Merge branch 'develop' of git.pleroma.social:pleroma/pleroma into feature/local-only-scope

This commit is contained in:
lain 2020-11-17 15:01:38 +01:00
commit fec1ed802e
214 changed files with 2561 additions and 1646 deletions

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@ -116,6 +116,10 @@ The modified chat message
This will return a list of chats that you have been involved in, sorted by their
last update (so new chats will be at the top).
Parameters:
- with_muted: Include chats from muted users (boolean).
Returned data:
```json

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@ -9,9 +9,13 @@ Pleroma uses 128-bit ids as opposed to Mastodon's 64 bits. However just like Mas
## Timelines
Adding the parameter `with_muted=true` to the timeline queries will also return activities by muted (not by blocked!) users.
Adding the parameter `exclude_visibilities` to the timeline queries will exclude the statuses with the given visibilities. The parameter accepts an array of visibility types (`public`, `unlisted`, `private`, `direct`), e.g., `exclude_visibilities[]=direct&exclude_visibilities[]=private`.
Adding the parameter `reply_visibility` to the public and home timelines queries will filter replies. Possible values: without parameter (default) shows all replies, `following` - replies directed to you or users you follow, `self` - replies directed to you.
Adding the parameter `instance=lain.com` to the public timeline will show only statuses originating from `lain.com` (or any remote instance).
## Statuses
- `visibility`: has additional possible values `list` and `local` (for local-only statuses)
@ -125,12 +129,30 @@ The `type` value is `pleroma:emoji_reaction`. Has these fields:
- `account`: The account of the user who reacted
- `status`: The status that was reacted on
### ChatMention Notification (not default)
This notification has to be requested explicitly.
The `type` value is `pleroma:chat_mention`
- `account`: The account who sent the message
- `chat_message`: The chat message
### Report Notification (not default)
This notification has to be requested explicitly.
The `type` value is `pleroma:report`
- `account`: The account who reported
- `report`: The report
## GET `/api/v1/notifications`
Accepts additional parameters:
- `exclude_visibilities`: will exclude the notifications for activities with the given visibilities. The parameter accepts an array of visibility types (`public`, `unlisted`, `private`, `direct`). Usage example: `GET /api/v1/notifications?exclude_visibilities[]=direct&exclude_visibilities[]=private`.
- `include_types`: will include the notifications for activities with the given types. The parameter accepts an array of types (`mention`, `follow`, `reblog`, `favourite`, `move`, `pleroma:emoji_reaction`). Usage example: `GET /api/v1/notifications?include_types[]=mention&include_types[]=reblog`.
- `include_types`: will include the notifications for activities with the given types. The parameter accepts an array of types (`mention`, `follow`, `reblog`, `favourite`, `move`, `pleroma:emoji_reaction`, `pleroma:chat_mention`, `pleroma:report`). Usage example: `GET /api/v1/notifications?include_types[]=mention&include_types[]=reblog`.
## DELETE `/api/v1/notifications/destroy_multiple`
@ -249,6 +271,12 @@ Has these additional fields under the `pleroma` object:
There is an additional `user:pleroma_chat` stream. Incoming chat messages will make the current chat be sent to this `user` stream. The `event` of an incoming chat message is `pleroma:chat_update`. The payload is the updated chat with the incoming chat message in the `last_message` field.
For viewing remote server timelines, there are `public:remote` and `public:remote:media` streams. Each of these accept a parameter like `?instance=lain.com`.
## User muting and thread muting
Both user muting and thread muting can be done for only a certain time by adding an `expires_in` parameter to the API calls and giving the expiration time in seconds.
## Not implemented
Pleroma is generally compatible with the Mastodon 2.7.2 API, but some newer features and non-essential features are omitted. These features usually return an HTTP 200 status code, but with an empty response. While they may be added in the future, they are considered low priority.

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@ -1,9 +0,0 @@
# Generate release environment file
```sh tab="OTP"
./bin/pleroma_ctl release_env gen
```
```sh tab="From Source"
mix pleroma.release_env gen
```

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@ -0,0 +1,136 @@
# Configuring Ejabberd (XMPP Server) to use Pleroma for authentication
If you want to give your Pleroma users an XMPP (chat) account, you can configure [Ejabberd](https://github.com/processone/ejabberd) to use your Pleroma server for user authentication, automatically giving every local user an XMPP account.
In general, you just have to follow the configuration described at [https://docs.ejabberd.im/admin/configuration/authentication/#external-script](https://docs.ejabberd.im/admin/configuration/authentication/#external-script). Please read this section carefully.
