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Use when working on SDK development tasks like adding features, fixing bugs, or writing tests.\n---\n\n# Dataverse SDK Development Guide\n\n## Overview\n\nThis skill provides guidance for developers working on the PowerPlatform Dataverse Client Python SDK repository itself (not using the SDK).\n\n## Best Practices\n\n### API Design\n\n1. **Public methods in operation namespaces** - New public methods go in the appropriate namespace module under `src\u002FPowerPlatform\u002FDataverse\u002Foperations\u002F` (`records.py`, `query.py`, `tables.py`, `batch.py`). The `client.py` file exposes these via namespace properties (`client.records`, `client.query`, `client.tables`, `client.batch`). 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Lowercasing `new_CustomerId@odata.bind` to `new_customerid@odata.bind` causes: `ODataException: An undeclared property 'new_customerid' which only has property annotations...`\n\n**SDK implementation:**\n\n- `_lowercase_keys()` lowercases all keys EXCEPT those containing `@odata.` (preserves navigation property casing in `@odata.bind` keys)\n- `_lowercase_list()` lowercases `$select` and `$orderby` params (structural properties)\n- `$expand` params are passed as-is (navigation properties, PascalCase)\n- `_convert_labels_to_ints()` skips `@odata.` keys entirely (they are annotations, not attributes)\n\n**When adding new code that processes record dicts or builds query parameters:**\n\n- Always use `_lowercase_keys()` for record payloads. Never manually call `.lower()` on all keys\n- Never lowercase `$expand` values or `@odata.bind` key prefixes\n- If iterating record keys, skip keys containing `@odata.` when doing attribute-level operations\n\n### Code Style\n\n6. **No emojis** - Do not use emoji in code, comments, or output\n7. **Standardize output format** - Use `[INFO]`, `[WARN]`, `[ERR]`, `[OK]` prefixes for console output\n8. **No noqa comments** - Do not add `# noqa: BLE001` or similar linter suppression comments\n9. **Document public APIs** - Add Sphinx-style docstrings with examples for public methods\n10. **Define __all__ in module files** - Each module declares its own exports via `__all__` (e.g., `errors.py` defines `__all__ = [\"HttpError\", ...]`). Package `__init__.py` files should not re-export or redefine another module's `__all__`; they use `__all__ = []` to indicate no star-import exports.\n11. **Run black before committing** - Always run `python -m black \u003Cchanged files>` before committing. CI will reject unformatted code. Config is in `pyproject.toml` under `[tool.black]`.\n\n### Docstring Type Annotations (Microsoft Learn Compatibility)\n\nThis SDK's API reference is published on Microsoft Learn. The Learn doc pipeline parses `:type:` and `:rtype:` directives differently from standard Sphinx -- every word between `:class:` references is treated as a separate cross-reference (`\u003Cxref:word>`). Using Sphinx-style `:class:\\`list\\` of :class:\\`str\\`` produces broken `\u003Cxref:of>` links on Learn.\n\n**Rules for `:type:` and `:rtype:` directives:**\n\n- Use Python bracket notation for generic types: `list[str]`, `dict[str, typing.Any]`, `list[dict]`\n- Use `or` (without `:class:`) for union types: `str or None`, `dict or list[dict]`\n- Use bracket nesting for complex types: `collections.abc.Iterable[list[dict]]`\n- Use `~` prefix for SDK types to show short name: `list[~PowerPlatform.Dataverse.models.record.Record]`\n- `:class:` is fine for single standalone types: `:class:\\`str\\``, `:class:\\`bool\\``\n\n**Never** use `:class:\\`X\\` of :class:\\`Y\\`` or `:class:\\`X\\` mapping :class:\\`Y\\` to :class:\\`Z\\`` -- the words `of`, `mapping`, `to` become broken `\u003Cxref:>` links.