mirror of
https://github.com/Nezumi-2711/astrbot_plugin_qq_group_daily_analysis.git
synced 2026-09-22 13:38:43 +00:00
283 lines
8.6 KiB
Python
283 lines
8.6 KiB
Python
import asyncio
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import os
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import sys
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import types
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from pathlib import Path
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# ==========================================
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# 1. Environment Setup
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# ==========================================
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# Add project root to sys.path so we can import 'astrbot' and plugin modules
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# In docker environment:
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# /AstrBot
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# /AstrBot/data/plugins/astrbot_plugin_qq_group_daily_analysis
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current_dir = os.path.dirname(os.path.abspath(__file__))
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plugin_root = os.path.abspath(os.path.join(current_dir, ".."))
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sys.path.insert(0, plugin_root)
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# Mock astrbot.api
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astrbot_api = types.ModuleType("astrbot.api")
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class MockLogger:
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def info(self, msg, *args, **kwargs):
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print(f"[INFO] {msg}")
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def error(self, msg, *args, **kwargs):
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print(f"[ERROR] {msg}")
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def warning(self, msg, *args, **kwargs):
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print(f"[WARN] {msg}")
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def debug(self, msg, *args, **kwargs):
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print(f"[DEBUG] {msg}")
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def log(self, level, msg, *args, **kwargs):
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print(f"[LOG {level}] {msg}")
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def isEnabledFor(self, level):
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return True
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astrbot_api.logger = MockLogger()
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astrbot_api.AstrBotConfig = dict
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sys.modules["astrbot.api"] = astrbot_api
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# Mock astrbot.core.utils.astrbot_path
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astrbot_core_utils = types.ModuleType("astrbot.core.utils")
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astrbot_path = types.ModuleType("astrbot.core.utils.astrbot_path")
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astrbot_path.get_astrbot_data_path = lambda: Path(".")
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sys.modules["astrbot.core.utils"] = astrbot_core_utils
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sys.modules["astrbot.core.utils.astrbot_path"] = astrbot_path
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# Now import plugin modules
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from src.domain.entities.analysis_result import ( # noqa: E402
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ActivityVisualization,
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EmojiStatistics,
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GoldenQuote,
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GroupStatistics,
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SummaryTopic,
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TokenUsage,
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UserTitle,
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)
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from src.infrastructure.reporting.generators import ReportGenerator # noqa: E402
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# ==========================================
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# 2. Mocks
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# ==========================================
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class MockConfigManager:
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def __init__(self):
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pass
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def get_pdf_output_dir(self):
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# Output to the scripts directory for easy access
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return os.path.join(current_dir, "output")
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def get_pdf_filename_format(self):
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return "mock_report_{group_id}_{date}.pdf"
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def get_max_topics(self):
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return 5
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def get_max_user_titles(self):
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return 8
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def get_max_golden_quotes(self):
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return 5
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def get_report_template(self):
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return "scrapbook"
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def get_enable_user_card(self):
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return True
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def get_t2i_max_concurrent(self):
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return 2
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@property
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def playwright_available(self):
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return True
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def get_browser_path(self):
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return ""
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async def mock_get_user_avatar(avatar_id: str, avatar_url_getter=None) -> str:
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# Return a known avatar URL for testing
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return f"https://q4.qlogo.cn/headimg_dl?dst_uin={avatar_id}&spec=640"
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# ==========================================
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# 3. Main Execution
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# ==========================================
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async def main():
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print("Initializing ReportGenerator...")
