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(core) move data engine code to core

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Summary:
this moves sandbox/grist to core, and adds a requirements.txt
file for reconstructing the content of sandbox/thirdparty.

Test Plan:
existing tests pass.
Tested core functionality manually.  Tested docker build manually.

Reviewers: dsagal

Reviewed By: dsagal

Differential Revision: https://phab.getgrist.com/D2563
This commit is contained in:
Paul Fitzpatrick
2020-07-27 14:57:36 -04:00
parent 2399baaca2
commit b82eec714a
97 changed files with 29551 additions and 2 deletions
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319
sandbox/grist/summary.py Normal file
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from collections import namedtuple
import json
import re
import logger
log = logger.Logger(__name__, logger.INFO)
ColInfo = namedtuple('ColInfo', ('colId', 'type', 'isFormula', 'formula',
'widgetOptions', 'label'))
def _make_col_info(col=None, **values):
"""Return a ColInfo() with the given fields, optionally copying values from the given column."""
for key in ColInfo._fields:
values.setdefault(key, getattr(col, key) if col else None)
return ColInfo(**values)
def _get_colinfo_dict(col_info, with_id=False):
"""Return a dict suitable to use with AddColumn or AddTable (when with_id=True) actions."""
col_values = {k: v for k, v in col_info._asdict().iteritems() if v is not None and k != 'colId'}
if with_id:
col_values['id'] = col_info.colId
return col_values
# To generate code, we need to know for each summary table, what its source table is. It would be
# easy if we had access to metadata records, but (at least for now) we generate all code based on
# schema only. So we encode the source table name inside of the summary table name.
#
# The encoding includes the length of the source table name, to avoid the possibility of ambiguity
# between the second summary table for "Foo", and the first summary table for "Foo2".
#
# Note that it means we need to rename summary tables when the source table is renamed.
def encode_summary_table_name(source_table_name):
"""
Create a summary table name that reliably encodes the source table name. It can be decoded even
if a suffix is added to the returned name.
"""
return "GristSummary_%d_%s" % (len(source_table_name), source_table_name)
_summary_re = re.compile(r'GristSummary_(\d+)_')
def decode_summary_table_name(summary_table_name):
"""
Extract the name of the source table from the summary table name.
"""
m = _summary_re.match(summary_table_name)
if m:
start = m.end(0)
length = int(m.group(1))
source_name = summary_table_name[start : start + length]
if len(source_name) == length:
return source_name
return None
def _group_colinfo(source_table):
"""Returns ColInfo() for the 'group' column that must be present in every summary table."""
return _make_col_info(colId='group', type='RefList:%s' % source_table.tableId,
isFormula=True, formula='table.getSummarySourceGroup(rec)')
def _update_sort_spec(sort_spec, old_table, new_table):
"""
Replace column references in the sort spec (which is a JSON string encoding a list of column
refs, negated for descending) with references to the new table. Returns the new JSON string,
or empty string in case of a problem.
"""
old_cols_map = {c.id: c.colId for c in old_table.columns}
new_cols_map = {c.colId: c.id for c in new_table.columns}
# When adjusting, we take a possibly negated old colRef, and produce a new colRef.
# If anything is gone, we return 0, which will be excluded from the new sort spec.
def adjust(col_spec):
sign = 1 if col_spec >= 0 else -1
return sign * new_cols_map.get(old_cols_map.get(abs(col_spec)), 0)
try:
old_sort_spec = json.loads(sort_spec)
new_sort_spec = filter(None, [adjust(col_spec) for col_spec in old_sort_spec])
return json.dumps(new_sort_spec, separators=(',', ':'))
except Exception, e:
log.warn("update_summary_section: can't parse sortColRefs JSON; clearing sortColRefs")
return ''
class SummaryActions(object):
def __init__(self, useractions, docmodel):
self.useractions = useractions
self.docmodel = docmodel
def _get_or_add_columns(self, table, all_colinfo):
"""
Given a table record and a list of ColInfo objects, generates a list of corresponding column
records in the table, creating appropriate columns if they don't yet exist.
"""
prior = {c.colId: c for c in table.columns}
for ci in all_colinfo:
col = prior.get(ci.colId)
if col and col.type == ci.type and col.formula == ci.formula:
yield col
else:
result = self.useractions.doAddColumn(table.tableId, ci.colId,
_get_colinfo_dict(ci, with_id=False))
yield self.docmodel.columns.table.get_record(result['colRef'])
