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Merge pull request #214 from NelGson/master
R Services Getting Started update
This commit is contained in:
Umachandar Jayachandran
GitHub
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# Build a predictive model with SQL Server Python
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This sample shows how to create a predictive model in Python and operationalize it with SQL Server vNext.
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### Contents
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[About this sample](#about-this-sample)<br/>
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[Before you begin](#before-you-begin)<br/>
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[Sample details](#sample-details)<br/>
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[Related links](#related-links)<br/>
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<a name=about-this-sample></a>
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## About this sample
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Predictive modeling is a powerful way to add intelligence to your application. It enables applications to predict outcomes against new data.
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The act of incorporating predictive analytics into your applications involves two major phases:
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model training and model operationalization.
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In this sample, you will learn how to create a predictive model in python and operationalize it with SQL Server vNext.
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<!-- Delete the ones that don't apply -->
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- **Applies to:** SQL Server vNext
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- **Key features:**SQL Server Machine Learning Services
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- **Workload:** SQL Server Machine Learning Services
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- **Programming Language:** T-SQL, Python
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- **Authors:** Nellie Gustafsson
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- **Update history:** Getting started tutorial for SQL Server ML Services - Python
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<a name=before-you-begin></a>
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## Before you begin
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To run this sample, you need the following prerequisites: </br>
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Download a DB backup file and restore it using Setup.sql. [Download DB](https://deve2e.azureedge.net/sqlchoice/static/TutorialDB.bak)
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**Software prerequisites:**
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<!-- Examples -->
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1. SQL Server vNext CTP2.0 (or higher) with Machine Learning Services (Python) installed
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2. SQL Server Management Studio
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3. Python Tools for Visual Studio
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## Run this sample
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1. From SQL Server Management Studio or SQL Server Data Tools connect to your SQL Server vNext database and execute setup.sql to restore the sample DB you have downloaded </br>
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2. From SQL Server Management Studio or SQL Server Data Tools, open the Predictive Model Python.sql script </br>
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This script sets up: </br>
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Necessary tables </br>
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Creates stored procedure to train a model </br>
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Creates a stored procedure to predict using that model </br>
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Saves the predicted results to a DB table </br>
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3. You can also try the python script on its own. Just remember to point the Python environment to the corresponding path "C:\Program Files\Microsoft SQL Server\MSSQL14.MSSQLSERVER\PYTHON_SERVICES" if you run in-db Python Server, or
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"C:\Program Files\Microsoft SQL Server\140\PYTHON_SERVER" if you have the standalone Machine Learning Server installed.
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<a name=sample-details></a>
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## Sample details
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This sample shows how to create a predictive model with Python and generate predictions using the model and deploy that in SQL Server with SQL Server Machine Learning Services.
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### rental_prediction.py
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The Python script that generates a predictive model and uses it to predict rental counts
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### rental_prediction.sql
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Takes the Python code in Predictive Model.py and deploys it inside SQL Server. Creating stored procedures and tables for training, storing models and creating stored procedures for prediction.
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Service uses Tedious library for data access and built-in JSON functionalities that are available in SQL Server 2016 and Azure SQL Database.
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<a name=disclaimers></a>
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## Disclaimers
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The code included in this sample is not intended demonstrate some general guidance and architectural patterns for web development.
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It contains minimal code required to create a REST API.
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You can easily modify this code to fit the architecture of your application.
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<a name=related-links></a>
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## Related Links
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<!-- Links to more articles. Remember to delete "en-us" from the link path. -->
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For additional content, see these articles:
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[SQL Server R Services - Upgrade and Installation FAQ](https://msdn.microsoft.com/en-us/library/mt653951.aspx)
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[Other SQL Server R Services Tutorials](https://msdn.microsoft.com/en-us/library/mt591993.aspx)
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[Watch a presentation about predictive modeling in SQL Server, that also goes through this sample](https://www.youtube.com/watch?v=YCyj9cdi4Nk&feature=youtu.be)
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import pandas as pd
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from sklearn.linear_model import LinearRegression
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from sklearn.metrics import mean_squared_error
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from revoscalepy.computecontext.RxInSqlServer import RxInSqlServer
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from revoscalepy.computecontext.RxInSqlServer import RxSqlServerData
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from revoscalepy.etl.RxImport import rx_import_datasource
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def get_rental_predictions():
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conn_str = 'Driver=SQL Server;Server=MYSQLSERVER;Database=TutorialDB;Trusted_Connection=True;'
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column_info = {
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"Year" : { "type" : "integer" },
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"Month" : { "type" : "integer" },
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"Day" : { "type" : "integer" },
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"RentalCount" : { "type" : "integer" },
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"WeekDay" : {
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"type" : "factor",
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"levels" : ["1", "2", "3", "4", "5", "6", "7"]
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},
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"Holiday" : {
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"type" : "factor",
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"levels" : ["1", "0"]
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},
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"Snow" : {
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"type" : "factor",
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"levels" : ["1", "0"]
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}
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}
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data_source = RxSqlServerData(table="dbo.rental_data",
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connectionString=conn_str, colInfo=column_info)
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computeContext = RxInSqlServer(
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connectionString = conn_str,
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numTasks = 1,
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autoCleanup = False
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)
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RxInSqlServer(connectionString=conn_str, numTasks=1, autoCleanup=False)
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# import data source and convert to pandas dataframe
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df = pd.DataFrame(rx_import_datasource(data_source))
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print("Data frame:", df)
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# Get all the columns from the dataframe.
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columns = df.columns.tolist()
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# Filter the columns to remove ones we don't want.
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columns = [c for c in columns if c not in ["Year"]]
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# Store the variable we'll be predicting on.
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target = "RentalCount"
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# Generate the training set. Set random_state to be able to replicate results.
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train = df.sample(frac=0.8, random_state=1)
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# Select anything not in the training set and put it in the testing set.
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test = df.loc[~df.index.isin(train.index)]
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# Print the shapes of both sets.
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print("Training set shape:", train.shape)
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print("Testing set shape:", test.shape)
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# Initialize the model class.
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lin_model = LinearRegression()
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# Fit the model to the training data.
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lin_model.fit(train[columns], train[target])
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# Generate our predictions for the test set.
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lin_predictions = lin_model.predict(test[columns])
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print("Predictions:", lin_predictions)
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# Compute error between our test predictions and the actual values.
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lin_mse = mean_squared_error(lin_predictions, test[target])
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print("Computed error:", lin_mse)
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get_rental_predictions()
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USE TutorialDB;
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-- Table containing ski rental data
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SELECT * FROM [dbo].[rental_data];
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-------------------------- STEP 1 - Setup model table ----------------------------------------
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DROP TABLE IF EXISTS rental_py_models;
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GO
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CREATE TABLE rental_py_models (
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model_name VARCHAR(30) NOT NULL DEFAULT('default model') PRIMARY KEY,
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model VARBINARY(MAX) NOT NULL
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);
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GO
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-------------------------- STEP 2 - Train model ----------------------------------------
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-- Stored procedure that trains and generates an R model using the rental_data and a decision tree algorithm
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DROP PROCEDURE IF EXISTS generate_rental_py_model;
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go
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CREATE PROCEDURE generate_rental_py_model (@trained_model varbinary(max) OUTPUT)
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AS
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BEGIN
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EXECUTE sp_execute_external_script
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@language = N'Python'
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, @script = N'
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df = rental_train_data
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# Get all the columns from the dataframe.
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columns = df.columns.tolist()
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# Store the variable well be predicting on.
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target = "RentalCount"
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from sklearn.linear_model import LinearRegression
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# Initialize the model class.
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lin_model = LinearRegression()
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# Fit the model to the training data.
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lin_model.fit(df[columns], df[target])
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import pickle
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#Before saving the model to the DB table, we need to convert it to a binary object
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trained_model = pickle.dumps(lin_model)
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'
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, @input_data_1 = N'select "RentalCount", "Year", "Month", "Day", "WeekDay", "Snow", "Holiday" from dbo.rental_data where Year < 2015'
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, @input_data_1_name = N'rental_train_data'
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, @params = N'@trained_model varbinary(max) OUTPUT'
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, @trained_model = @trained_model OUTPUT;
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END;
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GO
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------------------- STEP 3 - Save model to table -------------------------------------
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TRUNCATE TABLE rental_py_models;
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DECLARE @model VARBINARY(MAX);
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EXEC generate_rental_py_model @model OUTPUT;
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INSERT INTO rental_py_models (model_name, model) VALUES('linear_model', @model);
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SELECT * FROM rental_py_models;
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------------------ STEP 4 - Use the model to predict number of rentals --------------------------
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DROP PROCEDURE IF EXISTS py_predict_rentalcount;
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GO
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CREATE PROCEDURE py_predict_rentalcount (@model varchar(100))
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AS
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BEGIN
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DECLARE @py_model varbinary(max) = (select model from rental_py_models where model_name = @model);
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EXEC sp_execute_external_script
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@language = N'Python'
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, @script = N'
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import pickle
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rental_model = pickle.loads(py_model)
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df = rental_score_data
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#print(df)
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# Get all the columns from the dataframe.
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columns = df.columns.tolist()
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# Filter the columns to remove ones we dont want.
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# columns = [c for c in columns if c not in ["Year"]]
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# Store the variable well be predicting on.
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target = "RentalCount"
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# Generate our predictions for the test set.
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lin_predictions = rental_model.predict(df[columns])
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print(lin_predictions)
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# Import the scikit-learn function to compute error.
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from sklearn.metrics import mean_squared_error
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# Compute error between our test predictions and the actual values.
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lin_mse = mean_squared_error(linpredictions, df[target])
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#print(lin_mse)
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import pandas as pd
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predictions_df = pd.DataFrame(lin_predictions)
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OutputDataSet = pd.concat([predictions_df, df["RentalCount"], df["Month"], df["Day"], df["WeekDay"], df["Snow"], df["Holiday"], df["Year"]], axis=1)
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'
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, @input_data_1 = N'Select "RentalCount", "Year" ,"Month", "Day", "WeekDay", "Snow", "Holiday" from rental_data where Year = 2015'
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, @input_data_1_name = N'rental_score_data'
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, @params = N'@py_model varbinary(max)'
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, @py_model = @py_model
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with result sets (("RentalCount_Predicted" float, "RentalCount" float, "Month" float,"Day" float,"WeekDay" float,"Snow" float,"Holiday" float, "Year" float));
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END;
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GO
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---------------- STEP 5 - Create DB table to store predictions -----------------------
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DROP TABLE IF EXISTS [dbo].[py_rental_predictions];
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GO
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--Create a table to store the predictions in
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CREATE TABLE [dbo].[py_rental_predictions](
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[RentalCount_Predicted] [int] NULL,
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[RentalCount_Actual] [int] NULL,
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[Month] [int] NULL,
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[Day] [int] NULL,
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[WeekDay] [int] NULL,
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[Snow] [int] NULL,
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[Holiday] [int] NULL,
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[Year] [int] NULL
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) ON [PRIMARY]
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GO
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---------------- STEP 6 - Save the predictions in a DB table -----------------------
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TRUNCATE TABLE py_rental_predictions;
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--Insert the results of the predictions for test set into a table
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INSERT INTO py_rental_predictions
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EXEC py_predict_rentalcount 'linear_model';
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-- Select contents of the table
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SELECT * FROM py_rental_predictions;
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@@ -1,12 +1,10 @@
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# Samples for SQL Server R Services
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# Samples for SQL Server Machine Learning Services
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Go to the getting started tutorials to learn more about:
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[Predictive Modeling with R Services](https://www.microsoft.com/en-us/sql-server/developer-get-started/rprediction)
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[Customer Clustering with R Services](https://www.microsoft.com/en-us/sql-server/developer-get-started/rclustering)
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[Telco Customer Churn](Telco Customer Churn)
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Telco Customer Churn sample using SQL Server R Services.
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@@ -0,0 +1,66 @@
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##################### STEP1 - Connect to DB and read data ####################
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#Connection string to connect to SQL Server named instance
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connStr <- paste("Driver=SQL Server; Server=", "MYSQLSERVER",
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";Database=", "Tutorialdb", ";Trusted_Connection=true;", sep = "");
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#Get the data from SQL Server Table
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SQL_rentaldata <- RxSqlServerData(table = "dbo.rental_data",
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connectionString = connStr, returnDataFrame = TRUE);
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#Import the data into a data frame
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rentaldata <- rxImport(SQL_rentaldata);
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#Let's see the structure of the data and the top rows
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# Ski rental data, giving the number of ski rentals on a given date
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head(rentaldata);
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##################### STEP2 - Clean and prepare the data ####################
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#Changing the three factor columns to factor types
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#This helps when building the model because we are explicitly saying that these values are categorical
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rentaldata$Holiday <- factor(rentaldata$Holiday);
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rentaldata$Snow <- factor(rentaldata$Snow);
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rentaldata$WeekDay <- factor(rentaldata$WeekDay);
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#Visualize the dataset after the change
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str(rentaldata);
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##################### STEP3 - train model ####################
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#Now let's split the dataset into 2 different sets
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#One set for training the model and the other for validating it
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train_data = rentaldata[rentaldata$Year < 2015,];
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test_data = rentaldata[rentaldata$Year == 2015,];
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#Use this column to check the quality of the prediction against actual values
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actual_counts <- test_data$RentalCount;
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|
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#Model 1: Use rxLinMod to create a linear regression model. We are training the data using the training data set
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model_linmod <- rxLinMod(RentalCount ~ Month + Day + WeekDay + Snow + Holiday, data = train_data);
|
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|
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#Model 2: Use rxDTree to create a decision tree model. We are training the data using the training data set
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model_dtree <- rxDTree(RentalCount ~ Month + Day + WeekDay + Snow + Holiday, data = train_data);
|
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#################### STEP4 - Predict using the models ########################
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#Use the models we just created to predict using the test data set.
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#That enables us to compare actual values of RentalCount from the two models and compare to the actual values in the test data set
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predict_linmod <- rxPredict(model_linmod, test_data, writeModelVars = TRUE, extraVarsToWrite = c("Year"));
|
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predict_dtree <- rxPredict(model_dtree, test_data, writeModelVars = TRUE, extraVarsToWrite = c("Year"));
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#Look at the top rows of the two prediction data sets.
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head(predict_linmod);
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head(predict_dtree);
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#################### STEP5 - Compare models ########################
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#Now we will use the plotting functionality in R to viusalize the results from the predictions
|
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#We are plotting the difference between actual and predicted values for both models to compare accuracy
|
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par(mfrow = c(2, 1));
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plot(predict_linmod$RentalCount_Pred - predict_linmod$RentalCount, main = "Difference between actual and predicted. rxLinmod");
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plot(predict_dtree$RentalCount_Pred - predict_dtree$RentalCount, main = "Difference between actual and predicted. rxDTree");
|
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|
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@@ -0,0 +1,181 @@
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|
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USE TutorialDB;
|
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|
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-- Table containing ski rental data
|
||||
SELECT * FROM [dbo].[rental_data];
|
||||
|
||||
|
||||
|
||||
-------------------------- STEP 1 - Setup model table ----------------------------------------
|
||||
DROP TABLE IF EXISTS rental_rx_models;
|
||||
GO
|
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CREATE TABLE rental_rx_models (
|
||||
model_name VARCHAR(30) NOT NULL DEFAULT('default model') PRIMARY KEY,
|
||||
model VARBINARY(MAX) NOT NULL
|
||||
);
|
||||
GO
|
||||
|
||||
|
||||
|
||||
|
||||
-------------------------- STEP 2 - Train model ----------------------------------------
|
||||
-- Stored procedure that trains and generates an R model using the rental_data and a decision tree algorithm
|
||||
DROP PROCEDURE IF EXISTS generate_rental_rx_model;
|
||||
go
|
||||
CREATE PROCEDURE generate_rental_rx_model (@trained_model varbinary(max) OUTPUT)
|
||||
AS
|
||||
BEGIN
|
||||
EXECUTE sp_execute_external_script
|
||||
@language = N'R'
|
||||
, @script = N'
|
||||
require("RevoScaleR");
|
||||
|
||||
rental_train_data$Holiday = factor(rental_train_data$Holiday);
|
||||
rental_train_data$Snow = factor(rental_train_data$Snow);
|
||||
rental_train_data$WeekDay = factor(rental_train_data$WeekDay);
|
||||
|
||||
#Create a dtree model and train it using the training data set
|
||||
model_dtree <- rxDTree(RentalCount ~ Month + Day + WeekDay + Snow + Holiday, data = rental_train_data);
|
||||
#Before saving the model to the DB table, we need to serialize it
|
||||
trained_model <- as.raw(serialize(model_dtree, connection=NULL));'
|
||||
|
||||
, @input_data_1 = N'select "RentalCount", "Year", "Month", "Day", "WeekDay", "Snow", "Holiday" from dbo.rental_data where Year < 2015'
|
||||
, @input_data_1_name = N'rental_train_data'
|
||||
, @params = N'@trained_model varbinary(max) OUTPUT'
|
||||
, @trained_model = @trained_model OUTPUT;
|
||||
END;
|
||||
GO
|
||||
|
||||
------------------- STEP 3 - Save model to table -------------------------------------
|
||||
TRUNCATE TABLE rental_rx_models;
|
||||
|
||||
DECLARE @model VARBINARY(MAX);
|
||||
EXEC generate_rental_rx_model @model OUTPUT;
|
||||
|
||||
INSERT INTO rental_rx_models (model_name, model) VALUES('rxDTree', @model);
|
||||
|
||||
SELECT * FROM rental_rx_models;
|
||||
|
||||
|
||||
|
||||
------------------ STEP 4 - Use the model to predict number of rentals --------------------------
|
||||
DROP PROCEDURE IF EXISTS predict_rentalcount;
|
||||
GO
|
||||
CREATE PROCEDURE predict_rentalcount (@model varchar(100))
|
||||
AS
|
||||
BEGIN
|
||||
DECLARE @rx_model varbinary(max) = (select model from rental_rx_models where model_name = @model);
|
||||
|
||||
EXEC sp_execute_external_script
|
||||
@language = N'R'
|
||||
, @script = N'
|
||||
require("RevoScaleR");
|
||||
|
||||
#Before using the model to predict, we need to unserialize it
|
||||
rental_model<-unserialize(rx_model);
|
||||
|
||||
rental_predictions <-rxPredict(rental_model, rental_score_data, writeModelVars = TRUE, extraVarsToWrite = c("Year"));
|
||||
|
||||
OutputDataSet <- cbind(rental_predictions[1],rental_predictions[2], rental_predictions[3], rental_predictions[4], rental_predictions[5], rental_predictions[6], rental_predictions[7], rental_predictions[8])
|
||||
'
|
||||
, @input_data_1 = N'Select "RentalCount", "Year" ,"Month", "Day", "WeekDay", "Snow", "Holiday" from rental_data where Year = 2015'
|
||||
, @input_data_1_name = N'rental_score_data'
|
||||
, @params = N'@rx_model varbinary(max)'
|
||||
, @rx_model = @rx_model
|
||||
with result sets (("RentalCount_Predicted" float, "RentalCount_Actual" float,"Month" float,"Day" float,"WeekDay" float,"Snow" float,"Holiday" float, "Year" float));
|
||||
|
||||
END;
|
||||
GO
|
||||
|
||||
---------------- STEP 5 - Create DB table to store predictions -----------------------
|
||||
DROP TABLE IF EXISTS [dbo].[rental_predictions];
|
||||
GO
|
||||
--Create a table to store the predictions in
|
||||
CREATE TABLE [dbo].[rental_predictions](
|
||||
[RentalCount_Predicted] [int] NULL,
|
||||
[RentalCount_Actual] [int] NULL,
|
||||
[Month] [int] NULL,
|
||||
[Day] [int] NULL,
|
||||
[WeekDay] [int] NULL,
|
||||
[Snow] [int] NULL,
|
||||
[Holiday] [int] NULL,
|
||||
[Year] [int] NULL
|
||||
) ON [PRIMARY]
|
||||
GO
|
||||
|
||||
|
||||
---------------- STEP 6 - Save the predictions in a DB table -----------------------
|
||||
TRUNCATE TABLE rental_predictions;
|
||||
--Insert the results of the predictions for test set into a table
|
||||
INSERT INTO rental_predictions
|
||||
EXEC predict_rentalcount 'rxDTree';
|
||||
|
||||
-- Select contents of the table
|
||||
SELECT * FROM rental_predictions;
|
||||
|
||||
------------- STEP 7 - Alternative to the previous stored procedure - Uses new data to predict future rental counts
|
||||
--Stored procedure that takes model name and new data as input parameters and predicts the rental count for the new data
|
||||
DROP PROCEDURE IF EXISTS predict_rentalcount_new;
|
||||
GO
|
||||
CREATE PROCEDURE predict_rentalcount_new (@model VARCHAR(100),@q NVARCHAR(MAX))
|
||||
AS
|
||||
BEGIN
|
||||
DECLARE @rx_model VARBINARY(MAX) = (SELECT model FROM rental_rx_models WHERE model_name = @model);
|
||||
EXECUTE sp_execute_external_script
|
||||
@language = N'R'
|
||||
, @script = N'
|
||||
require("RevoScaleR");
|
||||
|
||||
#The InputDataSet contains the new data passed to this stored proc. We will use this data to predict.
