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Task definitions for the AI Interview Simulator.
Three tasks with increasing difficulty:
Task 1 — junior_behavioral (EASY)
Task 2 — mid_technical (MEDIUM)
Task 3 — senior_system_design (HARD)
"""
from __future__ import annotations
from dataclasses import dataclass, field
from typing import List
from interview_env.models import DifficultyLevel, InterviewStage
@dataclass
class InterviewQuestion:
text: str
stage: InterviewStage
key_topics: List[str] # expected themes / keywords
ideal_length: int = 150 # target word count (approximate)
weight: float = 1.0 # relative importance within the task
@dataclass
class TaskDefinition:
task_id: str
name: str
difficulty: DifficultyLevel
job_title: str
company_context: str
questions: List[InterviewQuestion]
description: str
@property
def total_questions(self) -> int:
return len(self.questions)
# ──────────────────────────────────────────────────────────────────────────────
# TASK 1 — Junior Behavioral Interview (EASY)
# ──────────────────────────────────────────────────────────────────────────────
TASK_JUNIOR_BEHAVIORAL = TaskDefinition(
task_id = "junior_behavioral",
name = "Junior Software Engineer — Behavioral Interview",
difficulty = DifficultyLevel.EASY,
job_title = "Junior Software Engineer",
company_context = (
"TechStart Inc. is a Series-A startup building developer tools. "
"The team is 20 engineers, culture is collaborative, and they value "
"learning, ownership, and clear communication."
),
description = (
"Entry-level behavioral interview with 4 questions. "
"Answers are evaluated on the STAR framework (Situation, Task, "
"Action, Result), relevance, and professionalism. "
"Good answers are 100–200 words with concrete examples."
),
questions = [
InterviewQuestion(
text = (
"Tell me about yourself and why you're interested in "
"this Junior Software Engineer role at TechStart."
),
stage = InterviewStage.INTRO,
key_topics = [
"background", "education", "experience", "motivation",
"interest", "skills", "goal", "passionate", "learn",
],
ideal_length = 120,
weight = 0.8,
),
InterviewQuestion(
text = (
"Describe a time when you had to debug a challenging problem. "
"What was the situation, what did you try, and what did you learn?"
),
stage = InterviewStage.BEHAVIORAL,
key_topics = [
"debug", "problem", "error", "solution", "fixed", "learned",
"log", "test", "stack trace", "isolate", "reproduce",
"situation", "result", "action",
],
ideal_length = 180,
weight = 1.2,
),
InterviewQuestion(
text = (
"Tell me about a project you're proud of. "
"What did you build, what was your role, and what impact did it have?"
),
stage = InterviewStage.BEHAVIORAL,
key_topics = [
"project", "built", "developed", "designed", "team",
"role", "impact", "users", "result", "outcome",
"feature", "deployed", "shipped",
],
ideal_length = 180,
weight = 1.0,
),
InterviewQuestion(
text = (
"How do you handle feedback on your code during a code review? "
"Give a specific example."
),
stage = InterviewStage.BEHAVIORAL,
key_topics = [
"feedback", "code review", "comment", "improve", "change",
"open", "learn", "collaborate", "understand", "appreciate",
"review", "PR", "pull request",
],
ideal_length = 150,
weight = 1.0,
),
],
)
# ──────────────────────────────────────────────────────────────────────────────
# TASK 2 — Mid-Level Full-Stack Technical Interview (MEDIUM)
# ──────────────────────────────────────────────────────────────────────────────
TASK_MID_TECHNICAL = TaskDefinition(
task_id = "mid_technical",
name = "Mid-Level Full-Stack Engineer — Technical Interview",
difficulty = DifficultyLevel.MEDIUM,
job_title = "Mid-Level Full-Stack Engineer",
company_context = (
"FinFlow Ltd. builds B2B fintech SaaS used by 500+ companies. "
"Stack: React, Node.js, PostgreSQL, AWS. "
"The team ships weekly and values reliability, code quality, and velocity."
),
description = (
"5-question interview mixing technical knowledge and behavioral depth. "
"Technical questions expect accurate, specific answers with trade-offs. "
"Behavioral questions require the STAR method with measurable results. "
"Good answers are 150–250 words with concrete examples and numbers."
),
questions = [
InterviewQuestion(
text = (
"Explain the difference between REST and GraphQL APIs. "
"When would you choose one over the other?"
),
stage = InterviewStage.TECHNICAL,
key_topics = [
"rest", "graphql", "endpoint", "query", "schema",
"over-fetching", "under-fetching", "flexibility",
"mutation", "http", "stateless", "client", "tradeoff",
],
ideal_length = 200,
weight = 1.0,
),
InterviewQuestion(
text = (
"How does the JavaScript event loop work? "
"Explain the call stack, task queue, and microtask queue."
),
stage = InterviewStage.TECHNICAL,
key_topics = [
"event loop", "call stack", "task queue", "microtask",
"asynchronous", "promise", "setTimeout", "blocking",
"non-blocking", "single thread", "callback", "execution",
],
ideal_length = 200,
weight = 1.2,
),
InterviewQuestion(
text = (
"Describe your approach to database query optimisation. "
"Walk me through how you'd diagnose and fix a slow SQL query."
),
stage = InterviewStage.TECHNICAL,
key_topics = [
"index", "explain", "query plan", "N+1", "join",
"slow query log", "cache", "pagination", "analyse",
"execution plan", "select", "table scan", "optimise",
],
ideal_length = 220,
weight = 1.2,
),
InterviewQuestion(
text = (
"Tell me about a time you had to meet a tight deadline "
"without sacrificing quality. What trade-offs did you make?"
