plots: incorporate strokedash into dvc

[dberenbaum]

There's a rough POC of the ideas above in https://github.com/iterative/dvc/tree/plots-fields and https://github.com/iterative/dvc-render/tree/plots-fields.

These changes updates output to include these new fields:

```json
"dvc_id": "workspace::train/acc.tsv::train/acc",
"dvc_rev": "workspace",
"dvc_filename": "train/acc.tsv",
"dvc_field": "train/acc",
"dvc_source": "train/acc.tsv::train/acc"
```

• Incorporates these into templates, using dvc_rev for color and dvc_source for strokeDash.
• Drops data_version_info.

Here's an example of dvc plots diff --split --json output:

{
  "dvc.yaml::Accuracy": [
    {
      "type": "vega",
      "revisions": [
        "HEAD",
        "workspace"
      ],
      "content": {
        "$schema": "https://vega.github.io/schema/vega-lite/v5.json",
        "data": {
          "values": "<DVC_METRIC_DATA>"
        },
        "title": "dvc.yaml::Accuracy",
        "width": 300,
        "height": 300,
        "params": [
          {
            "name": "smooth",
            "value": 0.001,
            "bind": {
              "input": "range",
              "min": 0.001,
              "max": 1,
              "step": 0.001
            }
          }
        ],
        "layer": [
          {
            "mark": "line",
            "encoding": {
              "x": {
                "field": "step",
                "type": "quantitative",
                "title": "step"
              },
              "y": {
                "field": "dvc_inferred_y_value",
                "type": "quantitative",
                "title": "accuracy",
                "scale": {
                  "zero": false
                }
              },
              "color": {
                "field": "dvc_rev",
                "type": "nominal"
              },
              "strokeDash": {
                "field": "dvc_source",
                "type": "nominal"
              }
            },
            "transform": [
              {
                "loess": "dvc_inferred_y_value",
                "on": "step",
                "groupby": [
                  "dvc_rev",
                  "dvc_source"
                ],
                "bandwidth": {
                  "signal": "smooth"
                }
              }
            ]
          },
          {
            "mark": {
              "type": "point",
              "tooltip": {
                "content": "data"
              }
            },
            "encoding": {
              "x": {
                "field": "step",
                "type": "quantitative",
                "title": "step"
              },
              "y": {
                "field": "dvc_inferred_y_value",
                "type": "quantitative",
                "title": "accuracy",
                "scale": {
                  "zero": false
                }
              },
              "color": {
                "field": "dvc_rev",
                "type": "nominal"
              },
              "strokeDash": {
                "field": "dvc_source",
                "type": "nominal"
              }
            }
          }
        ]
      },
      "datapoints": {
        "workspace": [
          {
            "step": "0",
            "train/acc": "0.5262",
            "dvc_inferred_y_value": "0.5262",
            "rev": "workspace::train/acc.tsv::train/acc",
            "dvc_id": "workspace::train/acc.tsv::train/acc",
            "dvc_rev": "workspace",
            "dvc_filename": "train/acc.tsv",
            "dvc_field": "train/acc",
            "dvc_source": "train/acc.tsv::train/acc"
          },
...

Originally posted by @dberenbaum in https://github.com/iterative/vscode-dvc/issues/3130#issuecomment-1407395008

[dberenbaum]

Context: this should allow dvc to have consistent behavior across its own html output, vs code, and studio, without needing vs code and studio to manipulate the plots themselves as much. The goal here should be to reduce the custom manipulation each product needs to render plots.

[mattseddon]

Related to #9018

[dberenbaum]

Fixed by @mattseddon