public NOMIS2011Census()
{
//define field names on NOMIS website catalogue page that we require for processing
//TitleField = "Description";
//LinkField = "oaurl";
//TagsField = "";
//DescriptionField = ""; //doesn't exist
CSVCatalogue reader = new CSVCatalogue();
this.Catalogue = reader.ReadCatalogue(Path.Combine(DataRootDir, CatalogueFile));
//FileFilterOptions = new FileFilter(FileFilterEnum.Top, "");
FileFilterOptions = new FileFilter(FileFilterEnum.Pattern, "DATA.CSV"); //had to change this to prevent returning CODE0.CSV file instead
//add weights for geometry to favour 2011 datasets over the older ones
SetGeometryHint("OA_2011", 2.0f); SetGeometryHint("OA", 0.1f);
SetGeometryHint("LSOA_2011", 2.0f); SetGeometryHint("LSOA", 0.1f);
SetGeometryHint("MSOA_2011", 2.0f); SetGeometryHint("MSOA", 0.1f);
//then create a schema to describe what the columns are
Schema = new DatastoreSchema();
Schema.AddField("TableName", SemanticFieldType.UniqueKey);
Schema.AddField("Description", SemanticFieldType.Title);
Schema.AddField("oaurl", SemanticFieldType.Link); //there are two links to data here - oa/lsoa/msoa or wards (below)
//Schema.AddField("wardurl", SemanticFieldType.Link);
//Now build a table of description text for every variable using the variables file.
//This is a quick lookup between variable code and plain text which is used for writing out data file. This is
//duplicated in the data table loading below.
//VariableNameDescriptionText = new Dictionary<string, string>();
//using (TextReader varsFile = File.OpenText(Path.Combine(DataRootDir, VariablesFile)))
//{
// string Line = varsFile.ReadLine(); //skip header
// while ((Line = varsFile.ReadLine()) != null)
// {
// string[] Fields = CSVCatalogue.ParseCSVLine(Line); //need to do this for the quoted final column
// //ColumnVariableCode,ColumnVariableMeasurementUnit,ColumnVariableStatisticalUnit,ColumnVariableDescription
// //KS101EW0001,Count,Person,All categories: Sex
// //KS101EW0002,Count,Person,Males
// VariableNameDescriptionText.Add(Fields[0], Fields[3]);
// }
// varsFile.Close();
//}
//This is a full DataTable containing all the data about each individual variable from the variable lookup:
//ColumnVariableCode,ColumnVariableMeasurementUnit,ColumnVariableStatisticalUnit,ColumnVariableDescription
//KS101EW0001,Count,Person,All categories: Sex
//KS101EW0002,Count,Person,Males
//Used for the short and long description text.
CSVCatalogue VarCatalogue = new CSVCatalogue();
VariableMetaData = VarCatalogue.ReadCatalogue(Path.Combine(DataRootDir, VariablesFile));
VariableMetaData.PrimaryKey = new DataColumn[] { VariableMetaData.Columns["ColumnVariableCode"] };
}
/// <summary>
/// Most of this code comes from AnalyseCorrelationData, but it returns a mapping between the dataset index and a plain text name containing the dataset table and variable
/// </summary>
/// <returns></returns>
public Dictionary <int, string> GetDescriptionForIndex()
{
Dictionary <int, string> Result = new Dictionary <int, string>();
//load mapping between unique dataset field code and plain text description into hash
Dictionary <string, string> variables = new Dictionary <string, string>();
using (TextReader varsFile = File.OpenText(Path.Combine(DataRootDir, "NOMIS2011Variables.txt")))
{
string Line = varsFile.ReadLine(); //skip header
while ((Line = varsFile.ReadLine()) != null)
{
string[] Fields = CSVCatalogue.ParseCSVLine(Line); //need to do this for the quoted final column
//ColumnVariableCode,ColumnVariableMeasurementUnit,ColumnVariableStatisticalUnit,ColumnVariableDescription
//KS101EW0001,Count,Person,All categories: Sex
//KS101EW0002,Count,Person,Males
variables.Add(Fields[0], Fields[3]);
}
varsFile.Close();
}
//load mapping between major/minor index and the unique column code
//I'm not actually using the two index dictionaries, but keep it in anyway
Dictionary <string, string> indexToFieldName = new Dictionary <string, string>();
Dictionary <string, string> indexToTableName = new Dictionary <string, string>();
using (TextReader mapIndexFile = File.OpenText(Path.Combine(ImageDirectory, "mapindex.csv")))
{
string Line = mapIndexFile.ReadLine(); //skip header
int index = 0;
while ((Line = mapIndexFile.ReadLine()) != null)
{
//major_index,minor_index,data_uri,uniquekey,title,column
//0,0,"file:///c:/richard/wxtemp/Datastores/ks101ew_2011_oa/ks101ew_2011oa/KS101EWDATA_LSOA.csv","KS101EW","Usual Resident Population","KS101EW0001"
string[] Fields = CSVCatalogue.ParseCSVLine(Line);
indexToFieldName.Add(Fields[0] + "-" + Fields[1], Fields[5]);
indexToTableName.Add(Fields[0] + "-" + Fields[1], Fields[4]);
//Result.Add(Fields[0] + "-" + Fields[1], Fields[5] + " " + Fields[4]);
Result.Add(index, Fields[5] + " " + Fields[4] + " " + variables[Fields[5]]);
++index;
}
mapIndexFile.Close();
}
return(Result);
}
//constructor?
