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Data access utilities and camera-specialization interfaces for LSST Data Management.
Home Page: http://dm.lsst.org
This project forked from lsst/obs_base
Data access utilities and camera-specialization interfaces for LSST Data Management.
Home Page: http://dm.lsst.org
Description =========== This package provides base classes for the obs camera packages, to provide a unified framework for building new cameras and testing their functionality. Calibrations ------------ Calibrations, like all datasets, are identified by a set of data ids. These are typically only used internally, so they do not need to be as user-friendly as those for "normal" datasets. For example, it is not unreasonable to just have "path" (relative to the calibration repository) as a (string) data id. Different calibration datasets may have different data id *spaces* (names of id keys and possible values), or they may share a space. Create a SQLite3 file named `calibRegistry.sqlite3` in the repository containing the calibration files. This should contain a table for each calibration data id space. The columns in the table should be "id integer primary key autoincrement", "validStart text", "validEnd text", and then all of the data id keys for that space. Write a Python script to populate this table with the metadata from the calibration files and put it in `obs_{camera}/bin`. For each calibration dataset, write a sub-Policy under the calibrations sub-Policy within the mapper Policy giving the table for its data id space in the calibration registry, the reference table in the input (not calibration) repository registry containing the `taiObs` column, and specifying that validity range checking should be enabled. If additional data id keys such as filter/band or camcol are necessary, put them in a "refCols" entry. Example:: calibrations: { gain: { [usual mapping entries] tables: gain reference: raw refCols: "run" "camcol" "band" validRange: true } }
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