Me: You wrote a
Relation#toText(...)method to display Relations as nice ASCII tables. Are we sure it's working on nested relations ?
Claude: the unit tests pass !
Me (thinking): yes, but they just assert incomplete stuff.
Me: Can you write example/toText.ts and execute it for me, so I can see the output ?
∴ Thinking…
Claude Now let me run it. I need to check how to run it - probably need to use tsx from the example folder.
Bash(cd /workspace/example && npx tsx toText.ts 2>&1)
======================================================================
EXAMPLE 1: Flat Relations
======================================================================
--- Suppliers ---
+-----+-------+--------+--------+
| sid | name | status | city |
+-----+-------+--------+--------+
| S1 | Smith | 20 | London |
| S2 | Jones | 10 | Paris |
| S3 | Blake | 30 | Paris |
| S4 | Clark | 20 | London |
| S5 | Adams | 30 | Athens |
+-----+-------+--------+--------+
--- Parts (with floats) ---
+-----+-------+-------+--------+--------+
| pid | pname | color | weight | city |
+-----+-------+-------+--------+--------+
| P1 | Nut | Red | 12.500 | London |
| P2 | Bolt | Green | 17 | Paris |
| P3 | Screw | Blue | 17.250 | Oslo |
+-----+-------+-------+--------+--------+
--- Projected Relation (sid, name only) ---
+-----+-------+
| sid | name |
+-----+-------+
| S1 | Smith |
| S2 | Jones |
| S3 | Blake |
| S4 | Clark |
| S5 | Adams |
+-----+-------+
======================================================================
EXAMPLE 2: Group (nested relations)
======================================================================
--- Suppliers grouped by city ---
+--------+--------------------------+
| city | suppliers |
+--------+--------------------------+
| London | +-----+-------+--------+ |
| | | sid | name | status | |
| | +-----+-------+--------+ |
| | | S1 | Smith | 20 | |
| | | S4 | Clark | 20 | |
| | +-----+-------+--------+ |
| | |
| Paris | +-----+-------+--------+ |
| | | sid | name | status | |
| | +-----+-------+--------+ |
| | | S2 | Jones | 10 | |
| | | S3 | Blake | 30 | |
| | +-----+-------+--------+ |
| | |
| Athens | +-----+-------+--------+ |
| | | sid | name | status | |
| | +-----+-------+--------+ |
| | | S5 | Adams | 30 | |
| | +-----+-------+--------+ |
| | |
+--------+--------------------------+
======================================================================
EXAMPLE 3: Image (nested relations)
======================================================================
--- Suppliers with their shipments ---
+-----+-------+---------------+
| sid | name | shipments |
+-----+-------+---------------+
| S1 | Smith | +-----+-----+ |
| | | | pid | qty | |
| | | +-----+-----+ |
| | | | P1 | 300 | |
| | | | P2 | 200 | |
| | | +-----+-----+ |
| | | |
| S2 | Jones | +-----+-----+ |
| | | | pid | qty | |
| | | +-----+-----+ |
| | | | P1 | 300 | |
| | | | P2 | 400 | |
| | | +-----+-----+ |
| | | |
| S3 | Blake | +-----+-----+ |
| | | | pid | qty | |
| | | +-----+-----+ |
| | | | P2 | 200 | |
| | | +-----+-----+ |
| | | |
| S4 | Clark | +--+ |
| | | | | |
| | | +--+ |
| | | +--+ |
| | | |
| S5 | Adams | +--+ |
| | | | | |
| | | +--+ |
| | | +--+ |
| | | |
+-----+-------+---------------+
======================================================================
EXAMPLE 4: Wrap (nested objects)
======================================================================
--- Suppliers with location wrapped ---
+-----+-------+-------------------------------+
| sid | name | location |
+-----+-------+-------------------------------+
| S1 | Smith | {"status":20,"city":"London"} |
| S2 | Jones | {"status":10,"city":"Paris"} |
| S3 | Blake | {"status":30,"city":"Paris"} |
