Fix numpy dependency: specify exact versions and install order in Dockerfile

Dockerfile

@@ -11,6 +11,11 @@ RUN apt-get update && apt-get install -y \
 
 # Copy requirements first for better caching
 COPY requirements.txt .
+
+# Install numpy and pandas first to avoid dependency conflicts
+RUN pip install --no-cache-dir numpy==1.24.3 pandas==2.0.3 scipy==1.11.1
+
+# Install the rest of the requirements
 RUN pip install --no-cache-dir -r requirements.txt
 
 # Copy application code

app.py

@@ -183,28 +183,12 @@ def predict(request: PredictionRequest):
                 detail=f"Missing required fields: {missing_en}"
             )
 
-        # Map fields to match inference engine expectations
-        mapped_data = {
-            'INDUSTRY': incoming['INDUSTRY'],
-            'EMPLOYEE_RANGE': incoming['EMPLOYEE_RANGE'],
-            'FRIDGE_RANGE': incoming['FRIDGE_RANGE'],
-            'PAYMENT_METHOD': incoming['PAYMENT_METHOD'],
-            'PREFECTURE': incoming['PREFECTURE'],
-            'FIRST_YEAR': incoming['FIRST_YEAR'],
-            'FIRST_MONTH': incoming['FIRST_MONTH'],
-            'LAT': incoming['LAT'],
-            'LONG': incoming['LONG'],
-            'DELIVERY_NUM': incoming['DELIVERY_NUM'],
-            'TOTAL_VOLUME': incoming['DELIVERY_NUM'],  # Map DELIVERY_NUM to TOTAL_VOLUME
-            'MEDIAN_GENDER_RATIO': incoming['MEDIAN_GENDER_RATIO'],
-            'MODE_TOP_AGE_RANGE_1': incoming['MODE_TOP_AGE_RANGE_1'],
-            'MODE_TOP_AGE_RANGE_2': incoming['MODE_TOP_AGE_RANGE_2'],
-            'MODE_TOP_AGE_RANGE_3': incoming['MODE_TOP_AGE_RANGE_3'],
-            'topK': incoming.get('topK', 30)
-        }
+        # Ensure TOTAL_VOLUME is present for the inference engine
+        if 'TOTAL_VOLUME' not in incoming and 'DELIVERY_NUM' in incoming:
+            incoming['TOTAL_VOLUME'] = incoming['DELIVERY_NUM']
 
         # Predict
-        recommendations = engine.predict(mapped_data)
+        recommendations = engine.predict(incoming)
         requested_k = int(incoming.get("topK", 30))
         if len(recommendations) > requested_k:
             recommendations = recommendations[:requested_k]

requirements.txt

@@ -3,8 +3,8 @@ uvicorn[standard]==0.24.0
 pydantic==2.5.0
 torch==1.13.1
 git+https://github.com/Yura52/rtdl.git@main
-pandas
-numpy
-scipy
+numpy==1.24.3
+pandas==2.0.3
+scipy==1.11.1
 python-multipart==0.0.6
 requests