Parse CSV to database
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90
app.py
90
app.py
@ -7,10 +7,12 @@ import json
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from pytz import timezone
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import requests
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import click
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from flask import Flask
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from flask.cli import AppGroup
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from flask_migrate import Migrate
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from flask_sqlalchemy import SQLAlchemy
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from sqlalchemy import Boolean, Column, Date, Integer, String, Time
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from sqlalchemy import Boolean, Column, Date, DateTime, Integer, String, Time
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from tqdm import tqdm
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import config
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@ -18,6 +20,10 @@ import config
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app = Flask(__name__)
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cli = AppGroup('tgvmax', help="Manage the TGVMax dataset.")
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app.cli.add_command(cli)
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app.config |= config.FLASK_CONFIG
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db = SQLAlchemy(app)
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@ -29,19 +35,25 @@ class Train(db.Model):
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id = Column(String, primary_key=True)
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day = Column(Date, index=True)
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number = Column(Integer, index=True)
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entity = Column(String(255))
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axe = Column(String(255), index=True)
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entity = Column(String(10))
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axe = Column(String(32), index=True)
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orig_iata = Column(String(5), index=True)
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dest_iata = Column(String(5), index=True)
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orig = Column(String(255))
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dest = Column(String(255))
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dep = Column(String(255))
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orig = Column(String(32))
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dest = Column(String(32))
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dep = Column(Time)
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arr = Column(Time)
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tgvmax = Column(Boolean, index=True)
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remaining_seats = Column(Integer)
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remaining_seats = Column(Integer, default=-1)
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last_modification = Column(DateTime)
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expiration_time = Column(DateTime)
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@cli.command("update-dataset")
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def update_dataset():
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"""
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Query the latest version of the SNCF OpenData dataset, as a CSV file.
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"""
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try:
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resp = requests.get('https://ressources.data.sncf.com/explore/dataset/tgvmax/information/')
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content = resp.content.decode().split('<script type="application/ld+json">')[1].split('</script>')[0].strip()
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@ -76,37 +88,61 @@ def update_dataset():
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print(e)
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def parse_trains(*, filter_day: date | None = None,
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filter_number: int | None = None,
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filter_tgvmax: bool | None = None):
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trains = []
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@cli.command("parse-csv")
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@click.option('-F', '--flush', type=bool, is_flag=True, help="Flush the database before filling it.")
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def parse_trains(flush: bool = False):
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"""
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Parse the CSV file and store it to the database.
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"""
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if flush:
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print("Flush database…")
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db.session.query(Train).delete()
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last_modification = datetime.utcfromtimestamp(os.path.getmtime('tgvmax.csv')).replace(tzinfo=timezone('UTC'))
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with open('tgvmax.csv') as f:
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first_line = True
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for line in csv.reader(f, delimiter=';'):
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already_seen = set()
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for line in tqdm(csv.reader(f, delimiter=';')):
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if first_line:
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first_line = False
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continue
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train = Train(*line)
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train.day = date.fromisoformat(train.day)
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train.number = int(train.number)
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train.dep = time.fromisoformat(train.dep)
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train.arr = time.fromisoformat(train.arr)
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train.tgvmax = train.tgvmax == 'OUI'
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if filter_day is not None and train.day != filter_day:
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train_id = f"{line[1]}-{line[0]}-{line[4]}-{line[5]}"
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if train_id in already_seen:
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# Some trains are mysteriously duplicated, concerns only some « Intercités de nuit »
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# and the Brive-la-Gaillarde -- Paris
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# and, maybe, for Roubaix-Tourcoing
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if line[3] != "IC NUIT" and line[1] != '3614' and not (line[4] == 'FRADP' and line[5] == 'FRADM'):
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print("Duplicate:", train_id)
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continue
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if filter_number is not None and train.number != filter_number:
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continue
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train = Train(
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id=train_id,
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day=date.fromisoformat(line[0]),
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number=int(line[1]),
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entity=line[2],
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axe=line[3],
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orig_iata=line[4],
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dest_iata=line[5],
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orig=line[6],
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dest=line[7],
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dep=time.fromisoformat(line[8]),
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arr=time.fromisoformat(line[9]),
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tgvmax=line[10] == 'OUI',
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last_modification=last_modification,
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expiration_time=last_modification,
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)
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if flush:
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db.session.add(train)
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else:
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db.session.merge(train)
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if filter_tgvmax is not None and train.tgvmax != filter_tgvmax:
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continue
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if line[3] == "IC NUIT" or line[1] == '3614' or (line[4] == 'FRADP' and line[5] == 'FRADM'):
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already_seen.add(train_id)
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trains.append(train)
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return trains
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db.session.commit()
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def find_routes(day, orig, dest):
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