from tc_analyzer_lib.algorithms.neo4j_analysis.louvain import Louvain
from tc_analyzer_lib.schemas import GraphSchema
from tc_neo4j_lib.neo4j_ops import Neo4jOps


def test_louvain_algorithm_available_data():
    """
    test the louvain algorithm with some nodes connected
    """
    neo4j_ops = Neo4jOps.get_instance()
    # deleting all data
    neo4j_ops.gds.run_cypher("MATCH (n) DETACH DELETE (n)")

    # timestamps
    today = 1689280200.0
    yesterday = 1689193800.0
    graph_schema = GraphSchema(platform="discord")
    platform_id = "5151515151515"

    user_label = graph_schema.user_label
    platform_label = graph_schema.platform_label
    interacted_with = graph_schema.interacted_with_rel
    is_member = graph_schema.member_relation

    # creating some nodes with data
    neo4j_ops.gds.run_cypher(
        f"""
        CREATE (a:{user_label}) -[:{is_member}]->(g:{platform_label} {{id: '{platform_id}'}})
        CREATE (b:{user_label}) -[:{is_member}]->(g)
        CREATE (c:{user_label}) -[:{is_member}]->(g)
        SET a.id = "1000"
        SET b.id = "1001"
        SET c.id = "1002"
        MERGE (a) -[r:{interacted_with} {{weight: 1, date: {yesterday}}}]->(b)
        MERGE (a) -[r2:{interacted_with} {{weight: 2, date: {today}}}]->(b)
        MERGE (a) -[r3:{interacted_with} {{weight: 3, date: {yesterday}}}]->(c)
        MERGE (b) -[r4:{interacted_with} {{weight: 2, date: {yesterday}}}]->(c)
        SET r.platformId = '{platform_id}'
        SET r2.platformId = '{platform_id}'
        SET r3.platformId = '{platform_id}'
        SET r4.platformId = '{platform_id}'
        """
    )
    louvain = Louvain(platform_id, graph_schema)
    louvain.compute(from_start=False)

    results = neo4j_ops.gds.run_cypher(
        f"""
        MATCH (g:{platform_label} {{id: '{platform_id}'}})-[r:HAVE_METRICS]->(g)
        RETURN r.date as date, r.louvainModularityScore as modularityScore
        """
    )

    assert len(results) == 1
    assert results["date"].iloc[0] in [today]


def test_louvain_algorithm_more_available_data():
    """
    test the louvain algorithm with some more data available
    """
    neo4j_ops = Neo4jOps.get_instance()
    # deleting all data
    neo4j_ops.gds.run_cypher("MATCH (n) DETACH DELETE (n)")

    # timestamps
    today = 1689280200.0
    yesterday = 1689193800.0
    graph_schema = GraphSchema(platform="discord")
    platform_id = "5151515151515"

    user_label = graph_schema.user_label
    platform_label = graph_schema.platform_label
    interacted_with = graph_schema.interacted_with_rel
    is_member = graph_schema.member_relation

    # creating some nodes with data
    neo4j_ops.gds.run_cypher(
        f"""
        CREATE (a:{user_label}) -[:{is_member}]->(g:{platform_label} {{id: '{platform_id}'}})
        CREATE (b:{user_label}) -[:{is_member}]->(g)
        CREATE (c:{user_label}) -[:{is_member}]->(g)
        CREATE (d:{user_label}) -[:{is_member}]->(g)
        CREATE (e:{user_label}) -[:{is_member}]->(g)
        SET a.id = "1000"
        SET b.id = "1001"
        SET c.id = "1002"
        SET d.id = "1003"
        SET e.id = "1004"
        MERGE (a) -[r:{interacted_with} {{date: {yesterday}, weight: 1}}]->(b)
        MERGE (a) -[r2:{interacted_with} {{date: {today}, weight: 2}}]->(b)
        MERGE (a) -[r3:{interacted_with} {{date: {yesterday}, weight: 3}}]->(d)
        MERGE (c) -[r4:{interacted_with} {{date: {yesterday}, weight: 2}}]->(b)
        MERGE (c) -[r5:{interacted_with} {{date: {today}, weight: 1}}]->(b)
        MERGE (c) -[r6:{interacted_with} {{date: {yesterday}, weight: 2}}]->(d)
        MERGE (d) -[r7:{interacted_with} {{date: {yesterday}, weight: 1}}]->(b)
        MERGE (c) -[r8:{interacted_with} {{date: {today}, weight: 2}}]->(a)
        MERGE (d) -[r9:{interacted_with} {{date: {today}, weight: 1}}]->(c)
        MERGE (b) -[r10:{interacted_with} {{date: {today}, weight: 2}}]->(d)
        MERGE (d) -[r11:{interacted_with} {{date: {today}, weight: 1}}]->(c)
        MERGE (e) -[r12:{interacted_with} {{date: {today}, weight: 3}}]->(b)

        SET r.platformId = '{platform_id}'
        SET r2.platformId = '{platform_id}'
        SET r3.platformId = '{platform_id}'
        SET r4.platformId = '{platform_id}'
        SET r5.platformId = '{platform_id}'
        SET r6.platformId = '{platform_id}'
        SET r7.platformId = '{platform_id}'
        SET r8.platformId = '{platform_id}'
        SET r9.platformId = '{platform_id}'
        SET r10.platformId = '{platform_id}'
        SET r11.platformId = '{platform_id}'
        SET r12.platformId = '{platform_id}'
        """
    )
    louvain = Louvain(platform_id, graph_schema)

    louvain.compute(from_start=False)

    results = neo4j_ops.gds.run_cypher(
        f"""
        MATCH (g:{platform_label} {{id: '{platform_id}'}})-[r:HAVE_METRICS]->(g)
        RETURN r.date as date, r.louvainModularityScore as modularityScore
        """
    )
    print(results)
    assert len(results) == 1
    assert results["date"].iloc[0] in [today]
