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-rw-r--r--lib/loader.py158
1 files changed, 152 insertions, 6 deletions
diff --git a/lib/loader.py b/lib/loader.py
index c0a1694..38d59fc 100644
--- a/lib/loader.py
+++ b/lib/loader.py
@@ -1621,6 +1621,7 @@ class EnergyTraceWithLogicAnalyzer:
transition_names: list,
with_traces=False,
):
+
"""
Create a new EnergyTraceWithLogicAnalyzer object.
@@ -1636,9 +1637,13 @@ class EnergyTraceWithLogicAnalyzer:
self.errors = list()
def load_data(self, log_data):
- # TODO Daten laden
- print("########################")
- print(log_data[0].split("\n")[0])
+ from data.timing.SigrokInterface import SigrokResult
+ from data.energy.EnergyInterface import EnergyInterface
+
+ # Daten laden
+ self.sync_data = SigrokResult.fromString(log_data[0])
+ self.energy_data = EnergyInterface.getDataFromString(str(log_data[1]))
+
pass
def analyze_states(self, traces, offline_index: int):
@@ -1666,7 +1671,89 @@ class EnergyTraceWithLogicAnalyzer:
* `W_mean_delta_next`: Differenz zwischen W_mean und W_mean des Folgezustands
"""
- # TODO Tatsächlich Daten auswerten
+ # Tatsächlich Daten auswerten
+ # +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+ # +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+ # remove Dirty Data from previously running program (happens if logic Analyzer Measurement starts earlier than
+ # the HW Reset from energytrace)
+ use_data_after_index = 0
+ for x in range(1, len(self.sync_data.timestamps)):
+ if self.sync_data.timestamps[x] - self.sync_data.timestamps[x - 1] > 1.3:
+ use_data_after_index = x
+ break
+
+ time_stamp_data = self.sync_data.timestamps[use_data_after_index:]
+
+ start_offset = None
+ start_timestamp = None
+ end_offset = None
+ end_timestamp = None
+
+ last_values = [] # maybe needed to flatten the data
+ plot_data_x = []
+ plot_data_y = []
+ last_data = [0, 0, 0, 0]
+
+ power_sync_watt = 0.0162
+
+ # MAIN ENERGY DATA ITERATION
+ for energytrace_dataset in self.energy_data:
+ usedtime = energytrace_dataset[0] - last_data[0]
+ usedenergy = energytrace_dataset[3] - last_data[3]
+ power = usedenergy / usedtime * 10 ** -3 # in watts
+
+ if power > 0:
+ if power > power_sync_watt and start_offset is None:
+ # automatic START offset calculation
+ start_offset = energytrace_dataset[0] / 1_000_000 - time_stamp_data[0]
+ start_timestamp = energytrace_dataset[0] / 1_000_000
+ if power > power_sync_watt and start_offset is not None: # TODO BETTER
+ # automatic END offset calculation (Drift)
+ end_offset = energytrace_dataset[0] / 1_000_000 - time_stamp_data[-1] - start_offset
+ end_timestamp = energytrace_dataset[0] / 1_000_000
+ if len(last_values) > 10:
+ last_values.pop(0)
+ last_values.append(power)
+ # print("%s \tUsed Energy: %i \tUsed Time: %i \tPower: %f \t l_10: %f" % (now_data[0], usedenergy, usedtime, power, sum(last_values) / len(last_values)))
+ plot_data_x.append(energytrace_dataset[0] / 1_000_000)
+ plot_data_y.append(power)
+
+ last_data = energytrace_dataset
+
+ # --------------------
+ # add start offset to the data
+ modified_timestamps_with_offset = []
+ for x in time_stamp_data:
+ if x + start_offset >= 0:
+ modified_timestamps_with_offset.append(x + start_offset)
+
+ # --------------------
+ # Add drift to datapoints
+ modified_timestamps_with_drift = []
+ endFactor = (end_timestamp + end_offset - start_timestamp) / (end_timestamp - start_timestamp)
+ for x in modified_timestamps_with_offset:
