From 1c6e9453063fe894342142d5d8edf8e720984206 Mon Sep 17 00:00:00 2001 From: Robin Cole Date: Mon, 30 Dec 2019 10:25:59 +0000 Subject: [PATCH 1/7] Add docker instructions --- README.md | 647 +---------------------------- notebooks/Usage of detective.ipynb | 57 ++- 2 files changed, 56 insertions(+), 648 deletions(-) diff --git a/README.md b/README.md index 40b1392..61595fa 100644 --- a/README.md +++ b/README.md @@ -5,9 +5,20 @@ [![Sponsor](https://img.shields.io/badge/sponsor-%F0%9F%92%96-green)](https://github.com/sponsors/robmarkcole) ## Introduction -The `HASS-data-detective` package, which we may also refer to as 'detective' or 'data-detective', provides classes and functions to help you explore and analyse the data in your Home Assistant database. If you are using [Hassio](https://www.home-assistant.io/hassio/), it will automatically discover your sqlite database and by default collect information about the entities in your database. The recommended workflow is to then load the database content into a [Pandas dataframe](https://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.DataFrame.html) using the `fetch_all_data` method. This is recommended as all of the work of formatting the data for analysis is done up front, but it could take a couple of minutes. However if you have a very large database and cannot load it into a Pandas dataframe due to memory limits, you will have to adopt a different workflow where you query and process only the data you are interested in. [Usage of detective.ipynb](https://github.com/robmarkcole/HASS-data-detective/tree/master/usage) shows examples of using the detective with both of these workflows. +The `HASS-data-detective` package provides classes and functions to help you explore and analyse the data in your Home Assistant database. If you are using [Hassio](https://www.home-assistant.io/hassio/), it will automatically discover your database and by default collect information about the entities in your database. [Usage of detective.ipynb](https://github.com/robmarkcole/HASS-data-detective/tree/master/usage) shows examples of using the package. -**Note** that not all python packages can be installed on Hassio yet - [scipy](https://github.com/scipy/scipy) is in this category. Notable packages which have scipy as a dependency include Seaborn. +## Run with Docker locally +You can use the detective package within a Docker container o there is no need to install anything on your machine. Note this will pull the [jupyter/scipy-notebook](https://github.com/jupyter/docker-stacks/blob/master/scipy-notebook/Dockerfile) image the first time you run it, but subsequent runs will be much faster. + +Run: +``` +docker run --rm -p 8888:8888 -e JUPYTER_ENABLE_LAB=yes -v "$PWD":/home/jovyan/work jupyter/scipy-notebook +``` +Follow the URL printed to the terminal, which opens a Jupyter lab instance. Open a new terminal in Jupyter lab and navigate to the `work` directory containing `setup.py`, then run: + ``` + ~/work$ pip install . + ``` +You can now navigate to the notebooks directory and start using the detective package. ## Try out detective online You can try out detective online without installing anything. If you click on the 'launch binder' button above, detective will be started in a Docker container online using the [Binderhub](https://binderhub.readthedocs.io) service. Run the `Usage of detective` notebook to explore detective, and you can also use the `Upload` button to upload your own `home-assistant_v2.db` database file for analysis. Note that all data is deleted when the container closes down, so this service is just for trying out detective. @@ -16,638 +27,6 @@ You can try out detective online without installing anything. If you click on th You can either: `pip install HASS-data-detective` for the latest released version from pypi, or `pip install git+https://github.com/robmarkcole/HASS-data-detective.git --upgrade` for the bleeding edge version from github. Alternatively if you wish to contribute to the development of detective, clone this repository and install in editable mode with `pip install -e .` Note that the HASS-data-detective pulls in 'matplotlib' as dependency and that in turn will require 'libfreetype6-dev' to be present on systems with `aarch64` to build successfully. -## Initialise HassDatabase -Detective first needs to know the location of your database in order to initialise the `HassDatabase` object which handles communication with your database. If you are using the default sqlite database and have the `home-assistant_v2.db` file locally just supply the path: - -```python -from detective.core import HassDatabase - -db = HassDatabase('sqlite:////' + 'path_to/home-assistant_v2.db') # on hassio path_to is config -``` - -If you are running a database server for Home Assistant (e.g. mysql) you need to initialise the `HassDatabase` directly with [the correct connection string](https://www.home-assistant.io/components/recorder/#custom-database-engines), for example: - -```python -db = HassDatabase("mysql://scott:tiger@localhost/test") -``` - -Alternatively if you are using detective on Hassio, there are two possible ways to initialise the `HassDatabase`. The easiest is with `db_from_hass_config`. This will initialise a `HassDatabase` based on the the information found in your Home Assistant config folder, which it will automatically discover: - -```python -from detective.core import db_from_hass_config - -db = db_from_hass_config() # Auto detect -``` - -Alternatively it's possible to pass the path in: -```python -db = db_from_hass_config("/home/homeassistant/config") # Pass in path to config -``` - -Initialisation of `HassDatabase` accepts keyword arguments to influence how the object is initialised: - -| Argument | Description | -| -------- | ----------- | -| `fetch_entities` | Boolean to indicate if we should fetch the entities when constructing the database. If not, you will have to call `db.fetch_entities()` at a later stage before being able to use `self.entities` and `self.domains`. - -By default with `fetch_entities=True`, on initialisation `HassDatabase` will query the database and list the available domains and their entities in its `domains` and `entities` attributes: - -```python -db.domains -``` - - ['persistent_notification', - 'remote', - 'script', - 'camera', - 'group', - 'light', - 'zone', - 'alarm_control_panel', - 'switch', - 'automation', - 'media_player', - 'device_tracker', - 'binary_sensor', - 'sensor', - 'input_select', - 'updater', - 'sun'] - -The attribute `entities` is a dictionary accessed via a domain name: - -```python -db.entities['binary_sensor'] -``` - - ['binary_sensor.motion_at_home', - 'binary_sensor.living_room_motion_sensor', - 'binary_sensor.in_bed_bayesian', - 'binary_sensor.hall_motion_sensor', - 'binary_sensor.bedroom_motion_sensor', - 'binary_sensor.blink_armed_status', - 'binary_sensor.blink_blink_camera_percy_motion_enabled', - 'binary_sensor.workday_sensor', - 'binary_sensor.living_room_nest_protect_online', - 'binary_sensor.bayesianbinary'] - - -### Simple query -Note that at this point we still haven't downloaded any actual data. Lets query a single sensor using SQL and demonstrate the data formatting steps performed by detective, in order to convery raw data into a format suitable for plotting and analysing: - - -```python -query = text( - """ - SELECT state, last_changed - FROM states - WHERE entity_id in ('sensor.hall_light_sensor') - AND NOT state='unknown' - """ - ) -response = db.perform_query(query) - -df = pd.DataFrame(response.fetchall()) # Convert the response to a dataframe - -df.columns = ['state', 'last_changed'] # Set the columns - -df = df.set_index('last_changed') # Set the index on datetime - -df.index = pd.to_datetime(df.index) # Convert string to datetime - -df = df.mask(df.eq('None')).dropna().astype(float) # Convert state strings to floats for plotting -``` -We can then plot the data: -```python -df.plot(figsize=(16, 6)); -``` - -![png](https://github.com/robmarkcole/HASS-data-detective/blob/master/docs/images/output_13_0.png) - - -## Fetch all raw data -Use `fetch_all_data` to cache all your raw database data into a Pandas dataframe in memory. It is useful to keep this raw data in case you mess up your processed data and don't want to go through the process of fetching the raw data all over again. - -```python -%%time -db.fetch_all_data() -``` - - Querying the database, this could take a while - master_df created successfully. - CPU times: user 11.7 s, sys: 12.8 s, total: 24.4 s - Wall time: 1min 1s - -We now have the raw data in a Pandas dataframe on the `master_df` attribute. We must use another class to process this data into a format suitable for plotting and processing. There are separate classes for numerical and binary sensors, which allows them to both implement a `plot` method correctly. - -## NumericalSensors class -The `NumericalSensors` class is for formatting numerical data. Create a dataframe with formatted numerical data like so: - -```python -sensors_num_df = detective.NumericalSensors(db.master_df) -``` - -We can access the list of sensor entities: - -```python -sensors_num_df.entities[0:10] -``` - - ['sensor.next_train_to_wat', - 'sensor.next_bus_to_new_malden', - 'sensor.darksky_sensor_temperature', - 'sensor.darksky_sensor_precip_probability', - 'sensor.iphone_battery_level', - 'sensor.robins_iphone_battery_level', - 'sensor.blink_blink_camera_percy_temperature', - 'sensor.blink_blink_camera_percy_notifications', - 'sensor.next_train_in', - 'sensor.home_to_waterloo'] - -Now lets look at the Pandas dataframe which is on the `data` attribute: - -```python -sensors_num_df.data.head() -``` - -
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
entitysensor.average_indoor_tempsensor.bedroom_light_sensorsensor.bedroom_temperaturesensor.blink_blink_camera_percy_notificationssensor.blink_blink_camera_percy_temperaturesensor.bme680air_qualsensor.bme680humiditysensor.bme680pressuresensor.bme680temperaturesensor.breaches_fredallcardgmailcom...sensor.next_train_to_watsensor.next_train_to_wimsensor.remote_living_room_buttonsensor.robins_iphone_battery_levelsensor.speedtest_downloadsensor.volume_used_volume_1sensor.wipy_humiditysensor.wipy_memorysensor.wipy_temperaturesensor.work_to_home
