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tornado, fix post json error using request body #147

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e5ec36b
fix AttributeError: 'bytes' object has no attribute 'lists'
zyfxn Nov 19, 2019
53c5c37
tornado, support json post in body request
zyfxn Nov 19, 2019
3e8d8e4
rename obj to schema
zyfxn Nov 19, 2019
d79b26b
validate string error, because it's byte
zyfxn Nov 20, 2019
a73acd4
use if express
zyfxn Nov 20, 2019
5a765e5
tornado, using resolver to solve ref
zyfxn Nov 21, 2019
710fbd6
delete useless code
zyfxn Nov 21, 2019
ee6d7e3
fix bool value is bytes type problem
zyfxn Dec 24, 2019
1221326
Merge branch 'guokr:master' into master
zyfxn Nov 10, 2021
e95e229
refactor
zyfxn Nov 18, 2021
76968dc
Merge branch 'master' of https://github.com/zyfxn/swagger-py-codegen
zyfxn Nov 18, 2021
df1b59e
return a string or nothing should be ok
zyfxn Jan 25, 2022
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19 changes: 13 additions & 6 deletions swagger_py_codegen/templates/tornado/validators.tpl
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Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,7 @@ class ValidatorAdaptor(object):
if obj is None or not obj:
return None
if six.PY3:
if isinstance(obj, str):
if isinstance(obj, str) or isinstance(obj, bytes):
obj = MultiDict(json.loads(obj))
else:
if isinstance(obj, (str, unicode, basestring)):
Expand All @@ -40,20 +40,27 @@ class ValidatorAdaptor(object):
obj = MultiDict(six.iteritems(obj))
result = dict()

def convert_string_if_bytes(value):
return bytes.decode(value) if isinstance(value, bytes) else value

convert_funs = {
'integer': lambda v: self.validate_number(int, v[0]),
'boolean': lambda v: v[0].lower() not in ['n', 'no', 'false', '', '0'],
'boolean': lambda v: convert_string_if_bytes(v[0]).lower() not in ['n', 'no', 'false', '', '0'],
'null': lambda v: None,
'number': lambda v: self.validate_number(float, v[0]),
'string': lambda v: v[0]
'string': lambda v: convert_string_if_bytes(v[0])
}

def convert_array(type_, v):
func = convert_funs.get(type_, lambda v: v[0])
return [func([i]) for i in v]

for k, values in obj.lists():
prop = self.validator.schema['properties'].get(k, {})
schema = self.validator.schema
if '$ref' in schema:
_, schema = resolver.resolve(schema['$ref'])

prop = schema['properties'].get(k, {})
type_ = prop.get('type')
fun = convert_funs.get(type_, lambda v: v[0])
if type_ == 'array':
Expand Down Expand Up @@ -116,8 +123,8 @@ def response_filter(obj):
method = request.method
if method == 'HEAD':
method = 'GET'
headers = None
status = None
headers = {}
status = 200
if isinstance(resp, tuple):
resp, status, headers = unpack(resp)
filter = filters.get((endpoint, method), None)
Expand Down