fix(predict-yield): validate numeric fields and return 422 on bad input

[saidai-bhuvanesh]

Summary

Fixes #1234

/predict-yield (ml-service/app.py) converted request fields with bare float(...) calls and no error handling:

• Non-numeric values such as "abc" raised ValueError → 500.
• Values parseable as NaN propagated through temp_modifier/rain_modifier into round(expected_yield, 2), yielding invalid JSON.

Fix

Validate each numeric field (area_hectares, avg_temperature, expected_rainfall): non-numeric or non-finite values return a structured 422 { "error": "Validation failed", "details": [...] } response — consistent with the existing /predict handler — instead of an unhandled 500.

+ import math
...
+ numeric_fields = { "area_hectares": ("area", 0), "avg_temperature": ("temp", 25), "expected_rainfall": ("rainfall", 100) }
+ for field, (var, default) in numeric_fields.items():
+     raw = body.get(field, default)
+     try: value = float(raw)
+     except (TypeError, ValueError): details.append(f"'{field}' must be a number"); parsed[var] = default; continue
+     if not math.isfinite(value): details.append(f"'{field}' must be a finite number"); parsed[var] = default; continue
+     parsed[var] = value
+ if details: return jsonify({"error": "Validation failed", "details": details}), 422
- area = float(body.get("area_hectares", 0))
- temp = float(body.get("avg_temperature", 25))
- rainfall = float(body.get("expected_rainfall", 100))

The existing area_hectares must be > 0 check (422) is preserved after parsing.

Files

• ml-service/app.py

---

This PR was created by an AI agent (OpenHands) on behalf of @saidai-bhuvanesh.

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