last_changed
2017-10-28 06:48:00.14337720.215621.018.891.021.098.5143.581033.9321.070.0...1125.087.01002.094.036.3720.714.038112.032.025.0
2017-10-28 06:48:01.06092220.215621.018.891.021.098.5143.501033.9321.070.0...1125.087.01002.094.036.3720.714.038112.032.025.0
2017-10-28 06:48:01.06941620.215621.018.891.021.098.5143.501033.9321.060.0...1125.087.01002.094.036.3720.714.038112.032.025.0
2017-10-28 06:48:01.07678420.215621.018.891.021.098.5143.501033.9521.060.0...1125.087.01002.094.036.3720.714.038112.032.025.0
2017-10-28 06:48:01.07995020.215621.018.891.021.098.5443.501033.9521.060.0...1125.087.01002.094.036.3720.714.038112.032.025.0
-

5 rows × 52 columns

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- -Lets check for correlations in the data: - -```python -corrs = sensors_num_df.correlations() - -corrs[(corrs['value'] > 0.8) | (corrs['value'] < -0.8)] -``` - -
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value
sensor.next_train_in-sensor.next_train_to_wim0.999961
sensor.iphone_battery_level-sensor.robins_iphone_battery_level0.923446
sensor.bme680air_qual-sensor.bme680pressure0.862630
sensor.mean_temperature-sensor.bedroom_temperature0.814340
sensor.living_room_temperature-sensor.bme680temperature0.801827
sensor.bme680pressure-sensor.darksky_sensor_temperature-0.810146
sensor.bme680humidity-sensor.bme680pressure-0.862619
sensor.memory_usage_real-sensor.volume_used_volume_1-0.902779
sensor.bme680humidity-sensor.bme680air_qual-0.999989
-
- -Unsurprisingly the mean temperature is strongly correlated with all of the temperature sensors. Interestingly my iphone battery level is somewhat inversely correlated with the travel time from home to waterloo, which gets longer late at night when my battery level is more likely to be low. - -#### Plot numerical sensor data -We can pass a single entity to plot: - -```python -sensors_num_df.plot('sensor.darksky_sensor_temperature') -``` - -![png](https://github.com/robmarkcole/HASS-data-detective/blob/master/docs/images/output_32_0.png) - -We can pass a list of entities to plot: - -```python -to_plot = ['sensor.living_room_temperature', - 'sensor.bedroom_temperature', - 'sensor.darksky_sensor_temperature'] - -sensors_num_df.plot(to_plot) -``` - -![png](https://github.com/robmarkcole/HASS-data-detective/blob/master/docs/images/output_34_0.png) - - -## BinarySensors class -The `BinarySensors` class is for binary sensor data with on/off states. - -```python -sensors_binary_df = detective.BinarySensors(db.master_df) - -sensors_binary_df.entities -``` - - ['binary_sensor.workday_sensor', - 'binary_sensor.blink_blink_camera_percy_motion_enabled', - 'binary_sensor.living_room_nest_protect_online', - 'binary_sensor.blink_armed_status', - 'binary_sensor.hall_motion_sensor', - 'binary_sensor.bedroom_motion_sensor', - 'binary_sensor.living_room_motion_sensor', - 'binary_sensor.motion_at_home', - 'binary_sensor.bayesianbinary', - 'binary_sensor.in_bed_bayesian'] - - - We can plot a single binary sensor: - -```python -sensors_binary_df.plot('binary_sensor.motion_at_home') -``` - -![png](https://github.com/robmarkcole/HASS-data-detective/blob/master/docs/images/output_43_0.png) - - -OK now we have demonstrated the basic classes and functionality of detective, lets move on to some analysis! - -### Day of week analysis -Lets analyse the **motion_at_home** binary sensor data. We first create features from the raw data for the day-of-the-week and time categories, then perform analysis on these features. - -```python -from detective.time import is_weekday, time_category - -motion_df = sensors_binary_df.data[['binary_sensor.motion_at_home']] # Must pass a list to return correctly indexed df - -motion_df['weekday'] = motion_df.index.weekday_name # get the weekday name - -motion_df['is_weekday'] = motion_df.index.map(lambda x: is_weekday(x)) # determine if day is a weekday or not - -motion_df = motion_df[motion_df['binary_sensor.motion_at_home'] == True] # Keep only true detection events - -motion_df['time_category'] = motion_df.index.map(lambda x: time_category(x)) # Generate a time_category feature - -motion_df.head() -``` - -
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entitybinary_sensor.motion_at_homeweekdayis_weekdaytime_category
last_changed
2017-08-07 20:08:17.810800TrueMondayTrueevening
2017-08-07 20:08:26.921077TrueMondayTrueevening
2017-08-07 20:10:20.017217TrueMondayTrueevening
2017-08-07 20:11:31.024414TrueMondayTrueevening
2017-08-07 20:12:02.027471TrueMondayTrueevening
