Data Validation Skill

Expert data validation for Python backends (Pydantic) and TypeScript frontends (Zod) with type-safe validation pipelines.

Quick Reference

Project Structure

backend/
├── app/
│   ├── schemas/
│   │   ├── __init__.py
│   │   ├── student.py      # StudentCreate, StudentUpdate, StudentOut
│   │   ├── fee.py          # FeeCreate, FeeOut
│   │   └── common.py       # PaginationParams, ErrorDetail
│   └── models/             # SQLModel (separate from schemas)
frontend/
├── lib/
│   ├── schemas/
│   │   ├── student.schema.ts
│   │   └── index.ts        # Export all schemas
│   └── validation.ts       # Shared validation utilities
└── types/
    └── shared.ts           # Inferred types from Zod

Backend: Pydantic Models

Separate In/Out Models

# backend/app/schemas/student.py
from datetime import datetime
from typing import Optional
from pydantic import BaseModel, EmailStr, Field, ConfigDict


# === CREATE Models (Input) ===

class StudentCreate(BaseModel):
    """Payload for creating a new student."""

    first_name: str = Field(
        ...,
        min_length=1,
        max_length=100,
        examples=["John"],
        description="Student's first name",
    )
    last_name: str = Field(
        ...,
        min_length=1,
        max_length=100,
        examples=["Doe"],
    )
    email: EmailStr = Field(..., examples=["john.doe@school.edu"])
    phone: Optional[str] = Field(
        None,
        pattern=r"^\+?[1-9]\d{9,14}$",
        examples=["+1234567890"],
    )
    date_of_birth: datetime = Field(..., description="Student's birth date")
    grade_level: int = Field(..., ge=1, le=12, examples=[9])
    enrollment_date: datetime = Field(default_factory=datetime.utcnow)

    model_config = ConfigDict(
        json_schema_extra={
            "examples": [
                {
                    "first_name": "John",
                    "last_name": "Doe",
                    "email": "john.doe@school.edu",
                    "date_of_birth": "2008-05-15T00:00:00Z",
                    "grade_level": 9,
                }
            ]
        }
    )


class StudentUpdate(BaseModel):
    """Payload for updating a student. All fields optional."""

    first_name: Optional[str] = Field(None, min_length=1, max_length=100)
    last_name: Optional[str] = Field(None, min_length=1, max_length=100)
    email: Optional[EmailStr] = None
    phone: Optional[str] = Field(None, pattern=r"^\+?[1-9]\d{9,14}$")
    grade_level: Optional[int] = Field(None, ge=1, le=12)
    is_active: Optional[bool] = None


# === OUTPUT Models (Response) ===

class StudentOut(BaseModel):
    """Response model for student data."""

    id: int
    first_name: str
    last_name: str
    email: str
    phone: Optional[str] = None
    date_of_birth: datetime
    grade_level: int
    enrollment_date: datetime
    is_active: bool
    created_at: datetime
    updated_at: datetime

    model_config = ConfigDict(from_attributes=True)


class StudentWithFees(StudentOut):
    """Student with nested fee information."""

    fees: list["FeeOut"] = []

Custom Validators

# backend/app/schemas/student.py (continued)
from pydantic import field_validator, model_validator
from datetime import date


class StudentCreate(BaseModel):
    # ... fields as above

    @field_validator("date_of_birth", mode="before")
    @classmethod
    def parse_date_of_birth(cls, v):
        if isinstance(v, str):
            return datetime.fromisoformat(v.replace("Z", "+00:00"))
        return v

    @model_validator(mode="after")
    def validate_age_range(self):
        """Ensure student is a reasonable age for school."""
        dob = self.date_of_birth
        if isinstance(dob, datetime):
            dob = dob.date()

        today = date.today()
        age = today.year - dob.year - ((today.month, today.day) < (dob.month, dob.day))

        if age < 5:
            raise ValueError("Student must be at least 5 years old")
        if age > 25:
            raise ValueError("Age seems unreasonable for school enrollment")
        return self

