Replace mock dashboard data with real database queries and report-derived timelines

- Replace mock statistics in stats_summarizer.py with real SQLAlchemy queries
  against DMARCReport, ReportRecord, and Domain models
- Replace random compliance timeline in domains.py with real data from ReportStore
- Remove unused `import random` from domains.py
- Add comprehensive tests for StatsSummarizer (global/domain/caching)
- Add tests for compliance timeline (deterministic, multi-report aggregation)
- Mark Dashboard Visualizations as complete in TODO.md

Agent-Logs-Url: https://github.com/christianlouis/dmarq/sessions/ea784ce3-2c1c-45f8-ad6d-46e92cf15ed7

Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>
This commit is contained in:
copilot-swe-agent[bot]
2026-03-29 15:43:33 +00:00
parent f8887b50f4
commit e51fbe755e
5 changed files with 600 additions and 78 deletions
@@ -0,0 +1,147 @@
"""Tests for the domain compliance timeline with real data."""
from fastapi.testclient import TestClient
from app.services.report_store import ReportStore
def _add_report_to_store(
domain, report_id, begin_ts, end_ts, total, passed, failed, org_name="test.org"
):
"""Helper to add a report to the ReportStore with integer timestamps."""
store = ReportStore.get_instance()
store.add_report(
{
"domain": domain,
"report_id": report_id,
"org_name": org_name,
"begin_date": begin_ts,
"end_date": end_ts,
"begin_timestamp": begin_ts,
"end_timestamp": end_ts,
"policy": "none",
"records": [],
"summary": {
"total_count": total,
"passed_count": passed,
"failed_count": failed,
},
}
)
class TestComplianceTimeline:
"""Tests that the compliance timeline returns real data instead of mock."""
def test_timeline_has_entries_after_upload(self, client: TestClient):
"""When a domain has reports, the timeline should have entries."""
_add_report_to_store("example.com", "rpt-001", 1597449600, 1597535999, 10, 8, 2)
response = client.get("/api/v1/domains/example.com/reports?limit=10")
assert response.status_code == 200
data = response.json()
timeline = data["compliance_timeline"]
assert len(timeline) >= 1
def test_timeline_uses_real_dates(self, client: TestClient):
"""Timeline dates should come from actual report begin_dates."""
_add_report_to_store("example.com", "rpt-001", 1597449600, 1597535999, 10, 8, 2)
response = client.get("/api/v1/domains/example.com/reports?limit=10")
data = response.json()
timeline = data["compliance_timeline"]
# The begin_date=1597449600 is 2020-08-15
dates = [point["date"] for point in timeline]
assert "2020-08-15" in dates
def test_timeline_compliance_rate_is_deterministic(self, client: TestClient):
"""Compliance rate should be deterministic, not random."""
_add_report_to_store("example.com", "rpt-001", 1597449600, 1597535999, 10, 8, 2)
resp1 = client.get("/api/v1/domains/example.com/reports?limit=10")
resp2 = client.get("/api/v1/domains/example.com/reports?limit=10")
timeline1 = resp1.json()["compliance_timeline"]
timeline2 = resp2.json()["compliance_timeline"]
assert timeline1 == timeline2
def test_timeline_empty_for_domain_with_no_valid_dates(self, client: TestClient):
"""A domain with begin_date=0 should have an empty timeline."""
store = ReportStore.get_instance()
store.add_report(
{
"domain": "empty-timeline.com",
"report_id": "rpt-empty",
"org_name": "test",
"begin_date": 0,
"end_date": 0,
"policy": "none",
"records": [],
"summary": {"total_count": 0, "passed_count": 0, "failed_count": 0},
}
)
response = client.get("/api/v1/domains/empty-timeline.com/reports?limit=10")
assert response.status_code == 200
data = response.json()
assert data["compliance_timeline"] == []
def test_timeline_handles_iso_string_dates(self, client: TestClient):
"""Timeline should handle reports with ISO-format string dates."""
