Metadata-Version: 2.1
Name: gqlalchemy
Version: 1.0.2
Summary: GQLAlchemy is library developed with purpose of assisting writing and running queries on Memgraph.
Home-page: https://github.com/memgraph/gqlalchemy
License: Apache-2.0
Author: Jure Bajic
Author-email: jure.bajic@memgraph.com
Requires-Python: >=3.8,<4.0
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Dist: pymgclient (>=1.0.0,<2.0.0)
Project-URL: Repository, https://github.com/memgraph/gqlalchemy
Description-Content-Type: text/markdown

GQLAlchemy
=================

<p align="left">
    <a href="https://github.com/memgraph/gqlalchemy/actions" alt="Actions"> <img src="https://img.shields.io/github/workflow/status/memgraph/gqlalchemy/Build%20and%20Test" /></a>
</p>

GQLAlchemy is library developed with purpose of assisting writing and running
queries on Memgraph. GQLAlchemy supports high-level connection to Memgraph
as well as modular query builder.

GQLAlchemy is built on top of Memgraph's low-level client pymgclient
([pypi](https://pypi.org/project/pymgclient/) /
[documentation](https://memgraph.github.io/pymgclient/) /
[GitHub](https://github.com/memgraph/pymgclient)).

Installation
------------
To install `gqlalchemy`, simply run the following command:
```
pip install gqlalchemy
```

Match Example
--------------

When working with the `pymgclient`, Python developer can connect to database
and execute `MATCH` cypher query with following syntax:

```python
import mgclient

conn = mgclient.connect(host='127.0.0.1', port=7687)

cursor = conn.cursor()
cursor.execute("""
    MATCH (from:Node)-[:Connection]->(to:Node)
    RETURN from, to;
""")
result = cursor.fetchone()
conn.commit()

for result in results:
    print(result['from'])
    print(result['to'])
```

As we can see, example above can be error-prone, because we do not have
abstractions for creating a database connection and `MATCH` query.

Now, rewrite the exact same query by using the functionality of `gqlalchemy`.

```python

from gqlalchemy import Match, Memgraph

memgraph = Memgraph()

results = Match().node("Node",variable="from")
                 .to("Connection")
                 .node("Node",variable="to")
                 .execute()

for result in results:
    print(result['from'])
    print(result['to'])
```

License
-------

Copyright (c) 2016-2021 [Memgraph Ltd.](https://memgraph.com)

Licensed under the Apache License, Version 2.0 (the "License"); you may not use
this file except in compliance with the License. You may obtain a copy of the
License at

     http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed
under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
CONDITIONS OF ANY KIND, either express or implied. See the License for the
specific language governing permissions and limitations under the License.

