Implements #418: `/projects/[projectId]` as a Server Component over SQL aggregates, plus the shared derivation helpers that #419 and #422 are instructed to reuse rather than reimplement. ## The shared interface — `src/lib/projects/derivations.ts` Pure, no db client, no table shapes; unit-tested against in-memory fixtures. This is the single source of truth for *complete*, *overdue* and *evidence completeness*. Code against it sight-unseen: buildStageLadders(stages: StageLadderEntry[]): StageLadders Resolve the ladder once, then ask it questions. `StageLadderEntry` is `{ id, projectWorkstreamId, order }` — one `project_workstream_stage` row. Pass EVERY stage of every workstream you will ask about; a partial ladder derives the wrong terminal stage. Row-level, over `WorkOrderDerivationInput` (`{ projectWorkstreamStageId, forecastEnd: string | Date | null }`): progressOfWorkOrder(ladders, wo): "not_started" | "in_progress" | "complete" | null isComplete(ladders, wo): boolean isOverdue(ladders, wo, asOf: Date): boolean Set-level, for pushing into SQL instead of streaming rows into JS: ladders.stageIdsByProgress(progress): bigint[] ladders.isTerminalStage(stageId): boolean ladders.orderOfStage(stageId) / ladders.workstreamOfStage(stageId) Evidence (advisory counts only — never a gate, per CONTEXT.md): requiredEvidenceRequirementIds(ladders, requirements, stageId): bigint[] evidenceCompleteness(required, satisfied): EvidenceCompleteness sumEvidenceCompleteness(parts): EvidenceCompleteness isMissingRequiredEvidence(completeness): boolean `EvidenceCompleteness` is `{ required, satisfied, missing, ratio }` where `ratio` is `null` — not `0` — when nothing is required, so "unconfigured" and "0% met" stay distinguishable. `sumEvidenceCompleteness` sums counts before dividing rather than averaging percentages. Also exported: `toCalendarDay(value)`, which normalises a `date` column value to `YYYY-MM-DD` UTC. Bind it as a SQL parameter rather than using `CURRENT_DATE`, so a page and its queries measure against the same day across midnight. ### Rules, as decided in the issue - complete = stage is the ladder's terminal stage (highest `order`) - overdue = `forecast_end` strictly before today AND not complete - evidence = advisory counts of submissions against required requirements ### Edge cases pinned down (documented because two tickets depend on them) - Single-stage ladder is terminal, not first: it reads `complete`. - Every stage tied at the maximum `order` is terminal (and at the minimum, first) — `order` is not unique in the schema, so this stays deterministic. - Unknown/unloaded stage id derives `null` progress: not complete, and still eligible to be overdue. - Dates compare as calendar days in UTC. Due *today* is not overdue. - A stage-scoped requirement applies once the work order has REACHED that stage (`requirement order <= work order order`); unscoped applies always. Only `required = true` requirements count. ## Aggregating in SQL without duplicating the rules `src/app/repositories/projects/dashboardRepository.ts` counts in the database — one grouped query over (workstream, contractor, stage) returns a few hundred rows regardless of the work-order count. The rules are not restated in SQL: - Terminal-ness is never asked of SQL. The aggregate groups by stage id; `buildStageLadders` classifies those few dozen ids in JS. - Overdue is split at its `AND`: SQL counts rows past their forecast day (`pastForecast`), and `overdueOf` drops terminal groups. - Evidence applicability is decided by `requiredEvidenceRequirementIds` and handed to SQL as a `(stage_id, requirement_id)` VALUES list — it crosses into SQL as data, never as a re-implemented predicate. `src/lib/projects/dashboardSummary.ts` folds those grouped rows into the four bands, so the KPI totals and the tables beneath them are derived from the same aggregate and cannot disagree. ## Notes - "Unassigned contractor" is structurally unreachable in v1 (`work_order.project_workstream_contractor_id` is NOT NULL), so the count reads 0. It is computed via a LEFT JOIN rather than hard-coded so it becomes truthful on its own if that column is ever relaxed. - Authorization is left on the existing `../authz` route seam, which the per-project layout also applies. Replacing it with `@/lib/projects/authz` is #409's work; this change adds no permission logic of its own. - "Awaiting auth", "No access" and notifications are cut from the wireframe, as the issue specifies — no schema support. ## Seeding: written, NOT run `src/app/db/seed/seed-projects-dashboard.ts` seeds ~1,500 work orders so a human can check the render at programme scale. **It was deliberately never executed.** The database reachable from this environment is the shared PRODUCTION database, so seeding from here would have written fabricated delivery records into live data. Run it yourself against a non-production database: ALLOW_PROJECTS_DASHBOARD_SEED=i-am-not-production \ npx tsx src/app/db/seed/seed-projects-dashboard.ts <projectId> It refuses to run without that variable, refuses under NODE_ENV=production, and prints DB_HOST with a 5s pause before writing. Everything it inserts is prefixed `SEED-418-` so it can be removed again. Consequently the "renders acceptably with ~1,500 seeded orders" criterion is UNVERIFIED — it needs that script run on a scratch database and the page opened. The query shape is designed for it (grouped counts, bounded result set), but designed-for is not measured. ## Tests 110 tests over the derivation logic, the fold and the query construction — in-memory fixtures throughout. The repository test stubs `@/app/db/db` via `vi.mock` so no `pg.Pool` is ever constructed and no connection can open. Full suite: 618 passed. Typecheck and lint clean. Cypress not run. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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|---|---|---|
| .claude | ||
| .devcontainer | ||
| .github/workflows | ||
| .impeccable/critique | ||
| .vscode | ||
| backlog | ||
| cypress | ||
| docs | ||
| drizzle/meta | ||
| public | ||
| src | ||
| .db-env | ||
| .eslintrc.json | ||
| .gitignore | ||
| CLAUDE.md | ||
| components.json | ||
| CONTEXT.md | ||
| cypress.config.ts | ||
| devcontainer.sh | ||
| drizzle.config.ts | ||
| generate_migration.sh | ||
| migrate_to_db.sh | ||
| next.config.js | ||
| package-lock.json | ||
| package.json | ||
| postcss.config.js | ||
| PRODUCT.md | ||
| README.md | ||
| run_build.sh | ||
| run_local.sh | ||
| skills-lock.json | ||
| tailwind.config.js | ||
| tsconfig.json | ||
| vitest.config.ts | ||
This is a Next.js project bootstrapped with create-next-app.
