Put back files

inventory-server/chat/create-new-database.sql

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+-- PostgreSQL Database Creation Script for New Server
+-- Run as: sudo -u postgres psql -f create-new-database.sql
+
+-- Terminate all connections to the database (if it exists)
+SELECT pg_terminate_backend(pid)
+FROM pg_stat_activity
+WHERE datname = 'rocketchat_converted' AND pid <> pg_backend_pid();
+
+-- Drop the database if it exists
+DROP DATABASE IF EXISTS rocketchat_converted;
+
+-- Create fresh database
+CREATE DATABASE rocketchat_converted;
+
+-- Create user (if not exists) - UPDATE PASSWORD BEFORE RUNNING!
+DO $$ 
+BEGIN
+    IF NOT EXISTS (SELECT FROM pg_user WHERE usename = 'rocketchat_user') THEN
+        CREATE USER rocketchat_user WITH PASSWORD 'HKjLgt23gWuPXzEAn3rW';
+    END IF;
+END $$;
+
+-- Grant database privileges
+GRANT CONNECT ON DATABASE rocketchat_converted TO rocketchat_user;
+GRANT CREATE ON DATABASE rocketchat_converted TO rocketchat_user;
+
+-- Connect to the new database
+\c rocketchat_converted;
+
+-- Grant schema privileges
+GRANT CREATE ON SCHEMA public TO rocketchat_user;
+GRANT USAGE ON SCHEMA public TO rocketchat_user;
+
+-- Grant privileges on all future tables and sequences
+ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT SELECT, INSERT, UPDATE, DELETE ON TABLES TO rocketchat_user;
+ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT USAGE, SELECT ON SEQUENCES TO rocketchat_user;
+
+-- Display success message
+\echo 'Database created successfully!'
+\echo 'IMPORTANT: Update the password for rocketchat_user before proceeding'
+\echo 'Next steps:'
+\echo '1. Update the password in this file'
+\echo '2. Run export-chat-data.sh on your current server'  
+\echo '3. Transfer the exported files to this server'
+\echo '4. Run import-chat-data.sh on this server'