from app.api.api_v1.endpoints.domains import _build_compliance_timeline
store = ReportStore.get_instance()
store.add_report(
{
"domain": "isodate.com",
"report_id": "rpt-iso",
"org_name": "test",
"begin_date": "2020-08-15T00:00:00",
"end_date": "2020-08-15T23:59:59",
"policy": "none",
"records": [],
"summary": {"total_count": 10, "passed_count": 9, "failed_count": 1},
}
)
timeline = _build_compliance_timeline(store, "isodate.com")
assert len(timeline) == 1
assert timeline[0].date == "2020-08-15"
assert timeline[0].compliance_rate == 90.0
class TestBuildComplianceTimelineMultipleReports:
"""Test timeline aggregation with multiple reports."""
def test_multiple_reports_same_day(self, client: TestClient):
"""Multiple reports on the same day should be aggregated."""
_add_report_to_store("multi.com", "rpt-1", 1597449600, 1597535999, 10, 8, 2)
_add_report_to_store("multi.com", "rpt-2", 1597449600, 1597535999, 10, 6, 4)
response = client.get("/api/v1/domains/multi.com/reports?limit=10")
assert response.status_code == 200
data = response.json()
timeline = data["compliance_timeline"]
assert len(timeline) == 1
assert timeline[0]["date"] == "2020-08-15"
# Aggregated: 14 passed out of 20 total = 70%
assert timeline[0]["compliance_rate"] == 70.0
def test_reports_on_different_days(self, client: TestClient):
"""Reports on different days should produce separate timeline points."""
_add_report_to_store("days.com", "rpt-d1", 1597449600, 1597535999, 10, 10, 0)
_add_report_to_store("days.com", "rpt-d2", 1597536000, 1597622399, 10, 5, 5)
response = client.get("/api/v1/domains/days.com/reports?limit=10")
assert response.status_code == 200
data = response.json()
timeline = data["compliance_timeline"]
assert len(timeline) == 2
# Sorted by date
assert timeline[0]["date"] == "2020-08-15"
assert timeline[0]["compliance_rate"] == 100.0
assert timeline[1]["date"] == "2020-08-16"
assert timeline[1]["compliance_rate"] == 50.0
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"""Tests for the StatsSummarizer with real database queries."""
import shutil
import tempfile
import pytest
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
import app.models.domain # noqa: F401
import app.models.report # noqa: F401
import app.models.user # noqa: F401
from app.core.database import Base
from app.models.domain import Domain
from app.models.report import DMARCReport, ReportRecord
from app.utils.stats_summarizer import StatsSummarizer
@pytest.fixture()
def db_session():
"""Create a fresh in-memory SQLite database session."""
engine = create_engine("sqlite://", connect_args={"check_same_thread": False})
Base.metadata.create_all(engine)
TestingSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
db = TestingSessionLocal()
try:
yield db
finally:
db.close()
Base.metadata.drop_all(engine)
engine.dispose()
@pytest.fixture()
def summarizer():
"""Create a StatsSummarizer with a temp cache directory."""
cache_dir = tempfile.mkdtemp()
s = StatsSummarizer(cache_dir=cache_dir)
yield s
shutil.rmtree(cache_dir, ignore_errors=True)
def _seed_domain_and_reports(db, domain_name="example.com"):
"""Insert a domain with reports and records into the database."""
domain = Domain(name=domain_name)
db.add(domain)
db.flush()
# Report 1: 2 records, 1 fully passing, 1 failing
report1 = DMARCReport(
domain_id=domain.id,
report_id="rpt-001",
org_name="google.com",
begin_date=1597449600, # 2020-08-15
end_date=1597535999,
policy="none",
)
db.add(report1)
db.flush()
# Record: 5 emails, both pass
rec1 = ReportRecord(
report_id=report1.id,
source_ip="203.0.113.1",
count=5,
disposition="none",
dkim="pass",
spf="pass",
)
# Record: 3 emails, both fail
rec2 = ReportRecord(
report_id=report1.id,
source_ip="198.51.100.1",
count=3,
disposition="quarantine",
dkim="fail",
spf="fail",
)
db.add_all([rec1, rec2])
db.flush()
return domain
class TestStatsSummarizerGlobal:
"""Tests for global statistics."""
