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Date Last Researched,Research Status,Researcher,Country,Project Name,Capacity (MW),Capacity [ref],Capacity Rating,Capacity Rating [ref],Technology Type,Technology Type [ref],Status,Status [ref],Start year,Start year [ref],Operator IDs,Operator [ref],Latitude,Longitude,Location accuracy,Coordinates [ref],"Local area (taluk, county)","Major area (prefecture, district)",State/Province,GEM location ID,GEM phase ID,Other IDs (unit/phase)
2024-01-19,updated,Diren Kocakusak,United Kingdom,Abbey Fields solar farm,5.3,UKGovOct2023,unknown,,PV,https://www.gov.uk/government/publications/renewable-energy-planning-database-monthly-extract,operating,UKGovOct2023,2016,UKGovOct2023,,,51.3187,0.9029,exact,UKGovOct2023,Kent,South East,England,L100000825018,G100000828297,REPD: 5394
2024-01-19,no changes,Diren Kocakusak,United Kingdom,Abbey solar farm,9,UKGovOct2023,unknown,,PV,https://www.gov.uk/government/publications/renewable-energy-planning-database-monthly-extract,operating,UKGovOct2023,2014,UKGovOct2023,,,52.4193,-0.2366,

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[
  {
    "id": 1,
    "developer": [
      {"name":"deva"}
    ],
    "platforms": [
      {"name":"PC"}
    ],
    "rating": {

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{
  "@generated-datetime": "2014-09-10T07:15:37Z",
  "@version": "2.02",
  "@linked-data-default": "http://data.example.org/",
  "iati-activity": [
    {
      "@{http://www.w3.org/XML/1998/namespace}lang": "en",
      "@default-currency": "USD",
      "@last-updated-datetime": "2014-09-10T07:15:37Z",
      "@humanitarian": true,

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{
  "responseHeader": {
    "status": 0,
    "QTime": 3
  },
  "response": {
    "numFound": 1205,
    "start": 0,
    "numFoundExact": true,
    "docs": [

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{"title": "title from file",
 "properties": {"prop1": {"title": "sub property title in base.json"},
                "prop2": {"$ref": "#/properties/prop1"},
                "prop3": {"$ref": "other.json"},
                "prop4": {"$ref": "other.json#/properties/prop1"},
                "prop5": {"$ref": "other.json#/properties/prop2"}
               }
}

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{"title": "title from url"} 

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import jsonlines
import flatterer
from pathlib import Path
import subprocess

def flatten_iterator(statement_type):
    with jsonlines.open('statements.2021-08-31T08 14 34Z.jsonl') as f:
        for object in f:
            if object["statementType"] == statement_type:
                yield object

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##############################################################################
#
# Simple Python program to benchmark several Python Excel writing modules.
#
# python bench_excel_writers.py [num_rows] [num_cols]
#
# Copyright 2013-2018, John McNamara, Charlie Clark
#
import os
import sys

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import csv
import click
import json
import json_merge_patch


@click.command()
@click.argument("file")
@click.option("-s", "--schema")
def csv_to_schema(file, schema=None):