tsukasa
369 lines
14 KiB
Python
369 lines
14 KiB
Python
"""
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Capture your email locally, and parse out the pictures in the email body and the pictures, videos and other files in the attachment. Subsequently, it supports vectorized analysis of your personal data and serves as a knowledge base to enable large language model answers. Better results.
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An example of a local file is as follows:
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├── data
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│ └── alex0072@gmail.com
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│ └── 5de3e52f3a6b90cabe6cbdd4ae3a5c5b
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│ ├── email.txt
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│ ├── meta.json
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│ ├── image
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│ │ ├── 0648B869@99C03070.DB94B354.jpg
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│ └── body_image
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│ ├── 11044884873.jpg
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│ ├── 282985198265470.gif
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│ └── dd-login-service-min.png
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"""
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import asyncio
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import datetime
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import sqlite3
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import imaplib
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import logging
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import mailparser
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import hashlib
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import json
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import base64
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from bs4 import BeautifulSoup
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import requests
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import os
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import toml
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from .storage import AIStorage, UserConfigItem
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from .knowledge_base import KnowledgeBase, ImageObjectBuilder, ObjectID, ObjectType, DocumentObjectBuilder
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class KnowledgeJournal:
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def __init__(self, source_type: str, source_id: str, item_id: str, object_id: str, timestamp=None):
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# define a timestamp variable
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self.timestamp = datetime.datetime.now() if timestamp is None else timestamp
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self.object_id = object_id
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self.source_type = source_type
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self.source_id = source_id
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self.item_id = item_id
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def __str__(self) -> str:
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if self.source_type == "dir":
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object_id = ObjectID.from_base58(self.object_id)
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object_type = None
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if object_id.get_object_type() == ObjectType.Image:
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object_type = "image"
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else:
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pass
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return f"Add {object_type} from {os.path.join(self.source_id, self.item_id)}"
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if self.source_type == "email":
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pass
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# init sqlite3 client
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class KnowledgeJournalClient:
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def __init__(self):
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knowledge_dir = os.path.join(AIStorage.get_instance().get_myai_dir(), "knowledge")
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if not os.path.exists(knowledge_dir):
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os.makedirs(knowledge_dir)
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self.journal_path = os.path.join(knowledge_dir, "journal.db")
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conn = sqlite3.connect(self.journal_path)
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conn.execute(
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'''CREATE TABLE IF NOT EXISTS journal (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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time DATETIME DEFAULT CURRENT_TIMESTAMP,
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source_type TEXT,
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source_id TEXT,
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item_id TEXT,
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object_id TEXT)'''
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)
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conn.commit()
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def insert(self, journal: KnowledgeJournal):
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conn = sqlite3.connect(self.journal_path)
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conn.execute(
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"INSERT INTO journal (time, source_type, source_id, item_id, object_id) VALUES (?, ?, ?, ?, ?)",
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(journal.timestamp, journal.source_type, journal.source_id, journal.item_id, journal.object_id),
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)
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conn.commit()
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def latest_journal(self, source_id: str) -> KnowledgeJournal:
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conn = sqlite3.connect(self.journal_path)
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cursor = conn.cursor()
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cursor.execute("SELECT * FROM journal WHERE source_id = ? ORDER BY id DESC LIMIT 1", (source_id,))
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result = cursor.fetchone()
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if result is None:
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return None
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else:
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(_, timestamp, source_type, sorce_id, item_id, object_id) = result
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return KnowledgeJournal(source_type, sorce_id, item_id, object_id, timestamp)
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def latest_journals(self, topn) -> [KnowledgeJournal]:
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conn = sqlite3.connect(self.journal_path)
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cursor = conn.cursor()
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cursor.execute("SELECT * FROM journal ORDER BY id DESC LIMIT ?", (topn,))
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return [KnowledgeJournal(source_type, sorce_id, item_id, object_id, timestamp) for (_, timestamp, source_type, sorce_id, item_id, object_id) in cursor.fetchall()]
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class KnowledgeEmailSource:
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def __init__(self, config:dict):
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self.config = config
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self.config["type"] = "email"
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def id(self):
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"::".join([self.config["imap_server"], self.config["address"]])
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@classmethod
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def user_config_items(cls):
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return [("address", "email address"),
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("password", "email password"),
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("imap_server", "imap server"),
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("imap_port", "imap port")
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]
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@classmethod
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def local_root(cls):
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user_data_dir = AIStorage.get_instance().get_myai_dir()
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return os.path.abspath(f"{user_data_dir}/email")
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async def run_once(self):
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# read config from toml file
