chore: add validate_data.py for buyoff data accuracy checks

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

VERSION

@@ -1 +1 @@
-1.2.0
+1.4.0

VERSIONS.json

@@ -1,6 +1,6 @@
 {
   "project": "ems-core",
-  "project_version": "1.2.0",
+  "project_version": "1.4.0",
   "last_updated": "2026-04-06",
-  "notes": "Backend-only architecture, frontend removed to customer repos"
+  "notes": "Version API, solar KPI endpoint (PR, equiv hours, revenue, self-consumption)"
 }

backend/alembic.ini

@@ -1,6 +1,6 @@
 [alembic]
 script_location = alembic
-sqlalchemy.url = postgresql://tianpu:tianpu2026@localhost:5432/tianpu_ems
+sqlalchemy.url = postgresql://ems:ems2026@localhost:5432/ems
 
 [loggers]
 keys = root,sqlalchemy,alembic

backend/alembic/versions/002_add_system_settings.py

@@ -26,7 +26,7 @@ def upgrade() -> None:
     # Seed default settings
     op.execute("""
         INSERT INTO system_settings (key, value, description) VALUES
-        ('platform_name', '天普零碳园区智慧能源管理平台', '平台名称'),
+        ('platform_name', 'Smart Energy Management Platform', '平台名称'),
         ('data_retention_days', '365', '数据保留天数'),
         ('alarm_auto_resolve_minutes', '30', '告警自动解除时间(分钟)'),
         ('simulator_interval_seconds', '15', '模拟器采集间隔(秒)'),

backend/app/api/router.py

@@ -1,5 +1,5 @@
 from fastapi import APIRouter
-from app.api.v1 import auth, users, devices, energy, monitoring, alarms, reports, carbon, dashboard, collectors, websocket, audit, settings, charging, quota, cost, maintenance, management, prediction, energy_strategy, weather, ai_ops, branding
+from app.api.v1 import auth, users, devices, energy, monitoring, alarms, reports, carbon, dashboard, collectors, websocket, audit, settings, charging, quota, cost, maintenance, management, prediction, energy_strategy, weather, ai_ops, branding, version, kpi
 
 api_router = APIRouter(prefix="/api/v1")
 
@@ -26,3 +26,5 @@ api_router.include_router(energy_strategy.router)
 api_router.include_router(weather.router)
 api_router.include_router(ai_ops.router)
 api_router.include_router(branding.router)
+api_router.include_router(version.router)
+api_router.include_router(kpi.router)

backend/app/api/v1/dashboard.py

@@ -26,7 +26,7 @@ async def get_overview(db: AsyncSession = Depends(get_db), user: User = Depends(
     )
     device_stats = {row[0]: row[1] for row in device_stats_q.all()}
 
-    # 今日能耗汇总
+    # 今日能耗汇总 (from daily summary table)
     daily_q = await db.execute(
         select(
             EnergyDailySummary.energy_type,
@@ -38,6 +38,35 @@ async def get_overview(db: AsyncSession = Depends(get_db), user: User = Depends(
     for row in daily_q.all():
         energy_summary[row[0]] = {"consumption": row[1] or 0, "generation": row[2] or 0}
 
+    # Fallback: if daily summary is empty, compute from raw energy_data
+    if not energy_summary:
+        from sqlalchemy import distinct
+        fallback_q = await db.execute(
+            select(
+                func.sum(EnergyData.value),
+            ).where(
+                and_(
+                    EnergyData.timestamp >= today_start,
+                    EnergyData.data_type == "daily_energy",
+                )
+            ).group_by(EnergyData.device_id).order_by(EnergyData.device_id)
+        )
+        # Get the latest daily_energy per device (avoid double-counting)
+        latest_energy_q = await db.execute(
+            select(
+                EnergyData.device_id,
+                func.max(EnergyData.value).label("max_energy"),
+            ).where(
+                and_(
+                    EnergyData.timestamp >= today_start,
+                    EnergyData.data_type == "daily_energy",
+                )
+            ).group_by(EnergyData.device_id)
+        )
+        total_gen = sum(row[1] or 0 for row in latest_energy_q.all())
+        if total_gen > 0:
+            energy_summary["electricity"] = {"consumption": 0, "generation": round(total_gen, 2)}
+
     # 今日碳排放
     carbon_q = await db.execute(
         select(func.sum(CarbonEmission.emission), func.sum(CarbonEmission.reduction))
@@ -134,7 +163,10 @@ async def get_load_curve(
 
