From e49c6138f54a27a090e0c38f8cf2a559f19cae28 Mon Sep 17 00:00:00 2001 From: mmikita95 Date: Fri, 26 Jan 2024 22:49:01 +0300 Subject: [PATCH 01/39] POC implementation --- src/streamsync/core.py | 41 +++++++++++++++++++++++++++++++++++++---- 1 file changed, 37 insertions(+), 4 deletions(-) diff --git a/src/streamsync/core.py b/src/streamsync/core.py index 2c1353915..9fa06c9f0 100644 --- a/src/streamsync/core.py +++ b/src/streamsync/core.py @@ -1,3 +1,4 @@ +import asyncio import contextlib import copy import datetime @@ -5,6 +6,7 @@ import logging import secrets import sys +import threading import time import traceback from typing import Any, Callable, Dict, List, Literal, Optional, Set, Tuple, Union @@ -944,6 +946,16 @@ def __init__(self, session: StreamsyncSession) -> None: self.deser = EventDeserialiser(self.session_state) self.evaluator = Evaluator(self.session_state) + def _get_event_loop(self) -> asyncio.AbstractEventLoop: + """Get the current thread's event loop, or create a new one if it doesn't exist""" + if not hasattr(self._thread_local, "loop"): + self._thread_local.loop = asyncio.new_event_loop() + return self._thread_local.loop + + @property + def _event_loop(self): + return self._get_event_loop() + def _handle_binding(self, event_type, target_component, instance_path, payload) -> None: if not target_component.binding: return @@ -952,6 +964,17 @@ def _handle_binding(self, event_type, target_component, instance_path, payload) return self.evaluator.set_state(binding["stateRef"], instance_path, payload) + async def _async_handler_executor(self, callable_handler, arg_values): + # TODO Design a proper stdout-catching mechanism for asynchronous handlers + result = await callable_handler(*arg_values) + return result, None + + def _sync_handler_executor(self, callable_handler, arg_values): + with contextlib.redirect_stdout(io.StringIO()) as f: + result = callable_handler(*arg_values) + captured_stdout = f.getvalue() + return result, captured_stdout + def _call_handler_callable(self, event_type, target_component, instance_path, payload) -> Any: streamsyncuserapp = sys.modules.get("streamsyncuserapp") if streamsyncuserapp is None: @@ -967,8 +990,10 @@ def _call_handler_callable(self, event_type, target_component, instance_path, pa raise ValueError( f"""Invalid handler. Couldn't find the handler "{ handler }".""") callable_handler = getattr(streamsyncuserapp, handler) + is_async_handler = inspect.iscoroutinefunction(callable_handler) - if not callable(callable_handler): + if (not callable(callable_handler) + and not is_async_handler): raise ValueError( "Invalid handler. The handler isn't a callable object.") @@ -991,9 +1016,17 @@ def _call_handler_callable(self, event_type, target_component, instance_path, pa arg_values.append(session_info) result = None - with contextlib.redirect_stdout(io.StringIO()) as f: - result = callable_handler(*arg_values) - captured_stdout = f.getvalue() + if is_async_handler: + loop = self._event_loop + async_handler = self._async_handler_executor(callable_handler, arg_values) + if loop is not None and loop.is_running(): + future = asyncio.run_coroutine_threadsafe(async_handler, loop) + result, captured_stdout = future.result() + else: + result, captured_stdout = asyncio.run(async_handler) + else: + result, captured_stdout = self._sync_handler_executor(callable_handler, arg_values) + if captured_stdout: self.session_state.add_log_entry( "info", From 5a1afbe69e49be1d1129218ac5bdf20fb3de7e67 Mon Sep 17 00:00:00 2001 From: mmikita95 Date: Fri, 2 Feb 2024 12:30:44 +0300 Subject: [PATCH 02/39] interfacing ThreadPoolExecutor to EventHandler --- src/streamsync/app_runner.py | 6 +++--- src/streamsync/core.py | 23 +++++------------------ 2 files changed, 8 insertions(+), 21 deletions(-) diff --git a/src/streamsync/app_runner.py b/src/streamsync/app_runner.py index af2d3aa5b..1d9723b15 100644 --- a/src/streamsync/app_runner.py +++ b/src/streamsync/app_runner.py @@ -160,7 +160,7 @@ def _handle_session_init(self, payload: InitSessionRequestPayload) -> InitSessio def _handle_event(self, session: StreamsyncSession, event: StreamsyncEvent) -> EventResponsePayload: import traceback as tb - result = session.event_handler.handle(event) + result = session.event_handler.handle(event, self.thread_pool) mutations = {} @@ -395,7 +395,7 @@ def signal_handler(sig, frame): # No need to handle signal as not main thread pass - with concurrent.futures.ThreadPoolExecutor(100) as thread_pool: + with concurrent.futures.ThreadPoolExecutor(100) as self.thread_pool: self.is_app_process_server_ready.set() while True: # Starts app message server try: @@ -406,7 +406,7 @@ def signal_handler(sig, frame): # Send empty packet to client for it to close terminate_server() return - self._handle_app_process_server_packet(packet, thread_pool) + self._handle_app_process_server_packet(packet, self.thread_pool) except InterruptedError: terminate_server() return diff --git a/src/streamsync/core.py b/src/streamsync/core.py index 9fa06c9f0..1d6200bca 100644 --- a/src/streamsync/core.py +++ b/src/streamsync/core.py @@ -946,15 +946,6 @@ def __init__(self, session: StreamsyncSession) -> None: self.deser = EventDeserialiser(self.session_state) self.evaluator = Evaluator(self.session_state) - def _get_event_loop(self) -> asyncio.AbstractEventLoop: - """Get the current thread's event loop, or create a new one if it doesn't exist""" - if not hasattr(self._thread_local, "loop"): - self._thread_local.loop = asyncio.new_event_loop() - return self._thread_local.loop - - @property - def _event_loop(self): - return self._get_event_loop() def _handle_binding(self, event_type, target_component, instance_path, payload) -> None: if not target_component.binding: @@ -975,7 +966,7 @@ def _sync_handler_executor(self, callable_handler, arg_values): captured_stdout = f.getvalue() return result, captured_stdout - def _call_handler_callable(self, event_type, target_component, instance_path, payload) -> Any: + def _call_handler_callable(self, event_type, target_component, instance_path, payload, thread_pool) -> Any: streamsyncuserapp = sys.modules.get("streamsyncuserapp") if streamsyncuserapp is None: raise ValueError("Couldn't find app module (streamsyncuserapp).") @@ -1017,13 +1008,9 @@ def _call_handler_callable(self, event_type, target_component, instance_path, pa result = None if is_async_handler: - loop = self._event_loop async_handler = self._async_handler_executor(callable_handler, arg_values) - if loop is not None and loop.is_running(): - future = asyncio.run_coroutine_threadsafe(async_handler, loop) - result, captured_stdout = future.result() - else: - result, captured_stdout = asyncio.run(async_handler) + thread_pool_future = thread_pool.submit(asyncio.create_task, async_handler) + result, captured_stdout = thread_pool_future.result() else: result, captured_stdout = self._sync_handler_executor(callable_handler, arg_values) @@ -1035,7 +1022,7 @@ def _call_handler_callable(self, event_type, target_component, instance_path, pa ) return result - def handle(self, ev: StreamsyncEvent) -> StreamsyncEventResult: + def handle(self, ev: StreamsyncEvent, thread_pool) -> StreamsyncEventResult: ok = True try: @@ -1055,7 +1042,7 @@ def handle(self, ev: StreamsyncEvent) -> StreamsyncEventResult: self._handle_binding(ev.type, target_component, instance_path, ev.payload) result = self._call_handler_callable( - ev.type, target_component, instance_path, ev.payload) + ev.type, target_component, instance_path, ev.payload, thread_pool) except BaseException: ok = False self.session_state.add_notification("error", "Runtime Error", f"An error occurred when processing event '{ ev.type }'.", From 3cbfe0ec270bce3a766fc5d85d65cb34a25ec8d9 Mon Sep 17 00:00:00 2001 From: mmikita95 Date: Mon, 5 Feb 2024 21:36:03 +0300 Subject: [PATCH 03/39] Replacing asyncio.create_task with asyncio.run --- src/streamsync/core.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/streamsync/core.py b/src/streamsync/core.py index fdb033545..ccb585861 100644 --- a/src/streamsync/core.py +++ b/src/streamsync/core.py @@ -1040,7 +1040,7 @@ def _call_handler_callable(self, event_type, target_component, instance_path, pa result = None if is_async_handler: async_handler = self._async_handler_executor(callable_handler, arg_values) - thread_pool_future = thread_pool.submit(asyncio.create_task, async_handler) + thread_pool_future = thread_pool.submit(asyncio.run, async_handler) result, captured_stdout = thread_pool_future.result() else: result, captured_stdout = self._sync_handler_executor(callable_handler, arg_values) From b819904181cb2b9ff7c3a090514f3ba74191debe Mon Sep 17 00:00:00 2001 From: Fabien Arcellier Date: Wed, 7 Feb 2024 08:10:43 +0100 Subject: [PATCH 04/39] use poetry instead of setup tools as package manager * configure poetry * configure poetry to handle virtualenv in `./.venv` * migrate and fix the build.sh (mypy didn't pass) * remove MANIFEST.in because poetry handle all the files from src * modify CONTRIBUTING.md * remove the dependency group of `test`, use `build` instead * change versioning strategy to fetch version from package manifest (poetry way, one of the few defaults of poetry) --- CONTRIBUTING.md | 4 +- MANIFEST.in | 3 - build.sh | 6 +- poetry.lock | 1175 ++++++++++++++++++++++++++++++++++ poetry.toml | 2 + pyproject.toml | 88 ++- src/streamsync/__init__.py | 3 +- src/streamsync/app_runner.py | 2 +- 8 files changed, 1226 insertions(+), 57 deletions(-) delete mode 100644 MANIFEST.in create mode 100644 poetry.lock create mode 100644 poetry.toml diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 635e9291b..194e9b079 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -24,8 +24,8 @@ Pull requests should be done on the `dev` branch. When the release is finalised, ## Setting up a development environment Whether you're interested in contributing to the repository, creating a fork, or just improving your understanding of Streamsync, these are the suggested steps for setting up a development environment. -- Install streamsync[test] or streamsync[build]. -- You can install the package in editable mode using `pip install -e .`, which will make it more convenient if you intend to tweak the backend. +- You can install the package in editable mode using `poetry install --with build`, which will make it more convenient if you intend to tweak the backend. +- Enable the virtual environment with `poetry shell` - Run streamsync in port 5000. For example, `streamsync edit hello --port 5000`. - Install dependencies and run `npm run dev` in `/ui`. This runs the frontend for Streamsync in development mode while proxying requests to port 5000. - A breakdown of the steps required for packaging can be found in `./build.sh`. Notably, it includes compiling the frontend and taking it from `/ui` and into the Python package. \ No newline at end of file diff --git a/MANIFEST.in b/MANIFEST.in deleted file mode 100644 index bac655166..000000000 --- a/MANIFEST.in +++ /dev/null @@ -1,3 +0,0 @@ -recursive-include src/streamsync/app_templates * -recursive-include src/streamsync/static * -include src/streamsync/py.typed \ No newline at end of file diff --git a/build.sh b/build.sh index 3991fef8d..5b3ff4a86 100755 --- a/build.sh +++ b/build.sh @@ -12,12 +12,12 @@ cd .. # PYTEST cd ./tests -pytest +poetry run pytest cd .. # TYPE CHECKS (MYPY) -mypy ./src/streamsync/*.py +poetry run mypy ./src/streamsync/*.py # APP PROVISIONING @@ -28,4 +28,4 @@ cp -r ./apps/hello ./src/streamsync/app_templates # PYTHON PACKAGE BUILD rm -rf ./dist/* -python -m build \ No newline at end of file +poetry build \ No newline at end of file diff --git a/poetry.lock b/poetry.lock new file mode 100644 index 000000000..90f37cec3 --- /dev/null +++ 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--- a/pyproject.toml +++ b/pyproject.toml @@ -1,59 +1,53 @@ [build-system] -requires = ["setuptools", "setuptools-scm"] -build-backend = "setuptools.build_meta" +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" -[project] +[tool.poetry] name = "streamsync" -authors = [{ name = "Ramiro Medina", email = "ramiro.a.medina@gmail.com" }] +version = "0.3.0" description = "Streamsync helps you create performant data apps, via Python code and its built-in visual UI editor." +authors = ["Ramiro Medina "] +license = "Apache 2.0" readme = "README.md" -requires-python = ">=3.9.2" +homepage = "https://www.streamsync.cloud" +repository = "https://www.github.com/streamsync-cloud/streamsync" +documentation = "https://www.streamsync.cloud/getting-started.html" keywords = ["data apps", "gui", "ui"] -license = { text = "Apache 2.0" } -classifiers = ["Development Status :: 4 - Beta"] -dependencies = [ - "pydantic >= 2.6.0, < 3", - "fastapi >= 0.89.1, < 1", - "websockets >= 12, < 13", - "uvicorn >= 0.20.0, < 1", - "watchdog >= 3.0.0, < 4" +classifiers = [ + "Development Status :: 4 - Beta" +] +packages = [ + { include = "streamsync", from = "src" } ] -dynamic = ["version"] +[tool.poetry.dependencies] +python = ">=3.9.2, <4.0" +pydantic = ">= 2.6.0, < 3" +fastapi = ">= 0.89.1, < 1" +websockets = ">= 12, < 13" +uvicorn = ">= 0.20.0, < 1" +watchdog = ">= 3.0.0, < 4" +pandas = {version = ">= 2.2.0, < 3", optional = true} +pyarrow = {version = ">= 15.0.0, < 16.0.0",optional = true} +plotly = {version = ">= 5.18.0, < 6", optional = true} -[project.optional-dependencies] -ds = [ - "pandas >= 2.2.0, < 3", - "pyarrow >= 15.0.0, < 16.0.0", - "plotly >= 5.18.0, < 6" -] -test = [ - "pandas >= 2.2.0, < 3", - "pyarrow >= 15.0.0, < 16.0.0", - "plotly >= 5.18.0, < 6", - "pytest-asyncio >= 0.23.4, < 1", - "pytest >= 7.0.0, < 8", - "altair >= 5.2.0, < 6", - "httpx >= 0.26.0, < 1" -] -build = [ - "pandas >= 2.2.0, < 3", - "pyarrow >= 15.0.0, < 16.0.0", - "plotly >= 5.18.0, < 6", - 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a/src/streamsync/__init__.py +++ b/src/streamsync/__init__.py @@ -1,8 +1,9 @@ +import importlib.metadata from typing import Union, Optional, Dict, Any from streamsync.core import Readable, FileWrapper, BytesWrapper, Config from streamsync.core import initial_state, component_manager, session_manager, session_verifier -VERSION = "0.3.0" +VERSION = importlib.metadata.version("streamsync") component_manager session_manager diff --git a/src/streamsync/app_runner.py b/src/streamsync/app_runner.py index af2d3aa5b..ebe95704f 100644 --- a/src/streamsync/app_runner.py +++ b/src/streamsync/app_runner.py @@ -539,7 +539,7 @@ def __init__(self, app_path: str, mode: str): self.is_app_process_server_ready = multiprocessing.Event() self.is_app_process_server_failed = multiprocessing.Event() self.app_process_listener: Optional[AppProcessListener] = None - self.observer: Optional[watchdog.observers.Observer] = None + self.observer: Optional[PollingObserver] = None self.app_path: str = app_path self.response_events: Dict[int, ThreadSafeAsyncEvent] = {} self.response_packets: Dict[int, AppProcessServerResponsePacket] = {} From ec296834f0217fec9c74c42117e0581eb870a98e Mon Sep 17 00:00:00 2001 From: mmikita95 Date: Wed, 7 Feb 2024 15:03:59 +0300 Subject: [PATCH 05/39] Removing ThreadPoolExecutor interface Replacing ThreadPoolExecutor solution with asyncio.run call for simplicity --- src/streamsync/app_runner.py | 6 +++--- src/streamsync/core.py | 23 +++++++++++++---------- 2 files changed, 16 insertions(+), 13 deletions(-) diff --git a/src/streamsync/app_runner.py b/src/streamsync/app_runner.py index 1d9723b15..af2d3aa5b 100644 --- a/src/streamsync/app_runner.py +++ b/src/streamsync/app_runner.py @@ -160,7 +160,7 @@ def _handle_session_init(self, payload: InitSessionRequestPayload) -> InitSessio def _handle_event(self, session: StreamsyncSession, event: StreamsyncEvent) -> EventResponsePayload: import traceback as tb - result = session.event_handler.handle(event, self.thread_pool) + result = session.event_handler.handle(event) mutations = {} @@ -395,7 +395,7 @@ def signal_handler(sig, frame): # No need to handle signal as not main thread pass - with concurrent.futures.ThreadPoolExecutor(100) as self.thread_pool: + with concurrent.futures.ThreadPoolExecutor(100) as thread_pool: self.is_app_process_server_ready.set() while True: # Starts app message server try: @@ -406,7 +406,7 @@ def signal_handler(sig, frame): # Send empty packet to client for it to close terminate_server() return - self._handle_app_process_server_packet(packet, self.thread_pool) + self._handle_app_process_server_packet(packet, thread_pool) except InterruptedError: terminate_server() return diff --git a/src/streamsync/core.py b/src/streamsync/core.py index ccb585861..bc11845f8 100644 --- a/src/streamsync/core.py +++ b/src/streamsync/core.py @@ -986,10 +986,15 @@ def _handle_binding(self, event_type, target_component, instance_path, payload) return self.evaluator.set_state(binding["stateRef"], instance_path, payload) - async def _async_handler_executor(self, callable_handler, arg_values): - # TODO Design a proper stdout-catching mechanism for asynchronous handlers - result = await callable_handler(*arg_values) - return result, None + def _async_handler_executor(self, callable_handler, arg_values): + async_callable = self._async_handler_executor_internal(callable_handler, arg_values) + return asyncio.run(async_callable) + + async def _async_handler_executor_internal(self, callable_handler, arg_values): + with contextlib.redirect_stdout(io.StringIO()) as f: + result = await callable_handler(*arg_values) + captured_stdout = f.getvalue() + return result, captured_stdout def _sync_handler_executor(self, callable_handler, arg_values): with contextlib.redirect_stdout(io.StringIO()) as f: @@ -997,7 +1002,7 @@ def _sync_handler_executor(self, callable_handler, arg_values): captured_stdout = f.getvalue() return result, captured_stdout - def _call_handler_callable(self, event_type, target_component, instance_path, payload, thread_pool) -> Any: + def _call_handler_callable(self, event_type, target_component, instance_path, payload) -> Any: streamsyncuserapp = sys.modules.get("streamsyncuserapp") if streamsyncuserapp is None: raise ValueError("Couldn't find app module (streamsyncuserapp).") @@ -1039,9 +1044,7 @@ def _call_handler_callable(self, event_type, target_component, instance_path, pa result = None if is_async_handler: - async_handler = self._async_handler_executor(callable_handler, arg_values) - thread_pool_future = thread_pool.submit(asyncio.run, async_handler) - result, captured_stdout = thread_pool_future.result() + result, captured_stdout = self._async_handler_executor(callable_handler, arg_values) else: result, captured_stdout = self._sync_handler_executor(callable_handler, arg_values) @@ -1053,7 +1056,7 @@ def _call_handler_callable(self, event_type, target_component, instance_path, pa ) return result - def handle(self, ev: StreamsyncEvent, thread_pool) -> StreamsyncEventResult: + def handle(self, ev: StreamsyncEvent) -> StreamsyncEventResult: ok = True try: @@ -1073,7 +1076,7 @@ def handle(self, ev: StreamsyncEvent, thread_pool) -> StreamsyncEventResult: self._handle_binding(ev.type, target_component, instance_path, ev.payload) result = self._call_handler_callable( - ev.type, target_component, instance_path, ev.payload, thread_pool) + ev.type, target_component, instance_path, ev.payload) except BaseException: ok = False self.session_state.add_notification("error", "Runtime Error", f"An error occurred when processing event '{ ev.type }'.", From a5f9a1903ace4f66c0a8c6f8fb6bec56a893a781 Mon Sep 17 00:00:00 2001 From: mmikita95 Date: Thu, 8 Feb 2024 12:29:32 +0300 Subject: [PATCH 06/39] Escape key fix Using another slash character to escape existing one. --- src/streamsync/core.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/streamsync/core.py b/src/streamsync/core.py index 4e0a68b37..196856127 100644 --- a/src/streamsync/core.py +++ b/src/streamsync/core.py @@ -243,7 +243,7 @@ def apply(self, key) -> None: @staticmethod def escape_key(key): - return key.replace(".", "\.") + return key.replace(".", "\\.") def get_mutations_as_dict(self) -> Dict[str, Any]: serialised_mutations: Dict[str, Union[Dict, List, str, bool, int, float, None]] = {} @@ -1020,7 +1020,7 @@ def _call_handler_callable(self, event_type, target_component, instance_path, pa session_info = { "id": self.session.session_id, "cookies": self.session.cookies, - "headers": self.session.headers + "headers": self.session.headers2 } arg_values.append(session_info) From 2eaccc0ec7f53d9ec7b57e280af10de5b9115026 Mon Sep 17 00:00:00 2001 From: mmikita95 Date: Thu, 8 Feb 2024 12:31:31 +0300 Subject: [PATCH 07/39] Typo fix --- src/streamsync/core.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/streamsync/core.py b/src/streamsync/core.py index 196856127..bcc0013ae 100644 --- a/src/streamsync/core.py +++ b/src/streamsync/core.py @@ -1020,7 +1020,7 @@ def _call_handler_callable(self, event_type, target_component, instance_path, pa session_info = { "id": self.session.session_id, "cookies": self.session.cookies, - "headers": self.session.headers2 + "headers": self.session.headers } arg_values.append(session_info) From 91b023db1fd382d440dc092f295ace7b13a0a62d Mon Sep 17 00:00:00 2001 From: mmikita95 Date: Thu, 8 Feb 2024 16:24:44 +0300 Subject: [PATCH 08/39] Raw string literal approach instead of escaping --- src/streamsync/core.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/streamsync/core.py b/src/streamsync/core.py index bcc0013ae..a56469f1a 100644 --- a/src/streamsync/core.py +++ b/src/streamsync/core.py @@ -243,7 +243,7 @@ def apply(self, key) -> None: @staticmethod def escape_key(key): - return key.replace(".", "\\.") + return key.replace(".", r"\.") def get_mutations_as_dict(self) -> Dict[str, Any]: serialised_mutations: Dict[str, Union[Dict, List, str, bool, int, float, None]] = {} From 34a388a8a1231394fff5f05649f931455738a56b Mon Sep 17 00:00:00 2001 From: Mateusz Russak Date: Thu, 8 Feb 2024 16:19:41 +0100 Subject: [PATCH 09/39] docs: quickstart tutorial --- apps/quickstart/main.py | 76 ++++++ apps/quickstart/requirements.txt | 1 + apps/quickstart/static/README.md | 13 ++ apps/quickstart/static/favicon.png | Bin 0 -> 3780 bytes apps/quickstart/ui.json | 181 +++++++++++++++ docs/docs/.vitepress/config.ts | 6 + docs/docs/quickstart-tutorial.md | 358 +++++++++++++++++++++++++++++ 7 files changed, 635 insertions(+) create mode 100644 apps/quickstart/main.py create mode 100644 apps/quickstart/requirements.txt create mode 100644 apps/quickstart/static/README.md create mode 100644 apps/quickstart/static/favicon.png create mode 100644 apps/quickstart/ui.json create mode 100644 docs/docs/quickstart-tutorial.md diff --git a/apps/quickstart/main.py b/apps/quickstart/main.py new file mode 100644 index 000000000..340fc0b01 --- /dev/null +++ b/apps/quickstart/main.py @@ -0,0 +1,76 @@ +import streamsync as ss +import plotly.express as px +import plotly.graph_objects as go +from sklearn.linear_model import LogisticRegression +from sklearn.datasets import make_blobs +from streamsync.core import StreamsyncState + +COLOR = { + 0: '#3c64fa', + 1: '#00eba8', + 2: '#5a677c', + 3: '#ff8866', + 4: '#d4b2f7', + 5: '#c3e6ff', + 6: '#045758', + 7: '#001435', + 8: '#ec3d10', + 9: '#38006a' +} + +def line(x0, coef, intercept, c): + return (-(x0 * coef[c, 0]) - intercept[c]) / coef[c, 1] + +def update(state): + cluster_std = state['cluster_std'] + multi_class = state['multi_class'] + maxsize = int(state['number_of_points']) + groups = int(state['number_of_groups']) + X, y = make_blobs(n_samples=maxsize, n_features=2, cluster_std=cluster_std, centers=groups) + + clf = LogisticRegression( + solver="sag", max_iter=1000, random_state=42, multi_class=multi_class + ).fit(X, y) + state["training"] = "training score : %.3f (%s)" % (clf.score(X, y), multi_class); + coef = clf.coef_ + intercept = clf.intercept_ + + data = [] + for i in range(groups): + data.append( + go.Scatter( + x=X[y == i][:, 0], y=X[y==i][:, 1], mode='markers', name='Group '+str(i), hoverinfo='none', + marker=dict(color=COLOR[i], symbol='circle', size=10) + ) + ) + + for i in range(1 if groups < 3 else groups): + data.append(go.Scatter( + x=[-20, 20], y=[line(-20, coef, intercept, i), line(20, coef, intercept, i)], + mode='lines', line=dict(color=COLOR[i], width=2), name='Logistic Regression' + )) + + layout = go.Layout( + width=700,height=700, + hovermode='closest', hoverdistance=1, + xaxis=dict(title='Feature 1', range=[-20,20], fixedrange=True, + constrain="domain", scaleanchor="y",scaleratio=1), + yaxis=dict(title='Feature 2', range=[-20,20], fixedrange=True, + constrain="domain"), + paper_bgcolor='#EEEEEE', + margin=dict(l=30, r=30, t=30, b=30), + ) + + fig = go.Figure(data=data, layout=layout) + state['fig'] = fig + + +initial_state = ss.init_state({ + "multi_class_options": {"ovr": "One vs Rest", "multinomial": "Multinomial"}, + "multi_class": "ovr", + "number_of_groups": 2, + "number_of_points": 50, + "cluster_std": 2, +}) + +update(initial_state) diff --git a/apps/quickstart/requirements.txt b/apps/quickstart/requirements.txt new file mode 100644 index 000000000..4332499fe --- /dev/null +++ b/apps/quickstart/requirements.txt @@ -0,0 +1 @@ +scikit-learn==1.4.0 diff --git a/apps/quickstart/static/README.md b/apps/quickstart/static/README.md new file mode 100644 index 000000000..470b0690b --- /dev/null +++ b/apps/quickstart/static/README.md @@ -0,0 +1,13 @@ +# Serving static files + +You can use this folder to store files which will be served statically in the "/static" route. + +This is useful to store images and other files which will be served directly to the user of your application. + +For example, if you store an image named "myimage.jpg" in this folder, it'll be accessible as "static/myimage.jpg". +You can use this relative route as the source in an Image component. + +# Favicon + +The favicon is served from this folder. Feel free to change it. Keep in mind that web browsers cache favicons differently +than other resources. 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}, + "parentId": "t3zfxwztd4cozu6v", + "position": 2, + "handlers": { + "ss-number-change": "update" + }, + "binding": { + "eventType": "ss-number-change", + "stateRef": "cluster_std" + }, + "visible": true + }, + "nfkazqjoivq5b4k9": { + "id": "nfkazqjoivq5b4k9", + "type": "button", + "content": { + "text": "Regenerate" + }, + "parentId": "t3zfxwztd4cozu6v", + "position": 4, + "handlers": { + "ss-click": "update" + }, + "visible": true + } + } +} \ No newline at end of file diff --git a/docs/docs/.vitepress/config.ts b/docs/docs/.vitepress/config.ts index 203f31069..c39582ea2 100644 --- a/docs/docs/.vitepress/config.ts +++ b/docs/docs/.vitepress/config.ts @@ -55,6 +55,12 @@ export default { }, ], }, + { + text: "Tutorials", + items: [ + { text: "Quickstart tutorial", link: "/quickstart-tutorial" }, + ] + }, { text: "Reference", items: [ diff --git a/docs/docs/quickstart-tutorial.md b/docs/docs/quickstart-tutorial.md new file mode 100644 index 000000000..0bfc82d9d --- /dev/null +++ b/docs/docs/quickstart-tutorial.md @@ -0,0 +1,358 @@ +# Tutorial - Simple App +In this tutorial, we'll guide you through creating a logistic regression visualization tool using StreamSync. Logistic regression is a fundamental technique in machine learning for binary classification tasks, and visualizing its decision boundary can provide valuable insights into the model's behavior. + +First, make sure you have StreamSync installed. You can install it via pip: + +```bash +pip install "streamsync[ds]" +``` + +Now, let's get started with creating our logistic regression visualization tool. We'll break down the process into the following steps: + +1. Setup Project +2. Create UI +3. Define State and Bind it with UI +4. Implement Behavior in Python +5. Troubleshooting + +So, without further ado, + +## Project Setup + +To create our project, we will use the following commands: + +```bash +streamsync create logistic_regression +cd logistic_regression +``` + +In this project, we will be using the scikit-learn package for logistic regression, so let's install it before we start. Create a file `requirements.txt` and add the following line: + +``` +scikit-learn==1.4.0 +``` + +It's always a good idea to install Python packages in a virtual environment to avoid cluttering your system. + +```bash +python -m venv env +. ./env/bin/activate +``` + +After that, we can install our requirements. + +```bash +pip install -r requirements.txt +``` + +Once this is done, we can finally run the StreamSync editor using the command: + +```bash +streamsync edit . +``` + +This will run our StreamSync instance. Runtime logs can be observed in the terminal, and the app is available at http://localhost:3006. + +## UI Creation + +By default, StreamSync creates a simple application with a counter. To keep things easy, let's remove the contents from columns to make space for our new application. If you're unsure