thanhnew2001/taipycode3c · Datasets at Hugging Face

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from .config import *
""" This file is designed to contain the various Python functions used to configure tasks. The functions will be imported by the __init__.py file in this folder. """ # ################################################################################################################## # PLACEHOLDER: Put your Pyth...
from algorithms import *
from .root import root_page
""" The root page 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")
""" A page of the application. Page content is imported from the page_example.md file. Please refer to https://docs.taipy.io/en/latest/manuals/gui/pages for more details. """ from taipy.gui import Markdown page_example = Markdown("pages/page_example/page_example.md")
import sys pages = "{{ cookiecutter.__pages }}".split(" ") # Remove empty string from pages list pages = [page for page in pages if page != ""] for page in pages: if not page.isidentifier(): sys.exit(f'Page name "{page}" is not a valid Python identifier. Please choose another name.')
from ._GuiCoreLib import _GuiCore def _init_gui_core(): from taipy.gui import Gui Gui.add_library(_GuiCore()) _init_gui_core()
from ._init import *
import json import os def _get_version(): with open(f"{os.path.dirname(os.path.abspath(__file__))}{os.sep}version.json") as version_file: version = json.load(version_file) version_string = f'{version.get("major", 0)}.{version.get("minor", 0)}.{version.get("patch", 0)}' if vext := v...
from .rest import Rest
# # 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...
"""# Taipy Rest The Taipy Rest package exposes the Runnable `Rest^` service to provide REST APIs on top of Taipy Core. (more details on Taipy Core functionalities in the [user manual](../../../manuals/core/)). Once the `Rest^` service runs, users can call REST APIs to create, read, update, submit and remove Taip...
"""Extensions registry All extensions here are used as singletons and initialized in application factory """ from .commons.apispec import APISpecExt apispec = APISpecExt()
# # 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 os from flask import Flask from . import api from .commons.encoder import _CustomEncoder from .extensions import apispec def create_app(testing=False, flask_env=None, secret_key=None): """Application factory, used to create application""" app = Flask(__name__) app.config.update( ...
from taipy.core.cycle._cycle_converter import _CycleConverter from taipy.core.data._data_converter import _DataNodeConverter from taipy.core.scenario._scenario_converter import _ScenarioConverter from taipy.core.sequence._sequence_converter import _SequenceConverter from taipy.core.task._task_converter import _Task...
# # 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...
from apispec import APISpec from apispec.exceptions import APISpecError from apispec.ext.marshmallow import MarshmallowPlugin from apispec_webframeworks.flask import FlaskPlugin from flask import Blueprint, jsonify, render_template class FlaskRestfulPlugin(FlaskPlugin): """Small plugin override to handle ...
import json from datetime import datetime from enum import Enum from typing import Any, Union Json = Union[dict, list, str, int, float, bool, None] class _CustomEncoder(json.JSONEncoder): def default(self, o: Any) -> Json: if isinstance(o, Enum): result = o.value elif isin...
"""Simple helper to paginate query """ from flask import request, url_for DEFAULT_PAGE_SIZE = 50 DEFAULT_PAGE_NUMBER = 1 def extract_pagination(page=None, per_page=None, **request_args): page = int(page) if page is not None else DEFAULT_PAGE_NUMBER per_page = int(per_page) if per_page is not None e...
from . import error_handler, views __all__ = ["views", "error_handler"]
from flask import jsonify from marshmallow import ValidationError from taipy.core.exceptions.exceptions import ( NonExistingCycle, NonExistingDataNode, NonExistingDataNodeConfig, NonExistingJob, NonExistingScenario, NonExistingScenarioConfig, NonExistingSequence, NonExistingS...
from flask import Blueprint, current_app from flask_restful import Api from taipy.core.common._utils import _load_fct from taipy.logger._taipy_logger import _TaipyLogger from ..extensions import apispec from .middlewares._middleware import _using_enterprise from .resources import ( CycleList, CycleR...
from .cycle import CycleList, CycleResource from .datanode import DataNodeList, DataNodeReader, DataNodeResource, DataNodeWriter from .job import JobExecutor, JobList, JobResource from .scenario import ScenarioExecutor, ScenarioList, ScenarioResource from .sequence import SequenceExecutor, SequenceList, SequenceRes...
# # 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...
from functools import wraps from importlib import util from taipy.core.common._utils import _load_fct def _middleware(f): @wraps(f) def wrapper(args, kwargs): if _using_enterprise(): return _enterprise_middleware()(f)(args, *kwargs) else: return f(arg...
