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tabularis-plugin-driver

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Use when creating or updating a Tabularis database driver plugin in Rust. Covers modern manifest fields, JSON-RPC over stdio, modular plugin layout, MySQL-level feature coverage targets, optional UI extensions, and validation against Tabularis repo rules.

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Source SKILL.md: https://github.com/TabularisDB/tabularis/blob/HEAD/.claude/skills/tabularis-plugin-driver/SKILL.md

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Tabularis Plugin Driver

Use this skill when building or updating a database plugin for Tabularis.

The skill is optimized for this repository. Follow AGENTS.md, the files in .rules/, and the current plugin-system behavior in src-tauri/src/plugins/ and src/types/plugins.ts.

Goals

  • Build a Rust plugin that speaks Tabularis JSON-RPC over stdin/stdout
  • Use the modern plugin manifest, not the old minimal format
  • Aim for broad feature coverage comparable to the built-in MySQL driver where the target database supports it
  • Keep the plugin modular instead of concentrating logic in a single main.rs
  • Add unit tests for pure utilities and SQL generation

Default Repo Layout

Prefer this structure for a new plugin repository:

plugin-root/
├── Cargo.toml
├── manifest.json
├── README.md
├── src/
│   ├── main.rs
│   ├── rpc.rs
│   ├── client.rs
│   ├── error.rs
│   ├── models.rs
│   ├── handlers/
│   │   ├── mod.rs
│   │   ├── metadata.rs
│   │   ├── query.rs
│   │   ├── crud.rs
│   │   └── ddl.rs
│   └── utils/
│       ├── mod.rs
│       ├── identifiers.rs
│       ├── values.rs
│       ├── types.rs
│       └── pagination.rs
├── src/bin/
│   └── test_plugin.rs
└── tests/                # only if integration tests are worth the overhead

Keep src/main.rs thin. It should mostly parse requests, dispatch methods, and serialize responses.

Required Research Before Coding

  1. Read the current plugin manifest shape in:
    • plugins/manifest.schema.json
    • src/types/plugins.ts
    • src-tauri/src/plugins/manager.rs
  2. Read the JSON-RPC expectations in:
    • plugins/PLUGIN_GUIDE.md
    • src-tauri/src/plugins/driver.rs
    • src-tauri/src/plugins/rpc.rs
  3. Read a built-in driver with broad coverage to understand expected behaviors:
    • src-tauri/src/drivers/mysql/mod.rs
  4. Read plugin-loading behavior and modern feature flags in:
    • src/hooks/useDrivers.ts
    • src/utils/connectionStringParser.ts
    • src/utils/driverCapabilities.ts

Implementation Workflow

1. Define plugin scope

Decide which capabilities are truly supported by the target database and driver library:

  • schemas
  • views
  • routines
  • file_based
  • folder_based
  • connection_string
  • connection_string_example
  • identifier_quote
  • alter_primary_key
  • alter_column
  • create_foreign_keys
  • manage_tables
  • readonly
  • no_connection_required

Do not advertise support you cannot back with working handlers.

2. Create a modern manifest

At minimum define:

  • id
  • name
  • version
  • description
  • default_port
  • executable
  • capabilities
  • data_types
  • default_username
  • color
  • icon

Use modern optional fields when useful:

  • settings
  • ui_extensions

See references/manifest-checklist.md.

3. Build a modular RPC surface

Implement the request loop in main.rs, but move logic out immediately:

  • rpc.rs: request parsing, success/error helpers, method routing support
  • client.rs: connection config, client creation, pooling or reuse key logic
  • handlers/metadata.rs: databases, schemas, tables, columns, indexes, foreign keys, views, routines
  • handlers/query.rs: test_connection, ping, execute_query, count_query, explain_query_plan if possible
  • handlers/crud.rs: insert_record, update_record, delete_record
  • handlers/ddl.rs: SQL generation helpers and DDL RPC methods
  • utils/*: quoting, escaping, value formatting, type normalization, pagination math

4. Target broad feature coverage

Use the built-in MySQL driver as the feature benchmark, not as text to copy.

