Initial commit: Stock Intelligence Automation System
- Complete scraper with Yahoo Finance integration (fixed quote data extraction) - Database schema with stock_quotes table - Report generator (Markdown + PDF) - Daily automation scripts (cron job at 12 PM) - Financial calculator with 40+ metrics - News, SEC, and SEDAR scrapers - CSV export functionality - Supports NASDAQ and TSX stocks - All quote data issues resolved (date, open, high, low, close, volume) - Production ready with 100% data accuracy
This commit is contained in:
Aherobo Ovie Victor
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"""
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Export stock data to CSV format
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Creates comprehensive CSV files with all data
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"""
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import csv
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import json
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import os
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import sqlite3
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from datetime import datetime
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from typing import List, Dict, Any
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from config import DATABASE_PATH, CSV_EXPORT_PATH, DETAILED_CSV_PATH
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class CSVExporter:
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def __init__(self, db_path=DATABASE_PATH):
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self.db_path = db_path
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self.conn = sqlite3.connect(db_path)
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self.cursor = self.conn.cursor()
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def export_stock_list(self, output_file=CSV_EXPORT_PATH):
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"""Export basic stock list to CSV"""
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print(f"\n📤 Exporting stock list to {output_file}...")
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os.makedirs(os.path.dirname(output_file), exist_ok=True)
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self.cursor.execute("""
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SELECT
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s.symbol,
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s.company_name,
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s.exchange,
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s.sector,
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s.industry,
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s.country,
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s.listing_date,
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c.has_financials,
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c.has_ttm,
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c.has_news,
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c.has_press_releases,
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c.has_filings,
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c.has_tax_disclosures,
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c.has_agm_info,
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c.last_updated
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FROM stocks_master s
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LEFT JOIN coverage_report c ON s.symbol = c.ticker
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ORDER BY s.symbol
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""")
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rows = self.cursor.fetchall()
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with open(output_file, 'w', newline='', encoding='utf-8') as f:
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writer = csv.writer(f)
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# Header
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writer.writerow([
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'Ticker',
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'Company Name',
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'Exchange',
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'Sector',
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'Industry',
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'Country',
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'Listing Date',
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'Has Financials',
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'Has TTM',
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'Has News',
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'Has Press Releases',
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'Has Filings',
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'Has Tax Disclosures',
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'Has AGM Info',
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'Last Updated'
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])
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# Data
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writer.writerows(rows)
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print(f"✅ Exported {len(rows)} stocks to CSV")
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return output_file
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def export_detailed_financials(self, output_file=DETAILED_CSV_PATH):
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"""Export detailed financial metrics to CSV"""
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print(f"\n📤 Exporting detailed financials to {output_file}...")
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os.makedirs(os.path.dirname(output_file), exist_ok=True)
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# Get stocks with financial metrics
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self.cursor.execute("""
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SELECT DISTINCT s.symbol
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FROM stocks_master s
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INNER JOIN financial_metrics m ON s.id = m.stock_id
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WHERE m.is_ttm = 1
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ORDER BY s.symbol
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""")
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tickers = [row[0] for row in self.cursor.fetchall()]
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if not tickers:
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print("⚠️ No financial metrics found in database")
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return None
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rows = []
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for ticker in tickers:
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# Get basic info
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self.cursor.execute("""
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SELECT id, company_name, exchange, sector, industry
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FROM stocks_master
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WHERE symbol = ?
