AllegroGraph Python client release history¶

Release 101.1.0¶

Non-RDF document import¶

JSON and CSV documents can be imported into AllegroGraph using the new ‘transform’ service introduced in AG 6.5.0. This can now be accessed from the Python client by calling the addDocumentFile() method of the connection object. Document data from strings or Python dictionaries can be added with addDocumentData().

Release 101.0.0¶

JSON-LD support¶

A new RDF format (RDFFormat.JSONLD) has been added. When importing documents from strings or files it is now possible to specify a few JSON-LD specific arguments:

json_ld_context: a JSON object defining the mapping between JSON-LD terms and triples.

json_ld_store_source: a flag that can be used to persist the whole input document in a single triple.

allow_external_references a flag that must be explicitly set to True to allow the JSON-LD importer to retrieve external resources referenced in the input document or in the json_ld_context argument.

external_reference_timeout: HTTP timeout that will be used by the server when retrieving external resources.

In addition the addData() method can import a JSON-LD document in the form of a dictionary.

URI object changes¶

URI objects are now canonicalized by default. This means that two equal URIs are guaranteed to be the same object. This behavior can be disabled by passing canonical=False when creating a URI.

URI objects no longer carry an attribute dictionary. This means it is no longer possible to add arbitrary fields to an URI object.

rfe15690: warmup support¶

Add RepositoryConnection.warmup() to allow the user to warm up the string table and/or indices.

User data access¶

AllegroGraph allows each user to store arbitrary key-value data on the server. This storage can now be accessed from Python by using new AllegroGraphServer methods:

listUserData()

getUserData()

setUserData()

deleteUserData()

Release 100.2.0¶

Pandas support¶

It is now possible to turn a query result into a Pandas DataFrame by calling the toPandas() method of the result object. Note that Pandas must be installed separately for this to work.

Release 100.1.2¶

bug25281: Proxy settings are ignored¶

Proxy settings used to be ignored when the requests backend was used. This has been corrected.

Thanks to Iván Darío Ramos Vacca for reporting the bug and providing a fix.

Release 100.1.1¶

A bugfix release that adds some missing dependencies that are needed when using Python < 3.5.

Release 100.1.0¶

Triple attributes¶

Added support for triple attributes (requires AG >= 6.1). Specifically it is now possible to:

Set and retrieve the static attribute filter using conn.setAttributeFilter() and conn.getAttributeFilter()

Set and retrieve user attributes (that will be sent with each request) using conn.setUserAttributes() and conn.getUserAttributes().

Manage attribute definitions using various methods in the connection class..

Add triples with attributes - a new keyword parameter named ‘attributes’ has been added to methods that add triples, such as addData(). It is also possible to pass five-element tuples to addTriples(), where the fifth element is a dictionary of attribute values.

Distributed transaction settings¶

It is now possible to configure distributed transaction parameters in multiple ways:

By passing arguments to the commit() method

By calling setTransactionSettings() on the connection object.

By using a context manager returned by the temporaryTransactionSettings() method.

In all cases the settings can be passed either in a single TransactionSettings object or as individual keyword arguments.

Enhanced namespace objects¶

Namespace objects can now create URIs when indexed or called like a function. This makes it easier to create URIs where the local name is not a valid attribute name:

>>> from franz.openrdf.connect import ag_connect
>>> conn = ag_connect('repo')
>>> ex = conn.namespace('http://franz.com/example/')
>>> ex('is')
<http://franz.com/example/is>
>>> ex['def']
<http://franz.com/example/def>

Release 100.0.4¶

Jupyter-friendly stdout¶

The output_to context manager (used internally when writing output to stdout) has been modified to work better in environments that hijack the sys.stdout value, such as Jupyter notebooks or IDLE.