|
||||
rentals = InputDataSet;
|
||||
|
||||
#Convert types to factors
|
||||
rentals$Holiday = factor(rentals$Holiday);
|
||||
rentals$Snow = factor(rentals$Snow);
|
||||
rentals$WeekDay = factor(rentals$WeekDay);
|
||||
|
||||
#Before using the model to predict, we need to unserialize it
|
||||
rental_model = unserialize(rx_model);
|
||||
|
||||
#Call prediction function
|
||||
rental_predictions = rxPredict(rental_model, rentals);'
|
||||
, @input_data_1 = @q
|
||||
, @output_data_1_name = N'rental_predictions'
|
||||
, @params = N'@rx_model varbinary(max)'
|
||||
, @rx_model = @rx_model
|
||||
WITH RESULT SETS (("RentalCount_Predicted" FLOAT));
|
||||
|
||||
END;
|
||||
GO
|
||||
|
||||
--Execute the predict_rentals stored proc and pass the modelname and a query string with a set of features we want to use to predict the rental count
|
||||
EXEC dbo.predict_rentalcount_new @model = 'rxDTree',
|
||||
@q ='SELECT CONVERT(INT, 3) AS Month, CONVERT(INT, 24) AS Day, CONVERT(INT, 4) AS WeekDay, CONVERT(INT, 1) AS Snow, CONVERT(INT, 1) AS Holiday';
|
||||
GO
|
||||
|
||||
|
||||
-------------- STEP 8 - Getting predictions from an Application ----------------------------------
|
||||
-- Create stored procedure that returns predictions as JSON
|
||||
-- This stored procedure is going to be called from our application
|
||||
DROP PROCEDURE IF EXISTS get_rental_predictions;
|
||||
GO
|
||||
CREATE PROCEDURE get_rental_predictions (@year int)
|
||||
AS
|
||||
SELECT
|
||||
"Year",
|
||||
RentalCount_Predicted ,
|
||||
RentalCount_Actual ,
|
||||
"Month" ,
|
||||
"Day" ,
|
||||
"WeekDay" ,
|
||||
"Snow",
|
||||
"Holiday"
|
||||
FROM rental_predictions
|
||||
WHERE Year = @year
|
||||
FOR JSON PATH, root('data')
|
||||
|
||||
RETURN
|
||||
GO
|
||||
|
||||
-- Executing stored procedure with year = 2015
|
||||
EXEC get_rental_predictions 2015;
|
||||
@@ -0,0 +1,113 @@
|
||||
# Build a predictive model with SQL Server R Services
|
||||
|
||||
This sample shows how to create a predictive model in R and operationalize it with SQL Server 2016 or vNext.
|
||||
|
||||
### Contents
|
||||
|
||||
[About this sample](#about-this-sample)<br/>
|
||||
[Before you begin](#before-you-begin)<br/>
|
||||
[Sample details](#sample-details)<br/>
|
||||
[Related links](#related-links)<br/>
|
||||
|
||||
|
||||
<a name=about-this-sample></a>
|
||||
|
||||
## About this sample
|
||||
|
||||
Predictive modeling is a powerful way to add intelligence to your application. It enables applications to predict outcomes against new data.
|
||||
The act of incorporating predictive analytics into your applications involves two major phases:
|
||||
model training and model operationalization.
|
||||
|
||||
In this sample, you will learn how to create a predictive model in R and operationalize it with SQL Server 2016.
|
||||
|
||||
Follow the step by step tutorial [here](http://aka.ms/sqldev/R) to walk through this sample.
|
||||
|
||||
<!-- Delete the ones that don't apply -->
|
||||
- **Applies to:** SQL Server 2016 (or higher)
|
||||
- **Key features:** SQL Server R Services
|
||||
- **Workload:** SQL Server R Services
|
||||
- **Programming Language:** T-SQL, R, JavaScript (NodeJS)
|
||||
- **Authors:** Nellie Gustafsson
|
||||
- **Update history:** Getting started tutorial for R Services
|
||||
|
||||
<a name=before-you-begin></a>
|
||||
|
||||
## Before you begin
|
||||
|
||||
To run this sample, you need the following prerequisites.
|
||||
Section 1 in the [tutorial](http://aka.ms/sqldev/R) covers the prerequisites.
|
||||
After that, you can download a DB backup file and restore it using Setup.sql. [Download DB](https://deve2e.azureedge.net/sqlchoice/static/TutorialDB.bak)
|
||||
|
||||
**Software prerequisites:**
|
||||
|
||||
<!-- Examples -->
|
||||
1. SQL Server 2016 (or higher) with R Services installed
|
||||
2. SQL Server Management Studio
|
||||
3. R IDE Tool like Visual Studio RTVS
|
||||
|
||||
## Run this sample app
|
||||
1. From SQL Server Management Studio or SQL Server Data Tools connect to your SQL Server 2016 or vNext SQL database and execute setup.sql to restore the sample DB
|
||||
2. From SQL Server Management Studio or SQL Server Data Tools, execute Predictive Model.sql script to set up tables, train model, predict using that model etc.
|
||||
This is all covered step by step in the [tutorial](http://aka.ms/sqldev/R)
|
||||
|
||||
3. Navigate to the folder where you have downloaded sample and run **npm install** in command window, or run setup.bat if you are on Windows operating system. This command will install necessary npm packages defined in project.json.
|
||||
|
||||
4. Locate db.js file in the project, change database connection info in createConnection() method to reference your database. the following tokens should be replaced:
|
||||
1. SERVERNAME - name of the database server.
|
||||
2. DATABASE - Name of database where Todo table is stored.
|
||||
3. USERNAME - SQL Server login that can access table data and execute stored procedures.
|
||||
4. PASSWORD - Password associated to SQL Server login.
|
||||
|
||||
```
|
||||
var config = {
|
||||
server : "SERVER.database.windows.net",
|
||||
userName: "USER",
|
||||
password: "PASSWORD",
|
||||
// If you have a named instance, you can put the instance name here:
|
||||
options: { encrypt: true, database: 'DATABASE' }
|
||||
};
|
||||
```
|
||||
|
||||
5. Run sample app by opening a command window, navigate to the location where here you have downloaded sample and run **node bin\www**
|
||||
6. Go to a browser and navigate to the following [link] (http://localhost:3000/client.html). You should now see an HTML table containing the predictions generated using R in SQL Server.
|
||||
|
||||
<a name=sample-details></a>
|
||||
|
||||
## Sample details
|
||||
|
||||
This sample application shows how to create a predictive model and generate predictions using the model. It also shows how to build a simple REST API service tthat gets data from the DB.
|
||||
NodeJS REST API is used to implement REST Service in the example.
|
||||
|
||||
### Predictive Model.R
|
||||
The R script that generates a predictive model and uses it to predict rental counts
|
||||
|
||||
### Predictive Model.SQL
|
||||
Takes the R code in PredictiveModel.R and deploys it inside SQL Server. Creating stored procedures and tables for training, storing models and creating stored procedures for prediction.
|
||||
|
||||
### app.js
|
||||
File that contains startup code.
|
||||
### db.js
|
||||
File that contains functions that wrap Tedious library
|
||||
### predictions.js
|
||||
File that contains action that will be called to get the predictions
|
||||
|
||||
Service uses Tedious library for data access and built-in JSON functionalities that are available in SQL Server 2016 and Azure SQL Database.
|
||||
|
||||
<a name=disclaimers></a>
|
||||
|
||||
## Disclaimers
|
||||
The code included in this sample is not intended demonstrate some general guidance and architectural patterns for web development.
|
||||
It contains minimal code required to create a REST API.
|
||||
You can easily modify this code to fit the architecture of your application.
|
||||
|
||||
|
||||
<a name=related-links></a>
|
||||
|
||||
## Related Links
|
||||
<!-- Links to more articles. Remember to delete "en-us" from the link path. -->
|
||||
|
||||
For additional content, see these articles:
|
||||
|
||||
[SQL Server R Services - Upgrade and Installation FAQ](https://msdn.microsoft.com/en-us/library/mt653951.aspx) <br/>
|
||||
[Other SQL Server R Services Tutorials](https://msdn.microsoft.com/en-us/library/mt591993.aspx) <br/>
|
||||
[Watch a presentation about predictive modeling in SQL Server, that also goes through this sample](https://www.youtube.com/watch?v=YCyj9cdi4Nk&feature=youtu.be) <br/>
|
||||
@@ -0,0 +1,13 @@
|
||||
-- Before we start, we need to restore the DB for this tutorial.
|
||||
-- Step1: Download the compressed backup file (https://deve2e.azureedge.net/sqlchoice/static/TutorialDB.bak)
|
||||
--Save the file on a location where SQL Server can access it. For example: C:\Program Files\Microsoft SQL Server\MSSQL13.MSSQLSERVER\MSSQL\Backup\
|
||||
-- In a new query window in SSMS, execute the following restore statement, but REMEMBER TO CHANGE THE FILE PATHS
|
||||
-- to match the directories of your installation!
|
||||
USE master;
|
||||
GO
|
||||
RESTORE DATABASE TutorialDB
|
||||
FROM DISK = 'C:\Program Files\Microsoft SQL Server\MSSQL13.MSSQLSERVER\MSSQL\Backup\TutorialDB.bak'
|
||||
WITH
|
||||
MOVE 'TutorialDB' TO 'C:\Program Files\Microsoft SQL Server\MSSQL13.MSSQLSERVER\MSSQL\DATA\TutorialDB.mdf'
|
||||
,MOVE 'TutorialDB_log' TO 'C:\Program Files\Microsoft SQL Server\MSSQL13.MSSQLSERVER\MSSQL\DATA\TutorialDB.ldf';
|
||||
GO
|
||||
+5
@@ -0,0 +1,5 @@
|
||||
node_modules/*
|
||||
bin/*.dll
|
||||
obj/*
|
||||
*.sln
|
||||
*.log
|
||||
+21
@@ -0,0 +1,21 @@
|
||||
{
|
||||
// Use IntelliSense to learn about possible Node.js debug attributes.
|
||||
// Hover to view descriptions of existing attributes.
|
||||
// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
|
||||
"version": "0.2.0",
|
||||
"configurations": [
|
||||
{
|
||||
"type": "node",
|
||||
"request": "launch",
|
||||
"name": "Launch Program",
|
||||
"program": "${workspaceRoot}\\bin\\www.js",
|
||||
"cwd": "${workspaceRoot}"
|
||||
},
|
||||
{
|
||||
"type": "node",
|
||||
"request": "attach",
|
||||
"name": "Attach to Process",
|
||||
"port": 5858
|
||||
}
|
||||
]
|
||||
}
|
||||
+18
@@ -0,0 +1,18 @@
|
||||
var express = require('express');
|
||||
var bodyParser = require('body-parser');
|
||||
|
||||
var app = express();
|
||||
app.use(bodyParser.text());
|
||||
//app.use('/todo', require('./routes/todo'));
|
||||
app.use('/predictions', require('./routes/predictions'));
|
||||
|
||||
app.use(express.static('wwwroot'))
|
||||
|
||||
// catch 404 and forward to error handler
|
||||
app.use(function (req, res, next) {
|
||||
var err = new Error('Not Found');
|
||||
err.status = 404;
|
||||
next(err);
|
||||
});
|
||||
|
||||
module.exports = app;
|
||||
+9
@@ -0,0 +1,9 @@
|
||||
#!/usr/bin/env node
|
||||
var debug = require('debug')('nodejs_express4_rest_api');
|
||||
var app = require('../app');
|
||||
|
||||
app.set('port', process.env.PORT || 3000);
|
||||
|
||||
var server = app.listen(app.get('port'), function() {
|
||||
debug('Express server listening on port ' + server.address().port);
|
||||
});
|
||||
+69
@@ -0,0 +1,69 @@
|
||||
function createConnection() {
|
||||
|
||||
var config = {
|
||||
server : "MYSERVER",
|
||||
userName: "sa",
|
||||
password: "PASSWORD",
|
||||
// If you have a named instance, you need to put the name here:
|
||||
options: { instanceName: 'MyNamedInstance', database: 'TutorialDB' }
|
||||
};
|
||||
|
||||
var Connection = require('tedious').Connection;
|
||||
var connection = new Connection(config);
|
||||
|
||||
return connection;
|
||||
}
|
||||
|
||||
function createRequest(query, connection) {
|
||||
var Request = require('tedious').Request;
|
||||
var req =
|
||||
new Request(query,
|
||||
function (err, rowCount) {
|
||||
if (err) {
|
||||
throw err;
|
||||
}
|
||||
connection && connection.close();
|
||||
});
|
||||
|
||||
return req;
|
||||
}
|
||||
|
||||
function stream (query, connection, output, defaultContent) {
|
||||
|
||||
errorHandler = function (ex) { throw ex; };
|
||||
var request = query;
|
||||
if (typeof query == "string") {
|
||||
request = this.createRequest(query, connection);
|
||||
}
|
||||
|
||||
var empty = true;
|
||||
request.on('row', function (columns) {
|
||||
empty = false;
|
||||
output.write(columns[0].value);
|
||||
});
|
||||
|
||||
request.on('done', function (rowCount, more, rows) {
|
||||
if (empty) {
|
||||
output.write(defaultContent);
|
||||
}
|
||||
output.end();
|
||||
});
|
||||
|
||||
request.on('doneProc', function (rowCount, more, rows) {
|
||||
if (empty) {
|
||||
output.write(defaultContent);
|
||||
}
|
||||
output.end();
|
||||
});
|
||||
|
||||
connection.on('connect', function (err) {
|
||||
if (err) {
|
||||
throw err;
|
||||
}
|
||||
connection.execSql(request);
|
||||
});
|
||||
}
|
||||
|
||||
module.exports.createConnection = createConnection;
|
||||
module.exports.createRequest = createRequest;
|
||||
module.exports.stream = stream;
|
||||
+88
@@ -0,0 +1,88 @@
|
||||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<Project DefaultTargets="Build" xmlns="http://schemas.microsoft.com/developer/msbuild/2003" ToolsVersion="4.0">
|
||||
<PropertyGroup>
|
||||
<VisualStudioVersion Condition="'$(VisualStudioVersion)' == ''">11.0</VisualStudioVersion>
|
||||
<VSToolsPath Condition="'$(VSToolsPath)' == ''">$(MSBuildExtensionsPath32)\Microsoft\VisualStudio\v$(VisualStudioVersion)</VSToolsPath>
|
||||
<Name>nodejs-express4-rest-api</Name>
|
||||
<RootNamespace>nodejs-express4-rest-api</RootNamespace>
|
||||
<LaunchUrl>todo</LaunchUrl>
|
||||
</PropertyGroup>
|
||||
<Import Project="$(MSBuildExtensionsPath)\$(MSBuildToolsVersion)\Microsoft.Common.props" Condition="Exists('$(MSBuildExtensionsPath)\$(MSBuildToolsVersion)\Microsoft.Common.props')" />
|
||||
<PropertyGroup>
|
||||
<Configuration Condition=" '$(Configuration)' == '' ">Debug</Configuration>
|
||||
<SchemaVersion>2.0</SchemaVersion>
|
||||
<ProjectGuid>da18f211-dee4-4b4a-8954-4c7505dc769b</ProjectGuid>
|
||||
<ProjectHome>.</ProjectHome>
|
||||
<StartupFile>bin\www</StartupFile>
|
||||
<SearchPath>
|
||||
</SearchPath>
|
||||
<WorkingDirectory>.</WorkingDirectory>
|
||||
<OutputPath>.</OutputPath>
|
||||
<TargetFrameworkVersion>v4.0</TargetFrameworkVersion>
|
||||
<ProjectTypeGuids>{3AF33F2E-1136-4D97-BBB7-1795711AC8B8};{349c5851-65df-11da-9384-00065b846f21};{9092AA53-FB77-4645-B42D-1CCCA6BD08BD}</ProjectTypeGuids>
|
||||
<ProjectView>ShowAllFiles</ProjectView>
|
||||
<NodejsPort>1337</NodejsPort>
|
||||
<StartWebBrowser>True</StartWebBrowser>
|
||||
</PropertyGroup>
|
||||
<PropertyGroup Condition=" '$(Configuration)' == 'Debug' ">
|
||||
<DebugSymbols>true</DebugSymbols>
|
||||
</PropertyGroup>
|
||||
<PropertyGroup Condition=" '$(Configuration)' == 'Release' ">
|
||||
<DebugSymbols>true</DebugSymbols>
|
||||
</PropertyGroup>
|
||||
<ItemGroup>
|
||||
<Compile Include="app.js" />
|
||||
<Compile Include="db.js" />
|
||||
<Compile Include="routes\todo.js" />
|
||||
<Compile Include="bin\www" />
|
||||
<Content Include="package.json" />
|
||||
<Content Include="README.md" />
|
||||
</ItemGroup>
|
||||
<ItemGroup>
|
||||
<Folder Include="bin\" />
|
||||
<Folder Include="util\" />
|
||||
<Folder Include="public\" />
|
||||
<Folder Include="routes\" />
|
||||
</ItemGroup>
|
||||
<!-- Do not delete the following Import Project. While this appears to do nothing it is a marker for setting TypeScript properties before our import that depends on them. -->
|
||||
<Import Project="$(MSBuildExtensionsPath32)\Microsoft\VisualStudio\v$(VisualStudioVersion)\TypeScript\Microsoft.TypeScript.targets" Condition="False" />
|
||||
<Import Project="$(VSToolsPath)\Node.js Tools\Microsoft.NodejsTools.targets" />
|
||||
<ProjectExtensions>
