automatic import of python-jinaopeneuler20.03

3 files changed, 24 insertions, 14 deletions

diff --git a/.gitignore b/.gitignore
index c4eb844..5fd5f1f 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1 +1,2 @@
 /jina-3.14.1.tar.gz
+/jina-3.15.0.tar.gz
diff --git a/python-jina.spec b/python-jina.spec
index 8a007a6..a26271e 100644
--- a/python-jina.spec
+++ b/python-jina.spec
@@ -1,11 +1,11 @@
 %global _empty_manifest_terminate_build 0
 Name:		python-jina
-Version:	3.14.1
+Version:	3.15.0
 Release:	1
 Summary:	Build multimodal AI services via cloud native technologies · Neural Search · Generative AI · MLOps
 License:	Apache 2.0
 URL:		https://github.com/jina-ai/jina/
-Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/d6/93/909b20eeddce3941d76a06c357e1d9d7386159e9420f04750d023116ff48/jina-3.14.1.tar.gz
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/68/fd/559d5809832dfc49615aaf5626f1ff28b1de54453a72e2056ad9f702203a/jina-3.15.0.tar.gz
 BuildArch:	noarch
 
 
@@ -13,14 +13,14 @@ BuildArch:	noarch
 <p align="center">
 <a href="https://docs.jina.ai"><img src="https://github.com/jina-ai/jina/blob/master/.github/readme/streamline-banner.png?raw=true" alt="Jina: Streamline AI & ML Product Delivery" width="100%"></a>
 </p>
-### Build AI & ML Services
+### Build AI Services
 <!-- start build-ai-services -->
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/jina-ai/jina/blob/master/.github/getting-started/notebook.ipynb)
 Let's build a fast, reliable and scalable gRPC-based AI service. In Jina we call this an **[Executor](https://docs.jina.ai/concepts/executor/)**. Our simple Executor will use Facebook's mBART-50 model to translate French to English. We'll then use a **Deployment** to serve it.
 > **Note**
 > A Deployment serves just one Executor. To combine multiple Executors into a pipeline and serve that, use a [Flow](#build-a-pipeline).
 > **Note**
-> Run the [code in Colab](https://colab.research.google.com/assets/colab-badge.svg) to install all dependencies.
+> Run the [code in Colab](https://colab.research.google.com/github/jina-ai/jina/blob/master/.github/getting-started/notebook.ipynb#scrollTo=0l-lkmz4H-jW) to install all dependencies.
 Let's implement the service's logic:
 <table>
 <tr>
@@ -67,6 +67,7 @@ Then we deploy it with either the Python API or YAML:
 <td>
 ```python
 from jina import Deployment
+from translate_executor import Translator
 with Deployment(uses=Translator, timeout_ready=-1) as dep:
     dep.block()
 ```
@@ -109,9 +110,11 @@ print(response[0].text)
 an astronaut is walking in a park
 ```
 <!-- end build-ai-services -->
+> **Note**
+> In a notebook, one cannot use `deployment.block()` and then make requests to the client. Please refer to the colab link above for reproducible Jupyter Notebook code snippets.
 ### Build a pipeline
 <!-- start build-pipelines -->
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/jina-ai/jina/blob/docs-readme-changes/.github/getting-started/notebook.ipynb)
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/jina-ai/jina/blob/master/.github/getting-started/notebook.ipynb#scrollTo=YfNm1nScH30U)
 Sometimes you want to chain microservices together into a pipeline. That's where a [Flow](https://docs.jina.ai/concepts/flow/) comes in.
 A Flow is a [DAG](https://de.wikipedia.org/wiki/DAG) pipeline, composed of a set of steps, It orchestrates a set of [Executors](https://docs.jina.ai/concepts/executor/) and a [Gateway](https://docs.jina.ai/concepts/gateway/) to offer an end-to-end service.
 > **Note**
@@ -199,14 +202,14 @@ BuildRequires:	python3-pip
 <p align="center">
 <a href="https://docs.jina.ai"><img src="https://github.com/jina-ai/jina/blob/master/.github/readme/streamline-banner.png?raw=true" alt="Jina: Streamline AI & ML Product Delivery" width="100%"></a>
 </p>
-### Build AI & ML Services
+### Build AI Services
 <!-- start build-ai-services -->
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/jina-ai/jina/blob/master/.github/getting-started/notebook.ipynb)
 Let's build a fast, reliable and scalable gRPC-based AI service. In Jina we call this an **[Executor](https://docs.jina.ai/concepts/executor/)**. Our simple Executor will use Facebook's mBART-50 model to translate French to English. We'll then use a **Deployment** to serve it.
 > **Note**
 > A Deployment serves just one Executor. To combine multiple Executors into a pipeline and serve that, use a [Flow](#build-a-pipeline).
 > **Note**
-> Run the [code in Colab](https://colab.research.google.com/assets/colab-badge.svg) to install all dependencies.
