thanhnew2001/taipycode3 · Datasets at Hugging Face

text stringlengths 0 105k
# For the sake of clarity, we have used an AutoRegressive model rather than a pure ML model such as: # Random Forest, Linear Regression, LSTM, etc from statsmodels.tsa.ar_model import AutoReg import pandas as pd from sklearn.metrics import mean_squared_error, mean_absolute_error import numpy as np import datet...
from .data_viz import data_viz from .scenario import scenario_page from .performance import performance from .root import root_page
""" The rootpage of the application. Page content is imported from the root.md file. Please refer to https://docs.taipy.io/en/latest/manuals/gui/pages for more details. """ from taipy.gui import Markdown root_page = Markdown("pages/root.md")
from .scenario import scenario_page
""" The second page of the application. Page content is imported from the page_2.md file. Please refer to https://docs.taipy.io/en/latest/manuals/gui/pages for more details. """ from taipy.gui import Markdown, notify import datetime as dt import pandas as pd scenario = None day = dt.datetime(2021, 7, 2...
from .data_viz import data_viz
""" The first page of the application. Page content is imported from the page_1.md file. Please refer to https://docs.taipy.io/en/latest/manuals/gui/pages for more details. """ from taipy.gui import Markdown import pandas as pd def get_data(path_to_csv: str): # pandas.read_csv() returns a pd.DataFrame...
from .performance import performance
from taipy.gui import Markdown import pandas as pd import taipy as tp # Initial dataset for comparison comparison_scenario = pd.DataFrame(columns=["Scenario Name", "RMSE baseline", "MAE baseline", ...
import os import re import shutil import subprocess from _fetch_source_file import CLI, GitContext, read_doc_version_from_mkdocs_yml_template_file # Assuming this script is in taipy-doc/tools TOOLS_PATH = os.path.dirname(os.path.abspath(__file__)) ROOT_DIR = os.path.dirname(TOOLS_PATH) TOP_DIR = os.path.dir...
# ################################################################################ # setup_generation.py # Prepares all files before running MkDocs to generate the complete # Taipy documentation set. # # This setup is performed by executing successive steps, depending on the # topic (Reference Manual generati...
# ###################################################################### # # Syntax for cross-references to the Reference Manual: # `ClassName^` # generates a link from `ClassName` to the class doc page. # `functionName()^` # generates a link from `functionName()` to the function doc section. #...
import os import re import logging SITE_DIR = "site" def to_unix(p): return p.replace("\\","/") # Assuming that this script is located in <taipy-doc>/tools tools_dir = os.path.dirname(__file__) site_path = os.path.join(os.path.dirname(tools_dir), SITE_DIR) ref_site_path = to_unix(site_path) logger =...
""" Check that parameters' documentation have a uniform format. - `<param_name>`: [The \|A \|An ]*. """ import sys COMMENTS_CAN_START_WITH = ' The ', ' If ', ' An ', ' A ', ' TODO ' filename = sys.argv[1] for line in open(filename).readlines(): if line.replace(' ', '').startswith('-`') and ':' in line...
# ################################################################################ # Taipy REST API Reference Manual generation setup step. # # A Taipy REST server is created and the API is queries dynamically. # Then documentation pages are generated from the retrieved structure. # ###############################...
from .setup import run_setup
# ################################################################################ # Taipy GUI Extension Reference Manual generation setup step. # # The Reference Manual pages for the Taipy GUI JavaScript extension module # is generated using the typedoc tools, directly from the JavaScript # source files. # #####...
# ################################################################################ # Taipy Reference Manual generation setup step. # # Generate the entries for every documented class, method, and function. # This scripts browses the root package (Setup.ROOT_PACKAGE) and builds a # documentation file for every pack...
from abc import ABC, abstractmethod from datetime import datetime import re import shutil import sys from typing import List class Setup(ABC): ROOT_PACKAGE = "taipy" ENTERPRISE_BANNER = """!!! warning "Available in Taipy Enterprise edition" This section is relevant only to the Enterprise ed...
# ################################################################################ # Taipy GUI Visual Elements documentation. # # This includes the update of the Table of Contents for both the controls # and the blocks document pages. # # For each visual element, this script combines its property list and core #...
# ################################################################################ # Taipy Contributor list generation setup step. # # A contributors list is generated based on internal and external contributors # retrieved using GitHub REST APIs. # #################################################################...
import os from typing import List class GitContext(object): """Temporarily force GIT_TERMINAL_PROMPT to 0 for private repositories.""" V = "GIT_TERMINAL_PROMPT" def __init__(self, repo: str, private_repos: List[str]): self.value = None self.save_value = repo in private_repos ...
from .git_context import GitContext from .cli import CLI from .utils import read_doc_version_from_mkdocs_yml_template_file
import argparse class CLI(): DESCRIPTION = """\ Locally copies the source code of Taipy from different places in order to allow the generation of the documentation set. After this script has run, you can run 'mkdocs serve'. """ ARG_N_HELP = "Prevents the source repository update (local only)." A...
import os import re def read_doc_version_from_mkdocs_yml_template_file(root_dir): """Read version from mkdocs.yml template""" mkdocs_yml_template = None mkdocs_yml_template_path = os.path.join(root_dir, "mkdocs.yml_template") with open(mkdocs_yml_template_path, "r") as mkdocs_file: mk...
from datetime import datetime import pandas as pd from taipy import Config, Frequency, Scope def write_orders_plan(data: pd.DataFrame): insert_data = data[["date", "product_id", "number_of_products"]].to_dict("records") return ["DELETE FROM orders", ("INSERT INTO orders VALUES (:date, :product_id, ...
