Metadata-Version: 2.1
Name: csvs-to-sqlite
Version: 0.9
Summary: Convert CSV files into a SQLite database
Home-page: https://github.com/simonw/csvs-to-sqlite
Author: Simon Willison
License: Apache License, Version 2.0
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: End Users/Desktop
Classifier: Topic :: Database
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
Requires-Dist: click (>=6.0.0)
Requires-Dist: dateparser (>=0.7.0)
Requires-Dist: pandas (>=0.23.4)
Requires-Dist: py-lru-cache (==0.1.4)
Requires-Dist: six

# csvs-to-sqlite

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Convert CSV files into a SQLite database. Browse and publish that SQLite database with [Datasette](https://github.com/simonw/datasette).

Basic usage:

    csvs-to-sqlite myfile.csv mydatabase.db

This will create a new SQLite database called `mydatabase.db` containing a
single table, `myfile`, containing the CSV content.

You can provide multiple CSV files:

    csvs-to-sqlite one.csv two.csv bundle.db

The `bundle.db` database will contain two tables, `one` and `two`.

This means you can use wildcards:

    csvs-to-sqlite ~/Downloads/*.csv my-downloads.db

If 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.db

## Handling TSV (tab-separated values)

You can use the `-s` option 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 tables

Let'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](https://github.com/openelections/openelections-data-sd/blob/master/2016/20160607__sd__primary__clark__precinct.csv))

You can now convert selected columns into separate lookup tables using the new
`--extract-`column option (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.db

The format is as follows:

    column_name:optional_table_name:optional_table_value_column_name

If 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:name` the 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-sqlite

## csvs-to-sqlite --help

    Usage: 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
      --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)
      --version                    Show the version and exit.
      --help                       Show this message and exit.