inventory-server/chat/db-convert/mongo_to_postgres_converter.py

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+#!/usr/bin/env python3
+"""
+MongoDB to PostgreSQL Converter for Rocket.Chat
+Converts MongoDB BSON export files to PostgreSQL database
+
+Usage:
+    python3 mongo_to_postgres_converter.py \
+        --mongo-path db/database/62df06d44234d20001289144 \
+        --pg-database rocketchat_converted \
+        --pg-user rocketchat_user \
+        --pg-password your_password \
+        --debug
+"""
+
+import json
+import os
+import re
+import subprocess
+import sys
+import struct
+from datetime import datetime
+from pathlib import Path
+from typing import Dict, Any, List, Optional
+import argparse
+import traceback
+
+# Auto-install dependencies if needed
+try:
+    import bson
+    import psycopg2
+except ImportError:
+    print("Installing required packages...")
+    subprocess.check_call([sys.executable, "-m", "pip", "install", "pymongo", "psycopg2-binary"])
+    import bson
+    import psycopg2
+
+class MongoToPostgresConverter:
+    def __init__(self, mongo_db_path: str, postgres_config: Dict[str, str], debug_mode: bool = False, debug_collections: List[str] = None):
+        self.mongo_db_path = Path(mongo_db_path)
+        self.postgres_config = postgres_config
+        self.debug_mode = debug_mode
+        self.debug_collections = debug_collections or []
+        self.collections = {}
+        self.schema_info = {}
+        self.error_log = {}
+        
+    def log_debug(self, message: str, collection: str = None):
+        """Log debug messages if debug mode is enabled and collection is in debug list"""
+        if self.debug_mode and (not self.debug_collections or collection in self.debug_collections):
+            print(f"DEBUG: {message}")
+            
+    def log_error(self, collection: str, error_type: str, details: str):
+        """Log detailed error information"""
+        if collection not in self.error_log:
+            self.error_log[collection] = []
+        self.error_log[collection].append({
+            'type': error_type,
+            'details': details,
+            'timestamp': datetime.now().isoformat()
+        })
+        
+    def sample_documents(self, collection_name: str, max_samples: int = 3) -> List[Dict]:
+        """Sample documents from a collection for debugging"""
+        if not self.debug_mode or (self.debug_collections and collection_name not in self.debug_collections):
+            return []
+            
+        print(f"\n🔍 Sampling documents from {collection_name}:")
+        
+        bson_file = self.collections[collection_name]['bson_file']
+        if bson_file.stat().st_size == 0:
+            print("  Collection is empty")
+            return []
+            
+        samples = []
+        
+        try:
+            with open(bson_file, 'rb') as f:
+                sample_count = 0
+                while sample_count < max_samples:
+                    try:
+                        doc_size = int.from_bytes(f.read(4), byteorder='little')
+                        if doc_size <= 0:
+                            break
+                        f.seek(-4, 1)
+                        doc_bytes = f.read(doc_size)
+                        if len(doc_bytes) != doc_size:
+                            break
+                            
+                        doc = bson.decode(doc_bytes)
+                        samples.append(doc)
+                        sample_count += 1
+                        
+                        print(f"  Sample {sample_count} - Keys: {list(doc.keys())}")
+                        # Show a few key fields with their types and truncated values
+                        for key, value in list(doc.items())[:3]:
+                            value_preview = str(value)[:50] + "..." if len(str(value)) > 50 else str(value)
+                            print(f"    {key}: {type(value).__name__} = {value_preview}")
+                        if len(doc) > 3:
+                            print(f"    ... and {len(doc) - 3} more fields")
+                        print()
+                        
+                    except (bson.InvalidBSON, struct.error, OSError) as e:
+                        self.log_error(collection_name, 'document_parsing', str(e))
+                        break
+                        
+        except Exception as e:
+            self.log_error(collection_name, 'file_reading', str(e))
+            print(f"  Error reading collection: {e}")
+            
+        return samples
+
+    def discover_collections(self):
+        """Discover all BSON files and their metadata"""
+        print("Discovering MongoDB collections...")
+        
+        for bson_file in self.mongo_db_path.glob("*.bson"):
+            collection_name = bson_file.stem
+            metadata_file = bson_file.with_suffix(".metadata.json")
+            
+            # Read metadata if available
+            metadata = {}
+            if metadata_file.exists():
+                try:
+                    with open(metadata_file, 'r', encoding='utf-8') as f:
+                        metadata = json.load(f)
+                except (UnicodeDecodeError, json.JSONDecodeError) as e:
+                    print(f"Warning: Could not read metadata for {collection_name}: {e}")
+                    metadata = {}
+            
+            # Get file size and document count estimate
+            file_size = bson_file.stat().st_size
+            doc_count = self._estimate_document_count(bson_file)
+            
+            self.collections[collection_name] = {
+                'bson_file': bson_file,
+                'metadata': metadata,
+                'file_size': file_size,
+                'estimated_docs': doc_count
+            }
+            
+        print(f"Found {len(self.collections)} collections")
+        for name, info in self.collections.items():
+            print(f"  - {name}: {info['file_size']/1024/1024:.1f}MB (~{info['estimated_docs']} docs)")
+    
+    def _estimate_document_count(self, bson_file: Path) -> int:
+        """Estimate document count by reading first few documents"""
+        if bson_file.stat().st_size == 0:
+            return 0
+            
+        try:
+            with open(bson_file, 'rb') as f:
+                docs_sampled = 0
+                bytes_sampled = 0
+                max_sample_size = min(1024 * 1024, bson_file.stat().st_size)  # 1MB or file size
+                
+                while bytes_sampled < max_sample_size:
+                    try:
+                        doc_size = int.from_bytes(f.read(4), byteorder='little')
+                        if doc_size <= 0 or doc_size > 16 * 1024 * 1024:  # MongoDB doc size limit
+                            break
+                        f.seek(-4, 1)  # Go back
+                        doc_bytes = f.read(doc_size)
+                        if len(doc_bytes) != doc_size:
+                            break
+                        bson.decode(doc_bytes)  # Validate it's a valid BSON document
+                        docs_sampled += 1
+                        bytes_sampled += doc_size
+                    except (bson.InvalidBSON, struct.error, OSError):
+                        break
+                
+                if docs_sampled > 0 and bytes_sampled > 0:
+                    avg_doc_size = bytes_sampled / docs_sampled
+                    return int(bson_file.stat().st_size / avg_doc_size)
+                    
+        except Exception:
+            pass
+            
+        return 0
+    
+    def analyze_schema(self, collection_name: str, sample_size: int = 100) -> Dict[str, Any]:
+        """Analyze collection schema by sampling documents"""
+        print(f"Analyzing schema for {collection_name}...")
+        
+        bson_file = self.collections[collection_name]['bson_file']
+        if bson_file.stat().st_size == 0:
+            return {}
+            
+        schema = {}
+        docs_analyzed = 0
+        
+        try:
+            with open(bson_file, 'rb') as f:
+                while docs_analyzed < sample_size:
+                    try:
+                        doc_size = int.from_bytes(f.read(4), byteorder='little')
+                        if doc_size <= 0:
+                            break
+                        f.seek(-4, 1)
+                        doc_bytes = f.read(doc_size)
+                        if len(doc_bytes) != doc_size:
+                            break
+                            
+                        doc = bson.decode(doc_bytes)
+                        self._analyze_document_schema(doc, schema)
+                        docs_analyzed += 1
+                        
+                    except (bson.InvalidBSON, struct.error, OSError):
+                        break
+                        
+        except Exception as e:
+            print(f"Error analyzing {collection_name}: {e}")
+            
+        self.schema_info[collection_name] = schema
+        return schema
+    
+    def _analyze_document_schema(self, doc: Dict[str, Any], schema: Dict[str, Any], prefix: str = ""):
+        """Recursively analyze document structure"""
+        for key, value in doc.items():
+            full_key = f"{prefix}.{key}" if prefix else key
+            
+            if full_key not in schema:
+                schema[full_key] = {
+                    'types': set(),
+                    'null_count': 0,
+                    'total_count': 0,
+                    'is_array': False,
+                    'nested_schema': {}
+                }
+            
+            schema[full_key]['total_count'] += 1
+            
+            if value is None:
+                schema[full_key]['null_count'] += 1
+                schema[full_key]['types'].add('null')
+            elif isinstance(value, dict):
+                schema[full_key]['types'].add('object')
+                if 'nested_schema' not in schema[full_key]:
+                    schema[full_key]['nested_schema'] = {}
+                self._analyze_document_schema(value, schema[full_key]['nested_schema'])
+            elif isinstance(value, list):
+                schema[full_key]['types'].add('array')
+                schema[full_key]['is_array'] = True
+                if value and isinstance(value[0], dict):
+                    if 'array_item_schema' not in schema[full_key]:
+                        schema[full_key]['array_item_schema'] = {}
+                    for item in value[:5]:  # Sample first 5 items
+                        if isinstance(item, dict):
+                            self._analyze_document_schema(item, schema[full_key]['array_item_schema'])
+            else:
+                schema[full_key]['types'].add(type(value).__name__)
+    
+    def generate_postgres_schema(self) -> Dict[str, str]:
+        """Generate PostgreSQL CREATE TABLE statements"""
+        print("Generating PostgreSQL schema...")
+        
+        table_definitions = {}
+        
+        for collection_name, schema in self.schema_info.items():
+            if not schema:  # Empty collection
+                continue
+                
+            table_name = self._sanitize_table_name(collection_name)
+            columns = []
+            
+            # Always add an id column (PostgreSQL doesn't use _id like MongoDB)
+            columns.append("id SERIAL PRIMARY KEY")
+            
+            for field_name, field_info in schema.items():
+                if field_name == '_id':
+                    columns.append("mongo_id TEXT")  # Always allow NULL for mongo_id
+                    continue
+                    
+                col_name = self._sanitize_column_name(field_name)
+                
+                # Handle conflicts with PostgreSQL auto-generated columns
+                if col_name in ['id', 'mongo_id', 'created_at', 'updated_at']:
+                    col_name = f"field_{col_name}"
+                
+                col_type = self._determine_postgres_type(field_info)
+                
+                # Make all fields nullable by default to avoid constraint violations
+                columns.append(f"{col_name} {col_type}")
+            
+            # Add metadata columns
+            columns.extend([
+                "created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP",
+                "updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP"
+            ])
+            
+            column_definitions = ',\n    '.join(columns)
+            table_sql = f"""
+CREATE TABLE IF NOT EXISTS {table_name} (
+    {column_definitions}
+);
+
+-- Create indexes based on MongoDB indexes
+"""
+            
+            # Get list of actual columns that will exist in the table
+            existing_columns = set(['id', 'mongo_id', 'created_at', 'updated_at'])
+            for field_name in schema.keys():
+                if field_name != '_id':
+                    col_name = self._sanitize_column_name(field_name)
+                    # Handle conflicts with PostgreSQL auto-generated columns
+                    if col_name in ['id', 'mongo_id', 'created_at', 'updated_at']:
+                        col_name = f"field_{col_name}"
+                    existing_columns.add(col_name)
+            
+            # Add indexes from MongoDB metadata
+            metadata = self.collections[collection_name].get('metadata', {})
+            indexes = metadata.get('indexes', [])
+            
+            for index in indexes:
+                if index['name'] != '_id_':  # Skip the default _id index
+                    # Sanitize index name - remove special characters
+                    sanitized_index_name = re.sub(r'[^a-zA-Z0-9_]', '_', index['name'])
+                    index_name = f"idx_{table_name}_{sanitized_index_name}"
+                    index_keys = list(index['key'].keys())
+                    if index_keys:
+                        sanitized_keys = []
+                        for key in index_keys:
+                            if key != '_id':
+                                sanitized_key = self._sanitize_column_name(key)
+                                # Handle conflicts with PostgreSQL auto-generated columns
+                                if sanitized_key in ['id', 'mongo_id', 'created_at', 'updated_at']:
+                                    sanitized_key = f"field_{sanitized_key}"
+                                # Only add if the column actually exists in our table
+                                if sanitized_key in existing_columns:
+                                    sanitized_keys.append(sanitized_key)
+                        
+                        if sanitized_keys:
+                            table_sql += f"CREATE INDEX IF NOT EXISTS {index_name} ON {table_name} ({', '.join(sanitized_keys)});\n"
+            
+            table_definitions[collection_name] = table_sql
+            
+        return table_definitions
+    
+    def _sanitize_table_name(self, name: str) -> str:
+        """Convert MongoDB collection name to PostgreSQL table name"""
+        # Remove rocketchat_ prefix if present
+        if name.startswith('rocketchat_'):
+            name = name[11:]
+        
+        # Replace special characters with underscores
+        name = re.sub(r'[^a-zA-Z0-9_]', '_', name)
+        
+        # Ensure it starts with a letter
+        if name and name[0].isdigit():
+            name = 'table_' + name
+            
+        return name.lower()
+    
+    def _sanitize_column_name(self, name: str) -> str:
+        """Convert MongoDB field name to PostgreSQL column name"""
+        # Handle nested field names (convert dots to underscores)
+        name = name.replace('.', '_')
+        
+        # Replace special characters with underscores
+        name = re.sub(r'[^a-zA-Z0-9_]', '_', name)
+        
+        # Ensure it starts with a letter or underscore
+        if name and name[0].isdigit():
+            name = 'col_' + name
+            
+        # Handle PostgreSQL reserved words
+        reserved = {
+            'user', 'order', 'group', 'table', 'index', 'key', 'value', 'date', 'time', 'timestamp',
+            'default', 'select', 'from', 'where', 'insert', 'update', 'delete', 'create', 'drop',
+            'alter', 'grant', 'revoke', 'commit', 'rollback', 'begin', 'end', 'case', 'when',
+            'then', 'else', 'if', 'null', 'not', 'and', 'or', 'in', 'exists', 'between',
+            'like', 'limit', 'offset', 'union', 'join', 'inner', 'outer', 'left', 'right',
+            'full', 'cross', 'natural', 'on', 'using', 'distinct', 'all', 'any', 'some',
+            'desc', 'asc', 'primary', 'foreign', 'references', 'constraint', 'unique',
+            'check', 'cascade', 'restrict', 'action', 'match', 'partial', 'full'
+        }
+        if name.lower() in reserved:
+            name = name + '_col'
+            
+        return name.lower()
+    
+    def _determine_postgres_type(self, field_info: Dict[str, Any]) -> str:
+        """Determine PostgreSQL column type from MongoDB field analysis with improved logic"""
+        types = field_info['types']
+        
+        # Convert set to list for easier checking
+        type_list = list(types)
+        
+        # If there's only one type (excluding null), use specific typing
+        non_null_types = [t for t in type_list if t != 'null']
+        
+        if len(non_null_types) == 1:
+            single_type = non_null_types[0]
+            if single_type == 'bool':
+                return 'BOOLEAN'
+            elif single_type == 'int':
+                return 'INTEGER'
+            elif single_type == 'float':
+                return 'NUMERIC'
+            elif single_type == 'str':
+                return 'TEXT'
+            elif single_type == 'datetime':
+                return 'TIMESTAMP'
+            elif single_type == 'ObjectId':
+                return 'TEXT'
+        
+        # Handle mixed types more conservatively
+        if 'array' in types or field_info.get('is_array', False):
+            return 'JSONB'  # Arrays always go to JSONB
+        elif 'object' in types:
+            return 'JSONB'  # Objects always go to JSONB
+        elif len(non_null_types) > 1:
+            # Multiple non-null types - check for common combinations
+            if set(non_null_types) <= {'int', 'float'}:
+                return 'NUMERIC'  # Can handle both int and float
+            elif set(non_null_types) <= {'bool', 'str'}:
+                return 'TEXT'  # Convert everything to text
+            elif set(non_null_types) <= {'str', 'ObjectId'}:
+                return 'TEXT'  # Both are string-like
+            else:
+                return 'JSONB'  # Complex mixed types go to JSONB
+        elif 'ObjectId' in types:
+            return 'TEXT'
+        elif 'datetime' in types:
+            return 'TIMESTAMP'
+        elif 'bool' in types:
+            return 'BOOLEAN'
+        elif 'int' in types:
+            return 'INTEGER'
+        elif 'float' in types:
+            return 'NUMERIC'
+        elif 'str' in types:
+            return 'TEXT'
+        else:
