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# to you under the Apache License, Version 2.0 (the
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"""Loads datasets, dashboards and slices in a new superset instance"""
import json
import os
import zlib
from io import BytesIO
from typing import Any, Dict, List, Set
from urllib import request

from superset import app, db
from superset.connectors.connector_registry import ConnectorRegistry
from superset.models import core as models
from superset.models.slice import Slice

BASE_URL = "https://github.com/apache-superset/examples-data/blob/master/"

# Shortcuts
DB = models.Database

TBL = ConnectorRegistry.sources["table"]

config = app.config

EXAMPLES_FOLDER = os.path.join(config["BASE_DIR"], "examples")

misc_dash_slices: Set[str] = set()  # slices assembled in a 'Misc Chart' dashboard


def update_slice_ids(layout_dict: Dict[Any, Any], slices: List[Slice]) -> None:
    charts = [
        component
        for component in layout_dict.values()
        if isinstance(component, dict) and component["type"] == "CHART"
    ]
    sorted_charts = sorted(charts, key=lambda k: k["meta"]["chartId"])
    for i, chart_component in enumerate(sorted_charts):
        if i < len(slices):
            chart_component["meta"]["chartId"] = int(slices[i].id)


def merge_slice(slc: Slice) -> None:
    o = db.session.query(Slice).filter_by(slice_name=slc.slice_name).first()
    if o:
        db.session.delete(o)
    db.session.add(slc)
    db.session.commit()


def get_slice_json(defaults: Dict[Any, Any], **kwargs: Any) -> str:
    defaults_copy = defaults.copy()
    defaults_copy.update(kwargs)
    return json.dumps(defaults_copy, indent=4, sort_keys=True)


def get_example_data(
    filepath: str, is_gzip: bool = True, make_bytes: bool = False
) -> BytesIO:
    content = request.urlopen(f"{BASE_URL}{filepath}?raw=true").read()
    if is_gzip:
        content = zlib.decompress(content, zlib.MAX_WBITS | 16)
    if make_bytes:
        content = BytesIO(content)
    return content