tagcopy.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('tagsource.json' ,'r') as tf:\n",
    "    tagsrc_db = json.load(tf)\n",
    "with open('tagdest.json', 'r') as tf:\n",
    "    tagdest_db = json.load(tf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tbls = {t['tableName']: t['rows'] for t in tagsrc_db['data']['data']}\n",
    "dsttbls =  {t['tableName']: t['rows'] for t in tagdest_db['data']['data']}\n",
    "tags_by_id = {tag['id']: tag for tag in tbls['tags']}\n",
    "def tag_id_to_name(id):\n",
    "    return tags_by_id[id]['name']\n",
    "\n",
    "dst_tag_ids = set(tag['id'] for tag in dsttbls['tags'])\n",
    "\n",
    "for (tag_id, tag) in tags_by_id.items():\n",
    "    if tag_id not in dst_tag_ids:\n",
    "        print(f'Transferring tag definition {tag_id_to_name(tag_id)} ({tag_id})')\n",
    "        dsttbls['tags'].append(tag)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "imgs_by_relative_path = {i['relativePath']: i for i in tbls['files']}\n",
    "dst_imgs_by_relative_path = {i['relativePath']: i for i in dsttbls['files']}\n",
    "\n",
    "for (imgrp, img) in imgs_by_relative_path.items():\n",
    "    dsti = dst_imgs_by_relative_path.get(imgrp)\n",
    "    if dsti is None:\n",
    "        print(f'no match for {imgrp}')\n",
    "        continue\n",
    "    dst_tags = set(dsti['tags'])\n",
    "    src_tags = set(img['tags'])\n",
    "    add_tags = src_tags - dst_tags\n",
    "    if add_tags:\n",
    "        print(f'adding tags to {imgrp}: {add_tags}')\n",
    "    for tag in add_tags:\n",
    "        dsti['tags'].append(tag)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('combined.json', 'w') as tf:\n",
    "    json.dump(tagdest_db, tf)"
   ]
  }
 ],
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