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1. Download the latest **`.pbiviz`** package from our **[GitHub repo](https://github.com/specklesystems/speckle-powerbi-visuals/releases)**. 2. Open your report in Power BI Desktop or Power BI service. 3. Select the ellipsis from the visualizations pane. 4. Select the ”**Import a visual from a file" option** from the menu. 5. If you get a message cautioning you about importing custom files, select **`Import`**. 6. Navigate to the folder with the custom visual file (**`.pbiviz`**) and open it. 7. When the visual has successfully been imported, select **`OK`**. 8. The visual now appears as a new icon in the visualizations pane of the current report. Select it to create the visual on the report canvas.
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**3D Viewer Visual** takes the Power BI Connector to a whole new level. With it, you can bring your Speckle data to life by visualizing it in 3D right inside your Power BI reports.
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It is compatible with Power BI Desktop and can also be used in [PowerBI.com](http://powerbi.com/) for online visualizations.
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:::warning ⚠️WARNING The Power BI visual is still in the **early stages of development**. We welcome your feedback! :::
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The current version enables visualization, filtering, and coloring features, as well as some basic camera and color controls:
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- Load individual objects that were fetched with the Power BI Data Connector. - Highlight objects in the 3D viewer selected on a different table in the report. - Color objects based on a category or value - Show tooltip data defined by the user. - Views - Section Box # Object Tooltips
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When an object is selected in the Power BI viewer, a tooltip showing the object's properties and values will be displayed.
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The information displayed will be extracted from the **Tooltip Data** input. You should be able to add as many as necessary.
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:::tip 📌IMPORTANT These tooltip values are not bound to Speckle data, meaning you can merge other data sources into your query and display "non-speckle data" in your Speckle object's tooltips.
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This setting determines how objects are displayed when not in the input data table.
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These settings control the initial camera view, projection type, camera movement, and zoom behavior in the 3D Viewer Visual.
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- **Default View:** Controls the default view when the visual is active. The default value is Perspective. It can be set to Perspective, Top, Left, Right, Front, or Back. - **Projection:** Controls the projection of the camera in the visual. It can be set to "Perspective" or "Orthographic.” The default value is Perspective. - **Allow under model:** Controls whether the camera movement is allowed beneath the model or scene in the 3D Viewer Visual. The default value is False. - **Zoom extent on change: D**etermines whether the camera automatically adjusts its zoom level to fit the entire scene whenever a change occurs in the data or visualization. If unchecked, the camera stays where it was previously. The default value is True.
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These lighting settings provide you with fine-grained control over the illumination and shading of your 3D Viewer Visual.
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- **Intensity**: Controls the overall brightness or intensity of the lighting in the 3D Viewer Visual. Increasing the intensity can make the scene appear brighter, while decreasing it can create a more subdued or darker lighting effect. - **Elevation:** Determines the vertical angle at which the light source illuminates the 3D scene. - **Azimuth:** Defines the horizontal angle at which the light source illuminates the 3D scene. - **Indirect:** Controls the amount of indirect lighting or ambient illumination in the 3D Viewer Visual. - **Cast Shadows:** Enables or disables the rendering of shadows cast by objects in the 3D scene. - **Catch Shadows:** The Catch-Shadows setting determines whether objects in the 3D Viewer Visual can receive shadows cast by other objects. # Accessing Private Models
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Once you complete the installation and configuration steps, you can receive “public” models from Speckle. To receive your private models, you need to complete authentication. There are two authentication methods:
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You can now log in with **any account of any Speckle server**. Here’s how you do it:
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1. First, paste the URL of the private model you want to receive and click “OK”. 2. Select the ”Server URL” option in the credentials pop-up. In our case, it is “**app.speckle.systems**”. 3. Then press the ”**Sign in”** button. This will open a pop-up window prompting you to log into your account and allow the Power BI app to access your user data. This grants `read-only` access, as recommended by Power BI guidelines.
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Once the app has been granted access, Power BI will continue fetching the data.
