# app/model_config.py

import os

# ==================== 大模型配置 ====================
LLM_CONFIG = {
    "model": "46-qwen3.5-35B",
    "base_url": "http://192.168.0.46:59800/v1",
    "api_key": "gpustack_dee9ca823290886c_5edfc86aeeeceb1e9ee5162941cb2cb5",
    "temperature": 0.1,
    "max_tokens": 55096,
    "timeout": 30
}

# ==================== 嵌入模型配置 ====================
EMBEDDING_CONFIG = {
    "model": "bge-m3",
    "base_url": "http://192.168.0.46:59700/v1/embeddings",
    "api_key": "gpustack_dee9ca823290886c_5edfc86aeeeceb1e9ee5162941cb2cb5",
}

# ==================== Neo4j 图数据库配置 ====================
NEO4J_CONFIG = {
    # 优先读取环境变量，如果没有则使用默认值
    # 注意：本地开发通常用 localhost，部署时用服务名 neo4j
    "uri": "neo4j://192.168.0.46:57687", 
    "username":  "neo4j",
    "password": "zdht123@",
    "database":  "neo4j", # 新增 database 配置
}

# ==================== 检索与索引配置 ====================
SEARCH_CONFIG = {
    "name_property": "名称",
    "fulltext_property": "fulltext",
    "embedding_property": "embedding",
    "search_label": "Searchable",
    "vector_index_name": "global_searchable_embedding",
    "fulltext_index_name": "global_searchable_content_search",
    "fulltext_field_index_name": "global_searchable_fulltext_search",
    "global_entity_embedding" : "global_entity_embedding",
    "global_entity_content_search": "global_entity_content_search",
    "excluded_business_labels": [
        "Entity", "Chunk", "Document", "_Bloom_Perspective_", "Searchable"
    ],
    "vector_dimension": 1024,
    "jieba_pos_whitelist": ["n", "nr", "ns", "nt", "nz", "vn", "eng"],
    "embed_batch_size" : 64,
    "embed_thread_num"  : 4,
    "node_fetch_page" : 10000,
}

INDEXING_ULR = "http://192.168.0.46:59085/neo4j_indexing"

URL = {
    "indexing_url" : "http://192.168.0.46:59085/neo4j_indexing",
    "prefix_url" : "http://192.168.0.46:59085",
}

API_URLS = [
      "http://192.168.0.64:59988/analyze-pdf",
    # "http://192.168.0.111:9977/analyze-pdf",
    # "http://192.168.0.111:9978/analyze-pdf",
    #"http://192.168.0.111:9979/analyze-pdf",
    #"http://192.168.0.111:9980/analyze-pdf",
    # "http://192.168.0.111:9975/analyze-pdf",
]
API_OTHER_URLS = [
      "http://192.168.0.46:59988/analyze-otherfile",
    # "http://192.168.0.111:9977/analyze-otherfile",
    # "http://192.168.0.111:9978/analyze-otherfile",
    #"http://192.168.0.111:9979/analyze-otherfile",
    #"http://192.168.0.111:9980/analyze-otherfile",
    # "http://192.168.0.111:9975/analyze-otherfile",
]

# ==================== 切片图片处理配置 ====================
MAX_SPLIT_IMAGE_INPUT_BYTES = 50 * 1024 * 1024
MAX_SPLIT_IMAGE_BYTES = 10 * 1024 * 1024
MAX_SPLIT_IMAGE_BASE64_CHARS = (MAX_SPLIT_IMAGE_INPUT_BYTES * 4 // 3) + 4096
SPLIT_IMAGE_COMPRESS_THRESHOLD_BYTES = MAX_SPLIT_IMAGE_BYTES
SPLIT_IMAGE_MAX_DIMENSION = 4096
SPLIT_IMAGE_JPEG_QUALITY = 88
OCR_CONCURRENCY = 1
VLM_CONCURRENCY = 2

SHIP_MODEL_NAME = "/app/ship_xinghao.json"
TREE_JSON_PATH = "/app/tree_data.json"
# ==================== mineru和kgrag目录映射地址 ====================
SEARCH_DIR ="/app/mineru_output"
IMAGE_DIR = "/app/mineru_output/images"