\n\n**Correct examples:**\n\n```rst\n:type data: dict or list[dict]\n:rtype: list[str]\n:rtype: collections.abc.Iterable[list[~PowerPlatform.Dataverse.models.record.Record]]\n:type select: list[str] or None\n:type columns: dict[str, typing.Any]\n```\n\n**Wrong examples (NEVER use):**\n\n```rst\n:type data: :class:`dict` or :class:`list` of :class:`dict`\n:rtype: :class:`list` of :class:`str`\n:type columns: :class:`dict` mapping :class:`str` to :class:`typing.Any`\n```\n",{"data":37,"body":38},{"name":4,"description":6},{"type":39,"children":40},"root",[41,50,57,63,69,76,278,284,289,438,451,497,505,588,596,650,656,835,841,899,920,1034,1093,1101,1159,1167,1198],{"type":42,"tag":43,"props":44,"children":46},"element","h1",{"id":45},"dataverse-sdk-development-guide",[47],{"type":48,"value":49},"text","Dataverse SDK Development Guide",{"type":42,"tag":51,"props":52,"children":54},"h2",{"id":53},"overview",[55],{"type":48,"value":56},"Overview",{"type":42,"tag":58,"props":59,"children":60},"p",{},[61],{"type":48,"value":62},"This skill provides guidance for developers working on the PowerPlatform Dataverse Client Python SDK repository itself (not using the SDK).",{"type":42,"tag":51,"props":64,"children":66},{"id":65},"best-practices",[67],{"type":48,"value":68},"Best Practices",{"type":42,"tag":70,"props":71,"children":73},"h3",{"id":72},"api-design",[74],{"type":48,"value":75},"API Design",{"type":42,"tag":77,"props":78,"children":79},"ol",{},[80,190,200,210,220,230],{"type":42,"tag":81,"props":82,"children":83},"li",{},[84,90,92,99,101,107,109,115,116,122,123,129,131,137,139,145,146,152,153,159,160,166,168,174,175,181,182,188],{"type":42,"tag":85,"props":86,"children":87},"strong",{},[88],{"type":48,"value":89},"Public methods in operation namespaces",{"type":48,"value":91}," - New public methods go in the appropriate namespace module under ",{"type":42,"tag":93,"props":94,"children":96},"code",{"className":95},[],[97],{"type":48,"value":98},"src\u002FPowerPlatform\u002FDataverse\u002Foperations\u002F",{"type":48,"value":100}," (",{"type":42,"tag":93,"props":102,"children":104},{"className":103},[],[105],{"type":48,"value":106},"records.py",{"type":48,"value":108},", ",{"type":42,"tag":93,"props":110,"children":112},{"className":111},[],[113],{"type":48,"value":114},"query.py",{"type":48,"value":108},{"type":42,"tag":93,"props":117,"children":119},{"className":118},[],[120],{"type":48,"value":121},"tables.py",{"type":48,"value":108},{"type":42,"tag":93,"props":124,"children":126},{"className":125},[],[127],{"type":48,"value":128},"batch.py",{"type":48,"value":130},"). 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Use when implementing univariate\u002Fmultivariate anomaly detection, time-series analysis, or AI-powered monitoring.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1253,1256,1257,1260,1263,1264],{"name":1254,"slug":1255,"type":13},"Analytics","analytics",{"name":1239,"slug":1240,"type":13},{"name":1258,"slug":1259,"type":13},"Data Analysis","data-analysis",{"name":1261,"slug":1262,"type":13},"Java","java",{"name":9,"slug":8,"type":13},{"name":1265,"slug":1266,"type":13},"Monitoring","monitoring","2026-05-13T06:14:16.261754",{"slug":1269,"name":1269,"fn":1270,"description":1271,"org":1272,"tags":1273,"stars":1244,"repoUrl":1245,"updatedAt":1282},"azure-ai-contentsafety-java","build content moderation applications with Azure AI","Build content moderation applications with Azure AI Content Safety SDK for Java. Use when implementing text\u002Fimage analysis, blocklist management, or harm detection for hate, violence, sexual content, and self-harm.