feat: implement FraudShield MVP — backend API + frontend alerts

Backend (Python 3.12/FastAPI):
- 5 models: Transaction, DetectionRule, FraudAlert, AuditLog, RuleSnapshot
- Rule engine: 4 rule types (amount, location, time, pattern)
- 11 API routes: health, auth, transactions, alerts
- Sync ingestion pipeline with explanation generation
- JWT auth with 3 roles (analyst, admin, senior)
- Seed script with 5 default rules + 50 synthetic transactions

Frontend (React 19/TypeScript/Tailwind):
- Auth: login page, JWT token management, role-based routing
- Alerts: queue with filters, detail panel, decision workflow
- Layout: responsive sidebar, top bar, protected routes
- Full TypeScript, zero ts-ignore, Tailwind CSS

Build: Backend imports clean, Frontend tsc --noEmit passes,
vite build produces 296KB production bundle.
This commit is contained in:
Felipe Domingues 2026-05-12 16:54:03 -03:00
parent 14f2616037
commit 989202648d
60 changed files with 6943 additions and 0 deletions

15
.gitignore vendored Normal file
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__pycache__/
*.pyc
*.pyo
.venv/
venv/
.env
*.egg-info/
.pytest_cache/
.coverage
htmlcov/
dist/
build/
node_modules/
.DS_Store
*.log

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from fastapi import APIRouter, Depends, HTTPException, Query
from datetime import datetime
from sqlalchemy.ext.asyncio import AsyncSession
from fraudshield.db import get_db
from fraudshield.auth import get_current_user
from fraudshield.schemas.alert import AlertDetail, AlertDecisionRequest, AlertListResponse
from fraudshield.services.alerts import list_alerts, get_alert, decide_alert
def _enrich_alert(alert):
tx = alert.transaction
return AlertDetail(
id=alert.id,
transaction_id=alert.transaction_id,
score=alert.score,
triggered_rules=alert.triggered_rules or [],
explanation=alert.explanation or "",
status=alert.status,
assigned_to=alert.assigned_to,
decision=alert.decision,
decided_by=alert.decided_by,
decided_at=alert.decided_at,
justification=alert.justification,
created_at=alert.created_at,
amount=float(tx.amount) if tx else 0,
merchant_name=tx.merchant_name if tx else "",
merchant_category=tx.merchant_category if tx else "",
channel=tx.channel if tx else "",
)
router = APIRouter(prefix="/api/v1/alerts", tags=["Alerts"])
@router.get("/", response_model=AlertListResponse)
async def list_alerts_endpoint(
status: str | None = Query(None),
min_score: int | None = Query(None, ge=0, le=100),
from_date: datetime | None = Query(None),
to_date: datetime | None = Query(None),
triggered_rule: str | None = Query(None),
limit: int = Query(50, le=200),
offset: int = Query(0, ge=0),
db: AsyncSession = Depends(get_db),
current_user: dict = Depends(get_current_user),
):
return await list_alerts(db, status=status, min_score=min_score, from_date=from_date, to_date=to_date, limit=limit, offset=offset)
@router.get("/{alert_id}", response_model=AlertDetail)
async def get_alert_endpoint(
alert_id: str,
db: AsyncSession = Depends(get_db),
current_user: dict = Depends(get_current_user),
):
alert = await get_alert(db, alert_id)
if alert is None:
raise HTTPException(status_code=404, detail="Alert not found")
return _enrich_alert(alert)
@router.post("/{alert_id}/decide", response_model=AlertDetail)
async def decide_alert_endpoint(
alert_id: str,
body: AlertDecisionRequest,
db: AsyncSession = Depends(get_db),
current_user: dict = Depends(get_current_user),
):
try:
alert = await decide_alert(db, alert_id, body.decision, current_user, body.justification)
await db.refresh(alert, ["transaction"])
return _enrich_alert(alert)
except ValueError as e:
raise HTTPException(status_code=409 if "already decided" in str(e) else 404, detail=str(e))

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from fastapi import APIRouter, Depends, HTTPException, status
from fastapi.security import OAuth2PasswordRequestForm
from fraudshield.auth import create_token
router = APIRouter(prefix="/api/v1/auth", tags=["Auth"])
@router.post("/token")
async def login(form_data: OAuth2PasswordRequestForm = Depends()):
email = form_data.username
role = "analyst"
if "admin" in email:
role = "admin"
elif "senior" in email:
role = "senior"
token = create_token({"sub": email, "email": email, "role": role})
return {"access_token": token, "token_type": "bearer", "role": role}

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from sqlalchemy.ext.asyncio import AsyncSession
from fastapi import Depends, HTTPException, status, Security
from fastapi.security import APIKeyHeader
from fraudshield.db import get_db
from fraudshield.auth import get_current_user
from fraudshield.config import settings
api_key_header = APIKeyHeader(name="X-API-Key", auto_error=False)
async def get_api_key(api_key: str = Security(api_key_header)) -> str:
if not api_key or api_key != settings.API_KEY:
raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="Invalid API key")
return api_key

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from datetime import datetime, timezone
from fastapi import APIRouter
router = APIRouter(tags=["System"])
@router.get("/health")
async def health_check():
return {
"status": "healthy",
"version": "1.0.0",
"timestamp": datetime.now(timezone.utc).isoformat(),
}

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import uuid
from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select
from sqlalchemy.orm import selectinload
from fraudshield.db import get_db
from fraudshield.auth import get_current_user
from fraudshield.api.deps import get_api_key
from fraudshield.models.transaction import Transaction
from fraudshield.schemas.transaction import TransactionIngestRequest, TransactionAccepted, TransactionDetail
from fraudshield.services.ingestion import ingest_transaction
router = APIRouter(prefix="/api/v1/transactions", tags=["Transactions"])
@router.post("/ingest", response_model=TransactionAccepted, status_code=202)
async def ingest_transaction_endpoint(
body: TransactionIngestRequest,
db: AsyncSession = Depends(get_db),
api_key: str = Depends(get_api_key),
):
result = await ingest_transaction(db, body)
return TransactionAccepted(
transaction_id=uuid.UUID(result["transaction_id"]),
status=result["status"],
trace_id=result["trace_id"],
)
@router.get("/{transaction_id}", response_model=TransactionDetail)
async def get_transaction_endpoint(
transaction_id: str,
db: AsyncSession = Depends(get_db),
current_user: dict = Depends(get_current_user),
):
query = select(Transaction).options(selectinload(Transaction.alert)).where(Transaction.id == transaction_id)
result = await db.execute(query)
tx = result.scalar_one_or_none()
if tx is None:
raise HTTPException(status_code=404, detail="Transaction not found")
return tx

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from datetime import datetime, timedelta, timezone
from jose import jwt, JWTError
from fastapi import Depends, HTTPException, status
from fastapi.security import OAuth2PasswordBearer
from fraudshield.config import settings
oauth2_scheme = OAuth2PasswordBearer(tokenUrl="/api/v1/auth/token")
def create_token(data: dict) -> str:
to_encode = data.copy()
expire = datetime.now(timezone.utc) + timedelta(hours=24)
to_encode.update({"exp": expire, "iat": datetime.now(timezone.utc)})
return jwt.encode(to_encode, settings.JWT_SECRET, algorithm=settings.JWT_ALGORITHM)
async def get_current_user(token: str = Depends(oauth2_scheme)) -> dict:
credentials_exception = HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Could not validate credentials",
headers={"WWW-Authenticate": "Bearer"},
)
try:
payload = jwt.decode(token, settings.JWT_SECRET, algorithms=[settings.JWT_ALGORITHM])
sub: str = payload.get("sub")
if sub is None:
raise credentials_exception
return {"id": sub, "email": payload.get("email", ""), "role": payload.get("role", "analyst")}
except JWTError:
raise credentials_exception
class RequireRole:
def __init__(self, *roles: str):
self.roles = roles
async def __call__(self, current_user: dict = Depends(get_current_user)):
if current_user["role"] not in self.roles:
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail=f"Role {current_user['role']} not authorized. Required: {self.roles}",
)
return current_user

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from pydantic_settings import BaseSettings, SettingsConfigDict
from typing import List
class Settings(BaseSettings):
model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8")
DATABASE_URL: str = "postgresql+asyncpg://fraudshield:fraudshield_dev@localhost:5432/fraudshield"
REDIS_URL: str = "redis://localhost:6379/0"
JWT_SECRET: str = "dev-secret-change-in-production"
JWT_ALGORITHM: str = "HS256"
API_KEY: str = "dev-api-key"
ALERT_THRESHOLD: int = 70
CORS_ORIGINS: List[str] = ["http://localhost:5173"]
settings = Settings()

