afv-library/skills/using-webapp-salesforce-data/docs/schema-introspection.md
Ciaran Hannigan 101de85584
feat(using-webapp-salesforce-data): add supporting documentation
Add detailed reference docs for schema introspection, read query
generation, mutation query generation, query testing, and webapp
integration patterns.

Made-with: Cursor
2026-03-24 14:15:57 -04:00

2.9 KiB

Schema Introspection

Schema Access Policy

The schema.graphql file is 265,000+ lines. Loading it into context or opening it in an editor will overwhelm the context window or crash tools.

Do not use cat, less, more, head, tail, editors (VS Code, vim, nano), or programmatic parsers (node, python, awk, sed, jq) on schema.graphql. Use the schema search script or targeted grep calls only.

Schema Lookup

Run the search script from the SFDX project root to get all relevant schema info in one step:

bash .a4drules/skills/using-salesforce-data/graphql-search.sh <EntityName>
# Multiple entities:
bash .a4drules/skills/using-salesforce-data/graphql-search.sh Account Contact Opportunity

Maximum 2 script runs. If the entity still can't be found after checking naming variations, ask the user.

Entity Identification

Map user intent to PascalCase entity names:

  1. Convert natural language to PascalCase (e.g., "accounts" → Account, "case comments" → CaseComment, "custom objects" → CustomObject__c)
  2. Run the schema search script to validate the entity exists
  3. If a candidate does not match, try:
    • __c suffix for custom objects, __e for platform events
    • _Record suffix — Objects added to UI API in API v60+ may use <EntityName>_Record as their type name (e.g., FeedItem_Record instead of FeedItem)
  4. If an entity cannot be resolved, ask the user for the correct name — do not guess

Iterative Introspection

Use a maximum of 3 introspection cycles to resolve all entities and their dependencies:

  1. Introspect — Run the schema search script for each unresolved entity
  2. Fields — Extract requested field names and types from the type definition output
  3. References — Identify reference fields. If a reference resolves to multiple types, mark it as polymorphic (use inline fragments in the generated query). Add newly discovered entity types to the working list.
  4. Child relationships — Identify Connection types (e.g., Contacts: ContactConnection). Add child entity types to the working list.
  5. Next cycle — If unresolved entities remain and the cycle limit hasn't been reached, repeat from step 1

Hard Stop Rules

  • If no introspection data is returned for an entity, stop — the entity may not be deployed
  • If unknown entities remain after 3 cycles, stop — ask the user for clarification
  • Do not proceed with query generation until all entities and requested fields are confirmed in the schema

Deployment Prerequisites

The schema reflects the current org state. Custom objects and fields appear only after metadata is deployed.

  • Before running npm run graphql:schema: Deploy all metadata and assign permission sets. Invoke the deploying-to-salesforce skill for the full sequence.
  • After any metadata deployment: Re-run npm run graphql:schema and npm run graphql:codegen so types and queries stay in sync.