from taipy import Config from datetime import datetime class DailyMinTemp: def __init__(self, Date : datetime=None, Temp : float=None): self.Date = Date self.Temp = Temp def encode(self): return { "date": self.Date.isoformat(), "temperature": self.Tem...
from datetime import timedelta from taipy import Config, Scope date_cfg = Config.configure_data_node( id="date_cfg", description="The current date of the scenario", ) model_cfg = Config.configure_data_node( id="model_cfg", scope=Scope.CYCLE, storage_type="pickle", validity_period=t...
from taipy import Config historical_data_cfg = Config.configure_mongo_collection_data_node( id="historical_data", db_username="admin", db_password="pa$$w0rd", db_name="taipy", collection_name="historical_data_set", )
import csv from typing import List, Iterator from taipy import Config def read_csv(path: str, delimiter: str = ",") -> Iterator: with open(path, newline=' ') as csvfile: data = csv.reader(csvfile, delimiter=delimiter) return data def write_csv(data: List[str], path: str, delimiter: str = ...
from taipy import Config, Scope Config.set_default_data_node_configuration( storage_type="sql_table", db_username="username", db_password="p4$$w0rD", db_name="sale_db", db_engine="mssql", table_name="products", db_host="localhost", db_port=1437, db_driver="ODBC Driver 17 ...
from datetime import datetime as dt import pandas as pd from taipy import Config def read_csv(path: str) -> pd.DataFrame: # reading a csv file, define some column types and parse a string into datetime custom_parser = lambda x: dt.strptime(x, "%Y %m %d %H:%M:%S") data = pd.read_csv( path,...
from taipy import Config sales_history_cfg = Config.configure_sql_table_data_node( id="sales_history", db_username="admin", db_password="password", db_name="taipy", db_engine="mssql", table_name="sales", db_driver="ODBC Driver 17 for SQL Server", db_extra_args={"TrustServerCer...
from taipy import Config import pandas as pd def write_query_builder(data: pd.DataFrame): insert_data = data[["date", "nb_sales"]].to_dict("records") return [ "DELETE FROM sales", ("INSERT INTO sales VALUES (:date, :nb_sales)", insert_data) ] sales_history_cfg = Config.configure_...
from taipy import Config class SaleRow: date: str nb_sales: int hist_temp_cfg = Config.configure_excel_data_node( id="historical_temperature", default_path="path/hist_temp.xlsx", exposed_type="numpy") hist_log_cfg = Config.configure_excel_data_node( id="log_history", default_...
from taipy import Config from datetime import datetime date_cfg = Config.configure_in_memory_data_node( id="date", default_data=datetime(2022, 1, 25))
from taipy import Config sales_history_cfg = Config.configure_sql_table_data_node( id="sales_history", db_name="taipy", db_engine="sqlite", table_name="sales", sqlite_folder_path="database", sqlite_file_extension=".sqlite3", )
from taipy import Config data_node_cfg = Config.configure_data_node(id="data_node_cfg")
from taipy import Config class SaleRow: date: str nb_sales: int temp_cfg = Config.configure_csv_data_node( id="historical_temperature", default_path="path/hist_temp.csv", has_header=True, exposed_type="numpy") log_cfg = Config.configure_csv_data_node( id="log_history", d...
from taipy import Config temp_cfg = Config.configure_parquet_data_node( id="historical_temperature", default_path="path/hist_temp.parquet")
from taipy import Config import pandas as pd def write_query_builder(data: pd.DataFrame): insert_data = data[["date", "nb_sales"]].to_dict("records") return [ "DELETE FROM sales", ("INSERT INTO sales VALUES (:date, :nb_sales)", insert_data) ] sales_history_cfg = Config.configure_...
from taipy import Config import json class SaleRow: date: str nb_sales: int class SaleRowEncoder(json.JSONEncoder): def default(self, obj): if isinstance(obj, SaleRow): return { '__type__': "SaleRow", 'date': obj.date, 'n...
from taipy import Config read_kwargs = {"filters": [("log_level", "in", {"ERROR", "CRITICAL"})]} write_kwargs = {"partition_cols": ["log_level"], "compression": None} log_cfg = Config.configure_parquet_data_node( id="log_history", default_path="path/hist_log.parquet", engine="pyarrow", # default ...
from taipy import Config hist_temp_cfg = Config.configure_json_data_node( id="historical_temperature", default_path="path/hist_temp.json", )
from taipy import Config def read_text(path: str) -> str: with open(path, 'r') as text_reader: data = text_reader.read() return data def write_text(data: str, path: str) -> None: with open(path, 'w') as text_writer: text_writer.write(data) historical_data_cfg = Config.con...
from taipy import Config, Scope products_data_cfg = Config.configure_sql_table_data_node( id="products_data", db_username="foo", db_password="bar", db_name="db", db_engine="mssql", db_host="localhost", db_port=1437, db_driver="ODBC Driver 17 for SQL Server", db_extra_args...
from taipy import Config from datetime import datetime date_cfg = Config.configure_pickle_data_node( id="date_cfg", default_data=datetime(2022, 1, 25)) model_cfg = Config.configure_pickle_data_node( id="model_cfg", default_path="path/to/my/model.p", description="The trained model")
from taipy import Config def multiply_and_add(nb1, nb2): return nb1 * nb2, nb1 + nb2 nb_1_cfg = Config.configure_data_node("nb_1", default_data=21) nb_2_cfg = Config.configure_data_node("nb_2", default_data=2) multiplication_cfg = Config.configure_data_node("multiplication") addition_cfg = Config.co...
from taipy import Config def double(nb): return nb * 2 input_data_node_cfg = Config.configure_data_node("input", default_data=21) output_data_node_cfg = Config.configure_data_node("output") double_task_cfg = Config.configure_task("double_task", ...
import taipy as tp from taipy import Config, Core ################################################################ # Configure your application # ################################################################ def build_message(name): return f"Hello {name}!" # A f...
import taipy as tp from taipy import Config, Scope def example_algorithm(entry: str): # does nothing! return entry input_cfg = Config.configure_data_node("input", path="input.pkl", scope=Scope.GLOBAL, default_data="A string") output_cfg = Config.configure_data_node("output", path="output.pkl", sco...
