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333 lines
11 KiB
YAML
333 lines
11 KiB
YAML
# Example of a survey configuration file.
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#
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# These files, of which there should be one per project,
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# describe where to find the relevant data and other
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# parameters of interest.
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archived: true # If true, the data in the database will be “frozen”.
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id: EQ20211 # Not used. See bin/create_survey.sh
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name: "Snorre" # Not used. See bin/create_survey.sh
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schema: survey_1 # This must be the schema returned by bin/create_survey.sh
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epsg: 23031 # The EPSG code used in bin/create_survey.sh
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binning: # P6 data. Eventually will be replaced with the location of the P6 file.
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theta: 206.47 # Direction of I axis, degrees
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I_inc: 1 # Increment along I
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J_inc: 1 # Increment along J
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I_width: 12.50 # Inline bin width
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J_width: 12.50 # Crossline bin width
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origin:
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easting: 479735.00
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northing: 6565048.00
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I: 5000
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J: 1000
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preplots: # List of preplot files
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-
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type: sps # Always "sps"
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class: "S" # Source preplots
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path: /srv/Data/EQ20211/preplots/Preplot_Source.sps
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format:
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# The “SPS” files seen in the wild all have different layouts. Rather than
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# forcing our own choice of layout upon the user, we let him describe what
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# his files look like.
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# This is done by providing:
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# * a list of field widths (negative values cause that number of columns to be skipped)
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# * a list of field names, its length must equal the number of positive field widths
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# * a list of type conversions – this is the name of a Python function to which the
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# value will be passed. An exception is that `int` is our own custom function that
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# can take a string like "3.0" without barfing.
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widths: [ -1, 10, 10, -25, 10, 10 ]
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names: [ "line_name", "point_number", "easting", "northing" ]
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types: [ "int", "int", "float", "float" ]
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-
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type: sps
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class: "V" # Vessel preplots
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path: /srv/Data/EQ20211/preplots/Preplot_Vessel.sps
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format:
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widths: [ -1, 10, 10, -25, 10, 10 ]
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names: [ "line_name", "point_number", "easting", "northing" ]
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types: [ "int", "int", "float", "float" ]
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raw:
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# This section tells us where to find the raw data and what kind it is.
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# (raw data is what is produced by the navigation system during or right after acquisition)
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ntbp:
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# This section tells us how to identify NTBP (not to be processed) sequences.
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# We match the following regular expression pattern against the full path, not
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# just the file name. The pattern applies both to P1/90 and P1/11 files.
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pattern:
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regex: NTBP
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flags: i
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p190: # Use this section if you have P1/90 raw files
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timestamp_format: "%d%m%Y" # Different software can't seem to agree on what format to use
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pattern:
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# Some of the information we want is not even *in* the P1/90 but is conveyed
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# via the file name. So we parse the file name via a regular expression to
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# get those details. There are two items of data that we *must* get from the
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# file name: the sequence and the sailline number.
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# The following items are:
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# * regex: a Python (and ideally JavaScript) compatible regular expression
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# * flags: regular expression flags
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# * captures: the capture groups. "line" and "sequence" are required.
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regex: '^.*(10|20)([0-9]{4})([0-9])([0-9]{3})S00000\.([0-9]+)\.[Pp]?190$'
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flags: i
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captures: [ "direction", "line", "attempt", "sequence", "file_no" ]
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globs:
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# A list of glob expressions to capture P1/90 files
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- "*.P190"
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paths:
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# A list of directories to search for P1/90 files
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- /srv/Data/EQ20211/_live/raw
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p111: # Use this section if you have P1/11 raw files (recommended)
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pattern:
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regex: '^.*(10|20)([0-9]{4})([0-9])([0-9]{3})S00000(\.([0-9]+))?\.[Pp]?111$'
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flags: i
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captures: [ "direction", "line", "attempt", "sequence", "(ignore)", "file_no" ]
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globs:
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- "**/*.P111"
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- "**/*.p111"
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paths:
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- /srv/Data/EQ20211/_live/raw
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final:
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# This section is analogue to "raw" above, but for final data.
