Gemini - Pavlov3D XML flow determination

Date: 2025 09-September 12

CB 0: Generic XML inquiry for a data input XML, a configuration XML, and an output XML

Hello

  

I need to generate three XML files, for a piece of software

  

one that represents raw data, sourced from an API

  

the second represents configuration to feed into the program

  

the third to represent the program state after it has run, as an output answer

G 0:

Of course. Here are three example XML files representing the workflow you described: raw data from an API, a configuration file, and the final program state output.

For this example, let's imagine a simple program that processes weather forecast data.

The Goal: The program will take raw weather data for several cities, use a configuration file to select one city, convert the units, and generate an alert if certain conditions are met.

1. Raw Data File (`raw_data.xml`)

This file represents the kind of data you might get from an external API. It's typically verbose, contains more information than you need, and is in a standardized format (like Celsius for temperature).

Description:

The root element is <ApiResponse>.
It contains a list of <Forecast> elements, one for each city.
Each forecast includes the city's metadata and a list of <DailyData> points.
The units are standardized from the source (e.g., temperature in Celsius, wind in KPH).

XML

<ApiResponse generated="2025-09-12T12:10:00Z">
  <Forecast>
    <City>
      <Name>New York</Name>
      <Country>US</Country>
      <Latitude>40.7128</Latitude>
      <Longitude>-74.0060</Longitude>
    </City>
    <DailyData>
      <Date>2025-09-13</Date>
      <TemperatureCelsius>28</TemperatureCelsius>
      <Condition>Sunny</Condition>
      <HumidityPercent>65</HumidityPercent>
      <WindKPH>15</WindKPH>
    </DailyData>
    <DailyData>
      <Date>2025-09-14</Date>
      <TemperatureCelsius>33</TemperatureCelsius>
      <Condition>Partly Cloudy</Condition>
      <HumidityPercent>70</HumidityPercent>
      <WindKPH>20</WindKPH>
    </DailyData>
  </Forecast>
  <Forecast>
    <City>
      <Name>London</Name>
      <Country>GB</Country>
      <Latitude>51.5074</Latitude>
      <Longitude>-0.1278</Longitude>
    </City>
    <DailyData>
      <Date>2025-09-13</Date>
      <TemperatureCelsius>18</TemperatureCelsius>
      <Condition>Rain</Condition>
      <HumidityPercent>88</HumidityPercent>
      <WindKPH>25</WindKPH>
    </DailyData>
    <DailyData>
      <Date>2025-09-14</Date>
      <TemperatureCelsius>20</TemperatureCelsius>
      <Condition>Cloudy</Condition>
      <HumidityPercent>85</HumidityPercent>
      <WindKPH>22</WindKPH>
    </DailyData>
  </Forecast>
</ApiResponse>

2. Configuration File (`config.xml`)

This file tells the program how to process the raw data. It's a set of instructions, allowing the user to customize the program's behavior without changing the code.

Description:

The root element is <ProcessorConfig>.
<TargetCity> tells the program which city's data to focus on.
<OutputUnits> specifies the desired units for the output, triggering a conversion.
<Alerts> defines the conditions for the program to generate a warning. In this case, it will trigger an alert if the temperature exceeds 90°F.

XML

<ProcessorConfig>
  
  <TargetCity>New York</TargetCity>
  
  <OutputUnits>
    <Temperature>Fahrenheit</Temperature>
    <WindSpeed>MPH</WindSpeed>
  </OutputUnits>
  
  <Alerts>
    <HighTemperatureThreshold unit="Fahrenheit">90</HighTemperatureThreshold>
  </Alerts>
  
</ProcessorConfig>

3. Program State Output (`output.xml`)

This file is the final result. The program has read raw_data.xml, applied the rules from config.xml, and generated this summary. It contains only the relevant information, in the desired format.

Description:

The root element is <ProcessingResult>, which includes attributes about when the job was run.
<InputSources> provides traceability, showing which files were used to generate this output.
<ProcessedSummary> contains the data for the target city only.
The data has been converted to the units specified in the config file (Fahrenheit and MPH).
The <GeneratedAlerts> section is present because one of the days met the criteria defined in config.xml (temperature over 90°F).

