{ "info": { "author": "IOMED Medical Solutions SL", "author_email": "dev@iomed.es", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Topic :: Software Development :: Build Tools" ], "description": "# Agensgraph python driver\n\nA psycopg2 extension to use [AgensGraph][1] with Python.\n\n### Documentation\n\nGo to [Psycopg's documentation][2] for documentation about the Python interface and to [AgensGraph][1] documentation for AgensSQL. If you want to learn more about Cypher, I recommend you to go to [Neo4j's][3] documentation.\n\n\n### How to \n```python\nimport agensgraph\n\nconn = agensgraph.connect(\"dbname=iomed\") # Equivalent to psycopg2.connect\ncur = conn.cursor()\ncur.execute(\"SET graph_path=snomed;\")\n\ncur.execute(\"MATCH (a)-[r]->(b) RETURN a,r,b LIMIT 10;\")\nresult = cur.fetchall()\n\n```\n\n\n**Copyright \u00a9 2017, IOMED Medical Solutions S.L.**\n\n[1]: http://bitnine.net/wp-content/uploads/2017/06/html5/main.html\n[2]: http://initd.org/psycopg/docs/index.html \n[3]: https://neo4j.com/docs/developer-manual/current/cypher/\n\n\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/iomedhealth/agensgraph", "keywords": "postgres", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "agensgraph", "package_url": "https://pypi.org/project/agensgraph/", "platform": "", "project_url": "https://pypi.org/project/agensgraph/", "project_urls": { "Homepage": "https://github.com/iomedhealth/agensgraph" }, "release_url": "https://pypi.org/project/agensgraph/0.0.2/", "requires_dist": null, "requires_python": "", "summary": "A Python driver for Agensgraph", "version": "0.0.2" }, "last_serial": 3740735, "releases": { "0.0.1": [ { "comment_text": "", "digests": { "md5": "855de2a7e3789bddd78f82b77a6d2e5a", "sha256": "965cbf8cd065120d564565e20f2d4827048b6832fe518e679d23ff83720e2747" }, "downloads": -1, "filename": "agensgraph-0.0.1.tar.gz", "has_sig": false, "md5_digest": "855de2a7e3789bddd78f82b77a6d2e5a", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2860, "upload_time": "2017-11-07T08:15:33", "url": "https://files.pythonhosted.org/packages/c5/77/9153f70e7d8ad861e377c983f5f7a3293841a16c308c6844d900cb25e6f0/agensgraph-0.0.1.tar.gz" } ], "0.0.2": [ { "comment_text": "", "digests": { "md5": "0c2843c2c36ebcd1584ad91dadd4c7c3", "sha256": "e7d3af5c09541b3fd7e7f40a44104eb71ccb3ec5e6ea30005b43231ac06479cd" }, "downloads": -1, "filename": "agensgraph-0.0.2.tar.gz", "has_sig": false, "md5_digest": "0c2843c2c36ebcd1584ad91dadd4c7c3", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2893, "upload_time": "2018-04-06T10:29:42", "url": "https://files.pythonhosted.org/packages/aa/aa/a4cfe3373e6cb615fa8a31ac8cf18d13ee46166e78c835b4ddb6d718c497/agensgraph-0.0.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "0c2843c2c36ebcd1584ad91dadd4c7c3", "sha256": "e7d3af5c09541b3fd7e7f40a44104eb71ccb3ec5e6ea30005b43231ac06479cd" }, "downloads": -1, "filename": "agensgraph-0.0.2.tar.gz", "has_sig": false, "md5_digest": "0c2843c2c36ebcd1584ad91dadd4c7c3", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2893, "upload_time": "2018-04-06T10:29:42", "url": "https://files.pythonhosted.org/packages/aa/aa/a4cfe3373e6cb615fa8a31ac8cf18d13ee46166e78c835b4ddb6d718c497/agensgraph-0.0.2.tar.gz" } ] }