Floke
9a769f62a0
- Extended import_relational_radar.py to include a 'Products' database. - Implemented full dual-way relations for Companies <-> Landmines, References, Products. - Updated documentation to reflect the 4-database architecture.
265 lines
9.5 KiB
Python
265 lines
9.5 KiB
Python
import json
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import os
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import requests
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import sys
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# Configuration
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JSON_FILE = 'analysis_robo-planet.de.json'
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TOKEN_FILE = 'notion_token.txt'
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PARENT_PAGE_ID = "2e088f42-8544-8024-8289-deb383da3818"
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# Database Titles
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DB_TITLE_HUB = "📦 Competitive Radar (Companies)"
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DB_TITLE_LANDMINES = "💣 Competitive Radar (Landmines & Intel)"
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DB_TITLE_REFS = "🏆 Competitive Radar (References)"
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DB_TITLE_PRODUCTS = "🤖 Competitive Radar (Products)"
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def load_json_data(filepath):
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try:
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with open(filepath, 'r') as f:
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return json.load(f)
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except Exception as e:
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print(f"Error loading JSON: {e}")
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sys.exit(1)
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def load_notion_token(filepath):
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try:
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with open(filepath, 'r') as f:
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return f.read().strip()
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except Exception as e:
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print(f"Error loading token: {e}")
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sys.exit(1)
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def create_database(token, parent_page_id, title, properties):
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url = "https://api.notion.com/v1/databases"
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headers = {
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"Authorization": f"Bearer {token}",
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"Notion-Version": "2022-06-28",
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"Content-Type": "application/json"
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}
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payload = {
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"parent": {"type": "page_id", "page_id": parent_page_id},
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"title": [{"type": "text", "text": {"content": title}}],
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"properties": properties
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}
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response = requests.post(url, headers=headers, json=payload)
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if response.status_code != 200:
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print(f"Error creating DB '{title}': {response.status_code}")
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print(response.text)
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sys.exit(1)
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db_data = response.json()
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print(f"✅ Created DB '{title}' (ID: {db_data['id']})")
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return db_data['id']
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def create_page(token, db_id, properties):
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url = "https://api.notion.com/v1/pages"
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headers = {
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"Authorization": f"Bearer {token}",
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"Notion-Version": "2022-06-28",
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"Content-Type": "application/json"
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}
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payload = {
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"parent": {"database_id": db_id},
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"properties": properties
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}
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response = requests.post(url, headers=headers, json=payload)
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if response.status_code != 200:
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print(f"Error creating page: {response.status_code}")
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# print(response.text)
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return None
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return response.json()['id']
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def format_list_as_bullets(items):
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if not items: return ""
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return "\n".join([f"• {item}" for item in items])
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def main():
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token = load_notion_token(TOKEN_FILE)
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data = load_json_data(JSON_FILE)
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print("🚀 Starting Relational Import (Level 3 - Full Radar)...")
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# --- STEP 1: Define & Create Competitors Hub DB ---
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props_hub = {
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"Name": {"title": {}},
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"Website": {"url": {}},
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"Target Industries": {"multi_select": {}},
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"Portfolio Summary": {"rich_text": {}},
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"Silver Bullet": {"rich_text": {}},
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"USPs": {"rich_text": {}}
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}
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hub_db_id = create_database(token, PARENT_PAGE_ID, DB_TITLE_HUB, props_hub)
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# --- STEP 2: Define & Create Satellite DBs (Linked to Hub) ---
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# Landmines DB
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props_landmines = {
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"Statement / Question": {"title": {}},
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"Type": {"select": {
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"options": [
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{"name": "Landmine Question", "color": "red"},
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{"name": "Competitor Weakness", "color": "green"},
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{"name": "Competitor Strength", "color": "orange"}
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]
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}},
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"Related Competitor": {
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"relation": {
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"database_id": hub_db_id,
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"dual_property": {"synced_property_name": "Related Landmines & Intel"}
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}
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}
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}
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landmines_db_id = create_database(token, PARENT_PAGE_ID, DB_TITLE_LANDMINES, props_landmines)
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# References DB
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props_refs = {
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"Customer Name": {"title": {}},
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"Industry": {"select": {}},
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"Snippet": {"rich_text": {}},
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"Case Study URL": {"url": {}},
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"Related Competitor": {
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"relation": {
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"database_id": hub_db_id,
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"dual_property": {"synced_property_name": "Related References"}
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}
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}
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}
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refs_db_id = create_database(token, PARENT_PAGE_ID, DB_TITLE_REFS, props_refs)
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# Products DB
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props_products = {
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"Product Name": {"title": {}},
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"Purpose / Description": {"rich_text": {}},
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"Related Competitor": {
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"relation": {
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"database_id": hub_db_id,
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"dual_property": {"synced_property_name": "Related Products"}
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}
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}
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}
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products_db_id = create_database(token, PARENT_PAGE_ID, DB_TITLE_PRODUCTS, props_products)
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# --- STEP 3: Import Competitors (and store IDs) ---
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competitor_map = {} # Maps Name -> Notion Page ID
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competitors = data.get('competitors_shortlist', []) or data.get('competitor_candidates', [])
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print(f"\nImporting {len(competitors)} Competitors...")
