hrms-backend

name	hrms-backend
description	Build and maintain the AI Interview Bot FastAPI backend with production best practices. Use when creating API endpoints, services, middleware, Pydantic schemas, or backend configuration.

Interview Bot FastAPI Backend

Application Factory

Always use the factory pattern. Never create app = FastAPI() at module level.

# src/interviewbot/main.py
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from interviewbot.config import get_settings
from interviewbot.routers import health, auth, organizations, job_postings, interviews, reports, billing
from interviewbot.middleware.tenant import TenantMiddleware

def create_app() -> FastAPI:
    settings = get_settings()
    app = FastAPI(
        title="Interview Bot API",
        version="1.0.0",
        docs_url="/api/docs" if settings.debug else None,
    )

    app.add_middleware(
        CORSMiddleware,
        allow_origins=settings.cors_origins,
        allow_credentials=True,
        allow_methods=["GET", "POST", "PUT", "DELETE", "PATCH"],
        allow_headers=["Authorization", "Content-Type"],
    )
    app.add_middleware(TenantMiddleware)

    for router in [health, auth, organizations, job_postings, interviews, reports, billing]:
        app.include_router(router.router, prefix="/api/v1")

    return app

app = create_app()

Configuration

# src/interviewbot/config.py
from pydantic_settings import BaseSettings
from functools import lru_cache

class Settings(BaseSettings):
    app_env: str = "dev"
    debug: bool = False
    database_url: str
    redis_url: str = "redis://localhost:6379"
    jwt_secret: str
    jwt_algorithm: str = "HS256"
    jwt_expire_minutes: int = 60
    openai_api_key: str = ""
    anthropic_api_key: str = ""
    elevenlabs_api_key: str = ""
    livekit_api_key: str = ""
    livekit_api_secret: str = ""
    livekit_url: str = ""
    stripe_secret_key: str = ""
    stripe_webhook_secret: str = ""
    judge0_api_url: str = "https://judge0-ce.p.rapidapi.com"
    s3_bucket_name: str = ""
    cors_origins: list[str] = ["http://localhost:3000"]

    model_config = {"env_file": ".env", "env_file_encoding": "utf-8"}

@lru_cache
def () -> Settings:
     Settings()

Router Pattern

Domain logic lives in services, not routers. Routers are thin wrappers.

# src/interviewbot/routers/job_postings.py
from uuid import UUID
from fastapi import APIRouter, Depends, HTTPException, status, Query
from interviewbot.dependencies import get_current_user, get_db, get_org_id
from interviewbot.models.schemas import (
    JobPostingCreateRequest, JobPostingResponse, JobPostingListResponse,
)
from interviewbot.services.interview_service import InterviewService

router = APIRouter(prefix="/job-postings", tags=["Job Postings"])

@router.post("", response_model=JobPostingResponse, status_code=status.HTTP_201_CREATED)
async def create_job_posting(
    request: JobPostingCreateRequest,
    user=Depends(get_current_user),
    db=Depends(get_db),
    org_id: UUID = Depends(get_org_id),
):
    service = InterviewService(db)
    return await service.create_job_posting(org_id=org_id, created_by=user["sub"], data=request)

@router.get("", response_model=JobPostingListResponse)
async def list_job_postings(
    page: int = Query(1, ge=1),
    per_page: int = Query(20, ge=1, le=100),
    user=Depends(get_current_user),
    db=Depends(get_db),
    org_id: UUID = Depends(),
):
    service = InterviewService(db)
      service.list_job_postings(org_id=org_id, page=page, per_page=per_page)


  ():
    service = InterviewService(db)
    posting =  service.get_job_posting(org_id=org_id, posting_id=posting_id)
      posting:
         HTTPException(status.HTTP_404_NOT_FOUND, )
     posting

Dependencies (DI)

# src/interviewbot/dependencies.py
from uuid import UUID
from fastapi import Depends, HTTPException, Request, status
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
from jose import jwt, JWTError
from interviewbot.config import get_settings
from interviewbot.models.database import get_session_factory

security = HTTPBearer()

async def get_db():
    factory = get_session_factory()
    async with factory() as session:
        yield session

async def get_current_user(
    credentials: HTTPAuthorizationCredentials = Depends(security),
) -> dict:
    settings = get_settings()
    try:
        payload = jwt.decode(
            credentials.credentials,
            settings.jwt_secret,
            algorithms=[settings.jwt_algorithm],
        )
        return payload
    except JWTError:
        raise HTTPException(status.HTTP_401_UNAUTHORIZED, "Invalid token")

async def get_org_id(request: Request) -> UUID:
    org_id = getattr(request.state, "org_id", None)
    if not org_id:
        raise HTTPException(status.HTTP_400_BAD_REQUEST, "Organization context required")
    return org_id

