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#* | ||
.idea | ||
*.iml | ||
gtfs.zip | ||
.DS_Store | ||
**/tests/*feed | ||
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====== | ||
=========== | ||
GTFSDB | ||
====== | ||
=========== | ||
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.. image:: https://badges.gitter.im/Join%20Chat.svg | ||
:alt: Join the chat at https://gitter.im/OpenTransitTools/gtfsdb | ||
:target: https://gitter.im/OpenTransitTools/gtfsdb?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge | ||
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Supported Databases | ||
=================== | ||
******************* | ||
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- PostgreSQL (PostGIS for Geo tables) - preferred | ||
- Oracle - tested | ||
- MySQL - tested | ||
- SQLite - tested | ||
* PostgreSQL (PostGIS for Geo tables) - preferred | ||
* Oracle - tested | ||
* MySQL - tested | ||
* SQLite - tested | ||
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GTFS (General Transit Feed Specification) Database | ||
================================================== | ||
************************************************** | ||
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Python code that will load GTFS data into a relational database, and SQLAlchemy ORM bindings to the GTFS tables in the gtfsdb. | ||
The gtfsdb project's focus is on making GTFS data available in a programmatic context for software developers. The need for the | ||
gtfsdb project comes from the fact that a lot of developers start out a GTFS-related effort by first building some amount of code | ||
to read GTFS data (whether that's an in-memory loader, a database loader, etc...); GTFSDB can hopefully reduce the need for such | ||
drudgery, and give developers a starting point beyond the first step of dealing with GTFS in .csv file format. | ||
Python code that will load GTFS data into a relational database, and SQLAlchemy ORM bindings to the GTFS tables in the gtfsdb. The gtfsdb project's focus is on making GTFS data available in a programmatic context for software developers. The need for the gtfsdb project comes from the fact that a lot of developers start out a GTFS-related effort by first building some amount of code to read GTFS data (whether that's an in-memory loader, a database loader, etc...); GTFSDB can hopefully reduce the need for such drudgery, and give developers a starting point beyond the first step of dealing with GTFS in .csv file format. | ||
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(Slightly out-of-date version) available on pypi: https://pypi.python.org/pypi/gtfsdb | ||
Available on pypi: https://pypi.python.org/pypi/gtfsdb | ||
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Install from source via github (if you want the latest code) : | ||
========================================== | ||
************************************************************** | ||
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#. Install Python 3.x https://www.python.org/downloads/ (code also runs on 2.7 if you are stuck on that version) | ||
#. `pip install zc.buildout` - https://pypi.org/project/zc.buildout | ||
#. (optinal step for **postgres users**: 'pip install psycopg2-binary') | ||
#. git clone https://github.com/OpenTransitTools/gtfsdb.git | ||
#. cd gtfsdb | ||
#. buildout install prod -- NOTE: if you're using postgres, do a 'buildout install prod postgresql' | ||
#. bin/gtfsdb-load --database_url <db url> <gtfs file | url> | ||
#. examples: | ||
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1. Install Python 3.x https://www.python.org/downloads/ (code also runs on 2.7 if you are stuck on that version) | ||
* bin/gtfsdb-load --database_url sqlite:///gtfs.db gtfsdb/tests/large-sample-feed.zip | ||
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2. `pip install zc.buildout` - https://pypi.org/project/zc.buildout | ||
* bin/gtfsdb-load --database_url sqlite:///gtfs.db http://developer.trimet.org/schedule/gtfs.zip | ||
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3. (optinal step for **postgres users**: 'pip install psycopg2-binary') | ||
* bin/gtfsdb-load --database_url postgresql://postgres@localhost:5432 --is_geospatial http://developer.trimet.org/schedule/gtfs.zip | ||
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4. git clone https://github.com/OpenTransitTools/gtfsdb.git | ||
.. note:: adding the `is_geospatial` cmdline flag, when paired with a spatial-database ala PostGIS (e.g., is_spatial is meaningless with sqllite), will take longer to load...but will create geometry columns for both rendering and calculating nearest distances, etc... | ||
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5. cd gtfsdb | ||
#. view db ( example: https://sqliteonline.com ) | ||
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6. buildout install prod -- NOTE: if you're using postgres, do a 'buildout install prod postgresql' | ||
The best way to get gtfsbd up and running is via the 'zc.buildout' tool. Highly recommended to first install | ||