import taipy as tp from taipy import Config def example_algorithm(entry: str): # does nothing! return entry input_cfg = Config.configure_data_node("input", default_data="a_string") output_cfg = Config.configure_data_node("output", description="What a description") task_cfg = Config.configure_task...
import taipy as tp from taipy import Config def example_algorithm(entry: str): # does nothing! return entry input_cfg = Config.configure_data_node("input", default_data="a_string") output_cfg = Config.configure_data_node("output") task_cfg = Config.configure_task("example_algorithm", example_algo...
from datetime import datetime import pandas as pd from taipy import Config, Frequency, Scope def write_orders_plan(data: pd.DataFrame): insert_data = data[["date", "product_id", "number_of_products"]].to_dict("records") return ["DELETE FROM orders", ("INSERT INTO orders VALUES (:date, :product_id, ...
import taipy as tp if __name__ == "__main__": gui = tp.Gui(page="# Getting started with Taipy") rest = tp.Rest() tp.run(gui, rest, title="Taipy application")
from taipy import Config import taipy as tp import pandas as pd import datetime as dt data = pd.read_csv("https://raw.githubusercontent.com/Avaiga/taipy-getting-started-core/develop/src/daily-min-temperatures.csv") # Normal function used by Taipy def predict(historical_temperature: pd.DataFrame, date_to_f...
from taipy import Config import taipy as tp import pandas as pd import datetime as dt data = pd.read_csv("https://raw.githubusercontent.com/Avaiga/taipy-getting-started-core/develop/src/daily-min-temperatures.csv") # Normal function used by Taipy def predict(historical_temperature: pd.DataFrame, date_to_f...
from taipy.config import Config, Frequency, Scope import taipy as tp import datetime as dt import pandas as pd def filter_by_month(df, month): df['Date'] = pd.to_datetime(df['Date']) df = df[df['Date'].dt.month == month] return df Config.load('config.toml') scenario_cfg = Config.scenarios[...
from taipy.config import Config, Frequency, Scope import taipy as tp import datetime as dt import pandas as pd def filter_by_month(df, month): df['Date'] = pd.to_datetime(df['Date']) df = df[df['Date'].dt.month == month] return df historical_data_cfg = Config.configure_csv_data_node(id="his...
from taipy.core.config import Config import taipy as tp import datetime as dt import pandas as pd import time # Normal function used by Taipy def double(nb): return nb * 2 def add(nb): print("Wait 10 seconds in add function") time.sleep(10) return nb + 10 Config.load('config.toml') ...
from taipy.core.config import Config import taipy as tp import datetime as dt import pandas as pd import time # Normal function used by Taipy def double(nb): return nb * 2 def add(nb): print("Wait 10 seconds in add function") time.sleep(10) return nb + 10 Config.configure_job_execution...
from taipy.core.config import Config import taipy as tp # Normal function used by Taipy def double(nb): return nb * 2 def add(nb): return nb + 10 # Configuration of Data Nodes input_cfg = Config.configure_data_node("input", default_data=21) intermediate_cfg = Config.configure_data_node("inter...
from taipy.gui import Gui, notify text = "Original text" # Definition of the page page = """ # Getting started with Taipy GUI My text: <\|{text}\|> <\|{text}\|input\|> <\|Run local\|button\|on_action=on_button_action\|> """ def on_button_action(state): notify(state, 'info', f'The text is: {state.text}'...
from transformers import AutoTokenizer from transformers import AutoModelForSequenceClassification from scipy.special import softmax import numpy as np import pandas as pd from taipy.gui import Gui, notify text = "Original text" page = """ # Getting started with Taipy GUI <\|layout\|columns=1 1\| <\| My...
from transformers import AutoTokenizer from transformers import AutoModelForSequenceClassification from scipy.special import softmax import numpy as np import pandas as pd from taipy.gui import Gui, notify text = "Original text" page = """ # Getting started with Taipy GUI <\|layout\|columns=1 1\| <\| My...
from taipy.gui import Gui text = "Original text" page = """ # Getting started with Taipy GUI My text: <\|{text}\|> <\|{text}\|input\|> """ Gui(page).run(debug=True)
from transformers import AutoTokenizer from transformers import AutoModelForSequenceClassification from scipy.special import softmax import numpy as np import pandas as pd from taipy.gui import Gui, notify text = "Original text" MODEL = f"cardiffnlp/twitter-roberta-base-sentiment" tokenizer = AutoToken...
from taipy import Gui Gui(page="# Getting started with Taipy").run(debug=True)
import pandas as pd from taipy.gui import Gui, notify text = "Original text" page = """ <\|toggle\|theme\|> # Getting started with Taipy GUI My text: <\|{text}\|> <\|{text}\|input\|> <\|Analyze\|button\|on_action=local_callback\|> <\|{dataframe}\|table\|number_format=%.2f\|> <\|{dataframe}\|chart\|type=bar\|x=...
from taipy.config import Config from taipy.core import Status import taipy as tp import time # Normal function used by Taipy def double(nb): return nb * 2 def add(nb): return nb + 10 # Configuration of Data Nodes input_cfg = Config.configure_data_node("input", default_data=21) intermediate_...
""" A multi-page Taipy application, which includes 3 pages: - A rootpage which is shared by other pages. - Two pages named page_1 and page_2. Please refer to ../../manuals/gui/pages for more details. """ from pages import data_viz, scenario_page, performance from pages.root import * from configuration.con...
import datetime as dt import pandas as pd from taipy import Config, Scope, Frequency from algorithms.algorithms import * path_to_csv = "data/dataset.csv" # Datanodes (3.1) ## Input Data Nodes initial_dataset_cfg = Config.configure_data_node(id="initial_dataset", ...
# To make things clear, we've opted for an AutoRegressive model instead of a pure ML model like: # Random Forest, Linear Regression, LSTM, etc from statsmodels.tsa.ar_model import AutoReg import pandas as pd from sklearn.metrics import mean_squared_error, mean_absolute_error import numpy as np import datetime ...
from .data_viz import data_viz from .scenario import scenario_page from .performance import performance from .root import root_page
