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feat: add usage, activation to line, persistent alias, auto-updating data based on time

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WorldTeacher
2024-10-22 15:20:39 +02:00
parent 8a1676f318
commit 3977f2e9c1
3 changed files with 54 additions and 16 deletions
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17
src/transform.py
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@@ -47,21 +47,25 @@ class Transform:
for key, value in self.data.items():
sensors.append({"id": key, "value": value})
temp = {}
s_data = {}
start_date = start_date
end_date = end_date
# create a list of all dates between the start and end date
all_dates = createDateList(start_date, end_date)
for sensor in sensors:
tmp = {}
sensor_values = {}
name = sensor["id"]
sensor_values[name] = sensor["value"]
tmp[name] = {"x": [], "y": []}
sensor_data = sensor["value"]
sensor_dates = list(sensor_data.keys())
print(len(all_dates))
sum_activations = 0
for date in all_dates:
# print(date)
if date not in sensor_dates:
# print("Date not in sensor data", name, date)
if addMissing:
@@ -71,6 +75,11 @@ class Transform:
on_state = len(sensor_data[date]["on"])
off_state = len(sensor_data[date]["off"])
activations = (on_state + off_state) / 2
if activations == 1:
activations = 0
else:
activations = on_state
sum_activations += activations
# add the date to the tmp dictionary as x and the number of activations as y
tmp[name]["x"].append(date)
tmp[name]["y"].append(activations)
@@ -83,8 +92,10 @@ class Transform:
# tmp[name]["y"].append(activations if activations > 1 else 0)
temp.update(tmp)
#create new entry in s_data for sensor, add key "total_activations" and the sum of all activations, as well as the usage, which is activation divided by the number of days
s_data[name] = {"total_activations": sum_activations, "usage": round(sum_activations / 2)}
return temp
return temp, s_data
if __name__ == "__main__":