widgettdc-api / apps /backend /python /outlook_local_harvest.py
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#!/usr/bin/env python3
"""
🔓 LOCAL OUTLOOK HARVESTER - Ingen admin nødvendig!
Læser direkte fra din lokale Outlook installation via COM
Krav: Outlook installeret og logget ind med din TDC konto
"""
import win32com.client
import pythoncom
import json
import hashlib
from pathlib import Path
from datetime import datetime, timedelta
from neo4j import GraphDatabase
NEO4J_URI = "neo4j+s://054eff27.databases.neo4j.io"
NEO4J_USER = "neo4j"
NEO4J_PASSWORD = "Qrt37mkb0xBZ7_ts5tG1J70K2mVDGPMF2L7Njlm7cg8"
# Søgetermer for TDC intern data
SEARCH_KEYWORDS = [
"strategi",
"cyber",
"NIS2",
"SOC",
"MDR",
"cloud",
"Azure",
"AI",
"Copilot",
"Columbus",
"ERP",
"budget",
"forecast",
"kunde",
"kontrakt",
"rammeaftale",
"SKI",
"produkt",
"CloudKey",
"arkitektur",
"roadmap"
]
class LocalOutlookHarvester:
"""Harvester der læser direkte fra lokal Outlook via COM"""
def __init__(self):
pythoncom.CoInitialize()
self.outlook = None
self.namespace = None
self.emails = []
self.stats = {
"folders_scanned": 0,
"emails_found": 0,
"emails_matched": 0,
"attachments": 0
}
# Neo4j
self.neo4j = GraphDatabase.driver(NEO4J_URI, auth=(NEO4J_USER, NEO4J_PASSWORD))
# Output
self.output_dir = Path("data/outlook_local_harvest")
self.output_dir.mkdir(parents=True, exist_ok=True)
def connect(self) -> bool:
"""Forbind til lokal Outlook"""
try:
print("🔌 Forbinder til Outlook...")
self.outlook = win32com.client.Dispatch("Outlook.Application")
self.namespace = self.outlook.GetNamespace("MAPI")
# Vis konti
accounts = self.namespace.Accounts
print(f"✅ Outlook forbundet!")
print(f" Konti fundet: {accounts.Count}")
for i in range(1, accounts.Count + 1):
acc = accounts.Item(i)
print(f" • {acc.DisplayName} ({acc.SmtpAddress})")
return True
except Exception as e:
print(f"❌ Kunne ikke forbinde til Outlook: {e}")
print(" Sørg for at Outlook er installeret og kører")
return False
def get_folders(self, parent=None, level=0):
"""Rekursivt hent alle mapper"""
folders = []
try:
if parent is None:
# Start fra root
for store in self.namespace.Stores:
try:
root = store.GetRootFolder()
folders.append({
"name": store.DisplayName,
"path": store.DisplayName,
"folder": root,
"level": 0
})
folders.extend(self.get_folders(root, 1))
except:
continue
else:
for folder in parent.Folders:
try:
path = f"{parent.FolderPath}\\{folder.Name}"
folders.append({
"name": folder.Name,
"path": path,
"folder": folder,
"level": level
})
if level < 3: # Max 3 niveauer dybt
folders.extend(self.get_folders(folder, level + 1))
except:
continue
except:
pass
return folders
def search_folder(self, folder_info: dict, keywords: list, days_back: int = 365) -> list:
"""Søg i en mappe efter keywords"""
results = []
folder = folder_info["folder"]
try:
items = folder.Items
items.Sort("[ReceivedTime]", True) # Nyeste først
# Filtrer på dato
cutoff = datetime.now() - timedelta(days=days_back)
count = 0
for item in items:
try:
# Check om det er en mail
if item.Class != 43: # 43 = MailItem
continue
# Check dato
received = item.ReceivedTime
if hasattr(received, 'year') and datetime(received.year, received.month, received.day) < cutoff:
continue
# Søg i subject og body
subject = str(item.Subject or "").lower()
body = str(item.Body or "")[:2000].lower()
sender = str(item.SenderEmailAddress or "")
# Match keywords
matched_keywords = []
for kw in keywords:
if kw.lower() in subject or kw.lower() in body:
matched_keywords.append(kw)
if matched_keywords:
# Hent attachments info
attachments = []
try:
for att in item.Attachments:
attachments.append({
"name": att.FileName,
"size": att.Size if hasattr(att, 'Size') else 0
})
self.stats["attachments"] += 1
except:
pass
results.append({
"id": item.EntryID,
"subject": item.Subject,
"sender": sender,
"sender_name": str(item.SenderName or ""),
"received": received.strftime("%Y-%m-%d %H:%M") if hasattr(received, 'strftime') else str(received),
"body_preview": body[:500],
"folder": folder_info["path"],
"keywords": matched_keywords,
"has_attachments": len(attachments) > 0,