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Another way of authenticating is with a “Personal Access Token”. Tokens are a form of authentication to grant users secure access to their projects and models. Here is how you do it:
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1. Go to your profile on your Speckle server. We’ll use Speckle’s free server: https://app.speckle.systems/profile 2. Under Developer Settings, Create a `New Token`. 3. Give it a descriptive name (such as Power BI Connector), check every option under Scopes, and click `Save`. 4. This will create a token for you. Make sure you copy it. It is the first and last time you’ll be able to see this token. Treat it as a _Password,_ and do not share it with anyone. 5. Go to **Power BI > Options and Settings > Data source settings.** 6. Go to **Global Permissions** and select your Speckle server. 7. After selecting a server, follow **Edit Permissions > Edit > Private Model.** Paste your *Token* into `Personal Access Token` input.
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That’s it! Now, Power BI will continue fetching your private data from the Speckle server.
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:::tip 📌IMPORTANT Delete existing servers if you have trouble seeing your server under Data sources. Return to the Speckle Connector and try to receive the same model/version. You’ll have the option to add it from there.
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After installing the Speckle Connector for Power BI, you must make a configuration change in the Power BI Options. Here’s how:
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1. Launch Power BI on your computer. 2. Click on "**File**" in the top-left corner of the application window, then select "**Options and settings**>**Options**". 3. In the “**Options”** window, click the “Security” tab on the left side. 4. Locate the "**Data Extensions**" section on the right-hand side. 5. By default, the "**Allow any extension to load without validation or warning**" setting is set to "Recommended". Switch it to "**Not Recommended**." 6. Click on "**OK**" to save the changes. 7. Restart Power BI for the changes to take effect. # Installation
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The Speckle Connector for Power BI is in beta development and requires manual installation. Follow the steps below to install the connector:
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1. Go to **[Speckle Power BI GitHub repository](https://github.com/specklesystems/speckle-powerbi)**. 2. Go to the "**Releases**" tab to find the released versions of the Speckle Connector. 3. Download the `Speckle.mez` file associated with the desired release. 4. Navigate to the following directory: **Documents > Power BI Desktop > Custom Connectors**. 5. Move the downloaded `Speckle.mez` file into the **Custom Connectors** folder.
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::: tip 📌IMPORTANT You can create a ”**Custom Connectors”** folder if it doesn't exist! Ensure it is created in your user's ”**Documents** > **Power BI Desktop”** directory.
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These two parts complement each other. Together, they create a synergy that empowers you to unlock your data, making your reports truly immersive and engaging.
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Speckle Connector for Power BI lets you easily get data from Speckle into your Power BI reports and visualizations. You can access and analyze data from those applications without hassle by connecting Power BI with Speckle's extensive connections with AEC applications (like Revit, Archicad, Navisworks, Grasshopper, etc.).
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::: warning ⚠️ WARNING Currently, Speckle Connector for Power BI supports **Power BI Desktop only**.
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Power BI Connector allows you to import your Speckle model, version, or Object data using the corresponding URL. The following data will be retrieved depending on which type of URL you use:
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- **Model URL** -> the most recent version on this model - **Version URL** -> this version - **Object URL** -> this object # Uninstallation
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If you need to uninstall the Power BI connector for some reason, follow these steps:
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1. Navigate to the directory: **Documents > Power BI Desktop > Custom Connectors**. 2. Delete the `Speckle.mez` file. # Using Power BI Connector
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If you’ve made it this far, chances are you’ve installed the Power BI connector and run through the configuration and authentication steps. If not, now is a good time to take a look.
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Once the connector is installed, you'll find two new options in the ”**Get Data”** interface under the ”**Other**” category:
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1. **`Speckle - Get Model by URL (beta)`** (Recommended option for beginners) 2. **`Speckle - Get Model by URL [Structured] (beta)`** (experimental).
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This is recommended if you are just starting with the Speckle Power BI connector.
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Using it is simple: paste **Model/Version URL** and click **OK**.
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The result of that query will be a table with the following columns:
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1. **Model URL**: This is the URL of your model. 2. **URL Type**: Type or category of the input URL. Its value can be model, version, or object. 3. **Version Object ID🆕:** The ID of the root object each individual object came from. For model/versions, it will be the referenced version object. For object URLs, it will match the object id on the URL. 4. **Object ID**: The ID of each speckle object in the table. This was extracted from the `data` records. 5. **speckle_type:** Speckle Type of each object. 6. **data**: A column of records containing the data belonging to each speckle object.
