«franz.openrdf.vocabulary package

AllegroGraph Python client release history¶

Release 104.1.1¶

Fixed hatch (hatchling) and supported Python’s version specifier in pyproject.toml.

Release 104.1.0¶

Added dimensions argument to vector store repo creation funcions.

Release 104.0.0¶

Add support for vector repo functions. Requires agraph 8.0 or newer

Release 103.1.0¶

add Python 3.12 support¶

To support Python 3.12, the requests package has been upgraded to 2.32.3.

Release 103.0.1¶

Removal of simplejson Dependency¶

Python’s own json module will be used for parsing JSON data.

Release 103.0.0¶

Discontinuation of Support for Python 3.7 and Earlier Versions¶

From this release, the minimum required version of Python becomes 3.8.

Removal of pycurl Dependency¶

We have decided to remove pycurl from the list of dependencies. This decision was influenced by the complex nature of pycurl’s installation process and concerns regarding its sustainability and upkeep.

Project Management Migration to Hatch¶

We have migrated from Tox to Hatch for project management. We believe that Hatch offers better defaults and more high-level features compared to Tox. As a result, all of the project’s metadata has been transferred from setup.py to pyproject.toml, which provides self-documentation for metadata as well as development-related configurations.

Code Formatter Integration¶

The entire repository’s Python code has been reformatted using black and isort. Both formatters are now integrated and configured in pyproject.toml.

Release 102.1.2¶

Update required version of requests to 2.25.0¶

Change required version of requests from 2.23.0 to 2.25.0 This fixes an issue in agraph-python when used on Python 3.10 or 3.11

Release 102.1.1¶

Add TriplesBuffer utility¶

Add TriplesBuffer, a utility class that helps users efficiently add triples in batches.

Release 102.1.0¶

Support rdf-star¶

Add support for rdf-star. Requires Allegrograph 8.0.0 or newer.

Release 102.0.0¶

Drop support for Python 2¶

Python 2 was created 23 years ago and sunsetted 3 years ago. Python 3 was created 15 years ago and is still current.

The Python 2 compatible code will still exist in the git repo on github and can be checked out and built.

Release 101.0.11¶

use getargspec only for Python 2.7¶

Import “getargspec” and alias it as “getfullargspec” only if it’s Python 2.x; if it’s Python 3.x, we import “getfullargspec” from “inspect” package directly.

Release 101.0.10¶

rfe16865: support graphql queries in python¶

New method evalGraphqlQuery has been added to RepositoryConnection class. It is a thin wrapper over the HTTP API: https://franz.com/agraph/support/documentation/current/http-reference.html#backend-post-catalogs-repositories-graphql

Release 101.0.9¶

Make loading the module six an installation requirement¶

Release 101.0.8¶

Allow sparql queries inside a Jupyter notebook¶

Also Allow “root” to denote the root catalog Update some module versions Fix the specification of a protocol when creating a connection.

Release 101.0.7¶

rfe16555: Add support for handling 204 responses from AG¶

The AllegroGraph server, starting in vesion 7.1.0, may return a 204 (no content) response when it knows that it will not be returning any data. The client will then create a null cursor, rather than creating an http cursor which when used immediately returns ‘no data left’

Release 101.0.6¶

rfe16523: query options API¶

RepositoryConnection class now provides a set of methods for managing per-user/per-repository SPARQL query options. The methods utilize a server-side API that is available in AllegroGraph v7.1.0 and later and are similar to the namespace management methods:

getQueryOptions()

getQueryOption()

setQueryOption()

removeQueryOption()

clearQueryOptions()

Release 101.0.5¶

Fix bug in URI’s split function¶

split() was splitting on the wrong character. Fix submitted via github.

Release 101.0.4¶

Dependency updates¶

Package	Previous version	New version
`urllib3`	`1.24.2`	`1.25.8`

Release 101.0.3¶

rfe16393: Let SPARQL SELECT queries return metadata¶

Extend TupleQueryResult with a field named metadata that contains the query execution properties, like time spent and memory used:

>>> from franz.openrdf.query.query import QueryLanguage
>>> query = conn.prepareTupleQuery(QueryLanguage.SPARQL, "SELECT * { ?s ?p ?o }")
>>> result = query.evaluate()
>>> queryDuration = result.metadata['time']['total']

For now this is only supported on SELECT queries.

Multiple-namespace URI factory object¶

Added new method ValueFactory.namespaces() that takes a dictionary of the form {<prefix>: <namespace>, …} and returns a factory object that allows to create URIs from the strings of the form <prefix>:<name>, dispatching the prefix to corresponding namespace:

>>> prefixes = {'': 'http://this.org#', 'ex': 'http://example.org#'}
>>> nss = conn.getValueFactory().namespaces(prefixes)
>>> nss[':resource']
<http://this.org#resource>
>>> nss('ex:resource')
<http://example.org#resource>

Release 101.0.2¶

Fix interoperability with Python 3.5.3¶

The error “TypeError: ‘ContextAttribute’ object is not callable” would occur when using the AllegroGraph Python client with Python 3.5.3. This has been fixed.

Raise error when attemping to federate certain sessions¶

A session started by AllegroGraphServer.openSession() cannot be federated because this type of session may not be for a single repository and may in fact already be a session over a federation of repositories. To federate repositories pass a set of Repository.getConnection() objects. With this change an exception will be raised when attempting to federate a RepositoryConnection created by AllegroGraphServer.openSession().

Release 101.0.1¶

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().

Update dependencies which have security vulnerabilities¶

Bumped urllib3 from 1.22 to 1.23 and requests from 2.18.4 to 2.20.0 according to recommendations made by Github.

Ensure sessions are closed properly¶

Sessions created via the openFederation() or openSession() methods of franz.openrdf.sail.allegrographserver.AllegroGraphServer were not closed when close() was called on the resulting connection. This has been fixed.

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)