feat: endpoint to filter by sources

frontend/src/pages/Stats.tsx

@@ -67,7 +67,7 @@ const StatPage = () => {
   };
 
   const onSearch = () => {
-    const query = inputRef.current?.value ?? ""; // read input only on click
+    const query = inputRef.current?.value ?? "";
     axios.post("http://localhost:5000/filter/search", {
       query: query
     })

server/app.py

@@ -115,6 +115,27 @@ def filter_time():
     except Exception:
         return jsonify({"error": "Invalid datetime format"}), 400
     
+@app.route('/filter/sources', methods=["POST"])
+def filter_sources():
+    if stat_obj is None:
+        return jsonify({"error": "No data uploaded"}), 400
+    
+    data = request.get_json(silent=True)
+    if not data:
+        return jsonify({"error": "Invalid or missing JSON body"}), 400
+    
+    if "sources" not in data:
+        return jsonify({"error": "Ensure sources hash map is in 'sources' key"}), 400
+    
+    try:
+        filtered_df = stat_obj.filter_data_sources(data["sources"])
+        return jsonify(filtered_df), 200
+    except ValueError:
+        return jsonify({"error": "Please enable at least one data source"}), 400
+    except Exception as e:
+        return jsonify({"error": "An unexpected server error occured: " + str(e)}), 500
+    
+    
 @app.route('/filter/reset', methods=["GET"])
 def reset_dataset():
     if stat_obj is None:

server/stat_gen.py

@@ -125,7 +125,7 @@ class StatGen:
             "word_frequencies": word_frequencies.to_dict(orient='records')
         }
     
-    def search(self, search_query: str) -> pd.DataFrame:
+    def search(self, search_query: str) -> dict:
         self.df = self.df[
             self.df["content"].str.contains(search_query)
         ]
@@ -135,7 +135,7 @@ class StatGen:
             "data": self.df.to_dict(orient="records")
         }
     
-    def set_time_range(self, start: datetime.datetime, end: datetime.datetime):
+    def set_time_range(self, start: datetime.datetime, end: datetime.datetime) -> dict:
         self.df = self.df[
             (self.df["dt"] >= start) &
             (self.df["dt"] <= end)
@@ -146,6 +146,23 @@ class StatGen:
             "data": self.df.to_dict(orient="records")
         }
     
+    """
+    Input is a hash map (source_name: str -> enabled: bool)
+    """
+    def filter_data_sources(self, data_sources: dict) -> dict:
+        enabled_sources = [src for src, enabled in data_sources.items() if enabled]
+
+        if not enabled_sources:
+            raise ValueError("Please choose at least one data source")
+        
+        self.df = self.df[self.df["source"].isin(enabled_sources)]
+
+        return {
+            "rows": len(self.df),
+            "data": self.df.to_dict(orient="records")
+        }
+
+    
     def reset_dataset(self) -> None:
         self.df = self.original_df.copy(deep=True)