Keep artifacts local in a cloud instance¶
If you want to default to keeping artifacts local in a cloud instance, enable keep_artifacts_local
.
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!lamin login testuser1
!lamin init --storage s3://lamindb-ci/keep-artifacts-local
✓ logged in with email [email protected] (uid: DzTjkKse)
→ go to: https://lamin.ai/testuser1/keep-artifacts-local
! updating cloud SQLite 's3://lamindb-ci/keep-artifacts-local/cc7f2489bf7251f79ff9ca8df7ac045b.lndb' of instance 'testuser1/keep-artifacts-local'
→ connected lamindb: testuser1/keep-artifacts-local
! locked instance (to unlock and push changes to the cloud SQLite file, call: lamin disconnect)
# !pip install 'lamindb[jupyter,aws]'
import lamindb as ln
ln.track("l9lFf83aPwRc0000")
→ connected lamindb: testuser1/keep-artifacts-local
→ created Transform('l9lFf83a'), started new Run('tYlY3THz') at 2024-12-20 15:04:39 UTC
→ notebook imports: lamindb==0.77.3
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# the setting should be enabled on lamin.ai
# we're temporarily setting it here only for testing purposes
ln.setup.settings.instance._keep_artifacts_local = True
You can register a managed local storage location as follows:
ln.settings.storage_local = "./my_storage_local"
→ defaulting to local storage: /home/runner/work/lamindb/lamindb/docs/faq/my_storage_local
Now, you have two storage locations: one in the S3 bucket, and the other locally.
ln.Storage.df()
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uid | root | description | type | region | instance_uid | run_id | created_at | created_by_id | |
---|---|---|---|---|---|---|---|---|---|
id | |||||||||
2 | 5R9kM1sjs4kL | /home/runner/work/lamindb/lamindb/docs/faq/my_... | None | local | None | 6uGWmLpZlNoJ | None | 2024-12-20 15:04:41.004826+00:00 | 1 |
1 | nnvIf9j3GqJ1 | s3://lamindb-ci/keep-artifacts-local | None | s3 | us-west-1 | 6uGWmLpZlNoJ | None | 2024-12-20 15:04:30.223670+00:00 | 1 |
Update storage description¶
You can add a description to the storage by using the description parameter:
storage_record = ln.Storage.get(root=ln.settings.storage_local.root)
storage_record.description = "Files stored locally in site X on server Y for reason ABC"
storage_record.save()
ln.Storage.df()
uid | root | description | type | region | instance_uid | run_id | created_at | created_by_id | |
---|---|---|---|---|---|---|---|---|---|
id | |||||||||
2 | 5R9kM1sjs4kL | /home/runner/work/lamindb/lamindb/docs/faq/my_... | Files stored locally in site X on server Y for... | local | None | 6uGWmLpZlNoJ | None | 2024-12-20 15:04:41.004826+00:00 | 1 |
1 | nnvIf9j3GqJ1 | s3://lamindb-ci/keep-artifacts-local | None | s3 | us-west-1 | 6uGWmLpZlNoJ | None | 2024-12-20 15:04:30.223670+00:00 | 1 |
Use local storage¶
If you save an artifact, by default, it’s stored in local storage.
original_filepath = ln.core.datasets.file_fcs()
artifact = ln.Artifact(original_filepath, description="My fcs file").save()
local_path = artifact.path
local_path
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PosixUPath('/home/runner/work/lamindb/lamindb/docs/faq/my_storage_local/.lamindb/uwOdTdGOYGJBx3eB0000.fcs')
You’ll see the .fcs
file named by the uid
in your .lamindb/
directory under ./my_storage_local/
:
ln.settings.storage_local.root.view_tree()
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1 sub-directory & 2 files with suffixes '', '.fcs'
/home/runner/work/lamindb/lamindb/docs/faq/my_storage_local
└── .lamindb/
├── uwOdTdGOYGJBx3eB0000.fcs
└── _is_initialized
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assert local_path.exists()
assert artifact.path.as_posix().startswith(ln.settings.storage_local.root.as_posix())
If you’d like to upload an artifact, you pass upload=True
to the save()
method.