|
||||
<VisualStudio>
|
||||
<FlavorProperties GUID="{349c5851-65df-11da-9384-00065b846f21}">
|
||||
<WebProjectProperties>
|
||||
<UseIIS>False</UseIIS>
|
||||
<AutoAssignPort>True</AutoAssignPort>
|
||||
<DevelopmentServerPort>0</DevelopmentServerPort>
|
||||
<DevelopmentServerVPath>/</DevelopmentServerVPath>
|
||||
<IISUrl>http://localhost:48022/</IISUrl>
|
||||
<NTLMAuthentication>False</NTLMAuthentication>
|
||||
<UseCustomServer>True</UseCustomServer>
|
||||
<CustomServerUrl>http://localhost:1337</CustomServerUrl>
|
||||
<SaveServerSettingsInUserFile>False</SaveServerSettingsInUserFile>
|
||||
</WebProjectProperties>
|
||||
</FlavorProperties>
|
||||
<FlavorProperties GUID="{349c5851-65df-11da-9384-00065b846f21}" User="">
|
||||
<WebProjectProperties>
|
||||
<StartPageUrl>
|
||||
</StartPageUrl>
|
||||
<StartAction>CurrentPage</StartAction>
|
||||
<AspNetDebugging>True</AspNetDebugging>
|
||||
<SilverlightDebugging>False</SilverlightDebugging>
|
||||
<NativeDebugging>False</NativeDebugging>
|
||||
<SQLDebugging>False</SQLDebugging>
|
||||
<ExternalProgram>
|
||||
</ExternalProgram>
|
||||
<StartExternalURL>
|
||||
</StartExternalURL>
|
||||
<StartCmdLineArguments>
|
||||
</StartCmdLineArguments>
|
||||
<StartWorkingDirectory>
|
||||
</StartWorkingDirectory>
|
||||
<EnableENC>False</EnableENC>
|
||||
<AlwaysStartWebServerOnDebug>False</AlwaysStartWebServerOnDebug>
|
||||
</WebProjectProperties>
|
||||
</FlavorProperties>
|
||||
</VisualStudio>
|
||||
</ProjectExtensions>
|
||||
</Project>
|
||||
+19
@@ -0,0 +1,19 @@
|
||||
{
|
||||
"name": "nodejs-express4-rest-api",
|
||||
"version": "0.0.0",
|
||||
"private": true,
|
||||
"scripts": {
|
||||
"start": "node ./bin/www"
|
||||
},
|
||||
"description": "nodejs-express4-rest-api",
|
||||
"author": {
|
||||
"name": "Jovan Popovic",
|
||||
"email": "jovanpop@microsoft.com"
|
||||
},
|
||||
"dependencies": {
|
||||
"body-parser": "^1.15.2",
|
||||
"debug": "^2.2.0",
|
||||
"express": "^4.14.0",
|
||||
"tedious": "^1.14.0"
|
||||
}
|
||||
}
|
||||
+25
@@ -0,0 +1,25 @@
|
||||
var express = require('express');
|
||||
var router = express.Router();
|
||||
|
||||
var db = require('../db.js');
|
||||
var TYPES = require('tedious').TYPES;
|
||||
|
||||
|
||||
|
||||
|
||||
/* GET list of all predictions for a given year */
|
||||
router.get('/', function (req, res) {
|
||||
|
||||
//Call stored proc and get predictions
|
||||
|
||||
var conn = db.createConnection();
|
||||
|
||||
var request = db.createRequest("EXEC get_rental_predictions 2015", conn);
|
||||
|
||||
db.stream(request, conn, res, '[]');
|
||||
|
||||
});
|
||||
|
||||
|
||||
|
||||
module.exports = router;
|
||||
+65
@@ -0,0 +1,65 @@
|
||||
<!DOCTYPE html>
|
||||
<html>
|
||||
<head>
|
||||
<title>Rental Predictions</title>
|
||||
|
||||
<meta http-equiv="content-type" content="text/html; charset=utf-8" />
|
||||
<link rel="shortcut icon" type="image/ico" href="media/images/favicon.ico">
|
||||
<meta name="viewport" content="initial-scale=1.0, maximum-scale=2.0">
|
||||
|
||||
<link href="media/css/Bootstrap.css" rel="stylesheet" />
|
||||
<link href="media/css/dataTables.bootstrap.css" rel="stylesheet" />
|
||||
<link href="media/css/demo.css" rel="stylesheet" />
|
||||
|
||||
<script src="media/js/lib/jquery.js"></script>
|
||||
<script src="media/js/lib/Bootstrap.js"></script>
|
||||
<script src="media/js/lib/jquery.dataTables.js"></script>
|
||||
<script src="media/js/lib/jquery.dataTables.Bootstrap.js"></script>
|
||||
<script src="media/js/lib/jquery.dataTables.incremental_pagination.js"></script>
|
||||
|
||||
<script type="text/javascript" class="init">
|
||||
|
||||
$(document).ready(function() {
|
||||
|
||||
|
||||
|
||||
var table = $('#example').DataTable(
|
||||
{
|
||||
|
||||
"ajax": "/predictions/",
|
||||
"columns": [
|
||||
{ "data": "Year", "width": "10%" },
|
||||
{ "data": "RentalCount_Predicted", "width": "10%" },
|
||||
{ "data": "RentalCount_Actual", "width": "10%" },
|
||||
{ "data": "Month", "width": "10%" },
|
||||
{ "data": "Day", "width": "10%" },
|
||||
{ "data": "WeekDay", "width": "10%" },
|
||||
{ "data": "Snow", "width": "10%" },
|
||||
{ "data": "Holiday", "width": "10%" }
|
||||
]
|
||||
|
||||
|
||||
});
|
||||
|
||||
|
||||
|
||||
} );
|
||||
|
||||
|
||||
</script>
|
||||
</head>
|
||||
<body>
|
||||
|
||||
|
||||
<div class="container">
|
||||
<table id="example" class="table table-striped table-bordered" cellspacing="0" width="100%">
|
||||
<!--table id="example" class="display dataTable" width="60%"-->
|
||||
<thead><th>Year</th><th>RentalCount_Predicted</th><th>RentalCount_Actual</th><th>Month</th>><th>Day</th><th>WeekDay</th><th>FSnow</th><th>FHoliday</th></thead>
|
||||
<tbody>
|
||||
</tbody>
|
||||
|
||||
</table>
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
|
||||
BIN
Binary file not shown.
|
After Width: | Height: | Size: 1.1 KiB |
BIN
Binary file not shown.
+288
@@ -0,0 +1,288 @@
|
||||
<?xml version="1.0" standalone="no"?>
|
||||
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd" >
|
||||
<svg xmlns="http://www.w3.org/2000/svg">
|
||||
<metadata></metadata>
|
||||
<defs>
|
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<font id="glyphicons_halflingsregular" horiz-adv-x="1200" >
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table.dataTable{clear:both;margin-top:6px !important;margin-bottom:6px !important;max-width:none !important}table.dataTable td,table.dataTable th{-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box}table.dataTable.nowrap th,table.dataTable.nowrap td{white-space:nowrap}div.dataTables_wrapper div.dataTables_length label{font-weight:normal;text-align:left;white-space:nowrap}div.dataTables_wrapper div.dataTables_length select{width:75px;display:inline-block}div.dataTables_wrapper div.dataTables_filter{text-align:right}div.dataTables_wrapper div.dataTables_filter label{font-weight:normal;white-space:nowrap;text-align:left}div.dataTables_wrapper div.dataTables_filter input{margin-left:0.5em;display:inline-block;width:auto}div.dataTables_wrapper div.dataTables_info{padding-top:8px;white-space:nowrap}div.dataTables_wrapper div.dataTables_paginate{margin:0;white-space:nowrap;text-align:right}div.dataTables_wrapper div.dataTables_paginate ul.pagination{margin:2px 0;white-space:nowrap}table.dataTable thead>tr>th,table.dataTable thead>tr>td{padding-right:30px}table.dataTable thead>tr>th:active,table.dataTable thead>tr>td:active{outline:none}table.dataTable thead .sorting,table.dataTable thead .sorting_asc,table.dataTable thead .sorting_desc,table.dataTable thead .sorting_asc_disabled,table.dataTable thead .sorting_desc_disabled{cursor:pointer;position:relative}table.dataTable thead .sorting:after,table.dataTable thead .sorting_asc:after,table.dataTable thead .sorting_desc:after,table.dataTable thead .sorting_asc_disabled:after,table.dataTable thead .sorting_desc_disabled:after{position:absolute;bottom:8px;right:8px;display:block;font-family:'Glyphicons Halflings';opacity:0.5}table.dataTable thead .sorting:after{opacity:0.2;content:"\e150"}table.dataTable thead .sorting_asc:after{content:"\e155"}table.dataTable thead .sorting_desc:after{content:"\e156"}table.dataTable thead .sorting_asc_disabled:after,table.dataTable thead .sorting_desc_disabled:after{color:#eee}div.dataTables_scrollHead table.dataTable{margin-bottom:0 !important}div.dataTables_scrollBody table{border-top:none;margin-top:0 !important;margin-bottom:0 !important}div.dataTables_scrollBody table thead .sorting:after,div.dataTables_scrollBody table thead .sorting_asc:after,div.dataTables_scrollBody table thead .sorting_desc:after{display:none}div.dataTables_scrollBody table tbody tr:first-child th,div.dataTables_scrollBody table tbody tr:first-child td{border-top:none}div.dataTables_scrollFoot table{margin-top:0 !important;border-top:none}@media screen and (max-width: 767px){div.dataTables_wrapper div.dataTables_length,div.dataTables_wrapper div.dataTables_filter,div.dataTables_wrapper div.dataTables_info,div.dataTables_wrapper div.dataTables_paginate{text-align:center}}table.dataTable.table-condensed>thead>tr>th{padding-right:20px}table.dataTable.table-condensed .sorting:after,table.dataTable.table-condensed .sorting_asc:after,table.dataTable.table-condensed .sorting_desc:after{top:6px;right:6px}table.table-bordered.dataTable{border-collapse:separate !important}table.table-bordered.dataTable th,table.table-bordered.dataTable td{border-left-width:0}table.table-bordered.dataTable th:last-child,table.table-bordered.dataTable th:last-child,table.table-bordered.dataTable td:last-child,table.table-bordered.dataTable td:last-child{border-right-width:0}table.table-bordered.dataTable tbody th,table.table-bordered.dataTable tbody td{border-bottom-width:0}div.dataTables_scrollHead table.table-bordered{border-bottom-width:0}
|
||||
+49
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|
||||
|
||||
@import url(http://fonts.googleapis.com/css?family=Raleway:100);
|
||||
|
||||
body {
|
||||
font: 90%/1.45em;
|
||||
font-family: "Segoe UI", Frutiger, "Frutiger Linotype", "Dejavu Sans", "Helvetica Neue", Arial, sans-serif;
|
||||
margin: 0;
|
||||
padding-top: 20px;
|
||||
padding: 0;
|
||||
color: #333;
|
||||
background-color: #fff;
|
||||
}
|
||||
|
||||
body.dt-example-bootstrap {
|
||||
font-family: "Segoe UI", Frutiger, "Frutiger Linotype", "Dejavu Sans", "Helvetica Neue", Arial, sans-serif;
|
||||
font-size: 14px;
|
||||
line-height: 1.42857143;
|
||||
}
|
||||
|
||||
|
||||
h1 {
|
||||
font-family: "Segoe UI", Frutiger, "Frutiger Linotype", "Dejavu Sans", "Helvetica Neue", Arial, sans-serif;
|
||||
font-weight: 100;
|
||||
letter-spacing: 1px;
|
||||
font-size: 3em;
|
||||
line-height: 1em;
|
||||
margin-top: 10px;
|
||||
margin-bottom: 20px;
|
||||
}
|
||||
|
||||
h1 span {
|
||||
font-size: 0.5em;
|
||||
line-height: 1em;
|
||||
}
|
||||
|
||||
div.container {
|
||||
max-width: 980px;
|
||||
margin: 0 auto;
|
||||
}
|
||||
|
||||
tbody tr {
|
||||
font-family:IPAmj明朝;
|
||||
font-size:12pt;
|
||||
}
|
||||
|
||||
tfoot tr input {
|
||||
font-family:IPAmj明朝;
|
||||
width:140px;
|
||||
}
|
||||
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|
||||
/*!
|
||||
DataTables Bootstrap 3 integration
|
||||
©2011-2014 SpryMedia Ltd - datatables.net/license
|
||||
*/
|
||||
(function (l, q) {
|
||||
var d = function (b, c) {
|
||||
b.extend(!0, c.defaults, { dom: "<'row'<'col-sm-6'l><'col-sm-6'f>><'row'<'col-sm-12'tr>><'row'<'col-sm-5'i><'col-sm-7'p>>", renderer: "bootstrap" }); b.extend(c.ext.classes, { sWrapper: "dataTables_wrapper form-inline dt-bootstrap", sFilterInput: "form-control input-sm", sLengthSelect: "form-control input-sm" }); c.ext.renderer.pageButton.bootstrap = function (g, d, r, s, i, m) {
|
||||
var t = new c.Api(g), u = g.oClasses, j = g.oLanguage.oPaginate, e, f, n = 0, p = function (c, d) {
|
||||
var k, h, o, a, l = function (a) {
|
||||
a.preventDefault();
|
||||
b(a.currentTarget).hasClass("disabled") || t.page(a.data.action).draw("page")
|
||||
}; k = 0; for (h = d.length; k < h; k++) if (a = d[k], b.isArray(a)) p(c, a); else {
|
||||
f = e = ""; switch (a) { case "ellipsis": e = "…"; f = "disabled"; break; case "first": e = j.sFirst; f = a + (0 < i ? "" : " disabled"); break; case "previous": e = j.sPrevious; f = a + (0 < i ? "" : " disabled"); break; case "next": e = j.sNext; f = a + (i < m - 1 ? "" : " disabled"); break; case "last": e = j.sLast; f = a + (i < m - 1 ? "" : " disabled"); break; default: e = a + 1, f = i === a ? "active" : "" } e && (o = b("<li>", {
|
||||
"class": u.sPageButton +
|
||||
" " + f, id: 0 === r && "string" === typeof a ? g.sTableId + "_" + a : null
|
||||
}).append(b("<a>", { href: "#", "aria-controls": g.sTableId, "data-dt-idx": n, tabindex: g.iTabIndex }).html(e)).appendTo(c), g.oApi._fnBindAction(o, { action: a }, l), n++)
|
||||
}
|
||||
}, h; try { h = b(d).find(q.activeElement).data("dt-idx") } catch (l) { } p(b(d).empty().html('<ul class="pagination"/>').children("ul"), s); h && b(d).find("[data-dt-idx=" + h + "]").focus()
|
||||
}; c.TableTools && (b.extend(!0, c.TableTools.classes, {
|
||||
container: "DTTT btn-group", buttons: { normal: "btn btn-default", disabled: "disabled" },
|
||||
collection: { container: "DTTT_dropdown dropdown-menu", buttons: { normal: "", disabled: "disabled" } }, print: { info: "DTTT_print_info" }, select: { row: "active" }
|
||||
}), b.extend(!0, c.TableTools.DEFAULTS.oTags, { collection: { container: "ul", button: "li", liner: "a" } }))
|
||||
}; "function" === typeof define && define.amd ? define(["jquery", "datatables"], d) : "object" === typeof exports ? d(require("jquery"), require("datatables")) : jQuery && d(jQuery, jQuery.fn.dataTable)
|
||||
})(window, document);
|
||||
|
||||
|
||||
jQuery.fn.dataTable.ext.builder = "bs-3.3.5\/jqc-1.11.3,dt-1.10.8";
|
||||
+110
@@ -0,0 +1,110 @@
|
||||
$.fn.dataTableExt.oPagination.incremental = {
|
||||
/*
|
||||
* Function: oPagination.incremental.fnInit
|
||||
* Purpose: Initalise dom elements required for pagination with a list of the pages
|
||||
* Returns: -
|
||||
* Inputs: object:oSettings - dataTables settings object
|
||||
* node:nPaging - the DIV which contains this pagination control
|
||||
* function:fnCallbackDraw - draw function which must be called on update
|
||||
*/
|
||||
"fnInit": function (oSettings, nPaging, fnCallbackDraw) {
|
||||
$(nPaging).prepend($("<ul class=\"pagination\"></ul>"));
|
||||
var ul = $("ul", $(nPaging));
|
||||
nFirst = document.createElement('li');
|
||||
nPrevious = document.createElement('li');
|
||||
nNext = document.createElement('li');
|
||||
|
||||
$(nPrevious).append($('<span>' + (oSettings.oLanguage.oPaginate.sPrevious) + '</span>'));
|
||||
$(nFirst).append($('<span>1</span>'));
|
||||
$(nNext).append($('<span>' + (oSettings.oLanguage.oPaginate.sNext) + '</span>'));
|
||||
|
||||
nFirst.className = "paginate_button first active";
|
||||
nPrevious.className = "paginate_button previous";
|
||||
nNext.className = "paginate_button next";
|
||||
|
||||
|
||||
ul.append(nPrevious);
|
||||
ul.append(nFirst);
|
||||
ul.append(nNext);
|
||||
|
||||
$(nFirst).click(function () {
|
||||
oSettings.oApi._fnPageChange(oSettings, "first");
|
||||
fnCallbackDraw(oSettings);
|
||||
});
|
||||
|
||||
$(nPrevious).click(function () {
|
||||
if (!(oSettings._iDisplayStart === 0)) {
|
||||
oSettings.oApi._fnPageChange(oSettings, "previous");
|
||||
fnCallbackDraw(oSettings);
|
||||
}
|
||||
});
|
||||
|
||||
$(nNext).click(function () {
|
||||
if (!(oSettings.fnDisplayEnd() == oSettings.fnRecordsDisplay()
|
||||
||
|
||||
oSettings.aiDisplay.length < oSettings._iDisplayLength)) {
|
||||
oSettings.oApi._fnPageChange(oSettings, "next");
|
||||
fnCallbackDraw(oSettings);
|
||||
}
|
||||
});
|
||||
|
||||
/* Disallow text selection */
|
||||
$(nFirst).bind('selectstart', function () { return false; });
|
||||
$(nPrevious).bind('selectstart', function () { return false; });
|
||||
$(nNext).bind('selectstart', function () { return false; });
|
||||
|
||||
// Reset dynamically generated pages on length/filter change.
