From 2380915cee09aa924656988d8fbf0a6b9abc2528 Mon Sep 17 00:00:00 2001
From: Jean-Luc Parouty <Jean-Luc.Parouty@grenoble-inp.fr>
Date: Mon, 11 Jan 2021 16:53:58 +0100
Subject: [PATCH] Update ci test process
---
...date index.ipynb => 01-update-index.ipynb} | 0
fidle/02 - Running test.ipynb | 168 -------------
fidle/02-running-ci-tests.ipynb | 235 ++++++++++++++++++
fidle/03 - ci_report.ipynb | 116 ---------
fidle/03-ci-report.ipynb | 153 ++++++++++++
fidle/ci/{smart.yml => basic_example.yml} | 25 +-
fidle/ci/default.yml | 3 +-
fidle/ci/smart_cpu.yml | 98 ++++++++
fidle/cookci.py | 215 ++++++++++------
fidle/logs/ci_report.html | 156 +++++++++---
fidle/logs/ci_report.json | 29 ---
fidle/logs/ci_report_smart.json | 148 +++++++++++
12 files changed, 908 insertions(+), 438 deletions(-)
rename fidle/{01 - Update index.ipynb => 01-update-index.ipynb} (100%)
delete mode 100644 fidle/02 - Running test.ipynb
create mode 100644 fidle/02-running-ci-tests.ipynb
delete mode 100644 fidle/03 - ci_report.ipynb
create mode 100644 fidle/03-ci-report.ipynb
rename fidle/ci/{smart.yml => basic_example.yml} (56%)
create mode 100644 fidle/ci/smart_cpu.yml
delete mode 100644 fidle/logs/ci_report.json
create mode 100644 fidle/logs/ci_report_smart.json
diff --git a/fidle/01 - Update index.ipynb b/fidle/01-update-index.ipynb
similarity index 100%
rename from fidle/01 - Update index.ipynb
rename to fidle/01-update-index.ipynb
diff --git a/fidle/02 - Running test.ipynb b/fidle/02 - Running test.ipynb
deleted file mode 100644
index db2326d..0000000
--- a/fidle/02 - Running test.ipynb
+++ /dev/null
@@ -1,168 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<img width=\"800px\" src=\"../fidle/img/00-Fidle-header-01.svg\"></img>\n",
- "\n",
- "\n",
- "# Gestion des tests d'intégration continue\n",
- "\n",
- "**La liste des notebooks a éxécuter** et de leurs paramètres (override) est définie dans un **profile**. \n",
- " - Un profile est un fichier yaml\n",
- " - Un profile par défaut est généré en (1).\n",
- "\n",
- "Lorqu'un **profile** est prêt, il peut être soumis pour **éxécution** (2)\n",
- " - Pour chaque notebook, les paramètres sont positionnés (variables d'env.)\n",
- " - Le notebook est lu, puis éxécuté\n",
- " - Après éxécution, le notebook est sauvegardé sous son nom moodifié (output_tag)\n",
- "\n",
- "Un **rapport d'éxécution** est généré durant l'éxécution des tests : [./logs/ci_report.json](./logs/ci_report.json) \n",
- "A la fin des tests, ce rapport peut être visualisé via le notebook : [./03-ci_report.ipynb](./03%20-%20ci_report.ipynb)\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {},
- "outputs": [],
- "source": [
- "import cookci"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Get and Save default profile\n",
- "Génère un profile par défaut comprenant tous les notebooks du moment... \n",
- "...en tout cas présent dans catalog.json ;-)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Catalog saved as ./ci/default.yml\n",
- "Entries : 36\n"
- ]
- }
- ],
- "source": [
- "profile = cookci.get_ci_profile()\n",
- "cookci.save_profile(profile, './ci/default.yml')"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Load a saved profile"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "./ci/smart.yml loaded.\n",
- "Entries : 3\n"
- ]
- }
- ],
- "source": [
- "smart_profile = cookci.load_profile('./ci/smart.yml')"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Run this profile"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Finished file has been reset.\n",
- "\n",
- "\n",
- "Notebook : LINR1\n",
- " Run notebook.....done.\n",
- " Duration : 0:00:04\n",
- " Saved as : 01-Linear-Regression==done==.ipynb\n",
- "\n",
- "Notebook : PER57\n",
- " Run notebook.....done.\n",
- " Duration : 0:00:02\n",
- " Saved as : 01-Simple-Perceptron==done==.ipynb\n",
- "\n",
- "Notebook : GTSRB2\n",
- " set overrides :\n",
- " FIDLE_OVERRIDE_GTSRB2_run_dir = ./run/GTSRB2_ci\n",
- " FIDLE_OVERRIDE_GTSRB2_dataset_name = set-24x24-L\n",
- " FIDLE_OVERRIDE_GTSRB2_batch_size = 32\n",
- " FIDLE_OVERRIDE_GTSRB2_epochs = 3\n",
- " FIDLE_OVERRIDE_GTSRB2_scale = 0.1\n",
- " Run notebook...\n",
- " ************************************************************\n",
- " ** AAARG.. An error occured : CellExecutionError\n",
- " ** See notebook : 02-First-convolutions==ERROR==.ipynb for details.\n",
- " ************************************************************\n",
- " Duration : 0:00:02\n",
- " Saved as : 02-First-convolutions==ERROR==.ipynb\n"
- ]
- }
- ],
- "source": [
- "cookci.reset_ci_report()\n",
- "cookci.run_profile(smart_profile)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "---\n",
- "<img width=\"80px\" src=\"../fidle/img/00-Fidle-logo-01.svg\"></img>"
- ]
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.7.9"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/fidle/02-running-ci-tests.ipynb b/fidle/02-running-ci-tests.ipynb
new file mode 100644
index 0000000..13cd732
--- /dev/null
+++ b/fidle/02-running-ci-tests.ipynb
@@ -0,0 +1,235 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<img width=\"800px\" src=\"../fidle/img/00-Fidle-header-01.svg\"></img>\n",
+ "\n",
+ "\n",
+ "# Gestion des tests d'intégration continue\n",
+ "\n",
+ "**La liste des notebooks a éxécuter** et de leurs paramètres (override) est définie dans un **profile**. \n",
+ " - Un profile est un fichier yaml\n",
+ " - Un profile par défaut (à complété !) peut être généré.\n",
+ "\n",
+ "Lorqu'un **profile** est prêt, il peut être soumis pour **éxécution**\n",
+ " - Pour chaque notebook, les paramètres sont positionnés (variables d'env.)\n",
+ " - Le notebook est lu, puis éxécuté\n",
+ " - Après éxécution, le notebook est sauvegardé sous son nom taggé (output_tag)\n",
+ "\n",
+ "Un **rapport d'éxécution** est généré durant l'éxécution des tests. \n",
+ "A la fin des tests, ce rapport peut être visualisé via le notebook : [./03-ci-report.ipynb](./03-ci-report.ipynb)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import cookci"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Save a default profile\n",
+ "Génère un profile par défaut comprenant tous les notebooks du moment... \n",
+ "...en tout cas présent dans catalog.json ;-)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# profile = cookci.get_ci_profile()\n",
