2020-09-10 23:20:58 +02:00
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# QC definition file
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2020-09-10 23:36:13 +02:00
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-
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name: "Missing shots"
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iterate: "sequences"
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labels: [ "QCFail" ]
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check: |
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const sequence = currentItem;
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const sp0 = Math.min(sequence.fsp, sequence.lsp);
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const sp1 = Math.max(sequence.fsp, sequence.lsp);
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const missing = preplots.filter(r => r.line == sequence.line &&
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r.point >= sp0 && r.point <= sp1 &&
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!sequence.shots.find(s => s.point == r.point)
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);
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2020-09-10 23:20:58 +02:00
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2020-09-10 23:36:13 +02:00
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missing.length == 0 || missing.map(r => `Missing shot: ${r.point}`).join("\n")
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-
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name: "Gun QC"
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disabled: false
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labels: [ "QCFail", "QCGuns" ]
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children:
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-
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name: "Missing gun data"
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check: |
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!!currentItem._("raw_meta.smsrc.guns") || "Missing gun data"
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-
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name: "Single gun / cluster"
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children:
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-
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name: "Source depth"
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check: |
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const currentShot = currentItem;
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let _result_;
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_depth=10;
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const gunData = currentShot._("raw_meta.smsrc.guns");
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if (!gunData) {
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// We check for missing data elsewhere, so don't fail this test
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_result_ = true
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} else if (gunData.every(gun => Math.abs(gun[_depth]-parameters.gunDepth) <= parameters.gunDepthTolerance)) {
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_result_ = true;
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} else {
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const bad_guns = gunData.filter(gun => Math.abs(gun[_depth]-parameters.gunDepth) > parameters.gunDepthTolerance).map(gun => {
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return `source ${gun[2]}, string ${gun[0]}, gun ${gun[1]}, depth: ${gun[10]}`;
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});
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_result_ = `Depth error: ${bad_guns.join("; ")}`;
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}
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_result_
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-
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name: "Autofire"
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check: |
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const currentShot = currentItem;
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let _result_;
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_autofire=5;
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const gunData = currentShot._("raw_meta.smsrc.guns");
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if (!gunData) {
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// We check for missing data elsewhere, so don't fail this test
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_result_ = true;
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} else if (gunData.every(gun => gun[_autofire] == false)) {
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_result_ = true;
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} else {
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const bad_guns = gunData.filter(gun => gun[_autofire]).map(gun => {
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return `source ${gun[2]}, string ${gun[0]}, gun ${gun[1]}, depth: ${gun[10]}`;
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});
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_result_ = `Depth error: ${bad_guns.join("; ")}`;
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}
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_result_
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2020-09-10 23:20:58 +02:00
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2020-09-10 23:36:13 +02:00
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-
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name: "Centre of source preplot deviation (single shots)"
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labels: [ "QCFail", "QCNav" ]
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disabled: false
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children:
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-
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name: "Crossline"
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check: |
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const currentShot = currentItem;
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Math.abs(currentShot.error_i) <= parameters.crosslineError
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|| `Crossline error: ${currentShot.error_i.toFixed(1)} > ${parameters.crosslineError}`
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2020-09-10 23:20:58 +02:00
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2020-09-10 23:36:13 +02:00
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-
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name: "Centre of source preplot deviation (moving average)"
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labels: [ "QCFail", "QCNav" ]
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children:
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-
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name: "Crossline"
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iterate: "sequences"
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parameters: [ "crosslineErrorAverage" ]
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check: |
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const currentSequence = currentItem;
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const i_err = currentSequence.shots.filter(s => s.error_i != null).map(a => a.error_i);
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if (i_err.length) {
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const avg = i_err.reduce( (a, b) => a+b)/i_err.length;
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avg <= parameters.crosslineErrorAverage ||
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`Average crossline error: ${avg.toFixed(1)} > ${parameters.crosslineErrorAverage}`
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} else {
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`Sequence ${currentSequence.sequence} has no shots within preplot`
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}
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2020-09-10 23:20:58 +02:00
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2020-09-10 23:36:13 +02:00
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-
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name: "Inline"
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iterate: "sequences"
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parameters: [ "inlineErrorRunningAverageShots" ]
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check: |
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const currentSequence = currentItem;
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const n = parameters.inlineErrorRunningAverageShots; // For brevity
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const results = currentSequence.shots.slice(n/2, -n/2).map( (shot, index) => {
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const shots = currentSequence.shots.slice(index, index+n).map(i => i.error_j).filter(i => i !== null);
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if (!shots.length) {
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// We are outside the preplot
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// Nothing to see here, move along
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return true;
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}
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const mean = shots.reduce( (a, b) => a+b ) / shots.length;
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return Math.abs(mean) <= parameters.inlineErrorRunningAverageValue ||
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`Running average inline error: shot ${shot.point}, ${mean.toFixed(1)} > ${parameters.inlineErrorRunningAverageValue}`
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}).filter(i => i !== true);
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results.length == 0 || results.join("\n");
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