1 files changed, 77 insertions, 0 deletions
diff --git a/src/utils.py b/src/utils.py
new file mode 100644
index 0000000..50ecc34
--- /dev/null
+++ b/src/utils.py
@@ -0,0 +1,77 @@
+from hashlib import md5
+from dataclasses import dataclass, field
+from typing import List, Dict
+import httpx
+from openai import OpenAI
+from collections import defaultdict
+import multiprocessing as mp
+import re
+import string
+import logging
+import numpy as np
+import os
+
+def compute_mdhash_id(content: str, prefix: str = "") -> str:
+    return prefix + md5(content.encode()).hexdigest()
+
+class LLM_Model:
+    def __init__(self, llm_model):
+        http_client = httpx.Client(timeout=60.0, trust_env=False)
+        self.openai_client = OpenAI(
+            api_key=os.getenv("OPENAI_API_KEY"),
+            base_url=os.getenv("OPENAI_BASE_URL"),
+            http_client=http_client
+        )
+        self.llm_config = {
+            "model": llm_model,
+            "max_tokens": 2000,
+            "temperature": 0,
+        }
+    def infer(self, messages):
+        response = self.openai_client.chat.completions.create(**self.llm_config,messages=messages)
+        return response.choices[0].message.content
+
+
+
+def normalize_answer(s):
+    if s is None:
+        return ""
+    if not isinstance(s, str):
+        s = str(s) 
+    def remove_articles(text):
+        return re.sub(r"\b(a|an|the)\b", " ", text)
+    def white_space_fix(text):
+        return " ".join(text.split())
+    def remove_punc(text):
+        exclude = set(string.punctuation)
+        return "".join(ch for ch in text if ch not in exclude)
+    def lower(text):
+        return text.lower()
+    return white_space_fix(remove_articles(remove_punc(lower(s))))
+
+def setup_logging(log_file):
+    log_format = '%(asctime)s - %(levelname)s - %(message)s'
+    handlers = [logging.StreamHandler()]  
+    os.makedirs(os.path.dirname(log_file), exist_ok=True)
+    handlers.append(logging.FileHandler(log_file, mode='a', encoding='utf-8'))
+    logging.basicConfig(
+        level=logging.INFO,
+        format=log_format,
+        handlers=handlers,
+        force=True
+    )
+    # Suppress noisy HTTP request logs (e.g., 401 Unauthorized) from httpx/openai
+    logging.getLogger("httpx").setLevel(logging.WARNING)
+    logging.getLogger("httpcore").setLevel(logging.WARNING)
+    logging.getLogger("openai").setLevel(logging.WARNING)
+
+def min_max_normalize(x):
+    min_val = np.min(x)
+    max_val = np.max(x)
+    range_val = max_val - min_val
+    
+    # Handle the case where all values are the same (range is zero)
+    if range_val == 0:
+        return np.ones_like(x)  # Return an array of ones with the same shape as x
+    
+    return (x - min_val) / range_val