example.yml

#---

# Configuration of which attributes in a label should be scraped when
# building a database (pandas DataFrame) of PDS products.
# 
# Each section must be labelled with a product
# type. If filtering by LID is needed, the LID keyword can be set
# and any LIDs containing this string will be processed.
#
# Under keywords place tuples of identifer and xpath. The database
# will be populated with these data.
#
# One pandas dataframe will be produced for each entry

# common:
#   lid: ""
#   keywords:
#     lid:
#         xpath: "pds:Identification_Area/pds:logical_identifier"
#     version_id:
#         xpath: "pds:Identification_Area/pds:version_id"

Product_Observational:

  mcam_raw_science:
    lid: "bc_mtm_mcam:data_raw:cam_raw_sc"
    keywords:
      exposure: "pds:Observation_Area/pds:Discipline_Area/img:Imaging/img:Image_Product_Information/img:Exposure_Parameters/img:exposure_duration"

  cassis_science:
    lid: ".*em16_tgo.*cas_..._sc.*"
    keywords:
      filter: "/pds:Product_Observational/pds:Observation_Area/pds:Mission_Area/em16_tgo_cas:Cassis_Data/em16_tgo_cas:HK_Derived_Data/em16_tgo_cas:filter"
      pixel_lat:  "/pds:Product_Observational/pds:Observation_Area/pds:Discipline_Area/geom:Geometry/geom:Geometry_Orbiter/geom:Surface_Geometry/geom:Surface_Geometry_Specific/geom:Footprint_Vertices/geom:Pixel_Intercept/geom:pixel_latitude"
      pixel_lon: "/pds:Product_Observational/pds:Observation_Area/pds:Discipline_Area/geom:Geometry/geom:Geometry_Orbiter/geom:Surface_Geometry/geom:Surface_Geometry_Specific/geom:Footprint_Vertices/geom:Pixel_Intercept/geom:pixel_longitude"



Product_Browse:

  mcam_browse:
    lid: "urn:esa:psa:bc_mpo_cam:browse_raw:cam_raw_sc"
    keywords:
      datalink: "pds:Reference_List/pds:Internal_Reference[pds:reference_type='browse_to_data']/pds:lid_reference"