lamindb.Storage¶
- class lamindb.Storage(root: str, type: str, region: str | None)¶
Bases:
Record
,TracksRun
,TracksUpdates
Storage locations.
A storage location is either a directory/folder (local or in the cloud) or an entire S3/GCP bucket.
A LaminDB instance can manage and link multiple storage locations. But any storage location is managed by at most one LaminDB instance.
Managed vs. linked storage locations
The LaminDB instance can update & delete artifacts in managed storage locations but merely read artifacts in linked storage locations.
When you transfer artifacts from another instance, the default is to only copy metadata into the target instance, but merely link the data.
The
instance_uid
field indicates the managing LaminDB instance of a storage location.When you delete a LaminDB instance, you’ll be warned about data in managed storage locations while data in linked storage locations is ignored.
See also
storage
Default storage.
StorageSettings
Storage settings.
Examples
Configure the default storage location upon initiation of a LaminDB instance:
lamin init --storage ./mydata # or "s3://my-bucket" or "gs://my-bucket"
View the default storage location:
>>> ln.settings.storage PosixPath('/home/runner/work/lamindb/lamindb/docs/guide/mydata')
Dynamically change the default storage:
>>> ln.settings.storage = "./storage_2" # or a cloud bucket
Attributes¶
Simple fields¶
-
uid:
str
¶ Universal id, valid across DB instances.
-
root:
str
¶ Root path of storage. n s3 path. local path, etc. (required).
-
description:
str
|None
¶ A description of what the storage location is used for (optional).
-
type:
str
¶ Can be “local” vs. “s3” vs. “gs”.
-
region:
str
|None
¶ Cloud storage region, if applicable.
-
instance_uid:
str
|None
¶ Instance that manages this storage location.
-
created_at:
datetime
¶ Time of creation of record.
-
updated_at:
datetime
¶ Time of last update to record.
Relational fields¶
Class methods¶
- classmethod df(include=None, join='inner', limit=100)¶
Convert to
pd.DataFrame
.By default, shows all direct fields, except
updated_at
.Use parameter
include
to include other fields.- Parameters:
include (
str
|list
[str
] |None
, default:None
) – Related fields to include as columns. Takes strings of form"labels__name"
,"cell_types__name"
, etc. or a list of such strings.join (
str
, default:'inner'
) – Thejoin
parameter ofpandas
.limit (
int
, default:100
) – Maximum number of rows to display from a Pandas DataFrame. Defaults to 100 to reduce database load.
- Return type:
DataFrame
Examples
>>> labels = [ln.ULabel(name="Label {i}") for i in range(3)] >>> ln.save(labels) >>> ln.ULabel.filter().df(include=["created_by__name"])
- classmethod filter(*queries, **expressions)¶
Query records.
- Parameters:
queries – One or multiple
Q
objects.expressions – Fields and values passed as Django query expressions.
- Return type:
QuerySet
- Returns:
A
QuerySet
.
See also
Guide: Query & search registries
Django documentation: Queries
Examples
>>> ln.ULabel(name="my label").save() >>> ln.ULabel.filter(name__startswith="my").df()
- classmethod get(idlike=None, **expressions)¶
Get a single record.
- Parameters:
idlike (
int
|str
|None
, default:None
) – Either a uid stub, uid or an integer id.expressions – Fields and values passed as Django query expressions.
- Return type:
- Returns:
A record.
- Raises:
lamindb.core.exceptions.DoesNotExist – In case no matching record is found.
See also
Guide: Query & search registries
Django documentation: Queries
Examples
>>> ulabel = ln.ULabel.get("FvtpPJLJ") >>> ulabel = ln.ULabel.get(name="my-label")
- classmethod lookup(field=None, return_field=None)¶
Return an auto-complete object for a field.
- Parameters:
field (
str
|DeferredAttribute
|None
, default:None
) – The field to look up the values for. Defaults to first string field.return_field (
str
|DeferredAttribute
|None
, default:None
) – The field to return. IfNone
, returns the whole record.
