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ema-data-access

Lightweight Python tools to query and access EMA data.

Setup

Python environment (Poetry)

  1. Install Poetry if you don't have it:

    curl -sSL https://install.python-poetry.org | python3 -
    
  2. Create a virtual environment in the project directory:

    python3 -m venv venv
    source venv/bin/activate
    
  3. Install dependencies:

    poetry install --extras "dev test"
    
  4. Install pre-commit hooks:

    poetry run pre-commit install
    

File naming conventions

Every file in the EMA archive must match one of the naming conventions below.

<payload> is one of mst, emb, emc, rpt, ldr. <data_level> is one of l0, l1, l1a, l1b, l2, l2a, l2b, l3, ql.

Table Convention
ancillary ema_l1_anc_sc_<apid>_<YYYYMMDD>.csv
manifest <payload>_manifest_<YYYYMMDDHHMM>.txt, or moc_manifest_<YYYYMMDDHHMM>.txt for a payload-less MOC manifest
housekeeping ema_l0_hsk_<payload>_<YYYYMMDD>.pkts
science (L0) ema_l0_sci_<payload>_<YYYYMMDD>.pkts
science (L1a+) ema_<payload>_<data_level>_<YYYYMMDDtHHMMSS>_<descriptor>_<pred_rec>_v<version>[-<subversion>].fits, where <pred_rec> is p (predicted) or r (reconstructed)
mission_events ema_mission_events_<start_date:YYYYMMDD>_<end_date:YYYYMMDD>.xml

SPICE kernel naming conventions

SPICE kernels follow NAIF conventions rather than the ema_l*_* pattern above. <start_date>/<end_date> are YYYYMMDD. <version> is free-form alphanumeric (e.g. v001) for the first three conventions below, and digits-only for the rest.

Convention Pattern Example
Spacecraft ephemeris ema_<type>_<start_date>_<end_date>_<version>.bsp, <type> one of pred, recon, ref ema_recon_20240101_20240201_v001.bsp
Attitude ema_<type>_<start_date>_<end_date>_<version>.bc, <type> one of rck, pck ema_rck_20240101_20240201_v001.bc
Body ephemeris ema_<body>_<version>.bsp, <body> one of sun, venus, earth, mars, wes, chi, roc, va28, rc76, sg6, jus ema_sun_v001.bsp
Planetary ephemeris <type><version>.bsp, <type> one of de, mar de440.bsp
Leapseconds naif<version>.tls naif0012.tls
Planetary constants pck<version>.tpc or .bpc pck00011.tpc
Spacecraft clock / frames ema_<type>_<version>.tsc or .tf, <type> one of sclk, fk ema_sclk_0012.tsc

Command Line Utility

Query the ancillary table

Query the ancillary table for files matching a set of filters. An API key is optional — without one, only released files are returned.

$ EMA_API_KEY=<your-api-key> ema-data-access --url <url> query-ancillary --apid 1234 --file-extension csv

or with CLI flags

$ ema-data-access --url <url> --api-key <your-api-key> query-ancillary --apid 1234 --file-extension csv

Other available filters: --file-name, --timetag-start, --timetag-end, --version, --md5checksum. Results are returned as JSON.

Under the hood, this is equivalent to:

$ curl -H "x-api-key: $EMA_API_KEY" "<url>/query_ancillary?apid=1234&file_extension=csv"

Query the housekeeping table

Query the housekeeping table for files matching a set of filters. An API key is optional. Without one, only released files are returned.

$ EMA_API_KEY=<your-api-key> ema-data-access --url <url> query-housekeeping --payload mst

Other available filters: --file-name, --timetag-start, --timetag-end, --version, --md5checksum. Results are returned as JSON.

Under the hood, this is equivalent to:

$ curl -H "x-api-key: $EMA_API_KEY" "<url>/query_housekeeping?payload=mst"

Query the science table

Query the science table for files matching a set of filters. An API key is optional. Without one, only released files are returned.

$ EMA_API_KEY=<your-api-key> ema-data-access --url <url> query-science --payload emb --data-level l1a

Other available filters: --file-name, --timetag-start, --timetag-end, --descriptor, --pred-rec, --file-extension, --major-version, --minor-version, --md5checksum. Results are returned as JSON.

