import io, os, sys
from .base import BaseClassifier
from api.errors import RaiseError
from api import log
from collections import OrderedDict
"""get the logger"""
log = log.get_logger()
class FidBobClassifier(BaseClassifier):
"""name of the classifier"""
name = "fid_intent_classifier"
def __init__(self, t_vector=None, lr_model=None, ncf=None):
"""constructor to init the fid classifier"""
self.ncf = ncf
def predict(self, expression=None):
"""expression for which we run the model against to derive the intent"""
confidence_score = 0
intent = None
#intent, confidence_score = self.ncf(expression)
intent, confidence_score = "Test", 100
l_msg = "model found : {} and score is {}".format(
intent, confidence_score)
log.debug(l_msg)
return intent, confidence_score
"""Resources for API"""
from pathlib import Path
from api import (routes, log)
from api.config import MACHINE_LEARNING_OPTION as model_config
_logger = log.get_logger()
# Constants
SCHEMA_PATH = Path(model_config('schemas_path'))
SCHEMA_IN = SCHEMA_PATH / model_config('schema_in')
SCHEMA_OUT = SCHEMA_PATH / model_config('schema_out')
class Resource:
"""
Resource that actually creates handler functions
and add all routes to the API.
"""
def __init__(self, add_route_fun, executor):
_logger.debug(f'Initializing Resource object {self}')
self.add_route_fun = add_route_fun
# Intanciate Handler Object for Machine Learning
self.machine_learning_object = routes.MachineLearning(
schema_in=SCHEMA_IN,
schema_out=SCHEMA_OUT,
executor=executor,
)
self.healthcheck_object = routes.HealthCheck()
# Register Routes