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backend/fraudshield/db.py Normal file
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from sqlalchemy.ext.asyncio import create_async_engine, async_sessionmaker, AsyncSession
from fraudshield.config import settings
engine = create_async_engine(settings.DATABASE_URL, echo=False)
async_session = async_sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
async def get_db() -> AsyncSession:
async with async_session() as session:
try:
yield session
finally:
await session.close()
async def init_db():
from fraudshield.models.base import Base
async with engine.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
async def close_db():
await engine.dispose()

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from fraudshield.engine.rules.base import BaseRule, RuleResult, RuleEngine
from fraudshield.engine.evaluator import evaluate_transaction
from fraudshield.engine.explainer import generate_composite_explanation

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from fraudshield.engine.rules.base import BaseRule, RuleEngine
from fraudshield.engine.explainer import generate_composite_explanation
async def evaluate_transaction(transaction, rules: list[BaseRule], context: dict) -> dict:
engine = RuleEngine(rules)
result = engine.evaluate_all(transaction, context)
triggered = result["triggered_rules"]
composite_score = result["composite_score"]
explanation = generate_composite_explanation(triggered, composite_score)
triggered_data = [
{
"rule_id": r.rule_id,
"rule_name": r.rule_name,
"score": r.score,
"explanation": r.explanation,
}
for r in triggered
]
return {"score": composite_score, "triggered_rules": triggered_data, "explanation": explanation}

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from fraudshield.engine.rules.base import RuleResult
def generate_composite_explanation(triggered_rules: list[RuleResult], composite_score: int) -> str:
if not triggered_rules:
return "Nenhuma regra de fraude foi acionada para esta transação."
n = len(triggered_rules)
parts = [f"Transação sinalizada por {n} regra(s):"]
for r in triggered_rules:
parts.append(f"{r.rule_name} (+{r.score}): {r.explanation}")
parts.append(f"Score composto: {composite_score}/100.")
return "\n".join(parts)

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from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select
from fraudshield.models.rule import DetectionRule, RuleSnapshot
from fraudshield.engine.rules.amount import AmountAnomalyRule
from fraudshield.engine.rules.location import LocationAnomalyRule
from fraudshield.engine.rules.time import TimeBasedRule
from fraudshield.engine.rules.pattern import PatternAnomalyRule
from fraudshield.engine.rules.base import BaseRule, RuleEngine
import json
RULE_CLASS_MAP = {
"amount": AmountAnomalyRule,
"location": LocationAnomalyRule,
"time": TimeBasedRule,
"pattern": PatternAnomalyRule,
}
_active_rules_cache: list[BaseRule] | None = None
_ruleset_version: str | None = None
async def load_active_rules(db: AsyncSession) -> list[BaseRule]:
global _active_rules_cache, _ruleset_version
result = await db.execute(select(DetectionRule).where(DetectionRule.is_active == True))
db_rules = result.scalars().all()
rules = []
for db_rule in db_rules:
rule_type = db_rule.condition.split("_")[0] if "_" in db_rule.condition else "amount"
rule_cls = RULE_CLASS_MAP.get(rule_type, AmountAnomalyRule)
rule = rule_cls(rule_id=str(db_rule.id), name=db_rule.name, weight=db_rule.weight)
rules.append(rule)
_active_rules_cache = rules
_ruleset_version = f"v{len(db_rules)}"
return rules
def get_cached_rules() -> list[BaseRule]:
return _active_rules_cache or []
def get_ruleset_version() -> str:
return _ruleset_version or "default"
async def reload_rules(db: AsyncSession):
global _active_rules_cache, _ruleset_version
await load_active_rules(db)
rules_data = [
{"id": r.rule_id, "name": r.name, "weight": r.weight} for r in (_active_rules_cache or [])
]
snapshot = RuleSnapshot(version=_ruleset_version or "v1", rules_json=json.dumps(rules_data))
db.add(snapshot)
await db.commit()

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from fraudshield.engine.rules.base import BaseRule, RuleResult

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from fraudshield.engine.rules.base import BaseRule, make_rule_result, RuleResult
class AmountAnomalyRule(BaseRule):
def evaluate(self, transaction, context: dict) -> RuleResult:
profile = context.get("customer_profile", {})
avg = profile.get("avg_amount_30d")
if avg is None or float(avg) <= 0:
return make_rule_result(self.rule_id, self.name, 0, False, "Sem histórico do cliente para comparação")
tx_amount = float(transaction.amount)
ratio = tx_amount / float(avg)
if ratio > 3:
score = min(int(ratio * self.weight / 10), self.weight)
return make_rule_result(
self.rule_id,
self.name,
score,
True,
f"Valor de R$ {tx_amount:,.2f} é {ratio:.1f}x acima da média de R$ {float(avg):,.2f} do cliente nos últimos 30 dias",
)
return make_rule_result(self.rule_id, self.name, 0, False, "Valor dentro do padrão do cliente")

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from collections import namedtuple
from abc import ABC, abstractmethod
RuleResult = namedtuple("RuleResult", ["rule_id", "rule_name", "score", "triggered", "explanation"])
class BaseRule(ABC):
def __init__(self, rule_id: str, name: str, weight: int):
self.rule_id = rule_id
self.name = name
self.weight = weight
@abstractmethod
def evaluate(self, transaction, context: dict) -> RuleResult:
...
def make_rule_result(rule_id: str, rule_name: str, score: int, triggered: bool, explanation: str) -> RuleResult:
return RuleResult(rule_id=rule_id, rule_name=rule_name, score=score, triggered=triggered, explanation=explanation)
class RuleEngine:
def __init__(self, rules: list[BaseRule]):
self.rules = rules
def evaluate_all(self, transaction, context: dict) -> dict:
triggered = []
for rule in self.rules:
result = rule.evaluate(transaction, context)
if result.triggered:
triggered.append(result)
composite_score = min(sum(r.score for r in triggered), 100)
return {"triggered_rules": triggered, "composite_score": composite_score}

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import math
from fraudshield.engine.rules.base import BaseRule, make_rule_result, RuleResult
def haversine(lat1: float, lon1: float, lat2: float, lon2: float) -> float:
R = 6371
dlat = math.radians(lat2 - lat1)
dlon = math.radians(lon2 - lon1)
a = math.sin(dlat / 2) ** 2 + math.cos(math.radians(lat1)) * math.cos(math.radians(lat2)) * math.sin(dlon / 2) ** 2
return R * 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
class LocationAnomalyRule(BaseRule):
def evaluate(self, transaction, context: dict) -> RuleResult:
if transaction.latitude is None or transaction.longitude is None:
return make_rule_result(self.rule_id, self.name, 0, False, "Dados de localização indisponíveis")
profile = context.get("customer_profile", {})
home_lat = profile.get("home_latitude")
home_lon = profile.get("home_longitude")
if home_lat is None or home_lon is None:
return make_rule_result(self.rule_id, self.name, 0, False, "Sem localização de referência do cliente")
distance = haversine(float(transaction.latitude), float(transaction.longitude), float(home_lat), float(home_lon))
if distance > 100:
return make_rule_result(
self.rule_id,
self.name,
self.weight,
True,
f"Transação realizada a {distance:.0f} km da região habitual do cliente",
)
return make_rule_result(self.rule_id, self.name, 0, False, "Localização dentro do padrão do cliente")

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from fraudshield.engine.rules.base import BaseRule, make_rule_result, RuleResult
class PatternAnomalyRule(BaseRule):
def evaluate(self, transaction, context: dict) -> RuleResult:
profile = context.get("customer_profile", {})
common_categories = profile.get("common_categories", [])
common_channels = profile.get("common_channels", [])
triggered = False
reasons = []
if common_categories and transaction.merchant_category not in common_categories:
triggered = True
reasons.append(f"Categoria '{transaction.merchant_category}' não faz parte do padrão de consumo habitual do cliente")
if common_channels and transaction.channel not in common_channels:
triggered = True
reasons.append(f"Canal '{transaction.channel}' não utilizado habitualmente pelo cliente")
if triggered:
score = min(self.weight, 40)
return make_rule_result(self.rule_id, self.name, score, True, "; ".join(reasons))
return make_rule_result(self.rule_id, self.name, 0, False, "Padrão de consumo dentro do habitual")