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config_manager = MockConfigManager()
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data_dir = Path(current_dir) / "data"
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generator = ReportGenerator(config_manager, data_dir)
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# Override avatar fetching to avoid real network calls during testing
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generator._get_user_avatar = mock_get_user_avatar
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# 1. Mock Analysis Result using Entities
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stats = GroupStatistics(
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message_count=1280,
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total_characters=8500,
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participant_count=42,
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most_active_period="20:00-22:00",
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emoji_count=156,
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emoji_statistics=EmojiStatistics(face_count=100, mface_count=56),
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activity_visualization=ActivityVisualization(
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hourly_activity={i: (i * 5) % 65 for i in range(24)},
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daily_activity={"2026-02-11": 1280},
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),
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)
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topics = [
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SummaryTopic(
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topic="AstrBot新功能",
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detail="大家对 [10001] 提到的PDF生成功能的讨论非常热烈，[10002] 提出了很多优化建议。",
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contributors=["开发者", "测试员"],
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),
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SummaryTopic(
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topic="周末计划",
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detail="[10003] 提议去爬山，也有人想在家打游戏。",
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contributors=["旅行家", "宅男"],
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),
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SummaryTopic(
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topic="代码调试",
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detail="关于Python异步编程的深入探讨，[10001]分享了一些心得。",
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contributors=["小白", "大神"],
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),
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SummaryTopic(
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topic="美食分享",
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detail="深夜放毒，[10004] 发了很多火锅和烧烤的照片。",
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contributors=["吃货A", "吃货B"],
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),
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SummaryTopic(
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topic="模组推荐",
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detail="[10005] 推荐了一些好用的Minecraft模组。",
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contributors=["MC玩家"],
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),
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]
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user_titles = [
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UserTitle(
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name="极客",
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user_id="10001",
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title="代码魔术师",
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mbti="INTJ",
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reason="总是能用一行代码解决复杂问题。",
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),
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UserTitle(
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name="社牛",
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user_id="10002",
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title="气氛组组长",
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mbti="ENFP",
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reason="群里冷场时总能第一时间活跃气氛。",
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),
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UserTitle(
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name="百科",
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user_id="10003",
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title="移动维基",
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mbti="ISTJ",
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reason="不管问什么问题，他都知道答案。",
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),
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UserTitle(
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name="潜水",
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user_id="10004",
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title="深海幽灵",
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mbti="INTP",
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reason="虽然很少说话，但每次发言都直击要害。",
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),
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UserTitle(
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name="欧皇",
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user_id="10005",
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title="天选之子",
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mbti="ESFJ",
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reason="抽卡次次出金，让人羡慕嫉妒恨。",
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),
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]
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stats.golden_quotes = [
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GoldenQuote(
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sender="大佬",
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content="这代码能跑就行，别动它！",
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reason="至理名言，动了就崩。",
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user_id="20001",
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),
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GoldenQuote(
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sender="萌新",
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content="为什么我的报错和你不一？",
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reason="经典的灵魂发问。",
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user_id="20002",
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),
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GoldenQuote(
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sender="群主",
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content="再发涩图全部禁言！",
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reason="来自管理层的威慑。",
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user_id="888888",
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),
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]
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stats.token_usage = TokenUsage(
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prompt_tokens=2000, completion_tokens=1000, total_tokens=3000
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)
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analysis_result = {
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"statistics": stats,
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"topics": topics,
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"user_titles": user_titles,
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"user_analysis": {
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"10001": {"nickname": "极客"},
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"10002": {"nickname": "社牛"},
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"10003": {"nickname": "百科"},
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"10004": {"nickname": "潜水"},
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"10005": {"nickname": "欧皇"},
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},
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"token_usage": TokenUsage(
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prompt_tokens=2000, completion_tokens=1000, total_tokens=3000
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),
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}
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class MockDimension:
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def __init__(self, name, percentage, comment, color):
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self.name = name
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self.percentage = percentage
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self.comment = comment
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self.color = color
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class MockChatQualityReview:
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def __init__(self):
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self.title = "今日群聊质量分析"
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self.subtitle = "基于AI的深度神经网络评估"
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self.dimensions = [
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MockDimension("讨论活跃度", 85, "大家讨论非常热烈", "#FF5722"),
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MockDimension("知识共享度", 70, "分享了很多有用的技术信息", "#4CAF50"),
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MockDimension("情感温度", 92, "群内氛围非常融洽", "#E91E63")
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]
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self.summary = "整体聊天的质量很高，技术讨论和日常闲聊达到了完美的平衡。"
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analysis_result["chat_quality_review"] = MockChatQualityReview()
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print("Generating PDF Report...")
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group_id = "test_group_mock"
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# Direct generation
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pdf_path = await generator.generate_pdf_report(analysis_result, group_id=group_id)
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if pdf_path:
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print(f"\n[SUCCESS] PDF Generated Successfully: {pdf_path}")
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if os.path.exists(pdf_path):
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print(f"File Size: {os.path.getsize(pdf_path) / 1024:.2f} KB")
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else:
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print(
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"[WARN] Generated path returned but file not found on local disk (might be in container)."
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)
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else:
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print("\n[FAILURE] PDF Generation Failed.")
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if __name__ == "__main__":
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asyncio.run(main())
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