XML

<ProcessingResult timestamp="2025-09-12T12:15:30Z" status="Success">
  
  <InputSources>
    <DataFile>raw_data.xml</DataFile>
    <ConfigFile>config.xml</ConfigFile>
  </InputSources>
  
  <ProcessedSummary>
    <City>
      <Name>New York</Name>
      <Country>US</Country>
    </City>
    <ProcessedForecast>
      <Day date="2025-09-13">
        <TemperatureFahrenheit>82.4</TemperatureFahrenheit>
        <Condition>Sunny</Condition>
        <WindMPH>9.3</WindMPH>
      </Day>
      <Day date="2025-09-14">
        <TemperatureFahrenheit>91.4</TemperatureFahrenheit>
        <Condition>Partly Cloudy</Condition>
        <WindMPH>12.4</WindMPH>
      </Day>
    </ProcessedForecast>
  </ProcessedSummary>
  
  <GeneratedAlerts>
    <Alert type="HighTemperature">
      <Date>2025-09-14</Date>
      <Message>Temperature (91.4°F) exceeded threshold of 90°F.</Message>
    </Alert>
  </GeneratedAlerts>
  
</ProcessingResult>

These three files clearly demonstrate the separation of concerns: raw data, configuration logic, and processed output, which is a very common and robust pattern in software design.

CB 1: Pavlov 3D Specific Flow

Your weather approach is a great example, thank you, this is clarifying as I learn about XML.

  

The project I am working on is a new approach to Pavlov 3D, a software that is meant to distribute and organize large amounts of data in 3D space in a meaningful way. There should be grouping and subgrouping.

  

Let us assume that data is time series, either for time values with correlated magnitude values, or for binned time ranges with either averaged or summed values.

  

A great use case for this product is for basketball scouts, recruiting players for college basketball. They can see two different stats for each player at the same time, like summed points and rebounds, binned into 16ths of a game. Two stats at the say time because the X axis is time, the vertical axis is points, and the other horizontal axis is rebounds. Each of these curves can be grouped with others like them, by player positions and then by school, and then by regions of the country. This is just one example of how results might be filtered and viewed, but the all raw data that might be queried should be available, either by calling the API again or by checking the cache / database for data that has already been queried and received.

  

Software configuration would be things like style of graph (bar versus scatter, geometry of datapoints, color, direction of subgroup stacking, etc)

  

data and configuration should be enough to generate an output, but also the alogorithm should allow modular opportunity for live editing in the middle, like dragging groups to different positions, changing plot styles and seeing immediate changes, etc.

  

the live view would be in 3D environment like threeJS or BabylonJS

  

the output xml should represent the final geometry and labelling of the model that can be written to an explort file, like GLB

  

make sense?

  

feel free to ask clarifying questions.

G 1: Pavlov 3D Basketball Scouting Response

Excellent. This is a fascinating and well-defined use case. The concept of translating multi-dimensional time-series data into a 3D scene graph is a perfect application for this kind of XML workflow.

You've correctly identified the key components:

Raw Data: A comprehensive "data lake" of all available statistics.
Configuration: A "lens" or "query" that defines how to filter, shape, and style the visualization.
Output State: A descriptive "scene graph" that represents the final 3D geometry, ready for a rendering engine.

Let's build these three XML files based on your basketball scouting example for Pavlov 3D.

1. Raw Data File (`player_stats_feed.xml`)

This file is the source of truth, containing detailed, unfiltered data. It's designed to be comprehensive, even if a user only wants to view a small subset. It includes stats for multiple players across different schools, regions, and games.

Description:

The root is <SportsDataFeed>.
Data is structured hierarchically: <Region> -> <School> -> <Player>.
Each <Player> has a list of <Game> performances.
Each <Game> is broken down into 16 <TimeBin> elements, representing the 16ths of the game.
Each bin contains summed values for various stats (Points, Rebounds, Assists, etc.).