+ "# cookci.save_profile(profile, './ci/default.yml')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Run a profile"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "Run profile session - FIDLE 2021\n",
+ "Version : 1.0\n",
+ "\n",
+ "Load profile :./ci/smart_cpu.yml\n",
+ " Entries : 15\n",
+ "\n",
+ "Create new ci report : /home/pjluc/dev/fidle/fidle/logs/ci_report_smart.json\n",
+ "\n",
+ "Notebook : LINR1\n",
+ " Run notebook.....done.\n",
+ " Duration : 0:00:03\n",
+ " Saved as : 01-Linear-Regression==done==.ipynb\n",
+ "\n",
+ "Notebook : GRAD1\n",
+ " Run notebook.....done.\n",
+ " Duration : 0:00:06\n",
+ " Saved as : 02-Gradient-descent==done==.ipynb\n",
+ "\n",
+ "Notebook : POLR1\n",
+ " Run notebook.....done.\n",
+ " Duration : 0:00:03\n",
+ " Saved as : 03-Polynomial-Regression==done==.ipynb\n",
+ "\n",
+ "Notebook : LOGR1\n",
+ " Run notebook.....done.\n",
+ " Duration : 0:00:03\n",
+ " Saved as : 04-Logistic-Regression==done==.ipynb\n",
+ "\n",
+ "Notebook : PER57\n",
+ " Run notebook.....done.\n",
+ " Duration : 0:00:02\n",
+ " Saved as : 01-Simple-Perceptron==done==.ipynb\n",
+ "\n",
+ "Notebook : BHPD1\n",
+ " Run notebook.....done.\n",
+ " Duration : 0:00:13\n",
+ " Saved as : 01-DNN-Regression==done==.ipynb\n",
+ "\n",
+ "Notebook : BHPD2\n",
+ " Run notebook.....done.\n",
+ " Duration : 0:00:13\n",
+ " Saved as : 02-DNN-Regression-Premium==done==.ipynb\n",
+ "\n",
+ "Notebook : MNIST1\n",
+ " Run notebook.....done.\n",
+ " Duration : 0:00:37\n",
+ " Saved as : 01-DNN-MNIST==done==.ipynb\n",
+ "\n",
+ "Notebook : GTSRB1\n",
+ " set overrides :\n",
+ " FIDLE_OVERRIDE_GTSRB1_scale = 0.05\n",
+ " FIDLE_OVERRIDE_GTSRB1_output_dir = ./data\n",
+ " Run notebook.....done.\n",
+ " Duration : 0:01:24\n",
+ " Saved as : 01-Preparation-of-data==done==.ipynb\n",
+ "\n",
+ "Notebook : GTSRB2\n",
+ " set overrides :\n",
+ " FIDLE_OVERRIDE_GTSRB2_run_dir = ./run/GTSRB2_ci\n",
+ " FIDLE_OVERRIDE_GTSRB2_dataset_name = set-24x24-L\n",
+ " FIDLE_OVERRIDE_GTSRB2_batch_size = 64\n",
+ " FIDLE_OVERRIDE_GTSRB2_epochs = 5\n",
+ " FIDLE_OVERRIDE_GTSRB2_scale = 1\n",
+ " Run notebook.....done.\n",
+ " Duration : 0:03:55\n",
+ " Saved as : 02-First-convolutions==done==.ipynb\n",
+ "\n",
+ "Notebook : GTSRB3\n",
+ " set overrides :\n",
+ " FIDLE_OVERRIDE_GTSRB3_run_dir = ./run/GTSRB3_ci\n",
+ " FIDLE_OVERRIDE_GTSRB3_dataset_name = set-24x24-L\n",
+ " FIDLE_OVERRIDE_GTSRB3_batch_size = 64\n",
+ " FIDLE_OVERRIDE_GTSRB3_epochs = 5\n",
+ " FIDLE_OVERRIDE_GTSRB3_scale = 1\n",
+ " Run notebook.....done.\n",
+ " Duration : 0:04:22\n",
+ " Saved as : 03-Tracking-and-visualizing==done==.ipynb\n",
+ "\n",
+ "Notebook : GTSRB4\n",
+ " set overrides :\n",
+ " FIDLE_OVERRIDE_GTSRB4_run_dir = ./run/GTSRB4_ci\n",
+ " FIDLE_OVERRIDE_GTSRB4_dataset_name = set-24x24-L\n",
+ " FIDLE_OVERRIDE_GTSRB4_batch_size = 64\n",
+ " FIDLE_OVERRIDE_GTSRB4_epochs = 5\n",
+ " FIDLE_OVERRIDE_GTSRB4_scale = 0.5\n",
+ " Run notebook...\n",
+ " ************************************************************\n",
+ " ** AAARG.. An error occured : AssertionError\n",
+ " ** See notebook : 04-Data-augmentation==ERROR==.ipynb for details.\n",
+ " ************************************************************\n",
+ " Duration : 0:02:12\n",
+ " Saved as : 04-Data-augmentation==ERROR==.ipynb\n",
+ "\n",
+ "Notebook : GTSRB5\n",
+ " set overrides :\n",
+ " FIDLE_OVERRIDE_GTSRB5_run_dir = ./run/GTSRB5_ci\n",
+ " FIDLE_OVERRIDE_GTSRB5_datasets = ['set-24x24-L', 'set-24x24-RGB', 'set-48x48-RGB']\n",
+ " FIDLE_OVERRIDE_GTSRB5_models = {'v1':'get_model_v1', 'v2':'get_model_v2', 'v3':'get_model_v3'}\n",
+ " FIDLE_OVERRIDE_GTSRB5_batch_size = 64\n",
+ " FIDLE_OVERRIDE_GTSRB5_epochs = 5\n",
+ " FIDLE_OVERRIDE_GTSRB5_scale = 0.1\n",
+ " FIDLE_OVERRIDE_GTSRB5_with_datagen = True\n",
+ " FIDLE_OVERRIDE_GTSRB5_verbose = 0\n",
+ " Run notebook...\n",
+ " ************************************************************\n",
+ " ** AAARG.. An error occured : CellExecutionError\n",
+ " ** See notebook : 05-Full-convolutions==ERROR==.ipynb for details.\n",
+ " ************************************************************\n",
+ " Duration : 0:00:02\n",
+ " Saved as : 05-Full-convolutions==ERROR==.ipynb\n",
+ "\n",
+ "Notebook : GTSRB6\n",
+ " Run notebook.....done.\n",
+ " Duration : 0:00:03\n",
+ " Saved as : 06-Notebook-as-a-batch==done==.ipynb\n",
+ "\n",
+ "Notebook : GTSRB7\n",
+ " set overrides :\n",
+ " FIDLE_OVERRIDE_GTSRB7_run_dir = ./run/GTSRB7_ci\n",
+ " FIDLE_OVERRIDE_GTSRB7_report_dir = ./run/GTSRB5\n",
+ " Run notebook.....done.\n",
+ " Duration : 0:00:02\n",
+ " Saved as : 07-Show-report==done==.ipynb\n",
+ "\n",
+ "End of running process\n",
+ " Duration : 0:13:29\n",
+ "\n",
+ "Complete ci report : /home/pjluc/dev/fidle/fidle/logs/ci_report_smart.json\n"
+ ]
+ }
+ ],
+ "source": [
+ "cookci.run_profile('./ci/smart_cpu.yml', report_name='./logs/ci_report_smart.json')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "---\n",
+ "<img width=\"80px\" src=\"../fidle/img/00-Fidle-logo-01.svg\"></img>"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.7.9"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/fidle/03 - ci_report.ipynb b/fidle/03 - ci_report.ipynb
deleted file mode 100644
index 1bb74c8..0000000
--- a/fidle/03 - ci_report.ipynb
+++ /dev/null
@@ -1,116 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<img width=\"800px\" src=\"../fidle/img/00-Fidle-header-01.svg\"></img>\n",
- "\n",
- "\n",
- "## Continuous integration report\n",
- "\n",
- "Each notebook indicates its start and end of execution:\n",
- " - at the beginning, with `pwk.init()`\n",
- " - at the end, with `pwk.end()` \n",
- " \n",
- "All of theses informations are saved in a json file - Final report is below and in a HTML file. \n",
- "See ./log"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<style type=\"text/css\" >\n",
- " #T_58cf4_ td {\n",
- " font-size: 110%;\n",
- " text-align: left;\n",
- " } #T_58cf4_ th {\n",
- " font-size: 110%;\n",
- " text-align: left;\n",
- " }#T_58cf4_row2_col7{\n",
- " background-color: OrangeRed;\n",
- " color: white;\n",
- " background-color: OrangeRed;\n",
- " color: white;\n",