# # 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...
class ConfigIdMissingException(Exception): def __init__(self): self.message = "Config id is missing." class ScenarioIdMissingException(Exception): def __init__(self): self.message = "Scenario id is missing." class SequenceNameMissingException(Exception): def __init__(self): ...
from marshmallow import Schema, fields class CycleSchema(Schema): name = fields.String() frequency = fields.String() properties = fields.Dict() creation_date = fields.String() start_date = fields.String() end_date = fields.String() class CycleResponseSchema(CycleSchema): id ...
from marshmallow import Schema, fields class TaskSchema(Schema): config_id = fields.String() id = fields.String() owner_id = fields.String() parent_ids = fields.List(fields.String) input_ids = fields.List(fields.String) function_name = fields.String() function_module = fields.Str...
from marshmallow import Schema, fields class CallableSchema(Schema): fct_name = fields.String() fct_module = fields.String() class JobSchema(Schema): id = fields.String() task_id = fields.String() status = fields.String() force = fields.Boolean() creation_date = fields.Strin...
from marshmallow import Schema, fields class SequenceSchema(Schema): owner_id = fields.String() parent_ids = fields.List(fields.String) tasks = fields.List(fields.String) version = fields.String() properties = fields.Dict() class SequenceResponseSchema(SequenceSchema): id = field...
from .cycle import CycleResponseSchema, CycleSchema from .datanode import ( CSVDataNodeConfigSchema, DataNodeConfigSchema, DataNodeFilterSchema, DataNodeSchema, ExcelDataNodeConfigSchema, GenericDataNodeConfigSchema, InMemoryDataNodeConfigSchema, JSONDataNodeConfigSchema, M...
from marshmallow import Schema, fields, pre_dump class DataNodeSchema(Schema): config_id = fields.String() scope = fields.String() id = fields.String() storage_type = fields.String() name = fields.String() owner_id = fields.String() parent_ids = fields.List(fields.String) la...
from marshmallow import Schema, fields class ScenarioSchema(Schema): sequences = fields.Dict() properties = fields.Dict() primary_scenario = fields.Boolean(default=False) tags = fields.List(fields.String) version = fields.String() class ScenarioResponseSchema(ScenarioSchema): id ...
from taipy.gui import Gui from pages.examples import page_examples pages = {"/":""" Cette page est générée avec Taipy. Voir taipy.io pour plus d'informations <\|navbar\|>""", "Examples":page_examples} if __name__=="__main__": gui = Gui(pages=pages) gui.run(port=5006)
import tensorflow as tf import tensorflow.keras.preprocessing.image as imgtf import numpy as np from io import BytesIO def load_model(local_model_path): model = tf.keras.models.load_model(local_model_path, custom_objects={"iou_coef":iou_coef} ...
from taipy.gui import Markdown import time from prediction_function.predmodel import * import tensorflow as tf import tensorflow.keras.backend as K from io import BytesIO image_originale = None image_traitee = None image_solution = None ville=None inference_time = 0. model = load_model("./model/unet_vgg1...
msg = "Hello world" print(msg)
from taipy.gui import Gui from math import cos, exp page = """ #This is Taipy GUI A value: <\|{decay}\|>. A slider: <br/> <\|{decay}\|slider\|> My chart: <\|{data}\|chart\|> """ def compute_data(decay): return [cos(i/16) * exp(-i*decay/6000) for i in range(720)] def on_change(state, var_name, v...
import json import time import requests import pandas as pd from taipy.gui import Gui, notify API_KEY = "ADD YOUR OPENAI API KEY HERE" INITIAL_PROMPT = "I am a helpful assistant." MAX_TOKENS = 150 API_ENDPOINT = "https://api.openai.com/v1/chat/completions" def generate_completion(messages, model="gpt...
""" Module Name: Frontend App with Taipy GUI Author: Kenneth Leung Last Modified: 25 Mar 2023 """ # Launch app with the command in CLI: python main.py from src.config import * from src.functions import * from pages.analysis_md import * from pages.data_viewer_md import * import taipy as tp from taipy.gui impo...
""" Module Name: Page Markdown Template (Analysis Page) Author: Kenneth Leung Last Modified: 8 Apr 2023 """ import taipy as tp from taipy.gui import notify from src.config import scenario_cfg import yaml with open('config.yml') as f: cfg = yaml.safe_load(f) query = cfg['QUERY'] ngram_min = cfg['NGRA...
""" Module Name: Page Markdown Template Author: Kenneth Leung Last Modified: 19 Mar 2023 """ data_page = """ # Extracted arXiv Abstracts <\|{df}\|table\|> """
""" Module Name: Core Functions (Backend) Author: Kenneth Leung Last Modified: 19 Mar 2023 """ import arxiv import pandas as pd import yaml from keybert import KeyBERT with open('config.yml') as f: cfg = yaml.safe_load(f) def extract_arxiv(query: str): search = arxiv.Search( q...
""" Module Name: Taipy Configurations Author: Kenneth Leung Last Modified: 19 Mar 2023 """ import yaml from taipy import Config, Scope from src.functions import * with open('config.yml') as f: cfg = yaml.safe_load(f) # ==================== # Input Data Nodes # ==================== # To place in...