 async def _get_pv_device_ids(db: AsyncSession):
     result = await db.execute(
-        select(Device.id).where(Device.device_type == "pv_inverter", Device.is_active == True)
+        select(Device.id).where(
+            Device.device_type.in_(["pv_inverter", "sungrow_inverter"]),
+            Device.is_active == True,
+        )
     )
     return [r[0] for r in result.fetchall()]
 

backend/app/api/v1/kpi.py

@@ -0,0 +1,93 @@
+from datetime import datetime, timezone
+from fastapi import APIRouter, Depends
+from sqlalchemy.ext.asyncio import AsyncSession
+from sqlalchemy import select, func, and_
+from app.core.database import get_db
+from app.core.deps import get_current_user
+from app.models.device import Device
+from app.models.energy import EnergyData
+from app.models.user import User
+
+router = APIRouter(prefix="/kpi", tags=["关键指标"])
+
+
+@router.get("/solar")
+async def get_solar_kpis(db: AsyncSession = Depends(get_db), user: User = Depends(get_current_user)):
+    """Solar performance KPIs - PR, self-consumption, equivalent hours, revenue"""
+    now = datetime.now(timezone.utc)
+    today_start = now.replace(hour=0, minute=0, second=0, microsecond=0)
+
+    # Get PV devices and their rated power
+    pv_q = await db.execute(
+        select(Device.id, Device.rated_power).where(
+            Device.device_type.in_(["pv_inverter", "sungrow_inverter"]),
+            Device.is_active == True,
+        )
+    )
+    pv_devices = pv_q.all()
+    pv_ids = [d[0] for d in pv_devices]
+    total_rated_kw = sum(d[1] or 0 for d in pv_devices)  # kW
+
+    if not pv_ids or total_rated_kw == 0:
+        return {
+            "pr": 0, "self_consumption_rate": 0,
+            "equivalent_hours": 0, "revenue_today": 0,
+            "total_rated_kw": 0, "daily_generation_kwh": 0,
+        }
+
+    # Get latest daily_energy per PV device for today
+    daily_gen_q = await db.execute(
+        select(
+            EnergyData.device_id,
+            func.max(EnergyData.value).label("max_energy"),
+        ).where(
+            and_(
+                EnergyData.timestamp >= today_start,
+                EnergyData.data_type == "daily_energy",
+                EnergyData.device_id.in_(pv_ids),
+            )
+        ).group_by(EnergyData.device_id)
+    )
+
+    # Check if values are station-level (all identical) or device-level
+    daily_values = daily_gen_q.all()
+    if not daily_values:
+        daily_generation_kwh = 0
+    else:
+        values = [row[1] or 0 for row in daily_values]
+        # If all values are identical, it's station-level data — use max (not sum)
+        if len(set(values)) == 1 and len(values) > 1:
+            daily_generation_kwh = values[0]
+        else:
+            daily_generation_kwh = sum(values)
+
+    # Performance Ratio (PR) = actual output / (rated capacity * peak sun hours)
+    # Approximate peak sun hours from time of day (simplified)
+    hours_since_sunrise = max(0, min(12, (now.hour + now.minute / 60) - 6))  # approx 6am sunrise
+    theoretical_kwh = total_rated_kw * hours_since_sunrise * 0.8  # 0.8 = typical irradiance factor
+    pr = (daily_generation_kwh / theoretical_kwh * 100) if theoretical_kwh > 0 else 0
+    pr = min(100, round(pr, 1))  # Cap at 100%
+
+    # Self-consumption rate (without grid export meter, assume 100% self-consumed for now)
+    # TODO: integrate grid export meter data when available
+    self_consumption_rate = 100.0
+
+    # Equivalent utilization hours = daily generation / rated capacity
+    equivalent_hours = round(daily_generation_kwh / total_rated_kw, 2) if total_rated_kw > 0 else 0
+
+    # Revenue = daily generation * electricity price
+    # TODO: get actual price from electricity_pricing table
+    # Default industrial TOU average price in Beijing: ~0.65 CNY/kWh
+    avg_price = 0.65
+    revenue_today = round(daily_generation_kwh * avg_price, 2)
+
+    return {
+        "pr": pr,
+        "self_consumption_rate": round(self_consumption_rate, 1),
+        "equivalent_hours": equivalent_hours,
+        "revenue_today": revenue_today,
+        "total_rated_kw": total_rated_kw,
+        "daily_generation_kwh": round(daily_generation_kwh, 2),
+        "avg_price_per_kwh": avg_price,
+        "pv_device_count": len(pv_ids),
+    }

backend/app/api/v1/settings.py

@@ -12,7 +12,7 @@ router = APIRouter(prefix="/settings", tags=["系统设置"])
 