|
||||
$(oSettings.nTable).DataTable().on('length.dt', function (e, settings, len) {
|
||||
$("li.dynamic_page_item", nPaging).remove();
|
||||
});
|
||||
|
||||
$(oSettings.nTable).DataTable().on('search.dt', function (e, settings, len) {
|
||||
$("li.dynamic_page_item", nPaging).remove();
|
||||
});
|
||||
},
|
||||
|
||||
/*
|
||||
* Function: oPagination.incremental.fnUpdate
|
||||
* Purpose: Update the list of page buttons shows
|
||||
* Returns: -
|
||||
* Inputs: object:oSettings - dataTables settings object
|
||||
* function:fnCallbackDraw - draw function which must be called on update
|
||||
*/
|
||||
"fnUpdate": function (oSettings, fnCallbackDraw) {
|
||||
if (!oSettings.aanFeatures.p) {
|
||||
return;
|
||||
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|
||||
|
||||
/* Loop over each instance of the pager */
|
||||
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|
||||
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|
||||
var buttons = an[i].getElementsByTagName('li');
|
||||
$(buttons).removeClass("active");
|
||||
|
||||
if (oSettings._iDisplayStart === 0) {
|
||||
buttons[0].className = "paginate_buttons disabled previous";
|
||||
buttons[buttons.length - 1].className = "paginate_button enabled next";
|
||||
} else {
|
||||
buttons[0].className = "paginate_buttons enabled previous";
|
||||
}
|
||||
|
||||
var page = Math.round(oSettings._iDisplayStart / oSettings._iDisplayLength) + 1;
|
||||
if (page == buttons.length-1 && oSettings.aiDisplay.length > 0) {
|
||||
$new = $('<li class="dynamic_page_item active"><span>' + page + "</span></li>");
|
||||
$(buttons[buttons.length - 1]).before($new);
|
||||
$new.click(function () {
|
||||
$(oSettings.nTable).DataTable().page(page-1);
|
||||
|
||||
fnCallbackDraw(oSettings);
|
||||
});
|
||||
} else
|
||||
$(buttons[page]).addClass("active");
|
||||
|
||||
if (oSettings.fnDisplayEnd() == oSettings.fnRecordsDisplay()
|
||||
||
|
||||
oSettings.aiDisplay.length < oSettings._iDisplayLength) {
|
||||
buttons[buttons.length - 1].className = "paginate_button disabled next";
|
||||
}
|
||||
}
|
||||
}
|
||||
};
|
||||
+555
@@ -0,0 +1,555 @@
|
||||
/*!
|
||||
DataTables 1.10.8
|
||||
©2008-2014 SpryMedia Ltd - datatables.net/license
|
||||
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|
||||
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|
||||
var S = function (g) {
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
var a = a.oBrowser, b = g("<div/>").css({
|
||||
position: "fixed",
|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
var b = a.aoColumns[b], d = a.oClasses, e = g(b.nTh); if (!b.sWidthOrig) {
|
||||
b.sWidthOrig = e.attr("width") || null; var f = (e.attr("style") || "").match(/width:\s*(\d+[pxem%]+)/);
|
||||
f && (b.sWidthOrig = f[1])
|
||||
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||||
function (a, b, c) { var d = i(a, b, k, c); return j && b ? j(d, b, a, c) : d }; b.fnSetData = function (a, b, c) { return Q(h)(a, b, c) }; "number" !== typeof h && (a._rowReadObject = !0); a.oFeatures.bSort || (b.bSortable = !1, e.addClass(d.sSortableNone)); a = -1 !== g.inArray("asc", b.asSorting); c = -1 !== g.inArray("desc", b.asSorting); !b.bSortable || !a && !c ? (b.sSortingClass = d.sSortableNone, b.sSortingClassJUI = "") : a && !c ? (b.sSortingClass = d.sSortableAsc, b.sSortingClassJUI = d.sSortJUIAscAllowed) : !a && c ? (b.sSortingClass = d.sSortableDesc, b.sSortingClassJUI =
|
||||
d.sSortJUIDescAllowed) : (b.sSortingClass = d.sSortable, b.sSortingClassJUI = d.sSortJUI)
|
||||
} function Y(a) { if (!1 !== a.oFeatures.bAutoWidth) { var b = a.aoColumns; Ha(a); for (var c = 0, d = b.length; c < d; c++) b[c].nTh.style.width = b[c].sWidth } b = a.oScroll; ("" !== b.sY || "" !== b.sX) && Z(a); w(a, null, "column-sizing", [a]) } function la(a, b) { var c = $(a, "bVisible"); return "number" === typeof c[b] ? c[b] : null } function aa(a, b) { var c = $(a, "bVisible"), c = g.inArray(b, c); return -1 !== c ? c : null } function ba(a) { return $(a, "bVisible").length } function $(a, b) {
|
||||
var c =
|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
var e = a.iDraw, f = a.aoColumns[c], h = a.aoData[b]._aData, i = f.sDefaultContent, c = f.fnGetData(h, d, { settings: a, row: b, col: c }); if (c === k) return a.iDrawError !=
|
||||
e && null === i && (J(a, 0, "Requested unknown parameter " + ("function" == typeof f.mData ? "{function}" : "'" + f.mData + "'") + " for row " + b, 4), a.iDrawError = e), i; if ((c === h || null === c) && null !== i) c = i; else if ("function" === typeof c) return c.call(h); return null === c && "display" == d ? "" : c
|
||||
} function Ja(a, b, c, d) { a.aoColumns[c].fnSetData(a.aoData[b]._aData, d, { settings: a, row: b, col: c }) } function La(a) { return g.map(a.match(/(\\.|[^\.])+/g) || [""], function (a) { return a.replace(/\\./g, ".") }) } function P(a) {
|
||||
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|
||||
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||||
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||||
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|
||||
var c = function (a, b, f) {
|
||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
var i = e.anCells; if (i) if (d !==
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
q(i.mData.sort, a), q(i.mData.type, a), q(i.mData.filter, a)) : r ? (i._setter || (i._setter = Q(i.mData)), i._setter(d, n)) : d[j] = n; j++
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
var c = b.nTr, d = b._aData; if (c) {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
var b = w(a, "aoPreDrawCallback",
|
||||
"preDraw", [a]); if (-1 !== g.inArray(!1, b)) C(a, !1); else {
|
||||
var b = [], c = 0, d = a.asStripeClasses, e = d.length, f = a.oLanguage, h = a.iInitDisplayStart, i = "ssp" == z(a), j = a.aiDisplay; a.bDrawing = !0; h !== k && -1 !== h && (a._iDisplayStart = i ? h : h >= a.fnRecordsDisplay() ? 0 : h, a.iInitDisplayStart = -1); var h = a._iDisplayStart, n = a.fnDisplayEnd(); if (a.bDeferLoading) a.bDeferLoading = !1, a.iDraw++, C(a, !1); else if (i) { if (!a.bDestroying && !lb(a)) return } else a.iDraw++; if (0 !== j.length) {
|
||||
f = i ? a.aoData.length : n; for (i = i ? 0 : h; i < f; i++) {
|
||||
var l = j[i], r = a.aoData[l];
|
||||
null === r.nTr && Ka(a, l); l = r.nTr; if (0 !== e) { var q = d[c % e]; r._sRowStripe != q && (g(l).removeClass(r._sRowStripe).addClass(q), r._sRowStripe = q) } w(a, "aoRowCallback", null, [l, r._aData, c, i]); b.push(l); c++
|
||||
}
|
||||
} else c = f.sZeroRecords, 1 == a.iDraw && "ajax" == z(a) ? c = f.sLoadingRecords : f.sEmptyTable && 0 === a.fnRecordsTotal() && (c = f.sEmptyTable), b[0] = g("<tr/>", { "class": e ? d[0] : "" }).append(g("<td />", { valign: "top", colSpan: ba(a), "class": a.oClasses.sRowEmpty }).html(c))[0]; w(a, "aoHeaderCallback", "header", [g(a.nTHead).children("tr")[0],
|
||||
Ma(a), h, n, j]); w(a, "aoFooterCallback", "footer", [g(a.nTFoot).children("tr")[0], Ma(a), h, n, j]); d = g(a.nTBody); d.children().detach(); d.append(g(b)); w(a, "aoDrawCallback", "draw", [a]); a.bSorted = !1; a.bFiltered = !1; a.bDrawing = !1
|
||||
}
|
||||
} function R(a, b) { var c = a.oFeatures, d = c.bFilter; c.bSort && mb(a); d ? ga(a, a.oPreviousSearch) : a.aiDisplay = a.aiDisplayMaster.slice(); !0 !== b && (a._iDisplayStart = 0); a._drawHold = b; M(a); a._drawHold = !1 } function nb(a) {
|
||||
var b = a.oClasses, c = g(a.nTable), c = g("<div/>").insertBefore(c), d = a.oFeatures, e = g("<div/>",
|
||||
{ id: a.sTableId + "_wrapper", "class": b.sWrapper + (a.nTFoot ? "" : " " + b.sNoFooter) }); a.nHolding = c[0]; a.nTableWrapper = e[0]; a.nTableReinsertBefore = a.nTable.nextSibling; for (var f = a.sDom.split(""), h, i, j, n, l, r, q = 0; q < f.length; q++) {
|
||||
h = null; i = f[q]; if ("<" == i) {
|
||||
j = g("<div/>")[0]; n = f[q + 1]; if ("'" == n || '"' == n) {
|
||||
l = ""; for (r = 2; f[q + r] != n;) l += f[q + r], r++; "H" == l ? l = b.sJUIHeader : "F" == l && (l = b.sJUIFooter); -1 != l.indexOf(".") ? (n = l.split("."), j.id = n[0].substr(1, n[0].length - 1), j.className = n[1]) : "#" == l.charAt(0) ? j.id = l.substr(1, l.length -
|
||||
1) : j.className = l; q += r
|
||||
} e.append(j); e = g(j)
|
||||
} else if (">" == i) e = e.parent(); else if ("l" == i && d.bPaginate && d.bLengthChange) h = ob(a); else if ("f" == i && d.bFilter) h = pb(a); else if ("r" == i && d.bProcessing) h = qb(a); else if ("t" == i) h = rb(a); else if ("i" == i && d.bInfo) h = sb(a); else if ("p" == i && d.bPaginate) h = tb(a); else if (0 !== m.ext.feature.length) { j = m.ext.feature; r = 0; for (n = j.length; r < n; r++) if (i == j[r].cFeature) { h = j[r].fnInit(a); break } } h && (j = a.aanFeatures, j[i] || (j[i] = []), j[i].push(h), e.append(h))
|
||||
} c.replaceWith(e); a.nHolding = null
|
||||
}
|
||||
function ea(a, b) { var c = g(b).children("tr"), d, e, f, h, i, j, n, l, r, q; a.splice(0, a.length); f = 0; for (j = c.length; f < j; f++) a.push([]); f = 0; for (j = c.length; f < j; f++) { d = c[f]; for (e = d.firstChild; e;) { if ("TD" == e.nodeName.toUpperCase() || "TH" == e.nodeName.toUpperCase()) { l = 1 * e.getAttribute("colspan"); r = 1 * e.getAttribute("rowspan"); l = !l || 0 === l || 1 === l ? 1 : l; r = !r || 0 === r || 1 === r ? 1 : r; h = 0; for (i = a[f]; i[h];) h++; n = h; q = 1 === l ? !0 : !1; for (i = 0; i < l; i++) for (h = 0; h < r; h++) a[f + h][n + i] = { cell: e, unique: q }, a[f + h].nTr = d } e = e.nextSibling } } } function qa(a,
|
||||
b, c) { var d = []; c || (c = a.aoHeader, b && (c = [], ea(c, b))); for (var b = 0, e = c.length; b < e; b++) for (var f = 0, h = c[b].length; f < h; f++) if (c[b][f].unique && (!d[f] || !a.bSortCellsTop)) d[f] = c[b][f].cell; return d } function ra(a, b, c) {
|
||||
w(a, "aoServerParams", "serverParams", [b]); if (b && g.isArray(b)) { var d = {}, e = /(.*?)\[\]$/; g.each(b, function (a, b) { var c = b.name.match(e); c ? (c = c[0], d[c] || (d[c] = []), d[c].push(b.value)) : d[b.name] = b.value }); b = d } var f, h = a.ajax, i = a.oInstance, j = function (b) { w(a, null, "xhr", [a, b, a.jqXHR]); c(b) }; if (g.isPlainObject(h) &&
|
||||
h.data) { f = h.data; var n = g.isFunction(f) ? f(b, a) : f, b = g.isFunction(f) && n ? n : g.extend(!0, b, n); delete h.data } n = { data: b, success: function (b) { var c = b.error || b.sError; c && J(a, 0, c); a.json = b; j(b) }, dataType: "json", cache: !1, type: a.sServerMethod, error: function (b, c) { var f = w(a, null, "xhr", [a, null, a.jqXHR]); -1 === g.inArray(!0, f) && ("parsererror" == c ? J(a, 0, "Invalid JSON response", 1) : 4 === b.readyState && J(a, 0, "Ajax error", 7)); C(a, !1) } }; a.oAjaxData = b; w(a, null, "preXhr", [a, b]); a.fnServerData ? a.fnServerData.call(i, a.sAjaxSource,
|
||||
g.map(b, function (a, b) { return { name: b, value: a } }), j, a) : a.sAjaxSource || "string" === typeof h ? a.jqXHR = g.ajax(g.extend(n, { url: h || a.sAjaxSource })) : g.isFunction(h) ? a.jqXHR = h.call(i, b, j, a) : (a.jqXHR = g.ajax(g.extend(n, h)), h.data = f)
|
||||
} function lb(a) { return a.bAjaxDataGet ? (a.iDraw++, C(a, !0), ra(a, ub(a), function (b) { vb(a, b) }), !1) : !0 } function ub(a) {
|
||||
var b = a.aoColumns, c = b.length, d = a.oFeatures, e = a.oPreviousSearch, f = a.aoPreSearchCols, h, i = [], j, n, l, r = V(a); h = a._iDisplayStart; j = !1 !== d.bPaginate ? a._iDisplayLength : -1; var q = function (a,
|
||||
b) { i.push({ name: a, value: b }) }; q("sEcho", a.iDraw); q("iColumns", c); q("sColumns", D(b, "sName").join(",")); q("iDisplayStart", h); q("iDisplayLength", j); var k = { draw: a.iDraw, columns: [], order: [], start: h, length: j, search: { value: e.sSearch, regex: e.bRegex } }; for (h = 0; h < c; h++) n = b[h], l = f[h], j = "function" == typeof n.mData ? "function" : n.mData, k.columns.push({ data: j, name: n.sName, searchable: n.bSearchable, orderable: n.bSortable, search: { value: l.sSearch, regex: l.bRegex } }), q("mDataProp_" + h, j), d.bFilter && (q("sSearch_" + h, l.sSearch),
|
||||
q("bRegex_" + h, l.bRegex), q("bSearchable_" + h, n.bSearchable)), d.bSort && q("bSortable_" + h, n.bSortable); d.bFilter && (q("sSearch", e.sSearch), q("bRegex", e.bRegex)); d.bSort && (g.each(r, function (a, b) { k.order.push({ column: b.col, dir: b.dir }); q("iSortCol_" + a, b.col); q("sSortDir_" + a, b.dir) }), q("iSortingCols", r.length)); b = m.ext.legacy.ajax; return null === b ? a.sAjaxSource ? i : k : b ? i : k
|
||||
} function vb(a, b) {
|
||||
var c = sa(a, b), d = b.sEcho !== k ? b.sEcho : b.draw, e = b.iTotalRecords !== k ? b.iTotalRecords : b.recordsTotal, f = b.iTotalDisplayRecords !==
|
||||
k ? b.iTotalDisplayRecords : b.recordsFiltered; if (d) { if (1 * d < a.iDraw) return; a.iDraw = 1 * d } oa(a); a._iRecordsTotal = parseInt(e, 10); a._iRecordsDisplay = parseInt(f, 10); d = 0; for (e = c.length; d < e; d++) L(a, c[d]); a.aiDisplay = a.aiDisplayMaster.slice(); a.bAjaxDataGet = !1; M(a); a._bInitComplete || ta(a, b); a.bAjaxDataGet = !0; C(a, !1)
|
||||
