pydantic & csv writing

scrape.py

@@ -1,31 +1,64 @@
 import asyncio
+import csv
+import json
 import locale
 import pickle
 from datetime import datetime
-from typing import Tuple
+from typing import List, Optional, Tuple
 
 from bs4 import BeautifulSoup
 from httpx import AsyncClient
+from pydantic import BaseModel
 
 MAIN_URL = "https://www.spiekeroog-vermieter.de/suche/monatskalenderSite.htm?wohnids="
 DATA_URL = "https://www.spiekeroog-vermieter.de/suche/monatskalender.htm?wohnids="
-FROM = 100
+FROM = 110
 TO = 120
 STATUS_MAPPING = {"DayF": 0, "DayB": 1, "DayFB": 2, "DayBF": 2}
 
-def convert_to_datestring(day: str, month: str, year: str) -> str:
+
+class Availability(BaseModel):
+    date: datetime
+    status: int
+
+
+class Entry(BaseModel):
+    index: int
+    haus: str
+    wohneinheit: str
+    availabilities: List[Availability]
+
+
+class Result(BaseModel):
+    entries: List[Entry]
+
+
+def generate_csv(result: Result) -> None:
+    with open("result.csv", "w") as csvfile:
+        fieldnames = list(Entry.schema()["properties"].keys())
+        fieldnames.remove("availabilities")
+        fieldnames.extend([a.date.strftime("%Y-%m-%d") for a in result.entries[0].availabilities])
+        csvwriter = csv.DictWriter(csvfile, fieldnames=fieldnames)
+        csvwriter.writeheader()
+        for entry in result.entries:
+            row_content = {"index": entry.index, "haus": entry.haus, "wohneinheit": entry.wohneinheit}
+            for avail in entry.availabilities:
+                row_content[avail.date.strftime("%Y-%m-%d")] = avail.status
+            csvwriter.writerow(row_content)
+
+
+def convert_to_datestring(day: str, month: str, year: str) -> datetime:
     locale.setlocale(locale.LC_TIME, "de_DE")
     date = datetime.strptime(f"{day.zfill(2)} {month} {year}", "%d %B %Y")
-    return date.strftime('%Y-%m-%d')
+    return date
 
 
-async def request_data(index: int, client: AsyncClient) -> Tuple:
+async def request_data(index: int, client: AsyncClient) -> Optional[Entry]:
     response_data = await client.get(DATA_URL + str(index), timeout=20.0)
     if "Fehler aufgetreten" not in response_data.text:
         response_title = await client.get(MAIN_URL + str(index), timeout=20.0)
         title_soup = BeautifulSoup(response_title.text, "lxml")
-        apartment = title_soup.body.header.h1.get_text()
+        apartment = (
-        unit = (
             title_soup.body.header.h2.get_text()
             .replace("\xa0", " ")
             .replace("Wohneinheit: ", "")
@@ -33,31 +66,44 @@ async def request_data(index: int, client: AsyncClient) -> Tuple:
 
         data_soup = BeautifulSoup(response_data.text, "lxml")
         valid_element = data_soup.find_all("td", attrs={"data-daynum": True})
-        days = []
+        availabilities = []
         for elm in valid_element:
-            day = elm.get_text(strip=True)
             date_raw = elm.parent.parent.parent.thead.tr.td.get_text(strip=True)
-            month = date_raw.split(" ")[0]
-            year = date_raw.split(" ")[1]
             status = STATUS_MAPPING[elm["class"][0]]
-            date = convert_to_datestring(day, month, year)
+            date = convert_to_datestring(
-            days.append({date: status})
+                elm.get_text(strip=True), date_raw.split(" ")[0], date_raw.split(" ")[1]
-        return index, apartment, unit, days
+            )
+            availabilities.append(Availability(date=date, status=status))
+        return Entry(
+            index=index,
+            haus=title_soup.body.header.h1.get_text(),
+            wohneinheit=apartment,
+            availabilities=availabilities,
+        )
     else:
-        return 0, ""
+        return None
 
 
 async def extract_results() -> None:
     client = AsyncClient()
-    results = await asyncio.gather(*[request_data(i, client) for i in range(FROM, TO)])
+    result = Result(
+        entries=await asyncio.gather(
+            *[request_data(i, client) for i in range(FROM, TO)]
+        )
+    )
     # Filter the invalid units
-    valid = list(filter(lambda item: item[0] != 0, results))
+    # valid = list(filter(lambda item: item[0] != 0, results))
     # print(f"results: {valid}")
+
     await client.aclose()
-    with open("valid_ids", "wb") as file:
+    print(result.json())
-        pickle.dump(valid, file)
+    with open("results.json", "w") as file:
+        file.write(result.json())
 
 
 if __name__ == "__main__":
-    # print(pickle.load(open("valid_ids", "rb")))
+    with open("results.json", "r") as file:
-    asyncio.run(extract_results())
+        result = Result(**json.load(file))
+    print(result.json())
+    generate_csv(result)
+    # asyncio.run(extract_results())