+            return 'TEXT'  # Default fallback
+    
+    def create_postgres_database(self, table_definitions: Dict[str, str]):
+        """Create PostgreSQL database and tables"""
+        print("Creating PostgreSQL database schema...")
+        
+        try:
+            # Connect to PostgreSQL
+            conn = psycopg2.connect(**self.postgres_config)
+            conn.autocommit = True
+            cursor = conn.cursor()
+            
+            # Create tables
+            for collection_name, table_sql in table_definitions.items():
+                print(f"Creating table for {collection_name}...")
+                cursor.execute(table_sql)
+            
+            cursor.close()
+            conn.close()
+            print("Database schema created successfully!")
+            
+        except Exception as e:
+            print(f"Error creating database schema: {e}")
+            raise
+    
+    def convert_and_insert_data(self, batch_size: int = 1000):
+        """Convert BSON data and insert into PostgreSQL"""
+        print("Converting and inserting data...")
+        
+        try:
+            conn = psycopg2.connect(**self.postgres_config)
+            conn.autocommit = False
+            
+            for collection_name in self.collections:
+                print(f"Processing {collection_name}...")
+                self._convert_collection(conn, collection_name, batch_size)
+            
+            conn.close()
+            print("Data conversion completed successfully!")
+            
+        except Exception as e:
+            print(f"Error converting data: {e}")
+            raise
+    
+    def _convert_collection(self, conn, collection_name: str, batch_size: int):
+        """Convert a single collection"""
+        bson_file = self.collections[collection_name]['bson_file']
+        
+        if bson_file.stat().st_size == 0:
+            print(f"  Skipping empty collection {collection_name}")
+            return
+            
+        table_name = self._sanitize_table_name(collection_name)
+        cursor = conn.cursor()
+        
+        batch = []
+        total_inserted = 0
+        errors = 0
+        
+        try:
+            with open(bson_file, 'rb') as f:
+                while True:
+                    try:
+                        doc_size = int.from_bytes(f.read(4), byteorder='little')
+                        if doc_size <= 0:
+                            break
+                        f.seek(-4, 1)
+                        doc_bytes = f.read(doc_size)
+                        if len(doc_bytes) != doc_size:
+                            break
+                            
+                        doc = bson.decode(doc_bytes)
+                        batch.append(doc)
+                        
+                        if len(batch) >= batch_size:
+                            inserted, batch_errors = self._insert_batch(cursor, table_name, batch, collection_name)
+                            total_inserted += inserted
+                            errors += batch_errors
+                            batch = []
+                            conn.commit()
+                            if total_inserted % 5000 == 0:  # Less frequent progress updates
+                                print(f"  Inserted {total_inserted} documents...")
+                            
+                    except (bson.InvalidBSON, struct.error, OSError):
+                        break
+                
+                # Insert remaining documents
+                if batch:
+                    inserted, batch_errors = self._insert_batch(cursor, table_name, batch, collection_name)
+                    total_inserted += inserted
+                    errors += batch_errors
+                    conn.commit()
+                    
+            if errors > 0:
+                print(f"  Completed {collection_name}: {total_inserted} documents inserted ({errors} errors)")
+            else:
+                print(f"  Completed {collection_name}: {total_inserted} documents inserted")
+            
+        except Exception as e:
+            print(f"  Error processing {collection_name}: {e}")
+            conn.rollback()
+        finally:
+            cursor.close()
+    
+    def _insert_batch(self, cursor, table_name: str, documents: List[Dict], collection_name: str):
+        """Insert a batch of documents with proper transaction handling"""
+        if not documents:
+            return 0, 0
+            
+        # Get schema info for this collection
+        schema = self.schema_info.get(collection_name, {})
+        
+        # Build column list
+        columns = ['mongo_id']
+        for field_name in schema.keys():
+            if field_name != '_id':
+                col_name = self._sanitize_column_name(field_name)
+                # Handle conflicts with PostgreSQL auto-generated columns
+                if col_name in ['id', 'mongo_id', 'created_at', 'updated_at']:
+                    col_name = f"field_{col_name}"
+                columns.append(col_name)
+        
+        # Build INSERT statement
+        placeholders = ', '.join(['%s'] * len(columns))
+        sql = f"INSERT INTO {table_name} ({', '.join(columns)}) VALUES ({placeholders})"
+        
+        self.log_debug(f"SQL: {sql}", collection_name)
+        
+        # Convert documents to tuples
+        rows = []
+        errors = 0
+        
+        for doc_idx, doc in enumerate(documents):
+            try:
+                row = []
+                
+                # Add mongo_id
+                row.append(str(doc.get('_id', '')))
+                
+                # Add other fields
+                for field_name in schema.keys():
+                    if field_name != '_id':
+                        try:
+                            value = self._get_nested_value(doc, field_name)
+                            converted_value = self._convert_value_for_postgres(value, field_name, schema)
+                            row.append(converted_value)
+                        except Exception as e:
+                            self.log_error(collection_name, 'field_conversion', 
+                                         f"Field '{field_name}' in doc {doc_idx}: {str(e)}")
+                            # Only show debug for collections we're focusing on
+                            if collection_name in self.debug_collections:
+                                print(f"    ⚠️  Error converting field '{field_name}': {e}")
+                            row.append(None)  # Use NULL for problematic fields
+                
+                rows.append(tuple(row))
+                
+            except Exception as e:
+                self.log_error(collection_name, 'document_conversion', f"Document {doc_idx}: {str(e)}")
+                errors += 1
+                continue
+        
+        # Execute batch insert
+        if rows:
+            try:
+                cursor.executemany(sql, rows)
+                return len(rows), errors
+            except Exception as batch_error:
+                self.log_error(collection_name, 'batch_insert', str(batch_error))
+                
+                # Only show detailed debugging for targeted collections
+                if collection_name in self.debug_collections:
+                    print(f"    🔴 Batch insert failed for {collection_name}: {batch_error}")
+                    print("    Trying individual inserts with rollback handling...")
+                
+                # Rollback the failed transaction
+                cursor.connection.rollback()
+                
+                # Try inserting one by one in individual transactions
+                success_count = 0
+                for row_idx, row in enumerate(rows):
+                    try:
+                        cursor.execute(sql, row)
+                        cursor.connection.commit()  # Commit each successful insert
+                        success_count += 1
+                    except Exception as row_error:
+                        cursor.connection.rollback()  # Rollback failed insert
+                        self.log_error(collection_name, 'row_insert', f"Row {row_idx}: {str(row_error)}")
+                        
+                        # Show detailed error only for the first few failures and only for targeted collections
+                        if collection_name in self.debug_collections and errors < 3:
+                            print(f"      Row {row_idx} failed: {row_error}")
+                            print(f"      Row data: {len(row)} values, expected {len(columns)} columns")
+                            
+                        errors += 1
+                        continue
+                return success_count, errors
+        
+        return 0, errors
+    
+    def _get_nested_value(self, doc: Dict, field_path: str):
+        """Get value from nested document using dot notation"""
+        keys = field_path.split('.')
+        value = doc
+        
+        for key in keys:
+            if isinstance(value, dict) and key in value:
+                value = value[key]
+            else:
+                return None
+                
+        return value
+    
+    def _convert_value_for_postgres(self, value, field_name: str = None, schema: Dict = None):
+        """Convert MongoDB value to PostgreSQL compatible value with schema-aware conversion"""
+        if value is None:
+            return None
+        
+        # Get the expected PostgreSQL type for this field if available
+        expected_type = None
+        if schema and field_name and field_name in schema:
+            field_info = schema[field_name]
+            expected_type = self._determine_postgres_type(field_info)
+        
+        # Handle conversion based on expected type
+        if expected_type == 'BOOLEAN':
+            if isinstance(value, bool):
+                return value
+            elif isinstance(value, str):
+                return value.lower() in ('true', '1', 'yes', 'on')
+            elif isinstance(value, (int, float)):
+                return bool(value)
+            else:
+                return None
+        elif expected_type == 'INTEGER':
+            if isinstance(value, int):
+                return value
+            elif isinstance(value, float):
+                return int(value)
+            elif isinstance(value, str) and value.isdigit():
+                return int(value)
+            elif isinstance(value, bool):
+                return int(value)
+            else:
+                return None
+        elif expected_type == 'NUMERIC':
+            if isinstance(value, (int, float)):
+                return value
+            elif isinstance(value, str):
+                try:
+                    return float(value)
+                except ValueError:
+                    return None
+            elif isinstance(value, bool):
+                return float(value)
+            else:
+                return None
+        elif expected_type == 'TEXT':
+            if isinstance(value, str):
+                return value
+            elif value is not None:
+                str_value = str(value)
+                # Handle very long strings
+                if len(str_value) > 65535:
+                    return str_value[:65535]
+                return str_value
+            else:
+                return None
+        elif expected_type == 'TIMESTAMP':
+            if hasattr(value, 'isoformat'):
+                return value.isoformat()
+            elif isinstance(value, str):
+                return value
+            else:
+                return str(value) if value is not None else None
+        elif expected_type == 'JSONB':
+            if isinstance(value, (dict, list)):
+                return json.dumps(value, default=self._json_serializer)
+            elif isinstance(value, str):
+                # Check if it's already valid JSON
+                try:
+                    json.loads(value)
+                    return value
+                except (json.JSONDecodeError, TypeError):
+                    # Not valid JSON, wrap it
+                    return json.dumps(value)
+            else:
+                return json.dumps(value, default=self._json_serializer)
+        
+        # Fallback to original logic if no expected type or type not recognized
+        if isinstance(value, bool):
+            return value
+        elif isinstance(value, (int, float)):
+            return value
+        elif isinstance(value, str):
+            return value
+        elif isinstance(value, (dict, list)):
+            return json.dumps(value, default=self._json_serializer)
+        elif hasattr(value, 'isoformat'):  # datetime
+            return value.isoformat()
+        elif hasattr(value, '__str__'):
+            str_value = str(value)
+            if len(str_value) > 65535:
+                return str_value[:65535]
+            return str_value
+        else:
+            return str(value)
+    
+    def _json_serializer(self, obj):
+        """Custom JSON serializer for complex objects with better error handling"""
+        try:
+            if hasattr(obj, 'isoformat'):  # datetime
+                return obj.isoformat()
+            elif hasattr(obj, '__str__'):
+                return str(obj)
+            else:
+                return None
+        except Exception as e:
+            self.log_debug(f"JSON serialization error: {e}")
+            return str(obj)
+    
+    def run_conversion(self, sample_size: int = 100, batch_size: int = 1000):
+        """Run the full conversion process with focused debugging"""
+        print("Starting MongoDB to PostgreSQL conversion...")
+        print("This will convert your Rocket.Chat database from MongoDB to PostgreSQL")
+        if self.debug_mode:
+            if self.debug_collections:
+                print(f"🐛 DEBUG MODE: Focusing on collections: {', '.join(self.debug_collections)}")
+            else:
+                print("🐛 DEBUG MODE: All collections")
+        print("=" * 70)
+        
+        # Step 1: Discover collections
+        self.discover_collections()
+        
+        # Step 2: Analyze schemas
+        print("\nAnalyzing collection schemas...")
+        for collection_name in self.collections:
+            self.analyze_schema(collection_name, sample_size)
+        
+        # Sample problematic collections if debugging
+        if self.debug_mode and self.debug_collections:
+            for coll in self.debug_collections:
+                if coll in self.collections:
+                    self.sample_documents(coll, 2)
+        
+        # Step 3: Generate PostgreSQL schema
+        table_definitions = self.generate_postgres_schema()
+        
+        # Step 4: Create database schema
+        self.create_postgres_database(table_definitions)
+        
+        # Step 5: Convert and insert data
+        self.convert_and_insert_data(batch_size)
+        
+        # Step 6: Show error summary
+        self._print_error_summary()
+        
+        print("=" * 70)
+        print("✅ Conversion completed!")
+        print(f"   Database: {self.postgres_config['database']}")
+        print(f"   Tables created: {len(table_definitions)}")
+        
+    def _print_error_summary(self):
+        """Print a focused summary of errors"""
+        if not self.error_log:
+            print("\n✅ No errors encountered during conversion!")
+            return
+            
+        print("\n⚠️  ERROR SUMMARY:")
+        print("=" * 50)
+        
+        # Sort by error count descending
+        sorted_collections = sorted(self.error_log.items(), 
+                                  key=lambda x: len(x[1]), reverse=True)
+        
+        for collection, errors in sorted_collections:
+            error_types = {}
+            for error in errors:
+                error_type = error['type']
+                if error_type not in error_types:
+                    error_types[error_type] = []
+                error_types[error_type].append(error['details'])
+            
+            print(f"\n🔴 {collection} ({len(errors)} total errors):")
+            for error_type, details_list in error_types.items():
+                print(f"   {error_type}: {len(details_list)} errors")
+                
+                # Show sample errors for critical collections
+                if collection in ['rocketchat_settings', 'rocketchat_room'] and len(details_list) > 0:
+                    print(f"     Sample: {details_list[0][:100]}...")
+
+def main():
+    parser = argparse.ArgumentParser(
+        description='Convert MongoDB BSON export to PostgreSQL',
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+        epilog="""
+Examples:
+  # Basic usage
+  python3 mongo_to_postgres_converter.py \\
+    --mongo-path db/database/62df06d44234d20001289144 \\
+    --pg-database rocketchat_converted \\
+    --pg-user rocketchat_user \\
+    --pg-password mypassword
+
+  # Debug specific failing collections
+  python3 mongo_to_postgres_converter.py \\
+    --mongo-path db/database/62df06d44234d20001289144 \\
+    --pg-database rocketchat_converted \\
+    --pg-user rocketchat_user \\
+    --pg-password mypassword \\
+    --debug-collections rocketchat_settings rocketchat_room
+
+Before running this script:
+1. Run: sudo -u postgres psql -f reset_database.sql
+2. Update the password in reset_database.sql
+        """
+    )
+    
+    parser.add_argument('--mongo-path', required=True, help='Path to MongoDB export directory')
+    parser.add_argument('--pg-host', default='localhost', help='PostgreSQL host (default: localhost)')
+    parser.add_argument('--pg-port', default='5432', help='PostgreSQL port (default: 5432)')
+    parser.add_argument('--pg-database', required=True, help='PostgreSQL database name')
+    parser.add_argument('--pg-user', required=True, help='PostgreSQL username')
+    parser.add_argument('--pg-password', required=True, help='PostgreSQL password')
+    parser.add_argument('--sample-size', type=int, default=100, help='Number of documents to sample for schema analysis (default: 100)')
+    parser.add_argument('--batch-size', type=int, default=1000, help='Batch size for data insertion (default: 1000)')
+    parser.add_argument('--debug', action='store_true', help='Enable debug mode with detailed error logging')
+    parser.add_argument('--debug-collections', nargs='*', help='Specific collections to debug (e.g., rocketchat_settings rocketchat_room)')
+    
+    args = parser.parse_args()
+    
+    postgres_config = {
+        'host': args.pg_host,
+        'port': args.pg_port,
+        'database': args.pg_database,
+        'user': args.pg_user,
+        'password': args.pg_password
+    }
+    
+    # Enable debug mode if debug collections are specified
+    debug_mode = args.debug or (args.debug_collections is not None)
+    
+    converter = MongoToPostgresConverter(args.mongo_path, postgres_config, debug_mode, args.debug_collections)
+    converter.run_conversion(args.sample_size, args.batch_size)
+
+
+if __name__ == '__main__':
+    main() 

