Cleanup logging and plots

6 files changed, 29 insertions, 24 deletions

diff --git a/dpd/src/Adapt.py b/dpd/src/Adapt.py
index 2fb596f..7b33851 100644
--- a/dpd/src/Adapt.py
+++ b/dpd/src/Adapt.py
@@ -24,7 +24,7 @@ class Adapt:
     """
 
     def __init__(self, port, coef_path):
-        logging.info("Instantiate Adapt object")
+        logging.debug("Instantiate Adapt object")
         self.port = port
         self.coef_path = coef_path
         self.host = "localhost"
diff --git a/dpd/src/Dab_Util.py b/dpd/src/Dab_Util.py
index b0b3ce3..8a53004 100644
--- a/dpd/src/Dab_Util.py
+++ b/dpd/src/Dab_Util.py
@@ -23,7 +23,7 @@ class Dab_Util:
     """Collection of methods that can be applied to an array
      complex IQ samples of a DAB signal
      """
-    def __init__(self, sample_rate):
+    def __init__(self, sample_rate, plot=False):
         """
         :param sample_rate: sample rate [sample/sec] to use for calculations
         """
@@ -31,6 +31,8 @@ class Dab_Util:
         self.dab_bandwidth = 1536000 #Bandwidth of a dab signal
         self.frame_ms = 96           #Duration of a Dab frame
 
+        self.plot=plot
+
     def lag(self, sig_orig, sig_rec):
         """
         Find lag between two signals
@@ -41,7 +43,7 @@ class Dab_Util:
         off = sig_rec.shape[0]
         c = np.abs(signal.correlate(sig_orig, sig_rec))
 
-        if logging.getLogger().getEffectiveLevel() == logging.DEBUG:
+        if logging.getLogger().getEffectiveLevel() == logging.DEBUG and self.plot:
             dt = datetime.datetime.now().isoformat()
             corr_path = (logging_path + "/" + dt + "_tx_rx_corr.pdf")
             plt.plot(c, label="corr")
@@ -95,7 +97,7 @@ class Dab_Util:
         Returns an aligned version of sig_tx and sig_rx by cropping and subsample alignment
         """
 
-        if logging.getLogger().getEffectiveLevel() == logging.DEBUG:
+        if logging.getLogger().getEffectiveLevel() == logging.DEBUG and self.plot:
             dt = datetime.datetime.now().isoformat()
             fig_path = logging_path + "/" + dt + "_sync_raw.pdf"
 
@@ -139,7 +141,7 @@ class Dab_Util:
             sig_tx = sig_tx[:-1]
             sig_rx = sig_rx[:-1]
 
-        if logging.getLogger().getEffectiveLevel() == logging.DEBUG:
+        if logging.getLogger().getEffectiveLevel() == logging.DEBUG and self.plot:
             dt = datetime.datetime.now().isoformat()
             fig_path = logging_path + "/" + dt + "_sync_sample_aligned.pdf"
 
diff --git a/dpd/src/MER.py b/dpd/src/MER.py
index 54ef6c6..2075ef5 100644
--- a/dpd/src/MER.py
+++ b/dpd/src/MER.py
@@ -75,8 +75,9 @@ class MER:
 
         spectrum = self._calc_spectrum(tx)
 
-        dt = datetime.datetime.now().isoformat()
-        fig_path = logging_path + "/" + dt + "_MER.pdf"
+        if debug:
+            dt = datetime.datetime.now().isoformat()
+            fig_path = logging_path + "/" + dt + "_MER.pdf"
 
         MERs = []
         for i, (x, y) in enumerate(self._split_in_carrier(
diff --git a/dpd/src/Model.py b/dpd/src/Model.py
index 2aa9feb..dc526c5 100644
--- a/dpd/src/Model.py
+++ b/dpd/src/Model.py
@@ -20,7 +20,7 @@ class Model:
     """Calculates new coefficients using the measurement and the old
     coefficients"""
 
-    def __init__(self, coefs_am, coefs_pm):
+    def __init__(self, coefs_am, coefs_pm, plot=False):
         self.coefs_am = coefs_am
         self.coefs_history = [coefs_am, ]
         self.mses = [0, ]
@@ -30,6 +30,8 @@ class Model:
         self.coefs_pm_history = [coefs_pm, ]
         self.errs_phase = [0, ]
 
