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fix: Update all notebooks to load .env for database credentials
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All 15 notebooks now use load_dotenv('../../.env') instead of
hardcoded fallback credentials.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
Leo Miranda
2026-01-18 22:31:07 -05:00
parent c3de98c4a5
commit 28f239e8cd
14 changed files with 79 additions and 54 deletions
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8
notebooks/overview/income_safety_scatter.ipynb
View File

@@ -19,7 +19,7 @@
"\n",
"| Table | Grain | Key Columns |\n",
"|-------|-------|-------------|\n",
"| `mart_neighbourhood_overview` | neighbourhood × year | neighbourhood_name, median_household_income, safety_score, population |\n",
"| `mart_neighbourhood_overview` | neighbourhood \u00d7 year | neighbourhood_name, median_household_income, safety_score, population |\n",
"\n",
"### SQL Query"
]
@@ -32,9 +32,13 @@
"source": [
"import pandas as pd\n",
"from sqlalchemy import create_engine\n",
"from dotenv import load_dotenv\n",
"import os\n",
"\n",
"engine = create_engine(os.environ.get('DATABASE_URL', 'postgresql://portfolio:portfolio@localhost:5432/portfolio'))\n",
"# Load .env from project root\n",
"load_dotenv('../../.env')\n",
"\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n",
"\n",
"query = \"\"\"\n",
"SELECT\n",

29
notebooks/overview/livability_choropleth.ipynb
View File

@@ -29,34 +29,7 @@
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"from sqlalchemy import create_engine\n",
"import os\n",
"\n",
"# Connect to database\n",
"engine = create_engine(os.environ.get('DATABASE_URL', 'postgresql://portfolio:portfolio@localhost:5432/portfolio'))\n",
"\n",
"query = \"\"\"\n",
"SELECT\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\n",
"FROM public_marts.mart_neighbourhood_overview\n",
"WHERE year = (SELECT MAX(year) FROM public_marts.mart_neighbourhood_overview)\n",
"ORDER BY livability_score DESC\n",
"\"\"\"\n",
"\n",
"df = pd.read_sql(query, engine)\n",
"print(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.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\")"
},
{
"cell_type": "markdown",

8
notebooks/overview/top_bottom_10_bar.ipynb
View File

@@ -19,7 +19,7 @@
"\n",
"| Table | Grain | Key Columns |\n",
"|-------|-------|-------------|\n",
"| `mart_neighbourhood_overview` | neighbourhood × year | neighbourhood_name, livability_score |\n",
"| `mart_neighbourhood_overview` | neighbourhood \u00d7 year | neighbourhood_name, livability_score |\n",
"\n",
"### SQL Query"
]
@@ -32,9 +32,13 @@
"source": [
"import pandas as pd\n",
"from sqlalchemy import create_engine\n",
"from dotenv import load_dotenv\n",
"import os\n",
"\n",
"engine = create_engine(os.environ.get('DATABASE_URL', 'postgresql://portfolio:portfolio@localhost:5432/portfolio'))\n",
"# Load .env from project root\n",
"load_dotenv('../../.env')\n",
"\n",
"engine = create_engine(os.environ.get('DATABASE_URL'))\n",
"\n",
"query = \"\"\"\n",
"SELECT\n",