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5.0 KiB
5.0 KiB
Code Style Standards
Python
Imports
Order: stdlib → third-party → OpenMetadata generated → OpenMetadata internal
import json
import traceback
from functools import partial
from typing import Iterable, Optional
import requests
from sqlalchemy.engine import Engine
from metadata.generated.schema.entity.services.connections.database.myDbConnection import (
MyDbConnection,
)
from metadata.ingestion.api.models import Either
from metadata.ingestion.connections.connection import BaseConnection
from metadata.utils.logger import ingestion_logger
Naming
- Connector directory:
snake_case(e.g.,my_database) - Python classes:
PascalCase(e.g.,MyDatabaseSource) - JSON Schema file:
lowerCamelCase+Connection.json(e.g.,myDatabaseConnection.json) - Type enum:
PascalCase(e.g.,MyDatabase)
Type Annotations
- All function signatures must have type annotations
- Use
Optional[T]for nullable fields - Use
Iterable[Either[...]]for yield methods - Import types from
typingorcollections.abc
No Unnecessary Comments
- Do NOT add comments that describe what code obviously does
- Only comment complex business logic, non-obvious algorithms, or workarounds
- No Google-style docstrings with
Args:/Returns:on simple methods - If code needs a comment to be understood, refactor the code instead
Pydantic Models
When defining Pydantic models for API responses with aliased fields:
- Always set
model_config = ConfigDict(populate_by_name=True)when usingField(alias=...)— without it, constructing instances with Python attribute names raisesValidationError - Use
Optional[T]withField(None, alias=...)for nullable fields - Create list response wrapper models inheriting from a base OData/pagination response
from pydantic import BaseModel, ConfigDict, Field
class MyApiReport(BaseModel):
model_config = ConfigDict(populate_by_name=True)
id: str = Field(alias="Id")
name: str = Field(alias="Name")
description: Optional[str] = Field(None, alias="Description")
class MyApiListResponse(BaseModel):
value: List[MyApiReport] = Field(default_factory=list)
Error Messages
Include context in error messages:
# Good
raise ValueError(f"Cannot connect to {config.hostPort}: {exc}")
# Bad
raise ValueError("Connection failed")
JSON Schema
File Naming
Schema file names use lowerCamelCase:
myDatabaseConnection.json(notmy_database_connection.json)bigQueryConnection.json(notbig_query_connection.json)
Required Fields
Every connection schema must have:
$idwith full URI path$schema:http://json-schema.org/draft-07/schema#title: PascalCase connection namejavaType: Full Java class pathtype:"object"definitionsblock with type enumadditionalProperties: false
Property Conventions
- Use
titlefor UI labels - Use
descriptionfor help text - Use
format: "password"for secrets - Use
format: "uri"for URLs - Use
defaultvalues where sensible - Use
$refto compose from shared schemas
$ref Paths
Paths are relative from the schema file location:
- Auth:
./common/basicAuth.json - SSL:
../../../../security/ssl/verifySSLConfig.json#/definitions/sslConfig - Filters:
../../../../type/filterPattern.json#/definitions/filterPattern - Connection extras:
../connectionBasicType.json#/definitions/connectionOptions - Capability flags:
../connectionBasicType.json#/definitions/supportsMetadataExtraction
Copyright Header
All Python files must start with:
# Copyright 2025 OpenMetadata
# Licensed under the Collate Community License, Version 1.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# https://github.com/open-metadata/OpenMetadata/blob/main/ingestion/LICENSE
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
Formatting
- Python:
ruff(lint + format, runmake py_formatto apply,make py_format_checkto verify) - Java:
spotless(runmvn spotless:apply) - Line length: 120
Always run formatting before committing:
source env/bin/activate
make py_format
mvn spotless:apply
If make py_format fails because tools are not installed:
source env/bin/activate
make install_dev generate
make py_format
Pre-Merge Cleanup
CONNECTOR_CONTEXT.md is gitignored and stays local — no action needed for that file.
Before submitting a PR, verify:
- No scaffolding artifacts are staged (check
git status— CONNECTOR_CONTEXT.md should not appear) - Remove any
TODOcomments that are implementation instructions (keep only genuine future-work TODOs with ticket references) - Remove any temporary test fixtures or mock data files that aren't part of the test suite