# parser.add_argument("--instrument", type=str, help="Instrument name", default="CPIC")
parser.add_argument("--obs-group", type=str, help="Observation group", default="none")
parser.add_argument("--obs-type", type=str, help="Observation type", default="")
parser.add_argument("--batch-id", type=str, help="Batch ID", default="default_batch")
parser.add_argument("--priority", type=str, help="Task priority", default=1)
parser.add_argument(
"--initial-prc-status", type=int, help="Initial processing status", default=-1024
)
parser.add_argument(
"--final-prc-status", type=int, help="Final processing status", default=-2
)
parser.add_argument(
"--demo", action="store_true", help="Enable demo mode", default=False
)
args = parser.parse_args()
print("CLI parameters: ", args)
DAG_LOOP_MAP = {
"SCI": ["csst-cpic-l1"],
"DSF": ["csst-cpic-l1"],
"CALS": ["csst-cpic-l1"],
"BIAS": ["csst-cpic-l1-qc0"],
"DARK": ["csst-cpic-l1-qc0"],
"FLAT": ["csst-cpic-l1-qc0"],
"BKG": ["csst-cpic-l1-qc0"],
"LASER": ["csst-cpic-l1-qc0"],
}
if args.obs_type:
assert args.obs_type in DAG_LOOP_MAP.keys(), f"Unknown obs_type: {args.obs_type}"
DAG_LOOP_MAP = {args.obs_type: DAG_LOOP_MAP[args.obs_type]}
for obs_type, dag_ids in DAG_LOOP_MAP.items():
print(f"* Processing {obs_type}")
for dag_id in dag_ids:
print(f" - Scheduling `{dag_id}` -> ", end="")
dag = CsstDAG.get_dag(dag_id=dag_id)
msgs = dag.schedule(
dataset=args.dataset,
obs_type=obs_type,
obs_group=args.obs_group,
batch_id=args.batch_id,
initial_prc_status=args.initial_prc_status,
final_prc_status=args.final_prc_status,
demo=True,
priority=args.priority,
)
print(f"{len(msgs)} tasks.")
"""
Aim
---
Process an MSC dataset, given a set of parameters.
Example
-------
python -m csst_dag.cli.csst_msc_l1 -h
python -m csst_dag.cli.csst_msc_l1 \
--dataset=csst-msc-c9-25sqdeg-v3 \
--instrument=MSC \
--obs-type=WIDE \
--obs-group=W2 \
--obs-id=10100232366 \
--detector=09 \
--prc-status=-1024 \
--batch-id=test-b1 \
--priority=1 \
--pmapname=csst_000070.pmap \
--ref-cat=trilegal_093
"""
import argparse
import os
import joblib
from csst_dag import CSST_DAGS, Dispatcher, BaseDAG, dfs
parser = argparse.ArgumentParser(
description="Scheduler for CSST MSC L1 pipeline.",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
# data parameters
parser.add_argument("--dataset", type=str, help="Dataset name")
parser.add_argument("--instrument", type=str, help="Instrument name", default=None)
parser.add_argument("--obs-type", type=str, help="Observation type", default=None)
parser.add_argument("--obs-group", type=str, help="Observation group", default=None)
parser.add_argument("--obs-id", type=str, help="Observation ID", default=None)
parser.add_argument("--detector", type=str, help="Detector name", default=None)
parser.add_argument(
"--prc-status", type=int, help="Initial processing status", default=None
)
# task parameters
parser.add_argument("--batch-id", type=str, help="Batch ID", default="test-batch")
parser.add_argument("--priority", type=str, help="Task priority", default=1)
# DAG parameters
parser.add_argument("--pmapname", type=str, help="CCDS pmapname", default="")
parser.add_argument(
"--ref-cat", type=str, help="Reference catalog", default="trilegal_093"
)
# submit
parser.add_argument("--submit", action="store_true", help="Push results", default=False)
# post-processing parameters
parser.add_argument(
"--final-prc-status", type=int, help="Final processing status", default=-2
)
args = parser.parse_args()
print("CLI parameters: ", args)
plan_basis, data_basis = Dispatcher.find_plan_level0_basis(
dataset=args.dataset,
instrument=args.instrument,
obs_type=args.obs_type,
obs_group=args.obs_group,
obs_id=args.obs_id,
detector=args.detector,
prc_status=args.prc_status,
)
print(f"{len(plan_basis)} plan basis, {len(data_basis)} data basis found")
