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mirror of https://github.com/gsi-upm/senpy synced 2024-11-14 04:32:29 +00:00
senpy/senpy/models.py
J. Fernando Sánchez 0c8f98d466 Pre-0.8.6
* Improved debugging (back to using Flask's built-in mechanisms)
* Recursive model loading from json
* Added DEVPORT to Makefile
* Accept json-ld input. Closes #16
* Improved Exception handling in client
* Modified default plugin selection to only include analysis plugins
* More tests
2017-03-14 19:59:06 +01:00

362 lines
10 KiB
Python

'''
Senpy Models.
This implementation should mirror the JSON schema definition.
For compatibility with Py3 and for easier debugging, this new version drops
introspection and adds all arguments to the models.
'''
from __future__ import print_function
from six import string_types
import time
import copy
import json
import os
import jsonref
import jsonschema
from flask import Response as FlaskResponse
from pyld import jsonld
from rdflib import Graph
import logging
logger = logging.getLogger(__name__)
DEFINITIONS_FILE = 'definitions.json'
CONTEXT_PATH = os.path.join(
os.path.dirname(os.path.realpath(__file__)), 'schemas', 'context.jsonld')
def get_schema_path(schema_file, absolute=False):
if absolute:
return os.path.realpath(schema_file)
else:
return os.path.join(
os.path.dirname(os.path.realpath(__file__)), 'schemas',
schema_file)
def read_schema(schema_file, absolute=False):
schema_path = get_schema_path(schema_file, absolute)
schema_uri = 'file://{}'.format(schema_path)
with open(schema_path) as f:
return jsonref.load(f, base_uri=schema_uri)
base_schema = read_schema(DEFINITIONS_FILE)
class Context(dict):
@staticmethod
def load(context):
logging.debug('Loading context: {}'.format(context))
if not context:
return context
elif isinstance(context, list):
contexts = []
for c in context:
contexts.append(Context.load(c))
return contexts
elif isinstance(context, dict):
return Context(context)
elif isinstance(context, string_types):
try:
with open(context) as f:
return Context(json.loads(f.read()))
except IOError:
return context
else:
raise AttributeError('Please, provide a valid context')
base_context = Context.load(CONTEXT_PATH)
class SenpyMixin(object):
_context = base_context["@context"]
def flask(self,
in_headers=True,
headers=None,
outformat='json-ld',
**kwargs):
"""
Return the values and error to be used in flask.
So far, it returns a fixed context. We should store/generate different
contexts if the plugin adds more aliases.
"""
headers = headers or {}
kwargs["with_context"] = not in_headers
content, mimetype = self.serialize(format=outformat,
with_mime=True,
**kwargs)
if outformat == 'json-ld' and in_headers:
headers.update({
"Link":
('<%s>;'
'rel="http://www.w3.org/ns/json-ld#context";'
' type="application/ld+json"' % kwargs.get('context_uri'))
})
return FlaskResponse(
response=content,
status=getattr(self, "status", 200),
headers=headers,
mimetype=mimetype)
def serialize(self, format='json-ld', with_mime=False, **kwargs):
js = self.jsonld(**kwargs)
if format == 'json-ld':
content = json.dumps(js, indent=2, sort_keys=True)
mimetype = "application/json"
elif format in ['turtle', ]:
logger.debug(js)
content = json.dumps(js, indent=2, sort_keys=True)
g = Graph().parse(
data=content,
format='json-ld',
base=kwargs.get('prefix'),
context=self._context)
logger.debug(
'Parsing with prefix: {}'.format(kwargs.get('prefix')))
content = g.serialize(format='turtle').decode('utf-8')
mimetype = 'text/{}'.format(format)
else:
raise Error('Unknown outformat: {}'.format(format))
if with_mime:
return content, mimetype
else:
return content
def serializable(self):
def ser_or_down(item):
if hasattr(item, 'serializable'):
return item.serializable()
elif isinstance(item, dict):
temp = dict()
for kp in item:
vp = item[kp]
temp[kp] = ser_or_down(vp)
return temp
elif isinstance(item, list):
return list(ser_or_down(i) for i in item)
else:
return item
return ser_or_down(self._plain_dict())
def jsonld(self,
with_context=True,
context_uri=None,
prefix=None,
expanded=False):
ser = self.serializable()
result = jsonld.compact(
ser,
self._context,
options={
'base': prefix,
'expandContext': self._context,
