Package: csvs-to-sqlite
csvs-to-sqliteConvert CSV files into a SQLite database. Browse and publish that SQLite database withDatasette.Basic usage:csvs-to-sqlite myfile.csv mydatabase.dbThis will create a new SQLite database calledmydatabase.dbcontaining a
single table,myfile, containing the CSV content.You can provide multiple CSV files:csvs-to-sqlite one.csv two.csv bundle.dbThebundle.dbdatabase will contain two tables,oneandtwo.This means you can use wildcards:csvs-to-sqlite ~/Downloads/*.csv my-downloads.dbIf you pass a path to one or more directories, the script will recursively
search those directories for CSV files and create tables for each one.csvs-to-sqlite ~/path/to/directory all-my-csvs.dbHandling TSV (tab-separated values)You can use the-soption to specify a different delimiter. If you want
to use a tab character you'll need to apply shell escaping like so:csvs-to-sqlite my-file.tsv my-file.db -s $'\t'Refactoring columns into separate lookup tablesLet's say you have a CSV file that looks like this:county,precinct,office,district,party,candidate,votes
Clark,1,President,,REP,John R. Kasich,5
Clark,2,President,,REP,John R. Kasich,0
Clark,3,President,,REP,John R. Kasich,7(Real example taken from the Open Elections project)You can now convert selected columns into separate lookup tables using the new--extract-columnoption (shortname:-c) - for example:csvs-to-sqlite openelections-data-*/*.csv \
    -c county:County:name \
    -c precinct:Precinct:name \
    -c office -c district -c party -c candidate \
    openelections.dbThe format is as follows:column_name:optional_table_name:optional_table_value_column_nameIf you just specify the column name e.g.-c office, the following table will
be created:CREATE TABLE "office" (
    "id" INTEGER PRIMARY KEY,
    "value" TEXT
);If you specify all three options, e.g.-c precinct:Precinct:namethe table
will look like this:CREATE TABLE "Precinct" (
    "id" INTEGER PRIMARY KEY,
    "name" TEXT
);The original tables will be created like this:CREATE TABLE "ca__primary__san_francisco__precinct" (
    "county" INTEGER,
    "precinct" INTEGER,
    "office" INTEGER,
    "district" INTEGER,
    "party" INTEGER,
    "candidate" INTEGER,
    "votes" INTEGER,
    FOREIGN KEY (county) REFERENCES County(id),
    FOREIGN KEY (party) REFERENCES party(id),
    FOREIGN KEY (precinct) REFERENCES Precinct(id),
    FOREIGN KEY (office) REFERENCES office(id),
    FOREIGN KEY (candidate) REFERENCES candidate(id)
);They will be populated with IDs that reference the new derived tables.Installation$ pip install csvs-to-sqlitecsvs-to-sqlitenow requires Python 3. If you are running Python 2 you can install the last version to support Python 2:$ pip install csvs-to-sqlite==0.9.2csvs-to-sqlite --helpUsage: csvs-to-sqlite [OPTIONS] PATHS... DBNAME

  PATHS: paths to individual .csv files or to directories containing .csvs

  DBNAME: name of the SQLite database file to create

Options:
  -s, --separator TEXT            Field separator in input .csv
  -q, --quoting INTEGER           Control field quoting behavior per csv.QUOTE_*
                                  constants. Use one of QUOTE_MINIMAL (0),
                                  QUOTE_ALL (1), QUOTE_NONNUMERIC (2) or
                                  QUOTE_NONE (3).

  --skip-errors                   Skip lines with too many fields instead of
                                  stopping the import

  --replace-tables                Replace tables if they already exist
  -t, --table TEXT                Table to use (instead of using CSV filename)
  -c, --extract-column TEXT       One or more columns to 'extract' into a
                                  separate lookup table. If you pass a simple
                                  column name that column will be replaced with
                                  integer foreign key references to a new table
                                  of that name. You can customize the name of
                                  the table like so:     state:States:state_name
                                  
                                  This will pull unique values from the 'state'
                                  column and use them to populate a new 'States'
                                  table, with an id column primary key and a
                                  state_name column containing the strings from
                                  the original column.

  -d, --date TEXT                 One or more columns to parse into ISO
                                  formatted dates

  -dt, --datetime TEXT            One or more columns to parse into ISO
                                  formatted datetimes

  -df, --datetime-format TEXT     One or more custom date format strings to try
                                  when parsing dates/datetimes

  -pk, --primary-key TEXT         One or more columns to use as the primary key
  -f, --fts TEXT                  One or more columns to use to populate a full-
                                  text index

  -i, --index TEXT                Add index on this column (or a compound index
                                  with -i col1,col2)

  --shape TEXT                    Custom shape for the DB table - format is
                                  csvcol:dbcol(TYPE),...

  --filename-column TEXT          Add a column with this name and populate with
                                  CSV file name

  --fixed-column <TEXT TEXT>...   Populate column with a fixed string
  --fixed-column-int <TEXT INTEGER>...
                                  Populate column with a fixed integer
  --fixed-column-float <TEXT FLOAT>...
                                  Populate column with a fixed float
  --no-index-fks                  Skip adding index to foreign key columns
                                  created using --extract-column (default is to
                                  add them)

  --no-fulltext-fks               Skip adding full-text index on values
                                  extracted using --extract-column (default is
                                  to add them)

  --just-strings                  Import all columns as text strings by default
                                  (and, if specified, still obey --shape,
                                  --date/datetime, and --datetime-format)

  --version                       Show the version and exit.
  --help                          Show this message and exit.