""" The rootpage of the application. Page content is imported from the root.md file. Please refer to ../../manuals/gui/pages for more details. """ from taipy.gui import Markdown root_page = Markdown("pages/root.md")
from .scenario import scenario_page
""" The second page of the application. Page content is imported from the page_2.md file. Please refer to ../../manuals/gui/pages for more details. """ from taipy.gui import Markdown, notify import datetime as dt import pandas as pd scenario = None data_node = None day = dt.datetime(2021, 7, 26) n_pr...
from .data_viz import data_viz
""" The first page of the application. Page content is imported from the page_1.md file. Please refer to ../../manuals/gui/pages for more details. """ from taipy.gui import Markdown import pandas as pd def get_data(path_to_csv: str): # pandas.read_csv() returns a pd.DataFrame dataset = pd.read_cs...
from .performance import performance
from taipy.gui import Markdown import pandas as pd import taipy as tp # Initial dataset for comparison comparison_scenario = pd.DataFrame(columns=["Scenario Name", "RMSE baseline", "MAE baseline", ...
import taipy as tp from taipy import Config, Core, Gui ################################################################ # Configure application # ################################################################ def build_message(name): return f"Hello {name}!" # ...
import taipy as tp from taipy import Config, Core ################################################################ # Configure application # ################################################################ def build_message(name): return f"Hello {name}!" # A fir...
import taipy as tp from taipy import Gui from taipy import Config from taipy import Core # Configure application def build_message(name: str)-> str: return f"Received message : {name}" # A first data node configuration to model an input name. input_name_data_node_cfg = Config.configure_data_node(...
import taipy as tp from taipy import Config from taipy import Core def build_message(name: str)-> str: return f"Received message : {name}" # A first data node configuration to model an input name. input_name_data_node_cfg = Config.configure_data_node(id="input_name") # A second data node configuration...
print("----------------------------------------------") print("---------------------TEST---------------------") print("----------------------------------------------")
import os import shutil import pytest @pytest.fixture(scope="function") def tmp_sqlite(tmpdir_factory): fn = tmpdir_factory.mktemp("db") return os.path.join(fn.strpath, "test.db") @pytest.fixture(autouse=True) def cleanup_data(): from time import sleep from sqlalchemy.orm import cl...
import os import pickle import taipy.core as tp from taipy.config import Config def test_pickle_files(): from tests.shared_test_cases.pickle_files import ( PICKLE_DICT_INPUT_PATH, PICKLE_DICT_OUTPUT_PATH, PICKLE_LIST_INPUT_PATH, PICKLE_LIST_OUTPUT_PATH, ROW_CO...
import os import shutil from io import StringIO from unittest.mock import patch import pytest from taipy._cli._scaffold_cli import _ScaffoldCLI from taipy._entrypoint import _entrypoint from tests.utils import clean_subparser @pytest.fixture(autouse=True, scope="function") def clean_templates(): c...
import os from unittest.mock import patch import pandas as pd import taipy.core.taipy as tp from taipy.config import Config from taipy.core import Core from taipy.core.config.job_config import JobConfig from taipy.core.job.status import Status from .complex_application_configs import ( average, bu...
from typing import Optional from flask_testing import TestCase from taipy.rest import Rest from tests.shared_test_cases.arima import build_arima_config class BaseTestCase(TestCase): def create_app(self): rest = Rest() rest._app.config["TESTING"] = True return rest._app cla...
# # Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with # the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software distributed u...
import taipy as tp from tests.shared_test_cases.arima.config import build_arima_config def test_submit_scenario_submit_success(): arima_scenario_config = build_arima_config() scenario = tp.create_scenario(arima_scenario_config) tp.submit(scenario) assert scenario.forecast_values.read() is no...
from taipy._cli._base_cli import _CLI def clean_subparser(): if getattr(_CLI._parser, "_subparsers", None): # Loop over all subparsers to find the one that has nested-subparsers and positional arguments for choice in _CLI._parser._subparsers._group_actions[0].choices.values(): ...
import os import modin.pandas as modin_pd import numpy as np import pandas as pd import taipy.core as tp from taipy.config import Config def test_excel(): from tests.shared_test_cases.single_excel_sheet import ( EXCEL_SINGLE_SHEET_INPUT_PATH, EXCEL_SINGLE_SHEET_OUTPUT_PATH, R...
import os import modin.pandas as modin_pd import numpy as np import pandas as pd import pytest import taipy.core as tp from taipy.config import Config def test_excel_multi_sheet(): from tests.shared_test_cases.multi_excel_sheets import ( EXCEL_INPUT_PATH, EXCEL_OUTPUT_PATH, ...
import json import os import taipy.core as tp from taipy.config import Config def test_json(): from tests.shared_test_cases.json_files import ( JSON_DICT_INPUT_PATH, JSON_DICT_OUTPUT_PATH, JSON_OBJECT_INPUT_PATH, JSON_OBJECT_OUTPUT_PATH, ROW_COUNT, Ro...
from unittest.mock import patch import pytest from taipy._entrypoint import _entrypoint from tests.utils import clean_subparser @pytest.fixture(autouse=True, scope="function") def clean_templates(): clean_subparser() yield def test_run_simple_taipy_app_without_taipy_args(capfd): with py...
import datetime as dt from time import sleep import numpy as np import pandas as pd from sklearn.ensemble import RandomForestClassifier from sklearn.linear_model import LogisticRegression from sklearn.metrics import roc_auc_score from sklearn.model_selection import train_test_split def sum(a, b): a =...
import os import modin.pandas as modin_pd import numpy as np import pandas as pd import taipy.core as tp from taipy.config import Config def test_csv(): from tests.shared_test_cases.csv_files.config import ( CSV_INPUT_PATH, CSV_OUTPUT_PATH, ROW_COUNT, Row, s...

