weather-impact-scheduler
Analyze weather impact on construction schedule. Predict delays and adjust activities based on forecast.
git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction /tmp/weather-impact-scheduler && cp -r /tmp/weather-impact-scheduler/1_DDC_Toolkit/Schedule-Integration/weather-impact-scheduler ~/.claude/skills/weather-impact-schedulerSKILL.md
# Weather Impact Scheduler
## Technical Implementation
```python
import pandas as pd
from datetime import date, timedelta
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from enum import Enum
class WeatherCondition(Enum):
CLEAR = "clear"
CLOUDY = "cloudy"
RAIN = "rain"
HEAVY_RAIN = "heavy_rain"
SNOW = "snow"
WIND = "wind"
EXTREME_HEAT = "extreme_heat"
EXTREME_COLD = "extreme_cold"
class ActivitySensitivity(Enum):
HIGH = "high" # Concrete, painting, roofing
MEDIUM = "medium" # Excavation, masonry
LOW = "low" # Indoor work
@dataclass
class WeatherForecast:
forecast_date: date
condition: WeatherCondition
high_temp: float
low_temp: float
precipitation_mm: float
wind_speed_kmh: float
@dataclass
class ScheduleActivity:
activity_id: str
name: str
start_date: date
end_date: date
sensitivity: ActivitySensitivity
outdoor: bool
can_work_in_rain: bool = False
min_temp: float = 5.0
max_temp: float = 35.0
max_wind: float = 50.0
@dataclass
class WeatherImpact:
activity_id: str
impact_date: date
reason: str
delay_hours: float
recommendation: str
class WeatherImpactScheduler:
def __init__(self, project_name: str):
self.project_name = project_name
self.activities: Dict[str, ScheduleActivity] = {}
self.forecasts: Dict[date, WeatherForecast] = {}
self.impacts: List[WeatherImpact] = []
def add_activity(self, activity_id: str, name: str, start_date: date,
end_date: date, sensitivity: ActivitySensitivity,
outdoor: bool = True, can_work_in_rain: bool = False) -> ScheduleActivity:
activity = ScheduleActivity(
activity_id=activity_id,
name=name,
start_date=start_date,
end_date=end_date,
sensitivity=sensitivity,
outdoor=outdoor,
can_work_in_rain=can_work_in_rain
)
self.activities[activity_id] = activity
return activity
def add_forecast(self, forecast_date: date, condition: WeatherCondition,
high_temp: float, low_temp: float,
precipitation_mm: float = 0, wind_speed_kmh: float = 0):
forecast = WeatherForecast(
forecast_date=forecast_date,
condition=condition,
high_temp=high_temp,
low_temp=low_temp,
precipitation_mm=precipitation_mm,
wind_speed_kmh=wind_speed_kmh
)
self.forecasts[forecast_date] = forecast
def analyze_impacts(self) -> List[WeatherImpact]:
self.impacts = []
for activity in self.activities.values():
if not activity.outdoor:
continue
current = activity.start_date
while current <= activity.end_date:
forecast = self.forecasts.get(current)
if forecast:
impact = self._check_impact(activity, forecast)
if impact:
self.impacts.append(impact)
current += timedelta(days=1)
return self.impacts
def _check_impact(self, activity: ScheduleActivity,
forecast: WeatherForecast) -> Optional[WeatherImpact]:
reasons = []
delay_hours = 0
# Check precipitation
if forecast.condition in [WeatherCondition.RAIN, WeatherCondition.HEAVY_RAIN]:
if not activity.can_work_in_rain:
if activity.sensitivity == ActivitySensitivity.HIGH:
reasons.append("Rain - high sensitivity activity")
delay_hours = 8
else:
reasons.append("Rain delays")
delay_hours = 4
# Check temperature
if forecast.low_temp < activity.min_temp:
reasons.append(f"Too cold ({forecast.low_temp}°C)")
delay_hours = max(delay_hours, 8 if activity.sensitivity == ActivitySensitivity.HIGH else 4)
if forecast.high_temp > activity.max_temp:
reasons.append(f"Too hot ({forecast.high_temp}°C)")
delay_hours = max(delay_hours, 4)
# Check wind
if forecast.wind_speed_kmh > activity.max_wind:
reasons.append(f"High wind ({forecast.wind_speed_kmh} km/h)")
delay_hours = max(delay_hours, 8)
if reasons:
return WeatherImpact(
activity_id=activity.activity_id,
impact_date=forecast.forecast_date,
reason="; ".join(reasons),
delay_hours=delay_hours,
recommendation=self._get_recommendation(activity, forecast)
)
return None
def _get_recommendation(self, activity: ScheduleActivity,
forecast: WeatherForecast) -> str:
if forecast.condition in [WeatherCondition.RAIN, WeatherCondition.HEAVY_RAIN]:
return "Reschedule or plan indoor work"
if forecast.low_temp < activity.min_temp:
return "Use heating blankets or delay start"
if forecast.high_temp > activity.max_temp:
return "Start early, plan heat breaks"
if forecast.wind_speed_kmh > activity.max_wind:
return "Secure materials, delay crane work"
return "Monitor conditions"
def get_total_delay_forecast(self) -> Dict[str, Any]:
total_hours = sum(i.delay_hours for i in self.impacts)
by_activity = {}
for impact in self.impacts:
act = impact.activity_id
by_activity[act] = by_activity.get(act, 0) + impact.delay_hours
return {
'total_impact_hours': total_hours,
'total_impact_days': round(total_hours / 8, 1),
'affected_activities': len(by_activity),
'by_activity': by_activity,
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