amar-python · amar-python · Jul 14, 2026 · Jul 14, 2026 · Jul 15, 2026
diff --git a/.abacus.donotdelete b/.abacus.donotdelete
diff --git a/.gitignore b/.gitignore
@@ -16,8 +16,11 @@ pg_dump_*
 test_output/
 *.out
 *.log
+# Migration engine runtime artifacts (relocated under backend/migration/)
 csv/logs/
 evals/reports/
+backend/migration/build/csv/logs/
+backend/migration/evals/reports/
 *_report_*.txt
 *_skipped_*.csv
 *_valid_*.csv
@@ -48,6 +51,24 @@ terraform-github-repos/*.tfstate.*
 terraform-github-repos/crash.log
 .abacusai/
 
+# --- MEP v2 (Migration Evaluation Platform) ---
+# Node / React frontend
+node_modules/
+frontend/node_modules/
+frontend/build/
+frontend/dist/
+frontend/.next/
+npm-debug.log*
+yarn-error.log*
+# Python bytecode / virtualenvs
+__pycache__/
+*.py[cod]
+.env
+.env.*
+# CSV upload staging (keep the directory, ignore its contents)
+uploads/*
+!uploads/.gitkeep
+
 # Terraform plan artifacts (binary, environment-specific, never commit)
 *.tfplan
 tfplan