from taipy.gui import Gui from pages import * pages = { "/": root_page, "pages": pages } if __name__ == "__main__": gui = Gui(pages=pages) gui.run(title="ui")
from .root import root_page from .pages.pages import pages
""" """ from taipy.gui import Markdown root_page = Markdown("pages/root.md")
""" <\|{value}\|text\|format=%.2f\|> """ from taipy.gui import Markdown pages = Markdown("pages/pages/pages.md")
import random # Define a dictionary to store the year-wise and month-wise electricity usage electricity_usage = {} months = ['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December'] # For each year and each month, generate a random number betwee...
from taipy.gui import Gui import taipy as tp import pandas as pd import os section_1 = """ ## Power Consumption Dashboard <\|{dataset}\|chart\|x=YearMonth\|y[1]=Usage\|color=blue\|> """ dataset = pd.read_csv("data.csv") rest = tp.Rest() gui = Gui(page=section_1) tp.run( rest=rest, gui=gui, ...
""" 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 https://docs.taipy.io/en/latest/manuals/gui/pages for more details. """ from pages import data_viz, scenario_page, performance from pages.root import *...
import datetime as dt import pandas as pd from taipy import Config, Scope, Frequency from algos.algos import * path_to_csv = "data/dataset.csv" # Datanodes (3.1) ## Input Data Nodes initial_dataset_cfg = Config.configure_data_node(id="initial_dataset", st...
# 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", ...
# ################################################################################ # 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...
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...
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. # #####...
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...
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...

from .config import *

""" This file is designed to contain the various Python functions used to configure tasks. The functions will be imported by the __init__.py file in this folder. """ # ################################################################################################################## # PLACEHOLDER: Put your Pyth...

from algorithms import *

from .root import root_page

""" The root page 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")

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

import sys pages = "{{ cookiecutter.__pages }}".split(" ") # Remove empty string from pages list pages = [page for page in pages if page != ""] for page in pages: if not page.isidentifier(): sys.exit(f'Page name "{page}" is not a valid Python identifier. Please choose another name.')

from ._GuiCoreLib import _GuiCore def _init_gui_core(): from taipy.gui import Gui Gui.add_library(_GuiCore()) _init_gui_core()

from ._init import *

import json import os def _get_version(): with open(f"{os.path.dirname(os.path.abspath(__file__))}{os.sep}version.json") as version_file: version = json.load(version_file) version_string = f'{version.get("major", 0)}.{version.get("minor", 0)}.{version.get("patch", 0)}' if vext := v...

from .rest import Rest

# # 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...

"""# Taipy Rest The Taipy Rest package exposes the Runnable `Rest^` service to provide REST APIs on top of Taipy Core. (more details on Taipy Core functionalities in the [user manual](../../../manuals/core/)). Once the `Rest^` service runs, users can call REST APIs to create, read, update, submit and remove Taip...

"""Extensions registry All extensions here are used as singletons and initialized in application factory """ from .commons.apispec import APISpecExt apispec = APISpecExt()

# # 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 os from flask import Flask from . import api from .commons.encoder import _CustomEncoder from .extensions import apispec def create_app(testing=False, flask_env=None, secret_key=None): """Application factory, used to create application""" app = Flask(__name__) app.config.update( ...

from taipy.core.cycle._cycle_converter import _CycleConverter from taipy.core.data._data_converter import _DataNodeConverter from taipy.core.scenario._scenario_converter import _ScenarioConverter from taipy.core.sequence._sequence_converter import _SequenceConverter from taipy.core.task._task_converter import _Task...