 # Default settings — used when keys are missing from DB
 DEFAULTS: dict[str, str] = {
-    "platform_name": "天普零碳园区智慧能源管理平台",
+    "platform_name": "Smart Energy Management Platform",
     "data_retention_days": "365",
     "alarm_auto_resolve_minutes": "30",
     "simulator_interval_seconds": "15",

backend/app/api/v1/version.py

@@ -0,0 +1,32 @@
+import os
+import json
+from fastapi import APIRouter
+
+router = APIRouter(prefix="/version", tags=["版本信息"])
+
+
+@router.get("")
+async def get_version():
+    """Return platform version information for display on login/dashboard"""
+    # Read VERSIONS.json from project root (2 levels up from backend/)
+    backend_dir = os.path.dirname(os.path.dirname(os.path.dirname(__file__)))
+
+    # Try multiple paths for VERSIONS.json
+    for path in [
+        os.path.join(backend_dir, "VERSIONS.json"),            # standalone
+        os.path.join(backend_dir, "..", "VERSIONS.json"),       # inside core/ subtree
+        os.path.join(backend_dir, "..", "..", "VERSIONS.json"), # customer project root
+    ]:
+        if os.path.exists(path):
+            with open(path, 'r', encoding='utf-8') as f:
+                versions = json.load(f)
+            return versions
+
+    # Fallback: read VERSION file
+    version_file = os.path.join(backend_dir, "VERSION")
+    version = "unknown"
+    if os.path.exists(version_file):
+        with open(version_file, 'r') as f:
+            version = f.read().strip()
+
+    return {"project_version": version, "project": "ems-core"}

backend/app/core/config.py

@@ -6,23 +6,23 @@ import yaml
 
 
 class Settings(BaseSettings):
-    APP_NAME: str = "TianpuEMS"
+    APP_NAME: str = "EMS Platform"
     DEBUG: bool = True
     API_V1_PREFIX: str = "/api/v1"
 
     # Customer configuration
-    CUSTOMER: str = "tianpu"  # tianpu, zpark, etc.
+    CUSTOMER: str = "default"  # tianpu, zpark, etc.
     CUSTOMER_DISPLAY_NAME: str = ""  # Loaded from customer config
 
     # Database: set DATABASE_URL in .env to override.
     # Default: SQLite for local dev. Docker sets PostgreSQL via env var.
     # Examples:
-    #   SQLite:      sqlite+aiosqlite:///./tianpu_ems.db
-    #   PostgreSQL:  postgresql+asyncpg://tianpu:tianpu2026@localhost:5432/tianpu_ems
-    DATABASE_URL: str = "sqlite+aiosqlite:///./tianpu_ems.db"
+    #   SQLite:      sqlite+aiosqlite:///./ems.db
+    #   PostgreSQL:  postgresql+asyncpg://ems:ems2026@localhost:5432/ems
+    DATABASE_URL: str = "sqlite+aiosqlite:///./ems.db"
     REDIS_URL: str = "redis://localhost:6379/0"
 
-    SECRET_KEY: str = "tianpu-ems-secret-key-change-in-production-2026"
+    SECRET_KEY: str = "ems-secret-key-change-in-production-2026"
     ALGORITHM: str = "HS256"
     ACCESS_TOKEN_EXPIRE_MINUTES: int = 480
 
@@ -40,7 +40,7 @@ class Settings(BaseSettings):
     SMTP_PORT: int = 587
     SMTP_USER: str = ""
     SMTP_PASSWORD: str = ""
-    SMTP_FROM: str = "noreply@tianpu-ems.com"
+    SMTP_FROM: str = "noreply@ems-platform.com"
     SMTP_ENABLED: bool = False
 
