Add option to update dataset silently

app.py

@@ -1,5 +1,6 @@
 #!/usr/bin/env python3
 
+from contextlib import nullcontext
 import csv
 from datetime import date, datetime, time, timedelta
 import os
@@ -59,11 +60,11 @@ class RouteQueue(db.Model):
 
 
 @cli.command("update-dataset")
-def update_dataset():
+@click.option('--verbose', '-v', is_flag=True, help="Display errors.")
+def update_dataset(verbose: bool = False):
     """
     Query the latest version of the SNCF OpenData dataset, as a CSV file.
     """
-    try:
     resp = requests.get('https://ressources.data.sncf.com/explore/dataset/tgvmax/information/')
     content = resp.content.decode().split('<script type="application/ld+json">')[1].split('</script>')[0].strip()
     content = content.replace('\r', '')
@@ -80,32 +81,36 @@ def update_dataset():
         'tgvmax.csv') else datetime(1, 1, 1, tzinfo=utc)
 
     if last_modified < modified_date:
+        if verbose:
             print("Updating tgvmax.csv…")
         with requests.get(info['distribution'][0]['contentUrl'], stream=True) as resp:
             resp.raise_for_status()
             with open('tgvmax.csv', 'wb') as f:
-                    with tqdm(unit='io', unit_scale=True) as t:
+                with tqdm(unit='io', unit_scale=True) if verbose else nullcontext() as t:
                     for chunk in resp.iter_content(chunk_size=512 * 1024):
                         if chunk:
                             f.write(chunk)
+                            if verbose:
                                 t.update(len(chunk))
         os.utime('tgvmax.csv', (modified_date.timestamp(), modified_date.timestamp()))
+        if verbose:
             print("Done")
-
+    else:
+        if verbose:
             print("Last modification:", modified_date)
-    except Exception as e:
-        print("An error occured while updating tgvmax.csv")
-        print(e)
+        exit(2)
 
 
 @cli.command("parse-csv")
 @click.option('-F', '--flush', type=bool, is_flag=True, help="Flush the database before filling it.")
-def parse_trains(flush: bool = False):
+@click.option('--verbose', '-v', is_flag=True, help="Display errors.")
+def parse_trains(flush: bool = False, verbose: bool = False):
     """
     Parse the CSV file and store it to the database.
     """
 
     if flush:
+        if verbose:
             print("Flush database…")
         db.session.query(Train).delete()
 
@@ -114,7 +119,7 @@ def parse_trains(flush: bool = False):
     with open('tgvmax.csv') as f:
         first_line = True
         already_seen = set()
-        for line in tqdm(csv.reader(f, delimiter=';')):
+        for line in (tqdm if verbose else lambda x: x)(csv.reader(f, delimiter=';')):
             if first_line:
                 first_line = False
                 continue