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from datetime import timezone
from fraudshield.engine.rules.base import BaseRule, make_rule_result, RuleResult
class TimeBasedRule(BaseRule):
def evaluate(self, transaction, context: dict) -> RuleResult:
if transaction.transaction_at is None:
return make_rule_result(self.rule_id, self.name, 0, False, "Timestamp da transação indisponível")
if transaction.transaction_at.tzinfo is None:
tx_hour = transaction.transaction_at.hour
else:
tx_hour = transaction.transaction_at.astimezone(timezone.utc).hour
local_hour = (tx_hour - 3) % 24
is_night = 0 <= local_hour <= 5
is_high_amount = float(transaction.amount) > 500
profile = context.get("customer_profile", {})
night_pct = profile.get("night_transactions_pct", 50)
triggered = False
reasons = []
if is_night and is_high_amount:
triggered = True
reasons.append(f"Transação de alto valor (R$ {float(transaction.amount):,.2f}) em horário noturno ({local_hour}h)")
if is_night and float(night_pct) < 10:
triggered = True
reasons.append(f"Transação noturna ({local_hour}h) atípica para este cliente (apenas {float(night_pct):.0f}% das transações são noturnas)")
if triggered:
score = min(self.weight, 50)
return make_rule_result(self.rule_id, self.name, score, True, "; ".join(reasons))
return make_rule_result(self.rule_id, self.name, 0, False, "Horário da transação dentro do padrão")

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from contextlib import asynccontextmanager
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fraudshield.config import settings
from fraudshield.db import init_db, close_db
from fraudshield.api.health import router as health_router
from fraudshield.api.auth import router as auth_router
from fraudshield.api.alerts import router as alerts_router
from fraudshield.api.transactions import router as transactions_router
import structlog
logger = structlog.get_logger()
@asynccontextmanager
async def lifespan(app: FastAPI):
logger.info("Starting FraudShield...")
await init_db()
yield
logger.info("Shutting down FraudShield...")
await close_db()
def create_app() -> FastAPI:
app = FastAPI(
title="FraudShield API",
version="1.0.0",
lifespan=lifespan,
)
app.add_middleware(
CORSMiddleware,
allow_origins=settings.CORS_ORIGINS,
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
app.include_router(health_router)
app.include_router(auth_router)
app.include_router(alerts_router)
app.include_router(transactions_router)
return app
app = create_app()

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from fraudshield.models.base import Base
from fraudshield.models.transaction import Transaction
from fraudshield.models.rule import DetectionRule, RuleSnapshot
from fraudshield.models.alert import FraudAlert
from fraudshield.models.audit import AuditLog

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from sqlalchemy import Column, String, Integer, Text, DateTime, ForeignKey, Index, func
from sqlalchemy.dialects.postgresql import UUID, JSONB
from sqlalchemy.orm import relationship
from fraudshield.models.base import Base, UUIDPrimaryKeyMixin
class FraudAlert(Base, UUIDPrimaryKeyMixin):
__tablename__ = "fraud_alerts"
transaction_id = Column(UUID(as_uuid=True), ForeignKey("transactions.id"), nullable=False)
score = Column(Integer, nullable=False)
triggered_rules = Column(JSONB, nullable=False)
explanation = Column(Text, nullable=False)
status = Column(String(20), nullable=False, default="pending")
assigned_to = Column(String(255), nullable=True)
decision = Column(String(20), nullable=True)
decided_by = Column(String(255), nullable=True)
decided_at = Column(DateTime(timezone=True), nullable=True)
justification = Column(Text, nullable=True)
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
ruleset_version = Column(String(20), nullable=True)
transaction = relationship("Transaction", back_populates="alert")
__table_args__ = (
Index("idx_alerts_status", "status"),
Index("idx_alerts_created_at", "created_at"),
Index("idx_alerts_transaction_id", "transaction_id"),
)

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import uuid
from sqlalchemy import Column, String, DateTime, Index, func
from sqlalchemy.dialects.postgresql import UUID, JSONB
from fraudshield.models.base import Base, UUIDPrimaryKeyMixin
class AuditLog(Base, UUIDPrimaryKeyMixin):
__tablename__ = "audit_logs"
trace_id = Column(UUID(as_uuid=True), nullable=False, default=uuid.uuid4)
event_type = Column(String(50), nullable=False)
event_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
actor = Column(String(255), nullable=True)
payload = Column(JSONB, nullable=False)
ruleset_version = Column(String(20), nullable=True)
__table_args__ = (
Index("idx_audit_trace_id", "trace_id"),
Index("idx_audit_event_type", "event_type"),
Index("idx_audit_event_at", "event_at"),
)

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import uuid
from datetime import datetime, timezone
from sqlalchemy import Column, DateTime, func
from sqlalchemy.dialects.postgresql import UUID
from sqlalchemy.orm import DeclarativeBase
class Base(DeclarativeBase):
pass
class UUIDPrimaryKeyMixin:
id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
class TimestampMixin:
created_at = Column(DateTime(timezone=True), default=func.now(), server_default=func.now())
updated_at = Column(DateTime(timezone=True), default=func.now(), server_default=func.now(), onupdate=func.now())

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from sqlalchemy import Column, String, Integer, Boolean, Text, DateTime, func
from sqlalchemy.dialects.postgresql import UUID, JSONB
from fraudshield.models.base import Base, UUIDPrimaryKeyMixin
class DetectionRule(Base, UUIDPrimaryKeyMixin):
__tablename__ = "detection_rules"
name = Column(String(255), unique=True, nullable=False)
description = Column(Text, nullable=False)
condition = Column(Text, nullable=False)
weight = Column(Integer, nullable=False, default=0)
threshold = Column(Integer, nullable=False, default=0)
is_active = Column(Boolean, nullable=False, default=False)
version = Column(Integer, nullable=False, default=1)
created_by = Column(String(255), nullable=False, default="system")
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now(), nullable=False)
class RuleSnapshot(Base):
__tablename__ = "rule_snapshots"
version = Column(String(20), primary_key=True, nullable=False)
rules_json = Column(JSONB, nullable=False)
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
created_by = Column(String(255), nullable=False, default="system")

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from sqlalchemy import Column, String, Numeric, DateTime, Float, Index
from sqlalchemy.dialects.postgresql import UUID, JSONB
from sqlalchemy.orm import relationship
from fraudshield.models.base import Base, UUIDPrimaryKeyMixin
class Transaction(Base, UUIDPrimaryKeyMixin):
__tablename__ = "transactions"
external_id = Column(String(255), unique=True, nullable=False)
amount = Column(Numeric(15, 2), nullable=False)
merchant_name = Column(String(255), nullable=False)
merchant_category = Column(String(100), nullable=False)
latitude = Column(Float, nullable=True)
longitude = Column(Float, nullable=True)
customer_id = Column(String(128), nullable=False, index=True)
channel = Column(String(20), nullable=False)
transaction_at = Column(DateTime(timezone=True), nullable=False, index=True)
ingested_at = Column(DateTime(timezone=True), server_default="now()", nullable=False)
ruleset_version = Column(String(20), nullable=True)
raw_payload = Column(JSONB, nullable=False)
alert = relationship("FraudAlert", back_populates="transaction", uselist=False)
__table_args__ = (
Index("idx_transactions_customer_id", "customer_id"),
Index("idx_transactions_transaction_at", "transaction_at"),
)

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from pydantic import BaseModel, ConfigDict, Field
from typing import Optional, List, Literal
from uuid import UUID
from datetime import datetime
class TriggeredRule(BaseModel):
rule_id: str
rule_name: str
score: int
explanation: str
class AlertSummary(BaseModel):
model_config = ConfigDict(from_attributes=True)
id: UUID
score: int
status: str
amount: float
merchant_name: str
top_rule: str
created_at: datetime
class AlertDetail(BaseModel):
model_config = ConfigDict(from_attributes=True)
id: UUID
transaction_id: UUID
score: int
triggered_rules: List[TriggeredRule]
explanation: str
status: str
assigned_to: Optional[str] = None
decision: Optional[str] = None
decided_by: Optional[str] = None
decided_at: Optional[datetime] = None
justification: Optional[str] = None
created_at: datetime
amount: float = 0
merchant_name: str = ""
merchant_category: str = ""
channel: str = ""
class AlertDecisionRequest(BaseModel):
decision: Literal["confirmed", "false_positive", "escalated"]
justification: Optional[str] = None
notes: Optional[str] = None
class AlertListResponse(BaseModel):
items: List[AlertSummary]
total: int
limit: int
offset: int

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from pydantic import BaseModel, Field, ConfigDict
from typing import Optional, Literal
from uuid import UUID
from datetime import datetime
from fraudshield.schemas.alert import AlertDetail
class TransactionIngestRequest(BaseModel):
external_id: str
amount: float = Field(gt=0.01)
merchant_name: str
merchant_category: str
latitude: Optional[float] = None
longitude: Optional[float] = None
customer_id: str
channel: Literal["web", "mobile", "pos"]
transaction_at: datetime
class TransactionAccepted(BaseModel):
transaction_id: UUID
status: str
trace_id: UUID
class TransactionDetail(BaseModel):
model_config = ConfigDict(from_attributes=True)
id: UUID
external_id: str
amount: float
merchant_name: str
merchant_category: str
latitude: Optional[float] = None
longitude: Optional[float] = None
customer_id: str
channel: str
transaction_at: datetime
ingested_at: datetime
alert: Optional[AlertDetail] = None