Copy the script below to suitable path on your system and set owner and permissions. Also do not forget adjusting `PLEROMA_HOST` and `PLEROMA_PORT`, if necessary.
```bash
cp pleroma_ejabberd_auth.py /etc/ejabberd/pleroma_ejabberd_auth.py
chown ejabberd /etc/ejabberd/pleroma_ejabberd_auth.py
chmod 700 /etc/ejabberd/pleroma_ejabberd_auth.py
```
Set external auth params in ejabberd.yaml file:
```bash
auth_method: [external]
extauth_program: "python3 /etc/ejabberd/pleroma_ejabberd_auth.py"
extauth_instances: 3
auth_use_cache: false
```
Restart / reload your ejabberd service.
After restarting your Ejabberd server, your users should now be able to connect with their Pleroma credentials.
```python
import sys
import struct
import http.client
from base64 import b64encode
import logging
PLEROMA_HOST = "127.0.0.1"
PLEROMA_PORT = "4000"
AUTH_ENDPOINT = "/api/v1/accounts/verify_credentials"
USER_ENDPOINT = "/api/v1/accounts"
LOGFILE = "/var/log/ejabberd/pleroma_auth.log"
logging.basicConfig(filename=LOGFILE, level=logging.INFO)
# Pleroma functions
def create_connection():
return http.client.HTTPConnection(PLEROMA_HOST, PLEROMA_PORT)
def verify_credentials(user: str, password: str) -> bool:
user_pass_b64 = b64encode("{}:{}".format(
user, password).encode('utf-8')).decode("ascii")
params = {}
headers = {
"Authorization": "Basic {}".format(user_pass_b64)
}
try:
conn = create_connection()
conn.request("GET", AUTH_ENDPOINT, params, headers)
response = conn.getresponse()
if response.status == 200:
return True
return False
except Exception as e:
logging.info("Can not connect: %s", str(e))
return False
def does_user_exist(user: str) -> bool:
conn = create_connection()
conn.request("GET", "{}/{}".format(USER_ENDPOINT, user))
response = conn.getresponse()
if response.status == 200:
return True
return False
def auth(username: str, server: str, password: str) -> bool:
return verify_credentials(username, password)
def isuser(username, server):
return does_user_exist(username)
def read():
(pkt_size,) = struct.unpack('>H', bytes(sys.stdin.read(2), encoding='utf8'))
pkt = sys.stdin.read(pkt_size)
cmd = pkt.split(':')[0]
if cmd == 'auth':
username, server, password = pkt.split(':', 3)[1:]
write(auth(username, server, password))
elif cmd == 'isuser':
username, server = pkt.split(':', 2)[1:]
write(isuser(username, server))
elif cmd == 'setpass':
# u, s, p = pkt.split(':', 3)[1:]
write(False)
elif cmd == 'tryregister':
# u, s, p = pkt.split(':', 3)[1:]
write(False)
elif cmd == 'removeuser':
# u, s = pkt.split(':', 2)[1:]
write(False)
elif cmd == 'removeuser3':
# u, s, p = pkt.split(':', 3)[1:]
write(False)
else:
write(False)
def write(result):
if result:
sys.stdout.write('\x00\x02\x00\x01')
else:
sys.stdout.write('\x00\x02\x00\x00')
sys.stdout.flush()
if __name__ == "__main__":
logging.info("Starting pleroma ejabberd auth daemon...")
while True:
try:
read()
except Exception as e:
logging.info(
"Error while processing data from ejabberd %s", str(e))
pass
```

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@ -0,0 +1,66 @@
# Optimizing the BEAM
Pleroma is built upon the Erlang/OTP VM known as BEAM. The BEAM VM is highly optimized for latency, but this has drawbacks in environments without dedicated hardware. One of the tricks used by the BEAM VM is [busy waiting](https://en.wikipedia.org/wiki/Busy_waiting). This allows the application to pretend to be busy working so the OS kernel does not pause the application process and switch to another process waiting for the CPU to execute its workload. It does this by spinning for a period of time which inflates the apparent CPU usage of the application so it is immediately ready to execute another task. This can be observed with utilities like **top(1)** which will show consistently high CPU usage for the process. Switching between procesess is a rather expensive operation and also clears CPU caches further affecting latency and performance. The goal of busy waiting is to avoid this penalty.