inventory-server/chat/db-convert/reset_database.sql

@@ -0,0 +1,41 @@
+-- PostgreSQL Database Reset Script for Rocket.Chat Import
+-- Run as: sudo -u postgres psql -f reset_database.sql
+
+-- Terminate all connections to the database (force disconnect users)
+SELECT pg_terminate_backend(pid)
+FROM pg_stat_activity
+WHERE datname = 'rocketchat_converted' AND pid <> pg_backend_pid();
+
+-- Drop the database if it exists
+DROP DATABASE IF EXISTS rocketchat_converted;
+
+-- Create fresh database
+CREATE DATABASE rocketchat_converted;
+
+-- Create user (if not exists)
+DO $$ 
+BEGIN
+    IF NOT EXISTS (SELECT FROM pg_user WHERE usename = 'rocketchat_user') THEN
+        CREATE USER rocketchat_user WITH PASSWORD 'HKjLgt23gWuPXzEAn3rW';
+    END IF;
+END $$;
+
+-- Grant database privileges
+GRANT CONNECT ON DATABASE rocketchat_converted TO rocketchat_user;
+GRANT CREATE ON DATABASE rocketchat_converted TO rocketchat_user;
+
+-- Connect to the new database
+\c rocketchat_converted;
+
+-- Grant schema privileges
+GRANT CREATE ON SCHEMA public TO rocketchat_user;
+GRANT USAGE ON SCHEMA public TO rocketchat_user;
+
+-- Grant privileges on all future tables and sequences
+ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT SELECT, INSERT, UPDATE, DELETE ON TABLES TO rocketchat_user;
+ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT USAGE, SELECT ON SEQUENCES TO rocketchat_user;
+
+-- Display success message
+\echo 'Database reset completed successfully!'
+\echo 'You can now run the converter with:'
+\echo 'python3 mongo_to_postgres_converter.py --mongo-path db/database/62df06d44234d20001289144 --pg-database rocketchat_converted --pg-user rocketchat_user --pg-password your_password' 

inventory-server/chat/db-convert/test_converter.py

@@ -0,0 +1,54 @@
+#!/usr/bin/env python3
+"""
+Quick test script to verify the converter fixes work for problematic collections
+"""
+
+from mongo_to_postgres_converter import MongoToPostgresConverter
+
+def test_problematic_collections():
+    print("🧪 Testing converter fixes for problematic collections...")
+    
+    postgres_config = {
+        'host': 'localhost',
+        'port': '5432',
+        'database': 'rocketchat_test',
+        'user': 'rocketchat_user',
+        'password': 'password123'
+    }
+    
+    converter = MongoToPostgresConverter(
+        'db/database/62df06d44234d20001289144',
+        postgres_config,
+        debug_mode=True,
+        debug_collections=['rocketchat_settings', 'rocketchat_room']
+    )
+    
+    # Test just discovery and schema analysis
+    print("\n1. Testing collection discovery...")
+    converter.discover_collections()
+    
+    print("\n2. Testing schema analysis...")
+    if 'rocketchat_settings' in converter.collections:
+        settings_schema = converter.analyze_schema('rocketchat_settings', 10)
+        print(f"Settings schema fields: {len(settings_schema)}")
+        
+        # Check specific problematic fields
+        if 'packageValue' in settings_schema:
+            packagevalue_info = settings_schema['packageValue']
+            pg_type = converter._determine_postgres_type(packagevalue_info)
+            print(f"packageValue types: {packagevalue_info['types']} -> PostgreSQL: {pg_type}")
+            
+    if 'rocketchat_room' in converter.collections:
+        room_schema = converter.analyze_schema('rocketchat_room', 10)
+        print(f"Room schema fields: {len(room_schema)}")
+        
+        # Check specific problematic fields
+        if 'sysMes' in room_schema:
+            sysmes_info = room_schema['sysMes']
+            pg_type = converter._determine_postgres_type(sysmes_info)
+            print(f"sysMes types: {sysmes_info['types']} -> PostgreSQL: {pg_type}")
+    
+    print("\n✅ Test completed - check the type mappings above!")
+
+if __name__ == '__main__':
+    test_problematic_collections() 

inventory-server/chat/export-chat-data.sh

@@ -0,0 +1,147 @@
+#!/bin/bash
+
+# Chat Database Export Script
+# This script exports the chat database schema and data for migration
+
+set -e  # Exit on any error
+
+echo "🚀 Starting chat database export..."
+
+# Configuration - Update these values for your setup
+DB_HOST="${CHAT_DB_HOST:-localhost}"
+DB_PORT="${CHAT_DB_PORT:-5432}"
+DB_NAME="${CHAT_DB_NAME:-rocketchat_converted}"
+DB_USER="${CHAT_DB_USER:-rocketchat_user}"
+
+# Check if database connection info is available
+if [ -z "$CHAT_DB_PASSWORD" ]; then
+    echo "⚠️  CHAT_DB_PASSWORD environment variable not set"
+    echo "Please set it with: export CHAT_DB_PASSWORD='your_password'"
+    exit 1
+fi
+
+echo "📊 Database: $DB_NAME on $DB_HOST:$DB_PORT"
+
+# Create export directory
+EXPORT_DIR="chat-migration-$(date +%Y%m%d-%H%M%S)"
+mkdir -p "$EXPORT_DIR"
+
+echo "📁 Export directory: $EXPORT_DIR"
+
+# Export database schema
+echo "📋 Exporting database schema..."
+PGPASSWORD="$CHAT_DB_PASSWORD" pg_dump \
+    -h "$DB_HOST" \
+    -p "$DB_PORT" \
+    -U "$DB_USER" \
+    -d "$DB_NAME" \
+    --schema-only \
+    --no-owner \
+    --no-privileges \
+    -f "$EXPORT_DIR/chat-schema.sql"
+
+if [ $? -eq 0 ]; then
+    echo "✅ Schema exported successfully"
+else
+    echo "❌ Schema export failed"
+    exit 1
+fi
+
+# Export database data
+echo "💾 Exporting database data..."
+PGPASSWORD="$CHAT_DB_PASSWORD" pg_dump \
+    -h "$DB_HOST" \
+    -p "$DB_PORT" \
+    -U "$DB_USER" \
+    -d "$DB_NAME" \
+    --data-only \
+    --no-owner \
+    --no-privileges \
+    --disable-triggers \
+    --column-inserts \
+    -f "$EXPORT_DIR/chat-data.sql"
+
+if [ $? -eq 0 ]; then
+    echo "✅ Data exported successfully"
+else
+    echo "❌ Data export failed"
+    exit 1
+fi
+
+# Export file uploads and avatars
+echo "📎 Exporting chat files (uploads and avatars)..."
+if [ -d "db-convert/db/files" ]; then
+    cd db-convert/db
+    tar -czf "../../$EXPORT_DIR/chat-files.tar.gz" files/
+    cd ../..
+    echo "✅ Files exported successfully"
+else
+    echo "⚠️  No files directory found at db-convert/db/files"
+    echo "   This is normal if you have no file uploads"
+    touch "$EXPORT_DIR/chat-files.tar.gz"
+fi
+
+# Get table statistics for verification
+echo "📈 Generating export statistics..."
+PGPASSWORD="$CHAT_DB_PASSWORD" psql \
+    -h "$DB_HOST" \
+    -p "$DB_PORT" \
+    -U "$DB_USER" \
+    -d "$DB_NAME" \
+    -c "
+    SELECT 
+        schemaname,
+        tablename, 
+        n_tup_ins as inserted_rows,
+        n_tup_upd as updated_rows,
+        n_tup_del as deleted_rows,
+        n_live_tup as live_rows,
+        n_dead_tup as dead_rows
+    FROM pg_stat_user_tables 
+    ORDER BY n_live_tup DESC;
+    " > "$EXPORT_DIR/table-stats.txt"
+
+# Create export summary
+cat > "$EXPORT_DIR/export-summary.txt" << EOF
+Chat Database Export Summary
+===========================
+
+Export Date: $(date)
+Database: $DB_NAME
+Host: $DB_HOST:$DB_PORT
+User: $DB_USER
+
+Files Generated:
+- chat-schema.sql: Database schema (tables, indexes, constraints)
+- chat-data.sql: All table data
+- chat-files.tar.gz: Uploaded files and avatars
+- table-stats.txt: Database statistics
+- export-summary.txt: This summary
+
+Next Steps:
+1. Transfer these files to your new server
+2. Run create-new-database.sql on the new server first
+3. Run import-chat-data.sh on the new server
+4. Update your application configuration
+5. Run verify-migration.js to validate the migration
+
+Important Notes:
+- Keep these files secure as they contain your chat data
+- Ensure the new server has enough disk space
+- Plan for application downtime during the migration
+EOF
+
+echo ""
+echo "🎉 Export completed successfully!"
+echo "📁 Files are in: $EXPORT_DIR/"
+echo ""
+echo "📋 Export Summary:"
+ls -lh "$EXPORT_DIR/"
+echo ""
+echo "🚚 Next steps:"
+echo "1. Transfer the $EXPORT_DIR/ directory to your new server"
+echo "2. Run create-new-database.sql on the new server (update password first!)"
+echo "3. Run import-chat-data.sh on the new server"
+echo ""
+echo "💡 To transfer files to new server:"
+echo "   scp -r $EXPORT_DIR/ user@new-server:/tmp/"

