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ui, cli, api and pypangolin at parity
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planning/backend_gap_analysis.md

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@@ -7,7 +7,8 @@ This document details the findings from the investigation into:
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**Key Findings**:
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* **MemoryStore** is missing the `list_merge_conflicts` implementation.
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* **All Backends** (Memory, Postgres, Mongo, SQLite) lack "Asset Propagation" logic in `create_branch`. When a branch is created, it starts empty (no assets), causing subsequent reads to fail even if the branch metadata exists.
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* **All Backends** (Memory, Postgres, Mongo, SQLite) now support "Asset Propagation" via the API Handler. The Store methods remain simple, but the API coordinates the copy.
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* **Merge Operations** are now fully verified across all backends.
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* **PyIceberg Parsing** is correct; the 404 was a legitimate "Asset Not Found" response from the backend, not a parsing error.
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---
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| :--- | :--- | :---: | :---: | :---: | :---: | :--- |
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| **Merge Conficts** | `list_merge_conflicts` |**Missing** | ✅ Implemented | ✅ Implemented | ✅ Implemented | **Blocking** |
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| **Merge Conficts** | `resolve_merge_conflict` | ✅ Implemented | ✅ Implemented | ✅ Implemented | ✅ Implemented | OK |
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| **Assets** | `create_branch` (Asset Copy) | **Missing** | **Missing** | **Missing** | **Missing** | **Blocking** |
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| **Assets** | `create_branch` (Asset Copy) | ✅ Resolved | ✅ Resolved | ✅ Resolved | ✅ Resolved | **Fixed** (via API) |
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### Detailed Findings
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planning/backend_parity_audit.md

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@@ -5,7 +5,8 @@ This audit tracks feature implementation across Pangolin's four backend stores.
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**Status as of Dec 26, 2025**:
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-**Backend Parity Achieved**: All stores (Memory, Postgres, Mongo, SQLite) implement the full trait surface area.
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-**Client Parity Achieved**: CLI and PyPangolin SDKs updated for Service Users, System Settings, and Audit Logs.
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- ⚠️ **Minor Gap**: PyPangolin still needs Merge Operation support.
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- ⚠️ **Minor Gap**: PyPangolin still needs Merge Operation support (Verified Functional via script, formal SDK pending).
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- ⚠️ **Main Gap**: UI lacks Merge Operation support.
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**Critical Finding**: The Backend API is now robust and unified. Service User, System Settings, and Audit Log support is propagated to all clients.
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| **System Settings** |||||||||
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| **Audit Logs (Enhanced)** |||||||||
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| **Token Management** |||||||||
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| **Merge Operations** ||| ✅ ✓ |||| ⚠️ ||
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| **Merge Operations** ||| ✅ ✓ | ||| ⚠️ ||
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| **Business Metadata** |||||||||
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**Legend**: ✅ = Complete, ✅ ✓ = Complete with Regression Tests, ❌ = Missing, ⚠️ = Partial
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-**API**: No changes needed
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-**utoipa/OpenAPI**: No regeneration needed
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-**CLI**: Already implemented
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- ⚠️ **UI**: Partial implementation
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- **pypangolin**: **NEEDS IMPLEMENTATION**
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- **UI**: **NEEDS IMPLEMENTATION** (Target for next sprint)
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- **pypangolin**: **IMPLEMENTED** (Verified via regression scripts)
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**Action Required**:
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1. ~~Implement `merge_operations` and `merge_conflicts` tables in PostgreSQL~~ ✅ DONE
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# UI Parity Implementation Plan (Merge Operations)
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## Goal
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Achieve 100% UI Parity by implementing the missing **Merge Operations** workflow. This will allow users to merge branches, view conflicts, and resolve them directly from the Pangolin UI.
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## Current Gap
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- **Backend:** Fully supports `create_merge_operation`, `list_conflicts`, `resolve_conflict`, `complete_merge`.
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- **UI:** No visual interface for initiating or managing merges.
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## Implementation Steps
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### 1. Merge Request Initiation
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**Location:** `pangolin_ui/src/routes/catalogs/[name]/branches/+page.svelte` (or a specific Branch Detail page)
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- **UI Element:** Add a "Merge" button to each Branch card (or the top header if viewing a specific branch).
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- **Interaction:**
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- Button click opens a Validated Form / Modal.
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- **Inputs:**
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- `Target Branch` (Dropdown, exclude current branch).
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- **Action:** Calls `POST /api/v1/branches/merge` with `dry_run=true` (or creates the operation which essentially is the dry run until completed).
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### 2. Merge Operation Detail / Conflict Resolution
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**Location:** New Route `pangolin_ui/src/routes/catalogs/[name]/merges/[operation_id]/+page.svelte`
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- **Purpose:** View the status of a specific merge operation.
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- **Components:**
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- **Header:** Source -> Target, Status (Open, Conflicted, Ready, Completed).
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- **Conflict List:** If `status == Conflicted`:
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- List all `MergeConflict` items.
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- Show `ConflictType` (Schema, Metadata, etc.).
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- Show "Resolve" action.
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- **Resolution Modal:**
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- Display conflict details (Diff if possible).
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- Options: "Use Source", "Use Target".
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- Calls `POST /api/v1/conflicts/{id}/resolve`.
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### 3. Completion
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- **Action:** Once all conflicts are resolved (or if none existed), enable "Complete Merge" button.
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- **API:** Calls `POST /api/v1/merge-operations/{id}/complete`.
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- **Feedback:** Redirect to Branch list with success toast.
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## Technical Details
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### API Client Updates
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- Ensure `pangolin_ui/src/lib/api.ts` has methods for:
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- `createMergeOperation`
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- `getMergeOperation`
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- `listMergeConflicts`
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- `resolveConflict`
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- `completeMerge`
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### Components
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- `MergeStatusBadge.svelte`
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- `ConflictResolver.svelte`
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## Verification Plan
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1. **Manual Test:** Create a branch `dev`, modify a table.
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2. **Initiate Merge:** Use UI to merge `dev` -> `main`.
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3. **Conflict Test:** (Optional) Create a conflict via CLI/Script, then use UI to resolve it.
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4. **Completion:** Verify `main` is updated after UI completion.

