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class Artifact

Flexible and lightweight building block for dataset and model versioning. Construct an empty W&B Artifact. Populate an artifacts contents with methods that begin with add. Once the artifact has all the desired files, you can call run.log_artifact() to log it.

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method Artifact.__init__

__init__(
    name: 'str',
    type: 'str',
    description: 'str | None' = None,
    metadata: 'dict[str, Any] | None' = None,
    incremental: 'bool' = False,
    use_as: 'str | None' = None
) → None
Args:
  • name (str): A human-readable name for the artifact. Use the name to identify a specific artifact in the W&B App UI or programmatically. You can interactively reference an artifact with the use_artifact Public API. A name can contain letters, numbers, underscores, hyphens, and dots. The name must be unique across a project.
  • type (str): The artifact’s type. Use the type of an artifact to both organize and differentiate artifacts. You can use any string that contains letters, numbers, underscores, hyphens, and dots. Common types include dataset or model. Include model within your type string if you want to link the artifact to the W&B Model Registry. Note that some types reserved for internal use and cannot be set by users. Such types include job and types that start with wandb-.
  • description (str | None) = None: A description of the artifact. For Model or Dataset Artifacts, add documentation for your standardized team model or dataset card. View an artifact’s description programmatically with the Artifact.description attribute or programmatically with the W&B App UI. W&B renders the description as markdown in the W&B App.
  • metadata (dict[str, Any] | None) = None: Additional information about an artifact. Specify metadata as a dictionary of key-value pairs. You can specify no more than 100 total keys.
  • incremental: Use Artifact.new_draft() method instead to modify an existing artifact.
  • use_as: Deprecated.
  • is_link: Boolean indication of if the artifact is a linked artifact(True) or source artifact(False).
Returns: An Artifact object.

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property Artifact.aliases

List of one or more semantically-friendly references or identifying “nicknames” assigned to an artifact version. Aliases are mutable references that you can programmatically reference. Change an artifact’s alias with the W&B App UI or programmatically. See Create new artifact versions for more information. Returns:
  • list[str]: The aliases property value.

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property Artifact.collection

The collection this artifact was retrieved from. A collection is an ordered group of artifact versions. If this artifact was retrieved from a portfolio / linked collection, that collection will be returned rather than the collection that an artifact version originated from. The collection that an artifact originates from is known as the source sequence. Returns:
  • ArtifactCollection: The collection property value.

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property Artifact.commit_hash

The hash returned when this artifact was committed. Returns:
  • str: The commit_hash property value.

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property Artifact.created_at

Timestamp when the artifact was created. Returns:
  • str: The created_at property value.

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property Artifact.description

A description of the artifact. Returns:
  • str | None: The description property value.

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property Artifact.digest

The logical digest of the artifact. The digest is the checksum of the artifact’s contents. If an artifact has the same digest as the current latest version, then log_artifact is a no-op. Returns:
  • str: The digest property value.

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property Artifact.entity

The name of the entity that the artifact collection belongs to. If the artifact is a link, the entity will be the entity of the linked artifact. Returns:
  • str: The entity property value.

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property Artifact.file_count

The number of files (including references). Returns:
  • int: The file_count property value.

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property Artifact.history_step

The nearest step at which history metrics were logged for the source run of the artifact. Examples: 
run = artifact.logged_by()
if run and (artifact.history_step is not None):
    history = run.sample_history(
        min_step=artifact.history_step,
        max_step=artifact.history_step + 1,
        keys=["my_metric"],
    )
Returns:
  • int | None: The history_step property value.

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property Artifact.id

The artifact’s ID. Returns:
  • str | None: The id property value.
Boolean flag indicating if the artifact is a link artifact. True: The artifact is a link artifact to a source artifact. False: The artifact is a source artifact. Returns:
  • bool: The is_link property value.

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property Artifact.linked_artifacts

Returns a list of all the linked artifacts of a source artifact. If the artifact is a link artifact (artifact.is_link == True), it will return an empty list. Limited to 500 results. Returns:
  • list[Artifact]: The linked_artifacts property value.

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property Artifact.manifest

The artifact’s manifest. The manifest lists all of its contents, and can’t be changed once the artifact has been logged. Returns:
  • ArtifactManifest: The manifest property value.

