Quickstart ========== Query an existing index ----------------------- .. code-block:: python from themisim import query df = query("fsmi", "2015-03-18T06", 412, artifacts="data/artifacts") df.head() - ``datetime`` names the **hourly** CDF (``YYYY-MM-DDTHH``); sub-hour fields are ignored. ``2015-03-18 06``, ``2015031806``, and a ``datetime`` object also work. - ``frame`` is the 0-based frame index within that hour (THEMIS runs at a 3-second cadence, ~1200 frames/hour). - The top result is normally the query frame itself (``score ≈ 1.0``). Pass ``min_score`` to switch from count mode to threshold mode — every match at or above a cosine cutoff, best first: .. code-block:: python df = query("fsmi", "2015-03-18T06", 412, artifacts="data/artifacts", min_score=0.9) From the command line --------------------- .. code-block:: bash themis-query --site fsmi --datetime 2015-03-18T06 --frame 412 \ --artifacts data/artifacts --output results.csv Build an index from scratch --------------------------- .. code-block:: python from themisim import download_archive, build_index download_archive("data/cdf", sites=["fsmi"], start="2015-03", end="2015-03") build_index("data/cdf", "data/artifacts", "weights/aurora-fm-no-finetune.tar") The ~44 MB SimCLR checkpoint is fetched (and SHA-256 verified) on demand: .. code-block:: python from themisim import fetch_weights fetch_weights() See the `README `_ for the full pipeline, configuration environment variables, and data-use terms.