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Async/sync Python client for WR marine weather HTTP APIs with batch support.

Project description

wr-meteo

面向 WR 气象 HTTP 服务的 Python 客户端:支持点位气象气象因子查询,提供同步 / 异步两种调用方式,响应解析为类型化的不可变 dataclass

特性

  • 接口:GET /point(点位气象)、GET /factor(气象因子)
  • 批量:传入 list[dict],并发请求,结果顺序与输入一致
  • 鉴权:api_key(Query)、bearer(Header)、任意自定义 Header 名、或 none(无认证)
  • factor 端点可配置:factor_path="/loss"
  • factor 响应字段兼容:weather_factor / weather_loss 均可解析
  • 每个方法均有 *_async 与同步版本(基于 asgiref
  • 请求失败时记录日志并返回安全默认值,不向上抛出 HTTP 异常

要求

  • Python >= 3.12

安装

pip install wr-meteo

本地开发:

git clone <your-repo-url>
cd wr-meteo
pip install -e .
# 或
uv sync

快速开始

from wr_meteo import MeteoClient

client = MeteoClient(
    base_url="https://meteo.example.com/api",
    auth="your-secret",
    auth_type="X-API-Key",  # 见下方「鉴权」
    timeout=12.0,
)

# 点位气象(同步)
meteo = client.get_point_meteo(lon=121.5, lat=31.2, ts=1714000000)
print(meteo.temp, meteo.wind.kts if meteo.wind else None)

# 气象因子(同步)
speed, weather_f, current_f, marine = client.get_meteo_factor(
    imo=9123456,
    ts=1714000000,
    lon=121.5,
    lat=31.2,
    speed_knots=12.0,
    bearing=90.0,
    laden=True,
    source="gfs",
)
print(speed, weather_f, current_f, marine.sig_wave.height)

异步

import asyncio
from wr_meteo import MeteoClient

async def main():
    client = MeteoClient("https://meteo.example.com/api", auth="secret", auth_type="api_key")
    meteo = await client.get_point_meteo_async(lon=121.5, lat=31.2, ts=1714000000)
    factor = await client.get_meteo_factor_async(
        imo=9123456, ts=1714000000, lon=121.5, lat=31.2,
        speed_knots=12.0, bearing=90.0, laden=True, source="gfs",
    )
    print(meteo, factor)

asyncio.run(main())

批量查询

入参为 字典列表,每个字典的 key 与对应单条接口的 query 参数一致;客户端并发发起多个 HTTP 请求,返回列表与输入一一对应

# 批量点位气象
points = [
    {"lon": 121.5, "lat": 31.2, "ts": 1714000000},
    {"lon": 122.0, "lat": 32.0, "ts": 1714003600},
]
results = client.get_point_meteo_batch(points)

# 批量气象因子(键名与 API query 一致;也支持 speed_knots 别名)
factors = client.get_meteo_factor_batch([
    {
        "imo": 9123456, "ts": 1714000000,
        "lon": 121.5, "lat": 31.2,
        "speed": 12.0, "bearing": 90.0,
        "laden": True, "source": "gfs",
    },
])

# 异步
results = await client.get_point_meteo_batch_async(points)

单条失败时,该位置返回与单条接口相同的安全默认值,不影响其它条目。

鉴权

构造参数 auth 为密钥或 token 字符串,auth_type 决定如何携带:

auth_type 行为 示例
"api_key"(默认) Query:?api_key=<auth> 内部 / 简单网关
"bearer" Header:Authorization: Bearer <auth> 开放平台、JWT
"none" 不携带任何认证信息 无需认证的开放 API
其它字符串 Header:<auth_type>: <auth> auth_type="X-API-Key"
# Query
MeteoClient(base_url, auth="secret", auth_type="api_key")

# Bearer
MeteoClient(base_url, auth="eyJhbGciOi...", auth_type="bearer")

# 自定义 Header
MeteoClient(base_url, auth="secret", auth_type="X-API-Key")

鉴权参数保存在 client.headers / client.params,每次请求与业务 query 合并({**client.params, ...});httpx 对同名 query 以本次请求为准。