- " }</style><table id=\"T_58cf4_\" ><thead> <tr> <th class=\"col_heading level0 col0\" >id</th> <th class=\"col_heading level0 col1\" >dir</th> <th class=\"col_heading level0 col2\" >src</th> <th class=\"col_heading level0 col3\" >out</th> <th class=\"col_heading level0 col4\" >start</th> <th class=\"col_heading level0 col5\" >end</th> <th class=\"col_heading level0 col6\" >duration</th> <th class=\"col_heading level0 col7\" >state</th> </tr></thead><tbody>\n",
- " <tr>\n",
- " <td id=\"T_58cf4_row0_col0\" class=\"data row0 col0\" ><a href='../LinearReg/01-Linear-Regression.ipynb'>LINR1</a></td>\n",
- " <td id=\"T_58cf4_row0_col1\" class=\"data row0 col1\" >LinearReg</td>\n",
- " <td id=\"T_58cf4_row0_col2\" class=\"data row0 col2\" ><a href='../LinearReg/01-Linear-Regression.ipynb'>01-Linear-Regression.ipynb</a></td>\n",
- " <td id=\"T_58cf4_row0_col3\" class=\"data row0 col3\" ><a href='../LinearReg/01-Linear-Regression==done==.ipynb'>01-Linear-Regression==done==.ipynb</a></td>\n",
- " <td id=\"T_58cf4_row0_col4\" class=\"data row0 col4\" >11/01/21 01:07:35</td>\n",
- " <td id=\"T_58cf4_row0_col5\" class=\"data row0 col5\" >11/01/21 01:07:39</td>\n",
- " <td id=\"T_58cf4_row0_col6\" class=\"data row0 col6\" >0:00:04</td>\n",
- " <td id=\"T_58cf4_row0_col7\" class=\"data row0 col7\" >ok</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td id=\"T_58cf4_row1_col0\" class=\"data row1 col0\" ><a href='../IRIS/01-Simple-Perceptron.ipynb'>PER57</a></td>\n",
- " <td id=\"T_58cf4_row1_col1\" class=\"data row1 col1\" >IRIS</td>\n",
- " <td id=\"T_58cf4_row1_col2\" class=\"data row1 col2\" ><a href='../IRIS/01-Simple-Perceptron.ipynb'>01-Simple-Perceptron.ipynb</a></td>\n",
- " <td id=\"T_58cf4_row1_col3\" class=\"data row1 col3\" ><a href='../IRIS/01-Simple-Perceptron==done==.ipynb'>01-Simple-Perceptron==done==.ipynb</a></td>\n",
- " <td id=\"T_58cf4_row1_col4\" class=\"data row1 col4\" >11/01/21 01:07:39</td>\n",
- " <td id=\"T_58cf4_row1_col5\" class=\"data row1 col5\" >11/01/21 01:07:42</td>\n",
- " <td id=\"T_58cf4_row1_col6\" class=\"data row1 col6\" >0:00:02</td>\n",
- " <td id=\"T_58cf4_row1_col7\" class=\"data row1 col7\" >ok</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td id=\"T_58cf4_row2_col0\" class=\"data row2 col0\" ><a href='../GTSRB/02-First-convolutions.ipynb'>GTSRB2</a></td>\n",
- " <td id=\"T_58cf4_row2_col1\" class=\"data row2 col1\" >GTSRB</td>\n",
- " <td id=\"T_58cf4_row2_col2\" class=\"data row2 col2\" ><a href='../GTSRB/02-First-convolutions.ipynb'>02-First-convolutions.ipynb</a></td>\n",
- " <td id=\"T_58cf4_row2_col3\" class=\"data row2 col3\" ><a href='../GTSRB/02-First-convolutions==ERROR==.ipynb'>02-First-convolutions==ERROR==.ipynb</a></td>\n",
- " <td id=\"T_58cf4_row2_col4\" class=\"data row2 col4\" >11/01/21 01:07:42</td>\n",
- " <td id=\"T_58cf4_row2_col5\" class=\"data row2 col5\" >11/01/21 01:07:44</td>\n",
- " <td id=\"T_58cf4_row2_col6\" class=\"data row2 col6\" >0:00:02</td>\n",
- " <td id=\"T_58cf4_row2_col7\" class=\"data row2 col7\" >ERROR</td>\n",
- " </tr>\n",
- " </tbody></table>"
- ],
- "text/plain": [
- "<pandas.io.formats.style.Styler at 0x7f1cf038af10>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "import cookci\n",
- "cookci.build_ci_report()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "---\n",
- "<img width=\"80px\" src=\"../fidle/img/00-Fidle-logo-01.svg\"></img>"
- ]
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.7.9"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/fidle/03-ci-report.ipynb b/fidle/03-ci-report.ipynb
new file mode 100644
index 0000000..1ad3362
--- /dev/null
+++ b/fidle/03-ci-report.ipynb
@@ -0,0 +1,153 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<img width=\"800px\" src=\"../fidle/img/00-Fidle-header-01.svg\"></img>\n",
+ "\n",
+ "\n",
+ "## Continuous integration report\n",
+ "\n",
+ "Réalisation des tests : [02-running-ci-tests.ipynb](02-running-ci-tests.ipynb) \n",
+ "Résultats bruts : [./logs/ci_report.json](./logs/ci_report.json) "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/markdown": [
+ "### About :"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "**Version** : 1.0 \n",
+ "**Output_Tag** : ==done== \n",
+ "**Save_Figs** : False \n",
+ "**Description** : A basic profile example \n",
+ "**Host** : Oban \n",
+ "**Profile** : ./ci/smart.yml \n",
+ "**Start** : 11/01/21 16:20:47 \n",
+ "**End** : 11/01/21 16:20:52 \n",
+ "**Duration** : 0:00:05 \n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "### Details :"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\" >\n",
+ " #T_5a52f_ td {\n",
+ " font-size: 110%;\n",
+ " text-align: left;\n",
+ " } #T_5a52f_ th {\n",
+ " font-size: 110%;\n",
+ " text-align: left;\n",
+ " }</style><table id=\"T_5a52f_\" ><thead> <tr> <th class=\"col_heading level0 col0\" >Id</th> <th class=\"col_heading level0 col1\" >Dir</th> <th class=\"col_heading level0 col2\" >Src</th> <th class=\"col_heading level0 col3\" >Out</th> <th class=\"col_heading level0 col4\" >Start</th> <th class=\"col_heading level0 col5\" >End</th> <th class=\"col_heading level0 col6\" >Duration</th> <th class=\"col_heading level0 col7\" >State</th> </tr></thead><tbody>\n",
+ " <tr>\n",
+ " <td id=\"T_5a52f_row0_col0\" class=\"data row0 col0\" ><a href='../LinearReg/01-Linear-Regression.ipynb'>LINR1</a></td>\n",
+ " <td id=\"T_5a52f_row0_col1\" class=\"data row0 col1\" >LinearReg</td>\n",
+ " <td id=\"T_5a52f_row0_col2\" class=\"data row0 col2\" ><a href='../LinearReg/01-Linear-Regression.ipynb'>01-Linear-Regression.ipynb</a></td>\n",
+ " <td id=\"T_5a52f_row0_col3\" class=\"data row0 col3\" ><a href='../LinearReg/01-Linear-Regression==done==.ipynb'>01-Linear-Regression==done==.ipynb</a></td>\n",
+ " <td id=\"T_5a52f_row0_col4\" class=\"data row0 col4\" >11/01/21 16:20:47</td>\n",
+ " <td id=\"T_5a52f_row0_col5\" class=\"data row0 col5\" >11/01/21 16:20:50</td>\n",
+ " <td id=\"T_5a52f_row0_col6\" class=\"data row0 col6\" >0:00:02</td>\n",
+ " <td id=\"T_5a52f_row0_col7\" class=\"data row0 col7\" >ok</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td id=\"T_5a52f_row1_col0\" class=\"data row1 col0\" ><a href='../IRIS/01-Simple-Perceptron.ipynb'>PER57</a></td>\n",
+ " <td id=\"T_5a52f_row1_col1\" class=\"data row1 col1\" >IRIS</td>\n",
+ " <td id=\"T_5a52f_row1_col2\" class=\"data row1 col2\" ><a href='../IRIS/01-Simple-Perceptron.ipynb'>01-Simple-Perceptron.ipynb</a></td>\n",
+ " <td id=\"T_5a52f_row1_col3\" class=\"data row1 col3\" ><a href='../IRIS/01-Simple-Perceptron==done==.ipynb'>01-Simple-Perceptron==done==.ipynb</a></td>\n",
