PR1: initial project structure

.streamlit/config.toml

@@ -1,16 +1,9 @@
 [theme]
-primaryColor = "#FF4B4B"
-backgroundColor = "#FFFFFF"
-secondaryBackgroundColor = "#F0F2F6"
-textColor = "#262730"
-font = "sans serif"
+base="light"
+primaryColor="#FF4B4B"
+backgroundColor="#FFFFFF"
+secondaryBackgroundColor="#F0F2F6"
+textColor="#262730"
 
 [server]
-enableCORS = true
-enableXsrfProtection = true
-
-[browser]
-gatherUsageStats = false
-
-[logger]
-level = "info"
+headless=true

TODO.md

@@ -9,13 +9,13 @@ After completing a milestone, create a pull request with your changes for review
 - [x] Create repository structure
 - [x] Set up README.md
 - [x] Create requirements.txt
-- [ ] Create main application entry point (app.py) with basic structure
-- [ ] Set up project configuration
-- [ ] Add sample datasets in data directory
-- [ ] Implement basic UI theme and layout
-- [ ] Create utility module structure
-- [ ] Setup testing framework and basic test structure
-- [ ] Create tests for the initial application structure
+- [x] Create main application entry point (app.py) with basic structure
+- [x] Set up project configuration
+- [x] Add sample datasets in data directory
+- [x] Implement basic UI theme and layout
+- [x] Create utility module structure
+- [x] Setup testing framework and basic test structure
+- [x] Create tests for the initial application structure
 
 ## PR2: Data Import & Management
 

app.py

@@ -0,0 +1,29 @@
+"""Main entry point for PredictStream."""
+
+import streamlit as st
+from utils import config
+
+st.set_page_config(page_title="PredictStream", layout="wide")
+
+
+def main() -> None:
+    """Render the main page."""
+    st.title("PredictStream")
+    st.write("Upload a dataset to get started or explore sample datasets.")
+
+    uploaded_file = st.file_uploader(
+        "Upload CSV or Excel file", type=["csv", "xlsx", "xls"], key="file_uploader"
+    )
+
+    if uploaded_file is not None:
+        st.success("File uploaded successfully!")
+
+    st.subheader("Sample Datasets")
+    for name, path in config.SAMPLE_DATASETS.items():
+        if st.button(f"Load {name}"):
+            st.session_state["uploaded_file"] = path.read_bytes()
+            st.success(f"{name} loaded!")
+
+
+if __name__ == "__main__":
+    main()

data/samples/iris_sample.csv

@@ -0,0 +1,11 @@
+sepal_length,sepal_width,petal_length,petal_width,species
+5.1,3.5,1.4,0.2,setosa
+4.9,3.0,1.4,0.2,setosa
+4.7,3.2,1.3,0.2,setosa
+4.6,3.1,1.5,0.2,setosa
+5.0,3.6,1.4,0.2,setosa
+5.4,3.9,1.7,0.4,setosa
+4.6,3.4,1.4,0.3,setosa
+5.0,3.4,1.5,0.2,setosa
+4.4,2.9,1.4,0.2,setosa
+5.0,3.5,1.3,0.3,setosa

data/samples/tips_sample.csv

@@ -0,0 +1,11 @@
+total_bill,tip,sex,smoker,day,time,size
+16.99,1.01,Female,No,Sun,Dinner,2
+10.34,1.66,Male,No,Sun,Dinner,3
+21.01,3.50,Male,No,Sun,Dinner,3
+23.68,3.31,Male,No,Sun,Dinner,2
+24.59,3.61,Female,No,Sun,Dinner,4
+25.29,4.71,Male,No,Sun,Dinner,4
+8.77,2.00,Male,No,Sun,Dinner,2
+26.88,3.12,Male,No,Sun,Dinner,4
+15.04,1.96,Male,No,Sun,Dinner,2
+14.78,3.23,Male,No,Thur,Lunch,2

pytest.ini

@@ -0,0 +1,2 @@
+[pytest]
+addopts = -vv

tests/test_structure.py

@@ -0,0 +1,13 @@
+from importlib import import_module
+
+from utils import config
+
+
+def test_sample_files_exist():
+    for path in config.SAMPLE_DATASETS.values():
+        assert path.exists(), f"Sample dataset missing: {path}"
+
+
+def test_app_importable():
+    app = import_module("app")
+    assert hasattr(app, "main")

utils/config.py

@@ -0,0 +1,10 @@
+from pathlib import Path
+
+BASE_DIR = Path(__file__).resolve().parent.parent
+DATA_DIR = BASE_DIR / "data"
+SAMPLE_DIR = DATA_DIR / "samples"
+
+SAMPLE_DATASETS = {
+    "Iris Sample": SAMPLE_DIR / "iris_sample.csv",
+    "Tips Sample": SAMPLE_DIR / "tips_sample.csv",
+}