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test.py
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test.py
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import json
import unittest
import os
from tqdm import tqdm
from dotenv import load_dotenv
from src.company_overview import company_overview
from src.income_statement import income_statement
from src.ticker_search import get_companies , get_ticker
from src.rag.ingestion import Ingestion
from src.rag.retrieval import Retrieve
load_dotenv(".env")
os.environ['OPENAI_API_KEY'] = os.getenv("OPENAI_API_KEY")
os.environ['AV_API_KEY'] = os.getenv("AV_API_KEY")
import logging
from logger_config import setup_logging
setup_logging()
logger = logging.getLogger(__name__)
class TestCompanyOverview(unittest.TestCase):
def test_company_overview(self):
from data.test_data.test_company_overview_data import test_cases
for symbol in tqdm(test_cases):
with self.subTest(symbol=symbol):
try:
logger.info(f"Testing {symbol}")
result = company_overview(symbol)
logger.info(result)
print("-"*30)
self.assertIsNotNone(result, f"company_overview returned None for {symbol}")
self.assertNotIn('Error', result, f"Error found in company_overview result for {symbol}: {result.get('Error')}")
except Exception as e:
self.fail(f"company_overview raised an exception for {symbol}: {e}")
class TestIncomeStatement(unittest.TestCase):
def test_income_statement(self):
with open("data/test_data/test_income_statement_data.json", "r") as f:
test_cases = json.load(f)
for test_case in tqdm(test_cases[2:3]):
with self.subTest(symbol=test_case['symbol'], fields_to_include=test_case['fields_to_include']):
try:
logger.info(f"Testing {test_case['symbol']}")
result = income_statement(test_case['symbol'], test_case['fields_to_include'])
logger.info(result)
print("-"*30)
self.assertIsNotNone(result, f"income_statement returned None for {test_case['symbol']}")
self.assertNotIn('Error', result, f"Error found in income_statement result for {test_case['symbol']}: {result.get('Error')}")
except Exception as e:
self.fail(f"income_statement raised an exception for {test_case['symbol']}: {e}")
class TestTickerSearch(unittest.TestCase):
def test_get_companies(self):
with self.subTest():
try:
companies = get_companies()
logger.info(companies[:10])
except Exception as e:
self.fail(e)
def test_get_ticker_symbol(self):
with open('data/test_data/test_ticker_symbol_data.json', 'r') as f:
test_cases = json.load(f)
for test_case in tqdm(test_cases):
with self.subTest():
try:
ticker = get_ticker(test_case['company_name'])
logger.info(ticker)
self.assertEqual(ticker, test_case['ticker_symbol'])
logger.info(ticker)
except Exception as e:
self.fail(f"get_ticker() raised an exception for {test_case['company_name']}: {e}")
class TestIngestion(unittest.TestCase):
def test_extract(self):
path_or_url = ["data/streamlit/from_streamlit.pdf", "https://d18rn0p25nwr6d.cloudfront.net/CIK-0000320193/b4266e40-1de6-4a34-9dfb-8632b8bd57e0.pdf"]
for path in path_or_url:
with self.subTest(path=path):
try:
ingestion_instance = Ingestion(path_or_url=path)
ingestion_instance.extract()
logger.info(f"Extraction successful")
except Exception as e:
self.fail(f"extract() raised an exception for {path}: {e}")
def test_get_documents(self):
with self.subTest():
path_or_url = "https://d18rn0p25nwr6d.cloudfront.net/CIK-0000320193/b4266e40-1de6-4a34-9dfb-8632b8bd57e0.pdf"
ingestion_instance = Ingestion(path_or_url=path_or_url)
ingestion_instance.extract()
docs = ingestion_instance.get_documents()
for doc in docs[:5]:
logger.info(f"Metadata: {doc.metadata}\n\nContent: {doc.page_content}")
def test_get_mapped_sections(self):
with self.subTest():
path_or_url = "https://d18rn0p25nwr6d.cloudfront.net/CIK-0000320193/b4266e40-1de6-4a34-9dfb-8632b8bd57e0.pdf"
ingestion_instance = Ingestion(path_or_url=path_or_url)
ingestion_instance.extract()
mapped_sections = ingestion_instance.get_mapped_sections()
for k, v in mapped_sections.items():
logger.info(f"{k}: {v}")
def test_add_item_metadata(self):
with self.subTest():
path_or_url = "https://d18rn0p25nwr6d.cloudfront.net/CIK-0000320193/b4266e40-1de6-4a34-9dfb-8632b8bd57e0.pdf"
ingestion_instance = Ingestion(path_or_url=path_or_url)
ingestion_instance.extract()
documents = ingestion_instance.get_documents()
mapped_sections = ingestion_instance.get_mapped_sections()
items = ingestion_instance.add_item_metadata(documents, mapped_sections)
for item in items[:5]:
logger.info(item)
def test_ingest(self):
with self.subTest():
path_or_url = "data/meta/meta.pdf"
ingestion_instance = Ingestion(path_or_url=path_or_url)
chunks = ingestion_instance.ingest()
for chunk in chunks[:10]:
logger.info(chunk)
class TestRetrieve(unittest.TestCase):
def test_convert_chunks_to_nodes(self):
with self.subTest():
path = "data/test_data/test_retrieval_microsoft.json"
with open(path, "r") as f:
chunks = json.load(f)
retrieve_obj = Retrieve(chunks)
nodes = retrieve_obj.convert_chunks_to_nodes()
for node in nodes[:5]:
logger.info(node)
def test_get_vector_index_engine(self):
with self.subTest():
path = "data/test_data/test_retrieval_microsoft.json"
with open(path, "r") as f:
chunks = json.load(f)
retrieve_obj = Retrieve(chunks)
nodes = retrieve_obj.convert_chunks_to_nodes()
engine = retrieve_obj.get_vector_index_engine(nodes)
self.assertIsNotNone(engine, "get_vector_index_engine() returned None")
def test_get_sub_question_query_engine(self):
with self.subTest():
path = "data/test_data/test_retrieval_microsoft.json"
with open(path, "r") as f:
chunks = json.load(f)
retrieve_obj = Retrieve(chunks)
nodes = retrieve_obj.convert_chunks_to_nodes()
engine = retrieve_obj.get_vector_index_engine(nodes)
sub_question_query_engine = retrieve_obj.get_sub_question_query_engine(engine)
self.assertIsNotNone(sub_question_query_engine, "get_sub_question_query_engine() returned None")
def test_engine(self):
with self.subTest():
path = "data/test_data/test_retrieval_microsoft.json"
with open(path, "r") as f:
chunks = json.load(f)
retrieve_obj = Retrieve(chunks)
engine = retrieve_obj.engine()
self.assertIsNotNone(engine, "engine() returned None")
if __name__ == '__main__':
unittest.main()
# command to run tests:
# python -m unittest test.py -k function_name