automatic import of python-pytest-schema

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+%global _empty_manifest_terminate_build 0
+Name:		python-pytest-schema
+Version:	0.1.1
+Release:	1
+Summary:	👍 Validate return values against a schema-like object in testing
+License:	MIT
+URL:		https://github.com/codedawi/pytest-schema
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/cf/59/bd7eab0c50bc5d883ce789f590478bd526f14585fbe35c8aad86bd731592/pytest-schema-0.1.1.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-pytest
+Requires:	python3-schema
+
+%description
+# pytest-schema
+
+![](https://img.shields.io/badge/python-3.6%20%7C%203.7%20%7C%203.8-blue?logo=python) [![PyPI version](https://img.shields.io/pypi/v/pytest-schema.svg)](https://pypi.python.org/pypi/pytest-schema/) [![PyPI download month](https://img.shields.io/pypi/dm/pytest-schema.svg)](https://pypi.python.org/pypi/pytest-schema/) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+
+
+👍 Validate return values against a schema-like object in testing
+
+[`keleshev/schema`](https://github.com/keleshev/schema) is a library for validating Python data structures, such as
+those obtained from config-files, forms, external services or
+command-line parsing, converted from JSON/YAML (or something else) to Python data-types.
+
+## Install
+
+```bash
+pip install pytest-schema
+```
+
+## Basic Example
+
+Here is a quick example of using **`schema`**:
+```python
+from pytest_schema import schema, exact, like
+
+article_v1 = {
+    "id": int,
+    "title": str,
+    "completed": bool,
+    "engagement": {
+        "viewer": list,
+        "rating": float,
+    },
+    "metadata": dict
+}
+
+def test_article_v1_endpoint(test_client):
+    """
+    Test calling v1 endpoint and validating the response
+    is in the correctly/expected format.
+    """
+    response_v1 = test_client.get("/api/v1/article/1")
+    assert exact(article_v1) == response_v1
+    # Same as:
+    # assert schema(article_v1) == response_v1
+
+article_v2 = {
+    **article_v1,
+    "someNewField": int
+}
+
+def test_article_v2_endpoint(test_client):
+    """
+    Test calling v2 endpoint is backwards compatible with v1
+    """
+    response_v2 = test_client.get("/api/v2/article/1")
+
+    assert like(article_v1) == value
+
+```
+## Full Example
+
+Here is a more complex example of using **`schema`**:
+
+``` python
+from pytest_schema import schema, And, Enum, Optional, Or, Regex
+
+# single user schema
+user = {
+    # id must be int
+    "id": int,
+    # name must be type str
+    "name": str,
+    # email must be type str or nullable
+    "description": Or(None, str),
+    # email valid str format
+    "email": Regex(r".*?@.*?\.[A-Za-z]{2,6}"),
+    # age converted to int then validated gt 18 lt 99 and must be type str
+    "age": And(int, lambda n: 18 <= n <= 99),
+    # gender key is optional but must be str
+    Optional("gender"): str,
+    # role of enum values
+    "role": Enum(["user", "super-user", "admin"]),
+    # list of ids ref friends
+    "friends": [ int ],
+    # nested dict to valid as address
+    "address": {
+        "street": str,
+        Optional("street2"): str,
+        "city": str,
+        "state": And(str, lambda s: len(s) == 2),
+        "zipcode": str,
+    }
+
+}
+
+# multiple users schema
+users = [ user ]
+
+def test_users_endpoint():
+    """
+    Test calling a users endpoint and validating its
+    response of users info is correct format.
+    """
+    response = [
+        # ✅ Valid 
+        {
+            "id": 2,
+            "name": "Sue",
+            "age": 28,
+            "email": "sue@gmail.com",
+            "gender": "female",
+            "role": "admin",
+            "friends": [5, 6],
+            "address": {
+                "street": "123 Washington Ave.",
+                "city": "New York",
+                "state": "NY",
+                "zipcode": "099012",
+            }
+        },
+        # ✅ Valid
+        {
+            "id": 5
+            "name": "Sam",
+            "age": 42,
+            "email": "sam@aol.com",
+            "role": "user",
+            "friends": [2, 6, 7],
+            "address": {
+                "street": "5 Sunset St.",
+                "street2": "Apt # 55-b",
+                "city": "San Jose",
+                "state": "CA",
+                "zipcode": "054053",
+            }
+        },
+    ]
+
+    assert schema(users) == response
+
+def test_users_endpoint_INVALID():
+    """
+    Test calling a users endpoint and validating its
+    response of users info is INVALID format.
+    """
+    response = [
+        # ❌ Invalid
+        {
+            "id": "null",
+            "name": None,
+            "age": 0,
+            "email": "unknown@msn",
+            "role": "unknown",
+            "friends": None,
+            "address": "5 Sunset St., San Jose, CA, 054053",
+        },
+    ]
+
+    # Option 1:
+    assert schema(users) != response
+    
+    # Option 2:
+    with pytest.raises(SchemaError):
+        schema(users) == response
+
+```
+
+If data is **`valid`**, it will return the `True`.