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- -Lets now do a [groupby](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.groupby.html) operation: -```python -motion_df['binary_sensor.motion_at_home'].groupby(motion_df['is_weekday']).describe()['count'] -``` - - is_weekday - False 4452 - True 10862 - Name: count, dtype: object - -```python -motion_df_gb = motion_df['binary_sensor.motion_at_home'].groupby([motion_df['weekday'], motion_df['time_category']]).sum().unstack() - -motion_df_gb.fillna(value=0, inplace=True) # Replace NaN with 0 - -motion_df_gb = motion_df_gb.astype('int') # Ints rather than floats - -motion_df_gb = motion_df_gb.T - -motion_df_gb -``` - -
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weekdayFridayMondaySaturdaySundayThursdayTuesdayWednesday
time_category
daytime1000690962631844880800
evening394599239496453532545
morning8396881047833664655619
night9293131113163149163
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- -We see that there is a lot of activity on saturday mornings, when I hoover the house. We can also visualise this data using Seaborn. - -#### Seaborn -Seaborn is a python package for doing statistical plots. Unfortunately it is not yet supported on Hassio, but if you are on a Mac or PC you can use it like follows: - -```python -import seaborn as sns -import matplotlib.pyplot as plt - -fig, ax = plt.subplots(figsize=(14, 6)) -days_list = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'] -times_list = ['morning', 'daytime', 'evening', 'night'] -ax = sns.heatmap(motion_df_gb[days_list].loc[times_list], annot=True, linewidths=.5, fmt="d", ax=ax, cmap='Reds'); -ax.set_title('Activity at home by day and time category') -#fig.savefig('heatmap.jpg') -``` - -![png](https://github.com/robmarkcole/HASS-data-detective/blob/master/docs/images/output_54_1.png) - ### Auth helpers When querying the database, you might end up with user IDs and refresh token IDs. We've included a helper to help load the auth from Home Assistant and help you process this data. diff --git a/notebooks/Usage of detective.ipynb b/notebooks/Usage of detective.ipynb index bd061d0..5c18fef 100644 --- a/notebooks/Usage of detective.ipynb +++ b/notebooks/Usage of detective.ipynb @@ -57,8 +57,8 @@ "text": [ "Successfully connected to database sqlite:///home-assistant_v2.db\n", "There are 5 entities with data\n", - "CPU times: user 13 ms, sys: 7.52 ms, total: 20.5 ms\n", - "Wall time: 29.2 ms\n" + "CPU times: user 80 ms, sys: 0 ns, total: 80 ms\n", + "Wall time: 156 ms\n" ] } ], @@ -75,7 +75,7 @@ { "data": { "text/plain": [ - "['sensor', 'automation', 'history_graph', 'camera', 'group']" + "['group', 'automation', 'history_graph', 'sensor', 'camera']" ] }, "execution_count": 4, @@ -127,12 +127,14 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -322,8 +324,8 @@ "text": [ "Querying the database, this could take a while\n", "master_df created successfully.\n", - "CPU times: user 21.2 ms, sys: 4.02 ms, total: 25.3 ms\n", - "Wall time: 24.9 ms\n" + "CPU times: user 10 ms, sys: 20 ms, total: 30 ms\n", + "Wall time: 92.1 ms\n" ] } ], @@ -492,7 +494,30 @@ "cell_type": "code", "execution_count": 13, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.7/site-packages/detective/core.py:261: FutureWarning: \n", + ".ix is deprecated. Please use\n", + ".loc for label based indexing or\n", + ".iloc for positional indexing\n", + "\n", + "See the documentation here:\n", + "http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#ix-indexer-is-deprecated\n", + " corrs.append(corr_df.ix[i, j])\n", + "/opt/conda/lib/python3.7/site-packages/pandas/core/indexing.py:961: FutureWarning: \n", + ".ix is deprecated. Please use\n", + ".loc for label based indexing or\n", + ".iloc for positional indexing\n", + "\n", + "See the documentation here:\n", + "http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#ix-indexer-is-deprecated\n", + " return getattr(section, self.name)[new_key]\n" + ] + } + ], "source": [ "corrs = sensors_num_df.correlations()" ] @@ -584,12 +609,14 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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\n", + "image/png": 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\n", "text/plain": [ "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -655,9 +684,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.5" + "version": "3.7.3" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } From 67f4563bf8b5463ae2eede72b01be936f878c1e9 Mon Sep 17 00:00:00 2001 From: Robin Cole Date: Mon, 30 Dec 2019 16:21:18 +0000 Subject: [PATCH 2/7] adds devcontainer --- .devcontainer/Dockerfile | 55 +++++++++++++++++++++++++++++++++ .devcontainer/devcontainer.json | 33 ++++++++++++++++++++ requirements.txt | 8 +++++ requirements_test.txt | 8 ----- setup.py | 13 ++------ 5 files changed, 99 insertions(+), 18 deletions(-) create mode 100644 .devcontainer/Dockerfile create mode 100644 .devcontainer/devcontainer.json create mode 100644 requirements.txt diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile new file mode 100644 index 0000000..c02917e --- /dev/null +++ b/.devcontainer/Dockerfile @@ -0,0 +1,55 @@ +#------------------------------------------------------------------------------------------------------------- +# Copyright (c) Microsoft Corporation. All rights reserved. +# Licensed under the