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Addresses 4 critical findings surfaced during PRizm code review of the internal plugin port of this skill (internal PR #19). Applying the same fixes here keeps the external canonical source and the internal port in sync. 1. Test cleanup discipline: switch `test_invalid_json_raises` from `try/finally` to `self.addCleanup(p.unlink, missing_ok=True)` — the unittest-idiomatic way to guarantee temp-file cleanup regardless of how the test exits. 2. `floor()` description in bdt-function-catalog.md: the old row was self-contradictory ("toward zero" AND "toward next integer up" in the same cell). Replace with a single coherent definition: rounds toward negative infinity; for negatives rounds away from zero (e.g., `floor(-2.3) = -3`). 3. Split-node documentation in bdt-node-catalog.md: the old doc claimed `split` routes rows into downstream branches via `branches[]` with per-branch predicates. That is not the canonical schema. Per `SplitParametersInputRepresentation` in core-262-public, `split` is a string-splitting operation: one `sourceField` + `delimiter` → N `targetFields` (one row in, one row out; columns added). Rewrote the section with the correct parameters, lineage effect, gotchas, and a canonical example. Row-routing belongs in `filter` nodes. 4. Sample `assets/sample_bdts/append_and_split.json`: the old sample used the invented `branches[]` shape AND routed the same split into two downstream outputs that each expected different rows — which is not how `split` works. Rewrote the sample so: - `appendV2` unions two order sources (unchanged intent). - `split` uses canonical `{sourceField, delimiter, targetFields}` splitting `CustomerFullName__c` into first + last name columns. - One downstream output consumes the new columns (removes the fake two-branch fan-out). Tests: 92/92 passing. Sample parses and runs through `bdt_analyze.py summary` cleanly (5 nodes: 2 load + 1 appendV2 + 1 split + 1 outputD360). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
80 lines
3.5 KiB
JSON
80 lines
3.5 KiB
JSON
{
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"version": "66.0",
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"nodes": {
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"LOAD_WEB_ORDERS": {
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"action": "load",
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"sources": [],
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"parameters": {
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"dataset": {"name": "WebOrders__dlo", "type": "dataLakeObject"},
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"fields": ["OrderId__c", "Amount__c", "Channel__c", "CustomerFullName__c"],
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"sampleDetails": {"type": "TopN", "sortBy": []}
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}
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},
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"LOAD_STORE_ORDERS": {
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"action": "load",
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"sources": [],
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"parameters": {
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"dataset": {"name": "StoreOrders__dlo", "type": "dataLakeObject"},
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"fields": ["OrderId__c", "Amount__c", "Channel__c", "CustomerFullName__c"],
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"sampleDetails": {"type": "TopN", "sortBy": []}
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}
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},
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"APPEND_ALL_ORDERS": {
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"action": "appendV2",
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"sources": ["LOAD_WEB_ORDERS", "LOAD_STORE_ORDERS"],
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"parameters": {
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"allowImplicitDisjointSchema": false,
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"fieldMappings": [
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{"targetField": "OrderId__c", "sources": [{"node": "LOAD_WEB_ORDERS", "field": "OrderId__c"}, {"node": "LOAD_STORE_ORDERS", "field": "OrderId__c"}]},
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{"targetField": "Amount__c", "sources": [{"node": "LOAD_WEB_ORDERS", "field": "Amount__c"}, {"node": "LOAD_STORE_ORDERS", "field": "Amount__c"}]},
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{"targetField": "Channel__c", "sources": [{"node": "LOAD_WEB_ORDERS", "field": "Channel__c"}, {"node": "LOAD_STORE_ORDERS", "field": "Channel__c"}]},
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{"targetField": "CustomerFullName__c", "sources": [{"node": "LOAD_WEB_ORDERS", "field": "CustomerFullName__c"}, {"node": "LOAD_STORE_ORDERS", "field": "CustomerFullName__c"}]}
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]
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}
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},
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"SPLIT_CUSTOMER_NAME": {
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"action": "split",
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"sources": ["APPEND_ALL_ORDERS"],
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"parameters": {
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"sourceField": "CustomerFullName__c",
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"delimiter": " ",
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"targetFields": [
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{"name": "CustomerFirstName__c", "label": "Customer First Name"},
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{"name": "CustomerLastName__c", "label": "Customer Last Name"}
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]
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}
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},
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"OUTPUT_ORDERS": {
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"action": "outputD360",
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"sources": ["SPLIT_CUSTOMER_NAME"],
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"parameters": {
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"name": "OrdersWithCustomerName__dlm",
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"type": "dataModelObject",
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"writeMode": "OVERWRITE",
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"fieldsMappings": [
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{"sourceField": "OrderId__c", "targetField": "OrderId__c"},
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{"sourceField": "Amount__c", "targetField": "Amount__c"},
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{"sourceField": "Channel__c", "targetField": "Channel__c"},
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{"sourceField": "CustomerFirstName__c", "targetField": "FirstName__c"},
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{"sourceField": "CustomerLastName__c", "targetField": "LastName__c"}
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]
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}
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}
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},
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"ui": {
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"nodes": {
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"LOAD_WEB_ORDERS": {"label": "Web Orders", "type": "LOAD_DATASET", "top": 100, "left": 100},
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"LOAD_STORE_ORDERS": {"label": "Store Orders", "type": "LOAD_DATASET", "top": 260, "left": 100},
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"APPEND_ALL_ORDERS": {"label": "Union", "type": "APPEND", "top": 180, "left": 260},
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"SPLIT_CUSTOMER_NAME": {"label": "Split full name", "type": "SPLIT", "top": 180, "left": 420},
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"OUTPUT_ORDERS": {"label": "Orders with name", "type": "OUTPUT", "top": 180, "left": 580}
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},
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"connectors": [
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{"source": "LOAD_WEB_ORDERS", "target": "APPEND_ALL_ORDERS"},
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{"source": "LOAD_STORE_ORDERS", "target": "APPEND_ALL_ORDERS"},
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{"source": "APPEND_ALL_ORDERS", "target": "SPLIT_CUSTOMER_NAME"},
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{"source": "SPLIT_CUSTOMER_NAME", "target": "OUTPUT_ORDERS"}
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]
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}
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}
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