fix pytest warnings

Introduce a pytest warning filter and replace pkg_resources with importlib APIs for safer resource/version lookup. Add an asynccontextmanager lifespan for the FastAPI app to close the DB connection and terminate the LSP server on shutdown (replacing the deprecated on_event shutdown hook). Harden numeric routines: prevent divide-by-zero in RVI (returns 50 when denominator is zero) and clamp/guard ratios in cagr and calmar_ratio to avoid overflow/invalid results. Minor formatting/import cleanup in web module.

Author: saleh-mir

conftest.py

@@ -0,0 +1,5 @@
+def pytest_configure(config):
+    config.addinivalue_line(
+        "filterwarnings",
+        "ignore:Please use `import python_multipart` instead.:PendingDeprecationWarning",
+    )

jesse/__init__.py

@@ -1,5 +1,6 @@
 import warnings
-import pkg_resources
+from contextlib import asynccontextmanager
+from importlib.resources import files as importlib_files
 from fastapi.responses import FileResponse
 from fastapi.staticfiles import StaticFiles
 from jesse.services.web import fastapi_app
@@ -13,21 +14,27 @@
 warnings.simplefilter(action='ignore', category=FutureWarning)
 
 # get the jesse directory
-JESSE_DIR = pkg_resources.resource_filename(__name__, '')
+JESSE_DIR = str(importlib_files(__name__))
+
+# define lifespan (replaces deprecated @on_event("shutdown"))
+@asynccontextmanager
+async def lifespan(app):
+    yield
+    from jesse.services.db import database
+    database.close_connection()
+    from jesse.services.lsp import terminate_lsp_server
+    terminate_lsp_server()
+
+fastapi_app.router.lifespan_context = lifespan
 
 # load homepage
 @fastapi_app.get("/")
 async def index():
     return FileResponse(f"{JESSE_DIR}/static/index.html")
 
 
-@fastapi_app.on_event("shutdown")
-def shutdown_event():
-    from jesse.services.db import database
-    database.close_connection()
-    # terminate the lsp server
-    from jesse.services.lsp import terminate_lsp_server
-    terminate_lsp_server()
+
+
 
 
 # # # # # # # # # # # # # # # # # # # # # # # # # # # #

jesse/cli.py

@@ -1,7 +1,7 @@
 import time
 
 import click
-import pkg_resources
+from importlib.metadata import version as get_version
 import uvicorn
 
 import jesse.helpers as jh
@@ -10,7 +10,7 @@
 
 
 @click.group()
-@click.version_option(pkg_resources.get_distribution("jesse").version)
+@click.version_option(get_version("jesse"))
 def cli() -> None:
     """CLI entrypoint for Jesse."""
     pass
@@ -42,7 +42,7 @@ def run() -> None:
  ╚════╝ ╚══════╝╚══════╝╚══════╝╚══════╝
                                         
     """
-    version = pkg_resources.get_distribution("jesse").version
+    version = get_version("jesse")
     print(welcome_message)
     print(f"Main Framework Version: {version}")
 

jesse/indicators/rvi.py

@@ -44,7 +44,10 @@ def rvi(candles: np.ndarray, period: int = 10, ma_len: int = 14, matype: int = 1
     up_avg = ma(up, period=ma_len, matype=matype, sequential=True)
     down_avg = ma(down, period=ma_len, matype=matype, sequential=True)
 
-    result = 100 * (up_avg / (up_avg + down_avg))
+    # Avoid division by zero
+    denominator = up_avg + down_avg
+    with np.errstate(divide='ignore', invalid='ignore'):
+        result = np.where(denominator != 0, 100 * (up_avg / denominator), 50)
 
     return result if sequential else result[-1]
 

jesse/services/metrics.py

@@ -133,7 +133,12 @@ def calmar_ratio(returns):
     if years == 0:
         return pd.Series([0.0])
 
-    cagr_ratio = (last_value / first_value) ** (1 / years) - 1
+    # Prevent overflow by limiting the ratio
+    ratio = last_value / first_value
+    # Clip ratio to prevent overflow in power calculation
+    ratio = np.clip(ratio, 1e-10, 1e10)
+    with np.errstate(over='ignore', under='ignore'):
+        cagr_ratio = ratio ** (1 / years) - 1
 
     # Calculate Max Drawdown using cumulative returns
     cum_returns = (1 + returns).cumprod()
@@ -211,8 +216,13 @@ def cagr(returns, rf=0.0, compounded=True, periods=365):
     if years == 0:
         return pd.Series([0.0])
 
+    # Prevent overflow by limiting the ratio
+    ratio = last_value / first_value
+    # Clip ratio to prevent overflow in power calculation
+    ratio = np.clip(ratio, 1e-10, 1e10)
     # Calculate CAGR using quantstats formula
-    result = (last_value / first_value) ** (1 / years) - 1
+    with np.errstate(over='ignore', under='ignore'):
+        result = ratio ** (1 / years) - 1
 
     return pd.Series([result])
 

jesse/services/web.py

@@ -4,6 +4,7 @@
 from fastapi.middleware.cors import CORSMiddleware
 from pydantic import BaseModel
 
+
 fastapi_app = FastAPI()
 
 origins = [