# # 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...

from apispec import APISpec from apispec.exceptions import APISpecError from apispec.ext.marshmallow import MarshmallowPlugin from apispec_webframeworks.flask import FlaskPlugin from flask import Blueprint, jsonify, render_template class FlaskRestfulPlugin(FlaskPlugin): """Small plugin override to handle ...

import json from datetime import datetime from enum import Enum from typing import Any, Union Json = Union[dict, list, str, int, float, bool, None] class _CustomEncoder(json.JSONEncoder): def default(self, o: Any) -> Json: if isinstance(o, Enum): result = o.value elif isin...

"""Simple helper to paginate query """ from flask import request, url_for DEFAULT_PAGE_SIZE = 50 DEFAULT_PAGE_NUMBER = 1 def extract_pagination(page=None, per_page=None, **request_args): page = int(page) if page is not None else DEFAULT_PAGE_NUMBER per_page = int(per_page) if per_page is not None e...

from . import error_handler, views __all__ = ["views", "error_handler"]

from flask import jsonify from marshmallow import ValidationError from taipy.core.exceptions.exceptions import ( NonExistingCycle, NonExistingDataNode, NonExistingDataNodeConfig, NonExistingJob, NonExistingScenario, NonExistingScenarioConfig, NonExistingSequence, NonExistingS...

from flask import Blueprint, current_app from flask_restful import Api from taipy.core.common._utils import _load_fct from taipy.logger._taipy_logger import _TaipyLogger from ..extensions import apispec from .middlewares._middleware import _using_enterprise from .resources import ( CycleList, CycleR...

from .cycle import CycleList, CycleResource from .datanode import DataNodeList, DataNodeReader, DataNodeResource, DataNodeWriter from .job import JobExecutor, JobList, JobResource from .scenario import ScenarioExecutor, ScenarioList, ScenarioResource from .sequence import SequenceExecutor, SequenceList, SequenceRes...

# # 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...

from functools import wraps from importlib import util from taipy.core.common._utils import _load_fct def _middleware(f): @wraps(f) def wrapper(*args, **kwargs): if _using_enterprise(): return _enterprise_middleware()(f)(*args, **kwargs) else: return f(*arg...

# # 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...

class ConfigIdMissingException(Exception): def __init__(self): self.message = "Config id is missing." class ScenarioIdMissingException(Exception): def __init__(self): self.message = "Scenario id is missing." class SequenceNameMissingException(Exception): def __init__(self): ...

from marshmallow import Schema, fields class CycleSchema(Schema): name = fields.String() frequency = fields.String() properties = fields.Dict() creation_date = fields.String() start_date = fields.String() end_date = fields.String() class CycleResponseSchema(CycleSchema): id ...

from marshmallow import Schema, fields class TaskSchema(Schema): config_id = fields.String() id = fields.String() owner_id = fields.String() parent_ids = fields.List(fields.String) input_ids = fields.List(fields.String) function_name = fields.String() function_module = fields.Str...

from marshmallow import Schema, fields class CallableSchema(Schema): fct_name = fields.String() fct_module = fields.String() class JobSchema(Schema): id = fields.String() task_id = fields.String() status = fields.String() force = fields.Boolean() creation_date = fields.Strin...

from marshmallow import Schema, fields class SequenceSchema(Schema): owner_id = fields.String() parent_ids = fields.List(fields.String) tasks = fields.List(fields.String) version = fields.String() properties = fields.Dict() class SequenceResponseSchema(SequenceSchema): id = field...

from .cycle import CycleResponseSchema, CycleSchema from .datanode import ( CSVDataNodeConfigSchema, DataNodeConfigSchema, DataNodeFilterSchema, DataNodeSchema, ExcelDataNodeConfigSchema, GenericDataNodeConfigSchema, InMemoryDataNodeConfigSchema, JSONDataNodeConfigSchema, M...

from marshmallow import Schema, fields, pre_dump class DataNodeSchema(Schema): config_id = fields.String() scope = fields.String() id = fields.String() storage_type = fields.String() name = fields.String() owner_id = fields.String() parent_ids = fields.List(fields.String) la...