+ " <td id=\"T_5a52f_row1_col4\" class=\"data row1 col4\" >11/01/21 16:20:50</td>\n",
+ " <td id=\"T_5a52f_row1_col5\" class=\"data row1 col5\" >11/01/21 16:20:52</td>\n",
+ " <td id=\"T_5a52f_row1_col6\" class=\"data row1 col6\" >0:00:02</td>\n",
+ " <td id=\"T_5a52f_row1_col7\" class=\"data row1 col7\" >ok</td>\n",
+ " </tr>\n",
+ " </tbody></table>"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7fa37bdc43d0>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "<br>HTML report saved as : [./logs/ci_report.html](./logs/ci_report.html)"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "import cookci\n",
+ "cookci.build_ci_report(report_name='./logs/ci_report_smart.json')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "---\n",
+ "<img width=\"80px\" src=\"../fidle/img/00-Fidle-logo-01.svg\"></img>"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.7.9"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/fidle/ci/smart.yml b/fidle/ci/basic_example.yml
similarity index 56%
rename from fidle/ci/smart.yml
rename to fidle/ci/basic_example.yml
index c1b6c73..d431695 100644
--- a/fidle/ci/smart.yml
+++ b/fidle/ci/basic_example.yml
@@ -1,7 +1,8 @@
-config:
+_metadata_:
version: '1.0'
output_tag: ==done==
- save_figs: true
+ save_figs: false
+ description: A basic profile example
LINR1:
notebook_dir: LinearReg
notebook_src: 01-Linear-Regression.ipynb
@@ -17,13 +18,13 @@ PER57:
# overrides:
# scale: 0.1
# output_dir: ./data
-GTSRB2:
- notebook_dir: GTSRB
- notebook_src: 02-First-convolutions.ipynb
- notebook_out: default
- overrides:
- run_dir: ./run/GTSRB2_ci
- dataset_name: set-24x24-L
- batch_size: 32
- epochs: 3
- scale: 0.1
\ No newline at end of file
+# GTSRB2:
+# notebook_dir: GTSRB
+# notebook_src: 02-First-convolutions.ipynb
+# notebook_out: default
+# overrides:
+# run_dir: ./run/GTSRB2_ci
+# dataset_name: set-24x24-L
+# batch_size: 32
+# epochs: 3
+# scale: 0.1
\ No newline at end of file
diff --git a/fidle/ci/default.yml b/fidle/ci/default.yml
index 9853a84..cd49f66 100644
--- a/fidle/ci/default.yml
+++ b/fidle/ci/default.yml
@@ -1,7 +1,8 @@
-config:
+_metadata_:
version: '1.0'
output_tag: ==done==
save_figs: true
+ description: Default generated profile
LINR1:
notebook_dir: LinearReg
notebook_src: 01-Linear-Regression.ipynb
diff --git a/fidle/ci/smart_cpu.yml b/fidle/ci/smart_cpu.yml
new file mode 100644
index 0000000..c60263f
--- /dev/null
+++ b/fidle/ci/smart_cpu.yml
@@ -0,0 +1,98 @@
+_metadata_:
+ version: '1.0'
+ output_tag: ==done==
+ save_figs: true
+ description: Smart profile, for cpu
+LINR1:
+ notebook_dir: LinearReg
+ notebook_src: 01-Linear-Regression.ipynb
+ notebook_out: default
+GRAD1:
+ notebook_dir: LinearReg
+ notebook_src: 02-Gradient-descent.ipynb
+ notebook_out: default
+POLR1:
+ notebook_dir: LinearReg
+ notebook_src: 03-Polynomial-Regression.ipynb
+ notebook_out: default
+LOGR1:
+ notebook_dir: LinearReg
+ notebook_src: 04-Logistic-Regression.ipynb
+ notebook_out: default
+PER57:
+ notebook_dir: IRIS
+ notebook_src: 01-Simple-Perceptron.ipynb
+ notebook_out: default
+BHPD1:
+ notebook_dir: BHPD
+ notebook_src: 01-DNN-Regression.ipynb
+ notebook_out: default
+BHPD2:
+ notebook_dir: BHPD
+ notebook_src: 02-DNN-Regression-Premium.ipynb
+ notebook_out: default
+MNIST1:
+ notebook_dir: MNIST
+ notebook_src: 01-DNN-MNIST.ipynb
+ notebook_out: default
+GTSRB1:
+ notebook_dir: GTSRB
+ notebook_src: 01-Preparation-of-data.ipynb
+ notebook_out: default
+ overrides:
+ scale: 0.05
+ output_dir: ./data
+GTSRB2:
+ notebook_dir: GTSRB
+ notebook_src: 02-First-convolutions.ipynb
+ notebook_out: default
+ overrides:
+ run_dir: ./run/GTSRB2_ci
+ dataset_name: set-24x24-L
+ batch_size: 64
+ epochs: 5
+ scale: 1
+GTSRB3:
+ notebook_dir: GTSRB
+ notebook_src: 03-Tracking-and-visualizing.ipynb
+ notebook_out: default
+ overrides:
+ run_dir: ./run/GTSRB3_ci
+ dataset_name: set-24x24-L
+ batch_size: 64
+ epochs: 5
+ scale: 1
+GTSRB4:
+ notebook_dir: GTSRB
+ notebook_src: 04-Data-augmentation.ipynb
+ notebook_out: default
+ overrides:
+ run_dir: ./run/GTSRB4_ci
+ dataset_name: set-24x24-L
+ batch_size: 64
+ epochs: 5
+ scale: 0.5
+GTSRB5:
+ notebook_dir: GTSRB
+ notebook_src: 05-Full-convolutions.ipynb
+ notebook_out: default
+ overrides:
+ run_dir: ./run/GTSRB5_ci
+ datasets: "['set-24x24-L', 'set-24x24-RGB', 'set-48x48-RGB']"
+ models: "{'v1':'get_model_v1', 'v2':'get_model_v2', 'v3':'get_model_v3'}"
+ batch_size: 64
+ epochs: 5
+ scale: 0.1
+ with_datagen: True
+ verbose: 0
+GTSRB6:
+ notebook_dir: GTSRB
+ notebook_src: 06-Notebook-as-a-batch.ipynb
+ notebook_out: default
+GTSRB7:
+ notebook_dir: GTSRB
+ notebook_src: 07-Show-report.ipynb
+ notebook_out: default
+ overrides:
+ run_dir: ./run/GTSRB7_ci
+ report_dir: ./run/GTSRB5
\ No newline at end of file
diff --git a/fidle/cookci.py b/fidle/cookci.py
index 6d7485e..bb02183 100644
--- a/fidle/cookci.py
+++ b/fidle/cookci.py
@@ -20,15 +20,17 @@ from nbconvert.preprocessors import ExecutePreprocessor
import re
import yaml
from collections import OrderedDict
-from IPython.display import display
+from IPython.display import display,Image,Markdown,HTML
import pandas as pd
sys.path.append('..')
import fidle.config as config
import fidle.cookindex as cookindex
-start_time = None
-end_time = None
+VERSION = '1.0'
+
+start_time = {}
+end_time = {}
def get_ci_profile(catalog=None, output_tag='==done==', save_figs=True):
'''
@@ -47,8 +49,11 @@ def get_ci_profile(catalog=None, output_tag='==done==', save_figs=True):
if catalog is None:
catalog = cookindex.read_catalog()
- config = {'version':'1.0', 'output_tag':output_tag, 'save_figs':save_figs}
- profile = { 'config':config }
+ metadata = { 'version' : '1.0',
+ 'output_tag' : output_tag,
+ 'save_figs' : save_figs,
+ 'description' : 'Default generated profile'}
+ profile = { '_metadata_':metadata }
for id, about in catalog.items():
id = about['id']
@@ -73,7 +78,7 @@ def save_profile(profile, filename):
'''Save profile in yaml format'''
with open(filename,'wt') as fp:
yaml.dump(profile, fp, sort_keys=False)
- print(f'Catalog saved as {filename}')
+ print(f'Profile saved as {filename}')
print('Entries : ',len(profile)-1)
@@ -81,12 +86,12 @@ def load_profile(filename):
'''Load yaml profile'''
with open(filename,'r') as fp:
profile=yaml.load(fp, Loader=yaml.FullLoader)
- print(f'{filename} loaded.')