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1274,1277,1278,1279],{"name":1275,"slug":1276,"type":13},"AI Infrastructure","ai-infrastructure",{"name":1239,"slug":1240,"type":13},{"name":1261,"slug":1262,"type":13},{"name":1280,"slug":1281,"type":13},"Security","security","2026-07-07T06:53:31.293235",{"slug":1284,"name":1284,"fn":1285,"description":1286,"org":1287,"tags":1288,"stars":1244,"repoUrl":1245,"updatedAt":1297},"azure-ai-contentsafety-py","detect harmful content with Azure AI Content Safety","Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification.\nTriggers: \"azure-ai-contentsafety\", \"ContentSafetyClient\", \"content moderation\", \"harmful content\", \"text analysis\", \"image analysis\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1289,1290,1293,1294,1295,1296],{"name":1239,"slug":1240,"type":13},{"name":1291,"slug":1292,"type":13},"Compliance","compliance",{"name":1242,"slug":1243,"type":13},{"name":9,"slug":8,"type":13},{"name":15,"slug":16,"type":13},{"name":1280,"slug":1281,"type":13},"2026-07-18T05:14:23.017504",{"slug":1299,"name":1299,"fn":1300,"description":1301,"org":1302,"tags":1303,"stars":1244,"repoUrl":1245,"updatedAt":1308},"azure-ai-language-conversations-py","implement conversational language understanding with Python","Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1304,1305,1306,1307],{"name":1254,"slug":1255,"type":13},{"name":1239,"slug":1240,"type":13},{"name":1242,"slug":1243,"type":13},{"name":15,"slug":16,"type":13},"2026-07-31T05:54:29.068751",{"slug":1310,"name":1310,"fn":1311,"description":1312,"org":1313,"tags":1314,"stars":1244,"repoUrl":1245,"updatedAt":1321},"azure-ai-translation-text-py","translate text using Azure AI services","Azure AI Text Translation SDK for real-time text translation, transliteration, language detection, and dictionary lookup. Use for translating text content in applications.\nTriggers: \"text translation\", \"translator\", \"translate text\", \"transliterate\", \"TextTranslationClient\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1315,1318,1319,1320],{"name":1316,"slug":1317,"type":13},"API Development","api-development",{"name":1239,"slug":1240,"type":13},{"name":9,"slug":8,"type":13},{"name":15,"slug":16,"type":13},"2026-07-18T05:14:16.988376",{"slug":1323,"name":1323,"fn":1324,"description":1325,"org":1326,"tags":1327,"stars":1244,"repoUrl":1245,"updatedAt":1336},"azure-ai-vision-imageanalysis-py","analyze images with Azure AI Vision","Azure AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection, and smart cropping. Use for computer vision and image understanding tasks.\nTriggers: \"image analysis\", \"computer vision\", \"OCR\", \"object detection\", \"ImageAnalysisClient\", \"image caption\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1328,1329,1332,1335],{"name":1239,"slug":1240,"type":13},{"name":1330,"slug":1331,"type":13},"Computer Vision","computer-vision",{"name":1333,"slug":1334,"type":13},"Images","images",{"name":15,"slug":16,"type":13},"2026-07-18T05:14:18.007737",{"slug":1338,"name":1338,"fn":1339,"description":1340,"org":1341,"tags":1342,"stars":1244,"repoUrl":1245,"updatedAt":1351},"azure-appconfiguration-java","manage configuration with Azure App Configuration","Azure App Configuration SDK for Java. Centralized application configuration management with key-value settings, feature flags, and snapshots.