# generate DAG group run
dag_group_run = BaseDAG.gen_dag_group_run(
dag_group="csst-msc-l1",
batch_id=args.batch_id,
priority=args.priority,
)
# generate DAG run list
dag_run_list = []
for dag in [
"csst-cpic-l1",
"csst-cpic-l1-qc0",
]:
this_dag_run_list = CSST_DAGS["csst-msc-l1-mbi"].schedule(
dag_group_run=dag_group_run,
plan_basis=plan_basis,
data_basis=data_basis,
pmapname=args.pmapname,
ref_cat=args.ref_cat,
)
print(f"- [{dag}] : {len(this_dag_run_list)} dag_runs")
dag_run_list.extend(this_dag_run_list)
# print dag_group_run and dag_run_list
print(">>> dag_group_run:")
for k, v in dag_group_run.items():
print(f"\t- {k}: {v}")
print(f">>> dag_run_list[{len(dag_run_list)}]:")
if len(dag_run_list) > 0:
for dag_run in dag_run_list:
print(f"\t- {dag_run}")
# dump dag_group_run
joblib.dump(
dict(
dag_group_run=dag_group_run,
dag_run_list=dag_run_list,
),
os.path.join(
os.getenv("HOME"),
"csst_dag",
f"{dag_group_run['dag_group_run']}.joblib",
),
)
# submit DAG group run
if args.submit:
res = dfs.dag.new_dag_group_run(
dag_group_run=dag_group_run,
dag_run_list=dag_run_list,
)
print(res)
...@@ -20,14 +20,13 @@ python -m csst_dag.cli.csst_msc_l1 \ ...@@ -20,14 +20,13 @@ python -m csst_dag.cli.csst_msc_l1 \
--pmapname=csst_000070.pmap \ --pmapname=csst_000070.pmap \
--ref-cat=trilegal_093 --ref-cat=trilegal_093
# 25平方度宽场
python -m csst_dag.cli.csst_msc_l1 \ python -m csst_dag.cli.csst_msc_l1 \
--dataset=csst-msc-c9-25sqdeg-v3 \ --dataset=csst-msc-c9-25sqdeg-v3 \
--instrument=MSC \ --instrument=MSC \
--obs-type=WIDE \ --obs-type=WIDE \
--obs-group=W2 \ --prc-status=-2 \
--obs-id=10100232366 \ --batch-id=25sqdeg-test-b2 \
--detector=09 \
--batch-id=test-b1 \
--priority=1 \ --priority=1 \
--pmapname=csst_000070.pmap \ --pmapname=csst_000070.pmap \
--ref-cat=trilegal_093 \ --ref-cat=trilegal_093 \
...@@ -37,18 +36,19 @@ python -m csst_dag.cli.csst_msc_l1 \ ...@@ -37,18 +36,19 @@ python -m csst_dag.cli.csst_msc_l1 \
python -m csst_dag.cli.csst_msc_l1 \ python -m csst_dag.cli.csst_msc_l1 \
--dataset=csst-msc-c11-1000sqdeg-wide-test-v1 \ --dataset=csst-msc-c11-1000sqdeg-wide-test-v1 \
--instrument=MSC \ --instrument=MSC \
--prc-status=-1024 \
--batch-id=1000sqdeg-test-b1 \ --batch-id=1000sqdeg-test-b1 \
--ref-cat=trilegal_1000_w1 \ --ref-cat=trilegal_1000_w1 \
--submit --submit
""" """
import argparse
import os import os
from csst_dag.dag import CSST_DAGS, Dispatcher, BaseDAG
from csst_dag import dfs
import argparse
import joblib import joblib
from csst_dag import CSST_DAGS, Dispatcher, BaseDAG, dfs
parser = argparse.ArgumentParser( parser = argparse.ArgumentParser(
description="Scheduler for CSST MSC L1 pipeline.", description="Scheduler for CSST MSC L1 pipeline.",
formatter_class=argparse.ArgumentDefaultsHelpFormatter, formatter_class=argparse.ArgumentDefaultsHelpFormatter,
...@@ -134,16 +134,18 @@ for dag in [ ...@@ -134,16 +134,18 @@ for dag in [
pmapname=args.pmapname, pmapname=args.pmapname,
ref_cat=args.ref_cat, ref_cat=args.ref_cat,
) )
print(f"- [{dag}] : {len(this_dag_run_list)} dag_runs")
dag_run_list.extend(this_dag_run_list) dag_run_list.extend(this_dag_run_list)
# print dag_group_run and dag_run_list # print dag_group_run and dag_run_list
print("`dag_group_run`:") print(">>> dag_group_run:")
for k, v in dag_group_run.items(): for k, v in dag_group_run.items():
print(f"\t- {k}: {v}") print(f"\t- {k}: {v}")
print(f"`dag_run_list`[{len(dag_run_list)}]:") print(f">>> dag_run_list[{len(dag_run_list)}]:")
if len(dag_run_list) > 0: if len(dag_run_list) > 0:
for k, v in dag_run_list[0].items(): for dag_run in dag_run_list:
print(f"\t- {k}: {v}") print(f"\t- {dag_run}")
# dump dag_group_run # dump dag_group_run
joblib.dump( joblib.dump(
dict( dict(
......
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