Let me help you understand where we are with the database creation and provide a clear documentation of our progress.
First, let’s check if we have actually created a database:
# Check if database existssqlite3 D:/Projects/LegalTextAnalysis/data/legal_text.db ".databases"# List any tables if they existsqlite3 D:/Projects/LegalTextAnalysis/data/legal_text.db ".tables"
You’re right - we need to first create the database before defining its structure. Let me create a markdown file documenting our setup process:
# Legal Text Analysis Database Setup*Project Documentation - Database Structure and Setup*
## Initial Database CreationBefore creating tables, we must first create our SQLite database:
```sql-- Create new SQLite databasesqlite3 D:/Projects/LegalTextAnalysis/data/legal_text.db
Our database is designed to support legal text analysis with three main tables:
Stores the raw case data and basic metrics:
CREATE TABLE legal_cases (
case_id TEXT PRIMARY KEY,
case_outcome TEXT,
case_title TEXT,
case_text TEXT,
text_length INTEGER,
word_count INTEGER,
citation_count INTEGER,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP);
Stores advanced text analysis measurements:
CREATE TABLE text_metrics (
case_id TEXT PRIMARY KEY,
sentence_count INTEGER,
citation_density REAL,
sentence_complexity REAL,
length_category TEXT,
FOREIGN KEY (case_id) REFERENCES legal_cases(case_id)
);
Stores term frequency-inverse document frequency analysis results:
CREATE TABLE tfidf_scores (
case_id TEXT,
term TEXT,
score REAL,
term_category TEXT, -- 'high' or 'low' significance PRIMARY KEY (case_id, term),
FOREIGN KEY (case_id) REFERENCES legal_cases(case_id)
);
Indices for improved query performance:
CREATE INDEX idx_case_outcome ON legal_cases(case_outcome);
CREATE INDEX idx_text_length ON legal_cases(text_length);
CREATE INDEX idx_term_scores ON tfidf_scores(score);