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import re
from functools import partial
from typing import Any
from typing import List
from typing import Mapping
from openapi_core.schema.protocols import SuportsGetAll
from openapi_core.schema.protocols import SuportsGetList
def split(value: str, separator: str = ",", step: int = 1) -> List[str]:
parts = value.split(separator)
if step == 1:
return parts
result = []
for i in range(len(parts)):
if i % step == 0:
if i + 1 < len(parts):
result.append(parts[i] + separator + parts[i + 1])
return result
def delimited_loads(
explode: bool,
name: str,
schema_type: str,
location: Mapping[str, Any],
delimiter: str,
) -> Any:
value = location[name]
explode_type = (explode, schema_type)
if explode_type == (False, "array"):
return split(value, separator=delimiter)
if explode_type == (False, "object"):
return dict(
map(
partial(split, separator=delimiter),
split(value, separator=delimiter, step=2),
)
)
raise ValueError("not available")
def matrix_loads(
explode: bool, name: str, schema_type: str, location: Mapping[str, Any]
) -> Any:
if explode == False:
m = re.match(rf"^;{name}=(.*)$", location[f";{name}"])
if m is None:
raise KeyError(name)
value = m.group(1)
# ;color=blue,black,brown
if schema_type == "array":
return split(value)
# ;color=R,100,G,200,B,150
if schema_type == "object":
return dict(map(split, split(value, step=2)))
# .;color=blue
return value
else:
# ;color=blue;color=black;color=brown
if schema_type == "array":
return re.findall(rf";{name}=([^;]*)", location[f";{name}*"])
# ;R=100;G=200;B=150
if schema_type == "object":
value = location[f";{name}*"]
return dict(
map(
partial(split, separator="="),
split(value[1:], separator=";"),
)
)
# ;color=blue
m = re.match(rf"^;{name}=(.*)$", location[f";{name}*"])
if m is None:
raise KeyError(name)
value = m.group(1)
return value
def label_loads(
explode: bool, name: str, schema_type: str, location: Mapping[str, Any]
) -> Any:
if explode == False:
value = location[f".{name}"]
# .blue,black,brown
if schema_type == "array":
return split(value[1:])
# .R,100,G,200,B,150
if schema_type == "object":
return dict(map(split, split(value[1:], separator=",", step=2)))
# .blue
return value[1:]
else:
value = location[f".{name}*"]
# .blue.black.brown
if schema_type == "array":
return split(value[1:], separator=".")
# .R=100.G=200.B=150
if schema_type == "object":
return dict(
map(
partial(split, separator="="),
split(value[1:], separator="."),
)
)
# .blue
return value[1:]
def form_loads(
explode: bool, name: str, schema_type: str, location: Mapping[str, Any]
) -> Any:
explode_type = (explode, schema_type)
# color=blue,black,brown
if explode_type == (False, "array"):
return split(location[name], separator=",")
# color=blue&color=black&color=brown
elif explode_type == (True, "array"):
if name not in location:
raise KeyError(name)
if isinstance(location, SuportsGetAll):
return location.getall(name)
if isinstance(location, SuportsGetList):
return location.getlist(name)
return location[name]
value = location[name]
# color=R,100,G,200,B,150
if explode_type == (False, "object"):
return dict(map(split, split(value, separator=",", step=2)))
# R=100&G=200&B=150
elif explode_type == (True, "object"):
return dict(
map(partial(split, separator="="), split(value, separator="&"))
)
# color=blue
return value
def simple_loads(
explode: bool, name: str, schema_type: str, location: Mapping[str, Any]
) -> Any:
value = location[name]
# blue,black,brown
if schema_type == "array":
return split(value, separator=",")
explode_type = (explode, schema_type)
# R,100,G,200,B,150
if explode_type == (False, "object"):
return dict(map(split, split(value, separator=",", step=2)))
# R=100,G=200,B=150
elif explode_type == (True, "object"):
return dict(
map(partial(split, separator="="), split(value, separator=","))
)
# blue
return value
def space_delimited_loads(
explode: bool, name: str, schema_type: str, location: Mapping[str, Any]
) -> Any:
return delimited_loads(
explode, name, schema_type, location, delimiter="%20"
)
def pipe_delimited_loads(
explode: bool, name: str, schema_type: str, location: Mapping[str, Any]
) -> Any:
return delimited_loads(explode, name, schema_type, location, delimiter="|")
def deep_object_loads(
explode: bool, name: str, schema_type: str, location: Mapping[str, Any]
) -> Any:
explode_type = (explode, schema_type)
if explode_type != (True, "object"):
raise ValueError("not available")
keys_str = " ".join(location.keys())
if not re.search(rf"{name}\[\w+\]", keys_str):
raise KeyError(name)
values = {}
for key, value in location.items():
# Split the key from the brackets.
key_split = re.split(pattern=r"\[|\]", string=key)
if key_split[0] == name:
values[key_split[1]] = value
return values
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