Basic sql and linting

.pre-commit-config.yaml

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+repos:
+  - repo: https://github.com/sqlfluff/sqlfluff
+    rev: 3.0.7 # Use the latest stable version
+    hooks:
+      - id: sqlfluff-lint
+        args: [--dialect, postgres]
+        # Only run on files in the db/ directory ending in .sql
+        files: ^collector/db/.*\.sql$

collector/db/Dockerfile

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+FROM postgres:16-alpine
+
+# Test variables - do not use these in real builds >:(
+ENV POSTGRES_DB=collector_db
+ENV POSTGRES_USER=collector_user
+ENV POSTGRES_PASSWORD=collector_dev_sample123
+
+
+COPY init.sql /docker-entrypoint-initdb.d/
+

collector/db/init.sql

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+\i stores.sql;
+\i products.sql;

collector/db/items.sql

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+-- Modeling the products
+CREATE TABLE products (
+    -- Internal product ID
+    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+
+    -- Store-specific Identifiers
+    business_id UUID REFERENCES businesses (id) NOT NULL,
+
+    -- Product Details
+    product_name VARCHAR(255) NOT NULL,
+    product_type VARCHAR(100), -- e.g., 'service', 'goods'
+
+    -- Pricing (Numeric is preferred over Float for money)
+    -- Also tracking in USD at the time
+    price NUMERIC(12, 2) NOT NULL,
+    currency VARCHAR(100) NOT NULL,
+
+    -- Also tracking the price per unit
+    unit_type VARCHAR(100) NOT NULL, -- e.g. 'item', 'weight', 'hour', etc.
+
+    -- Tracking time that we checked
+    track_time TIMESTAMPTZ DEFAULT current_timestamp
+);

collector/db/lint.sh

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+#!/bin/bash
+
+
+set -e
+
+sqlfluff lint --dialect postgres *.sql

collector/db/readme.md

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+# Collecter DB
+
+
+Here we are setting up the schemas for housing all the data
+regarding the stuff we track.

collector/db/stores.sql

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+-- Modeling the stores that we track overall
+
+CREATE TABLE businesses (
+    store_id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+    store_name VARCHAR(255) NOT NULL
+);

readme.md

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+# Cash Tracker
+
+
+This project is a special personal graphing service thing that I personally use
+to scrape and track the prices of real things that people actually buy in stores
+and around town.
+
+# Why?
+
+There are tons of tools to track the prices of securities, commodities, bonds,
+options, stocks, futures, assets, and tons of other finnancial products/services
+but for the layperson this is all greek. This project aims to track things that
+they would see in a store so they could say "huh `some food` at 
+`my favorite grocery store` went up/down by `some_amount` in the last `time interval`.
+
+