DM-28200: reduce jointcal info log verbosity

python/lsst/jointcal/cameraGeometry.py

@@ -107,19 +107,19 @@ def computePixelScale(self):
         self.fieldAngle = np.mean(self.fieldAngles, axis=0)
         self.fieldAngleStd = np.std(self.fieldAngles, axis=0)
         if self.fieldAngleStd.max() > 1e-4:
-            self.log.warn("Large stddev in computed field angles between visits (max: %s degree).",
-                          self.fieldAngleStd.max())
+            self.log.warning("Large stddev in computed field angles between visits (max: %s degree).",
+                             self.fieldAngleStd.max())
         # import os; print(os.getpid()); import ipdb; ipdb.set_trace();
         self.radialScale = np.mean(self.radialScales, axis=0)
         self.radialScaleStd = np.std(self.radialScales, axis=0)
         if self.radialScaleStd.max() > 1e-4:
-            self.log.warn("Large stddev in computed radial scales between visits (max: %s arcsec).",
-                          self.radialScaleStd.max())
+            self.log.warning("Large stddev in computed radial scales between visits (max: %s arcsec).",
+                             self.radialScaleStd.max())
         self.tangentialScale = np.mean(self.tangentialScales, axis=0)
         self.tangentialScaleStd = np.std(self.tangentialScales, axis=0)
         if self.tangentialScaleStd.max() > 1e-4:
-            self.log.warn("Large stddev in computed tangential scales between visits (max: %s arcsec).",
-                          self.tangentialScaleStd.max())
+            self.log.warning("Large stddev in computed tangential scales between visits (max: %s arcsec).",
+                             self.tangentialScaleStd.max())
 
     def computeCameraPixelScale(self, detector_id=30):
         """Compute the radial and tangential pixel scales using the distortion

python/lsst/jointcal/dataIds.py

@@ -93,7 +93,7 @@ def makeDataRefList(self, namespace):
 
                 for ref in namespace.butler.subset("calexp", dataId=dataId):
                     if not ref.datasetExists("calexp"):
-                        log.warnf("calexp with dataId: {} not found.", dict(dataId))
+                        log.warning("calexp with dataId: %s not found.", dict(dataId))
                         continue
 
                     # XXX fancier mechanism to select an individual exposure than just pulling out "visit"?

python/lsst/jointcal/jointcal.py

@@ -534,7 +534,7 @@ def validate(self):
         if self.doAstrometry and not self.doPhotometry and self.applyColorTerms:
             msg = ("Only doing astrometry, but Colorterms are not applied for astrometry;"
                    "applyColorTerms=True will be ignored.")
-            lsst.log.warn(msg)
+            lsst.log.warning(msg)
 
     def setDefaults(self):
         # Use science source selector which can filter on extendedness, SNR, and whether blended
@@ -1016,7 +1016,7 @@ def _build_ccdImage(self, data, associations, jointcalControl):
             if there are no sources in the loaded catalog.
         """
         if len(data.catalog) == 0:
-            self.log.warn("No sources selected in visit %s ccd %s", data.visit, data.detector.getId())
+            self.log.warning("No sources selected in visit %s ccd %s", data.visit, data.detector.getId())
             return None
 
         associations.createCcdImage(data.catalog,
@@ -1225,8 +1225,8 @@ def _get_refcat_coordinate_error_override(self, refCat, name):
                                                  msg)
 
         if self.config.astrometryReferenceErr is not None and 'coord_raErr' in refCat.schema:
-            self.log.warn("Overriding reference catalog coordinate errors with %f/coordinate [mas]",
-                          self.config.astrometryReferenceErr)
+            self.log.warning("Overriding reference catalog coordinate errors with %f/coordinate [mas]",
+                             self.config.astrometryReferenceErr)
 
         if self.config.astrometryReferenceErr is None:
             return float('nan')
@@ -1658,11 +1658,11 @@ def _check_stars(self, associations):
             self.log.debug("ccdImage %s has %s measured and %s reference stars",
                            ccdImage.getName(), nMeasuredStars, nRefStars)
             if nMeasuredStars < self.config.minMeasuredStarsPerCcd:
-                self.log.warn("ccdImage %s has only %s measuredStars (desired %s)",
-                              ccdImage.getName(), nMeasuredStars, self.config.minMeasuredStarsPerCcd)
+                self.log.warning("ccdImage %s has only %s measuredStars (desired %s)",
+                                 ccdImage.getName(), nMeasuredStars, self.config.minMeasuredStarsPerCcd)
             if nRefStars < self.config.minRefStarsPerCcd:
-                self.log.warn("ccdImage %s has only %s RefStars (desired %s)",
-                              ccdImage.getName(), nRefStars, self.config.minRefStarsPerCcd)
+                self.log.warning("ccdImage %s has only %s RefStars (desired %s)",
+                                 ccdImage.getName(), nRefStars, self.config.minRefStarsPerCcd)
 
