Agrego split_path_recursively

data_transformers/consumer/test.ipynb

@@ -6,10 +6,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from fundar.structures import List as Lista\n",
-    "from fundar.utils import snd, load_from_str_or_buf, has, access, identity, is_empty\n",
+    "from fundar.structures import List as Lista, slicer\n",
+    "from fundar.utils import snd, load_from_str_or_buf, has, access, identity, is_empty, find_file\n",
     "from fundar import json\n",
-    "from utils import find_file, slicer\n",
     "from data_transformers import transformer\n",
     "from data_transformers import chain\n",
     "from pandas import DataFrame\n",
@@ -25,18 +24,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "file = find_file('mappings.json', '../../../')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "mappings = find_file('mappings.json')\n",
     "transformers = glob('./datasets_update/definitivos/transformers/*.py')\n",
     "transformers = Lista(transformers)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -55,7 +62,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -68,7 +75,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -104,7 +111,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -125,47 +132,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<function __main__.rename_cols(df: pandas.core.frame.DataFrame, map)>"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "transformer_from_source(f_definitions[0])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<function __main__.drop_col(df: pandas.core.frame.DataFrame, col, axis=1)>"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "transformer_from_source(f_definitions[1])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -174,7 +159,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -183,7 +168,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -192,38 +177,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "([(<transformer 'start'>,\n",
-       "   {},\n",
-       "     sector\n",
-       "   0      a),\n",
-       "  (<transformer 'rename_cols'>,\n",
-       "   {'map': {'subsector': 'indicador', 'valor_en_mtco2e': 'valor'},\n",
-       "    'df':   sector\n",
-       "    0      a},\n",
-       "     sector\n",
-       "   0      a),\n",
-       "  (<transformer 'drop_col'>,\n",
-       "   {'col': 'sector', 'axis': 1, 'df':   sector\n",
-       "    0      a},\n",
-       "   Empty DataFrame\n",
-       "   Columns: []\n",
-       "   Index: [0])],\n",
-       " Empty DataFrame\n",
-       " Columns: []\n",
-       " Index: [0])"
-      ]
-     },
-     "execution_count": 38,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "pipeline(df)"
    ]
@@ -245,7 +201,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,