Python Client

Constructors

These are functions for constructing a client object.

`tiled.client.from_uri`(uri[, ...])	Connect to a Node on a local or remote server.
`tiled.client.from_profile`(name[, ...])	Build a Node based a 'profile' (a named configuration).

Client Container

The Container interface extends the collections.abc.Mapping (i.e. read-only dict) interface, so it supports these standard “magic methods”:

__getitem__ (lookup by key with [])
__iter__ (iteration, use in for-loops for example)
__len__ (has a length, can be passed to len)

as well as:

`tiled.client.container.Container.get`(k[,d])
`tiled.client.container.Container.keys`()
`tiled.client.container.Container.items`()
`tiled.client.container.Container.values`()

The views returned by .keys(), .items(), and .values() support efficient random access—e.g.

c.values()[3]
c.values()[-1]
c.values()[:3]

and several convenience methods:

`tiled.iterviews.ValuesView.first`()	Get the first value.
`tiled.iterviews.ValuesView.last`()	Get the last value.
`tiled.iterviews.ValuesView.head`([n])	Get the first N values.
`tiled.iterviews.ValuesView.tail`([n])	Get the last N values.

Likewise for .keys() and .items().

Beyond the Mapping interface, Container adds the following attributes

`tiled.client.container.Container.metadata`	Metadata about this data source.
`tiled.client.container.Container.sorting`	The current sorting of this Node
`tiled.client.container.Container.uri`	Direct link to this entry
`tiled.client.container.Container.specs`	List of specifications describing the structure of the metadata and/or data.

It adds these methods, which return a new Container instance.

`tiled.client.container.Container.search`(query)	Make a Node with a subset of this Node's entries, filtered by query.
`tiled.client.container.Container.sort`(*sorting)	Make a Node with the same entries but sorted according to sorting.

It adds this method, which returns the unique metadata keys, structure_families, and specs of its children along with their counts.

tiled.client.container.Container.distinct(...)

Get the unique values and optionally counts of metadata_keys, structure_families, and specs in this Node's entries

And, finally, there are convenience methods for writing:

`tiled.client.container.Container.create_container`([...])	Create a new, empty container.
`tiled.client.container.Container.write_array`(...)	EXPERIMENTAL: Write an array.
`tiled.client.container.Container.write_awkward`(...)	Write an AwkwardArray.
`tiled.client.container.Container.write_dataframe`(...)	Write a DataFrame.
`tiled.client.container.Container.write_sparse`(...)	EXPERIMENTAL: Write a sparse array.

and a low-level method for creating a new node to write into:

tiled.client.container.Container.new(...[, ...])

Create a new item within this Node.

Structure Clients

For each structure family (“array”, “table”, etc.) there is a client object that understand how to request and decode chunks/partitions of data for this structure.

In fact, there can be more than one client for a given structure family. Tiled currently includes two clients for each structure family:

A client that reads the data into dask-backed objects (dask array, dask DataFrame, xarray objects backed by dask arrays)
A client that reads the data into in-memory structures (numpy array, pandas DataFrame, xarray objects backed by numpy arrays)

Base

`tiled.client.base.BaseClient`(context, *, ...)
`tiled.client.base.BaseClient.formats`	List formats that the server can export this data as.
`tiled.client.base.BaseClient.metadata`	Metadata about this data source.
`tiled.client.base.BaseClient.metadata_copy`()	Generate a mutable copy of metadata, specs, and access_tags for validating metadata (useful with update_metadata())
`tiled.client.base.BaseClient.replace_metadata`([...])	EXPERIMENTAL: Replace metadata entirely (see update_metadata).
`tiled.client.base.BaseClient.update_metadata`([...])	EXPERIMENTAL: Update metadata via a dict.update- like interface.
`tiled.client.base.BaseClient.patch_metadata`([...])	EXPERIMENTAL: Patch metadata using a JSON Patch (RFC6902).
`tiled.client.base.BaseClient.build_metadata_patches`([...])	Build valid JSON Patches (RFC6902) for metadata and metadata validation specs accepted by patch_metadata.
`tiled.client.base.BaseClient.uri`	Direct link to this entry
`tiled.client.base.BaseClient.structure_family`	Quick access to this entry
`tiled.client.base.BaseClient.item`	JSON payload describing this item.
`tiled.client.base.BaseClient.login`()	Depending on the server's authentication method, this will prompt for username/password:
`tiled.client.base.BaseClient.logout`()	Log out.
`tiled.client.base.BaseClient.new_variation`([...])	This is intended primarily for internal use and use by subclasses.
`tiled.client.base.BaseClient.specs`	List of specifications describing the structure of the metadata and/or data.
`tiled.client.base.BaseClient.structure`()	Return a dataclass describing the structure of the data.

Array

`tiled.client.array.DaskArrayClient`(*args, ...)	Client-side wrapper around an array-like that returns dask arrays
`tiled.client.array.DaskArrayClient.read_block`(block)	Access the data for one block of this chunked (dask) array.
`tiled.client.array.DaskArrayClient.read`([slice])	Access the entire array or a slice.
`tiled.client.array.DaskArrayClient.export`(...)	Download data in some format and write to a file.
`tiled.client.array.DaskArrayClient.write`(array)
`tiled.client.array.DaskArrayClient.write_block`(...)
`tiled.client.array.DaskArrayClient.patch`(...)	Write data into a slice of an array, maybe extending the shape.