+ modified_timestamps_with_drift.append(((x - start_timestamp) * endFactor) + start_timestamp)
+
+ self.start_offset = 0
+ def getPowerBetween(start, end):
+ first_index = 0
+ all_power = 0
+ all_power_count = 0
+ for ind in range(self.start_offset, len(plot_data_x)):
+ first_index = ind
+ if plot_data_x[ind] > start:
+ break
+
+ for ind in range(first_index, len(plot_data_x)):
+ all_power += plot_data_y[ind]
+ all_power_count += 1
+ if plot_data_x[ind] > end:
+ self.start_offset = ind - 1
+ break
+ return all_power / all_power_count
+
+ # +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+ # +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
energy_trace = list()
@@ -1697,7 +1784,65 @@ class EnergyTraceWithLogicAnalyzer:
)
return energy_trace
- for name, duration in expected_transitions:
+
+ # +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+ # +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+
+ end_transition_ts = None
+ timestamps_sync_start = 0
+ energy_trace_new = list()
+
+ for ts_index in range(0 + timestamps_sync_start, int(len(modified_timestamps_with_drift) / 2)):
+ start_transition_ts = modified_timestamps_with_drift[ts_index * 2]
+ if end_transition_ts is not None:
+ power = getPowerBetween(end_transition_ts, start_transition_ts)
+ #print("STATE", end_transition_ts * 10 ** 6, start_transition_ts * 10 ** 6, (start_transition_ts - end_transition_ts) * 10 ** 6, power)
+ if (start_transition_ts - end_transition_ts) * 10 ** 6 > 900_000 and power > power_sync_watt * 0.9 and ts_index > 10:
+ #remove last transition and stop (upcoming data only sync)
+ del energy_trace_new[-1]
+ break
+ pass
+
+ state = {
+ "isa": "state",
+ "W_mean": power,
+ "W_std": 0.0001,
+ "s": (start_transition_ts - end_transition_ts), #* 10 ** 6,
+ }
+ energy_trace_new.append(state)
+
+ energy_trace_new[-2]["W_mean_delta_next"] = (
+ energy_trace_new[-2]["W_mean"] - energy_trace_new[-1]["W_mean"]
+ )
+
+ # get energy end_transition_ts
+ end_transition_ts = modified_timestamps_with_drift[ts_index * 2 + 1]
+ power = getPowerBetween(start_transition_ts, end_transition_ts)
+ #print("TRANS", start_transition_ts * 10 ** 6, end_transition_ts * 10 ** 6, (end_transition_ts - start_transition_ts) * 10 ** 6, power)
+ transition = {
+ "isa": "transition",
+ "W_mean": power,
+ "W_std": 0.0001,
+ "s": (end_transition_ts - start_transition_ts), #* 10 ** 6,
+ }
+
+ if (end_transition_ts - start_transition_ts) * 10 ** 6 > 2_000_000:
+ # TODO Last data set corrupted? HOT FIX!!!!!!!!!!!! REMOVE LATER
+ for x in range(4):
+ del energy_trace_new[-1]
+ break
+ pass
+
+ energy_trace_new.append(transition)
+ # print(start_transition_ts, "-", end_transition_ts, "-", end_transition_ts - start_transition_ts)
+
+ # +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+ # +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+
+ energy_trace_new = energy_trace_new[4:]
+
+ for number, item in enumerate(expected_transitions):
+ name, duration = item
transition = {
"isa": "transition",
"W_mean": max(np.random.normal(0.023, 0.002), 0),
@@ -1725,7 +1870,8 @@ class EnergyTraceWithLogicAnalyzer:
energy_trace[-2]["W_mean"] - energy_trace[-1]["W_mean"]
)
- return energy_trace
+ #print(len(energy_trace_new), " - ", len(energy_trace), " - ", ",".join([str(x["s"]) for x in energy_trace_new[-6:]]), " - ", ",".join([str(x["s"]) for x in energy_trace[-6:]]))
+ return energy_trace_new
class EnergyTraceWithTimer(EnergyTraceWithLogicAnalyzer):