Doclea MCP

/** * Test fixtures for author data * Common author configurations for testing expertise mapping */ export interface TestAuthor { name: string; email: string; } // Individual authors for testing export const ALICE: TestAuthor = { name: "Alice Developer", email: "alice@example.com", }; export const BOB: TestAuthor = { name: "Bob Engineer", email: "bob@example.com", }; export const CHARLIE: TestAuthor = { name: "Charlie Coder", email: "charlie@example.com", }; export const DIANA: TestAuthor = { name: "Diana Dev", email: "diana@example.com", }; export const EVE: TestAuthor = { name: "Eve Expert", email: "eve@example.com", }; export const FRANK: TestAuthor = { name: "Frank Fixer", email: "frank@example.com", }; // Special case authors export const UNICODE_AUTHOR: TestAuthor = { name: "José García-Müller", email: "jose@example.com", }; export const LONG_NAME_AUTHOR: TestAuthor = { name: "Alexander Bartholomew Christopher Davidson", email: "alex@example.com", }; // Author with same name, different email (for exclusion testing) export const ALICE_WORK: TestAuthor = { name: "Alice Developer", email: "alice@company.com", }; // All standard test authors export const ALL_AUTHORS = [ALICE, BOB, CHARLIE, DIANA, EVE, FRANK]; /** * Create an author with custom name/email */ export function createAuthor(name: string, email?: string): TestAuthor { return { name, email: email ?? `${name.toLowerCase().replace(/\s+/g, ".")}@example.com`, }; } /** * Create multiple authors with auto-generated emails */ export function createAuthors( count: number, prefix = "Developer", ): TestAuthor[] { return Array.from({ length: count }, (_, i) => createAuthor(`${prefix} ${i + 1}`), ); } // Pre-configured author scenarios /** * Single dominant author (100% ownership) */ export const SINGLE_OWNER_SCENARIO = { authors: [{ ...ALICE, commits: 50 }], expectedPrimaryPercentage: 100, expectedBusFactorRisk: true, }; /** * Two authors with 80/20 split (at risk threshold) */ export const AT_THRESHOLD_SCENARIO = { authors: [ { ...ALICE, commits: 80 }, { ...BOB, commits: 20 }, ], expectedPrimaryPercentage: 80, expectedBusFactorRisk: true, // Exactly at 80% }; /** * Two authors with 79/21 split (just below threshold) */ export const BELOW_THRESHOLD_SCENARIO = { authors: [ { ...ALICE, commits: 79 }, { ...BOB, commits: 21 }, ], expectedPrimaryPercentage: 79, expectedBusFactorRisk: false, // Below 80% }; /** * Three authors with even distribution (healthy) */ export const HEALTHY_DISTRIBUTION_SCENARIO = { authors: [ { ...ALICE, commits: 40 }, { ...BOB, commits: 35 }, { ...CHARLIE, commits: 25 }, ], expectedBusFactor: 3, expectedBusFactorRisk: false, }; /** * Many contributors with small percentages */ export const MANY_CONTRIBUTORS_SCENARIO = { authors: [ { ...ALICE, commits: 20 }, { ...BOB, commits: 18 }, { ...CHARLIE, commits: 17 }, { ...DIANA, commits: 16 }, { ...EVE, commits: 15 }, { ...FRANK, commits: 14 }, ], expectedBusFactor: 6, // All have >= 5% expectedBusFactorRisk: false, }; /** * One major, one minor contributor (below 5%) */ export const MAJOR_MINOR_SCENARIO = { authors: [ { ...ALICE, commits: 96 }, { ...BOB, commits: 4 }, ], expectedBusFactor: 1, // Only Alice >= 5% expectedBusFactorRisk: true, };