+If data is **`invalid`**, it will raise `SchemaError` exception.
+
+
+## Supported validations
+
+See: [keleshev/schema](https://github.com/keleshev/schema) full documentation.
+
+
+
+%package -n python3-pytest-schema
+Summary:	👍 Validate return values against a schema-like object in testing
+Provides:	python-pytest-schema
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-pytest-schema
+# pytest-schema
+
+![](https://img.shields.io/badge/python-3.6%20%7C%203.7%20%7C%203.8-blue?logo=python) [![PyPI version](https://img.shields.io/pypi/v/pytest-schema.svg)](https://pypi.python.org/pypi/pytest-schema/) [![PyPI download month](https://img.shields.io/pypi/dm/pytest-schema.svg)](https://pypi.python.org/pypi/pytest-schema/) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+
+
+👍 Validate return values against a schema-like object in testing
+
+[`keleshev/schema`](https://github.com/keleshev/schema) is a library for validating Python data structures, such as
+those obtained from config-files, forms, external services or
+command-line parsing, converted from JSON/YAML (or something else) to Python data-types.
+
+## Install
+
+```bash
+pip install pytest-schema
+```
+
+## Basic Example
+
+Here is a quick example of using **`schema`**:
+```python
+from pytest_schema import schema, exact, like
+
+article_v1 = {
+    "id": int,
+    "title": str,
+    "completed": bool,
+    "engagement": {
+        "viewer": list,
+        "rating": float,
+    },
+    "metadata": dict
+}
+
+def test_article_v1_endpoint(test_client):
+    """
+    Test calling v1 endpoint and validating the response
+    is in the correctly/expected format.
+    """
+    response_v1 = test_client.get("/api/v1/article/1")
+    assert exact(article_v1) == response_v1
+    # Same as:
+    # assert schema(article_v1) == response_v1
+
+article_v2 = {
+    **article_v1,
+    "someNewField": int
+}
+
+def test_article_v2_endpoint(test_client):
+    """
+    Test calling v2 endpoint is backwards compatible with v1
+    """
+    response_v2 = test_client.get("/api/v2/article/1")
+
+    assert like(article_v1) == value
+
+```
+## Full Example
+
+Here is a more complex example of using **`schema`**:
+
+``` python
+from pytest_schema import schema, And, Enum, Optional, Or, Regex
+
+# single user schema
+user = {
+    # id must be int
+    "id": int,
+    # name must be type str
+    "name": str,
+    # email must be type str or nullable
+    "description": Or(None, str),
+    # email valid str format
+    "email": Regex(r".*?@.*?\.[A-Za-z]{2,6}"),
+    # age converted to int then validated gt 18 lt 99 and must be type str
+    "age": And(int, lambda n: 18 <= n <= 99),
+    # gender key is optional but must be str
+    Optional("gender"): str,
+    # role of enum values
+    "role": Enum(["user", "super-user", "admin"]),
+    # list of ids ref friends
+    "friends": [ int ],
+    # nested dict to valid as address
+    "address": {
+        "street": str,
+        Optional("street2"): str,
+        "city": str,
+        "state": And(str, lambda s: len(s) == 2),
+        "zipcode": str,
+    }
+
+}
+
+# multiple users schema
+users = [ user ]
+
+def test_users_endpoint():
+    """
+    Test calling a users endpoint and validating its
+    response of users info is correct format.
+    """
+    response = [
+        # ✅ Valid 
+        {
+            "id": 2,
+            "name": "Sue",
+            "age": 28,
+            "email": "sue@gmail.com",
+            "gender": "female",
+            "role": "admin",
+            "friends": [5, 6],
+            "address": {
+                "street": "123 Washington Ave.",
+                "city": "New York",
+                "state": "NY",
+                "zipcode": "099012",
+            }
+        },
+        # ✅ Valid
+        {
+            "id": 5
+            "name": "Sam",
+            "age": 42,
+            "email": "sam@aol.com",
+            "role": "user",
+            "friends": [2, 6, 7],
+            "address": {
+                "street": "5 Sunset St.",
+                "street2": "Apt # 55-b",
+                "city": "San Jose",
+                "state": "CA",
+                "zipcode": "054053",
+            }
+        },
+    ]
+
+    assert schema(users) == response
+
+def test_users_endpoint_INVALID():
+    """
+    Test calling a users endpoint and validating its
+    response of users info is INVALID format.
+    """
+    response = [
+        # ❌ Invalid
+        {
+            "id": "null",
+            "name": None,
+            "age": 0,
+            "email": "unknown@msn",
+            "role": "unknown",
+            "friends": None,
+            "address": "5 Sunset St., San Jose, CA, 054053",
+        },
+    ]
+
+    # Option 1:
+    assert schema(users) != response
+    
+    # Option 2:
+    with pytest.raises(SchemaError):
+        schema(users) == response
+
+```
+
+If data is **`valid`**, it will return the `True`.
+If data is **`invalid`**, it will raise `SchemaError` exception.
+
+
+## Supported validations
+
+See: [keleshev/schema](https://github.com/keleshev/schema) full documentation.
