AI Surveillance Platform: Self-Test Framework & Quality Assurance Plan

CP PLUS 8-Channel DVR | Cloud + Edge Architecture | 24/7 Autonomous Operations

Document Version: 1.0
Date: 2024
Classification: Internal - Production Readiness
Owner: QA Architecture Team

Table of Contents

1. Executive Summary
2. Deliverable 1: Self-Test Framework Design
   • 2.1 Framework Overview
   • 2.2 Test Categories (21 Automated Test Suites)
   • 2.3 Test Execution Framework
   • 2.4 Report Generation
3. Deliverable 2: Sample Self-Test Report
4. Deliverable 3: Go-Live Readiness Checklist
5. Appendices

1. Executive Summary

This document defines the comprehensive self-test framework and quality assurance plan for the AI-powered surveillance platform. The platform operates 24/7 with autonomous human detection, face recognition, suspicious activity detection, and multi-channel alerting via Telegram and WhatsApp.

Key Testing Objectives:

Testing Philosophy:

• Shift-Left: Catch issues before they reach production
• Continuous Validation: Automated tests run daily at 3 AM + on-demand triggers
• Evidence-Based: Every test produces artifacts (logs, screenshots, metrics)
• Self-Healing: Detect, report, and where possible, auto-remediate failures

2. Deliverable 1: Self-Test Framework Design

2.1 Framework Overview

2.1.1 Architecture Diagram

+-------------------+     +-------------------+     +-------------------+
|   Test Scheduler  |---->|   Test Runner     |---->|  Test Executor    |
|   (Cron + API)    |     |   (Orchestrator)  |     |  (Parallel Engine)|
+-------------------+     +-------------------+     +--------+----------+
         |                       |                            |
         v                       v                            v
+-------------------+     +-------------------+     +-------------------+
|   Configuration   |     |   Test Registry   |     |  21 Test Suites   |
|   Manager         |     |   (Test Catalog)  |     |  (200+ Test Cases)|
+-------------------+     +-------------------+     +-------------------+
                                                              |
         +----------------------------------------------------+
         v
+-------------------+     +-------------------+     +-------------------+
|  Result Aggregator|---->|  Report Generator |---->|  Distribution     |
|  (Metrics + Logs) |     |  (PDF/HTML)       |     |  (Email/Slack/UI) |
+-------------------+     +-------------------+     +-------------------+
         |
         v
+-------------------+     +-------------------+
|  Trend Analyzer   |     |  Alert Manager    |
|  (Historical)     |     |  (PagerDuty/Slack)|
+-------------------+     +-------------------+

2.1.2 Technology Stack

2.1.3 Test Classification

Tests are classified by criticality and execution frequency:

2.2 Test Categories

TC-01: DVR Connectivity Tests

Test Suite: test_dvr_connectivity
Priority: P0 - Critical
Estimated Duration: 30 seconds
Parallel Safe: Yes

Evidence Collected:

• RTSP handshake timing logs
• Connection success/failure screenshots
• Network packet captures (if failure)

On Failure:

• Retry 3 times with 5s backoff
• If still failing, create critical alert
• Include network diagnostics (ping, traceroute)

TC-02: VPN Tunnel Health

Test Suite: test_vpn_health
Priority: P0 - Critical
Estimated Duration: 20 seconds
Parallel Safe: Yes

Evidence Collected:

• Ping statistics
• iperf3 bandwidth report
• Interface state screenshots

On Failure:

• Attempt tunnel restart
• Log packet capture for analysis
• Escalate to network operations team

TC-03: Camera Stream Access

Test Suite: test_camera_stream_access
Priority: P0 - Critical
Estimated Duration: 45 seconds
Parallel Safe: Yes (per camera)

Evidence Collected:

• Sample frames (1 per camera)
• FPS measurement logs
• Resolution verification screenshots

On Failure:

• Restart stream consumer for affected camera
• Log full FFmpeg debug output
• Check DVR encoder settings

TC-04: Live Streaming Test

Test Suite: test_live_streaming
Priority: P1 - High
Estimated Duration: 60 seconds
Parallel Safe: No

Evidence Collected:

• Screenshot of dashboard with playing streams
• HLS manifest file
• WebRTC connection logs
• Latency measurement data

On Failure:

• Restart streaming service
• Check streaming server logs
• Verify transcoding pipeline

TC-05: Human Detection Pipeline

Test Suite: test_human_detection
Priority: P1 - High
Estimated Duration: 120 seconds
Parallel Safe: No (uses GPU)

Evidence Collected:

• Annotated output frames with bounding boxes
• Detection metrics report (precision, recall, mAP)
• Inference timing logs

On Failure:

• Check GPU availability and utilization
• Verify model file integrity (checksum)
• Restart AI inference service

TC-06: Face Detection Pipeline

Test Suite: test_face_detection
Priority: P1 - High
Estimated Duration: 90 seconds
Parallel Safe: No (uses GPU)

Evidence Collected:

• Face crop images
• Annotated frames with face boxes
• Detection accuracy report

On Failure:

• Verify face detection model loaded
• Check GPU memory availability
• Review detection confidence thresholds

TC-07: Face Recognition Pipeline

Test Suite: test_face_recognition
Priority: P1 - High
Estimated Duration: 120 seconds
Parallel Safe: No (uses GPU)

Evidence Collected:

• Recognition results matrix
• Embedding similarity scores
• Gallery search timing logs

On Failure:

• Check face database connection
• Verify model weights loaded correctly
• Review enrollment data integrity

TC-08: Unknown Person Clustering

Test Suite: test_unknown_clustering
Priority: P1 - High
Estimated Duration: 180 seconds
Parallel Safe: No

Evidence Collected:

• Cluster visualization with representative images
• Cluster quality metrics report
• Cluster assignment log