def _get_or_create_summary(self, source_table, source_groupby_columns, formula_colinfo):
"""
Finds a summary table or creates a new one, based on source_table, grouped by the columns
in groupby_colinfo, and containing formulas in formula_colinfo. Source_table should be a
Record from _grist_Tables, and other arguments should be lists of ColInfo objects.
Returns the tuple (summary_table, groupby_columns, formula_columns).
"""
key = tuple(sorted(int(c) for c in source_groupby_columns))
groupby_colinfo = [_make_col_info(col=c, isFormula=False, formula='')
for c in source_groupby_columns]
summary_table = next((t for t in source_table.summaryTables if t.summaryKey == key), None)
created = False
if not summary_table:
result = self.useractions.doAddTable(
encode_summary_table_name(source_table.tableId),
[_get_colinfo_dict(ci, with_id=True) for ci in groupby_colinfo + formula_colinfo],
summarySourceTableRef=source_table.id)
summary_table = self.docmodel.tables.table.get_record(result['id'])
created = True
# Note that in this case, _get_or_add_columns() below should not add any new columns,
# but only return existing ones. (The table may contain extra columns, e.g. 'manualSort',
# at least in theory.)
groupby_columns = list(self._get_or_add_columns(summary_table, groupby_colinfo))
formula_columns = list(self._get_or_add_columns(summary_table, formula_colinfo))
if created:
# Set the summarySourceCol field for all the group-by columns in the table.
self.docmodel.update(groupby_columns,
summarySourceCol=[c.id for c in source_groupby_columns])
assert summary_table.summaryKey == key
return (summary_table, groupby_columns, formula_columns)
def update_summary_section(self, view_section, source_table, source_groupby_columns):
source_groupby_colset = set(source_groupby_columns)
groupby_colids = {c.colId for c in source_groupby_columns}
prev_fields = list(view_section.fields)
# Go through fields figuring out which ones we'll keep.
prev_group_fields, formula_fields, delete_fields = [], [], []
for field in prev_fields:
# Records implement __hash__, so we can look them up in sets.
if field.colRef.summarySourceCol in source_groupby_colset:
prev_group_fields.append(field)
elif field.colRef.isFormula and field.colRef.colId not in groupby_colids:
formula_fields.append(field)
else:
delete_fields.append(field)
# Prepare ColInfo for all columns we want to keep.
formula_colinfo = [_make_col_info(f.colRef) for f in formula_fields]
have_group_col = any(f.colRef.colId == 'group' for f in formula_fields)
if not have_group_col:
formula_colinfo.append(_group_colinfo(source_table))
# Get column records for all the columns we should have in our section.
summary_table, groupby_columns, formula_columns = self._get_or_create_summary(
source_table, source_groupby_columns, formula_colinfo)
if not have_group_col:
# We've added the "group" column; now restore the lists to match what we want in fields.
formula_colinfo.pop()
formula_columns.pop()
# Remember the original table, which we need later to adjust the sort spec (sortColRefs).
orig_table = view_section.tableRef
# This line is a bit hard to explain: we unset viewSection.tableRef before updating all the
# fields, and then set it to the correct value. Note how undo will reverse the operations, and
# produce the same sequence (unset, update fields, set). Client-side code relies on this to
# avoid having to deal with inconsistent view sections while fields are being updated.
self.docmodel.update([view_section], tableRef=0)
# Delete fields no longer relevant.
self.docmodel.remove(delete_fields)
# Update fields for all formula fields and reused group-by fields to point to new columns.
source_col_map = dict(zip(source_groupby_columns, groupby_columns))
prev_group_columns = [source_col_map[f.colRef.summarySourceCol] for f in prev_group_fields]
self.docmodel.update(formula_fields + prev_group_fields,
colRef=[c.id for c in formula_columns + prev_group_columns])
# Finally, we need to create fields for newly-added group-by columns. If there were missing
# fields for any group-by columns before, they'll be created now.
new_group_columns = [c for c in groupby_columns if c not in prev_group_columns]
# Insert these after the last existing group-by field.
insert_pos = prev_group_fields[-1].parentPos if prev_group_fields else None
new_group_fields = self.docmodel.insert_after(view_section.fields, insert_pos,
colRef=[c.id for c in new_group_columns])
# Reorder the group-by fields if needed, to match the order requested.
group_col_to_field = {f.colRef: f for f in prev_group_fields + new_group_fields}
group_fields = [group_col_to_field[c] for c in groupby_columns]
group_positions = [field.parentPos for field in group_fields]
sorted_positions = sorted(group_positions)