"attachments": attachments[:5], # Max 5
"importance": item.Importance,
"categories": str(item.Categories or "")
})
self.stats["emails_matched"] += 1
count += 1
self.stats["emails_found"] += 1
# Progress
if count % 100 == 0:
print(f" Scannet {count} emails...", end="\r")
# Limit per mappe
if count >= 1000:
break
except Exception as e:
continue
except Exception as e:
pass
return results
def save_to_neo4j(self, email: dict):
"""Gem email i Neo4j"""
content_hash = hashlib.md5(f"{email['subject']}:{email['id']}".encode()).hexdigest()
with self.neo4j.session() as session:
# Opret email node
session.run("""
MERGE (e:OutlookEmail {contentHash: $hash})
ON CREATE SET
e.entryId = $id,
e.subject = $subject,
e.sender = $sender,
e.senderName = $senderName,
e.received = $received,
e.bodyPreview = $body,
e.folder = $folder,
e.keywords = $keywords,
e.hasAttachments = $hasAtt,
e.importance = $importance,
e.harvestedAt = datetime()
ON MATCH SET
e.lastSeen = datetime()
MERGE (ds:DataSource {name: 'TDC_Outlook_Local'})
ON CREATE SET ds.type = 'local_exchange'
MERGE (e)-[:HARVESTED_FROM]->(ds)
""",
hash=content_hash,
id=email["id"],
subject=email["subject"][:500],
sender=email["sender"],
senderName=email["sender_name"],
received=email["received"],
body=email["body_preview"],
folder=email["folder"],
keywords=email["keywords"],
hasAtt=email["has_attachments"],
importance=email["importance"]
)
# Opret keyword relationships
for kw in email["keywords"]:
session.run("""
MERGE (k:SearchKeyword {name: $kw})
WITH k
MATCH (e:OutlookEmail {contentHash: $hash})
MERGE (e)-[:MATCHES_KEYWORD]->(k)
""", kw=kw, hash=content_hash)
def run(self, days_back: int = 365):
"""Kør fuld harvest"""
print("\n" + "=" * 60)
print("🔓 LOCAL OUTLOOK HARVESTER")
print(" Ingen admin nødvendig!")
print("=" * 60)
if not self.connect():
return
# Hent alle mapper
print("\n📁 Scanner mapper...")
folders = self.get_folders()
print(f" Fundet {len(folders)} mapper")
# Filtrer til relevante mapper
relevant_folders = []
skip_names = ["Junk", "Spam", "Deleted", "Drafts", "Outbox", "Slettet", "Kladder", "Udbakke"]
for f in folders:
if not any(skip in f["name"] for skip in skip_names):
relevant_folders.append(f)
print(f" Relevante mapper: {len(relevant_folders)}")
# Søg i hver mappe
print(f"\n🔍 Søger efter {len(SEARCH_KEYWORDS)} keywords...")
print(f" Periode: Sidste {days_back} dage")
all_results = []
for i, folder_info in enumerate(relevant_folders):
indent = " " * folder_info["level"]
print(f"\n{indent}📂 {folder_info['name']}")
results = self.search_folder(folder_info, SEARCH_KEYWORDS, days_back)
self.stats["folders_scanned"] += 1
if results:
print(f"{indent}{len(results)} matches!")
for email in results:
# Gem i Neo4j
self.save_to_neo4j(email)
all_results.append(email)
# Gem lokal JSON
output_file = self.output_dir / f"outlook_harvest_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json"
with open(output_file, 'w', encoding='utf-8') as f:
json.dump({
"timestamp": datetime.now().isoformat(),
"stats": self.stats,
"keywords": SEARCH_KEYWORDS,
"emails": all_results
}, f, indent=2, ensure_ascii=False)
# Summary
print("\n" + "=" * 60)
print("📊 HARVEST COMPLETE")
print("=" * 60)
print(f" 📁 Mapper scannet: {self.stats['folders_scanned']}")
print(f" 📧 Emails gennemgået: {self.stats['emails_found']}")
print(f" ✅ Emails matched: {self.stats['emails_matched']}")
print(f" 📎 Attachments: {self.stats['attachments']}")
print(f"\n 💾 Saved: {output_file}")
print("=" * 60)
# Top keywords
if all_results:
print("\n🏷️ TOP KEYWORDS:")
keyword_counts = {}
for email in all_results:
for kw in email["keywords"]:
keyword_counts[kw] = keyword_counts.get(kw, 0) + 1
for kw, count in sorted(keyword_counts.items(), key=lambda x: -x[1])[:10]:
print(f" • {kw}: {count} emails")
self.neo4j.close()
pythoncom.CoUninitialize()
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser(description="Local Outlook Harvester")
parser.add_argument("--days", type=int, default=365, help="Dage tilbage at søge (default: 365)")
args = parser.parse_args()
harvester = LocalOutlookHarvester()
harvester.run(args.days)