# For the sake of clarity, we have used an AutoRegressive model rather than a pure ML model such as: # Random Forest, Linear Regression, LSTM, etc from statsmodels.tsa.ar_model import AutoReg import pandas as pd from sklearn.metrics import mean_squared_error, mean_absolute_error import numpy as np import datet...

from .data_viz import data_viz from .scenario import scenario_page from .performance import performance from .root import root_page

""" The rootpage of the application. Page content is imported from the root.md file. Please refer to https://docs.taipy.io/en/latest/manuals/gui/pages for more details. """ from taipy.gui import Markdown root_page = Markdown("pages/root.md")

from .scenario import scenario_page

""" The second page of the application. Page content is imported from the page_2.md file. Please refer to https://docs.taipy.io/en/latest/manuals/gui/pages for more details. """ from taipy.gui import Markdown, notify import datetime as dt import pandas as pd scenario = None day = dt.datetime(2021, 7, 2...

from .data_viz import data_viz

""" The first page of the application. Page content is imported from the page_1.md file. Please refer to https://docs.taipy.io/en/latest/manuals/gui/pages for more details. """ from taipy.gui import Markdown import pandas as pd def get_data(path_to_csv: str): # pandas.read_csv() returns a pd.DataFrame...

from .performance import performance

from taipy.gui import Markdown import pandas as pd import taipy as tp # Initial dataset for comparison comparison_scenario = pd.DataFrame(columns=["Scenario Name", "RMSE baseline", "MAE baseline", ...

import os import re import shutil import subprocess from _fetch_source_file import CLI, GitContext, read_doc_version_from_mkdocs_yml_template_file # Assuming this script is in taipy-doc/tools TOOLS_PATH = os.path.dirname(os.path.abspath(__file__)) ROOT_DIR = os.path.dirname(TOOLS_PATH) TOP_DIR = os.path.dir...

# ################################################################################ # setup_generation.py # Prepares all files before running MkDocs to generate the complete # Taipy documentation set. # # This setup is performed by executing successive steps, depending on the # topic (Reference Manual generati...

# ###################################################################### # # Syntax for cross-references to the Reference Manual: # `ClassName^` # generates a link from `ClassName` to the class doc page. # `functionName(*)^` # generates a link from `functionName(*)` to the function doc section. #...

import os import re import logging SITE_DIR = "site" def to_unix(p): return p.replace("\\","/") # Assuming that this script is located in <taipy-doc>/tools tools_dir = os.path.dirname(__file__) site_path = os.path.join(os.path.dirname(tools_dir), SITE_DIR) ref_site_path = to_unix(site_path) logger =...

""" Check that parameters' documentation have a uniform format. - `<param_name>`: [The |A |An ]*. """ import sys COMMENTS_CAN_START_WITH = ' The ', ' If ', ' An ', ' A ', ' TODO ' filename = sys.argv[1] for line in open(filename).readlines(): if line.replace(' ', '').startswith('-`') and ':' in line...

# ################################################################################ # Taipy REST API Reference Manual generation setup step. # # A Taipy REST server is created and the API is queries dynamically. # Then documentation pages are generated from the retrieved structure. # ###############################...

from .setup import run_setup

# ################################################################################ # Taipy GUI Extension Reference Manual generation setup step. # # The Reference Manual pages for the Taipy GUI JavaScript extension module # is generated using the typedoc tools, directly from the JavaScript # source files. # #####...

# ################################################################################ # Taipy Reference Manual generation setup step. # # Generate the entries for every documented class, method, and function. # This scripts browses the root package (Setup.ROOT_PACKAGE) and builds a # documentation file for every pack...

from abc import ABC, abstractmethod from datetime import datetime import re import shutil import sys from typing import List class Setup(ABC): ROOT_PACKAGE = "taipy" ENTERPRISE_BANNER = """!!! warning "Available in Taipy Enterprise edition" This section is relevant only to the Enterprise ed...

# ################################################################################ # Taipy GUI Visual Elements documentation. # # This includes the update of the Table of Contents for both the controls # and the blocks document pages. # # For each visual element, this script combines its property list and core #...

# ################################################################################ # Taipy Contributor list generation setup step. # # A contributors list is generated based on internal and external contributors # retrieved using GitHub REST APIs. # #################################################################...

import os from typing import List class GitContext(object): """Temporarily force GIT_TERMINAL_PROMPT to 0 for private repositories.""" V = "GIT_TERMINAL_PROMPT" def __init__(self, repo: str, private_repos: List[str]): self.value = None self.save_value = repo in private_repos ...

from .git_context import GitContext from .cli import CLI from .utils import read_doc_version_from_mkdocs_yml_template_file

import argparse class CLI(): DESCRIPTION = """\ Locally copies the source code of Taipy from different places in order to allow the generation of the documentation set. After this script has run, you can run 'mkdocs serve'. """ ARG_N_HELP = "Prevents the source repository update (local only)." A...

import os import re def read_doc_version_from_mkdocs_yml_template_file(root_dir): """Read version from mkdocs.yml template""" mkdocs_yml_template = None mkdocs_yml_template_path = os.path.join(root_dir, "mkdocs.yml_template") with open(mkdocs_yml_template_path, "r") as mkdocs_file: mk...

from datetime import datetime import pandas as pd from taipy import Config, Frequency, Scope def write_orders_plan(data: pd.DataFrame): insert_data = data[["date", "product_id", "number_of_products"]].to_dict("records") return ["DELETE FROM orders", ("INSERT INTO orders VALUES (:date, :product_id, ...

