chore: xlxs render based on the received data

Author: Javier-Godon

Cargo.lock

@@ -12,6 +12,9 @@ crate-type = ["cdylib"]
 pyo3 = { version = "0.23.4", features = ["extension-module"] }
 rayon = "1.10.0"
 base64 = "0.21.7"
+tempfile ="3"
+serde = { version = "1.0", features = ["derive"] }
+serde_json = "1.0"
 # tokio = { version = "1.43.0", features = ["rt-multi-thread"] }
 
 # [dependencies.pyo3-asyncio]

Cargo.toml

@@ -1,28 +1,56 @@
+import json
 import pyo3_rust
-
-import app.usecases.render_full_xlsx.single_reports.report_1 as report_1
-import app.usecases.render_full_xlsx.single_reports.report_2 as report_2
-import app.usecases.render_full_xlsx.single_reports.report_3 as report_3
-
-# import app.grpc_client_impl.grpc_client as grpc_client
+import app.usecases.render_full_xlsx.single_reports.cpu_system_usage as cpu_system_usage
+import app.usecases.render_full_xlsx.single_reports.cpu_user_usage as cpu_user_usage
 from app.grpc_client_impl.grpc_client import GRPCClientSingleton
 
-
 def render_full_xlsx(date_from: int, date_to: int):
-    grpc_client =GRPCClientSingleton.get_instance()
+    grpc_client = GRPCClientSingleton.get_instance()
     system_usage = grpc_client.get_cpu_system_usage(date_from=date_from, date_to=date_to)
     user_usage = grpc_client.get_cpu_user_usage(date_from=date_from, date_to=date_to)
 
-    reports = [report_1, report_2, report_3]
+    reports = [cpu_system_usage, cpu_user_usage]
     report_paths = [r.__name__ for r in reports]
 
-    final_excel = pyo3_rust.render_parallel_xlsx(reports=report_paths, date_from=date_from, date_to=date_to)
+    system_usage_json_str = map_get_cpu_system_usage_response_to_json(system_usage)
+    user_usage_json_str = map_get_cpu_user_usage_response_to_json(user_usage) # Create JSON for user usage
+
+    # Pass a list of JSON strings corresponding to the report paths
+    data_list_json_str = [system_usage_json_str, user_usage_json_str]
+
+    final_excel = pyo3_rust.render_parallel_xlsx(
+        module_paths=report_paths,
+        date_from=date_from,
+        date_to=date_to,
+        data=json.dumps(data_list_json_str) # Serialize the list of JSON strings
+    )
 
     if not isinstance(final_excel, bytes):
         raise TypeError("Expected bytes from Rust function, got {}".format(type(final_excel)))
 
-    # We can check if the .xlsx file was properly created.
     with open("final_report.xlsx", "wb") as f:
         f.write(final_excel)
 
     return final_excel
+
+def map_get_cpu_system_usage_response_to_json(system_usage):
+    usage_data = []
+    for usage in system_usage.usages:
+        usage_data.append({
+            "cpu": usage.cpu,
+            "avg_usage": usage.avg_usage,
+            "max_usage": usage.max_usage,
+            "min_usage": usage.min_usage,
+        })
+    return json.dumps(usage_data)
+
+def map_get_cpu_user_usage_response_to_json(user_usage):
+    usage_data = []
+    for usage in user_usage.usages:
+        usage_data.append({
+            "cpu": usage.cpu,
+            "avg_usage": usage.avg_usage,
+            "max_usage": usage.max_usage,
+            "min_usage": usage.min_usage,
+        })
+    return json.dumps(usage_data)