Merge pull request #1 from specklesystems/pavol/data-pack
Added the first example
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paloknapo
GitHub
Коммит
59e9c65602
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@ -0,0 +1,142 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Speckle Data Pack\n",
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"### Get Room Data - Model\n",
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"This is a simple example how to get room data from all model (branch) versions (commits)."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"%%capture\n",
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"# capture turns off the output for this cell which would just be the pip install log\n",
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"%pip install specklepy"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"from specklepy.api.wrapper import StreamWrapper\n",
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"\n",
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"# Speckle Data Pack model (branch) link\n",
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"stream_url = \"https://speckle.xyz/streams/729cb7c74b/branches/all_in_one\"\n",
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"\n",
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"# wrapper\n",
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"wrapper = StreamWrapper(stream_url)\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"from specklepy.api import operations\n",
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"\n",
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"# get model (branch) data\n",
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"branch = wrapper.get_client().branch.get(stream_id=wrapper.stream_id, name=wrapper.branch_name, commits_limit=40)\n",
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"\n",
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"data = []\n",
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"\n",
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"for commit in branch.commits.items:\n",
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"\n",
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" # get obj id from commit\n",
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" obj_id = commit.referencedObject\n",
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"\n",
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" # receive objects from speckle\n",
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" commit_data = operations.receive(\n",
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" obj_id=obj_id, remote_transport=wrapper.get_transport()\n",
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" )\n",
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" data.append(commit_data)\n",
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" "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"# filter room data \n",
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"\n",
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"rooms = []\n",
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"\n",
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"for item in data: \n",
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"\n",
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" elements = item['elements']\n",
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"\n",
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" # get Rooms collection\n",
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" for el in elements:\n",
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" if el['name'] == 'Rooms':\n",
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" for r in el['elements']:\n",
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" rooms.append(r) \n",
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" "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(6613.85, 33.07, 200)"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# calculate total and average rooms area\n",
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"\n",
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"total_area = 0\n",
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"count_rooms = 0\n",
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"\n",
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"for r in rooms:\n",
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" # filter rooms with no area in case of unplaced rooms\n",
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" if r['area'] != 0:\n",
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" total_area += r['area']\n",
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" count_rooms += 1\n",
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"\n",
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"average_area = total_area / count_rooms\n",
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"\n",
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"round(total_area,2), round(average_area,2), count_rooms\n"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.11"
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},
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"orig_nbformat": 4
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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@ -0,0 +1,146 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Speckle Data Pack\n",
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"### Get Room Data - Project\n",
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"This is a simple example how to get room data from models (branches) in project (stream)."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [],
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"source": [
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"%%capture\n",
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"# capture turns off the output for this cell which would just be the pip install log\n",
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"%pip install specklepy"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"source": [
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"from specklepy.api.wrapper import StreamWrapper\n",
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"\n",
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"# Speckle Data Pack project (stream) link\n",
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"stream_url = \"https://speckle.xyz/streams/729cb7c74b\"\n",
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"\n",
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"# wrapper\n",
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"wrapper = StreamWrapper(stream_url)\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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"from specklepy.api import operations\n",
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"\n",
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"# get project (stream) data\n",
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"stream = wrapper.get_client().stream.get(id=wrapper.stream_id, branch_limit=40)\n",
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"\n",
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"data = []\n",
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"\n",
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"# models (branches) to skip\n",
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"exclude_models = ['main', 'all_in_one']\n",
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"\n",
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"for branch in stream.branches.items:\n",
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" \n",
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" if branch.commits.items and branch.name not in exclude_models:\n",
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" # get obj id from the latest version (commit)\n",
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" obj_id = branch.commits.items[0].referencedObject\n",
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"\n",
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" # receive objects from speckle\n",
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" commit_data = operations.receive(\n",
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" obj_id=obj_id, remote_transport=wrapper.get_transport()\n",
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" )\n",
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" data.append(commit_data)\n",
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" "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [],
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"source": [
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"# filter room data \n",
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"\n",
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"rooms = []\n",
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"\n",
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"for item in data: \n",
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"\n",
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" elements = item['elements']\n",
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"\n",
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" # get Rooms collection\n",
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" for el in elements:\n",
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" if el['name'] == 'Rooms':\n",
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" for r in el['elements']:\n",
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" rooms.append(r) \n",
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" "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(6613.85, 33.07, 200)"
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]
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},
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# calculate total and average rooms area\n",
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"\n",
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"total_area = 0\n",
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"count_rooms = 0\n",
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"\n",
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"for r in rooms:\n",
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" # filter rooms with no area in case of unplaced rooms\n",
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" if r['area'] != 0:\n",
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" total_area += r['area']\n",
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" count_rooms += 1\n",
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"\n",
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"average_area = total_area / count_rooms\n",
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"\n",
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"round(total_area,2), round(average_area,2), count_rooms\n"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.11"
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},
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"orig_nbformat": 4
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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