Replace the old stat-parser logic with a new declare-parser to handle
variable declarations and tag modifiers. This includes moving the
declare-parser logic to a shared location in cli/completions to avoid
duplication between the CLI and the journal component.
Introduce ReactiveStatManager to allow dynamic stat replacement within
rendered markdown content. This component scans the article DOM for
`${key}` patterns and reactively updates them based on the journal
stream.
As part of this change, the SVG-based StatSheet system is removed in
favor of this more flexible text-based approach.
Relocate spark table logic from the block processor to a dedicated
directive scanner. This allows spark tables to be treated as
`:md-table` directives and ensures they are processed in a second pass
after the content index is fully populated.
Introduces the ability to discover and render `*.sheet.svg` files.
These files can contain `<text>` elements with `${key}` templates
that reactively update based on the current journal stats.
- Add `StatSheet` type and CLI scanning logic
- Implement `SheetView` for rendering SVGs with live bindings
- Add `parseSheet` utility to extract template patterns from SVG
- Update file indexer to include `.svg` files
Introduce a centralized `block-processor` and `block-scanner` to
handle markdown fenced code blocks. This replaces the previous
`inline-blocks.ts` and individual completion sources with a unified
approach that handles block stripping, directive replacement, and
metadata extraction (stats, templates, and spark tables) in a single
pass.
Introduces a new `template` stat type that allows for table-based
lookups via CSV blocks in markdown files. When a template stat is
rolled, it uses a dice expression defined in the template to select
an entry, applies a label, and automatically updates associated
modifier stats using relative values.
Implement "spark tables" functionality, which allows users to roll
dice against markdown tables to retrieve specific values.
- Add `sparkTablesSource` to scan markdown files for tables starting
with a dice notation (e.g., d6, d20).
- Implement `/spark` command in the journal to resolve and roll
spark tables.
- Add a new message type `spark` with a dedicated UI component to
render the results.
- Update completions API to include spark table metadata.
Implement a new completions system that scans markdown files for
dice notation and headings. The server now exposes a
`/__COMPLETIONS.json`
endpoint and automatically recomputes the completion index when
files are added, updated, or deleted.
hypercross