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property Artifact.metadata

User-defined artifact metadata. Structured data associated with the artifact. Returns:
  • dict: The metadata property value.

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property Artifact.name

The artifact name and version of the artifact. A string with the format {collection}:{alias}. If fetched before an artifact is logged/saved, the name won’t contain the alias. If the artifact is a link, the name will be the name of the linked artifact. Returns:
  • str: The name property value.

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property Artifact.project

The name of the project that the artifact collection belongs to. If the artifact is a link, the project will be the project of the linked artifact. Returns:
  • str: The project property value.

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property Artifact.qualified_name

The entity/project/name of the artifact. If the artifact is a link, the qualified name will be the qualified name of the linked artifact path. Returns:
  • str: The qualified_name property value.

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property Artifact.size

The total size of the artifact in bytes. Includes any references tracked by this artifact. Returns:
  • int: The size property value.

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property Artifact.source_artifact

Returns the source artifact. The source artifact is the original logged artifact. If the artifact itself is a source artifact (artifact.is_link == False), it will return itself. Returns:
  • Artifact: The source_artifact property value.

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property Artifact.source_collection

The artifact’s source collection. The source collection is the collection that the artifact was logged from. Returns:
  • ArtifactCollection: The source_collection property value.

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property Artifact.source_entity

The name of the entity of the source artifact. Returns:
  • str: The source_entity property value.

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property Artifact.source_name

The artifact name and version of the source artifact. A string with the format {source_collection}:{alias}. Before the artifact is saved, contains only the name since the version is not yet known. Returns:
  • str: The source_name property value.

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property Artifact.source_project

The name of the project of the source artifact. Returns:
  • str: The source_project property value.

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property Artifact.source_qualified_name

The source_entity/source_project/source_name of the source artifact. Returns:
  • str: The source_qualified_name property value.

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property Artifact.source_version

The source artifact’s version. A string with the format v{number}. Returns:
  • str: The source_version property value.

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property Artifact.state

The status of the artifact. One of: “PENDING”, “COMMITTED”, or “DELETED”. Returns:
  • str: The state property value.

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property Artifact.tags

List of one or more tags assigned to this artifact version. Returns:
  • list[str]: The tags property value.

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property Artifact.ttl

The time-to-live (TTL) policy of an artifact. Artifacts are deleted shortly after a TTL policy’s duration passes. If set to None, the artifact deactivates TTL policies and will be not scheduled for deletion, even if there is a team default TTL. An artifact inherits a TTL policy from the team default if the team administrator defines a default TTL and there is no custom policy set on an artifact. Raises:
  • ArtifactNotLoggedError: Unable to fetch inherited TTL if the artifact has not been logged or saved.
Returns:
  • timedelta | None: The ttl property value.

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property Artifact.type

The artifact’s type. Common types include dataset or model. Returns:
  • str: The type property value.

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property Artifact.updated_at

The time when the artifact was last updated. Returns:
  • str: The updated_at property value.

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property Artifact.url

Constructs the URL of the artifact. Returns:
  • str: The URL of the artifact.
Returns:
  • str: The url property value.

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property Artifact.use_as

Deprecated. Returns:
  • str | None: The use_as property value.

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property Artifact.version

The artifact’s version. A string with the format v{number}. If the artifact is a link artifact, the version will be from the linked collection. Returns:
  • str: The version property value.

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method Artifact.add

add(
    obj: 'WBValue',
    name: 'StrPath',
    overwrite: 'bool' = False
) → ArtifactManifestEntry
Add wandb.WBValue obj to the artifact. Args:
  • obj: The object to add. Currently support one of Bokeh, JoinedTable, PartitionedTable, Table, Classes, ImageMask, BoundingBoxes2D, Audio, Image, Video, Html, Object3D
  • name: The path within the artifact to add the object.
  • overwrite: If True, overwrite existing objects with the same file path if applicable.
Returns: The added manifest entry Raises:
  • ArtifactFinalizedError: You cannot make changes to the current artifact version because it is finalized. Log a new artifact version instead.