API 说明

MeteoClient

构造参数 类型 说明
base_url str 服务根 URL,如 https://host/api(勿以 / 结尾,客户端会自动处理)
auth str API 密钥或 Bearer token
auth_type str 默认 "api_key",见上表
timeout float HTTP 超时秒数,默认 12.0
factor_path str factor 接口路径,默认 "/factor",可改为 "/loss"

get_point_meteo / get_point_meteo_async

  • 路径{base_url}/point
  • Querylon, lat, ts(Unix 时间戳,秒)
  • 返回PointMeteo

get_meteo_factor / get_meteo_factor_async

  • 路径{base_url}{factor_path},默认 /factor,可配置
  • Queryimo, ts, lon, lat, speed, bearing, laden, source
  • 返回MeteoResult,即
    Tuple[speed, weather_factor, current_factor, MarineMeteo]
返回值 含义
speed 修正后航速(节)
weather_factor 风浪因子
current_factor 海流因子
MarineMeteo 风 / 流 / 有效波等明细

get_point_meteo_batch / get_point_meteo_batch_async

  • 入参items: list[dict],每项需含 lon, lat, ts
  • 返回list[PointMeteo],与 items 等长、同序

get_meteo_factor_batch / get_meteo_factor_batch_async

  • 入参items: list[dict],每项需含
    imo, ts, lon, lat, speed, bearing, laden, source
    speed_knots 可作为 speed 别名)
  • 返回list[MeteoResult],与 items 等长、同序

响应 JSON 约定(摘要)

/pointPointMeteo 字段与 JSON 键一致,例如:

{
  "temp": 25.1,
  "wind": {"kts": 12.0, "degree": 90.0},
  "wave": {"sig": {"height": 2.1, "period": 8.0}},
  "current": {"kts": 0.5},
  "utc": "2024-04-25T12:00:00Z"
}

/factor → 顶层示例:

{
  "speed": 11.2,
  "weather_factor": -0.5,
  "current_factor": -0.3,
  "meteo": { ... }
}

也接受 weather_loss / current_loss 字段名(与 weather_factor / current_factor 等效,取优先出现的值)。

MarineMeteo.from_dict 会解析顶层 sig_wave,若无则从 meteo.wave.sig 读取(与点位接口嵌套结构兼容)。

数据模型

导出类型(均可从 wr_meteo 直接 import):

类型 用途
PointMeteo 点位全量气象(含 wind / wave / current
MarineMeteo 因子接口中的 meteo 子结构
WindData / WaveData / CurrentData / OceanWavesData 嵌套子结构

子结构字段均为 Optional,缺失时为 NoneMarineMeteo 内 wind/current/sig_wave 默认为空 dataclass)。

手动解析:

from wr_meteo import PointMeteo, MarineMeteo

PointMeteo.from_dict(payload)
MarineMeteo.from_dict(meteo_dict)

错误处理

  • 网络错误、超时、非 2xx:写 ERROR 日志,不抛异常
  • get_point_meteo* / 批量中对应项 → 空 PointMeteo()
  • get_meteo_factor* / 批量中对应项 → (speed, 0.0, 0.0, MarineMeteo())speed 取自请求参数)

建议开启日志排查:

import logging

logging.basicConfig(level=logging.INFO)
logging.getLogger("wr_meteo").setLevel(logging.DEBUG)

开发与发布

# 可编辑安装
pip install -e .

# 构建 wheel / sdist
uv build
# 或: pip install hatchling && python -m hatch build

# 上传 PyPI(需配置 token)
# twine upload dist/*

发布前请确认:

  1. pyproject.tomlauthors、仓库 URL 等信息
  2. 根目录 LICENSE 文件(建议 MIT)
  3. 与服务端约定的 base_url、路径、auth_type 一致

许可证

MIT(请在仓库中附带 LICENSE 文件)。

Changelog

0.1.3

  • auth_type="none":支持无认证模式(不携带 headers/params)
  • factor_path 参数:factor 接口路径可配置(如 /loss),默认仍为 /factor
  • factor 响应字段兼容weather_factor/weather_losscurrent_factor/current_loss 均可解析

0.1.2 (2025-06-27)

  • 类型注解统一from_dict 参数统一为 Mapping[str, Any]
  • 输入校验增强:新增 _safe_parse() 辅助函数,自动过滤非法字段并提供友好错误提示
  • 消除重复 .get() 调用:提取局部变量,提升可读性与性能
  • 补充 docstring:所有 dataclass 及辅助函数均添加文档字符串

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