- print('Entries : ',len(profile)-1)
+ print(f'\nLoad profile :{filename}')
+ print(' Entries : ',len(profile)-1)
return profile
-def run_profile(profile, top_dir='..'):
+def run_profile(profile_name, report_name=None, top_dir='..'):
'''
Récupère la liste des notebooks et des paramètres associés,
décrit dans le profile, et pour chaque notebook :
@@ -95,20 +100,37 @@ def run_profile(profile, top_dir='..'):
Exécuter celui-ci
Sauvegarder le notebook résultat, avec son nom taggé.
Params:
- profile : dict, profile d'éxécution
+ profile_name : nom du profile d'éxécution
+ report_name : Nom du rapport json généré
top_dir : chemin relatif vers la racine fidle (..)
'''
- # ---- My place
- #
- home = os.getcwd()
+ print('\nRun profile session - FIDLE 2021')
+ print(f'Version : {VERSION}')
+
+ chrono_start('main')
- # ---- Read profile
+ # ---- Retrieve profile
#
- config = profile['config']
+ profile = load_profile(profile_name)
+ config = profile['_metadata_']
notebooks = profile
- del notebooks['config']
+ del notebooks['_metadata_']
+ # ---- Create new ci_report
+ #
+ metadata = config
+ metadata['host'] = os.uname()[1]
+ metadata['profile'] = profile_name
+ if report_name is None:
+ report_name = config.CI_REPORT_JSON
+ report_name = os.path.abspath(report_name)
+ create_ci_report(report_name, metadata)
+
+ # ---- My place
+ #
+ home = os.getcwd()
+
# ---- Save figs or not ?
#
os.environ['FIDLE_SAVE_FIGS']=str(config['save_figs'])
@@ -157,9 +179,9 @@ def run_profile(profile, top_dir='..'):
# ---- Top chrono
#
- chrono_start()
- update_ci_report(id, notebook_dir, notebook_src, notebook_out, start=True)
-
+ chrono_start('nb')
+ update_ci_report(report_name, id, notebook_dir, notebook_src, notebook_out, start=True)
+
# ---- Try to run...
#
print(' Run notebook...',end='')
@@ -179,9 +201,9 @@ def run_profile(profile, top_dir='..'):
# ---- Top chrono
#
- chrono_stop()
- update_ci_report(id, notebook_dir, notebook_src, notebook_out, end=True, happy_end=happy_end)
- print(' Duration : ',chrono_delay() )
+ chrono_stop('nb')
+ update_ci_report(report_name, id, notebook_dir, notebook_src, notebook_out, end=True, happy_end=happy_end)
+ print(' Duration : ',chrono_get_delay('nb') )
# ---- Save notebook
#
@@ -193,43 +215,66 @@ def run_profile(profile, top_dir='..'):
#
os.chdir(home)
for env_name in to_unset:
- del os.environ[env_name]
+ del os.environ[env_name]
+
+ # ---- End of running
+ chrono_stop('main')
+ print('\nEnd of running process')
+ print(' Duration :', chrono_get_delay('main'))
+ complete_ci_report(report_name)
-def chrono_start():
+def chrono_start(id='default'):
global start_time
- start_time = datetime.datetime.now()
-
-def chrono_stop():
+ start_time[id] = datetime.datetime.now()
+
+def chrono_stop(id='default'):
global end_time
- end_time = datetime.datetime.now()
+ end_time[id] = datetime.datetime.now()
-def chrono_delay(in_seconds=False):
+def chrono_get_delay(id='default', in_seconds=False):
global start_time, end_time
- delta = end_time - start_time
+ delta = end_time[id] - start_time[id]
if in_seconds:
return round(delta.total_seconds(),2)
else:
delta = delta - datetime.timedelta(microseconds=delta.microseconds)
return str(delta)
+def chrono_get_start(id='default'):
+ global start_time
+ return start_time[id].strftime("%d/%m/%y %H:%M:%S")
+
+def chrono_get_end(id='default'):
+ global end_time
+ return end_time[id].strftime("%d/%m/%y %H:%M:%S")
+def reset_chrono():
+ global start_time, end_time
+ start_time, end_time = {},{}
+
-def reset_ci_report(verbose=True):
- data={}
- with open(config.CI_REPORT_JSON,'wt') as fp:
+def create_ci_report(filename, metadata, verbose=True):
+ metadata['start']=chrono_get_start('main')
+ data={ '_metadata_':metadata }
+ with open(filename,'wt') as fp:
json.dump(data,fp,indent=4)
- if verbose : print(f'Finished file has been reset.\n')
-
+ if verbose : print(f'\nCreate new ci report : {filename}')
-def update_ci_report(notebook_id, notebook_dir, notebook_src, notebook_out, start=False, end=False, happy_end=True):
+def complete_ci_report(filename, verbose=True):
+ with open(filename) as fp:
+ report = json.load(fp)
+ report['_metadata_']['end'] = chrono_get_end('main')
+ report['_metadata_']['duration'] = chrono_get_delay('main')
+ with open(filename,'wt') as fp:
+ json.dump(report,fp,indent=4)
+ if verbose : print(f'\nComplete ci report : {filename}')
+
+def update_ci_report(filename, notebook_id, notebook_dir, notebook_src, notebook_out, start=False, end=False, happy_end=True):
global start_time, end_time
-
- if not os.access(config.CI_REPORT_JSON, os.W_OK):
- reset_ci_report(verbose=True)
# ---- Load it
- with open(config.CI_REPORT_JSON) as fp:
+ with open(filename) as fp:
report = json.load(fp)
# ---- Update as a start
@@ -238,44 +283,51 @@ def update_ci_report(notebook_id, notebook_dir, notebook_src, notebook_out, star
report[notebook_id]['dir'] = notebook_dir
report[notebook_id]['src'] = notebook_src
report[notebook_id]['out'] = notebook_out
- report[notebook_id]['start'] = start_time.strftime("%d/%m/%y %H:%M:%S")
+ report[notebook_id]['start'] = chrono_get_start('nb')
report[notebook_id]['end'] = ''
report[notebook_id]['duration'] = 'Unfinished...'
report[notebook_id]['state'] = 'Unfinished...'