XML

<SportsDataFeed source="StatsAPI_v2.1" timestamp="2025-09-12T17:00:00Z">
  <Region name="Midwest">
    <School name="State University">
      <Player id="P101" name="John Doe" position="Center">
        <Game id="G01" opponent="Rival College">
          <TimeBin index="1"><Points>2</Points><Rebounds>1</Rebounds><Assists>0</Assists></TimeBin>
          <TimeBin index="2"><Points>0</Points><Rebounds>2</Rebounds><Assists>0</Assists></TimeBin>
          <TimeBin index="15"><Points>4</Points><Rebounds>1</Rebounds><Assists>1</Assists></TimeBin>
          <TimeBin index="16"><Points>2</Points><Rebounds>3</Rebounds><Assists>0</Assists></TimeBin>
        </Game>
        <Game id="G02" opponent="Tech Institute">
          <TimeBin index="1"><Points>0</Points><Rebounds>2</Rebounds><Assists>1</Assists></TimeBin>
          </Game>
      </Player>
      <Player id="P102" name="Mike Smith" position="Guard">
        </Player>
    </School>
  </Region>
  <Region name="West Coast">
    <School name="Coastal University">
      <Player id="P201" name="David Chen" position="Center">
        <Game id="G05" opponent="Ocean View Academy">
           <TimeBin index="1"><Points>1</Points><Rebounds>1</Rebounds><Assists>2</Assists></TimeBin>
           </Game>
      </Player>
    </School>
  </Region>
</SportsDataFeed>

2. Configuration File (`view_config.xml`)

This file defines the user's current "view" of the data. It specifies which data to pull, how to map it to 3D axes, and all the stylistic choices for rendering. This is what the user would manipulate through a UI.

Description:

The root is <Pavlov3DConfig>.
<DataQuery> filters the raw data. Here, we're only asking for players who are "Centers".
<AxisMapping> is crucial: it tells the algorithm which data field maps to which 3D axis.
<VisualStyle> controls the aesthetics:
- <PlotStyle> determines if data points are bars, spheres, etc.
- <ColorPalette> defines coloring rules (e.g., color by school).
- <Layout> controls the spatial organization of groups and subgroups.

XML

<Pavlov3DConfig name="Top_Centers_Midwest_View">

  <DataQuery>
    <Filter type="region" value="Midwest"/>
    <Filter type="position" value="Center"/>
  </DataQuery>

  <AxisMapping>
    <X_Axis sourceField="time_bin" label="Time (1/16th of Game)"/>
    <Y_Axis sourceField="Points" label="Points Scored"/>
    <Z_Axis sourceField="Rebounds" label="Rebounds"/>
  </AxisMapping>

  <VisualStyle>
    <PlotStyle type="bar">
      <BarGeometry baseWidth="0.8" baseDepth="0.8" />
    </PlotStyle>
    <ColorPalette scheme="by_school"/>
    <Layout>
      <StackingDirection>Z</StackingDirection>
      <GroupSpacing>10.0</GroupSpacing>
      <SubGroupSpacing>2.0</SubGroupSpacing>
    </Layout>
    <Fonts>
      <LabelFont family="Arial" size="12" color="#FFFFFF"/>
    </Fonts>
  </VisualStyle>

</Pavlov3DConfig>

3. Output Scene File (`scene_export.xml`)

This is the final product. After the software processes the raw data using the config file, it generates this scene description. This is not statistical data anymore; it's a blueprint of geometric objects, their positions, colors, and labels. A 3D engine like Three.js would parse this file to construct and render the scene. This file would also be updated if the user manually drags a group to a new position.

Description:

The root is <SceneGraph>, the standard term for a 3D scene's structure.
<SceneNode> elements create the hierarchy. Notice the transform attribute, which stores the position, rotation, and scale. This is what changes during live editing.
<MeshObject> represents a visible object (a single bar in our bar chart).
- Its id links it back to the source data.
- Its position is calculated: X from the time bin, Y from the baseline, Z from its group's offset.
- Its scale is dynamic: Y-scale is determined by the Points value for that bin.
- <Material> defines its appearance (color).
- <Metadata> holds the original data values, perfect for displaying tooltips on hover.
<LabelNode> represents text labels in the 3D space.