if sorted_positions != group_positions:
self.docmodel.update(group_fields, parentPos=sorted_positions)
update_args = {}
if view_section.sortColRefs:
# Fix the sortSpec to refer to the new columns.
update_args['sortColRefs'] = _update_sort_spec(
view_section.sortColRefs, orig_table, summary_table)
# Finally update the section to point to the new table.
self.docmodel.update([view_section], tableRef=summary_table.id, **update_args)
def _find_sister_column(self, source_table, col_id):
"""Returns a summary formula column for source_table with the given col_id, or None."""
for t in source_table.summaryTables:
c = self.docmodel.columns.lookupOne(parentId=t.id, colId=col_id, isFormula=True)
if c:
return c
return None
def _create_summary_colinfo(self, source_table, source_groupby_columns):
"""Come up automatically with a list of columns to include into a summary table."""
# Column 'group' defines the group of records that map to this summary line.
all_colinfo = [_group_colinfo(source_table)]
# For every column in the source data, if there is a same-named formula column in another
# summary table, use it here; otherwise if it's a numerical column, automatically add a
# same-named column with the sum of the values in the group.
groupby_col_ids = {c.colId for c in source_groupby_columns}
for col in source_table.columns:
if col.colId in groupby_col_ids or col.colId == 'group':
continue
c = self._find_sister_column(source_table, col.colId)
if c:
all_colinfo.append(_make_col_info(col=c))
elif col.type in ('Int', 'Numeric'):
all_colinfo.append(_make_col_info(col=col, isFormula=True,
formula='SUM($group.%s)' % col.colId))
# Add a default 'count' column for the number of records in the group, unless a different
# 'count' was already added (which we would then prefer as presumably more useful). We add the
# default 'count' right after 'group', to make it the first of the visible formula columns.
if not any(c.colId == 'count' for c in all_colinfo):
all_colinfo.insert(1, _make_col_info(colId='count', type='Int',
isFormula=True, formula='len($group)'))
return all_colinfo
def create_new_summary_section(self, source_table, source_groupby_columns, view, section_type):
formula_colinfo = list(self._create_summary_colinfo(source_table, source_groupby_columns))
summary_table, groupby_columns, formula_columns = self._get_or_create_summary(
source_table, source_groupby_columns, formula_colinfo)
section = self.docmodel.add(view.viewSections, tableRef=summary_table.id,
parentKey=section_type)[0]
self.docmodel.add(section.fields,
colRef=[c.id for c in groupby_columns + formula_columns
if c.colId != "group"])
return section
def detach_summary_section(self, view_section):
"""
Create a real table equivalent to the given summary section, and update the section to show
the new table instead of the summary.
"""
source_table_id = view_section.tableRef.summarySourceTable.tableId
# Get a list of columns that we need for the new table.
fields = view_section.fields
field_col_recs = [f.colRef for f in fields]
# Prepare the column info for each column.
col_info = [_make_col_info(col=c) for c in field_col_recs if c.colId != 'group']
# Prepare the 'group' column, which is that one column that's different from the original.
group_args = ', '.join('%s=$%s' % (c.summarySourceCol.colId, c.colId)
for c in field_col_recs if c.summarySourceCol)
col_info.append(_make_col_info(colId='group', type='RefList:%s' % source_table_id,
isFormula=True,
formula='%s.lookupRecords(%s)' % (source_table_id, group_args)))
# Create the new table.
res = self.useractions.AddTable(None, [_get_colinfo_dict(ci, with_id=True) for ci in col_info])
new_table = self.docmodel.tables.table.get_record(res["id"])
# Remember the original table, which we need later e.g. to adjust the sort spec (sortColRefs).
orig_table = view_section.tableRef
# Populate the new table.
old_data = self.useractions._engine.fetch_table(orig_table.tableId, formulas=False)
self.useractions.ReplaceTableData(new_table.tableId, old_data.row_ids, old_data.columns)
# Unset viewSection.tableRef before updating the fields, to avoid having inconsistencies. (See
# longer explanation in update_summary_section().)
self.docmodel.update([view_section], tableRef=0)
# Update all fields to point to new columns.
new_col_dict = {c.colId: c.id for c in new_table.columns}
self.docmodel.update(fields, colRef=[new_col_dict[c.colId] for c in field_col_recs])
# If the section is sorted, fix the sortSpec to refer to the new columns.
update_args = {}
if view_section.sortColRefs:
update_args['sortColRefs'] = _update_sort_spec(
view_section.sortColRefs, orig_table, new_table)
# Update the section to point to the new table.
self.docmodel.update([view_section], tableRef=new_table.id, **update_args)