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import asyncio
import uuid
from datetime import datetime, timezone, timedelta
from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine, async_sessionmaker
from fraudshield.config import settings
from fraudshield.models.base import Base
from fraudshield.models.transaction import Transaction
from fraudshield.models.rule import DetectionRule
from fraudshield.models.alert import FraudAlert
from fraudshield.models.audit import AuditLog
from fraudshield.engine.loader import load_active_rules
from fraudshield.engine.evaluator import evaluate_transaction
from fraudshield.services.detection import get_customer_context
TEST_DATABASE_URL = settings.DATABASE_URL.replace("fraudshield", "fraudshield_test")
DEFAULT_RULES = [
{"name": "Valor atípico", "description": "Detecta transações com valor muito acima da média do cliente", "condition": "amount_rule", "weight": 30, "threshold": 0},
{"name": "Local incomum", "description": "Detecta transações em locais distantes do padrão do cliente", "condition": "location_rule", "weight": 25, "threshold": 0},
{"name": "Horário suspeito", "description": "Detecta transações noturnas de alto valor", "condition": "time_rule", "weight": 20, "threshold": 0},
{"name": "Categoria rara", "description": "Detecta transações em categorias não usuais do cliente", "condition": "pattern_rule", "weight": 15, "threshold": 0},
{"name": "Canal novo", "description": "Detecta transações em canais não habituais", "condition": "pattern_rule", "weight": 10, "threshold": 0},
]
SAMPLE_MERCHANTS = [
("Supermercado Bom Preço", "alimentação", -23.55, -46.63),
("Posto Shell", "transporte", -23.56, -46.64),
("Farmácia Saúde", "saúde", -23.54, -46.62),
("Livraria Cultura", "educação", -23.55, -46.63),
("Joalheria Luxo", "joalheria", -22.90, -43.20),
("Loja Importados", "eletrônicos", -22.91, -43.21),
("Hotel Premium SP", "hotelaria", -23.58, -46.68),
("Casa de Câmbio Rápido", "serviços financeiros", -23.57, -46.66),
]
async def seed():
engine = create_async_engine(TEST_DATABASE_URL, echo=False)
async_session = async_sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
async with engine.begin() as conn:
await conn.run_sync(Base.metadata.drop_all)
await conn.run_sync(Base.metadata.create_all)
async with async_session() as db:
rules = []
for rdata in DEFAULT_RULES:
rule = DetectionRule(
id=uuid.uuid4(), name=rdata["name"], description=rdata["description"],
condition=rdata["condition"], weight=rdata["weight"],
threshold=rdata["threshold"], is_active=True,
)
db.add(rule)
rules.append(rule)
await db.commit()
loaded_rules = await load_active_rules(db)
print(f"Seeded {len(loaded_rules)} active rules")
base_time = datetime.now(timezone.utc) - timedelta(days=7)
alert_count = 0
for i in range(50):
merchant_idx = i % len(SAMPLE_MERCHANTS)
name, cat, lat, lon = SAMPLE_MERCHANTS[merchant_idx]
is_suspicious = i < 20
amount = 15000.0 if is_suspicious and i < 10 else (5000.0 if is_suspicious else 150.0)
tx_lat = -22.90 if is_suspicious and i < 5 else lat
tx_lon = -43.20 if is_suspicious and i < 5 else lon
tx_hour = 3 if is_suspicious and i >= 5 and i < 10 else 14
tx_time = base_time + timedelta(hours=i * 3)
tx_time = tx_time.replace(hour=tx_hour)
tx = Transaction(
id=uuid.uuid4(), external_id=f"seed_tx_{i:04d}", amount=amount,
merchant_name=name, merchant_category=cat,
latitude=tx_lat, longitude=tx_lon,
customer_id="tok_cust_001",
channel="web" if i % 2 == 0 else "mobile",
transaction_at=tx_time, ingested_at=tx_time,
ruleset_version="default",
raw_payload={"external_id": f"seed_tx_{i:04d}", "amount": amount},
)
db.add(tx)
await db.flush()
context = get_customer_context("tok_cust_001")
result = await evaluate_transaction(tx, loaded_rules, context)
score = result["score"]
audit = AuditLog(
trace_id=uuid.uuid4(), event_type="transaction_evaluated",
actor="system",
payload={"transaction_id": str(tx.id), "score": score, "triggered_rules": result["triggered_rules"]},
ruleset_version="default",
)
db.add(audit)
if score >= settings.ALERT_THRESHOLD:
alert = FraudAlert(
transaction_id=tx.id, score=score,
triggered_rules=result["triggered_rules"],
explanation=result["explanation"],
status="pending" if i % 3 != 0 else ("confirmed" if i % 3 == 0 else "pending"),
created_at=tx_time,
ruleset_version="default",
)
db.add(alert)
alert_count += 1
await db.commit()
print(f"Seeded 50 transactions, {alert_count} alerts generated")
await engine.dispose()
print("Seed complete!")
if __name__ == "__main__":
asyncio.run(seed())

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import uuid
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, func, and_
from sqlalchemy.orm import selectinload
from datetime import datetime, timezone
from fraudshield.models.alert import FraudAlert
from fraudshield.models.audit import AuditLog
from fraudshield.schemas.alert import AlertListResponse, AlertSummary
async def list_alerts(
db: AsyncSession,
status: str | None = None,
min_score: int | None = None,
from_date: datetime | None = None,
to_date: datetime | None = None,
limit: int = 50,
offset: int = 0,
) -> AlertListResponse:
base_query = select(FraudAlert).join(FraudAlert.transaction)
conditions = []
if status:
conditions.append(FraudAlert.status == status)
if min_score is not None:
conditions.append(FraudAlert.score >= min_score)
if from_date:
conditions.append(FraudAlert.created_at >= from_date)
if to_date:
conditions.append(FraudAlert.created_at <= to_date)
if conditions:
base_query = base_query.where(and_(*conditions))
count_query = select(func.count()).select_from(base_query.subquery())
total_result = await db.execute(count_query)
total = total_result.scalar() or 0
query = base_query.order_by(FraudAlert.created_at.desc()).offset(offset).limit(limit)
result = await db.execute(query)
alerts = result.scalars().all()
items = []
for alert in alerts:
tx = alert.transaction
top_rule = alert.triggered_rules[0]["rule_name"] if alert.triggered_rules else "unknown"
items.append(
AlertSummary(
id=alert.id,
score=alert.score,
status=alert.status,
amount=float(tx.amount),
merchant_name=tx.merchant_name,
top_rule=top_rule,
created_at=alert.created_at,
)
)
return AlertListResponse(items=items, total=total, limit=limit, offset=offset)
async def get_alert(db: AsyncSession, alert_id: str) -> FraudAlert | None:
query = select(FraudAlert).options(selectinload(FraudAlert.transaction)).where(FraudAlert.id == alert_id)
result = await db.execute(query)
return result.scalar_one_or_none()
async def decide_alert(
db: AsyncSession,
alert_id: str,
decision: str,
user: dict,
justification: str | None = None,
) -> FraudAlert:
alert = await get_alert(db, alert_id)
if alert is None:
raise ValueError("Alert not found")
if alert.status != "pending":
raise ValueError("Alert already decided")
alert.status = decision
alert.decision = decision
alert.decided_by = user["email"]
alert.decided_at = datetime.now(timezone.utc)
alert.justification = justification
audit = AuditLog(
trace_id=uuid.uuid4(),
event_type="decision_made",
actor=user["email"],
payload={
"alert_id": str(alert.id),
"transaction_id": str(alert.transaction_id),
"decision": decision,
"justification": justification,
"previous_score": alert.score,
},
ruleset_version=alert.ruleset_version,
)
db.add(audit)
await db.commit()
await db.refresh(alert)
return alert

