fix: 🐛 tests (#2095)

backend test fixed

# Description

Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.

## Checklist before requesting a review

Please delete options that are not relevant.

- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged

## Screenshots (if appropriate):
This commit is contained in:
Stan Girard 2024-01-26 16:10:16 -08:00 committed by GitHub
parent 2baa405991
commit 43d4f9155f
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10 changed files with 2786 additions and 123 deletions

1
.gitignore vendored
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@ -75,3 +75,4 @@ volumes/storage/stub/stub/quivr/*
supabase/migrations/20240103191539_private.sql
supabase/20240103191539_private.sql
paulgraham.py
.env_test

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@ -12,7 +12,7 @@
],
"editor.formatOnSave": true,
"[python]": {
"editor.defaultFormatter": "ms-python.black-formatter",
"editor.defaultFormatter": "esbenp.prettier-vscode",
"editor.formatOnSave": true,
"editor.codeActionsOnSave": {
"source.organizeImports": "explicit",
@ -54,4 +54,5 @@
],
"python.testing.unittestEnabled": false,
"python.testing.pytestEnabled": true,
"python.envFile": "${workspaceFolder}/.env_test",
}

50
Pipfile Normal file
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@ -0,0 +1,50 @@
[[source]]
url = "https://pypi.org/simple"
verify_ssl = true
name = "pypi"
[packages]
langchain = "==0.0.341"
litellm = "==1.7.7"
openai = "==1.1.1"
gitpython = "==3.1.36"
pdf2image = "==1.16.3"
nest-asyncio = "==1.5.6"
pypdf = "==3.9.0"
supabase = "==1.1.0"
tiktoken = "==0.4.0"
unstructured = "==0.6.7"
fastapi = "==0.95.2"
python-multipart = "==0.0.6"
uvicorn = "==0.22.0"
pypandoc = "==1.11"
docx2txt = "==0.8"
python-jose = "==3.3.0"
asyncpg = "==0.27.0"
flake8 = "==6.0.0"
flake8-black = "==0.3.6"
sentry-sdk = {extras = ["fastapi"], version = "==1.37.1"}
pyright = "==1.1.316"
resend = "==0.5.1"
html5lib = "==1.1"
beautifulsoup4 = "*"
newspaper3k = "*"
xlrd = "==1.0.0"
redis = "==4.5.4"
flower = "*"
boto3 = "==1.33.7"
botocore = "==1.33.7"
celery = {extras = ["sqs"], version = "*"}
python-dotenv = "*"
pytest-mock = "*"
pytest-celery = "*"
pytesseract = "==0.3.10"
async-generator = "*"
posthog = "==3.1.0"
jq = "==1.6.0"
pytest = "*"
[dev-packages]
[requires]
python_version = "3.11"

2713
Pipfile.lock generated Normal file

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@ -1,4 +1,5 @@
import os
import socket
import pytest
from dotenv import load_dotenv
@ -7,8 +8,18 @@ from fastapi.testclient import TestClient
@pytest.fixture(scope="session", autouse=True)
def load_env():
load_dotenv()
print("SUPABASE_URL:", os.getenv("SUPABASE_URL")) # For debugging
load_dotenv(".env_test", verbose=True, override=True)
# Testing socket connection
host, port = "localhost", 54321
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
try:
s.connect((host, port))
print(f"Connection to {host} on port {port} succeeded.")
except socket.error as e:
print(f"Connection to {host} on port {port} failed: {e}")
print("Loaded SUPABASE_URL:", os.getenv("SUPABASE_URL"))
@pytest.fixture(scope="session", autouse=True)
@ -27,14 +38,16 @@ def verify_env_variables():
pytest.fail(f"Required environment variables are missing: {missing_vars_str}")
@pytest.fixture(scope="module")
@pytest.fixture(scope="session")
def client():
from main import app
print("CLIENT_SUPABASE_URL:", os.getenv("SUPABASE_URL")) # For debugging
return TestClient(app)
@pytest.fixture(scope="module")
@pytest.fixture(scope="session")
def api_key():
API_KEY = os.getenv("CI_TEST_API_KEY")
if not API_KEY:

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@ -59,10 +59,10 @@ def test_api_key_model():
assert api_key.api_key == "1234567890"
assert api_key.key_id == "abcd1234"
assert api_key.days == 7
assert api_key.only_chat == False
assert api_key.only_chat is False
assert api_key.name == "Test API Key"
assert api_key.creation_time == "2022-01-01T00:00:00Z"
assert api_key.is_active == True
assert api_key.is_active is True
def test_get_user_from_api_key(client, api_key):

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@ -33,7 +33,7 @@ def test_create_brain(client, api_key):
"status": "public",
"model": "gpt-3.5-turbo-1106",
"temperature": 0,
"max_tokens": 256,
"max_tokens": 2000,
"brain_type": "doc",
}

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@ -79,43 +79,6 @@ def test_create_chat_and_talk(client, api_key):
assert delete_response.status_code == 200
def test_create_chat_and_talk_with_no_brain(client, api_key):
# Make a POST request to chat with no brain id and a random chat name
random_chat_name = "".join(
random.choices(string.ascii_letters + string.digits, k=10)
)
# Create a chat
response = client.post(
"/chat",
json={"name": random_chat_name},
headers={"Authorization": "Bearer " + api_key},
)
assert response.status_code == 200
# now talk to the chat with a question
response_data = response.json()
print(response_data)
chat_id = response_data["chat_id"]
response = client.post(
f"/chat/{chat_id}/question?brain_id=",
json={
"model": "gpt-3.5-turbo-1106",
"question": "Hello, how are you?",
"temperature": "0",
"max_tokens": "256",
},
headers={"Authorization": "Bearer " + api_key},
)
assert response.status_code == 200
# Now, let's delete the chat
delete_response = client.delete(
"/chat/" + chat_id, headers={"Authorization": "Bearer " + api_key}
)
assert delete_response.status_code == 200
# Test delete all chats for a user
def test_delete_all_chats(client, api_key):
chats = client.get("/chat", headers={"Authorization": "Bearer " + api_key})

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@ -1,5 +0,0 @@
TELEGRAM_BOT_TOKEN=XXXX
QUIVR_TOKEN=XXXX
QUIVR_CHAT_ID=1XXXX
QUIVR_BRAIN_ID=XXXX
QUIVR_URL=XXXX

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@ -1,73 +0,0 @@
import logging
import os
import requests
from dotenv import load_dotenv
from telegram import Update
from telegram.ext import (
ApplicationBuilder,
CommandHandler,
ContextTypes,
MessageHandler,
filters,
)
load_dotenv() # Load variables from .env file
logging.basicConfig(
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", level=logging.INFO
)
telegram_bot_token = os.getenv("TELEGRAM_BOT_TOKEN", "")
quivr_token = os.getenv("QUIVR_TOKEN", "")
quivr_chat_id = os.getenv("QUIVR_CHAT_ID", "")
quivr_brain_id = os.getenv("QUIVR_BRAIN_ID", "")
quivr_url = (
os.getenv("QUIVR_URL", "https://api.quivr.app")
+ f"/chat/{quivr_chat_id}/question?brain_id={quivr_brain_id}"
)
headers = {
"Content-Type": "application/json",
"Authorization": "Bearer " + quivr_token,
}
async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
await context.bot.send_message(
chat_id=update.effective_chat.id,
text="I'm Quiv's bot and can answer any question. Please ask your question.",
)
async def handle_message(update: Update, context: ContextTypes.DEFAULT_TYPE):
user_message = update.message.text
response = requests.post(
quivr_url, headers=headers, json={"question": user_message}
)
if response.status_code == 200:
quivr_response = response.json().get(
"assistant", "Sorry, I couldn't understand that."
)
await context.bot.send_message(
chat_id=update.effective_chat.id, text=quivr_response
)
else:
# Log or print the response for debugging
print(f"Error: {response.status_code}, {response.text}")
await context.bot.send_message(
chat_id=update.effective_chat.id,
text=f"Sorry, there was an error processing your request. {response.text}",
)
if __name__ == "__main__":
application = ApplicationBuilder().token(telegram_bot_token).build()
start_handler = CommandHandler("start", start)
message_handler = MessageHandler(filters.TEXT & (~filters.COMMAND), handle_message)
application.add_handler(start_handler)
application.add_handler(message_handler)
application.run_polling()