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"""
Commands for searching ASDF trees
"""
import json
import asdf
from .main import Command
__all__ = ["search"]
class Search(Command):
@classmethod
def setup_arguments(cls, subparsers):
parser = subparsers.add_parser(
"search",
help="Search an ASDF file.",
description="Search the contents of an ASDF file and render the search result as text.",
)
parser.add_argument("filename", help="ASDF file to search")
parser.add_argument(
"--key",
type=str,
help="If provided, search the ASDF tree for keys that match the provided regular expression.",
)
parser.add_argument(
"--type",
type=str,
help=(
"If provided, search the ASDF tree for nodes of the provided type. "
"Must be an importable path or member of builtins. "
"For arrays either numpy.ndarray or asdf.tags.core.ndarray.NDArrayType can be used."
),
)
parser.add_argument(
"--value",
type=str,
help=(
"If provided, search the ASDF tree for nodes that match the provided value. "
"The provided string will be json decoded (and fall back to the raw string if json decoding fails)."
),
)
parser.add_argument(
"--max-rows", type=int, help="Maximum number of lines to print. If not provided all lines will be shown."
)
parser.add_argument(
"--max-cols", type=int, help="Maximum length of line. If not provided lines will have no length limit."
)
parser.add_argument(
"--show-values",
dest="show_values",
action="store_true",
help="Display primitive values in the rendered tree (by default, enabled).",
)
parser.add_argument("--no-show-values", dest="show_values", action="store_false")
parser.set_defaults(show_values=True)
parser.set_defaults(func=cls.run)
return parser
@classmethod
def run(cls, args):
search(args.filename, args.key, args.type, args.value, args.max_rows, args.max_cols, args.show_values)
def search(filename, key, type_, value, max_rows, max_cols, show_values):
query = {}
if key is not None:
query["key"] = key
if type_ is not None:
if type_ == "numpy.ndarray":
type_ = "asdf.tags.core.ndarray.NDArrayType"
if "." not in type_:
type_ = f"builtins.{type_}"
module, class_name = type_.rsplit(".", maxsplit=1)
query["type_"] = getattr(__import__(module, fromlist=[class_name]), class_name)
if value is not None:
try:
value = json.loads(value)
except json.decoder.JSONDecodeError:
pass
query["value"] = value
with asdf.open(filename) as af:
result = af.search(**query)
print(result.format(max_rows, max_cols, show_values))
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