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from taskAI import TaskAI | |
from taskNonAI import compile_pdf | |
from data_test import mock_jd, mock_cv, pdf_context | |
from config_secret import api_test | |
from llama_index.llms.openai_like import OpenAILike | |
from llama_index.core.llms import ChatMessage | |
def test_integration(): | |
messages = [ | |
ChatMessage(role="system", content="You are a helpful assistant"), | |
ChatMessage(role="user", content="What is your name"), | |
] | |
print("Testing integration:") | |
response = OpenAILike( | |
model=api_test["model"], | |
api_key=api_test["key"], | |
api_base=api_test["base"], | |
max_retries=0, | |
is_chat_model=True, | |
).chat(messages) | |
print(response) | |
def test_taskAI(): | |
taskAI = TaskAI(api_test) | |
gen = taskAI.cv_preprocess(mock_cv) | |
for chunk in gen: | |
print(chunk) | |
def test_typst_pdf(): | |
compile_pdf(tmpl_path='template_letter.tmpl',context=pdf_context) | |
os | |
if __name__ == "__main__": | |
# test_taskAI() | |
# integration() | |
test_typst_pdf() |