DimensionConfig

class lsst.daf.butler.DimensionConfig(other=None, validate=True, mergeDefaults=True, searchPaths=None)

Bases: lsst.daf.butler.ConfigSubset

Configuration that defines a DimensionUniverse.

The configuration tree for dimensions is a (nested) dictionary with four top-level entries:

• version: an integer version number, used as keys in a singleton registry of all DimensionUniverse instances;
• skypix: a dictionary whose entries each define a SkyPixDimension, along with a special “common” key whose value is the name of a skypix dimension that is used to relate all other spatial dimensions in the Registry database;
• elements: a nested dictionary whose entries each define a non-skypix DimensionElement;
• packers: a nested dictionary whose entries define a factory for a DimensionPacker instance.

Attributes Summary

component
defaultConfigFile
includeKey
requiredKeys

Methods Summary

asArray(name)	Get a value as an array.
clear()
copy()
defaultSearchPaths()	Read the environment to determine search paths to use for global defaults.
dump(output)	Writes the config to a yaml stream.
dumpToFile(path, *[, overwrite])	Writes the config to a file.
dumpToS3File(uri, *[, overwrite])	Writes the config to a file in S3 Bucket.
dumpToUri(uri[, updateFile, …])	Writes the config to location pointed to by given URI.
fromYaml(string)	Create a new Config instance from a YAML string.
get(k[,d])
items()
keys()
merge(other)	Like Config.update, but will add keys & values from other that DO NOT EXIST in self.
nameTuples([topLevelOnly])	Get tuples representing the name hierarchies of all keys.
names([topLevelOnly, delimiter])	Get a delimited name of all the keys in the hierarchy.
pop(k[,d])	If key is not found, d is returned if given, otherwise KeyError is raised.
popitem()	as a 2-tuple; but raise KeyError if D is empty.
ppprint()	helper function for debugging, prints a config out in a readable way in the debugger.
setdefault(k[,d])
update(other)	Like dict.update, but will add or modify keys in nested dicts, instead of overwriting the nested dict entirely.
updateParameters(configType, config, full[, …])	Generic helper function for updating specific config parameters.
validate()	Check that mandatory keys are present in this configuration.
values()

Attributes Documentation

component = 'dimensions'

defaultConfigFile = 'dimensions.yaml'

includeKey = 'includeConfigs'

requiredKeys = ('version', 'elements', 'skypix')

Methods Documentation

asArray(name)

Get a value as an array.

May contain one or more elements.

Parameters:

name : str

Key to use to retrieve value.

Returns:

array : collections.abc.Sequence

The value corresponding to name, but guaranteed to be returned as a list with at least one element. If the value is a Sequence (and not a str) the value itself will be returned, else the value will be the first element.

clear() → None. Remove all items from D.

copy()

classmethod defaultSearchPaths()

Read the environment to determine search paths to use for global defaults.

Global defaults, at lowest priority, are found in the config directory of the butler source tree. Additional defaults can be defined using the environment variable $DAF_BUTLER_CONFIG_PATHS which is a PATH-like variable where paths at the front of the list have priority over those later.

Returns:

paths : list

Returns a list of paths to search. The returned order is in priority with the highest priority paths first. The butler config directory will always be at the end of the list.

dump(output)

Writes the config to a yaml stream.

Parameters:

output

The YAML stream to use for output.

dumpToFile(path, *, overwrite=True)

Writes the config to a file.

Parameters:

path : str

Path to the file to use for output.

overwrite : bool, optional

If True any existing file will be over written.

Raises:

FileExistsError

Raised if the file already exists but overwrite is False.

Notes

The name of the config file is stored in the Config object.

dumpToS3File(uri, *, overwrite=True)

Writes the config to a file in S3 Bucket.

Parameters:

uri : ButlerURI

S3 URI where the configuration should be stored.

overwrite : bool, optional

If False, a check will be made to see if the key already exists.

Raises:

FileExistsError

Raised if the configuration already exists at this location and overwrite is set to False.

dumpToUri(uri, updateFile=True, defaultFileName='butler.yaml', overwrite=True)

Writes the config to location pointed to by given URI.

Currently supports ‘s3’ and ‘file’ URI schemes.