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# (final data is what is given to the client)
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p190:
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timestamp_format: "%d%m%Y"
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pattern:
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regex: '^.*(10|20)([0-9]{4})([0-9])([0-9]{3})S00000\.([0-9]+)\.[Pp]?190$'
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flags: i
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captures: [ "direction", "line", "attempt", "sequence", "file_no" ]
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globs:
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- "*.190"
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- "*.p190"
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- "*.P190"
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paths:
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- /srv/Data/EQ20211/_live/final
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labels:
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FDSP:
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view:
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colour: "#80CBC4"
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description: "First shot of the day"
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model:
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user: false
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multiple: false
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FSP:
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view:
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colour: "#03A9F4"
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"description": "First shot point"
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model:
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user: true
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multiple: false
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FGSP:
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view:
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colour: "light-blue darken-1"
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"description": "First good shot point"
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model:
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user: true
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multiple: true
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FOSP:
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view:
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colour: "light-blue darken-2"
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"description": "First overlap shot point"
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model:
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user: true
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multiple: true
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Guns:
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view:
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"colour": "#F48FB1"
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"description": "Gun events"
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model:
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user: true
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#multiple: true # This is the default
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LDSP:
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view:
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colour: "#4DB6AC"
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description: "Last shot of the day"
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model:
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user: false
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multiple: false
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LSP:
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view:
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colour: "#00BCD4"
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description: "Last shot point"
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model:
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user: true
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multiple: false
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LGSP:
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view:
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colour: "cyan darken-1"
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"description": "Last good shot point"
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model:
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user: true
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multiple: true
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LOSP:
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view:
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colour: "cyan darken-2"
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"description": "Last overlap shot point"
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model:
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user: true
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multiple: true
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Nav:
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view:
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colour: "#EF9A9A"
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description: "Navigation events"
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model:
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user: true
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multiple: true
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Nav Proc:
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view:
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colour: "#FFCC80"
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description: "Navigation processing events"
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model:
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user: true
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multiple: true
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Weather:
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view:
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colour: "blue accent-1"
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description: "Weather information"
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model:
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user: true
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multiple: true
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Missed shot:
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view:
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colour: "red darken-1"
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description: "Missing shot"
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model:
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user: false
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multiple: true
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NTBP:
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view:
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colour: "red"
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description: "Not to be processed"
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model:
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user: true
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multiple: true
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QC Error:
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view:
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colour: "#FF0000"
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description: "This shot fails one or more QC checks"
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model:
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user: false
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multiple: true
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Daily:
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view:
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colour: "#C0C0C0"
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description: "Of interest in the daily report"
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model:
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user: true
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multiple: true
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Weekly:
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view:
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colour: "#C0C0C0"
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description: "Of interest in the weekly report"
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model:
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user: true
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multiple: true
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Final report:
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view:
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colour: "#C0C0C0"
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description: "Of interest in the final report"
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model:
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user: true
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multiple: true
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Shift handover:
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view:
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colour: "#C0C0C0"
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description: "Of interest during shift handover"
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model:
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user: true
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multiple: true
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# NOTE to self:
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# insert into labels (select ld.key as name, ld.value as data from file_data fd, json_each(fd.data->'labels') ld);
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events:
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presetRemarks:
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-
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text: Navigation
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items:
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-
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text: Online
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labels: [ Nav ]
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items:
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- text: Strong currents
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- text: Bridge takes control
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- text: Back on autopilot
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- text: Start deviation
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-
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text: Processing
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labels: [ "Nav Proc" ]
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items:
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- text: Lost DGPS
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- text: Lost RGPS
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-
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text: Gunners
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labels: [ Guns ]
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items:
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-
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text: Port array
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items:
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-
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text: GS6
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items:
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- text: GS6 Autofire
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- text: "GS6 Swapped guns: "
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- text: "GS6 Hydrophone dead: "
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- text: "GS6 Depth sensor dead: "
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-
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text: GS5
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items:
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- text: GS5 Autofire
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- text: "GS5 Swapped guns: "
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- text: "GS5 Hydrophone dead: "
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- text: "GS5 Depth sensor dead: "
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-
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text: GS4
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items:
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- text: GS4 Autofire
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- text: "GS4 Swapped guns: "
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- text: "GS4 Hydrophone dead: "
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- text: "GS4 Depth sensor dead: "
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-
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text: Starboard array
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items:
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-
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text: GS3
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items:
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- text: GS3 Autofire
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- text: "GS3 Swapped guns: "
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- text: "GS3 Hydrophone dead: "
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- text: "GS3 Depth sensor dead: "
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-
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text: GS2
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items:
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- text: GS2 Autofire
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- text: "GS2 Swapped guns: "
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- text: "GS2 Hydrophone dead: "
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- text: "GS2 Depth sensor dead: "
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-
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text: GS1
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items:
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- text: GS1 Autofire
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- text: "GS1 Swapped guns: "
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- text: "GS1 Hydrophone dead: "
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- text: "GS1 Depth sensor dead: "
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-
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text: Bridge
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items:
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- text: Bridge takes control
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- text: Back on autopilot
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-
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text: HSE
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labels: [ HSE ]
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items:
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- text: Toolbox meeting
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