from taipy import Config from datetime import datetime class DailyMinTemp: def __init__(self, Date : datetime=None, Temp : float=None): self.Date = Date self.Temp = Temp def encode(self): return { "date": self.Date.isoformat(), "temperature": self.Tem...

from datetime import timedelta from taipy import Config, Scope date_cfg = Config.configure_data_node( id="date_cfg", description="The current date of the scenario", ) model_cfg = Config.configure_data_node( id="model_cfg", scope=Scope.CYCLE, storage_type="pickle", validity_period=t...

from taipy import Config historical_data_cfg = Config.configure_mongo_collection_data_node( id="historical_data", db_username="admin", db_password="pa$$w0rd", db_name="taipy", collection_name="historical_data_set", )

import csv from typing import List, Iterator from taipy import Config def read_csv(path: str, delimiter: str = ",") -> Iterator: with open(path, newline=' ') as csvfile: data = csv.reader(csvfile, delimiter=delimiter) return data def write_csv(data: List[str], path: str, delimiter: str = ...

from taipy import Config, Scope Config.set_default_data_node_configuration( storage_type="sql_table", db_username="username", db_password="p4$$w0rD", db_name="sale_db", db_engine="mssql", table_name="products", db_host="localhost", db_port=1437, db_driver="ODBC Driver 17 ...

from datetime import datetime as dt import pandas as pd from taipy import Config def read_csv(path: str) -> pd.DataFrame: # reading a csv file, define some column types and parse a string into datetime custom_parser = lambda x: dt.strptime(x, "%Y %m %d %H:%M:%S") data = pd.read_csv( path,...

from taipy import Config sales_history_cfg = Config.configure_sql_table_data_node( id="sales_history", db_username="admin", db_password="password", db_name="taipy", db_engine="mssql", table_name="sales", db_driver="ODBC Driver 17 for SQL Server", db_extra_args={"TrustServerCer...

from taipy import Config import pandas as pd def write_query_builder(data: pd.DataFrame): insert_data = data[["date", "nb_sales"]].to_dict("records") return [ "DELETE FROM sales", ("INSERT INTO sales VALUES (:date, :nb_sales)", insert_data) ] sales_history_cfg = Config.configure_...

from taipy import Config class SaleRow: date: str nb_sales: int hist_temp_cfg = Config.configure_excel_data_node( id="historical_temperature", default_path="path/hist_temp.xlsx", exposed_type="numpy") hist_log_cfg = Config.configure_excel_data_node( id="log_history", default_...

from taipy import Config from datetime import datetime date_cfg = Config.configure_in_memory_data_node( id="date", default_data=datetime(2022, 1, 25))

from taipy import Config sales_history_cfg = Config.configure_sql_table_data_node( id="sales_history", db_name="taipy", db_engine="sqlite", table_name="sales", sqlite_folder_path="database", sqlite_file_extension=".sqlite3", )

from taipy import Config data_node_cfg = Config.configure_data_node(id="data_node_cfg")

from taipy import Config class SaleRow: date: str nb_sales: int temp_cfg = Config.configure_csv_data_node( id="historical_temperature", default_path="path/hist_temp.csv", has_header=True, exposed_type="numpy") log_cfg = Config.configure_csv_data_node( id="log_history", d...

from taipy import Config temp_cfg = Config.configure_parquet_data_node( id="historical_temperature", default_path="path/hist_temp.parquet")

from taipy import Config import pandas as pd def write_query_builder(data: pd.DataFrame): insert_data = data[["date", "nb_sales"]].to_dict("records") return [ "DELETE FROM sales", ("INSERT INTO sales VALUES (:date, :nb_sales)", insert_data) ] sales_history_cfg = Config.configure_...

from taipy import Config import json class SaleRow: date: str nb_sales: int class SaleRowEncoder(json.JSONEncoder): def default(self, obj): if isinstance(obj, SaleRow): return { '__type__': "SaleRow", 'date': obj.date, 'n...

from taipy import Config read_kwargs = {"filters": [("log_level", "in", {"ERROR", "CRITICAL"})]} write_kwargs = {"partition_cols": ["log_level"], "compression": None} log_cfg = Config.configure_parquet_data_node( id="log_history", default_path="path/hist_log.parquet", engine="pyarrow", # default ...

from taipy import Config hist_temp_cfg = Config.configure_json_data_node( id="historical_temperature", default_path="path/hist_temp.json", )

from taipy import Config def read_text(path: str) -> str: with open(path, 'r') as text_reader: data = text_reader.read() return data def write_text(data: str, path: str) -> None: with open(path, 'w') as text_writer: text_writer.write(data) historical_data_cfg = Config.con...

from taipy import Config, Scope products_data_cfg = Config.configure_sql_table_data_node( id="products_data", db_username="foo", db_password="bar", db_name="db", db_engine="mssql", db_host="localhost", db_port=1437, db_driver="ODBC Driver 17 for SQL Server", db_extra_args...

from taipy import Config from datetime import datetime date_cfg = Config.configure_pickle_data_node( id="date_cfg", default_data=datetime(2022, 1, 25)) model_cfg = Config.configure_pickle_data_node( id="model_cfg", default_path="path/to/my/model.p", description="The trained model")

from taipy import Config def multiply_and_add(nb1, nb2): return nb1 * nb2, nb1 + nb2 nb_1_cfg = Config.configure_data_node("nb_1", default_data=21) nb_2_cfg = Config.configure_data_node("nb_2", default_data=2) multiplication_cfg = Config.configure_data_node("multiplication") addition_cfg = Config.co...

from taipy import Config def double(nb): return nb * 2 input_data_node_cfg = Config.configure_data_node("input", default_data=21) output_data_node_cfg = Config.configure_data_node("output") double_task_cfg = Config.configure_task("double_task", ...