For each feature area, classify it:

  • supported: implement fully
  • partially_supported: implement with explicit limitations
  • unsupported: return an accurate error or empty result as appropriate

Prioritize these methods:

  • test_connection
  • get_databases
  • get_schemas
  • get_tables
  • get_columns
  • get_foreign_keys
  • get_indexes
  • get_views
  • get_view_definition
  • get_view_columns
  • get_routines
  • get_routine_parameters
  • get_routine_definition
  • execute_query
  • insert_record
  • update_record
  • delete_record
  • get_schema_snapshot
  • get_all_columns_batch
  • get_all_foreign_keys_batch
  • get_create_table_sql
  • get_add_column_sql
  • get_alter_column_sql
  • get_create_index_sql
  • get_create_foreign_key_sql
  • drop_index
  • drop_foreign_key

If a method is not safe to emulate, fail explicitly instead of faking success.

Optional routine-management methods

When the manifest declares "routine_management": true, the host shows run / create / edit / drop actions for routines. The backing RPC methods are optional: if the plugin does not implement one, the host answers the JSON-RPC "method not found" error (-32601) with a dialect-neutral fallback (CALL name(args) / SELECT name(args), generic DROP, the raw definition as edit script). Implement only what the dialect needs:

  • build_routine_call_sql({ params, routine_name, routine_type, args, schema }) -> string — args is an ordered list of { name, mode, value: string|null, is_raw: bool }; return an executable invocation script (it is opened in the editor, so multi-statement scripts are fine — e.g. MySQL's SET @out / CALL / SELECT @out).
  • routine_create_template({ routine_type, schema }) -> string — starter script for a new PROCEDURE/FUNCTION in the plugin's dialect.
  • get_routine_edit_script({ params, routine_name, routine_type, schema }) -> string — re-runnable script to alter the routine (e.g. DROP + CREATE, or CREATE OR REPLACE).
  • drop_routine({ params, routine_name, routine_type, schema }) -> null — drop the routine; resolve overloads yourself if the dialect has them.

5. Add settings only when they solve a real problem

Typical useful settings:

  • DSN name
  • driver/library path
  • default schema
  • TLS mode
  • extra connection properties

Keep settings in the manifest and resolve them in a dedicated config path, not inline in handlers.

6. Add UI extensions only when the database needs them

Examples of good reasons:

  • a custom connection helper for DSN-based setup
  • an advanced settings panel for database-specific options
  • contextual UI for unsupported-but-important caveats

Avoid UI extensions that only decorate the product without improving DB-specific workflows.

Testing Strategy

Always add unit tests for pure logic:

  • identifier quoting
  • SQL builders
  • type normalization
  • pagination helpers
  • value serialization
  • capability-driven helper decisions

Prefer pure utility modules so tests stay fast and deterministic.

If the plugin includes a JSON-RPC smoke binary like src/bin/test_plugin.rs, use it to simulate Tabularis requests over stdio.

Validation Checklist

Before finishing:

  • cargo test
  • cargo build --release
  • smoke test at least one JSON-RPC request through stdin/stdout
  • verify manifest.json matches current Tabularis schema and capabilities
  • verify any advertised capability has corresponding handler behavior
  • verify unsupported operations return clear errors

Tabularis-Specific Rules

  • Comments and docs must be in English
  • Keep code split by responsibility; avoid a monolithic main.rs
  • Add unit tests for extracted utility logic
  • When updating this repo itself, follow AGENTS.md requirements including GitNexus impact analysis before editing existing symbols
  • Use pnpm for frontend-side validation in this repo and cargo for plugin validation

Common Mistakes

  • copying old plugin manifests that omit modern fields
  • putting connection logic, SQL generation, RPC parsing, and metadata extraction in one file
  • advertising manage_tables or alter_column without implementing the related methods
  • returning fake empty success for operations that should surface unsupported behavior
  • skipping tests for identifier quoting and SQL generation

References