Request

Response

    Read Properties - /scan

    The POST scan endpoint is used to retrieve property data from the backend database. The API is designed to be very efficient and to match the access pattern of large models with many elements. All read-access for property data is handled through this single endpoint, but options in the request payload allow for a variety of queries.

    The first thing to understand is the structure of the Tandem data model. Imagine it as a sparse 3D Matrix, where rows are elements in the model, columns are attributes, and the third dimension is the history of values that property has had over time.

    The columns (attributes) are grouped into families, each of which is depicted by a hard-coded character specification (shown below).

    const ColumnFamilies = {
    
        Status: "s",
        Attributes: "p",
        AttributeHashes: "h",
        AccessControl: "c",
    
        LMV: "0",
        Standard: "n",      // "common" properties for all elements
        Refs: "l",          // references to other elements (e.g., Type, Level, Space)
        Xrefs: "x",         // references to elements in other models
        Source: "r",        // properties that come from the source model files (e.g., Revit or IFC)
        DtProperties: "z",  // user-defined parameters
        Tags: "t",
        Systems: "m",
    
        UserInfo: "u",
        ChangeInfo: "c",
    
        Virtual: "v"
    };
    
    Show More

    Some column names within each family are hardcoded in the Tandem schema. For instance, n:n is the well-qualified name for the “Common” attribute “Name”. The following are the internal definitions for the built-in column names:

    const ColumnNames = {
            // LMV-isms
        BoundingBox: "0",       //family: LMV, data table
        Fragment: "1",          //family: LMV, data table
        LmvModelRoot: "lmv",    //family: LMV, data table
        AecModelData: "aec",    //family: LMV, data table
    
        DocumentId: "docid",    //family: Standard, meta table, the GUID of the Revit document originally used to populate this model
        ForgeUrn: "urn",        //family: Standard, meta table, the URN of the source Derivative Service model used to populate our model
        Version: "v",           //family: Status. Schema version used for this Digital Twin,
    
        Deleted: "e",           //family: Status
        ODeleted: "!e",         //family: Status, override
    
        ElementFlags: "a",      //family: Standard
        UniformatClass: "u",    //family: Standard, data table
        OUniformatClass: "!u",  //family: Standard, data table, override
        Classification: "v",    //family: Standard, data table (value) + family Status, meta table (scheme)
        OClassification: "!v",  //family: Standard, data table, override
        CategoryId: "c",        //family: Standard
        FamilyPath: "f",        //family: Standard, Family Type elements only.
        Name: "n",              //family: Standard
        OName: "!n",            //family: Standard, name override
        SystemClass: "b",       //family: Standard, data table, Revit System Classification as bitmask
        OSystemClass: "!b",     //family: Standard, data table, Revit System Classification as bitmask, override
        Elevation: "el",        //family: Standard, data table, Level elevation in model display units (as given by Revit)
        OElevation: "!el",
        CategoryName: "vc",     //family: Virtual
        Tolerance: "tol",       // DEPRECATED. family: Standard, data table, MEPSystem mapping tolerance value
        Config: "cfg",          //family: Standard, data table. Element configuration (MEPSystems)
        State: "s",             //family: Status, data table, MEPSystem states (isDirty)
    
        Parent: "p",            //family: Refs
        FamilyType: "t",        //family: Refs
        SubFamily: "s",         //family: Refs
        LmvDbId: "d",           //family: Refs
        Level: "l",             //family: Refs
        OLevel: "!l",           //family: Refs, override
        TopLevel: "m",          //family: Refs, data table
        Rooms: "r",             //family: Refs, data table
        Elements: "e",          //family: Xrefs, data table. Holds an information about which elements are linked to the current element
    
        UserID: "i",            //family: UserInfo
        ClientID: "c",          //family: UserInfo
        UserName: "n",          //family: UserInfo
        ChangeType: "t",        //family: ChangeInfo
        ChangeDesc: "d",        //family: ChangeInfo
    };
    
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    Some column names are dynamically generated, as is the case when a Tandem user creates and applies Parameters to an element via Classification. Any column that begins with the prefix z is user-defined. See Qualified Properties for information about how to look up the internal property identifier.

    Let’s suppose you want to retrieve all properties associated with a given element, like in this screenshot from Tandem after selecting the Wall object:

    ../../../../_images/scan_01.png

    If all properties are desired in the request, you would include something like the following:

    {
        "families": [
            "n",
            "l",
            "x",
            "r",
            "z"
        ],
        "includeHistory": false,
        "keys": [
            "ricOExIyRIyTke1_49OlKgAD-WQ"
        ]
    }
    
    Show More

    In this request payload, we have specified that we want all the properties available that would normally show up in the Tandem UI. In the screenshot above, there are three highighted properties that all come from different column families.