import taipy as tp from taipy import Config, Core ################################################################ # Configure your application # ################################################################ def build_message(name): return f"Hello {name}!" # A f...

import taipy as tp from taipy import Config, Scope def example_algorithm(entry: str): # does nothing! return entry input_cfg = Config.configure_data_node("input", path="input.pkl", scope=Scope.GLOBAL, default_data="A string") output_cfg = Config.configure_data_node("output", path="output.pkl", sco...

import taipy as tp from taipy import Config def example_algorithm(entry: str): # does nothing! return entry input_cfg = Config.configure_data_node("input", default_data="a_string") output_cfg = Config.configure_data_node("output", description="What a description") task_cfg = Config.configure_task...

import taipy as tp from taipy import Config def example_algorithm(entry: str): # does nothing! return entry input_cfg = Config.configure_data_node("input", default_data="a_string") output_cfg = Config.configure_data_node("output") task_cfg = Config.configure_task("example_algorithm", example_algo...

from datetime import datetime import pandas as pd from taipy import Config, Frequency, Scope def write_orders_plan(data: pd.DataFrame): insert_data = data[["date", "product_id", "number_of_products"]].to_dict("records") return ["DELETE FROM orders", ("INSERT INTO orders VALUES (:date, :product_id, ...

import taipy as tp if __name__ == "__main__": gui = tp.Gui(page="# Getting started with *Taipy*") rest = tp.Rest() tp.run(gui, rest, title="Taipy application")

from taipy import Config import taipy as tp import pandas as pd import datetime as dt data = pd.read_csv("https://raw.githubusercontent.com/Avaiga/taipy-getting-started-core/develop/src/daily-min-temperatures.csv") # Normal function used by Taipy def predict(historical_temperature: pd.DataFrame, date_to_f...

from taipy.config import Config, Frequency, Scope import taipy as tp import datetime as dt import pandas as pd def filter_by_month(df, month): df['Date'] = pd.to_datetime(df['Date']) df = df[df['Date'].dt.month == month] return df Config.load('config.toml') scenario_cfg = Config.scenarios[...

from taipy.config import Config, Frequency, Scope import taipy as tp import datetime as dt import pandas as pd def filter_by_month(df, month): df['Date'] = pd.to_datetime(df['Date']) df = df[df['Date'].dt.month == month] return df historical_data_cfg = Config.configure_csv_data_node(id="his...

from taipy.core.config import Config import taipy as tp import datetime as dt import pandas as pd import time # Normal function used by Taipy def double(nb): return nb * 2 def add(nb): print("Wait 10 seconds in add function") time.sleep(10) return nb + 10 Config.load('config.toml') ...

from taipy.core.config import Config import taipy as tp import datetime as dt import pandas as pd import time # Normal function used by Taipy def double(nb): return nb * 2 def add(nb): print("Wait 10 seconds in add function") time.sleep(10) return nb + 10 Config.configure_job_execution...

from taipy.core.config import Config import taipy as tp # Normal function used by Taipy def double(nb): return nb * 2 def add(nb): return nb + 10 # Configuration of Data Nodes input_cfg = Config.configure_data_node("input", default_data=21) intermediate_cfg = Config.configure_data_node("inter...

from taipy.gui import Gui, notify text = "Original text" # Definition of the page page = """ # Getting started with Taipy GUI My text: <|{text}|> <|{text}|input|> <|Run local|button|on_action=on_button_action|> """ def on_button_action(state): notify(state, 'info', f'The text is: {state.text}'...

from transformers import AutoTokenizer from transformers import AutoModelForSequenceClassification from scipy.special import softmax import numpy as np import pandas as pd from taipy.gui import Gui, notify text = "Original text" page = """ # Getting started with Taipy GUI <|layout|columns=1 1| <| My...

from taipy.gui import Gui text = "Original text" page = """ # Getting started with Taipy GUI My text: <|{text}|> <|{text}|input|> """ Gui(page).run(debug=True)

from transformers import AutoTokenizer from transformers import AutoModelForSequenceClassification from scipy.special import softmax import numpy as np import pandas as pd from taipy.gui import Gui, notify text = "Original text" MODEL = f"cardiffnlp/twitter-roberta-base-sentiment" tokenizer = AutoToken...

from taipy import Gui Gui(page="# Getting started with *Taipy*").run(debug=True)

import pandas as pd from taipy.gui import Gui, notify text = "Original text" page = """ <|toggle|theme|> # Getting started with Taipy GUI My text: <|{text}|> <|{text}|input|> <|Analyze|button|on_action=local_callback|> <|{dataframe}|table|number_format=%.2f|> <|{dataframe}|chart|type=bar|x=...

from taipy.config import Config from taipy.core import Status import taipy as tp import time # Normal function used by Taipy def double(nb): return nb * 2 def add(nb): return nb + 10 # Configuration of Data Nodes input_cfg = Config.configure_data_node("input", default_data=21) intermediate_...

""" A multi-page Taipy application, which includes 3 pages: - A rootpage which is shared by other pages. - Two pages named page_1 and page_2. Please refer to ../../manuals/gui/pages for more details. """ from pages import data_viz, scenario_page, performance from pages.root import * from configuration.con...

import datetime as dt import pandas as pd from taipy import Config, Scope, Frequency from algorithms.algorithms import * path_to_csv = "data/dataset.csv" # Datanodes (3.1) ## Input Data Nodes initial_dataset_cfg = Config.configure_data_node(id="initial_dataset", ...