On Failure:

• Check clustering algorithm parameters
• Verify embedding quality
• Review distance threshold settings

TC-09: Alert Generation

Test Suite: test_alert_generation
Priority: P1 - High
Estimated Duration: 60 seconds
Parallel Safe: Yes

Evidence Collected:

• Alert database records
• Alert content screenshots
• Timing measurement logs

On Failure:

• Check alert service logs
• Verify database connectivity
• Review alert configuration thresholds

TC-10: Telegram Delivery

Test Suite: test_telegram_delivery
Priority: P1 - High
Estimated Duration: 30 seconds
Parallel Safe: Yes

Evidence Collected:

• Telegram API response logs
• Screenshot of received message
• Delivery timing data

On Failure:

• Verify bot token validity
• Check Telegram API status
• Review network connectivity to Telegram servers

TC-11: WhatsApp Delivery

Test Suite: test_whatsapp_delivery
Priority: P1 - High
Estimated Duration: 30 seconds
Parallel Safe: Yes

Evidence Collected:

• WhatsApp API response logs
• Message delivery status
• Webhook configuration screenshot

On Failure:

• Check WhatsApp Business API session
• Verify phone number ID
• Review webhook endpoint health

TC-12: Image Capture

Test Suite: test_image_capture
Priority: P1 - High
Estimated Duration: 45 seconds
Parallel Safe: Yes

Evidence Collected:

• Sample captured images
• Storage directory listing
• Metadata JSON files
• Checksum verification logs

On Failure:

• Check storage mount point
• Verify disk space
• Review storage service logs

TC-13: Video Clip Capture

Test Suite: test_video_clip_capture
Priority: P1 - High
Estimated Duration: 90 seconds
Parallel Safe: Yes

Evidence Collected:

• Sample video clips
• ffprobe analysis output
• Duration measurement logs
• Playback verification screenshot

On Failure:

• Check recording service
• Verify disk space for recording
• Review FFmpeg process status

TC-14: Database Write/Read

Test Suite: test_database_health
Priority: P0 - Critical
Estimated Duration: 30 seconds
Parallel Safe: No (uses shared test data)

Evidence Collected:

• Query timing logs
• Connection pool metrics
• Database health check output

On Failure:

• Check database server status
• Review connection pool settings
• Analyze slow query log

TC-15: Storage Write/Read

Test Suite: test_storage_health
Priority: P1 - High
Estimated Duration: 45 seconds
Parallel Safe: Yes

Evidence Collected:

• Upload/download timing logs
• Checksum verification results
• Storage API response logs

On Failure:

• Check storage service status
• Verify credentials and permissions
• Review storage quota

TC-16: Search and Retrieval

Test Suite: test_search_retrieval
Priority: P1 - High
Estimated Duration: 60 seconds
Parallel Safe: Yes

Evidence Collected:

• Search query logs
• Result screenshots
• Timing measurement data

On Failure:

• Check search index health
• Verify Elasticsearch/solr status
• Review query patterns

TC-17: Training Workflow

Test Suite: test_training_workflow
Priority: P2 - Medium
Estimated Duration: 300 seconds
Parallel Safe: No

Evidence Collected:

• Training job logs
• Model version change log
• Training metrics charts
• Confusion matrix visualization

On Failure:

• Check training infrastructure (GPU)
• Verify training data quality
• Review model validation pipeline

TC-18: Admin Login Security

Test Suite: test_admin_login_security
Priority: P0 - Critical
Estimated Duration: 45 seconds
Parallel Safe: Yes

Evidence Collected:

• Login attempt logs
• Rate limit test results
• JWT token validation output

On Failure:

• Check authentication service
• Review rate limiter configuration
• Verify JWT secret rotation

TC-19: RBAC Enforcement

Test Suite: test_rbac_enforcement
Priority: P1 - High
Estimated Duration: 60 seconds
Parallel Safe: Yes

Evidence Collected:

• API response logs
• RBAC decision logs
• Audit trail entries

On Failure:

• Check policy engine configuration
• Verify role definitions
• Review permission assignments

TC-20: System Restart Recovery

Test Suite: test_restart_recovery
Priority: P0 - Critical
Estimated Duration: 120 seconds
Parallel Safe: No

Evidence Collected:

• System boot logs
• Recovery timing measurements
• Stream reconnection logs
• Service status screenshots

On Failure:

• Check systemd/init configuration
• Review startup dependencies
• Verify health check endpoints

TC-21: Long-Run Stability

Test Suite: test_long_run_stability
Priority: P1 - High
Estimated Duration: Continuous (monitored)
Parallel Safe: No

Evidence Collected:

• Memory usage graphs (7-day)
• Disk usage graphs (7-day)
• Connection pool metrics
• Stability score report

On Failure:

• Profile memory usage
• Review resource cleanup code
• Check for unclosed connections

2.3 Test Execution Framework

2.3.1 Test Runner Architecture

+--------------------------------------------------------------------+
|                        Test Orchestrator                           |
|  (FastAPI Service - Port 8080)                                     |
|                                                                    |
|  +---------------+  +---------------+  +-------------------------+ |
|  | Scheduler     |  | Test Engine   |  | Result Processor        | |
|  | - Cron jobs   |  | - Test loader |  | - Result aggregation    | |
|  | - API trigger |  | - Executor    |  | - Evidence collection   | |
|  | - Webhook     |  | - Reporter    |  | - Notification router   | |
|  +---------------+  +---------------+  +-------------------------+ |
|                                                                    |
|  +---------------+  +---------------+  +-------------------------+ |
|  | Config Mgr    |  | State Mgr     |  | Metrics Collector       | |
|  | - Test params |  | - Test state  |  | - Prometheus exporter   | |
|  | - Environment |  | - History     |  | - Custom metrics        | |
|  +---------------+  +---------------+  +-------------------------+ |
+--------------------------------------------------------------------+
                              |
          +-------------------+-------------------+
          v                   v                   v
+------------------+  +------------------+  +------------------+
|  Test Workers    |  |  PostgreSQL      |  |  MinIO / S3      |
|  (pytest-xdist)  |  |  (Results DB)    |  |  (Artifacts)     |
+------------------+  +------------------+  +------------------+

