automatic import of python-google-cloud-profiler

3 files changed, 389 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
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+/google-cloud-profiler-4.0.0.tar.gz
diff --git a/python-google-cloud-profiler.spec b/python-google-cloud-profiler.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-google-cloud-profiler
+Version:	4.0.0
+Release:	1
+Summary:	Google Cloud Profiler Python Agent
+License:	Apache License, Version 2.0
+URL:		https://github.com/GoogleCloudPlatform/cloud-profiler-python
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/f5/b1/6a5f55bdcdc6d952268b91b4572b5ea31921f3e641cdbab464e6d68e5035/google-cloud-profiler-4.0.0.tar.gz
+BuildArch:	noarch
+
+
+%description
+# Google Cloud Python profiling agent
+
+Python profiling agent for
+[Google Cloud Profiler](https://cloud.google.com/profiler/).
+
+See
+[Google Cloud Profiler profiling Python code](https://cloud.google.com/profiler/docs/profiling-python)
+for detailed documentation.
+
+## Supported OS
+
+Linux. Profiling Python applications is supported for Linux kernels whose
+standard C library is implemented with `glibc` or with `musl`. For configuration
+information specific to Linux Alpine kernels, see
+[Running on Linux Alpine](https://cloud.google.com/profiler/docs/profiling-python#running_with_linux_alpine).
+
+## Supported Python Versions
+
+Python >= 3.6
+
+## Installation & usage
+
+1.  Install the profiler package using PyPI:
+
+    ```shell
+    pip3 install google-cloud-profiler
+    ```
+
+2.  Enable the profiler in your application:
+
+    ```python
+    import googlecloudprofiler
+
+    def main():
+        # Profiler initialization. It starts a daemon thread which continuously
+        # collects and uploads profiles. Best done as early as possible.
+        try:
+            googlecloudprofiler.start(
+                service='hello-profiler',
+                service_version='1.0.1',
+                # verbose is the logging level. 0-error, 1-warning, 2-info,
+                # 3-debug. It defaults to 0 (error) if not set.
+                verbose=3,
+                # project_id must be set if not running on GCP.
+                # project_id='my-project-id',
+            )
+        except (ValueError, NotImplementedError) as exc:
+            print(exc)  # Handle errors here
+    ```
+
+## Installation on Linux Alpine
+
+The Python profiling agent has a native component. The base Alpine image for
+Python does not have all dependencies required to build this native component
+installed. To build the Python profiling agent on Alpine, one must install the
+package `build-base`.
+
+To use the Python profiling agent on Alpine without installing additional
+dependencies on to the final Alpine image, one can use a two-stage build and
+compile the Python profiling agent in the first stage.
+
+Here is an example of a Docker image that uses a multi-stage build to compile
+and install the Python profiling agent:
+
+```
+FROM python:3.7-alpine as builder
+
+# Install build-base to allow for compilation of the profiling agent.
+RUN apk add --update --no-cache build-base
+
+# Compile the profiling agent, generating wheels for it.
+RUN pip3 wheel --wheel-dir=/tmp/wheels google-cloud-profiler
+
+
+FROM python:3.7-alpine
+
+# Copy over the directory containing wheels for the profiling agent.
+COPY --from=builder /tmp/wheels /tmp/wheels
+
+# Install the profiling agent.
+RUN pip3 install --no-index --find-links=/tmp/wheels google-cloud-profiler
+
+# Install any other required modules or dependencies, and copy an app which
+# enables the profiler as described in "Enable the profiler in your
+# application".
+COPY ./bench.py .
+
+# Run the application when the docker image is run, using either CMD (as is done
+# here) or ENTRYPOINT.
+CMD python3 -u bench.py
+```
+
+
+## Troubleshooting
+
+### Resource temporarily unavailable errors with Python
+
+If you see the following log entries after enabling the Profiler:
+
+```
+BlockingIOError: [Errno 11] Resource temporarily unavailable
+Exception ignored when trying to write to the signal wakeup fd
+```
+
+see https://cloud.google.com/profiler/docs/troubleshooting#python-blocking for
+the cause and the workaround.
+
+%package -n python3-google-cloud-profiler
+Summary:	Google Cloud Profiler Python Agent
+Provides:	python-google-cloud-profiler
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-google-cloud-profiler
+# Google Cloud Python profiling agent
+
+Python profiling agent for
+[Google Cloud Profiler](https://cloud.google.com/profiler/).
+
+See
+[Google Cloud Profiler profiling Python code](https://cloud.google.com/profiler/docs/profiling-python)
+for detailed documentation.
+
+## Supported OS
+
+Linux. Profiling Python applications is supported for Linux kernels whose
+standard C library is implemented with `glibc` or with `musl`. For configuration
+information specific to Linux Alpine kernels, see
+[Running on Linux Alpine](https://cloud.google.com/profiler/docs/profiling-python#running_with_linux_alpine).
+
+## Supported Python Versions
+
+Python >= 3.6
+
+## Installation & usage
+
+1.  Install the profiler package using PyPI:
+
+    ```shell
+    pip3 install google-cloud-profiler
+    ```
+
+2.  Enable the profiler in your application:
+
+    ```python
+    import googlecloudprofiler
+
+    def main():
+        # Profiler initialization. It starts a daemon thread which continuously
+        # collects and uploads profiles. Best done as early as possible.
+        try:
+            googlecloudprofiler.start(
+                service='hello-profiler',
+                service_version='1.0.1',
+                # verbose is the logging level. 0-error, 1-warning, 2-info,
+                # 3-debug. It defaults to 0 (error) if not set.
+                verbose=3,
+                # project_id must be set if not running on GCP.
