[eval_records]
- plot data
This commit is contained in:
+30
-17
@@ -2,13 +2,15 @@ import json
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import os
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from datetime import datetime
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from jay_diff import jay_merge_full
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from matplotlib import pyplot as plot
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BASE = "/media/jens/cifs/jens@moon/projects/we_collect/results"
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VIN = 'WVWZZZE1ZMP010760'
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USER = 'alex'
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YEAR = 2024
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MONTH = 10
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DAY = ['20', '21', '22']
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DAY = ['15', '16', '17', '18', '19', '20', '21', '22', '23']
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def has_diff_entries(diff):
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@@ -35,12 +37,17 @@ class Endpoint:
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self._ts_format = _ts_format
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self._ts_path_keys = self.to_keys(_ts_path)
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def __str__(self):
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return f"{self._ep_path}:{len(self._values)}: {self._values}"
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def timestamps_str(self):
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return f"{self._ep_path}:{len(self._timestamps)}: {self._timestamps}"
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@property
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def timestamps(self):
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return self._timestamps
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@property
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def values(self):
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return self._values
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@property
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def path(self):
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return self._ep_path
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@@ -82,12 +89,11 @@ class Endpoint:
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return Endpoint.deref_multi(data[keys[0]], keys[1:]) if keys else data
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end_points = [
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Endpoint('data/measurements/odometerStatus/value/odometer', 'info/timestamp'),
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Endpoint('data/measurements/fuelLevelStatus/value/currentSOC_pct', 'info/timestamp'),
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Endpoint('data/vehicleLights/lightsStatus/value/lights', 'info/timestamp'),
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Endpoint('data/fuelStatus/rangeStatus/value/primaryEngine', 'info/timestamp')
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]
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end_points = {
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'odo': Endpoint('data/measurements/odometerStatus/value/odometer', 'info/timestamp'),
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'soc': Endpoint('data/measurements/fuelLevelStatus/value/currentSOC_pct', 'info/timestamp'),
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'engine': Endpoint('data/fuelStatus/rangeStatus/value/primaryEngine', 'info/timestamp')
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}
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def convert(timestamp_str: str, pattern: str = "%Y-%m-%dT%H:%M:%S.%f%z"):
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@@ -158,14 +164,21 @@ for day in day_list:
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vehicle_data = jay_merge_full(last, vehicle_diff)
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last = vehicle_data
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try:
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for end_point in end_points:
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end_point.assign({'info': record['info'], 'data': vehicle_data})
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for k in end_points.keys():
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end_points[k].assign({'info': record['info'], 'data': vehicle_data})
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except KeyError:
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pass
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for end_point in end_points:
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end_point.remove_dups()
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print(end_point)
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print(end_point.timestamps_str())
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for k in end_points.keys():
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end_points[k].remove_dups()
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d = convert('2024-10-17T18:37:17.067Z')
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plot.subplot(2, 1, 1)
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plot.plot(end_points['odo'].timestamps, end_points['odo'].values)
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plot.title("Kilometerstand")
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plot.grid()
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plot.subplot(2, 1, 2)
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plot.plot(end_points['odo'].timestamps, end_points['soc'].values)
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plot.title("Akku in %")
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plot.grid()
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plot.show()
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