Hermes Agent
bbefb8807b
WhatsApp webhook, admin dashboard, public frontend, media handling, LLM auto-summarize, hall/stand detection, iOS-style backend
86 lines
3.8 KiB
Python
86 lines
3.8 KiB
Python
#!/usr/bin/env python3
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"""Initialize the BSN Intake SQLite database with schema + sample data."""
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import sqlite3
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import os
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DB_PATH = os.path.join(os.path.dirname(__file__), "bsn_intake.db")
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SCHEMA = """
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-- Incoming submissions from all channels
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CREATE TABLE IF NOT EXISTS submissions (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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channel TEXT NOT NULL, -- 'whatsapp', 'telegram', 'web_form'
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sender_id TEXT NOT NULL, -- phone number, telegram ID, email
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type TEXT NOT NULL, -- 'text', 'image', 'voice', 'video'
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content TEXT, -- transcribed text or message body
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media_path TEXT, -- local path to saved media file
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status TEXT DEFAULT 'new', -- 'new', 'processing', 'done', 'flagged'
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category TEXT, -- Hermes-classified category
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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-- Knowledge base for the query chatbot
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CREATE TABLE IF NOT EXISTS knowledge (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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key TEXT UNIQUE NOT NULL, -- lookup key (e.g. 'autor_uwe_rosenberg')
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question_pattern TEXT, -- "Where is Uwe Rosenberg?"
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answer TEXT NOT NULL, -- "Hall 3, Booth B12, 10am-6pm"
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category TEXT,
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tags TEXT, -- comma-separated
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valid_from DATE,
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valid_until DATE,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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-- Indexes for fast lookups
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CREATE INDEX IF NOT EXISTS idx_submissions_status ON submissions(status);
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CREATE INDEX IF NOT EXISTS idx_submissions_channel ON submissions(channel);
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CREATE INDEX IF NOT EXISTS idx_submissions_category ON submissions(category);
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CREATE INDEX IF NOT EXISTS idx_knowledge_key ON knowledge(key);
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CREATE INDEX IF NOT EXISTS idx_knowledge_category ON knowledge(category);
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"""
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SAMPLE_SUBMISSIONS = [
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("whatsapp", "+491234567890", "text", "Wo ist der Stand von Feuerland? Hallo?", "new", None),
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("whatsapp", "+491234567891", "text", "Catan ist ausverkauft in Halle 5!", "new", "ausverkauft"),
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("telegram", "8520780873", "text", "Habe eben gesehen: Kosmos Halle 3, Stand A42 hat noch Restbestände von Die Crew", "new", "restbestände"),
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("web_form", "besucher@example.com", "text", "Warum gibt es keine barrierefreien Zugänge in Halle 8?", "flagged", "kritik"),
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]
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SAMPLE_KNOWLEDGE = [
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("feuerland_stand", "Wo ist Feuerland?", "Feuerland Spiele findest du in Halle 3, Stand C17. Geöffnet von 10–18 Uhr.", "verlage", "feuerland, stand, messe", "2026-10-01", "2026-10-04"),
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("catan_verfuegbar", "Ist Catan noch verfügbar?", "Catan war Stand 12.06.2026 in Halle 5 ausverkauft. Kosmos meldet Nachschub für Morgen früh.", "verlage", "catan, kosmos, ausverkauft", "2026-10-01", "2026-10-04"),
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("oeffnungszeiten", "Wann öffnet die Messe?", "Die Spiel Essen 2026 öffnet Donnerstag bis Samstag von 10–18 Uhr, Sonntag von 10–17 Uhr.", "messe", "öffnungszeiten, messe, essen", None, None),
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]
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def init():
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conn = sqlite3.connect(DB_PATH)
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conn.executescript(SCHEMA)
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# Check if data already exists
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count = conn.execute("SELECT COUNT(*) FROM submissions").fetchone()[0]
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if count == 0:
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conn.executemany(
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"INSERT INTO submissions (channel, sender_id, type, content, status, category) VALUES (?,?,?,?,?,?)",
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SAMPLE_SUBMISSIONS,
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)
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print(f"Inserted {len(SAMPLE_SUBMISSIONS)} sample submissions")
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count = conn.execute("SELECT COUNT(*) FROM knowledge").fetchone()[0]
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if count == 0:
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conn.executemany(
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"INSERT INTO knowledge (key, question_pattern, answer, category, tags, valid_from, valid_until) VALUES (?,?,?,?,?,?,?)",
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SAMPLE_KNOWLEDGE,
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)
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print(f"Inserted {len(SAMPLE_KNOWLEDGE)} sample knowledge entries")
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conn.commit()
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conn.close()
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print(f"Database initialized: {DB_PATH}")
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if __name__ == "__main__":
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init()
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