Postman request (what you configure)
Method: POST
URL: https://jsonplaceholder.typicode.com/posts
Headers: Content-Type: application/json
Body (raw JSON):
{
  "title": "Learning APIs",
  "body": "First request from Postman",
  "userId": 1
}
Expected: status 201 Created and a JSON response with an id

// mongosh — insert and find documents
use school
db.students.insertOne({ name: "Asha", course: "Python", marks: [78, 85, 92] })
db.students.insertOne({ name: "Ravi", course: "SQL", marks: [64, 70] })
db.students.find({ course: "Python" })
db.students.find({ marks: { $gte: 80 } }, { name: 1, _id: 0 })

// Postman → request → Tests tab
pm.test("status is 201", function () {
    pm.response.to.have.status(201);
});

pm.test("response has an id", function () {
    const body = pm.response.json();
    pm.expect(body).to.have.property("id");
});

// Save the id for the next request in the collection
pm.collectionVariables.set("postId", pm.response.json().id);

# Export your collection as JSON, then run it with Newman (Postman's CLI runner)
npm install -g newman
newman run my-api-collection.json
# Useful later for running API tests in CI pipelines

# pip install fastapi uvicorn pymongo
from fastapi import FastAPI
from pymongo import MongoClient

client = MongoClient("mongodb://localhost:27017")
students = client.school.students
app = FastAPI()

@app.post("/students", status_code=201)
def add_student(student: dict):
    result = students.insert_one(student)
    return {"id": str(result.inserted_id)}

@app.get("/students")
def list_students(course: str | None = None):
    query = {"course": course} if course else {}
    return [{**s, "_id": str(s["_id"])} for s in students.find(query).limit(50)]
# Test both endpoints with Postman

// mongosh
db.students.createIndex({ course: 1 })
db.students.find({ course: "Python" }).explain("executionStats")
// Look for IXSCAN (index scan) instead of COLLSCAN (full scan)

Four-week plan
Week 1: HTTP basics + Postman (methods, status codes, JSON, collections)
Week 2: Postman tests + variables; explore 2 public APIs
Week 3: MongoDB basics (CRUD, queries, indexes) with mongosh
Week 4: Build a small API on MongoDB; test it with a Postman collection

Exercises
☐ Send GET, POST, PUT, DELETE to a practice API
☐ Write tests for status codes and fields
☐ Use collection variables for base URL and IDs
☐ Insert, find, update, delete documents in MongoDB
☐ Query with $gte and $in
☐ Create an index and check explain()
☐ Build POST and GET endpoints backed by MongoDB

# Students API
## Stack
FastAPI, MongoDB, Postman collection for tests
## Endpoints
POST /students  — add a student
GET  /students?course=Python — list students
## How to test
Import students.postman_collection.json and run it
## What I learned