feat(ca): Add analysis loading feature and update documentation to v5-Stable

import_competitive_radar.py

@@ -4,15 +4,15 @@ import requests
 import sys
 
 # Configuration
-JSON_FILE = 'analysis_robo-planet.de-2.json'
+JSON_FILE = 'analysis_robo-planet.de-4.json'
 TOKEN_FILE = 'notion_token.txt'
 PARENT_PAGE_ID = "2e088f42-8544-8024-8289-deb383da3818" 
 
 # Database Titles
-DB_TITLE_HUB = "📦 Competitive Radar (Companies) v5"
-DB_TITLE_LANDMINES = "💣 Competitive Radar (Landmines) v5"
-DB_TITLE_REFS = "🏆 Competitive Radar (References) v5"
-DB_TITLE_PRODUCTS = "🤖 Competitive Radar (Products) v5"
+DB_TITLE_HUB = "📦 Competitive Radar (Companies) v6"
+DB_TITLE_LANDMINES = "💣 Competitive Radar (Landmines) v6"
+DB_TITLE_REFS = "🏆 Competitive Radar (References) v6"
+DB_TITLE_PRODUCTS = "🤖 Competitive Radar (Products) v6"
 
 def load_json_data(filepath):
     with open(filepath, 'r') as f:
@@ -28,7 +28,7 @@ def create_database(token, parent_id, title, properties):
     payload = {"parent": {"type": "page_id", "page_id": parent_id}, "title": [{"type": "text", "text": {"content": title}}], "properties": properties}
     r = requests.post(url, headers=headers, json=payload)
     if r.status_code != 200:
-        print(f"Error {title}: {r.text}")
+        print(f"Error creating DB '{title}': {r.text}")
         sys.exit(1)
     return r.json()['id']
 
@@ -37,14 +37,17 @@ def create_page(token, db_id, properties):
     headers = {"Authorization": f"Bearer {token}", "Notion-Version": "2022-06-28", "Content-Type": "application/json"}
     payload = {"parent": {"database_id": db_id}, "properties": properties}
     r = requests.post(url, headers=headers, json=payload)
+    if r.status_code != 200:
+        print(f"Error creating page: {r.text}")
     return r.json().get('id')
 
 def main():
     token = load_notion_token(TOKEN_FILE)
     data = load_json_data(JSON_FILE)
     
-    print("🚀 Level 4 Import starting...")
+    print("🚀 Level 5 Import starting (v6 Databases)...")
     
+    # 1. Create Databases
     hub_id = create_database(token, PARENT_PAGE_ID, DB_TITLE_HUB, {
         "Name": {"title": {}},
         "Website": {"url": {}},
@@ -60,43 +63,72 @@ def main():
     prod_id = create_database(token, PARENT_PAGE_ID, DB_TITLE_PRODUCTS, {
         "Product": {"title": {}},
         "Category": {"select": {}},
+        "Purpose": {"rich_text": {}},
         "Related Competitor": {"relation": {"database_id": hub_id, "dual_property": {"synced_property_name": "Products"}}}
     })
 
+    ref_id = create_database(token, PARENT_PAGE_ID, DB_TITLE_REFS, {
+        "Customer": {"title": {}},
+        "Industry": {"select": {}},
+        "Quote": {"rich_text": {}},
+        "Related Competitor": {"relation": {"database_id": hub_id, "dual_property": {"synced_property_name": "References"}}}
+    })
+
+    # 2. Import Companies & Products
     comp_map = {}
     for analysis in data.get('analyses', []):
         c = analysis['competitor']
         name = c['name']
+        
+        # v5: 'target_industries' is at root level of analysis object
+        industries = analysis.get('target_industries', [])
+        
         props = {
             "Name": {"title": [{"text": {"content": name}}]},
             "Website": {"url": c['url'] or "https://google.com"},
-            "Target Industries": {"multi_select": [{"name": i[:100]} for i in analysis.get('target_industries', [])]}
+            "Target Industries": {"multi_select": [{"name": i[:100].replace(',', '')} for i in industries if i]}
         }
         pid = create_page(token, hub_id, props)
         if pid:
             comp_map[name] = pid
-            print(f"  - Created: {name}")
+            print(f"  - Created Company: {name}")
             
             for prod in analysis.get('portfolio', []):
                 p_props = {
                     "Product": {"title": [{"text": {"content": prod['product'][:100]}}]},
-                    "Category": {"select": {"name": prod.get('purpose', 'Other')[:100]}},
+                    "Category": {"select": {"name": prod.get('category', 'Other')[:100]}},
+                    "Purpose": {"rich_text": [{"text": {"content": prod.get('purpose', '')[:2000]}}]},
                     "Related Competitor": {"relation": [{"id": pid}]}
                 }
                 create_page(token, prod_id, p_props)
 
+    # 3. Import Battlecards (Landmines)
     for card in data.get('battlecards', []):
         cid = comp_map.get(card['competitor_name'])
         if not cid: continue
         for q in card.get('landmine_questions', []):
+            # Handle both string and object formats from LLM
             text = q['text'] if isinstance(q, dict) else q
             cat = q.get('category', 'General') if isinstance(q, dict) else 'General'
+            
             create_page(token, lm_id, {
                 "Question": {"title": [{"text": {"content": text[:100]}}]},
                 "Topic": {"select": {"name": cat}},
                 "Related Competitor": {"relation": [{"id": cid}]}
             })
 
+    # 4. Import References
+    for ref_analysis in data.get('reference_analysis', []):
+        cid = comp_map.get(ref_analysis['competitor_name'])
+        if not cid: continue
+        for ref in ref_analysis.get('references', []):
+            create_page(token, ref_id, {
+                "Customer": {"title": [{"text": {"content": ref['name'][:100]}}]},
+                "Industry": {"select": {"name": ref.get('industry', 'Unknown')[:100].replace(',', '')}},
+                "Quote": {"rich_text": [{"text": {"content": ref.get('testimonial_snippet', '')[:2000]}}]},
+                "Related Competitor": {"relation": [{"id": cid}]}
+            })
+
     print("✅ DONE")
 
 if __name__ == "__main__":