From 3aabd24f418f7b0349942ceaebdba1f3e03f7ce2 Mon Sep 17 00:00:00 2001
From: mspronesti <massimiliano.pronesti@gmail.com>
Date: Thu, 14 Sep 2023 21:00:13 +0200
Subject: [PATCH] fix(connectors): make sqlalchemy non-optional and check
 yfinance imports

---
 pandasai/connectors/yahoo_finance.py | 15 ++++++++++-----
 pyproject.toml                       |  4 ++--
 2 files changed, 12 insertions(+), 7 deletions(-)

diff --git a/pandasai/connectors/yahoo_finance.py b/pandasai/connectors/yahoo_finance.py
index 9beccd66f..2d77b3735 100644
--- a/pandasai/connectors/yahoo_finance.py
+++ b/pandasai/connectors/yahoo_finance.py
@@ -1,5 +1,4 @@
 import os
-import yfinance as yf
 import pandas as pd
 from .base import ConnectorConfig, BaseConnector
 import time
@@ -15,6 +14,13 @@ class YahooFinanceConnector(BaseConnector):
     _cache_interval: int = 600  # 10 minutes
 
     def __init__(self, stock_ticker, where=None, cache_interval: int = 600):
+        try:
+            import yfinance
+        except ImportError:
+            raise ImportError(
+                "Could not import yfinance python package. "
+                "Please install it with `pip install yfinance`."
+            )
         yahoo_finance_config = ConnectorConfig(
             dialect="yahoo_finance",
             username="",
@@ -27,6 +33,7 @@ def __init__(self, stock_ticker, where=None, cache_interval: int = 600):
         )
         self._cache_interval = cache_interval
         super().__init__(yahoo_finance_config)
+        self.ticker = yfinance.Ticker(self._config.table)
 
     def head(self):
         """
@@ -36,8 +43,7 @@ def head(self):
             DataFrameType: The head of the data source that the connector is
             connected to.
         """
-        ticker = yf.Ticker(self._config.table)
-        head_data = ticker.history(period="5d")
+        head_data = self.ticker.history(period="5d")
         return head_data
 
     def _get_cache_path(self, include_additional_filters: bool = False):
@@ -105,8 +111,7 @@ def execute(self):
             return pd.read_csv(cached_path)
 
         # Use yfinance to retrieve historical stock data
-        ticker = yf.Ticker(self._config.table)
-        stock_data = ticker.history(period="max")
+        stock_data = self.ticker.history(period="max")
 
         # Save the result to the cache
         stock_data.to_csv(self._get_cache_path(), index=False)
diff --git a/pyproject.toml b/pyproject.toml
index 666590bfa..efe0cdcf7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -16,6 +16,7 @@ openai = "^0.27.5"
 ipython = "^8.13.1"
 matplotlib = "^3.7.1"
 pydantic = "^1"
+sqlalchemy = "^2.0.19"
 google-generativeai = {version = "^0.1.0rc2", optional = true}
 google-cloud-aiplatform = {version = "^1.26.1", optional = true}
 langchain = {version = "^0.0.199", optional = true}
@@ -32,7 +33,6 @@ streamlit = {version = "^1.23.1", optional = true}
 beautifulsoup4 = { version = "^4.12.2", optional = true }
 text-generation = { version = ">=0.6.0", optional = true }
 openpyxl = { version = "^3.0.7", optional = true }
-sqlalchemy = { version = "^2.0.19", optional = true }
 pymysql = { version = "^1.1.0", optional = true }
 psycopg2 = { version = "^2.9.7", optional = true }
 yfinance = { version = "^0.2.28", optional = true }
@@ -51,7 +51,7 @@ coverage = "^7.2.7"
 google-cloud-aiplatform = "^1.26.1"
 
 [tool.poetry.extras]
-connectors = ["sqlalchemy", "pymysql", "psycopg2"]
+connectors = ["pymysql", "psycopg2"]
 google-ai = ["google-generativeai", "google-cloud-aiplatform"]
 google-sheets = ["beautifulsoup4"]
 excel = ["openpyxl"]