where to click to select a specific component on the screen, you can always use the `Component Tree` on the bottom left of the screen. The app should look something like this when you finish. + +Our app is made up of 2 columns, one with controls for our plot and the second with the plot itself. Half of the screen is way too much for controls, and the plot will be really small this way. To change the proportions of the columns, change the value of `Width (factor)` in the left column to `0.5`. This way, it will take just `1/3` of the screen. Proportions are calculated relative to each other. Each column, by default, has the value of this factor set to 1. So, when we set the left column to 0.5 and the right to 1, we will get a relation between column sizes of 1:2. + +Now let's add the rest of the components that we need: + +- To the right column, add a Plotly chart. +- To the left: + - 3 x Slider input. + - Dropdown input. + - Button. +- To the free space in our header, let's place a `message` component. + +Now we can configure components with some static settings. Starting with slider inputs, let's set all 3 sliders' configuration values to the following values: + +``` + "Label": "Number of groups", + "Minimum value": "2", + "Maximum value": "10", + "Step size": "1" + + "Label": "Number of points", + "Minimum value": "50", + "Maximum value": "1000", + "Step size": "1" + + "Label": "Cluster deviation", + "Minimum value": "0", + "Maximum value": "10", + "Step size": "0.1" +``` + +Then for the dropdown, we will set: + +``` +Label: "Type" +Options: set JSON and below type: +{"ovr": "One vs Rest", "multinomial": "Multinomial"} +``` + +For the button, set just: + +``` +Label: 'Regenerate' +``` + +## App State and Bindings + +Now, to create the application's initial state, let's open the code editor. In this tutorial, we will be using the built-in code editor, which can be found by clicking on the `Code` button at the top of the screen. + +Let's remove all code from there and start with: + +```python +import streamsync as ss + +initial_state = ss.init_state({ + "my_app": { + "title": "Logistic regression visualizer" + }, + "message": None, + "figure": None, + "multi_class": "ovr", + "number_of_groups": 2, + "number_of_points": 50, + "cluster_std": 2, +}) +``` + +For now, only the StreamSync import is needed, but the rest will be used later on. Notice that after pasting this code into the editor, when we click on `Save and run`, the header of our application will immediately change to "Logistic regression visualizer". This is because the Header has in its text property the value `@{my_app.title}`, which is template syntax that uses a value from the state. + +The rest of the values from the state are just initial values that we will use in all elements to enable communication between the frontend and backend. To do this for every component, we need to set bindings for them. For slider input, let's fill the bindings: + +- State element: `number_of_groups` +- State element: `number_of_points` +- State element: `cluster_std` + +For the dropdown: + +- State element: `multi_class` + +For the message: + +- Message: `@{message}` +- Visibility: `custom` +- Visibility value: `message` + +This way, the message component will show only if there is a message to display. + +For Plotly: + +- Graph specification: `@{figure}` + +This way, all of the components are connected to the application state. But for now, nothing happens, so it's not so exciting. Let's get started with behavior implementation. + +## Python Implementation + +Let's create a function that will update our application based on inputs and call it immediately. + +```python +def update(state): + state["message"] = "Hello, world!" + +update(initial_state) +``` + +Now notice that our Message showed up, and it is displaying the message "Hello, World!". To have better access to state parameters and to make it clear on which parameters our function depends, we define them at the top of the function. Notice that some of them need to be mapped to appropriate types. The slider input returns float values by default, so here, as we will need integers, we cast values to int. + +```python +def update(state): + cluster_std = state['cluster_std'] + multi_class = state['multi_class'] + number_of_points = int(state['number_of_points']) + number_of_groups = int(state['number_of_groups']) +``` + +In this example, we create a logistic regression, but the algorithm itself is not in the scope of this tutorial. So we will just use the basic function from the `scikit-learn` library. + +```python + X, y = make_blobs(n_samples=number_of_points, n_features=2, cluster_std=cluster_std, centers=groups) + + clf = LogisticRegression( + solver="sag", + + max_iter=1000, random_state=42, multi_class=multi_class + ).fit(X, y) + coef = clf.coef_ + intercept = clf.intercept_ + score = clf.score(X, y) +``` +`make_blobs` will generate `number_of_points` points on a 2D space that have a cluster deviation set to `cluster_std` and the number of groups defined by `number_of_groups`. After that, we generate a LogisticRegression, and we take parameters we need. For better knowledge about the process, let's display the training score as a message. + +```python + state["message"] = "training score : %.3f (%s)" % (score, multi_class) +``` + +The algorithm will generate one or many lines depending on how many groups we have. To be able to draw those lines, let's create a helper function: + +```python +def _line(x0, coef, intercept, c): + return (-(x0 * coef[c, 0]) - intercept[c]) / coef[c, 1] +``` + +This function is a helper function meant to be used on the backend. The underscore at the beginning of its name tells the system that this function is private, and the frontend won't know about its existence. + +To make the plot more readable, let's quickly define some colors for our plots: + +```python +COLOR = { + 0: '#3c64fa', + 1: '#00eba8', + 2: '#5a677c', + 3: '#ff8866', + 4: '#d4b2f7', + 5: '#c3e6ff', + 6: '#045758', + 7: '#001435', + 8: '#ec3d10', + 9: '#38006a' +} +``` + +Now, let's create a plot for our logistic regressions. For that, we will use Plotly graph_objects to have full control over what will be included in our plot. + +```python + data = [] + for i in range(groups): + data.append( + go.Scatter( + x=X[y == i][:, 0], y=X[y==i][:, 1], mode='markers', name='Group '+str(i), hoverinfo='none', + marker=dict(color=COLOR[i], symbol='circle', size=10) + ) + ) + + for i in range(1 if groups < 3 else groups): + data.append(go.Scatter( + x=[-20, 20], y=[line(-20, coef, intercept, i), line(20, coef, intercept, i)], + mode='lines', line=dict(color=COLOR[i], width=2), name='Logistic Regression' + )) + + layout = go.Layout( + width=700,height=700, + hovermode='closest', hoverdistance=1, + xaxis=dict(title='Feature 1', range=[-20,20], fixedrange=True, + constrain="domain", scaleanchor="y",scaleratio=1), + yaxis=dict(title='Feature 2', range=[-20,20], fixedrange=True, + constrain="domain"), + paper_bgcolor='#EEEEEE', + margin=dict(l=30, r=30, t=30, b=30), + ) + + fig = go.Figure(data=data, layout=layout) + state['figure'] = fig +``` + +After saving and running the code, we should get something like this: + +But as you could notice, when we change our slider values, nothing happens. It's because our function is currently called only once on app initialization and not after input changes. To change this behavior, let's set Event handler `ss-number-change` in all slider inputs to "update", which is the name of our function in the Python code. Notice that `_line` is not visible there because it's private to the backend. If we would change its name to `line`, then it would be visible on this list. + +Set also event handler for dropdown input `ss-option-change` and `ss-click` in the button, also to `update`. + +And done! You can have fun with your new application. Feel free to modify and play with other options. + +Final code for the application should look something like this: + +```python +import streamsync as ss +import plotly.express as px +import plotly.graph_objects as go +from sklearn.linear_model import LogisticRegression +from sklearn.datasets import make_blobs + +COLOR = { + 0: '#3c64fa', + 1: '#00eba8', + 2: '#5a677c', + 3: '#ff8866', + 4: '#d4b2f7', + 5: '#c3e6ff', + 6: '#045758', + 7: '#001435', + 8: '#ec3d10', + 9: '#38006a' +} + +def line(x0, coef, intercept, c): + return (-(x0 * coef[c, 0]) - intercept[c]) / coef[c, 1] + +def update(state): + cluster_std = state['cluster_std'] + multi_class = state['multi_class'] + maxsize = int(state['number_of_points']) + groups = int(state['number_of_groups']) + X, y = make_blobs(n_samples=maxsize, n_features=2, cluster_std=cluster_std, centers=groups) + + clf = LogisticRegression( + solver="sag", max_iter=1000, random_state=42, multi_class=multi_class + ).fit(X, y) + state["training"] = "training score : %.3f (%s)" % (clf.score(X, y), multi_class); + coef = clf.coef_ + intercept = clf.intercept_ + + data = [] + for i in range(groups): + data.append( + go.Scatter( + x=X[y == i][:, 0], y=X[y==i][:, 1], mode='markers', name='Group '+str(i), hoverinfo='none', + marker=dict(color=COLOR[i], symbol='circle', size=10) + ) + ) + + for i in range(1 if groups < 3 else groups): + data.append(go.Scatter( + x=[-20, 20], y=[line(-20, coef, intercept, i), line(20, coef, intercept, i)], + mode='lines', line=dict(color=COLOR[i], width=2), name='Logistic Regression' + )) + + layout = go.Layout( + width=700,height=700, + hovermode='closest', hoverdistance=1, + xaxis=dict(title='Feature 1', range=[-20,20], fixedrange=True, + constrain="domain", scaleanchor="y",scaleratio=1), + yaxis=dict(title='Feature 2', range=[-20,20], fixedrange=True, + constrain="domain"), + paper_bgcolor='#EEEEEE', + margin=dict(l=30, r=30, t=30, b=30), + ) + + fig = go.Figure(data=data, layout=layout) + state['fig'] = fig + + +initial_state = ss.init_state({ + "multi_class_options": {"ovr": "One vs + + Rest", "multinomial": "Multinomial"}, + "multi_class": "ovr", + "number_of_groups": 2, + "number_of_points": 50, + "cluster_std": 2, +}) + +update(initial_state) +``` + +## Troubleshooting + +### Errors +When your code has an error, you will be notified with a notification in the app, and also in the console, you can find useful logs. + +### Debugging +To check some intermediate values in your Python code, you can just use `print()` function. All logs will be available in the terminal. + + +## Conclusion +Congratulations! You've successfully created a logistic regression visualization tool using StreamSync. You can further customize and enhance this tool to suit your specific needs. + +## Additional Resources +- [Scikit-learn Documentation](https://scikit-learn.org/stable/) +- [Plotly Documentation](https://plotly.com/python/) + +Feel free to explore these resources to deepen your understanding and expand your capabilities. 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We'll break down the process into the following steps: 1. Setup Project -2. Create UI -3. Define State and Bind it with UI -4. Implement Behavior in Python +2. UI Creation +3. App state and bindings +4. Python implementation 5. Troubleshooting -So, without further ado, +So, without further ado, let's jump into it. ## Project Setup @@ -25,20 +25,22 @@ To create our project, we will use the following commands: streamsync create logistic_regression cd logistic_regression ``` - -In this project, we will be using the scikit-learn package for logistic regression, so let's install it before we start. Create a file `requirements.txt` and add the following line: +Commands will create basic template of app project with initial file structure. +In this project, we will be using the scikit-learn package for logistic regression, so let's install it before we start. +Create a file `requirements.txt` and add the following line: ``` scikit-learn==1.4.0 ``` -It's always a good idea to install Python packages in a virtual environment to avoid cluttering your system. +It's always a good idea to install Python packages within a virtual environment to prevent cluttering your system. ```bash python -m venv env . ./env/bin/activate ``` - +After running those commands our terminal will be using virtual environment and all packages that we install will be vailable only here. +If you close the terminal you will need to source activate script again. After that, we can install our requirements. ```bash @@ -53,13 +55,24 @@ streamsync edit . This will run our StreamSync instance. Runtime logs can be observed in the terminal, and the app is available at http://localhost:3006. +![newly created application](/images/quickstart/new_app.png) + ## UI Creation + By default, StreamSync creates a simple application with a counter. To keep things easy, let's remove the contents from columns to make space for our new application. If you're unsure where to click to select a specific component on the screen, you can always use the `Component Tree` on the bottom left of the screen. The app should look something like this when you finish. -Our app is made up of 2 columns, one with controls for our plot and the second with the plot itself. Half of the screen is way too much for controls, and the plot will be really small this way. To change the proportions of the columns, change the value of `Width (factor)` in the left column to `0.5`. This way, it will take just `1/3` of the screen. Proportions are calculated relative to each other. Each column, by default, has the value of this factor set to 1. So, when we set the left column to 0.5 and the right to 1, we will get a relation between column sizes of 1:2. +![empty app](/images/quickstart/empty_app.png) + +This app will be made up of 2 columns, one with controls for our plot and the second with the plot itself. Half of the screen is way too much for controls, and the plot will be really small this way. To change the proportions of the columns, change the value of `Width (factor)` in the left column to `0.5`. -Now let's add the rest of the components that we need: +![width controls](/images/quickstart/column_width.png) + +This way, it will take just `1/3` of the screen. Proportions are calculated relative to each other. Each column, by default, has the value of this factor set to 1. So, when we set the left column to 0.5 and the right to 1, we will get a relation between column sizes of 1:2. + +![placing