From 68617bf515aa768851269d599c7d0e2b8dbc4a53 Mon Sep 17 00:00:00 2001
From: Saurabhsingh Rajput <saurabh@dal.ca>
Date: Mon, 11 Dec 2023 06:37:18 -0400
Subject: [PATCH] Update codegreen version and add export_summary_to_csv
 function

---
 README.md                              |  5 +++++
 codegreen/__init__.py                  |  2 +-
 codegreen/fecom/experiment/analysis.py | 17 +++++++++++++++++
 pyproject.toml                         |  2 +-
 4 files changed, 24 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 59ef71d..9039079 100644
--- a/README.md
+++ b/README.md
@@ -11,6 +11,11 @@ Codegreen requires the following hardware:
 
 The Intel processor is needed for accessing the RAPL power sensors. An NVIDIA GPU is required for profiling GPU usage via `nvidia-smi`.
 
+Make sure to add your respective local paths to the following files after installation:
+
+- `codegreen/fecom/patching/patching_config.py`
+- `codegreen/fecom/measurement/measurement_config.py`
+
 ## Installation
 
 ```
diff --git a/codegreen/__init__.py b/codegreen/__init__.py
index 7333f3b..f62c360 100644
--- a/codegreen/__init__.py
+++ b/codegreen/__init__.py
@@ -1,3 +1,3 @@
 """Codegreen package!"""
 
-__version__ = "0.1.30"
\ No newline at end of file
+__version__ = "0.1.31"
\ No newline at end of file
diff --git a/codegreen/fecom/experiment/analysis.py b/codegreen/fecom/experiment/analysis.py
index 471d916..f9831b8 100644
--- a/codegreen/fecom/experiment/analysis.py
+++ b/codegreen/fecom/experiment/analysis.py
@@ -254,6 +254,23 @@ def export_summary_to_latex(output_dir: Path, summary_dfs: Dict[str, pd.DataFram
     for name, df in summary_dfs.items():
         df.style.format(precision=2).to_latex(buf = output_dir/f"{name}.tex")
 
+def export_summary_to_csv(output_dir: Path, summary_dfs: Dict[str, pd.DataFrame]):
+    """
+    Write a given set of summary dfs returned by create_summary() to csv files.
+    """
+    
+    for name, df in summary_dfs.items():
+        csv_path = output_dir / f"{name}.csv"
+        
+        with open(csv_path, 'w') as csv_file:
+            writer = csv.writer(csv_file)
+
+            # Write column headers 
+            writer.writerow(df.columns)
+
+            # Write each row to the csv
+            for index, row in df.iterrows():
+                writer.writerow(row)
 
 def create_summary(project_energy_data: ProjectEnergyData) -> Dict[str, pd.DataFrame]:
     cpu_summary_mean = build_summary_df_mean(project_energy_data.cpu_data)
diff --git a/pyproject.toml b/pyproject.toml
index b1a9d13..28a115b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -6,7 +6,7 @@ build-backend = "flit_core.buildapi"
 name = "codegreen"
 authors = [{name = "Saurabhsingh Rajput", email = "saurabh@dal.ca"}]
 license = {file = "LICENSE"}
-classifiers = ["License :: OSI Approved :: Apache 2.0"]
+classifiers = ["License :: OSI Approved :: Apache Software License"]
 dynamic = ["version", "description"]
 dependencies = [
 "typer>=0.9",