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on
Zero
Running
on
Zero
File size: 1,633 Bytes
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import argparse
def parse_scalar(s):
if not isinstance(s, str):
return s
t = s.strip()
l = t.lower()
if l == "true":
return True
if l == "false":
return False
if l in ("none", "null"):
return None
try:
return int(t, 10)
except Exception:
pass
try:
return float(t)
except Exception:
return s
def fn_kv_csv(s: str) -> dict[str, dict[str, object]]:
"""
Parse a string of comma-separated triplets: fn:key:value
Returns:
dict[fn_name] -> dict[key] = parsed_value
Example:
"fn1:width:1920,fn1:height:1080,fn2:quality:0.8"
-> {"fn1": {"width": 1920, "height": 1080}, "fn2": {"quality": 0.8}}
"""
result: dict[str, dict[str, object]] = {}
if not s:
return result
for item in s.split(","):
if not item:
continue
parts = item.split(":", 2) # allow value to contain ":" beyond first two separators
if len(parts) < 3:
raise argparse.ArgumentTypeError(f"Bad item '{item}', expected FN:KEY:VALUE")
fn, key, raw_val = parts[0], parts[1], parts[2]
# If you need to allow colons in values, join leftover parts:
# fn, key, raw_val = parts[0], parts[1], ":".join(parts[2:])
if not fn:
raise argparse.ArgumentTypeError(f"Bad item '{item}': empty function name")
if not key:
raise argparse.ArgumentTypeError(f"Bad item '{item}': empty key")
val = parse_scalar(raw_val)
bucket = result.setdefault(fn, {})
bucket[key] = val
return result
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