Centillion - Revision history

Admin: /* Frontend */

2018-08-04T04:19:41Z

Frontend

← Older revision		Revision as of 04:19, 4 August 2018
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	[[Image:CentillionCP.png\|500px]]		[[Image:CentillionCP.png\|500px]]




			==Flags==

			{{SearchFlag}}

			{{PythonFlag}}

Admin at 04:18, 4 August 2018

2018-08-04T04:18:48Z

← Older revision		Revision as of 04:18, 4 August 2018
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	More information is in the README in the repository.		More information is in the README in the repository.

			[[Image:Centillion.png\|500px]]

	==How it works==		==How it works==

Admin: /* Frontend */

2018-08-04T04:17:32Z

Frontend

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 (Note that you cannot simply leave the field out entirely, you must explicitly set it to an empty string when you create your search index record.)
 ===Frontend===
-The front end page
+The frontend page is a bootstrap-py simple search box, and a control panel that uses some of bootstrap's nicer elements.

Admin: /* Schema */

2018-08-04T04:15:10Z

Schema

← Older revision		Revision as of 04:15, 4 August 2018
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	Github issues and comments provide another example. The add issue method takes an object as an input (an Issue object from the PyGithub library), and turns that issue into a search record. To do that, the issue's text is extracted, but then the text of each comment is also extracted and appended to the issue text, so that issues and comments in a single thread show up as a single search result.		Github issues and comments provide another example. The add issue method takes an object as an input (an Issue object from the PyGithub library), and turns that issue into a search record. To do that, the issue's text is extracted, but then the text of each comment is also extracted and appended to the issue text, so that issues and comments in a single thread show up as a single search result.

	===~~Schema~~===		====Whoosh schema====

	one thing we did not mention about Centillion was how the schema works, given that Centillion searches across such heterogeneous record types (files, documents, issues, and markdown files).		one thing we did not mention about Centillion was how the schema works, given that Centillion searches across such heterogeneous record types (files, documents, issues, and markdown files).

Admin: /* Backend */

2018-08-04T04:14:48Z

Backend

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 The search engine backend uses whoosh. There is a Search object that extends the whoosh search index object. The user also defines a scheme, and that allows them to create a search index.
-There are three basic kinds of actions:
+====Update search index method====
 * Add new documents to the search index
 * Update changed documents in the search index
 * Delete removed documents
 ===Frontend===
 The front end page

Admin: Created page with "Link: https://git.charlesreid1.com/charlesreid1/centillion Centillion is a search engine written using Whoosh, a Python library for building search engines. It indexes Go..."

2018-08-04T03:54:58Z

Created page with "Link: https://git.charlesreid1.com/charlesreid1/centillion Centillion is a search engine written using Whoosh, a Python library for building search engines. It indexes Go..."

New page

Link: https://git.charlesreid1.com/charlesreid1/centillion

Centillion is a search engine written using [[Whoosh]], a Python library for building search engines. It indexes Google Drive file and documents, Github issues, and markdown files in Github repositories.

More information is in the README in the repository.

==How it works==

Here's the basic rundown:

===Backend===

The search engine backend uses whoosh. There is a Search object that extends the whoosh search index object. The user also defines a scheme, and that allows them to create a search index.

There are three basic kinds of actions:
* Add new documents to the search index
* Update changed documents in the search index
* Delete removed documents

===Frontend===

The front end page