inventory-server/chat/import-chat-data.sh

@@ -0,0 +1,167 @@
+#!/bin/bash
+
+# Chat Database Import Script
+# This script imports the chat database schema and data on the new server
+
+set -e  # Exit on any error
+
+echo "🚀 Starting chat database import..."
+
+# Configuration - Update these values for your new server
+DB_HOST="${CHAT_DB_HOST:-localhost}"
+DB_PORT="${CHAT_DB_PORT:-5432}"
+DB_NAME="${CHAT_DB_NAME:-rocketchat_converted}"
+DB_USER="${CHAT_DB_USER:-rocketchat_user}"
+
+# Check if database connection info is available
+if [ -z "$CHAT_DB_PASSWORD" ]; then
+    echo "⚠️  CHAT_DB_PASSWORD environment variable not set"
+    echo "Please set it with: export CHAT_DB_PASSWORD='your_password'"
+    exit 1
+fi
+
+# Find the migration directory
+MIGRATION_DIR=""
+if [ -d "/tmp" ]; then
+    MIGRATION_DIR=$(find /tmp -maxdepth 1 -name "chat-migration-*" -type d | head -1)
+fi
+
+if [ -z "$MIGRATION_DIR" ]; then
+    echo "❌ No migration directory found in /tmp/"
+    echo "Please specify the migration directory:"
+    read -p "Enter full path to migration directory: " MIGRATION_DIR
+fi
+
+if [ ! -d "$MIGRATION_DIR" ]; then
+    echo "❌ Migration directory not found: $MIGRATION_DIR"
+    exit 1
+fi
+
+echo "📁 Using migration directory: $MIGRATION_DIR"
+echo "📊 Target database: $DB_NAME on $DB_HOST:$DB_PORT"
+
+# Verify required files exist
+REQUIRED_FILES=("chat-schema.sql" "chat-data.sql" "chat-files.tar.gz")
+for file in "${REQUIRED_FILES[@]}"; do
+    if [ ! -f "$MIGRATION_DIR/$file" ]; then
+        echo "❌ Required file not found: $MIGRATION_DIR/$file"
+        exit 1
+    fi
+done
+
+echo "✅ All required files found"
+
+# Test database connection
+echo "🔗 Testing database connection..."
+PGPASSWORD="$CHAT_DB_PASSWORD" psql \
+    -h "$DB_HOST" \
+    -p "$DB_PORT" \
+    -U "$DB_USER" \
+    -d "$DB_NAME" \
+    -c "SELECT version();" > /dev/null
+
+if [ $? -eq 0 ]; then
+    echo "✅ Database connection successful"
+else
+    echo "❌ Database connection failed"
+    echo "Please ensure:"
+    echo "  1. PostgreSQL is running"
+    echo "  2. Database '$DB_NAME' exists"
+    echo "  3. User '$DB_USER' has access"
+    echo "  4. Password is correct"
+    exit 1
+fi
+
+# Import database schema
+echo "📋 Importing database schema..."
+PGPASSWORD="$CHAT_DB_PASSWORD" psql \
+    -h "$DB_HOST" \
+    -p "$DB_PORT" \
+    -U "$DB_USER" \
+    -d "$DB_NAME" \
+    -f "$MIGRATION_DIR/chat-schema.sql"
+
+if [ $? -eq 0 ]; then
+    echo "✅ Schema imported successfully"
+else
+    echo "❌ Schema import failed"
+    exit 1
+fi
+
+# Import database data
+echo "💾 Importing database data..."
+echo "   This may take a while depending on data size..."
+
+PGPASSWORD="$CHAT_DB_PASSWORD" psql \
+    -h "$DB_HOST" \
+    -p "$DB_PORT" \
+    -U "$DB_USER" \
+    -d "$DB_NAME" \
+    -f "$MIGRATION_DIR/chat-data.sql"
+
+if [ $? -eq 0 ]; then
+    echo "✅ Data imported successfully"
+else
+    echo "❌ Data import failed"
+    echo "Check the error messages above for details"
+    exit 1
+fi
+
+# Create files directory and import files
+echo "📎 Setting up files directory..."
+mkdir -p "db-convert/db"
+
+if [ -s "$MIGRATION_DIR/chat-files.tar.gz" ]; then
+    echo "📂 Extracting chat files..."
+    cd db-convert/db
+    tar -xzf "$MIGRATION_DIR/chat-files.tar.gz"
+    cd ../..
+    
+    # Set proper permissions
+    if [ -d "db-convert/db/files" ]; then
+        chmod -R 755 db-convert/db/files
+        echo "✅ Files imported and permissions set"
+    else
+        echo "⚠️  Files directory not created properly"
+    fi
+else
+    echo "ℹ️  No files to import (empty archive)"
+    mkdir -p "db-convert/db/files/uploads"
+    mkdir -p "db-convert/db/files/avatars"
+fi
+
+# Get final table statistics
+echo "📈 Generating import statistics..."
+PGPASSWORD="$CHAT_DB_PASSWORD" psql \
+    -h "$DB_HOST" \
+    -p "$DB_PORT" \
+    -U "$DB_USER" \
+    -d "$DB_NAME" \
+    -c "
+    SELECT 
+        tablename,
+        n_live_tup as row_count
+    FROM pg_stat_user_tables 
+    WHERE schemaname = 'public'
+    ORDER BY n_live_tup DESC;
+    "
+
+# Create import summary
+echo ""
+echo "🎉 Import completed successfully!"
+echo ""
+echo "📋 Import Summary:"
+echo "  Database: $DB_NAME"
+echo "  Host: $DB_HOST:$DB_PORT"
+echo "  Files location: $(pwd)/db-convert/db/files/"
+echo ""
+echo "🔍 Next steps:"
+echo "1. Update your application configuration to use this database"
+echo "2. Run verify-migration.js to validate the migration"
+echo "3. Test your application thoroughly"
+echo "4. Update DNS/load balancer to point to new server"
+echo ""
+echo "⚠️  Important:"
+echo "- Keep the original data as backup until migration is fully validated"
+echo "- Monitor the application closely after switching"
+echo "- Have a rollback plan ready"

inventory-server/chat/migrate-to-new-server.md

@@ -0,0 +1,86 @@
+# Chat Database Migration Guide
+
+This guide will help you migrate your chat database from the current server to a new PostgreSQL server.
+
+## Overview
+Your chat system uses:
+- Database: `rocketchat_converted` (PostgreSQL)
+- Main tables: users, message, room, uploads, avatars, subscription
+- File storage: db-convert/db/files/ directory with uploads and avatars
+- Environment configuration for database connection
+
+## Migration Steps
+
+### 1. Pre-Migration Setup
+
+On your **new server**, ensure PostgreSQL is installed and running:
+```bash
+# Install PostgreSQL (if not already done)
+sudo apt update
+sudo apt install postgresql postgresql-contrib
+
+# Start PostgreSQL service
+sudo systemctl start postgresql
+sudo systemctl enable postgresql
+```
+
+### 2. Create Database Schema on New Server
+
+Run the provided migration script:
+```bash
+# On new server
+sudo -u postgres psql -f create-new-database.sql
+```
+
+### 3. Export Data from Current Server
+
+Run the export script:
+```bash
+# On current server
+./export-chat-data.sh
+```
+
+This will create:
+- `chat-schema.sql` - Database schema
+- `chat-data.sql` - All table data
+- `chat-files.tar.gz` - All uploaded files and avatars
+
+### 4. Transfer Data to New Server
+
+```bash
+# Copy files to new server
+scp chat-schema.sql chat-data.sql chat-files.tar.gz user@new-server:/tmp/
+```
+
+### 5. Import Data on New Server
+
+```bash
+# On new server
+./import-chat-data.sh
+```
+
+### 6. Update Configuration
+
+Update your environment variables to point to the new database server.
+
+### 7. Verify Migration
+
+Run the verification script to ensure everything transferred correctly:
+```bash
+node verify-migration.js
+```
+
+## Files Provided
+
+1. `create-new-database.sql` - Creates database and user on new server
+2. `export-chat-data.sh` - Exports data from current server
+3. `import-chat-data.sh` - Imports data to new server  
+4. `verify-migration.js` - Verifies data integrity
+5. `update-config-template.env` - Template for new configuration
+
+## Important Notes
+
+- **Backup first**: Always backup your current database before migration
+- **Downtime**: Plan for application downtime during migration
+- **File permissions**: Ensure file permissions are preserved during transfer
+- **Network access**: Ensure new server can accept connections from your application

inventory-server/chat/package.json

@@ -0,0 +1,20 @@
+{
+  "name": "chat-server",
+  "version": "1.0.0",
+  "description": "Chat archive server for Rocket.Chat data",
+  "main": "server.js",
+  "scripts": {
+    "start": "node server.js",
+    "dev": "nodemon server.js"
+  },
+  "dependencies": {
+    "express": "^4.18.2",
+    "cors": "^2.8.5",
+    "pg": "^8.11.0",
+    "dotenv": "^16.0.3",
+    "morgan": "^1.10.0"
+  },
+  "devDependencies": {
+    "nodemon": "^2.0.22"
+  }
+} 