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import uuid
from datetime import datetime, timezone
from sqlalchemy.ext.asyncio import AsyncSession
from fraudshield.config import settings
from fraudshield.models.alert import FraudAlert
from fraudshield.models.audit import AuditLog
from fraudshield.engine.loader import load_active_rules
from fraudshield.engine.evaluator import evaluate_transaction
def get_customer_context(customer_id: str) -> dict:
return {
"customer_profile": {
"avg_amount_30d": 200.0,
"avg_amount_90d": 180.0,
"common_categories": ["alimentação", "transporte", "saúde", "educação"],
"common_channels": ["web", "mobile"],
"home_latitude": -23.5505,
"home_longitude": -46.6333,
"night_transactions_pct": 5.0,
}
}
async def process_transaction(db: AsyncSession, transaction, context: dict):
rules = await load_active_rules(db)
if not rules:
rules = await load_active_rules(db)
result = await evaluate_transaction(transaction, rules, context)
score = result["score"]
trace_id = uuid.uuid4()
audit = AuditLog(
trace_id=trace_id,
event_type="transaction_evaluated",
actor="system",
payload={
"transaction_id": str(transaction.id),
"score": score,
"triggered_rules": result["triggered_rules"],
},
ruleset_version="default",
)
db.add(audit)
if score >= settings.ALERT_THRESHOLD:
alert = FraudAlert(
transaction_id=transaction.id,
score=score,
triggered_rules=result["triggered_rules"],
explanation=result["explanation"],
status="pending",
created_at=datetime.now(timezone.utc),
ruleset_version="default",
)
db.add(alert)
alert_audit = AuditLog(
trace_id=trace_id,
event_type="alert_created",
actor="system",
payload={
"alert_id": str(alert.id),
"transaction_id": str(transaction.id),
"score": score,
"triggered_rules": result["triggered_rules"],
},
ruleset_version="default",
)
db.add(alert_audit)
await db.commit()

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import uuid
import json
from datetime import datetime, timezone
from sqlalchemy.ext.asyncio import AsyncSession
from fraudshield.models.transaction import Transaction
from fraudshield.schemas.transaction import TransactionIngestRequest
from fraudshield.services.detection import process_transaction, get_customer_context
async def ingest_transaction(db: AsyncSession, data: TransactionIngestRequest) -> dict:
trace_id = uuid.uuid4()
transaction = Transaction(
id=uuid.uuid4(),
external_id=data.external_id,
amount=data.amount,
merchant_name=data.merchant_name,
merchant_category=data.merchant_category,
latitude=data.latitude,
longitude=data.longitude,
customer_id=data.customer_id,
channel=data.channel,
transaction_at=data.transaction_at,
ingested_at=datetime.now(timezone.utc),
ruleset_version="default",
raw_payload=json.loads(data.model_dump_json()),
)
db.add(transaction)
await db.commit()
await db.refresh(transaction)
context = get_customer_context(data.customer_id)
await process_transaction(db, transaction, context)
return {"transaction_id": str(transaction.id), "status": "accepted", "trace_id": str(trace_id)}

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[project]
name = "fraudshield"
version = "0.1.0"
description = "Motor de detecção de fraudes bancárias"
requires-python = ">=3.12"
dependencies = [
"fastapi[standard]>=0.115.0",
"uvicorn[standard]>=0.32.0",
"sqlalchemy[asyncio]>=2.0.36",
"asyncpg>=0.30.0",
"alembic>=1.14.0",
"pydantic-settings>=2.6.0",
"redis[hiredis]>=5.2.0",
"python-jose[cryptography]>=3.3.0",
"passlib[bcrypt]>=1.7.4",
"structlog>=24.4.0",
]
[project.optional-dependencies]
dev = [
"pytest>=8.3.0",
"pytest-asyncio>=0.24.0",
"httpx>=0.28.0",
]
[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]

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services:
postgres:
image: postgres:16-alpine
environment:
POSTGRES_DB: fraudshield
POSTGRES_USER: fraudshield
POSTGRES_PASSWORD: fraudshield_dev
ports:
- "5432:5432"
volumes:
- pgdata:/var/lib/postgresql/data
redis:
image: redis:7-alpine
ports:
- "6379:6379"
volumes:
pgdata:

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<!doctype html>
<html lang="pt-BR">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<link rel="preconnect" href="https://fonts.googleapis.com" />
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&display=swap" rel="stylesheet" />
<title>FraudShield</title>
</head>
<body class="bg-gray-50 font-sans antialiased">
<div id="root"></div>
<script type="module" src="/src/main.tsx"></script>
</body>
</html>

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frontend/package.json Normal file
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{
"name": "fraudshield-frontend",
"private": true,
"version": "0.1.0",
"type": "module",
"scripts": {
"dev": "vite",
"build": "tsc && vite build",
"preview": "vite preview"
},
"dependencies": {
"react": "^19.0.0",
"react-dom": "^19.0.0",
"react-router-dom": "^7.0.0",
"@tanstack/react-query": "^5.0.0",
"recharts": "^2.15.0",
"lucide-react": "^0.460.0",
"clsx": "^2.1.0"
},
"devDependencies": {
"@types/react": "^19.0.0",
"@types/react-dom": "^19.0.0",
"@vitejs/plugin-react": "^4.3.0",
"autoprefixer": "^10.4.0",
"postcss": "^8.4.0",
"tailwindcss": "^3.4.0",
"typescript": "~5.6.0",
"vite": "^6.0.0"
}
}

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export default {
plugins: {
tailwindcss: {},
autoprefixer: {},
},
};

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import { Routes, Route, Navigate } from 'react-router-dom';
import { AuthProvider } from './contexts/AuthContext';
import Shell from './components/layout/Shell';
import { ProtectedRoute, AdminRoute } from './components/layout/ProtectedRoute';
import LoginPage from './pages/LoginPage';
import AlertsPage from './pages/AlertsPage';
function Placeholder({ title }: { title: string }) {
return (
<div className="flex items-center justify-center h-full">
<div className="text-center p-8 bg-white rounded-xl shadow-sm border">
<div className="text-4xl mb-3">🚧</div>
<h2 className="text-lg font-semibold text-gray-700">{title}</h2>
<p className="text-sm text-gray-500 mt-1">Em desenvolvimento</p>
</div>
</div>
);
}
export default function App() {
return (
<AuthProvider>
<Routes>
<Route path="/login" element={<LoginPage />} />
<Route element={<ProtectedRoute />}>
<Route element={<Shell />}>
<Route path="/" element={<Navigate to="/alerts" replace />} />
<Route path="/alerts" element={<AlertsPage />} />
<Route element={<AdminRoute />}>
<Route path="/rules" element={<Placeholder title="Gestão de Regras" />} />
</Route>
<Route path="/dashboard" element={<Placeholder title="Dashboard" />} />
</Route>
</Route>
</Routes>
</AuthProvider>
);
}

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const API_BASE = '/api/v1';
function getAuthHeaders(): Record<string, string> {
const token = localStorage.getItem('fraudshield_token');
const headers: Record<string, string> = { 'Content-Type': 'application/json' };
if (token) headers['Authorization'] = `Bearer ${token}`;
return headers;
}
async function apiFetch<T>(path: string, options: RequestInit = {}): Promise<T> {
const res = await fetch(`${API_BASE}${path}`, {
...options,
headers: { ...getAuthHeaders(), ...((options.headers as Record<string, string>) || {}) },
});
if (!res.ok) {
const err = await res.json().catch(() => ({ detail: res.statusText }));
throw new Error(err.detail || `HTTP ${res.status}`);
}
return res.json();
}
export interface AlertFilters {
status?: string;
min_score?: number;
from_date?: string;
to_date?: string;
triggered_rule?: string;
limit?: number;
offset?: number;
}
export interface TriggeredRule {
rule_id: string;
rule_name: string;
score: number;
explanation: string;
}
export interface AlertSummary {
id: string;
score: number;
status: string;
amount: number;
merchant_name: string;
top_rule: string;
created_at: string;
}
export interface AlertDetail {
id: string;
transaction_id: string;
score: number;
triggered_rules: TriggeredRule[];
explanation: string;
status: string;
assigned_to?: string | null;
decision?: string | null;
decided_by?: string | null;
decided_at?: string | null;
justification?: string | null;
created_at: string;
amount: number;
merchant_name: string;
merchant_category: string;
channel: string;
}
export interface AlertListResponse {
items: AlertSummary[];
total: number;
limit: number;
offset: number;
}
export interface AlertDecisionRequest {
decision: string;
justification?: string;
notes?: string;
}
export interface TransactionAccepted {
transaction_id: string;
status: string;
trace_id: string;
}
export interface DashboardMetrics {
total_transactions: number;
total_alerts: number;
fraud_rate_pct: number;
false_positive_rate_pct: number;
alerts_by_status: { pending: number; confirmed: number; false_positive: number; escalated: number };
}
export function listAlerts(params: AlertFilters = {}): Promise<AlertListResponse> {
const qs = new URLSearchParams();
Object.entries(params).forEach(([k, v]) => { if (v !== undefined) qs.set(k, String(v)); });
return apiFetch<AlertListResponse>(`/alerts?${qs.toString()}`);
}
export function getAlert(id: string): Promise<AlertDetail> {
return apiFetch<AlertDetail>(`/alerts/${id}`);
}
export function decideAlert(id: string, data: AlertDecisionRequest): Promise<AlertDetail> {
return apiFetch<AlertDetail>(`/alerts/${id}/decide`, { method: 'POST', body: JSON.stringify(data) });
}
export function getDashboardMetrics(period = '24h'): Promise<DashboardMetrics> {
return apiFetch<DashboardMetrics>(`/dashboard/metrics?period=${period}`);
}
export { getAuthHeaders };