This strategy is very successful in making a performant and responsive application, but is not desirable on Virtual Machines or hardware with few CPU cores. Pleroma instances are often deployed on the same server as the required PostgreSQL database which can lead to situations where the Pleroma application is holding the CPU in a busy-wait loop and as a result the database cannot process requests in a timely manner. The fewer CPUs available, the more this problem is exacerbated. The latency is further amplified by the OS being installed on a Virtual Machine as the Hypervisor uses CPU time-slicing to pause the entire OS and switch between other tasks.
More adventurous admins can be creative with CPU affinity (e.g., *taskset* for Linux and *cpuset* on FreeBSD) to pin processes to specific CPUs and eliminate much of this contention. The most important advice is to run as few processes as possible on your server to achieve the best performance. Even idle background processes can occasionally create [software interrupts](https://en.wikipedia.org/wiki/Interrupt) and take attention away from the executing process creating latency spikes and invalidation of the CPU caches as they must be cleared when switching between processes for security.
Please only change these settings if you are experiencing issues or really know what you are doing. In general, there's no need to change these settings.
## VPS Provider Recommendations
### Good
* Hetzner Cloud
### Bad
* AWS (known to use burst scheduling)
## Example configurations
Tuning the BEAM requires you provide a config file normally called [vm.args](http://erlang.org/doc/man/erl.html#emulator-flags). If you are using systemd to manage the service you can modify the unit file as such:
`ExecStart=/usr/bin/elixir --erl '-args_file /opt/pleroma/config/vm.args' -S /usr/bin/mix phx.server`
Check your OS documentation to adopt a similar strategy on other platforms.
### Virtual Machine and/or few CPU cores
Disable the busy-waiting. This should generally only be done if you're on a platform that does burst scheduling, like AWS.
**vm.args:**
```
+sbwt none
+sbwtdcpu none
+sbwtdio none
```
### Dedicated Hardware
Enable more busy waiting, increase the internal maximum limit of BEAM processes and ports. You can use this if you run on dedicated hardware, but it is not necessary.
**vm.args:**
```
+P 16777216
+Q 16777216
+K true
+A 128
+sbt db
+sbwt very_long
+swt very_low
+sub true
+Mulmbcs 32767
+Mumbcgs 1
+Musmbcs 2047
```
## Additional Reading
* [WhatsApp: Scaling to Millions of Simultaneous Connections](https://www.erlang-factory.com/upload/presentations/558/efsf2012-whatsapp-scaling.pdf)
* [Preemptive Scheduling and Spinlocks](https://www.uio.no/studier/emner/matnat/ifi/nedlagte-emner/INF3150/h03/annet/slides/preemptive.pdf)
* [The Curious Case of BEAM CPU Usage](https://stressgrid.com/blog/beam_cpu_usage/)

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@ -21,3 +21,26 @@ This document contains notes and guidelines for Pleroma developers.
## Auth-related configuration, OAuth consumer mode etc.
See `Authentication` section of [the configuration cheatsheet](configuration/cheatsheet.md#authentication).
## MRF policies descriptions
If MRF policy depends on config, it can be added into MRF tab to adminFE by adding `config_description/0` method, which returns map with special structure.
Example:
```elixir
%{
key: :mrf_activity_expiration,
related_policy: "Pleroma.Web.ActivityPub.MRF.ActivityExpirationPolicy",
label: "MRF Activity Expiration Policy",
description: "Adds automatic expiration to all local activities",
children: [
%{
key: :days,
type: :integer,
description: "Default global expiration time for all local activities (in days)",
suggestions: [90, 365]
}
]
}
```

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@ -35,7 +35,7 @@ sudo apt full-upgrade
* Install some of the above mentioned programs:
```shell
sudo apt install git build-essential postgresql postgresql-contrib cmake libmagic-devel
sudo apt install git build-essential postgresql postgresql-contrib cmake libmagic-dev
```
### Install Elixir and Erlang
@ -182,7 +182,6 @@ sudo cp /opt/pleroma/installation/pleroma.service /etc/systemd/system/pleroma.se
```
* Edit the service file and make sure that all paths fit your installation
* Check that `EnvironmentFile` contains the correct path to the env file. Or generate the env file: `sudo -Hu pleroma mix pleroma.release_env gen`
* Enable and start `pleroma.service`:
```shell

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@ -149,9 +149,6 @@ chown -R pleroma /etc/pleroma
# Run the config generator
su pleroma -s $SHELL -lc "./bin/pleroma_ctl instance gen --output /etc/pleroma/config.exs --output-psql /tmp/setup_db.psql"
# Run the environment file generator.
su pleroma -s $SHELL -lc "./bin/pleroma_ctl release_env gen"
# Create the postgres database
su postgres -s $SHELL -lc "psql -f /tmp/setup_db.psql"