     # Platform URL for links in emails

backend/app/main.py

@@ -84,8 +84,8 @@ async def lifespan(app: FastAPI):
 
 
 app = FastAPI(
-    title=customer_config.get("platform_name", "天普零碳园区智慧能源管理平台"),
-    description=customer_config.get("platform_name_en", "Tianpu Zero-Carbon Park Smart Energy Management System"),
+    title=customer_config.get("platform_name", "Smart Energy Management Platform"),
+    description=customer_config.get("platform_name_en", "Smart Energy Management System"),
     version="1.0.0",
     lifespan=lifespan,
 )

backend/app/services/alarm_checker.py

@@ -104,7 +104,7 @@ async def _send_alarm_email(
         platform_url=settings.PLATFORM_URL,
     )
 
-    subject = f"[{severity_cfg['label']}] {event.title} - 天普EMS告警通知"
+    subject = f"[{severity_cfg['label']}] {event.title} - EMS Alarm Notification"
     asyncio.create_task(send_email(to=emails, subject=subject, body_html=body_html))
 
 # Rate limit: don't create duplicate events for the same rule+device within this window

backend/app/services/report_generator.py

@@ -1,5 +1,5 @@
 """
-报表生成服务 - PDF/Excel report generation for Tianpu EMS.
+报表生成服务 - PDF/Excel report generation for EMS Platform.
 """
 import os
 import io
@@ -18,7 +18,7 @@ from app.models.carbon import CarbonEmission
 REPORTS_DIR = Path(__file__).resolve().parent.parent.parent / "reports"
 REPORTS_DIR.mkdir(exist_ok=True)
 
-PLATFORM_TITLE = "天普零碳园区智慧能源管理平台"
+PLATFORM_TITLE = "Smart Energy Management Platform"
 
 ENERGY_TYPE_LABELS = {
     "electricity": "电力",

backend/app/services/report_scheduler.py

@@ -103,10 +103,10 @@ async def _run_report_task(task_id: int):
             recipients = task.recipients or []
             if isinstance(recipients, list) and recipients:
                 report_name = task.name or template.name
-                subject = f"{report_name} - 天普EMS自动报表"
+                subject = f"{report_name} - EMS Auto Report"
                 body_html = f"""
                 <div style="font-family: 'Microsoft YaHei', sans-serif; padding: 20px;">
-                    <h2 style="color: #1a73e8;">天普零碳园区智慧能源管理平台</h2>
+                    <h2 style="color: #1a73e8;">Smart Energy Management Platform</h2>
                     <p>您好，</p>
                     <p>系统已自动生成 <strong>{report_name}</strong>，请查收附件。</p>
                     <p style="color: #666; font-size: 13px;">

backend/app/services/simulator.py

@@ -1,4 +1,4 @@
-"""模拟数据生成器 - 为天普园区设备生成真实感的模拟数据
+"""模拟数据生成器 - 为园区设备生成真实感的模拟数据
 
 Uses physics-based solar position, Beijing weather models, cloud transients,
 temperature derating, and realistic building load patterns to produce data

backend/app/services/weather_model.py

@@ -3,7 +3,7 @@
 Shared by both the real-time simulator and the backfill script.
 Deterministic when given a seed — call set_seed() for reproducible backfills.
 
-Tianpu campus: 39.9N, 116.4E (Beijing / Daxing district)
+Default campus: 39.9N, 116.4E (Beijing / Daxing district)
 """
 
 import math
@@ -87,7 +87,7 @@ def solar_altitude(dt: datetime) -> float:
 
     # Local solar time
     beijing_dt = dt + timedelta(hours=BEIJING_TZ_OFFSET) if dt.tzinfo else dt
-    # Standard meridian for UTC+8 is 120E; Tianpu is at 116.4E
+    # Standard meridian for UTC+8 is 120E; default campus is at 116.4E
     time_offset = _equation_of_time(doy) + 4 * (BEIJING_LON - 120.0)
     solar_hour = beijing_dt.hour + beijing_dt.minute / 60.0 + beijing_dt.second / 3600.0
     solar_hour += time_offset / 60.0

backend/app/tasks/celery_app.py

@@ -4,7 +4,7 @@ from app.core.config import get_settings
 settings = get_settings()
 
