midforecastlisted

# datagokr — 기상청 중기예보 Fetch the 4-to-10-day outlook for a forecast region. Where the `weather` skill covers the next ~3 days on a 5km grid, this covers days 4-10 for a coarser 예보구역 named by a `region` code. The rows are **wide** -- one row per region, a column per forecast day: | operation | 예보 | clean columns | |---|---|---| | `land` | 중기육상예보 | `regid`, `precip_prob_4am`..`precip_prob_10` (강수확률 %, int), `sky_4am`..`sky_10` (날씨 문구) | | `temperature` | 중기기온예보 | `regid`, `temp_min_4`..`temp_min_10`, `temp_max_4`..`temp_max_10` (���, int) | Days 4-7 split into morning/afternoon (`_4am`/`_4pm` .. `_7am`/`_7pm`); days 8-10 are single (`_8`..`_10`). A day the announcement does not cover is `None` (the 1800 announcement starts at day 5, the 0600 one reaches day 4). ## 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 중기예보 dataset (service 1360000, MidFcstInfoService) applied for (활용신청) on that account. ## Running ``` datagokr midforecast land --regid REGID --time-forecast YYYYMMDDHHMM [--json] datagokr midforecast temperature --regid REGID --time-forecast YYYYMMDDHHMM [--json] ``` - `--regid`: the 예보구역코드. 육상 uses a 광역 code