diff --git a/...s/datasets/tier_p/02_empty_file/input.csv → ...0638-5cc98304bd6b46cd8995f7366abcb348.err b/...s/datasets/tier_p/02_empty_file/input.csv → ...0638-5cc98304bd6b46cd8995f7366abcb348.err
diff --git a/.logs/20260714-120638-5cc98304bd6b46cd8995f7366abcb348.retcode b/.logs/20260714-120638-5cc98304bd6b46cd8995f7366abcb348.retcode
@@ -0,0 +1 @@
+0
diff --git a/.logs/20260714-120638-76081c43c42740afab863c4d1aa7e876.err b/.logs/20260714-120638-76081c43c42740afab863c4d1aa7e876.err
diff --git a/.logs/20260714-120638-76081c43c42740afab863c4d1aa7e876.retcode b/.logs/20260714-120638-76081c43c42740afab863c4d1aa7e876.retcode
@@ -0,0 +1 @@
+0
diff --git a/.logs/20260714-120638-dd029799a43140f59bf3dc3a9bbc06d1.err b/.logs/20260714-120638-dd029799a43140f59bf3dc3a9bbc06d1.err
diff --git a/.logs/20260714-120638-dd029799a43140f59bf3dc3a9bbc06d1.retcode b/.logs/20260714-120638-dd029799a43140f59bf3dc3a9bbc06d1.retcode
@@ -0,0 +1 @@
+0
diff --git a/.logs/20260714-120926-043b35346de54103ae934160cb40769a.err b/.logs/20260714-120926-043b35346de54103ae934160cb40769a.err
diff --git a/.logs/20260714-120926-043b35346de54103ae934160cb40769a.retcode b/.logs/20260714-120926-043b35346de54103ae934160cb40769a.retcode
@@ -0,0 +1 @@
+0
diff --git a/.logs/20260714-120926-29affadedd99466d8c20bed323741c6d.err b/.logs/20260714-120926-29affadedd99466d8c20bed323741c6d.err
diff --git a/.logs/20260714-120926-29affadedd99466d8c20bed323741c6d.retcode b/.logs/20260714-120926-29affadedd99466d8c20bed323741c6d.retcode
@@ -0,0 +1 @@
+0
diff --git a/.logs/20260714-120926-b371c17d1ec94ea99f98fc35e4e2a8b6.err b/.logs/20260714-120926-b371c17d1ec94ea99f98fc35e4e2a8b6.err
diff --git a/.logs/20260714-120926-b371c17d1ec94ea99f98fc35e4e2a8b6.retcode b/.logs/20260714-120926-b371c17d1ec94ea99f98fc35e4e2a8b6.retcode
@@ -0,0 +1 @@
+0
diff --git a/.logs/20260714-121622-3109e609c96e4d10a4efba1bc6cd4c6c.err b/.logs/20260714-121622-3109e609c96e4d10a4efba1bc6cd4c6c.err
diff --git a/.logs/20260714-121622-3109e609c96e4d10a4efba1bc6cd4c6c.retcode b/.logs/20260714-121622-3109e609c96e4d10a4efba1bc6cd4c6c.retcode
@@ -0,0 +1 @@
+0
diff --git a/.logs/20260714-121622-98fea740f407491aa80f035877571b98.err b/.logs/20260714-121622-98fea740f407491aa80f035877571b98.err
diff --git a/.logs/20260714-121622-98fea740f407491aa80f035877571b98.retcode b/.logs/20260714-121622-98fea740f407491aa80f035877571b98.retcode
@@ -0,0 +1 @@
+0
diff --git a/.logs/20260714-121623-8634b54612934d2a920e6e9ebdaa642c.err b/.logs/20260714-121623-8634b54612934d2a920e6e9ebdaa642c.err
diff --git a/.logs/20260714-121623-8634b54612934d2a920e6e9ebdaa642c.retcode b/.logs/20260714-121623-8634b54612934d2a920e6e9ebdaa642c.retcode
@@ -0,0 +1 @@
+0
diff --git a/.logs/20260714-121623-b8972cb1fc964026bc7faf57c4a5f651.err b/.logs/20260714-121623-b8972cb1fc964026bc7faf57c4a5f651.err
diff --git a/.logs/20260714-121623-b8972cb1fc964026bc7faf57c4a5f651.retcode b/.logs/20260714-121623-b8972cb1fc964026bc7faf57c4a5f651.retcode
@@ -0,0 +1 @@
+0
diff --git a/README.md b/README.md
@@ -1,4 +1,50 @@
-# T&E Database Framework
+# Migration Evaluation Platform (MEP) v2
+
+> **MEP** is a web application that wraps the existing CSV → PostgreSQL migration engine
+> with a **React frontend** and a **FastAPI backend**, turning a powerful CLI/script-based
+> tool into an interactive platform for **uploading CSV files, running migrations, and
+> evaluating migration quality** (completeness, integrity, business-rule conformance, and
+> reconciliation reporting).
+
+[![Status](https://img.shields.io/badge/MEP-v2%20(in%20development)-blueviolet)](#)
+[![Backend](https://img.shields.io/badge/Backend-FastAPI-009688?logo=fastapi&logoColor=white)](#)
+[![Frontend](https://img.shields.io/badge/Frontend-React-61DAFB?logo=react&logoColor=white)](#)
+[![Engine](https://img.shields.io/badge/Engine-CSV%20%E2%86%92%20PostgreSQL-336791?logo=postgresql&logoColor=white)](backend/migration/)
+
+## What MEP Is
+
+The **Migration Evaluation Platform** does not replace the proven migration engine — it
+**wraps** it. The original, battle-tested SQL-first framework and CSV → PostgreSQL
+loader/validator pipeline now lives, unchanged, at **[`backend/migration/`](backend/migration/)**.
+The FastAPI backend shells out to / orchestrates that engine rather than reimplementing it,
+and a React frontend provides a UI for the full migrate-and-evaluate workflow.
+
+### Repository layout (MEP v2)
+
+```
+PostgreDataMigrationApp/
+├── backend/
+│   ├── api/            FastAPI routes (HTTP layer)
+│   ├── services/       Business logic
+│   ├── migration/      ← ORIGINAL migration engine (build/ evals/ infra/ tests/), preserved
+│   ├── evaluation/     Migration-quality evaluation logic
+│   ├── reports/        Reconciliation / evaluation report generation
+│   └── database/       MEP metadata models (MigrationRun, UploadedFile, ...)
+├── frontend/           React app
+├── docker/             Dockerfiles / compose
+├── docs/               Documentation
+├── uploads/            CSV upload staging
+└── .github/            CI workflows
+```
+
+> **Original engine:** everything that shipped before MEP — the multi-engine database
+> framework, the CSV pipeline, the 23 eval scenarios, the 85 SQL assertions, and the Azure
+> IaC — is preserved verbatim under **[`backend/migration/`](backend/migration/README.md)**.
+> The documentation below describes that original engine.
+
+---
+
+# T&E Database Framework (original engine — now under `backend/migration/`)
 
 > A fully parameterised, idempotent **PostgreSQL database framework** for **Test & Evaluation (T&E)** programme management — covering TEMP documents, VCRM traceability, test execution, defect reporting, and multi-environment deployment, with a built-in SQL test suite.
 

diff --git a/backend/.abacus.donotdelete b/backend/.abacus.donotdelete
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
diff --git a/backend/Dockerfile b/backend/Dockerfile
@@ -0,0 +1,13 @@
+FROM python:3.11-slim
+
+WORKDIR /app
+
+# System deps for psycopg2-binary are bundled, but keep image lean.
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . .
+
+EXPOSE 8000
+
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]
diff --git a/backend/api/__init__.py b/backend/api/__init__.py
@@ -0,0 +1 @@
+"""API package for the Migration Evaluation Platform (MEP)."""
diff --git a/backend/api/routes/__init__.py b/backend/api/routes/__init__.py
@@ -0,0 +1 @@
+"""API route modules for the Migration Evaluation Platform (MEP)."""
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		@@ -0,0 +1 @@
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		"""API package for the Migration Evaluation Platform (MEP)."""
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		"""API route modules for the Migration Evaluation Platform (MEP)."""