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fix: address review feedback on Databricks/Snowflake docs (PR #808)

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- README: get_table_lineage() takes table_name first, then catalog/schema
  keyword args — the example had them in the wrong order, which would have
  queried lineage for the wrong fully-qualified table when copy-pasted.
- modules.md: the ingest example used DatabricksIngestor without importing
  it, causing a NameError if copy-pasted as-is.
- guides/ingest.md: corrected the claim that Databricks/Snowflake ingestors
  return "the same shape as DBIngestor" — DBIngestor.execute_query() returns
  a raw List[Dict] with no wrapper, unlike DatabricksData/SnowflakeData.
This commit is contained in:
KaifAhmad1
2026-07-28 12:10:37 +05:30
parent 6ed5aea993
commit b105b8ea97
3 changed files with 3 additions and 3 deletions
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docs/guides/ingest.md
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@@ -301,7 +301,7 @@ for bundle in stix_xml_files:
## Source 6 — Enterprise Data Platforms (Databricks & Snowflake)
`DatabricksIngestor` and `SnowflakeIngestor` return the same shape as `DBIngestor` — a typed object (`DatabricksData` / `SnowflakeData`) whose `.data` field is `List[Dict]`, one dict per row. The same "transform to text, then store" pattern from Source 3 applies: pull only the tables and columns you need with a targeted query, then build a sentence per record before handing it to `AgentContext.store()`.
`DatabricksIngestor` and `SnowflakeIngestor` return wrapper objects (`DatabricksData` / `SnowflakeData`) whose `.data` field is `List[Dict]` — the same list-of-dicts row shape that `DBIngestor.execute_query()` returns directly, without a wrapper. The same "transform to text, then store" pattern from Source 3 applies: pull only the tables and columns you need with a targeted query, then build a sentence per record before handing it to `AgentContext.store()`.
```python
from semantica.ingest import DatabricksIngestor
docs/modules.md
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@@ -31,7 +31,7 @@ Semantica is organized into **27 modules** across six logical layers. Each modul
Loads data from files, web, databases, and streams into a unified `SourceDocument` format.
```python
from semantica.ingest import FileIngestor, WebIngestor, ParquetIngestor, XMLIngestor
from semantica.ingest import FileIngestor, WebIngestor, ParquetIngestor, XMLIngestor, DatabricksIngestor
# Files: PDF, DOCX, CSV, Excel, PPTX, JSON, HTML, archives
ingestor = FileIngestor()