elements](/images/quickstart/placing_elements.png) + +Now let's add the rest of the components: - To the right column, add a Plotly chart. - To the left: @@ -68,23 +81,25 @@ Now let's add the rest of the components that we need: - Button. - To the free space in our header, let's place a `message` component. +![ui boilerplate](/images/quickstart/ui_boilerplate.png) + Now we can configure components with some static settings. Starting with slider inputs, let's set all 3 sliders' configuration values to the following values: ``` - "Label": "Number of groups", - "Minimum value": "2", - "Maximum value": "10", - "Step size": "1" - - "Label": "Number of points", - "Minimum value": "50", - "Maximum value": "1000", - "Step size": "1" - - "Label": "Cluster deviation", - "Minimum value": "0", - "Maximum value": "10", - "Step size": "0.1" +Label: "Number of groups", +Minimum value: "2", +Maximum value: "10", +Step size: "1" + +Label: "Number of points", +Minimum value: "50", +Maximum value: "1000", +Step size: "1" + +Label: "Cluster deviation", +Minimum value: "0", +Maximum value: "10", +Step size: "0.1" ``` Then for the dropdown, we will set: @@ -95,7 +110,7 @@ Options: set JSON and below type: {"ovr": "One vs Rest", "multinomial": "Multinomial"} ``` -For the button, set just: +And in the end lets rename the button. ``` Label: 'Regenerate' @@ -105,6 +120,8 @@ Label: 'Regenerate' Now, to create the application's initial state, let's open the code editor. In this tutorial, we will be using the built-in code editor, which can be found by clicking on the `Code` button at the top of the screen. +![code editor](/images/quickstart/code_editor.png) + Let's remove all code from there and start with: ```python @@ -149,7 +166,7 @@ For Plotly: This way, all of the components are connected to the application state. But for now, nothing happens, so it's not so exciting. Let's get started with behavior implementation. -## Python Implementation +## Python implementation Let's create a function that will update our application based on inputs and call it immediately. From 538187642e8673df6cdaed267733b8f315c8c526 Mon Sep 17 00:00:00 2001 From: Mikita Makiej <157150795+mmikita95@users.noreply.github.com> Date: Fri, 9 Feb 2024 09:25:52 +0300 Subject: [PATCH 11/39] Update event-handlers.md Adding a section regarding asynchronous handlers --- docs/docs/event-handlers.md | 22 ++++++++++++++++++++++ 1 file changed, 22 insertions(+) diff --git a/docs/docs/event-handlers.md b/docs/docs/event-handlers.md index 6e84ba398..78837ea64 100644 --- a/docs/docs/event-handlers.md +++ b/docs/docs/event-handlers.md @@ -137,3 +137,25 @@ def handle_slowly(state): ``` The code above will set `message` to "Loading...", then to "Completed". + +## Asynchronous Event Handlers + +Streamsync supports asynchronous event handlers, allowing for non-blocking I/O operations directly within event handlers. This is particularly useful for tasks such as fetching data from a database, making HTTP requests, or performing any other I/O bound operation that can benefit from asynchronous execution. + +### Defining an Asynchronous Handler + +An asynchronous event handler is defined with the standard `async` keyword syntax. + +```py +# An asynchronous event handler for performing an I/O bound operation +async def handle_async_click(state): + data = await fetch_data() + state["data"] = data +``` + +In the example above, `fetch_data()` is an asynchronous function that retrieves data, potentially from a remote source. The `await` keyword is used to wait for the operation to complete without blocking the main thread, allowing other tasks to run concurrently. + +### Awaitable Objects + +You can use any awaitable object within an async event handler. This includes the output of any function defined with `async def`, or objects with an `__await__` method. This makes it easy to integrate with asynchronous libraries and frameworks. + From 70242a38681d6f80512678ee54caab041878f35b Mon Sep 17 00:00:00 2001 From: mmikita95 Date: Fri, 9 Feb 2024 11:30:46 +0300 Subject: [PATCH 12/39] Adding async handler to testapp & async handler test --- tests/test_app_runner.py | 43 ++++++++++++++++++++++++++++++++++++++++ tests/testapp/main.py | 6 ++++++ tests/testapp/ui.json | 32 ++++++++++++++++++++++++++---- 3 files changed, 77 insertions(+), 4 deletions(-) diff --git a/tests/test_app_runner.py b/tests/test_app_runner.py index abc404d4c..51a39ef18 100644 --- a/tests/test_app_runner.py +++ b/tests/test_app_runner.py @@ -17,6 +17,15 @@ class TestAppRunner: {"componentId": "6010765e-9ac3-4570-84bf-913ae404e03a", "instanceNumber": 0}, {"componentId": "c282ad31-2487-4296-a944-508c167c43be", "instanceNumber": 0} ] + + async_handler_click_path = [ + {"componentId": "root", "instanceNumber": 0}, + {"componentId": "bb4d0e86-619e-4367-a180-be28ab6059f4", "instanceNumber": 0}, + {"componentId": "92a2c0c8-7ab4-4865-b7eb-ed437408c8f5", "instanceNumber": 0}, + {"componentId": "d1e01ce1-fab1-4a6e-91a1-1f45f9e57aa5", "instanceNumber": 0}, + {"componentId": "9c30af6d-4ee5-4782-9169-0f361d67fa76", "instanceNumber": 0}, + {"componentId": "nyo5vc79sb031yz8", "instanceNumber": 0} + ] proposed_session_id = "c13a280fe17ec663047ec14de15cd93ad686fecf5f9a4dbf262d3a86de8cb577" def test_init_wrong_path(self) -> None: @@ -103,6 +112,40 @@ async def test_valid_event(self) -> None: "+b.pet_count") == 129673 ar.shut_down() + @pytest.mark.asyncio + async def test_async_handler(self) -> None: + ar = AppRunner(test_app_dir, "run") + ar.load() + si = InitSessionRequest( + type="sessionInit", + payload=InitSessionRequestPayload( + cookies={}, + headers={}, + proposedSessionId=self.proposed_session_id + ) + ) + sres = await ar.dispatch_message(None, si) + assert sres.status == "ok" + assert sres.payload.model_dump().get("sessionId") == self.proposed_session_id + + # Firing an event to bypass "initial" state mutations + ev_req = EventRequest(type="event", payload=StreamsyncEvent( + type="ss-number-change", + instancePath=self.numberinput_instance_path, + payload="129673" + )) + ev_res = await ar.dispatch_message(self.proposed_session_id, ev_req) + + ev_req = EventRequest(type="event", payload=StreamsyncEvent( + type="ss-click", + instancePath=self.async_handler_click_path + )) + ev_res = await ar.dispatch_message(self.proposed_session_id, ev_req) + assert ev_res.status == "ok" + assert ev_res.payload.result.get("ok") == True + assert "+counter" in ev_res.payload.mutations + ar.shut_down() + @pytest.mark.asyncio async def test_bad_event_handler(self) -> None: ar = AppRunner(test_app_dir, "run") diff --git a/tests/testapp/main.py b/tests/testapp/main.py index 4efd171b4..1cfd07a4c 100644 --- a/tests/testapp/main.py +++ b/tests/testapp/main.py @@ -6,6 +6,7 @@ import logging import streamsync.core import altair as alt +import asyncio @ss.session_verifier @@ -93,6 +94,11 @@ def handle_form_submit(state): def handle_add_to_list(state, context): state["order_list"] += [context["itemId"]] + +async def test_async_handler(state): + await asyncio.sleep(3) + state["counter"] += 1*my_var + # Filters data and triggers updates. diff --git a/tests/testapp/ui.json b/tests/testapp/ui.json index 11d36bee7..8385f5179 100644 --- a/tests/testapp/ui.json +++ b/tests/testapp/ui.json @@ -2050,7 +2050,7 @@ "text": "Increment" }, "parentId": "9c30af6d-4ee5-4782-9169-0f361d67fa76", - "position": 8, + "position": 9, "handlers": { "click": "increment" }, @@ -2752,7 +2752,7 @@ "options": "{\n \"ar\": \"Argentina\",\n \"uk\": \"United Kingdom\"\n}" }, "parentId": "9c30af6d-4ee5-4782-9169-0f361d67fa76", - "position": 9, + "position": 11, "handlers": { "ss-option-change": "update_cities" }, @@ -2766,7 +2766,7 @@ "options": "@{cities}" }, "parentId": "9c30af6d-4ee5-4782-9169-0f361d67fa76", - "position": 10, + "position": 12, "handlers": {}, "visible": true }, @@ -2802,7 +2802,7 @@ "passwordMode": "yes" }, "parentId": "9c30af6d-4ee5-4782-9169-0f361d67fa76", - "position": 11, + "position": 13, "handlers": {}, "visible": true }, @@ -2836,6 +2836,30 @@ "stateRef": "b.language" }, "visible": true + }, + "nyo5vc79sb031yz8": { + "id": "nyo5vc79sb031yz8", + "type": "button", + "content": { + "text": "Increment asynchronically" + }, + "parentId": "9c30af6d-4ee5-4782-9169-0f361d67fa76", + "position": 10, + "handlers": { + "ss-click": "test_async_handler" + }, + "visible": true + }, + "3apnnxxg7pubdeqp": { + "id": "3apnnxxg7pubdeqp", + "type": "text", + "parentId": "9c30af6d-4ee5-4782-9169-0f361d67fa76", + "content": { + "text": "@{counter}" + }, + "handlers": {}, + "position": 8, + "visible": true } } } \ No newline at end of file From a294ddb1e014505ed7f579dc01ed2f3dbb84922b Mon Sep 17 00:00:00 2001 From: Mateusz Russak Date: Fri, 9 Feb 2024 12:36:59 +0100 Subject: [PATCH 13/39] docs: changes according to the review --- apps/quickstart/main.py | 12 ++-- docs/docs/quickstart-tutorial.md | 112 ++++++++++++------------------- 2 files changed, 48 insertions(+), 76 deletions(-) diff --git a/apps/quickstart/main.py b/apps/quickstart/main.py index 340fc0b01..98961653d 100644 --- a/apps/quickstart/main.py +++ b/apps/quickstart/main.py @@ -1,9 +1,7 @@ import streamsync as ss -import plotly.express as px import plotly.graph_objects as go from sklearn.linear_model import LogisticRegression from sklearn.datasets import make_blobs -from streamsync.core import StreamsyncState COLOR = { 0: '#3c64fa', @@ -24,9 +22,9 @@ def line(x0, coef, intercept, c): def update(state): cluster_std = state['cluster_std'] multi_class = state['multi_class'] - maxsize = int(state['number_of_points']) - groups = int(state['number_of_groups']) - X, y = make_blobs(n_samples=maxsize, n_features=2, cluster_std=cluster_std, centers=groups) + number_of_points = int(state['number_of_points']) + number_of_groups = int(state['number_of_groups']) + X, y = make_blobs(n_samples=number_of_points, n_features=2, cluster_std=cluster_std, centers=number_of_groups) clf = LogisticRegression( solver="sag", max_iter=1000, random_state=42, multi_class=multi_class @@ -36,7 +34,7 @@ def update(state): intercept = clf.intercept_ data = [] - for i in range(groups): + for i in range(number_of_groups): data.append( go.Scatter( x=X[y == i][:, 0], y=X[y==i][:, 1], mode='markers', name='Group '+str(i), hoverinfo='none', @@ -44,7 +42,7 @@ def update(state): ) ) - for i in range(1 if groups < 3 else groups): + for i in range(1 if number_of_groups < 3 else number_of_groups): data.append(go.Scatter( x=[-20, 20], y=[line(-20, coef, intercept, i), line(20, coef, intercept, i)], mode='lines', line=dict(color=COLOR[i], width=2), name='Logistic Regression' diff --git a/docs/docs/quickstart-tutorial.md b/docs/docs/quickstart-tutorial.md index fb332aae1..f1e324704 100644 --- a/docs/docs/quickstart-tutorial.md +++ b/docs/docs/quickstart-tutorial.md @@ -1,13 +1,13 @@ # Tutorial - Simple App -In this tutorial, we'll guide you through creating a logistic regression visualization tool using StreamSync. Logistic regression is a fundamental technique in machine learning for binary classification tasks, and visualizing its decision boundary can provide valuable insights into the model's behavior. +In this tutorial, we'll guide you through creating a logistic regression visualisation tool using Streamsync. Logistic regression is a fundamental technique in machine learning for binary classification tasks, and visualising its decision boundary can provide valuable insights into the model's behaviour. -First, make sure you have StreamSync installed. You can install it via pip: +First, make sure you have Streamsync installed. You can install it via pip: ```bash pip install "streamsync[ds]" ``` -Now, let's get started with creating our logistic regression visualization tool. We'll break down the process into the following steps: +Now, let's get started with creating our logistic regression visualisation tool. We'll break down the process into the following steps: 1. Setup Project 2. UI Creation @@ -25,7 +25,7 @@ To create our project, we will use the following commands: streamsync create logistic_regression cd logistic_regression ``` -Commands will create basic template of app project with initial file structure. +Commands will create basic template of app project with initial file structure. In this project, we will be using the scikit-learn package for logistic regression, so let's install it before we start. Create a file `requirements.txt` and add the following line: @@ -33,34 +33,25 @@ Create a file `requirements.txt` and add the following line: scikit-learn==1.4.0 ``` -It's always a good idea to install Python packages within a virtual environment to prevent cluttering your system. - -```bash -python -m venv env -. ./env/bin/activate -``` -After running those commands our terminal will be using virtual environment and all packages that we install will be vailable only here. -If you close the terminal you will need to source activate script again. After that, we can install our requirements. ```bash pip install -r requirements.txt ``` -Once this is done, we can finally run the StreamSync editor using the command: +Once this is done, we can finally run the Streamsync editor using the command: ```bash streamsync edit . ``` -This will run our StreamSync instance. Runtime logs can be observed in the terminal, and the app is available at http://localhost:3006. +This will run our Streamsync instance. Runtime logs can be observed in the terminal, and the app is available at http://localhost:3006. ![newly created application](/images/quickstart/new_app.png) ## UI Creation - -By default, StreamSync creates a simple application with a counter. To keep things easy, let's remove the contents from columns to make space for our new application. If you're unsure where to click to select a specific component on the screen, you can always use the `Component Tree` on the bottom left of the screen. The app should look something like this when you finish. +By default, Streamsync creates a simple application with a counter. To keep things easy, let's remove the contents from columns to make space for our new application. If you're unsure where to click to select a specific component on the screen, you can always use the `Component Tree` on the bottom left of the screen. The app should look something like this when you finish. ![empty app](/images/quickstart/empty_app.png) @@ -68,57 +59,48 @@ This app will be made up of 2 columns, one with controls for our