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- # Copyright 2014-2016 OpenMarket Ltd
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- import argparse
- import datetime
- import html
- import json
- import sqlite3
- import pydot
- from synapse.api.room_versions import KNOWN_ROOM_VERSIONS
- from synapse.events import make_event_from_dict
- from synapse.util.frozenutils import unfreeze
- def make_graph(db_name: str, room_id: str, file_prefix: str, limit: int) -> None:
- """
- Generate a dot and SVG file for a graph of events in the room based on the
- topological ordering by reading from a Synapse SQLite database.
- """
- conn = sqlite3.connect(db_name)
- sql = "SELECT room_version FROM rooms WHERE room_id = ?"
- c = conn.execute(sql, (room_id,))
- room_version = KNOWN_ROOM_VERSIONS[c.fetchone()[0]]
- sql = (
- "SELECT json, internal_metadata FROM event_json as j "
- "INNER JOIN events as e ON e.event_id = j.event_id "
- "WHERE j.room_id = ?"
- )
- args = [room_id]
- if limit:
- sql += " ORDER BY topological_ordering DESC, stream_ordering DESC LIMIT ?"
- args.append(limit)
- c = conn.execute(sql, args)
- events = [
- make_event_from_dict(json.loads(e[0]), room_version, json.loads(e[1]))
- for e in c.fetchall()
- ]
- events.sort(key=lambda e: e.depth)
- node_map = {}
- state_groups = {}
- graph = pydot.Dot(graph_name="Test")
- for event in events:
- c = conn.execute(
- "SELECT state_group FROM event_to_state_groups WHERE event_id = ?",
- (event.event_id,),
- )
- res = c.fetchone()
- state_group = res[0] if res else None
- if state_group is not None:
- state_groups.setdefault(state_group, []).append(event.event_id)
- t = datetime.datetime.fromtimestamp(
- float(event.origin_server_ts) / 1000
- ).strftime("%Y-%m-%d %H:%M:%S,%f")
- content = json.dumps(unfreeze(event.get_dict()["content"]))
- label = (
- "<"
- "<b>%(name)s </b><br/>"
- "Type: <b>%(type)s </b><br/>"
- "State key: <b>%(state_key)s </b><br/>"
- "Content: <b>%(content)s </b><br/>"
- "Time: <b>%(time)s </b><br/>"
- "Depth: <b>%(depth)s </b><br/>"
- "State group: %(state_group)s<br/>"
- ">"
- ) % {
- "name": event.event_id,
- "type": event.type,
- "state_key": event.get("state_key", None),
- "content": html.escape(content, quote=True),
- "time": t,
- "depth": event.depth,
- "state_group": state_group,
- }
- node = pydot.Node(name=event.event_id, label=label)
- node_map[event.event_id] = node
- graph.add_node(node)
- for event in events:
- for prev_id in event.prev_event_ids():
- try:
- end_node = node_map[prev_id]
- except Exception:
- end_node = pydot.Node(name=prev_id, label=f"<<b>{prev_id}</b>>")
- node_map[prev_id] = end_node
- graph.add_node(end_node)
- edge = pydot.Edge(node_map[event.event_id], end_node)
- graph.add_edge(edge)
- for group, event_ids in state_groups.items():
- if len(event_ids) <= 1:
- continue
- cluster = pydot.Cluster(str(group), label=f"<State Group: {str(group)}>")
- for event_id in event_ids:
- cluster.add_node(node_map[event_id])
- graph.add_subgraph(cluster)
- graph.write("%s.dot" % file_prefix, format="raw", prog="dot")
- graph.write_svg("%s.svg" % file_prefix, prog="dot")
- if __name__ == "__main__":
- parser = argparse.ArgumentParser(
- description="Generate a PDU graph for a given room by talking "
- "to the given Synapse SQLite file to get the list of PDUs. \n"
- "Requires pydot."
- )
- parser.add_argument(
- "-p",
- "--prefix",
- dest="prefix",
- help="String to prefix output files with",
- default="graph_output",
- )
- parser.add_argument("-l", "--limit", help="Only retrieve the last N events.")
- parser.add_argument("db")
- parser.add_argument("room")
- args = parser.parse_args()
- make_graph(args.db, args.room, args.prefix, args.limit)
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