2.3.2 Configuration Schema

# config/self_test.yaml
framework:
  name: "AI-Surveillance-Self-Test"
  version: "1.0.0"
  environment: "production"

scheduling:
  daily_run:
    enabled: true
    cron: "0 3 * * *"  # Daily at 3 AM
    timezone: "UTC"
    timeout: "30m"
  on_demand:
    enabled: true
    max_concurrent: 2
  health_check:
    enabled: true
    interval: "15m"  # Every 15 minutes for P0 tests

execution:
  parallel: true
  max_workers: 4
  test_timeout:
    p0: "60s"
    p1: "300s"
    p2: "600s"
    p3: "1800s"
  isolation:
    method: "docker"  # docker | process | thread
    cleanup: true

targets:
  dvr:
    host: "192.168.1.100"
    rtsp_port: 554
    onvif_port: 80
    username: "${DVR_USERNAME}"
    password: "${DVR_PASSWORD}"
  vpn:
    interface: "tun0"
    endpoint: "10.8.0.1"
  api:
    base_url: "https://surveillance.internal/api/v1"
    timeout: 30
  storage:
    type: "minio"
    endpoint: "minio.internal:9000"
    bucket: "surveillance-media"

thresholds:
  rtsp_handshake_ms: 2000
  vpn_latency_ms: 100
  vpn_packet_loss_pct: 1.0
  camera_fps: 5
  stream_latency_s: 5
  human_detection_accuracy: 90
  face_detection_accuracy: 85
  alert_creation_s: 5
  message_delivery_s: 10
  db_write_ms: 50
  db_read_ms: 30
  search_response_ms: 500
  memory_growth_mb_day: 100
  recovery_time_s: 60

notification:
  on_failure:
    - type: "slack"
      webhook: "${SLACK_WEBHOOK_URL}"
      channel: "#surveillance-alerts"
    - type: "email"
      smtp_host: "smtp.internal"
      to: "ops-team@company.com"
  on_completion:
    - type: "email"
      to: "qa-team@company.com"
      attach_report: true

reporting:
  format: ["html", "pdf"]
  retention_days: 90
  include_evidence: true
  trending:
    enabled: true
    window_days: 30

2.3.3 Scheduling Configuration

Cron Expression Summary:

# Health checks - every 15 minutes
*/15 * * * * /opt/tests/run.sh --suite health_check

# Daily full suite - 3:00 AM UTC
0 3 * * * /opt/tests/run.sh --suite full --report

# Weekly deep stability test - Sunday 2:00 AM
0 2 * * 0 /opt/tests/run.sh --suite stability --extended

# On-demand via API
POST /api/v1/tests/run { "suite": "custom", "tests": [...] }

2.3.4 Test Isolation Strategy

Pre-test Setup (per test):

1. Create isolated test namespace/container
2. Load test fixtures
3. Reset test database state
4. Clear temporary storage
5. Verify test prerequisites

Post-test Cleanup:

1. Remove test data from database
2. Delete test files from storage
3. Release GPU memory
4. Close all connections
5. Archive evidence to MinIO/S3

2.3.5 Parallel Execution Rules

Tests are organized into execution groups. Groups at the same level run in parallel; levels run sequentially:

2.3.6 Test Result Storage Schema

-- Test Run Table
CREATE TABLE test_runs (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    run_name VARCHAR(255) NOT NULL,
    started_at TIMESTAMP WITH TIME ZONE NOT NULL,
    completed_at TIMESTAMP WITH TIME ZONE,
    status VARCHAR(50) NOT NULL,
    environment VARCHAR(100),
    version VARCHAR(50),
    total_tests INTEGER DEFAULT 0,
    passed INTEGER DEFAULT 0,
    failed INTEGER DEFAULT 0,
    skipped INTEGER DEFAULT 0,
    duration_ms BIGINT,
    production_readiness_score DECIMAL(5,2),
    report_url TEXT,
    created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW()
);

-- Test Result Table
CREATE TABLE test_results (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    test_run_id UUID REFERENCES test_runs(id),
    test_suite VARCHAR(255) NOT NULL,
    test_case VARCHAR(255) NOT NULL,
    priority VARCHAR(10),
    status VARCHAR(50) NOT NULL,
    duration_ms BIGINT,
    started_at TIMESTAMP WITH TIME ZONE,
    completed_at TIMESTAMP WITH TIME ZONE,
    error_message TEXT,
    stack_trace TEXT,
    evidence_urls TEXT[],
    retry_count INTEGER DEFAULT 0,
    created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW()
);

-- Test Metrics Table
CREATE TABLE test_metrics (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    test_run_id UUID REFERENCES test_runs(id),
    metric_name VARCHAR(255) NOT NULL,
    metric_value DECIMAL(15,6),
    metric_unit VARCHAR(50),
    threshold DECIMAL(15,6),
    passed BOOLEAN,
    recorded_at TIMESTAMP WITH TIME ZONE DEFAULT NOW()
);

-- Test History / Trending
CREATE TABLE test_history (
    id BIGSERIAL PRIMARY KEY,
    test_suite VARCHAR(255) NOT NULL,
    test_case VARCHAR(255) NOT NULL,
    date DATE NOT NULL,
    pass_count INTEGER DEFAULT 0,
    fail_count INTEGER DEFAULT 0,
    avg_duration_ms BIGINT,
    success_rate DECIMAL(5,2),
    UNIQUE(test_suite, test_case, date)
);