`tiled.client.array.ArrayClient`(*args, item, ...)	Client-side wrapper around an array-like that returns in-memory arrays
`tiled.client.array.ArrayClient.read_block`(block)	Access the data for one block of this chunked array.
`tiled.client.array.ArrayClient.read`([slice])	Acess the entire array or a slice.
`tiled.client.array.ArrayClient.export`(...[, ...])	Download data in some format and write to a file.
`tiled.client.array.ArrayClient.write`(array)
`tiled.client.array.ArrayClient.write_block`(...)

Awkward

`tiled.client.awkward.AwkwardClient`(context, ...)
`tiled.client.awkward.AwkwardClient.read`([slice])
`tiled.client.awkward.AwkwardClient.write`(...)
`tiled.client.awkward.AwkwardClient.export`(...)	Download data in some format and write to a file.

`tiled.client.array.ArrayClient`(*args, item, ...)	Client-side wrapper around an array-like that returns in-memory arrays
`tiled.client.array.ArrayClient.read_block`(block)	Access the data for one block of this chunked array.
`tiled.client.array.ArrayClient.read`([slice])	Acess the entire array or a slice.
`tiled.client.array.DaskArrayClient.export`(...)	Download data in some format and write to a file.

Sparse Array

`tiled.client.sparse.SparseClient`(context, *, ...)
`tiled.client.sparse.SparseClient.read`([slice])
`tiled.client.sparse.SparseClient.export`(...)	Download data in some format and write to a file.
`tiled.client.sparse.SparseClient.write`(...)
`tiled.client.sparse.SparseClient.write_block`(...)

DataFrame

`tiled.client.dataframe.DaskDataFrameClient`(...)	Client-side wrapper around an dataframe-like that returns dask dataframes
`tiled.client.dataframe.DaskDataFrameClient.read_partition`(...)	Access one partition in a partitioned (dask) dataframe.
`tiled.client.dataframe.DaskDataFrameClient.read`([...])	Access the entire DataFrame.
`tiled.client.dataframe.DaskDataFrameClient.export`(...)	Download data in some format and write to a file.
`tiled.client.dataframe.DaskDataFrameClient.write`(...)
`tiled.client.dataframe.DaskDataFrameClient.write_partition`(...)

`tiled.client.dataframe.DataFrameClient`(...)	Client-side wrapper around a dataframe-like that returns in-memory dataframes
`tiled.client.dataframe.DataFrameClient.read_partition`(...)	Access one partition of the DataFrame.
`tiled.client.dataframe.DataFrameClient.read`([...])	Access the entire DataFrame.
`tiled.client.dataframe.DataFrameClient.export`(...)	Download data in some format and write to a file.
`tiled.client.dataframe.DataFrameClient.write`(...)
`tiled.client.dataframe.DataFrameClient.write_partition`(...)

Xarray Dataset

`tiled.client.xarray.DaskDatasetClient`(...[, ...])
`tiled.client.xarray.DaskDatasetClient.read`([...])

`tiled.client.xarray.DatasetClient`(context, ...)
`tiled.client.xarray.DatasetClient.read`([...])

Context

`tiled.client.context.Context`(uri, *[, ...])	Wrap an httpx.Client with an optional cache and authentication functionality.
`tiled.client.context.Context.from_any_uri`(uri, *)	Accept a URI to a specific node.
`tiled.client.context.Context.from_app`(app, *)	Construct a Context around a FastAPI app.
`tiled.client.context.Context.authenticate`(*)	Log in to a Tiled server.
`tiled.client.context.Context.cache`
`tiled.client.context.Context.force_auth_refresh`()	Execute refresh flow.
`tiled.client.context.Context.login`(*[, ...])	Log in to a Tiled server.
`tiled.client.context.Context.logout`()	Log out of the current session (if any).
`tiled.client.context.Context.tokens`	A view of the current access and refresh tokens.

Cache

`tiled.client.cache.Cache`([filepath, ...])
`tiled.client.cache.Cache.capacity`	Max capacity in bytes.
`tiled.client.cache.Cache.clear`()	Drop all entries from HTTP response cache.
`tiled.client.cache.Cache.close`()	Close cache.
`tiled.client.cache.Cache.count`()	Number of responses cached
`tiled.client.cache.Cache.delete`(request)	Delete an entry from cache.
`tiled.client.cache.Cache.filepath`	Filepath of SQLite database storing cache data
`tiled.client.cache.Cache.get`(request)	Get cached response from Cache.
`tiled.client.cache.Cache.max_item_size`	Max size of a response body eligible for caching.
`tiled.client.cache.Cache.readonly`	If True, cache be read but not updated.
`tiled.client.cache.Cache.set`(*, request, ...)	Set new response entry in cache.
`tiled.client.cache.Cache.size`()	Size of response bodies in bytes (does not count headers and other auxiliary info)
`tiled.client.cache.Cache.write_safe`()	Check that it is safe to write.

Sync

tiled.client.sync.copy(source, dest[, ...])

Copy data from one Tiled instance to another.