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Other columns may be present and can be user-generated but are irrelevant to this section.\*\*\*\*
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:::tip 📌IMPORTANT Model URL, Version Object ID and Object ID were added to facilitate loading data into the new Speckle Power BI 3D Viewer :::
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If you look at the values of the data column, you’d see it is full of Records. In Power BI, the Record data type represents a single row of data with one or more fields. It is similar to a JSON object in structure, where each field has a name and a corresponding value. This allows for representing complex data types within a single row.
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In the case of Speckle, where objects are essentially JSON objects with key-value pairs, these objects are converted into Record objects in Power BI when received. This conversion enables the representation of the complex data structures from Speckle as Records within Power BI.
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:::warning ⚠️WARNING This feature is experimental and may change in future releases.
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This new function allows for much faster interactions with your Speckle data, as it no longer requires you to pull every single object as a flat list. There's a small downside to this, as you will no longer get the data with the expected columns to connect it directly to the *Speckle Power BI Visual*. # Working with Records
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In Speckle, data is organized into objects called "[Speckle Objects](/user/concepts-advanced.html#the-base-object-🟦).” These objects represent design elements, such as geometry, parameters, materials, etc. When you receive data from Speckle, they are received in the “**Record**” data type. The "**data**" column in the retrieved dataset will contain the record objects representing the Speckle objects.
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Each record object contains information about a specific Speckle object, including its properties, geometry, and other relevant data. The record format allows for flexibility and extensibility, as it can accommodate various types of objects and their associated data.
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This page shows you some basic techniques to access your data from the record objects. But remember, accessing methods is not limited to what we show here. [Check Power BI documentation to learn more about it.](https://learn.microsoft.com/en-us/powerquery-m/record-field)
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If you want to extract the value of a specific field from the received objects, you can use the lookup operator “[ ]”. Here’s how you do it:
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1. Go to “**Add Column**” tab and click on “**Custom Column**”. A dialog box will appear, where you can enter a _name_ and a _formula_ for your new column. 2. Enter a name for your new column, we’ll name it _“category”_. 3. In the formula box, you can access the fields you want using the following expression
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``` [data][category] ```
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4. Click **OK**. A new column will be added to your table, containing the values of the “category” field from the records in the “data” column.
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Most of the time, your data will have nested records. Accessing the fields of nested records is not much harder. Let’s say you have a parameters record that stores all the parameters and you want to get the value of one parameter.
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``` data ├── id ├── category └── parameters ├── id ├── parameter_name_1 │ ├── id │ ├── name │ └── value └── parameter_name 2 ├── id ├── name └── value ```
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You will use this structure a lot especially if you are working with data coming from BIM applications like Revit, Archicad etc.
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Here is what you need to do if you want to expand the fields of the records in your “data” column into separate columns:
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1. Click on the **Expand icon** in the column header of your “**data**” column. It looks like two arrows pointing in opposite directions. 2. A dialog box will appear, showing you the **field names** of the records in your column. You can select which fields you want to expand or select all of them. 3. Click **OK**. The “**data**” column will be replaced by new columns, each containing the values of one field from the records.
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- It can **increase** the size of your data model if you expand a column that contains many columns or rows, which will be the case for Speckle data in most cases. Received Records will have all the properties of the source object (a lot of field names) and this can affect the memory consumption and performance of your report if you expand all. - It can **miss** some column names if you have different object types in your data. This is because Power BI will hard-code the column names that you select to expand, and if there is a new or different column name in the source, it will not be included in the expanded results.
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The `Advanced Settings` page allows you to customize the way Speckle behaves "per-project".
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<div style="text-align: center;"> <img class="rounded-dropshadow" src="./img-revit/advanced-settings.png" width=350 display=block> </div>
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This setting lets you specify which reference point should be used when sending or receiving data.
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By default, Speckle will only receive data from the current model, without including any elements from any *Linked Models* (if they exist). Check this option when you want to receive all the information (including Linked models).
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<img class="rounded-dropshadow" src="./img-revit/setting-fallback-directshape.png" width=350> Speckle allows to load any model to Revit as a DirectShape when only a mesh reference model containing no BIM data is needed.
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1. **Always:** No native objects are created; everything is created as direct shapes with categories and materials assigned. 2. **On Error** (Default): Revit Connector tries to bring all objects as native types but in case of an error falls back to DirectShape mesh. This result is then visually consistent model with its rendering in Speckle viewer. 3. **Never:** If you want to load all objects as native, choose the `Never` option.