    NOTE: “family” in this context does NOT refer to a Revit Family. This family is a database term originating from NoSQL databases that denotes how the database is structured in groups of properties.

    The response format for /scan is an array of “things”. The first element is always a version, representing the format used (currently it is always v1). The array will have a return value for each corresponding key that was specified. If the includeHistory flag was true, each property returned may have multiple values with a timestamp.

    The response from this call is below. The highlighted lines match the properties that are circled in the screenshot above:

      [
          "v1",
          {
              "k": "ricOExIyRIyTke1_49OlKgAD-WQ",
              "n:a": [
                  0
              ],
              "n:c": [
                  11
              ],
              "n:n": [
                  "Basic Wall"
              ],
              "n:u": [
                  "B2010156"
              ],
              "n:!v": [
                  "EF_25_10"
              ],
              "n:!n": [
                  "Test Wall"
              ],
              "r:-gE": [
                  0
              ],
              "r:1AE": [
                  0
              ],
              "r:1AM": [
                  4145.164591038102
              ],
              "r:3gE": [
                  0
              ],
              "r:3wY": [
                  "BLDG 4 - EastWall - Ground to Roof"
              ],
              "r:6AI": [
                  "Revit Walls"
              ],
              "r:7gI": [
                  "Bearing"
              ],
              "r:7gQ": [
                  ""
              ],
              "r:9gI": [
                  0
              ],
              "r:9wY": [
                  "Up to level: T.O. ROOF BLDG 4"
              ],
              "r:PA": [
                  "Finish Face: Exterior"
              ],
              "r:UA": [
                  "None"
              ],
              "r:Zw": [
                  "260452"
              ],
              "r:_gI": [
                  -2000011
              ],
              "r:eg": [
                  ""
              ],
              "r:iQY": [
                  "Rebar Cover 1 <0' - 1\">"
              ],
              "r:kgI": [
                  0
              ],
              "r:lgY": [
                  "Rebar Cover 1 <0' - 1\">"
              ],
              "r:nQU": [
                  ""
              ],
              "r:ngI": [
                  1
              ],
              "r:owI": [
                  "Vertical"
              ],
              "r:qwM": [
                  1
              ],
              "r:sAM": [
                  "Rebar Cover 1 <0' - 1\">"
              ],
              "r:sAU": [
                  3454.3038258651127
              ],
              "r:sgE": [
                  80.31693606751301
              ],
              "r:tQE": [
                  0
              ],
              "r:tQQ": [
                  "All-Ground Level"
              ],
              "r:twE": [
                  0
              ],
              "r:vAQ": [
                  ""
              ],
              "r:xQE": [
                  1
              ],
              "r:xgQ": [
                  51.583333333333336
              ],
              "r:yQU": [
                  "New Construction"
              ],
              "z:5Ac": [
                  "value 9876"
              ],
              "z:6gc": [
                  "Test Value 1"
              ],
              "z:4Qc": [
                  12312
              ],
              "z:3wc": [
                  "New DEV TEST"
              ],
              "l:l": [
                  "kzxKBpO4EdOA-ADAT478MgAAAB4"
              ],
              "l:m": [
                  "KEecOwAQRgC44ntF5eaV1QACU-Y"
              ],
              "l:t": [
                  "eSelem67SMmRIHH6JgautgAD7RM"
              ],
              "l:!l": [
                  "8KBjb_ZrSO6bBWAxWYViCgAKpgk"
              ]
          }
      ]
    
    Show More

    Notice that there is a property returned for both n:n and n:!n. The majority of properties that come in from the source file (Revit, IFC, …) are read-only. However, there are a small number that allow an override that the user can set using the UI, or you can set programmatically. These properties are listed in the Column Names enumeration above and are indicated with a ! prefix.

    If you also want the Type properties, you have to also include the keys for the Type object of that particular wall (the Wall Family in Revit terms).

    If we wanted ONLY the user-defined properties on the given element, we would just include the z family, as in the following example:

    {
        "families": [
            "z"
        ],
        "includeHistory": false,
        "keys": [
            "ricOExIyRIyTke1_49OlKgAD-WQ"
        ]
    }
    
    Show More

    Here, you will see that we get a smaller set of data in response, restricted to only the user-defined properties:

    [
        "v1",
        {
            "k": "ricOExIyRIyTke1_49OlKgAD-WQ",
            "z:5Ac": [
                "value 9876"
            ],
            "z:6gc": [
                "Test Value 1"
            ],
            "z:4Qc": [
                12312
            ],
            "z:3wc": [
                "New DEV TEST"
            ]
        }
    ]
    
    Show More

    If we change the includeHistory flag to true, you will see the response changes to include multiple values for each property, each one with a timestamp to indicate when the change was made.