XML

<SceneGraph version="1.0" author="Pavlov3D">

  <Environment>
    <BackgroundColor>#101015</BackgroundColor>
    <Camera position="0 20 50" lookAt="0 0 0"/>
  </Environment>

  <SceneNode id="Region_Midwest" transform="position:0 0 0; rotation:0 0 0; scale:1 1 1;">
    <LabelNode text="Region: Midwest" transform="position:0 15 0;"/>
    
    <SceneNode id="School_State_University" transform="position:0 0 0;">
      <LabelNode text="School: State University" transform="position:0 12 0;"/>
      
      <SceneNode id="Player_P101" transform="position:0 0 0;">
        <LabelNode text="John Doe (Center)" transform="position:0 10 0;"/>
        
        <MeshObject id="P101_G01_B1" type="bar">
          <Geometry>cube</Geometry>
          <Transform position="1 1 1" rotation="0 0 0" scale="0.8 2 0.8"/>
          <Material color="#A60000"/>
          <Metadata>
            <DataItem key="Game">G01 vs Rival College</DataItem>
            <DataItem key="TimeBin">1</DataItem>
            <DataItem key="Points">2</DataItem>
            <DataItem key="Rebounds">1</DataItem>
          </Metadata>
        </MeshObject>

        <MeshObject id="P101_G01_B2" type="bar">
          <Geometry>cube</Geometry>
          <Transform position="2 0 2" rotation="0 0 0" scale="0.8 0 0.8"/>
          <Material color="#A60000"/>
          <Metadata>
             </Metadata>
        </MeshObject>
        
        </SceneNode>
    </SceneNode>
  </SceneNode>
</SceneGraph>

This approach correctly separates the concerns and provides a clear, logical path from a vast data source to a specific, styled, and interactive 3D representation.

CB 2: Initial queried raw data format

I think your time binning data in the data XML example is not realistic. Check and see how stat data is usually delivered via typical popular queryable basketball stat apis used by professionals.

  

I don't know if the raw data is as rigorous as a time stamp for ever rebound or a time stamp for ever shot, that would need to be converted into binned sums.

G2: Raw data representation in XML

You've made an excellent point, and your intuition is spot on. A professional-grade sports API would not typically deliver data pre-binned into arbitrary segments like "16ths of a game." That kind of aggregation is usually done by the client software itself to allow for maximum flexibility.

A more realistic raw data feed would be a Play-by-Play (PBP) log. This is a granular, time-stamped stream of every single event that occurs in a game.

This is actually a much better model, as it makes your Pavlov 3D software more powerful. The software can ingest this raw event stream and then, based on the configuration, perform the binning itself (into 16ths, 8ths, quarters, or any other interval).

Let's revise the XML files to reflect this more realistic and robust workflow.

1. (Revised) Raw Data File (`player_stats_pbp.xml`)

This file now represents a Play-by-Play feed for a single game. It's a chronological list of events, each with a timestamp (game clock), the player involved, and event-specific details.

Description:

The root is <PlayByPlayFeed>, identifying the game.
A <Rosters> section at the top defines all players involved, so we can use efficient IDs (playerRef) in the event log.
The core is a list of <Event> elements.
Each <Event> has a period (quarter), gameClock, eventType, and a human-readable description.
Crucially, nested tags like <ShotResult> or <Rebound> provide the structured data associated with each event.

XML

<PlayByPlayFeed gameId="G01" homeTeam="State University" awayTeam="Rival College" gameDate="2025-02-18">
  <Rosters>
    <Team id="T01" name="State University">
      <Player id="P101" name="John Doe" position="Center"/>
      <Player id="P102" name="Mike Smith" position="Guard"/>
    </Team>
    <Team id="T02" name="Rival College">
      <Player id="P205" name="Chris Lee" position="Forward"/>
    </Team>
  </Rosters>
  