),
stage = InterviewStage.BEHAVIORAL,
key_topics = [
"deadline", "priority", "scope", "tradeoff", "quality",
"technical debt", "stakeholder", "communicate", "plan",
"shipped", "delivered", "result",
],
ideal_length = 180,
weight = 1.0,
),
InterviewQuestion(
text = (
"How do you ensure your front-end React components remain "
"performant as the application scales?"
),
stage = InterviewStage.TECHNICAL,
key_topics = [
"memo", "useMemo", "useCallback", "virtualisation",
"lazy load", "code split", "re-render", "profiler",
"bundle size", "lighthouse", "key", "state", "performance",
],
ideal_length = 200,
weight = 0.9,
),
],
)
# ──────────────────────────────────────────────────────────────────────────────
# TASK 3 — Senior Engineer System Design + Leadership (HARD)
# ──────────────────────────────────────────────────────────────────────────────
TASK_SENIOR_SYSTEM_DESIGN = TaskDefinition(
task_id = "senior_system_design",
name = "Senior Software Engineer — System Design & Leadership",
difficulty = DifficultyLevel.HARD,
job_title = "Senior Software Engineer",
company_context = (
"ScaleUp Corp is a Series-C e-commerce platform processing 50 million "
"orders per year. Stack: microservices, Kubernetes, Kafka, "
"PostgreSQL, Redis, AWS. "
"Engineers are expected to own systems end-to-end, mentor juniors, "
"and drive architectural decisions."
),
description = (
"6-question interview covering system design, distributed systems, "
"leadership, and conflict resolution. "
"System design answers must include scalability, fault tolerance, "
"and trade-offs. Leadership answers must show influence and impact. "
"Good answers are 200–350 words with specifics, numbers, and alternatives considered."
),
questions = [
InterviewQuestion(
text = (
"Design a distributed rate limiter that can handle "
"100,000 requests per second across multiple servers. "
"Walk me through your architecture, storage choice, and failure modes."
),
stage = InterviewStage.TECHNICAL,
key_topics = [
"redis", "token bucket", "sliding window", "fixed window",
"distributed", "race condition", "atomic", "lua script",
"consistency", "availability", "latency", "failure",
"fallback", "partition", "replication", "cache",
],
ideal_length = 300,
weight = 1.5,
),
InterviewQuestion(
text = (
"How would you design the order processing system for "
"an e-commerce platform that must guarantee no orders are lost, "
"even if services go down? Focus on event-driven design."
),
stage = InterviewStage.TECHNICAL,
key_topics = [
"kafka", "message queue", "idempotent", "outbox pattern",
"saga", "event sourcing", "retry", "dead letter queue",
"exactly once", "at least once", "transaction", "durability",
"consumer group", "offset", "ack",
],
ideal_length = 300,
weight = 1.5,
),
InterviewQuestion(
text = (
"Tell me about the most technically complex system you've "
"designed or owned. What were the biggest risks, and how did you "
"mitigate them in production?"
),
stage = InterviewStage.BEHAVIORAL,
key_topics = [
"designed", "owned", "risk", "mitigation", "production",
"monitoring", "alert", "rollback", "canary", "feature flag",
"incident", "postmortem", "scale", "bottleneck",
],
ideal_length = 280,
weight = 1.3,
),
InterviewQuestion(
text = (
"Describe a situation where you disagreed with your tech lead "
"or manager on a technical decision. How did you handle it, "
"and what was the outcome?"
),
stage = InterviewStage.SITUATIONAL,
key_topics = [
"disagree", "decision", "data", "evidence", "compromise",
"respected", "escalate", "influence", "RFC", "proposal",
"outcome", "learned", "relationship", "align",
],
ideal_length = 220,
weight = 1.1,
),
InterviewQuestion(
text = (
"How do you approach mentoring junior engineers? "
"Give a concrete example of how you helped someone grow significantly."
),
stage = InterviewStage.BEHAVIORAL,
key_topics = [
"mentor", "junior", "growth", "feedback", "pair programming",
"review", "goal", "1:1", "autonomy", "confidence",
"promoted", "improved", "impact", "coaching",
],
ideal_length = 220,
weight = 1.0,
),
InterviewQuestion(
text = (
"ScaleUp's checkout latency has increased by 300ms over the last "
"month after a Kubernetes cluster upgrade. Walk me through exactly "
"how you would diagnose and resolve this in production."
),
stage = InterviewStage.TECHNICAL,
key_topics = [
"apm", "tracing", "jaeger", "datadog", "prometheus",
"metrics", "latency", "p99", "kubernetes", "resource limit",
"cpu", "memory", "network", "service mesh", "ingress",
"rollback", "profiling", "flamegraph", "baseline",
],
ideal_length = 300,
weight = 1.5,
),
],
)
# ──────────────────────────────────────────────────────────────────────────────
# Registry
# ──────────────────────────────────────────────────────────────────────────────
TASK_REGISTRY: dict[str, TaskDefinition] = {
TASK_JUNIOR_BEHAVIORAL.task_id: TASK_JUNIOR_BEHAVIORAL,
TASK_MID_TECHNICAL.task_id: TASK_MID_TECHNICAL,
TASK_SENIOR_SYSTEM_DESIGN.task_id: TASK_SENIOR_SYSTEM_DESIGN,
}
def get_task(task_id: str) -> TaskDefinition:
if task_id not in TASK_REGISTRY:
raise ValueError(
f"Unknown task_id '{task_id}'. "
f"Available: {list(TASK_REGISTRY.keys())}"
)
return TASK_REGISTRY[task_id]
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