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
Allows passing an optional label to `parseStatModifiers` to override
the default ID-based label. This enables more descriptive names in
the UI and improves how modifier labels are derived in the journal
view.
Introduces a new `stat-modifiers` CSV role that simplifies the
creation of template stats and their associated modifier stats.
A single CSV block now automatically generates:
- A template stat definition.
- Multiple modifier stat definitions (prefixed with the template ID).
- The corresponding template table.
This reduces the need for manual YAML definitions for every
modifier associated with a template.
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.
Move YAML and CSV stat parsing logic from CLI and journal components
into a new shared `stat-parser.ts` module to enable reuse between
the CLI scanner and the client-side frontend.
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.
Refactor the completions system to support both CLI mode (via
`/__COMPLETIONS.json`) and a client-side fallback scan for dev mode.
- Implement client-side scanning of the file index for dice and headings
- Add `ensureCompletions` to allow components to await data readiness
- Update `JournalInput` to handle "no results" states in the dropdown
- Improve keyboard navigation (Tab to accept, Enter to select)
- Update dice regex to support `:md-dice[...]` syntax
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