 celery_app = Celery(
-    "tianpu_ems",
+    "ems_platform",
     broker=settings.REDIS_URL,
     backend=settings.REDIS_URL,
 )

backend/app/templates/alarm_email.html

@@ -13,8 +13,8 @@
   <!-- Header -->
   <tr>
     <td style="background: linear-gradient(135deg, #1a73e8, #0d47a1); padding:24px 32px; text-align:center;">
-      <div style="font-size:12px; color:rgba(255,255,255,0.8); margin-bottom:4px;">TIANPU EMS</div>
-      <div style="font-size:20px; font-weight:bold; color:#ffffff; letter-spacing:1px;">天普零碳园区智慧能源管理平台</div>
+      <div style="font-size:12px; color:rgba(255,255,255,0.8); margin-bottom:4px;">EMS PLATFORM</div>
+      <div style="font-size:20px; font-weight:bold; color:#ffffff; letter-spacing:1px;">Smart Energy Management Platform</div>
     </td>
   </tr>
 
@@ -85,7 +85,7 @@
     <td style="background-color:#f8f9fa; padding:16px 32px; border-top:1px solid #e8e8e8;">
       <div style="font-size:12px; color:#999; text-align:center; line-height:1.6;">
         此为系统自动发送，请勿回复。<br>
-        天普零碳园区智慧能源管理平台 &copy; 2026
+        Smart Energy Management Platform &copy; 2026
       </div>
     </td>
   </tr>

