mirror of
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255 lines
12 KiB
YAML
255 lines
12 KiB
YAML
# QC definition file
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-
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name: "Missing shots"
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iterate: "sequences"
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labels: [ "QC" ]
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id: missing_shots
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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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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: [ "QC", "QCGuns" ]
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children:
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-
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name: "Sequences without gun data"
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iterate: "sequences"
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id: seq_no_gun_data
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check: |
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const sequence = currentItem;
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currentItem.has_smsrc_data || "Sequence has no gun data"
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-
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name: "Missing gun data"
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id: missing_gun_data
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check: |
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sequences.some(s => s.sequence == currentItem.sequence && s.has_smsrc_data)
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? (!!currentItem._("raw_meta.smsrc.guns") || "Missing gun data")
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: true
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-
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name: "No fire"
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id: no_fire
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check: |
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const currentShot = currentItem;
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const gunData = currentItem._("raw_meta.smsrc");
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(gunData && gunData.num_nofire != 0)
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? `Source ${gunData.src_number}: No fire (${gunData.num_nofire} guns)`
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: true;
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-
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name: "Pressure errors"
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id: pressure_errors
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check: |
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const pressure=11;
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const gunData = currentItem._("raw_meta.smsrc");
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const results = gunData &&
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gunData
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.guns
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.filter(gun => ((gun[2] == gunData.src_number) && (gun[pressure]/parameters.gunPressureNominal - 1) > parameters.gunPressureToleranceRatio))
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.map(gun =>
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`source ${gun[2]}, string ${gun[0]}, gun ${gun[1]}, pressure: ${gun[pressure]} / ${parameters.gunPressureNominal} = ${(Math.abs(gunData.manifold/parameters.gunPressureNominal - 1)*100).toFixed(1)}% > ${(parameters.gunPressureToleranceRatio*100).toFixed(1)}%`
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);
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results && results.length
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? results
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: true
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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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id: 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: "Synchronisation (error)"
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id: sync_error
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check: |
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const currentShot = currentItem;
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const gunData = currentShot._("raw_meta.smsrc");
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let result = [];
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if (gunData && gunData.num_nofire == 0) {
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// These are the indices into the gun array for the different
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// values of interest.
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const subarray = 0;
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const aimpoint = 7;
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const firetime = 8;
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// We only care about the source which actually fired (or was supposed to)
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const sourceFired = gunData.guns.filter(g => g[2] == gunData.src_number);
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// Let us check if the average delta for each string is within spec
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let subarrayAverages = [];
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sourceFired.forEach(g => {
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const idx = g[subarray]-1;
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const delta = g[firetime]-g[aimpoint];
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if (!subarrayAverages[idx]) {
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subarrayAverages[idx] = [];
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}
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subarrayAverages[idx].push(delta);
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});
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subarrayAverages = subarrayAverages.map(s => s.reduce( (a, b) => a+b, 0 ) / s.length);
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subarrayAverages.forEach((value, idx) => {
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if (value > parameters.gunTimingSubarrayAverage) {
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result.push(`Average delta error: string ${idx+1}: ${value.toFixed(2)} > ${parameters.gunTimingSubarrayAverage}`);
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}
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});
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// Let us see about individual guns
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sourceFired
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.filter(gun => Math.abs(gun[firetime]-gun[aimpoint]) > parameters.gunTiming)
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.forEach(gun => {
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const value = Math.abs(gun[firetime]-gun[aimpoint]);
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result.push(`Delta error: source ${gun[2]}, string ${gun[0]}, gun ${gun[1]}: ${value.toFixed(2)} > ${parameters.gunTiming}`);
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});
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}
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if (result.length) {
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result.join("; ");
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} else {
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// Either there were no error or gun data was missing, which we take care of elsewhere
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true;
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}
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-
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name: "Synchronisation (warning)"
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id: sync_warn
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check: |
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const currentShot = currentItem;
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const gunData = currentShot._("raw_meta.smsrc");
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let result = [];
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if (gunData && gunData.num_nofire == 0) {
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// These are the indices into the gun array for the different
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// values of interest.
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const subarray = 0;
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const aimpoint = 7;
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const firetime = 8;
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// We only care about the source which actually fired (or was supposed to)
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const sourceFired = gunData.guns.filter(g => g[2] == gunData.src_number);
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sourceFired
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.filter(gun => Math.abs(gun[firetime]-gun[aimpoint]) >= parameters.gunTimingWarning && Math.abs(gun[firetime]-gun[aimpoint]) <= parameters.gunTiming)
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.forEach(gun => {
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const value = Math.abs(gun[firetime]-gun[aimpoint]);
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result.push(`Delta error: source ${gun[2]}, string ${gun[0]}, gun ${gun[1]}: ${parameters.gunTimingWarning} ≤ ${value.toFixed(2)} ≤ ${parameters.gunTiming}`);
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});
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}
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if (result.length) {
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result.join("; ");
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} else {
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// Either there were no error or gun data was missing, which we take care of elsewhere
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true;
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}
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-
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name: "Autofire"
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id: 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: ${bad_guns.join(";\n")}`;
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}
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_result_
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-
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name: "Centre of source preplot deviation (single shots)"
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labels: [ "QC", "QCNav" ]
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disabled: false
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children:
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-
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name: "Crossline"
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id: crossline
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check: |
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const currentShot = currentItem;
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Math.abs(currentShot.error_i) <= parameters.crosslineError
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|| `Crossline error (${currentShot.type}): ${currentShot.error_i.toFixed(1)} > ${parameters.crosslineError}`
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-
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name: "Inline"
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id: inline
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check: |
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const currentShot = currentItem;
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Math.abs(currentShot.error_j) <= parameters.inlineError
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|| `Inline error (${currentShot.type}): ${currentShot.error_j.toFixed(1)} > ${parameters.inlineError}`
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-
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name: "Centre of source preplot deviation (moving average)"
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labels: [ "QC", "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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id: crossline_average
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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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-
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name: "Inline"
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iterate: "sequences"
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parameters: [ "inlineErrorRunningAverageShots" ]
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id: inline_average
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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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