+
+
+
+%package help
+Summary:	Development documents and examples for pytest-schema
+Provides:	python3-pytest-schema-doc
+%description help
+# pytest-schema
+
+![](https://img.shields.io/badge/python-3.6%20%7C%203.7%20%7C%203.8-blue?logo=python) [![PyPI version](https://img.shields.io/pypi/v/pytest-schema.svg)](https://pypi.python.org/pypi/pytest-schema/) [![PyPI download month](https://img.shields.io/pypi/dm/pytest-schema.svg)](https://pypi.python.org/pypi/pytest-schema/) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+
+
+👍 Validate return values against a schema-like object in testing
+
+[`keleshev/schema`](https://github.com/keleshev/schema) is a library for validating Python data structures, such as
+those obtained from config-files, forms, external services or
+command-line parsing, converted from JSON/YAML (or something else) to Python data-types.
+
+## Install
+
+```bash
+pip install pytest-schema
+```
+
+## Basic Example
+
+Here is a quick example of using **`schema`**:
+```python
+from pytest_schema import schema, exact, like
+
+article_v1 = {
+    "id": int,
+    "title": str,
+    "completed": bool,
+    "engagement": {
+        "viewer": list,
+        "rating": float,
+    },
+    "metadata": dict
+}
+
+def test_article_v1_endpoint(test_client):
+    """
+    Test calling v1 endpoint and validating the response
+    is in the correctly/expected format.
+    """
+    response_v1 = test_client.get("/api/v1/article/1")
+    assert exact(article_v1) == response_v1
+    # Same as:
+    # assert schema(article_v1) == response_v1
+
+article_v2 = {
+    **article_v1,
+    "someNewField": int
+}
+
+def test_article_v2_endpoint(test_client):
+    """
+    Test calling v2 endpoint is backwards compatible with v1
+    """
+    response_v2 = test_client.get("/api/v2/article/1")
+
+    assert like(article_v1) == value
+
+```
+## Full Example
+
+Here is a more complex example of using **`schema`**:
+
+``` python
+from pytest_schema import schema, And, Enum, Optional, Or, Regex
+
+# single user schema
+user = {
+    # id must be int
+    "id": int,
+    # name must be type str
+    "name": str,
+    # email must be type str or nullable
+    "description": Or(None, str),
+    # email valid str format
+    "email": Regex(r".*?@.*?\.[A-Za-z]{2,6}"),
+    # age converted to int then validated gt 18 lt 99 and must be type str
+    "age": And(int, lambda n: 18 <= n <= 99),
+    # gender key is optional but must be str
+    Optional("gender"): str,
+    # role of enum values
+    "role": Enum(["user", "super-user", "admin"]),
+    # list of ids ref friends
+    "friends": [ int ],
+    # nested dict to valid as address
+    "address": {
+        "street": str,
+        Optional("street2"): str,
+        "city": str,
+        "state": And(str, lambda s: len(s) == 2),
+        "zipcode": str,
+    }
+
+}
+
+# multiple users schema
+users = [ user ]
+
+def test_users_endpoint():
+    """
+    Test calling a users endpoint and validating its
+    response of users info is correct format.
+    """
+    response = [
+        # ✅ Valid 
+        {
+            "id": 2,
+            "name": "Sue",
+            "age": 28,
+            "email": "sue@gmail.com",
+            "gender": "female",
+            "role": "admin",
+            "friends": [5, 6],
+            "address": {
+                "street": "123 Washington Ave.",
+                "city": "New York",
+                "state": "NY",
+                "zipcode": "099012",
+            }
+        },
+        # ✅ Valid
+        {
+            "id": 5
+            "name": "Sam",
+            "age": 42,
+            "email": "sam@aol.com",
+            "role": "user",
+            "friends": [2, 6, 7],
+            "address": {
+                "street": "5 Sunset St.",
+                "street2": "Apt # 55-b",
+                "city": "San Jose",
+                "state": "CA",
+                "zipcode": "054053",
+            }
+        },
+    ]
+
+    assert schema(users) == response
+
+def test_users_endpoint_INVALID():
+    """
+    Test calling a users endpoint and validating its
+    response of users info is INVALID format.
+    """
+    response = [
+        # ❌ Invalid
+        {
+            "id": "null",
+            "name": None,
+            "age": 0,
+            "email": "unknown@msn",
+            "role": "unknown",
+            "friends": None,
+            "address": "5 Sunset St., San Jose, CA, 054053",
+        },
+    ]
+
+    # Option 1:
+    assert schema(users) != response
+    
+    # Option 2:
+    with pytest.raises(SchemaError):
+        schema(users) == response
+
+```
+
+If data is **`valid`**, it will return the `True`.
+If data is **`invalid`**, it will raise `SchemaError` exception.
+
+
+## Supported validations
+
+See: [keleshev/schema](https://github.com/keleshev/schema) full documentation.
+
+
+
+%prep
+%autosetup -n pytest-schema-0.1.1
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-pytest-schema -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.1-1
+- Package Spec generated