  <Events>
    <Event eventId="1" period="1" gameClock="11:52" eventType="shot" description="John Doe makes 2-pt layup.">
      <PlayerRef playerId="P101"/>
      <ShotResult outcome="made" points="2" shotType="layup" assistedBy="P102"/>
    </Event>
    <Event eventId="2" period="1" gameClock="11:50" eventType="rebound" description="John Doe gets offensive rebound.">
      <PlayerRef playerId="P101"/>
      <Rebound type="offensive"/>
    </Event>
    <Event eventId="3" period="1" gameClock="11:34" eventType="turnover" description="Mike Smith loses ball.">
      <PlayerRef playerId="P102"/>
      <Turnover type="lost_ball" stolenBy="P205"/>
    </Event>
    <Event eventId="4" period="1" gameClock="10:58" eventType="shot" description="John Doe misses 3-pt jumper.">
      <PlayerRef playerId="P101"/>
      <ShotResult outcome="missed" points="0" shotType="jumper"/>
    </Event>
    <Event eventId="5" period="1" gameClock="10:56" eventType="rebound" description="Chris Lee gets defensive rebound.">
      <PlayerRef playerId="P205"/>
      <Rebound type="defensive"/>
    </Event>
    </Events>
</PlayByPlayFeed>

2. (Updated) Configuration File (`view_config.xml`)

Because the raw data is now much more granular, the configuration file must be updated to tell the software how to process it. We'll add a <DataProcessing> section.

Description:

New Section: A <DataProcessing> block is added.
Binning Instruction: The <Binning> tag is the key addition. It explicitly tells the software to take the PBP event stream and aggregate it into 16 time-based segments. This is where the magic happens. The software would calculate the total duration of a game and divide the timeline into 16 chunks, summing the events within each.
The rest of the file (DataQuery, AxisMapping, VisualStyle) remains the same, as it operates on the data after it has been processed and binned.

XML

<Pavlov3DConfig name="Top_Centers_Midwest_View">

  <DataProcessing>
    <Binning method="time" segments="16" />
  </DataProcessing>

  <DataQuery>
    <Filter type="position" value="Center"/>
  </DataQuery>

  <AxisMapping>
    <X_Axis sourceField="time_bin" label="Time (1/16th of Game)"/>
    <Y_Axis sourceField="Points" label="Points Scored"/>
    <Z_Axis sourceField="Rebounds" label="Rebounds"/>
  </AxisMapping>

  <VisualStyle>
    <PlotStyle type="bar">
      <BarGeometry baseWidth="0.8" baseDepth="0.8" />
    </PlotStyle>
    <ColorPalette scheme="by_school"/>
    <Layout>
      <StackingDirection>Z</StackingDirection>
      <GroupSpacing>10.0</GroupSpacing>
    </Layout>
  </VisualStyle>

</Pavlov3DConfig>

3. Output Scene File (`scene_export.xml`)

The structure of the final output file does not need to change. Its purpose is still to describe the final 3D geometry. The difference is that the values within its transform and metadata tags are now the result of the application's own internal aggregation process, as dictated by the new config.xml.

The workflow is now:

The software ingests the granular player_stats_pbp.xml.
It reads the view_config.xml and sees the <Binning segments="16"> instruction.
It processes the hundreds of events, summing the points, rebounds, etc., for each player into 16 time buckets.
It then takes this newly created, in-memory binned dataset and applies the axis mapping and visual styling rules.
Finally, it generates the exact same scene_export.xml structure as before, turning those binned sums into the positions and scales of the bars in the 3D scene.

This revised model is far more realistic and flexible. By changing one line in the config (e.g., <Binning segments="4"/>), the user could instantly see the same data summarized by quarter, making your software much more powerful for analysis.

CB 3: XML to FBX mapping

The format that Pavlov 3D currently export in FBX.


Please generate an XML file that maps nicely to FBX, especially for grouping and subgrouping, translations of entities, and the lowest level of mesh geometry represented in a way that is maximally expressive but not using too much data (like if every data point is an icosahedron of the same size, you only need one coordinate for the center of each data point, and then the geometry can be applied as a macro with DRY principles, if this is possible in FBX)

G 3:

Excellent question. You're correctly thinking about the next logical step: how to structure the scene data in a way that's ready for a standard 3D format. FBX is a great choice as it's an industry-standard for scene interchange.

Your point about instancing and the DRY (Don't Repeat Yourself) principle is critical for performance and file size, especially with large datasets. An FBX scene is fundamentally a graph of connected nodes. We can absolutely design an XML structure that maps to this concept, allowing you to define a mesh once and instance it many times.

