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BankBot AI Endpoint Validation Script
======================================
Calls every AI endpoint and asserts the response shape is correct.
Usage:
# From the backend/ directory with the server running:
python app/scripts/test_endpoints.py
Exit codes:
0 β all tests passed
1 β one or more tests failed
"""
import sys
import json
import httpx
BASE_URL = "http://127.0.0.1:8000"
# βββ Result tracking ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
results = [] # list of (name, passed, detail)
def record(name: str, passed: bool, detail: str = ""):
results.append((name, passed, detail))
# βββ Helpers ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def get(path: str, params: dict = None):
return httpx.get(f"{BASE_URL}{path}", params=params, timeout=60)
def post(path: str, body: dict):
return httpx.post(f"{BASE_URL}{path}", json=body, timeout=60)
def assert_keys(data: dict, *keys):
missing = [k for k in keys if k not in data]
if missing:
raise AssertionError(f"Missing keys: {missing}")
# βββ Tests ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def test_health():
r = get("/health")
assert r.status_code == 200
assert r.json().get("status") == "healthy"
record("GET /health", True)
def test_ai_status():
r = get("/api/ai/status")
assert r.status_code == 200
data = r.json()
assert_keys(data, "ai_backend", "ai_available", "db_type", "cache_type")
assert data["db_type"] in ("sqlite", "postgresql")
assert data["cache_type"] in ("redis", "memory")
record("GET /api/ai/status", True,
f"backend={data['ai_backend']} db={data['db_type']} cache={data['cache_type']}")
def test_twin_predict():
r = get("/api/ai/twin/predict")
assert r.status_code == 200, f"HTTP {r.status_code}: {r.text}"
data = r.json()
assert_keys(data, "current_balance", "projected_balance", "percent_change",
"net_daily", "insight", "chart_data")
assert isinstance(data["chart_data"], list) and len(data["chart_data"]) >= 1
assert data["projected_balance"] >= 0.0, "projected_balance must be non-negative"
record("GET /api/ai/twin/predict", True,
f"balance=${data['current_balance']:,.2f} β ${data['projected_balance']:,.2f}")
def test_twin_future():
r = get("/api/ai/twin/future", params={"months": 12})
assert r.status_code == 200, f"HTTP {r.status_code}: {r.text}"
data = r.json()
assert_keys(data, "savings_growth", "investment_growth", "debt_decline")
assert len(data["savings_growth"]) >= 1
assert len(data["investment_growth"]) >= 1
record("GET /api/ai/twin/future", True,
f"savings_points={len(data['savings_growth'])}")
def test_twin_scenarios():
r = get("/api/ai/twin/scenarios", params={"months": 6})
assert r.status_code == 200, f"HTTP {r.status_code}: {r.text}"
data = r.json()
assert_keys(data, "status_quo", "frugal", "lifestyle_inflation")
for key in ("status_quo", "frugal", "lifestyle_inflation"):
assert "balance_projection" in data[key], f"Missing balance_projection in {key}"
record("GET /api/ai/twin/scenarios", True)
def test_simulate_purchase():
r = post("/api/ai/simulate/purchase", {
"amount": 500.0, "merchant": "Test Store", "category": "Shopping"
})
assert r.status_code == 200, f"HTTP {r.status_code}: {r.text}"
data = r.json()
assert_keys(data, "risk_analysis", "projected_balance", "recommendation")
assert data["risk_analysis"]["risk_level"] in ("low", "medium", "high", "critical")
assert data["projected_balance"] >= 0.0
record("POST /api/ai/simulate/purchase", True,
f"risk={data['risk_analysis']['risk_level']}")
def test_simulate_investment():
r = post("/api/ai/simulate/investment", {
"monthly_sip": 200.0, "asset_type": "stock", "lump_sum": 0.0
})
assert r.status_code == 200, f"HTTP {r.status_code}: {r.text}"
data = r.json()
assert_keys(data, "growth_projection", "is_affordable", "risk_analysis")
assert len(data["growth_projection"]) == 3, \
f"Expected 3 growth milestones (1/3/5 yr), got {len(data['growth_projection'])}"
record("POST /api/ai/simulate/investment", True,
f"affordable={data['is_affordable']}")
def test_simulate_subscription():
# First fetch a real subscription ID from the optimize endpoint
r_subs = get("/api/ai/subscriptions/optimize")
assert r_subs.status_code == 200
subs = r_subs.json().get("subscriptions", [])
if not subs:
record("POST /api/ai/simulate/subscription", True, "skipped β no subscriptions in DB")
return
sub_id = subs[0]["id"]
r = post("/api/ai/simulate/subscription", {"subscription_ids": [sub_id]})
