mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
synced 2026-06-17 23:09:35 +00:00
b88a7c845f
- Add public_launch ACA package (gate, pilot_tracker, pdpl, brand_moat) - Register GET/POST /api/v1/public-launch/* router in api/main - Add 18 unit tests, MASTER_STRATEGIC_PLAN, PUBLIC_LAUNCH_READINESS - Refresh POST_MERGE_VERIFICATION snapshot; vendor patch for git apply Verified: 797 passed (6 skipped), ROUTE_CHECK_OK, SMOKE_INPROCESS_OK
297 lines
9.8 KiB
Python
297 lines
9.8 KiB
Python
"""Tests for the Public Launch Gate (Layer 13)."""
|
|
|
|
from __future__ import annotations
|
|
|
|
from auto_client_acquisition.public_launch import (
|
|
PUBLIC_LAUNCH_CRITERIA,
|
|
GateVerdict,
|
|
evaluate_public_launch_gate,
|
|
pilot_tracker_summary,
|
|
PilotRecord,
|
|
compute_pdpl_compliance,
|
|
compute_brand_moat_score,
|
|
)
|
|
|
|
|
|
# ===== Gate evaluation =====
|
|
|
|
def test_criteria_count_is_nine():
|
|
assert len(PUBLIC_LAUNCH_CRITERIA) == 9
|
|
|
|
|
|
def test_gate_all_passing_yields_go_public_launch():
|
|
state = {
|
|
"pilots_completed": 7,
|
|
"paid_customers": 3,
|
|
"unsafe_sends": 0,
|
|
"proof_cadence_weeks": 4,
|
|
"support_first_response_minutes_p1": 60,
|
|
"funnel_visible": True,
|
|
"staging_uptime_days": 21,
|
|
"billing_webhook_verified": True,
|
|
"legal_complete": True,
|
|
}
|
|
v = evaluate_public_launch_gate(state)
|
|
assert v.decision == "GO_PUBLIC_LAUNCH"
|
|
assert v.score_passed == v.score_total == 9
|
|
assert not v.blockers
|
|
assert "جاهز للإطلاق العام" in v.summary_ar
|
|
|
|
|
|
def test_gate_unsafe_sends_triggers_blocked():
|
|
state = {
|
|
"pilots_completed": 7,
|
|
"paid_customers": 3,
|
|
"unsafe_sends": 1, # ← hard block
|
|
"proof_cadence_weeks": 4,
|
|
"support_first_response_minutes_p1": 60,
|
|
"funnel_visible": True,
|
|
"staging_uptime_days": 21,
|
|
"billing_webhook_verified": True,
|
|
"legal_complete": True,
|
|
}
|
|
v = evaluate_public_launch_gate(state)
|
|
assert v.decision == "BLOCKED"
|
|
assert "Hard block" in v.summary_ar
|
|
|
|
|
|
def test_gate_partial_yields_no_go_with_blockers():
|
|
state = {
|
|
"pilots_completed": 2,
|
|
"paid_customers": 1,
|
|
"unsafe_sends": 0,
|
|
"proof_cadence_weeks": 1,
|
|
"support_first_response_minutes_p1": 60,
|
|
"funnel_visible": True,
|
|
"staging_uptime_days": 5,
|
|
"billing_webhook_verified": False,
|
|
"legal_complete": False,
|
|
}
|
|
v = evaluate_public_launch_gate(state)
|
|
assert v.decision == "NO_GO"
|
|
assert v.score_passed < v.score_total
|
|
blocker_keys = {b["key"] for b in v.blockers}
|
|
assert "pilots_completed" in blocker_keys
|
|
assert "billing_webhook_verified" in blocker_keys
|
|
assert "legal_complete" in blocker_keys
|
|
assert v.next_actions_ar # has Arabic actions
|
|
|
|
|
|
def test_gate_empty_state_blocks_everything():
|
|
v = evaluate_public_launch_gate({})
|
|
assert v.decision != "GO_PUBLIC_LAUNCH"
|
|
assert len(v.blockers) >= 8
|
|
|
|
|
|
def test_gate_support_response_is_max_threshold_lower_better():
|
|
state_good = {"support_first_response_minutes_p1": 30}
|
|
state_bad = {"support_first_response_minutes_p1": 200}
|
|
# 30 ≤ 120 → pass; 200 > 120 → fail
|
|
keys_good = {r["key"] for r in evaluate_public_launch_gate(state_good).criteria_results if r["passed"]}
|
|
keys_bad = {r["key"] for r in evaluate_public_launch_gate(state_bad).criteria_results if r["passed"]}
|
|
assert "support_first_response_minutes_p1" in keys_good