-- Indexes for performance
CREATE INDEX idx_test_runs_started_at ON test_runs(started_at DESC);
CREATE INDEX idx_test_results_run_id ON test_results(test_run_id);
CREATE INDEX idx_test_results_suite_case ON test_results(test_suite, test_case);
CREATE INDEX idx_test_metrics_run_id ON test_metrics(test_run_id);
CREATE INDEX idx_test_history_lookup ON test_history(test_suite, test_case, date);

2.3.7 Test History and Trending

2.4 Report Generation

2.4.1 Report Types

2.4.2 Report Sections

REPORT STRUCTURE
================
1. HEADER
   - Report title and logo
   - Generation timestamp
   - Environment and version info
   - Report ID (UUID)

2. EXECUTIVE SUMMARY
   - Production Readiness Score (0-100)
   - Overall Pass/Fail status
   - Critical issues count
   - Recommendation (GO / GO WITH CAVEATS / NO-GO)

3. TEST RUN METADATA
   - Start/end time
   - Duration
   - Tests executed
   - Parallelism level
   - Environment details

4. SUMMARY TABLE
   - Per-suite summary
   - Pass/fail/skip counts
   - Duration per suite
   - Trend indicator (improving/declining)

5. DETAILED RESULTS
   - Per-test-case results
   - Duration and threshold comparison
   - Evidence links
   - Error details for failures

6. METRICS DASHBOARD
   - Key performance indicators
   - Threshold comparison charts
   - Historical trend charts

7. ISSUES AND RECOMMENDATIONS
   - Issues found with severity
   - Root cause analysis (auto)
   - Recommended actions

8. EVIDENCE APPENDIX
   - Screenshots
   - Log excerpts
   - Network captures
   - Performance graphs

2.4.3 Evidence Collection

2.4.4 Report Generation Pipeline

+------------------+     +------------------+     +------------------+
|  Test Results    |---->|  Data Aggregator |---->|  HTML Renderer   |
|  (PostgreSQL)    |     |  (Metrics + Logs)|     |  (Jinja2)        |
+------------------+     +------------------+     +--------+---------+
                                                          |
+------------------+     +------------------+     +-------v----------+
|  PDF Converter   |<----|  CSS Styling     |<----+  HTML Template    |
|  (WeasyPrint)    |     |  (Report Theme)  |     |  (Bootstrap)      |
+------------------+     +------------------+     +------------------+
         |
         v
+------------------+     +------------------+
|  Report Storage  |---->|  Distribution    |
|  (S3/MinIO)      |     |  (Email/Slack)   |
+------------------+     +------------------+

3. Deliverable 2: Sample Self-Test Report

AI Surveillance Platform - Automated Self-Test Report

Report ID: STR-2024-0620-034701
Generated: 2024-06-20 03:47:01 UTC
Environment: Production
Version: v2.3.1 (commit: a3f7c9d)
Test Framework: self-test-framework v1.0.0
Execution Mode: Scheduled (Daily 3:00 AM UTC)
Duration: 18 minutes 32 seconds
Previous Run: STR-2024-0619-034512 (PASS - Score: 97.2)

3.1 Executive Summary

Recommendation: System is suitable for production operations. Two minor issues identified require attention within 7 days but do not impact operational safety.

3.2 Test Run Metadata

TEST RUN: STR-2024-0620-034701
================================
Start Time:     2024-06-20 03:00:00 UTC
End Time:       2024-06-20 03:18:32 UTC
Total Duration: 1,112 seconds (18m 32s)

ENVIRONMENT
===========
Platform:       Ubuntu 22.04.4 LTS
Kernel:         5.15.0-113-generic
Architecture:   x86_64
CPU:            Intel(R) Xeon(R) E-2288G @ 3.70GHz (16 cores)
Memory:         64 GB DDR4
GPU:            NVIDIA RTX A4000 (16 GB)
Disk:           2TB NVMe (Usage: 42%)

SOFTWARE
========
Docker:         26.1.4
NVIDIA Driver:  550.78
CUDA:           12.4
Python:         3.11.9
OpenCV:         4.9.0
FFmpeg:         6.1.1
TensorRT:       8.6.3

NETWORK
=======
VPN Interface:  tun0 (UP)
VPN Endpoint:   10.8.0.1
DVR IP:         192.168.1.100
Internet:       Connected
DNS:            Operational

TARGET SYSTEM
=============
DVR:            CP PLUS CP-UVR-0801E1
Firmware:       4.0.2.0 build 240501
Channels:       8 (all configured)
ONVIF Version:  21.12

3.3 Summary Table

3.4 Production Readiness Score Calculation

SCORING METHODOLOGY
===================
Base Score: 100 points

P0 Test Failures:    -20 points per failure    =   0.0  (0 failures)
P1 Test Failures:    -10 points per failure    = -20.0  (2 failures)
P2 Test Failures:     -5 points per failure    =   0.0  (0 failures)
P3 Test Failures:     -2 points per failure    =   0.0  (0 failures)

Performance Penalties:
  RTSP latency > 2s:  -5 points (threshold: < 2000ms)   =   0.0  (p95: 180ms)
  VPN latency > 100ms: -5 points (threshold: < 100ms)     =   0.0  (avg: 42ms)
  Camera FPS < 5:     -3 points per camera                =   0.0  (all > 8 FPS)
  AI accuracy < 90%:  -10 points                          =   0.0  (detection: 94.2%)
  DB write > 50ms:    -3 points                           =   0.0  (avg: 12ms)
  Alert latency > 5s: -5 points                           =   0.0  (avg: 2.1s)
  Message delivery > 10s: -3 points                       =  -3.0  (Telegram: 11.8s)
  Recovery time > 60s: -10 points                         =   0.0  (avg: 28s)
  Memory growth > 100MB/day: -5 points                    =   0.0  (avg: 23MB/day)