'senpy': prefix
})
if context_uri:
result['@context'] = context_uri
if expanded:
result = jsonld.expand(
result, options={'base': prefix,
'expandContext': self._context})
if not with_context:
del result['@context']
return result
def to_JSON(self, *args, **kwargs):
js = json.dumps(self.jsonld(*args, **kwargs), indent=4, sort_keys=True)
return js
def validate(self, obj=None):
if not obj:
obj = self
if hasattr(obj, "jsonld"):
obj = obj.jsonld()
jsonschema.validate(obj, self.schema)
def __str__(self):
return str(self.to_JSON())
class BaseModel(SenpyMixin, dict):
schema = base_schema
def __init__(self, *args, **kwargs):
if 'id' in kwargs:
self.id = kwargs.pop('id')
elif kwargs.pop('_auto_id', True):
self.id = '_:{}_{}'.format(type(self).__name__, time.time())
temp = dict(*args, **kwargs)
for obj in [
self.schema,
] + self.schema.get('allOf', []):
for k, v in obj.get('properties', {}).items():
if 'default' in v and k not in temp:
temp[k] = copy.deepcopy(v['default'])
for i in temp:
nk = self._get_key(i)
if nk != i:
temp[nk] = temp[i]
del temp[i]
try:
temp['@type'] = getattr(self, '@type')
except AttributeError:
logger.warn('Creating an instance of an unknown model')
super(BaseModel, self).__init__(temp)
def _get_key(self, key):
key = key.replace("__", ":", 1)
return key
def __setitem__(self, key, value):
dict.__setitem__(self, key, value)
def __delitem__(self, key):
dict.__delitem__(self, key)
def __getattr__(self, key):
try:
return self.__getitem__(self._get_key(key))
except KeyError:
raise AttributeError(key)
def __setattr__(self, key, value):
self.__setitem__(self._get_key(key), value)
def __delattr__(self, key):
self.__delitem__(self._get_key(key))
def _plain_dict(self):
d = {k: v for (k, v) in self.items() if k[0] != "_"}
if 'id' in d:
d["@id"] = d.pop('id')
return d
_subtypes = {}
def register(rsubclass, rtype=None):
_subtypes[rtype or rsubclass.__name__] = rsubclass
def from_dict(indict, cls=None):
if not cls:
target = indict.get('@type', None)
try:
if target and target in _subtypes:
cls = _subtypes[target]
else:
cls = BaseModel
except Exception:
cls = BaseModel
outdict = dict()
for k, v in indict.items():
if k == '@context':
pass
elif isinstance(v, dict):
v = from_dict(indict[k])
elif isinstance(v, list):
for ix, v2 in enumerate(v):
if isinstance(v2, dict):
v[ix] = from_dict(v2)
outdict[k] = v
return cls(**outdict)
def from_string(string, **kwargs):
return from_dict(json.loads(string), **kwargs)
def from_json(injson):
indict = json.loads(injson)
return from_dict(indict)
def from_schema(name, schema_file=None, base_classes=None):
base_classes = base_classes or []
base_classes.append(BaseModel)
schema_file = schema_file or '{}.json'.format(name)
class_name = '{}{}'.format(name[0].upper(), name[1:])
newclass = type(class_name, tuple(base_classes), {})
setattr(newclass, '@type', name)
setattr(newclass, 'schema', read_schema(schema_file))
setattr(newclass, 'class_name', class_name)
register(newclass, name)
return newclass
def _add_from_schema(*args, **kwargs):
generatedClass = from_schema(*args, **kwargs)
globals()[generatedClass.__name__] = generatedClass
del generatedClass
for i in [
'analysis',
'emotion',
'emotionConversion',
'emotionConversionPlugin',
'emotionAnalysis',
'emotionModel',
'emotionPlugin',
'emotionSet',
'entry',
'plugin',
'plugins',
'response',
'results',
'sentiment',
'sentimentPlugin',
'suggestion',
]:
_add_from_schema(i)
_ErrorModel = from_schema('error')
class Error(SenpyMixin, Exception):
def __init__(self, message, *args, **kwargs):
super(Error, self).__init__(self, message, message)
self._error = _ErrorModel(message=message, *args, **kwargs)
self.message = message
def __getitem__(self, key):
return self._error[key]
def __setitem__(self, key, value):
self._error[key] = value
def __delitem__(self, key):
del self._error[key]
def __getattr__(self, key):
if key != '_error' and hasattr(self._error, key):
return getattr(self._error, key)
raise AttributeError(key)
def __setattr__(self, key, value):
if key != '_error':
return setattr(self._error, key, value)
else:
super(Error, self).__setattr__(key, value)
def __delattr__(self, key):
delattr(self._error, key)
register(Error, 'error')