caeli-data

The Python client of the Caeli data repository API (https://data.caeli.space). One door for every producer and reader of datasets: the inventory platform, pipelines and colleagues all use this library; nothing writes to the tables or the buckets directly.

pip install caeli-data            # caeli-data[aws] also brings boto3, for Repository.from_secret

from caeli_data import Repository, TableRejected, IngestFailed

repo = Repository()               # CAELI_API_URL (default https://data.caeli.space) and CAELI_API_KEY
repo.whoami()                     # {"name": "tim", "role": "admin", ...}

# a prepared Parquet file with any regions and months in it: split per partition region and month, every part loaded
jobs = repo.load_file("prepared.parquet", "cdse-sentinel-5p-l2-no2", software={"my-pipeline": "1.0"}, source_ref="download 4711")
print(jobs[0]["message"])         # "200000 rows appended in cdse_sentinel_5p_l2_no2, ... item N_EU__2026-09__v1 now ..."

# a pandas DataFrame straight in: columns ordered and cast to the registered schema, the helper column idx_month dropped
jobs = repo.load_dataframe(df, "cdse-sentinel-5p-l2-no2", software={"my-pipeline": "1.0"})

A complete month delivered again is a new version of that month: mode="replace", reason="re-import of 2026-09". A service takes its key from Secrets Manager: Repository.from_secret("caeli/data-platform/api-key-inventory-platform").

The rules a table file must meet are in Caeli_data_repository_conventions (section 6); the library checks them before uploading and says which rule a file breaks (TableRejected). IngestFailed means the platform failed; the same file sent again is the same job, never a double load. Python 3.9 and later.

Rasters, the read side (catalogue, versions, downloads) and the command line follow in the next versions.