} function sa(a, b) { var c = g.isPlainObject(a.ajax) && a.ajax.dataSrc !== k ? a.ajax.dataSrc : a.sAjaxDataProp; return "data" === c ? b.aaData || b[c] : "" !== c ? P(c)(b) : b } function pb(a) {
|
||||
var b = a.oClasses, c = a.sTableId, d = a.oLanguage,
|
||||
e = a.oPreviousSearch, f = a.aanFeatures, h = '<input type="search" class="' + b.sFilterInput + '"/>', i = d.sSearch, i = i.match(/_INPUT_/) ? i.replace("_INPUT_", h) : i + h, b = g("<div/>", { id: !f.f ? c + "_filter" : null, "class": b.sFilter }).append(g("<label/>").append(i)), f = function () { var b = !this.value ? "" : this.value; b != e.sSearch && (ga(a, { sSearch: b, bRegex: e.bRegex, bSmart: e.bSmart, bCaseInsensitive: e.bCaseInsensitive }), a._iDisplayStart = 0, M(a)) }, h = null !== a.searchDelay ? a.searchDelay : "ssp" === z(a) ? 400 : 0, j = g("input", b).val(e.sSearch).attr("placeholder",
|
||||
d.sSearchPlaceholder).bind("keyup.DT search.DT input.DT paste.DT cut.DT", h ? ua(f, h) : f).bind("keypress.DT", function (a) { if (13 == a.keyCode) return !1 }).attr("aria-controls", c); g(a.nTable).on("search.dt.DT", function (b, c) { if (a === c) try { j[0] !== T.activeElement && j.val(e.sSearch) } catch (f) { } }); return b[0]
|
||||
} function ga(a, b, c) {
|
||||
var d = a.oPreviousSearch, e = a.aoPreSearchCols, f = function (a) { d.sSearch = a.sSearch; d.bRegex = a.bRegex; d.bSmart = a.bSmart; d.bCaseInsensitive = a.bCaseInsensitive }; Ia(a); if ("ssp" != z(a)) {
|
||||
wb(a, b.sSearch,
|
||||
c, b.bEscapeRegex !== k ? !b.bEscapeRegex : b.bRegex, b.bSmart, b.bCaseInsensitive); f(b); for (b = 0; b < e.length; b++) xb(a, e[b].sSearch, b, e[b].bEscapeRegex !== k ? !e[b].bEscapeRegex : e[b].bRegex, e[b].bSmart, e[b].bCaseInsensitive); yb(a)
|
||||
} else f(b); a.bFiltered = !0; w(a, null, "search", [a])
|
||||
} function yb(a) { for (var b = m.ext.search, c = a.aiDisplay, d, e, f = 0, h = b.length; f < h; f++) { for (var i = [], j = 0, g = c.length; j < g; j++) e = c[j], d = a.aoData[e], b[f](a, d._aFilterData, e, d._aData, j) && i.push(e); c.length = 0; c.push.apply(c, i) } } function xb(a, b, c, d, e,
|
||||
f) { if ("" !== b) for (var h = a.aiDisplay, d = Ra(b, d, e, f), e = h.length - 1; 0 <= e; e--) b = a.aoData[h[e]]._aFilterData[c], d.test(b) || h.splice(e, 1) } function wb(a, b, c, d, e, f) { var d = Ra(b, d, e, f), e = a.oPreviousSearch.sSearch, f = a.aiDisplayMaster, h; 0 !== m.ext.search.length && (c = !0); h = zb(a); if (0 >= b.length) a.aiDisplay = f.slice(); else { if (h || c || e.length > b.length || 0 !== b.indexOf(e) || a.bSorted) a.aiDisplay = f.slice(); b = a.aiDisplay; for (c = b.length - 1; 0 <= c; c--) d.test(a.aoData[b[c]]._sFilterRow) || b.splice(c, 1) } } function Ra(a, b, c, d) {
|
||||
a = b ? a : va(a);
|
||||
c && (a = "^(?=.*?" + g.map(a.match(/"[^"]+"|[^ ]+/g) || [""], function (a) { if ('"' === a.charAt(0)) var b = a.match(/^"(.*)"$/), a = b ? b[1] : a; return a.replace('"', "") }).join(")(?=.*?") + ").*$"); return RegExp(a, d ? "i" : "")
|
||||
} function va(a) { return a.replace(Zb, "\\$1") } function zb(a) {
|
||||
var b = a.aoColumns, c, d, e, f, h, i, j, g, l = m.ext.type.search; c = !1; d = 0; for (f = a.aoData.length; d < f; d++) if (g = a.aoData[d], !g._aFilterData) {
|
||||
i = []; e = 0; for (h = b.length; e < h; e++) c = b[e], c.bSearchable ? (j = y(a, d, e, "filter"), l[c.sType] && (j = l[c.sType](j)), null === j && (j =
|
||||
""), "string" !== typeof j && j.toString && (j = j.toString())) : j = "", j.indexOf && -1 !== j.indexOf("&") && (wa.innerHTML = j, j = $b ? wa.textContent : wa.innerText), j.replace && (j = j.replace(/[\r\n]/g, "")), i.push(j); g._aFilterData = i; g._sFilterRow = i.join(" "); c = !0
|
||||
} return c
|
||||
} function Ab(a) { return { search: a.sSearch, smart: a.bSmart, regex: a.bRegex, caseInsensitive: a.bCaseInsensitive } } function Bb(a) { return { sSearch: a.search, bSmart: a.smart, bRegex: a.regex, bCaseInsensitive: a.caseInsensitive } } function sb(a) {
|
||||
var b = a.sTableId, c = a.aanFeatures.i,
|
||||
d = g("<div/>", { "class": a.oClasses.sInfo, id: !c ? b + "_info" : null }); c || (a.aoDrawCallback.push({ fn: Cb, sName: "information" }), d.attr("role", "status").attr("aria-live", "polite"), g(a.nTable).attr("aria-describedby", b + "_info")); return d[0]
|
||||
} function Cb(a) {
|
||||
var b = a.aanFeatures.i; if (0 !== b.length) {
|
||||
var c = a.oLanguage, d = a._iDisplayStart + 1, e = a.fnDisplayEnd(), f = a.fnRecordsTotal(), h = a.fnRecordsDisplay(), i = h ? c.sInfo : c.sInfoEmpty; h !== f && (i += " " + c.sInfoFiltered); i += c.sInfoPostFix; i = Db(a, i); c = c.fnInfoCallback; null !== c && (i =
|
||||
c.call(a.oInstance, a, d, e, f, h, i)); g(b).html(i)
|
||||
}
|
||||
} function Db(a, b) { var c = a.fnFormatNumber, d = a._iDisplayStart + 1, e = a._iDisplayLength, f = a.fnRecordsDisplay(), h = -1 === e; return b.replace(/_START_/g, c.call(a, d)).replace(/_END_/g, c.call(a, a.fnDisplayEnd())).replace(/_MAX_/g, c.call(a, a.fnRecordsTotal())).replace(/_TOTAL_/g, c.call(a, f)).replace(/_PAGE_/g, c.call(a, h ? 1 : Math.ceil(d / e))).replace(/_PAGES_/g, c.call(a, h ? 1 : Math.ceil(f / e))) } function ha(a) {
|
||||
var b, c, d = a.iInitDisplayStart, e = a.aoColumns, f; c = a.oFeatures; var h =
|
||||
a.bDeferLoading; if (a.bInitialised) { nb(a); kb(a); fa(a, a.aoHeader); fa(a, a.aoFooter); C(a, !0); c.bAutoWidth && Ha(a); b = 0; for (c = e.length; b < c; b++) f = e[b], f.sWidth && (f.nTh.style.width = u(f.sWidth)); w(a, null, "preInit", [a]); R(a); e = z(a); if ("ssp" != e || h) "ajax" == e ? ra(a, [], function (c) { var f = sa(a, c); for (b = 0; b < f.length; b++) L(a, f[b]); a.iInitDisplayStart = d; R(a); C(a, !1); ta(a, c) }, a) : (C(a, !1), ta(a)) } else setTimeout(function () { ha(a) }, 200)
|
||||
} function ta(a, b) {
|
||||
a._bInitComplete = !0; (b || a.oInit.aaData) && Y(a); w(a, "aoInitComplete", "init",
|
||||
[a, b])
|
||||
} function Sa(a, b) { var c = parseInt(b, 10); a._iDisplayLength = c; Ta(a); w(a, null, "length", [a, c]) } function ob(a) {
|
||||
for (var b = a.oClasses, c = a.sTableId, d = a.aLengthMenu, e = g.isArray(d[0]), f = e ? d[0] : d, d = e ? d[1] : d, e = g("<select/>", { name: c + "_length", "aria-controls": c, "class": b.sLengthSelect }), h = 0, i = f.length; h < i; h++) e[0][h] = new Option(d[h], f[h]); var j = g("<div><label/></div>").addClass(b.sLength); a.aanFeatures.l || (j[0].id = c + "_length"); j.children().append(a.oLanguage.sLengthMenu.replace("_MENU_", e[0].outerHTML)); g("select",
|
||||
j).val(a._iDisplayLength).bind("change.DT", function () { Sa(a, g(this).val()); M(a) }); g(a.nTable).bind("length.dt.DT", function (b, c, f) { a === c && g("select", j).val(f) }); return j[0]
|
||||
} function tb(a) {
|
||||
var b = a.sPaginationType, c = m.ext.pager[b], d = "function" === typeof c, e = function (a) { M(a) }, b = g("<div/>").addClass(a.oClasses.sPaging + b)[0], f = a.aanFeatures; d || c.fnInit(a, b, e); f.p || (b.id = a.sTableId + "_paginate", a.aoDrawCallback.push({
|
||||
fn: function (a) {
|
||||
if (d) {
|
||||
var b = a._iDisplayStart, g = a._iDisplayLength, n = a.fnRecordsDisplay(), l = -1 ===
|
||||
g, b = l ? 0 : Math.ceil(b / g), g = l ? 1 : Math.ceil(n / g), n = c(b, g), k, l = 0; for (k = f.p.length; l < k; l++) Qa(a, "pageButton")(a, f.p[l], l, n, b, g)
|
||||
} else c.fnUpdate(a, e)
|
||||
}, sName: "pagination"
|
||||
})); return b
|
||||
} function Ua(a, b, c) {
|
||||
var d = a._iDisplayStart, e = a._iDisplayLength, f = a.fnRecordsDisplay(); 0 === f || -1 === e ? d = 0 : "number" === typeof b ? (d = b * e, d > f && (d = 0)) : "first" == b ? d = 0 : "previous" == b ? (d = 0 <= e ? d - e : 0, 0 > d && (d = 0)) : "next" == b ? d + e < f && (d += e) : "last" == b ? d = Math.floor((f - 1) / e) * e : J(a, 0, "Unknown paging action: " + b, 5); b = a._iDisplayStart !== d; a._iDisplayStart =
|
||||
d; b && (w(a, null, "page", [a]), c && M(a)); return b
|
||||
} function qb(a) { return g("<div/>", { id: !a.aanFeatures.r ? a.sTableId + "_processing" : null, "class": a.oClasses.sProcessing }).html(a.oLanguage.sProcessing).insertBefore(a.nTable)[0] } function C(a, b) { a.oFeatures.bProcessing && g(a.aanFeatures.r).css("display", b ? "block" : "none"); w(a, null, "processing", [a, b]) } function rb(a) {
|
||||
var b = g(a.nTable); b.attr("role", "grid"); var c = a.oScroll; if ("" === c.sX && "" === c.sY) return a.nTable; var d = c.sX, e = c.sY, f = a.oClasses, h = b.children("caption"),
|
||||
i = h.length ? h[0]._captionSide : null, j = g(b[0].cloneNode(!1)), n = g(b[0].cloneNode(!1)), l = b.children("tfoot"); c.sX && "100%" === b.attr("width") && b.removeAttr("width"); l.length || (l = null); j = g("<div/>", { "class": f.sScrollWrapper }).append(g("<div/>", { "class": f.sScrollHead }).css({ overflow: "hidden", position: "relative", border: 0, width: d ? !d ? null : u(d) : "100%" }).append(g("<div/>", { "class": f.sScrollHeadInner }).css({ "box-sizing": "content-box", width: c.sXInner || "100%" }).append(j.removeAttr("id").css("margin-left", 0).append("top" ===
|
||||
i ? h : null).append(b.children("thead"))))).append(g("<div/>", { "class": f.sScrollBody }).css({ position: "relative", overflow: "auto", width: !d ? null : u(d) }).append(b)); l && j.append(g("<div/>", { "class": f.sScrollFoot }).css({ overflow: "hidden", border: 0, width: d ? !d ? null : u(d) : "100%" }).append(g("<div/>", { "class": f.sScrollFootInner }).append(n.removeAttr("id").css("margin-left", 0).append("bottom" === i ? h : null).append(b.children("tfoot"))))); var b = j.children(), k = b[0], f = b[1], q = l ? b[2] : null; if (d) g(f).on("scroll.DT", function () {
|
||||
var a =
|
||||
this.scrollLeft; k.scrollLeft = a; l && (q.scrollLeft = a)
|
||||
}); g(f).css(e && c.bCollapse ? "max-height" : "height", e); a.nScrollHead = k; a.nScrollBody = f; a.nScrollFoot = q; a.aoDrawCallback.push({ fn: Z, sName: "scrolling" }); return j[0]
|
||||
} function Z(a) {
|
||||
var b = a.oScroll, c = b.sX, d = b.sXInner, e = b.sY, b = b.iBarWidth, f = g(a.nScrollHead), h = f[0].style, i = f.children("div"), j = i[0].style, n = i.children("table"), i = a.nScrollBody, l = g(i), k = i.style, q = g(a.nScrollFoot).children("div"), m = q.children("table"), o = g(a.nTHead), E = g(a.nTable), p = E[0], t = p.style,
|
||||
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|
||||
}; this.fnGetNodes = function (a) { var b = this.api(!0); return a !== k ? b.row(a).node() : b.rows().nodes().flatten().toArray() }; this.fnGetPosition = function (a) { var b = this.api(!0), c = a.nodeName.toUpperCase(); return "TR" == c ? b.row(a).index() : "TD" == c || "TH" == c ? (a = b.cell(a).index(), [a.row, a.columnVisible, a.column]) : null }; this.fnIsOpen = function (a) { return this.api(!0).row(a).child.isShown() };
|
||||
this.fnOpen = function (a, b, c) { return this.api(!0).row(a).child(b, c).show().child()[0] }; this.fnPageChange = function (a, b) { var c = this.api(!0).page(a); (b === k || b) && c.draw(!1) }; this.fnSetColumnVis = function (a, b, c) { a = this.api(!0).column(a).visible(b); (c === k || c) && a.columns.adjust().draw() }; this.fnSettings = function () { return za(this[v.iApiIndex]) }; this.fnSort = function (a) { this.api(!0).order(a).draw() }; this.fnSortListener = function (a, b, c) { this.api(!0).order.listener(a, b, c) }; this.fnUpdate = function (a, b, c, d, e) {
|
||||
var g =
|
||||
this.api(!0); c === k || null === c ? g.row(b).data(a) : g.cell(b, c).data(a); (e === k || e) && g.columns.adjust(); (d === k || d) && g.draw(); return 0
|
||||
}; this.fnVersionCheck = v.fnVersionCheck; var b = this, c = a === k, d = this.length; c && (a = {}); this.oApi = this.internal = v.internal; for (var e in m.ext.internal) e && (this[e] = Ob(e)); this.each(function () {
|
||||
var f = {}, f = 1 < d ? Mb(f, a, !0) : a, e = 0, i, j = this.getAttribute("id"), n = !1, l = m.defaults, r = g(this); if ("table" != this.nodeName.toLowerCase()) J(null, 0, "Non-table node initialisation (" + this.nodeName + ")", 2);
|
||||
else {
|
||||
eb(l); fb(l.column); I(l, l, !0); I(l.column, l.column, !0); I(l, g.extend(f, r.data())); var q = m.settings, e = 0; for (i = q.length; e < i; e++) { var p = q[e]; if (p.nTable == this || p.nTHead.parentNode == this || p.nTFoot && p.nTFoot.parentNode == this) { e = f.bRetrieve !== k ? f.bRetrieve : l.bRetrieve; if (c || e) return p.oInstance; if (f.bDestroy !== k ? f.bDestroy : l.bDestroy) { p.oInstance.fnDestroy(); break } else { J(p, 0, "Cannot reinitialise DataTable", 3); return } } if (p.sTableId == this.id) { q.splice(e, 1); break } } if (null === j || "" === j) this.id = j = "DataTables_Table_" +
|
||||
m.ext._unique++; var o = g.extend(!0, {}, m.models.oSettings, { sDestroyWidth: r[0].style.width, sInstance: j, sTableId: j }); o.nTable = this; o.oApi = b.internal; o.oInit = f; q.push(o); o.oInstance = 1 === b.length ? b : r.dataTable(); eb(f); f.oLanguage && S(f.oLanguage); f.aLengthMenu && !f.iDisplayLength && (f.iDisplayLength = g.isArray(f.aLengthMenu[0]) ? f.aLengthMenu[0][0] : f.aLengthMenu[0]); f = Mb(g.extend(!0, {}, l), f); F(o.oFeatures, f, "bPaginate bLengthChange bFilter bSort bSortMulti bInfo bProcessing bAutoWidth bSortClasses bServerSide bDeferRender".split(" "));
