129 lines
3.8 KiB
Python
129 lines
3.8 KiB
Python
import csv
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import json
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import re
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import requests
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url = "https://gc.com/t/{season_id}/{team_id}/{page}"
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def get_authenticated_session(request):
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gc_username = request.user.gamechanger_account.user
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gc_password = request.user.gamechanger_account.password
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s = requests.Session()
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s.headers.update({"referer": "https://gc.com/do-login"})
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s.get("https://gc.com/login")
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r2 = s.post(
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"https://gc.com/do-login",
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cookies=s.cookies,
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data={
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"csrfmiddlewaretoken": s.cookies.get("csrftoken"),
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"email": gc_username,
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"password": gc_password,
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},
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)
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if r2.status_code == 200:
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return s
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else:
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raise requests.exceptions.RequestException(
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f"Returned {r2.status_code} for {r2.reason}"
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)
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def submit_lineup(request, lineup):
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authenticated_session = get_authenticated_session(request)
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season_id = request.user.gamechanger_preferences.season_id
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team_id = request.user.gamechanger_preferences.team_id
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authenticated_session.headers.update(
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{
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"referer": url.format(
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season_id=season_id, team_id=team_id, page="lineup_edit"
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),
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"x-csrftoken": authenticated_session.cookies.get("csrftoken"),
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"Content-Type": "application/x-www-form-urlencoded;",
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}
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)
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r = authenticated_session.post(
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cookies=authenticated_session.cookies,
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url="https://gc.com/do-save-lineup/{team_id}".format(
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team_id=team_id.split("-").pop()
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),
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json={"lineup": lineup},
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)
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if r.status_code == 200:
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return r
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else:
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raise requests.exceptions.RequestException(
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f"Returned {r.status_code} for {r.reason}"
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)
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def scrape_page(season_id, team_id, page):
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r = requests.get(url.format(season_id=season_id, team_id=team_id, page=page))
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initialize_page_json = re.search(
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r'page.initialize\(\$.parseJSON\("(.*?)"\)', r.content.decode("unicode_escape")
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)
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m = initialize_page_json.group(1)
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return json.loads(m)
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def stats(request):
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authenticated_session = get_authenticated_session(request)
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season_id = request.user.gamechanger_preferences.season_id
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team_id = request.user.gamechanger_preferences.team_id
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page = "stats/batting/Qualified/standard/csv"
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r = authenticated_session.get(
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url.format(season_id=season_id, team_id=team_id, page=page)
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)
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roster = scrape_page(season_id, team_id, "roster")
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id_lookup = {
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(p.get("fname"), p.get("lname")): p.get("player_id") for p in roster["roster"]
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}
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decoded_content = r.content.decode("utf-8")
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cr = csv.reader(decoded_content.splitlines(), delimiter=",")
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my_list = list(cr)
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player_keys = [
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(i, key)
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for i, key in enumerate(my_list[1][: my_list[0].index("Offensive Stats")])
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]
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offensive_keys = [
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(i, key)
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for i, key in enumerate(
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my_list[1][
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my_list[0]
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.index("Offensive Stats") : my_list[0]
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.index("Defensive Stats")
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- 1
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],
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start=my_list[0].index("Offensive Stats"),
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)
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]
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defensive_keys = [
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(i, key)
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for i, key in enumerate(
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my_list[1][my_list[0].index("Defensive Stats") :],
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start=my_list[0].index("Defensive Stats"),
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)
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]
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stats = {}
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for row in my_list[2:]:
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player_keys
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number, lname, fname = row[:3]
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if number == "Team":
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break
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gamechanger_id = id_lookup[(fname, lname)]
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stats[gamechanger_id] = {
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"offensive": {k: row[i] for i, k in offensive_keys},
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"defensive": {k: row[i] for i, k in defensive_keys},
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}
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return stats
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# d = scrape_page(season_id, team_id, page)
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pass
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