bettwaage-sidequest #2
1 changed files with 31 additions and 27 deletions
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@ -9,24 +9,25 @@ history_url = "http://192.168.178.84:9587/bettwaage/history"
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convert_time_to_seconds = True
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# Script
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data = None
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# Get data
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data = Nones
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if file_path is None:
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print("Fetching data ...")
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data = requests.get(history_url)
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data = data.json()
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else:
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print("Reading data ...")
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with open(file_path, "r") as fp:
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data = json.load(fp)
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# Experiment: Solving for missing foot with known total weight
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bed_weight = 81
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person_weight = 63
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known_total_weight = bed_weight + person_weight
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print("Processing data ...")
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# Get rough value for empty bed weight per leg
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rough_bed_weight = 80
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bed_only_weight = {}
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for d in data:
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if d["total"] < bed_weight:
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if d["total"] < rough_bed_weight:
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bed_only_weight = {
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"tl": d["tl"],
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"tr": d["tr"],
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@ -35,29 +36,28 @@ for d in data:
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}
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break
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in_bed_data = None
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# Collect all coherent sequences of someone being in bed
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in_bed_datas: list[list[dict]] = []
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is_in_bed_sequence = False
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threshhold = 100.0
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min_length = 100
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skip = 0
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for d in data:
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t = d["total"]
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if t >= threshhold:
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if in_bed_data is None:
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in_bed_data = []
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in_bed_data.append(d)
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elif in_bed_data is not None and len(in_bed_data) > 0:
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if skip > 0:
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in_bed_data = []
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skip -= 1
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elif len(in_bed_data) < min_length:
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in_bed_data = []
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else:
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break
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if not is_in_bed_sequence:
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in_bed_datas.append([])
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is_in_bed_sequence = True
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in_bed_datas[-1].append(d)
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elif is_in_bed_sequence:
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is_in_bed_sequence = False
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# data = in_bed_data
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# Pick latest with minimum length/duration
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min_length = 100
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for sequence in in_bed_datas:
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if len(sequence) >= min_length:
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data = sequence
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# Array data
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# Prepare data for plotting
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x = [d["timestamp"] for d in data]
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x = [datetime.strptime(d, "%Y-%m-%d %H:%M:%S.%f") for d in x]
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@ -80,12 +80,16 @@ right = [t + b for t, b in zip(tr, br)]
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bed_size = (140, 200)
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left_bed_only = bed_only_weight["tl"] + bed_only_weight["bl"]
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top_bed_only = bed_only_weight["tr"] + bed_only_weight["tl"]
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right_bed_only = bed_only_weight["tr"] + bed_only_weight["br"]
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bottom_bed_only = bed_only_weight["br"] + bed_only_weight["bl"]
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position_over_time = []
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for t, l in zip(top, left):
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for t, b, l, r in zip(top, bottom, left, right):
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horizontal_weight = l - left_bed_only + r - right_bed_only
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vertical_weight = t - top_bed_only + b - bottom_bed_only
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position_over_time.append(
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(
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bed_size[0] * (l - left_bed_only) / person_weight,
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bed_size[1] * (t - top_bed_only) / person_weight,
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bed_size[0] * (l - left_bed_only) / horizontal_weight,
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bed_size[1] * (t - top_bed_only) / vertical_weight,
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)
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)
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