Release 100.0.3¶

Resolved issues with running unit tests from a wheel¶

Some unit tests used to fail when the module was installed from a binary wheel. This has been corrected.

bug25081: The ‘context’ argument to addTriples() is broken¶

Using the addTriples() method with the context parameter set to a non-default value used to produce errors:

>>> conn.addTriples([(s, p, o)], context=g)
400 MALFORMED DATA: Invalid graph name: (<ex://g>)

This has been corrected. Context can now be set to a single URI or a list of URIs. Both URI objects and strings are supported.

bug25079: Statement objects not created from strings are broken¶

Statement objects that were created in user code were not fully functional. In particular attempts to convert such statements to strings or to pass them to addTriples() would fail.

This has been corrected.

Namespace objects¶

Namespace objects can be used to create URIs, as in the following example:

>>> from franz.openrdf.connect import ag_connect
>>> conn = ag_connect('repo')
>>> ex = conn.namespace('http://franz.com/example/')
>>> ex.foo
<http://franz.com/example/foo>

Release 100.0.2¶

New query methods¶

Four new methods have been added to the RepositoryConnection class:

executeTupleQuery()

executeGraphQuery()

executeBooleanQuery()

executeUpdate()

These can be used to prepare and evaluate a SPARQL query in a single call.

New tutorial¶

The tutorial has been updated and restyled using Sphinx.

Finalizers for query results¶

All result objects are now closed automatically when garbage collected. This makes it possible to write simple loops like the one below:

for stmt in conn.executeTupleQuery('...'):
    ...

without having to use the with statement, since reference counting will ensure that the query result is closed at the right time. Note that this should not be relied upon in more complex scenarios, where circular references might occur and prevent the result object from being closed.

Connection parameters can now be passed in environment variables¶

The following environment variables are now used when connecting to the server:

AGRAPH_HOST - server address, the default is ‘127.0.0.1’

AGRAPH_PORT - port number (default: 10035 for HTTP connections,

10036 for HTTPS).

AGRAPH_USER - Username, no default.

AGRAPH_PASSWORD - Password, no default.

Note that parameters passed to ag_connect() or AllegroGraphServer() will override these variables.

Release 100.0.1¶

bug24892: Time parsing fixes¶

The Python client used to fail when trying to retrieve a datetimeValue() of a literal that contained time zone information. This has been corrected.

All datetime objects created by the Python API are now timezone-aware.

rfe15005: duplicate suppression control API¶

It is now possible to set and query the duplicate suppression policy of a repository from Python, using three new methods of the connection object:

getDuplicateSuppressionPolicy()

setDuplicateSuppressionPolicy()

disableDuplicateSuppression()

New export methods¶

A new mechanism for exporting data has been added. It utilizes a new output parameter that has been added to the following methods:

RepositoryConnection.getStatements()

RepositoryConnection.getStatementsById()

TupleQuery.evaluate()

GraphQuery.evaluate()

Setting the new parameter to a file name or a file-like object will cause the data that would normally be returned by the call to be saved to the specified file instead. Serialization format can be controlled by setting another new parameter, output_format.

Release 100.0.0¶

New versioning scheme¶

Client versions no longer match the server version. Major version number has been bumped to 100 to avoid confusion.

bug24819: Circular import¶

Importing com.franz.openrdf.query.query failed due to a circular import. Thanks to Maximilien de Bayser for reporting this.

bug24826: removeStatement uses context instead of object¶

The removeStatement method of RepositoryConnection was broken. Patch by Maximilien de Bayser.

Release 6.2.2.0.4¶

bug24728: Incorrect conversion between boolean literals and Python values¶

The booleanValue() method of the Literal class used to work incorrectly. It would return True for any literal that is not empty, including the “false”^^xsd:boolean literal. This has been corrected - the function will now return expected values for literals of type xsd:boolean. Result for other types remains undefined.

Release 6.2.2.0.1¶

bug24680: to_native_string is broken on Python 2¶

The Python client sometimes failed while processing values with non-ascii characters, showing the following error message:

UnicodeEncodeError: ‘ascii’ codec can’t encode characters in position ??: ordinal not in range(128)