259 lines
12 KiB
Python
259 lines
12 KiB
Python
import os
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import time
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from datetime import datetime
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import argparse
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import sys
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import traceback
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import json
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from core.ai_agent import AI_Agent
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from core.topic_parser import TopicParser
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import core.contentGen as contentGen
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import core.posterGen as posterGen
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import core.simple_collage as simple_collage
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from utils.resource_loader import ResourceLoader
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from utils.tweet_generator import prepare_topic_generation, generate_topics, generate_single_content
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import random
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TEXT_POSBILITY = 0.3
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def load_config(config_path="poster_gen_config.json"):
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"""Loads configuration from a JSON file."""
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if not os.path.exists(config_path):
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print(f"Error: Configuration file '{config_path}' not found.")
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print("Please copy 'example_config.json' to 'poster_gen_config.json' and customize it.")
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sys.exit(1)
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try:
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with open(config_path, 'r', encoding='utf-8') as f:
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config = json.load(f)
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# Basic validation (can be expanded)
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required_keys = ["api_url", "model", "api_key", "resource_dir", "prompts_dir", "output_dir", "num", "variants", "topic_system_prompt", "topic_user_prompt", "content_system_prompt", "image_base_dir"]
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if not all(key in config for key in required_keys):
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print(f"Error: Config file '{config_path}' is missing one or more required keys.")
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print(f"Required keys are: {required_keys}")
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sys.exit(1)
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# Resolve relative paths based on config location or a defined base path if necessary
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# For simplicity, assuming paths in config are relative to project root or absolute
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return config
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except json.JSONDecodeError:
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print(f"Error: Could not decode JSON from '{config_path}'. Check the file format.")
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sys.exit(1)
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except Exception as e:
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print(f"Error loading configuration from '{config_path}': {e}")
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sys.exit(1)
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def generate_topics_step(config):
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"""Generates topics based on the configuration."""
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print("Step 1: Generating Topics...")
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ai_agent, system_prompt, user_prompt, base_output_dir = prepare_topic_generation(
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config.get("date", datetime.now().strftime("%Y-%m-%d")), # Use current date if not specified
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config["num"], config["topic_system_prompt"], config["topic_user_prompt"],
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config["api_url"], config["model"], config["api_key"], config["prompts_dir"],
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config["resource_dir"], config["output_dir"]
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)
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run_id, tweet_topic_record = generate_topics(
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ai_agent, system_prompt, user_prompt, config["output_dir"],
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config.get("topic_temperature", 0.2), config.get("topic_top_p", 0.5), config.get("topic_max_tokens", 1.5) # Added defaults for safety
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)
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if not run_id or not tweet_topic_record:
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print("Topic generation failed. Exiting.")
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ai_agent.close()
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return None, None
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output_dir = os.path.join(config["output_dir"], run_id)
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os.makedirs(output_dir, exist_ok=True)
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tweet_topic_record.save_topics(os.path.join(output_dir, "tweet_topic.json"))
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tweet_topic_record.save_prompt(os.path.join(output_dir, "tweet_prompt.txt"))
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ai_agent.close()
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print(f"Topics generated successfully. Run ID: {run_id}")
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return run_id, tweet_topic_record
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def generate_content_and_posters_step(config, run_id, tweet_topic_record):
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"""Generates content and posters based on generated topics."""
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if not run_id or not tweet_topic_record:
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print("Missing run_id or topics data. Skipping content and poster generation.")
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return
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print("Step 2: Generating Content and Posters...")
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base_output_dir = config["output_dir"]
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output_dir = os.path.join(base_output_dir, run_id) # Directory for this specific run
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# Load content generation system prompt
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content_system_prompt = ResourceLoader.load_system_prompt(config["content_system_prompt"])
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if not content_system_prompt:
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print("Warning: Content generation system prompt is empty. Using default logic if available or might fail.")
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# Potentially load topic system prompt as fallback if needed, or handle error
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# content_system_prompt = ResourceLoader.load_system_prompt(config["topic_system_prompt"])
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image_base_dir = config.get("image_base_dir", None)
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if not image_base_dir:
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print("Error: 'image_base_dir' not specified in config. Cannot locate images.")
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return
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camera_image_subdir = config.get("camera_image_subdir", "相机") # Default '相机'
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modify_image_subdir = config.get("modify_image_subdir", "modify") # Default 'modify'
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for i, topic in enumerate(tweet_topic_record.topics_list):
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topic_index = i + 1
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print(f"Processing Topic {topic_index}/{len(tweet_topic_record.topics_list)}: {topic.get('title', 'N/A')}")
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tweet_content_list = []
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# --- Content Generation Loop ---
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for j in range(config["variants"]):
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variant_index = j + 1
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print(f" Generating Variant {variant_index}/{config['variants']}...")
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time.sleep(random.random()) # Keep the random delay? Okay for now.
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ai_agent = AI_Agent(config["api_url"], config["model"], config["api_key"])
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try:
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tweet_content, gen_result = generate_single_content(
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ai_agent, content_system_prompt, topic,
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config["prompts_dir"], config["resource_dir"],
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output_dir, run_id, topic_index, variant_index, config.get("content_temperature", 0.3) # Added default
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)
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if tweet_content:
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tweet_content_list.append(tweet_content.get_json_file()) # Assuming this returns the structured data needed later
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else:
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print(f" Failed to generate content for Topic {topic_index}, Variant {variant_index}. Skipping.")
