import logging import multiprocessing import os import random import shutil from functools import partial from typing import ( AbstractSet, Any, Callable, Dict, Iterable, List, Optional, Protocol, Set, Tuple, TypeVar, ) import orjson import requests from django.forms.models import model_to_dict from zerver.data_import.sequencer import NEXT_ID from zerver.lib.avatar_hash import user_avatar_path_from_ids from zerver.lib.stream_color import STREAM_ASSIGNMENT_COLORS as stream_colors from zerver.models import ( Attachment, Huddle, Message, Realm, RealmEmoji, Recipient, Stream, Subscription, UserProfile, ) # stubs ZerverFieldsT = Dict[str, Any] class SubscriberHandler: def __init__(self) -> None: self.stream_info: Dict[int, Set[int]] = {} self.huddle_info: Dict[int, Set[int]] = {} def set_info( self, users: Set[int], stream_id: Optional[int] = None, huddle_id: Optional[int] = None, ) -> None: if stream_id is not None: self.stream_info[stream_id] = users elif huddle_id is not None: self.huddle_info[huddle_id] = users else: raise AssertionError("stream_id or huddle_id is required") def get_users( self, stream_id: Optional[int] = None, huddle_id: Optional[int] = None ) -> Set[int]: if stream_id is not None: return self.stream_info[stream_id] elif huddle_id is not None: return self.huddle_info[huddle_id] else: raise AssertionError("stream_id or huddle_id is required") def build_zerver_realm( realm_id: int, realm_subdomain: str, time: float, other_product: str ) -> List[ZerverFieldsT]: realm = Realm( id=realm_id, date_created=time, name=realm_subdomain, string_id=realm_subdomain, description=f"Organization imported from {other_product}!", ) auth_methods = [[flag[0], flag[1]] for flag in realm.authentication_methods] realm_dict = model_to_dict(realm, exclude="authentication_methods") realm_dict["authentication_methods"] = auth_methods return [realm_dict] def build_user_profile( avatar_source: str, date_joined: Any, delivery_email: str, email: str, full_name: str, id: int, is_active: bool, role: int, is_mirror_dummy: bool, realm_id: int, short_name: str, timezone: Optional[str], is_bot: bool = False, bot_type: Optional[int] = None, ) -> ZerverFieldsT: obj = UserProfile( avatar_source=avatar_source, date_joined=date_joined, delivery_email=delivery_email, email=email, full_name=full_name, id=id, is_mirror_dummy=is_mirror_dummy, is_active=is_active, role=role, realm_id=realm_id, timezone=timezone, is_bot=is_bot, bot_type=bot_type, ) dct = model_to_dict(obj) """ Even though short_name is no longer in the Zulip UserProfile, it's helpful to have it in our import dictionaries for legacy reasons. """ dct["short_name"] = short_name return dct def build_avatar( zulip_user_id: int, realm_id: int, email: str, avatar_url: str, timestamp: Any, avatar_list: List[ZerverFieldsT], ) -> None: avatar = dict( path=avatar_url, # Save original avatar URL here, which is downloaded later realm_id=realm_id, content_type=None, user_profile_id=zulip_user_id, last_modified=timestamp, user_profile_email=email, s3_path="", size="", ) avatar_list.append(avatar) def make_subscriber_map(zerver_subscription: List[ZerverFieldsT]) -> Dict[int, Set[int]]: """ This can be convenient for building up UserMessage rows. """ subscriber_map: Dict[int, Set[int]] = {} for sub in zerver_subscription: user_id = sub["user_profile"] recipient_id = sub["recipient"] if recipient_id not in subscriber_map: subscriber_map[recipient_id] = set() subscriber_map[recipient_id].add(user_id) return subscriber_map def make_user_messages( zerver_message: List[ZerverFieldsT], subscriber_map: Dict[int, Set[int]], is_pm_data: bool, mention_map: Dict[int, Set[int]], wildcard_mention_map: Dict[int, bool] = {}, ) -> List[ZerverFieldsT]: zerver_usermessage = [] for message in zerver_message: message_id = message["id"] recipient_id = message["recipient"] sender_id = message["sender"] mention_user_ids = mention_map[message_id] wildcard_mention = wildcard_mention_map.get(message_id, False) subscriber_ids = subscriber_map.get(recipient_id, set()) user_ids = subscriber_ids | {sender_id} for user_id in user_ids: is_mentioned = user_id in mention_user_ids user_message = build_user_message( user_id=user_id, message_id=message_id, is_private=is_pm_data, is_mentioned=is_mentioned, wildcard_mention=wildcard_mention, ) zerver_usermessage.append(user_message) return zerver_usermessage def build_subscription(recipient_id: int, user_id: int, subscription_id: int) -> ZerverFieldsT: subscription = Subscription(color=random.choice(stream_colors), id=subscription_id) subscription_dict = model_to_dict(subscription, exclude=["user_profile", "recipient_id"]) subscription_dict["user_profile"] = user_id subscription_dict["recipient"] = recipient_id return subscription_dict class GetUsers(Protocol): def __call__(self, stream_id: int = ..., huddle_id: int = ...) -> Set[int]: ... def build_stream_subscriptions( get_users: GetUsers, zerver_recipient: List[ZerverFieldsT], zerver_stream: List[ZerverFieldsT], ) -> List[ZerverFieldsT]: subscriptions: List[ZerverFieldsT] = [] stream_ids = {stream["id"] for stream in zerver_stream} recipient_map = { recipient["id"]: recipient["type_id"] # recipient_id -> stream_id for recipient in zerver_recipient if recipient["type"] == Recipient.STREAM and recipient["type_id"] in stream_ids } for recipient_id, stream_id in recipient_map.items(): user_ids = get_users(stream_id=stream_id) for user_id in user_ids: subscription = build_subscription( recipient_id=recipient_id, user_id=user_id, subscription_id=NEXT_ID("subscription"), ) subscriptions.append(subscription) return subscriptions def build_huddle_subscriptions( get_users: GetUsers, zerver_recipient: List[ZerverFieldsT], zerver_huddle: List[ZerverFieldsT], ) -> List[ZerverFieldsT]: subscriptions: List[ZerverFieldsT] = [] huddle_ids = {huddle["id"] for huddle in zerver_huddle} recipient_map = { recipient["id"]: recipient["type_id"] # recipient_id -> stream_id for recipient in zerver_recipient if recipient["type"] == Recipient.HUDDLE and recipient["type_id"] in huddle_ids } for recipient_id, huddle_id in recipient_map.items(): user_ids = get_users(huddle_id=huddle_id) for user_id in user_ids: subscription = build_subscription( recipient_id=recipient_id, user_id=user_id, subscription_id=NEXT_ID("subscription"), ) subscriptions.append(subscription) return subscriptions def build_personal_subscriptions(zerver_recipient: List[ZerverFieldsT]) -> List[ZerverFieldsT]: subscriptions: List[ZerverFieldsT] = [] personal_recipients = [ recipient for recipient in zerver_recipient if recipient["type"] == Recipient.PERSONAL ] for recipient in personal_recipients: recipient_id = recipient["id"] user_id = recipient["type_id"] subscription = build_subscription( recipient_id=recipient_id, user_id=user_id, subscription_id=NEXT_ID("subscription"), ) subscriptions.append(subscription) return subscriptions def build_recipient(type_id: int, recipient_id: int, type: int) -> ZerverFieldsT: recipient = Recipient( type_id=type_id, # stream id id=recipient_id, type=type, ) recipient_dict = model_to_dict(recipient) return recipient_dict def build_recipients( zerver_userprofile: Iterable[ZerverFieldsT], zerver_stream: Iterable[ZerverFieldsT], zerver_huddle: Iterable[ZerverFieldsT] = [], ) -> List[ZerverFieldsT]: """ This function was only used HipChat import, this function may be required for future conversions. The Slack and Gitter conversions do it more tightly integrated with creating other objects. """ recipients = [] for user in zerver_userprofile: type_id = user["id"] type = Recipient.PERSONAL recipient = Recipient( type_id=type_id, id=NEXT_ID("recipient"), type=type, ) recipient_dict = model_to_dict(recipient) recipients.append(recipient_dict) for stream in zerver_stream: type_id = stream["id"] type = Recipient.STREAM recipient = Recipient( type_id=type_id, id=NEXT_ID("recipient"), type=type, ) recipient_dict = model_to_dict(recipient) recipients.append(recipient_dict) for huddle in zerver_huddle: type_id = huddle["id"] type = Recipient.HUDDLE recipient = Recipient( type_id=type_id, id=NEXT_ID("recipient"), type=type, ) recipient_dict = model_to_dict(recipient) recipients.append(recipient_dict) return recipients def build_realm( zerver_realm: List[ZerverFieldsT], realm_id: int, domain_name: str ) -> ZerverFieldsT: realm = dict( zerver_client=[ {"name": "populate_db", "id": 1}, {"name": "website", "id": 2}, {"name": "API", "id": 3}, ], zerver_customprofilefield=[], zerver_customprofilefieldvalue=[], zerver_userpresence=[], # shows last logged in data, which is not available zerver_userprofile_mirrordummy=[], zerver_realmdomain=[ {"realm": realm_id, "allow_subdomains": False, "domain": domain_name, "id": realm_id} ], zerver_useractivity=[], zerver_realm=zerver_realm, zerver_huddle=[], zerver_userprofile_crossrealm=[], zerver_useractivityinterval=[], zerver_reaction=[], zerver_realmemoji=[], zerver_realmfilter=[], zerver_realmplayground=[], ) return realm def build_usermessages( zerver_usermessage: List[ZerverFieldsT], subscriber_map: Dict[int, Set[int]], recipient_id: int, mentioned_user_ids: List[int], message_id: int, is_private: bool, long_term_idle: AbstractSet[int] = set(), ) -> Tuple[int, int]: user_ids = subscriber_map.get(recipient_id, set()) user_messages_created = 0 user_messages_skipped = 0 if user_ids: for user_id in sorted(user_ids): is_mentioned = user_id in mentioned_user_ids if not is_mentioned and not is_private and user_id in long_term_idle: # these users are long-term idle user_messages_skipped += 1 continue user_messages_created += 1 usermessage = build_user_message( user_id=user_id, message_id=message_id, is_private=is_private, is_mentioned=is_mentioned, ) zerver_usermessage.append(usermessage) return (user_messages_created, user_messages_skipped) def build_user_message( user_id: int, message_id: int, is_private: bool, is_mentioned: bool, wildcard_mention: bool = False, ) -> ZerverFieldsT: flags_mask = 1 # For read if is_mentioned: flags_mask += 8 # For mentioned if wildcard_mention: flags_mask += 16 if is_private: flags_mask += 2048 # For is_private id = NEXT_ID("user_message") usermessage = dict( id=id, user_profile=user_id, message=message_id, flags_mask=flags_mask, ) return usermessage def build_defaultstream(realm_id: int, stream_id: int, defaultstream_id: int) -> ZerverFieldsT: defaultstream = dict(stream=stream_id, realm=realm_id, id=defaultstream_id) return defaultstream def build_stream( date_created: Any, realm_id: int, name: str, description: str, stream_id: int, deactivated: bool = False, invite_only: bool = False, stream_post_policy: int = 1, ) -> ZerverFieldsT: # Other applications don't have the distinction of "private stream with public history" # vs "private stream with hidden history" - and we've traditionally imported private "streams" # of other products as private streams with hidden history. # So we can set the history_public_to_subscribers value based on the invite_only flag. history_public_to_subscribers = not invite_only stream = Stream( name=name, deactivated=deactivated, description=description.replace("\n", " "), # We don't set rendered_description here; it'll be added on import date_created=date_created, invite_only=invite_only, id=stream_id, stream_post_policy=stream_post_policy, history_public_to_subscribers=history_public_to_subscribers, ) stream_dict = model_to_dict(stream, exclude=["realm"]) stream_dict["realm"] = realm_id return stream_dict def build_huddle(huddle_id: int) -> ZerverFieldsT: huddle = Huddle( id=huddle_id, ) return model_to_dict(huddle) def build_message( topic_name: str, date_sent: float, message_id: int, content: str, rendered_content: Optional[str], user_id: int, recipient_id: int, has_image: bool = False, has_link: bool = False, has_attachment: bool = True, ) -> ZerverFieldsT: zulip_message = Message( rendered_content_version=1, # this is Zulip specific date_sent=date_sent, id=message_id, content=content, rendered_content=rendered_content, has_image=has_image, has_attachment=has_attachment, has_link=has_link, ) zulip_message.set_topic_name(topic_name) zulip_message_dict = model_to_dict( zulip_message, exclude=["recipient", "sender", "sending_client"] ) zulip_message_dict["sender"] = user_id zulip_message_dict["sending_client"] = 1 zulip_message_dict["recipient"] = recipient_id return zulip_message_dict def build_attachment( realm_id: int, message_ids: Set[int], user_id: int, fileinfo: ZerverFieldsT, s3_path: str, zerver_attachment: List[ZerverFieldsT], ) -> None: """ This function should be passed a 'fileinfo' dictionary, which contains information about 'size', 'created' (created time) and ['name'] (filename). """ attachment_id = NEXT_ID("attachment") attachment = Attachment( id=attachment_id, size=fileinfo["size"], create_time=fileinfo["created"], is_realm_public=True, path_id=s3_path, file_name=fileinfo["name"], ) attachment_dict = model_to_dict(attachment, exclude=["owner", "messages", "realm"]) attachment_dict["owner"] = user_id attachment_dict["messages"] = list(message_ids) attachment_dict["realm"] = realm_id zerver_attachment.append(attachment_dict) def get_avatar(avatar_dir: str, size_url_suffix: str, avatar_upload_item: List[str]) -> None: avatar_url = avatar_upload_item[0] image_path = os.path.join(avatar_dir, avatar_upload_item[1]) original_image_path = os.path.join(avatar_dir, avatar_upload_item[2]) response = requests.get(avatar_url + size_url_suffix, stream=True) with open(image_path, "wb") as image_file: shutil.copyfileobj(response.raw, image_file) shutil.copy(image_path, original_image_path) def process_avatars( avatar_list: List[ZerverFieldsT], avatar_dir: str, realm_id: int, threads: int, size_url_suffix: str = "", ) -> List[ZerverFieldsT]: """ This function gets the avatar of the user and saves it in the user's avatar directory with both the extensions '.png' and '.original' Required parameters: 1. avatar_list: List of avatars to be mapped in avatars records.json file 2. avatar_dir: Folder where the downloaded avatars are saved 3. realm_id: Realm ID. We use this for Slack and Gitter conversions, where avatars need to be downloaded. For simpler conversions see write_avatar_png. """ logging.info("######### GETTING AVATARS #########\n") logging.info("DOWNLOADING AVATARS .......\n") avatar_original_list = [] avatar_upload_list = [] for avatar in avatar_list: avatar_hash = user_avatar_path_from_ids(avatar["user_profile_id"], realm_id) avatar_url = avatar["path"] avatar_original = dict(avatar) image_path = f"{avatar_hash}.png" original_image_path = f"{avatar_hash}.original" avatar_upload_list.append([avatar_url, image_path, original_image_path]) # We don't add the size field here in avatar's records.json, # since the metadata is not needed on the import end, and we # don't have it until we've downloaded the files anyway. avatar["path"] = image_path avatar["s3_path"] = image_path avatar_original["path"] = original_image_path avatar_original["s3_path"] = original_image_path avatar_original_list.append(avatar_original) # Run downloads in parallel run_parallel_wrapper( partial(get_avatar, avatar_dir, size_url_suffix), avatar_upload_list, threads=threads ) logging.info("######### GETTING AVATARS FINISHED #########\n") return avatar_list + avatar_original_list ListJobData = TypeVar("ListJobData") def