Portfolio Project Evaluation & Similarity Suggestion

README.md

@@ -68,6 +68,43 @@ This ensures that your application always has the required models available and
 
 ### Project Management Endpoints
 - `POST /generate-project-status-report` - Generate project status report from OpenProject data
+### Evaluate Projects Similarities
+
+**POST** `/evaluate-projects-similarities`
+
+**Request Body:**
+```json
+{
+  "project": {
+    "id": "YOUR_PORTFOLIO_PROJECT_ID",
+    "type": "portfolio" # should be portfolio
+  },
+  "openproject": {
+    "base_url": "https://your-openproject-instance.com",
+    "user_token": "YOUR_OPENPROJECT_API_KEY"
+  }
+}
+```
+
+**Response Example:**
+```json
+{
+  "portfolio": "Portfolio Project Name",
+  "candidates": [
+    {
+      "name": "Candidate Project 1",
+      "score": 85.0,
+      "project_id": "123",
+      "reason": "Strong alignment with portfolio goals."
+    }
+  ],
+  "text": "...LLM explanation..."
+}
+```
+
+**Note:**
+- The `project` object only requires an `id` field. The `type` field is no longer used.
+- The `openproject` object must be provided with each request and contains the OpenProject instance URL and user API token.
 
 ## OpenAI API Compatibility
 

config/settings.py

@@ -6,27 +6,27 @@
 
 class Settings:
     """Application settings."""
-    
+
     # Logging configuration
     LOG_LEVEL: str = os.getenv("LOG_LEVEL", "INFO")
     LOG_FORMAT: Optional[str] = os.getenv("LOG_FORMAT", None)
-    
+
     # Ollama configuration
     OLLAMA_URL: str = os.getenv("OLLAMA_URL", "http://ollama:11434")
-    OLLAMA_MODEL: str = os.getenv("OLLAMA_MODEL", "mistral:latest")
-    
+    OLLAMA_MODEL: str = os.getenv("OLLAMA_MODEL", "gemma:2b")
+
     # Model management
     MODELS_TO_PULL: str = os.getenv("MODELS_TO_PULL", "mistral:latest")
     REQUIRED_MODELS: list = os.getenv("REQUIRED_MODELS", "mistral:latest").split(",")
-    
+
     # Generation parameters
     GENERATION_NUM_PREDICT: int = int(os.getenv("GENERATION_NUM_PREDICT", "1000"))
     GENERATION_TEMPERATURE: float = float(os.getenv("GENERATION_TEMPERATURE", "0.7"))
-    
+
     # API configuration
     API_HOST: str = os.getenv("API_HOST", "0.0.0.0")
     API_PORT: int = int(os.getenv("API_PORT", "8000"))
-    
+
     # RAG Configuration
     DOCUMENTS_PATH: str = os.getenv("DOCUMENTS_PATH", "documents")
     VECTOR_STORE_PATH: str = os.getenv("VECTOR_STORE_PATH", "vector_store")
@@ -36,5 +36,4 @@ class Settings:
     CHUNK_OVERLAP: int = int(os.getenv("CHUNK_OVERLAP", "100"))
     MAX_RETRIEVED_DOCS: int = int(os.getenv("MAX_RETRIEVED_DOCS", "5"))
 
-
 settings = Settings()