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services.py
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services.py
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from typing import Tuple, Set, Dict
import sqlite3
from models import User, Relation
from utils import interp_value, recalculate_relations
from config import SQLITE_DB_PATH
conn = sqlite3.connect(str(SQLITE_DB_PATH))
cur = conn.cursor()
def get_karma_bounds() -> Tuple[float, float]:
return cur.execute("""
SELECT min(karma), max(karma)
FROM user_karma
JOIN users ON user_id = users.id
WHERE chat_id = -1001399056118 AND users.username notnull
""").fetchone()
def get_exchange_bounds(relations: Set[Relation]) -> Tuple[float, float]:
key = lambda x: x.exchange
return min(relations, key=key).exchange, max(relations, key=key).exchange
def get_users() -> Set[User]:
cur.execute("""SELECT uk.user_id, u.username, u.first_name, u.last_name, uk.karma
FROM user_karma AS uk
JOIN users AS u ON uk.user_id = u.id
WHERE uk.chat_id = -1001399056118
AND u.username notnull""")
users = set()
for row in cur.fetchall():
*data, karma = row
user = User(*data, interp_value(karma, get_karma_bounds(), (10, 100)))
users.add(user)
print(f"Total users: {len(users)}")
return users
def get_users_relations(users: Set[User]) -> Set[Relation]:
relations_dict = dict()
for user in users:
user_relations = get_user_relations(user)
if not user_relations:
continue
relations_dict[user.id] = user_relations
return recalculate_relations(relations_dict)
def get_user_relations(user: User) -> Dict[int, Relation]:
cur.execute("""SELECT sum(ke.how_match_change), u.id, u.username, u.first_name, u.last_name, uk.karma
FROM karma_events AS ke
JOIN users AS u ON ke.user_to_id = u.id
JOIN user_karma AS uk ON ke.user_to_id = uk.user_id
WHERE ke.chat_id = -1001399056118
AND uk.chat_id = -1001399056118
AND ke.user_from_id = ?
AND u.username notnull
GROUP BY uk.user_id""", [user.id])
user_relations = dict()
for row in cur.fetchall():
total_change, *to_user_data = row
to_user = User(*to_user_data)
rel = Relation(user, to_user, total_change)
user_relations[to_user.id] = rel
return user_relations