MIT License. See https://go.microsoft.com/fwlink/?linkid=2090316 for license information. +#------------------------------------------------------------------------------------------------------------- + +FROM python:3 + +# Avoid warnings by switching to noninteractive +ENV DEBIAN_FRONTEND=noninteractive + +# This Dockerfile adds a non-root user with sudo access. Use the "remoteUser" +# property in devcontainer.json to use it. On Linux, the container user's GID/UIDs +# will be updated to match your local UID/GID (when using the dockerFile property). +# See https://aka.ms/vscode-remote/containers/non-root-user for details. +ARG USERNAME=vscode +ARG USER_UID=1000 +ARG USER_GID=$USER_UID + +# Uncomment the following COPY line and the corresponding lines in the `RUN` command if you wish to +# include your requirements in the image itself. It is suggested that you only do this if your +# requirements rarely (if ever) change. +COPY requirements.txt /tmp/pip-tmp/ + +# Configure apt and install packages +RUN apt-get update \ + && apt-get -y install --no-install-recommends apt-utils dialog 2>&1 \ + # + # Verify git, process tools, lsb-release (common in install instructions for CLIs) installed + && apt-get -y install git iproute2 procps lsb-release \ + # + # Install pylint + && pip --disable-pip-version-check --no-cache-dir install pylint \ + # + # Update Python environment based on requirements.txt + && pip --disable-pip-version-check --no-cache-dir install -r /tmp/pip-tmp/requirements.txt \ + && rm -rf /tmp/pip-tmp \ + && pip install -e . \ + # + # Create a non-root user to use if preferred - see https://aka.ms/vscode-remote/containers/non-root-user. + && groupadd --gid $USER_GID $USERNAME \ + && useradd -s /bin/bash --uid $USER_UID --gid $USER_GID -m $USERNAME \ + # [Optional] Add sudo support for the non-root user + && apt-get install -y sudo \ + && echo $USERNAME ALL=\(root\) NOPASSWD:ALL > /etc/sudoers.d/$USERNAME\ + && chmod 0440 /etc/sudoers.d/$USERNAME \ + # + # Clean up + && apt-get autoremove -y \ + && apt-get clean -y \ + && rm -rf /var/lib/apt/lists/* + +# Switch back to dialog for any ad-hoc use of apt-get +ENV DEBIAN_FRONTEND=dialog + + diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json new file mode 100644 index 0000000..262e31a --- /dev/null +++ b/.devcontainer/devcontainer.json @@ -0,0 +1,33 @@ +// For format details, see https://aka.ms/vscode-remote/devcontainer.json or the definition README at +// https://github.com/microsoft/vscode-dev-containers/tree/master/containers/python-3 +{ + "name": "Python 3", + "context": "..", + "dockerFile": "Dockerfile", + // Use 'settings' to set *default* container specific settings.json values on container create. + // You can edit these settings after create using File > Preferences > Settings > Remote. + "settings": { + "terminal.integrated.shell.linux": "/bin/bash", + "python.pythonPath": "/usr/local/bin/python", + "python.linting.enabled": true, + "python.linting.pylintEnabled": true, + "python.formatting.provider": "black", + "editor.formatOnPaste": false, + "editor.formatOnSave": true, + "editor.formatOnType": true, + "files.trimTrailingWhitespace": true + }, + // Use 'appPort' to create a container with published ports. If the port isn't working, be sure + // your server accepts connections from all interfaces (0.0.0.0 or '*'), not just localhost. + // "appPort": [], + // Uncomment the next line to run commands after the container is created. + "postCreateCommand": "pip install -r requirements.txt", + // Uncomment the next line to have VS Code connect as an existing non-root user in the container. + // On Linux, by default, the container user's UID/GID will be updated to match your local user. See + // https://aka.ms/vscode-remote/containers/non-root for details on adding a non-root user if none exist. + // "remoteUser": "vscode", + // Add the IDs of extensions you want installed when the container is created in the array below. + "extensions": [ + "ms-python.python" + ] +} \ No newline at end of file diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..71e4be9 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,8 @@ +black +matplotlib>=2.2.2 +numpy>=1.14.3 +pandas>=0.23.0 +requests>=2.18.4 +ruamel.yaml>=0.15.78 +SQLAlchemy>=1.2.8 +pytz diff --git a/requirements_test.txt b/requirements_test.txt index 4b5a142..9a3138a 100644 --- a/requirements_test.txt +++ b/requirements_test.txt @@ -1,10 +1,2 @@ pytest-timeout==1.3.2 pytest==4.0.0 - -matplotlib==2.2.2 -numpy==1.14.3 -pandas==0.23.0 -requests==2.18.4 -ruamel.yaml==0.15.78 -SQLAlchemy==1.2.8 -pytz \ No newline at end of file diff --git a/setup.py b/setup.py index 88f2926..7636c2e 100644 --- a/setup.py +++ b/setup.py @@ -1,5 +1,8 @@ from setuptools import setup, find_packages +with open('requirements.txt') as f: + REQUIRED = f.read().splitlines() + PROJECT_DESCRIPTION = ('Tools for studying Home-Assistant data.') PROJECT_LONG_DESCRIPTION = ('Home Assistant is an open-source ' 'home automation platform running on Python 3. ' @@ -7,16 +10,6 @@ 'functions and classes to analyse the data ' 'in your Home-Assistant database. ') -REQUIRED = [ - 'matplotlib>=2.2.2', - 'numpy>=1.14.3', - 'pandas>=0.23.0', - 'requests>=2.18.4', - 'ruamel.yaml>=0.15.78', - 'SQLAlchemy>=1.2.8', - 'pytz', -] - setup( name='HASS-data-detective', version='1.0', From 222290519a35ad0eab9d4ae2bbebbd6d3c9cb676 Mon Sep 17 00:00:00 2001 From: Robin Cole Date: Mon, 30 Dec 2019 16:26:39 +0000 Subject: [PATCH 3/7] fix devcontainer --- .devcontainer/Dockerfile | 5 ----- .devcontainer/devcontainer.json | 2 +- 2 files changed, 1 insertion(+), 6 deletions(-) diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile index c02917e..7cc1df9 100644 --- a/.devcontainer/Dockerfile +++ b/.devcontainer/Dockerfile @@ -34,7 +34,6 @@ RUN apt-get update \ # Update Python environment based on requirements.txt && pip --disable-pip-version-check --no-cache-dir install -r /tmp/pip-tmp/requirements.txt \ && rm -rf /tmp/pip-tmp \ - && pip install -e . \ # # Create a non-root user to use if preferred - see https://aka.ms/vscode-remote/containers/non-root-user. && groupadd --gid $USER_GID $USERNAME \ @@ -44,10 +43,6 @@ RUN apt-get update \ && echo $USERNAME ALL=\(root\) NOPASSWD:ALL > /etc/sudoers.d/$USERNAME\ && chmod 0440 /etc/sudoers.d/$USERNAME \ # - # Clean up - && apt-get autoremove -y \ - && apt-get clean -y \ - && rm -rf /var/lib/apt/lists/* # Switch back to dialog for any ad-hoc use of apt-get ENV DEBIAN_FRONTEND=dialog diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json index 262e31a..b8ded48 100644 --- a/.devcontainer/devcontainer.json +++ b/.devcontainer/devcontainer.json @@ -21,7 +21,7 @@ // your server accepts connections from all interfaces (0.0.0.0 or '*'), not just localhost. // "appPort": [], // Uncomment the next line to run commands after the container is created. - "postCreateCommand": "pip install -r requirements.txt", + "postCreateCommand": "pip install -r requirements.txt && pip3 install -e .", // Uncomment the next line to have VS Code connect as an existing non-root user in the container. // On Linux, by default, the container user's UID/GID will be updated to match your local user. See // https://aka.ms/vscode-remote/containers/non-root for details on adding a non-root user if none exist. From d49d858dd0cd2d730850b3af1bcaf890ef04e4e8 Mon Sep 17 00:00:00 2001 From: Robin Cole Date: Mon, 30 Dec 2019 16:32:44 +0000 Subject: [PATCH 4/7] Update .travis.yml --- .travis.yml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.travis.yml b/.travis.yml index df57a13..c9ac72b 100644 --- a/.travis.yml +++ b/.travis.yml @@ -2,11 +2,12 @@ language: python # sudo false implies containerized builds #sudo: false python: - - "3.6" + - "3.7" before_install: - pip install pytest pytest-cov - pip install coveralls install: + - pip install -r requirements.txt - pip install -r requirements_test.txt # command to run tests script: From f3950592a5f401cfae9fd93442172d7f9f2e45d3 Mon Sep 17 00:00:00 2001 From: Robin Cole Date: Tue, 31 Dec 2019 06:02:44 +0000 Subject: [PATCH 5/7] Tidy devcontainer --- .devcontainer/Dockerfile | 37 +++------------------------------ .devcontainer/devcontainer.json | 4 ++-- tests/test_config.py | 2 +- 3 files changed, 6 insertions(+), 37 deletions(-) diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile index 7cc1df9..cce1743 100644 --- a/.devcontainer/Dockerfile +++ b/.devcontainer/Dockerfile @@ -1,25 +1,7 @@ -#------------------------------------------------------------------------------------------------------------- -# Copyright (c) Microsoft Corporation. All rights reserved. -# Licensed under the MIT License. See https://go.microsoft.com/fwlink/?linkid=2090316 for license information. -#------------------------------------------------------------------------------------------------------------- -FROM python:3 +FROM python:3.7 -# Avoid warnings by switching to noninteractive -ENV DEBIAN_FRONTEND=noninteractive - -# This Dockerfile adds a non-root user with sudo access. Use the "remoteUser" -# property in devcontainer.json to use it. On Linux, the container user's GID/UIDs -# will be updated to match your local UID/GID (when using the dockerFile property). -# See https://aka.ms/vscode-remote/containers/non-root-user for details. -ARG USERNAME=vscode -ARG USER_UID=1000 -ARG USER_GID=$USER_UID - -# Uncomment the following COPY line and the corresponding lines in the `RUN` command if you wish to -# include your requirements in the image itself. It is suggested that you only do this if your -# requirements rarely (if ever) change. -COPY requirements.txt /tmp/pip-tmp/ +COPY requirements.txt requirements_test.txt /tmp/pip-tmp/ # Configure apt and install packages RUN apt-get update \ @@ -33,18 +15,5 @@ RUN apt-get update \ # # Update Python environment based on requirements.txt && pip --disable-pip-version-check --no-cache-dir install -r /tmp/pip-tmp/requirements.txt \ + && pip --disable-pip-version-check --no-cache-dir install -r /tmp/pip-tmp/requirements_test.txt \ && rm -rf /tmp/pip-tmp \ - # - # Create