# ---- Update as an end
if end is True:
- report[notebook_id]['end'] = end_time.strftime("%d/%m/%y %H:%M:%S")
- report[notebook_id]['duration'] = chrono_delay()
+ report[notebook_id]['end'] = chrono_get_end('nb')
+ report[notebook_id]['duration'] = chrono_get_delay('nb')
report[notebook_id]['state'] = 'ok' if happy_end else 'ERROR'
report[notebook_id]['out'] = notebook_out # changeg in case of error
# ---- Save it
- with open(config.CI_REPORT_JSON,'wt') as fp:
+ with open(filename,'wt') as fp:
json.dump(report,fp,indent=4)
-def build_ci_report(display_output=True, save_html=True):
+def build_ci_report(report_name=None, display_output=True, save_html=True):
# ---- Load ci report
#
- with open(config.CI_REPORT_JSON) as infile:
+ if report_name is None:
+ report_name = config.CI_REPORT_JSON
+ with open(report_name) as infile:
ci_report = json.load( infile )
+ # ---- metadata
+ #
+ metadata=ci_report['_metadata_']
+ del ci_report['_metadata_']
+
+ metadata_md=''
+ metadata_html=''
+ for name,value in metadata.items():
+ metadata_md += f'**{name.title()}** : {value} \n'
+ metadata_html += f'<b>{name.title()}</b> : {value} <br>\n'
+
# ---- Create a nice DataFrame
#
df=pd.DataFrame(ci_report)
df=df.transpose()
df = df.rename_axis('id').reset_index()
-
- # ---- Change text columns, for nice html links
- #
- df['id'] = df.apply(lambda r: f"<a href='../{r['dir']}/{r['src']}'>{r['id']}</a>", axis=1)
- df['src'] = df.apply(lambda r: f"<a href='../{r['dir']}/{r['src']}'>{r['src']}</a>", axis=1)
- df['out'] = df.apply(lambda r: f"<a href='../{r['dir']}/{r['out']}'>{r['out']}</a>", axis=1)
-
- # ---- Add styles to be nice
+
+ # ---- Few styles to be nice
#
styles = [
dict(selector="td", props=[("font-size", "110%"), ("text-align", "left")]),
@@ -284,42 +336,60 @@ def build_ci_report(display_output=True, save_html=True):
def still_pending(v):
return 'background-color: OrangeRed; color:white' if v == 'ERROR' else ''
- output = df[df.columns.values].style.set_table_styles(styles).hide_index().applymap(still_pending)
+ # ---- Links version : display
+ #
+ if display_output:
+
+ ddf=df.copy()
+ ddf['id'] = ddf.apply(lambda r: f"<a href='../{r['dir']}/{r['src']}'>{r['id']}</a>", axis=1)
+ ddf['src'] = ddf.apply(lambda r: f"<a href='../{r['dir']}/{r['src']}'>{r['src']}</a>", axis=1)
+ ddf['out'] = ddf.apply(lambda r: f"<a href='../{r['dir']}/{r['out']}'>{r['out']}</a>", axis=1)
+ ddf.columns = [x.title() for x in ddf.columns]
+
+ output = ddf[ddf.columns.values].style.set_table_styles(styles).hide_index().applymap(still_pending)
+ display(Markdown('### About :'))
+ display(Markdown(metadata_md))
+ display(Markdown('### Details :'))
+ display(output)
- # ---- html report
+ # ---- Basic version : html report
#
if save_html:
- html = _get_html_report(output)
+
+ df.columns = [x.title() for x in df.columns]
+ output = df[df.columns.values].style.set_table_styles(styles).hide_index().applymap(still_pending)
+
+ html = _get_html_report(metadata_html, output)
with open(config.CI_REPORT_HTML, "wt") as fp:
fp.write(html)
-
- # ---- display output
- #
- if display_output:
- display(output)
-
+ display(Markdown('<br>HTML report saved as : [./logs/ci_report.html](./logs/ci_report.html)'))
+
-def _get_html_report(output):
+def _get_html_report(metadata_html, output):
with open('./img/00-Fidle-logo-01-80px.svg','r') as fp:
logo = fp.read()
- now = datetime.datetime.now().strftime("%A %-d %B %Y, %H:%M:%S")
html = f"""\
<html>
<head><title>FIDLE - CI Report</title></head>
+ <body>
<style>
body{{
font-family: sans-serif;
}}
+ div.title{{
+ font-size: 1.2em;
+ font-weight: bold;
+ padding: 15px 0px 10px 0px; }}
a{{
color: SteelBlue;
text-decoration:none;
}}
table{{
border-collapse : collapse;
- font-size : 80%
+ font-size : 0.9em;
}}
td{{
border-style: solid;
@@ -327,16 +397,15 @@ def _get_html_report(output):
border-color: lightgrey;
padding: 5px;
}}
- .header{{ padding:20px 0px 0px 30px; }}
- .result{{ padding:10px 0px 20px 30px; }}
+ .metadata{{ padding: 10px 0px 10px 30px; font-size: 0.9em; }}
+ .result{{ padding: 10px 0px 10px 30px; }}
</style>
- <body>
<br>Hi,
<p>Below is the result of the continuous integration tests of the Fidle project:</p>
- <div class="header"><b>Report date :</b> {now}</div>
- <div class="result">
- {output.render()}
- </div>
+ <div class='title'>About :</div>
+ <div class="metadata">{metadata_html}</div>
+ <div class='title'>Details :</div>
+ <div class="result">{output.render()}</div>
{logo}
diff --git a/fidle/logs/ci_report.html b/fidle/logs/ci_report.html
index 323f0ce..0832125 100644
--- a/fidle/logs/ci_report.html
+++ b/fidle/logs/ci_report.html
@@ -1,16 +1,21 @@
<html>
<head><title>FIDLE - CI Report</title></head>
+ <body>
<style>
body{
font-family: sans-serif;
}
+ div.title{
+ font-size: 1.2em;
+ font-weight: bold;
+ padding: 15px 0px 10px 0px; }
a{
color: SteelBlue;
text-decoration:none;
}
table{
border-collapse : collapse;
- font-size : 80%
+ font-size : 0.9em;
}
td{
border-style: solid;
@@ -18,57 +23,130 @@
border-color: lightgrey;
padding: 5px;
}
- .header{ padding:20px 0px 0px 30px; }
- .result{ padding:10px 0px 20px 30px; }
+ .metadata{ padding: 10px 0px 10px 30px; font-size: 0.9em; }
+ .result{ padding: 10px 0px 10px 30px; }
</style>
- <body>
<br>Hi,
<p>Below is the result of the continuous integration tests of the Fidle project:</p>
- <div class="header"><b>Report date :</b> Monday 11 January 2021, 01:07:55</div>
- <div class="result">
- <style type="text/css" >
- #T_58cf4_ td {
+ <div class='title'>About :</div>
+ <div class="metadata"><b>Version</b> : 1.0 <br>
+<b>Output_Tag</b> : ==done== <br>
+<b>Save_Figs</b> : True <br>
+<b>Description</b> : Smart profile, for cpu <br>
+<b>Host</b> : Oban <br>
+<b>Profile</b> : ./ci/smart_cpu.yml <br>
+<b>Start</b> : 11/01/21 16:38:18 <br>
+</div>
+ <div class='title'>Details :</div>
+ <div class="result"><style type="text/css" >
+ #T_28761_ td {
font-size: 110%;
text-align: left;
- } #T_58cf4_ th {
+ } #T_28761_ th {
font-size: 110%;
text-align: left;
- }#T_58cf4_row2_col7{
- background-color: OrangeRed;
- color: white;
- }</style><table id="T_58cf4_" ><thead> <tr> <th class="col_heading level0 col0" >id</th> <th class="col_heading level0 col1" >dir</th> <th class="col_heading level0 col2" >src</th> <th class="col_heading level0 col3" >out</th> <th class="col_heading level0 col4" >start</th> <th class="col_heading level0 col5" >end</th> <th class="col_heading level0 col6" >duration</th> <th class="col_heading level0 col7" >state</th> </tr></thead><tbody>
