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import csv
import tempfile
import zipfile
from pathlib import Path
from typing import Iterator
import duckdb
import requests
import tqdm
DUCKDB_SQL = (
"""COPY (SELECT * FROM read_csv('%s', delim=';', AUTO_DETECT=TRUE)) TO '%s';"""
)
def csv_iter(url: str, strip_header: bool = False) -> Iterator[list[str]]:
"""Download France AgriMer RNM CSV file from URL to
output_file."""
r = requests.get(url, stream=True)
with tempfile.TemporaryDirectory() as tmp_dir:
tmp_zip_path = Path(tmp_dir) / "tmp.zip"
# Copy the request content (a ZIP file) to a temporary file
with tmp_zip_path.open("wb") as f:
for chunk in r.iter_content(chunk_size=1024):
if chunk:
f.write(chunk)
# Extract the name of the file we're interested in, there should be
# only one file in the ZIP archive
zip_file = zipfile.ZipFile(tmp_zip_path)
zip_file_info = zip_file.infolist()
if len(zip_file_info) != 1:
raise ValueError("Expecting one file in zip")
filename = zip_file_info[0].filename
tmp_path = Path(tmp_dir) / filename
# Extract the file to a temporary location
with zip_file.open(filename, "r") as f_in:
with tmp_path.open("wb") as f_out:
while True:
chunk = f_in.read(1024)
if chunk == b"":
break
f_out.write(chunk)
# The text is in ISO-8859-1 encoding
# We strip spaces before/after all columns
with open(tmp_path, "rt", encoding="ISO-8859-1", newline="") as f_in:
csv_reader = csv.reader(f_in, delimiter=";")
for i, row in enumerate(csv_reader):
if strip_header and i == 0:
continue
yield [col.strip() for col in row]
def generate_csv(output_path: Path, start_year: int, end_year: int) -> None:
with open(output_path, "wt") as f_out:
csv_writer = csv.writer(f_out, delimiter=";")
for i in tqdm.tqdm(range(start_year, end_year + 1), desc="years"):
url_template = f"https://visionet.franceagrimer.fr/Pages/OpenDocument.aspx?fileurl=Statistiques%2fmulti-filieres%2fcotations%20des%20produits%20frais%2fCOT-MUL-prd_RNM-A{i:02d}.zip&telechargersanscomptage=oui"
for item in tqdm.tqdm(
csv_iter(url_template, strip_header=(i != start_year)), desc="rows"
):
csv_writer.writerow(item)
def export_parquet(input_path: Path, output_path: Path) -> None:
conn = duckdb.connect(":memory:")
conn.execute(DUCKDB_SQL % (input_path, output_path))
OUTPUT_CSV_PATH = Path("COT-MUL-prd_RNM.csv")
OUTPUT_PARQUET_PATH = Path("COT-MUL-prd_RNM.parquet")
generate_csv(OUTPUT_CSV_PATH, start_year=0, end_year=24)
export_parquet(OUTPUT_CSV_PATH, OUTPUT_PARQUET_PATH)
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