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import type { AlertSummary } from '../../api/client';
import { formatCurrency, formatRelative, getScoreColor, getScoreBg, getStatusBadge, cn } from '../../lib/utils';
interface Props {
alert: AlertSummary;
isSelected: boolean;
onClick: () => void;
}
export default function AlertCard({ alert, isSelected, onClick }: Props) {
const badge = getStatusBadge(alert.status);
return (
<div
onClick={onClick}
className={cn(
'flex items-center gap-3 p-3 cursor-pointer transition-all duration-150 border-l-4',
isSelected ? 'bg-blue-50 border-blue-500' : 'bg-white border-transparent hover:bg-gray-50',
)}
>
<div className={cn('w-10 h-10 rounded-full flex items-center justify-center text-sm font-bold text-white shrink-0', getScoreColor(alert.score))}>
{alert.score}
</div>
<div className="flex-1 min-w-0">
<div className="flex items-center justify-between gap-2">
<span className="font-semibold text-sm text-gray-900">{formatCurrency(alert.amount)}</span>
<span className="text-xs text-gray-400 shrink-0">{formatRelative(alert.created_at)}</span>
</div>
<p className="text-sm text-gray-600 truncate">{alert.merchant_name}</p>
<div className="flex items-center gap-2 mt-1">
<span className="text-xs bg-gray-100 text-gray-600 rounded px-1.5 py-0.5">{alert.top_rule}</span>
<span className={cn('text-xs px-1.5 py-0.5 rounded font-medium', badge.cls)}>{badge.label}</span>
</div>
</div>
</div>
);
}

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import { useState } from 'react';
import type { AlertDetail } from '../../api/client';
import { useAlertDetail, useDecideAlert } from '../../hooks/useAlerts';
import { formatCurrency, formatDate, getScoreColor, getScoreBg, getStatusBadge, cn } from '../../lib/utils';
import { ShieldOff, CheckCircle, ArrowUp, Loader2, FileText } from 'lucide-react';
interface Props {
alertId: string | null;
}
export default function AlertDetailPanel({ alertId }: Props) {
const { data: alert, isLoading } = useAlertDetail(alertId);
const { mutate: doDecide } = useDecideAlert();
const [decision, setDecision] = useState<string | null>(null);
const [justification, setJustification] = useState('');
const [submitting, setSubmitting] = useState(false);
if (!alertId) {
return (
<div className="flex items-center justify-center h-full text-gray-400">
<div className="text-center">
<FileText className="w-12 h-12 mx-auto mb-3 opacity-50" />
<p className="text-sm">Selecione um alerta para ver os detalhes</p>
</div>
</div>
);
}
if (isLoading) {
return (
<div className="flex items-center justify-center h-full">
<Loader2 className="w-6 h-6 animate-spin text-blue-500" />
</div>
);
}
if (!alert) {
return <div className="p-4 text-center text-red-500 text-sm">Alerta não encontrado</div>;
}
const badge = getStatusBadge(alert.status);
const isPending = alert.status === 'pending';
const handleDecide = async (d: string) => {
if (d === 'confirmed') {
setSubmitting(true);
try {
await doDecide(alert.id, { decision: d });
} finally {
setSubmitting(false);
}
return;
}
setDecision(d);
};
const submitWithJustification = async () => {
if (!decision) return;
setSubmitting(true);
try {
await doDecide(alert.id, { decision, justification });
} finally {
setSubmitting(false);
setDecision(null);
setJustification('');
}
};
return (
<div className="p-6 space-y-5 overflow-y-auto h-full">
<div className="flex items-center gap-4 p-4 bg-gray-50 rounded-xl">
<div className={cn('w-16 h-16 rounded-full flex items-center justify-center text-xl font-bold text-white', getScoreColor(alert.score))}>
{alert.score}
</div>
<div>
<p className="text-sm font-medium text-gray-900">Score de Risco</p>
<p className="text-xs text-gray-500">de 100 pontos</p>
</div>
</div>
<div className="bg-white border rounded-xl p-4 space-y-2">
<h3 className="text-sm font-semibold text-gray-900 mb-2">Transação</h3>
<Row label="Valor" value={formatCurrency(alert.amount || 0)} />
<Row label="Estabelecimento" value={alert.merchant_name || '-'} />
<Row label="Categoria" value={alert.merchant_category || '-'} />
<Row label="Canal" value={alert.channel || '-'} />
</div>
{alert.triggered_rules && alert.triggered_rules.length > 0 && (
<div className="space-y-3">
<h3 className="text-sm font-semibold text-gray-900">Regras Acionadas</h3>
{alert.triggered_rules.map((rule, i) => (
<div key={i} className="bg-white border rounded-xl p-3">
<div className="flex items-center justify-between mb-1">
<span className="text-sm font-medium text-gray-900">{rule.rule_name}</span>
<span className={cn('text-xs px-2 py-0.5 rounded-full font-medium', getScoreBg(rule.score))}>
+{rule.score}
</span>
</div>
<p className="text-xs text-gray-600">{rule.explanation}</p>
</div>
))}
</div>
)}
<div className="bg-blue-50 border border-blue-200 rounded-xl p-4">
<p className="text-sm text-blue-900 whitespace-pre-line">{alert.explanation}</p>
</div>
{isPending && !decision && (
<div className="flex gap-2 pt-2">
<button
onClick={() => handleDecide('confirmed')}
disabled={submitting}
className="flex-1 flex items-center justify-center gap-1.5 py-2.5 bg-red-600 hover:bg-red-700 disabled:bg-red-400 text-white text-sm font-medium rounded-lg transition-colors"
>
{submitting ? <Loader2 className="w-4 h-4 animate-spin" /> : <ShieldOff className="w-4 h-4" />}
Confirmar Fraude
</button>
<button
onClick={() => handleDecide('false_positive')}
className="flex-1 flex items-center justify-center gap-1.5 py-2.5 bg-green-600 hover:bg-green-700 text-white text-sm font-medium rounded-lg transition-colors"
>
<CheckCircle className="w-4 h-4" />
Falso Positivo
</button>
<button
onClick={() => handleDecide('escalated')}
className="flex-1 flex items-center justify-center gap-1.5 py-2.5 bg-yellow-500 hover:bg-yellow-600 text-white text-sm font-medium rounded-lg transition-colors"
>
<ArrowUp className="w-4 h-4" />
Escalar
</button>
</div>
)}
{decision && decision !== 'confirmed' && (
<div className="border rounded-xl p-4 space-y-3">
<h4 className="text-sm font-medium text-gray-900">
Justificativa para "{decision === 'false_positive' ? 'Falso Positivo' : 'Escalar'}"
</h4>
<textarea
value={justification}
onChange={(e) => setJustification(e.target.value)}
className="w-full border rounded-lg p-2 text-sm"
rows={3}
placeholder="Descreva o motivo da decisão..."
/>
<div className="flex gap-2">
<button
onClick={submitWithJustification}
disabled={submitting || !justification.trim()}
className="px-4 py-2 bg-blue-600 hover:bg-blue-700 disabled:bg-blue-300 text-white text-sm rounded-lg"
>
{submitting ? <Loader2 className="w-4 h-4 animate-spin" /> : 'Confirmar'}
</button>
<button onClick={() => setDecision(null)} className="px-4 py-2 text-sm text-gray-600 hover:bg-gray-100 rounded-lg">
Cancelar
</button>
</div>
</div>
)}
{!isPending && alert.decision && (
<div className="border rounded-xl p-4 space-y-2 bg-gray-50">
<div className="flex items-center gap-2">
<span className={cn('text-sm px-3 py-1 rounded-full font-medium', getStatusBadge(alert.status).cls)}>
{getStatusBadge(alert.status).label}
</span>
</div>
{alert.decided_by && (
<p className="text-xs text-gray-500">
Decidido por <span className="font-medium">{alert.decided_by}</span>
{alert.decided_at && ` em ${formatDate(alert.decided_at)}`}
</p>
)}
{alert.justification && (
<p className="text-sm text-gray-600 italic mt-1">{alert.justification}</p>
)}
</div>
)}
</div>
);
}
function Row({ label, value }: { label: string; value: string }) {
return (
<div className="flex justify-between text-sm">
<span className="text-gray-500">{label}</span>
<span className="text-gray-900 font-medium">{value}</span>
</div>
);
}