 ():
      ():
         user.get()   allowed_roles:
             HTTPException(status.HTTP_403_FORBIDDEN, )
         user
     checker

Pydantic Schemas

# src/interviewbot/models/schemas.py
from uuid import UUID
from datetime import datetime
from pydantic import BaseModel, Field, EmailStr
from enum import Enum

class InterviewFormat(str, Enum):
    TEXT = "text"
    VOICE = "voice"
    VIDEO = "video"

class RoleType(str, Enum):
    TECHNICAL = "technical"
    NON_TECHNICAL = "non_technical"
    MIXED = "mixed"

class JobPostingCreateRequest(BaseModel):
    title: str = Field(..., min_length=3, max_length=200)
    role_type: RoleType
    job_description: str = Field(..., min_length=50)
    required_skills: list[str] = Field(default_factory=list)
    interview_format: InterviewFormat = InterviewFormat.TEXT
    interview_config: dict = Field(default_factory=lambda: {
        "num_questions": 10,
        "duration_minutes": 30,
        "difficulty": "medium",
        "include_coding": False,
    })

class JobPostingResponse(BaseModel):
    id: UUID
    org_id: UUID
    title: 
    role_type: RoleType
    job_description: 
    required_skills: []
    interview_format: InterviewFormat
    interview_config: 
    is_active: 
    created_at: datetime
    interview_link:  |  = 

 ():
    items: [JobPostingResponse]
    total: 
    page: 
    per_page: 

 ():
    candidate_name:  = Field(..., min_length=)
    candidate_email: EmailStr

 ():
    role: 
    content: 
    created_at: datetime

 ():
    session_id: UUID
    candidate_name: 
    overall_score: 
    skill_scores: 
    behavioral_scores: 
    ai_summary: 
    recommendation: 
    confidence_score: 

Error Response Convention

# Always use HTTPException with detail string
raise HTTPException(status.HTTP_400_BAD_REQUEST, "Validation failed: ...")
raise HTTPException(status.HTTP_401_UNAUTHORIZED, "Invalid token")
raise HTTPException(status.HTTP_403_FORBIDDEN, "Insufficient permissions")
raise HTTPException(status.HTTP_404_NOT_FOUND, "Resource not found")
raise HTTPException(status.HTTP_429_TOO_MANY_REQUESTS, "Rate limit exceeded")

FastAPI serializes this as {"detail": "message"}.

Health Checks

# src/interviewbot/routers/health.py
from fastapi import APIRouter, Depends
from interviewbot.dependencies import get_db

router = APIRouter(prefix="/health", tags=["Health"])

@router.get("")
async def health():
    return {"status": "healthy", "service": "interviewbot-api"}

@router.get("/db")
async def health_db(db=Depends(get_db)):
    await db.execute("SELECT 1")
    return {"status": "healthy", "database": "connected"}

Candidate-Facing Routes (Public)

Interview pages are accessed via unique token, no auth required.

# src/interviewbot/routers/interviews.py (public endpoints)
@router.get("/public/{token}")
async def get_interview_by_token(token: str, db=Depends(get_db)):
    service = InterviewService(db)
    session = await service.get_session_by_token(token)
    if not session:
        raise HTTPException(status.HTTP_404_NOT_FOUND, "Interview not found")
    return session

@router.post("/public/{token}/start")
async def start_interview(
    token: str,
    request: InterviewStartRequest,
    db=Depends(get_db),
):
    service = InterviewService(db)
    return await service.start_session(token=token, data=request)

Background Tasks (Celery)

# src/interviewbot/workers/report_worker.py
from celery import Celery
from interviewbot.config import get_settings

settings = get_settings()
celery_app = Celery("interviewbot", broker=settings.redis_url)

@celery_app.task
def generate_report(session_id: str):
    """Generate candidate report after interview completion."""
    ...

@celery_app.task
def send_interview_invitation(email: str, interview_link: str, job_title: str):
    """Send interview invitation email to candidate."""
    ...

Checklist for New Endpoints

1. Create or add to router in src/interviewbot/routers/
2. Choose auth level: public (candidate) / authenticated / admin-only
3. Create Pydantic request/response schemas in models/schemas.py
4. Add domain logic to a service in services/
5. Always filter by org_id for tenant isolation
6. Add rate limiting for public-facing endpoints
7. Log with structlog -- never print()
8. Write tests in tests/

Key Rules

1. Never hardcode secrets -- all secrets via Settings
2. Always version API routes -- prefix with /api/v1/
3. Always validate inputs -- Pydantic Field constraints
4. Always use async -- asyncpg, httpx.AsyncClient
5. Domain logic in services -- routers are thin wrappers
6. Multi-tenant isolation -- every query filters by org_id
7. Log with structlog -- never print()
8. Candidate endpoints are public -- accessed via unique token
9. Dashboard endpoints require JWT -- always validate token