- Return type:
NamedTuple
- Returns:
A
NamedTuple
of lookup information of the field values with a dictionary converter.
See also
Examples
>>> import bionty as bt >>> bt.settings.organism = "human" >>> bt.Gene.from_source(symbol="ADGB-DT").save() >>> lookup = bt.Gene.lookup() >>> lookup.adgb_dt >>> lookup_dict = lookup.dict() >>> lookup_dict['ADGB-DT'] >>> lookup_by_ensembl_id = bt.Gene.lookup(field="ensembl_gene_id") >>> genes.ensg00000002745 >>> lookup_return_symbols = bt.Gene.lookup(field="ensembl_gene_id", return_field="symbol")
- classmethod search(string, *, field=None, limit=20, case_sensitive=False)¶
Search.
- Parameters:
string (
str
) – The input string to match against the field ontology values.field (
str
|DeferredAttribute
|None
, default:None
) – The field or fields to search. Search all string fields by default.limit (
int
|None
, default:20
) – Maximum amount of top results to return.case_sensitive (
bool
, default:False
) – Whether the match is case sensitive.
- Return type:
QuerySet
- Returns:
A sorted
DataFrame
of search results with a score in columnscore
. Ifreturn_queryset
isTrue
.QuerySet
.
Examples
>>> ulabels = ln.ULabel.from_values(["ULabel1", "ULabel2", "ULabel3"], field="name") >>> ln.save(ulabels) >>> ln.ULabel.search("ULabel2")
- classmethod using(instance)¶
Use a non-default LaminDB instance.
- Parameters:
instance (
str
|None
) – An instance identifier of form “account_handle/instance_name”.- Return type:
QuerySet
Examples
>>> ln.ULabel.using("account_handle/instance_name").search("ULabel7", field="name") uid score name ULabel7 g7Hk9b2v 100.0 ULabel5 t4Jm6s0q 75.0 ULabel6 r2Xw8p1z 75.0
Methods¶
- async adelete(using=None, keep_parents=False)¶
- async arefresh_from_db(using=None, fields=None, from_queryset=None)¶
- async asave(*args, force_insert=False, force_update=False, using=None, update_fields=None)¶
- clean()¶
Hook for doing any extra model-wide validation after clean() has been called on every field by self.clean_fields. Any ValidationError raised by this method will not be associated with a particular field; it will have a special-case association with the field defined by NON_FIELD_ERRORS.
- clean_fields(exclude=None)¶
Clean all fields and raise a ValidationError containing a dict of all validation errors if any occur.
- date_error_message(lookup_type, field_name, unique_for)¶
- delete()¶
Delete.
- Return type:
None
- get_constraints()¶
- get_deferred_fields()¶
Return a set containing names of deferred fields for this instance.
- prepare_database_save(field)¶
- refresh_from_db(using=None, fields=None, from_queryset=None)¶
Reload field values from the database.
By default, the reloading happens from the database this instance was loaded from, or by the read router if this instance wasn’t loaded from any database. The using parameter will override the default.
Fields can be used to specify which fields to reload. The fields should be an iterable of field attnames. If fields is None, then all non-deferred fields are reloaded.
When accessing deferred fields of an instance, the deferred loading of the field will call this method.
- save_base(raw=False, force_insert=False, force_update=False, using=None, update_fields=None)¶
Handle the parts of saving which should be done only once per save, yet need to be done in raw saves, too. This includes some sanity checks and signal sending.
The ‘raw’ argument is telling save_base not to save any parent models and not to do any changes to the values before save. This is used by fixture loading.
- serializable_value(field_name)¶
Return the value of the field name for this instance. If the field is a foreign key, return the id value instead of the object. If there’s no Field object with this name on the model, return the model attribute’s value.
Used to serialize a field’s value (in the serializer, or form output, for example). Normally, you would just access the attribute directly and not use this method.
- unique_error_message(model_class, unique_check)¶
- validate_constraints(exclude=None)¶
- validate_unique(exclude=None)¶
Check unique constraints on the model and raise ValidationError if any failed.