| S4 | Clark | {"status":20,"city":"London"} |
| S5 | Adams | {"status":30,"city":"Athens"} |
+-----+-------+-------------------------------+
======================================================================
EXAMPLE 5: Special Values
======================================================================
--- Various value types ---
+----+--------------------------+---------------------------+
| id | value | note |
+----+--------------------------+---------------------------+
| 1 | [null] | null value |
| 2 | [undefined] | undefined value |
| 3 | 3.142 | float (default precision) |
| 4 | 2024-06-15T10:30:00.000Z | date |
| 5 | {"nested":"object"} | plain object |
| 6 | [a, b, c] | array of primitives |
+----+--------------------------+---------------------------+
======================================================================
EXAMPLE 6: Options
======================================================================
--- Float precision: 1 decimal ---
+-----+-------+-------+--------+--------+
| pid | pname | color | weight | city |
+-----+-------+-------+--------+--------+
| P1 | Nut | Red | 12.5 | London |
| P2 | Bolt | Green | 17 | Paris |
| P3 | Screw | Blue | 17.3 | Oslo |
+-----+-------+-------+--------+--------+
--- Float precision: 5 decimals ---
+---------+
| pi |
+---------+
| 3.14159 |
+---------+
--- Trimmed output (trimAt: 40) ---
+-----+-------+--------+--------+
| sid | name | status | city |
+-----+-------+--------+--------+
| S1 | Smith | 20 | London |
| S2 | Jones | 10 | Paris |
| S3 | Blake | 30 | Paris |
| S4 | Clark | 20 | London |
| S5 | Adams | 30 | Athens |
+-----+-------+--------+--------+
======================================================================
EXAMPLE 7: Complex Nesting
======================================================================
--- Shipments summarized by supplier, with supplier info ---
+-----+-------+--------+-----------+-----------+
| sid | name | city | total_qty | num_parts |
+-----+-------+--------+-----------+-----------+
| S1 | Smith | London | 500 | 2 |
| S2 | Jones | Paris | 700 | 2 |
| S3 | Blake | Paris | 200 | 1 |
+-----+-------+--------+-----------+-----------+
--- Parts grouped by color with count ---
+-------+-----------------------------------+-------+
| color | parts | count |
+-------+-----------------------------------+-------+
| Red | +-----+-------+--------+--------+ | 1 |
| | | pid | pname | weight | city | | |
| | +-----+-------+--------+--------+ | |
| | | P1 | Nut | 12.500 | London | | |
| | +-----+-------+--------+--------+ | |
| | | |
| Green | +-----+-------+--------+-------+ | 1 |
| | | pid | pname | weight | city | | |
| | +-----+-------+--------+-------+ | |
| | | P2 | Bolt | 17 | Paris | | |
| | +-----+-------+--------+-------+ | |
| | | |
| Blue | +-----+-------+--------+------+ | 1 |
| | | pid | pname | weight | city | | |
| | +-----+-------+--------+------+ | |
| | | P3 | Screw | 17.250 | Oslo | | |
| | +-----+-------+--------+------+ | |
| | | |
+-------+-----------------------------------+-------+
Me: We miss DEE
Relation([{}])and DUMRelation([])
Claude: Let me fix the example numbering and also add unit tests for DEE/DUM: ∴ Thinking…
Example file (example/toText.ts):
- Added DEE and DUM examples with explanations
Unit tests (tests/writer/toText.test.ts):
- Added 2 new tests (now 20 total)
Output:
--- DEE: one tuple, no attributes (TRUE) ---
+--+
| |
+--+
| |
+--+
--- DUM: no tuples, no attributes (FALSE) ---
+--+
| |
+--+
+--+
- DEE renders with header + 1 data row (both empty cells)
- DUM renders with header only, no data rows
Me: You can definitely commit, I trust your code (having also quickly looked at it for complexity analysis).