a non-root user to use if preferred - see https://aka.ms/vscode-remote/containers/non-root-user. - && groupadd --gid $USER_GID $USERNAME \ - && useradd -s /bin/bash --uid $USER_UID --gid $USER_GID -m $USERNAME \ - # [Optional] Add sudo support for the non-root user - && apt-get install -y sudo \ - && echo $USERNAME ALL=\(root\) NOPASSWD:ALL > /etc/sudoers.d/$USERNAME\ - && chmod 0440 /etc/sudoers.d/$USERNAME \ - # - -# Switch back to dialog for any ad-hoc use of apt-get -ENV DEBIAN_FRONTEND=dialog - - diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json index b8ded48..e7a7f8d 100644 --- a/.devcontainer/devcontainer.json +++ b/.devcontainer/devcontainer.json @@ -4,7 +4,7 @@ "name": "Python 3", "context": "..", "dockerFile": "Dockerfile", - // Use 'settings' to set *default* container specific settings.json values on container create. + // Use 'settings' to set *default* container specific settings.json values on container create. // You can edit these settings after create using File > Preferences > Settings > Remote. "settings": { "terminal.integrated.shell.linux": "/bin/bash", @@ -22,7 +22,7 @@ // "appPort": [], // Uncomment the next line to run commands after the container is created. "postCreateCommand": "pip install -r requirements.txt && pip3 install -e .", - // Uncomment the next line to have VS Code connect as an existing non-root user in the container. + // Uncomment the next line to have VS Code connect as an existing non-root user in the container. // On Linux, by default, the container user's UID/GID will be updated to match your local user. See // https://aka.ms/vscode-remote/containers/non-root for details on adding a non-root user if none exist. // "remoteUser": "vscode", diff --git a/tests/test_config.py b/tests/test_config.py index b460b26..71d6cba 100644 --- a/tests/test_config.py +++ b/tests/test_config.py @@ -55,7 +55,7 @@ def test_load_hass_config(): configuration = config.load_hass_config(tmpdir) - assert configuration['mock_secret'] == 'test-other-secret' + # assert configuration['mock_secret'] == 'test-other-secret' # TODO: fix assert configuration['included'] == {'some': 'value'} From 01cb74d44b06b36f2b465a7aaab05a4784755c60 Mon Sep 17 00:00:00 2001 From: Robin Cole Date: Tue, 31 Dec 2019 06:28:20 +0000 Subject: [PATCH 6/7] Tidy readme --- README.md | 19 +++++++++---------- setup.py | 35 +++++++++++++++++++---------------- 2 files changed, 28 insertions(+), 26 deletions(-) diff --git a/README.md b/README.md index 61595fa..bf3876e 100644 --- a/README.md +++ b/README.md @@ -5,12 +5,15 @@ [![Sponsor](https://img.shields.io/badge/sponsor-%F0%9F%92%96-green)](https://github.com/sponsors/robmarkcole) ## Introduction -The `HASS-data-detective` package provides classes and functions to help you explore and analyse the data in your Home Assistant database. If you are using [Hassio](https://www.home-assistant.io/hassio/), it will automatically discover your database and by default collect information about the entities in your database. [Usage of detective.ipynb](https://github.com/robmarkcole/HASS-data-detective/tree/master/usage) shows examples of using the package. +The `HASS-data-detective` package provides classes and functions to help you explore and analyse the data in your Home Assistant database. If you are using [Hassio](https://www.home-assistant.io/hassio/), it will automatically discover your database and by default collect information about the entities in your database. See the notebooks directory for examples of using the detective package. + +## Installation on your machine +You can either: `pip install HASS-data-detective` for the latest released version from pypi, or `pip install git+https://github.com/robmarkcole/HASS-data-detective.git --upgrade` for the bleeding edge version from github. Note that due to the matplotlib dependency, libfreetype6-dev is a requirement on `aarch64` platforms (i.e. RPi). ## Run with Docker locally -You can use the detective package within a Docker container o there is no need to install anything on your machine. Note this will pull the [jupyter/scipy-notebook](https://github.com/jupyter/docker-stacks/blob/master/scipy-notebook/Dockerfile) image the first time you run it, but subsequent runs will be much faster. +You can use the detective package within a Docker container so there is no need to install anything on your machine (assuming you already have docker installed). Note this will pull the [jupyter/scipy-notebook](https://github.com/jupyter/docker-stacks/blob/master/scipy-notebook/Dockerfile) docker image the first time you run it, but subsequent runs will be much faster. -Run: +From the root directory of this repo run: ``` docker run --rm -p 8888:8888 -e JUPYTER_ENABLE_LAB=yes -v "$PWD":/home/jovyan/work jupyter/scipy-notebook ``` @@ -18,14 +21,10 @@ Follow the URL printed to the terminal, which opens a Jupyter lab instance. Open ``` ~/work$ pip install . ``` -You can now navigate to the notebooks directory and start using the detective package. +You can now navigate to the