Stability Bonus/Malus:
  Trend improving:    +2 points                           =   0.0  (declining -2.4)
  Trend declining:    -2 points                           =  -2.2  

CALCULATION:
  Base:       100.0
  Penalties:  -20.0 - 3.0 - 2.2 = -25.2
  ------------------------------------------------
  FINAL SCORE:  94.8 / 100

VERDICT: GO WITH CAVEATS (Score >= 90)
  - Score >= 95: GO
  - Score >= 90: GO WITH CAVEATS
  - Score >= 75: CONDITIONAL GO (requires approval)
  - Score < 75:  NO-GO

3.5 Detailed Results

TC-01: DVR Connectivity Tests -- PASS (11/11)

Evidence: RTSP handshake logs | ONVIF discovery XML | Network capture

TC-02: VPN Tunnel Health -- PASS (6/6)

Evidence: Ping statistics | iperf3 output

TC-03: Camera Stream Access -- PASS (12/12)

Evidence: Frame samples (8 images) | FPS measurement log

TC-04: Live Streaming -- PASS (7/7)

Evidence: Dashboard screenshot | HLS manifest

TC-05: Human Detection Pipeline -- PASS (7/7)

Evidence: Annotated frames | Metrics report

TC-06: Face Detection Pipeline -- PASS (7/7)

Evidence: Face crop samples | Detection accuracy report

TC-07: Face Recognition Pipeline -- PASS (7/7)

Evidence: Recognition results | Embedding analysis

TC-08: Unknown Person Clustering -- PASS (7/7)

Evidence: Cluster visualization | Quality metrics

TC-09: Alert Generation -- PASS (8/8)

Evidence: Alert records | Alert screenshots

TC-10: Telegram Delivery -- CAUTION (6/7)

ISSUE DETAILS:

• Severity: LOW
• Test: TC-10.01 Text Message Delivery
• Expected: Message delivered within 10s
• Actual: Message delivered in 11.8s (exceeded threshold by 1.8s)
• Root Cause: Elevated network latency to Telegram API endpoint (api.telegram.org) observed at 03:00 UTC. Traceroute shows additional 2 hops via transit provider.
• Impact: Minor delay in alert delivery. All messages still delivered successfully.
• Recommendation: Increase timeout threshold to 15s for Telegram delivery or implement adaptive timeout based on historical latency.

Evidence: Delivery log | Traceroute output | API timing breakdown

TC-11: WhatsApp Delivery -- PASS (7/7)

Evidence: API response logs | Webhook status

TC-12: Image Capture -- PASS (7/7)

Evidence: Sample images | Storage report

TC-13: Video Clip Capture -- PASS (8/8)

Evidence: Sample clips | ffprobe analysis

TC-14: Database Health -- PASS (8/8)

Evidence: Query timing logs | Connection pool metrics

TC-15: Storage Health -- PASS (7/7)

Evidence: Upload/download logs | Checksum verification

TC-16: Search & Retrieval -- CAUTION (7/8)

ISSUE DETAILS:

• Severity: LOW
• Test: TC-16.07 Search Performance
• Expected: Search query time < 500ms
• Actual: Query time 680ms (exceeded by 180ms)
• Root Cause: Elasticsearch index for face embeddings not fully optimized. Index contains 12,847 entries without force merge. Face similarity search requires k-NN calculation on unoptimized segments.
• Impact: Slightly slower search response for large galleries. User experience minimally affected.
• Recommendation: Schedule Elasticsearch index force merge during maintenance window. Consider increasing index.refresh_interval to 30s. Evaluate IVF index for larger galleries (>50K).

Evidence: Query timing breakdown | Elasticsearch profile | Index stats

TC-17: Training Workflow -- PASS (8/8)

Evidence: Training job logs | Metrics charts | Confusion matrix

TC-18: Admin Login Security -- PASS (10/10)

Evidence: Auth attempt logs | JWT token analysis

TC-19: RBAC Enforcement -- PASS (8/8)

Evidence: RBAC decision matrix | Audit trail

TC-20: System Restart Recovery -- PASS (8/8)

Evidence: Recovery timing log | Service status transitions

TC-21: Long-Run Stability -- PASS (8/8)

Evidence: 7-day memory graph | Disk usage graph | Stability report

3.6 Issues Found

No critical or high severity issues detected.

3.7 Trending Analysis

30-DAY TREND
============

Pass Rate Trend:
  Jun-01: 100% |xxxxxxxxxxxx|
  Jun-05:  99% |xxxxxxxxxxx | (1 skipped - maintenance)
  Jun-10: 100% |xxxxxxxxxxxx|
  Jun-15:  98% |xxxxxxxxxxx | (TC-10 borderline)
  Jun-20:  99% |xxxxxxxxxxx | (2 minor issues)
  
Production Readiness Score Trend:
  Jun-01: 99.5 |xxxxxxxxxxxxxxxxxxxx|
  Jun-05: 98.0 |xxxxxxxxxxxxxxxxxxx |
  Jun-10: 99.2 |xxxxxxxxxxxxxxxxxxxx|
  Jun-15: 97.2 |xxxxxxxxxxxxxxxxxxx |
  Jun-20: 94.8 |xxxxxxxxxxxxxxxxxx  |  <- Current (declining -2.4)

Performance Trend (7-day rolling average):
  RTSP latency:       178ms -> 180ms    (Stable)
  AI inference:       145ms -> 142ms    (Improving)
  DB write:           11ms  -> 12ms     (Stable)
  Search query:       320ms -> 420ms    (Declining - monitor)
  Telegram delivery:  6.2s  -> 8.5s     (Declining - action needed)

Stability Trend (7-day):
  Memory growth:      15 MB/day -> 18 MB/day    (Stable)
  Uptime:             99.97% -> 99.95%          (Stable)
  Recovery time:      25s -> 28s                 (Stable)

Trend Assessment: Overall stable with minor degradation in notification delivery latency and search performance. Both issues are within operational tolerances but should be addressed to prevent further decline.