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except Exception as e:
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print(f" Error during content generation for Topic {topic_index}, Variant {variant_index}: {e}")
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traceback.print_exc()
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finally:
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ai_agent.close() # Ensure agent is closed
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if not tweet_content_list:
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print(f" No content generated for Topic {topic_index}. Skipping poster generation.")
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continue
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# --- Poster Generation Setup ---
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object_name = topic.get("object", "")
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if not object_name:
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print(" Warning: Topic object name is missing. Cannot determine image path.")
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continue
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# Clean object name (consider making this a utility function)
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try:
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object_name = object_name.split(".")[0]
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if "景点信息-" in object_name:
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object_name = object_name.split("景点信息-")[1]
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# Handle cases like "景点A+景点B"? Needs clearer logic if required.
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except Exception as e:
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print(f" Warning: Could not fully clean object name '{object_name}': {e}")
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# Construct and check image paths using config base dir
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# Path for collage/poster input images (e.g., from 'modify' dir)
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input_img_dir_path = os.path.join(image_base_dir, modify_image_subdir, object_name)
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# Path for potential description file (e.g., from '相机' dir)
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camera_img_dir_path = os.path.join(image_base_dir, camera_image_subdir, object_name)
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description_file_path = os.path.join(camera_img_dir_path, "description.txt")
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if not os.path.exists(input_img_dir_path) or not os.path.isdir(input_img_dir_path):
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print(f" Image directory not found or not a directory: '{input_img_dir_path}'. Skipping poster generation for this topic.")
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continue
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info_directory = []
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if os.path.exists(description_file_path):
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info_directory = [description_file_path]
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print(f" Using description file: {description_file_path}")
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else:
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print(f" Description file not found: '{description_file_path}'. Using generated content for poster text.")
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# --- Generate Text Configurations for Posters ---
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content_gen = contentGen.ContentGenerator()
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try:
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# Assuming tweet_content_list contains the JSON data needed by content_gen.run
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poster_text_configs_raw = content_gen.run(info_directory, config["variants"], tweet_content_list)
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print(f" Raw poster text configs: {poster_text_configs_raw}") # For debugging
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poster_config_summary = posterGen.PosterConfig(poster_text_configs_raw)
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except Exception as e:
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print(f" Error running ContentGenerator or parsing poster configs: {e}")
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traceback.print_exc()
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continue # Skip poster generation for this topic
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# --- Poster Generation Loop ---
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poster_num = config["variants"] # Same as content variants
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target_size = tuple(config.get("poster_target_size", [900, 1200])) # Add default size
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for j_index in range(poster_num):
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variant_index = j_index + 1
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print(f" Generating Poster {variant_index}/{poster_num}...")
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try:
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poster_config = poster_config_summary.get_config_by_index(j_index)
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if not poster_config:
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print(f" Warning: Could not get poster config for index {j_index}. Skipping.")
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continue
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variant_output_dir = os.path.join(output_dir, f"{topic_index}_{variant_index}")
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collage_output_dir = os.path.join(variant_output_dir, "collage_img")
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poster_output_dir = os.path.join(variant_output_dir, "poster")
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os.makedirs(collage_output_dir, exist_ok=True)
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os.makedirs(poster_output_dir, exist_ok=True)
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# --- Image Collage ---
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img_list = simple_collage.process_directory(
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input_img_dir_path,
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target_size=target_size,
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output_count=1, # Assuming 1 collage image per poster variant
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output_dir=collage_output_dir
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)
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# print(f" Collage image list: {img_list}") # Debugging
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if not img_list or len(img_list) == 0 or not img_list[0].get('path'):
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print(f" Failed to generate collage image for Variant {variant_index}. Skipping poster.")
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continue
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collage_img_path = img_list[0]['path']
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print(f" Using collage image: {collage_img_path}")
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# --- Create Poster ---
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poster_gen_instance = posterGen.PosterGenerator() # Renamed to avoid conflict
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# Prepare text data (Simplified logic, adjust TEXT_POSBILITY if needed)
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# Consider moving text data preparation into posterGen or a dedicated function
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text_data = {
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"title": poster_config.get('main_title', 'Default Title'),
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"subtitle": "", # Subtitle seems unused?
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"additional_texts": []
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}
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texts = poster_config.get('texts', [])
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if texts:
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text_data["additional_texts"].append({"text": texts[0], "position": "bottom", "size_factor": 0.5})
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if len(texts) > 1 and random.random() < TEXT_POSBILITY: # Apply possibility check
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text_data["additional_texts"].append({"text": texts[1], "position": "bottom", "size_factor": 0.5})
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# print(f" Text data for poster: {text_data}") # Debugging
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final_poster_path = os.path.join(poster_output_dir, "poster.jpg")
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result_path = poster_gen_instance.create_poster(collage_img_path, text_data, final_poster_path)
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if result_path:
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print(f" Successfully generated poster: {result_path}")
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else:
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print(f" Poster generation function did not return a valid path.")
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except Exception as e:
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print(f" Error during poster generation for Variant {variant_index}: {e}")
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traceback.print_exc()
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continue # Continue to next variant
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def main():
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# No argparse for now, directly load default config
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config = load_config() # Load from poster_gen_config.json
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# Execute steps sequentially
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run_id, tweet_topic_record = generate_topics_step(config)
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if run_id and tweet_topic_record:
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generate_content_and_posters_step(config, run_id, tweet_topic_record)
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else:
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print("Exiting due to issues in topic generation.")
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if __name__ == "__main__":
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main()
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