    [
        "v1",
        {
            "k": "ricOExIyRIyTke1_49OlKgAD-WQ",
            "z:5Ac": [
                "value 9876",
                1674160465908,
                "value 1234",
                1674159089299,
                "MaxAsset_TBD",
                1674158373580
            ],
            "z:6gc": [
                "Test Value 1",
                1691516985971,
                "New Duplicate Value 11112222111",
                1688952724180,
                "New Duplicate Value 1111222211",
                1688952710548,
                "New Duplicate Value 111122221",
                1688952487215,
                "New Duplicate Value 11112222",
                1688751452438,
                "New Duplicate Value 1111",
                1680707416889,
                "Test value",
                1680628011953
            ],
            "z:4Qc": [
                12312,
                1690764553011,
                12344,
                1690764314690,
                null,
                1688966718853
            ],
            "z:3wc": [
                "New DEV TEST",
                1690531615945,
                "New Duplicate Value DEV TEST",
                1690351866645
            ]
        }
    ]
    
    Show More

    Now let’s suppose we only want to retrieve a SINGLE user-defined property. If we know the “fully qualified” name, /scan will only return that requested property (if it exists on that Element).

    {
        "qualifiedColumns": [
            "z:5Ac"
        ],
        "includeHistory": false,
        "keys": [
            "tOPQGwY_Sa-n8C80Y9x2xwAMnhA",
            "ricOExIyRIyTke1_49OlKgAD-WQ"
        ]
    }
    
    Show More

    In this example, we are specifying one or more qualifiedColumns instead of a Column Family. In addition, we’ve asked for it to check the two elements in the keys section of the payload. The result in this case is the following:

    [
        "v1",
        {
            "k": "ricOExIyRIyTke1_49OlKgAD-WQ",
            "z:5Ac": [
                "value 9876"
            ]
        }
    ]
    
    Show More

    It found that property on one of the elements, but not the other.

    If we want to find that propery on ALL elements where it exists, we can just leave off the keys section of the payload, as follows:

    {
        "qualifiedColumns": [
            "z:5Ac"
        ],
        "includeHistory": false
    }
    
    [
        "v1",
        {
            "k": "AKj0KDODTcyzbALnarH4wAAHlnk",
            "z:5Ac": [
                "2184"
            ]
        },
        {
            "k": "ricOExIyRIyTke1_49OlKgAD-WQ",
            "z:5Ac": [
                "value 9876"
            ]
        },
        {
            "k": "_0VkAOU5Te-hmAoPZfSahwAIb7Y",
            "z:5Ac": [
                "2191"
            ]
        }
    ]
    
    Show More

    In this case, that property existed on three elements in the model. We could have passed in more qualifiedColumns and it will return them all in a single query.

    Looking up Display Names

    Obviously, qualified names like z:5Ac or n:n are not suitable for display to the user. See Qualiied Properties for information on how to convert back and forth between internal, fully qualified names, and human-readable names.

    NOTE: /scan works on a per-model basis, so if you have 3 models loaded and have elements from each model you want the properties for, you need to call it 3 separate times.