|
|
assert "support_first_response_minutes_p1" not in keys_bad
|
|
|
|
|
|
# ===== Pilot tracker =====
|
|
|
|
def test_pilot_summary_basic_aggregation():
|
|
pilots = [
|
|
{
|
|
"pilot_id": "p1", "company": "A", "sector": "agency", "city": "RUH",
|
|
"started_at": "2026-04-25", "stage": "completed",
|
|
"paid": True, "pilot_price_sar": 499,
|
|
"proof_pack_sent": True, "proof_pack_sent_at": "2026-05-01",
|
|
"upgrade_outcome": "growth_os_monthly", "upgrade_value_sar": 2999,
|
|
},
|
|
{
|
|
"pilot_id": "p2", "company": "B", "sector": "training", "city": "JED",
|
|
"started_at": "2026-04-20", "stage": "stalled",
|
|
"paid": False, "pilot_price_sar": 0,
|
|
"proof_pack_sent": False, "proof_pack_sent_at": None,
|
|
"upgrade_outcome": None,
|
|
},
|
|
]
|
|
s = pilot_tracker_summary(pilots)
|
|
assert s.total_pilots == 2
|
|
assert s.completed_pilots == 1
|
|
assert s.proof_packs_delivered == 1
|
|
assert s.paid_pilots == 1
|
|
assert s.paid_revenue_sar == 499
|
|
assert s.upgrade_revenue_sar == 2999
|
|
assert s.growth_os_subscribers == 1
|
|
assert s.stalled_pilots == 1
|
|
assert s.by_sector == {"agency": 1, "training": 1}
|
|
assert s.by_city == {"RUH": 1, "JED": 1}
|
|
|
|
|
|
def test_pilot_summary_empty_returns_zeros():
|
|
s = pilot_tracker_summary([])
|
|
assert s.total_pilots == 0
|
|
assert s.completion_rate == 0.0
|
|
assert s.paid_conversion_rate == 0.0
|
|
assert s.upgrade_conversion_rate == 0.0
|
|
|
|
|
|
def test_pilot_summary_avg_proof_days_computed():
|
|
pilots = [
|
|
{
|
|
"pilot_id": "p1", "company": "A", "sector": "saas", "city": "RUH",
|
|
"started_at": "2026-04-25T00:00:00", "stage": "completed",
|
|
"paid": True, "pilot_price_sar": 499,
|
|
"proof_pack_sent": True,
|
|
"proof_pack_sent_at": "2026-05-02T00:00:00",
|
|
"upgrade_outcome": "case_study",
|
|
}
|
|
]
|
|
s = pilot_tracker_summary(pilots)
|
|
assert s.average_proof_pack_days == 7.0
|
|
|
|
|
|
def test_pilot_summary_accepts_pilotrecord_instances():
|
|
rec = PilotRecord(
|
|
pilot_id="p1", company="A", sector="agency", city="RUH",
|
|
started_at="2026-04-25", stage="completed",
|
|
paid=True, pilot_price_sar=499,
|
|
proof_pack_sent=True, proof_pack_sent_at="2026-05-01",
|
|
upgrade_outcome="growth_os_monthly", upgrade_value_sar=2999,
|
|
)
|
|
s = pilot_tracker_summary([rec])
|
|
assert s.total_pilots == 1
|
|
assert s.paid_pilots == 1
|
|
|
|
|
|
# ===== PDPL compliance =====
|
|
|
|
def test_pdpl_full_compliance_yields_compliant():
|
|
state = {
|
|
"data_residency_saudi": True,
|
|
"whatsapp_opt_in_audit": True,
|
|
"email_opt_in_audit": True,
|
|
"breach_notification_72h_ready": True,
|
|
"dpa_template_published": True,
|
|
"privacy_policy_bilingual": True,
|
|
"data_retention_policy": True,
|
|
"trace_redaction_active": True,
|
|
"action_ledger_audit": True,
|
|
"consent_revocation_path": True,
|
|
}
|
|
r = compute_pdpl_compliance(state)
|
|
assert r.overall_status == "compliant"
|
|
assert r.score_passed == r.score_total
|
|
assert not r.critical_failures
|
|
|
|
|
|
def test_pdpl_critical_failure_yields_non_compliant():
|
|
state = {
|
|
"data_residency_saudi": False, # critical
|
|
"whatsapp_opt_in_audit": True,
|
|
"email_opt_in_audit": True,
|
|
"breach_notification_72h_ready": True,
|
|
"dpa_template_published": True,
|
|
"privacy_policy_bilingual": True,
|
|
"data_retention_policy": True,
|
|
"trace_redaction_active": True,
