zulip/zerver/data_import/import_util.py

815 lines
25 KiB
Python

import logging
import os
import random
import shutil
from collections import defaultdict
from concurrent.futures import ProcessPoolExecutor, as_completed
from typing import (
AbstractSet,
Any,
Callable,
Dict,
Iterable,
Iterator,
List,
Mapping,
Optional,
Protocol,
Set,
Tuple,
TypeVar,
)
import orjson
import requests
from django.forms.models import model_to_dict
from django.utils.timezone import now as timezone_now
from typing_extensions import TypeAlias
from zerver.data_import.sequencer import NEXT_ID
from zerver.lib.avatar_hash import user_avatar_base_path_from_ids
from zerver.lib.partial import partial
from zerver.lib.stream_color import STREAM_ASSIGNMENT_COLORS as STREAM_COLORS
from zerver.models import (
Attachment,
DirectMessageGroup,
Message,
Realm,
RealmEmoji,
Recipient,
Stream,
Subscription,
UserProfile,
)
from zproject.backends import all_default_backend_names
# stubs
ZerverFieldsT: TypeAlias = Dict[str, Any]
class SubscriberHandler:
def __init__(self) -> None:
self.stream_info: Dict[int, Set[int]] = {}
self.direct_message_group_info: Dict[int, Set[int]] = {}
def set_info(
self,
users: Set[int],
stream_id: Optional[int] = None,
direct_message_group_id: Optional[int] = None,
) -> None:
if stream_id is not None:
self.stream_info[stream_id] = users
elif direct_message_group_id is not None:
self.direct_message_group_info[direct_message_group_id] = users
else:
raise AssertionError("stream_id or direct_message_group_id is required")
def get_users(
self, stream_id: Optional[int] = None, direct_message_group_id: Optional[int] = None
) -> Set[int]:
if stream_id is not None:
return self.stream_info[stream_id]
elif direct_message_group_id is not None:
return self.direct_message_group_info[direct_message_group_id]
else:
raise AssertionError("stream_id or direct_message_group_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,
name=realm_subdomain,
string_id=realm_subdomain,
description=f"Organization imported from {other_product}!",
)
realm_dict = model_to_dict(realm)
realm_dict["date_created"] = time
# These fields are supposed to be generated upon import.
del realm_dict["uuid"]
del realm_dict["uuid_owner_secret"]
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: 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,
avatar_version=1,
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: Mapping[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 = ..., direct_message_group_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_direct_message_group_subscriptions(
get_users: GetUsers,
zerver_recipient: List[ZerverFieldsT],
zerver_direct_message_group: List[ZerverFieldsT],
) -> List[ZerverFieldsT]:
subscriptions: List[ZerverFieldsT] = []
direct_message_group_ids = {
direct_message_group["id"] for direct_message_group in zerver_direct_message_group
}
recipient_map = {
recipient["id"]: recipient["type_id"] # recipient_id -> stream_id
for recipient in zerver_recipient
if recipient["type"] == Recipient.DIRECT_MESSAGE_GROUP
and recipient["type_id"] in direct_message_group_ids
}
for recipient_id, direct_message_group_id in recipient_map.items():
user_ids = get_users(direct_message_group_id=direct_message_group_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_direct_message_group: Iterable[ZerverFieldsT] = [],
) -> List[ZerverFieldsT]:
"""
This function was only used HipChat import, this function may be
required for future conversions. The Slack 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 direct_message_group in zerver_direct_message_group:
type_id = direct_message_group["id"]
type = Recipient.DIRECT_MESSAGE_GROUP
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=[],
zerver_realmauthenticationmethod=[
{"realm": realm_id, "name": name, "id": i}
for i, name in enumerate(all_default_backend_names(), start=1)
],
)
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_direct_message_group(direct_message_group_id: int) -> ZerverFieldsT:
direct_message_group = DirectMessageGroup(
id=direct_message_group_id,
)
return model_to_dict(direct_message_group)
def build_message(
*,
topic_name: str,
date_sent: float,
message_id: int,
content: str,
rendered_content: Optional[str],
user_id: int,
recipient_id: int,
realm_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
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
zulip_message_dict["date_sent"] = date_sent
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 conversions, where avatars need to be
downloaded.
"""
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_base_path_from_ids(
avatar["user_profile_id"], avatar["avatar_version"], 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["content_type"] = "image/png"
avatar_original["path"] = original_image_path
avatar_original["s3_path"] = original_image_path
avatar_original["content_type"] = "image/png"
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 ProcessPoolExecutor(max_workers=threads) as executor:
for count, future in enumerate(
as_completed(executor.submit(wrapping_function, f, item) for item in full_items), 1
):
future.result()
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))
# External user-id
ExternalId = TypeVar("ExternalId")
def long_term_idle_helper(
message_iterator: Iterator[ZerverFieldsT],
user_from_message: Callable[[ZerverFieldsT], Optional[ExternalId]],
timestamp_from_message: Callable[[ZerverFieldsT], float],
zulip_user_id_from_user: Callable[[ExternalId], int],
all_user_ids_iterator: Iterator[ExternalId],
zerver_userprofile: List[ZerverFieldsT],
) -> Set[int]:
"""Algorithmically, we treat users who have sent at least 10 messages
or have sent a message within the last 60 days as active.
Everyone else is treated as long-term idle, which means they will
have a slightly slower first page load when coming back to
Zulip.
"""
sender_counts: Dict[ExternalId, int] = defaultdict(int)
recent_senders: Set[ExternalId] = set()
NOW = float(timezone_now().timestamp())
for message in message_iterator:
timestamp = timestamp_from_message(message)
user = user_from_message(message)
if user is None:
continue
if user in recent_senders:
continue
if NOW - timestamp < 60 * 24 * 60 * 60:
recent_senders.add(user)
sender_counts[user] += 1
for user, count in sender_counts.items():
if count > 10:
recent_senders.add(user)
long_term_idle = set()
for user_id in all_user_ids_iterator:
if user_id in recent_senders:
continue
zulip_user_id = zulip_user_id_from_user(user_id)
long_term_idle.add(zulip_user_id)
for user_profile_row in zerver_userprofile:
if user_profile_row["id"] in long_term_idle:
user_profile_row["long_term_idle"] = True
# Setting last_active_message_id to 1 means the user, if
# imported, will get the full message history for the
# streams they were on.
user_profile_row["last_active_message_id"] = 1
return long_term_idle