feat: normalize filter values to array format for Grist API
The Grist API requires all filter values to be arrays. This change adds automatic normalization of filter values in get_records, wrapping single values in lists before sending to the API. This fixes 400 errors when filtering on Ref columns with single integer IDs. Changes: - Add filters.py module with normalize_filter function - Update get_records to normalize filters before API call - Add Orders table with Ref column to mock Grist server - Add filter validation to mock server (rejects non-array values) - Fix shell script shebangs for portability (#!/usr/bin/env bash)
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@@ -90,6 +90,36 @@ async def test_all_tools(services_ready):
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log = get_mock_request_log()
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assert any("/records" in entry["path"] and entry["method"] == "GET" for entry in log)
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# Test get_records with Ref column filter
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# This tests that single values are normalized to arrays for the Grist API
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clear_mock_request_log()
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result = await client.call_tool(
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"get_records",
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{"document": "test-doc", "table": "Orders", "filter": {"Customer": 1}}
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)
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data = json.loads(result.content[0].text)
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assert "records" in data
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# Should return only orders for Customer 1 (orders 1 and 3)
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assert len(data["records"]) == 2
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for record in data["records"]:
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assert record["Customer"] == 1
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log = get_mock_request_log()
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# Verify the filter was sent as array format
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filter_requests = [e for e in log if "/records" in e["path"] and "filter=" in e["path"]]
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assert len(filter_requests) >= 1
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# The filter value should be [1] not 1
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assert "[1]" in filter_requests[0]["path"]
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# Test get_records with multiple filter values
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clear_mock_request_log()
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result = await client.call_tool(
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"get_records",
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{"document": "test-doc", "table": "Orders", "filter": {"Customer": [1, 2]}}
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)
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data = json.loads(result.content[0].text)
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assert "records" in data
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assert len(data["records"]) == 3 # All 3 orders (customers 1 and 2)
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# Test sql_query
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clear_mock_request_log()
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result = await client.call_tool(
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