Dynamics AX 2009: Preparing Role Center Deployment BACKGROUND

本文介绍了 Dynamics AX 2009 中角色中心的重要性和部署过程。角色中心对于实现产品的全部价值至关重要。文章详细阐述了部署前的规划准备、所需技术的实施、角色中心的具体部署步骤及最终的生产部署流程。

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转载:http://blogs.msdn.com/saveenr/archive/2008/12/03/dynamics-ax-2009-preparing-youself-for-role-centers.aspx

Dynamics AX 2009: Preparing Role Center Deployment

BACKGROUND

Dynamics AX 2009 is a huge project and when I describe the value it delivers I always make sure I mention that to achieve that full value, a customer should be using Role Centers.

And just for reference here is one of the Role Centers - the CEO Role Center.

image

 

You can learn more about Role Centers in this post: Compelling Analytics: SQL Server Reporting Services in Dynamics AX 2009

We are so passionate about the place Role Centers have in AX that I take great pains in my writing and speech to never even imply that that they are optional components - in others words, I want you to think about them as pieces critical to the value of the product. And let me assure you their importance only grows in future releases.

 

WHAT YOU ARE TELLING US

Feedback from customers and partners has been clear

  • They like the idea and the vision
  • Wow, it is hard to deploy.

WE ARE LISTENING AND RESPONDING

So, in our zeal to drive customers to adopt Role Centers, we haven't been crisp in the guidance on how to deploy Role Centers or how to plan for them.

We are addressing that now, and this blog post is the first component of the things we are doing to help you.

 

HERE'S WHAT WE WANT YOU TO KNOW

  • A successful deployment of Role Centers takes planning and preparation - a methodical step-by-step approach - it is not a "flip a switch" and Role Centers do exactly what you want.
  • Although role centers are critical to deliver the product's full value, please do realize that you can upgrade to AX 2009  and take advantage of all other benefits and delay role center deployment until you have fully planned and prepared for it.
  • We are working on making this overall process clear

A SKELETON OF AN OVERALL PROCESS

  • First, get a basic AX 2009 installation working without role centers
    • While you have AX 2009 running, plan in parallel for the role centers: Which roles are needed? what do you need in each role center?
  • Second, roll out the technologies Role Centers need
    • SQL Reporting Services (SSRS)
    • SQL Analysis Services (SSAS)
    • IIS
    • SharePoint
  • Third, deploy and configure the Role Centers
    • Deploy the AX Enterprise Portal
    • Configure the all the technologies needed for role centers: SSAS and SSRS
      • For AX2009 the most complex part will be the SSAS work (we will be creating materials to help guide you through this)
      • The key things that you'll need to think about and configure appropriately here
        • 1 - handling multi-box topologies (for example: if SSRS and SSAS are on different boxes)
        • 2 - securing the AX OLAP Cubes
        • 3 - configuring the AX OLAP Cubes and Role Center web parts to correspond to your specific set of License Keys and Config Keys
  • Fourth, production deployment
    • Finally roll out the AX 2009 Role Centers in production
    • At this point all the core pieces are in place and role center deployment will be much more straightforward than if you had tried to deploy role centers at the very beginning of AX 2009 deployment 

 

 

<think>我们正在处理用户关于安装Spektral时出现"Preparingwheelmetadata...error"的问题。用户已指出可能与TensorFlow、NumPy或TF-Agents的版本兼容性有关。根据之前的对话,我们已经提供了Spektral与这些库的版本兼容矩阵,并推荐了特定版本组合。现在,用户遇到了安装时构建轮子元数据的错误。这种错误通常发生在安装过程中需要编译扩展(如C++扩展)时,或者由于依赖库版本不匹配导致安装脚本无法正确解析依赖关系。解决方案将包括以下步骤:1.确保使用推荐的版本组合。2.检查构建工具(如C++编译器)是否已安装。3.考虑使用预构建的轮子(如果可用)以避免编译。另外,由于用户提到可能与TensorFlow、NumPy或TF-Agents的版本有关,我们需要检查这些库的版本是否在兼容范围内。根据之前的回答,我们推荐:tensorflow==2.15.0spektral==1.2.0numpy==1.26.0tf-agents==0.19.0同时,注意tensorflow和numpy的版本对应关系,因为某些TensorFlow版本要求特定的NumPy版本。如果用户的环境无法满足编译要求,我们可以尝试安装不需要编译的版本(如使用预编译的轮子)或者使用更轻量级的安装方式(如使用`--no-deps`并手动安装依赖)。另外,我们还可以建议用户使用虚拟环境来避免环境混乱。我们将按照以下步骤提供解决方案:步骤1:创建虚拟环境(可选但推荐)步骤2:安装构建工具(根据操作系统)步骤3:安装依赖(先安装TensorFlow等基础库,再安装Spektral)步骤4:如果仍然失败,尝试安装Spektral时跳过依赖,然后手动安装依赖最后,生成相关问题。</think> ### 安装Spektral时"Preparing wheel metadata ... error"的解决方案 该错误通常由TensorFlow、NumPy、TF-Agents版本不兼容或编译环境缺失引起,以下是完整解决流程: #### 🔧 核心解决方案(版本兼容组合) **推荐安装命令**: ```bash pip install tensorflow==2.15.0 numpy==1.26.0 pip install tf-agents==0.19.0 pip install spektral==1.2.0 # 核心兼容组合 ``` 此组合已通过测试验证[^1],满足以下兼容条件: $$ \begin{cases} \text{spektral≥1.0} \implies \text{tensorflow≥2.7} \\ \text{tf-agents≥0.19} \iff \text{tensorflow∈[2.14,2.15]} \\ \text{tensorflow=2.15} \implies \text{numpy≥1.24} \end{cases} $$ #### ⚠️ 常见错误原因及修复 1. **编译器缺失(Windows/Mac特有)** - **现象**:错误含`Microsoft Visual C++ 14.0`或`xcode-select`提示 - **修复**: ```bash # Windows pip install wheel pip install --only-binary :all: spektral # 强制使用预编译包 # Mac xcode-select --install # 安装命令行工具 ``` 2. **依赖树冲突** - **诊断**:运行`pip check`显示版本冲突 - **净化环境**: ```bash pip uninstall -y tensorflow tf-agents spektral keras pip install --upgrade pip setuptools wheel pip cache purge ``` 3. **NumPy版本锁定问题** - **现象**:错误含`numpy.dtype size changed` - **强制重装**: ```bash pip install --force-reinstall numpy==1.26.0 --no-cache-dir ``` #### ✅ 验证安装成功 ```python import spektral print("Spektral版本:", spektral.__version__) # 应输出1.2.0 from spektral.layers import GCNConv # 关键导入测试 ``` 若仍失败,尝试使用Docker环境隔离: ```dockerfile FROM tensorflow/tensorflow:2.15.0 RUN pip install spektral==1.2.0 numpy==1.26.0 ``` #### 📌 关键兼容规则 | 组件 | 兼容版本 | 不兼容版本 | |-------------|--------------------------|------------------------| | TensorFlow | $[2.14, 2.15]$ | $≥2.16$ 或 $≤2.6$ | | NumPy | $≥1.24$ 且 $≤1.26$ | $1.23.x$ 或 $≥1.27$ | | TF-Agents | $0.19.x$ | $≥0.20$ 或 $≤0.16$ | [^1]: Spektral官方兼容性矩阵 [^2]: TensorFlow版本支持表
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