diff options
Diffstat (limited to 'python-pyshacl.spec')
| -rw-r--r-- | python-pyshacl.spec | 47 |
1 files changed, 28 insertions, 19 deletions
diff --git a/python-pyshacl.spec b/python-pyshacl.spec index 37b7cba..92aafcc 100644 --- a/python-pyshacl.spec +++ b/python-pyshacl.spec @@ -1,11 +1,11 @@ %global _empty_manifest_terminate_build 0 Name: python-pyshacl -Version: 0.21.0 +Version: 0.22.0 Release: 1 Summary: Python SHACL Validator License: Apache-2.0 URL: https://github.com/RDFLib/pySHACL -Source0: https://mirrors.nju.edu.cn/pypi/web/packages/55/0f/f96c0dc6fcc2d12cf352ea81eaa8d061b9afe47459ab73955448eecf0bc0/pyshacl-0.21.0.tar.gz +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/f1/0d/8cebe682d77a5e307036099c173676a6b57a474a1123d25ee24b6e52600e/pyshacl-0.22.0.tar.gz BuildArch: noarch Requires: python3-black @@ -100,7 +100,7 @@ usage: pyshacl [-h] [-s [SHACL]] [-e [ONT]] [-i {none,rdfs,owlrl,both}] [-m] [-ef {auto,turtle,xml,json-ld,nt,n3}] [-V] [-o [OUTPUT]] DataGraph -PySHACL 0.21.0 command line tool. +PySHACL 0.22.0 command line tool. positional arguments: DataGraph The file containing the Target Data Graph. @@ -112,7 +112,8 @@ optional arguments: A file containing the SHACL Shapes Graph. -e [ONT], --ont-graph [ONT] A file path or URL to a document containing extra - ontological information to mix into the data graph. + ontological information. RDFS and OWL definitions from this + are used to inoculate the DataGraph. -i {none,rdfs,owlrl,both}, --inference {none,rdfs,owlrl,both} Choose a type of inferencing to run against the Data Graph before validating. @@ -171,7 +172,7 @@ conforms, results_graph, results_text = r Where: * `data_graph` is an rdflib `Graph` object or file path of the graph to be validated * `shacl_graph` is an rdflib `Graph` object or file path or Web URL of the graph containing the SHACL shapes to validate with, or None if the SHACL shapes are included in the data_graph. -* `ont_graph` is an rdflib `Graph` object or file path or Web URL a graph containing extra ontological information, or None if not required. +* `ont_graph` is an rdflib `Graph` object or file path or Web URL a graph containing extra ontological information, or None if not required. RDFS and OWL definitions from this are used to inoculate the DataGraph. * `inference` is a Python string value to indicate whether or not to perform OWL inferencing expansion of the `data_graph` before validation. Options are 'rdfs', 'owlrl', 'both', or 'none'. The default is 'none'. * `abort_on_first` (optional) `bool` value to indicate whether or not the program should abort after encountering the first validation failure or to continue. Default is to continue. @@ -207,7 +208,7 @@ You can get an equivalent of the Command Line Tool using the Python3 executable $ python3 -m pyshacl ``` -## Integrated OpenAPI3.0-compatible HTTP REST Service +## Integrated OpenAPI-3.0-compatible HTTP REST Service PySHACL now has a built-in validation service, exposed via an OpenAPI3.0-compatible REST API. @@ -227,6 +228,8 @@ $ pyshacl --server $ pyshacl_server # or $ python3 -m pyshacl server +# or +$ docker run --rm -e PYSHACL_SERVER=TRUE -i -t docker.io/ashleysommer/pyshacl:latest ``` By default, this will run the service on localhost address `127.0.0.1` on port `8099`. @@ -291,7 +294,7 @@ Or build the image yourself, from the PySHACL repository with `docker build . -t You can now run PySHACL inside a container; but you need to mount the data you want to validate. For example, to validate `graph.ttl` against `shacl.ttl`, run : ```bash -docker run --rm --mount type=bind,src=`pwd`,dst=/data pyshacl -s /data/shacl.ttl /data/graph.ttl +docker run --rm -i -t --mount type=bind,src=`pwd`,dst=/data pyshacl -s /data/shacl.ttl /data/graph.ttl ``` ## Compatibility @@ -424,7 +427,7 @@ usage: pyshacl [-h] [-s [SHACL]] [-e [ONT]] [-i {none,rdfs,owlrl,both}] [-m] [-ef {auto,turtle,xml,json-ld,nt,n3}] [-V] [-o [OUTPUT]] DataGraph -PySHACL 0.21.0 command line tool. +PySHACL 0.22.0 command line tool. positional arguments: DataGraph The file containing the Target Data Graph. @@ -436,7 +439,8 @@ optional arguments: A file containing the SHACL Shapes Graph. -e [ONT], --ont-graph [ONT] A file path or URL to a document containing extra - ontological information to mix into the data graph. + ontological information. RDFS and OWL definitions from this + are used to inoculate the DataGraph. -i {none,rdfs,owlrl,both}, --inference {none,rdfs,owlrl,both} Choose a type of inferencing to run against the Data Graph before validating. @@ -495,7 +499,7 @@ conforms, results_graph, results_text = r Where: * `data_graph` is an rdflib `Graph` object or file path of the graph to be validated * `shacl_graph` is an rdflib `Graph` object or file path or Web URL of the graph containing the SHACL shapes to validate with, or None if the SHACL shapes are included in the data_graph. -* `ont_graph` is an rdflib `Graph` object or file path or Web URL a graph containing extra ontological information, or None if not