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# to you under the Apache License, Version 2.0 (the
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#
#   http://www.apache.org/licenses/LICENSE-2.0
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import json

import pandas as pd
from sqlalchemy import BigInteger, Float, inspect, Text

import superset.utils.database as database_utils
from superset import db

from .helpers import get_example_data, get_table_connector_registry


def load_sf_population_polygons(
    only_metadata: bool = False, force: bool = False
) -> None:
    tbl_name = "sf_population_polygons"
    database = database_utils.get_example_database()
    engine = database.get_sqla_engine()
    schema = inspect(engine).default_schema_name
    table_exists = database.has_table_by_name(tbl_name)

    if not only_metadata and (not table_exists or force):
        data = get_example_data("sf_population.json.gz")
        df = pd.read_json(data)
        df["contour"] = df.contour.map(json.dumps)

        df.to_sql(
            tbl_name,
            engine,
            schema=schema,
            if_exists="replace",
            chunksize=500,
            dtype={
                "zipcode": BigInteger,
                "population": BigInteger,
                "contour": Text,
                "area": Float,
            },
            index=False,
        )

    print("Creating table {} reference".format(tbl_name))
    table = get_table_connector_registry()
    tbl = db.session.query(table).filter_by(table_name=tbl_name).first()
    if not tbl:
        tbl = table(table_name=tbl_name, schema=schema)
    tbl.description = "Population density of San Francisco"
    tbl.database = database
    tbl.filter_select_enabled = True
    db.session.merge(tbl)
    db.session.commit()
    tbl.fetch_metadata()