plot and the se ![width controls](/images/quickstart/column_width.png) -This way, it will take just `1/3` of the screen. Proportions are calculated relative to each other. Each column, by default, has the value of this factor set to 1. So, when we set the left column to 0.5 and the right to 1, we will get a relation between column sizes of 1:2. +This way, it will take just `1/3` of the screen. Proportions are calculated relative to each other. Each _Column_, by default, has the value of this factor set to 1. So, when we set the left column to 0.5 and the right to 1, we will get a relation between column sizes of 1:2. ![placing elements](/images/quickstart/placing_elements.png) Now let's add the rest of the components: -- To the right column, add a Plotly chart. +- To the right column, add a _Plotly chart_. - To the left: - - 3 x Slider input. - - Dropdown input. - - Button. -- To the free space in our header, let's place a `message` component. + - 3 x _Slider input_ + - _Dropdown input_ + - _Button_. +- To the free space in our header, let's place a _Message_ component. ![ui boilerplate](/images/quickstart/ui_boilerplate.png) -Now we can configure components with some static settings. Starting with slider inputs, let's set all 3 sliders' configuration values to the following values: +Now we can configure components with some static settings. Starting with slider inputs, let's set all 3 sliders configuration values to the following values: -``` -Label: "Number of groups", -Minimum value: "2", -Maximum value: "10", -Step size: "1" - -Label: "Number of points", -Minimum value: "50", -Maximum value: "1000", -Step size: "1" - -Label: "Cluster deviation", -Minimum value: "0", -Maximum value: "10", -Step size: "0.1" -``` +| Property | Value (Slider 1) | Value (Slider 2) | Value (Slider 3) | +| :-----------: | :------------------- | :------------------- | :------------------- | +| Label | Number of groups | Number of points | Cluster deviation | +| Minimum value | 2 | 50 | 0 | +| Maximum value | 10 | 1000 | 10 | +| Step size | 1 | 1 | 0.1 | Then for the dropdown, we will set: -``` -Label: "Type" -Options: set JSON and below type: -{"ovr": "One vs Rest", "multinomial": "Multinomial"} -``` +| Property | Value | +| :-----------: | :------------------- | +| Label | Type | +| Options | set `JSON` and below type: | +| | `{"ovr": "One vs Rest", "multinomial": "Multinomial"}` | + And in the end lets rename the button. -``` -Label: 'Regenerate' -``` +| Property | Value | +| :-----------: | :------------------- | +| Label | Regenerate | ## App State and Bindings -Now, to create the application's initial state, let's open the code editor. In this tutorial, we will be using the built-in code editor, which can be found by clicking on the `Code` button at the top of the screen. +Now, to create the application's initial state, let's open the code editor. In this tutorial, we will be using the built-in code editor, which can be found by clicking on the 'Code' button at the top of the screen. However, if you prefer using your favourite editor, you can simply edit the `main.py` file, and the frontend will instantly refresh with every write to the file. ![code editor](/images/quickstart/code_editor.png) @@ -139,32 +121,31 @@ initial_state = ss.init_state({ "cluster_std": 2, }) ``` +For now, only the Streamsync import is needed, but the rest will be used later on. Notice that after pasting this code into the editor, when we click on `Save and run`, the header of our application will immediately change to "Logistic regression visualiser". This is because the Header has in its text property the value `@{my_app.title}`, which is template syntax that uses a value from the state. -For now, only the StreamSync import is needed, but the rest will be used later on. Notice that after pasting this code into the editor, when we click on `Save and run`, the header of our application will immediately change to "Logistic regression visualizer". This is because the Header has in its text property the value `@{my_app.title}`, which is template syntax that uses a value from the state. - -The rest of the values from the state are just initial values that we will use in all elements to enable communication between the frontend and backend. To do this for every component, we need to set bindings for them. For slider input, let's fill the bindings: +The rest of the values from the state are just initial values that we will use in all elements to enable communication between the frontend and backend. To do this for every component, we need to set bindings for them. For _Slider input_, let's fill the bindings: - State element: `number_of_groups` - State element: `number_of_points` - State element: `cluster_std` -For the dropdown: +For the _Dropdown input_: - State element: `multi_class` -For the message: +For the _Message_: - Message: `@{message}` - Visibility: `custom` - Visibility value: `message` -This way, the message component will show only if there is a message to display. +This way, the _Message_ component will show only if there is a message to display. -For Plotly: +For _Plotly graph_: - Graph specification: `@{figure}` -This way, all of the components are connected to the application state. But for now, nothing happens, so it's not so exciting. Let's get started with behavior implementation. +This way, all of the components are connected to the application state. But for now, nothing happens, so it's not so exciting. Let's get started with behaviour implementation. ## Python implementation @@ -176,8 +157,7 @@ def update(state): update(initial_state) ``` - -Now notice that our Message showed up, and it is displaying the message "Hello, World!". To have better access to state parameters and to make it clear on which parameters our function depends, we define them at the top of the function. Notice that some of them need to be mapped to appropriate types. The slider input returns float values by default, so here, as we will need integers, we cast values to int. +Now notice that _Message_ showed up, and it is displaying the message "Hello, World!". To have better access to state parameters and to make it clear on which parameters our function depends, we define them at the top of the function. Notice that some of them need to be mapped to appropriate types. The _Slider input_ returns float values by default, so here, as we will need integers, we cast values to int. ```python def update(state): @@ -186,7 +166,6 @@ def update(state): number_of_points = int(state['number_of_points']) number_of_groups = int(state['number_of_groups']) ``` - In this example, we create a logistic regression, but the algorithm itself is not in the scope of this tutorial. So we will just use the basic function from the `scikit-learn` library. ```python @@ -213,10 +192,9 @@ The algorithm will generate one or many lines depending on how many groups we ha def _line(x0, coef, intercept, c): return (-(x0 * coef[c, 0]) - intercept[c]) / coef[c, 1] ``` +This function is a helper function meant to be used on the backend. The underscore at the beginning of its name tells Streamsync that this function is private, and the frontend won't know about its existence. -This function is a helper function meant to be used on the backend. The underscore at the beginning of its name tells the system that this function is private, and the frontend won't know about its existence. - -To make the plot more readable, let's quickly define some colors for our plots: +To make the plot more readable, let's quickly define some colours for our plots: ```python COLOR = { @@ -232,8 +210,7 @@ COLOR = { 9: '#38006a' } ``` - -Now, let's create a plot for our logistic regressions. For that, we will use Plotly graph_objects to have full control over what will be included in our plot. +Now, let's create a plot for our logistic regressions. For that, we will use `plotly.graph_objects` to have full control over what will be included in our plot. ```python data = [] @@ -265,10 +242,9 @@ Now, let's create a plot for our logistic regressions. For that, we will use Plo fig = go.Figure(data=data, layout=layout) state['figure'] = fig ``` - After saving and running the code, we should get something like this: -But as you could notice, when we change our slider values, nothing happens. It's because our function is currently called only once on app initialization and not after input changes. To change this behavior, let's set Event handler `ss-number-change` in all slider inputs to "update", which is the name of our function in the Python code. Notice that `_line` is not visible there because it's private to the backend. If we would change its name to `line`, then it would be visible on this list. +But as you could notice, when we change our slider values, nothing happens. It's because our function is currently called only once on app initialisation and not after input changes. To change this behaviour, let's set the event handler for `ss-number-change` in all slider inputs to `update`, which is the name of our function in the Python code. Notice that `_line` is not visible there because it's private to the backend. If we would change its name to `line`, then it would be visible on this list. Set also event handler for dropdown input `ss-option-change` and `ss-click` in the button, also to `update`. @@ -278,7 +254,6 @@ Final code for the application should look something like this: ```python import streamsync as ss -import plotly.express as px import plotly.graph_objects as go from sklearn.linear_model import LogisticRegression from sklearn.datasets import make_blobs @@ -364,9 +339,8 @@ When your code has an error, you will be notified with a notification in the app ### Debugging To check some intermediate values in your Python code, you can just use `print()` function. All logs will be available in the terminal. - ## Conclusion -Congratulations! You've successfully created a logistic regression visualization tool using StreamSync. You can further customize and enhance this tool to suit your specific needs. +Congratulations! You've successfully created a logistic regression visualisation tool using Streamsync. You can further customise and enhance this tool to suit your specific needs. ## Additional Resources - [Scikit-learn Documentation](https://scikit-learn.org/stable/) From 5c1e705a905051a41f085b001c26f71c7b13e609 Mon Sep 17 00:00:00 2001 From: Mateusz Russak Date: Fri, 9 Feb 2024 12:50:26 +0100 Subject: [PATCH 14/39] docs: unification of property values styles --- docs/docs/quickstart-tutorial.md | 143 +++++++++++++++++++++++-------- 1 file changed, 108 insertions(+), 35 deletions(-) diff --git a/docs/docs/quickstart-tutorial.md b/docs/docs/quickstart-tutorial.md index f1e324704..a1ded58b5 100644 --- a/docs/docs/quickstart-tutorial.md +++ b/docs/docs/quickstart-tutorial.md @@ -125,25 +125,31 @@ For now, only the Streamsync import is needed, but the rest will be used later o The rest of the values from the state are just initial values that we will use in all elements to enable communication between the frontend and backend. To do this for every component, we need to set bindings for them. For _Slider input_, let's fill the bindings: -- State element: `number_of_groups` -- State element: `number_of_points` -- State element: `cluster_std` +| Property | Value (Slider 1) | Value (Slider 2) | Value (Slider 3) | +| :-----------: | :------------------- | :------------------- | :------------------- | +| State element | `number_of_groups` | `number_of_points` | `cluster_std` | For the _Dropdown input_: -- State element: `multi_class` +| Property | Value | +| :-----------: | :------------------- | +| State element | `multi_class` | For the _Message_: -- Message: `@{message}` -- Visibility: `custom` -- Visibility value: `message` +| Property | Value | +| :-----------: | :------------------- | +| Message | `@{message}` | +| Visibility | `custom` | +| Visibility value | `message` | This way, the _Message_ component will show only if there is a message to display. For _Plotly graph_: -- Graph specification: `@{figure}` +| Property | Value | +| :-----------: | :------------------- | +| Graph specification | `@{figure}` | This way, all of the components are connected to the application state. But for now, nothing happens, so it's not so exciting. Let's get started with behaviour implementation. @@ -169,13 +175,20 @@ def update(state): In this example, we create a logistic regression, but the algorithm itself is not in the scope of this tutorial. So we will just use the basic function from the `scikit-learn` library. ```python - X, y = make_blobs(n_samples=number_of_points, n_features=2, cluster_std=cluster_std, centers=groups) + X, y = make_blobs( + n_samples=number_of_points, + n_features=2, + cluster_std=cluster_std, + centers=groups + ) clf = LogisticRegression( solver="sag", - - max_iter=1000, random_state=42, multi_class=multi_class + max_iter=1000, + random_state=42, + multi_class=multi_class ).fit(X, y) + coef = clf.coef_ intercept = clf.intercept_ score = clf.score(X, y) @@ -217,24 +230,48 @@ Now, let's create a plot for our logistic regressions. For that, we will use `pl for i in range(groups): data.append( go.Scatter( - x=X[y == i][:, 0], y=X[y==i][:, 1], mode='markers', name='Group '+str(i), hoverinfo='none', - marker=dict(color=COLOR[i], symbol='circle', size=10) + x=X[y == i][:, 0], + y=X[y==i][:, 1], + mode='markers', + name='Group '+str(i), + hoverinfo='none', + marker=dict( + color=COLOR[i], + symbol='circle', + size=10 + ) ) ) for i in range(1 if groups < 3 else groups): data.append(go.Scatter( - x=[-20, 20], y=[line(-20, coef, intercept, i), line(20, coef, intercept, i)], - mode='lines', line=dict(color=COLOR[i], width=2), name='Logistic Regression' + x=[-20, 20], + y=[ + line(-20, coef, intercept, i), + line(20, coef, intercept, i) + ], + mode='lines', + line=dict(color=COLOR[i], width=2), + name='Logistic Regression' )) layout = go.Layout( width=700,height=700, hovermode='closest', hoverdistance=1, - xaxis=dict(title='Feature 1', range=[-20,20], fixedrange=True, - constrain="domain", scaleanchor="y",scaleratio=1), - yaxis=dict(title='Feature 2', range=[-20,20], fixedrange=True, - constrain="domain"), + xaxis=dict( + title='Feature 1', + range=[-20,20], + fixedrange=True, + constrain="domain", + scaleanchor="y", + scaleratio=1 + ), + yaxis=dict( + title='Feature 