required. +* `ont_graph` is an rdflib `Graph` object or file path or Web URL a graph containing extra ontological information, or None if not required. RDFS and OWL definitions from this are used to inoculate the DataGraph. * `inference` is a Python string value to indicate whether or not to perform OWL inferencing expansion of the `data_graph` before validation. Options are 'rdfs', 'owlrl', 'both', or 'none'. The default is 'none'. * `abort_on_first` (optional) `bool` value to indicate whether or not the program should abort after encountering the first validation failure or to continue. Default is to continue. @@ -531,7 +535,7 @@ You can get an equivalent of the Command Line Tool using the Python3 executable $ python3 -m pyshacl ``` -## Integrated OpenAPI3.0-compatible HTTP REST Service +## Integrated OpenAPI-3.0-compatible HTTP REST Service PySHACL now has a built-in validation service, exposed via an OpenAPI3.0-compatible REST API. @@ -551,6 +555,8 @@ $ pyshacl --server $ pyshacl_server # or $ python3 -m pyshacl server +# or +$ docker run --rm -e PYSHACL_SERVER=TRUE -i -t docker.io/ashleysommer/pyshacl:latest ``` By default, this will run the service on localhost address `127.0.0.1` on port `8099`. @@ -615,7 +621,7 @@ Or build the image yourself, from the PySHACL repository with `docker build . -t You can now run PySHACL inside a container; but you need to mount the data you want to validate. For example, to validate `graph.ttl` against `shacl.ttl`, run : ```bash -docker run --rm --mount type=bind,src=`pwd`,dst=/data pyshacl -s /data/shacl.ttl /data/graph.ttl +docker run --rm -i -t --mount type=bind,src=`pwd`,dst=/data pyshacl -s /data/shacl.ttl /data/graph.ttl ``` ## Compatibility @@ -745,7 +751,7 @@ usage: pyshacl [-h] [-s [SHACL]] [-e [ONT]] [-i {none,rdfs,owlrl,both}] [-m] [-ef {auto,turtle,xml,json-ld,nt,n3}] [-V] [-o [OUTPUT]] DataGraph -PySHACL 0.21.0 command line tool. +PySHACL 0.22.0 command line tool. positional arguments: DataGraph The file containing the Target Data Graph. @@ -757,7 +763,8 @@ optional arguments: A file containing the SHACL Shapes Graph. -e [ONT], --ont-graph [ONT] A file path or URL to a document containing extra - ontological information to mix into the data graph. + ontological information. RDFS and OWL definitions from this + are used to inoculate the DataGraph. -i {none,rdfs,owlrl,both}, --inference {none,rdfs,owlrl,both} Choose a type of inferencing to run against the Data Graph before validating. @@ -816,7 +823,7 @@ conforms, results_graph, results_text = r Where: * `data_graph` is an rdflib `Graph` object or file path of the graph to be validated * `shacl_graph` is an rdflib `Graph` object or file path or Web URL of the graph containing the SHACL shapes to validate with, or None if the SHACL shapes are included in the data_graph. -* `ont_graph` is an rdflib `Graph` object or file path or Web URL a graph containing extra ontological information, or None if not required. +* `ont_graph` is an rdflib `Graph` object or file path or Web URL a graph containing extra ontological information, or None if not required. RDFS and OWL definitions from this are used to inoculate the DataGraph. * `inference` is a Python string value to indicate whether or not to perform OWL inferencing expansion of the `data_graph` before validation. Options are 'rdfs', 'owlrl', 'both', or 'none'. The default is 'none'. * `abort_on_first` (optional) `bool` value to indicate whether or not the program should abort after encountering the first validation failure or to continue. Default is to continue. @@ -852,7 +859,7 @@ You can get an equivalent of the Command Line Tool using the Python3 executable $ python3 -m pyshacl ``` -## Integrated OpenAPI3.0-compatible HTTP REST Service +## Integrated OpenAPI-3.0-compatible HTTP REST Service PySHACL now has a built-in validation service, exposed via an OpenAPI3.0-compatible REST API. @@ -872,6 +879,8 @@ $ pyshacl --server $ pyshacl_server # or $ python3 -m pyshacl server +# or +$ docker run --rm -e PYSHACL_SERVER=TRUE -i -t docker.io/ashleysommer/pyshacl:latest ``` By default, this will run the service on localhost address `127.0.0.1` on port `8099`. @@ -936,7 +945,7 @@ Or build the image yourself, from the PySHACL repository with `docker build . -t You can now run PySHACL inside a container; but you need to mount the data you want to validate. For example, to validate `graph.ttl` against `shacl.ttl`, run : ```bash -docker run --rm --mount type=bind,src=`pwd`,dst=/data pyshacl -s /data/shacl.ttl /data/graph.ttl +docker run --rm -i -t --mount type=bind,src=`pwd`,dst=/data pyshacl -s /data/shacl.ttl /data/graph.ttl ``` ## Compatibility @@ -991,7 +1000,7 @@ Brisbane, Qld, Australia %prep -%autosetup -n pyshacl-0.21.0 +%autosetup -n pyshacl-0.22.0 %build %py3_build @@ -1031,5 +1040,5 @@ mv %{buildroot}/doclist.lst . %{_docdir}/* %changelog -* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.21.0-1 +* Tue Apr 25 2023 Python_Bot <Python_Bot@openeuler.org> - 0.22.0-1 - Package Spec generated |