Grafema Batch Plugin Development
SkillFiles & storageHow to write a Grafema batch-mode plugin that reads the graph and filesystem, then writes new edges/nodes directly to RFDB. Use when: (1) need to add project-specific edges that generic analyzers can't produce, (2) need to read config files (JSON/YAML) and trace values into code, (3) implementing framework-specific resolvers (Django settings, Express routes, pipeline configs). Covers: grafema.config.yaml plugin config, RFDB field naming (src/dst NOT source/target), addEdges/addNodes API, RFDBServerBackend connection pattern.
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What this skill tells your AI
The instructions your AI receives, as published by disentinel/grafema in .claude/skills/grafema-batch-plugin-development/SKILL.md and read by ahel’s review.
Problem
Generic language analyzers (Python, JS, etc.) can't resolve project-specific patterns like config-driven registries, DI containers, or framework routing. Batch plugins bridge this gap by reading both the graph AND filesystem.
Context / Trigger Conditions
- Need to resolve dynamic dependencies driven by config files (JSON, YAML)
- Framework-specific patterns:
importlib.import_module()+ config, DI wiring, event dispatch, route→handler mapping - Generic analyzer produces the base graph, but project-specific edges are missing
- User asks for "project-level plugin" or "config-driven resolution"
Solution
1. Plugin configuration in grafema.config.yaml
plugins:
- name: my-project-plugin
command: "node my-plugin.mjs"
mode: batch # KEY: batch mode gets RFDB_SOCKET env var
2. Plugin receives environment variables
RFDB_SOCKET=/path/to/.grafema/rfdb.sock
RFDB_DATABASE=default
3. Plugin template (Node.js / ESM)
const { RFDBServerBackend } = await import(
'/path/to/grafema/packages/util/dist/storage/backends/RFDBServerBackend.js'
);
const backend = new RFDBServerBackend({
socketPath: process.env.RFDB_SOCKET,
autoStart: false, // server already running
});
await backend.connect();
// Read existing graph
const allNodes = await backend.getAllNodes();
// Read project config files (filesystem access!)
import { readFileSync } from 'fs';
const config = JSON.parse(readFileSync('config.json', 'utf-8'));
// Build new edges
const newEdges = [];
// ... resolution logic ...
// CRITICAL: use src/dst, NOT source/target
newEdges.push({
src: sourceNodeId, // NOT 'source'
dst: targetNodeId, // NOT 'target'
edgeType: 'MY_EDGE', // NOT 'type' alone
metadata: { ... },
});
// Write to RFDB
await backend.addEdges(newEdges);
await backend.flush();
await backend.close();
4. Critical field naming
| Correct | WRONG (silent failure) | What happens |
|---|---|---|
src | source | String(undefined) = "undefined" stored |
dst | target | Same — edge created with garbage IDs |
edgeType | type only | Works but less explicit |
As of v0.3.22+, validation throws with helpful hints:
addEdges: edge at index 0 is missing required 'src' field.
Did you mean 'src'? Found 'source' = 'grafema://...'
5. Orchestrator execution order
Analysis (parse files) → Resolution (python-resolve, etc.)
→ User plugins (your batch plugin runs HERE)
→ Unresolved diagnostics → Module dependency derivation → Metrics
Plugin runs AFTER built-in resolution, so it can read resolved edges.
Verification
After grafema analyze, check:
grafema overview --json | jq '.edgesByType'
New edge types from your plugin should appear.
Example: Pipeline Config Resolver
Resolves importlib.import_module(f".stages.{name}") + pipeline_config.json:
// Find importlib calls in graph
const importlibCalls = allNodes.filter(
n => n.type === 'CALL' && n.name === 'import_module' && n.receiver === 'importlib'
);
// Read config
const stages = config.pipeline.stages.filter(s => s.enabled);
// For each configured stage, emit REGISTRY_WIRES edge
for (const call of importlibCalls) {
for (const stage of stages) {
const targetModule = allNodes.find(
n => n.type === 'MODULE' && n.file === `pkg/stages/${stage.module}.py`
);
if (targetModule) {
newEdges.push({
src: call.id,
dst: targetModule.id,
edgeType: 'REGISTRY_WIRES',
metadata: { mechanism: 'importlib', config_source: 'pipeline_config.json' },
});
}
}
}
Notes
- Batch plugins write directly to RFDB — orchestrator reports
nodes=0 edges=0in its log for batch plugins (this is expected, not a bug) - Plugin runs from the project root directory (where grafema.config.yaml lives)
- Plugin stderr goes to orchestrator log; stdout is captured but ignored for batch mode
- Use
depends_on: ["python-resolution"]if your plugin needs resolved edges - getAllNodes() returns ALL nodes including METRIC/ISSUE — filter by type
- Node IDs are URI format:
grafema://host/file#TYPE-%3Ename%5Bscope%5D
Signals
- GitHub stars
- 36
- Forks
- 3
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
grafema-batch-plugin-development- Source
- github.com/disentinel/grafema