|
|
"action_ledger_audit": True,
|
|
"consent_revocation_path": True,
|
|
}
|
|
r = compute_pdpl_compliance(state)
|
|
assert r.overall_status == "non_compliant"
|
|
assert any(f["key"] == "data_residency_saudi" for f in r.critical_failures)
|
|
|
|
|
|
def test_pdpl_high_only_yields_needs_fixes():
|
|
state = {
|
|
"data_residency_saudi": True,
|
|
"whatsapp_opt_in_audit": True,
|
|
"email_opt_in_audit": False, # high
|
|
"breach_notification_72h_ready": True,
|
|
"dpa_template_published": True,
|
|
"privacy_policy_bilingual": True,
|
|
"data_retention_policy": True,
|
|
"trace_redaction_active": True,
|
|
"action_ledger_audit": True,
|
|
"consent_revocation_path": True,
|
|
}
|
|
r = compute_pdpl_compliance(state)
|
|
assert r.overall_status == "needs_fixes"
|
|
assert not r.critical_failures
|
|
assert any(f["key"] == "email_opt_in_audit" for f in r.high_failures)
|
|
|
|
|
|
# ===== Brand moat score =====
|
|
|
|
def test_brand_moat_zero_state_yields_fragile():
|
|
score = compute_brand_moat_score({})
|
|
assert score.tier == "fragile"
|
|
assert score.overall_score < 35
|
|
|
|
|
|
def test_brand_moat_high_state_yields_dominant():
|
|
state = {
|
|
"events_logged_count": 5_000,
|
|
"messages_per_sector_count": 200,
|
|
"sectors_covered_count": 15,
|
|
"linkedin_followers": 10_000,
|
|
"newsletter_subscribers": 3_000,
|
|
"monthly_branded_searches": 1_500,
|
|
"case_studies_published": 30,
|
|
"pdpl_compliance_pct": 100,
|
|
"iso_27001_progress_pct": 100,
|
|
"audit_count_last_year": 6,
|
|
"dpa_signed_with_customers_pct": 100,
|
|
"agency_partners_count": 50,
|
|
"active_referring_agencies_count": 25,
|
|
"agency_revenue_share_paid_sar": 200_000,
|
|
"certified_operators_count": 200,
|
|
"operators_active_last_30d": 100,
|
|
"operator_revenue_share_paid_sar": 100_000,
|
|
}
|
|
score = compute_brand_moat_score(state)
|
|
assert score.tier == "dominant"
|
|
assert score.overall_score >= 80
|
|
|
|
|
|
def test_brand_moat_identifies_weakest_dimension():
|
|
state = {
|
|
# Strong everywhere except network
|
|
"events_logged_count": 5_000,
|
|
"messages_per_sector_count": 200,
|
|
"sectors_covered_count": 15,
|
|
"linkedin_followers": 10_000,
|
|
"newsletter_subscribers": 3_000,
|
|
"monthly_branded_searches": 1_500,
|
|
"case_studies_published": 30,
|
|
"pdpl_compliance_pct": 100,
|
|
"iso_27001_progress_pct": 100,
|
|
"audit_count_last_year": 6,
|
|
"dpa_signed_with_customers_pct": 100,
|
|
# network = 0
|
|
"agency_partners_count": 0,
|
|
"active_referring_agencies_count": 0,
|
|
"agency_revenue_share_paid_sar": 0,
|
|
# distribution = 0
|
|
"certified_operators_count": 0,
|
|
"operators_active_last_30d": 0,
|
|
"operator_revenue_share_paid_sar": 0,
|
|
}
|
|
score = compute_brand_moat_score(state)
|
|
assert score.weakest_dimension in ("network_moat", "distribution_moat")
|
|
|
|
|
|
def test_brand_moat_returns_arabic_summary():
|
|
score = compute_brand_moat_score({})
|
|
assert "Brand Moat Score" in score.summary_ar
|
|
assert "fragile" in score.summary_ar or "هش" in score.summary_ar
|
|
|
|
|
|
# ===== GateVerdict serialization =====
|
|
|
|
def test_gate_verdict_serializes_to_dict():
|
|
v = evaluate_public_launch_gate({"pilots_completed": 5, "paid_customers": 2})
|
|
d = v.to_dict()
|
|
assert "decision" in d
|
|
assert "criteria_results" in d
|
|
assert "next_actions_ar" in d
|
|
assert isinstance(d["criteria_results"], list)
|