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<aside> 💡 WARNING: Some objects might not be loaded, or the geometry might not be correct. Speckle’s aim is to support all types and workflows but while we get there, some inconsistencies can occur.
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By default, Revit objects imported by Speckle will be joined. Objects joined in Revit can have very strange behavior, so this setting lets you select one or more types of objects to disallow joins by default before receiving.\*\*\*\*
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This setting allows you to select the Mesh import method you'd like to use.
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1. **Default**: Speckle will convert any Meshes into Revit native meshes (DirectShapes), leading to them appearing with all their internal edges. This may not be desired depending on the geometry and density of the mesh. 2. **DXF**: To import meshes **without the inner edges**, you can select the `DXF Import` option. This will export the mesh into `DXF` format, and import it into your project. This way of exporting will also preserve colors and materials whenever possible. 3. **Family DXF**: The third option is similar to the second, but it will insert the resulting DXF into a new Family document, that will then be inserted into the project.
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By default, Speckle will attempt to match your incoming Speckle objects with native Revit objects. It does this by trying to match the `Category`, `Family`, and `Type` properties of the Speckle object. This works well if you are importing standardized objects such as structural sections.
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Suppose an object with a type "W12x19" is added to a Revit project. Speckle can easily recognize this object and match it to a type with the same name in the Wide Flange family, provided that family type is loaded in the project. If there isn't a family type loaded into Revit of the correct category and type , then Speckle will make it's best guess of which object type to match to.
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To avoid this, you can use the object type mapping setting.
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- **Never**: Speckle automatically handles all the mapping for you. - **Always**: Upon receiving a model version, you'll be presented with a table of incoming object types and the opportunity to assign a Revit type. - **For New Types: Upon r**eceiving a model for the first time, you will be presented with a table that displays all incoming types. You can then map these types to the corresponding types in the Revit application, similar to the previous option. However, if you receive a newer version of the same model for a second time, the mapping dialog will only appear if there are new incoming types that the user has not yet mapped. If the next version has the same object types as the first, the previous custom mapping will be used, and you won't need to remap incoming types.
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When you are in the mapping dialog and you want to import some object types, but you realize that you do not have those Revit types loaded into the project, you can click on the "Import Types" button. This will bring up the Import Family Types dialog, allowing you to select and import the necessary types.
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To begin, the program will prompt you to select one or multiple Revit family files using a file dialog. Once you have selected the files, you will be able to browse through all the available types and import the ones you need. If a toggle appears grayed out, it indicates that the type is already present in the project. --- title: FAQ ---
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Speckle has the capability to upload files for certain formats, but unfortunately, we cannot support the Revit file format (.rvt) due to its proprietary nature. Speckle is an open-source project and therefore you need to use our connectors to upload your data onto our platform.
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Revit Connector support materials and we are working on supporting textures in the near future. So when you publish your data to Speckle, Revit materials will be included too.
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Yes, you can. Under **Advanced Settings**, enable “**Send Linked Models**” option. Linked models will be included when sending your model to Speckle. Check [Linked Models](https://speckle.community) section.
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Yes. Geometry can be sent and received from Family environment in Revit with certain limitations. Refer to the [Support Table](https://speckle.community) for more information.
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Yes. Please refer to [Design Options](https://speckle.community) page for further details.
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6. **How do I install Revit Connector for all users?** Manager for Speckle installs connectors for Current user only. Please refer to [System Wide Installations](/user/installing.html#system-wide-installations) page, to learn about installing the Revit Connector for all users.
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You can uninstall Revit Connector either using Manager or from the Installed Apps dialog.
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1. Open **Manager**. 2. Select **Revit Connector**. 3. Click **Uninstall**.
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1. In the Windows search bar, search and select “**Add or Remove Programs**”. 2. Search for **Speckle for Revit.** 3. Click on the dots (…) next to it. 4. Select **Uninstall**. --- title: Features ---
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In this page, we’ll share how Revit Connector converts your Revit model into Speckle format and how it handles updating in Revit.
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When sending from Revit, Speckle takes care of converting the data to a Speckle-friendly format. If you're curious about how this data is being structured, please have a look at our **[Objects kit class definitions](https://github.com/specklesystems/speckle-sharp/tree/master/Objects/Objects/BuiltElements)**.
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