Explain Tasks Module and Service Architecture without relying on framework buzzwords.
Connect the lesson to the phase outcome: Build persistent task CRUD through controller → service → Prisma with explicit contracts and verified database effects.
Reproduce the relevant behavior and verify it with evidence.
Diagnose at least one representative failure instead of guessing.
Figure 11.3 — TaskFlow boundary map
HTTP route
→
controller
→
service
→
Prisma query
→
PostgreSQL
→
mapped response
This lesson belongs to Phase 11. Keep the full request/data path visible even when today's code changes only one box.
Instructor workflow: predict first → implement the smallest slice → run it → inspect evidence → break one assumption → diagnose → explain it back. Do not copy the whole code block before understanding the first failing boundary.
Tasks Module and Service Architecture
Controllers, services, dependency injection, and a clean Prisma boundary
Phase 11 replaces process memory with durable PostgreSQL-backed application behavior.
The module we actually need
The old TodosModule stored data in memory. Phase 11 introduces TasksModule because Task is now the
durable domain resource. We do not create repository abstractions yet; PrismaService already gives the
service a clean database dependency.
Module wiring
import { Module } from "@nestjs/common";
import { TasksController } from "./tasks.controller";
import { TasksService } from "./tasks.service";
Code
@Module({
controllers: [TasksController],
providers: [TasksService],
})
export class TasksModule {}
PrismaModule is global from Phase 09, so TasksModule does not need to import it explicitly. TasksService can
request PrismaService through Nest dependency injection.
Code
Application module
import { Module } from "@nestjs/common";
import { ConfigModule } from "@nestjs/config";
import { HealthModule } from "./health/health.module";
import { PrismaModule } from "./prisma/prisma.module";
import { TasksModule } from "./tasks/tasks.module";
The old /todos endpoint represented temporary storage. Leaving it registered beside /tasks would create two
competing resource models and confuse the learning architecture.
Compile-time request shapes - temporary
import {
TaskPriority,
TaskStatus,
} from "../generated/prisma/client";
// These are compile-time shapes only. Phase 12 replaces this temporary
// boundary with DTOs + runtime validation.
export type CreateTaskInput = {
projectId: string;
title: string;
description?: string | null;
};
These TypeScript types help the editor and compiler, but they do not validate JSON received from the network.
A caller can still send an invalid string at runtime. Phase 12 replaces this temporary boundary with DTOs and
runtime validation.
Service dependency graph
Figure 1 - Nest dependency graph
TasksController
↓
TasksService
↓
PrismaService
↓
Prisma Client + adapter
↓
PostgreSQL
Nest wires class dependencies; Prisma handles persistence; the database remains the final integrity boundary.
Controller vs service
Controller owns Service owns
Routes and HTTP decorators Task application behavior
Path/body extraction Project existence checks
HTTP status choice Prisma queries
Delegation Not-found semantics
NestJS guidance consistently treats controllers as request handlers that delegate more complex work to
injectable providers/services. That separation is the pattern TaskFlow follows here.
Executable lesson studio · business
Now turn the explanation into engineering skill.
Tasks Module and Service Architecture matters because it changes a real boundary in TaskFlow. The goal is to understand the inputs, owner, observable output, and failure modes before adding more abstraction.
By the end, you should be able to
Explain Tasks Module and Service Architecture in terms of concrete inputs, ownership, outputs, and evidence.
Implement or reproduce the smallest TaskFlow slice that demonstrates this business concept.
Diagnose one representative business failure using observable evidence instead of trial-and-error.
Figure 11.3B — Mental model
request
→
validated command
→
invariant
→
state transition
→
persisted result
Read left-to-right while implementing. When debugging, walk right-to-left until the first observed fact differs from your prediction.
Code-along sequence
One coherent change at a time
01
Restate the goal of “Tasks Module and Service Architecture” as one observable behavior. Write the success signal before touching code.
02
Trace the boundary map: request → validated command → invariant → state transition → persisted result. Mark the one boundary this lesson changes.
03
Inspect the current repository state and record the exact files, route, table, or runtime involved. Avoid creating an abstraction before you can name the existing owner.
04
Implement the smallest vertical slice. Add one coherent change, run the narrowest verification command, and read the output before continuing.
05
Connect the slice to TaskFlow’s phase artifact: Working /tasks API supporting create/list/read/update/delete against PostgreSQL with consistent error behavior.. Verify behavior from the outside as a user or API client would.
06
Create one controlled failure that is safe to reproduce. Predict the symptom first, capture evidence, locate the earliest broken boundary, then fix only that cause.
07
Close the reference and rebuild or explain the core change from memory. Record what you would monitor or test before trusting the same change in production.
tsMake the transition rule explicit
if (task.status === "DONE") {
throw new TaskAlreadyCompletedError(task.id);
}
task.status = "DONE";
task.completedAt = new Date();
Do not copy this as a finished answer. Predict what each boundary does, type the smallest useful slice, run it, then compare the result with your prediction.
Verification
Prove the happy path
Run the narrowest relevant command or request and require a clean exit/status.
Inspect the boundary-specific evidence: terminal output, Network panel, database row/query plan, test report, container health, or deployment logs.
Repeat the behavior once after the change so a one-off cached or stale result cannot masquerade as success.
Break it on purpose
Build debugging memory
Missing records bubble up as raw ORM exceptions
Change one assumption in the business example—identity, input, configuration, ordering, connectivity, or state—and predict the exact symptom before running it.
SymptomInvestigation path
Expected result does not appear
Return to the nearest observable boundary: input, network, process log, database, or rendered UI. Compare actual evidence with the predicted path.
A shortcut appears to fix it
Change one variable at a time and reproduce the original failure after the fix; otherwise you have correlation, not diagnosis.
Closed-reference challenge
Can you transfer the idea?
Without copying the final source, create a second small scenario that applies “Tasks Module and Service Architecture” to a different TaskFlow resource or input. Write the acceptance criteria first, implement it, and provide the evidence that each criterion is satisfied.
Explain-back
Answer these without reopening the solution
What problem does Tasks Module and Service Architecture solve in TaskFlow, and what would be observably wrong without it?
Which part of the business boundary owns the decision, and which neighboring layer must not own it?
What evidence proves the happy path instead of merely suggesting it worked?
Name one realistic failure or abuse case and the first place you would inspect.
If requirements doubled tomorrow, which part of this design should stay stable and which part is allowed to change?
Lesson studio
Turn the reading into skill
01
Do it
Implement list/read with deterministic ordering and missing-record behavior.
Use the smallest change that demonstrates this lesson. Stop after it works and capture evidence.02
Break it safely
Missing records bubble up as raw ORM exceptions
Predict the symptom before causing the failure. Then locate the earliest boundary where reality diverges from expectation.03
Explain it back
Why does this responsibility live here, what input does it trust, what output proves success, and what would go wrong if another layer owned it?
If your explanation is vague, repeat the boundary trace before moving on.
Exit ticket
Before marking complete
Close the reference. Reproduce the core idea from memory or explain the exact request/data flow aloud. Then check your diff or notes for accidental shortcuts that bypass validation, authorization, error handling, or verification earned in earlier phases.