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method Artifact.add_dir

add_dir(
    local_path: 'str',
    name: 'str | None' = None,
    skip_cache: 'bool | None' = False,
    policy: "Literal['mutable', 'immutable'] | None" = 'mutable',
    merge: 'bool' = False
) → None
Add a local directory to the artifact. Args:
  • local_path: The path of the local directory.
  • name: The subdirectory name within an artifact. The name you specify appears in the W&B App UI nested by artifact’s type. Defaults to the root of the artifact.
  • skip_cache: If set to True, W&B will not copy/move files to the cache while uploading
  • policy: By default, “mutable”.
    • mutable: Create a temporary copy of the file to prevent corruption during upload.
    • immutable: Disable protection, rely on the user not to delete or change the file.
  • merge: If False (default), throws ValueError if a file was already added in a previous add_dir call and its content has changed. If True, overwrites existing files with changed content. Always adds new files and never removes files. To replace an entire directory, pass a name when adding the directory using add_dir(local_path, name=my_prefix) and call remove(my_prefix) to remove the directory, then add it again.
Raises:
  • ArtifactFinalizedError: You cannot make changes to the current artifact version because it is finalized. Log a new artifact version instead.
  • ValueError: Policy must be “mutable” or “immutable”

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method Artifact.add_file

add_file(
    local_path: 'str',
    name: 'str | None' = None,
    is_tmp: 'bool | None' = False,
    skip_cache: 'bool | None' = False,
    policy: "Literal['mutable', 'immutable'] | None" = 'mutable',
    overwrite: 'bool' = False
) → ArtifactManifestEntry
Add a local file to the artifact. Args:
  • local_path: The path to the file being added.
  • name: The path within the artifact to use for the file being added. Defaults to the basename of the file.
  • is_tmp: If true, then the file is renamed deterministically to avoid collisions.
  • skip_cache: If True, do not copy files to the cache after uploading.
  • policy: By default, set to “mutable”. If set to “mutable”, create a temporary copy of the file to prevent corruption during upload. If set to “immutable”, disable protection and rely on the user not to delete or change the file.
  • overwrite: If True, overwrite the file if it already exists.
Returns: The added manifest entry. Raises:
  • ArtifactFinalizedError: You cannot make changes to the current artifact version because it is finalized. Log a new artifact version instead.
  • ValueError: Policy must be “mutable” or “immutable”

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method Artifact.add_reference

add_reference(
    uri: 'ArtifactManifestEntry | str',
    name: 'StrPath | None' = None,
    checksum: 'bool' = True,
    max_objects: 'int | None' = None
) → Sequence[ArtifactManifestEntry]
Add a reference denoted by a URI to the artifact. Unlike files or directories that you add to an artifact, references are not uploaded to W&B. For more information, see Track external files. By default, the following schemes are supported:
  • http(s): The size and digest of the file will be inferred by the Content-Length and the ETag response headers returned by the server.
  • s3: The checksum and size are pulled from the object metadata. If bucket versioning is enabled, then the version ID is also tracked.
  • gs: The checksum and size are pulled from the object metadata. If bucket versioning is enabled, then the version ID is also tracked.
  • https, domain matching *.blob.core.windows.net
  • Azure: The checksum and size are be pulled from the blob metadata. If storage account versioning is enabled, then the version ID is also tracked.
  • file: The checksum and size are pulled from the file system. This scheme is useful if you have an NFS share or other externally mounted volume containing files you wish to track but not necessarily upload.
For any other scheme, the digest is just a hash of the URI and the size is left blank. Args:
  • uri: The URI path of the reference to add. The URI path can be an object returned from Artifact.get_entry to store a reference to another artifact’s entry.
  • name: The path within the artifact to place the contents of this reference.
  • checksum: Whether or not to checksum the resource(s) located at the reference URI. Checksumming is strongly recommended as it enables automatic integrity validation. Disabling checksumming will speed up artifact creation but reference directories will not iterated through so the objects in the directory will not be saved to the artifact. We recommend setting checksum=False when adding reference objects, in which case a new version will only be created if the reference URI changes.
  • max_objects: The maximum number of objects to consider when adding a reference that points to directory or bucket store prefix. By default, the maximum number of objects allowed for Amazon S3, GCS, Azure, and local files is 10,000,000. Other URI schemas do not have a maximum.
Returns: The added manifest entries. Raises:
  • ArtifactFinalizedError: You cannot make changes to the current artifact version because it is finalized. Log a new artifact version instead.