artifact.save(upload=True)
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→ moved local artifact to cache: /home/runner/.cache/lamindb/uwOdTdGOYGJBx3eB0000.fcs
Artifact(uid='uwOdTdGOYGJBx3eB0000', is_latest=True, description='My fcs file', suffix='.fcs', size=6785467, hash='KCEXRahJ-Ui9Y6nksQ8z1A', _hash_type='md5', visibility=1, _key_is_virtual=True, storage_id=1, transform_id=1, run_id=1, created_by_id=1, created_at=2024-12-20 15:04:41 UTC)
You now see the artifact in the S3 bucket:
ln.setup.settings.storage.root.view_tree()
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2 sub-directories & 3 files with suffixes '', '.fcs', '.lndb'
s3://lamindb-ci/keep-artifacts-local
├── cc7f2489bf7251f79ff9ca8df7ac045b.lndb
└── .lamindb/
├── _is_initialized
├── uwOdTdGOYGJBx3eB0000.fcs
└── _exclusion/
And it’s no longer present in local storage:
ln.setup.settings.instance.storage_local.root.view_tree()
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1 sub-directory & 1 files with suffixes ''
/home/runner/work/lamindb/lamindb/docs/faq/my_storage_local
└── .lamindb/
└── _is_initialized
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assert artifact.path.exists()
assert not local_path.exists()
assert artifact.path.as_posix().startswith(
ln.setup.settings.instance.storage.root.as_posix()
)
Direct upload¶
You can also directly upload a file by passing upload=True
:
filepath = ln.core.datasets.file_mini_csv()
artifact2 = ln.Artifact(filepath, description="My csv file").save(upload=True)
artifact2.path
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S3Path('s3://lamindb-ci/keep-artifacts-local/.lamindb/hDML5vEpJaZ2i3B40000.csv')
Now we have two files on S3:
ln.Artifact.df(include="storage__root")
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uid | key | description | storage__root | |
---|---|---|---|---|
id | ||||
2 | hDML5vEpJaZ2i3B40000 | None | My csv file | s3://lamindb-ci/keep-artifacts-local |
1 | uwOdTdGOYGJBx3eB0000 | None | My fcs file | s3://lamindb-ci/keep-artifacts-local |
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assert artifact2.path.exists()
Pre-existing artifacts¶
Assume we already have a file in our registered local storage location:
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file_in_local_storage = ln.core.datasets.file_bam()
file_in_local_storage.rename("./my_storage_local/output.bam")
ln.UPath("my_storage_local/").view_tree()
1 sub-directory & 2 files with suffixes '', '.bam'
/home/runner/work/lamindb/lamindb/docs/faq/my_storage_local
├── .lamindb/
│ └── _is_initialized
└── output.bam
If we create an artifact from it, it remains where it is during saving:
my_existing_file = ln.Artifact(
"./my_storage_local/output.bam", description="my existing file"
).save()
ln.UPath("my_storage_local/").view_tree()
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1 sub-directory & 2 files with suffixes '', '.bam'
/home/runner/work/lamindb/lamindb/docs/faq/my_storage_local
├── .lamindb/
│ └── _is_initialized
└── output.bam
The storage path of the artifact is constructed using key
because key_is_virtual=False
:
my_existing_file
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Artifact(uid='MYa2eVS14LwZwJO30000', is_latest=True, key='output.bam', description='my existing file', suffix='.bam', size=18, hash='D2yxELM5U3VLeyvrwWUMUA', _hash_type='md5', visibility=1, _key_is_virtual=False, storage_id=2, transform_id=1, run_id=1, created_by_id=1, created_at=2024-12-20 15:04:42 UTC)
However, if we decide to upload the artifact, we’ll use the uid
for constructing the storage path and switch key_is_virtual=True
:
my_existing_file.save(upload=True)
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→ moved local artifact to cache: /home/runner/.cache/lamindb/output.bam
Artifact(uid='MYa2eVS14LwZwJO30000', is_latest=True, key='output.bam', description='my existing file', suffix='.bam', size=18, hash='D2yxELM5U3VLeyvrwWUMUA', _hash_type='md5', visibility=1, _key_is_virtual=True, storage_id=1, transform_id=1, run_id=1, created_by_id=1, created_at=2024-12-20 15:04:42 UTC)
Here is the remote path of the artifact:
my_existing_file.path
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S3Path('s3://lamindb-ci/keep-artifacts-local/.lamindb/MYa2eVS14LwZwJO30000.bam')
And here are the contents of the storage locations:
# the path on S3
ln.setup.settings.storage.root.view_tree()
# the local path
ln.setup.settings.instance.storage_local.root.view_tree()
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2 sub-directories & 5 files with suffixes '', '.csv', '.fcs', '.lndb', '.bam'
s3://lamindb-ci/keep-artifacts-local
├── cc7f2489bf7251f79ff9ca8df7ac045b.lndb
└── .lamindb/
├── MYa2eVS14LwZwJO30000.bam
├── _is_initialized
├── hDML5vEpJaZ2i3B40000.csv
├── uwOdTdGOYGJBx3eB0000.fcs
└── _exclusion/
1 sub-directory & 1 files with suffixes ''
/home/runner/work/lamindb/lamindb/docs/faq/my_storage_local
└── .lamindb/
└── _is_initialized
Delete the test instance¶
Delete the artifacts:
artifact.delete(permanent=True)
artifact2.delete(permanent=True)
my_existing_file.delete(permanent=True)
Delete the instance:
ln.setup.delete("keep-artifacts-local", force=True)
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→ deleted storage record on hub 8a4d1edd4b194776ab629f8d049cf84f
→ deleted storage record on hub eb35d80e9c4d5d02aab65a03c95bb70c
→ deleted instance record on hub cc7f2489bf7251f79ff9ca8df7ac045b