     
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    We use HubSpot to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. HubSpot Privacy Policy
    Twitter
    We use Twitter to deploy digital advertising on sites supported by Twitter. Ads are based on both Twitter data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Twitter has collected from you. We use the data that we provide to Twitter to better customize your digital advertising experience and present you with more relevant ads. Twitter Privacy Policy
    Facebook
    We use Facebook to deploy digital advertising on sites supported by Facebook. Ads are based on both Facebook data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Facebook has collected from you. We use the data that we provide to Facebook to better customize your digital advertising experience and present you with more relevant ads. Facebook Privacy Policy
    LinkedIn
    We use LinkedIn to deploy digital advertising on sites supported by LinkedIn. Ads are based on both LinkedIn data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that LinkedIn has collected from you. We use the data that we provide to LinkedIn to better customize your digital advertising experience and present you with more relevant ads. LinkedIn Privacy Policy
    Yahoo! Japan
    We use Yahoo! Japan to deploy digital advertising on sites supported by Yahoo! Japan. Ads are based on both Yahoo! Japan data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Yahoo! Japan has collected from you. We use the data that we provide to Yahoo! Japan to better customize your digital advertising experience and present you with more relevant ads. Yahoo! Japan Privacy Policy
    Naver
    We use Naver to deploy digital advertising on sites supported by Naver. Ads are based on both Naver data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Naver has collected from you. We use the data that we provide to Naver to better customize your digital advertising experience and present you with more relevant ads. Naver Privacy Policy
    Quantcast
    We use Quantcast to deploy digital advertising on sites supported by Quantcast. Ads are based on both Quantcast data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Quantcast has collected from you. We use the data that we provide to Quantcast to better customize your digital advertising experience and present you with more relevant ads. Quantcast Privacy Policy
    Call Tracking
    We use Call Tracking to provide customized phone numbers for our campaigns. This gives you faster access to our agents and helps us more accurately evaluate our performance. We may collect data about your behavior on our sites based on the phone number provided. Call Tracking Privacy Policy
    Wunderkind
    We use Wunderkind to deploy digital advertising on sites supported by Wunderkind. Ads are based on both Wunderkind data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Wunderkind has collected from you. We use the data that we provide to Wunderkind to better customize your digital advertising experience and present you with more relevant ads. Wunderkind Privacy Policy
    ADC Media
    We use ADC Media to deploy digital advertising on sites supported by ADC Media. Ads are based on both ADC Media data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that ADC Media has collected from you. We use the data that we provide to ADC Media to better customize your digital advertising experience and present you with more relevant ads. ADC Media Privacy Policy
    AgrantSEM
    We use AgrantSEM to deploy digital advertising on sites supported by AgrantSEM. Ads are based on both AgrantSEM data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AgrantSEM has collected from you. We use the data that we provide to AgrantSEM to better customize your digital advertising experience and present you with more relevant ads. AgrantSEM Privacy Policy
    Bidtellect
    We use Bidtellect to deploy digital advertising on sites supported by Bidtellect. Ads are based on both Bidtellect data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bidtellect has collected from you. We use the data that we provide to Bidtellect to better customize your digital advertising experience and present you with more relevant ads. Bidtellect Privacy Policy
    Bing
    We use Bing to deploy digital advertising on sites supported by Bing. Ads are based on both Bing data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bing has collected from you. We use the data that we provide to Bing to better customize your digital advertising experience and present you with more relevant ads. Bing Privacy Policy
    G2Crowd
    We use G2Crowd to deploy digital advertising on sites supported by G2Crowd. Ads are based on both G2Crowd data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that G2Crowd has collected from you. We use the data that we provide to G2Crowd to better customize your digital advertising experience and present you with more relevant ads. G2Crowd Privacy Policy
    NMPI Display
    We use NMPI Display to deploy digital advertising on sites supported by NMPI Display. Ads are based on both NMPI Display data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that NMPI Display has collected from you. We use the data that we provide to NMPI Display to better customize your digital advertising experience and present you with more relevant ads. NMPI Display Privacy Policy
    VK
    We use VK to deploy digital advertising on sites supported by VK. Ads are based on both VK data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that VK has collected from you. We use the data that we provide to VK to better customize your digital advertising experience and present you with more relevant ads. VK Privacy Policy
    Adobe Target
    We use Adobe Target to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Adobe Target Privacy Policy
    Google Analytics (Advertising)
    We use Google Analytics (Advertising) to deploy digital advertising on sites supported by Google Analytics (Advertising). Ads are based on both Google Analytics (Advertising) data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Google Analytics (Advertising) has collected from you. We use the data that we provide to Google Analytics (Advertising) to better customize your digital advertising experience and present you with more relevant ads. Google Analytics (Advertising) Privacy Policy
    Trendkite
    We use Trendkite to deploy digital advertising on sites supported by Trendkite. Ads are based on both Trendkite data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Trendkite has collected from you. We use the data that we provide to Trendkite to better customize your digital advertising experience and present you with more relevant ads. Trendkite Privacy Policy
    Hotjar
    We use Hotjar to deploy digital advertising on sites supported by Hotjar. Ads are based on both Hotjar data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Hotjar has collected from you. We use the data that we provide to Hotjar to better customize your digital advertising experience and present you with more relevant ads. Hotjar Privacy Policy
    6 Sense
    We use 6 Sense to deploy digital advertising on sites supported by 6 Sense. Ads are based on both 6 Sense data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that 6 Sense has collected from you. We use the data that we provide to 6 Sense to better customize your digital advertising experience and present you with more relevant ads. 6 Sense Privacy Policy
    Terminus
    We use Terminus to deploy digital advertising on sites supported by Terminus. Ads are based on both Terminus data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Terminus has collected from you. We use the data that we provide to Terminus to better customize your digital advertising experience and present you with more relevant ads. Terminus Privacy Policy
    StackAdapt
    We use StackAdapt to deploy digital advertising on sites supported by StackAdapt. Ads are based on both StackAdapt data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that StackAdapt has collected from you. We use the data that we provide to StackAdapt to better customize your digital advertising experience and present you with more relevant ads. StackAdapt Privacy Policy
    The Trade Desk
    We use The Trade Desk to deploy digital advertising on sites supported by The Trade Desk. Ads are based on both The Trade Desk data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that The Trade Desk has collected from you. We use the data that we provide to The Trade Desk to better customize your digital advertising experience and present you with more relevant ads. The Trade Desk Privacy Policy
    RollWorks
    We use RollWorks to deploy digital advertising on sites supported by RollWorks. Ads are based on both RollWorks data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that RollWorks has collected from you. We use the data that we provide to RollWorks to better customize your digital advertising experience and present you with more relevant ads. RollWorks Privacy Policy

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