Parameters:

uri: `str` or `ButlerURI`

URI of location where the Config will be written.

updateFile : bool, optional

If True and uri does not end on a filename with extension, will append defaultFileName to the target uri. True by default.

defaultFileName : bool, optional

The file name that will be appended to target uri if updateFile is True and uri does not end on a file with an extension.

overwrite : bool, optional

If True the configuration will be written even if it already exists at that location.

classmethod fromYaml(string: str) → lsst.daf.butler.core.config.Config

Create a new Config instance from a YAML string.

Parameters:

string : str

String containing content in YAML format

Returns:

c : Config

Newly-constructed Config.

get(k[, d]) → D[k] if k in D, else d. d defaults to None.

items() → a set-like object providing a view on D's items

keys() → a set-like object providing a view on D's keys

merge(other)

Like Config.update, but will add keys & values from other that DO NOT EXIST in self.

Keys and values that already exist in self will NOT be overwritten.

Parameters:

other : dict or Config

Source of configuration:

nameTuples(topLevelOnly=False)

Get tuples representing the name hierarchies of all keys.

The tuples returned from this method are guaranteed to be usable to access items in the configuration object.

Parameters:

topLevelOnly : bool, optional

If False, the default, a full hierarchy of names is returned. If True, only the top level are returned.

Returns:

names : list of tuple of str

List of all names present in the Config where each element in the list is a tuple of strings representing the hierarchy.

names(topLevelOnly=False, delimiter=None)

Get a delimited name of all the keys in the hierarchy.

The values returned from this method are guaranteed to be usable to access items in the configuration object.

Parameters:

topLevelOnly : bool, optional

If False, the default, a full hierarchy of names is returned. If True, only the top level are returned.

delimiter : str, optional

Delimiter to use when forming the keys. If the delimiter is present in any of the keys, it will be escaped in the returned names. If None given a delimiter will be automatically provided. The delimiter can not be alphanumeric.

Returns:

names : list of str

List of all names present in the Config.

Raises:

ValueError:

The supplied delimiter is alphanumeric.

Notes

This is different than the built-in method dict.keys, which will return only the first level keys.

pop(k[, d]) → v, remove specified key and return the corresponding value.

If key is not found, d is returned if given, otherwise KeyError is raised.

popitem() → (k, v), remove and return some (key, value) pair

as a 2-tuple; but raise KeyError if D is empty.

ppprint()

helper function for debugging, prints a config out in a readable way in the debugger.

use: pdb> print(myConfigObject.ppprint())

Returns:

s : str

A prettyprint formatted string representing the config

setdefault(k[, d]) → D.get(k,d), also set D[k]=d if k not in D

update(other)

Like dict.update, but will add or modify keys in nested dicts, instead of overwriting the nested dict entirely.

For example, for the given code: foo = {“a”: {“b”: 1}} foo.update({“a”: {“c”: 2}})

Parameters:

other : dict or Config

Source of configuration:

• If foo is a dict, then after the update foo == {“a”: {“c”: 2}}
• But if foo is a Config, then after the update foo == {“a”: {“b”: 1, “c”: 2}}

static updateParameters(configType, config, full, toUpdate=None, toCopy=None, overwrite=True)

Generic helper function for updating specific config parameters.

Allows for named parameters to be set to new values in bulk, and for other values to be set by copying from a reference config.

Assumes that the supplied config is compatible with configType and will attach the updated values to the supplied config by looking for the related component key. It is assumed that config and full are from the same part of the configuration hierarchy.

Parameters:

configType : ConfigSubset

Config type to use to extract relevant items from config.

config : Config

A Config to update. Only the subset understood by the supplied ConfigSubset will be modified. Default values will not be inserted and the content will not be validated since mandatory keys are allowed to be missing until populated later by merging.

full : Config

A complete config with all defaults expanded that can be converted to a configType. Read-only and will not be modified by this method. Values are read from here if toCopy is defined.

Repository-specific options that should not be obtained from defaults when Butler instances are constructed should be copied from full to config.

toUpdate : dict, optional

A dict defining the keys to update and the new value to use. The keys and values can be any supported by Config assignment.

toCopy : tuple, optional

tuple of keys whose values should be copied from full into config.

overwrite : bool, optional

If False, do not modify a value in config if the key already exists. Default is always to overwrite.

Raises:

ValueError

Neither toUpdate not toCopy were defined.

validate()

Check that mandatory keys are present in this configuration.

Ignored if requiredKeys is empty.

values() → an object providing a view on D's values