add terraform iac integration

.gitignore

@@ -20,3 +20,8 @@ __pycache__
 # Native App
 
 app/output/
+
+# Terraform
+.terraform/
+.terraform.lock.hcl
+terraform.tfstate

terraform/main.tf

@@ -0,0 +1,99 @@
+terraform {
+  required_providers {
+    snowflake = {
+      source  = "snowflakedb/snowflake"
+      version = ">= 1.0.0"
+    }
+  }
+}
+
+provider "snowflake" {
+  organization_name = "test"
+  account_name  = "test"
+  user     = "test"
+  password = "test"
+  role     = "test"
+  host     = "snowflake.localhost.localstack.cloud"
+  port = "4566"
+}
+
+# Create the factory pipeline database
+resource "snowflake_database" "factory_pipeline_demo" {
+  name                        = "FACTORY_PIPELINE_DEMO"
+  comment                     = "Factory pipeline demo database"
+  data_retention_time_in_days = 3
+}
+
+# Create the public schema
+resource "snowflake_schema" "public" {
+  database            = snowflake_database.factory_pipeline_demo.name
+  name                = "PUBLIC"
+  comment             = "Public schema for factory pipeline demo"
+  with_managed_access = false
+}
+
+# Create the raw sensor data table
+resource "snowflake_table" "raw_sensor_data" {
+  database = snowflake_database.factory_pipeline_demo.name
+  schema   = snowflake_schema.public.name
+  name     = "RAW_SENSOR_DATA"
+  comment  = "Raw sensor data from factory machines"
+  column {
+    name = "machine_id"
+    type = "VARCHAR(50)"
+  }
+  column {
+    name = "timestamp"
+    type = "TIMESTAMP_NTZ"
+  }
+  column {
+    name = "temperature"
+    type = "FLOAT"
+  }
+  column {
+    name = "vibration"
+    type = "FLOAT"
+  }
+  column {
+    name = "pressure"
+    type = "FLOAT"
+  }
+  column {
+    name = "status_code"
+    type = "VARCHAR(10)"
+  }
+}
+
+# Create CSV file format
+resource "snowflake_file_format" "csv_format" {
+  database = snowflake_database.factory_pipeline_demo.name
+  schema   = snowflake_schema.public.name
+  name     = "csv_format"
+  format_type = "CSV"
+  field_delimiter = ","
+  skip_header = 1
+  null_if = ["NULL", "null"]
+  empty_field_as_null = true
+  comment = "CSV file format for sensor data ingestion"
+}
+
+# Create S3 stage for sensor data
+resource "snowflake_stage" "sensor_data_stage" {
+  database = snowflake_database.factory_pipeline_demo.name
+  schema   = snowflake_schema.public.name
+  name     = "sensor_data_stage"
+  url = "s3://factory-sensor-data-local/raw_data/"
+  credentials = "AWS_KEY_ID='test' AWS_SECRET_KEY='test'"
+  file_format = "DATABASE=${snowflake_database.factory_pipeline_demo.name}.SCHEMA=${snowflake_schema.public.name}.${snowflake_file_format.csv_format.name}"
+  comment = "S3 stage for factory sensor data files"
+}
+
+# Create Snowpipe for automated ingestion
+resource "snowflake_pipe" "sensor_data_pipe" {
+  database = snowflake_database.factory_pipeline_demo.name
+  schema   = snowflake_schema.public.name
+  name     = "sensor_data_pipe"
+  copy_statement = "COPY INTO ${snowflake_database.factory_pipeline_demo.name}.${snowflake_schema.public.name}.${snowflake_table.raw_sensor_data.name} FROM @${snowflake_stage.sensor_data_stage.name} PATTERN='.*[.]csv' ON_ERROR = 'CONTINUE'"
+  auto_ingest = true
+  comment = "Automated pipe for ingesting sensor data from S3"
+}