Refactor MongoDB to PostgreSQL data synchronization: remove json2postgres.py, add mongodb2postgres.py for improved schema generation and data insertion

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2026-02-06 12:11:46 -05:00
parent a52bd5571e
commit 9fbd5dc8b9
4 changed files with 781 additions and 294 deletions
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import time
import sys
from tqdm import tqdm
import logs.Logger
from db.functions import settype, dbmongo
from datetime import datetime
import json
from db.schema_generator import MongoToPostgresSchemaGenerator, MongoDocumentInserter
import settings.config
def set_apienv(urls, uprocess, dbengine, dbExec, updatesBase, lprint):
"""Populate updates table from the API and return available updates.
Args:
urls: URL configuration with an "updatesurl" key.
uprocess: URL loader instance with `get_data`.
jget: JSON processor with `jconvert`.
dbengine: database engine dict (expects key "engine").
dbExec: database execution helper with `update_tvupdates` and `rawsql_select`.
updatesBase: list-like containing tables (uses index 8 for updates table).
lprint: logger instance with `logprint`.
Returns:
List of tuples (seriesid, timestamp) representing available updates.
"""
#updatetable = updatesBase[8]
#inputdata = uprocess.get_data(urls["updatesurl"])
#lprint.logprint("info", f"Retrieved {len(availableupdates)} rows for processing......")
#
newupdates = dbExec.rawsql_select(
dbengine["engine"],
"select seriesid,timestamp from updates.tvupdates",
lprint
)
return newupdates
ROOTDIR = os.getcwd()
config_options = settings.config.Config(ROOTDIR)
options = config_options.config_options
dbtype, apitype = options["dbtype"], options["apitype"]
dbs = settype(dbtype, apitype, options)
dbclass, dbengine = dbs.dbclass, dbs.dbengine
mongo_updater = dbmongo(options)
generator = MongoToPostgresSchemaGenerator(sample_size=100)
tableNames = ['seriesdata', 'episodesdata', 'actorsdata', 'charactersdata', 'crewdata']
for tableName in tableNames:
# Generate and print the schema for each collection
schema = generator.analyze_collection(mongo_updater, getattr(mongo_updater, f'mg{tableName[:-4]}'))
sql = generator.generate_create_table_sql(
tableName,
schema_name='updates',
pk_field='id' if tableName == 'seriesdata' else 'id',
)
print(f"--- SQL Schema for {tableName} ---")
print(sql)
print("\n")
# Or create it directly
generator.create_table_in_postgres(
dbengine,
tableName,
schema_name='updates',
#pk_field='seriesid' if tableName == 'seriesdata' else 'id',
pk_field='id',
drop_existing=True,
)
inserter = MongoDocumentInserter(batch_size=1000)
# Map table names to their MongoDB collections and primary keys
collection_map = {
'seriesdata': (mongo_updater.mgseries, 'id'),
'episodesdata': (mongo_updater.mgepisodes, 'id'),
'actorsdata': (mongo_updater.mgactors, 'id'),
'charactersdata': (mongo_updater.mgcharacters, 'id'),
'crewdata': (mongo_updater.mgcrew, 'id'),
}
# Insert documents from collections with UPSERT
for tableName in tableNames:
if tableName in collection_map:
collection, pk_field = collection_map[tableName]
# Build ON CONFLICT ... DO UPDATE clause
# Re-analyze the specific collection so we have the correct fields
schema = generator.analyze_collection(mongo_updater, collection)
# Use lowercased column names to match PostgreSQL unquoted identifiers
update_cols = [col.lower() for col in schema.keys() if col.lower() != pk_field.lower() and col != '_id']
update_clause = ', '.join([f"{col}=EXCLUDED.{col}" for col in update_cols])
on_conflict = f"ON CONFLICT ({pk_field}) DO UPDATE SET {update_clause}"
count = inserter.insert_from_collection(
engine=dbengine,
table_name=tableName,
collection=collection,
schema_name='updates',
on_conflict=on_conflict,
)
print(f"Inserted/Updated {count} documents in {tableName}")
else:
print(f"Warning: No collection mapping for {tableName}")
# # Or directly from MongoDB collection
# count = inserter.insert_from_collection(
# engine=dbengine,
# table_name='seriesdata',
# collection=mongo_db['series'],
# schema_name='dbo',
# on_conflict="DO NOTHING",
# )
# if __name__ == "__main__":
# sys.exit(main())