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weather-api

Fetch weather data for construction scheduling. Historical data, forecasts, and risk assessment for outdoor work.

datadrivenconstruction0 source installs☆ 0 Repository stars

Installation

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Skill instructions

Weather API for Construction

Overview

Weather impacts 50% of construction activities. This skill fetches weather data for scheduling, risk assessment, and productivity adjustments.

Python Implementation

import requests
import pandas as pd
from typing import Dict, Any, List, Optional
from dataclasses import dataclass
from datetime import datetime, timedelta
from enum import Enum


class WeatherRisk(Enum):
    """Weather risk levels for construction."""
    LOW = "low"
    MODERATE = "moderate"
    HIGH = "high"
    CRITICAL = "critical"


@dataclass
class WeatherCondition:
    """Weather condition at a point in time."""
    timestamp: datetime
    temperature: float  # Celsius
    humidity: float     # Percent
    wind_speed: float   # m/s
    precipitation: float  # mm
    conditions: str


@dataclass
class WorkabilityAssessment:
    """Assessment of weather workability."""
    date: datetime
    risk_level: WeatherRisk
    workable_hours: int
    affected_activities: List[str]
    recommendations: List[str]


class WeatherAPIClient:
    """Client for weather APIs."""

    # Free tier endpoints
    OPEN_METEO_BASE = "https://api.open-meteo.com/v1"

    def __init__(self, api_key: Optional[str] = None):
        self.api_key = api_key

    def get_forecast(self, latitude: float, longitude: float,
                     days: int = 7) -> List[WeatherCondition]:
        """Get weather forecast."""
        url = f"{self.OPEN_METEO_BASE}/forecast"
        params = {
            'latitude': latitude,
            'longitude': longitude,
            'hourly': 'temperature_2m,relative_humidity_2m,wind_speed_10m,precipitation',
            'forecast_days': days
        }

        response = requests.get(url, params=params)
        if response.status_code != 200:
            raise Exception(f"API error: {response.status_code}")

        data = response.json()
        return self._parse_fore...

Source information

Source
github
Repository
openclaw/skills
Path
skills/datadrivenconstruction/weather-api
Version
—
Commit
06787997e26092aaf4a56320558a274a65badcb7
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# Weather API for Construction

## Overview
Weather impacts 50% of construction activities. This skill fetches weather data for scheduling, risk assessment, and productivity adjustments.

## Python Implementation

```python
import requests
import pandas as pd
from typing import Dict, Any, List, Optional
from dataclasses import dataclass
from datetime import datetime, timedelta
from enum import Enum


class WeatherRisk(Enum):
    """Weather risk levels for construction."""
    LOW = "low"
    MODERATE = "moderate"
    HIGH = "high"
    CRITICAL = "critical"


@dataclass
class WeatherCondition:
    """Weather condition at a point in time."""
    timestamp: datetime
    temperature: float  # Celsius
    humidity: float     # Percent
    wind_speed: float   # m/s
    precipitation: float  # mm
    conditions: str


@dataclass
class WorkabilityAssessment:
    """Assessment of weather workability."""
    date: datetime
    risk_level: WeatherRisk
    workable_hours: int
    affected_activities: List[str]
    recommendations: List[str]


class WeatherAPIClient:
    """Client for weather APIs."""

    # Free tier endpoints
    OPEN_METEO_BASE = "https://api.open-meteo.com/v1"

    def __init__(self, api_key: Optional[str] = None):
        self.api_key = api_key

    def get_forecast(self, latitude: float, longitude: float,
                     days: int = 7) -> List[WeatherCondition]:
        """Get weather forecast."""
        url = f"{self.OPEN_METEO_BASE}/forecast"
        params = {
            'latitude': latitude,
            'longitude': longitude,
            'hourly': 'temperature_2m,relative_humidity_2m,wind_speed_10m,precipitation',
            'forecast_days': days
        }

        response = requests.get(url, params=params)
        if response.status_code != 200:
            raise Exception(f"API error: {response.status_code}")

        data = response.json()
        return self._parse_fore...

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