from pathlib import Path

import pytest

from haystack.nodes import Text2SparqlRetriever
from haystack.document_stores import GraphDBKnowledgeGraph, InMemoryKnowledgeGraph
from haystack.utils import fetch_archive_from_http


@pytest.mark.graphdb
@pytest.mark.integration
def test_graph_retrieval():
    # TODO rename doc_dir
    graph_dir = "../data/tutorial10_knowledge_graph/"
    s3_url = "https://fandom-qa.s3-eu-west-1.amazonaws.com/triples_and_config.zip"
    fetch_archive_from_http(url=s3_url, output_dir=graph_dir)

    # Fetch a pre-trained BART model that translates natural language questions to SPARQL queries
    model_dir = "../saved_models/tutorial10_knowledge_graph/"
    s3_url = "https://fandom-qa.s3-eu-west-1.amazonaws.com/saved_models/hp_v3.4.zip"
    fetch_archive_from_http(url=s3_url, output_dir=model_dir)

    kg = GraphDBKnowledgeGraph(index="tutorial_10_index")
    kg.delete_index()
    kg.create_index(config_path=Path(graph_dir + "repo-config.ttl"))
    kg.import_from_ttl_file(index="tutorial_10_index", path=Path(graph_dir + "triples.ttl"))
    triple = {
        "p": {"type": "uri", "value": "https://deepset.ai/harry_potter/_paternalgrandfather"},
        "s": {"type": "uri", "value": "https://deepset.ai/harry_potter/Melody_fawley"},
        "o": {"type": "uri", "value": "https://deepset.ai/harry_potter/Marshall_fawley"},
    }
    triples = kg.get_all_triples()
    assert len(triples) > 0
    assert triple in triples

    # Define prefixes for names of resources so that we can use shorter resource names in queries
    prefixes = """PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
    PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
    PREFIX hp: <https://deepset.ai/harry_potter/>
    """
    kg.prefixes = prefixes

    kgqa_retriever = Text2SparqlRetriever(knowledge_graph=kg, model_name_or_path=model_dir + "hp_v3.4")

    result = kgqa_retriever.retrieve(query="In which house is Harry Potter?")
    assert result[0] == {
        "answer": ["https://deepset.ai/harry_potter/Gryffindor"],
        "prediction_meta": {
            "model": "Text2SparqlRetriever",
            "sparql_query": "select ?a { hp:Harry_potter hp:house ?a . }",
        },
    }

    result = kgqa_retriever._query_kg(
        sparql_query="select distinct ?sbj where { ?sbj hp:job hp:Keeper_of_keys_and_grounds . }"
    )
    assert result[0][0] == "https://deepset.ai/harry_potter/Rubeus_hagrid"

    result = kgqa_retriever._query_kg(
        sparql_query="select distinct ?obj where { <https://deepset.ai/harry_potter/Hermione_granger> <https://deepset.ai/harry_potter/patronus> ?obj . }"
    )
    assert result[0][0] == "https://deepset.ai/harry_potter/Otter"


@pytest.mark.integration
def test_inmemory_graph_retrieval():
    # TODO rename doc_dir
    graph_dir = "../data/tutorial10_knowledge_graph/"
    s3_url = "https://fandom-qa.s3-eu-west-1.amazonaws.com/triples_and_config.zip"
    fetch_archive_from_http(url=s3_url, output_dir=graph_dir)

    # Fetch a pre-trained BART model that translates natural language questions to SPARQL queries
    model_dir = "../saved_models/tutorial10_knowledge_graph/"
    s3_url = "https://fandom-qa.s3-eu-west-1.amazonaws.com/saved_models/hp_v3.4.zip"
    fetch_archive_from_http(url=s3_url, output_dir=model_dir)

    kg = InMemoryKnowledgeGraph(index="tutorial_10_index")
    kg.delete_index()
    kg.create_index()
    kg.import_from_ttl_file(index="tutorial_10_index", path=Path(graph_dir + "triples.ttl"))
    triple = {
        "p": {"type": "uri", "value": "https://deepset.ai/harry_potter/_paternalgrandfather"},
        "s": {"type": "uri", "value": "https://deepset.ai/harry_potter/Melody_fawley"},
        "o": {"type": "uri", "value": "https://deepset.ai/harry_potter/Marshall_fawley"},
    }
    triples = kg.get_all_triples()
    assert len(triples) > 0
    assert triple in triples

    kgqa_retriever = Text2SparqlRetriever(knowledge_graph=kg, model_name_or_path=model_dir + "hp_v3.4")

    result = kgqa_retriever.retrieve(query="In which house is Harry Potter?")
    assert result[0] == {
        "answer": ["https://deepset.ai/harry_potter/Gryffindor"],
        "prediction_meta": {
            "model": "Text2SparqlRetriever",
            "sparql_query": "select ?a { hp:Harry_potter hp:house ?a . }",
        },
    }

    result = kgqa_retriever._query_kg(
        sparql_query="select distinct ?sbj where { ?sbj hp:job hp:Keeper_of_keys_and_grounds . }"
    )
    assert result[0][0] == "https://deepset.ai/harry_potter/Rubeus_hagrid"

    result = kgqa_retriever._query_kg(
        sparql_query="select distinct ?obj where { <https://deepset.ai/harry_potter/Hermione_granger> <https://deepset.ai/harry_potter/patronus> ?obj . }"
    )
    assert result[0][0] == "https://deepset.ai/harry_potter/Otter"