# To make things clear, we've opted for an AutoRegressive model instead of a pure ML model like: # Random Forest, Linear Regression, LSTM, etc from statsmodels.tsa.ar_model import AutoReg import pandas as pd from sklearn.metrics import mean_squared_error, mean_absolute_error import numpy as np import datetime ...

from .data_viz import data_viz from .scenario import scenario_page from .performance import performance from .root import root_page

""" The rootpage of the application. Page content is imported from the root.md file. Please refer to ../../manuals/gui/pages for more details. """ from taipy.gui import Markdown root_page = Markdown("pages/root.md")

from .scenario import scenario_page

""" The second page of the application. Page content is imported from the page_2.md file. Please refer to ../../manuals/gui/pages for more details. """ from taipy.gui import Markdown, notify import datetime as dt import pandas as pd scenario = None data_node = None day = dt.datetime(2021, 7, 26) n_pr...

from .data_viz import data_viz

""" The first page of the application. Page content is imported from the page_1.md file. Please refer to ../../manuals/gui/pages for more details. """ from taipy.gui import Markdown import pandas as pd def get_data(path_to_csv: str): # pandas.read_csv() returns a pd.DataFrame dataset = pd.read_cs...

from .performance import performance

from taipy.gui import Markdown import pandas as pd import taipy as tp # Initial dataset for comparison comparison_scenario = pd.DataFrame(columns=["Scenario Name", "RMSE baseline", "MAE baseline", ...

import taipy as tp from taipy import Config, Core, Gui ################################################################ # Configure application # ################################################################ def build_message(name): return f"Hello {name}!" # ...

import taipy as tp from taipy import Config, Core ################################################################ # Configure application # ################################################################ def build_message(name): return f"Hello {name}!" # A fir...

import taipy as tp from taipy import Gui from taipy import Config from taipy import Core # Configure application def build_message(name: str)-> str: return f"Received message : {name}" # A first data node configuration to model an input name. input_name_data_node_cfg = Config.configure_data_node(...

import taipy as tp from taipy import Config from taipy import Core def build_message(name: str)-> str: return f"Received message : {name}" # A first data node configuration to model an input name. input_name_data_node_cfg = Config.configure_data_node(id="input_name") # A second data node configuration...

print("----------------------------------------------") print("---------------------TEST---------------------") print("----------------------------------------------")

import os import shutil import pytest @pytest.fixture(scope="function") def tmp_sqlite(tmpdir_factory): fn = tmpdir_factory.mktemp("db") return os.path.join(fn.strpath, "test.db") @pytest.fixture(autouse=True) def cleanup_data(): from time import sleep from sqlalchemy.orm import cl...

import os import pickle import taipy.core as tp from taipy.config import Config def test_pickle_files(): from tests.shared_test_cases.pickle_files import ( PICKLE_DICT_INPUT_PATH, PICKLE_DICT_OUTPUT_PATH, PICKLE_LIST_INPUT_PATH, PICKLE_LIST_OUTPUT_PATH, ROW_CO...

import os import shutil from io import StringIO from unittest.mock import patch import pytest from taipy._cli._scaffold_cli import _ScaffoldCLI from taipy._entrypoint import _entrypoint from tests.utils import clean_subparser @pytest.fixture(autouse=True, scope="function") def clean_templates(): c...

import os from unittest.mock import patch import pandas as pd import taipy.core.taipy as tp from taipy.config import Config from taipy.core import Core from taipy.core.config.job_config import JobConfig from taipy.core.job.status import Status from .complex_application_configs import ( average, bu...

from typing import Optional from flask_testing import TestCase from taipy.rest import Rest from tests.shared_test_cases.arima import build_arima_config class BaseTestCase(TestCase): def create_app(self): rest = Rest() rest._app.config["TESTING"] = True return rest._app cla...

# # Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with # the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software distributed u...

import taipy as tp from tests.shared_test_cases.arima.config import build_arima_config def test_submit_scenario_submit_success(): arima_scenario_config = build_arima_config() scenario = tp.create_scenario(arima_scenario_config) tp.submit(scenario) assert scenario.forecast_values.read() is no...

from taipy._cli._base_cli import _CLI def clean_subparser(): if getattr(_CLI._parser, "_subparsers", None): # Loop over all subparsers to find the one that has nested-subparsers and positional arguments for choice in _CLI._parser._subparsers._group_actions[0].choices.values(): ...

import os import modin.pandas as modin_pd import numpy as np import pandas as pd import taipy.core as tp from taipy.config import Config def test_excel(): from tests.shared_test_cases.single_excel_sheet import ( EXCEL_SINGLE_SHEET_INPUT_PATH, EXCEL_SINGLE_SHEET_OUTPUT_PATH, R...

import os import modin.pandas as modin_pd import numpy as np import pandas as pd import pytest import taipy.core as tp from taipy.config import Config def test_excel_multi_sheet(): from tests.shared_test_cases.multi_excel_sheets import ( EXCEL_INPUT_PATH, EXCEL_OUTPUT_PATH, ...

import json import os import taipy.core as tp from taipy.config import Config def test_json(): from tests.shared_test_cases.json_files import ( JSON_DICT_INPUT_PATH, JSON_DICT_OUTPUT_PATH, JSON_OBJECT_INPUT_PATH, JSON_OBJECT_OUTPUT_PATH, ROW_COUNT, Ro...

from unittest.mock import patch import pytest from taipy._entrypoint import _entrypoint from tests.utils import clean_subparser @pytest.fixture(autouse=True, scope="function") def clean_templates(): clean_subparser() yield def test_run_simple_taipy_app_without_taipy_args(capfd): with py...

import datetime as dt from time import sleep import numpy as np import pandas as pd from sklearn.ensemble import RandomForestClassifier from sklearn.linear_model import LogisticRegression from sklearn.metrics import roc_auc_score from sklearn.model_selection import train_test_split def sum(a, b): a =...

import os import modin.pandas as modin_pd import numpy as np import pandas as pd import taipy.core as tp from taipy.config import Config def test_csv(): from tests.shared_test_cases.csv_files.config import ( CSV_INPUT_PATH, CSV_OUTPUT_PATH, ROW_COUNT, Row, s...