wrapping_function(f: Callable[[ListJobData], None], item: ListJobData) -> None: try: f(item) except Exception: logging.exception("Error processing item: %s", item, stack_info=True) def run_parallel_wrapper( f: Callable[[ListJobData], None], full_items: List[ListJobData], threads: int = 6 ) -> None: logging.info("Distributing %s items across %s threads", len(full_items), threads) with multiprocessing.Pool(threads) as p: count = 0 for out in p.imap_unordered(partial(wrapping_function, f), full_items): count += 1 if count % 1000 == 0: logging.info("Finished %s items", count) def get_uploads(upload_dir: str, upload: List[str]) -> None: upload_url = upload[0] upload_path = upload[1] upload_path = os.path.join(upload_dir, upload_path) response = requests.get(upload_url, stream=True) os.makedirs(os.path.dirname(upload_path), exist_ok=True) with open(upload_path, "wb") as upload_file: shutil.copyfileobj(response.raw, upload_file) def process_uploads( upload_list: List[ZerverFieldsT], upload_dir: str, threads: int ) -> List[ZerverFieldsT]: """ This function downloads the uploads and saves it in the realm's upload directory. Required parameters: 1. upload_list: List of uploads to be mapped in uploads records.json file 2. upload_dir: Folder where the downloaded uploads are saved """ logging.info("######### GETTING ATTACHMENTS #########\n") logging.info("DOWNLOADING ATTACHMENTS .......\n") upload_url_list = [] for upload in upload_list: upload_url = upload["path"] upload_s3_path = upload["s3_path"] upload_url_list.append([upload_url, upload_s3_path]) upload["path"] = upload_s3_path # Run downloads in parallel run_parallel_wrapper(partial(get_uploads, upload_dir), upload_url_list, threads=threads) logging.info("######### GETTING ATTACHMENTS FINISHED #########\n") return upload_list def build_realm_emoji(realm_id: int, name: str, id: int, file_name: str) -> ZerverFieldsT: return model_to_dict( RealmEmoji( realm_id=realm_id, name=name, id=id, file_name=file_name, ), ) def get_emojis(emoji_dir: str, upload: List[str]) -> None: emoji_url = upload[0] emoji_path = upload[1] upload_emoji_path = os.path.join(emoji_dir, emoji_path) response = requests.get(emoji_url, stream=True) os.makedirs(os.path.dirname(upload_emoji_path), exist_ok=True) with open(upload_emoji_path, "wb") as emoji_file: shutil.copyfileobj(response.raw, emoji_file) def process_emojis( zerver_realmemoji: List[ZerverFieldsT], emoji_dir: str, emoji_url_map: ZerverFieldsT, threads: int, ) -> List[ZerverFieldsT]: """ This function downloads the custom emojis and saves in the output emoji folder. Required parameters: 1. zerver_realmemoji: List of all RealmEmoji objects to be imported 2. emoji_dir: Folder where the downloaded emojis are saved 3. emoji_url_map: Maps emoji name to its url """ emoji_records = [] upload_emoji_list = [] logging.info("######### GETTING EMOJIS #########\n") logging.info("DOWNLOADING EMOJIS .......\n") for emoji in zerver_realmemoji: emoji_url = emoji_url_map[emoji["name"]] emoji_path = RealmEmoji.PATH_ID_TEMPLATE.format( realm_id=emoji["realm"], emoji_file_name=emoji["name"] ) upload_emoji_list.append([emoji_url, emoji_path]) emoji_record = dict(emoji) emoji_record["path"] = emoji_path emoji_record["s3_path"] = emoji_path emoji_record["realm_id"] = emoji_record["realm"] emoji_record.pop("realm") emoji_records.append(emoji_record) # Run downloads in parallel run_parallel_wrapper(partial(get_emojis, emoji_dir), upload_emoji_list, threads=threads) logging.info("######### GETTING EMOJIS FINISHED #########\n") return emoji_records def create_converted_data_files(data: Any, output_dir: str, file_path: str) -> None: output_file = output_dir + file_path os.makedirs(os.path.dirname(output_file), exist_ok=True) with open(output_file, "wb") as fp: fp.write(orjson.dumps(data, option=orjson.OPT_INDENT_2))