def test_empty_database_returns_zeros(self, db_session, summarizer):
stats = summarizer.calculate_summary_statistics(db_session)
assert stats["total_domains"] == 0
assert stats["total_emails"] == 0
assert stats["compliance_rate"] == 0.0
assert stats["reports_processed"] == 0
assert stats["top_sources"] == []
assert stats["compliance_trend"] == []
def test_global_stats_with_data(self, db_session, summarizer):
_seed_domain_and_reports(db_session, "example.com")
db_session.commit()
stats = summarizer.calculate_summary_statistics(db_session)
assert stats["total_domains"] == 1
assert stats["total_emails"] == 8 # 5 + 3
assert stats["compliant_emails"] == 5 # only rec1 passes
assert stats["compliance_rate"] == 62.5 # 5/8 * 100
assert stats["reports_processed"] == 1
def test_global_top_sources(self, db_session, summarizer):
_seed_domain_and_reports(db_session)
db_session.commit()
stats = summarizer.calculate_summary_statistics(db_session)
assert len(stats["top_sources"]) == 2
# Sorted by count descending
assert stats["top_sources"][0]["ip"] == "203.0.113.1"
assert stats["top_sources"][0]["count"] == 5
def test_multiple_domains(self, db_session, summarizer):
_seed_domain_and_reports(db_session, "example.com")
_seed_domain_and_reports(db_session, "test.org")
db_session.commit()
stats = summarizer.calculate_summary_statistics(db_session)
assert stats["total_domains"] == 2
assert stats["total_emails"] == 16 # 8 * 2
assert stats["reports_processed"] == 2
class TestStatsSummarizerDomain:
"""Tests for domain-specific statistics."""
def test_nonexistent_domain(self, db_session, summarizer):
stats = summarizer.calculate_summary_statistics(db_session, domain_id="nope.com")
assert stats["domain"] == "nope.com"
assert stats["total_emails"] == 0
assert stats["compliance_rate"] == 0.0
def test_domain_stats_with_data(self, db_session, summarizer):
_seed_domain_and_reports(db_session, "example.com")
db_session.commit()
stats = summarizer.calculate_summary_statistics(db_session, domain_id="example.com")
assert stats["domain"] == "example.com"
assert stats["total_emails"] == 8
assert stats["compliant_emails"] == 5
assert stats["compliance_rate"] == 62.5
assert stats["reports_processed"] == 1
def test_domain_sources(self, db_session, summarizer):
_seed_domain_and_reports(db_session, "example.com")
db_session.commit()
stats = summarizer.calculate_summary_statistics(db_session, domain_id="example.com")
assert len(stats["sources"]) == 2
# First source should be the highest count
assert stats["sources"][0]["ip"] == "203.0.113.1"
assert stats["sources"][0]["count"] == 5
def test_domain_isolation(self, db_session, summarizer):
"""Stats for one domain should not include data from another."""
_seed_domain_and_reports(db_session, "example.com")
_seed_domain_and_reports(db_session, "other.org")
db_session.commit()
stats = summarizer.calculate_summary_statistics(db_session, domain_id="example.com")
assert stats["total_emails"] == 8 # Only example.com's data
class TestStatsSummarizerCaching:
"""Tests for the caching layer."""
def test_caching_returns_same_data(self, db_session, summarizer):
_seed_domain_and_reports(db_session)
db_session.commit()
stats1 = summarizer.calculate_summary_statistics(db_session)
stats2 = summarizer.calculate_summary_statistics(db_session)
assert stats1 == stats2
def test_invalidate_cache(self, db_session, summarizer):
_seed_domain_and_reports(db_session)
db_session.commit()
summarizer.calculate_summary_statistics(db_session)
summarizer.invalidate_cache()
# Should recalculate after invalidation
stats = summarizer.calculate_summary_statistics(db_session)
assert stats["total_domains"] == 1