2', + range=[-20,20], + fixedrange=True, + constrain="domain" + ), paper_bgcolor='#EEEEEE', margin=dict(l=30, r=30, t=30, b=30), ) @@ -271,7 +308,7 @@ COLOR = { 9: '#38006a' } -def line(x0, coef, intercept, c): +def _line(x0, coef, intercept, c): return (-(x0 * coef[c, 0]) - intercept[c]) / coef[c, 1] def update(state): @@ -279,49 +316,85 @@ def update(state): multi_class = state['multi_class'] maxsize = int(state['number_of_points']) groups = int(state['number_of_groups']) - X, y = make_blobs(n_samples=maxsize, n_features=2, cluster_std=cluster_std, centers=groups) + + X, y = make_blobs( + n_samples=number_of_points, + n_features=2, + cluster_std=cluster_std, + centers=groups + ) clf = LogisticRegression( - solver="sag", max_iter=1000, random_state=42, multi_class=multi_class + solver="sag", + max_iter=1000, + random_state=42, + multi_class=multi_class ).fit(X, y) - state["training"] = "training score : %.3f (%s)" % (clf.score(X, y), multi_class); + coef = clf.coef_ intercept = clf.intercept_ + score = clf.score(X, y) data = [] for i in range(groups): data.append( go.Scatter( - x=X[y == i][:, 0], y=X[y==i][:, 1], mode='markers', name='Group '+str(i), hoverinfo='none', - marker=dict(color=COLOR[i], symbol='circle', size=10) + x=X[y == i][:, 0], + y=X[y==i][:, 1], + mode='markers', + name='Group '+str(i), + hoverinfo='none', + marker=dict( + color=COLOR[i], + symbol='circle', + size=10 + ) ) ) for i in range(1 if groups < 3 else groups): data.append(go.Scatter( - x=[-20, 20], y=[line(-20, coef, intercept, i), line(20, coef, intercept, i)], - mode='lines', line=dict(color=COLOR[i], width=2), name='Logistic Regression' + x=[-20, 20], + y=[ + _line(-20, coef, intercept, i), + _line(20, coef, intercept, i) + ], + mode='lines', + line=dict(color=COLOR[i], width=2), + name='Logistic Regression' )) layout = go.Layout( width=700,height=700, hovermode='closest', hoverdistance=1, - xaxis=dict(title='Feature 1', range=[-20,20], fixedrange=True, - constrain="domain", scaleanchor="y",scaleratio=1), - yaxis=dict(title='Feature 2', range=[-20,20], fixedrange=True, - constrain="domain"), + xaxis=dict( + title='Feature 1', + range=[-20,20], + fixedrange=True, + constrain="domain", + scaleanchor="y", + scaleratio=1 + ), + yaxis=dict( + title='Feature 2', + range=[-20,20], + fixedrange=True, + constrain="domain" + ), paper_bgcolor='#EEEEEE', margin=dict(l=30, r=30, t=30, b=30), ) fig = go.Figure(data=data, layout=layout) - state['fig'] = fig + state['figure'] = fig initial_state = ss.init_state({ - "multi_class_options": {"ovr": "One vs - - Rest", "multinomial": "Multinomial"}, + "my_app": { + "title": "Logistic regression visualizer" + }, + "message": None, + "figure": None, "multi_class": "ovr", "number_of_groups": 2, "number_of_points": 50, From 68af00241c837421b223edd1c67007e86e79ec2d Mon Sep 17 00:00:00 2001 From: Mateusz Russak Date: Fri, 9 Feb 2024 12:52:46 +0100 Subject: [PATCH 15/39] docs: more descriptive title --- docs/docs/quickstart-tutorial.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/docs/quickstart-tutorial.md b/docs/docs/quickstart-tutorial.md index a1ded58b5..198d80256 100644 --- a/docs/docs/quickstart-tutorial.md +++ b/docs/docs/quickstart-tutorial.md @@ -1,4 +1,4 @@ -# Tutorial - Simple App +# Quickstart tutorial - Logistic regression visualisation In this tutorial, we'll guide you through creating a logistic regression visualisation tool using Streamsync. Logistic regression is a fundamental technique in machine learning for binary classification tasks, and visualising its decision boundary can provide valuable insights into the model's behaviour. First, make sure you have Streamsync installed. You can install it via pip: From bc27e4f6524db4e2ada8ca3e7aa9159b00244a3f Mon Sep 17 00:00:00 2001 From: Mateusz Russak Date: Fri, 9 Feb 2024 13:04:33 +0100 Subject: [PATCH 16/39] docs: fixing inconsistencies within code --- apps/quickstart/main.py | 67 +++++++++++++++++++++++++------- apps/quickstart/ui.json | 10 ++--- docs/docs/quickstart-tutorial.md | 20 +++++----- 3 files changed, 69 insertions(+), 28 deletions(-) diff --git a/apps/quickstart/main.py b/apps/quickstart/main.py index 98961653d..a0ab32113 100644 --- a/apps/quickstart/main.py +++ b/apps/quickstart/main.py @@ -16,7 +16,7 @@ 9: '#38006a' } -def line(x0, coef, intercept, c): +def _line(x0, coef, intercept, c): return (-(x0 * coef[c, 0]) - intercept[c]) / coef[c, 1] def update(state): @@ -24,47 +24,86 @@ def update(state): multi_class = state['multi_class'] number_of_points = int(state['number_of_points']) number_of_groups = int(state['number_of_groups']) - X, y = make_blobs(n_samples=number_of_points, n_features=2, cluster_std=cluster_std, centers=number_of_groups) + X, y = make_blobs( + n_samples=number_of_points, + n_features=2, + cluster_std=cluster_std, + centers=number_of_groups + ) clf = LogisticRegression( - solver="sag", max_iter=1000, random_state=42, multi_class=multi_class + solver="sag", + max_iter=1000, + random_state=42, + multi_class=multi_class ).fit(X, y) - state["training"] = "training score : %.3f (%s)" % (clf.score(X, y), multi_class); + coef = clf.coef_ intercept = clf.intercept_ + score = clf.score(X, y) + + state["message"] = "training score : %.3f (%s)" % (score, multi_class) data = [] for i in range(number_of_groups): data.append( go.Scatter( - x=X[y == i][:, 0], y=X[y==i][:, 1], mode='markers', name='Group '+str(i), hoverinfo='none', - marker=dict(color=COLOR[i], symbol='circle', size=10) + x=X[y == i][:, 0], + y=X[y==i][:, 1], + mode='markers', + name='Group '+str(i), + hoverinfo='none', + marker=dict( + color=COLOR[i], + symbol='circle', + size=10 + ) ) ) for i in range(1 if number_of_groups < 3 else number_of_groups): data.append(go.Scatter( - x=[-20, 20], y=[line(-20, coef, intercept, i), line(20, coef, intercept, i)], - mode='lines', line=dict(color=COLOR[i], width=2), name='Logistic Regression' + x=[-20, 20], + y=[ + _line(-20, coef, intercept, i), + _line(20, coef, intercept, i) + ], + mode='lines', + line=dict(color=COLOR[i], width=2), + name='Logistic Regression' )) layout = go.Layout( width=700,height=700, hovermode='closest', hoverdistance=1, - xaxis=dict(title='Feature 1', range=[-20,20], fixedrange=True, - constrain="domain", scaleanchor="y",scaleratio=1), - yaxis=dict(title='Feature 2', range=[-20,20], fixedrange=True, - constrain="domain"), + xaxis=dict( + title='Feature 1', + range=[-20,20], + fixedrange=True, + constrain="domain", + scaleanchor="y", + scaleratio=1 + ), + yaxis=dict( + title='Feature 2', + range=[-20,20], + fixedrange=True, + constrain="domain" + ), paper_bgcolor='#EEEEEE', margin=dict(l=30, r=30, t=30, b=30), ) fig = go.Figure(data=data, layout=layout) - state['fig'] = fig + state['figure'] = fig initial_state = ss.init_state({ - "multi_class_options": {"ovr": "One vs Rest", "multinomial": "Multinomial"}, + "my_app": { + "title": "Logistic regression visualizer" + }, + "message": None, + "figure": None, "multi_class": "ovr", "number_of_groups": 2, "number_of_points": 50, diff --git a/apps/quickstart/ui.json b/apps/quickstart/ui.json index d4ba1e2d9..b55033b12 100644 --- a/apps/quickstart/ui.json +++ b/apps/quickstart/ui.json @@ -25,7 +25,7 @@ "id": "g7hhwdug524j0fql", "type": "header", "content": { - "text": "Logistic regression example" + "text": "@{my_app.title}" }, "parentId": "e8e4m9mx50wfpdty", "position": 0, @@ -87,7 +87,7 @@ "id": "27wp270aghglmgx2", "type": "plotlygraph", "content": { - "spec": "@{fig}" + "spec": "@{figure}" }, "parentId": "0vruexh3b8ajbuw9", "position": 0, @@ -118,19 +118,19 @@ "id": "v75sjhqjgpw0g0a7", "type": "message", "content": { - "message": "@{training}" + "message": "@{message}" }, "parentId": "g7hhwdug524j0fql", "position": 0, "handlers": {}, - "visible": "training" + "visible": "message" }, "tnooah1ico3nylvu": { "id": "tnooah1ico3nylvu", "type": "dropdowninput", "content": { "label": "Type", - "options": "@{multi_class_options}", + "options": "{\"ovr\": \"One vs Rest\", \"multinomial\": \"Multinomial\"}", "cssClasses": "" }, "parentId": "t3zfxwztd4cozu6v", diff --git a/docs/docs/quickstart-tutorial.md b/docs/docs/quickstart-tutorial.md index 198d80256..90ae2f4ef 100644 --- a/docs/docs/quickstart-tutorial.md +++ b/docs/docs/quickstart-tutorial.md @@ -227,7 +227,7 @@ Now, let's create a plot for our logistic regressions. For that, we will use `pl ```python data = [] - for i in range(groups): + for i in range(number_of_groups): data.append( go.Scatter( x=X[y == i][:, 0], @@ -243,12 +243,12 @@ Now, let's create a plot for our logistic regressions. For that, we will use `pl ) ) - for i in range(1 if groups < 3 else groups): + for i in range(1 if number_of_groups < 3 else number_of_groups): data.append(go.Scatter( x=[-20, 20], y=[ - line(-20, coef, intercept, i), - line(20, coef, intercept, i) + _line(-20, coef, intercept, i), + _line(20, coef, intercept, i) ], mode='lines', line=dict(color=COLOR[i], width=2), @@ -314,14 +314,14 @@ def _line(x0, coef, intercept, c): def update(state): cluster_std = state['cluster_std'] multi_class = state['multi_class'] - maxsize = int(state['number_of_points']) - groups = int(state['number_of_groups']) + number_of_points = int(state['number_of_points']) + number_of_groups = int(state['number_of_groups']) X, y = make_blobs( n_samples=number_of_points, n_features=2, cluster_std=cluster_std, - centers=groups + centers=number_of_groups ) clf = LogisticRegression( @@ -335,8 +335,10 @@ def update(state): intercept = clf.intercept_ score = clf.score(X, y) + state["message"] = "training score : %.3f (%s)" % (score, multi_class) + data = [] - for i in range(groups): + for i in range(number_of_groups): data.append( go.Scatter( x=X[y == i][:, 0], @@ -352,7 +354,7 @@ def update(state): ) ) - for i in range(1 if groups < 3 else groups): + for i in range(1 if number_of_groups < 3 else number_of_groups): data.append(go.Scatter( x=[-20, 20], y=[ From 803dfd2c2a442f08c29e43cd19f89d34d20b0533 Mon Sep 17 00:00:00 2001 From: Mateusz Russak Date: Fri, 9 Feb 2024 13:40:54 +0100 Subject: [PATCH 17/39] docs: changed images to have relative paths --- docs/docs/quickstart-tutorial.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/docs/docs/quickstart-tutorial.md b/docs/docs/quickstart-tutorial.md index 90ae2f4ef..65a09477e 100644 --- a/docs/docs/quickstart-tutorial.md +++ b/docs/docs/quickstart-tutorial.md @@ -47,21 +47,21 @@ streamsync edit . This will run our Streamsync instance. Runtime logs can be observed in the terminal, and the app is available at http://localhost:3006. -![newly created application](/images/quickstart/new_app.png) +![newly created application](./images/quickstart/new_app.png) ## UI Creation By default, Streamsync creates a simple application with a counter. To keep things easy, let's remove the contents from columns to make space for our new application. If you're unsure where to click to select a specific component on the screen, you can always use the `Component Tree` on the bottom left of the screen. The app should look something like this when you finish. -![empty app](/images/quickstart/empty_app.png) +![empty app](./images/quickstart/empty_app.png) This app will be made up of 2 columns, one with controls for our plot and the second with the plot itself. Half of the screen is way too much for controls, and the plot will be really small this way. To change the proportions of the columns, change the value of `Width (factor)` in the left column to `0.5`. -![width controls](/images/quickstart/column_width.png) +![width controls](./images/quickstart/column_width.png) This way, it will take just `1/3` of the screen. Proportions are calculated relative to each other. Each _Column_, by default, has the value of this factor set to 1. So, when we set the left column to 0.5 and the right to 1, we will get a relation between column sizes of 1:2. -![placing elements](/images/quickstart/placing_elements.png) +![placing elements](./images/quickstart/placing_elements.png) Now let's add the rest of the components: @@ -72,7 +72,7 @@ Now let's add the rest of the components: - _Button_. - To the free space in our header, let's place a _Message_ component. -![ui boilerplate](/images/quickstart/ui_boilerplate.png) +![ui boilerplate](./images/quickstart/ui_boilerplate.png) Now we can configure components with some static settings. Starting with slider inputs, let's set all 3 sliders configuration values to the following values: @@ -102,7 +102,7 @@ And in the end lets rename the button. Now, to create the application's initial state, let's open the code editor. In this tutorial, we will be using the built-in code editor, which can be found by clicking on the 'Code' button at the top of the screen. However, if you prefer using your favourite editor, you can simply edit the `main.py` file, and the frontend will instantly refresh with every write to the file. -![code editor](/images/quickstart/code_editor.png) +![code editor](./images/quickstart/code_editor.png) Let's remove all code from there and start with: From 5eea7806818787c434e1a533e83834f3276456e1 Mon Sep 17 00:00:00 2001 From: Mateusz Russak Date: Fri, 9 Feb 2024 13:47:44 +0100 Subject: [PATCH 18/39] docs: small style fixes --- apps/quickstart/main.py | 2 +- apps/quickstart/ui.json | 15 +++++++++++++-- docs/docs/quickstart-tutorial.md | 2 +- 3 files changed, 15 insertions(+), 4 deletions(-) diff --git a/apps/quickstart/main.py b/apps/quickstart/main.py index a0ab32113..8ba780a2c 100644 --- a/apps/quickstart/main.py +++ b/apps/quickstart/main.py @@ -90,7 +90,7 @@ def update(state): fixedrange=True, constrain="domain" ), - paper_bgcolor='#EEEEEE', + paper_bgcolor='#FFFFFF', margin=dict(l=30, r=30, t=30, b=30), ) diff --git a/apps/quickstart/ui.json b/apps/quickstart/ui.json index b55033b12..6843cdb3f 100644 --- a/apps/quickstart/ui.json +++ b/apps/quickstart/ui.json @@ -36,8 +36,8 @@ "id": "j8tmgh7pgdk1nzfb", "type": "columns", "content": {}, - "parentId": "e8e4m9mx50wfpdty", - "position": 1, + "parentId": "7hlk8jwfhvz29rbc", + "position": 0, "handlers": {}, "visible": true }, @@ -176,6 +176,17 @@ "ss-click": "update" }, "visible": true + }, + "7hlk8jwfhvz29rbc": { + "id": "7hlk8jwfhvz29rbc", + "type": "section", + "content": { + "title": "" + }, + "parentId": "e8e4m9mx50wfpdty", + "position": 1, + "handlers": {}, + "visible": true } } } \ No newline at end of file diff --git a/docs/docs/quickstart-tutorial.md b/docs/docs/quickstart-tutorial.md index 65a09477e..338a4f70f 