def deleteStory(storyId):
story = Story.objects.filter(id=ObjectId(storyId))
if g.botId:
story=story.filter(bot=g.botId)
botId=g.botId
else:
botId='default'
story.get().delete()
try:
intentClassifier = IntentClassifier()
intentClassifier.setBotId(g.botId)
intentClassifier.train()
except BaseException:
pass
try:
os.remove("{}/{},{}.model".format(app.config["MODELS_DIR"],botId, storyId))
except OSError:
pass
return buildResponse.sentOk()
def api():
requestJson = request.get_json(silent=True)
resultJson = requestJson
if requestJson:
context = {}
context["context"] = requestJson["context"]
if app.config["DEFAULT_WELCOME_INTENT_NAME"] in requestJson.get(
"input"):
story = Story.objects(
intentName=app.config["DEFAULT_WELCOME_INTENT_NAME"]).first()
resultJson["complete"] = True
resultJson["intent"]["name"] = story.storyName
resultJson["intent"]["storyId"] = str(story.id)
resultJson["input"] = requestJson.get("input")
template = Template(story.speechResponse,
undefined=SilentUndefined)
resultJson["speechResponse"] = template.render(**context)
logger.info(requestJson.get("input"), extra=resultJson)
return buildResponse.buildJson(resultJson)
intentClassifier = IntentClassifier()
intentClassifier.setBotId(g.botId)
storyId = intentClassifier.predict(requestJson.get("input"))
story = Story.objects.get(id=ObjectId(storyId))
if story.parameters:
parameters = story.parameters
else:
parameters = []
if ((requestJson.get("complete") is None)
or (requestJson.get("complete") is True)):
resultJson["intent"] = {
"name": story.intentName,
"storyId": str(story.id)
}
if parameters:
extractedParameters = sequenceLabeler.predict(
storyId, requestJson.get("input"))
missingParameters = []
resultJson["missingParameters"] = []
resultJson["extractedParameters"] = {}
resultJson["parameters"] = []
for parameter in parameters:
resultJson["parameters"].append({
"name":
parameter.name,
"type":
parameter.type,
"required":
parameter.required
})
if parameter.required:
if parameter.name not in extractedParameters.keys():
resultJson["missingParameters"].append(
parameter.name)
missingParameters.append(parameter)
resultJson["extractedParameters"] = extractedParameters
if missingParameters:
resultJson["complete"] = False
currentNode = missingParameters[0]
resultJson["currentNode"] = currentNode["name"]
resultJson["speechResponse"] = currentNode["prompt"]
else:
resultJson["complete"] = True
context["parameters"] = extractedParameters
else:
resultJson["complete"] = True
elif (requestJson.get("complete") is False):
if "cancel" not in story.intentName:
storyId = requestJson["intent"]["storyId"]
story = Story.objects.get(id=ObjectId(storyId))
resultJson["extractedParameters"][requestJson.get(
"currentNode")] = requestJson.get("input")
resultJson["missingParameters"].remove(
requestJson.get("currentNode"))
if len(resultJson["missingParameters"]) == 0:
resultJson["complete"] = True
context = {}
context["parameters"] = resultJson["extractedParameters"]
context["context"] = requestJson["context"]
else:
missingParameter = resultJson["missingParameters"][0]
resultJson["complete"] = False
currentNode = [
node for node in story.parameters
if missingParameter in node.name
][0]
resultJson["currentNode"] = currentNode.name
resultJson["speechResponse"] = currentNode.prompt
else:
resultJson["currentNode"] = None
resultJson["missingParameters"] = []
resultJson["parameters"] = {}
resultJson["intent"] = {}
resultJson["complete"] = True
if resultJson["complete"]:
if story.apiTrigger:
isJson = False
parameters = resultJson["extractedParameters"]
urlTemplate = Template(story.apiDetails.url,
undefined=SilentUndefined)
renderedUrl = urlTemplate.render(**context)
if story.apiDetails.isJson:
isJson = True
requestTemplate = Template(story.apiDetails.jsonData,
undefined=SilentUndefined)
parameters = requestTemplate.render(**context)
try:
result = callApi(renderedUrl, story.apiDetails.requestType,
parameters, isJson)
except Exception as e:
print(e)
resultJson["speechResponse"] = "Service is not available. "
else:
print(result)
context["result"] = result
template = Template(story.speechResponse,
undefined=SilentUndefined)
resultJson["speechResponse"] = template.render(**context)
else:
context["result"] = {}
template = Template(story.speechResponse,
undefined=SilentUndefined)
resultJson["speechResponse"] = template.render(**context)
logger.info(requestJson.get("input"), extra=resultJson)
return buildResponse.buildJson(resultJson)
else:
return abort(400)
def buildModel(storyId):
sequenceLabeler.train(storyId)
intentClassifier = IntentClassifier()
intentClassifier.setBotId(g.botId)
intentClassifier.train()
return buildResponse.sentOk()
import nltk
import os
# Downloading necessary NLTK datasets
nltk.download("stopwords")
nltk.download("wordnet")
nltk.download('averaged_perceptron_tagger')
nltk.download('punkt')
# creating directory for storing chat logs
if not os.path.exists("logs"):
os.makedirs("logs")
try:
print("Training models..")
from app.core.intentClassifier import IntentClassifier
intentClassifier = IntentClassifier()
intentClassifier.setBotId('default')
intentClassifier.train()
print("Training models finished..")
except Exception as e:
e = str(e)
if e == "NO_DATA":
e = "load Data first into mongodb. Reffer Readme."
print("Could not train models..skipping.. (reason: {})".format(e))