test-document-knowledge-base

A project-specific testing guide for the DocumentKnowledgeBase React component, which displays documents and PDF annotations. It explains the test wrapper and the mock data and services needed to mount the component.

In plain words
What is it for?
Use it when writing or updating Playwright component tests for the document knowledge base and its PDF.js annotation features.
Why use it?
The component depends on several application services and shared state, so incomplete test setup can cause timeouts or crashes that hide the real result.

Cursor rule for Cursor

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/open-source-legal/opencontracts/test-document-knowledge-base
Clone the repo
git clone --depth 1 https://github.com/Open-Source-Legal/OpenContracts

Made for: Cursor.

Per session 1,267 This file is loaded in full into every session.
When invoked 1,267 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.01267 $0.01267
Opus 5 $0.00633 $0.00633
Sonnet 5 $0.00253 $0.00253
Haiku 4.5 $0.00127 $0.00127

Measured 2d ago against content hash 98405c6461e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

test-document-knowledge-base scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.cursor/rules/test-document-knowledge-base.mdc · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Testing DocumentKnowledgeBase

This document records the canonical approach for component–testing DocumentKnowledgeBase with Playwright-CT, Apollo Client mocks and Jotai atoms. The component depends on many React-contexts, GraphQL queries, REST calls and external assets – missing any of them will usually surface as silent timeouts or stack-overflows. Follow the checklist below and copy / adapt the helpers that already live in this directory.


1. Always mount through DocumentKnowledgeBaseTestWrapper

DocumentKnowledgeBaseTestWrapper.tsx encapsulates everything the component needs:

  • MockedProvider with
    • a minimal but type-policy aware InMemoryCache
    • an ApolloLink that • delegates normal requests to MockLink • intercepts wild-card addAnnotation mutations, returning a canned payload
  • Jotai’s global <Provider> so every …Atom used inside the component is satisfied
  • The optional CorpusStateDebugger that prints the corpus atom whenever it changes

Never mount DocumentKnowledgeBase directly in tests – you will miss at least one of the above.

Example:

await mount(
<DocumentKnowledgeBaseTestWrapper
mocks={graphqlMocks}
documentId={PDF_DOC_ID}
corpusId={CORPUS_ID}
/>
);

2. GraphQL mocks – common pitfalls

DocumentKnowledgeBase renders before it knows which tab / layer the user will pick, therefore a surprisingly large set of queries executes immediately.

  1. GET_DOCUMENT_KNOWLEDGE_AND_ANNOTATIONS
  2. GET_DOCUMENT_ANALYSES_AND_EXTRACTS
  3. GET_CONVERSATIONS

Extra refetch calls are triggered when:

  • the user selects an analysis (analysisId set)
  • the user selects an extract (analysisId replaced by the extract id)

Mandatory mocks

The test file DocumentKnowledgeBase.ct.tsx already includes a complete list that works for:

  • a PDF document (PDF_DOC_ID)
  • a TXT document (TXT_DOC_ID)
  • the unexpected boot call where documentId === ""

When adding new tests, start by copying this array and trimming what you do not need – never delete the empty-string variant unless you are 100 % sure no component code path calls it.

Read the full file on GitHub · 137 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 137 lines · 1,267 tokens per session scan A 98405c6461e0

Subscribe to this mod's changes

test-document-knowledge-base is a cursor rule published in the GitHub repository Open-Source-Legal/OpenContracts (1,459 stars, last pushed today), licensed MIT. It adds 1,267 tokens to every session, about $0.0063 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.