3.8 Pass/Fail Summary

RESULT DISTRIBUTION
===================

  PASSED:  xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 168 (98.8%)
  FAILED:  x                                              2  (1.2%)
  SKIPPED:                                                0  (0.0%)
  ERROR:                                                  0  (0.0%)

  CRITICAL (P0):  37/37  PASSED  (100%)
  HIGH (P1):     103/105 PASSED  (98.1%)
  MEDIUM (P2):     8/8   PASSED  (100%)
  LOW (P3):      20/20  PASSED  (100%)

GO/NO-GO DECISION
=================
  Score: 94.8 / 100
  P0 Status: ALL PASSED
  P1 Status: 2 minor issues (LOW severity)
  
  DECISION: GO WITH CAVEATS
  
  Conditions for full GO:
    1. Resolve ISS-2024-0620-01 (Telegram latency)
    2. Resolve ISS-2024-0620-02 (Search performance)
  
  Escalation required: NO
  Management approval required: NO
  Next assessment: 2024-06-21 03:00 UTC

3.9 Evidence Archive

Total Evidence Size: 87.4 MB
Retention: 90 days (expires: 2024-09-18)

4. Deliverable 3: Go-Live Readiness Checklist

4.1 Checklist Overview

The Go-Live Readiness Checklist is a comprehensive validation framework used to certify the AI Surveillance Platform for production deployment. Each item must be verified and signed off by the designated owner before the system can be promoted to production.

Scoring:

• PASS: Item fully meets criteria
• CONDITIONAL: Item meets criteria with documented caveats
• FAIL: Item does not meet criteria - must be resolved
• N/A: Item not applicable to this deployment

4.2 Infrastructure Readiness

Infrastructure Readiness Score: 14/15 = 93.3%

4.3 Security Readiness

Security Readiness Score: 15/15 = 100%

4.4 AI Pipeline Readiness

AI Pipeline Readiness Score: 14/15 = 93.3%

4.5 Integration Readiness

Integration Readiness Score: 12/14 = 85.7%

4.6 Data Readiness

Data Readiness Score: 9/9 = 100%

4.7 Operational Readiness

Operational Readiness Score: 14/15 = 93.3%

4.8 Compliance Readiness

Compliance Readiness Score: 15/15 = 100%

4.9 Go-Live Readiness Summary

FINAL GO-LIVE READINESS SCORE: 94.52 / 100

GO-LIVE DECISION: APPROVED WITH MINOR CAVEATS

Conditions to Address (Non-Blocking):

1. INF-07: Load balancer documentation (N/A for single node - document rationale)
2. AI-11: Night mode performance improvement - scheduled for v2.3.2
3. INT-04: Telegram delivery latency optimization - target < 8s
4. INT-09: Search query performance optimization - target < 400ms
5. OPS-07: Full DR rehearsal - scheduled for next maintenance window

Blocking Issues: None identified.

Required Sign-Offs:

Next Review Date: 2024-07-20 (30 days post go-live)

5. Appendices

Appendix A: Test Framework API Specification

openapi: 3.0.0
info:
  title: Self-Test Framework API
  version: 1.0.0
paths:
  /api/v1/tests/run:
    post:
      summary: Execute test suite
      requestBody:
        content:
          application/json:
            schema:
              type: object
              properties:
                suite:
                  type: string
                  enum: [full, health_check, dvr, vpn, ai_pipeline, notifications, security, custom]
                tests:
                  type: array
                  items:
                    type: string
                priority:
                  type: string
                  enum: [p0, p1, p2, p3, all]
                environment:
                  type: string
      responses:
        202:
          description: Test run accepted
          content:
            application/json:
              schema:
                type: object
                properties:
                  run_id:
                    type: string
                    format: uuid
                  status:
                    type: string
                    enum: [queued, running]
                  estimated_duration:
                    type: integer

  /api/v1/tests/status/{run_id}:
    get:
      summary: Get test run status
      parameters:
        - name: run_id
          in: path
          required: true
          schema:
            type: string
            format: uuid
      responses:
        200:
          description: Test run status
          content:
            application/json:
              schema:
                type: object
                properties:
                  run_id:
                    type: string
                  status:
                    type: string
                    enum: [queued, running, completed, failed, cancelled]
                  progress:
                    type: object
                    properties:
                      total:
                        type: integer
                      completed:
                        type: integer
                      passed:
                        type: integer
                      failed:
                        type: integer
                  started_at:
                    type: string
                    format: date-time
                  estimated_completion:
                    type: string
                    format: date-time

  /api/v1/tests/results/{run_id}:
    get:
      summary: Get test run results
      parameters:
        - name: run_id
          in: path
          required: true
          schema:
            type: string
            format: uuid
        - name: format
          in: query
          schema:
            type: string
            enum: [json, html, pdf]
            default: json
      responses:
        200:
          description: Test results

  /api/v1/tests/history:
    get:
      summary: Get test history
      parameters:
        - name: suite
          in: query
          schema:
            type: string
        - name: days
          in: query
          schema:
            type: integer
            default: 30
      responses:
        200:
          description: Historical test data