Here is an example XML file, pavlov_fbx_map.xml, structured to be easily parsed and converted into an FBX scene. It uses a three-part structure that mirrors how FBX itself is organized:

<Definitions>: A library of reusable assets (Geometries, Materials).
<Scene>: A list of all the nodes (groups, meshes) with their unique transformations (position, etc.).
<Connections>: The "glue" that defines the parent-child hierarchy and links nodes to their assets from the Definitions.

This structure allows us to define the icosahedron mesh once in <Definitions> and then create many lightweight <Node> objects in <Scene>, each with its own position derived from the data, and finally link them all to the single mesh definition in <Connections>.

Pavlov 3D Scene Export XML (`pavlov_fbx_map.xml`)

XML

<FBXMap version="1.0" sourceConfig="Top_Centers_Midwest_View.xml">

  <Definitions>
    <Geometries>
      <Geometry id="Geo_Icosahedron_LOD1" name="DataPoint_Icosahedron">
        <Vertices>
          1,1,-1, 1,-1,-1, -1,-1,-1, -1,1,-1, 1,1,1, 1,-1,1, -1,-1,1, -1,1,1
        </Vertices>
        <PolygonVertexIndex>
          0,1,2,-4, 4,5,1,-1, 7,6,5,-5, 3,2,6,-8, 0,3,7,-5, 1,5,6,-3
        </PolygonVertexIndex>
      </Geometry>
    </Geometries>

    <Materials>
      <Material id="Mat_StateU_Red" name="StateUniversityRed">
        <Property name="DiffuseColor" type="ColorRGB" value="0.65, 0.0, 0.0"/>
        <Property name="Shininess" type="float" value="20.0"/>
      </Material>
      <Material id="Mat_Label_White" name="LabelMaterial">
        <Property name="DiffuseColor" type="ColorRGB" value="1.0, 1.0, 1.0"/>
      </Material>
    </Materials>
  </Definitions>


  <Scene>
    <Node id="Node_Root" type="Group" name="SceneRoot">
      <Transform>
        <Translation x="0" y="0" z="0"/>
        <Rotation x="0" y="0" z="0"/>
        <Scaling x="1" y="1" z="1"/>
      </Transform>
    </Node>
    <Node id="Node_Region_Midwest" type="Group" name="Region_Midwest">
      <Transform>
        <Translation x="0" y="0" z="0"/>
        <Rotation x="0" y="0" z="0"/>
        <Scaling x="1" y="1" z="1"/>
      </Transform>
    </Node>
    <Node id="Node_School_StateU" type="Group" name="School_State_University">
      <Transform>
        <Translation x="0" y="0" z="10"/>
        <Rotation x="0" y="0" z="0"/>
        <Scaling x="1" y="1" z="1"/>
      </Transform>
    </Node>
    
    <Node id="Node_P101_G01_B1" type="Mesh" name="P101_G01_Bin1">
      <Transform>
        <Translation x="1.0" y="2.0" z="1.0"/>
        <Rotation x="0" y="0" z="0"/>
        <Scaling x="1" y="1" z="1"/>
      </Transform>
    </Node>
    <Node id="Node_P101_G01_B2" type="Mesh" name="P101_G01_Bin2">
      <Transform>
        <Translation x="2.0" y="0.0" z="2.0"/>
        <Rotation x="0" y="0" z="0"/>
        <Scaling x="1" y="1" z="1"/>
      </Transform>
    </Node>
    </Scene>


  <Connections>
    <Connect type="ParentChild" parent="Node_Root" child="Node_Region_Midwest"/>
    <Connect type="ParentChild" parent="Node_Region_Midwest" child="Node_School_StateU"/>
    <Connect type="ParentChild" parent="Node_School_StateU" child="Node_P101_G01_B1"/>
    <Connect type="ParentChild" parent="Node_School_StateU" child="Node_P101_G01_B2"/>
    <Connect type="ObjectLink" objectId="Geo_Icosahedron_LOD1" targetId="Node_P101_G01_B1"/>
    <Connect type="ObjectLink" objectId="Geo_Icosahedron_LOD1" targetId="Node_P101_G01_B2"/>
    <Connect type="MaterialLink" materialId="Mat_StateU_Red" targetId="Node_P101_G01_B1"/>
    <Connect type="MaterialLink" materialId="Mat_StateU_Red" targetId="Node_P101_G01_B2"/>
    </Connections>