+ }</style><table id="T_28761_" ><thead> <tr> <th class="col_heading level0 col0" >Id</th> <th class="col_heading level0 col1" >Dir</th> <th class="col_heading level0 col2" >Src</th> <th class="col_heading level0 col3" >Out</th> <th class="col_heading level0 col4" >Start</th> <th class="col_heading level0 col5" >End</th> <th class="col_heading level0 col6" >Duration</th> <th class="col_heading level0 col7" >State</th> </tr></thead><tbody>
<tr>
- <td id="T_58cf4_row0_col0" class="data row0 col0" ><a href='../LinearReg/01-Linear-Regression.ipynb'>LINR1</a></td>
- <td id="T_58cf4_row0_col1" class="data row0 col1" >LinearReg</td>
- <td id="T_58cf4_row0_col2" class="data row0 col2" ><a href='../LinearReg/01-Linear-Regression.ipynb'>01-Linear-Regression.ipynb</a></td>
- <td id="T_58cf4_row0_col3" class="data row0 col3" ><a href='../LinearReg/01-Linear-Regression==done==.ipynb'>01-Linear-Regression==done==.ipynb</a></td>
- <td id="T_58cf4_row0_col4" class="data row0 col4" >11/01/21 01:07:35</td>
- <td id="T_58cf4_row0_col5" class="data row0 col5" >11/01/21 01:07:39</td>
- <td id="T_58cf4_row0_col6" class="data row0 col6" >0:00:04</td>
- <td id="T_58cf4_row0_col7" class="data row0 col7" >ok</td>
+ <td id="T_28761_row0_col0" class="data row0 col0" >LINR1</td>
+ <td id="T_28761_row0_col1" class="data row0 col1" >LinearReg</td>
+ <td id="T_28761_row0_col2" class="data row0 col2" >01-Linear-Regression.ipynb</td>
+ <td id="T_28761_row0_col3" class="data row0 col3" >01-Linear-Regression==done==.ipynb</td>
+ <td id="T_28761_row0_col4" class="data row0 col4" >11/01/21 16:38:18</td>
+ <td id="T_28761_row0_col5" class="data row0 col5" >11/01/21 16:38:21</td>
+ <td id="T_28761_row0_col6" class="data row0 col6" >0:00:03</td>
+ <td id="T_28761_row0_col7" class="data row0 col7" >ok</td>
+ </tr>
+ <tr>
+ <td id="T_28761_row1_col0" class="data row1 col0" >GRAD1</td>
+ <td id="T_28761_row1_col1" class="data row1 col1" >LinearReg</td>
+ <td id="T_28761_row1_col2" class="data row1 col2" >02-Gradient-descent.ipynb</td>
+ <td id="T_28761_row1_col3" class="data row1 col3" >02-Gradient-descent==done==.ipynb</td>
+ <td id="T_28761_row1_col4" class="data row1 col4" >11/01/21 16:38:21</td>
+ <td id="T_28761_row1_col5" class="data row1 col5" >11/01/21 16:38:28</td>
+ <td id="T_28761_row1_col6" class="data row1 col6" >0:00:06</td>
+ <td id="T_28761_row1_col7" class="data row1 col7" >ok</td>
+ </tr>
+ <tr>
+ <td id="T_28761_row2_col0" class="data row2 col0" >POLR1</td>
+ <td id="T_28761_row2_col1" class="data row2 col1" >LinearReg</td>
+ <td id="T_28761_row2_col2" class="data row2 col2" >03-Polynomial-Regression.ipynb</td>
+ <td id="T_28761_row2_col3" class="data row2 col3" >03-Polynomial-Regression==done==.ipynb</td>
+ <td id="T_28761_row2_col4" class="data row2 col4" >11/01/21 16:38:28</td>
+ <td id="T_28761_row2_col5" class="data row2 col5" >11/01/21 16:38:31</td>
+ <td id="T_28761_row2_col6" class="data row2 col6" >0:00:03</td>
+ <td id="T_28761_row2_col7" class="data row2 col7" >ok</td>
+ </tr>
+ <tr>
+ <td id="T_28761_row3_col0" class="data row3 col0" >LOGR1</td>
+ <td id="T_28761_row3_col1" class="data row3 col1" >LinearReg</td>
+ <td id="T_28761_row3_col2" class="data row3 col2" >04-Logistic-Regression.ipynb</td>
+ <td id="T_28761_row3_col3" class="data row3 col3" >04-Logistic-Regression==done==.ipynb</td>
+ <td id="T_28761_row3_col4" class="data row3 col4" >11/01/21 16:38:31</td>
+ <td id="T_28761_row3_col5" class="data row3 col5" >11/01/21 16:38:35</td>
+ <td id="T_28761_row3_col6" class="data row3 col6" >0:00:03</td>
+ <td id="T_28761_row3_col7" class="data row3 col7" >ok</td>
+ </tr>
+ <tr>
+ <td id="T_28761_row4_col0" class="data row4 col0" >PER57</td>
+ <td id="T_28761_row4_col1" class="data row4 col1" >IRIS</td>
+ <td id="T_28761_row4_col2" class="data row4 col2" >01-Simple-Perceptron.ipynb</td>
+ <td id="T_28761_row4_col3" class="data row4 col3" >01-Simple-Perceptron==done==.ipynb</td>
+ <td id="T_28761_row4_col4" class="data row4 col4" >11/01/21 16:38:35</td>
+ <td id="T_28761_row4_col5" class="data row4 col5" >11/01/21 16:38:38</td>
+ <td id="T_28761_row4_col6" class="data row4 col6" >0:00:02</td>
+ <td id="T_28761_row4_col7" class="data row4 col7" >ok</td>
+ </tr>
+ <tr>
+ <td id="T_28761_row5_col0" class="data row5 col0" >BHPD1</td>
+ <td id="T_28761_row5_col1" class="data row5 col1" >BHPD</td>
+ <td id="T_28761_row5_col2" class="data row5 col2" >01-DNN-Regression.ipynb</td>
+ <td id="T_28761_row5_col3" class="data row5 col3" >01-DNN-Regression==done==.ipynb</td>
+ <td id="T_28761_row5_col4" class="data row5 col4" >11/01/21 16:38:38</td>
+ <td id="T_28761_row5_col5" class="data row5 col5" >11/01/21 16:38:51</td>
+ <td id="T_28761_row5_col6" class="data row5 col6" >0:00:13</td>
+ <td id="T_28761_row5_col7" class="data row5 col7" >ok</td>
+ </tr>
+ <tr>
+ <td id="T_28761_row6_col0" class="data row6 col0" >BHPD2</td>
+ <td id="T_28761_row6_col1" class="data row6 col1" >BHPD</td>
+ <td id="T_28761_row6_col2" class="data row6 col2" >02-DNN-Regression-Premium.ipynb</td>
+ <td id="T_28761_row6_col3" class="data row6 col3" >02-DNN-Regression-Premium==done==.ipynb</td>
+ <td id="T_28761_row6_col4" class="data row6 col4" >11/01/21 16:38:51</td>
+ <td id="T_28761_row6_col5" class="data row6 col5" >11/01/21 16:39:04</td>
+ <td id="T_28761_row6_col6" class="data row6 col6" >0:00:13</td>
+ <td id="T_28761_row6_col7" class="data row6 col7" >ok</td>
+ </tr>
+ <tr>
+ <td id="T_28761_row7_col0" class="data row7 col0" >MNIST1</td>
+ <td id="T_28761_row7_col1" class="data row7 col1" >MNIST</td>
+ <td id="T_28761_row7_col2" class="data row7 col2" >01-DNN-MNIST.ipynb</td>
+ <td id="T_28761_row7_col3" class="data row7 col3" >01-DNN-MNIST==done==.ipynb</td>
+ <td id="T_28761_row7_col4" class="data row7 col4" >11/01/21 16:39:04</td>
+ <td id="T_28761_row7_col5" class="data row7 col5" >11/01/21 16:39:42</td>
+ <td id="T_28761_row7_col6" class="data row7 col6" >0:00:37</td>
+ <td id="T_28761_row7_col7" class="data row7 col7" >ok</td>
</tr>
<tr>
- <td id="T_58cf4_row1_col0" class="data row1 col0" ><a href='../IRIS/01-Simple-Perceptron.ipynb'>PER57</a></td>
- <td id="T_58cf4_row1_col1" class="data row1 col1" >IRIS</td>
- <td id="T_58cf4_row1_col2" class="data row1 col2" ><a href='../IRIS/01-Simple-Perceptron.ipynb'>01-Simple-Perceptron.ipynb</a></td>