+        self.plot=plot
+
     def sample_uniformly(self, txframe_aligned, rxframe_aligned, n_bins=4):
         """This function returns tx and rx samples in a way
         that the tx amplitudes have an approximate uniform 
@@ -144,19 +146,19 @@ class Model:
         rx_range = rx_range[(rx_range_dpd > 0) & (rx_range_dpd < 2)]
         rx_range_dpd = rx_range_dpd[(rx_range_dpd > 0) & (rx_range_dpd < 2)]
 
-        if logging.getLogger().getEffectiveLevel() == logging.DEBUG:
-            logging.debug("txframe: min %f, max %f, median %f" %
-                          (np.min(np.abs(txframe_aligned)),
-                           np.max(np.abs(txframe_aligned)),
-                           np.median(np.abs(txframe_aligned))
-                           ))
+        logging.debug("txframe: min %f, max %f, median %f" %
+                      (np.min(np.abs(txframe_aligned)),
+                       np.max(np.abs(txframe_aligned)),
+                       np.median(np.abs(txframe_aligned))
+                       ))
 
-            logging.debug("rxframe: min %f, max %f, median %f" %
-                          (np.min(np.abs(rx_choice)),
-                           np.max(np.abs(rx_choice)),
-                           np.median(np.abs(rx_choice))
-                           ))
+        logging.debug("rxframe: min %f, max %f, median %f" %
+                      (np.min(np.abs(rx_choice)),
+                       np.max(np.abs(rx_choice)),
+                       np.median(np.abs(rx_choice))
+                       ))
 
+        if logging.getLogger().getEffectiveLevel() == logging.DEBUG and self.plot:
             dt = datetime.datetime.now().isoformat()
             fig_path = logging_path + "/" + dt + "_Model.pdf"
 
diff --git a/dpd/src/phase_align.py b/dpd/src/phase_align.py
index 7045586..f8e38c4 100644
--- a/dpd/src/phase_align.py
+++ b/dpd/src/phase_align.py
@@ -15,7 +15,7 @@ import sys
 import matplotlib.pyplot as plt
 
 
-def phase_align(sig, ref_sig):
+def phase_align(sig, ref_sig, plot=False):
     """Do phase alignment for sig relative to the reference signal
     ref_sig.
 
@@ -26,7 +26,7 @@ def phase_align(sig, ref_sig):
     real_diffs = np.cos(angle_diff)
     imag_diffs = np.sin(angle_diff)
 
-    if logging.getLogger().getEffectiveLevel() == logging.DEBUG:
+    if logging.getLogger().getEffectiveLevel() == logging.DEBUG and plot:
         dt = datetime.datetime.now().isoformat()
         fig_path = logging_path + "/" + dt + "_phase_align.pdf"
 
@@ -66,7 +66,7 @@ def phase_align(sig, ref_sig):
     ))
     sig = sig * np.exp(1j * -angle)
 
-    if logging.getLogger().getEffectiveLevel() == logging.DEBUG:
+    if logging.getLogger().getEffectiveLevel() == logging.DEBUG and plot:
         plt.subplot(515)
         plt.plot(np.angle(ref_sig[:128]), label="ref_sig")
         plt.plot(np.angle(sig[:128]), label="sig")
diff --git a/dpd/src/subsample_align.py b/dpd/src/subsample_align.py
index d0f3dba..cc2b975 100755
--- a/dpd/src/subsample_align.py
+++ b/dpd/src/subsample_align.py
@@ -29,7 +29,7 @@ def gen_omega(length):
 
     return omega
 
-def subsample_align(sig, ref_sig):
+def subsample_align(sig, ref_sig, plot=False):
     """Do subsample alignment for sig relative to the reference signal
     ref_sig. The delay between the two must be less than sample
 
@@ -68,7 +68,7 @@ def subsample_align(sig, ref_sig):
     if optim_result.success:
         best_tau = optim_result.x
 
-        if 1:
+        if plot:
             corr = np.vectorize(correlate_for_delay)
             ixs = np.linspace(-1, 1, 100)
             taus = corr(ixs)