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fix: Use os.environ[] instead of .get() for DATABASE_URL
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Fixes Pylance type error - create_engine() expects str, not str | None.
Using direct access raises KeyError if not set, which is correct behavior.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
Leo Miranda
2026-01-18 23:03:23 -05:00
parent 546ee1cc92
commit 92763a17c4
15 changed files with 15 additions and 15 deletions
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2
notebooks/amenities/amenity_index_choropleth.ipynb
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@@ -38,7 +38,7 @@
"# Load .env from project root\n", "# Load .env from project root\n",
"load_dotenv('../../.env')\n", "load_dotenv('../../.env')\n",
"\n", "\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n", "engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n", "\n",
"query = \"\"\"\n", "query = \"\"\"\n",
"SELECT\n", "SELECT\n",

2
notebooks/amenities/amenity_radar.ipynb
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@@ -29,7 +29,7 @@
"execution_count": null, "execution_count": null,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": "import pandas as pd\nfrom sqlalchemy import create_engine\nfrom dotenv import load_dotenv\nimport os\n\n# Load .env from project root\nload_dotenv('../../.env')\n\nengine = create_engine(os.environ.get('DATABASE_URL'))\n\nquery = \"\"\"\nSELECT\n neighbourhood_name,\n parks_index,\n schools_index,\n transit_index,\n amenity_index,\n amenity_tier\nFROM public_marts.mart_neighbourhood_amenities\nWHERE year = (SELECT MAX(year) FROM public_marts.mart_neighbourhood_amenities)\nORDER BY amenity_index DESC\n\"\"\"\n\ndf = pd.read_sql(query, engine)\nprint(f\"Loaded {len(df)} neighbourhoods\")" "source": "import pandas as pd\nfrom sqlalchemy import create_engine\nfrom dotenv import load_dotenv\nimport os\n\n# Load .env from project root\nload_dotenv('../../.env')\n\nengine = create_engine(os.environ['DATABASE_URL'])\n\nquery = \"\"\"\nSELECT\n neighbourhood_name,\n parks_index,\n schools_index,\n transit_index,\n amenity_index,\n amenity_tier\nFROM public_marts.mart_neighbourhood_amenities\nWHERE year = (SELECT MAX(year) FROM public_marts.mart_neighbourhood_amenities)\nORDER BY amenity_index DESC\n\"\"\"\n\ndf = pd.read_sql(query, engine)\nprint(f\"Loaded {len(df)} neighbourhoods\")"
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",

2
notebooks/amenities/transit_accessibility_bar.ipynb
View File

@@ -38,7 +38,7 @@
"# Load .env from project root\n", "# Load .env from project root\n",
"load_dotenv('../../.env')\n", "load_dotenv('../../.env')\n",
"\n", "\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n", "engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n", "\n",
"query = \"\"\"\n", "query = \"\"\"\n",
"SELECT\n", "SELECT\n",

2
notebooks/demographics/age_distribution.ipynb
View File

@@ -38,7 +38,7 @@
"# Load .env from project root\n", "# Load .env from project root\n",
"load_dotenv('../../.env')\n", "load_dotenv('../../.env')\n",
"\n", "\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n", "engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n", "\n",
"query = \"\"\"\n", "query = \"\"\"\n",
"SELECT\n", "SELECT\n",

2
notebooks/demographics/income_choropleth.ipynb
View File

@@ -38,7 +38,7 @@
"# Load .env from project root\n", "# Load .env from project root\n",
"load_dotenv('../../.env')\n", "load_dotenv('../../.env')\n",
"\n", "\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n", "engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n", "\n",
"query = \"\"\"\n", "query = \"\"\"\n",
"SELECT\n", "SELECT\n",

2
notebooks/demographics/population_density_bar.ipynb
View File

@@ -38,7 +38,7 @@
"# Load .env from project root\n", "# Load .env from project root\n",
"load_dotenv('../../.env')\n", "load_dotenv('../../.env')\n",
"\n", "\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n", "engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n", "\n",
"query = \"\"\"\n", "query = \"\"\"\n",
"SELECT\n", "SELECT\n",

2
notebooks/housing/affordability_choropleth.ipynb
View File

@@ -38,7 +38,7 @@
"# Load .env from project root\n", "# Load .env from project root\n",
"load_dotenv('../../.env')\n", "load_dotenv('../../.env')\n",
"\n", "\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n", "engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n", "\n",
"query = \"\"\"\n", "query = \"\"\"\n",
"SELECT\n", "SELECT\n",

