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extract2.py
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extract2.py
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import itertools
import re
from helpers import deutsch_2_float
from patch3 import patched
def extract_stations(db):
"Merge the three data sources for station data into one big python list"
stations = []
# stations with entries in both xxx_stationsdaten and haltestellen
for row in db.execute(
"""SELECT haltestellen.Betreiber_Nr as bfnr, stationsdaten.name, stationsdaten.regionalbereich,
stationsdaten.kategorie, stationsdaten.strasse, stationsdaten.plz, stationsdaten.ort, stationsdaten.bundesland,
stationsdaten.aufgabentraeger, group_concat(haltestellen.DS100, "|") as ds100s,
group_concat(haltestellen.NAME, "|") as names, group_concat(haltestellen.EVA_NR, "|") as ibnrs,
group_concat(haltestellen.IFOPT, "|") as ifopts, group_concat(haltestellen.Verkehr, "|") as verkehrs,
group_concat(haltestellen.LAENGE, "|") as lons, group_concat(haltestellen.BREITE, "|") as lats,
group_concat(haltestellen.Betreiber_Name, "|") as betreiber_names
FROM haltestellen
JOIN stationsdaten ON stationsdaten.bahnhofsnummer = bfnr
WHERE Betreiber_Nr != "" AND Betreiber_Nr != 0
GROUP BY Betreiber_Nr;"""
):
ds100s, names, ibnrs, ifopts, verkehrs, lons, lats, betreiber_names = (
row["ds100s"].split("|"),
row["names"].split("|"),
row["ibnrs"].split("|"),
row["ifopts"].split("|"),
row["verkehrs"].split("|"),
row["lons"].split("|"),
row["lats"].split("|"),
row["betreiber_names"].split("|"),
)
stations.append(
{
"bfnr": int(row["bfnr"]),
"name": row["name"],
"regionalbereich": row["regionalbereich"],
"kategorie": row["kategorie"],
"strasse": row["strasse"],
"plz": row["plz"],
"ort": row["ort"],
"bundesland": row["bundesland"],
"aufgabentraeger": row["aufgabentraeger"],
"subs": [
{
"ds100": ds100s[i].strip(),
"name": names[i].strip(),
"ibnr": int(ibnrs[i]),
"ifopt": ifopts[i].strip(),
"verkehr": verkehrs[i].strip(),
"lat": deutsch_2_float(lats[i]),
"lon": deutsch_2_float(lons[i]),
"betreiber_name": betreiber_names[i].strip(),
}
for i in range(len(names))
],
}
)
# stations with an entry in haltestellen but not xxx_stationsdaten (usually third-party stops)
for row in db.execute(
"""SELECT DS100, EVA_NR, NAME, IFOPT, Verkehr, Laenge, Breite, Betreiber_Name
FROM haltestellen
WHERE Betreiber_Nr = "" OR Betreiber_Nr = 0;"""
):
name = row["NAME"].strip()
stations.append(
{
"bfnr": None,
"name": name,
"regionalbereich": None,
"kategorie": None,
"strasse": None,
"plz": None,
"ort": None,
"bundesland": None,
"aufgabentraeger": None,
"subs": [
{
"ds100": row["DS100"].strip(),
"name": name,
"ibnr": int(row["EVA_NR"]),
"ifopt": row["IFOPT"],
"verkehr": row["Verkehr"],
"lat": deutsch_2_float(row["Breite"]),
"lon": deutsch_2_float(row["Laenge"]),
"betreiber_name": row["Betreiber_Name"],
}
],
}
)
# stations with an entry in xxx_stationsdaten but not haltestellen (db what are you doing)
for row in db.execute(
"""SELECT * FROM stationsdaten
JOIN bfnr_nichtinstationsdaten ON bfnr_nichtinstationsdaten.bahnhofsnummer = stationsdaten.bahnhofsnummer
ORDER BY name;"""
):
name = row["name"].strip()
stations.append(
{
"name": name,
"bfnr": int(row["bahnhofsnummer"]),
"regionalbereich": row["regionalbereich"],
"kategorie": row["kategorie"],
"strasse": row["strasse"],
"plz": row["plz"],
"ort": row["ort"],
"bundesland": row["bundesland"],
"aufgabentraeger": row["aufgabentraeger"],
"subs": [
{
"ds100": row["ds100"].strip(),
"name": name,
"ibnr": None,
"ifopt": None,
"verkehr": None,
"lat": None,
"lon": None,
"betreiber_name": None,
}
],
}
)
# we now have a list, but it has a few duplicates because some stations are listed both in xxx_stationsdaten
# and haltestellen but don't have a dataset station number (Betreiber_Nr/bahnhofsnummer). in the first query
# we excluded those even if we could match them up otherwise to avoid even worse duplication issues, now we
# can reunite those datasets!
# first, we'll reunite based on the stations having the same name (casefolded and only letters counted)
cleaned_stations_1 = []
sort_by_name = lambda station: re.sub("[^a-z]", "", station["name"].casefold())
for _, items in itertools.groupby(
sorted(stations, key=sort_by_name), key=sort_by_name
):
items = list(items)
if len(items) == 1:
cleaned_stations_1.append(items[0])
elif len(items) == 2:
cleaned_stations_1.append(
{k: v or items[1][k] for k, v in items[0].items()}
)
if not cleaned_stations_1[-1]["subs"][0]["ibnr"]:
cleaned_stations_1[-1]["subs"] = items[1]["subs"]
else:
raise Exception(
"wow they managed to have a three-way broken dataset, implement this"
)
# and finally, we'll reunite the last remaining (i hope, at least) duplicates by matching the DS100 abbreviations
cleaned_stations_2 = []
sort_by_ds100 = lambda station: station["subs"][0]["ds100"]
for _, items in itertools.groupby(
sorted(cleaned_stations_1, key=sort_by_ds100), key=sort_by_ds100
):
items = list(items)
if len(items) == 1:
cleaned_stations_2.append(items[0])
elif len(items) == 2:
cleaned_stations_2.append(
{k: v or items[1][k] for k, v in items[0].items()}
)
if not cleaned_stations_2[-1]["subs"][0]["ibnr"]:
cleaned_stations_2[-1]["subs"] = items[1]["subs"]
else:
raise Exception(
"wow they managed to have a three-way broken dataset, implement this"
)
for station in cleaned_stations_2:
station["platforms"] = [
dict(row)
for row in db.execute(
"SELECT * FROM bahnsteigdaten WHERE bahnhofsnummer = ? ORDER BY bahnsteig, gleis",
(station["bfnr"],),
).fetchall()
]
station = patched(station)
return cleaned_stations_2