Improve figuring out if new campaigns are claimed or not
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@@ -2,7 +2,7 @@ from __future__ import annotations
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from functools import cached_property
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from datetime import datetime, timezone
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from typing import Optional, List, Dict, Set, Iterable, TYPE_CHECKING
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from typing import Optional, List, Dict, Iterable, TYPE_CHECKING
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from channel import Channel
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from constants import JsonType, GQL_OPERATIONS
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@@ -13,7 +13,9 @@ if TYPE_CHECKING:
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class BaseDrop:
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def __init__(self, campaign: DropsCampaign, data: JsonType, claimed_benefits: Set[str]):
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def __init__(
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self, campaign: DropsCampaign, data: JsonType, claimed_benefits: Dict[str, datetime]
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):
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self._twitch: Twitch = campaign._twitch
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self.id: str = data["id"]
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self.name: str = data["name"]
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@@ -26,10 +28,22 @@ class BaseDrop:
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if "self" in data:
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self.claim_id = data["self"]["dropInstanceID"]
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self.is_claimed = data["self"]["isClaimed"]
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elif all(b["benefit"]["id"] in claimed_benefits for b in data["benefitEdges"]):
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# NOTE: this may erroneously mark drops from an unprogressed campaign as claimed
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# if the benefits repeat, but shouldn't cause a problem
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# once the campaign is in-progress
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elif (
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# If there's no self edge available, we can use claimed_benefits to determine
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# (with pretty good certainty) if this drop has been claimed or not.
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# To do this, we check if the benefitEdges appear in claimed_benefits, and then
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# deref their "lastAwardedAt" timestamps into a list to check against.
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# If the benefits were claimed while the drop was active,
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# the drop has been claimed too.
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(
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dts := [
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claimed_benefits[bid]
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for b in data["benefitEdges"]
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if (bid := b["benefit"]["id"]) in claimed_benefits
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]
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)
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and all(self.starts_at <= dt < self.ends_at for dt in dts)
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):
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self.is_claimed = True
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self._precondition_drops: List[str] = [d["id"] for d in (data["preconditionDrops"] or [])]
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@@ -109,7 +123,9 @@ class BaseDrop:
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class TimedDrop(BaseDrop):
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def __init__(self, campaign: DropsCampaign, data: JsonType, claimed_benefits: Set[str]):
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def __init__(
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self, campaign: DropsCampaign, data: JsonType, claimed_benefits: Dict[str, datetime]
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):
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super().__init__(campaign, data, claimed_benefits)
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self.current_minutes: int = 0
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if "self" in data:
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@@ -164,7 +180,7 @@ class TimedDrop(BaseDrop):
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class DropsCampaign:
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def __init__(self, twitch: Twitch, data: JsonType, claimed_benefits: Set[str]):
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def __init__(self, twitch: Twitch, data: JsonType, claimed_benefits: Dict[str, datetime]):
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self._twitch: Twitch = twitch
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self.id: str = data["id"]
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self.name: str = data["name"]
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