[pull] main from ERPGulf:main

changai/changai/api/v2/assets/metaschema_clean_v2.json

@@ -2975,6 +2975,7 @@
     "language": "TEXT",
     "customer_details": "TEXT",
     "customer_home_address_test": "TEXT",
+    "test_field": "TEXT",
     "customer_primary_address": "TEXT",
     "primary_address": "TEXT",
     "customer_primary_contact": "TEXT",

changai/changai/api/v2/auto_gen_api.py

@@ -587,10 +587,6 @@ def fill_missing_field_descriptions(
 
     meta["last_desc_sync"] = str(now_datetime())
     _save_schema_checkpoint(meta, tables_blocks)
-    # Commit checkpoint immediately so schema sync metadata is persisted
-    # even if later background processing fails.
-    frappe.db.commit()  # nosemgrep: frappe-semgrep-rules.rules.frappe-manual-commit
-
     return {
         "ok": True,
         "tables_updated": updated_tables,
@@ -658,8 +654,6 @@ def sync_tables_and_schema_smart() -> Dict[str, Any]:
     except Exception as e:
         return {"ok": False, "error": str(e)}
 
-    frappe.db.commit()  # nosemgrep: frappe-manual-commit
-
     return {
         "ok": True,
         "changed_tables": len(changed_tables),
@@ -853,8 +847,6 @@ def _process_pending_field_batches(
                 field["description"] = desc_map[field_name].strip()
                 updated_fields += 1
                 updated_in_table += 1
-        # Required checkpoint commit: this long-running schema enrichment job calls external APIs and must persist partial progress to avoid losing completed batch updates on failure/retry.
-        frappe.db.commit()  # nosemgrep
     return {
         "updated_in_table": updated_in_table,
         "updated_fields": updated_fields,

changai/changai/api/v2/create_qr.py

@@ -11,7 +11,6 @@
 from base64 import b64encode
 import io
 import os
-@frappe.whitelist()
 def create_qr_code(doc,method):
     """Create QR Code after inserting Employee"""
     if not hasattr(doc, 'custom_qr_code'):

changai/changai/api/v2/format_output.py

@@ -591,16 +591,6 @@ def local_format(sql: str, sample_rows: List[Dict[str, Any]]):
     result = format_sql_response(sql, row_count, sample_rows)
     return result
 
-def format_data_conversationally(user_data: Any) -> str:
-    # Safe: CONVERSATION_TEMPLATE is a hardcoded internal template string.
-    # User SQL result is passed only as data context, not as template source.
-    # nosemgrep: frappe-semgrep-rules.rules.security.frappe-ssti
-    return render_template(
-        CONVERSATION_TEMPLATE,  # nosemgrep: frappe-semgrep-rules.rules.security.frappe-ssti
-
-        {"data": user_data}
-    )
-
 def format_data(qstn: str, sql_data: Any) -> Dict[str, str]:
     if isinstance(sql_data, (dict, list)):
         db_result_json = json.dumps(sql_data, ensure_ascii=False, default=str)

changai/changai/api/v2/text2sql_pipeline_v2.py

@@ -51,7 +51,6 @@
    _error_response 
 )
 from changai.changai.api.v2.format_output import (
-    format_data_conversationally,
     format_data
 
 )

changai/hooks.py

@@ -175,6 +175,7 @@
         "on_update": "changai.changai.api.v2.create_qr.create_qr_code",
 
     }
+    # "File":{"after_insert":"changai.changai.api.v2.gdoc_ai.on_file_upload"}
 # # 	"*": {
 # # 		"on_update": "method",
 # # 		"on_cancel": "method",