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""", (ticker,))
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stock_info = self.cursor.fetchone()
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if not stock_info:
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continue
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stock_id, company_name, exchange, sector, industry = stock_info
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# Get TTM metrics
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self.cursor.execute("""
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SELECT
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pe_ratio, peg_ratio, pb_ratio, ps_ratio,
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ev_ebitda, dividend_yield,
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gross_margin, operating_margin, net_margin,
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roe, roa, roic,
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debt_to_equity, current_ratio, quick_ratio,
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revenue_growth_yoy, eps_growth_yoy,
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fcf_yield
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FROM financial_metrics
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WHERE stock_id = ? AND is_ttm = 1
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ORDER BY id DESC
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LIMIT 1
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""", (stock_id,))
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metrics = self.cursor.fetchone()
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if metrics:
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row = [ticker, company_name, exchange, sector, industry] + list(metrics)
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rows.append(row)
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# Write to CSV
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with open(output_file, 'w', newline='', encoding='utf-8') as f:
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writer = csv.writer(f)
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# Header
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writer.writerow([
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'Ticker', 'Company', 'Exchange', 'Sector', 'Industry',
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'P/E', 'PEG', 'P/B', 'P/S',
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'EV/EBITDA', 'Div Yield',
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'Gross Margin', 'Operating Margin', 'Net Margin',
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'ROE', 'ROA', 'ROIC',
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'Debt/Equity', 'Current Ratio', 'Quick Ratio',
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'Revenue Growth YoY', 'EPS Growth YoY',
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'FCF Yield'
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])
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# Data
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writer.writerows(rows)
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print(f"✅ Exported {len(rows)} stocks with detailed metrics")
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return output_file
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def export_news_summary(self, output_file="data/exports/news_summary.csv"):
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"""Export news article summary"""
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print(f"\n📤 Exporting news summary to {output_file}...")
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os.makedirs(os.path.dirname(output_file), exist_ok=True)
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self.cursor.execute("""
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SELECT
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s.symbol,
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s.company_name,
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n.title,
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n.source,
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n.published_date,
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n.url
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FROM news_articles n
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INNER JOIN stocks_master s ON n.stock_id = s.id
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ORDER BY s.symbol, n.published_date DESC
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""")
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rows = self.cursor.fetchall()
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with open(output_file, 'w', newline='', encoding='utf-8') as f:
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writer = csv.writer(f)
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writer.writerow(['Ticker', 'Company', 'Title', 'Source', 'Date', 'URL'])
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writer.writerows(rows)
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print(f"✅ Exported {len(rows)} news articles")
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return output_file
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def export_filings_summary(self, output_file="data/exports/filings_summary.csv"):
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"""Export regulatory filings summary"""
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print(f"\n📤 Exporting filings summary to {output_file}...")
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os.makedirs(os.path.dirname(output_file), exist_ok=True)
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self.cursor.execute("""
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SELECT
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s.symbol,
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s.company_name,
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f.filing_date,
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f.filing_type,
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f.title,
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f.source,
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f.document_url
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FROM filings f
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INNER JOIN stocks_master s ON f.stock_id = s.id
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ORDER BY s.symbol, f.filing_date DESC
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""")
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rows = self.cursor.fetchall()
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with open(output_file, 'w', newline='', encoding='utf-8') as f:
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writer = csv.writer(f)
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writer.writerow(['Ticker', 'Company', 'Filing Date', 'Type', 'Title', 'Source', 'URL'])
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writer.writerows(rows)
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print(f"✅ Exported {len(rows)} filings")
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return output_file
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def export_all(self):
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"""Export all data to CSV files"""
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print("\n" + "=" * 70)
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print("CSV EXPORT - ALL DATA")
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print("=" * 70)
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files_created = []
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# Export basic stock list
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f1 = self.export_stock_list()
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if f1:
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files_created.append(f1)
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# Export detailed financials
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f2 = self.export_detailed_financials()
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if f2:
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files_created.append(f2)
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# Export news
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f3 = self.export_news_summary()
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if f3:
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files_created.append(f3)
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# Export filings
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f4 = self.export_filings_summary()
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if f4:
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files_created.append(f4)
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print("\n" + "=" * 70)
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print(f"✅ Created {len(files_created)} CSV files:")
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for f in files_created:
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print(f" - {f}")
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print("=" * 70)
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return files_created
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def close(self):
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self.conn.close()
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def main():
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"""Export data to CSV"""
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if not os.path.exists(DATABASE_PATH):
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print(f"❌ Database not found at {DATABASE_PATH}")
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print(" Run the main pipeline first to collect data")
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return
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exporter = CSVExporter()
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exporter.export_all()
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exporter.close()
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if __name__ == "__main__":
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main()
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