(core) Comments

Summary:
First iteration for comments system for Grist.
- Comments are stored in a generic metatable `_grist_Cells`
- Each comment is connected to a particular cell (hence the generic name of the table)
- Access level works naturally for records stored in this table
-- User can add/read comments for cells he can see
-- User can't update/remove comments that he doesn't own, but he can delete them by removing cells (rows/columns)
-- Anonymous users can't see comments at all.
- Each comment can have replies (but replies can't have more replies)

Comments are hidden by default, they can be enabled by COMMENTS=true env variable.
Some things for follow-up
- Avatars, currently the user's profile image is not shown or retrieved from the server
- Virtual rendering for comments list in creator panel. Currently, there is a limit of 200 comments.

Test Plan: New and existing tests

Reviewers: georgegevoian, paulfitz

Reviewed By: georgegevoian

Subscribers: paulfitz

Differential Revision: https://phab.getgrist.com/D3509
This commit is contained in:
Jarosław Sadziński
2022-10-17 11:47:16 +02:00
parent 8be920dd25
commit bfd7243fe2
41 changed files with 2621 additions and 77 deletions

View File

@@ -147,6 +147,21 @@ class MetaTableExtras(object):
table.docmodel.setAutoRemove(rec, not rec.colRef)
class _grist_Cells(object):
def setAutoRemove(rec, table):
if rec.type == 1: # Cell info of type 1 == Comments
# Remove if discussion is removed.
noParent = not rec.root and not rec.parentId
if rec.tableRef and rec.rowId:
tableRef = table.docmodel.get_table(rec.tableRef.tableId)
row = tableRef.lookupOne(id=rec.rowId)
else:
row = False
# Remove if row is removed, column is removed, table is removed or all comments are removed.
no_cell = not rec.colRef or not rec.tableRef or not row
table.docmodel.setAutoRemove(rec, noParent or no_cell)
def enhance_model(model_class):
"""
Given a metadata model class, add all members (formula methods) to it from the same-named inner
@@ -198,6 +213,7 @@ class DocModel(object):
self.aclResources = self._prep_table("_grist_ACLResources")
self.aclRules = self._prep_table("_grist_ACLRules")
self.filters = self._prep_table("_grist_Filters")
self.cells = self._prep_table("_grist_Cells")
def _prep_table(self, name):
"""

View File

@@ -32,7 +32,7 @@ log = logger.Logger(__name__, logger.INFO)
# After each migration you probably should run these commands:
# ./test/upgradeDocument public_samples/*.grist
# UPDATE_REGRESSION_DATA=1 GREP_TESTS=DocRegressionTests ./test/testrun.sh server
# ./test/upgradeDocument test/fixtures/docs/Hello.grist
# ./test/upgradeDocument core/test/fixtures/docs/Hello.grist
all_migrations = {}
@@ -1092,3 +1092,23 @@ def migration32(tdset):
return tdset.apply_doc_actions([
add_column('_grist_Views_section', 'rules', 'RefList:_grist_Tables_column'),
])
@migration(schema_version=33)
def migration33(tdset):
"""
Add _grist_Cells table
"""
doc_actions = [
actions.AddTable('_grist_Cells', [
schema.make_column("tableRef", "Ref:_grist_Tables"),
schema.make_column("colRef", "Ref:_grist_Tables_column"),
schema.make_column("rowId", "Int"),
schema.make_column("root", "Bool"),
schema.make_column("parentId", "Ref:_grist_Cells"),
schema.make_column("type", "Int"),
schema.make_column("content", "Text"),
schema.make_column("userRef", "Text"),
]),
]
return tdset.apply_doc_actions(doc_actions)

View File

@@ -15,7 +15,7 @@ import six
import actions
SCHEMA_VERSION = 32
SCHEMA_VERSION = 33
def make_column(col_id, col_type, formula='', isFormula=False):
return {
@@ -317,6 +317,21 @@ def schema_create_actions():
# Ex2: { excluded: ['apple', 'orange'] }
make_column("filter", "Text")
]),
# Additional metadata for cells
actions.AddTable('_grist_Cells', [
make_column("tableRef", "Ref:_grist_Tables"),
make_column("colRef", "Ref:_grist_Tables_column"),
make_column("rowId", "Int"),
# Cell metadata is stored as in hierarchical structure.
make_column("root", "Bool"),
make_column("parentId", "Ref:_grist_Cells"),
# Type of information, currently we have only one type Comments (with value 1).
make_column("type", "Int"),
# JSON representation of the metadata.
make_column("content", "Text"),
make_column("userRef", "Text"),
]),
]