buildout (e.g., pip install zc.buildout) before doing much of anything else. | ||
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7. bin/gtfsdb-load --database_url <db url> <gtfs file | url> | ||
Postgres users, gtfsdb requires the psycopg2-binary database driver. Installing that via `pip install psychopg2-binary` will relieve gtfsdb from re-installing locally as part of the build. And if after the fact, you see *exceptions* mentioning | ||
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examples: | ||
.. note:: if you get the message "ImportError: No module named psycopg2", then 'pip install psychopg2-binary' should fix things. (Assumes you have postgres also installed on the machine you're trying to use the pg driver). | ||
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- bin/gtfsdb-load --database_url sqlite:///gtfs.db gtfsdb/tests/large-sample-feed.zip | ||
- bin/gtfsdb-load --database_url sqlite:///gtfs.db http://developer.trimet.org/schedule/gtfs.zip | ||
- bin/gtfsdb-load --database_url postgresql://postgres@localhost:5432 --is_geospatial http://developer.trimet.org/schedule/gtfs.zip | ||
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NOTE: adding the `is_geospatial` cmdline flag, when paired with a spatial-database ala PostGIS (e.g., is_spatial is meaningless with sqllite), will take longer to load...but will create geometry columns for both rendering and calculating nearest distances, etc... | ||
Usage with Docker: | ||
****************** | ||
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8. view db ( example: https://sqliteonline.com ) | ||
#. Build the image with `docker build -t gtfsdb .` | ||
#. Run it with: | ||
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The best way to get gtfsbd up and running is via the 'zc.buildout' tool. Highly recommended to first install | ||
buildout (e.g., pip install zc.buildout) before doing much of anything else. | ||
.. code-block:: bash | ||
Postgres users, gtfsdb requires the psycopg2-binary database driver. Installing that via `pip install psychopg2-binary` | ||
will relieve gtfsdb from re-installing locally as part of the build. And if after the fact, you see *exceptions* mentioning | ||
**"ImportError: No module named psycopg2"**, then 'pip install psychopg2-binary' should fix that up quick... | ||
docker run gtfsdb --database_url <db url> <gtfs file | url> | ||
.. note:: The entrypoint command is `bin/gtfsdb-load` so the arguments will be passed to it. | ||
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Usage with Docker | ||
================= | ||
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1. Build the image with :code:`docker build -t gtfsdb .`. | ||
2. Run it with | ||
:code:`docker run gtfsdb --database_url <db url> <gtfs file | url>`. | ||
The entrypoint command is :code:`bin/gtfsdb-load` | ||
so the arguments will be passed to it. | ||
Example Queries: | ||
**************** | ||
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* get first stop time of each trip for route_id 1 | ||
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Example Query: | ||
============== | ||
.. code-block:: sql | ||
-- get first stop time of each trip for route_id 1 | ||
select * | ||
from trips t, stop_times st | ||
where t.route_id = '1' | ||
and t.trip_id = st.trip_id | ||
and st.stop_sequence = 1 | ||
select * | ||
from trips t, stop_times st | ||
where t.route_id = '1' | ||
and t.trip_id = st.trip_id | ||
and st.stop_sequence = 1 | ||
* get agency name and number of routes | ||
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-- get agency name and number of routes | ||
.. code-block:: sql | ||
select a.agency_name, a.agency_id, count(r.route_id) | ||
from routes r, agency a | ||
where r.agency_id = a.agency_id | ||
group by a.agency_id, a.agency_name | ||
order by 3 desc | ||
select a.agency_name, a.agency_id, count(r.route_id) | ||
from routes r, agency a | ||
where r.agency_id = a.agency_id | ||
group by a.agency_id, a.agency_name | ||
order by 3 desc |
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from sqlalchemy import Column, Integer, Sequence | ||
from sqlalchemy.types import String | ||
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from gtfsdb import config | ||
from gtfsdb.model.base import Base | ||
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class Translation(Base): | ||
datasource = config.DATASOURCE_GTFS | ||
filename = 'translations.txt' | ||
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__tablename__ = 'translations' | ||
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id = Column(Integer, Sequence(None, optional=True), primary_key=True) | ||
table_name = Column(String(255), nullable=False) | ||
field_name = Column(String(255), nullable=False) | ||
language = Column(String(255), nullable=False) | ||
translation = Column(String(255), nullable=False) | ||
record_id = Column(String(255)) | ||
record_sub_id = Column(String(255)) | ||
field_value = Column(String(255)) |
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