stock-data-skill
OpenClaw Skill for stock data analysis
Fetch weather data for construction scheduling. Historical data, forecasts, and risk assessment for outdoor work.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install datadrivenconstruction/weather-api打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Weather impacts 50% of construction activities. This skill fetches weather data for scheduling, risk assessment, and productivity adjustments.
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...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# 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...OpenClaw Skill for stock data analysis
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