79 lines
1.8 KiB
Python
79 lines
1.8 KiB
Python
import json
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from statistics import mean, median
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def parse_jsonish(value):
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"""Parse nested JSON strings until a non-string value is reached."""
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current = value
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while isinstance(current, str):
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text = current.strip()
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if not text:
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return current
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try:
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current = json.loads(text)
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except json.JSONDecodeError:
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return current
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return current
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def safe_int(value, default=0):
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if value is None or value == "":
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return default
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try:
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return int(value)
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except (TypeError, ValueError):
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return default
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def safe_float(value, default=0.0):
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if value is None or value == "":
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return default
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try:
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return float(value)
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except (TypeError, ValueError):
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return default
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def percentile(values, pct):
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if not values:
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return 0.0
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ordered = sorted(values)
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if len(ordered) == 1:
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return float(ordered[0])
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rank = pct * (len(ordered) - 1)
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low = int(rank)
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high = min(low + 1, len(ordered) - 1)
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fraction = rank - low
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return ordered[low] + (ordered[high] - ordered[low]) * fraction
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def series_stats(values):
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cleaned = [v for v in values if v is not None]
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if not cleaned:
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return {
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"count": 0,
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"min": 0,
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"max": 0,
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"mean": 0.0,
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"median": 0.0,
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"p90": 0.0,
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}
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return {
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"count": len(cleaned),
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"min": min(cleaned),
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"max": max(cleaned),
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"mean": mean(cleaned),
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"median": median(cleaned),
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"p90": percentile(cleaned, 0.9),
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}
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def safe_div(numerator, denominator):
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if not denominator:
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return 0.0
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return numerator / denominator
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def compact_json(data):
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return json.dumps(data, ensure_ascii=False, separators=(",", ":"))
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