frdr_harvest | This is a repository crawler which outputs gmeta
kandi X-RAY | frdr_harvest Summary
kandi X-RAY | frdr_harvest Summary
frdr_harvest is a Python library. frdr_harvest has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
This is a repository crawler which outputs gmeta.json files for indexing by Globus. It currently supports OAI, CKAN, MarkLogic, Socrata, CSW, DataStream, and OpenDataSoft repositories. Configuration is split into two files. The first controls the operation of the indexer, and is located in conf/harvester.conf.
This is a repository crawler which outputs gmeta.json files for indexing by Globus. It currently supports OAI, CKAN, MarkLogic, Socrata, CSW, DataStream, and OpenDataSoft repositories. Configuration is split into two files. The first controls the operation of the indexer, and is located in conf/harvester.conf.
Support
Quality
Security
License
Reuse
Support
frdr_harvest has a low active ecosystem.
It has 6 star(s) with 2 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
There are 2 open issues and 18 have been closed. On average issues are closed in 206 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of frdr_harvest is current.
Quality
frdr_harvest has no bugs reported.
Security
frdr_harvest has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
frdr_harvest is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
frdr_harvest releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed frdr_harvest and discovered the below as its top functions. This is intended to give you an instant insight into frdr_harvest implemented functionality, and help decide if they suit your requirements.
- Perform the crawler
- Get a connection to the database
- Humanize a number
- Update the repository
- Prepare query string
- Run the admin server
- Log error message
- Return a configuration parser
- Updates an OAI record
- Delete record
- Delete items by url
- Export data to a file
- Crawl the repo
- Get the configuration for repos
- Update a single record
- Returns a human - readable representation of a number
- Updates a record
- Crawl API
- Crawl
- Update a CKAN record
- Update the OAI record
- Crawl request
- Update a record in the database
- Update stale records
- Flush the buffer
- Update a datastream
- Query a repository
Get all kandi verified functions for this library.
frdr_harvest Key Features
No Key Features are available at this moment for frdr_harvest.
frdr_harvest Examples and Code Snippets
No Code Snippets are available at this moment for frdr_harvest.
Community Discussions
No Community Discussions are available at this moment for frdr_harvest.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install frdr_harvest
You can download it from GitHub.
You can use frdr_harvest like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use frdr_harvest like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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