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# and read from config config.local.toml if exists (config.local.toml is ignored by git)
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self.client = self.email_client()
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await self.read_emails()
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def email_client(self) -> imaplib.IMAP4_SSL:
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logging.info(f"read email config from {self.config.get('imap_server')}")
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client = imaplib.IMAP4_SSL(
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host=self.config.get('imap_server'),
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port=self.config.get('imap_port')
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)
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client.login(self.config.get('address'), self.config.get('password'))
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return client
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async def read_emails(self, folder: str = 'INBOX', imap_keyword: str = "UNSEEN"):
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self.client.select(folder)
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_, data = self.client.uid('search', None, imap_keyword)
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# get email uid list
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email_list = data[0].split()
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logging.info(f"got {len(email_list)} emails")
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email_list.reverse()
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for uid in email_list:
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if self.check_email_saved(uid):
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logging.info(f"email uid {uid} already saved")
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else:
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self.read_and_save_email(uid)
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logging.info(f"email uid {uid} saved")
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def read_and_save_email(self, uid: str):
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message_parts = "(BODY.PEEK[])"
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_, email_data = self.client.uid('fetch', uid, message_parts)
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mail = mailparser.parse_from_bytes(email_data[0][1])
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logging.info(f"got email subject [{mail.subject}]")
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self.save_email(mail)
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def get_local_dir_name(self, mail: mailparser.MailParser) -> str:
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dir = f"{self.local_root()}/{self.config.get('address')}"
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name = f"{mail.subject}__{mail.date}"
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name = hashlib.md5(name.encode('utf-8')).hexdigest()
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return f"{dir}/{name}"
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def check_email_saved(self, uid: str):
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message_parts = "(BODY[HEADER])"
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_, email_data = self.client.uid('fetch', uid, message_parts)
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mail = mailparser.parse_from_bytes(email_data[0][1])
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logging.info(f"[{uid}]check email subject [{mail.subject}]")
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dir = self.get_local_dir_name(mail)
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logging.info(f"check email saved {dir}")
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file = f"{dir}/email.txt"
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if os.path.exists(file):
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return False
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return False
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# save email attachment(images)
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def save_email_attachment(self, mail: mailparser.MailParser, email_dir: str):
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for attachment in mail.attachments:
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if attachment['mail_content_type'] in ['image/png', 'image/jpeg', 'image/gif']:
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print('current mail have image attachment')
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img_dir = f"{email_dir}/image"
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if not os.path.exists(img_dir):
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os.makedirs(img_dir)
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filename = attachment['filename']
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filefullname = f"{img_dir}/{filename}"
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image_data = attachment['payload']
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try:
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image_data = base64.b64decode(image_data)
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except base64.binascii.Error:
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image_data = image_data.encode()
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with open(filefullname, 'wb') as f:
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f.write(image_data)
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logging.info(f"save email image {filename} success")
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# save email body images(html content)
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def save_body_images(self, html_content: str, email_dir: str):
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# get all image urls
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soup = BeautifulSoup(html_content, 'html.parser')
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img_tags = soup.find_all('img')
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img_urls = [img['src'] for img in img_tags if 'src' in img.attrs]
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logging.info(f'Found {len(img_urls)} images in email body')
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if not os.path.exists(email_dir):
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os.makedirs(email_dir)
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for img_url in img_urls:
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# keep the original image filename(last of url)
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img_filename = os.path.join(email_dir, img_url.split('/')[-1])
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# download image
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response = requests.get(img_url, stream=True)
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if response.status_code == 200:
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with open(img_filename, 'wb') as img_file:
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for chunk in response.iter_content(1024):
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img_file.write(chunk)
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logging.info(f'Downloaded {img_url} to {img_filename}')
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else:
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logging.info(f'Failed to download {img_url}')
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# save email content to local dir
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def save_email(self, mail: mailparser.MailParser):
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dir = f"{self.local_root()}/{self.config.get('address')}"
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if not os.path.exists(dir):
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os.makedirs(dir)
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email_dir = self.get_local_dir_name(mail)
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logging.info(f"save email to {email_dir}")
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if not os.path.exists(email_dir):
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os.makedirs(email_dir)
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with open(f"{email_dir}/email.txt", "w") as f:
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f.write(mail.body)
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with open(f"{email_dir}/meta.json", "w", encoding='utf-8') as f:
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mail_dict = json.loads(mail.mail_json)
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if 'body' in mail_dict:
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del mail_dict['body']
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json.dump(mail_dict, f, ensure_ascii=False, indent=4)
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logging.info(f"save email meta info {f.name}")
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self.save_email_attachment(mail, email_dir)
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self.save_body_images(mail.body, f"{email_dir}/body_image")
