From 52d3e870d22ad16fcb7c129945b5a9c172110b41 Mon Sep 17 00:00:00 2001
From: "@gabriel.pereira" <gabriel.pereira@siemens.com>
Date: Fri, 11 Sep 2026 11:53:37 -0300
Subject: [PATCH] docs: simplify anonymized examples

Use clean generic names instead of repeated redaction placeholders.\n\nCo-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---
 cortex_governance_config.yaml | 20 ++++++++++----------
 marts_quotes.sql              | 30 ++++++++++++++----------------
 2 files changed, 24 insertions(+), 26 deletions(-)

diff --git a/cortex_governance_config.yaml b/cortex_governance_config.yaml
index 84cb9c2..ee2ace8 100644
--- a/cortex_governance_config.yaml
+++ b/cortex_governance_config.yaml
@@ -22,20 +22,20 @@ cortex_policies:
   
   # Access control: Who can query this semantic model
   access_control:
-    default_role: "[REDACTED: SNOWFLAKE_ROLE]"
+    default_role: "quotation_analytics_user"
     authorized_teams:
       - name: "sales_team"
-        snowflake_role: "[REDACTED: SALES_ROLE]"
+        snowflake_role: "quotation_sales_user"
         tables: ["sv_quotation", "sv_chatbot_quotation"]
         max_rows_returned: 100000
       
       - name: "operations_team"
-        snowflake_role: "[REDACTED: OPS_ROLE]"
+        snowflake_role: "quotation_operations_user"
         tables: ["sv_quotation", "sv_chatbot_quotation"]
         max_rows_returned: 500000
       
       - name: "cortex_agent"
-        snowflake_role: "[REDACTED: CORTEX_AGENT_ROLE]"
+        snowflake_role: "quotation_cortex_agent"
         tables: ["sv_chatbot_quotation"]
         max_rows_returned: 1000
         allowed_functions: ["semantic_search", "similarity_score"]
@@ -59,7 +59,7 @@ cortex_policies:
       description: "Mask actual customer names in chatbot responses"
       pattern: "customer_name|cliente_nome"
       action: "mask_value"
-      replacement: "[REDACTED: Customer Information]"
+      replacement: "[Customer information protected]"
       exception: "Sales team in authorized_teams can see unmasked values"
     
     - rule: "pii_scrubbing"
@@ -97,7 +97,7 @@ cortex_policies:
   
   # Cost controls: Prevent runaway LLM usage
   cost_controls:
-    monthly_budget_usd: "[REDACTED: BUDGET]"
+    monthly_budget_usd: "configured in the deployment environment"
     alert_threshold_pct: 80
     per_query_max_tokens: 2000
     max_concurrent_queries: 10
@@ -121,9 +121,9 @@ semantic_model_lineage:
   description: "How quotation data flows through transformations"
   stages:
     1_source:
-      system: "[REDACTED: SAP_SYSTEM]"
+      system: "enterprise_erp_source"
       frequency: "Daily batch 05:00 UTC"
-      tables: ["[REDACTED: SOURCE_QUOTE_TABLE]", "[REDACTED: SOURCE_DISCOUNT_TABLE]"]
+      tables: ["source_quotes", "source_discount_conditions"]
     
     2_staging:
       schema: "STAGING"
@@ -142,8 +142,8 @@ semantic_model_lineage:
     
     5_cortex_consumption:
       interface_1: "Snowflake Native App (BI)"
-      interface_2: "[REDACTED: SIEMENS_WORKSPACE]"
-      llm_model: "[REDACTED: LLM_VERSION]"
+      interface_2: "internal_chatbot_workspace"
+      llm_model: "managed_cortex_model"
       prompt_template: |
         You are a sales support assistant. Answer quote questions using only
         the data provided. If discount exceeds policy, flag for human review.
diff --git a/marts_quotes.sql b/marts_quotes.sql
index 1e709c0..d95f55d 100644
--- a/marts_quotes.sql
+++ b/marts_quotes.sql
@@ -9,17 +9,17 @@
 
 with source_quotes as (
     select
-        [REDACTED: quote_id column],
-        [REDACTED: line_item column],
-        [REDACTED: customer_id column],
-        [REDACTED: material_id column],
-        [REDACTED: quantity column],
-        [REDACTED: net_value column],
-        [REDACTED: quote_date column],
-        [REDACTED: sales_person_id column],
-        [REDACTED: source_timestamp column]
-    from [REDACTED: SOURCE_SCHEMA].[REDACTED: QUOTE_TABLE]
-    where [REDACTED: date_partition] >= dateadd(day, -1, current_date())
+        quote_id,
+        line_item,
+        customer_id,
+        material_id,
+        quantity,
+        net_value,
+        quote_date,
+        sales_person_id,
+        source_timestamp
+    from source_quotes
+    where quote_date >= dateadd(day, -1, current_date())
 ),
 
 enrich_product_portfolio as (
@@ -34,9 +34,9 @@ enrich_product_portfolio as (
         sq.sales_person_id,
         /* Product portfolio classification */
         case
-            when sq.material_id like '[REDACTED: pattern 1]%' then 'data-integration'
-            when sq.material_id like '[REDACTED: pattern 2]%' then 'automation'
-            when sq.material_id like '[REDACTED: pattern 3]%' then 'connectivity'
+            when sq.material_id like 'DI-%' then 'data-integration'
+            when sq.material_id like 'AU-%' then 'automation'
+            when sq.material_id like 'CO-%' then 'connectivity'
             else 'other'
         end as portfolio_code,
         pm.portfolio_name,
@@ -109,5 +109,3 @@ select
     sales_person_id,
     current_timestamp() as dbt_loaded_at
 from governance_flags
-
--- ponytail: materialized as table for chatbot + BI queries (not incremental yet; append-only refresh if needed later)