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-# AMS_DATA_MINE
-
-This repository contains all the code and configuration needed to migrate a legacy FileMaker Pro database to PostgreSQL, import and consolidate CSV survey data, and manage automated backups.
-
-## Project Structure
-
-```bash
-├── postgres/               # PostgreSQL server setup and configuration (e.g., Docker Compose, init scripts)
-│   ├── docker-compose.yml
-│   └── initdb/             # SQL files to initialize the database schema
-├── csv_import/             # Scripts for importing CSV files into staging tables
-│   └── import_csvs.sh      # Bulk imports all survey CSVs for DGdata and EENDR
-├── sql/                    # SQL migration and data-merging scripts
-│   ├── migrate_fmp.sql     # Translates FileMaker Pro exports into PostgreSQL-ready tables
-│   ├── merge_dgdata.sql    # Unifies DGdata surveys 2010–2015 into one table
-│   ├── merge_eendr.sql     # Unifies EENDR surveys 2010–2015 into one table
-│   └── merge_surveys.sql   # Combines DGdata and EENDR merged tables into a final survey table
-├── backups/                # Backup scripts and cron job configuration
-│   ├── backup.sh           # Runs pg_dump and prunes old backups
-│   └── crontab.entry       # Cron definition for daily backups at 2 AM
-└── README.md               # This file
-```  
-
-## Prerequisites
-
-- PostgreSQL 12 or newer (local or Docker)
-- Docker & Docker Compose (if using containerized setup)
-- Bash shell
-- Cron daemon for scheduled backups
-
-## 1. Setup PostgreSQL Server
-
-1. Clone this repository locally.
-2. Navigate to the `postgres/` directory:
-   ```bash
-   cd postgres/
-   ```
-3. Launch PostgreSQL (Docker Compose):
-   ```bash
-   docker-compose up -d
-   ```
-4. Verify connectivity:
-   ```bash
-   psql -h localhost -U <your_user> -d <your_db>
-   ```
-
-## 2. Data Migration from FileMaker Pro
-
-1. Export FileMaker tables as CSV files.
-2. Use the SQL in `sql/migrate_fmp.sql` to create corresponding tables and load data.
-   ```bash
-   psql -h localhost -U <user> -d <db> -f sql/migrate_fmp.sql
-   ```
-
-## 3. Importing Survey CSV Data
-
-The `csv_import/import_csvs.sh` script bulk-loads all DGdata and EENDR CSVs (2010–2015) into staging tables.
-
-```bash
-cd csv_import/
-./import_csvs.sh
-```
-
-This script assumes the CSV files follow the naming convention `dgdata_<year>.csv` and `eendr_<year>.csv`.
-
-## 4. Merging Survey Data
-
-### 4.1 Merge DGdata (2010–2015)
-
-**File: `sql/merge_dgdata.sql`**
-```sql
--- Combine individual DGdata tables into one
-DROP TABLE IF EXISTS dgdata_merged;
-CREATE TABLE dgdata_merged AS
-  SELECT * FROM dgdata_2010
-  UNION ALL SELECT * FROM dgdata_2011
-  UNION ALL SELECT * FROM dgdata_2012
-  UNION ALL SELECT * FROM dgdata_2013
-  UNION ALL SELECT * FROM dgdata_2014
-  UNION ALL SELECT * FROM dgdata_2015;
-```  
-
-### 4.2 Merge EENDR (2010–2015)
-
-**File: `sql/merge_eendr.sql`**
-```sql
-DROP TABLE IF EXISTS eendr_merged;
-CREATE TABLE eendr_merged AS
-  SELECT * FROM eendr_2010
-  UNION ALL SELECT * FROM eendr_2011
-  UNION ALL SELECT * FROM eendr_2012
-  UNION ALL SELECT * FROM eendr_2013
-  UNION ALL SELECT * FROM eendr_2014
-  UNION ALL SELECT * FROM eendr_2015;
-```  
-
-### 4.3 Combine into Final Survey Table
-
-**File: `sql/merge_surveys.sql`**
-```sql
--- Create a unified survey table with NULLs for missing columns
-DROP TABLE IF EXISTS surveys_final;
-CREATE TABLE surveys_final AS
-  SELECT
-    d.survey_id,
-    d.common_field1,
-    d.common_field2,
-    d.unique_dg_field,
-    NULL          AS unique_eendr_field
-  FROM dgdata_merged d
-  UNION ALL
-  SELECT
-    e.survey_id,
-    e.common_field1,
-    e.common_field2,
-    NULL         AS unique_dg_field,
-    e.unique_eendr_field
-  FROM eendr_merged e;
-
--- Alternatively, using a full outer join
--- to align on survey_id and preserve all columns
--- DROP TABLE IF EXISTS surveys_final;
--- CREATE TABLE surveys_final AS
--- SELECT COALESCE(d.survey_id, e.survey_id) AS survey_id,
---        d.common_field1,
---        e.common_field2,
---        d.unique_dg_field,
---        e.unique_eendr_field
--- FROM dgdata_merged d
--- FULL OUTER JOIN eendr_merged e USING (survey_id);
-```  
-
-## 5. Automated Backups
-
-A daily backup is scheduled via cron to run at 2 AM.  
-
-**File: `backups/crontab.entry`**
-```cron
-# m h dom mon dow command
-0 2 * * * /usr/local/bin/backup.sh
-```  
-
-**File: `backups/backup.sh`**
-```bash
-#!/usr/bin/env bash
-# PostgreSQL connection details
-PGUSER="your_pg_user"
-PGPASSWORD="your_pg_password"
-PGHOST="localhost"
-PGPORT="5432"
-DBNAME="ams_data_mine"
-
-# Backup directory and rotation
-BACKUP_DIR="/var/backups/ams_data_mine"
-RETENTION_DAYS=30
-
-# Create backup directory if it doesn't exist
-mkdir -p "$BACKUP_DIR"
-
-# Generate filename with date
-DATE_STR=$(date +"%F")
-BACKUP_FILE="$BACKUP_DIR/${DBNAME}_$DATE_STR.sql"
-
-# Perform the dump
-pg_dump -U "$PGUSER" -h "$PGHOST" -p "$PGPORT" "$DBNAME" > "$BACKUP_FILE"
-
-# Remove backups older than retention period
-find "$BACKUP_DIR" -type f -mtime +$RETENTION_DAYS -delete
-```  
-
-## Contributing
-
-1. Fork the repository.  
-2. Create a feature branch (`git checkout -b feature/YourFeature`).  
-3. Commit your changes (`git commit -m 'Add new feature'`).  
-4. Push to the branch (`git push origin feature/YourFeature`).  
-5. Open a pull request.
-
-## License
-
-This project is released under the MIT License. See [LICENSE](LICENSE) for details.
-
+# AMS-Data-Mine
\ No newline at end of file