from marshmallow import Schema, fields class ScenarioSchema(Schema): sequences = fields.Dict() properties = fields.Dict() primary_scenario = fields.Boolean(default=False) tags = fields.List(fields.String) version = fields.String() class ScenarioResponseSchema(ScenarioSchema): id ...

from taipy.gui import Gui from pages.examples import page_examples pages = {"/":""" Cette page est générée avec Taipy. Voir taipy.io pour plus d'informations <|navbar|>""", "Examples":page_examples} if __name__=="__main__": gui = Gui(pages=pages) gui.run(port=5006)

import tensorflow as tf import tensorflow.keras.preprocessing.image as imgtf import numpy as np from io import BytesIO def load_model(local_model_path): model = tf.keras.models.load_model(local_model_path, custom_objects={"iou_coef":iou_coef} ...

from taipy.gui import Markdown import time from prediction_function.predmodel import * import tensorflow as tf import tensorflow.keras.backend as K from io import BytesIO image_originale = None image_traitee = None image_solution = None ville=None inference_time = 0. model = load_model("./model/unet_vgg1...

msg = "Hello world" print(msg)

from taipy.gui import Gui from math import cos, exp page = """ #This is *Taipy* GUI A value: <|{decay}|>. A slider: <br/> <|{decay}|slider|> My chart: <|{data}|chart|> """ def compute_data(decay): return [cos(i/16) * exp(-i*decay/6000) for i in range(720)] def on_change(state, var_name, v...

import json import time import requests import pandas as pd from taipy.gui import Gui, notify API_KEY = "ADD YOUR OPENAI API KEY HERE" INITIAL_PROMPT = "I am a helpful assistant." MAX_TOKENS = 150 API_ENDPOINT = "https://api.openai.com/v1/chat/completions" def generate_completion(messages, model="gpt...

""" Module Name: Frontend App with Taipy GUI Author: Kenneth Leung Last Modified: 25 Mar 2023 """ # Launch app with the command in CLI: python main.py from src.config import * from src.functions import * from pages.analysis_md import * from pages.data_viewer_md import * import taipy as tp from taipy.gui impo...

""" Module Name: Page Markdown Template (Analysis Page) Author: Kenneth Leung Last Modified: 8 Apr 2023 """ import taipy as tp from taipy.gui import notify from src.config import scenario_cfg import yaml with open('config.yml') as f: cfg = yaml.safe_load(f) query = cfg['QUERY'] ngram_min = cfg['NGRA...

""" Module Name: Page Markdown Template Author: Kenneth Leung Last Modified: 19 Mar 2023 """ data_page = """ # Extracted arXiv Abstracts <|{df}|table|> """

""" Module Name: Core Functions (Backend) Author: Kenneth Leung Last Modified: 19 Mar 2023 """ import arxiv import pandas as pd import yaml from keybert import KeyBERT with open('config.yml') as f: cfg = yaml.safe_load(f) def extract_arxiv(query: str): search = arxiv.Search( q...

""" Module Name: Taipy Configurations Author: Kenneth Leung Last Modified: 19 Mar 2023 """ import yaml from taipy import Config, Scope from src.functions import * with open('config.yml') as f: cfg = yaml.safe_load(f) # ==================== # Input Data Nodes # ==================== # To place in...

from taipy.gui import Gui from pages import * pages = { "/": root_page, "pages": pages } if __name__ == "__main__": gui = Gui(pages=pages) gui.run(title="ui")

from .root import root_page from .pages.pages import pages

""" """ from taipy.gui import Markdown root_page = Markdown("pages/root.md")

""" <|{value}|text|format=%.2f|> """ from taipy.gui import Markdown pages = Markdown("pages/pages/pages.md")

import random # Define a dictionary to store the year-wise and month-wise electricity usage electricity_usage = {} months = ['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December'] # For each year and each month, generate a random number betwee...

from taipy.gui import Gui import taipy as tp import pandas as pd import os section_1 = """ ## Power Consumption Dashboard <|{dataset}|chart|x=YearMonth|y[1]=Usage|color=blue|> """ dataset = pd.read_csv("data.csv") rest = tp.Rest() gui = Gui(page=section_1) tp.run( rest=rest, gui=gui, ...

""" 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 https://docs.taipy.io/en/latest/manuals/gui/pages for more details. """ from pages import data_viz, scenario_page, performance from pages.root import *...

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

# 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", ...

# ################################################################################ # 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...

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...

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. # #####...

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...

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...