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Fix hardcoded paths in dash.py for cross-platform compatibility #77

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Fix hardcoded paths in dash.py for cross-platform compatibility #77

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31 changes: 18 additions & 13 deletions app/services/dash.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,8 +27,11 @@
)


# Get all the files in the data directory
data_dir = rf"C:\Users\SITAM MEUR\Desktop\web-eye-tracker-main\web-eye-tracker-main\app\services\calib_validation\csv\data"
# Get the data directory (relative to this file's location)
current_dir = os.path.dirname(os.path.abspath(__file__))
data_dir = os.path.join(current_dir, "calib_validation", "csv", "data")

# Get all files in the data directory
files = os.listdir(data_dir)

# Extract the prefixes from the file names
Expand All @@ -47,12 +50,14 @@
prefix = st.selectbox("Select the prefix for the calibration data", prefixes)

# Load the dataset
dataset_train_path = rf"C:\Users\SITAM MEUR\Desktop\web-eye-tracker-main\web-eye-tracker-main\app\services\calib_validation\csv\data\{prefix}_fixed_train_data.csv"
dataset_train_path = os.path.join(data_dir, f"{prefix}_fixed_train_data.csv")
try:
raw_dataset = pd.read_csv(dataset_train_path)
st.success(f"Loaded: {prefix}_fixed_train_data.csv")
# File not found error handling
except FileNotFoundError:
st.error("File not found. Please make sure the file path is correct.")
st.stop()


def model_for_mouse_x(X1, Y1, models, model_names):
Expand All @@ -68,7 +73,7 @@ def model_for_mouse_x(X1, Y1, models, model_names):
Returns: None
"""
# Split dataset into train and test sets (80/20 where 20 is for test)
X1_train, X1_test, Y1_train, Y1_test = train_test_split(X1, Y1, test_size=0.2)
X1_train, X1_test, Y1_train, Y1_test = train_test_split(X1, Y1, test_size=0.2, random_state=42)

metrics_list = []

Expand Down Expand Up @@ -116,7 +121,7 @@ def model_for_mouse_x(X1, Y1, models, model_names):

# Display metrics using Streamlit
st.subheader("Metrics for the test set - X")
st.dataframe(metrics_df_test, use_container_width=True)
st.dataframe(metrics_df_test, width="stretch")

# Bar charts for visualization
for metric in metrics_df_test.columns[1:]:
Expand All @@ -141,7 +146,7 @@ def model_for_mouse_x(X1, Y1, models, model_names):
errors_df["Error"] = errors_df["Actual"] - errors_df["Predicted"]

# Create the box plot
st.dataframe(errors_df, use_container_width=True)
st.dataframe(errors_df, width="stretch")
fig = px.box(errors_df, x="Model", y="Error")
st.plotly_chart(fig)

Expand Down Expand Up @@ -189,7 +194,7 @@ def model_for_mouse_y(X2, Y2, models, model_names):
Returns: None
"""
# Split dataset into train and test sets (80/20 where 20 is for test)
X2_train, X2_test, Y2_train, Y2_test = train_test_split(X2, Y2, test_size=0.2)
X2_train, X2_test, Y2_train, Y2_test = train_test_split(X2, Y2, test_size=0.2, random_state=42)

# Initialize empty lists to store the metrics data
metrics_list = []
Expand Down Expand Up @@ -238,7 +243,7 @@ def model_for_mouse_y(X2, Y2, models, model_names):

# Display metrics using Streamlit
st.subheader("Metrics for the test set - Y")
st.dataframe(metrics_df_test, use_container_width=True)
st.dataframe(metrics_df_test, width="stretch")

# Bar charts for visualization
for metric in metrics_df_test.columns[1:]:
Expand All @@ -263,7 +268,7 @@ def model_for_mouse_y(X2, Y2, models, model_names):
errors_df["Error"] = errors_df["Actual"] - errors_df["Predicted"]

# Create the box plot
st.dataframe(errors_df, use_container_width=True)
st.dataframe(errors_df, width="stretch")
fig = px.box(errors_df, x="Model", y="Error")
st.plotly_chart(fig)

Expand Down Expand Up @@ -307,7 +312,7 @@ def model_for_mouse_y(X2, Y2, models, model_names):
with tab1:
# Display the raw dataset
st.subheader("Data Obtained from Calibration")
st.dataframe(raw_dataset, use_container_width=True)
st.dataframe(raw_dataset, width="stretch")

# Two columns for the plots
col1, col2 = st.columns(2)
Expand All @@ -327,7 +332,7 @@ def model_for_mouse_y(X2, Y2, models, model_names):
)

# Display the plot
st.plotly_chart(fig_left, theme="streamlit", use_container_width=True)
st.plotly_chart(fig_left, theme="streamlit", width="stretch")

with col2:
# Subheader
Expand All @@ -343,7 +348,7 @@ def model_for_mouse_y(X2, Y2, models, model_names):
)

# Display the plot
st.plotly_chart(fig_right, theme="streamlit", use_container_width=True)
st.plotly_chart(fig_right, theme="streamlit", width="stretch")

# Create the line plot
fig3 = px.line(
Expand All @@ -352,7 +357,7 @@ def model_for_mouse_y(X2, Y2, models, model_names):
title="Left and Right Iris Position",
)
# Display the plot
st.plotly_chart(fig3, theme="streamlit", use_container_width=True)
st.plotly_chart(fig3, theme="streamlit", width="stretch")


# With the second tab
Expand Down