weatherlisted

# datagokr — 기상청 동네예보 Fetch a grid cell's forecast or observation. The result is **long** -- one row per weather item (`category`) per time. Clean columns: `base_date`, `base_time`, `category`, `forecast_date`/`forecast_time` + `forecast_value` (forecasts) or `observed_value` (nowcast), `nx`, `ny`. The value's meaning depends on `category`: | category | 항목 | category | 항목 | |---|---|---|---| | TMP / T1H | 기온 (℃) | POP | 강수확률 (%) | | SKY | 하늘상태 (1 맑음·3 구름많음·4 흐림) | PTY | 강수형태 (0 없음·1 비·2 비/눈·3 눈) | | REH | 습도 (%) | WSD | 풍속 (m/s) | | PCP / RN1 | 강수량 (mm) | SNO | 적설 (cm) | | operation | 예보 | |---|---| | `forecast` | 단기예보 (~3일) | | `ultra_forecast` | 초단기예보 (6시간) | | `nowcast` | 초단기실황 (현재 관측) | ## Prerequisite ``` pipx install pydatagokr # or: pip install pydatagokr ``` **Never print the key value** (the `DATAGOKR_API_KEY` env var or `credentials.json`) to output, logs, or a summary -- if you need to check which form it is (encoding vs decoding), ask the user. A data.go.kr **decoding** key must be configured (env `DATAGOKR_API_KEY` or `~/.config/pydatagokr/credentials.json`), and the 단기예보 dataset (service 1360000, VilageFcstInfoService_2.0) applied for (활용신청) on that account. ## Running ``` datagokr weather <operation> --nx NX --ny NY [--base-date YYYYMMDD --base-time HHMM] [--json] ``` - `--base-date`/`--base-time`: the announcement time. **Omit both to use the latest published announcement** for the operation. 단기예보 is issued at 0200/0500/0800/1100/1400/1700/200