public LondonDatastore()
{
//define field names in LondonDatastore data that we require for processing
//TitleField = "TITLE";
//LinkField = "CSV_URL";
//TagsField = "";
//DescriptionField = "LONGDESC";
CSVCatalogue reader = new CSVCatalogue();
this.Catalogue = reader.ReadCatalogue(Path.Combine(DataRootDir, CatalogueFile));
//then create a schema to describe what the columns are
//define field names in LondonDatastore data that we require for processing
Schema = new DatastoreSchema();
Schema.AddField("TITLE", SemanticFieldType.Title);
Schema.AddField("LONGDESC", SemanticFieldType.Description);
Schema.AddField("CSV_URL", SemanticFieldType.Link);
}
/// <summary>
/// Load the NOMIS variables file, mapindex.csv file and imatch-sorted.csv file and write out plain text descriptions of everything that we think matches.
/// TODO: need some sort of datastore neutral way of doing this for everything, not just NOMIS
/// </summary>
public void AnalyseCorrelationData()
{
//load mapping between unique dataset field code and plain text description into hash
Dictionary <string, string> variables = new Dictionary <string, string>();
using (TextReader varsFile = File.OpenText(Path.Combine(DataRootDir, "NOMIS2011Variables.txt")))
{
string Line = varsFile.ReadLine(); //skip header
while ((Line = varsFile.ReadLine()) != null)
{
string[] Fields = CSVCatalogue.ParseCSVLine(Line); //need to do this for the quoted final column
//ColumnVariableCode,ColumnVariableMeasurementUnit,ColumnVariableStatisticalUnit,ColumnVariableDescription
//KS101EW0001,Count,Person,All categories: Sex
//KS101EW0002,Count,Person,Males
variables.Add(Fields[0], Fields[3]);
}
varsFile.Close();
}
//load mapping between major/minor index and the unique column code
Dictionary <string, string> indexToFieldName = new Dictionary <string, string>();
Dictionary <string, string> indexToTableName = new Dictionary <string, string>();
using (TextReader mapIndexFile = File.OpenText(Path.Combine(ImageDirectory, "mapindex.csv")))
{
string Line = mapIndexFile.ReadLine(); //skip header
while ((Line = mapIndexFile.ReadLine()) != null)
{
//major_index,minor_index,data_uri,uniquekey,title,column
//0,0,"file:///c:/richard/wxtemp/Datastores/ks101ew_2011_oa/ks101ew_2011oa/KS101EWDATA_LSOA.csv","KS101EW","Usual Resident Population","KS101EW0001"
string[] Fields = CSVCatalogue.ParseCSVLine(Line);
indexToFieldName.Add(Fields[0] + "-" + Fields[1], Fields[5]);
indexToTableName.Add(Fields[0] + "-" + Fields[1], Fields[4]);
}
mapIndexFile.Close();
}
//now read the data and write out plain text descriptions of the matches that are found
using (TextReader matchFile = File.OpenText(Path.Combine(ImageDirectory, "GreenMatch\\imatch-sorted.csv")))
{
//imajor, iminor, jmajor, jminor, value (would have i,j and two filenames, but had to remove them as the csvfix sort required too much memory)
//0,1,10,1,5.90647686550526
string Line = "";
while ((Line = matchFile.ReadLine()) != null)
{
string[] Fields = CSVCatalogue.ParseCSVLine(Line);
//int imajor = Convert.ToInt32(Fields[0]);
//int iminor = Convert.ToInt32(Fields[1]);
//int jmajor = Convert.ToInt32(Fields[2]);
//int jminor = Convert.ToInt32(Fields[3]);
float value = Convert.ToSingle(Fields[4]);
if (value > 20.0f)
{
break; //it's a sorted list and 20 is just about on the first knee of the curve
}
string I = Fields[0] + "-" + Fields[1];
string J = Fields[2] + "-" + Fields[3];
if (I != J) //filter out everything matching itself
{
string ITable = indexToTableName[I]; //get the names of the tables where the data comes from using the major/minor indexes
string JTable = indexToTableName[J];
string IColumn = indexToFieldName[I]; //get unique column codes from major/minor map numbers
string JColumn = indexToFieldName[J];
string IText = variables[IColumn]; //use the two unique column codes to lookup the text descriptions
string JText = variables[JColumn];
System.Diagnostics.Debug.WriteLine(value + "," + IColumn + "," + JColumn + ",\"(" + ITable + ") " + IText + " AND (" + JTable + ") " + JText + "\"");
}
}
}
}
public GovDatastore()
{
