Fix formatting inconsistencies in README, Terraform scripts, and example variables

.gitignore

@@ -9,3 +9,6 @@ tfplan*
 
 # VS Code
 .vscode/*
+
+# Python
+__pycache__/

README.md

@@ -1,4 +1,4 @@
-# Gemini Enterprise Agent Platform — Terraform Scaffold
+# Gemini Enterprise Agent Platform - Terraform Scaffold
 
 Provisions the infrastructure needed to use the Gemini Enterprise Agent Platform (Vertex AI Agent Engine) on an existing GCP project: required APIs, service accounts, and IAM bindings.
 
@@ -14,7 +14,7 @@ Provisions the infrastructure needed to use the Gemini Enterprise Agent Platform
 
 ```bash
 cp terraform.tfvars.example terraform.tfvars
-# edit terraform.tfvars — set your project_id
+# edit terraform.tfvars - set your project_id
 
 terraform init
 terraform plan
@@ -25,7 +25,7 @@ terraform apply
 
 | Name | Required | Default | Description |
 |---|---|---|---|
-| `project_id` | yes | — | Existing GCP project ID |
+| `project_id` | yes | - | Existing GCP project ID |
 | `prefix` | no | `gemini` | Short prefix applied to all resource names |
 
 ## Outputs
@@ -39,7 +39,7 @@ terraform apply
 ## What gets created
 
 - **7 GCP APIs** enabled (`aiplatform`, `cloudaicompanion`, `discoveryengine`, `dialogflow`, `secretmanager`, `iam`, `cloudresourcemanager`)
-- **2 service accounts** — one for app runtime, one for IDE enterprise config
+- **2 service accounts** - one for app runtime, one for IDE enterprise config
 - **4 project IAM bindings**
 
 ## Setting up credentials
@@ -51,7 +51,7 @@ gcloud auth application-default login
 gcloud config set project <your-project-id>
 ```
 
-For workloads running on GCP (Cloud Run, GKE, Compute Engine), attach the service account to the resource — no credentials file needed.
+For workloads running on GCP (Cloud Run, GKE, Compute Engine), attach the service account to the resource - no credentials file needed.
 
 ## Granting developer access to Gemini Code Assist
 
@@ -113,5 +113,5 @@ gcloud billing accounts list
 
 ## License
 
-[MIT](LICENSE) © 2026 Slawomir Koszewski
+[MIT](LICENSE) (c) 2026 Slawomir Koszewski
 

examples/generate_tfplan_report.py

@@ -196,16 +196,16 @@ def generate_report(
 Guidelines:
 - The list of changes above must be reproduced verbatim in the report under a "Planned Changes" section, preserving the grouping.
 - Focus exclusively on what is changing and whether it is expected.
-- Deletions and replacements are highest priority — analyse each one individually: why might it be deleted or replaced, and is that intentional?
+- Deletions and replacements are highest priority - analyse each one individually: why might it be deleted or replaced, and is that intentional?
 - For updates and creates, note anything surprising in scope or naming.
-- Do not include implementation advice — the plan is already the product of implementation.
+- Do not include implementation advice - the plan is already the product of implementation.
 - Do not pad with generic statements.
 
 Structure:
-1. **Change Summary** — one-paragraph overview of the overall scope
-2. **Planned Changes** — verbatim list from above
-3. **Deletions & Replacements Analysis** — only if any exist; individual analysis per resource
-4. **Scope Review** — does the set of changes look coherent and complete? flag anomalies"""
+1. **Change Summary** - one-paragraph overview of the overall scope
+2. **Planned Changes** - verbatim list from above
+3. **Deletions & Replacements Analysis** - only if any exist; individual analysis per resource
+4. **Scope Review** - does the set of changes look coherent and complete? flag anomalies"""
 
     system_instruction = "You are a senior infrastructure engineer reviewing a Terraform plan before it is applied. Your job is to identify whether the changes match the deployment intent and surface anything worth scrutinising."
 
@@ -214,11 +214,11 @@ Structure:
             from google import genai
             from google.genai import types
         except ImportError:
-            print("❌ Error: google-genai package is not installed. Please install it to use Gemini.", file=sys.stderr)
+            print("[ERROR] google-genai package is not installed. Please install it to use Gemini.", file=sys.stderr)
             sys.exit(1)
 
         if not gcp_project:
-            print("❌ Error: GCP project must be specified via --gcp-project or GOOGLE_CLOUD_PROJECT environment variable for Gemini.", file=sys.stderr)
+            print("[ERROR] GCP project must be specified via --gcp-project or GOOGLE_CLOUD_PROJECT environment variable for Gemini.", file=sys.stderr)
             sys.exit(1)
 
         client = genai.Client(vertexai=True, project=gcp_project, location=gcp_location)
@@ -339,36 +339,36 @@ def main():
         plan_file = Path.cwd() / plan_file
     
     if not plan_file.exists():
-        print(f"❌ Error: {plan_file} not found", file=sys.stderr)
+        print(f"[ERROR] {plan_file} not found", file=sys.stderr)
         sys.exit(1)
     