\nTriggers: \"ConfigurationClient java\", \"app configuration java\", \"feature flag java\", \"configuration setting java\", \"azure config java\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1343,1344,1347,1350],{"name":1239,"slug":1240,"type":13},{"name":1345,"slug":1346,"type":13},"Configuration","configuration",{"name":1348,"slug":1349,"type":13},"Feature Flags","feature-flags",{"name":1261,"slug":1262,"type":13},"2026-07-03T16:32:01.278468",{"slug":1353,"name":1353,"fn":1354,"description":1355,"org":1356,"tags":1357,"stars":1244,"repoUrl":1245,"updatedAt":1370},"azure-cosmos-rust","build applications with Azure Cosmos DB","Azure Cosmos DB library for Rust (NoSQL API). Document CRUD, containers, and globally distributed data.\nTriggers: \"cosmos db rust\", \"CosmosClient rust\", \"document crud rust\", \"NoSQL rust\", \"partition key rust\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1358,1361,1364,1367],{"name":1359,"slug":1360,"type":13},"Cosmos DB","cosmos-db",{"name":1362,"slug":1363,"type":13},"Database","database",{"name":1365,"slug":1366,"type":13},"NoSQL","nosql",{"name":1368,"slug":1369,"type":13},"Rust","rust","2026-07-31T05:54:27.021432",{"slug":1372,"name":1372,"fn":1354,"description":1373,"org":1374,"tags":1375,"stars":1244,"repoUrl":1245,"updatedAt":1383},"azure-cosmos-ts","Azure Cosmos DB JavaScript\u002FTypeScript SDK (@azure\u002Fcosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management. Triggers: \"Cosmos DB\", \"@azure\u002Fcosmos\", \"CosmosClient\", \"document CRUD\", \"NoSQL queries\", \"bulk operations\", \"partition key\", \"container.items\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1376,1377,1378,1379,1380],{"name":1359,"slug":1360,"type":13},{"name":1362,"slug":1363,"type":13},{"name":9,"slug":8,"type":13},{"name":1365,"slug":1366,"type":13},{"name":1381,"slug":1382,"type":13},"TypeScript","typescript","2026-07-03T16:31:19.368382",{"slug":1385,"name":1385,"fn":1386,"description":1387,"org":1388,"tags":1389,"stars":1244,"repoUrl":1245,"updatedAt":1395},"azure-data-tables-java","build table storage applications with Java","Build table storage applications with Azure Tables SDK for Java. Use when working with Azure Table Storage or Cosmos DB Table API for NoSQL key-value data, schemaless storage, or structured data at scale.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1390,1391,1392,1393,1394],{"name":1239,"slug":1240,"type":13},{"name":1359,"slug":1360,"type":13},{"name":1362,"slug":1363,"type":13},{"name":1261,"slug":1262,"type":13},{"name":1365,"slug":1366,"type":13},"2026-05-13T06:14:17.582229",267,{"items":1398,"total":1125},[1399,1407],{"slug":4,"name":4,"fn":5,"description":6,"org":1400,"tags":1401,"stars":26,"repoUrl":27,"updatedAt":28},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1402,1403,1404,1405,1406],{"name":21,"slug":22,"type":13},{"name":18,"slug":19,"type":13},{"name":9,"slug":8,"type":13},{"name":15,"slug":16,"type":13},{"name":24,"slug":25,"type":13},{"slug":1408,"name":1408,"fn":1409,"description":1410,"org":1411,"tags":1412,"stars":26,"repoUrl":27,"updatedAt":1418},"dataverse-sdk-use","use the Dataverse Client Python SDK","Guidance for using the PowerPlatform Dataverse Client Python SDK. Use when calling the SDK like creating CRUD operations, SQL queries, table metadata management, relationships, and upload files.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1413,1414,1415,1416,1417],{"name":1316,"slug":1317,"type":13},{"name":21,"slug":22,"type":13},{"name":9,"slug":8,"type":13},{"name":15,"slug":16,"type":13},{"name":24,"slug":25,"type":13},"2026-04-06T18:36:18.060007"]