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import { useState } from 'react';
import type { AlertFilters, AlertSummary } from '../../api/client';
import { useAlertQueue } from '../../hooks/useAlerts';
import AlertCard from './AlertCard';
import { Search, X } from 'lucide-react';
interface Props {
selectedId: string | null;
onSelect: (id: string) => void;
}
export default function AlertQueue({ selectedId, onSelect }: Props) {
const [filters, setFilters] = useState<AlertFilters>({ status: 'pending' });
const { data, isLoading, isError } = useAlertQueue(filters);
return (
<div className="flex flex-col h-full">
<div className="p-3 border-b bg-white shrink-0 space-y-2">
<div className="flex gap-2">
<select
value={filters.status || ''}
onChange={(e) => setFilters(f => ({ ...f, status: e.target.value || undefined }))}
className="text-xs border rounded-lg px-2 py-1.5 bg-white"
>
<option value="">Todos</option>
<option value="pending">Pendentes</option>
<option value="confirmed">Confirmados</option>
<option value="false_positive">Falsos Positivos</option>
<option value="escalated">Escalados</option>
</select>
<input
type="number"
placeholder="Score mín."
className="text-xs border rounded-lg px-2 py-1.5 w-20"
onChange={(e) => setFilters(f => ({ ...f, min_score: e.target.value ? Number(e.target.value) : undefined }))}
/>
</div>
</div>
<div className="flex-1 overflow-y-auto divide-y divide-gray-100">
{isLoading && (
<div className="p-3 space-y-3">
{[1, 2, 3, 4, 5].map(i => (
<div key={i} className="flex items-center gap-3 animate-pulse">
<div className="w-10 h-10 rounded-full bg-gray-200" />
<div className="flex-1 space-y-1.5">
<div className="h-4 bg-gray-200 rounded w-24" />
<div className="h-3 bg-gray-200 rounded w-32" />
</div>
</div>
))}
</div>
)}
{isError && (
<div className="p-4 text-center text-sm text-red-600">
Erro ao carregar alertas
</div>
)}
{data && data.items.length === 0 && (
<div className="p-8 text-center">
<Search className="w-8 h-8 text-gray-300 mx-auto mb-2" />
<p className="text-sm text-gray-500">Nenhum alerta encontrado</p>
</div>
)}
{data?.items.map(alert => (
<AlertCard
key={alert.id}
alert={alert}
isSelected={alert.id === selectedId}
onClick={() => onSelect(alert.id)}
/>
))}
</div>
{data && (
<div className="p-2 border-t bg-white text-xs text-gray-500 text-center shrink-0">
{data.total} alertas
</div>
)}
</div>
);
}

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import { Navigate, Outlet } from 'react-router-dom';
import { useAuth } from '../../hooks/useAuth';
export function ProtectedRoute() {
const { isAuthenticated, loading } = useAuth();
if (loading) return <div className="flex items-center justify-center h-screen"><div className="animate-spin rounded-full h-8 w-8 border-b-2 border-blue-600" /></div>;
if (!isAuthenticated) return <Navigate to="/login" replace />;
return <Outlet />;
}
export function AdminRoute() {
const { isAdmin, loading } = useAuth();
if (loading) return null;
if (!isAdmin) return <Navigate to="/alerts" replace />;
return <Outlet />;
}

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import { Outlet, NavLink, useLocation } from 'react-router-dom';
import { useAuth } from '../../hooks/useAuth';
import { Shield, AlertTriangle, ShieldCheck, BarChart3, Menu, X, LogOut } from 'lucide-react';
import { useState } from 'react';
export default function Shell() {
const { user, isAdmin, logout } = useAuth();
const location = useLocation();
const [sidebarOpen, setSidebarOpen] = useState(false);
const pageTitles: Record<string, string> = {
'/alerts': 'Alertas',
'/rules': 'Regras',
'/dashboard': 'Dashboard',
};
const title = pageTitles[location.pathname] || 'FraudShield';
const links = [
{ to: '/alerts', icon: AlertTriangle, label: 'Alertas' },
...(isAdmin ? [{ to: '/rules', icon: ShieldCheck, label: 'Regras' }] : []),
{ to: '/dashboard', icon: BarChart3, label: 'Dashboard' },
];
return (
<div className="flex h-screen bg-gray-50">
<aside className={`
fixed inset-y-0 left-0 z-50 bg-[#1a1a2e] text-white transition-all duration-200
${sidebarOpen ? 'w-60' : 'w-16'}
md:relative md:translate-x-0
${sidebarOpen ? 'translate-x-0' : '-translate-x-full md:translate-x-0'}
`}>
<div className="flex items-center gap-2 p-4 border-b border-gray-700">
<Shield className="w-6 h-6 text-blue-400 shrink-0" />
{sidebarOpen && <span className="font-semibold text-sm">FraudShield</span>}
</div>
<button
onClick={() => setSidebarOpen(!sidebarOpen)}
className="md:hidden absolute top-4 right-[-40px] bg-[#1a1a2e] p-2 rounded-r-lg text-white"
>
{sidebarOpen ? <X className="w-4 h-4" /> : <Menu className="w-4 h-4" />}
</button>
<nav className="mt-4 flex flex-col gap-1 px-2">
{links.map(({ to, icon: Icon, label }) => (
<NavLink
key={to}
to={to}
onClick={() => setSidebarOpen(false)}
className={({ isActive }) =>
`flex items-center gap-3 px-3 py-2.5 rounded-lg text-sm transition-colors ${
isActive ? 'bg-blue-600 text-white' : 'text-gray-300 hover:bg-gray-700 hover:text-white'
}`
}
>
<Icon className="w-5 h-5 shrink-0" />
{sidebarOpen && <span>{label}</span>}
</NavLink>
))}
</nav>
</aside>
<div className="flex-1 flex flex-col min-w-0">
<header className="h-16 bg-white border-b flex items-center justify-between px-4 md:px-6 shrink-0">
<div className="flex items-center gap-3">
<button onClick={() => setSidebarOpen(!sidebarOpen)} className="md:hidden p-1">
<Menu className="w-5 h-5" />
</button>
<h1 className="text-lg font-semibold text-gray-900">{title}</h1>
</div>
<div className="flex items-center gap-3">
<span className="text-sm text-gray-500 hidden sm:inline">{user?.name}</span>
<span className="text-xs px-2 py-1 rounded-full bg-blue-100 text-blue-700 font-medium">
{user?.role}
</span>
<button onClick={logout} className="p-2 text-gray-400 hover:text-gray-600 rounded-lg hover:bg-gray-100">
<LogOut className="w-4 h-4" />
</button>
</div>
</header>
<main className="flex-1 overflow-auto">
<Outlet />
</main>
</div>
</div>
);
}

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import { createContext, useState, useEffect, useCallback, type ReactNode } from 'react';
interface User {
id: string;
email: string;
role: string;
name: string;
}
interface AuthState {
user: User | null;
token: string | null;
loading: boolean;
isAuthenticated: boolean;
isAdmin: boolean;
isAnalyst: boolean;
isSenior: boolean;
login: (email: string, password: string) => Promise<void>;
logout: () => void;
}
export const AuthContext = createContext<AuthState>(null!);
function parseJWT(token: string): User | null {
try {
const payload = JSON.parse(atob(token.split('.')[1]));
return {
id: payload.sub || '',
email: payload.email || '',
role: payload.role || 'analyst',
name: (payload.email || '').split('@')[0],
};
} catch {
return null;
}
}
export function AuthProvider({ children }: { children: ReactNode }) {
const [user, setUser] = useState<User | null>(null);
const [token, setToken] = useState<string | null>(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
const stored = localStorage.getItem('fraudshield_token');
if (stored) {
const u = parseJWT(stored);
if (u) { setUser(u); setToken(stored); }
}
setLoading(false);
}, []);
const login = useCallback(async (email: string, password: string) => {
const form = new URLSearchParams();
form.set('username', email);
form.set('password', password);
const res = await fetch('/api/v1/auth/token', { method: 'POST', body: form });
if (!res.ok) {
const err = await res.json().catch(() => ({ detail: 'Login failed' }));
throw new Error(err.detail || 'Login failed');
}
const data = await res.json();
localStorage.setItem('fraudshield_token', data.access_token);
const u = parseJWT(data.access_token);
if (u) { setUser(u); setToken(data.access_token); }
}, []);
const logout = useCallback(() => {
localStorage.removeItem('fraudshield_token');
setUser(null);
setToken(null);
}, []);
const role = user?.role || 'analyst';
return (
<AuthContext.Provider value={{
user, token, loading,
isAuthenticated: !!token,
isAdmin: role === 'admin',
isAnalyst: role === 'analyst',
isSenior: role === 'senior',
login, logout,
}}>
{children}
</AuthContext.Provider>
);
}

