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# The runconfig section is intended to be used for dynamically generating the runconfig file used
# when running the NISAR PGEs. Any values set with a "null" should be filled in by the input
# preprocessor. Otherwise, a precondition evaluation error will be thrown.
runconfig:
  InputFilePath:
    L0_NEN_RST: null
  SPSName: "L0A_PGE"
  PGEName: "L0A_PGE"
  ProductPath: "/data/work/output"
  ShortName: "L0A"
  ProductCounter: null
  DebugSwitch: "Off"
  EchoToScreenSwitch: "Off"
  FullPathname: "/home/pgeuser/nisar_pge/l0a/nisar_l0a_processor.py"
  CompositeReleaseID: null
  ProcessingType: "PR"

  pge_job_name: null
  mock_metadata: null
  base_name: null

# This lists all the precondition evaluation steps that this PGE needs to run prior to running the PGE.
# These functions should be defined in the precondition_definition.yaml
preconditions:
  - get_crid
  - get_products
  - get_metadata
  - get_product_counter
  - set_product_time
  - set_pge_job_name
  - set_mock_metadata
  - set_base_name

# For any of the precondition evaluation steps listed in the preconditions area,
# specify function arguments here

# Looks at the context to get metadata
get_metadata:
  keys:
    - state_config_id

# Determines the product counter value to set in the Run Config
# When specifying a "value" field, it will just use the hardcoded value.
#TODO: See if we can determine this dynamically
get_product_counter:
  value: "001"

# This value will get used as part of the job id during the job submission step.
set_pge_job_name:
  template: ${state_config_id}

# When doing simulated PGE runs, this will mock together a set of metadata for the met.json output
set_mock_metadata:
  # Hard-coded values
  static:
    PGE_Name: "L0A"
    PGE_Version: "R0.0"
    Min_VCFC: 1
    Max_VCFC: 28
    Missing_VCFC_List:
      - 0
      - 3
      - 6
      - 9
      - 12
      - 15
      - 18
      - 21
      - 24
      - 27
    Missing_VCFC_ERT_List: "2019-10-29T17:13:05.813023Z, 2019-10-29T17:13:05.813123Z, 2019-10-29T17:13:05.813199Z,
    2019-10-29T17:13:05.813266Z, 2019-10-29T17:13:05.813342Z, 2019-10-29T17:13:05.813411Z"
    DAPHNE_Flag_Count: 0

  dynamic:
    # Keys represent the metadata keys that will go into the mock metadata
    # Values represent metadata that is assumed to exist in the job_params
    Input_Files: L0_NEN_RST
    ProductionDateTime: ProductionDateTime
    CompositeReleaseID: CompositeReleaseID
    ProductCounter: ProductCounter

# When performing simulated PGE runs, this sets the base name to be used when generating the output
# products.
set_base_name:
  template: NISAR_L0_PR_RRST_VC00_${DAPHNE_Min_Time_Tag}_${DAPHNE_Max_Time_Tag}_${CompositeReleaseID}_${ProductCounter}
  # This tells the function how to format the date time string in the file name
  date_time_formats:
    DAPHNE_Min_Time_Tag: "%Y%m%dT%H%M%S"
    DAPHNE_Max_Time_Tag: "%Y%m%dT%H%M%S"


# The PGE name
pge_name: "L0A"

# Set the primary input type here
primary_input: "L0_NEN_RST"

# List the extensions that the PGE generates
output_types:
  - bin
  - bin.log
  - bin.met

# List the groups that Chimera will need to localize
localize_groups:
  - InputFilePath