Getting Started
When first getting set up you'll firstly want to install the existing dependencies. To do this, simply run
npm install
# or
yarn install
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
This project uses next/font to automatically optimize and load Inter, a custom Google Font.
Learn More
To learn more about Next.js, take a look at the following resources:
- Next.js Documentation - learn about Next.js features and API.
- Learn Next.js - an interactive Next.js tutorial.
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
Deploy on Vercel
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.
We currently have a development version, found at https://assessment-model-dev.vercel.app, and a production version at https://assessment-model.vercel.app, however the production version is missing a significant number of environmental variables, which will need to be added.
Drizzle ORM
We're using Drizzle ORM to interface with our AWS Postgres database. Documentation on getting set up can be found here
Schemas
In order to get started with Drizzle, a schema needs to be created. Schemas can be added src/app/db/schema as typescript files. See the documentation on how to set up schemas but effectively, Drizzle allows you to define schemas as typescript code, which allows for simple, type safe schema definitions.
Creating Migrations
To create a migration, a command has been set up in package.json. Simply run
npm run migration:generate
Or with yarn/pnmp accordingly.
Note, there seems to be a bug with Drizzle which is documented here.
The workaround is to open up tsconfig.json and comment out "target": "es5", and replace it with "target": "ESNext". This should hopefully only
be a temporary workaround required.
Pushing migrations
To push migrations, another command has been set up in package.json, since drizzle-kit currently does not support pushing for Postgres out of the box.
Run
npm run migration:push
Which will commit changes to the database. The database changes will be pushed to the public schema, whereas a meta record will be pushed to the __drizzle_migrations schema.
Inserting users into the database
In order to insert a user into the database, simply run
npm run create_users -- {email} {firstName}
Since we're using just the built in process arguments to read command line arguments, the ordering of arguments needs to be email address and then name
Cypress Testing Documentation
This document provides an overview of how to perform end-to-end testing using Cypress for the login functionality of the application. The testing code is based on the provided code snippets.
Prerequisites
Node.js installed on your machine Cypress installed as a dev dependency in your project
Test Execution
To execute the login tests, follow these steps:
- Run
npm run test:e2e:open
Which will open Crypress test runner
- Select the tests that you want to run. At the time of writing, only login tests have been completed
Key files
The key files that are at play for testing are documented here. Because of some issues testing next-auth and setting cookies, a custom command to set
the JWT, and avoid the functionality defined in the signIn function as defined in src/app/api/auth/[...nextauth]/route.ts
cypress/plugins/index.js is a standard file, required by cypress to journey through the Google Oauth flow
cypress/figtures/session.json is a user fixture that is used to log in a user in the login tests
cypress/support/commands.ts creates a custom login user command which sets a JWT and allows us to actually authenticate. cy.intercept only mocks the client side behaviour of the apis and therefore does not set any cookies, do this function does this manually.
Generating pre-signed urls
In our terraform stack, we have a module called s3_presignable_bucket which contains the definition for our bucket which we will use to store retrofit plan input csv's in.
We will generate a pre-signed url and then make a post request to that endpoint to store that data to s3. Part of that process is the creation of an AWS IAM role which contains
the permission set to access the bucket, rerofit-plan-inputs-<stage>. The name of this IAM role is s3_presign_role_<stage> and for our NextJS application, as it's hosted outside of AWS (for the moment), we need to generate a set of access credentials to give the application access to this bucket. The access key and secret key are automatically generated and stored in AWS secrets manager under dev/presign_frontend/access_key and dev/presign_frontend/secret_key and need to be set in the environment for the pre-sign api to store csv data to aws.