Under the hood, this is equivalent to:

$ curl -H "x-api-key: $EMA_API_KEY" "<url>/query_science?payload=emb&data_level=l1a"

Query the mission events table

Query the mission_events table for event files matching a set of filters. An API key is optional. Without one, only released files are returned.

Events span a date range, so --start-date and --end-date define a query window and any event whose own range overlaps that window is returned.

$ EMA_API_KEY=<your-api-key> ema-data-access --url <url> query-mission-events --start-date 20240101 --end-date 20240110

Other available filters: --file-name, --version, --md5checksum. Results are returned as JSON.

Under the hood, this is equivalent to:

$ curl -H "x-api-key: $EMA_API_KEY" "<url>/query_mission_events?start_date=20240101&end_date=20240110"

Query the manifest table

Query the manifest table for files matching a set of filters. Manifest rows are public, so no API key is required.

$ ema-data-access --url <url> query-manifest --payload emb

Other available filters: --file-name, --timetag-start, --timetag-end. Results are returned as JSON.

--payload moc matches MOC manifests, which have no payload of their own (moc_manifest_<YYYYMMDDHHMM>.txt).

Under the hood, this is equivalent to:

$ curl "<url>/query_manifest?payload=emb"

Upload a file

Upload a local file to the EMA data archive. The file name must match a known EMA naming convention, and requires an API key with developer-level access — request one from the EMA PDC team.

$ EMA_API_KEY=<your-api-key> ema-data-access --url <url> upload path/to/ema_l1_anc_sc_1234_20240101.csv

or with CLI flags

$ ema-data-access --url <url> --api-key <your-api-key> upload path/to/ema_l1_anc_sc_1234_20240101.csv

Under the hood, this requests a presigned upload URL and then PUTs the file to it, equivalent to:

$ RESPONSE=$(curl -s -X POST -H "x-api-key: $EMA_API_KEY" <url>/upload/ema_l1_anc_sc_1234_20240101.csv)
$ UPLOAD_URL=$(echo "$RESPONSE" | python3 -c "import json,sys; print(json.load(sys.stdin)['upload_url'])")
$ curl -X PUT -H "Content-Type:" -T path/to/ema_l1_anc_sc_1234_20240101.csv "$UPLOAD_URL"

The -H "Content-Type:" (empty) is required — the presigned URL isn't signed with a content-type, and curl's guessed one will cause a signature mismatch against S3.

Download a file

Download a file from the EMA data archive by name. Unreleased files require an API key with at least team-level access.

$ EMA_API_KEY=<your-api-key> ema-data-access --url <url> download ema_l1_anc_sc_1234_20240101.csv

or with CLI flags

$ ema-data-access --url <url> --api-key <your-api-key> download ema_l1_anc_sc_1234_20240101.csv

By default, the file is saved in the current directory under its own name. Pass --destination to save it elsewhere, either as a directory or a full file path:

$ ema-data-access --url <url> download ema_l1_anc_sc_1234_20240101.csv --destination path/to/dir

If the destination file already exists, the download is skipped. Under the hood, this is equivalent to:

$ curl -H "x-api-key: $EMA_API_KEY" -o ema_l1_anc_sc_1234_20240101.csv "<url>/download/ema_l1_anc_sc_1234_20240101.csv"

Importing as a package

import ema_data_access

ema_data_access.config["DATA_ACCESS_URL"] = "<url>"
ema_data_access.config["API_KEY"] = "<your-api-key>"

results = ema_data_access.query_ancillary(apid=1234, file_extension="csv")

results = ema_data_access.query_housekeeping(payload="mst")

results = ema_data_access.query_science(payload="emb", data_level="l1a")

results = ema_data_access.query_mission_events(
    start_date="20240101", end_date="20240110"
)

results = ema_data_access.query_manifest(payload="emb")

ema_data_access.upload("path/to/ema_l1_anc_sc_1234_20240101.csv")

ema_data_access.download("ema_l1_anc_sc_1234_20240101.csv", destination="path/to/dir")

Running tests

pytest

Metadata

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