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import os
import json
from dotenv import load_dotenv
try:
load_dotenv('.env')
except:
pass
PACKAGE = 'policy_analyser'
PROJECT_DIR = os.getcwd()
PACKAGE_PATH = os.path.join(PROJECT_DIR, PACKAGE)
PROMPTS_DIR = os.path.join(PACKAGE_PATH, 'prompts')
DATA_DIR = os.path.join(PACKAGE_PATH, 'data')
CREDENTIALS = {
'azure' : {
'plain-text' : {
'endpoint' : os.environ.get('AZURE_PLAIN_TEXT_ENDPOINT', ''),
'key' : os.environ.get('AZURE_PLAIN_TEXT_KEY')
},
'layout' : {
'endpoint' : os.environ.get('AZURE_LAYOUT_ENDPOINT', ''),
'key' : os.environ.get('AZURE_LAYOUT_KEY', ''),
'model' : os.environ.get('AZURE_LAYOUT_MODEL', '')
}
}
}
GPT_ENGINE = 'o3-mini'
GPT_KEY = os.environ.get('GPT_KEY', '')
GPT_VERSION = '2024-12-01-preview'
GPT_API_BASE = 'https://ai-ackods910341544474.openai.azure.com/'
AZURE_LAYOUT_ENDPOINT = 'https://acko-document-intelligence.cognitiveservices.azure.com/'
AZURE_LAYOUT_KEY = os.environ.get('AZURE_LAYOUT_KEY', '')
AZURE_LAYOUT_MODEL = 'prebuilt-layout'
# EXTRACTION_PROMPT = open(os.path.join(PROMPTS_DIR, 'extraction.txt')).read()
# entities = json.load(open(os.path.join(DATA_DIR, 'policy_analyser_entities.json')))
# for entity in entities:
# del entity['entityId']
# entities_str = '\n---\n'.join(['\n'.join([f'{k} : {v}' for k, v in entity.items()]) for entity in entities])
# EXTRACTION_PROMPT += entities_str |