Metadata-Version: 2.1
Name: csvs_update_sqlite
Version: 1.3
Summary: Convert CSV files into a SQLite database
Home-page: https://github.com/dkaoster/csvs-update-sqlite
Author: Daniel Kao
License: Apache License, Version 2.0
Platform: UNKNOWN
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 :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
Provides-Extra: test
License-File: LICENSE

# csvs-update-sqlite

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

Based on [csvs-to-sqlite](https://github.com/simonw/csvs-to-sqlite).

Basic usage:

    csvs-update-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-update-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-update-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-update-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-update-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-update-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-update-sqlite

## csvs-update-sqlite --help

<!-- [[[cog
import cog
from csvs_update_sqlite import cli
from click.testing import CliRunner
runner = CliRunner()
result = runner.invoke(cli.cli, ["--help"])
help = result.output.replace("Usage: cli", "Usage: csvs-update-sqlite")
cog.out(
    "```\n{}\n```".format(help)
)
]]] -->
```
Usage: csvs-update-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.

```
<!-- [[[end]]] -->


