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from dotenv import load_dotenv
from common import create_database_connection
import openai
import json
import hashlib
import os
load_dotenv()
MAX_CHAR_CONTENT_CONSIDERATION_LENGTH = 1000
def summarization_is_possible() -> bool:
return os.getenv("OPENAI_API_KEY")
def _make_cache_key(game: str, img_urls: list[str]) -> str:
normalized_game = game.strip().lower()
img_data = json.dumps(sorted(img_urls), separators=(",", ":"))
hash_digest = hashlib.sha256(img_data.encode()).hexdigest()[:12]
return f"{normalized_game}_{hash_digest}"
def generate_headline_and_content_from_images(img_urls: list[str], game: str, message_content: str="") -> tuple:
"""
Uses LLM to generate the headline and content when none provided by source, based on one or more images.
"""
# Limit message content to 500 characters
if len(message_content) > MAX_CHAR_CONTENT_CONSIDERATION_LENGTH:
message_content = message_content[:MAX_CHAR_CONTENT_CONSIDERATION_LENGTH]
database = create_database_connection()
cache_key = _make_cache_key(game, img_urls)
cache_entry = database.get_summary(cache_key)
if cache_entry:
return cache_entry["headline"], cache_entry["content"]
tools = [
{
"type": "function",
"function": {
"name": "generate_update_text",
"description": "Generates a concise English headline and short description for a rhythm game update image and the original message content.",
"parameters": {
"type": "object",
"properties": {
"headline": {
"type": "string",
"description": "A short English headline summarizing the game update.",
},
"content": {
"type": "string",
"description": "A brief English description of the new content shown in the image(s).",
},
},
"required": ["headline", "content"],
},
},
}
]
messages = [
{
"role": "user",
"content": [
{
"type": "text",
"text": (
f"Given one or more update-related images for the arcade game {game} and the original Discord message content (limited to 500 characters): '{message_content}', return a short, professional English headline and a brief, stern and concise description summarizing the content. No need to repeat game name"
),
},
*[{"type": "image_url", "image_url": {"url": url}} for url in img_urls],
],
}
]
try:
response = openai.chat.completions.create(
model="gpt-5",
messages=messages,
tools=tools,
tool_choice={
"type": "function",
"function": {"name": "generate_update_text"},
},
)
tool_result = response.choices[0].message.tool_calls[0].function.arguments
parsed_result = json.loads(tool_result)
headline = parsed_result["headline"]
content = parsed_result["content"]
database.add_new_summary(cache_key, headline, content)
database.close()
except openai.OpenAIError as e:
print(f"[ERROR] Function call to OpenAI for summarization failed ERROR -> {e} ")
database.close()
return f"NEW {game} INFORMATION / 新しい{game}情報", f"NEW {game} INFORMATION AVAILABLE / 新しい{game}情報が利用可能です"
return headline, content
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