inventory-server/chat/routes.js

@@ -0,0 +1,649 @@
+const express = require('express');
+const path = require('path');
+const router = express.Router();
+
+// Serve uploaded files with proper mapping from database paths to actual file locations
+router.get('/files/uploads/*', async (req, res) => {
+  try {
+    // Extract the path from the URL (everything after /files/uploads/)
+    const requestPath = req.params[0];
+    
+    // The URL path will be like: ufs/AmazonS3:Uploads/274Mf9CyHNG72oF86/filename.jpg
+    // We need to extract the mongo_id (274Mf9CyHNG72oF86) from this path
+    const pathParts = requestPath.split('/');
+    let mongoId = null;
+    
+    // Find the mongo_id in the path structure
+    for (let i = 0; i < pathParts.length; i++) {
+      if (pathParts[i].includes('AmazonS3:Uploads') && i + 1 < pathParts.length) {
+        mongoId = pathParts[i + 1];
+        break;
+      }
+      // Sometimes the mongo_id might be the last part of ufs/AmazonS3:Uploads/mongoId
+      if (pathParts[i] === 'AmazonS3:Uploads' && i + 1 < pathParts.length) {
+        mongoId = pathParts[i + 1];
+        break;
+      }
+    }
+    
+    if (!mongoId) {
+      // Try to get mongo_id from database by matching the full path
+      const result = await global.pool.query(`
+        SELECT mongo_id, name, type 
+        FROM uploads 
+        WHERE path = $1 OR url = $1
+        LIMIT 1
+      `, [`/ufs/AmazonS3:Uploads/${requestPath}`, `/ufs/AmazonS3:Uploads/${requestPath}`]);
+      
+      if (result.rows.length > 0) {
+        mongoId = result.rows[0].mongo_id;
+      }
+    }
+    
+    if (!mongoId) {
+      return res.status(404).json({ error: 'File not found' });
+    }
+    
+    // The actual file is stored with just the mongo_id as filename
+    const filePath = path.join(__dirname, 'db-convert/db/files/uploads', mongoId);
+    
+    // Get file info from database for proper content-type
+    const fileInfo = await global.pool.query(`
+      SELECT name, type 
+      FROM uploads 
+      WHERE mongo_id = $1
+      LIMIT 1
+    `, [mongoId]);
+    
+    if (fileInfo.rows.length === 0) {
+      return res.status(404).json({ error: 'File metadata not found' });
+    }
+    
+    const { name, type } = fileInfo.rows[0];
+    
+    // Set proper content type
+    if (type) {
+      res.set('Content-Type', type);
+    }
+    
+    // Set content disposition with original filename
+    if (name) {
+      res.set('Content-Disposition', `inline; filename="${name}"`);
+    }
+    
+    // Send the file
+    res.sendFile(filePath, (err) => {
+      if (err) {
+        console.error('Error serving file:', err);
+        if (!res.headersSent) {
+          res.status(404).json({ error: 'File not found on disk' });
+        }
+      }
+    });
+    
+  } catch (error) {
+    console.error('Error serving upload:', error);
+    res.status(500).json({ error: 'Server error' });
+  }
+});
+
+// Also serve files directly by mongo_id for simpler access
+router.get('/files/by-id/:mongoId', async (req, res) => {
+  try {
+    const { mongoId } = req.params;
+    
+    // Get file info from database
+    const fileInfo = await global.pool.query(`
+      SELECT name, type 
+      FROM uploads 
+      WHERE mongo_id = $1
+      LIMIT 1
+    `, [mongoId]);
+    
+    if (fileInfo.rows.length === 0) {
+      return res.status(404).json({ error: 'File not found' });
+    }
+    
+    const { name, type } = fileInfo.rows[0];
+    const filePath = path.join(__dirname, 'db-convert/db/files/uploads', mongoId);
+    
+    // Set proper content type and filename
+    if (type) {
+      res.set('Content-Type', type);
+    }
+    
+    if (name) {
+      res.set('Content-Disposition', `inline; filename="${name}"`);
+    }
+    
+    // Send the file
+    res.sendFile(filePath, (err) => {
+      if (err) {
+        console.error('Error serving file:', err);
+        if (!res.headersSent) {
+          res.status(404).json({ error: 'File not found on disk' });
+        }
+      }
+    });
+    
+  } catch (error) {
+    console.error('Error serving upload by ID:', error);
+    res.status(500).json({ error: 'Server error' });
+  }
+});
+
+// Serve user avatars by mongo_id
+router.get('/avatar/:mongoId', async (req, res) => {
+  try {
+    const { mongoId } = req.params;
+    
+    console.log(`[Avatar Debug] Looking up avatar for user mongo_id: ${mongoId}`);
+    
+    // First try to find avatar by user's avataretag
+    const userResult = await global.pool.query(`
+      SELECT avataretag, username FROM users WHERE mongo_id = $1
+    `, [mongoId]);
+    
+    let avatarPath = null;
+    
+    if (userResult.rows.length > 0) {
+      const username = userResult.rows[0].username;
+      const avataretag = userResult.rows[0].avataretag;
+      
+      // Try method 1: Look up by avataretag -> etag (for users with avataretag set)
+      if (avataretag) {
+        console.log(`[Avatar Debug] Found user ${username} with avataretag: ${avataretag}`);
+        
+        const avatarResult = await global.pool.query(`
+          SELECT url, path FROM avatars WHERE etag = $1
+        `, [avataretag]);
+        
+        if (avatarResult.rows.length > 0) {
+          const dbPath = avatarResult.rows[0].path || avatarResult.rows[0].url;
+          console.log(`[Avatar Debug] Found avatar record with path: ${dbPath}`);
+          
+          if (dbPath) {
+            const pathParts = dbPath.split('/');
+            for (let i = 0; i < pathParts.length; i++) {
+              if (pathParts[i].includes('AmazonS3:Avatars') && i + 1 < pathParts.length) {
+                const avatarMongoId = pathParts[i + 1];
+                avatarPath = path.join(__dirname, 'db-convert/db/files/avatars', avatarMongoId);
+                console.log(`[Avatar Debug] Extracted avatar mongo_id: ${avatarMongoId}, full path: ${avatarPath}`);
+                break;
+              }
+            }
+          }
+        } else {
+          console.log(`[Avatar Debug] No avatar record found for etag: ${avataretag}`);
+        }
+      }
+      
+      // Try method 2: Look up by userid directly (for users without avataretag)
+      if (!avatarPath) {
+        console.log(`[Avatar Debug] Trying direct userid lookup for user ${username} (${mongoId})`);
+        
+        const avatarResult = await global.pool.query(`
+          SELECT url, path FROM avatars WHERE userid = $1
+        `, [mongoId]);
+        
+        if (avatarResult.rows.length > 0) {
+          const dbPath = avatarResult.rows[0].path || avatarResult.rows[0].url;
+          console.log(`[Avatar Debug] Found avatar record by userid with path: ${dbPath}`);
+          
+          if (dbPath) {
+            const pathParts = dbPath.split('/');
+            for (let i = 0; i < pathParts.length; i++) {
+              if (pathParts[i].includes('AmazonS3:Avatars') && i + 1 < pathParts.length) {
+                const avatarMongoId = pathParts[i + 1];
+                avatarPath = path.join(__dirname, 'db-convert/db/files/avatars', avatarMongoId);
+                console.log(`[Avatar Debug] Extracted avatar mongo_id: ${avatarMongoId}, full path: ${avatarPath}`);
+                break;
+              }
+            }
+          }
+        } else {
+          console.log(`[Avatar Debug] No avatar record found for userid: ${mongoId}`);
+        }
+      }
+    } else {
+      console.log(`[Avatar Debug] No user found for mongo_id: ${mongoId}`);
+    }
+    
+    // Fallback: try direct lookup by user mongo_id
+    if (!avatarPath) {
+      avatarPath = path.join(__dirname, 'db-convert/db/files/avatars', mongoId);
+      console.log(`[Avatar Debug] Using fallback path: ${avatarPath}`);
+    }
+    
+    // Set proper content type for images
+    res.set('Content-Type', 'image/jpeg'); // Most avatars are likely JPEG
+    
+    // Send the file
+    res.sendFile(avatarPath, (err) => {
+      if (err) {
+        // If avatar doesn't exist, send a default 404 or generate initials
+        console.log(`[Avatar Debug] Avatar file not found at path: ${avatarPath}, error:`, err.message);
+        if (!res.headersSent) {
+          res.status(404).json({ error: 'Avatar not found' });
+        }
+      } else {
+        console.log(`[Avatar Debug] Successfully served avatar from: ${avatarPath}`);
+      }
+    });
+    
+  } catch (error) {
+    console.error('Error serving avatar:', error);
+    res.status(500).json({ error: 'Server error' });
+  }
+});
+
+// Serve avatars statically as fallback
+router.use('/files/avatars', express.static(path.join(__dirname, 'db-convert/db/files/avatars')));
+
+// Get all users for the "view as" dropdown (active and inactive)
+router.get('/users', async (req, res) => {
+  try {
+    const result = await global.pool.query(`
+      SELECT id, username, name, type, active, status, lastlogin, 
+             statustext, utcoffset, statusconnection, mongo_id, avataretag
+      FROM users 
+      WHERE type = 'user'
+      ORDER BY 
+        active DESC,  -- Active users first
+        CASE 
+          WHEN status = 'online' THEN 1
+          WHEN status = 'away' THEN 2  
+          WHEN status = 'busy' THEN 3
+          ELSE 4
+        END,
+        name ASC
+    `);
+    
+    res.json({
+      status: 'success',
+      users: result.rows
+    });
+  } catch (error) {
+    console.error('Error fetching users:', error);
+    res.status(500).json({ 
+      status: 'error',
+      error: 'Failed to fetch users',
+      details: error.message
+    });
+  }
+});
+
+// Get rooms for a specific user with enhanced room names for direct messages
+router.get('/users/:userId/rooms', async (req, res) => {
+  const { userId } = req.params;
+  
+  try {
+    // Get the current user's mongo_id for filtering
+    const userResult = await global.pool.query(`
+      SELECT mongo_id, username FROM users WHERE id = $1
+    `, [userId]);
+    
+    if (userResult.rows.length === 0) {
+      return res.status(404).json({
+        status: 'error',
+        error: 'User not found'
+      });
+    }
+    
+    const currentUserMongoId = userResult.rows[0].mongo_id;
+    const currentUsername = userResult.rows[0].username;
+    
+    // Get rooms where the user is a member with proper naming from subscription table
+    // Include archived and closed rooms but sort them at the bottom
+    const result = await global.pool.query(`
+      SELECT DISTINCT 
+        r.id, 
+        r.mongo_id as room_mongo_id, 
+        r.name, 
+        r.fname, 
+        r.t as type, 
+        r.msgs, 
+        r.lm as last_message_date, 
+        r.usernames, 
+        r.uids,
+        r.userscount,
+        r.description,
+        r.teamid,
+        r.archived,
+        s.open,
+        -- Use the subscription's name for direct messages (excludes current user)
+        -- For channels/groups, use room's fname or name
+        CASE 
+          WHEN r.t = 'd' THEN COALESCE(s.fname, s.name, 'Unknown User')
+          ELSE COALESCE(r.fname, r.name, 'Unnamed Room')
+        END as display_name
+      FROM room r
+      JOIN subscription s ON s.rid = r.mongo_id 
+      WHERE s.u->>'_id' = $1
+      ORDER BY 
+        s.open DESC NULLS LAST,  -- Open rooms first
+        r.archived NULLS FIRST,  -- Non-archived first (nulls treated as false)
+        r.lm DESC NULLS LAST
+      LIMIT 50
+    `, [currentUserMongoId]);
+
+    // Enhance rooms with participant information for direct messages
+    const enhancedRooms = await Promise.all(result.rows.map(async (room) => {
+      if (room.type === 'd' && room.uids) {
+        // Get participant info (excluding current user) for direct messages
+        const participantResult = await global.pool.query(`
+          SELECT u.username, u.name, u.mongo_id, u.avataretag
+          FROM users u 
+          WHERE u.mongo_id = ANY($1::text[])
+          AND u.mongo_id != $2
+        `, [room.uids, currentUserMongoId]);
+        
+        room.participants = participantResult.rows;
+      }
+      return room;
+    }));
+    
+    res.json({
+      status: 'success',
+      rooms: enhancedRooms
+    });
+  } catch (error) {
+    console.error('Error fetching user rooms:', error);
+    res.status(500).json({ 
+      status: 'error',
+      error: 'Failed to fetch user rooms',
+      details: error.message
+    });
+  }
+});
+
+// Get room details including participants
+router.get('/rooms/:roomId', async (req, res) => {
+  const { roomId } = req.params;
+  const { userId } = req.query; // Accept current user ID as query parameter
+  
+  try {
+    const result = await global.pool.query(`
+      SELECT r.id, r.name, r.fname, r.t as type, r.msgs, r.description,
+             r.lm as last_message_date, r.usernames, r.uids, r.userscount, r.teamid
+      FROM room r
+      WHERE r.id = $1
+    `, [roomId]);
+    
+    if (result.rows.length === 0) {
+      return res.status(404).json({
+        status: 'error',
+        error: 'Room not found'
+      });
+    }
+    
+    const room = result.rows[0];
+    
+    // For direct messages, get the proper display name based on current user
+    if (room.type === 'd' && room.uids && userId) {
+      // Get current user's mongo_id
+      const userResult = await global.pool.query(`
+        SELECT mongo_id FROM users WHERE id = $1
+      `, [userId]);
+      
+      if (userResult.rows.length > 0) {
+        const currentUserMongoId = userResult.rows[0].mongo_id;
+        
+        // Get display name from subscription table for this user
+        // Use room mongo_id to match with subscription.rid
+        const roomMongoResult = await global.pool.query(`
+          SELECT mongo_id FROM room WHERE id = $1
+        `, [roomId]);
+        
+        if (roomMongoResult.rows.length > 0) {
+          const roomMongoId = roomMongoResult.rows[0].mongo_id;
+          
+          const subscriptionResult = await global.pool.query(`
+            SELECT fname, name FROM subscription 
+            WHERE rid = $1 AND u->>'_id' = $2
+          `, [roomMongoId, currentUserMongoId]);
+          
+          if (subscriptionResult.rows.length > 0) {
+            const sub = subscriptionResult.rows[0];
+            room.display_name = sub.fname || sub.name || 'Unknown User';
+          }
+        }
+      }
+      
+      // Get all participants for additional info
+      const participantResult = await global.pool.query(`
+        SELECT username, name
+        FROM users 
+        WHERE mongo_id = ANY($1::text[])
+      `, [room.uids]);
+      
+      room.participants = participantResult.rows;
+    } else {
+      // For channels/groups, use room's fname or name
+      room.display_name = room.fname || room.name || 'Unnamed Room';
+    }
+    
+    res.json({
+      status: 'success',
+      room: room
+    });
+  } catch (error) {
+    console.error('Error fetching room details:', error);
+    res.status(500).json({ 
+      status: 'error',
+      error: 'Failed to fetch room details',
+      details: error.message
+    });
+  }
+});
+
+// Get messages for a specific room (fast, without attachments)
+router.get('/rooms/:roomId/messages', async (req, res) => {
+  const { roomId } = req.params;
+  const { limit = 50, offset = 0, before } = req.query;
+  
+  try {
+    // Fast query - just get messages without expensive attachment joins
+    let query = `
+      SELECT m.id, m.msg, m.ts, m.u, m._updatedat, m.urls, m.mentions, m.md
+      FROM message m
+      JOIN room r ON m.rid = r.mongo_id
+      WHERE r.id = $1
+    `;
+    
+    const params = [roomId];
+    
+    if (before) {
+      query += ` AND m.ts < $${params.length + 1}`;
+      params.push(before);
+    }
+    
+    query += ` ORDER BY m.ts DESC LIMIT $${params.length + 1} OFFSET $${params.length + 2}`;
+    params.push(limit, offset);
+    
+    const result = await global.pool.query(query, params);
+    
+    // Add empty attachments array for now - attachments will be loaded separately if needed
+    const messages = result.rows.map(msg => ({
+      ...msg,
+      attachments: []
+    }));
+    
+    res.json({
+      status: 'success',
+      messages: messages.reverse() // Reverse to show oldest first
+    });
+  } catch (error) {
+    console.error('Error fetching messages:', error);
+    res.status(500).json({ 
+      status: 'error',
+      error: 'Failed to fetch messages',
+      details: error.message
+    });
+  }
+});
+
+// Get attachments for specific messages (called separately for performance)
+router.post('/messages/attachments', async (req, res) => {
+  const { messageIds } = req.body;
+  
+  if (!messageIds || !Array.isArray(messageIds) || messageIds.length === 0) {
+    return res.json({ status: 'success', attachments: {} });
+  }
+  
+  try {
+    // Get room mongo_id from first message to limit search scope
+    const roomQuery = await global.pool.query(`
+      SELECT r.mongo_id as room_mongo_id
+      FROM message m
+      JOIN room r ON m.rid = r.mongo_id
+      WHERE m.id = $1
+      LIMIT 1
+    `, [messageIds[0]]);
+    
+    if (roomQuery.rows.length === 0) {
+      return res.json({ status: 'success', attachments: {} });
+    }
+    
+    const roomMongoId = roomQuery.rows[0].room_mongo_id;
+    
+    // Get messages and their upload timestamps
+    const messagesQuery = await global.pool.query(`
+      SELECT m.id, m.ts, m.u->>'_id' as user_id
+      FROM message m
+      WHERE m.id = ANY($1::int[])
+    `, [messageIds]);
+    
+    if (messagesQuery.rows.length === 0) {
+      return res.json({ status: 'success', attachments: {} });
+    }
+    
+    // Build a map of user_id -> array of message timestamps for efficient lookup
+    const userTimeMap = {};
+    const messageMap = {};
+    messagesQuery.rows.forEach(msg => {
+      if (!userTimeMap[msg.user_id]) {
+        userTimeMap[msg.user_id] = [];
+      }
+      userTimeMap[msg.user_id].push(msg.ts);
+      messageMap[msg.id] = { ts: msg.ts, user_id: msg.user_id };
+    });
+    
+    // Get attachments for this room and these users
+    const uploadsQuery = await global.pool.query(`
+      SELECT mongo_id, name, size, type, url, path, typegroup, identify, 
+             userid, uploadedat
+      FROM uploads 
+      WHERE rid = $1 
+      AND userid = ANY($2::text[])
+      ORDER BY uploadedat
+    `, [roomMongoId, Object.keys(userTimeMap)]);
+    
+    // Match attachments to messages based on timestamp proximity (within 5 minutes)
+    const attachmentsByMessage = {};
+    
+    uploadsQuery.rows.forEach(upload => {
+      const uploadTime = new Date(upload.uploadedat).getTime();
+      
+      // Find the closest message from this user within 5 minutes
+      let closestMessageId = null;
+      let closestTimeDiff = Infinity;
+      
+      Object.entries(messageMap).forEach(([msgId, msgData]) => {
+        if (msgData.user_id === upload.userid) {
+          const msgTime = new Date(msgData.ts).getTime();
+          const timeDiff = Math.abs(uploadTime - msgTime);
+          
+          if (timeDiff < 300000 && timeDiff < closestTimeDiff) { // 5 minutes = 300000ms
+            closestMessageId = msgId;
+            closestTimeDiff = timeDiff;
+          }
+        }
+      });
+      
+      if (closestMessageId) {
+        if (!attachmentsByMessage[closestMessageId]) {
+          attachmentsByMessage[closestMessageId] = [];
+        }
+        
+        attachmentsByMessage[closestMessageId].push({
+          id: upload.id,
+          mongo_id: upload.mongo_id,
+          name: upload.name,
+          size: upload.size,
+          type: upload.type,
+          url: upload.url,
+          path: upload.path,
+          typegroup: upload.typegroup,
+          identify: upload.identify
+        });
+      }
+    });
+    
+    res.json({
+      status: 'success',
+      attachments: attachmentsByMessage
+    });
+    
+  } catch (error) {
+    console.error('Error fetching message attachments:', error);
+    res.status(500).json({ 
+      status: 'error',
+      error: 'Failed to fetch attachments',
+      details: error.message
+    });
+  }
+});
+
+// Search messages in accessible rooms for a user
+router.get('/users/:userId/search', async (req, res) => {
+  const { userId } = req.params;
+  const { q, limit = 20 } = req.query;
+  
+  if (!q || q.length < 2) {
+    return res.status(400).json({
+      status: 'error',
+      error: 'Search query must be at least 2 characters'
+    });
+  }
+  
+  try {
+    const userResult = await global.pool.query(`
+      SELECT mongo_id FROM users WHERE id = $1
+    `, [userId]);
+    
+    if (userResult.rows.length === 0) {
+      return res.status(404).json({
+        status: 'error',
+        error: 'User not found'
+      });
+    }
+    
+    const currentUserMongoId = userResult.rows[0].mongo_id;
+    
+    const result = await global.pool.query(`
+      SELECT m.id, m.msg, m.ts, m.u, r.id as room_id, r.name as room_name, r.fname as room_fname, r.t as room_type
+      FROM message m
+      JOIN room r ON m.rid = r.mongo_id
+      JOIN subscription s ON s.rid = r.mongo_id AND s.u->>'_id' = $1
+      WHERE m.msg ILIKE $2
+      AND r.archived IS NOT TRUE
+      ORDER BY m.ts DESC
+      LIMIT $3
+    `, [currentUserMongoId, `%${q}%`, limit]);
+    
+    res.json({
+      status: 'success',
+      results: result.rows
+    });
+  } catch (error) {
+    console.error('Error searching messages:', error);
+    res.status(500).json({ 
+      status: 'error',
+      error: 'Failed to search messages',
+      details: error.message
+    });
+  }
+});
+
+module.exports = router; 

