7e5abd504f
Add three DBOS SDK skills with reference documentation for building reliable, fault-tolerant applications with durable workflows. Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
42 lines
1.4 KiB
Markdown
42 lines
1.4 KiB
Markdown
# Section Definitions
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This file defines the rule categories for DBOS Python best practices. Rules are automatically assigned to sections based on their filename prefix.
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---
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## 1. Lifecycle (lifecycle)
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**Impact:** CRITICAL
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**Description:** DBOS configuration, initialization, and launch patterns. Foundation for all DBOS applications.
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## 2. Workflow (workflow)
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**Impact:** CRITICAL
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**Description:** Workflow creation, determinism requirements, background execution, and workflow IDs.
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## 3. Step (step)
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**Impact:** HIGH
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**Description:** Step creation, retries, transactions, and when to use steps vs workflows.
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## 4. Queue (queue)
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**Impact:** HIGH
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**Description:** Queue creation, concurrency limits, rate limiting, partitioning, and priority.
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## 5. Communication (comm)
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**Impact:** MEDIUM
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**Description:** Workflow events, messages, and streaming for inter-workflow communication.
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## 6. Pattern (pattern)
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**Impact:** MEDIUM
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**Description:** Common patterns including idempotency, scheduled workflows, debouncing, and classes.
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## 7. Testing (test)
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**Impact:** LOW-MEDIUM
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**Description:** Testing DBOS applications with pytest, fixtures, and best practices.
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## 8. Client (client)
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**Impact:** MEDIUM
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**Description:** DBOSClient for interacting with DBOS from external applications.
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## 9. Advanced (advanced)
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**Impact:** LOW
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**Description:** Async workflows, workflow versioning, patching, and code upgrades.
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