presence scanner working yay
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@@ -10,32 +10,61 @@ class Presence:
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self.most_used_reaction = ""
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self.most_used_reaction_count = 0
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self.used_reaction_total = 1
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self.used_reaction_all_total = 1
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self.channel_usage = defaultdict(int)
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self.channel_total = defaultdict(int)
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self.mentions = defaultdict(int)
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self.mention_others = defaultdict(int)
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self.msg_count = 0
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self.total_msg = 0
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self.mention_count = 0
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def to_string(self, *, show_top_channel: bool, show_mentioned: bool) -> List[str]:
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def to_string(self, *, show_top_channel: bool, member_specific: bool) -> List[str]:
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ret = []
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if member_specific:
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ret += [
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f"- **messages**: {self.msg_count} ({100*self.msg_count/self.total_msg:.0f}% of server's)"
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]
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if show_top_channel:
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top_channel = sorted(self.channel_usage)[-1]
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channel_sum = sum(self.channel_usage.values())
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found_in = sorted(
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self.channel_usage,
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key=lambda k: self.channel_usage[k] / self.channel_total[k],
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)[-1]
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ret += [
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f"- **most visited channel**: {channel_mention(top_channel)} ({self.channel_usage[top_channel]:,} msg, {100*self.channel_usage[top_channel]//channel_sum:.0f}%)"
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f"- **most visited channel**: {channel_mention(top_channel)} ({self.channel_usage[top_channel]:,} msg, {100*self.channel_usage[top_channel]//channel_sum:.0f}%)",
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f"- **mostly found in**: {channel_mention(found_in)} ({self.channel_usage[found_in]:,} msg, {100*self.channel_usage[found_in]//self.channel_total[found_in]:.0f}% of channel's)",
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]
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if show_mentioned:
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if member_specific:
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if len(self.mentions) > 0:
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top_mention = sorted(self.mentions)[-1]
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mention_sum = sum(self.mentions.values())
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ret += [
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f"- **mentioned**: {plural(mention_sum, 'time')}",
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f"- **was mentioned**: {plural(mention_sum, 'time')} ({100*mention_sum/self.mention_count:.0f}% of server's)",
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f"- **mostly mentioned by**: {mention(top_mention)} ({plural(self.mentions[top_mention], 'time')}, {100*self.mentions[top_mention]//mention_sum:.0f}%)",
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]
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else:
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ret += [f"- **mentioned**: 0 times"]
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ret += ["- **was mentioned**: 0 times"]
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if len(self.mention_others) > 0:
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top_mention = sorted(self.mention_others)[-1]
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mention_sum = sum(self.mention_others.values())
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ret += [
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f"- **mentioned others**: {plural(mention_sum, 'time')} ({100*mention_sum/self.mention_count:.0f}% of server's)",
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f"- **mostly mentioned**: {mention(top_mention)} ({plural(self.mention_others[top_mention], 'time')}, {100*self.mention_others[top_mention]//mention_sum:.0f}%)",
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]
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else:
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ret += ["- **was mentioned**: 0 times"]
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if self.used_reaction_total > 0:
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# ({self.used_reaction_total/self.used_reaction_all_total})
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ret += [
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f"- **reactions**: {plural(self.used_reaction_total, 'time')}",
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f"- **most used reaction**: {self.most_used_reaction} ({plural(self.most_used_reaction_count, 'time')}, {100*self.most_used_reaction_count/self.used_reaction_total:.0f}%)",
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]
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if member_specific:
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ret[
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-2
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] += f" ({100*self.used_reaction_total/self.used_reaction_all_total:.0f}% of server's)"
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else:
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ret += [f"- **reactions**: 0 times"]
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ret += ["- **reactions**: 0 times"]
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return ret
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@@ -35,9 +35,13 @@ class FullScanner(Scanner):
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self.freq = Frequency()
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self.comp = Composition()
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self.pres = Presence()
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# Create emotes dict from custom emojis of the guild
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self.member_specific = len(self.members) > 0
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# Create emotes dict from custom emojis of the guild
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self.emotes = get_emote_dict(message.channel.guild)
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if self.member_specific:
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self.emotes_all = get_emote_dict(message.channel.guild)
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else:
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self.emotes_all = {}
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return True
