feat: implement full project generation engine and LLM router for conversational state management

src/recommendation_engine/full_project_generator.py

@@ -225,9 +225,10 @@ Your task is to update their custom text to incorporate the following NEW FEATUR
 
 CRITICAL RULES:
 1. You MUST preserve the exact tone, style, and core phrasing of the user's original text!
-2. If their text is casual or extremely short (e.g., "chat bot is the best"), KEEP it casual and short. 
-3. Just weave the new features in naturally or append them. 
-4. DO NOT turn a short, simple sentence into a massive, robotic academic block!
+2. Just weave the new features in naturally.
+3. EXPAND the content significantly to ensure it is highly detailed.
+4. The rewritten ABSTRACT MUST contain a minimum of 130 words.
+5. The rewritten DESCRIPTION MUST contain a minimum of 160 words.
 
 NEW FEATURES:
 {features_text}

src/recommendation_engine/llm_router.py

@@ -5,8 +5,6 @@ from src.recommendation_engine.llm_client import generate_text
 
 def word_to_number(text: str):
     cleaned = text.strip()
-    if cleaned in ["1", "2"]:
-        return None
 
     mapping = {
         "one": 1, "two": 2, "three": 3, "four": 4, "five": 5,
@@ -88,14 +86,13 @@ JSON Format:
     try:
         raw_response = generate_text(prompt, task="intent").strip()
         
-        # Remove markdown code blocks if present
-        if raw_response.startswith("```"):
-            lines = raw_response.splitlines()
-            if lines[0].startswith("```"):
-                lines = lines[1:]
-            if lines[-1].startswith("```"):
-                lines = lines[:-1]
-            raw_response = "\n".join(lines).strip()
+        # Extract JSON using regex if there's conversational text
+        import re
+        json_match = re.search(r'(\{.*\})', raw_response, re.DOTALL)
+        if json_match:
+            raw_response = json_match.group(1)
+        else:
+            raw_response = raw_response.strip()
             
         parsed = json.loads(raw_response)
         import logging

src/recommendation_engine/prompt_builder.py

@@ -206,6 +206,7 @@ REQUIREMENTS:
 - Keep the description realistic and implementable
 - Write clearly and professionally
 - Avoid unnecessary marketing language
+- The description MUST be highly detailed and contain a minimum of 160 words.
 
 STRUCTURE:
 1. Problem
@@ -304,6 +305,8 @@ STRICT RULES:
 13. TECHNOLOGIES must contain at least 5 technologies
 14. METHODOLOGY must be detailed and multi-step
 15. AI_SUMMARY must never be empty
+16. The ABSTRACT section MUST be highly detailed and contain a minimum of 130 words.
+17. The DESCRIPTION section MUST be highly detailed and contain a minimum of 160 words.
 
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