inventory-server/chat/server.js

@@ -0,0 +1,83 @@
+require('dotenv').config({ path: '../.env' });
+const express = require('express');
+const cors = require('cors');
+const { Pool } = require('pg');
+const morgan = require('morgan');
+const chatRoutes = require('./routes');
+
+// Log startup configuration
+console.log('Starting chat server with config:', {
+  host: process.env.CHAT_DB_HOST,
+  user: process.env.CHAT_DB_USER,
+  database: process.env.CHAT_DB_NAME || 'rocketchat_converted',
+  port: process.env.CHAT_DB_PORT,
+  chat_port: process.env.CHAT_PORT || 3014
+});
+
+const app = express();
+const port = process.env.CHAT_PORT || 3014;
+
+// Database configuration for rocketchat_converted database
+const pool = new Pool({
+  host: process.env.CHAT_DB_HOST,
+  user: process.env.CHAT_DB_USER,
+  password: process.env.CHAT_DB_PASSWORD,
+  database: process.env.CHAT_DB_NAME || 'rocketchat_converted',
+  port: process.env.CHAT_DB_PORT,
+});
+
+// Make pool available globally
+global.pool = pool;
+
+// Middleware
+app.use(express.json());
+app.use(morgan('combined'));
+app.use(cors({
+  origin: ['http://localhost:5175', 'http://localhost:5174', 'https://inventory.kent.pw', 'https://acot.site'],
+  credentials: true
+}));
+
+// Test database connection endpoint
+app.get('/test-db', async (req, res) => {
+  try {
+    const result = await pool.query('SELECT COUNT(*) as user_count FROM users WHERE active = true');
+    const messageResult = await pool.query('SELECT COUNT(*) as message_count FROM message');
+    const roomResult = await pool.query('SELECT COUNT(*) as room_count FROM room');
+    
+    res.json({
+      status: 'success',
+      database: 'rocketchat_converted',
+      stats: {
+        active_users: parseInt(result.rows[0].user_count),
+        total_messages: parseInt(messageResult.rows[0].message_count),
+        total_rooms: parseInt(roomResult.rows[0].room_count)
+      }
+    });
+  } catch (error) {
+    console.error('Database test error:', error);
+    res.status(500).json({ 
+      status: 'error',
+      error: 'Database connection failed',
+      details: error.message
+    });
+  }
+});
+
+// Mount all routes from routes.js
+app.use('/', chatRoutes);
+
+// Health check endpoint
+app.get('/health', (req, res) => {
+  res.json({ status: 'healthy' });
+});
+
+// Error handling middleware
+app.use((err, req, res, next) => {
+  console.error(err.stack);
+  res.status(500).json({ error: 'Something broke!' });
+});
+
+// Start server
+app.listen(port, () => {
+  console.log(`Chat server running on port ${port}`);
+}); 