2
notebooks/housing/rent_trend_line.ipynb
View File

@@ -38,7 +38,7 @@
"# Load .env from project root\n", "# Load .env from project root\n",
"load_dotenv('../../.env')\n", "load_dotenv('../../.env')\n",
"\n", "\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n", "engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n", "\n",
"# City-wide average rent by year\n", "# City-wide average rent by year\n",
"query = \"\"\"\n", "query = \"\"\"\n",

2
notebooks/housing/tenure_breakdown_bar.ipynb
View File

@@ -38,7 +38,7 @@
"# Load .env from project root\n", "# Load .env from project root\n",
"load_dotenv('../../.env')\n", "load_dotenv('../../.env')\n",
"\n", "\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n", "engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n", "\n",
"query = \"\"\"\n", "query = \"\"\"\n",
"SELECT\n", "SELECT\n",

2
notebooks/overview/income_safety_scatter.ipynb
View File

@@ -38,7 +38,7 @@
"# Load .env from project root\n", "# Load .env from project root\n",
"load_dotenv('../../.env')\n", "load_dotenv('../../.env')\n",
"\n", "\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n", "engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n", "\n",
"query = \"\"\"\n", "query = \"\"\"\n",
"SELECT\n", "SELECT\n",

2
notebooks/overview/livability_choropleth.ipynb
View File

@@ -29,7 +29,7 @@
"execution_count": null, "execution_count": null,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": "import pandas as pd\nfrom sqlalchemy import create_engine\nfrom dotenv import load_dotenv\nimport os\n\n# Load .env from project root\nload_dotenv('../../.env')\n\nengine = create_engine(os.environ.get('DATABASE_URL'))\n\nquery = \"\"\"\nSELECT\n neighbourhood_id,\n neighbourhood_name,\n geometry,\n year,\n livability_score,\n safety_score,\n affordability_score,\n amenity_score,\n population,\n median_household_income\nFROM public_marts.mart_neighbourhood_overview\nWHERE year = (SELECT MAX(year) FROM public_marts.mart_neighbourhood_overview)\nORDER BY livability_score DESC\n\"\"\"\n\ndf = pd.read_sql(query, engine)\nprint(f\"Loaded {len(df)} neighbourhoods\")" "source": "import pandas as pd\nfrom sqlalchemy import create_engine\nfrom dotenv import load_dotenv\nimport os\n\n# Load .env from project root\nload_dotenv('../../.env')\n\nengine = create_engine(os.environ['DATABASE_URL'])\n\nquery = \"\"\"\nSELECT\n neighbourhood_id,\n neighbourhood_name,\n geometry,\n year,\n livability_score,\n safety_score,\n affordability_score,\n amenity_score,\n population,\n median_household_income\nFROM public_marts.mart_neighbourhood_overview\nWHERE year = (SELECT MAX(year) FROM public_marts.mart_neighbourhood_overview)\nORDER BY livability_score DESC\n\"\"\"\n\ndf = pd.read_sql(query, engine)\nprint(f\"Loaded {len(df)} neighbourhoods\")"
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",

2
notebooks/overview/top_bottom_10_bar.ipynb
View File

@@ -38,7 +38,7 @@
"# Load .env from project root\n", "# Load .env from project root\n",
"load_dotenv('../../.env')\n", "load_dotenv('../../.env')\n",
"\n", "\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n", "engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n", "\n",
"query = \"\"\"\n", "query = \"\"\"\n",
"SELECT\n", "SELECT\n",

2
notebooks/safety/crime_breakdown_bar.ipynb
View File

@@ -38,7 +38,7 @@
"# Load .env from project root\n", "# Load .env from project root\n",
"load_dotenv('../../.env')\n", "load_dotenv('../../.env')\n",
"\n", "\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n", "engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n", "\n",
"query = \"\"\"\n", "query = \"\"\"\n",
"SELECT\n", "SELECT\n",

2
notebooks/safety/crime_rate_choropleth.ipynb
View File

@@ -38,7 +38,7 @@
"# Load .env from project root\n", "# Load .env from project root\n",
"load_dotenv('../../.env')\n", "load_dotenv('../../.env')\n",
"\n", "\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n", "engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n", "\n",
"query = \"\"\"\n", "query = \"\"\"\n",
"SELECT\n", "SELECT\n",

2
notebooks/safety/crime_trend_line.ipynb
View File

@@ -38,7 +38,7 @@
"# Load .env from project root\n", "# Load .env from project root\n",
"load_dotenv('../../.env')\n", "load_dotenv('../../.env')\n",
"\n", "\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n", "engine = create_engine(os.environ['DATABASE_URL'])\n",
"\n", "\n",
"query = \"\"\"\n", "query = \"\"\"\n",
"SELECT\n", "SELECT\n",