inspect.py 4.26 KB
Newer Older
BO ZHANG's avatar
BO ZHANG committed
1
2
3
4
5
6
7
8
9
10
11
12
13
"""
Aim
---
Inspect a dataset.

Example
-------
python -m csst_dag.cli.inspect -h

python -m csst_dag.cli.inspect \
    --dataset=csst-msc-c9-25sqdeg-v3 \
    --instrument=MSC \
    --obs-type=WIDE \
BO ZHANG's avatar
BO ZHANG committed
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
    --obs-group=W2

25平方度宽场
python -m csst_dag.cli.inspect \
    --level=0 \
    --dataset=csst-msc-c9-25sqdeg-v3 \
    --instrument=MSC \
    --obs-type=WIDE

python -m csst_dag.cli.inspect \
    --level=0 \
    --dataset=csst-msc-c11-1000sqdeg-wide-test-v1 \
    --instrument=MSC \
    --obs-type=WIDE

python -m csst_dag.cli.inspect \
    --level=1 \
    --dataset=csst-msc-c11-1000sqdeg-wide-test-v1 \
    --instrument=MSC \
    --obs-type=WIDE \
    --data-model=csst-msc-l1-mbi \
    --batch-id=1000sqdeg-test-b1

CPIC:
python -m csst_dag.cli.inspect \
    --level=0 \
    --dataset=csst-cpic-c11-hip71681-v1 \
    --instrument=CPIC \
    --obs-type=SCI \
    --obs-group=hip71681

BO ZHANG's avatar
BO ZHANG committed
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
"""

import argparse

import numpy as np
from astropy import table

from csst_dag import Dispatcher, dfs

parser = argparse.ArgumentParser(
    description="Inspector for CSST datasets.",
    formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)

# data level
parser.add_argument("--level", type=int, help="Data level", default=0)
# level0 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)
BO ZHANG's avatar
BO ZHANG committed
68
parser.add_argument("--prc-status", type=int, help="Prc status", default=None)
BO ZHANG's avatar
BO ZHANG committed
69
70
71
72
73
# level1 data parameters
parser.add_argument("--data-model", type=str, help="Data model", default=None)
parser.add_argument("--batch-id", type=str, help="Batch ID", default=None)
# reset prc_status
parser.add_argument("--reset", type=int, help="Reset prc_status", default=None)
BO ZHANG's avatar
BO ZHANG committed
74
75
# additional options
parser.add_argument("--verbose", action="store_true", help="Verbose mode", default=False)
BO ZHANG's avatar
BO ZHANG committed
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
args = parser.parse_args()

# from csst_dag import DotDict
#
# args = DotDict(
#     dataset="csst-msc-c9-25sqdeg-v3",
#     instrument="MSC",
#     obs_type="WIDE",
#     obs_group="W2",
#     obs_id=None,
#     detector=None,
#     prc_status=None,
# )

print("CLI parameters: ", args)

if args.level == 0:
    print("Inspecting level0 data...")
    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,
    )
else:
    print("Inspecting level1 data...")
    plan_basis, data_basis = Dispatcher.find_plan_level1_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,
        data_model=args.data_model,
        batch_id=args.batch_id,
    )
print(f"{len(plan_basis)} plan basis, {len(data_basis)} data basis found")
BO ZHANG's avatar
BO ZHANG committed
116
# data_basis.remove_columns(["file_name", "_id"])
BO ZHANG's avatar
BO ZHANG committed
117

118
119
120
121
122
123
124
125
126
127
128
129
stats_config = dict(
    prc_status=["dataset", "prc_status"],
    obs_type=["dataset", "instrument", "obs_type", "prc_status"],
    obs_group=["dataset", "instrument", "obs_type", "obs_group", "prc_status"],
    detector=["dataset", "instrument", "obs_type", "obs_group", "detector", "prc_status"],
    obs_id=["dataset", "instrument", "obs_type", "obs_group", "obs_id", "prc_status"],
)
if args.level == 1:
    for k in stats_config.keys():
        stats_config[k].extend(["batch_id", "build"])

for stats_type, stats_keys in stats_config.items():
BO ZHANG's avatar
BO ZHANG committed
130
131
    if args.verbose:
        data_basis.pprint_all()
BO ZHANG's avatar
BO ZHANG committed
132
133
134
135
136
137
138
139
    print("\n>>> STATS DIM: ", stats_type)
    u_data, c_data = np.unique(data_basis[stats_keys], return_counts=True)
    u_table = table.Table(u_data)
    u_table.add_column(table.Column(c_data, name="count"))
    u_table.pprint_all()

if args.reset is not None:
    print("Resetting prc_status to ", args.reset)
BO ZHANG's avatar
tweaks    
BO ZHANG committed
140
141
142
143
    dfs.update_prc_status_by_ids(
        list(data_basis["_id"]),
        args.reset,
    )