Common Schemas

# backend/app/schemas/common.py
from typing import Generic, TypeVar, Optional, List
from pydantic import BaseModel, Field


T = TypeVar("T")


class PaginationParams(BaseModel):
    """Standard pagination parameters."""

    skip: int = Field(0, ge=0, description="Number of records to skip")
    limit: int = Field(100, ge=1, le=1000, description="Max records to return")


class PaginatedResponse(BaseModel, Generic[T]):
    """Standard paginated response wrapper."""

    data: List[T]
    total: int = Field(..., description="Total count of records")
    skip: int
    limit: int
    has_more: bool = Field(..., description="Whether more records exist")


class ErrorDetail(BaseModel):
    """Detailed validation error."""

    field: str = Field(..., examples=["email"])
    message: str = Field(..., examples=["Invalid email format"])
    code: str = Field(..., examples=["value_error"])


class ValidationErrorResponse(BaseModel):
    """Standard validation error response."""

    error: dict = Field(..., description="Error details")
    details: Optional[List[ErrorDetail]] = None


# === Search & Filter ===

class SearchParams(BaseModel):
    """Standard search parameters."""

    query: Optional[str] = Field(None, min_length=1, max_length=200)
    sort_by: str = Field("created_at")
    sort_order: str = Field("desc", pattern="^(asc|desc)$")

Frontend: Zod Schemas

Basic Schemas

// frontend/lib/schemas/student.schema.ts
import { z } from "zod";

// === CONSTANTS (shared with backend) ===
const NAME_MIN_LENGTH = 1;
const NAME_MAX_LENGTH = 100;
const PHONE_REGEX = /^\+?[1-9]\d{9,14}$/;
const GRADE_MIN = 1;
const GRADE_MAX = 12;

// === CREATE SCHEMA ===
export const studentCreateSchema = z.object({
  first_name: z
    .string()
    .min(NAME_MIN_LENGTH, { message: "First name is required" })
    .max(NAME_MAX_LENGTH, { message: "Maximum 100 characters allowed" })
    .trim(),

  last_name: z
    .string()
    .min(NAME_MIN_LENGTH, { message: "Last name is required" })
    .max(NAME_MAX_LENGTH, { message: "Maximum 100 characters allowed" })
    .trim(),

  email: z.string().email({ message: "Invalid email address" }),

  phone: z
    .string()
    .regex(PHONE_REGEX, { message: "Invalid phone number format" })
    .optional()
    .or(z.literal("")),

  date_of_birth: z.string().datetime({ message: "Invalid date format" }),

  grade_level: z
    .number()
    .int()
    .min(GRADE_MIN, { message: `Grade must be at least ${GRADE_MIN}` })
    .max(GRADE_MAX, { message: `Grade cannot exceed ${GRADE_MAX}` }),
});

// === UPDATE SCHEMA (partial) ===
export const studentUpdateSchema = studentCreateSchema.partial();

// === OUTPUT/RESPONSE SCHEMA ===
export const studentOutSchema = z.object({
  id: z.number(),
  first_name: z.string(),
  last_name: z.string(),
  email: z.string().email(),
  phone: z.string().nullable(),
  date_of_birth: z.string().datetime(),
  grade_level: z.number().int().min(GRADE_MIN).max(GRADE_MAX),
  enrollment_date: z.string().datetime(),
  is_active: z.boolean(),
  created_at: z.string().datetime(),
  updated_at: z.string().datetime(),
});

// === INFERRED TYPES ===
export type StudentCreateInput = z.infer<typeof studentCreateSchema>;
export type StudentUpdateInput = z.infer<typeof studentUpdateSchema>;
export type StudentOutput = z.infer<typeof studentOutSchema>;

Advanced Zod Patterns

// frontend/lib/schemas/student.schema.ts (continued)
import { date, string } from "zod";

// === CROSS-FIELD VALIDATION ===
export const studentCreateSchema = z
  .obje