</FBXMap>

How This Maps to an FBX Exporter

An FBX export script or program would parse this XML with a clear set of instructions:

Iterate through <Definitions>:
- For each <Geometry>, create an FbxMesh object and populate its control points (vertices) and polygons. Store it in a dictionary with its ID (e.g., geometries['Geo_Icosahedron_LOD1']).
- For each <Material>, create an FbxSurfacePhong material, set its properties, and store it (e.g., materials['Mat_StateU_Red']).
Iterate through <Scene>:
- For each <Node>, create an FbxNode object with the given name.
- Set its LclTranslation, LclRotation, and LclScaling properties from the <Transform> data.
- Store the new node in a dictionary (e.g., nodes['Node_P101_G01_B1']).
Iterate through <Connections>:
- For a ParentChild connection, find the parent and child nodes in your dictionary and call parent.AddChild(child).
- For an ObjectLink connection, get the node and the geometry from your dictionaries and call node.SetNodeAttribute(geometry). This is the step that attaches the mesh to the node.
- For a MaterialLink, get the node and the material and call node.AddMaterial(material).

This structure cleanly separates the what from the where and the how, perfectly achieving the goal of instancing and providing a logical, direct path to creating an FBX file.

CB 4: Generate a correlating FBX file

(Flash Model downgrade)

G 4:

It is not possible for me to generate a fully compliant FBX file, as the format is highly complex and specific, and requires a dedicated software library to create accurately. However, I can provide a representation of what an ASCII FBX file might look like, based on the provided XML and filling in the necessary FBX-specific details and structure.

This is a conceptual approximation, not a valid, runnable FBX file. The real FBX format has many more sections, properties, and specific formatting rules that are not captured here.

; FBX ASCII file
; Generated by a hypothetical tool from FBXMap data
; All values are illustrative and do not represent a valid FBX file.

FBXHeaderExtension: {
	FBXHeaderVersion: 1000
	FBXVersion: 7500
	CreationTime: "2025-09-12 12:29:25"
	Creator: "FBXMap to FBX Converter"
}

GlobalSettings: {
	Version: 1000
	UnitScaleFactor: 1.0
	OriginalUnitScaleFactor: 1.0
	UpAxis: 1
	UpAxisSign: 1
	FrontAxis: 2
	FrontAxisSign: 1
	CoordAxis: 0
	CoordAxisSign: 1
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Documents: {
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			P: "Name", "KString", "", "", "SceneRoot"
			P: "ActiveAnimStackName", "KString", "", "", "Take 001"
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		Count: 5
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	ObjectType: "Material" {
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	ObjectType: "Geometry" {
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CB 0: Generic XML inquiry for a data input XML, a configuration XML, and an output XML

G 0:

1. Raw Data File (raw_data.xml)

2. Configuration File (config.xml)

3. Program State Output (output.xml)

CB 1: Pavlov 3D Specific Flow

G 1: Pavlov 3D Basketball Scouting Response

1. Raw Data File (player_stats_feed.xml)

2. Configuration File (view_config.xml)

3. Output Scene File (scene_export.xml)

CB 2: Initial queried raw data format

G2: Raw data representation in XML

1. (Revised) Raw Data File (player_stats_pbp.xml)

2. (Updated) Configuration File (view_config.xml)

3. Output Scene File (scene_export.xml)

CB 3: XML to FBX mapping

G 3:

Pavlov 3D Scene Export XML (pavlov_fbx_map.xml)

How This Maps to an FBX Exporter

CB 4: Generate a correlating FBX file

G 4:

1. Raw Data File (`raw_data.xml`)

2. Configuration File (`config.xml`)

3. Program State Output (`output.xml`)

1. Raw Data File (`player_stats_feed.xml`)

2. Configuration File (`view_config.xml`)

3. Output Scene File (`scene_export.xml`)

1. (Revised) Raw Data File (`player_stats_pbp.xml`)

2. (Updated) Configuration File (`view_config.xml`)

3. Output Scene File (`scene_export.xml`)

Pavlov 3D Scene Export XML (`pavlov_fbx_map.xml`)