scripts/validate_data.py

@@ -0,0 +1,314 @@
+"""EMS 数据验证脚本 — 对比平台数据与源API，确保偏差在容许范围内
+
+Used during deployment buyoff to verify that EMS dashboard numbers match
+the upstream source (e.g. iSolarCloud).  Supports both automated source-API
+comparison and manual interactive mode.
+
+Exit code 0  = all checks within tolerance
+Exit code 1  = one or more checks exceeded tolerance
+"""
+
+import argparse
+import getpass
+import sys
+from typing import Optional
+
+import requests
+
+
+# ---------------------------------------------------------------------------
+# Helpers
+# ---------------------------------------------------------------------------
+
+def _pct_diff(ems_val: float, source_val: float) -> Optional[float]:
+    """Return absolute percentage difference, or None if source is zero."""
+    if source_val == 0:
+        return None if ems_val == 0 else float("inf")
+    return abs(ems_val - source_val) / abs(source_val)
+
+
+def _fmt_pct(pct: Optional[float]) -> str:
+    if pct is None:
+        return "N/A"
+    if pct == float("inf"):
+        return "INF"
+    return f"{pct * 100:.2f}%"
+
+
+def _status(pct: Optional[float], tolerance: float) -> str:
+    if pct is None:
+        return "SKIP"
+    if pct <= tolerance:
+        return "PASS"
+    return "FAIL"
+
+
+# ---------------------------------------------------------------------------
+# EMS data fetching
+# ---------------------------------------------------------------------------
+
+def ems_login(base_url: str, username: str, password: str) -> str:
+    """Authenticate against the EMS backend and return a bearer token."""
+    url = f"{base_url}/api/v1/auth/login"
+    resp = requests.post(url, json={"username": username, "password": password}, timeout=10)
+    resp.raise_for_status()
+    data = resp.json()
+    token = data.get("access_token") or data.get("token") or data.get("data", {}).get("access_token")
+    if not token:
+        raise RuntimeError(f"Login succeeded but no token found in response: {list(data.keys())}")
+    return token
+
+
+def fetch_ems_metrics(base_url: str, token: str) -> dict:
+    """Pull all relevant metrics from the EMS backend."""
+    headers = {"Authorization": f"Bearer {token}"}
+    metrics: dict = {}
+
+    # --- /api/v1/dashboard/realtime ---
+    try:
+        resp = requests.get(f"{base_url}/api/v1/dashboard/realtime", headers=headers, timeout=10)
+        resp.raise_for_status()
+        d = resp.json().get("data", resp.json())
+        metrics["pv_power_kw"] = float(d.get("pv_power", 0))
+    except Exception as exc:
+        print(f"  [warn] dashboard/realtime failed: {exc}")
+        metrics["pv_power_kw"] = None
+
+    # --- /api/v1/dashboard/overview ---
+    try:
+        resp = requests.get(f"{base_url}/api/v1/dashboard/overview", headers=headers, timeout=10)
+        resp.raise_for_status()
+        d = resp.json().get("data", resp.json())
+        metrics["energy_today_kwh"] = float(d.get("energy_today", 0))
+        metrics["total_generation_kwh"] = float(d.get("total_generation", 0))
+    except Exception as exc:
+        print(f"  [warn] dashboard/overview failed: {exc}")
+        metrics["energy_today_kwh"] = None
+        metrics["total_generation_kwh"] = None
+
+    # --- /api/v1/devices/stats ---
+    try:
+        resp = requests.get(f"{base_url}/api/v1/devices/stats", headers=headers, timeout=10)
+        resp.raise_for_status()
+        d = resp.json().get("data", resp.json())
+        metrics["online_count"] = int(d.get("online_count", 0))
+        metrics["total_count"] = int(d.get("total_count", 0))
+    except Exception as exc:
+        print(f"  [warn] devices/stats failed: {exc}")
+        metrics["online_count"] = None
+        metrics["total_count"] = None
+
+    # --- /api/v1/kpi/solar ---
+    try:
+        resp = requests.get(f"{base_url}/api/v1/kpi/solar", headers=headers, timeout=10)
+        resp.raise_for_status()
+        d = resp.json().get("data", resp.json())
+        metrics["pr"] = float(d.get("pr", 0))
+        metrics["equivalent_hours"] = float(d.get("equivalent_hours", 0))
+        metrics["revenue"] = float(d.get("revenue", 0))
+        metrics["self_consumption_rate"] = float(d.get("self_consumption_rate", 0))
+    except Exception as exc:
+        print(f"  [warn] kpi/solar failed: {exc}")
+        metrics["pr"] = None
+        metrics["equivalent_hours"] = None
+        metrics["revenue"] = None
+        metrics["self_consumption_rate"] = None
+
+    return metrics
+
+
+# ---------------------------------------------------------------------------
+# Source data (manual mode)
+# ---------------------------------------------------------------------------
+
+METRIC_LABELS = {
+    "pv_power_kw":           "Real-time PV Power (kW)",
+    "energy_today_kwh":      "Today Generation (kWh)",
+    "total_generation_kwh":  "Total Generation (kWh)",
+    "online_count":          "Devices Online",
+    "total_count":           "Devices Total",
+    "pr":                    "Performance Ratio",
+    "equivalent_hours":      "Equivalent Hours (h)",
+    "revenue":               "Revenue (CNY)",
+    "self_consumption_rate": "Self-consumption Rate",
+}
+
+
+def prompt_source_values(ems_metrics: dict) -> dict:
+    """Interactively ask the user for source reference values."""
+    print("\n--- Manual Source Entry ---")
+    print("Enter the reference value from the source system for each metric.")
+    print("Press Enter to skip a metric.\n")
+    source: dict = {}