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method Artifact.checkout

checkout(root: 'str | None' = None) → str
Replace the specified root directory with the contents of the artifact. WARNING: This will delete all files in root that are not included in the artifact. Args:
  • root: The directory to replace with this artifact’s files.
Returns: The path of the checked out contents. Raises:
  • ArtifactNotLoggedError: If the artifact is not logged.

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method Artifact.delete

delete(delete_aliases: 'bool' = False) → None
Delete an artifact and its files. If called on a linked artifact, only the link is deleted, and the source artifact is unaffected. Use artifact.unlink() instead of artifact.delete() to remove a link between a source artifact and a linked artifact. Args:
  • delete_aliases: If set to True, deletes all aliases associated with the artifact. Otherwise, this raises an exception if the artifact has existing aliases. This parameter is ignored if the artifact is linked (a member of a portfolio collection).
Raises:
  • ArtifactNotLoggedError: If the artifact is not logged.

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method Artifact.download

download(
    root: 'StrPath | None' = None,
    allow_missing_references: 'bool' = False,
    skip_cache: 'bool | None' = None,
    path_prefix: 'StrPath | None' = None,
    multipart: 'bool | None' = None
) → FilePathStr
Download the contents of the artifact to the specified root directory. Existing files located within root are not modified. Explicitly delete root before you call download if you want the contents of root to exactly match the artifact. Args:
  • root: The directory W&B stores the artifact’s files.
  • allow_missing_references: If set to True, any invalid reference paths will be ignored while downloading referenced files.
  • skip_cache: If set to True, the artifact cache will be skipped when downloading and W&B will download each file into the default root or specified download directory.
  • path_prefix: If specified, only files with a path that starts with the given prefix will be downloaded. Uses unix format (forward slashes).
  • multipart: If set to None (default), the artifact will be downloaded in parallel using multipart download if individual file size is greater than 2GB. If set to True or False, the artifact will be downloaded in parallel or serially regardless of the file size.
Returns: The path to the downloaded contents. Raises:
  • ArtifactNotLoggedError: If the artifact is not logged.

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method Artifact.file

file(root: 'str | None' = None) → StrPath
Download a single file artifact to the directory you specify with root. Args:
  • root: The root directory to store the file. Defaults to ./artifacts/self.name/.
Returns: The full path of the downloaded file. Raises:
  • ArtifactNotLoggedError: If the artifact is not logged.
  • ValueError: If the artifact contains more than one file.

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method Artifact.files

files(names: 'list[str] | None' = None, per_page: 'int' = 50) → ArtifactFiles
Iterate over all files stored in this artifact. Args:
  • names: The filename paths relative to the root of the artifact you wish to list.
  • per_page: The number of files to return per request.
Returns: An iterator containing File objects. Raises:
  • ArtifactNotLoggedError: If the artifact is not logged.

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method Artifact.finalize

finalize() → None
Finalize the artifact version. You cannot modify an artifact version once it is finalized because the artifact is logged as a specific artifact version. Create a new artifact version to log more data to an artifact. An artifact is automatically finalized when you log the artifact with log_artifact.

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method Artifact.get

get(name: 'str') → WBValue | None
Get the WBValue object located at the artifact relative name. Args:
  • name: The artifact relative name to retrieve.
Returns: W&B object that can be logged with run.log() and visualized in the W&B UI. Raises:
  • ArtifactNotLoggedError: if the artifact isn’t logged or the run is offline.

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method Artifact.get_added_local_path_name

get_added_local_path_name(local_path: 'str') → str | None
Get the artifact relative name of a file added by a local filesystem path. Args:
  • local_path: The local path to resolve into an artifact relative name.
Returns: The artifact relative name.

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method Artifact.get_entry

get_entry(name: 'StrPath') → ArtifactManifestEntry
Get the entry with the given name. Args:
  • name: The artifact relative name to get
Returns: A W&B object. Raises:
  • ArtifactNotLoggedError: if the artifact isn’t logged or the run is offline.
  • KeyError: if the artifact doesn’t contain an entry with the given name.

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method Artifact.get_path

get_path(name: 'StrPath') → ArtifactManifestEntry
Deprecated. Use get_entry(name).