inventory-server/chat/update-config-template.env

@@ -0,0 +1,26 @@
+# Chat Server Database Configuration Template
+# Copy this to your .env file and update the values for your new server
+
+# Database Configuration for New Server
+CHAT_DB_HOST=your-new-server-ip-or-hostname
+CHAT_DB_PORT=5432
+CHAT_DB_NAME=rocketchat_converted
+CHAT_DB_USER=rocketchat_user
+CHAT_DB_PASSWORD=your-secure-password
+
+# Chat Server Port
+CHAT_PORT=3014
+
+# Example configuration:
+# CHAT_DB_HOST=192.168.1.100
+# CHAT_DB_PORT=5432
+# CHAT_DB_NAME=rocketchat_converted
+# CHAT_DB_USER=rocketchat_user
+# CHAT_DB_PASSWORD=MySecureP@ssw0rd123
+
+# Notes:
+# - Replace 'your-new-server-ip-or-hostname' with actual server address
+# - Use a strong password for CHAT_DB_PASSWORD
+# - Ensure the new server allows connections from your application server
+# - Update any firewall rules to allow PostgreSQL connections (port 5432)
+# - Test connectivity before updating production configuration

inventory-server/chat/verify-migration.js

@@ -0,0 +1,231 @@
+#!/usr/bin/env node
+
+/**
+ * Chat Database Migration Verification Script
+ * 
+ * This script verifies that the chat database migration was successful
+ * by comparing record counts and testing basic functionality.
+ */
+
+require('dotenv').config({ path: '../.env' });
+const { Pool } = require('pg');
+
+// Database configuration
+const pool = new Pool({
+  host: process.env.CHAT_DB_HOST || 'localhost',
+  user: process.env.CHAT_DB_USER || 'rocketchat_user',
+  password: process.env.CHAT_DB_PASSWORD,
+  database: process.env.CHAT_DB_NAME || 'rocketchat_converted',
+  port: process.env.CHAT_DB_PORT || 5432,
+});
+
+const originalStats = process.argv[2] ? JSON.parse(process.argv[2]) : null;
+
+async function verifyMigration() {
+  console.log('🔍 Starting migration verification...\n');
+  
+  try {
+    // Test basic connection
+    console.log('🔗 Testing database connection...');
+    const versionResult = await pool.query('SELECT version()');
+    console.log('✅ Database connection successful');
+    console.log(`   PostgreSQL version: ${versionResult.rows[0].version.split(' ')[1]}\n`);
+
+    // Get table statistics
+    console.log('📊 Checking table statistics...');
+    const statsResult = await pool.query(`
+      SELECT 
+        tablename,
+        n_live_tup as row_count,
+        n_dead_tup as dead_rows,
+        schemaname
+      FROM pg_stat_user_tables 
+      WHERE schemaname = 'public'
+      ORDER BY n_live_tup DESC
+    `);
+
+    if (statsResult.rows.length === 0) {
+      console.log('❌ No tables found! Migration may have failed.');
+      return false;
+    }
+
+    console.log('📋 Table Statistics:');
+    console.log('   Table Name          | Row Count | Dead Rows');
+    console.log('   -------------------|-----------|----------');
+    
+    let totalRows = 0;
+    const tableStats = {};
+    
+    for (const row of statsResult.rows) {
+      const rowCount = parseInt(row.row_count) || 0;
+      const deadRows = parseInt(row.dead_rows) || 0;
+      totalRows += rowCount;
+      tableStats[row.tablename] = rowCount;
+      
+      console.log(`   ${row.tablename.padEnd(18)} | ${rowCount.toString().padStart(9)} | ${deadRows.toString().padStart(8)}`);
+    }
+    
+    console.log(`\n   Total rows across all tables: ${totalRows}\n`);
+
+    // Verify critical tables exist and have data
+    const criticalTables = ['users', 'message', 'room'];
+    console.log('🔑 Checking critical tables...');
+    
+    for (const table of criticalTables) {
+      if (tableStats[table] > 0) {
+        console.log(`✅ ${table}: ${tableStats[table]} rows`);
+      } else if (tableStats[table] === 0) {
+        console.log(`⚠️  ${table}: table exists but is empty`);
+      } else {
+        console.log(`❌ ${table}: table not found`);
+        return false;
+      }
+    }
+
+    // Test specific functionality
+    console.log('\n🧪 Testing specific functionality...');
+
+    // Test users table
+    const userTest = await pool.query(`
+      SELECT COUNT(*) as total_users,
+             COUNT(*) FILTER (WHERE active = true) as active_users,
+             COUNT(*) FILTER (WHERE type = 'user') as regular_users
+      FROM users
+    `);
+    
+    if (userTest.rows[0]) {
+      const { total_users, active_users, regular_users } = userTest.rows[0];
+      console.log(`✅ Users: ${total_users} total, ${active_users} active, ${regular_users} regular users`);
+    }
+
+    // Test messages table
+    const messageTest = await pool.query(`
+      SELECT COUNT(*) as total_messages,
+             COUNT(DISTINCT rid) as unique_rooms,
+             MIN(ts) as oldest_message,
+             MAX(ts) as newest_message
+      FROM message
+    `);
+    
+    if (messageTest.rows[0]) {
+      const { total_messages, unique_rooms, oldest_message, newest_message } = messageTest.rows[0];
+      console.log(`✅ Messages: ${total_messages} total across ${unique_rooms} rooms`);
+      if (oldest_message && newest_message) {
+        console.log(`   Date range: ${oldest_message.toISOString().split('T')[0]} to ${newest_message.toISOString().split('T')[0]}`);
+      }
+    }
+
+    // Test rooms table
+    const roomTest = await pool.query(`
+      SELECT COUNT(*) as total_rooms,
+             COUNT(*) FILTER (WHERE t = 'c') as channels,
+             COUNT(*) FILTER (WHERE t = 'p') as private_groups,
+             COUNT(*) FILTER (WHERE t = 'd') as direct_messages
+      FROM room
+    `);
+    
+    if (roomTest.rows[0]) {
+      const { total_rooms, channels, private_groups, direct_messages } = roomTest.rows[0];
+      console.log(`✅ Rooms: ${total_rooms} total (${channels} channels, ${private_groups} private, ${direct_messages} DMs)`);
+    }
+
+    // Test file uploads if table exists
+    if (tableStats.uploads > 0) {
+      const uploadTest = await pool.query(`
+        SELECT COUNT(*) as total_uploads,
+               COUNT(DISTINCT typegroup) as file_types,
+               pg_size_pretty(SUM(size)) as total_size
+        FROM uploads
+        WHERE size IS NOT NULL
+      `);
+      
+      if (uploadTest.rows[0]) {
+        const { total_uploads, file_types, total_size } = uploadTest.rows[0];
+        console.log(`✅ Uploads: ${total_uploads} files, ${file_types} types, ${total_size || 'unknown size'}`);
+      }
+    }
+
+    // Test server health endpoint simulation
+    console.log('\n🏥 Testing application endpoints simulation...');
+    
+    try {
+      const healthTest = await pool.query(`
+        SELECT 
+          (SELECT COUNT(*) FROM users WHERE active = true) as active_users,
+          (SELECT COUNT(*) FROM message) as total_messages,
+          (SELECT COUNT(*) FROM room) as total_rooms
+      `);
+      
+      if (healthTest.rows[0]) {
+        const stats = healthTest.rows[0];
+        console.log('✅ Health check simulation passed');
+        console.log(`   Active users: ${stats.active_users}`);
+        console.log(`   Total messages: ${stats.total_messages}`);
+        console.log(`   Total rooms: ${stats.total_rooms}`);
+      }
+    } catch (error) {
+      console.log(`⚠️  Health check simulation failed: ${error.message}`);
+    }
+
+    // Check indexes
+    console.log('\n📇 Checking database indexes...');
+    const indexResult = await pool.query(`
+      SELECT 
+        schemaname,
+        tablename,
+        indexname,
+        indexdef
+      FROM pg_indexes 
+      WHERE schemaname = 'public'
+      ORDER BY tablename, indexname
+    `);
+
+    const indexesByTable = {};
+    for (const idx of indexResult.rows) {
+      if (!indexesByTable[idx.tablename]) {
+        indexesByTable[idx.tablename] = [];
+      }
+      indexesByTable[idx.tablename].push(idx.indexname);
+    }
+
+    for (const [table, indexes] of Object.entries(indexesByTable)) {
+      console.log(`   ${table}: ${indexes.length} indexes`);
+    }
+
+    console.log('\n🎉 Migration verification completed successfully!');
+    console.log('\n✅ Summary:');
+    console.log(`   - Database connection: Working`);
+    console.log(`   - Tables created: ${statsResult.rows.length}`);
+    console.log(`   - Total data rows: ${totalRows}`);
+    console.log(`   - Critical tables: All present`);
+    console.log(`   - Indexes: ${indexResult.rows.length} total`);
+    
+    console.log('\n🚀 Next steps:');
+    console.log('   1. Update your application configuration');
+    console.log('   2. Start your chat server');
+    console.log('   3. Test chat functionality in the browser');
+    console.log('   4. Monitor logs for any issues');
+    
+    return true;
+
+  } catch (error) {
+    console.error('❌ Migration verification failed:', error.message);
+    console.error('\n🔧 Troubleshooting steps:');
+    console.error('   1. Check database connection settings');
+    console.error('   2. Verify database and user exist');
+    console.error('   3. Check PostgreSQL logs');
+    console.error('   4. Ensure import completed without errors');
+    return false;
+  } finally {
+    await pool.end();
+  }
+}
+
+// Run verification
+if (require.main === module) {
+  verifyMigration().then(success => {
+    process.exit(success ? 0 : 1);
+  });
+}
+
+module.exports = { verifyMigration };