Überarbeite den Prompt für die Generierung von Intro-Texten in der Marketing Matrix. Das Intro beginnt nun direkt mit der branchenspezifischen Produktkategorie und dem zentralen Nutzen, anstatt die Herausforderung zu wiederholen. Dies verbessert die Prägnanz und Relevanz der E-Mails.
65 lines
2.1 KiB
Python
65 lines
2.1 KiB
Python
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import sys
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import os
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import argparse
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# Adjust the path to include the 'company-explorer' directory
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# This allows the script to find the 'backend' module
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sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..')))
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from backend.database import SessionLocal, Industry, Persona, MarketingMatrix
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def check_texts_for_industry(industry_name: str):
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"""
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Fetches and prints the marketing matrix texts for all personas
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within a specific industry.
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"""
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db = SessionLocal()
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try:
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industry = db.query(Industry).filter(Industry.name == industry_name).first()
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if not industry:
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print(f"Error: Industry '{industry_name}' not found.")
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# Suggest similar names
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all_industries = db.query(Industry.name).all()
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print("\nAvailable Industries:")
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for (name,) in all_industries:
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print(f"- {name}")
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return
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entries = (
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db.query(MarketingMatrix)
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.join(Persona)
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.filter(MarketingMatrix.industry_id == industry.id)
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.order_by(Persona.id)
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.all()
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)
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if not entries:
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print(f"No marketing texts found for industry: {industry_name}")
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return
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print(f"--- NEW TEXTS FOR {industry_name} ---")
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for entry in entries:
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print(f"\nPERSONA: {entry.persona.name}")
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print(f"Subject: {entry.subject}")
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print(f"Intro: {entry.intro.replace(chr(10), ' ')}") # Replace newlines for cleaner one-line output
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except Exception as e:
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print(f"An error occurred: {e}")
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finally:
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db.close()
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Debug and check marketing matrix texts for a given industry.")
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parser.add_argument(
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"industry",
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type=str,
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nargs='?',
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default="Healthcare - Hospital",
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help="The name of the industry to check (e.g., 'Healthcare - Hospital'). Defaults to 'Healthcare - Hospital'."
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)
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args = parser.parse_args()
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check_texts_for_industry(args.industry)
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