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def compute_message(self, channel: ChannelLogs, message: MessageLog):
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@@ -47,6 +51,8 @@ class FullScanner(Scanner):
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EmotesScanner.analyse_message(
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message, self.emotes, self.raw_members, all_emojis=True
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)
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if self.member_specific:
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EmotesScanner.analyse_message(message, self.emotes_all, [], all_emojis=True)
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return not message.bot and (
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len(self.raw_members) == 0 or message.author in self.raw_members
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)
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@@ -54,7 +60,7 @@ class FullScanner(Scanner):
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def get_results(self, intro: str) -> List[str]:
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FrequencyScanner.compute_results(self.freq)
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CompositionScanner.compute_results(self.comp, self.emotes)
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PresenceScanner.compute_results(self.pres, self.emotes)
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PresenceScanner.compute_results(self.pres, self.emotes, self.emotes_all)
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res = [intro]
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res += ["__Frequency__:"]
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res += self.freq.to_string()
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@@ -63,6 +69,6 @@ class FullScanner(Scanner):
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res += ["__Presence__:"]
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res += self.pres.to_string(
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show_top_channel=len(self.channels) > 1,
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show_mentioned=(len(self.members) > 0),
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member_specific=self.member_specific,
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)
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return res
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@@ -31,24 +31,31 @@ class PresenceScanner(Scanner):
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async def init(self, message: discord.Message, *args: str) -> bool:
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self.pres = Presence()
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self.member_specific = len(self.members) > 0
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# Create emotes dict from custom emojis of the guild
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self.emotes = get_emote_dict(message.channel.guild)
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if self.member_specific:
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self.emotes_all = get_emote_dict(message.channel.guild)
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else:
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self.emotes_all = {}
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return True
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def compute_message(self, channel: ChannelLogs, message: MessageLog):
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EmotesScanner.analyse_message(
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message, self.emotes, self.raw_members, all_emojis=True
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)
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if self.member_specific:
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EmotesScanner.analyse_message(message, self.emotes_all, [], all_emojis=True)
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return PresenceScanner.analyse_message(
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channel, message, self.pres, self.raw_members
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)
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def get_results(self, intro: str) -> List[str]:
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PresenceScanner.compute_results(self.pres, self.emotes)
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PresenceScanner.compute_results(self.pres, self.emotes, self.emotes_all)
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res = [intro]
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res += self.pres.to_string(
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show_top_channel=(len(self.channels) > 1),
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show_mentioned=(len(self.members) > 0),
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member_specific=self.member_specific,
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)
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return res
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@@ -64,15 +71,27 @@ class PresenceScanner(Scanner):
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if not message.bot and (len(raw_members) == 0 or message.author in raw_members):
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impacted = True
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pres.channel_usage[channel.id] += 1
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pres.msg_count += 1
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for mention in message.mentions:
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pres.mention_others[mention] += 1
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pres.channel_total[channel.id] += 1
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for mention in message.mentions:
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if mention in raw_members:
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pres.mentions[mention] += 1
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pres.mentions[message.author] += 1
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pres.mention_count += 1
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pres.total_msg += 1
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return impacted
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@staticmethod
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def compute_results(pres: Presence, emotes: Dict[str, Emote]):
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def compute_results(
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pres: Presence, emotes: Dict[str, Emote], emotes_all: Dict[str, Emote]
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):
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# calculate total reactions
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pres.used_reaction_total = sum([emote.reactions for emote in emotes.values()])
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if len(emotes_all) > 0:
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pres.used_reaction_all_total = sum(
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[emote.reactions for emote in emotes_all.values()]
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)
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if pres.used_reaction_total > 0:
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# calculate most used reaction
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pres.most_used_reaction = sorted(emotes, key=lambda k: emotes[k].reactions)[
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