  /api/v1/tests/schedule:
    get:
      summary: Get test schedule
      responses:
        200:
          description: Current schedule configuration
    put:
      summary: Update test schedule
      requestBody:
        content:
          application/json:
            schema:
              type: object
              properties:
                cron:
                  type: string
                enabled:
                  type: boolean
      responses:
        200:
          description: Schedule updated

  /api/v1/health:
    get:
      summary: Framework health check
      responses:
        200:
          description: Framework is healthy

Appendix B: Sample Test Runner Code

#!/usr/bin/env python3
"""
Self-Test Framework Runner
AI Surveillance Platform - Quality Assurance
"""

import asyncio
import logging
import time
from dataclasses import dataclass, field
from datetime import datetime, timezone
from enum import Enum
from pathlib import Path
from typing import Any

import pytest
from prometheus_client import Counter, Histogram, Gauge

# Metrics
TEST_RUNS_TOTAL = Counter("selftest_runs_total", "Total test runs", ["status"])
TEST_DURATION = Histogram("selftest_duration_seconds", "Test duration")
TEST_RESULTS = Counter("selftest_results_total", "Test results", ["suite", "status"])
READINESS_SCORE = Gauge("selftest_readiness_score", "Production readiness score")


class TestPriority(Enum):
    P0 = "critical"
    P1 = "high"
    P2 = "medium"
    P3 = "low"


class TestStatus(Enum):
    PASSED = "passed"
    FAILED = "failed"
    SKIPPED = "skipped"
    ERROR = "error"
    RUNNING = "running"


@dataclass
class TestResult:
    """Individual test case result"""
    suite: str
    case_id: str
    case_name: str
    priority: TestPriority
    status: TestStatus
    duration_ms: int
    started_at: datetime
    completed_at: datetime
    error_message: str = ""
    stack_trace: str = ""
    evidence_urls: list[str] = field(default_factory=list)
    metrics: dict[str, Any] = field(default_factory=dict)


@dataclass
class TestSuiteResult:
    """Test suite execution result"""
    suite_name: str
    suite_id: str
    priority: TestPriority
    started_at: datetime
    completed_at: datetime
    results: list[TestResult] = field(default_factory=list)
    
    @property
    def total_tests(self) -> int:
        return len(self.results)
    
    @property
    def passed(self) -> int:
        return sum(1 for r in self.results if r.status == TestStatus.PASSED)
    
    @property
    def failed(self) -> int:
        return sum(1 for r in self.results if r.status == TestStatus.FAILED)
    
    @property
    def duration_ms(self) -> int:
        if self.completed_at and self.started_at:
            return int((self.completed_at - self.started_at).total_seconds() * 1000)
        return 0


@dataclass
class TestRun:
    """Complete test run result"""
    run_id: str
    run_name: str
    environment: str
    version: str
    started_at: datetime
    completed_at: datetime | None = None
    suite_results: list[TestSuiteResult] = field(default_factory=list)
    production_readiness_score: float = 0.0
    
    @property
    def total_tests(self) -> int:
        return sum(s.total_tests for s in self.suite_results)
    
    @property
    def total_passed(self) -> int:
        return sum(s.passed for s in suite_results)
    
    @property
    def total_failed(self) -> int:
        return sum(s.failed for s in suite_results)
    
    @property
    def status(self) -> str:
        if self.total_failed == 0:
            return "PASSED"
        p0_failed = sum(
            1 for s in self.suite_results 
            for r in s.results 
            if r.priority == TestPriority.P0 and r.status == TestStatus.FAILED
        )
        if p0_failed > 0:
            return "FAILED"
        return "CAUTION"


class TestRunner:
    """Main test execution orchestrator"""
    
    def __init__(self, config_path: str):
        self.config = self._load_config(config_path)
        self.logger = logging.getLogger("selftest.runner")
        self.results_dir = Path("/data/test_results")
        self.evidence_dir = Path("/data/evidence")
        
    def _load_config(self, path: str) -> dict:
        import yaml
        with open(path) as f:
            return yaml.safe_load(f)
    
    async def run_suite(self, suite_name: str) -> TestSuiteResult:
        """Execute a single test suite"""
        self.logger.info(f"Starting test suite: {suite_name}")
        
        suite_result = TestSuiteResult(
            suite_name=suite_name,
            suite_id=f"TC-{suite_name.split('_')[0].upper()}",
            priority=TestPriority.P1,
            started_at=datetime.now(timezone.utc)
        )
        
        # Execute pytest for the suite
        test_path = f"tests/suites/{suite_name}/"
        exit_code = pytest.main([
            test_path,
            "-v",
            "--json-report",
            f"--json-report-file={self.results_dir}/{suite_name}.json",
            f"--evidence-dir={self.evidence_dir}/{suite_name}/"
        ])
        
        suite_result.completed_at = datetime.now(timezone.utc)
        
        # Parse results and update metrics
        TEST_RESULTS.labels(suite=suite_name, status="passed").inc(suite_result.passed)
        if suite_result.failed > 0:
            TEST_RESULTS.labels(suite=suite_name, status="failed").inc(suite_result.failed)
        
        self.logger.info(
            f"Suite {suite_name} completed: "
            f"{suite_result.passed}/{suite_result.total_tests} passed "
            f"in {suite_result.duration_ms}ms"
        )
        
        return suite_result
    
    async def run_all(self) -> TestRun:
        """Execute all test suites"""
        run_id = f"STR-{datetime.now(timezone.utc).strftime('%Y%m%d-%H%M%S')}"
        
        test_run = TestRun(
            run_id=run_id,
            run_name=f"Daily Full Suite - {datetime.now(timezone.utc).isoformat()}",
            environment=self.config["framework"]["environment"],
            version=self.config["framework"]["version"],
            started_at=datetime.now(timezone.utc)
        )
        
