# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import os

import conversation_management
import conversation_profile_management
import document_management
import knowledge_base_management
import participant_management

PROJECT_ID = os.getenv('GOOGLE_CLOUD_PROJECT')
KNOWLEDGE_BASE_DISPLAY_NAME = 'fake_KNOWLEDGE_BASE_DISPLAY_NAME'
DOCUMENT_DISPLAY_NAME = 'Cancel an order'
CONVERSATION_PROFILE_DISPLAY_NAME = 'fake_conversation_profile'


def test_analyze_content_text(capsys):
    """Test analyze content api with text only messages.
    """
    # Create knowledge base.
    knowledge_base_management.create_knowledge_base(
        PROJECT_ID, KNOWLEDGE_BASE_DISPLAY_NAME)
    out, _ = capsys.readouterr()
    knowledge_base_id = out.split('knowledgeBases/')[1].rstrip()
    # Get the knowledge base
    knowledge_base_management.get_knowledge_base(PROJECT_ID, knowledge_base_id)

    out, _ = capsys.readouterr()
    assert 'Display Name: {}'.format(KNOWLEDGE_BASE_DISPLAY_NAME) in out

    # Create documents. Note that you should get read permission of bucket gs://ruogu/parsed_5_24/7157212.html
    # via Pantheon for service account (google application credential account) from here:
    # https://pantheon.corp.google.com/storage/browser/ruogu/parsed_5_24/?project=agent-assistant-demo
    document_management.create_document(PROJECT_ID, knowledge_base_id,
                                        DOCUMENT_DISPLAY_NAME, 'text/html',
                                        'ARTICLE_SUGGESTION',
                                        'gs://ruogu/parsed_5_24/7157212.html')
    out, _ = capsys.readouterr()
    document_id = out.split('documents/')[1].split(' - MIME Type:')[0].rstrip()

    # Get the Document
    document_management.get_document(PROJECT_ID, knowledge_base_id,
                                     document_id)

    out, _ = capsys.readouterr()
    assert 'Display Name: {}'.format(DOCUMENT_DISPLAY_NAME) in out

    # Create conversation profile.
    conversation_profile_management.create_conversation_profile_article_faq(
        project_id=PROJECT_ID,
        display_name=CONVERSATION_PROFILE_DISPLAY_NAME,
        article_suggestion_knowledge_base_id=knowledge_base_id)

    out, _ = capsys.readouterr()
    assert 'Display Name: {}'.format(CONVERSATION_PROFILE_DISPLAY_NAME) in out
    conversation_profile_id = out.split('conversationProfiles/')[1].rstrip()

    # Create conversation.
    conversation_management.create_conversation(
        project_id=PROJECT_ID, conversation_profile_id=conversation_profile_id)

    out, _ = capsys.readouterr()
    conversation_id = out.split('conversations/')[1].rstrip()

    # Create end user participant.
    participant_management.create_participant(project_id=PROJECT_ID,
                                              conversation_id=conversation_id,
                                              role='END_USER')
    out, _ = capsys.readouterr()
    end_user_id = out.split('participants/')[1].rstrip()

    # Create human agent participant.
    participant_management.create_participant(project_id=PROJECT_ID,
                                              conversation_id=conversation_id,
                                              role='HUMAN_AGENT')
    out, _ = capsys.readouterr()
    human_agent_id = out.split('participants/')[1].rstrip()

    # AnalyzeContent
    participant_management.analyze_content_text(
        project_id=PROJECT_ID,
        conversation_id=conversation_id,
        participant_id=human_agent_id,
        text='Hi, how are you?')
    out, _ = capsys.readouterr()

    participant_management.analyze_content_text(
        project_id=PROJECT_ID,
        conversation_id=conversation_id,
        participant_id=end_user_id,
        text='Hi, I am doing well, how about you?')
    out, _ = capsys.readouterr()

    participant_management.analyze_content_text(
        project_id=PROJECT_ID,
        conversation_id=conversation_id,
        participant_id=human_agent_id,
        text='Great. How can I help you?')
    out, _ = capsys.readouterr()

    participant_management.analyze_content_text(
        project_id=PROJECT_ID,
        conversation_id=conversation_id,
        participant_id=end_user_id,
        text='So I ordered something, but I do not like it.')
    out, _ = capsys.readouterr()

    participant_management.analyze_content_text(
        project_id=PROJECT_ID,
        conversation_id=conversation_id,
        participant_id=end_user_id,
        text='Thinking if I can cancel that order')
    suggestion_out, _ = capsys.readouterr()
    # Currently suggestion_out won't contain the suggestion we want since it
    # takes time for document to be ready to serve.
    # assert 'Cancel an order' in suggestion_out

    # Complete conversation.
    conversation_management.complete_conversation(
        project_id=PROJECT_ID, conversation_id=conversation_id)

    # Delete conversation profile.
    conversation_profile_management.delete_conversation_profile(
        project_id=PROJECT_ID, conversation_profile_id=conversation_profile_id)

    # Delete document.
    document_management.delete_document(PROJECT_ID, knowledge_base_id,
                                        document_id)

    # Delete the Knowledge Base.
    knowledge_base_management.delete_knowledge_base(PROJECT_ID,
                                                    knowledge_base_id)