UPDATE

dashboard/services.py

@@ -0,0 +1,123 @@
+from copy import deepcopy
+
+from water.services import (
+    get_farm_weather_card_data,
+    get_water_need_prediction_data,
+    get_water_stress_index_data,
+)
+from crop_health.services import get_crop_health_summary_data
+from economic_overview.services import get_economic_overview_data
+from farm_alerts.services import (
+    get_alert_timeline_data,
+    get_alert_tracker_data,
+    get_recommendations_list_data,
+)
+from fertilization_recommendation.services import get_fertilization_dashboard_recommendation
+from irrigation_recommendation.services import get_irrigation_dashboard_recommendation
+from pest_detection.services import get_risk_summary_data
+from sensor_7_in_1.services import (
+    get_sensor_7_in_1_summary_data,
+)
+from yield_harvest.services import get_yield_harvest_summary_data
+
+from .mock_data import ALL_CARDS
+
+
+def _update_kpi(card_lookup, card_data):
+    if not card_data:
+        return
+
+    card_id = card_data.get("id")
+    if not card_id or card_id not in card_lookup:
+        return
+
+    details = card_data.get("details")
+    clean_data = {key: value for key, value in card_data.items() if key != "details"}
+    card_lookup[card_id].update(clean_data)
+    if details is not None:
+        card_lookup[card_id]["details"] = details
+
+
+def _build_overview_kpis(base_cards, crop_health_summary, water_stress_index, avg_soil_moisture, risk_summary, yield_summary):
+    kpis = [crop_health_summary["farmHealthScore"], water_stress_index, avg_soil_moisture, *deepcopy(base_cards["kpis"])]
+    card_lookup = {item["id"]: item for item in kpis}
+
+    _update_kpi(card_lookup, water_stress_index)
+    _update_kpi(card_lookup, avg_soil_moisture)
+    _update_kpi(card_lookup, risk_summary.get("disease_risk", {}))
+    _update_kpi(card_lookup, risk_summary.get("pest_risk", {}))
+    _update_kpi(card_lookup, yield_summary.get("yield_prediction_card", {}))
+
+    return {"kpis": kpis}
+
+
+def _build_recommendations_list(farm, fallback_data, harvest_card):
+    recommendations = []
+    recommendations.extend(get_recommendations_list_data(farm).get("recommendations", []))
+    recommendations.append(get_irrigation_dashboard_recommendation(farm))
+    recommendations.append(get_fertilization_dashboard_recommendation(farm))
+
+    if harvest_card:
+        recommendations.append(
+            {
+                "title": f"بازه برداشت: {harvest_card.get('optimalWindowStart', '')} تا {harvest_card.get('optimalWindowEnd', '')}",
+                "subtitle": harvest_card.get("description", ""),
+                "avatarIcon": "tabler-calendar-event",
+                "avatarColor": "info",
+            }
+        )
+
+    deduped = []
+    seen_titles = set()
+    for item in recommendations:
+        title = item.get("title")
+        if not title or title in seen_titles:
+            continue
+        seen_titles.add(title)
+        deduped.append(item)
+
+    if deduped:
+        return {"recommendations": deduped[:4]}
+
+    return deepcopy(fallback_data)
+
+
+def get_farm_dashboard_cards(farm):
+    cards = deepcopy(ALL_CARDS)
+
+    weather_card = get_farm_weather_card_data(farm)
+    crop_health_summary = get_crop_health_summary_data(farm)
+    risk_summary = get_risk_summary_data(farm)
+    yield_summary = get_yield_harvest_summary_data(farm)
+    water_stress_index = get_water_stress_index_data(farm)
+    sensor_summary = get_sensor_7_in_1_summary_data(farm)
+    avg_soil_moisture = sensor_summary["avgSoilMoisture"]
+
+    cards["farmWeatherCard"] = weather_card
+    cards["farmAlertsTracker"] = get_alert_tracker_data(farm)
+    cards["farmAlertsTimeline"] = get_alert_timeline_data(farm)
+    cards["sensorValuesList"] = sensor_summary["sensorValuesList"]
+    cards["anomalyDetectionCard"] = sensor_summary["anomalyDetectionCard"]
+    cards["waterNeedPrediction"] = get_water_need_prediction_data(farm)
+    cards["harvestPredictionCard"] = yield_summary["harvest_prediction_card"]
+    cards["yieldPredictionChart"] = yield_summary["yield_prediction_chart"]
+    cards["sensorRadarChart"] = sensor_summary["sensorRadarChart"]
+    cards["sensorComparisonChart"] = sensor_summary["sensorComparisonChart"]
+    cards["soilMoistureHeatmap"] = sensor_summary["soilMoistureHeatmap"]
+    cards["ndviHealthCard"] = crop_health_summary["ndviHealthCard"]
+    cards["economicOverview"] = get_economic_overview_data(farm)
+    cards["farmOverviewKpis"] = _build_overview_kpis(
+        cards["farmOverviewKpis"],
+        crop_health_summary,
+        water_stress_index,
+        avg_soil_moisture,
+        risk_summary,
+        yield_summary,
+    )
+    cards["recommendationsList"] = _build_recommendations_list(
+        farm,
+        cards["recommendationsList"],
+        yield_summary.get("harvest_prediction_card", {}),
+    )
+
+    return cards