From 67f44728a1dd9a3c786bd5602bd1ac0834ebd8ea Mon Sep 17 00:00:00 2001
From: Daniel Friesel <daniel.friesel@uos.de>
Date: Wed, 8 Jul 2020 15:09:55 +0200
Subject: RawData: load ptalog if available

---
 bin/analyze-archive.py |  9 ++++++---
 lib/loader.py          | 13 +++++++++----
 2 files changed, 15 insertions(+), 7 deletions(-)

diff --git a/bin/analyze-archive.py b/bin/analyze-archive.py
index 74a2d41..5c7c97e 100755
--- a/bin/analyze-archive.py
+++ b/bin/analyze-archive.py
@@ -377,9 +377,12 @@ if __name__ == "__main__":
         if raw_data.version <= 1:
             data_source = "MIMOSA"
         elif raw_data.version == 2:
-            data_source = "MSP430 EnergyTrace, sync={}".format(
-                raw_data.ptalog["opt"]["energytrace"]["sync"]
-            )
+            if raw_data.ptalog and "sync" in raw_data.ptalog["opt"]["energytrace"]:
+                data_source = "MSP430 EnergyTrace, sync={}".format(
+                    raw_data.ptalog["opt"]["energytrace"]["sync"]
+                )
+            else:
+                data_source = "MSP430 EnergyTrace"
         print(f"    Data source ID: {raw_data.version} ({data_source})")
 
     preprocessed_data = raw_data.get_preprocessed_data()
diff --git a/lib/loader.py b/lib/loader.py
index 77b8652..c35eb4c 100644
--- a/lib/loader.py
+++ b/lib/loader.py
@@ -305,6 +305,7 @@ class RawData:
         self._parameter_names = None
         self.ignore_clipping = False
         self.pta = None
+        self.ptalog = None
 
         with tarfile.open(filenames[0]) as tf:
             for member in tf.getmembers():
@@ -315,6 +316,9 @@ class RawData:
                 elif ".etlog" in member.name:
                     self.version = 2
                     break
+            if self.version >= 1:
+                self.ptalog = json.load(tf.extractfile(tf.getmember("ptalog.json")))
+                self.pta = self.ptalog["pta"]
 
         self.set_cache_file()
         if not with_traces:
@@ -334,6 +338,8 @@ class RawData:
                 self.preprocessing_stats = cache_data["preprocessing_stats"]
                 if "pta" in cache_data:
                     self.pta = cache_data["pta"]
+                if "ptalog" in cache_data:
+                    self.ptalog = cache_data["ptalog"]
                 self.setup_by_fileno = cache_data["setup_by_fileno"]
                 self.preprocessed = True
 
@@ -350,6 +356,7 @@ class RawData:
                 "traces": self.traces,
                 "preprocessing_stats": self.preprocessing_stats,
                 "pta": self.pta,
+                "ptalog": self.ptalog,
                 "setup_by_fileno": self.setup_by_fileno,
             }
             json.dump(cache_data, f)
@@ -847,8 +854,7 @@ class RawData:
 
                 new_filenames = list()
                 with tarfile.open(filename) as tf:
-                    ptalog = json.load(tf.extractfile(tf.getmember("ptalog.json")))
-                    self.pta = ptalog["pta"]
+                    ptalog = self.ptalog
 
                     # Benchmark code may be too large to be executed in a single
                     # run, so benchmarks (a benchmark is basically a list of DFA runs)
@@ -902,8 +908,7 @@ class RawData:
 
                 new_filenames = list()
                 with tarfile.open(filename) as tf:
-                    ptalog = json.load(tf.extractfile(tf.getmember("ptalog.json")))
-                    self.pta = ptalog["pta"]
+                    ptalog = self.ptalog
 
                     # Benchmark code may be too large to be executed in a single
                     # run, so benchmarks (a benchmark is basically a list of DFA runs)
-- 
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