|
||||
F(o, f, ["asStripeClasses", "ajax", "fnServerData", "fnFormatNumber", "sServerMethod", "aaSorting", "aaSortingFixed", "aLengthMenu", "sPaginationType", "sAjaxSource", "sAjaxDataProp", "iStateDuration", "sDom", "bSortCellsTop", "iTabIndex", "fnStateLoadCallback", "fnStateSaveCallback", "renderer", "searchDelay", "rowId", ["iCookieDuration", "iStateDuration"], ["oSearch", "oPreviousSearch"], ["aoSearchCols", "aoPreSearchCols"], ["iDisplayLength", "_iDisplayLength"], ["bJQueryUI", "bJUI"]]); F(o.oScroll, f, [["sScrollX", "sX"], ["sScrollXInner",
|
||||
"sXInner"], ["sScrollY", "sY"], ["bScrollCollapse", "bCollapse"]]); F(o.oLanguage, f, "fnInfoCallback"); A(o, "aoDrawCallback", f.fnDrawCallback, "user"); A(o, "aoServerParams", f.fnServerParams, "user"); A(o, "aoStateSaveParams", f.fnStateSaveParams, "user"); A(o, "aoStateLoadParams", f.fnStateLoadParams, "user"); A(o, "aoStateLoaded", f.fnStateLoaded, "user"); A(o, "aoRowCallback", f.fnRowCallback, "user"); A(o, "aoRowCreatedCallback", f.fnCreatedRow, "user"); A(o, "aoHeaderCallback", f.fnHeaderCallback, "user"); A(o, "aoFooterCallback",
|
||||
f.fnFooterCallback, "user"); A(o, "aoInitComplete", f.fnInitComplete, "user"); A(o, "aoPreDrawCallback", f.fnPreDrawCallback, "user"); o.rowIdFn = P(f.rowId); j = o.oClasses; f.bJQueryUI ? (g.extend(j, m.ext.oJUIClasses, f.oClasses), f.sDom === l.sDom && "lfrtip" === l.sDom && (o.sDom = '<"H"lfr>t<"F"ip>'), o.renderer) ? g.isPlainObject(o.renderer) && !o.renderer.header && (o.renderer.header = "jqueryui") : o.renderer = "jqueryui" : g.extend(j, m.ext.classes, f.oClasses); r.addClass(j.sTable); if ("" !== o.oScroll.sX || "" !== o.oScroll.sY) o.oScroll.iBarWidth =
|
||||
Ib(); o.iInitDisplayStart === k && (o.iInitDisplayStart = f.iDisplayStart, o._iDisplayStart = f.iDisplayStart); null !== f.iDeferLoading && (o.bDeferLoading = !0, e = g.isArray(f.iDeferLoading), o._iRecordsDisplay = e ? f.iDeferLoading[0] : f.iDeferLoading, o._iRecordsTotal = e ? f.iDeferLoading[1] : f.iDeferLoading); var t = o.oLanguage; g.extend(!0, t, f.oLanguage); "" !== t.sUrl && (g.ajax({ dataType: "json", url: t.sUrl, success: function (a) { S(a); I(l.oLanguage, a); g.extend(true, t, a); ha(o) }, error: function () { ha(o) } }), n = !0); null === f.asStripeClasses &&
|
||||
(o.asStripeClasses = [j.sStripeOdd, j.sStripeEven]); var e = o.asStripeClasses, s = r.children("tbody").find("tr").eq(0); -1 !== g.inArray(!0, g.map(e, function (a) { return s.hasClass(a) })) && (g("tbody tr", this).removeClass(e.join(" ")), o.asDestroyStripes = e.slice()); q = []; e = this.getElementsByTagName("thead"); 0 !== e.length && (ea(o.aoHeader, e[0]), q = qa(o)); if (null === f.aoColumns) { p = []; e = 0; for (i = q.length; e < i; e++) p.push(null) } else p = f.aoColumns; e = 0; for (i = p.length; e < i; e++) Ga(o, q ? q[e] : null); ib(o, f.aoColumnDefs, p, function (a,
|
||||
b) { ka(o, a, b) }); if (s.length) { var u = function (a, b) { return a.getAttribute("data-" + b) !== null ? b : null }; g.each(na(o, s[0]).cells, function (a, b) { var c = o.aoColumns[a]; if (c.mData === a) { var d = u(b, "sort") || u(b, "order"), e = u(b, "filter") || u(b, "search"); if (d !== null || e !== null) { c.mData = { _: a + ".display", sort: d !== null ? a + ".@data-" + d : k, type: d !== null ? a + ".@data-" + d : k, filter: e !== null ? a + ".@data-" + e : k }; ka(o, a) } } }) } var v = o.oFeatures; f.bStateSave && (v.bStateSave = !0, Lb(o, f), A(o, "aoDrawCallback", ya, "state_save")); if (f.aaSorting === k) {
|
||||
q =
|
||||
o.aaSorting; e = 0; for (i = q.length; e < i; e++) q[e][1] = o.aoColumns[e].asSorting[0]
|
||||
} xa(o); v.bSort && A(o, "aoDrawCallback", function () { if (o.bSorted) { var a = V(o), b = {}; g.each(a, function (a, c) { b[c.src] = c.dir }); w(o, null, "order", [o, a, b]); Kb(o) } }); A(o, "aoDrawCallback", function () { (o.bSorted || z(o) === "ssp" || v.bDeferRender) && xa(o) }, "sc"); gb(o); e = r.children("caption").each(function () { this._captionSide = r.css("caption-side") }); i = r.children("thead"); 0 === i.length && (i = g("<thead/>").appendTo(this)); o.nTHead = i[0]; i = r.children("tbody");
|
||||
0 === i.length && (i = g("<tbody/>").appendTo(this)); o.nTBody = i[0]; i = r.children("tfoot"); if (0 === i.length && 0 < e.length && ("" !== o.oScroll.sX || "" !== o.oScroll.sY)) i = g("<tfoot/>").appendTo(this); 0 === i.length || 0 === i.children().length ? r.addClass(j.sNoFooter) : 0 < i.length && (o.nTFoot = i[0], ea(o.aoFooter, o.nTFoot)); if (f.aaData) for (e = 0; e < f.aaData.length; e++) L(o, f.aaData[e]); else (o.bDeferLoading || "dom" == z(o)) && ma(o, g(o.nTBody).children("tr")); o.aiDisplay = o.aiDisplayMaster.slice(); o.bInitialised = !0; !1 === n && ha(o)
|
||||
}
|
||||
}); b = null;
|
||||
return this
|
||||
}; var Ub = [], x = Array.prototype, dc = function (a) { var b, c, d = m.settings, e = g.map(d, function (a) { return a.nTable }); if (a) { if (a.nTable && a.oApi) return [a]; if (a.nodeName && "table" === a.nodeName.toLowerCase()) return b = g.inArray(a, e), -1 !== b ? [d[b]] : null; if (a && "function" === typeof a.settings) return a.settings().toArray(); "string" === typeof a ? c = g(a) : a instanceof g && (c = a) } else return []; if (c) return c.map(function () { b = g.inArray(this, e); return -1 !== b ? d[b] : null }).toArray() }; t = function (a, b) {
|
||||
if (!(this instanceof t)) return new t(a,
|
||||
b); var c = [], d = function (a) { (a = dc(a)) && c.push.apply(c, a) }; if (g.isArray(a)) for (var e = 0, f = a.length; e < f; e++) d(a[e]); else d(a); this.context = Oa(c); b && this.push.apply(this, b.toArray ? b.toArray() : b); this.selector = { rows: null, cols: null, opts: null }; t.extend(this, this, Ub)
|
||||
}; m.Api = t; t.prototype = {
|
||||
any: function () { return 0 !== this.count() }, concat: x.concat, context: [], count: function () { return this.flatten().length }, each: function (a) { for (var b = 0, c = this.length; b < c; b++) a.call(this, this[b], b, this); return this }, eq: function (a) {
|
||||
var b =
|
||||
this.context; return b.length > a ? new t(b[a], this[a]) : null
|
||||
}, filter: function (a) { var b = []; if (x.filter) b = x.filter.call(this, a, this); else for (var c = 0, d = this.length; c < d; c++) a.call(this, this[c], c, this) && b.push(this[c]); return new t(this.context, b) }, flatten: function () { var a = []; return new t(this.context, a.concat.apply(a, this.toArray())) }, join: x.join, indexOf: x.indexOf || function (a, b) { for (var c = b || 0, d = this.length; c < d; c++) if (this[c] === a) return c; return -1 }, iterator: function (a, b, c, d) {
|
||||
var e = [], f, h, g, j, n, l = this.context,
|
||||
m, q, p = this.selector; "string" === typeof a && (d = c, c = b, b = a, a = !1); h = 0; for (g = l.length; h < g; h++) { var o = new t(l[h]); if ("table" === b) f = c.call(o, l[h], h), f !== k && e.push(f); else if ("columns" === b || "rows" === b) f = c.call(o, l[h], this[h], h), f !== k && e.push(f); else if ("column" === b || "column-rows" === b || "row" === b || "cell" === b) { q = this[h]; "column-rows" === b && (m = Da(l[h], p.opts)); j = 0; for (n = q.length; j < n; j++) f = q[j], f = "cell" === b ? c.call(o, l[h], f.row, f.column, h, j) : c.call(o, l[h], f, h, j, m), f !== k && e.push(f) } } return e.length || d ? (a = new t(l, a ?
|
||||
e.concat.apply([], e) : e), b = a.selector, b.rows = p.rows, b.cols = p.cols, b.opts = p.opts, a) : this
|
||||
}, lastIndexOf: x.lastIndexOf || function (a, b) { return this.indexOf.apply(this.toArray.reverse(), arguments) }, length: 0, map: function (a) { var b = []; if (x.map) b = x.map.call(this, a, this); else for (var c = 0, d = this.length; c < d; c++) b.push(a.call(this, this[c], c)); return new t(this.context, b) }, pluck: function (a) { return this.map(function (b) { return b[a] }) }, pop: x.pop, push: x.push, reduce: x.reduce || function (a, b) {
|
||||
return hb(this, a, b, 0, this.length,
|
||||
1)
|
||||
}, reduceRight: x.reduceRight || function (a, b) { return hb(this, a, b, this.length - 1, -1, -1) }, reverse: x.reverse, selector: null, shift: x.shift, sort: x.sort, splice: x.splice, toArray: function () { return x.slice.call(this) }, to$: function () { return g(this) }, toJQuery: function () { return g(this) }, unique: function () { return new t(this.context, Oa(this)) }, unshift: x.unshift
|
||||
}; t.extend = function (a, b, c) {
|
||||
if (c.length && b && (b instanceof t || b.__dt_wrapper)) {
|
||||
var d, e, f, h = function (a, b, c) {
|
||||
return function () {
|
||||
var d = b.apply(a, arguments); t.extend(d,
|
||||
d, c.methodExt); return d
|
||||
}
|
||||
}; d = 0; for (e = c.length; d < e; d++) f = c[d], b[f.name] = "function" === typeof f.val ? h(a, f.val, f) : g.isPlainObject(f.val) ? {} : f.val, b[f.name].__dt_wrapper = !0, t.extend(a, b[f.name], f.propExt)
|
||||
}
|
||||
}; t.register = p = function (a, b) {
|
||||
if (g.isArray(a)) for (var c = 0, d = a.length; c < d; c++) t.register(a[c], b); else for (var e = a.split("."), f = Ub, h, i, c = 0, d = e.length; c < d; c++) {
|
||||
h = (i = -1 !== e[c].indexOf("()")) ? e[c].replace("()", "") : e[c]; var j; a: { j = 0; for (var n = f.length; j < n; j++) if (f[j].name === h) { j = f[j]; break a } j = null } j || (j = {
|
||||
name: h,
|
||||
val: {}, methodExt: [], propExt: []
|
||||
}, f.push(j)); c === d - 1 ? j.val = b : f = i ? j.methodExt : j.propExt
|
||||
}
|
||||
}; t.registerPlural = s = function (a, b, c) { t.register(a, c); t.register(b, function () { var a = c.apply(this, arguments); return a === this ? this : a instanceof t ? a.length ? g.isArray(a[0]) ? new t(a.context, a[0]) : a[0] : k : a }) }; p("tables()", function (a) {
|
||||
var b; if (a) {
|
||||
b = t; var c = this.context; if ("number" === typeof a) a = [c[a]]; else var d = g.map(c, function (a) { return a.nTable }), a = g(d).filter(a).map(function () { var a = g.inArray(this, d); return c[a] }).toArray();
|
||||
b = new b(a)
|
||||
} else b = this; return b
|
||||
}); p("table()", function (a) { var a = this.tables(a), b = a.context; return b.length ? new t(b[0]) : a }); s("tables().nodes()", "table().node()", function () { return this.iterator("table", function (a) { return a.nTable }, 1) }); s("tables().body()", "table().body()", function () { return this.iterator("table", function (a) { return a.nTBody }, 1) }); s("tables().header()", "table().header()", function () { return this.iterator("table", function (a) { return a.nTHead }, 1) }); s("tables().footer()", "table().footer()",
|
||||
function () { return this.iterator("table", function (a) { return a.nTFoot }, 1) }); s("tables().containers()", "table().container()", function () { return this.iterator("table", function (a) { return a.nTableWrapper }, 1) }); p("draw()", function (a) { return this.iterator("table", function (b) { "page" === a ? M(b) : ("string" === typeof a && (a = "full-hold" === a ? !1 : !0), R(b, !1 === a)) }) }); p("page()", function (a) { return a === k ? this.page.info().page : this.iterator("table", function (b) { Ua(b, a) }) }); p("page.info()", function () {
|
||||
if (0 === this.context.length) return k;
|
||||
var a = this.context[0], b = a._iDisplayStart, c = a._iDisplayLength, d = a.fnRecordsDisplay(), e = -1 === c; return { page: e ? 0 : Math.floor(b / c), pages: e ? 1 : Math.ceil(d / c), start: b, end: a.fnDisplayEnd(), length: c, recordsTotal: a.fnRecordsTotal(), recordsDisplay: d, serverSide: "ssp" === z(a) }
|
||||
}); p("page.len()", function (a) { return a === k ? 0 !== this.context.length ? this.context[0]._iDisplayLength : k : this.iterator("table", function (b) { Sa(b, a) }) }); var Vb = function (a, b, c) {
|
||||
if (c) { var d = new t(a); d.one("draw", function () { c(d.ajax.json()) }) } if ("ssp" ==
|
||||
z(a)) R(a, b); else { C(a, !0); var e = a.jqXHR; e && 4 !== e.readyState && e.abort(); ra(a, [], function (c) { oa(a); for (var c = sa(a, c), d = 0, e = c.length; d < e; d++) L(a, c[d]); R(a, b); C(a, !1) }) }
|
||||
}; p("ajax.json()", function () { var a = this.context; if (0 < a.length) return a[0].json }); p("ajax.params()", function () { var a = this.context; if (0 < a.length) return a[0].oAjaxData }); p("ajax.reload()", function (a, b) { return this.iterator("table", function (c) { Vb(c, !1 === b, a) }) }); p("ajax.url()", function (a) {
|
||||
var b = this.context; if (a === k) {
|
||||
if (0 === b.length) return k;
|
||||
b = b[0]; return b.ajax ? g.isPlainObject(b.ajax) ? b.ajax.url : b.ajax : b.sAjaxSource
|
||||
} return this.iterator("table", function (b) { g.isPlainObject(b.ajax) ? b.ajax.url = a : b.ajax = a })
|
||||
}); p("ajax.url().load()", function (a, b) { return this.iterator("table", function (c) { Vb(c, !1 === b, a) }) }); var $a = function (a, b, c, d, e) {
|
||||
var f = [], h, i, j, n, l, m; j = typeof b; if (!b || "string" === j || "function" === j || b.length === k) b = [b]; j = 0; for (n = b.length; j < n; j++) {
|
||||
i = b[j] && b[j].split ? b[j].split(",") : [b[j]]; l = 0; for (m = i.length; l < m; l++) (h = c("string" === typeof i[l] ?
