gutzbenj

"""
Below you find a pydantic model that closely represents Googles product data model for their Vertex AI Search for Retail.
Their model is closely described 
- in their restapi overview: https://cloud.google.com/retail/docs/reference/rest/v2/projects.locations.catalogs.branches.products
- as proto message in code: https://github.com/googleapis/google-cloud-python/blob/main/packages/google-cloud-retail/google/cloud/retail_v2/types/product.py
The model so far only supports product types "variant" and "primary" - which is a group of variants e.g. one productId with many skuIds.
Collections are currently not supported!

After validation product data has to be dumped `by_alias`:

gutzbenj

# -*- coding: utf-8 -*-
# Copyright (c) 2018-2022, earthobservations developers.
# Distributed under the MIT License. See LICENSE for more info.
import logging

import numpy as np
import pandas as pd
import utm
from scipy import interpolate

gutzbenj

        elif target.startswith("influxdb://"):
            """
            ======================
            InfluxDB database sink
            ======================

            Install Python driver::

                pip install influxdb

gutzbenj

"""
Investigate problems when scanning huge directory
tree of DWD CDC HTTP server.

This repro will show the actual files as found in the url
    python list-remote-files-dwd.py | grep -v zip
"""
import os
import requests
from typing import List