100644 --- a/docs/docs/quickstart-tutorial.md +++ b/docs/docs/quickstart-tutorial.md @@ -272,7 +272,7 @@ Now, let's create a plot for our logistic regressions. For that, we will use `pl fixedrange=True, constrain="domain" ), - paper_bgcolor='#EEEEEE', + paper_bgcolor='#FFFFFF', margin=dict(l=30, r=30, t=30, b=30), ) From a505361cd7a9871d54cd813df20556ca963f507c Mon Sep 17 00:00:00 2001 From: Mateusz Russak Date: Fri, 9 Feb 2024 16:38:47 +0100 Subject: [PATCH 19/39] docs: update according to feedback --- docs/docs/quickstart-tutorial.md | 39 ++++++++++++++++++-------------- 1 file changed, 22 insertions(+), 17 deletions(-) diff --git a/docs/docs/quickstart-tutorial.md b/docs/docs/quickstart-tutorial.md index 338a4f70f..dc4a61d42 100644 --- a/docs/docs/quickstart-tutorial.md +++ b/docs/docs/quickstart-tutorial.md @@ -65,16 +65,16 @@ This way, it will take just `1/3` of the screen. Proportions are calculated rela Now let's add the rest of the components: -- To the right column, add a _Plotly chart_. +- To the right column, add a _Plotly Graph_. - To the left: - - 3 x _Slider input_ - - _Dropdown input_ + - 3 x _Slider Input_ + - _Dropdown Input_ - _Button_. -- To the free space in our header, let's place a _Message_ component. +- To the free space in the header, let's place a _Message_ component. ![ui boilerplate](./images/quickstart/ui_boilerplate.png) -Now we can configure components with some static settings. Starting with slider inputs, let's set all 3 sliders configuration values to the following values: +Now we can configure components with some static settings. You can find all the configuration options in right sidebar. Sidebar will apear after selecting the component using mouse click. Starting with slider inputs, let's set all 3 sliders configuration values to the following values: | Property | Value (Slider 1) | Value (Slider 2) | Value (Slider 3) | | :-----------: | :------------------- | :------------------- | :------------------- | @@ -88,7 +88,7 @@ Then for the dropdown, we will set: | Property | Value | | :-----------: | :------------------- | | Label | Type | -| Options | set `JSON` and below type: | +| Options | set `JSON` and paste: | | | `{"ovr": "One vs Rest", "multinomial": "Multinomial"}` | @@ -96,11 +96,11 @@ And in the end lets rename the button. | Property | Value | | :-----------: | :------------------- | -| Label | Regenerate | +| Text | Regenerate | ## App State and Bindings -Now, to create the application's initial state, let's open the code editor. In this tutorial, we will be using the built-in code editor, which can be found by clicking on the 'Code' button at the top of the screen. However, if you prefer using your favourite editor, you can simply edit the `main.py` file, and the frontend will instantly refresh with every write to the file. +It is time to create the application's initial state. Let's open the code editor. In this tutorial, we will be using the built-in code editor, which can be found by clicking on the 'Code' button at the top of the screen. However, if you prefer using your favourite editor, you can simply edit the `main.py` file, and the app will auto-refresh every time the file is changed. ![code editor](./images/quickstart/code_editor.png) @@ -108,10 +108,13 @@ Let's remove all code from there and start with: ```python import streamsync as ss +import plotly.graph_objects as go +from sklearn.linear_model import LogisticRegression +from sklearn.datasets import make_blobs initial_state = ss.init_state({ "my_app": { - "title": "Logistic regression visualizer" + "title": "Logistic Regression Visualiser" }, "message": None, "figure": None, @@ -121,21 +124,23 @@ initial_state = ss.init_state({ "cluster_std": 2, }) ``` -For now, only the Streamsync import is needed, but the rest will be used later on. Notice that after pasting this code into the editor, when we click on `Save and run`, the header of our application will immediately change to "Logistic regression visualiser". This is because the Header has in its text property the value `@{my_app.title}`, which is template syntax that uses a value from the state. +For now, only the Streamsync import is needed, but the rest will be used later on. Notice that after pasting this code into the editor, when we click on `Save and run`, the header of our application will immediately change to "Logistic regression visualiser". This is because the Header has in its text property the value `@{my_app.title}`, which is a template syntax that uses a value from the state. -The rest of the values from the state are just initial values that we will use in all elements to enable communication between the frontend and backend. To do this for every component, we need to set bindings for them. For _Slider input_, let's fill the bindings: +The rest of the keys and values from the `initial_state` are names and initial values for components that will be used for communication between the app UI and the backend. Assigning those keys to components is called binding, and it is done by clicking on each component and filling property "State element" in the "Binding" menu. Let's use these bindings for our 3 _Slider Input_ components: | Property | Value (Slider 1) | Value (Slider 2) | Value (Slider 3) | | :-----------: | :------------------- | :------------------- | :------------------- | | State element | `number_of_groups` | `number_of_points` | `cluster_std` | -For the _Dropdown input_: +For the _Dropdown Input_: | Property | Value | | :-----------: | :------------------- | | State element | `multi_class` | -For the _Message_: +If you closely follow my steps, the massage component can be hidden behind the right bar. Use the `Component Tree` to click the element and open the `Properties` menu. + +_Message_ component doesen't have bindings but we still can use template syntax to use data from the state inside of a `Message`. Additionaly we are able to use this data to control the visibility of the component. | Property | Value | | :-----------: | :------------------- | @@ -145,13 +150,13 @@ For the _Message_: This way, the _Message_ component will show only if there is a message to display. -For _Plotly graph_: +For _Plotly Graph_ we use template syntax again: | Property | Value | | :-----------: | :------------------- | | Graph specification | `@{figure}` | -This way, all of the components are connected to the application state. But for now, nothing happens, so it's not so exciting. Let's get started with behaviour implementation. +Congratulations! You have just connected all components to the application state. Nothing is happening yet. Now, we are ready to make it alive. It's time for python! ## Python implementation @@ -163,7 +168,7 @@ def update(state): update(initial_state) ``` -Now notice that _Message_ showed up, and it is displaying the message "Hello, World!". To have better access to state parameters and to make it clear on which parameters our function depends, we define them at the top of the function. Notice that some of them need to be mapped to appropriate types. The _Slider input_ returns float values by default, so here, as we will need integers, we cast values to int. +Notice that _Message_ showed up, and it is now displaying the message "Hello, World!". To have better access to state parameters and to make it clear on which parameters our function depends, we define them at the top of the function. Notice that some of them need to be mapped to appropriate types. The _Slider Input_ returns float values by default, so here, as we will need integers, we cast values to int. ```python def update(state): @@ -172,7 +177,7 @@ def update(state): number_of_points = int(state['number_of_points']) number_of_groups = int(state['number_of_groups']) ``` -In this example, we create a logistic regression, but the algorithm itself is not in the scope of this tutorial. So we will just use the basic function from the `scikit-learn` library. +In this example, we create a logistic regression visualisation, but the algorithm itself is not in the scope of this tutorial. So we will just use the basic function from the `scikit-learn` library. ```python X, y = make_blobs( From e9dca4bf09b628ea5c1ff2c1434415d1e5fffce7 Mon Sep 17 00:00:00 2001 From: Fabien Arcellier Date: Sat, 10 Feb 2024 18:18:33 +0100 Subject: [PATCH 20/39] feat: github action enforce PR continuous integration rules * configure github action --- .github/workflows/ci.yml | 23 +++++++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 .github/workflows/ci.yml diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 000000000..f48ae7c80 --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,23 @@ +name: ci + +on: [ push, pull_request ] + +jobs: + build: + runs-on: ubuntu-latest + strategy: + matrix: + python-version: [ "3.10", "3.11", "3.12" ] + + steps: + - uses: actions/checkout@v3 + + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v4 + with: + python-version: ${{ matrix.python-version }} + + - name: update package manager & install python3 environment + run: | + sudo pip install poetry + poetry install \ No newline at end of file From b45935df9de353bfffeb3a62ae1467eba74a6ccd Mon Sep 17 00:00:00 2001 From: Fabien Arcellier Date: Sat, 10 Feb 2024 18:20:24 +0100 Subject: [PATCH 21/39] feat: github action enforce PR continuous integration rules * configure runner to execute on ubuntu, macos and windows --- .github/workflows/ci-macos.yml | 23 +++++++++++++++++++++++ .github/workflows/ci-windows.yml | 23 +++++++++++++++++++++++ 2 files changed, 46 insertions(+) create mode 100644 .github/workflows/ci-macos.yml create mode 100644 .github/workflows/ci-windows.yml diff --git a/.github/workflows/ci-macos.yml b/.github/workflows/ci-macos.yml new file mode 100644 index 000000000..03fcb13c0 --- /dev/null +++ b/.github/workflows/ci-macos.yml @@ -0,0 +1,23 @@ +name: ci-macos + +on: [ push, pull_request ] + +jobs: + build: + runs-on: macos-latest + strategy: + matrix: + python-version: [ "3.10", "3.11", "3.12" ] + + steps: + - uses: actions/checkout@v3 + + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v4 + with: + python-version: ${{ matrix.python-version }} + + - name: update package manager & install python3 environment + run: | + sudo pip install poetry + poetry install \ No newline at end of file diff --git a/.github/workflows/ci-windows.yml b/.github/workflows/ci-windows.yml new file mode 100644 index 000000000..4e5befab6 --- /dev/null +++ b/.github/workflows/ci-windows.yml @@ -0,0 +1,23 @@ +name: ci-windows + +on: [ push, pull_request ] + +jobs: + build: + runs-on: windows-latest + strategy: + matrix: + python-version: [ "3.10", "3.11", "3.12" ] + + steps: + - uses: actions/checkout@v3 + + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v4 + with: + python-version: ${{ matrix.python-version }} + + - name: update package manager & install python3 environment + run: | + pip install poetry + poetry install \ No newline at end of file From 1c7e542df3862c061c780c96d84211a15ae24512 Mon Sep 17 00:00:00 2001 From: Fabien Arcellier Date: Sat, 10 Feb 2024 19:01:12 +0100 Subject: [PATCH 22/39] feat: github action enforce PR continuous integration rules * configure continuous integration pipeline that run with alfred.ci * configure an equivalent of ./build.sh script that run with alfred.build --- .alfred.toml | 13 ++++++++++ alfred/build.py | 33 +++++++++++++++++++++++ alfred/ci.py | 21 +++++++++++++++ alfred/npm.py | 12 +++++++++ poetry.lock | 69 ++++++++++++++++++++++++++++++++++++++++++++++++- pyproject.toml | 1 + 6 files changed, 148 insertions(+), 1 deletion(-) create mode 100644 .alfred.toml create mode 100644 alfred/build.py create mode 100644 alfred/ci.py create mode 100644 alfred/npm.py diff --git a/.alfred.toml b/.alfred.toml new file mode 100644 index 000000000..1f609067e --- /dev/null +++ b/.alfred.toml @@ -0,0 +1,13 @@ +[alfred] +# name = "" # name of a subproject, use the name of the directory if not set +# description = "" # inline documentation for a sub project +# subprojects = [] + +# [alfred.project] +# command = [ "alfred/*.py" ] +# python_path_project_root = true +# python_path_extends = [] +# venv = "src/.." + +# more info about project manifest +# into https://alfred-cli.readthedocs.io/en/latest/project.html#setting-up-a-project-with-alfred-toml diff --git a/alfred/build.py b/alfred/build.py new file mode 100644 index 000000000..3879c2e21 --- /dev/null +++ b/alfred/build.py @@ -0,0 +1,33 @@ +import os.path +import shutil + +import alfred + + +@alfred.command("build", help="build apps package for pypi") +@alfred.option("--ignore-ci", is_flag=True, help="ignore continuous integration pipeline") +def build(ignore_ci: bool = False): + if not ignore_ci: + alfred.invoke_command("ci") + else: + alfred.invoke_command("npm.build") + + alfred.invoke_command("build.app_provisionning") + alfred.invoke_command("build.poetry") + +@alfred.command("build.app_provisionning", help="update app templates using ./apps", hidden=True) +def build_app_provisionning(): + if os.path.isdir('src/streamsync/app_templates'): + shutil.rmtree('src/streamsync/app_templates') + + shutil.copytree( 'apps/default', 'src/streamsync/app_templates/default') + shutil.copytree( 'apps/hello', 'src/streamsync/app_templates/hello') + +@alfred.command("build.poetry", help="build python packages with poetry", hidden=True) +def build_poetry(): + removed_directories = ['dist', 'build'] + for directory in removed_directories: + if os.path.isdir(directory): + shutil.rmtree(directory) + + alfred.run("poetry build") \ No newline at end of file diff --git a/alfred/ci.py b/alfred/ci.py new file mode 100644 index 000000000..b91ddcb14 --- /dev/null +++ b/alfred/ci.py @@ -0,0 +1,21 @@ +import os + +import alfred + + +@alfred.command("ci", help="continuous integration pipeline") +def ci(): + alfred.invoke_command("ci.mypy") + alfred.invoke_command("ci.pytest") + alfred.invoke_command("npm.build") + + +@alfred.command("ci.mypy", help="typing checking with mypy on ./src/streamsync") +def ci_mypy(): + alfred.run("mypy ./src/streamsync --exclude app_templates/*") + + +@alfred.command("ci.pytest", help="run pytest on ./tests") +def ci_test(): + os.chdir("tests") + alfred.run("pytest") \ No newline at end of file diff --git a/alfred/npm.py b/alfred/npm.py new file mode 100644 index 000000000..c1d980e03 --- /dev/null +++ b/alfred/npm.py @@ -0,0 +1,12 @@ +import alfred +import os + +@alfred.command("npm.build", help="build ui code") +def npm_build(): + os.chdir("ui") + alfred.run("npm run build") + +@alfred.command("npm.build_custom_components", help="build custom components") +def ui_build_custom(): + os.chdir("ui") + alfred.run("npm run custom.build") \ No newline at end of file diff --git a/poetry.lock b/poetry.lock index 90f37cec3..fe3f03d92 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,5 +1,22 @@ # This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +[[package]] +name = "alfred-cli" +version = "2.2.6" +description = "Alfred is an extensible automation tool. It allows you to build your continuous integration scripts in python, and much more. You can replace any scripts using the best of both worlds, shell and python." +optional = false +python-versions = ">=3.8,<4.0" +files = [ + {file = "alfred_cli-2.2.6-py3-none-any.whl", hash = "sha256:afbfaff7ea2772c5716b4fcab921e518998bd78e919776eeb91379ffec9a5bb0"}, + {file = "alfred_cli-2.2.6.tar.gz", hash = "sha256:b02453ebecce04b32bc52f1c2ea8db83919cf0fda95dcb476a4b7e2c7a6c450f"}, +] + +[package.dependencies] +click = ">=8.1.0,<9.0.0" +prompt-toolkit = ">=3.0.41,<4.0.0" +shellingham = ">=1.3.0,<2.0.0" +toml = ">=0.10,<0.11" + [[package]] name = "altair" version = "5.2.0" @@ -575,6 +592,20 @@ files = [ dev = ["pre-commit", "tox"] testing = ["pytest", "pytest-benchmark"] +[[package]] +name = "prompt-toolkit" +version = "3.0.43" +description = "Library for building powerful interactive command lines in Python" +optional = false +python-versions = ">=3.7.0" +files = [ + {file = "prompt_toolkit-3.0.43-py3-none-any.whl", hash = "sha256:a11a29cb3bf0a28a387fe5122cdb649816a957cd9261dcedf8c9f1fef33eacf6"}, + {file = "prompt_toolkit-3.0.43.tar.gz", hash = "sha256:3527b7af26106cbc65a040bcc84839a3566ec1b051bb0bfe953631e704b0ff7d"}, +] + +[package.dependencies] +wcwidth = "*" + [[package]] name = "pyarrow" version = "15.0.0" @@ -921,6 +952,17 @@ files = [ {file = "rpds_py-0.17.1.tar.gz", hash = "sha256:0210b2668f24c078307260bf88bdac9d6f1093635df5123789bfee4d8d7fc8e7"}, ] +[[package]] +name = "shellingham" +version = "1.5.4" +description = "Tool to Detect Surrounding Shell" +optional = false +python-versions = ">=3.7" +files = [ + {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"}, + {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"}, +] + [[package]] name = "six" version = "1.16.0" @@ -975,6 +1017,17 @@ files = [ [package.extras] doc = ["reno", "sphinx", "tornado (>=4.5)"] +[[package]] +name = "toml" +version = "0.10.2" +description = "Python Library for Tom's Obvious, Minimal Language" +optional = false +python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" +files = [ + {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"}, + {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"}, +] + [[package]] name = "tomli" version = "2.0.1" @@ -1088,6 +1141,17 @@ files = [ [package.extras] watchmedo = ["PyYAML (>=3.10)"] +[[package]] +name = "wcwidth" +version = "0.2.13" +description = "Measures the displayed width of unicode strings in a terminal" +optional = false +python-versions = "*" +files = [ + {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"}, + {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"}, +] + [[package]] name = "websockets" version = "12.0" @@ -1169,7 +1233,10 @@ files = [ {file = "websockets-12.0.tar.gz", hash = "sha256:81df9cbcbb6c260de1e007e58c011bfebe2dafc8435107b0537f393dd38c8b1b"}, ] +[extras] +ds = ["pandas", "plotly", "pyarrow"] + [metadata] lock-version = "2.0" python-versions = ">=3.9.2, <4.0" -content-hash = "a1b429c27b38c251b207151039018f3eab470309ee2f52efff2f6e079b587c69" +content-hash = "82329fe83a8558191025e96c7ca62911bec6da67fcfdbec518c98c8e44948cfa" diff --git a/pyproject.toml b/pyproject.toml index ad2f579c4..dbcf1ed62 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -45,6 +45,7 @@ pytest-asyncio = ">= 0.23.4, < 1" pytest = ">= 7.0.0, < 8" altair = ">= 5.2.0, < 6" httpx = ">=0.26.0, < 1" +alfred-cli = "^2.2.6" [tool.poetry.extras] ds = ["pandas", "pyarrow", "plotly"] From 7a72e9913ad8658d528a7618ded45d8c6c21d8b6 Mon Sep 17 00:00:00 2001 From: Fabien Arcellier Date: Sat, 10 Feb 2024 19:02:21 +0100 Subject: [PATCH 23/39] feat: github action enforce PR continuous integration rules * configure github action to run continuous integration pipeline --- .github/workflows/ci-macos.yml | 16 +++++++++++++++- .github/workflows/ci-windows.yml | 16 +++++++++++++++- .github/workflows/ci.yml | 11 ++++++++++- 3 files changed, 40 insertions(+), 3 deletions(-) diff --git a/.github/workflows/ci-macos.yml b/.github/workflows/ci-macos.yml index 03fcb13c0..23d16d7fe 100644 --- a/.github/workflows/ci-macos.yml +++ b/.github/workflows/ci-macos.yml @@ -12,6 +12,11 @@ jobs: steps: - uses: actions/checkout@v3 + - name: Use Node.js + uses: actions/setup-node@v3 + with: + node-version: "18.x" + - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v4 with: @@ -20,4 +25,13 @@ jobs: - name: update package manager & install python3 environment run: | sudo pip install poetry - poetry install \ No newline at end of file + poetry install --with build + + - name: install npm environment + run: | + cd ui + npm install + + - name: run continuous integration pipeline + run: | + poetry run alfred ci \ No newline at end of file diff --git a/.github/workflows/ci-windows.yml b/.github/workflows/ci-windows.yml index 4e5befab6..e1fb21fa2 100644 --- a/.github/workflows/ci-windows.yml +++ b/.github/workflows/ci-windows.yml @@ -12,6 +12,11 @@ jobs: steps: - uses: actions/checkout@v3 + - name: Use Node.js + uses: actions/setup-node@v3 + with: + node-version: "18.x" + - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v4 with: @@ -20,4 +25,13 @@ jobs: - name: update package manager & install python3 environment run: | pip install poetry - poetry install \ No newline at end of file + poetry install --with build + + - name: install npm environment + run: | + cd ui + npm install + + - name: run continuous integration pipeline + run: | + poetry run alfred ci \ No newline at end of file diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index f48ae7c80..f229bf28f 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -20,4 +20,13 @@ jobs: - name: update package manager & install python3 environment run: | sudo pip install poetry - poetry install \ No newline at end of file + poetry install --with build + + - name: install npm environment + run: | + cd ui + npm install + + - name: run continuous integration pipeline + run: | + poetry run alfred ci \ No newline at end of file From cf6c18f3210d4d59b07a08d2d4145da2ce6ff7a6 Mon Sep 17 00:00:00 2001 From: Fabien Arcellier Date: Sat, 10 Feb 2024 19:31:27 +0100 Subject: [PATCH 24/39] feat: github action enforce PR continuous integration rules * fix typing error checking on windows --- src/streamsync/app_runner.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/src/streamsync/app_runner.py b/src/streamsync/app_runner.py index ebe95704f..e817093e3 100644 --- a/src/streamsync/app_runner.py +++ b/src/streamsync/app_runner.py @@ -13,7 +13,7 @@ import logging.handlers from types import ModuleType import json -from typing import Any, Callable, Dict, List, Optional +from typing import Any, Callable, Dict, List, Optional, cast from watchdog.observers.polling import PollingObserver @@ -748,7 +748,10 @@ def _start_app_process(self) -> None: raise ValueError( "Cannot start app process. Components haven't been set.") self.is_app_process_server_ready.clear() - self.client_conn, self.server_conn = multiprocessing.Pipe(duplex=True) + client_conn, server_conn = multiprocessing.Pipe(duplex=True) + self.client_conn = cast(multiprocessing.connection.Connection, client_conn) # for mypy type checking on windows + self.server_conn = cast(multiprocessing.connection.Connection, server_conn) # for mypy type checking on windows + self.app_process = AppProcess( client_conn=self.client_conn, server_conn=self.server_conn, From ec4c4ed5a6f855438f7a03e65178589e663aee81 Mon Sep 17 00:00:00 2001 From: Fabien Arcellier Date: Sat, 10 Feb 2024 19:47:35 +0100 Subject: [PATCH 25/39] feat: github action enforce PR continuous integration rules * configure badges on readme --- README.md | 5 +++++ pyproject.toml | 3 +++ 2 files changed, 8 insertions(+) diff --git a/README.md b/README.md index ce08b4292..06c9edb6c 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,10 @@ ## What is Streamsync? +[![PyPi](https://img.shields.io/pypi/v/streamsync.svg?label=Version)](https://pypi.org/project/streamsync/) +[![CI](https://github.com/streamsync-cloud/streamsync/actions/workflows/ci.yml/badge.svg)](https://github.com/streamsync-cloud/streamsync/actions/workflows/ci.yml) +[![Discord](https://img.shields.io/badge/discord-streamsync-sn677E3Pd3?logo=discord&logoColor=white)](https://discord.gg/sn677E3Pd3) +[![License](https://img.shields.io/pypi/l/streamsync)](LICENSE) + Streamsync is an open-source framework for creating data apps. Build user interfaces using a visual editor; write the backend code in Python. ![Streamsync Builder screenshot](https://raw.githubusercontent.com/streamsync-cloud/streamsync/master/docs/docs/public/sc1.png "Streamsync Builder screenshot") diff --git a/pyproject.toml b/pyproject.toml index dbcf1ed62..d2c1abcaf 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -14,6 +14,9 @@ repository = "https://www.github.com/streamsync-cloud/streamsync" documentation = "https://www.streamsync.cloud/getting-started.html" keywords = ["data apps", "gui", "ui"] classifiers = [ + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", "Development Status :: 4 - Beta" ] packages = [ From a55ec1a94f66368605f259a12f14a3dc971bf9c1 Mon Sep 17 00:00:00 2001 From: Fabien Arcellier Date: Sat, 10 Feb 2024 20:04:40 +0100 Subject: [PATCH 26/39] feat: github action enforce PR continuous integration rules * fix charmap error in continuous integration on windows --- poetry.lock | 8 ++++---- pyproject.toml | 2 +- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/poetry.lock b/poetry.lock index fe3f03d92..11be96bed 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2,13 +2,13 @@ [[package]] name = "alfred-cli" -version = "2.2.6" +version = "2.2.7" description = "Alfred is an extensible automation tool. It allows you to build your continuous integration scripts in python, and much more. You can replace any scripts using the best of both worlds, shell and python." optional = false python-versions = ">=3.8,<4.0" files = [ - {file = "alfred_cli-2.2.6-py3-none-any.whl", hash = "sha256:afbfaff7ea2772c5716b4fcab921e518998bd78e919776eeb91379ffec9a5bb0"}, - {file = "alfred_cli-2.2.6.tar.gz", hash = "sha256:b02453ebecce04b32bc52f1c2ea8db83919cf0fda95dcb476a4b7e2c7a6c450f"}, + {file = "alfred_cli-2.2.7-py3-none-any.whl", hash = "sha256:35059a1525c792f77d1911d8d67df698f9d93bc2c06f28dc3deba125ce886228"}, + {file = "alfred_cli-2.2.7.tar.gz", hash = "sha256:674aafa6fe5445e0e60ebad94b7c5a84be1e4fdd64fb2c51223c357734981050"}, ] [package.dependencies] @@ -1239,4 +1239,4 @@ ds = ["pandas", "plotly", "pyarrow"] [metadata] lock-version = "2.0" python-versions = ">=3.9.2, <4.0" -content-hash = "82329fe83a8558191025e96c7ca62911bec6da67fcfdbec518c98c8e44948cfa" +content-hash = "eda7baf2623c0f476a9d2a5ae111af040aedab615fac92e438ba18b3312ad4d9" diff --git a/pyproject.toml b/pyproject.toml index d2c1abcaf..d391d18e7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -48,7 +48,7 @@ pytest-asyncio = ">= 0.23.4, < 1" pytest = ">= 7.0.0, < 8" altair = ">= 5.2.0, < 6" httpx = ">=0.26.0, < 1" -alfred-cli = "^2.2.6" +alfred-cli = "^2.2.7" [tool.poetry.extras] ds = ["pandas", "pyarrow", "plotly"] From edcab89430025fe679fa1d844ba2e3016261cb0a Mon Sep 17 00:00:00 2001 From: Mateusz Russak Date: Mon, 12 Feb 2024 12:04:36 +0100 Subject: [PATCH 27/39] feat: added iframe component --- docs/docs/public/components/iframe.png | Bin 0 -> 74530 bytes src/streamsync/core.py | 8 ++ tests/test_core.py | 13 +++ ui/src/core/templateMap.ts | 2 + ui/src/core_components/CoreIFrame.vue | 106 +++++++++++++++++++++++++ 5 files changed, 129 insertions(+) create mode 100644 docs/docs/public/components/iframe.png create mode 100644 ui/src/core_components/CoreIFrame.vue diff --git a/docs/docs/public/components/iframe.png b/docs/docs/public/components/iframe.png new file mode 100644 index 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zTFiJ76S*zsa?>o$^hg4q*Dr{e5;z~1U5g+HJ?81Bcu-YVo)cw`S6s^c!Nlv~&>pxy zkCG{1l7rUqy0`xCvSLwkxURg z?dDq!@KoSW1-&@acSs7?yvP>xo&^=eRCqG7v&ZNzM(pWD!tK&*22HW4qwMbl_|Mjw z%mm%|>9r@8*}!}G0t0ZIQ! str: payload = str(ev.payload) return payload + def _transform_load(self, ev) -> Dict: + payload = ev.payload + url = payload.get("url") + tf_payload = { + "url": url, + } + return tf_payload + def _transform_change(self, ev) -> str: payload = str(ev.payload) return payload diff --git a/tests/test_core.py b/tests/test_core.py index 3e8957952..93781f1ba 100644 --- a/tests/test_core.py +++ b/tests/test_core.py @@ -382,6 +382,19 @@ def test_hashchange(self) -> None: }, } + def test_load(self) -> None: + ev = StreamsyncEvent( + type="ss-load", + instancePath=self.root_instance_path, + payload={ + "url": "/myPage", + } + ) + self.ed.transform(ev) + assert ev.payload == { + "url": "/myPage", + } + def test_webcam(self) -> None: ev = StreamsyncEvent( type="ss-webcam", diff --git a/ui/src/core/templateMap.ts b/ui/src/core/templateMap.ts index 0cd543eca..846278ac3 100644 --- a/ui/src/core/templateMap.ts +++ b/ui/src/core/templateMap.ts @@ -19,6 +19,7 @@ import CoreSeparator from "../core_components/CoreSeparator.vue"; import CoreTab from "../core_components/CoreTab.vue"; import CoreTabs from "../core_components/CoreTabs.vue"; import CoreImage from "../core_components/CoreImage.vue"; +import CoreIFrame from "../core_components/CoreIFrame.vue"; import CoreTimer from "../core_components/CoreTimer.vue"; import CoreWebcamCapture from "../core_components/CoreWebcamCapture.vue"; import CoreVegaLiteChart from "../core_components/CoreVegaLiteChart.vue"; @@ -64,6 +65,7 @@ const templateMap = { horizontalstack: CoreHorizontalStack, separator: CoreSeparator, image: CoreImage, + iframe: CoreIFrame, icon: CoreIcon, timer: CoreTimer, textinput: CoreTextInput, diff --git a/ui/src/core_components/CoreIFrame.vue b/ui/src/core_components/CoreIFrame.vue new file mode 100644 index 000000000..cbf50df62 --- /dev/null +++ b/ui/src/core_components/CoreIFrame.vue @@ -0,0 +1,106 @@ +