+> Run the [code in Colab](https://colab.research.google.com/github/jina-ai/jina/blob/master/.github/getting-started/notebook.ipynb#scrollTo=0l-lkmz4H-jW) to install all dependencies.
 Let's implement the service's logic:
 <table>
 <tr>
@@ -253,6 +256,7 @@ Then we deploy it with either the Python API or YAML:
 <td>
 ```python
 from jina import Deployment
+from translate_executor import Translator
 with Deployment(uses=Translator, timeout_ready=-1) as dep:
     dep.block()
 ```
@@ -295,9 +299,11 @@ print(response[0].text)
 an astronaut is walking in a park
 ```
 <!-- end build-ai-services -->
+> **Note**
+> In a notebook, one cannot use `deployment.block()` and then make requests to the client. Please refer to the colab link above for reproducible Jupyter Notebook code snippets.
 ### Build a pipeline
 <!-- start build-pipelines -->
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/jina-ai/jina/blob/docs-readme-changes/.github/getting-started/notebook.ipynb)
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/jina-ai/jina/blob/master/.github/getting-started/notebook.ipynb#scrollTo=YfNm1nScH30U)
 Sometimes you want to chain microservices together into a pipeline. That's where a [Flow](https://docs.jina.ai/concepts/flow/) comes in.
 A Flow is a [DAG](https://de.wikipedia.org/wiki/DAG) pipeline, composed of a set of steps, It orchestrates a set of [Executors](https://docs.jina.ai/concepts/executor/) and a [Gateway](https://docs.jina.ai/concepts/gateway/) to offer an end-to-end service.
 > **Note**
@@ -382,14 +388,14 @@ Provides:	python3-jina-doc
 <p align="center">
 <a href="https://docs.jina.ai"><img src="https://github.com/jina-ai/jina/blob/master/.github/readme/streamline-banner.png?raw=true" alt="Jina: Streamline AI & ML Product Delivery" width="100%"></a>
 </p>
-### Build AI & ML Services
+### Build AI Services
 <!-- start build-ai-services -->
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/jina-ai/jina/blob/master/.github/getting-started/notebook.ipynb)
 Let's build a fast, reliable and scalable gRPC-based AI service. In Jina we call this an **[Executor](https://docs.jina.ai/concepts/executor/)**. Our simple Executor will use Facebook's mBART-50 model to translate French to English. We'll then use a **Deployment** to serve it.
 > **Note**
 > A Deployment serves just one Executor. To combine multiple Executors into a pipeline and serve that, use a [Flow](#build-a-pipeline).
 > **Note**
-> Run the [code in Colab](https://colab.research.google.com/assets/colab-badge.svg) to install all dependencies.
+> Run the [code in Colab](https://colab.research.google.com/github/jina-ai/jina/blob/master/.github/getting-started/notebook.ipynb#scrollTo=0l-lkmz4H-jW) to install all dependencies.
 Let's implement the service's logic:
 <table>
 <tr>
@@ -436,6 +442,7 @@ Then we deploy it with either the Python API or YAML:
 <td>
 ```python
 from jina import Deployment
+from translate_executor import Translator
 with Deployment(uses=Translator, timeout_ready=-1) as dep:
     dep.block()
 ```
@@ -478,9 +485,11 @@ print(response[0].text)
 an astronaut is walking in a park
 ```
 <!-- end build-ai-services -->
+> **Note**
+> In a notebook, one cannot use `deployment.block()` and then make requests to the client. Please refer to the colab link above for reproducible Jupyter Notebook code snippets.
 ### Build a pipeline
 <!-- start build-pipelines -->
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/jina-ai/jina/blob/docs-readme-changes/.github/getting-started/notebook.ipynb)
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/jina-ai/jina/blob/master/.github/getting-started/notebook.ipynb#scrollTo=YfNm1nScH30U)
 Sometimes you want to chain microservices together into a pipeline. That's where a [Flow](https://docs.jina.ai/concepts/flow/) comes in.
 A Flow is a [DAG](https://de.wikipedia.org/wiki/DAG) pipeline, composed of a set of steps, It orchestrates a set of [Executors](https://docs.jina.ai/concepts/executor/) and a [Gateway](https://docs.jina.ai/concepts/gateway/) to offer an end-to-end service.
 > **Note**
@@ -559,7 +568,7 @@ Read more about [deploying Flows to JCloud](https://docs.jina.ai/concepts/jcloud
 <!-- end build-pipelines -->
 
 %prep
-%autosetup -n jina-3.14.1
+%autosetup -n jina-3.15.0
 
 %build
 %py3_build
@@ -599,5 +608,5 @@ mv %{buildroot}/doclist.lst .
 %{_docdir}/*
 
 %changelog
-* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 3.14.1-1
+* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 3.15.0-1
 - Package Spec generated
diff --git a/sources b/sources
index 5c83cb1..258ba29 100644
--- a/sources
+++ b/sources
@@ -1 +1 @@
-4b6a33345d4c258924fcb6cebe45642a  jina-3.14.1.tar.gz
+0d50ec365278099aa914c711fa5b7456  jina-3.15.0.tar.gz