-    print(f"📋 Loading plan from {plan_file}...", file=sys.stderr)
+    print(f"[INFO] Loading plan from {plan_file}...", file=sys.stderr)
     plan = load_plan(plan_file)
 
-    print("🔍 Extracting resource changes...", file=sys.stderr)
+    print("[INFO] Extracting resource changes...", file=sys.stderr)
     categorised = extract_resource_changes(plan)
     total = sum(len(v) for v in categorised.values())
 
     if not categorised:
-        print("⚠️  No resource changes found in the plan", file=sys.stderr)
+        print("[WARN] No resource changes found in the plan", file=sys.stderr)
         sys.exit(1)
 
     for action in ACTION_ORDER:
         count = len(categorised.get(action, []))
         if count:
             print(f"   {ACTION_LABELS[action]}: {count}", file=sys.stderr)
-    print(f"✅ Total changes: {total}", file=sys.stderr)
+    print(f"[OK] Total changes: {total}", file=sys.stderr)
 
     # Generate report
     if args.ai:
         if args.gemini:
             if args.model == MODEL_DEFAULT:
                 args.model = "gemini-2.5-flash"
-            print(f"🚀 Generating AI report with Gemini ({args.model})...", file=sys.stderr)
+            print(f"[INFO] Generating AI report with Gemini ({args.model})...", file=sys.stderr)
         elif args.azure_endpoint:
-            print(f"🚀 Generating AI report with Azure OpenAI ({args.model})...", file=sys.stderr)
+            print(f"[INFO] Generating AI report with Azure OpenAI ({args.model})...", file=sys.stderr)
         else:
-            print(f"🚀 Generating AI report with OpenAI endpoint ({args.model})...", file=sys.stderr)
+            print(f"[INFO] Generating AI report with OpenAI endpoint ({args.model})...", file=sys.stderr)
             
         report_start = time.time()
         report = generate_report(
@@ -384,9 +384,9 @@ def main():
             args.gcp_location
         )
         report_elapsed = time.time() - report_start
-        print(f"   ✓ Completed in {report_elapsed:.2f}s", file=sys.stderr)
+        print(f"   [OK] Completed in {report_elapsed:.2f}s", file=sys.stderr)
     else:
-        print("📄 Generating plain report...", file=sys.stderr)
+        print("[INFO] Generating plain report...", file=sys.stderr)
         report = generate_plain_report(categorised, plan)
     
     # Determine output filename
@@ -402,12 +402,12 @@ def main():
     with open(output_file, "w") as f:
         f.write(report)
     
-    print(f"📄 Report written to {output_file}", file=sys.stderr)
+    print(f"[INFO] Report written to {output_file}", file=sys.stderr)
 
 
 if __name__ == "__main__":
     try:
         main()
     except KeyboardInterrupt:
-        print("\n⚠️  Interrupted by user", file=sys.stderr)
+        print("\n[WARN] Interrupted by user", file=sys.stderr)
         sys.exit(1)

main.tf

@@ -1,6 +1,6 @@
-# ─────────────────────────────────────────────
+# ---------------------------------------------
 # 1. API Enablement
-# ─────────────────────────────────────────────
+# ---------------------------------------------
 
 locals {
   apis = toset([
@@ -24,9 +24,9 @@ resource "google_project_service" "apis" {
   disable_dependent_services = false
 }
 
-# ─────────────────────────────────────────────
+# ---------------------------------------------
 # 2. Service Accounts
-# ─────────────────────────────────────────────
+# ---------------------------------------------
 
 resource "google_service_account" "agent_sa" {
   project      = var.project_id
@@ -46,9 +46,9 @@ resource "google_service_account" "code_assist_sa" {
   depends_on = [google_project_service.apis]
 }
 
-# ─────────────────────────────────────────────
+# ---------------------------------------------
 # 3. Project-level IAM Bindings (additive)
-# ─────────────────────────────────────────────
+# ---------------------------------------------
 
 resource "google_project_iam_member" "agent_sa_aiplatform_user" {
   project = var.project_id

terraform.tfvars.example

@@ -1,5 +1,5 @@
 # Copy this file to terraform.tfvars and fill in your values.
 # terraform.tfvars is excluded from git (see .gitignore).
 
-project_id = "your-gcp-project-id"  # required — your existing GCP project
+project_id = "your-gcp-project-id"  # required - your existing GCP project
 prefix     = "gemini"               # optional, default: gemini