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class KnowledgeDirSource:
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def __init__(self, config):
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self.config = config
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self.config["type"] = "dir"
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@classmethod
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def user_config_items(cls):
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return [("path", "local dir path")]
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def id(self):
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return self.config["path"]
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def path(self):
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return self.config["path"]
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async def run_once(self):
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logging.debug(f"knowledge dir source {self.id()} run once")
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journal_client = KnowledgeJournalClient()
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latest_journal = journal_client.latest_journal(self.id())
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if latest_journal is not None:
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if os.path.getmtime(self.path()) <= latest_journal.timestamp:
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logging.debug(f"knowledge dir source {self.id()} ingnored for no update")
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return
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file_pathes = sorted(os.listdir(self.path()), key=lambda x: os.path.getctime(os.path.join(self.path(), x)))
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for rel_path in file_pathes:
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file_path = os.path.join(self.path(), rel_path)
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timestamp = os.path.getctime(file_path)
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if latest_journal is not None:
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if timestamp <= latest_journal.timestamp:
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continue
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ext = os.path.splitext(file_path)[1].lower()
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if ext in ['.jpg', '.jpeg', '.png', '.gif', '.bmp']:
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logging.info(f"knowledge dir source {self.id()} found image file {file_path}")
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image = ImageObjectBuilder({}, {}, file_path).build()
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await KnowledgeBase().insert_object(image)
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journal_client.insert(KnowledgeJournal("dir", self.id(), rel_path, str(image.calculate_id()), timestamp))
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if ext in ['.txt']:
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logging.info(f"knowledge dir source {self.id()} found text file {file_path}")
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with open(file_path, "r", encoding="utf-8") as f:
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text = f.read()
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document = DocumentObjectBuilder({}, {}, text).build()
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await KnowledgeBase().insert_object(document)
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journal_client.insert(KnowledgeJournal("dir", self.id(), rel_path, str(document.calculate_id()), timestamp))
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# define singleton class knowledge pipline
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class KnowledgePipline:
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_instance = None
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@classmethod
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def get_instance(cls):
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if cls._instance is None:
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cls._instance = KnowledgePipline()
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cls._instance.__singleton_init__()
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return cls._instance
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def initial(self):
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config_path = self.__config_path()
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logging.info(f"initial knowledge pipline from {config_path}")
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if os.path.exists(config_path):
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config = toml.load(self.__config_path())
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for source_config in config["sources"]:
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if source_config['type'] == 'email':
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self.add_email_source(KnowledgeEmailSource(source_config))
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if source_config['type'] == 'dir':
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self.add_dir_source(KnowledgeDirSource(source_config))
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def __singleton_init__(self):
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self.knowledge_base = KnowledgeBase()
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self.email_sources = dict()
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self.dir_sources = dict()
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self.source_queue = list()
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self.run_lock = asyncio.Lock()
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asyncio.create_task(self.run_loop())
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def save_config(self):
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config = dict()
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config["sources"] = [source.config for source in self.source_queue]
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with open(self.__config_path(), "w") as f:
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toml.dump(config, f)
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@classmethod
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def __config_path(cls) -> str:
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user_data_dir = AIStorage.get_instance().get_myai_dir()
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return os.path.abspath(f"{user_data_dir}/etc/knowledge.cfg.toml")
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def add_email_source(self, source: KnowledgeEmailSource):
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if self.email_sources.get(source.id()) is not None:
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return "already exists"
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self.email_sources[source.id()] = source
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self.source_queue.append(source)
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return None
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def add_dir_source(self, source: KnowledgeDirSource):
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if self.dir_sources.get(source.id()) is not None:
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logging.info(f"knowledge add source {source.id()} failed for already exists")
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return "already exists"
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logging.info(f"knowledge added source {source.id()}")
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self.dir_sources[source.id()] = source
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self.source_queue.append(source)
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return None
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def get_latest_journals(self, topn) -> [KnowledgeJournal]:
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return KnowledgeJournalClient().latest_journals(topn)
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async def run_loop(self):
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while True:
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await self.run_once()
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await asyncio.sleep(5)
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async def run_once(self):
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logging.info(f"knowledge pipeline started")
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# sources = list()
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# async with self.run_lock:
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# for source in self.source_queue:
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# sources.append(source)
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# for source in sources:
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# await source.run_once()
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for source in self.source_queue:
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await source.run_once()
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