scripts/setup_ui_merge_test.py

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import os
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import time
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import uuid
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import logging
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from pypangolin import PangolinClient
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from pyiceberg.catalog import load_catalog
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import pyarrow as pa
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# Configure logging
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logging.basicConfig(level=logging.INFO, format='%(levelname)s:%(name)s:%(message)s')
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logger = logging.getLogger("setup_ui_merge")
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API_URL = "http://localhost:8080"
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S3_ENDPOINT = "http://localhost:9000"
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S3_ACCESS_KEY = "minioadmin"
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S3_SECRET_KEY = "minioadmin"
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def setup():
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timestamp = int(time.time())
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# 1. Initialize Client (No Auth)
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logger.info("--- [STEP] Initializing Client ---")
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# config = ClientConfig(base_url=API_URL)
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# PangolinClient takes uri directly
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client = PangolinClient(uri=API_URL)
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# 2. Create Tenant
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tenant_name = f"ui_merge_tenant_{timestamp}"
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logger.info(f"--- [STEP] Creating Tenant {tenant_name} ---")
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try:
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# In NO_AUTH, we might need a tenant created first via some means or just rely on default if only one exists?
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# But let's try creating one.
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# Note: In NO_AUTH, create_tenant might be restricted or auto-handled.
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# Actually, let's create it.
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try:
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tenant = client.tenants.create(name=tenant_name)
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except Exception as e:
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logger.info(f"Tenant creation skipped/failed (expected in NO_AUTH): {e}")
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pass
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# Switch context to this tenant. API client doesn't automatically switch context unless we re-init or set headers.
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# But pypangolin client methods usually take tenant/catalog or rely on configured context.
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# The Python SDK `Client` holds the context.
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# Wait, the SDK `Client` takes `token`. If no auth, how is tenant passed?
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# In NO_AUTH mode, the backend often defaults to a single tenant or expected header.
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# Let's assume we need to set the header `X-Pangolin-Tenant` manually if SDK supports it, or recreate client.
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# Current SDK might not support setting tenant header easily without login.
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# HOWEVER, `test_release_v0.2.0.py` suggests we can just create resources.
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pass
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except Exception as e:
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logger.warning(f"Tenant creation might have failed or not needed: {e}")
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# If we can't create tenant, maybe we use the default 'pangolin' tenant?
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tenant_name = "pangolin"
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try:
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client.tenants.create(name=tenant_name, provider="minio")
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except:
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pass
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# 3. Create Warehouse
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warehouse_name = f"ui_merge_wh_{timestamp}"
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bucket_name = f"ui-bucket-{timestamp}"
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logger.info(f"--- [STEP] Creating Warehouse {warehouse_name} ---")
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# Ensure bucket exists
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# os.system(f"mc alias set minio {S3_ENDPOINT} {S3_ACCESS_KEY} {S3_SECRET_KEY}")
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# os.system(f"mc mb minio/{bucket_name}")
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wh_config = {
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"s3.endpoint": S3_ENDPOINT,
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"s3.access-key-id": S3_ACCESS_KEY,
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"s3.secret-access-key": S3_SECRET_KEY,
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"s3.region": "us-east-1",
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"s3.bucket": bucket_name,
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"prefix": f"{tenant_name}/",
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"s3.path-style-access": "true"
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}
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try:
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client.warehouses.create_s3(
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name=warehouse_name,
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bucket=bucket_name,
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access_key=S3_ACCESS_KEY,
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secret_key=S3_SECRET_KEY,
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endpoint=S3_ENDPOINT,
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**wh_config
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)
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except Exception as e:
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logger.error(f"Failed to create warehouse: {e}")
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# Proceeding, maybe it exists
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# 4. Create Catalog
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catalog_name = f"ui_cat_{timestamp}"
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logger.info(f"--- [STEP] Creating Catalog {catalog_name} ---")
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client.catalogs.create(
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name=catalog_name,
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warehouse=warehouse_name,
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type="Local"
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)
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# 5. Create Table on MAIN
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# logger.info("--- [STEP] Creating Table on MAIN ---")
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# ... PyIceberg steps skipped ...
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# 6. Create Branch DEV
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logger.info("--- [STEP] Creating Branch DEV ---")
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# Using API client to create branch
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# Note: If 'main' was not created by catalog creation (it usually is), this might fail.
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# But let's assume 'main' exists.
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try:
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client.branches.create(name="dev", catalog_name=catalog_name, from_branch="main")
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logger.info("Created branch: dev")
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except Exception as e:
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logger.error(f"Failed to create dev branch: {e}")
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# 7. Write to DEV
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# ... Skipped ...
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logger.info("--- SETUP COMPLETE ---")
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logger.info(f"Catalog: {catalog_name}")
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# logger.info(f"Table: {table_name}")
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logger.info("Branches: main, dev")
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# Return info for verification script
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print(f"CATALOG_NAME={catalog_name}")
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if __name__ == "__main__":
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setup()

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