diff options
Diffstat (limited to 'services')
| -rw-r--r-- | services/ai_service.py | 71 |
1 files changed, 69 insertions, 2 deletions
diff --git a/services/ai_service.py b/services/ai_service.py index f128b4a..4b54c15 100644 --- a/services/ai_service.py +++ b/services/ai_service.py @@ -50,7 +50,8 @@ Respond ONLY with this JSON structure: "name": "...", "meal_type": "breakfast", "ingredients": [{{"name": "...", "quantity": 1.0, "unit": "cup"}}], - "instructions": "Step 1... Step 2...", + "description": "1-2 sentence description of the dish's flavor and appeal", + "instructions": "1. ... 2. ... (4-8 numbered steps, 1-2 sentences each)", "time_minutes": 20, "serves": 2 }} @@ -204,7 +205,8 @@ Respond ONLY with this JSON: "name": "...", "meal_type": "{meal_type}", "ingredients": [{{"name": "...", "quantity": 1.0, "unit": "cup"}}], - "instructions": "Step 1... Step 2...", + "description": "1-2 sentence description of the dish's flavor and appeal", + "instructions": "1. ... 2. ... (4-8 numbered steps, 1-2 sentences each)", "time_minutes": 30, "serves": 2 }} @@ -262,3 +264,68 @@ Be conversational, helpful, and concise. Reference specific ingredients and reci loop = asyncio.get_running_loop() return await loop.run_in_executor(None, lambda: _chat_sync(messages, json_format=False)) + + +async def parse_recipe_from_text(text: str) -> dict: + """Ask Ollama to parse unstructured recipe text into our standard recipe schema.""" + user_message = f"""Parse this recipe text and extract structured data. + +RECIPE TEXT: +{text[:4000]} + +Respond ONLY with this JSON: +{{ + "recipe": {{ + "name": "...", + "meal_type": "dinner", + "ingredients": [{{"name": "...", "quantity": 1.0, "unit": "cup"}}], + "description": "1-2 sentence description of the dish's flavor and appeal", + "instructions": "1. ... 2. ... (4-8 numbered steps, 1-2 sentences each)", + "time_minutes": 30, + "serves": 2 + }} +}} +meal_type must be one of: breakfast, lunch, dinner, snack""" + + messages = [ + {"role": "system", "content": settings.system_prompt}, + {"role": "user", "content": user_message}, + ] + return await _chat(messages) + + +async def generate_single_recipe(description: str, existing_names: list, pantry_context: dict) -> dict: + """Generate one recipe matching a user description.""" + user_message = f"""Suggest ONE recipe based on this description: "{description}" + +CURRENT PANTRY: +{json.dumps(pantry_context["available_ingredients"], indent=2)} + +ALREADY IN PLAN (do not suggest these): +{json.dumps(existing_names, indent=2)} + +GUIDELINES: +- Match the description as closely as possible +- Do NOT limit yourself to only pantry ingredients +- Under 60 minutes +- Must not be any dish already in the plan + +Respond ONLY with this JSON: +{{ + "recipe": {{ + "name": "...", + "description": "1-2 sentence description of the dish's flavor and appeal", + "meal_type": "dinner", + "ingredients": [{{"name": "...", "quantity": 1.0, "unit": "cup"}}], + "instructions": "1. ... 2. ... (4-8 numbered steps, 1-2 sentences each)", + "time_minutes": 30, + "serves": 2 + }} +}} +meal_type must be one of: breakfast, lunch, dinner, snack""" + + messages = [ + {"role": "system", "content": settings.system_prompt}, + {"role": "user", "content": user_message}, + ] + return await _chat(messages) |