|
||||
g.trim(i[l]) : i[l])) && h.length && f.push.apply(f, h)
|
||||
} a = v.selector[a]; if (a.length) { j = 0; for (n = a.length; j < n; j++) f = a[j](d, e, f) } return f
|
||||
}, ab = function (a) { a || (a = {}); a.filter && a.search === k && (a.search = a.filter); return g.extend({ search: "none", order: "current", page: "all" }, a) }, bb = function (a) { for (var b = 0, c = a.length; b < c; b++) if (0 < a[b].length) return a[0] = a[b], a[0].length = 1, a.length = 1, a.context = [a.context[b]], a; a.length = 0; return a }, Da = function (a, b) {
|
||||
var c, d, e, f = [], h = a.aiDisplay; c = a.aiDisplayMaster; var i = b.search; d = b.order;
|
||||
e = b.page; if ("ssp" == z(a)) return "removed" === i ? [] : W(0, c.length); if ("current" == e) { c = a._iDisplayStart; for (d = a.fnDisplayEnd() ; c < d; c++) f.push(h[c]) } else if ("current" == d || "applied" == d) f = "none" == i ? c.slice() : "applied" == i ? h.slice() : g.map(c, function (a) { return -1 === g.inArray(a, h) ? a : null }); else if ("index" == d || "original" == d) { c = 0; for (d = a.aoData.length; c < d; c++) "none" == i ? f.push(c) : (e = g.inArray(c, h), (-1 === e && "removed" == i || 0 <= e && "applied" == i) && f.push(c)) } return f
|
||||
}; p("rows()", function (a, b) {
|
||||
a === k ? a = "" : g.isPlainObject(a) &&
|
||||
(b = a, a = ""); var b = ab(b), c = this.iterator("table", function (c) {
|
||||
var e = b; return $a("row", a, function (a) { var b = Qb(a); if (b !== null && !e) return [b]; var i = Da(c, e); if (b !== null && g.inArray(b, i) !== -1) return [b]; if (!a) return i; if (typeof a === "function") return g.map(i, function (b) { var e = c.aoData[b]; return a(b, e._aData, e.nTr) ? b : null }); b = Tb(ia(c.aoData, i, "nTr")); if (a.nodeName && g.inArray(a, b) !== -1) return [a._DT_RowIndex]; if (typeof a === "string" && a.charAt(0) === "#") { i = c.aIds[a.replace(/^#/, "")]; if (i !== k) return [i.idx] } return g(b).filter(a).map(function () { return this._DT_RowIndex }).toArray() },
|
||||
c, e)
|
||||
}, 1); c.selector.rows = a; c.selector.opts = b; return c
|
||||
}); p("rows().nodes()", function () { return this.iterator("row", function (a, b) { return a.aoData[b].nTr || k }, 1) }); p("rows().data()", function () { return this.iterator(!0, "rows", function (a, b) { return ia(a.aoData, b, "_aData") }, 1) }); s("rows().cache()", "row().cache()", function (a) { return this.iterator("row", function (b, c) { var d = b.aoData[c]; return "search" === a ? d._aFilterData : d._aSortData }, 1) }); s("rows().invalidate()", "row().invalidate()", function (a) {
|
||||
return this.iterator("row",
|
||||
function (b, c) { da(b, c, a) })
|
||||
}); s("rows().indexes()", "row().index()", function () { return this.iterator("row", function (a, b) { return b }, 1) }); s("rows().ids()", "row().id()", function (a) { for (var b = [], c = this.context, d = 0, e = c.length; d < e; d++) for (var f = 0, g = this[d].length; f < g; f++) { var i = c[d].rowIdFn(c[d].aoData[this[d][f]]._aData); b.push((!0 === a ? "#" : "") + i) } return new t(c, b) }); s("rows().remove()", "row().remove()", function () {
|
||||
var a = this; this.iterator("row", function (b, c, d) {
|
||||
var e = b.aoData; e.splice(c, 1); for (var f = 0, g = e.length; f <
|
||||
g; f++) null !== e[f].nTr && (e[f].nTr._DT_RowIndex = f); pa(b.aiDisplayMaster, c); pa(b.aiDisplay, c); pa(a[d], c, !1); Ta(b)
|
||||
}); this.iterator("table", function (a) { for (var c = 0, d = a.aoData.length; c < d; c++) a.aoData[c].idx = c }); return this
|
||||
}); p("rows.add()", function (a) { var b = this.iterator("table", function (b) { var c, f, g, i = []; f = 0; for (g = a.length; f < g; f++) c = a[f], c.nodeName && "TR" === c.nodeName.toUpperCase() ? i.push(ma(b, c)[0]) : i.push(L(b, c)); return i }, 1), c = this.rows(-1); c.pop(); c.push.apply(c, b.toArray()); return c }); p("row()", function (a,
|
||||
b) { return bb(this.rows(a, b)) }); p("row().data()", function (a) { var b = this.context; if (a === k) return b.length && this.length ? b[0].aoData[this[0]]._aData : k; b[0].aoData[this[0]]._aData = a; da(b[0], this[0], "data"); return this }); p("row().node()", function () { var a = this.context; return a.length && this.length ? a[0].aoData[this[0]].nTr || null : null }); p("row.add()", function (a) {
|
||||
a instanceof g && a.length && (a = a[0]); var b = this.iterator("table", function (b) { return a.nodeName && "TR" === a.nodeName.toUpperCase() ? ma(b, a)[0] : L(b, a) });
|
||||
return this.row(b[0])
|
||||
}); var cb = function (a, b) { var c = a.context; if (c.length && (c = c[0].aoData[b !== k ? b : a[0]]) && c._details) c._details.remove(), c._detailsShow = k, c._details = k }, Wb = function (a, b) {
|
||||
var c = a.context; if (c.length && a.length) {
|
||||
var d = c[0].aoData[a[0]]; if (d._details) {
|
||||
(d._detailsShow = b) ? d._details.insertAfter(d.nTr) : d._details.detach(); var e = c[0], f = new t(e), g = e.aoData; f.off("draw.dt.DT_details column-visibility.dt.DT_details destroy.dt.DT_details"); 0 < D(g, "_details").length && (f.on("draw.dt.DT_details", function (a,
|
||||
b) { e === b && f.rows({ page: "current" }).eq(0).each(function (a) { a = g[a]; a._detailsShow && a._details.insertAfter(a.nTr) }) }), f.on("column-visibility.dt.DT_details", function (a, b) { if (e === b) for (var c, d = ba(b), f = 0, k = g.length; f < k; f++) c = g[f], c._details && c._details.children("td[colspan]").attr("colspan", d) }), f.on("destroy.dt.DT_details", function (a, b) { if (e === b) for (var c = 0, d = g.length; c < d; c++) g[c]._details && cb(f, c) }))
|
||||
}
|
||||
}
|
||||
}; p("row().child()", function (a, b) {
|
||||
var c = this.context; if (a === k) return c.length && this.length ? c[0].aoData[this[0]]._details :
|
||||
k; if (!0 === a) this.child.show(); else if (!1 === a) cb(this); else if (c.length && this.length) { var d = c[0], c = c[0].aoData[this[0]], e = [], f = function (a, b) { if (g.isArray(a) || a instanceof g) for (var c = 0, k = a.length; c < k; c++) f(a[c], b); else a.nodeName && "tr" === a.nodeName.toLowerCase() ? e.push(a) : (c = g("<tr><td/></tr>").addClass(b), g("td", c).addClass(b).html(a)[0].colSpan = ba(d), e.push(c[0])) }; f(a, b); c._details && c._details.remove(); c._details = g(e); c._detailsShow && c._details.insertAfter(c.nTr) } return this
|
||||
}); p(["row().child.show()",
|
||||
"row().child().show()"], function () { Wb(this, !0); return this }); p(["row().child.hide()", "row().child().hide()"], function () { Wb(this, !1); return this }); p(["row().child.remove()", "row().child().remove()"], function () { cb(this); return this }); p("row().child.isShown()", function () { var a = this.context; return a.length && this.length ? a[0].aoData[this[0]]._detailsShow || !1 : !1 }); var ec = /^(.+):(name|visIdx|visible)$/, Xb = function (a, b, c, d, e) { for (var c = [], d = 0, f = e.length; d < f; d++) c.push(y(a, e[d], b)); return c }; p("columns()",
|
||||
function (a, b) {
|
||||
a === k ? a = "" : g.isPlainObject(a) && (b = a, a = ""); var b = ab(b), c = this.iterator("table", function (c) {
|
||||
var e = a, f = b, h = c.aoColumns, i = D(h, "sName"), j = D(h, "nTh"); return $a("column", e, function (a) {
|
||||
var b = Qb(a); if (a === "") return W(h.length); if (b !== null) return [b >= 0 ? b : h.length + b]; if (typeof a === "function") { var e = Da(c, f); return g.map(h, function (b, f) { return a(f, Xb(c, f, 0, 0, e), j[f]) ? f : null }) } var k = typeof a === "string" ? a.match(ec) : ""; if (k) switch (k[2]) {
|
||||
case "visIdx": case "visible": b = parseInt(k[1], 10); if (b < 0) {
|
||||
var m =
|
||||
g.map(h, function (a, b) { return a.bVisible ? b : null }); return [m[m.length + b]]
|
||||
} return [la(c, b)]; case "name": return g.map(i, function (a, b) { return a === k[1] ? b : null })
|
||||
} else return g(j).filter(a).map(function () { return g.inArray(this, j) }).toArray()
|
||||
}, c, f)
|
||||
}, 1); c.selector.cols = a; c.selector.opts = b; return c
|
||||
}); s("columns().header()", "column().header()", function () { return this.iterator("column", function (a, b) { return a.aoColumns[b].nTh }, 1) }); s("columns().footer()", "column().footer()", function () {
|
||||
return this.iterator("column",
|
||||
function (a, b) { return a.aoColumns[b].nTf }, 1)
|
||||
}); s("columns().data()", "column().data()", function () { return this.iterator("column-rows", Xb, 1) }); s("columns().dataSrc()", "column().dataSrc()", function () { return this.iterator("column", function (a, b) { return a.aoColumns[b].mData }, 1) }); s("columns().cache()", "column().cache()", function (a) { return this.iterator("column-rows", function (b, c, d, e, f) { return ia(b.aoData, f, "search" === a ? "_aFilterData" : "_aSortData", c) }, 1) }); s("columns().nodes()", "column().nodes()", function () {
|
||||
return this.iterator("column-rows",
|
||||
function (a, b, c, d, e) { return ia(a.aoData, e, "anCells", b) }, 1)
|
||||
}); s("columns().visible()", "column().visible()", function (a, b) {
|
||||
return this.iterator("column", function (c, d) {
|
||||
if (a === k) return c.aoColumns[d].bVisible; var e = c.aoColumns, f = e[d], h = c.aoData, i, j, n; if (a !== k && f.bVisible !== a) {
|
||||
if (a) { var l = g.inArray(!0, D(e, "bVisible"), d + 1); i = 0; for (j = h.length; i < j; i++) n = h[i].nTr, e = h[i].anCells, n && n.insertBefore(e[d], e[l] || null) } else g(D(c.aoData, "anCells", d)).detach(); f.bVisible = a; fa(c, c.aoHeader); fa(c, c.aoFooter); if (b === k ||
|
||||
b) Y(c), (c.oScroll.sX || c.oScroll.sY) && Z(c); w(c, null, "column-visibility", [c, d, a]); ya(c)
|
||||
}
|
||||
})
|
||||
}); s("columns().indexes()", "column().index()", function (a) { return this.iterator("column", function (b, c) { return "visible" === a ? aa(b, c) : c }, 1) }); p("columns.adjust()", function () { return this.iterator("table", function (a) { Y(a) }, 1) }); p("column.index()", function (a, b) { if (0 !== this.context.length) { var c = this.context[0]; if ("fromVisible" === a || "toData" === a) return la(c, b); if ("fromData" === a || "toVisible" === a) return aa(c, b) } }); p("column()",
|
||||
function (a, b) { return bb(this.columns(a, b)) }); p("cells()", function (a, b, c) {
|
||||
g.isPlainObject(a) && (a.row === k ? (c = a, a = null) : (c = b, b = null)); g.isPlainObject(b) && (c = b, b = null); if (null === b || b === k) return this.iterator("table", function (b) {
|
||||
var d = a, e = ab(c), f = b.aoData, h = Da(b, e), i = Tb(ia(f, h, "anCells")), j = g([].concat.apply([], i)), l, n = b.aoColumns.length, m, p, t, s, u, v; return $a("cell", d, function (a) {
|
||||
var c = typeof a === "function"; if (a === null || a === k || c) {
|
||||
m = []; p = 0; for (t = h.length; p < t; p++) {
|
||||
l = h[p]; for (s = 0; s < n; s++) {
|
||||
u = { row: l, column: s };
|
||||
if (c) { v = b.aoData[l]; a(u, y(b, l, s), v.anCells ? v.anCells[s] : null) && m.push(u) } else m.push(u)
|
||||
}
|
||||
} return m
|
||||
} return g.isPlainObject(a) ? [a] : j.filter(a).map(function (a, b) { l = b.parentNode._DT_RowIndex; return { row: l, column: g.inArray(b, f[l].anCells) } }).toArray()
|
||||
}, b, e)
|
||||
}); var d = this.columns(b, c), e = this.rows(a, c), f, h, i, j, n, l = this.iterator("table", function (a, b) { f = []; h = 0; for (i = e[b].length; h < i; h++) { j = 0; for (n = d[b].length; j < n; j++) f.push({ row: e[b][h], column: d[b][j] }) } return f }, 1); g.extend(l.selector, { cols: b, rows: a, opts: c });
|
||||
return l
|
||||
}); s("cells().nodes()", "cell().node()", function () { return this.iterator("cell", function (a, b, c) { return (a = a.aoData[b].anCells) ? a[c] : k }, 1) }); p("cells().data()", function () { return this.iterator("cell", function (a, b, c) { return y(a, b, c) }, 1) }); s("cells().cache()", "cell().cache()", function (a) { a = "search" === a ? "_aFilterData" : "_aSortData"; return this.iterator("cell", function (b, c, d) { return b.aoData[c][a][d] }, 1) }); s("cells().render()", "cell().render()", function (a) {
|
||||
return this.iterator("cell", function (b, c, d) {
|
||||
return y(b,
|
||||
c, d, a)
|
||||
}, 1)
|
||||
}); s("cells().indexes()", "cell().index()", function () { return this.iterator("cell", function (a, b, c) { return { row: b, column: c, columnVisible: aa(a, c) } }, 1) }); s("cells().invalidate()", "cell().invalidate()", function (a) { return this.iterator("cell", function (b, c, d) { da(b, c, a, d) }) }); p("cell()", function (a, b, c) { return bb(this.cells(a, b, c)) }); p("cell().data()", function (a) {
|
||||
var b = this.context, c = this[0]; if (a === k) return b.length && c.length ? y(b[0], c[0].row, c[0].column) : k; Ja(b[0], c[0].row, c[0].column, a); da(b[0], c[0].row,
|
||||
"data", c[0].column); return this
|
||||
}); p("order()", function (a, b) { var c = this.context; if (a === k) return 0 !== c.length ? c[0].aaSorting : k; "number" === typeof a ? a = [[a, b]] : g.isArray(a[0]) || (a = Array.prototype.slice.call(arguments)); return this.iterator("table", function (b) { b.aaSorting = a.slice() }) }); p("order.listener()", function (a, b, c) { return this.iterator("table", function (d) { Pa(d, a, b, c) }) }); p(["columns().order()", "column().order()"], function (a) {
|
||||
var b = this; return this.iterator("table", function (c, d) {
|
||||
var e = []; g.each(b[d],
|
||||
function (b, c) { e.push([c, a]) }); c.aaSorting = e
|
||||
})
|
||||
}); p("search()", function (a, b, c, d) { var e = this.context; return a === k ? 0 !== e.length ? e[0].oPreviousSearch.sSearch : k : this.iterator("table", function (e) { e.oFeatures.bFilter && ga(e, g.extend({}, e.oPreviousSearch, { sSearch: a + "", bRegex: null === b ? !1 : b, bSmart: null === c ? !0 : c, bCaseInsensitive: null === d ? !0 : d }), 1) }) }); s("columns().search()", "column().search()", function (a, b, c, d) {
|
||||
return this.iterator("column", function (e, f) {
|
||||
var h = e.aoPreSearchCols; if (a === k) return h[f].sSearch; e.oFeatures.bFilter &&
|
||||
(g.extend(h[f], { sSearch: a + "", bRegex: null === b ? !1 : b, bSmart: null === c ? !0 : c, bCaseInsensitive: null === d ? !0 : d }), ga(e, e.oPreviousSearch, 1))
|
||||
})
|
||||
}); p("state()", function () { return this.context.length ? this.context[0].oSavedState : null }); p("state.clear()", function () { return this.iterator("table", function (a) { a.fnStateSaveCallback.call(a.oInstance, a, {}) }) }); p("state.loaded()", function () { return this.context.length ? this.context[0].oLoadedState : null }); p("state.save()", function () { return this.iterator("table", function (a) { ya(a) }) });
|
||||
m.versionCheck = m.fnVersionCheck = function (a) { for (var b = m.version.split("."), a = a.split("."), c, d, e = 0, f = a.length; e < f; e++) if (c = parseInt(b[e], 10) || 0, d = parseInt(a[e], 10) || 0, c !== d) return c > d; return !0 }; m.isDataTable = m.fnIsDataTable = function (a) { var b = g(a).get(0), c = !1; g.each(m.settings, function (a, e) { var f = e.nScrollHead ? g("table", e.nScrollHead)[0] : null, h = e.nScrollFoot ? g("table", e.nScrollFoot)[0] : null; if (e.nTable === b || f === b || h === b) c = !0 }); return c }; m.tables = m.fnTables = function (a) {
|
||||
var b = !1; g.isPlainObject(a) && (b =
|
||||
a.api, a = a.visible); var c = g.map(m.settings, function (b) { if (!a || a && g(b.nTable).is(":visible")) return b.nTable }); return b ? new t(c) : c
|
||||
}; m.util = { throttle: ua, escapeRegex: va }; m.camelToHungarian = I; p("$()", function (a, b) { var c = this.rows(b).nodes(), c = g(c); return g([].concat(c.filter(a).toArray(), c.find(a).toArray())) }); g.each(["on", "one", "off"], function (a, b) { p(b + "()", function () { var a = Array.prototype.slice.call(arguments); a[0].match(/\.dt\b/) || (a[0] += ".dt"); var d = g(this.tables().nodes()); d[b].apply(d, a); return this }) });
|
||||
p("clear()", function () { return this.iterator("table", function (a) { oa(a) }) }); p("settings()", function () { return new t(this.context, this.context) }); p("init()", function () { var a = this.context; return a.length ? a[0].oInit : null }); p("data()", function () { return this.iterator("table", function (a) { return D(a.aoData, "_aData") }).flatten() }); p("destroy()", function (a) {
|
||||
a = a || !1; return this.iterator("table", function (b) {
|
||||
var c = b.nTableWrapper.parentNode, d = b.oClasses, e = b.nTable, f = b.nTBody, h = b.nTHead, i = b.nTFoot, j = g(e), f = g(f),
|
||||
k = g(b.nTableWrapper), l = g.map(b.aoData, function (a) { return a.nTr }), p; b.bDestroying = !0; w(b, "aoDestroyCallback", "destroy", [b]); a || (new t(b)).columns().visible(!0); k.unbind(".DT").find(":not(tbody *)").unbind(".DT"); g(Fa).unbind(".DT-" + b.sInstance); e != h.parentNode && (j.children("thead").detach(), j.append(h)); i && e != i.parentNode && (j.children("tfoot").detach(), j.append(i)); b.aaSorting = []; b.aaSortingFixed = []; xa(b); g(l).removeClass(b.asStripeClasses.join(" ")); g("th, td", h).removeClass(d.sSortable + " " + d.sSortableAsc +
|
||||