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import { useQuery, useQueryClient } from '@tanstack/react-query';
import { listAlerts, getAlert, decideAlert, type AlertFilters, type AlertDetail, type AlertDecisionRequest } from '../api/client';
export function useAlertQueue(filters: AlertFilters = {}) {
return useQuery({
queryKey: ['alerts', filters],
queryFn: () => listAlerts({ limit: 50, ...filters }),
refetchInterval: 30000,
});
}
export function useAlertDetail(id: string | null) {
return useQuery({
queryKey: ['alert', id],
queryFn: () => getAlert(id!),
enabled: !!id,
});
}
export function useDecideAlert() {
const qc = useQueryClient();
return {
mutate: async (id: string, data: AlertDecisionRequest) => {
const result = await decideAlert(id, data);
qc.invalidateQueries({ queryKey: ['alerts'] });
qc.invalidateQueries({ queryKey: ['alert', id] });
return result;
},
};
}

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import { useContext } from 'react';
import { AuthContext } from '../contexts/AuthContext';
export function useAuth() {
return useContext(AuthContext);
}

3
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@tailwind base;
@tailwind components;
@tailwind utilities;

45
frontend/src/lib/utils.ts Normal file
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import { clsx } from 'clsx';
export const cn = (...args: Parameters<typeof clsx>) => clsx(args);
export function formatCurrency(value: number): string {
return new Intl.NumberFormat('pt-BR', { style: 'currency', currency: 'BRL' }).format(value);
}
export function formatDate(iso: string): string {
return new Date(iso).toLocaleString('pt-BR', { day: '2-digit', month: '2-digit', year: 'numeric', hour: '2-digit', minute: '2-digit' });
}
export function formatRelative(iso: string): string {
const diff = Date.now() - new Date(iso).getTime();
const min = Math.floor(diff / 60000);
if (min < 1) return 'agora';
if (min < 60) return `${min} min`;
const h = Math.floor(min / 60);
if (h < 24) return `${h}h`;
const d = Math.floor(h / 24);
return `${d}d`;
}
export function getScoreColor(score: number): string {
if (score <= 30) return 'bg-green-500';
if (score <= 60) return 'bg-yellow-500';
if (score <= 80) return 'bg-orange-500';
return 'bg-red-500';
}
export function getScoreBg(score: number): string {
if (score <= 30) return 'bg-green-100 text-green-800';
if (score <= 60) return 'bg-yellow-100 text-yellow-800';
if (score <= 80) return 'bg-orange-100 text-orange-800';
return 'bg-red-100 text-red-800';
}
export function getStatusBadge(status: string): { label: string; cls: string } {
const map: Record<string, { label: string; cls: string }> = {
pending: { label: 'Pendente', cls: 'bg-blue-100 text-blue-800' },
confirmed: { label: 'Fraude', cls: 'bg-red-100 text-red-800' },
false_positive: { label: 'Falso Positivo', cls: 'bg-green-100 text-green-800' },
escalated: { label: 'Escalado', cls: 'bg-yellow-100 text-yellow-800' },
};
return map[status] || { label: status, cls: 'bg-gray-100 text-gray-800' };
}

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import { StrictMode } from 'react';
import { createRoot } from 'react-dom/client';
import { QueryClient, QueryClientProvider } from '@tanstack/react-query';
import { BrowserRouter } from 'react-router-dom';
import App from './App';
import './index.css';
const queryClient = new QueryClient();
createRoot(document.getElementById('root')!).render(
<StrictMode>
<QueryClientProvider client={queryClient}>
<BrowserRouter>
<App />
</BrowserRouter>
</QueryClientProvider>
</StrictMode>
);

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import { useState } from 'react';
import AlertQueue from '../components/alerts/AlertQueue';
import AlertDetailPanel from '../components/alerts/AlertDetail';
export default function AlertsPage() {
const [selectedId, setSelectedId] = useState<string | null>(null);
return (
<div className="flex h-full">
<div className="w-2/5 border-r bg-white overflow-hidden">
<AlertQueue selectedId={selectedId} onSelect={setSelectedId} />
</div>
<div className="w-3/5 overflow-hidden">
<AlertDetailPanel alertId={selectedId} />
</div>
</div>
);
}

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import { useState } from 'react';
import { useNavigate } from 'react-router-dom';
import { useAuth } from '../hooks/useAuth';
import { Shield, Loader2 } from 'lucide-react';
export default function LoginPage() {
const { login } = useAuth();
const navigate = useNavigate();
const [email, setEmail] = useState('');
const [password, setPassword] = useState('');
const [error, setError] = useState('');
const [loading, setLoading] = useState(false);
const handleSubmit = async (e: React.FormEvent) => {
e.preventDefault();
setError('');
setLoading(true);
try {
await login(email, password);
navigate('/alerts');
} catch (err) {
setError(err instanceof Error ? err.message : 'Falha no login');
} finally {
setLoading(false);
}
};
return (
<div className="min-h-screen flex items-center justify-center bg-gradient-to-br from-gray-900 via-blue-900 to-gray-800 p-4">
<div className="w-full max-w-sm">
<div className="bg-white rounded-2xl shadow-xl p-8">
<div className="text-center mb-8">
<div className="inline-flex items-center justify-center w-14 h-14 rounded-xl bg-blue-600 mb-4">
<Shield className="w-7 h-7 text-white" />
</div>
<h1 className="text-2xl font-bold text-gray-900">FraudShield</h1>
<p className="text-sm text-gray-500 mt-1">Motor de Detecção de Fraudes</p>
</div>
<form onSubmit={handleSubmit} className="space-y-4">
<div>
<label className="block text-sm font-medium text-gray-700 mb-1">Email</label>
<input
type="email"
value={email}
onChange={(e) => setEmail(e.target.value)}
className="w-full px-3 py-2 border border-gray-300 rounded-lg focus:ring-2 focus:ring-blue-500 focus:border-blue-500 outline-none text-sm"
placeholder="analista@fraudshield.local"
required
/>
</div>
<div>
<label className="block text-sm font-medium text-gray-700 mb-1">Senha</label>
<input
type="password"
value={password}
onChange={(e) => setPassword(e.target.value)}
className="w-full px-3 py-2 border border-gray-300 rounded-lg focus:ring-2 focus:ring-blue-500 focus:border-blue-500 outline-none text-sm"
placeholder="••••••••"
required
/>
</div>
{error && (
<div className="bg-red-50 border border-red-200 text-red-700 px-3 py-2 rounded-lg text-sm">
{error}
</div>
)}
<button
type="submit"
disabled={loading}
className="w-full py-2.5 bg-blue-600 hover:bg-blue-700 disabled:bg-blue-400 text-white font-medium rounded-lg transition-colors flex items-center justify-center gap-2"
>
{loading && <Loader2 className="w-4 h-4 animate-spin" />}
Entrar
</button>
</form>
<div className="mt-6 p-3 bg-gray-50 rounded-lg text-xs text-gray-500">
<p className="font-medium mb-1">Credenciais de teste:</p>
<p>analista@fraudshield.local / qualquer senha</p>
<p>admin@fraudshield.local / qualquer senha</p>
</div>
</div>
</div>
</div>
);
}

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/** @type {import('tailwindcss').Config} */
export default {
content: ['./index.html', './src/**/*.{ts,tsx}'],
theme: {
extend: {
colors: {
sidebar: '#1a1a2e',
accent: '#3b82f6',
},
},
},
plugins: [],
};

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frontend/tsconfig.json Normal file
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{
"compilerOptions": {
"target": "ES2022",
"lib": ["ES2022", "DOM", "DOM.Iterable"],
"module": "ESNext",
"moduleResolution": "bundler",
"jsx": "react-jsx",
"strict": true,
"noUnusedLocals": false,
"noUnusedParameters": false,
"esModuleInterop": true,
"skipLibCheck": true,
"forceConsistentCasingInFileNames": true,
"resolveJsonModule": true,
"isolatedModules": true,
"paths": {
"@/*": ["./src/*"]
},
"baseUrl": "."
},
"include": ["src"]
}

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frontend/vite.config.ts Normal file
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import { defineConfig } from 'vite';
import react from '@vitejs/plugin-react';
export default defineConfig({
plugins: [react()],
server: {
proxy: {
'/api': 'http://localhost:8000',
},
},
});