- <td id="T_58cf4_row1_col3" class="data row1 col3" ><a href='../IRIS/01-Simple-Perceptron==done==.ipynb'>01-Simple-Perceptron==done==.ipynb</a></td>
- <td id="T_58cf4_row1_col4" class="data row1 col4" >11/01/21 01:07:39</td>
- <td id="T_58cf4_row1_col5" class="data row1 col5" >11/01/21 01:07:42</td>
- <td id="T_58cf4_row1_col6" class="data row1 col6" >0:00:02</td>
- <td id="T_58cf4_row1_col7" class="data row1 col7" >ok</td>
+ <td id="T_28761_row8_col0" class="data row8 col0" >GTSRB1</td>
+ <td id="T_28761_row8_col1" class="data row8 col1" >GTSRB</td>
+ <td id="T_28761_row8_col2" class="data row8 col2" >01-Preparation-of-data.ipynb</td>
+ <td id="T_28761_row8_col3" class="data row8 col3" >01-Preparation-of-data==done==.ipynb</td>
+ <td id="T_28761_row8_col4" class="data row8 col4" >11/01/21 16:39:42</td>
+ <td id="T_28761_row8_col5" class="data row8 col5" >11/01/21 16:41:06</td>
+ <td id="T_28761_row8_col6" class="data row8 col6" >0:01:24</td>
+ <td id="T_28761_row8_col7" class="data row8 col7" >ok</td>
</tr>
<tr>
- <td id="T_58cf4_row2_col0" class="data row2 col0" ><a href='../GTSRB/02-First-convolutions.ipynb'>GTSRB2</a></td>
- <td id="T_58cf4_row2_col1" class="data row2 col1" >GTSRB</td>
- <td id="T_58cf4_row2_col2" class="data row2 col2" ><a href='../GTSRB/02-First-convolutions.ipynb'>02-First-convolutions.ipynb</a></td>
- <td id="T_58cf4_row2_col3" class="data row2 col3" ><a href='../GTSRB/02-First-convolutions==ERROR==.ipynb'>02-First-convolutions==ERROR==.ipynb</a></td>
- <td id="T_58cf4_row2_col4" class="data row2 col4" >11/01/21 01:07:42</td>
- <td id="T_58cf4_row2_col5" class="data row2 col5" >11/01/21 01:07:44</td>
- <td id="T_58cf4_row2_col6" class="data row2 col6" >0:00:02</td>
- <td id="T_58cf4_row2_col7" class="data row2 col7" >ERROR</td>
+ <td id="T_28761_row9_col0" class="data row9 col0" >GTSRB2</td>
+ <td id="T_28761_row9_col1" class="data row9 col1" >GTSRB</td>
+ <td id="T_28761_row9_col2" class="data row9 col2" >02-First-convolutions.ipynb</td>
+ <td id="T_28761_row9_col3" class="data row9 col3" >02-First-convolutions==done==.ipynb</td>
+ <td id="T_28761_row9_col4" class="data row9 col4" >11/01/21 16:41:06</td>
+ <td id="T_28761_row9_col5" class="data row9 col5" ></td>
+ <td id="T_28761_row9_col6" class="data row9 col6" >Unfinished...</td>
+ <td id="T_28761_row9_col7" class="data row9 col7" >Unfinished...</td>
</tr>
- </tbody></table>
- </div>
+ </tbody></table></div>
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 140.2164 40.848" width="80px"><title>00-Fidle-logo-01</title><g id="Calque_2" data-name="Calque 2"><g id="Calque_4" data-name="Calque 4"><path d="M46.1913,31.74a12.9222,12.9222,0,0,0,5.2755-1.77,6.4763,6.4763,0,0,1,2.3629-.9239,14.6364,14.6364,0,0,0-5.7616-16.4446,17.0565,17.0565,0,0,0-11.8732-2.0051c-4.1719.69-8.4957,3.8461-10.189,5.2622-1.0189.8536-13.1385,12.3424-18.1936,10.0527-3.42-1.5492,2.6862-7.1873-.1144-12.3393a.2236.2236,0,0,0-.373-.0248c-1.4257,1.9233-2.8193,4.2317-4.7179,3.1953-.8482-.4632-1.6116-1.9422-2.2-2.8775A.2216.2216,0,0,0,0,13.9917,23.35,23.35,0,0,0,5.87,28.2417a35.3776,35.3776,0,0,0,24.34,12.518c5.3439.5321,18.0193-1.1527,23.0835-10.2646a12.7681,12.7681,0,0,0-1.2217.6066,14.2177,14.2177,0,0,1-5.7629,1.9167c-.1761.0163-.3511.0236-.5261.0236a10.1733,10.1733,0,0,1-5.7446-2.303,1.0764,1.0764,0,1,1,.8227-1.0443c0,.0176-.0042.0339-.0054.0515C41.8966,30.5423,44.0669,31.9474,46.1913,31.74ZM30.0385,36.5091a19.6093,19.6093,0,0,1-4.6162.8385c-1.0425.0006-1.476-.2954-1.6824-.7392-.5431-1.1678,1.4136-2.8563,3.1493-4.0677a.6418.6418,0,1,1,.7343,1.0528,10.5781,10.5781,0,0,0-2.651,2.4368c.339.0732,1.44.12,4.733-.7616a.6422.6422,0,0,1,.333,1.24Zm14.87-15.6442a2.4512,2.4512,0,0,1,2.38,2.3617,1.6015,1.6015,0,1,0-1.4179,2.34,1.6573,1.6573,0,0,0,.2973-.03,2.28,2.28,0,0,1-1.2593.3875,2.5337,2.5337,0,0,1,0-5.06ZM36.6423,4.436A1.2835,1.2835,0,0,0,37.1466,6.18c.6211.342,1.9294-.402,2.7231.7071.4122.5763-.8627-2.6129-1.4839-2.9556A1.2827,1.2827,0,0,0,36.6423,4.436Zm6.5389.1374c-1.5995.9378-1.8961,4.8154-1.4838,4.2391a7.2989,7.2989,0,0,1,2.7231-1.9906,1.2837,1.2837,0,0,0-1.2393-2.2485ZM41.5587.2981c-.8179.9462-.2579,3.4-.1114,2.95a5.2169,5.2169,0,0,1,1.3174-1.8537A.8415.8415,0,0,0,42.7441.2054.8332.8332,0,0,0,41.5587.2981Z" style="fill:#e12229"/><path d="M65.6671,13.7493H77.3946V15.158H67.3223v9.4379h9.2271v1.4087H67.3223v11.481H65.6671Z" style="fill:#808285"/><path d="M83.5909,13.7493V37.4856H81.9356V13.7493Z" style="fill:#808285"/><path d="M89.3658,14.0662a39.0353,39.0353,0,0,1,6.0576-.4932c4.3316,0,7.607,1.1621,9.5791,3.24a11.2256,11.2256,0,0,1,2.958,8.2056,13.0738,13.0738,0,0,1-3.0991,9.0156c-2.1128,2.2891-5.67,3.6275-10.248,3.6275a50.7148,50.7148,0,0,1-5.2476-.2115Zm1.6553,22.0107a29.8576,29.8576,0,0,0,3.8388.1763c7.607,0,11.375-4.2617,11.375-11.1289.0352-6.022-3.31-10.1426-10.9174-10.1426a25.2377,25.2377,0,0,0-4.2964.352Z" style="fill:#808285"/><path d="M112.15,13.7493h1.6553V36.0769h10.6006v1.4087H112.15Z" style="fill:#808285"/><path d="M139.0894,25.6877h-9.5088V36.0769h10.6358v1.4087h-12.291V13.7493h11.7275V15.158H129.5806v9.1211h9.5088Z" style="fill:#808285"/></g></g></svg>
diff --git a/fidle/logs/ci_report.json b/fidle/logs/ci_report.json
deleted file mode 100644
index 2e8a686..0000000
--- a/fidle/logs/ci_report.json
+++ /dev/null
@@ -1,29 +0,0 @@
-{
- "LINR1": {
- "dir": "LinearReg",
- "src": "01-Linear-Regression.ipynb",
- "out": "01-Linear-Regression==done==.ipynb",
- "start": "11/01/21 01:07:35",
- "end": "11/01/21 01:07:39",
- "duration": "0:00:04",
- "state": "ok"
- },
- "PER57": {
- "dir": "IRIS",
- "src": "01-Simple-Perceptron.ipynb",
- "out": "01-Simple-Perceptron==done==.ipynb",
- "start": "11/01/21 01:07:39",
- "end": "11/01/21 01:07:42",
- "duration": "0:00:02",
- "state": "ok"
- },
- "GTSRB2": {
- "dir": "GTSRB",
- "src": "02-First-convolutions.ipynb",
- "out": "02-First-convolutions==ERROR==.ipynb",
- "start": "11/01/21 01:07:42",
- "end": "11/01/21 01:07:44",
- "duration": "0:00:02",
- "state": "ERROR"
- }
-}
\ No newline at end of file
diff --git a/fidle/logs/ci_report_smart.json b/fidle/logs/ci_report_smart.json
new file mode 100644
index 0000000..100f922
--- /dev/null
+++ b/fidle/logs/ci_report_smart.json
@@ -0,0 +1,148 @@
+{
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+ "duration": "0:04:22",
+ "state": "ok"
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+ }
+}
\ No newline at end of file
--
GitLab