assert r.status_code == 200, f"HTTP {r.status_code}: {r.text}"
data = r.json()
assert_keys(data, "monthly_savings", "yearly_savings", "recommendation")
assert data["monthly_savings"] >= 0.0
record("POST /api/ai/simulate/subscription", True,
f"monthly_savings=${data['monthly_savings']:.2f}")
def test_behavior_insights():
r = get("/api/ai/behavior/insights")
assert r.status_code == 200, f"HTTP {r.status_code}: {r.text}"
data = r.json()
assert_keys(data, "insights", "metrics")
assert isinstance(data["insights"], list) and len(data["insights"]) >= 1, \
"insights must be a non-empty list"
record("GET /api/ai/behavior/insights", True,
f"insights={len(data['insights'])}")
def test_coaching_score():
r = get("/api/ai/coaching/score")
assert r.status_code == 200, f"HTTP {r.status_code}: {r.text}"
data = r.json()
assert_keys(data, "overall_score", "categories", "explanation", "actionable_improvements")
score = data["overall_score"]
assert 0 <= score <= 100, f"overall_score {score} out of [0, 100]"
expected_cats = ("savings_consistency", "debt_ratio", "spending_discipline",
"emergency_funds", "investments", "subscription_management")
for cat in expected_cats:
assert cat in data["categories"], f"Missing category: {cat}"
assert len(data["actionable_improvements"]) >= 1
record("GET /api/ai/coaching/score", True, f"score={score}/100")
def test_coaching_briefing():
# This endpoint calls an LLM β allow up to 120s for local Ollama inference
r = httpx.get(f"{BASE_URL}/api/ai/coaching/briefing", timeout=120)
assert r.status_code == 200, f"HTTP {r.status_code}: {r.text}"
data = r.json()
assert_keys(data, "date", "user_name", "briefing", "metrics")
assert isinstance(data["briefing"], str) and len(data["briefing"]) > 10
record("GET /api/ai/coaching/briefing", True,
f"briefing_len={len(data['briefing'])} chars")
def test_subscriptions_optimize():
r = get("/api/ai/subscriptions/optimize")
assert r.status_code == 200, f"HTTP {r.status_code}: {r.text}"
data = r.json()
assert_keys(data, "subscriptions", "duplicates", "unused_subscriptions",
"yearly_savings_potential", "risk_analysis")
record("GET /api/ai/subscriptions/optimize", True,
f"subs={len(data['subscriptions'])} "
f"dupes={len(data['duplicates'])} "
f"unused={len(data['unused_subscriptions'])}")
def test_fraud_analysis():
r = get("/api/ai/fraud/analysis")
assert r.status_code == 200, f"HTTP {r.status_code}: {r.text}"
data = r.json()
assert_keys(data, "total_alerts", "pending_reviews", "alerts")
assert isinstance(data["total_alerts"], int)
record("GET /api/ai/fraud/analysis", True,
f"alerts={data['total_alerts']}")
def test_chat():
# This endpoint calls an LLM β allow up to 120s for local Ollama inference
r = httpx.post(f"{BASE_URL}/api/ai/chat",
json={"message": "What is my current savings rate?"},
timeout=120)
assert r.status_code == 200, f"HTTP {r.status_code}: {r.text}"
data = r.json()
assert "response" in data, "Missing 'response' key"
assert isinstance(data["response"], str) and len(data["response"]) > 5
record("POST /api/ai/chat", True,
f"response_len={len(data['response'])} chars")
# βββ Runner βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
TESTS = [
test_health,
test_ai_status,
test_twin_predict,
test_twin_future,
test_twin_scenarios,
test_simulate_purchase,
test_simulate_investment,
test_simulate_subscription,
test_behavior_insights,
test_coaching_score,
test_coaching_briefing,
test_subscriptions_optimize,
test_fraud_analysis,
test_chat,
]
if __name__ == "__main__":
print(f"\n{'β'*60}")
print(f" BankBot AI Endpoint Validation β {BASE_URL}")
print(f"{'β'*60}\n")
for test_fn in TESTS:
name = test_fn.__name__.replace("test_", "").replace("_", " ")
try:
test_fn()
# result already recorded inside test_fn on success
except AssertionError as e:
record(name, False, str(e))
except Exception as e:
record(name, False, f"Exception: {e}")
# ββ Summary table βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
print(f"\n{'β'*60}")
print(f" {'TEST':<40} {'RESULT':<8} DETAIL")
print(f"{'β'*60}")
passed = 0
failed = 0
for test_name, ok, detail in results:
status = "β
PASS" if ok else "β FAIL"
print(f" {test_name:<40} {status:<8} {detail}")
if ok:
passed += 1
else:
failed += 1
print(f"{'β'*60}")
print(f" {passed} passed | {failed} failed | {len(results)} total")
print(f"{'β'*60}\n")
sys.exit(0 if failed == 0 else 1)
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