1. 19 Aug, 2016 8 commits
  2. 18 Aug, 2016 1 commit
  3. 08 Aug, 2016 1 commit
  4. 28 Jul, 2016 1 commit
  5. 15 Jul, 2016 10 commits
  6. 01 Jul, 2016 2 commits
  7. 23 Jun, 2016 1 commit
  8. 21 Jun, 2016 2 commits
  9. 26 May, 2016 1 commit
  10. 24 May, 2016 1 commit
  11. 25 Apr, 2016 1 commit
  12. 22 Apr, 2016 1 commit
  13. 21 Apr, 2016 1 commit
  14. 20 Apr, 2016 1 commit
  15. 18 Apr, 2016 3 commits
  16. 14 Apr, 2016 1 commit
    • Douglas's avatar
      wendelin_configurator: added knowledge pad with wendelin introduction · 093000a8
      Douglas authored
      Please review, @Tyagov.
      
      This knowledge pad includes the WendelinInfo gadget, which is a simple
      introduction to Wendelin and pointer to its documentation. The script
      BusinessConfiguration_afterWendelinConfiguration now activates the knowledge pad
      home page automatically.
      
      This business template was migrated into the new format.
      
      Screenshot: 
      
      ![wendelin-information-gadget](/uploads/25369df9342e1eebf973bbffe112bf98/wendelin-information-gadget.png)
      
      /reviewed-on nexedi/wendelin!12
      093000a8
  17. 13 Apr, 2016 3 commits
  18. 12 Apr, 2016 1 commit
    • Douglas's avatar
      Pandas-based Inventory API Protoype · 237cc8b3
      Douglas authored
      Please, review @Tyagov, @kirr and @tatuya. 
      
      All the information of this merge request is in the commit message, I'm pasting here for convenience. 
      
      ## Pandas-based Inventory API Protoype
      
      The implementation relies on the Data Array Module. It imports data from the
      stocks table through a zSQL Method. Category information is added later in a
      column-wise way, so it can be easily done in parallel and query Portal Catalog
      once for each category column in the array. This category processing needs to be
      done only once, when the array is created, and to new data as it is added.
      
      But there is a catch: each entity that belongs to the movement can have many
      categories. So the row can be duplicated for each entity's categories and
      searched by equality, or they can be stored as comma-separated values and
      searched using a regular expression. Regular expression seems faster for
      datasets up to 1M rows.
      
      Some unit tests were also added.
      
      These are the external methods created and their purposes:
      
      - Base_filterInventoryDataFrame is there just to parse keyword arguments and
      forward them to Base_getInventoryDataFrame. This is used for the non-programmer
      interface of Pandas-based getMovementHistoryList implementation and can be
      used as an external method in other scripts too.
      
      - Base_convertResultsToBigArray will convert results of Portal Catalog and ZSQL
      Method to a Data Array with a proer transformation of the schema to a
      compatible NumPy data type.
      
      - Base_extendBigArray will extend a Data Array with a Portal Catalog query or
      ZSQL Method result. Raise errors when the extension data type doesn't match
      the source.
      
      - Base_fillPandasInventoryCategoryList will fill category infomration in a Data
      Array which has stock movements information.
      
      - Base_zGetStockByResource is used in a test case as source to create a Data
      Array with stock data. 
      
      /reviewed-on nexedi/wendelin!10
      237cc8b3