//define field names in GovDatastore data that we require for processing
//TitleField = "title";
//LinkField = "resource-0-url";
//TagsField = "tags";
//DescriptionField = "notes_rendered";
CSVCatalogue reader = new CSVCatalogue();
reader.LineEndings = "\r"; //override line endings as this catalogue file only uses a CR
this.Catalogue = reader.ReadCatalogue(Path.Combine(DataRootDir, CatalogueFile));
this.ResourcesDT = reader.ReadCatalogue(Path.Combine(DataRootDir, CatResourcesFile));
//datasets has: Name,Title,URL,Organization,Top level organisation,License,Published,NII,Location,Import source,Author,Geographic Coverage,Isopen,License,License Id,Maintainer,Mandate,Metadata Created,Metadata Modified,Notes,Odi Certificate,ODI Certificate URL,Tags,Temporal Coverage From,Temporal Coverage To,Primary Theme,Secondary Themes,Update Frequency,Version
//resources has: Dataset Name,URL,Format,Description,Resource ID,Position,Date,Organization,Top level organization
//so join on Name and Dataset Name
//todo: this doesn't work as the dataset name in the resources file isn't unique - it contains multiple entries for all the resources attached to a dataset.
//this means that you're going to have to handle two tables and merge the descriptions together somehow.
//TODO: none of this works yet
/*DataColumn DatasetNameCol = resource.Columns["Dataset Name"];
* resource.PrimaryKey = new DataColumn[] { DatasetNameCol };
* //create the new columns in catalogue
* //foreach (DataColumn col in resource.Columns)
* //{
* // if (col.ColumnName == "URL") this.Catalogue.Columns.Add("URL2"); //there's already one in the catalogue csv file
* // if (col.ColumnName != "Dataset Name") this.Catalogue.Columns.Add(col.ColumnName, typeof(string));
* //}
* //Manually add columns because of the duplicates
* this.Catalogue.Columns.Add("URL2", typeof(string));
* this.Catalogue.Columns.Add("Format", typeof(string));
* this.Catalogue.Columns.Add("Description", typeof(string));
* this.Catalogue.Columns.Add("Resource ID", typeof(string));
* this.Catalogue.Columns.Add("Position", typeof(string));
* this.Catalogue.Columns.Add("Date", typeof(string));
* //now add elements to row, joining in name and Dataset Namerows
* foreach (DataRow row in this.Catalogue.Rows)
* {
* string DatasetName = row["Name"] as string;
* DataRow ResRow = resource.Rows.Find(DatasetName);
* if (ResRow == null)
* {
* System.Diagnostics.Debug.WriteLine("Error: resource " + DatasetName + " not found in catalogue");
* }
* else
* {
* row["URL2"] = ResRow["URL"];
* row["Format"] = ResRow["Format"];
* row["Description"] = ResRow["Description"];
* row["Resource ID"] = ResRow["Resource ID"];
* row["Position"] = ResRow["Position"];
* row["Date"] = ResRow["Date"];
* }
* }*/
//resource-0-format is CSV (also look at RDF etc)
//also note bbox-east-long, bbox-north-lat, bbox-south-lat, bbox-west-long, spatial-reference-system and spatial contains a polygon box
//then create a schema to describe what the columns are
//define field names in GovDatastore data that we require for processing
//2012 schema
//Schema = new DatastoreSchema();
//Schema.AddField("title", SemanticFieldType.Title);
//Schema.AddField("notes_rendered", SemanticFieldType.Description);
//Schema.AddField("resource-0-url", SemanticFieldType.Link);
//Schema.AddField("tags", SemanticFieldType.Tags);
//2016 schema
//as of 4 April 2016, the data now looks like this:
//Name,Title,URL,Organization,Top level organisation,License,Published,NII,Location,Import source,Author,Geographic Coverage,Isopen,License,License Id,Maintainer,Mandate,Metadata Created,Metadata Modified,Notes,Odi Certificate,ODI Certificate URL,Tags,Temporal Coverage From,Temporal Coverage To,Primary Theme,Secondary Themes,Update Frequency,Version
Schema = new DatastoreSchema();
Schema.AddField("Title", SemanticFieldType.Title);
//Schema.AddField("Notes", SemanticFieldType.Description);
Schema.AddField("Description", SemanticFieldType.Description);
//Schema.AddField("URL", SemanticFieldType.Link);
Schema.AddField("URL2", SemanticFieldType.Link);
Schema.AddField("Tags", SemanticFieldType.Tags);
}