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method Artifact.is_draft

is_draft() → bool
Check if artifact is not saved. Returns: Boolean. False if artifact is saved. True if artifact is not saved.

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method Artifact.json_encode

json_encode() → dict[str, Any]
Returns the artifact encoded to the JSON format. Returns: A dict with string keys representing attributes of the artifact. 
link(target_path: 'str', aliases: 'list[str] | None' = None) → Artifact
Link this artifact to a portfolio (a promoted collection of artifacts). Args:
  • target_path: The path to the portfolio inside a project. The target path must adhere to one of the following schemas {portfolio}, {project}/{portfolio} or {entity}/{project}/{portfolio}. To link the artifact to the Model Registry, rather than to a generic portfolio inside a project, set target_path to the following schema {"model-registry"}/{Registered Model Name} or {entity}/{"model-registry"}/{Registered Model Name}.
  • aliases: A list of strings that uniquely identifies the artifact inside the specified portfolio.
Raises:
  • ArtifactNotLoggedError: If the artifact is not logged.
Returns: The linked artifact.

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method Artifact.logged_by

logged_by() → Run | None
Get the W&B run that originally logged the artifact. Returns: The name of the W&B run that originally logged the artifact. Raises:
  • ArtifactNotLoggedError: If the artifact is not logged.

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method Artifact.new_draft

new_draft() → Artifact
Create a new draft artifact with the same content as this committed artifact. Modifying an existing artifact creates a new artifact version known as an “incremental artifact”. The artifact returned can be extended or modified and logged as a new version. Returns: An Artifact object. Raises:
  • ArtifactNotLoggedError: If the artifact is not logged.

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method Artifact.new_file

new_file(
    name: 'str',
    mode: 'str' = 'x',
    encoding: 'str | None' = None
) → Iterator[IO]
Open a new temporary file and add it to the artifact. Args:
  • name: The name of the new file to add to the artifact.
  • mode: The file access mode to use to open the new file.
  • encoding: The encoding used to open the new file.
Returns: A new file object that can be written to. Upon closing, the file is automatically added to the artifact. Raises:
  • ArtifactFinalizedError: You cannot make changes to the current artifact version because it is finalized. Log a new artifact version instead.

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method Artifact.remove

remove(item: 'StrPath | ArtifactManifestEntry') → None
Remove an item from the artifact. Args:
  • item: The item to remove. Can be a specific manifest entry or the name of an artifact-relative path. If the item matches a directory all items in that directory will be removed.
Raises:
  • ArtifactFinalizedError: You cannot make changes to the current artifact version because it is finalized. Log a new artifact version instead.
  • FileNotFoundError: If the item isn’t found in the artifact.

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method Artifact.save

save(
    project: 'str | None' = None,
    settings: 'wandb.Settings | None' = None
) → None
Persist any changes made to the artifact. If currently in a run, that run will log this artifact. If not currently in a run, a run of type “auto” is created to track this artifact. Args:
  • project: A project to use for the artifact in the case that a run is not already in context.
  • settings: A settings object to use when initializing an automatic run. Most commonly used in testing harness.
unlink() → None
Unlink this artifact if it is currently a member of a promoted collection of artifacts. Raises:
  • ArtifactNotLoggedError: If the artifact is not logged.
  • ValueError: If the artifact is not linked, in other words, it is not a member of a portfolio collection.

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method Artifact.used_by

used_by() → list[Run]
Get a list of the runs that have used this artifact and its linked artifacts. Returns: A list of Run objects. Raises:
  • ArtifactNotLoggedError: If the artifact is not logged.

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method Artifact.verify

verify(root: 'str | None' = None) → None
Verify that the contents of an artifact match the manifest. All files in the directory are checksummed and the checksums are then cross-referenced against the artifact’s manifest. References are not verified. Args:
  • root: The directory to verify. If None artifact will be downloaded to ’./artifacts/self.name/’.
Raises:
  • ArtifactNotLoggedError: If the artifact is not logged.
  • ValueError: If the verification fails.

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method Artifact.wait

wait(timeout: 'int | None' = None) → Artifact
If needed, wait for this artifact to finish logging. Args:
  • timeout: The time, in seconds, to wait.
Returns: An Artifact object.
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