        # Execute suites in priority order with parallel groups
        execution_plan = self._build_execution_plan()
        
        for level in execution_plan:
            # Suites within same level can run in parallel
            tasks = [self.run_suite(suite) for suite in level]
            results = await asyncio.gather(*tasks, return_exceptions=True)
            
            for result in results:
                if isinstance(result, TestSuiteResult):
                    test_run.suite_results.append(result)
                else:
                    self.logger.error(f"Suite execution failed: {result}")
        
        test_run.completed_at = datetime.now(timezone.utc)
        
        # Calculate readiness score
        test_run.production_readiness_score = self._calculate_score(test_run)
        READINESS_SCORE.set(test_run.production_readiness_score)
        
        # Record metrics
        TEST_RUNS_TOTAL.labels(status=test_run.status.lower()).inc()
        
        # Generate report
        await self._generate_report(test_run)
        
        return test_run
    
    def _build_execution_plan(self) -> list[list[str]]:
        """Build parallel execution plan based on dependencies"""
        return [
            ["dvr_connectivity", "vpn_health", "database_health", "storage_health"],
            ["camera_stream_access", "live_streaming"],
            ["human_detection", "face_detection", "face_recognition"],
            ["unknown_clustering", "alert_generation"],
            ["telegram_delivery", "whatsapp_delivery", "image_capture", "video_clip_capture"],
            ["search_retrieval", "training_workflow"],
            ["admin_login_security", "rbac_enforcement"],
            ["restart_recovery"],
        ]
    
    def _calculate_score(self, test_run: TestRun) -> float:
        """Calculate production readiness score"""
        score = 100.0
        
        # P0 failures
        p0_failures = sum(
            1 for s in test_run.suite_results 
            for r in s.results 
            if r.priority == TestPriority.P0 and r.status == TestStatus.FAILED
        )
        score -= p0_failures * 20
        
        # P1 failures
        p1_failures = sum(
            1 for s in test_run.suite_results 
            for r in s.results 
            if r.priority == TestPriority.P1 and r.status == TestStatus.FAILED
        )
        score -= p1_failures * 10
        
        # Clamp to minimum 0
        return max(0.0, score)
    
    async def _generate_report(self, test_run: TestRun):
        """Generate HTML and PDF reports"""
        from report_generator import ReportGenerator
        
        generator = ReportGenerator(self.config)
        await generator.generate(test_run)
        
        self.logger.info(f"Reports generated for run {test_run.run_id}")


# Entry point
if __name__ == "__main__":
    import sys
    
    logging.basicConfig(
        level=logging.INFO,
        format="%(asctime)s [%(levelname)s] %(name)s: %(message)s"
    )
    
    config_path = sys.argv[1] if len(sys.argv) > 1 else "config/self_test.yaml"
    runner = TestRunner(config_path)
    
    result = asyncio.run(runner.run_all())
    
    print(f"\n{'='*60}")
    print(f"Test Run: {result.run_id}")
    print(f"Status: {result.status}")
    print(f"Score: {result.production_readiness_score:.1f}/100")
    print(f"Tests: {result.total_passed}/{result.total_tests} passed")
    print(f"{'='*60}")
    
    sys.exit(0 if result.status != "FAILED" else 1)

Appendix C: Test Configuration Example

# tests/fixtures/test_config.yaml
dvr:
  channels:
    - id: 1
      name: "Front Entrance"
      rtsp_url: "rtsp://192.168.1.100:554/stream1"
      resolution: [960, 1080]
      expected_fps: 15
    - id: 2
      name: "Lobby"
      rtsp_url: "rtsp://192.168.1.100:554/stream2"
      resolution: [960, 1080]
      expected_fps: 15
    # ... channels 3-8

  credentials:
    username: "${DVR_USERNAME}"
    password: "${DVR_PASSWORD}"

  thresholds:
    rtsp_handshake_ms: 2000
    min_fps: 5
    max_latency_ms: 5000

ai_models:
  human_detection:
    model_path: "/models/yolov8x-human.onnx"
    confidence_threshold: 0.7
    expected_map: 0.90
    max_inference_ms: 200
    
  face_detection:
    model_path: "/models/retinaface.onnx"
    confidence_threshold: 0.6
    expected_detection_rate: 0.85
    max_inference_ms: 100
    
  face_recognition:
    model_path: "/models/arcface-r100.onnx"
    embedding_dim: 512
    expected_rank1_accuracy: 0.95
    max_search_ms: 100

notifications:
  telegram:
    bot_token: "${TELEGRAM_BOT_TOKEN}"
    chat_id: "${TELEGRAM_CHAT_ID}"
    max_delivery_seconds: 10
    retry_count: 3
    
  whatsapp:
    api_token: "${WHATSAPP_API_TOKEN}"
    phone_number_id: "${WHATSAPP_PHONE_ID}"
    max_delivery_seconds: 10
    retry_count: 3

storage:
  type: "minio"
  endpoint: "minio.internal:9000"
  bucket: "surveillance-media"
  region: "us-east-1"
  access_key: "${MINIO_ACCESS_KEY}"
  secret_key: "${MINIO_SECRET_KEY}"
  max_upload_seconds: 5

database:
  host: "postgres.internal"
  port: 5432
  database: "surveillance"
  username: "${DB_USER}"
  password: "${DB_PASSWORD}"
  max_write_ms: 50
  max_read_ms: 30
  connection_pool_size: 50

thresholds:
  production_readiness:
    go: 95
    go_with_caveats: 90
    conditional_go: 75

Appendix D: Threshold Reference

Appendix E: Report Distribution Matrix

Appendix F: Revision History

End of Document

Document Classification: Internal - Production Readiness
Next Review Date: 2024-07-20
Document Owner: QA Architecture Team
Distribution: QA, Engineering, Platform, Security, Operations, Compliance, Management