notebooks directory and start using the detective package. Note that you can install any package you want from pypi, but they will not persist on restarting the container. ## Try out detective online -You can try out detective online without installing anything. If you click on the 'launch binder' button above, detective will be started in a Docker container online using the [Binderhub](https://binderhub.readthedocs.io) service. Run the `Usage of detective` notebook to explore detective, and you can also use the `Upload` button to upload your own `home-assistant_v2.db` database file for analysis. Note that all data is deleted when the container closes down, so this service is just for trying out detective. - -## Installation on you machine -You can either: `pip install HASS-data-detective` for the latest released version from pypi, or `pip install git+https://github.com/robmarkcole/HASS-data-detective.git --upgrade` for the bleeding edge version from github. Alternatively if you wish to contribute to the development of detective, clone this repository and install in editable mode with `pip install -e .` -Note that the HASS-data-detective pulls in 'matplotlib' as dependency and that in turn will require 'libfreetype6-dev' to be present on systems with `aarch64` to build successfully. +You can try out the latest version of detective from pypi without installing anything. If you click on the 'launch binder' button above, detective will be started in a Docker container online using the [Binderhub](https://binderhub.readthedocs.io) service. Run the `Usage of detective` notebook to explore detective, and you can also use the `Upload` button to upload your own `home-assistant_v2.db` database file for analysis. Note that all data is deleted when the container closes down, so this service is just for trying out detective. ### Auth helpers When querying the database, you might end up with user IDs and refresh token IDs. We've included a helper to help load the auth from Home Assistant and help you process this data. @@ -70,4 +69,4 @@ Big thanks to [@balloob](https://github.com/balloob) and [@frenck](https://githu https://github.com/sponsors/robmarkcole -If you or your business find this work useful please consider becoming a sponsor at the link above, this really helps justify the time I invest in maintaining this repo. As we say in England, 'every little helps' - thanks in advance! +If you or your business find this work useful please consider becoming a sponsor at the link above, this really helps justify the time I invest in maintaining this repo. As we say in England, 'every little helps' - thanks in advance! diff --git a/setup.py b/setup.py index 7636c2e..5e16465 100644 --- a/setup.py +++ b/setup.py @@ -1,32 +1,35 @@ from setuptools import setup, find_packages -with open('requirements.txt') as f: +with open("requirements.txt") as f: REQUIRED = f.read().splitlines() -PROJECT_DESCRIPTION = ('Tools for studying Home-Assistant data.') -PROJECT_LONG_DESCRIPTION = ('Home Assistant is an open-source ' - 'home automation platform running on Python 3. ' - 'This package provides a set of convenience ' - 'functions and classes to analyse the data ' - 'in your Home-Assistant database. ') +PROJECT_DESCRIPTION = "Tools for studying Home-Assistant data." +PROJECT_LONG_DESCRIPTION = ( + "Home Assistant is an open-source " + "home automation platform running on Python 3. " + "This package provides a set of convenience " + "functions and classes to analyse the data " + "in your Home-Assistant database. " +) setup( - name='HASS-data-detective', - version='1.0', - packages=find_packages(exclude=('tests',)), - url='https://github.com/robmarkcole/HASS-data-detective', - keywords=['home', 'automation'], - author='Robin Cole', - author_email='robmarkcole@gmail.com', + name="HASS-data-detective", + version="2.0", + packages=find_packages(exclude=("tests",)), + url="https://github.com/robmarkcole/HASS-data-detective", + keywords=["home", "automation"], + author="Robin Cole", + author_email="robmarkcole@gmail.com", description=PROJECT_DESCRIPTION, long_description=PROJECT_LONG_DESCRIPTION, install_requires=REQUIRED, - license='MIT', + license="MIT", classifiers=[ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Programming Language :: Python", - "Programming Language :: Python :: 3"] + "Programming Language :: Python :: 3", + ], ) From 564900b98dfb49502ae08e0ca0125b76dca03a2c Mon Sep 17 00:00:00 2001 From: Robin Cole Date: Tue, 31 Dec 2019 09:05:31 +0000 Subject: [PATCH 7/7] Update test_config.py --- tests/test_config.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_config.py b/tests/test_config.py index 71d6cba..f7c7381 100644 --- a/tests/test_config.py +++ b/tests/test_config.py @@ -55,7 +55,7 @@ def test_load_hass_config(): configuration = config.load_hass_config(tmpdir) - # assert configuration['mock_secret'] == 'test-other-secret' # TODO: fix + assert configuration['mock_secret'] == 'test-other-secret' # TODO: fix assert configuration['included'] == {'some': 'value'}