" " + d.sSortableDesc + " " + d.sSortableNone); b.bJUI && (g("th span." + d.sSortIcon + ", td span." + d.sSortIcon, h).detach(), g("th, td", h).each(function () { var a = g("div." + d.sSortJUIWrapper, this); g(this).append(a.contents()); a.detach() })); f.children().detach(); f.append(l); h = a ? "remove" : "detach"; j[h](); k[h](); !a && c && (c.insertBefore(e, b.nTableReinsertBefore), j.css("width", b.sDestroyWidth).removeClass(d.sTable), (p = b.asDestroyStripes.length) && f.children().each(function (a) { g(this).addClass(b.asDestroyStripes[a % p]) }));
|
||||
c = g.inArray(b, m.settings); -1 !== c && m.settings.splice(c, 1)
|
||||
})
|
||||
}); g.each(["column", "row", "cell"], function (a, b) { p(b + "s().every()", function (a) { return this.iterator(b, function (d, e, f, g, i) { a.call((new t(d))[b](e, "cell" === b ? f : k), e, f, g, i) }) }) }); p("i18n()", function (a, b, c) { var d = this.context[0], a = P(a)(d.oLanguage); a === k && (a = b); c !== k && g.isPlainObject(a) && (a = a[c] !== k ? a[c] : a._); return a.replace("%d", c) }); m.version = "1.10.8"; m.settings = []; m.models = {}; m.models.oSearch = { bCaseInsensitive: !0, sSearch: "", bRegex: !1, bSmart: !0 };
|
||||
m.models.oRow = { nTr: null, anCells: null, _aData: [], _aSortData: null, _aFilterData: null, _sFilterRow: null, _sRowStripe: "", src: null, idx: -1 }; m.models.oColumn = {
|
||||
idx: null, aDataSort: null, asSorting: null, bSearchable: null, bSortable: null, bVisible: null, _sManualType: null, _bAttrSrc: !1, fnCreatedCell: null, fnGetData: null, fnSetData: null, mData: null, mRender: null, nTh: null, nTf: null, sClass: null, sContentPadding: null, sDefaultContent: null, sName: null, sSortDataType: "std", sSortingClass: null, sSortingClassJUI: null, sTitle: null, sType: null,
|
||||
sWidth: null, sWidthOrig: null
|
||||
}; m.defaults = {
|
||||
aaData: null, aaSorting: [[0, "asc"]], aaSortingFixed: [], ajax: null, aLengthMenu: [10, 25, 50, 100], aoColumns: null, aoColumnDefs: null, aoSearchCols: [], asStripeClasses: null, bAutoWidth: !0, bDeferRender: !1, bDestroy: !1, bFilter: !0, bInfo: !0, bJQueryUI: !1, bLengthChange: !0, bPaginate: !0, bProcessing: !1, bRetrieve: !1, bScrollCollapse: !1, bServerSide: !1, bSort: !0, bSortMulti: !0, bSortCellsTop: !1, bSortClasses: !0, bStateSave: !1, fnCreatedRow: null, fnDrawCallback: null, fnFooterCallback: null, fnFormatNumber: function (a) {
|
||||
return a.toString().replace(/\B(?=(\d{3})+(?!\d))/g,
|
||||
this.oLanguage.sThousands)
|
||||
}, fnHeaderCallback: null, fnInfoCallback: null, fnInitComplete: null, fnPreDrawCallback: null, fnRowCallback: null, fnServerData: null, fnServerParams: null, fnStateLoadCallback: function (a) { try { return JSON.parse((-1 === a.iStateDuration ? sessionStorage : localStorage).getItem("DataTables_" + a.sInstance + "_" + location.pathname)) } catch (b) { } }, fnStateLoadParams: null, fnStateLoaded: null, fnStateSaveCallback: function (a, b) {
|
||||
try {
|
||||
(-1 === a.iStateDuration ? sessionStorage : localStorage).setItem("DataTables_" + a.sInstance +
|
||||
"_" + location.pathname, JSON.stringify(b))
|
||||
} catch (c) { }
|
||||
}, fnStateSaveParams: null, iStateDuration: 7200, iDeferLoading: null, iDisplayLength: 10, iDisplayStart: 0, iTabIndex: 0, oClasses: {}, oLanguage: {
|
||||
oAria: { sSortAscending: ": activate to sort column ascending", sSortDescending: ": activate to sort column descending" }, oPaginate: { sFirst: "First", sLast: "Last", sNext: "Next", sPrevious: "Previous" }, sEmptyTable: "No data available in table", sInfo: "Showing _START_ to _END_ of _TOTAL_ entries", sInfoEmpty: "Showing 0 to 0 of 0 entries",
|
||||
sInfoFiltered: "(filtered from _MAX_ total entries)", sInfoPostFix: "", sDecimal: "", sThousands: ",", sLengthMenu: "Show _MENU_ entries", sLoadingRecords: "Loading...", sProcessing: "Processing...", sSearch: "Search:", sSearchPlaceholder: "", sUrl: "", sZeroRecords: "No matching records found"
|
||||
}, oSearch: g.extend({}, m.models.oSearch), sAjaxDataProp: "data", sAjaxSource: null, sDom: "lfrtip", searchDelay: null, sPaginationType: "simple_numbers", sScrollX: "", sScrollXInner: "", sScrollY: "", sServerMethod: "GET", renderer: null, rowId: "DT_RowId"
|
||||
};
|
||||
X(m.defaults); m.defaults.column = { aDataSort: null, iDataSort: -1, asSorting: ["asc", "desc"], bSearchable: !0, bSortable: !0, bVisible: !0, fnCreatedCell: null, mData: null, mRender: null, sCellType: "td", sClass: "", sContentPadding: "", sDefaultContent: null, sName: "", sSortDataType: "std", sTitle: null, sType: null, sWidth: null }; X(m.defaults.column); m.models.oSettings = {
|
||||
oFeatures: {
|
||||
bAutoWidth: null, bDeferRender: null, bFilter: null, bInfo: null, bLengthChange: null, bPaginate: null, bProcessing: null, bServerSide: null, bSort: null, bSortMulti: null,
|
||||
bSortClasses: null, bStateSave: null
|
||||
}, oScroll: { bCollapse: null, iBarWidth: 0, sX: null, sXInner: null, sY: null }, oLanguage: { fnInfoCallback: null }, oBrowser: { bScrollOversize: !1, bScrollbarLeft: !1, bBounding: !1 }, ajax: null, aanFeatures: [], aoData: [], aiDisplay: [], aiDisplayMaster: [], aIds: {}, aoColumns: [], aoHeader: [], aoFooter: [], oPreviousSearch: {}, aoPreSearchCols: [], aaSorting: null, aaSortingFixed: [], asStripeClasses: null, asDestroyStripes: [], sDestroyWidth: 0, aoRowCallback: [], aoHeaderCallback: [], aoFooterCallback: [], aoDrawCallback: [],
|
||||
aoRowCreatedCallback: [], aoPreDrawCallback: [], aoInitComplete: [], aoStateSaveParams: [], aoStateLoadParams: [], aoStateLoaded: [], sTableId: "", nTable: null, nTHead: null, nTFoot: null, nTBody: null, nTableWrapper: null, bDeferLoading: !1, bInitialised: !1, aoOpenRows: [], sDom: null, searchDelay: null, sPaginationType: "two_button", iStateDuration: 0, aoStateSave: [], aoStateLoad: [], oSavedState: null, oLoadedState: null, sAjaxSource: null, sAjaxDataProp: null, bAjaxDataGet: !0, jqXHR: null, json: k, oAjaxData: k, fnServerData: null, aoServerParams: [],
|
||||
sServerMethod: null, fnFormatNumber: null, aLengthMenu: null, iDraw: 0, bDrawing: !1, iDrawError: -1, _iDisplayLength: 10, _iDisplayStart: 0, _iRecordsTotal: 0, _iRecordsDisplay: 0, bJUI: null, oClasses: {}, bFiltered: !1, bSorted: !1, bSortCellsTop: null, oInit: null, aoDestroyCallback: [], fnRecordsTotal: function () { return "ssp" == z(this) ? 1 * this._iRecordsTotal : this.aiDisplayMaster.length }, fnRecordsDisplay: function () { return "ssp" == z(this) ? 1 * this._iRecordsDisplay : this.aiDisplay.length }, fnDisplayEnd: function () {
|
||||
var a = this._iDisplayLength,
|
||||
b = this._iDisplayStart, c = b + a, d = this.aiDisplay.length, e = this.oFeatures, f = e.bPaginate; return e.bServerSide ? !1 === f || -1 === a ? b + d : Math.min(b + a, this._iRecordsDisplay) : !f || c > d || -1 === a ? d : c
|
||||
}, oInstance: null, sInstance: null, iTabIndex: 0, nScrollHead: null, nScrollFoot: null, aLastSort: [], oPlugins: {}, rowIdFn: null, rowId: null
|
||||
}; m.ext = v = {
|
||||
buttons: {}, classes: {}, errMode: "alert", feature: [], search: [], selector: { cell: [], column: [], row: [] }, internal: {}, legacy: { ajax: null }, pager: {}, renderer: { pageButton: {}, header: {} }, order: {}, type: {
|
||||
detect: [],
|
||||
search: {}, order: {}
|
||||
}, _unique: 0, fnVersionCheck: m.fnVersionCheck, iApiIndex: 0, oJUIClasses: {}, sVersion: m.version
|
||||
}; g.extend(v, { afnFiltering: v.search, aTypes: v.type.detect, ofnSearch: v.type.search, oSort: v.type.order, afnSortData: v.order, aoFeatures: v.feature, oApi: v.internal, oStdClasses: v.classes, oPagination: v.pager }); g.extend(m.ext.classes, {
|
||||
sTable: "dataTable", sNoFooter: "no-footer", sPageButton: "paginate_button", sPageButtonActive: "current", sPageButtonDisabled: "disabled", sStripeOdd: "odd", sStripeEven: "even", sRowEmpty: "dataTables_empty",
|
||||
sWrapper: "dataTables_wrapper", sFilter: "dataTables_filter", sInfo: "dataTables_info", sPaging: "dataTables_paginate paging_", sLength: "dataTables_length", sProcessing: "dataTables_processing", sSortAsc: "sorting_asc", sSortDesc: "sorting_desc", sSortable: "sorting", sSortableAsc: "sorting_asc_disabled", sSortableDesc: "sorting_desc_disabled", sSortableNone: "sorting_disabled", sSortColumn: "sorting_", sFilterInput: "", sLengthSelect: "", sScrollWrapper: "dataTables_scroll", sScrollHead: "dataTables_scrollHead", sScrollHeadInner: "dataTables_scrollHeadInner",
|
||||
sScrollBody: "dataTables_scrollBody", sScrollFoot: "dataTables_scrollFoot", sScrollFootInner: "dataTables_scrollFootInner", sHeaderTH: "", sFooterTH: "", sSortJUIAsc: "", sSortJUIDesc: "", sSortJUI: "", sSortJUIAscAllowed: "", sSortJUIDescAllowed: "", sSortJUIWrapper: "", sSortIcon: "", sJUIHeader: "", sJUIFooter: ""
|
||||
}); var Ea = "", Ea = "", G = Ea + "ui-state-default", ja = Ea + "css_right ui-icon ui-icon-", Yb = Ea + "fg-toolbar ui-toolbar ui-widget-header ui-helper-clearfix"; g.extend(m.ext.oJUIClasses, m.ext.classes, {
|
||||
sPageButton: "fg-button ui-button " +
|
||||
G, sPageButtonActive: "ui-state-disabled", sPageButtonDisabled: "ui-state-disabled", sPaging: "dataTables_paginate fg-buttonset ui-buttonset fg-buttonset-multi ui-buttonset-multi paging_", sSortAsc: G + " sorting_asc", sSortDesc: G + " sorting_desc", sSortable: G + " sorting", sSortableAsc: G + " sorting_asc_disabled", sSortableDesc: G + " sorting_desc_disabled", sSortableNone: G + " sorting_disabled", sSortJUIAsc: ja + "triangle-1-n", sSortJUIDesc: ja + "triangle-1-s", sSortJUI: ja + "carat-2-n-s", sSortJUIAscAllowed: ja + "carat-1-n", sSortJUIDescAllowed: ja +
|
||||
"carat-1-s", sSortJUIWrapper: "DataTables_sort_wrapper", sSortIcon: "DataTables_sort_icon", sScrollHead: "dataTables_scrollHead " + G, sScrollFoot: "dataTables_scrollFoot " + G, sHeaderTH: G, sFooterTH: G, sJUIHeader: Yb + " ui-corner-tl ui-corner-tr", sJUIFooter: Yb + " ui-corner-bl ui-corner-br"
|
||||
}); var Nb = m.ext.pager; g.extend(Nb, {
|
||||
simple: function () { return ["previous", "next"] }, full: function () { return ["first", "previous", "next", "last"] }, numbers: function (a, b) { return [Aa(a, b)] }, simple_numbers: function (a, b) {
|
||||
return ["previous", Aa(a,
|
||||
b), "next"]
|
||||
}, full_numbers: function (a, b) { return ["first", "previous", Aa(a, b), "next", "last"] }, _numbers: Aa, numbers_length: 7
|
||||
}); g.extend(!0, m.ext.renderer, {
|
||||
pageButton: {
|
||||
_: function (a, b, c, d, e, f) {
|
||||
var h = a.oClasses, i = a.oLanguage.oPaginate, j, k, l = 0, m = function (b, d) {
|
||||
var p, q, t, s, u = function (b) { Ua(a, b.data.action, true) }; p = 0; for (q = d.length; p < q; p++) {
|
||||
s = d[p]; if (g.isArray(s)) { t = g("<" + (s.DT_el || "div") + "/>").appendTo(b); m(t, s) } else {
|
||||
j = null; k = ""; switch (s) {
|
||||
case "ellipsis": b.append('<span class="ellipsis">…</span>'); break;
|
||||
case "first": j = i.sFirst; k = s + (e > 0 ? "" : " " + h.sPageButtonDisabled); break; case "previous": j = i.sPrevious; k = s + (e > 0 ? "" : " " + h.sPageButtonDisabled); break; case "next": j = i.sNext; k = s + (e < f - 1 ? "" : " " + h.sPageButtonDisabled); break; case "last": j = i.sLast; k = s + (e < f - 1 ? "" : " " + h.sPageButtonDisabled); break; default: j = s + 1; k = e === s ? h.sPageButtonActive : ""
|
||||
} if (j !== null) {
|
||||
t = g("<a>", { "class": h.sPageButton + " " + k, "aria-controls": a.sTableId, "data-dt-idx": l, tabindex: a.iTabIndex, id: c === 0 && typeof s === "string" ? a.sTableId + "_" + s : null }).html(j).appendTo(b);
|
||||
Wa(t, { action: s }, u); l++
|
||||
}
|
||||
}
|
||||
}
|
||||
}, p; try { p = g(b).find(T.activeElement).data("dt-idx") } catch (t) { } m(g(b).empty(), d); p && g(b).find("[data-dt-idx=" + p + "]").focus()
|
||||
}
|
||||
}
|
||||
}); g.extend(m.ext.type.detect, [function (a, b) { var c = b.oLanguage.sDecimal; return Za(a, c) ? "num" + c : null }, function (a) { if (a && !(a instanceof Date) && (!bc.test(a) || !cc.test(a))) return null; var b = Date.parse(a); return null !== b && !isNaN(b) || K(a) ? "date" : null }, function (a, b) { var c = b.oLanguage.sDecimal; return Za(a, c, !0) ? "num-fmt" + c : null }, function (a, b) {
|
||||
var c = b.oLanguage.sDecimal;
|
||||
return Sb(a, c) ? "html-num" + c : null
|
||||
}, function (a, b) { var c = b.oLanguage.sDecimal; return Sb(a, c, !0) ? "html-num-fmt" + c : null }, function (a) { return K(a) || "string" === typeof a && -1 !== a.indexOf("<") ? "html" : null }]); g.extend(m.ext.type.search, { html: function (a) { return K(a) ? a : "string" === typeof a ? a.replace(Pb, " ").replace(Ca, "") : "" }, string: function (a) { return K(a) ? a : "string" === typeof a ? a.replace(Pb, " ") : a } }); var Ba = function (a, b, c, d) {
|
||||
if (0 !== a && (!a || "-" === a)) return -Infinity; b && (a = Rb(a, b)); a.replace && (c && (a = a.replace(c, "")),
|
||||
d && (a = a.replace(d, ""))); return 1 * a
|
||||
}; g.extend(v.type.order, { "date-pre": function (a) { return Date.parse(a) || 0 }, "html-pre": function (a) { return K(a) ? "" : a.replace ? a.replace(/<.*?>/g, "").toLowerCase() : a + "" }, "string-pre": function (a) { return K(a) ? "" : "string" === typeof a ? a.toLowerCase() : !a.toString ? "" : a.toString() }, "string-asc": function (a, b) { return a < b ? -1 : a > b ? 1 : 0 }, "string-desc": function (a, b) { return a < b ? 1 : a > b ? -1 : 0 } }); db(""); g.extend(!0, m.ext.renderer, {
|
||||
header: {
|
||||
_: function (a, b, c, d) {
|
||||
g(a.nTable).on("order.dt.DT", function (e,
|
||||
f, g, i) { if (a === f) { e = c.idx; b.removeClass(c.sSortingClass + " " + d.sSortAsc + " " + d.sSortDesc).addClass(i[e] == "asc" ? d.sSortAsc : i[e] == "desc" ? d.sSortDesc : c.sSortingClass) } })
|
||||
}, jqueryui: function (a, b, c, d) {
|
||||
g("<div/>").addClass(d.sSortJUIWrapper).append(b.contents()).append(g("<span/>").addClass(d.sSortIcon + " " + c.sSortingClassJUI)).appendTo(b); g(a.nTable).on("order.dt.DT", function (e, f, g, i) {
|
||||
if (a === f) {
|
||||
e = c.idx; b.removeClass(d.sSortAsc + " " + d.sSortDesc).addClass(i[e] == "asc" ? d.sSortAsc : i[e] == "desc" ? d.sSortDesc : c.sSortingClass);
|
||||
b.find("span." + d.sSortIcon).removeClass(d.sSortJUIAsc + " " + d.sSortJUIDesc + " " + d.sSortJUI + " " + d.sSortJUIAscAllowed + " " + d.sSortJUIDescAllowed).addClass(i[e] == "asc" ? d.sSortJUIAsc : i[e] == "desc" ? d.sSortJUIDesc : c.sSortingClassJUI)
|
||||
}
|
||||
})
|
||||
}
|
||||
}
|
||||
}); m.render = {
|
||||
number: function (a, b, c, d, e) {
|
||||
return {
|
||||
display: function (f) {
|
||||
if ("number" !== typeof f && "string" !== typeof f) return f; var g = 0 > f ? "-" : "", f = Math.abs(parseFloat(f)), i = parseInt(f, 10), f = c ? b + (f - i).toFixed(c).substring(2) : ""; return g + (d || "") + i.toString().replace(/\B(?=(\d{3})+(?!\d))/g,
|
||||
a) + f + (e || "")
|
||||
}
|
||||
}
|
||||
}
|
||||
}; g.extend(m.ext.internal, {
|
||||
_fnExternApiFunc: Ob, _fnBuildAjax: ra, _fnAjaxUpdate: lb, _fnAjaxParameters: ub, _fnAjaxUpdateDraw: vb, _fnAjaxDataSrc: sa, _fnAddColumn: Ga, _fnColumnOptions: ka, _fnAdjustColumnSizing: Y, _fnVisibleToColumnIndex: la, _fnColumnIndexToVisible: aa, _fnVisbleColumns: ba, _fnGetColumns: $, _fnColumnTypes: Ia, _fnApplyColumnDefs: ib, _fnHungarianMap: X, _fnCamelToHungarian: I, _fnLanguageCompat: S, _fnBrowserDetect: gb, _fnAddData: L, _fnAddTr: ma, _fnNodeToDataIndex: function (a, b) {
|
||||
return b._DT_RowIndex !==
|
||||
k ? b._DT_RowIndex : null
|
||||
}, _fnNodeToColumnIndex: function (a, b, c) { return g.inArray(c, a.aoData[b].anCells) }, _fnGetCellData: y, _fnSetCellData: Ja, _fnSplitObjNotation: La, _fnGetObjectDataFn: P, _fnSetObjectDataFn: Q, _fnGetDataMaster: Ma, _fnClearTable: oa, _fnDeleteIndex: pa, _fnInvalidate: da, _fnGetRowElements: na, _fnCreateTr: Ka, _fnBuildHead: kb, _fnDrawHead: fa, _fnDraw: M, _fnReDraw: R, _fnAddOptionsHtml: nb, _fnDetectHeader: ea, _fnGetUniqueThs: qa, _fnFeatureHtmlFilter: pb, _fnFilterComplete: ga, _fnFilterCustom: yb, _fnFilterColumn: xb,
|
||||
_fnFilter: wb, _fnFilterCreateSearch: Ra, _fnEscapeRegex: va, _fnFilterData: zb, _fnFeatureHtmlInfo: sb, _fnUpdateInfo: Cb, _fnInfoMacros: Db, _fnInitialise: ha, _fnInitComplete: ta, _fnLengthChange: Sa, _fnFeatureHtmlLength: ob, _fnFeatureHtmlPaginate: tb, _fnPageChange: Ua, _fnFeatureHtmlProcessing: qb, _fnProcessingDisplay: C, _fnFeatureHtmlTable: rb, _fnScrollDraw: Z, _fnApplyToChildren: H, _fnCalculateColumnWidths: Ha, _fnThrottle: ua, _fnConvertToWidth: Fb, _fnGetWidestNode: Gb, _fnGetMaxLenString: Hb, _fnStringToCss: u, _fnScrollBarWidth: Ib,
|
||||
_fnSortFlatten: V, _fnSort: mb, _fnSortAria: Kb, _fnSortListener: Va, _fnSortAttachListener: Pa, _fnSortingClasses: xa, _fnSortData: Jb, _fnSaveState: ya, _fnLoadState: Lb, _fnSettingsFromNode: za, _fnLog: J, _fnMap: F, _fnBindAction: Wa, _fnCallbackReg: A, _fnCallbackFire: w, _fnLengthOverflow: Ta, _fnRenderer: Qa, _fnDataSource: z, _fnRowAttributes: Na, _fnCalculateEnd: function () { }
|
||||
}); g.fn.dataTable = m; g.fn.dataTableSettings = m.settings; g.fn.dataTableExt = m.ext; g.fn.DataTable = function (a) { return g(this).dataTable(a).api() }; g.each(m, function (a,
|
||||
b) { g.fn.DataTable[a] = b }); return g.fn.dataTable
|
||||
}; "function" === typeof define && define.amd ? define("datatables", ["jquery"], S) : "object" === typeof exports ? module.exports = S(require("jquery")) : jQuery && !jQuery.fn.dataTable && S(jQuery)
|
||||
})(window, document);
|
||||
+10
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user