+    for key, label in METRIC_LABELS.items():
+        if ems_metrics.get(key) is None:
+            continue
+        raw = input(f"  {label} [{key}]: ").strip()
+        if raw == "":
+            source[key] = None
+        else:
+            try:
+                source[key] = float(raw)
+            except ValueError:
+                print(f"    -> invalid number, skipping {key}")
+                source[key] = None
+    return source
+
+
+# ---------------------------------------------------------------------------
+# Comparison & reporting
+# ---------------------------------------------------------------------------
+
+def compare_and_report(ems: dict, source: dict, tolerance: float) -> bool:
+    """Print a comparison table and return True if all checks pass."""
+    col_metric = 30
+    col_val = 14
+    col_pct = 10
+    col_st = 6
+    sep = "-" * (col_metric + col_val * 2 + col_pct + col_st + 8)
+
+    print("\n" + "=" * len(sep))
+    print("  EMS Data Validation Report")
+    print("=" * len(sep))
+    header = (
+        f"{'Metric':<{col_metric}} "
+        f"{'EMS':>{col_val}} "
+        f"{'Source':>{col_val}} "
+        f"{'Diff%':>{col_pct}} "
+        f"{'Status':>{col_st}}"
+    )
+    print(header)
+    print(sep)
+
+    all_pass = True
+    checked = 0
+    failed = 0
+
+    for key, label in METRIC_LABELS.items():
+        ems_val = ems.get(key)
+        src_val = source.get(key)
+
+        if ems_val is None or src_val is None:
+            pct = None
+            st = "SKIP"
+            ems_str = str(ems_val) if ems_val is not None else "-"
+            src_str = str(src_val) if src_val is not None else "-"
+        else:
+            pct = _pct_diff(ems_val, src_val)
+            st = _status(pct, tolerance)
+            ems_str = f"{ems_val:.2f}" if isinstance(ems_val, float) else str(ems_val)
+            src_str = f"{src_val:.2f}" if isinstance(src_val, float) else str(src_val)
+
+        if st == "FAIL":
+            all_pass = False
+            failed += 1
+        if st != "SKIP":
+            checked += 1
+
+        print(
+            f"{label:<{col_metric}} "
+            f"{ems_str:>{col_val}} "
+            f"{src_str:>{col_val}} "
+            f"{_fmt_pct(pct):>{col_pct}} "
+            f"{st:>{col_st}}"
+        )
+
+    print(sep)
+    print(f"\nTolerance: {tolerance * 100:.1f}%")
+    print(f"Checked: {checked}  |  Passed: {checked - failed}  |  Failed: {failed}")
+
+    if checked == 0:
+        print("\n[WARN] No metrics were compared. Provide source values to validate.")
+        return True
+
+    if all_pass:
+        print("\n[PASS] All metrics within tolerance.")
+    else:
+        print("\n[FAIL] One or more metrics exceed tolerance!")
+
+    return all_pass
+
+
+# ---------------------------------------------------------------------------
+# CLI
+# ---------------------------------------------------------------------------
+
+def parse_args() -> argparse.Namespace:
+    parser = argparse.ArgumentParser(
+        description="Validate EMS platform data against source API or manual reference values."
+    )
+    parser.add_argument(
+        "--ems-url",
+        default="http://localhost:8000",
+        help="Base URL of the EMS backend (default: http://localhost:8000)",
+    )
+    parser.add_argument(
+        "--source-url",
+        default=None,
+        help="Base URL of the source API (e.g. iSolarCloud proxy).  Not yet implemented — reserved for future use.",
+    )
+    parser.add_argument(
+        "--tolerance",
+        type=float,
+        default=0.05,
+        help="Maximum allowed fractional difference, e.g. 0.05 = 5%% (default: 0.05)",
+    )
+    parser.add_argument(
+        "--username",
+        default="admin",
+        help="EMS login username (default: admin)",
+    )
+    parser.add_argument(
+        "--password",
+        default=None,
+        help="EMS login password (will prompt if not provided)",
+    )
+    parser.add_argument(
+        "--manual",
+        action="store_true",
+        help="Manually enter source reference values interactively",
+    )
+    return parser.parse_args()
+
+
+def main() -> None:
+    args = parse_args()
+
+    password = args.password or getpass.getpass("EMS password: ")
+
+    # ---- Authenticate ----
+    print(f"Connecting to EMS at {args.ems_url} ...")
+    try:
+        token = ems_login(args.ems_url, args.username, password)
+    except requests.HTTPError as exc:
+        print(f"[ERROR] Login failed: {exc}")
+        sys.exit(1)
+    except requests.ConnectionError:
+        print(f"[ERROR] Cannot connect to {args.ems_url}")
+        sys.exit(1)
+
+    print("  Authenticated successfully.")
+
+    # ---- Fetch EMS metrics ----
+    print("Fetching EMS metrics ...")
+    ems_metrics = fetch_ems_metrics(args.ems_url, token)
+
+    # ---- Get source metrics ----
+    if args.manual:
+        source_metrics = prompt_source_values(ems_metrics)
+    elif args.source_url:
+        # Placeholder for automated source-API fetching
+        print(f"[ERROR] Automated source-API mode (--source-url {args.source_url}) is not yet implemented.")
+        print("        Use --manual mode to enter values interactively.")
+        sys.exit(1)
+    else:
+        print("[ERROR] No source data provided. Use --manual or --source-url.")
+        sys.exit(1)
+
+    # ---- Compare ----
+    passed = compare_and_report(ems_metrics, source_metrics, args.tolerance)
+    sys.exit(0 if passed else 1)
+
+
+if __name__ == "__main__":
+    main()