+                # project_id='my-project-id',
+            )
+        except (ValueError, NotImplementedError) as exc:
+            print(exc)  # Handle errors here
+    ```
+
+## Installation on Linux Alpine
+
+The Python profiling agent has a native component. The base Alpine image for
+Python does not have all dependencies required to build this native component
+installed. To build the Python profiling agent on Alpine, one must install the
+package `build-base`.
+
+To use the Python profiling agent on Alpine without installing additional
+dependencies on to the final Alpine image, one can use a two-stage build and
+compile the Python profiling agent in the first stage.
+
+Here is an example of a Docker image that uses a multi-stage build to compile
+and install the Python profiling agent:
+
+```
+FROM python:3.7-alpine as builder
+
+# Install build-base to allow for compilation of the profiling agent.
+RUN apk add --update --no-cache build-base
+
+# Compile the profiling agent, generating wheels for it.
+RUN pip3 wheel --wheel-dir=/tmp/wheels google-cloud-profiler
+
+
+FROM python:3.7-alpine
+
+# Copy over the directory containing wheels for the profiling agent.
+COPY --from=builder /tmp/wheels /tmp/wheels
+
+# Install the profiling agent.
+RUN pip3 install --no-index --find-links=/tmp/wheels google-cloud-profiler
+
+# Install any other required modules or dependencies, and copy an app which
+# enables the profiler as described in "Enable the profiler in your
+# application".
+COPY ./bench.py .
+
+# Run the application when the docker image is run, using either CMD (as is done
+# here) or ENTRYPOINT.
+CMD python3 -u bench.py
+```
+
+
+## Troubleshooting
+
+### Resource temporarily unavailable errors with Python
+
+If you see the following log entries after enabling the Profiler:
+
+```
+BlockingIOError: [Errno 11] Resource temporarily unavailable
+Exception ignored when trying to write to the signal wakeup fd
+```
+
+see https://cloud.google.com/profiler/docs/troubleshooting#python-blocking for
+the cause and the workaround.
+
+%package help
+Summary:	Development documents and examples for google-cloud-profiler
+Provides:	python3-google-cloud-profiler-doc
+%description help
+# Google Cloud Python profiling agent
+
+Python profiling agent for
+[Google Cloud Profiler](https://cloud.google.com/profiler/).
+
+See
+[Google Cloud Profiler profiling Python code](https://cloud.google.com/profiler/docs/profiling-python)
+for detailed documentation.
+
+## Supported OS
+
+Linux. Profiling Python applications is supported for Linux kernels whose
+standard C library is implemented with `glibc` or with `musl`. For configuration
+information specific to Linux Alpine kernels, see
+[Running on Linux Alpine](https://cloud.google.com/profiler/docs/profiling-python#running_with_linux_alpine).
+
+## Supported Python Versions
+
+Python >= 3.6
+
+## Installation & usage
+
+1.  Install the profiler package using PyPI:
+
+    ```shell
+    pip3 install google-cloud-profiler
+    ```
+
+2.  Enable the profiler in your application:
+
+    ```python
+    import googlecloudprofiler
+
+    def main():
+        # Profiler initialization. It starts a daemon thread which continuously
+        # collects and uploads profiles. Best done as early as possible.
+        try:
+            googlecloudprofiler.start(
+                service='hello-profiler',
+                service_version='1.0.1',
+                # verbose is the logging level. 0-error, 1-warning, 2-info,
+                # 3-debug. It defaults to 0 (error) if not set.
+                verbose=3,
+                # project_id must be set if not running on GCP.
+                # project_id='my-project-id',
+            )
+        except (ValueError, NotImplementedError) as exc:
+            print(exc)  # Handle errors here
+    ```
+
+## Installation on Linux Alpine
+
+The Python profiling agent has a native component. The base Alpine image for
+Python does not have all dependencies required to build this native component
+installed. To build the Python profiling agent on Alpine, one must install the
+package `build-base`.
+
+To use the Python profiling agent on Alpine without installing additional
+dependencies on to the final Alpine image, one can use a two-stage build and
+compile the Python profiling agent in the first stage.
+
+Here is an example of a Docker image that uses a multi-stage build to compile
+and install the Python profiling agent:
+
+```
+FROM python:3.7-alpine as builder
+
+# Install build-base to allow for compilation of the profiling agent.
+RUN apk add --update --no-cache build-base
+
+# Compile the profiling agent, generating wheels for it.
+RUN pip3 wheel --wheel-dir=/tmp/wheels google-cloud-profiler
+
+
+FROM python:3.7-alpine
+
+# Copy over the directory containing wheels for the profiling agent.
+COPY --from=builder /tmp/wheels /tmp/wheels
+
+# Install the profiling agent.
+RUN pip3 install --no-index --find-links=/tmp/wheels google-cloud-profiler
+
+# Install any other required modules or dependencies, and copy an app which
+# enables the profiler as described in "Enable the profiler in your
+# application".
+COPY ./bench.py .
+
+# Run the application when the docker image is run, using either CMD (as is done
+# here) or ENTRYPOINT.
+CMD python3 -u bench.py
+```
+
+
+## Troubleshooting
+
+### Resource temporarily unavailable errors with Python
+
+If you see the following log entries after enabling the Profiler:
+
+```
+BlockingIOError: [Errno 11] Resource temporarily unavailable
+Exception ignored when trying to write to the signal wakeup fd
+```
+
+see https://cloud.google.com/profiler/docs/troubleshooting#python-blocking for
+the cause and the workaround.
+
+%prep
+%autosetup -n google-cloud-profiler-4.0.0
+
+%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-google-cloud-profiler -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 4.0.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..4cbef85
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+fe22ee05fa1908cae2f455d89a33c318  google-cloud-profiler-4.0.0.tar.gz