Merge pull request #54 from regulaforensics/86e97fb7

update-clients

.github/workflows/pypi-publish.yml

@@ -22,7 +22,7 @@ jobs:
         run: pipenv install --dev
       - name: Publish package
         run: |
-          pipenv run pipenv-setup sync
+          pipenv run pipenv sync
           pipenv run python setup.py sdist bdist_wheel
           pipenv run twine upload -u __token__ -p ${{secrets.PYPI_PUBLISH_TOKEN}} dist/*
         env:

.openapi-generator/FILES

@@ -3,6 +3,7 @@ regula/facesdk/__init__.py
 regula/facesdk/webclient/gen/__init__.py
 regula/facesdk/webclient/gen/api/__init__.py
 regula/facesdk/webclient/gen/api/group_api.py
+regula/facesdk/webclient/gen/api/liveness_api.py
 regula/facesdk/webclient/gen/api/matching_api.py
 regula/facesdk/webclient/gen/api/person_api.py
 regula/facesdk/webclient/gen/api/search_api.py

Pipfile

@@ -5,14 +5,17 @@ name = "pypi"
 
 [packages]
 certifi = "==2022.6.15.1"
-future = "*"
 six = ">=1.10"
 python-dateutil = ">=2.5.3"
 urllib3 = ">=1.15.1"
+vistir = ">=0.4.0, <=0.6.1"
 
 [dev-packages]
 setuptools = ">=21.0.0"
 pipenv-setup = "*"
 wheel = "*"
 twine = "*"
-chardet = "*"
+chardet = "*"
+
+[requires]
+python_version = "3.8"

regula/facesdk/webclient/gen/apis/__init__.py

@@ -15,6 +15,7 @@
 
 # Import APIs into API package:
 from regula.facesdk.webclient.gen.api.group_api import GroupApi
+from regula.facesdk.webclient.gen.api.liveness_api import LivenessApi
 from regula.facesdk.webclient.gen.api.matching_api import MatchingApi
 from regula.facesdk.webclient.gen.api.person_api import PersonApi
 from regula.facesdk.webclient.gen.api.search_api import SearchApi

regula/facesdk/webclient/gen/model/match_and_search_request.py

@@ -115,7 +115,7 @@ def limit(self, limit):
     def threshold(self):
         """Gets the threshold of this MatchAndSearchRequest.  # noqa: E501
 
-        The similarity distance threshold.  # noqa: E501
+        The similarity distance threshold, should be between 0.0 and 2.0, where 0.0 is for returning results for only the most similar persons and 2.0 is for all the persons, even the dissimilar ones. If not set, the default 1.0 value is used.  # noqa: E501
 
         :return: The threshold of this MatchAndSearchRequest.  # noqa: E501
         :rtype: float
@@ -126,7 +126,7 @@ def threshold(self):
     def threshold(self, threshold):
         """Sets the threshold of this MatchAndSearchRequest.
 
-        The similarity distance threshold.  # noqa: E501
+        The similarity distance threshold, should be between 0.0 and 2.0, where 0.0 is for returning results for only the most similar persons and 2.0 is for all the persons, even the dissimilar ones. If not set, the default 1.0 value is used.  # noqa: E501
 
         :param threshold: The threshold of this MatchAndSearchRequest.  # noqa: E501
         :type threshold: float

regula/facesdk/webclient/gen/model/search_parameters.py

@@ -89,7 +89,7 @@ def limit(self, limit):
     def threshold(self):
         """Gets the threshold of this SearchParameters.  # noqa: E501
 
-        The similarity distance threshold.  # noqa: E501
+        The similarity distance threshold, should be between 0.0 and 2.0, where 0.0 is for returning results for only the most similar persons and 2.0 is for all the persons, even the dissimilar ones. If not set, the default 1.0 value is used.  # noqa: E501
 
         :return: The threshold of this SearchParameters.  # noqa: E501
         :rtype: float
@@ -100,7 +100,7 @@ def threshold(self):
     def threshold(self, threshold):
         """Sets the threshold of this SearchParameters.
 
-        The similarity distance threshold.  # noqa: E501
+        The similarity distance threshold, should be between 0.0 and 2.0, where 0.0 is for returning results for only the most similar persons and 2.0 is for all the persons, even the dissimilar ones. If not set, the default 1.0 value is used.  # noqa: E501
 
         :param threshold: The threshold of this SearchParameters.  # noqa: E501
         :type threshold: float

regula/facesdk/webclient/gen/model/search_request.py

@@ -94,7 +94,7 @@ def limit(self, limit):
     def threshold(self):
         """Gets the threshold of this SearchRequest.  # noqa: E501
 
-        The similarity distance threshold.  # noqa: E501
+        The similarity distance threshold, should be between 0.0 and 2.0, where 0.0 is for returning results for only the most similar persons and 2.0 is for all the persons, even the dissimilar ones. If not set, the default 1.0 value is used.  # noqa: E501
 
         :return: The threshold of this SearchRequest.  # noqa: E501
         :rtype: float
@@ -105,7 +105,7 @@ def threshold(self):
     def threshold(self, threshold):
         """Sets the threshold of this SearchRequest.
 
-        The similarity distance threshold.  # noqa: E501
+        The similarity distance threshold, should be between 0.0 and 2.0, where 0.0 is for returning results for only the most similar persons and 2.0 is for all the persons, even the dissimilar ones. If not set, the default 1.0 value is used.  # noqa: E501
 
         :param threshold: The threshold of this SearchRequest.  # noqa: E501
         :type threshold: float

setup.py

@@ -8,21 +8,20 @@
 
 setup(
     name="regula.facesdk.webclient",
-    version=os.getenv("PACKAGE_VERSION_TO_PUBLISH", "unknown"),
+    version=os.getenv("PACKAGE_VERSION_TO_PUBLISH", "5.1dev"),
     python_requires=">=3.5",
     description="Regula's FaceSDK web python client",
     long_description=long_description,
     long_description_content_type="text/markdown",
     author="Regula Forensics, Inc.",
     author_email="[email protected]",
     url="https://mobile.regulaforensics.com",
-    keywords=["face recognition", "facesdk", "regulaforensics", "regula",],
+    keywords=["face recognition", "facesdk", "regulaforensics", "regula"],
     install_requires=[
         "certifi==2022.6.15.1",
-        "future==0.18.2",
-        "python-dateutil==2.8.1",
-        "six==1.15.0",
-        "urllib3==1.26.5",
+        "six>=1.10",
+        "python-dateutil>=2.5.3",
+        "urllib3>=1.15.1"
     ],
     packages=find_packages(exclude=["test", "tests", "example"]),
     include_package_data=True,