constants.py

JSON_SCHEMA_FOR_GPT = """
{
  "title": "Fashion Campaign Ideas",
  "type": "array",
  "items": {
    "type": "object",
    "properties": {
      "model": {
        "type": "object",
        "properties": {
          "ethnicity": {
            "type": "string",
            "description": "The ethnicity of the model"
          },
          "age": {
            "type": "integer",
            "description": "The age of the model"
          },
          "gender": {
            "type": "string",
            "enum": ["male", "female", "non-binary"],
            "description": "The gender of the model"
          }
        },
        "required": ["ethnicity", "age", "gender"]
      },
      "location": {
        "type": "string",
        "description": "The location or setting for the shoot"
      },
      "mood": {
        "type": "string",
        "description": "The overall mood or atmosphere for the shoot"
      },
      "emotion": {
        "type": "string",
        "description": "The primary emotion to be conveyed in the shoot"
      },
      "accessories": {
        "type": "array",
        "items": {
          "type": "string",
          "description": "Accessories included in the fashion shoot (e.g., sunglasses, handbags, jewelry)"
        }
      },
      "pose": {
        "type": "string",
        "description": "The type of pose the model will be holding during the shoot"
      },
      "target_market": {
        "type": "string",
        "description": "The target audience for the fashion piece"
      },
      "reasoning": {
        "type": "string",
        "description": "Explanation of why this particular campaign is suggested for the product"
      },
      "final_prompt": {
        "type": "string",
        "description": "The combined fashion shoot prompt, summarizing all details",
        "readonly": true
      }
    },
    "required": ["model", "location", "mood", "emotion", "accessories", "pose", "target_market", "reasoning"],
    "definitions": {
      "generateFinalPrompt": {
        "description": "Generate the final prompt by combining all the inputs into a cohesive sentence.",
        "template": "{mood} photoshoot in {location} featuring a {model.ethnicity}, {model.age}-year-old {model.gender} model wearing accessories like {accessories}. The model holds a {pose} pose, conveying a sense of {emotion}, aimed at the {target_market} market. Reasoning: {reasoning}"
      }
    }
  }
}"""

UPDATED_MODEL_ONLY_SCHEMA = {
  "type": "object",
  "properties": {
    "model": {
      "type": "object",
      "properties": {
        "ethnicity": {
          "type": "string",
          "description": "The ethnicity of the model"
        },
        "age": {
          "type": "integer",
          "description": "The age of the model"
        },
        "gender": {
          "type": "string",
          "enum": ["male", "female", "non-binary"],
          "description": "The gender of the model"
        },
        "model_prompt": {
          "type": "string",
          "description": "The prompt used to generate the model details"
        },
        "reasoning": {
          "type": "string",
          "description": "The reasoning behind the model selection"
        },
        "background": {
          "type": "string",
          "description": "The background information about the model"
        }
      },
      "required": ["ethnicity", "age", "gender", "model_prompt", "reasoning", "background"],
      "additionalProperties": False
    }
  },
  "required": ["model"],
  "additionalProperties": False
}

JSON_SCHEMA_FOR_LOC_ONLY = {
  "type": "object",
  "properties": {
    "location": {
      "type": "string",
      "description": "The location or setting for the shoot"
    },
    "location_prompt": {
      "type": "string",
      "description": "The prompt or instruction related to the location"
    },
    "reasoning": {
      "type": "string",
      "description": "The reasoning or rationale behind selecting this location"
    }
  },
  "required": ["location", "location_prompt", "reasoning"]
}