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for comp in competitors:
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c_name = comp.get('name')
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if not c_name: continue
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# Gather Data
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c_url = comp.get('url', '')
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# Find extended analysis data
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analysis_data = next((a for a in data.get('analyses', []) if a.get('competitor', {}).get('name') == c_name), {})
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battlecard_data = next((b for b in data.get('battlecards', []) if b.get('competitor_name') == c_name), {})
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industries = analysis_data.get('target_industries', [])
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portfolio = analysis_data.get('portfolio', [])
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portfolio_text = "\n".join([f"{p.get('product')}: {p.get('purpose')}" for p in portfolio])
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usps = format_list_as_bullets(analysis_data.get('differentiators', []))
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silver_bullet = battlecard_data.get('silver_bullet', '')
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# Create Page
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props = {
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"Name": {"title": [{"text": {"content": c_name}}]},
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"Portfolio Summary": {"rich_text": [{"text": {"content": portfolio_text[:2000]}}]}, # Limit length
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"USPs": {"rich_text": [{"text": {"content": usps[:2000]}}]},
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"Silver Bullet": {"rich_text": [{"text": {"content": silver_bullet[:2000]}}]},
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"Target Industries": {"multi_select": [{"name": i.replace(',', '')} for i in industries]}
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}
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if c_url: props["Website"] = {"url": c_url}
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page_id = create_page(token, hub_db_id, props)
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if page_id:
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competitor_map[c_name] = page_id
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print(f" - Created: {c_name}")
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# --- STEP 4: Import Landmines & Intel ---
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print("\nImporting Landmines & Intel...")
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for card in data.get('battlecards', []):
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c_name = card.get('competitor_name')
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comp_page_id = competitor_map.get(c_name)
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if not comp_page_id: continue
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# 1. Landmines
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for q in card.get('landmine_questions', []):
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props = {
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"Statement / Question": {"title": [{"text": {"content": q}}]},
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"Type": {"select": {"name": "Landmine Question"}},
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"Related Competitor": {"relation": [{"id": comp_page_id}]}
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}
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create_page(token, landmines_db_id, props)
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# 2. Weaknesses
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for point in card.get('strengths_vs_weaknesses', []):
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p_type = "Competitor Weakness"
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props = {
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"Statement / Question": {"title": [{"text": {"content": point}}]},
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"Type": {"select": {"name": p_type}},
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"Related Competitor": {"relation": [{"id": comp_page_id}]}
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}
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create_page(token, landmines_db_id, props)
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print(" - Landmines imported.")
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# --- STEP 5: Import References ---
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print("\nImporting References...")
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count_refs = 0
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for ref_group in data.get('reference_analysis', []):
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c_name = ref_group.get('competitor_name')
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comp_page_id = competitor_map.get(c_name)
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if not comp_page_id: continue
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for ref in ref_group.get('references', []):
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r_name = ref.get('name', 'Unknown')
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r_industry = ref.get('industry', 'Unknown')
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r_snippet = ref.get('testimonial_snippet', '')
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r_url = ref.get('case_study_url', '')
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props = {
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"Customer Name": {"title": [{"text": {"content": r_name}}]},
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"Industry": {"select": {"name": r_industry}},
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"Snippet": {"rich_text": [{"text": {"content": r_snippet[:2000]}}]},
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"Related Competitor": {"relation": [{"id": comp_page_id}]}
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}
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if r_url and r_url.startswith('http'):
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props["Case Study URL"] = {"url": r_url}
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create_page(token, refs_db_id, props)
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count_refs += 1
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print(f" - {count_refs} References imported.")
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# --- STEP 6: Import Products (Portfolio) ---
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print("\nImporting Products...")
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count_prods = 0
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for analysis in data.get('analyses', []):
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c_name = analysis.get('competitor', {}).get('name')
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comp_page_id = competitor_map.get(c_name)
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if not comp_page_id: continue
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for prod in analysis.get('portfolio', []):
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p_name = prod.get('product', 'Unknown Product')
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p_purpose = prod.get('purpose', '')
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props = {
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"Product Name": {"title": [{"text": {"content": p_name}}]},
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"Purpose / Description": {"rich_text": [{"text": {"content": p_purpose[:2000]}}]},
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"Related Competitor": {"relation": [{"id": comp_page_id}]}
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}
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create_page(token, products_db_id, props)
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count_prods += 1
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print(f" - {count_prods} Products imported.")
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print("\n✅ Relational Import Complete (Level 3)!")
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if __name__ == "__main__":
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main() |