import csv
import json
import time
import urllib.request
from pathlib import Path

OUT_DIR = Path("data")
OUT_DIR.mkdir(exist_ok=True)

INDICATORS = {
    "NY.GDP.MKTP.CD": "GDP current US$",
    "NY.GDP.MKTP.KD.ZG": "GDP growth annual %",
    "NE.EXP.GNFS.CD": "Exports of goods and services current US$",
    "NE.IMP.GNFS.CD": "Imports of goods and services current US$",
    "FP.CPI.TOTL.ZG": "Inflation consumer prices annual %",
    "SL.UEM.TOTL.ZS": "Unemployment total % of labor force",
    "IC.BUS.EASE.XQ": "Ease of doing business rank",
    "BX.KLT.DINV.CD.WD": "Foreign direct investment net inflows current US$"
}

START_YEAR = 2015
END_YEAR = 2024

def fetch_indicator(indicator_code):
    url = (
        f"https://api.worldbank.org/v2/country/all/indicator/{indicator_code}"
        f"?format=json&per_page=20000&date={START_YEAR}:{END_YEAR}"
    )
    with urllib.request.urlopen(url, timeout=60) as response:
        data = json.loads(response.read().decode("utf-8"))

    if not isinstance(data, list) or len(data) < 2:
        return []

    return data[1] or []

records = []

for code, name in INDICATORS.items():
    print(f"Downloading {code} - {name}")
    rows = fetch_indicator(code)

    for item in rows:
        country = item.get("country") or {}
        value = item.get("value")

        records.append({
            "country": country.get("value"),
            "country_code": item.get("countryiso3code"),
            "indicator_code": code,
            "indicator_name": name,
            "year": int(item["date"]) if item.get("date") else None,
            "value": value,
            "source": "World Bank Open Data",
            "license": "CC BY 4.0"
        })

    time.sleep(0.5)

jsonl_path = OUT_DIR / "worldbank_business_indicators.jsonl"
csv_path = OUT_DIR / "worldbank_business_indicators.csv"

with jsonl_path.open("w", encoding="utf-8") as f:
    for record in records:
        f.write(json.dumps(record, ensure_ascii=False) + "\n")

with csv_path.open("w", encoding="utf-8", newline="") as f:
    writer = csv.DictWriter(f, fieldnames=[
        "country",
        "country_code",
        "indicator_code",
        "indicator_name",
        "year",
        "value",
        "source",
        "license"
    ])
    writer.writeheader()
    writer.writerows(records)

metadata = {
    "name": "Realigns World Bank Business Indicators",
    "description": "Developer-friendly business and economic indicators dataset from World Bank Open Data.",
    "source": "World Bank Open Data API",
    "license": "CC BY 4.0",
    "start_year": START_YEAR,
    "end_year": END_YEAR,
    "indicators": INDICATORS,
    "record_count": len(records)
}

(Path("metadata.json")).write_text(json.dumps(metadata, indent=2), encoding="utf-8")

print(f"Done. Records: {len(records)}")
print(f"Saved: {jsonl_path}")
print(f"Saved: {csv_path}")