     def _iterate_fit(self, associations, fitter, max_steps, name, whatToFit,
                      dataName="",
@@ -1746,12 +1746,12 @@ def _iterate_fit(self, associations, fitter, max_steps, name, whatToFit,
 
                 break
             elif result == MinimizeResult.Chi2Increased:
-                self.log.warn("Still some outliers remaining but chi2 increased - retry")
+                self.log.warning("Still some outliers remaining but chi2 increased - retry")
                 # Check whether the increase was large enough to cause trouble.
                 chi2Ratio = chi2.chi2 / oldChi2.chi2
                 if chi2Ratio > 1.5:
-                    self.log.warn('Significant chi2 increase by a factor of %.4g / %.4g = %.4g',
-                                  chi2.chi2, oldChi2.chi2, chi2Ratio)
+                    self.log.warning('Significant chi2 increase by a factor of %.4g / %.4g = %.4g',
+                                     chi2.chi2, oldChi2.chi2, chi2Ratio)
                 # Based on a variety of HSC jointcal logs (see DM-25779), it
                 # appears that chi2 increases more than a factor of ~2 always
                 # result in the fit diverging rapidly and ending at chi2 > 1e10.

src/Associations.cc

@@ -173,7 +173,7 @@ void Associations::associateCatalogs(const double matchCutInArcSec, const bool u
             ms->setFittedStar(fs);
             matchedCount++;
         }
-        LOGLS_INFO(_log, "Matched " << matchedCount << " objects in " << ccdImage->getName());
+        LOGLS_DEBUG(_log, "Matched " << matchedCount << " objects in " << ccdImage->getName());
 
         // add unmatched objets to FittedStarList
         int unMatchedCount = 0;
@@ -189,7 +189,7 @@ void Associations::associateCatalogs(const double matchCutInArcSec, const bool u
             }
             unMatchedCount++;
         }
-        LOGLS_INFO(_log, "Unmatched objects: " << unMatchedCount);
+        LOGLS_DEBUG(_log, "Unmatched objects: " << unMatchedCount);
     }  // end of loop on CcdImages
 
     // !!!!!!!!!!!!!!!!!

src/FitterBase.cc

@@ -146,8 +146,8 @@ std::size_t FitterBase::findOutliers(double nSigmaCut, MeasuredStarList &msOutli
             nOutliers++;
         }
     }  // end loop on measurements/references
-    LOGLS_INFO(_log, "findOutliers: found " << msOutliers.size() << " meas outliers and " << fsOutliers.size()
-                                            << " ref outliers ");
+    LOGLS_DEBUG(_log, "findOutliers: found " << msOutliers.size() << " meas outliers and "
+                                             << fsOutliers.size() << " ref outliers ");
 
     return nOutliers;
 }
@@ -255,10 +255,10 @@ MinimizeResult FitterBase::minimize(std::string const &whatToFit, double nSigmaC
         LOGLS_DEBUG(_log, "findOutliers chi2 cut level: " << sigmaCut << ", relative change: " << relChange);
         // If sigmaRelativeTolerance is set and at least one iteration has been done, break loop when the
         // fractional change in sigmaCut levels is less than the sigmaRelativeTolerance parameter.
-        if ((sigmaRelativeTolerance > 0) && (oldSigmaCut > 0 && relChange < sigmaRelativeTolerance)){
+        if ((sigmaRelativeTolerance > 0) && (oldSigmaCut > 0 && relChange < sigmaRelativeTolerance)) {
             LOGLS_INFO(_log, "Iterations stopped with chi2 cut at " << sigmaCut << " and relative change of "
-                              << relChange);
-            break;  
+                                                                    << relChange);
+            break;
         }
         totalMeasOutliers += msOutliers.size();
         totalRefOutliers += fsOutliers.size();